xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

420d148bc469105cd3d8585bbbb8f38f1d6ec875

2,058

py

Python

metaflow/plugins/env_escape/configurations/test_lib_impl/test_lib.py

RobBlumberg/metaflow

9f737e6026eee250c1593a2cb1d1c4b19a00adf4

[ "Apache-2.0" ]

5,821

2019-12-03T17:57:52.000Z

2022-03-31T22:55:12.000Z

metaflow/plugins/env_escape/configurations/test_lib_impl/test_lib.py

RobBlumberg/metaflow

9f737e6026eee250c1593a2cb1d1c4b19a00adf4

[ "Apache-2.0" ]

605

2019-12-03T23:09:32.000Z

2022-03-31T16:15:05.000Z

metaflow/plugins/env_escape/configurations/test_lib_impl/test_lib.py

RobBlumberg/metaflow

9f737e6026eee250c1593a2cb1d1c4b19a00adf4

[ "Apache-2.0" ]

539

2019-12-03T18:25:53.000Z

2022-03-29T18:22:33.000Z

import functools class MyBaseException(Exception): pass class SomeException(MyBaseException): pass class TestClass1(object): cls_object = 25 def __init__(self, value): self._value = value self._value2 = 123 def unsupported_method(self): pass def print_value(self): return self._value def __str__(self): return "My str representation is %s" % str(self._value) def __repr__(self): return "My repr representation is %s" % str(self._value) @property def value(self): return self._value @value.setter def value(self, value): self._value = value def to_class2(self, count, stride=1): return TestClass2(self._value, stride, count) @staticmethod def somethingstatic(val): return val + 42 @classmethod def somethingclass(cls): return cls.cls_object @property def override_value(self): return self._value2 @override_value.setter def override_value(self, value): self._value2 = value class TestClass2(object): def __init__(self, value, stride, count): self._mylist = [value + stride * i for i in range(count)] def something(self, val): return "In Test2 with %s" % val def __iter__(self): self._pos = 0 return self def __next__(self): if self._pos < len(self._mylist): self._pos += 1 return self._mylist[self._pos - 1] raise StopIteration class TestClass3(object): def __init__(self): print("I am Class3") def thirdfunction(self, val): print("Got value: %s" % val) # raise AttributeError("Some weird error") def raiseSomething(self): raise SomeException("Something went wrong") def __hidden(self, name, value): setattr(self, name, value) def weird_indirection(self, name): return functools.partial(self.__hidden, name) def test_func(*args, **kwargs): return "In test func" test_value = 1

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421a32da4769d80ffba1268d31b7a676642e60fc

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py

Python

s3prl/upstream/example/hubconf.py

hhhaaahhhaa/s3prl

a469787f05c42196c4d989555082f5fd9dcbe8a6

[ "Apache-2.0" ]

856

2021-01-15T15:40:32.000Z

2022-03-31T07:08:17.000Z

s3prl/upstream/example/hubconf.py

hhhaaahhhaa/s3prl

a469787f05c42196c4d989555082f5fd9dcbe8a6

[ "Apache-2.0" ]

210

2021-01-15T13:28:50.000Z

2022-03-30T06:13:51.000Z

s3prl/upstream/example/hubconf.py

hhhaaahhhaa/s3prl

a469787f05c42196c4d989555082f5fd9dcbe8a6

[ "Apache-2.0" ]

208

2021-01-15T03:03:12.000Z

2022-03-31T08:33:27.000Z

from .expert import UpstreamExpert as _UpstreamExpert def customized_upstream(*args, **kwargs): """ To enable your customized pretrained model, you only need to implement upstream/example/expert.py and leave this file as is. This file is used to register the UpstreamExpert in upstream/example/expert.py The following is a brief introduction of the registration mechanism. The s3prl/hub.py will collect all the entries registered in this file (callable variables without the underscore prefix) as a centralized upstream factory. One can pick up this upstream from the factory via 1. from s3prl.hub import customized_upstream model = customized_upstream(ckpt, model_config) 2. model = torch.hub.load( 'your_s3prl_path', 'customized_upstream', ckpt, model_config, source='local', ) Our run_downstream.py and downstream/runner.py follows the first usage """ return _UpstreamExpert(*args, **kwargs)

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421cd1f840cd074e3eb92df46eaaf5c4a3768113

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py

Python

boa3/model/builtin/interop/oracle/oracletype.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3/model/builtin/interop/oracle/oracletype.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3/model/builtin/interop/oracle/oracletype.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

from __future__ import annotations from typing import Any, Dict, Optional from boa3.model.method import Method from boa3.model.property import Property from boa3.model.type.classes.classarraytype import ClassArrayType from boa3.model.variable import Variable class OracleType(ClassArrayType): """ A class used to represent Oracle class """ def __init__(self): super().__init__('Oracle') self._variables: Dict[str, Variable] = {} self._class_methods: Dict[str, Method] = {} self._constructor: Method = None @property def instance_variables(self) -> Dict[str, Variable]: return self._variables.copy() @property def class_variables(self) -> Dict[str, Variable]: return {} @property def properties(self) -> Dict[str, Property]: return {} @property def static_methods(self) -> Dict[str, Method]: return {} @property def class_methods(self) -> Dict[str, Method]: # avoid recursive import from boa3.model.builtin.interop.oracle.oraclegetpricemethod import OracleGetPriceMethod from boa3.model.builtin.interop.oracle.oraclerequestmethod import OracleRequestMethod if len(self._class_methods) == 0: self._class_methods = { 'get_price': OracleGetPriceMethod(), 'request': OracleRequestMethod() } return self._class_methods @property def instance_methods(self) -> Dict[str, Method]: return {} def constructor_method(self) -> Optional[Method]: return self._constructor @classmethod def build(cls, value: Any = None) -> OracleType: if value is None or cls._is_type_of(value): return _Oracle @classmethod def _is_type_of(cls, value: Any): return isinstance(value, OracleType) _Oracle = OracleType()

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42228f1e28d8899ed8da922c4eb2bd3b92ca4e69

191

py

Python

photo-hub/api/pagination.py

RodionChachura/photo-hub

20ec008076a34cb09b289fda0557e2efc7e06232

[ "MIT" ]

null

photo-hub/api/pagination.py

RodionChachura/photo-hub

20ec008076a34cb09b289fda0557e2efc7e06232

[ "MIT" ]

null

photo-hub/api/pagination.py

RodionChachura/photo-hub

20ec008076a34cb09b289fda0557e2efc7e06232

[ "MIT" ]

null

from rest_framework.pagination import PageNumberPagination class StandardPagination(PageNumberPagination): page_size = 30 page_size_query_param = 'page_size' max_page_size = 1000

31.833333

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4269db32f55f118da9ba1a4ffe9262967fe30e06

283

py

Python

1501-1600/1560-Most Visited Sector in a Circular Track/1560-Most Visited Sector in a Circular Track.py

jiadaizhao/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

49

2018-05-05T02:53:10.000Z

2022-03-30T12:08:09.000Z

1501-1600/1560-Most Visited Sector in a Circular Track/1560-Most Visited Sector in a Circular Track.py

ptx-c/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

11

2017-12-15T22:31:44.000Z

2020-10-02T12:42:49.000Z

1501-1600/1560-Most Visited Sector in a Circular Track/1560-Most Visited Sector in a Circular Track.py

ptx-c/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

28

2017-12-05T10:56:51.000Z

2022-01-26T18:18:27.000Z

class Solution: def mostVisited(self, n: int, rounds: List[int]) -> List[int]: start, end = rounds[0], rounds[-1] if end >= start: return list(range(start, end + 1)) else: return list(range(1, end + 1)) + list(range(start, n + 1))

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null

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1

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3

4283b88a83b93254b8e97d4642f0ca0d5d69279d

68

py

Python

examples/02_pybind/01_basic/example.py

BlockResearchGroup/WS_interoperability

604ab29c242b30b2ee9125a589afe69010ba1844

[ "MIT" ]

1

2019-07-26T22:25:25.000Z

examples/02_pybind/01_basic/example.py

BlockResearchGroup/WS_interoperability

604ab29c242b30b2ee9125a589afe69010ba1844

[ "MIT" ]

5

2019-04-14T21:07:03.000Z

2019-05-27T21:46:37.000Z

examples/02_pybind/01_basic/example.py

BlockResearchGroup/WS_interoperability

604ab29c242b30b2ee9125a589afe69010ba1844

[ "MIT" ]

null

# example.py import basic result = basic.add(1, 5) print(result)

8.5

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null

0

1

0

3

429b9b03d73a5f7f9bbccc750f09ea936a25f8a0

78

py

Python

__init__.py

bbockelm/glideinWMS

a2b39e3d4ff6c4527efad54b1eefe728a4ec9d18

[ "BSD-3-Clause" ]

null

__init__.py

bbockelm/glideinWMS

a2b39e3d4ff6c4527efad54b1eefe728a4ec9d18

[ "BSD-3-Clause" ]

3

2015-12-02T19:37:45.000Z

2016-01-20T03:21:48.000Z

__init__.py

bbockelm/glideinWMS

a2b39e3d4ff6c4527efad54b1eefe728a4ec9d18

[ "BSD-3-Clause" ]

1

2015-12-01T23:02:41.000Z

__all__=["factory","frontend","lib","tools","creation","install","unittests"]

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42a96ad3b83164695c47573ef1f876f36eb4d891

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py

Python

pybloxy/classes/http.py

R0bl0x10501050/roblox.py

cbbb25878627c2d837caaeb7edf37d0aeda615ae

[ "MIT" ]

null

pybloxy/classes/http.py

R0bl0x10501050/roblox.py

cbbb25878627c2d837caaeb7edf37d0aeda615ae

[ "MIT" ]

null

pybloxy/classes/http.py

R0bl0x10501050/roblox.py

cbbb25878627c2d837caaeb7edf37d0aeda615ae

[ "MIT" ]

null

import logging import requests class Http: def sendRequest(url): payload = requests.get(str(url)) statusCode = payload.status_code content = payload.content if statusCode != 200: return logging.error(f"[Pybloxy - GET] Something went wrong! Error Code: {statusCode}") return content def postRequest(url, payload): payload = requests.post(str(url), data = payload) statusCode = payload.status_code content = payload.content if statusCode != 200: return logging.error(f"[Pybloxy - POST] Something went wrong! Error Code: {statusCode}") return content def patchRequest(url, payload): payload = requests.patch(str(url), data = payload) statusCode = payload.status_code content = payload.content if statusCode != 200: return logging.error(f"[Pybloxy - PATCH] Something went wrong! Error Code: {statusCode}") return content def deleteRequest(url, payload): payload = requests.delete(str(url)) statusCode = payload.status_code content = payload.content if statusCode != 200: return logging.error(f"[Pybloxy - DELETE] Something went wrong! Error Code: {statusCode}") return content

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py

Python

ZZZ_OtherDemo/00-dyld-832.7.3/testing/kernel-cache-tests/kext-missing-weak-bind/test.py

1079278593/TreasureChest

8b1ebe04ed7c2ed399c4ecf3b75b3fee0a1aced8

[ "MIT" ]

null

ZZZ_OtherDemo/00-dyld-832.7.3/testing/kernel-cache-tests/kext-missing-weak-bind/test.py

1079278593/TreasureChest

8b1ebe04ed7c2ed399c4ecf3b75b3fee0a1aced8

[ "MIT" ]

null

ZZZ_OtherDemo/00-dyld-832.7.3/testing/kernel-cache-tests/kext-missing-weak-bind/test.py

1079278593/TreasureChest

8b1ebe04ed7c2ed399c4ecf3b75b3fee0a1aced8

[ "MIT" ]

null

#!/usr/bin/python2.7 import os import KernelCollection # Check that weak binds can be missing, so long as we check for the magic symbol def check(kernel_cache): kernel_cache.buildKernelCollection("arm64", "/kext-missing-weak-bind/main.kc", "/kext-missing-weak-bind/main.kernel", "/kext-missing-weak-bind/extensions", ["com.apple.foo", "com.apple.bar"], []) kernel_cache.analyze("/kext-missing-weak-bind/main.kc", ["-layout", "-arch", "arm64"]) assert kernel_cache.dictionary()["cache-segments"][3]["name"] == "__DATA_CONST" assert kernel_cache.dictionary()["cache-segments"][3]["vmAddr"] == "0x18000" assert len(kernel_cache.dictionary()["dylibs"]) == 3 assert kernel_cache.dictionary()["dylibs"][0]["name"] == "com.apple.kernel" assert kernel_cache.dictionary()["dylibs"][1]["name"] == "com.apple.bar" assert kernel_cache.dictionary()["dylibs"][2]["name"] == "com.apple.foo" # Symbols kernel_cache.analyze("/kext-missing-weak-bind/main.kc", ["-symbols", "-arch", "arm64"]) # kernel assert kernel_cache.dictionary()["dylibs"][0]["name"] == "com.apple.kernel" assert kernel_cache.dictionary()["dylibs"][0]["global-symbols"][2]["name"] == "_gOSKextUnresolved" assert kernel_cache.dictionary()["dylibs"][0]["global-symbols"][2]["vmAddr"] == "0x20000" # Check the fixups kernel_cache.analyze("/kext-missing-weak-bind/main.kc", ["-fixups", "-arch", "arm64"]) assert len(kernel_cache.dictionary()["fixups"]) == 4 assert kernel_cache.dictionary()["fixups"]["0x18000"] == "kc(0) + 0x20000" assert kernel_cache.dictionary()["fixups"]["0x18008"] == "kc(0) + 0x20000" assert kernel_cache.dictionary()["fixups"]["0x18010"] == "kc(0) + 0x20000" assert kernel_cache.dictionary()["fixups"]["0x18018"] == "kc(0) + 0x20000" assert len(kernel_cache.dictionary()["dylibs"]) == 3 assert kernel_cache.dictionary()["dylibs"][0]["name"] == "com.apple.kernel" assert kernel_cache.dictionary()["dylibs"][0]["fixups"] == "none" assert kernel_cache.dictionary()["dylibs"][1]["name"] == "com.apple.bar" assert kernel_cache.dictionary()["dylibs"][1]["fixups"] == "none" assert kernel_cache.dictionary()["dylibs"][2]["name"] == "com.apple.foo" assert kernel_cache.dictionary()["dylibs"][2]["fixups"] == "none" # [~]> xcrun -sdk iphoneos.internal cc -arch arm64 -Wl,-static -mkernel -nostdlib -Wl,-add_split_seg_info -Wl,-rename_section,__TEXT,__text,__TEXT_EXEC,__text -Wl,-e,__start -Wl,-pagezero_size,0x0 -Wl,-pie -Wl,-sectcreate,__LINKINFO,__symbolsets,SymbolSets.plist -Wl,-segprot,__LINKINFO,r--,r-- main.c -o main.kernel # [~]> xcrun -sdk iphoneos.internal cc -arch arm64 -Wl,-kext -mkernel -nostdlib -Wl,-add_split_seg_info foo.c -o extensions/foo.kext/foo # [~]> xcrun -sdk iphoneos.internal cc -arch arm64 -Wl,-kext -mkernel -nostdlib -Wl,-add_split_seg_info bar.c -o extensions/bar.kext/bar -Wl,-fixup_chains # [~]> rm -r extensions/*.kext/*.ld

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35f622ff3fa5187c3265b7d1252636eaf5af175d

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py

Python

tests/test_camera.py

Gokender/kameramera

7ebd9a196809c1e7ab117bb11b90bcea8d1eb8e7

[ "MIT" ]

null

tests/test_camera.py

Gokender/kameramera

7ebd9a196809c1e7ab117bb11b90bcea8d1eb8e7

[ "MIT" ]

null

tests/test_camera.py

Gokender/kameramera

7ebd9a196809c1e7ab117bb11b90bcea8d1eb8e7

[ "MIT" ]

null

import unittest from kameramera import camera class Camera(unittest.TestCase): def setUp(self): self.camera = camera.Camera(camera_id='canon_ae1') def test_general_manufacturer(self): self.assertEqual(self.camera.general.manufacturer, 'Canon') def test_general_name(self): self.assertEqual(self.camera.general.name, 'Canon AE-1') def test_general_type(self): self.assertEqual(self.camera.general.type, 'SLR') def test_general_format(self): self.assertEqual(self.camera.general.format, '24x35') def test_general_made_in(self): self.assertEqual(self.camera.general.made_in, 'Japan') def test_general_date(self): self.assertEqual(self.camera.general.date, '1976-1984') def test_general_body_construction(self): self.assertEqual(self.camera.general.body_construction, 'metal') def test_general_mount_threads(self): self.assertEqual(self.camera.general.mount_threads, '1/4"') def test_general_dimension(self): self.assertEqual(self.camera.general.dimension, '141x87x47.5 mm') def test_general_weight(self): self.assertEqual(self.camera.general.weight, '620g') def test_optics_lenses(self): self.assertEqual(self.camera.optics.lenses, 'interchangeable') def test_optics_lenses_mount(self): self.assertEqual(self.camera.optics.lenses_mount, 'Canon FD') def test_sighting_type(self): self.assertEqual(self.camera.sighting.type, 'fixed eye-level pentaprism') def test_sighting_display(self): self.assertEqual(self.camera.sighting.display, False) def test_sighting_viewfinder_rangefinder(self): self.assertEqual(self.camera.sighting.viewfinder.rangefinder, ['split_image', 'microprism']) def test_sighting_viewfinder_aperture(self): self.assertEqual(self.camera.sighting.viewfinder.aperture, True) def test_sighting_viewfinder_exposure_indicator(self): self.assertEqual(self.camera.sighting.viewfinder.exposure_indicator, True) def test_sighting_viewfinder_flash_indicator(self): self.assertEqual(self.camera.sighting.viewfinder.flash_indicator, True) def test_focus_manual(self): self.assertEqual(self.camera.focus.manual, True) def test_focus_autofocus(self): self.assertEqual(self.camera.focus.autofocus, False) def test_focus_stabilization(self): self.assertEqual(self.camera.focus.stabilization, False) def test_focus_depth_of_field(self): self.assertEqual(self.camera.focus.depth_of_field, True) def test_shutter_type(self): self.assertEqual(self.camera.shutter.type, None) def test_shutter_shutter_speeds(self): self.assertEqual(self.camera.shutter.shutter_speeds, [ '2', '1', '1/2', '1/4', '1/8', '1/15', '1/30', '1/60', '1/125', '1/250', '1/500', '1/1000' ]) def test_shutter_pose(self): self.assertEqual(self.camera.shutter.pose, 'B') def test_shutter_self_timer(self): self.assertEqual(self.camera.shutter.self_timer, 10) def test_exposure_mode(self): self.assertEqual(self.camera.exposure.mode, ['M','S']) def test_exposure_correction(self): self.assertEqual(self.camera.exposure.correction, 1.5) def test_exposure_measure_type(self): self.assertEqual(self.camera.exposure.measure.type, 'TTL') def test_exposure_measure_light_sensor(self): self.assertEqual(self.camera.exposure.measure.light_sensor, 'silicon photon cell') def test_exposure_measure_metering_mode(self): self.assertEqual(self.camera.exposure.measure.metering_mode, 'center-weighted average metering') def test_exposure_measure_memory(self): self.assertEqual(self.camera.exposure.measure.memory, True) def test_film_format(self): self.assertEqual(self.camera.film.format, 135) def test_film_advance(self): self.assertEqual(self.camera.film.advance, 'manual') def test_film_frame_counter(self): self.assertEqual(self.camera.film.frame_counter, True) def test_film_film_speed(self): self.assertEqual(self.camera.film.film_speed, [ 25, 32, 40, 50, 64, 80, 100, 125, 160, 200, 250, 320, 400, 500, 640, 800, 1000, 1250, 1600, 2000, 2500, 3200 ]) def test_flash_built_in(self): self.assertEqual(self.camera.flash.built_in, False) def test_flash_hot_shoe(self): self.assertEqual(self.camera.flash.hot_shoe, True) def test_flash_synchronization(self): self.assertEqual(self.camera.flash.synchronization, '1/60') def test_power_required(self): self.assertEqual(self.camera.power.required, True) def test_power_source_number(self): self.assertEqual(self.camera.power.source[0].number, 1) def test_power_source_voltage(self): self.assertEqual(self.camera.power.source[0].voltage, 6) def test_power_source_type(self): self.assertEqual(self.camera.power.source[0].type, [ 'alkaline-manganese', 'silver oxyde', 'lithium' ])

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82

0.637176

660

5,708

5.310606

0.215152

0.100428

0.233096

0.282168

0.49786

0.481312

0.180314

0.067047

0

0.033483

0.257008

5,708

180

83

31.711111

0.792973

0

0.022388

0

0.050972

0

0.320896

1

0.328358

false

0

0.014925

0

0.350746

0

null

0

1

0

null

0

1

0

3

c4009ade7b5eb056201eed0338579ec28e08eb56

226

py

Python

countdownhype/urls.py

chri4354/BeeMe_platform

b73843d9146c5ba54a63a8839980ee7c8024e80d

[ "CC-BY-4.0" ]

null

countdownhype/urls.py

chri4354/BeeMe_platform

b73843d9146c5ba54a63a8839980ee7c8024e80d

[ "CC-BY-4.0" ]

8

2020-06-06T01:55:55.000Z

2022-03-12T00:31:52.000Z

countdownhype/urls.py

chri4354/BeeMe_platform

b73843d9146c5ba54a63a8839980ee7c8024e80d

[ "CC-BY-4.0" ]

null

from django.urls import path, re_path from . import views urlpatterns = [ path('', views.index, name='index'), path('countdown/', views.countdown, name='countdown'), #re_path(r'.+', views.redir, name='redir'), ]

22.6

58

0.650442

29

226

5

0.448276

0.082759

0

0.159292

226

9

59

25.111111

0.763158

0.185841

0

0.131148

0

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false

0

0.333333

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0.333333

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0

null

0

1

0

null

0

1

0

3

c42e658ca9b791acfc8cc494fe87a5ee5b2f994f

1,006

py

Python

jubakit/test/__init__.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

12

2016-04-11T04:49:08.000Z

2019-02-08T01:43:46.000Z

jubakit/test/__init__.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

138

2016-04-11T05:57:48.000Z

2020-09-26T03:09:31.000Z

jubakit/test/__init__.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

10

2016-04-11T03:18:45.000Z

2018-04-14T10:11:15.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals __all__ = ['requireSklearn'] from jubakit.compat import PYTHON3 try: import embedded_jubatus embedded_available = True except ImportError: embedded_available = False try: import numpy import scipy import sklearn sklearn_available = True except ImportError: sklearn_available = False try: from unittest import skipUnless def requireSklearn(target): return skipUnless(sklearn_available, 'requires scikit-learn')(target) def requirePython3(target): return skipUnless(PYTHON3, 'requires Python 3.x')(target) def requireEmbedded(target): return skipUnless(embedded_available, 'requires embedded_jubatus')(target) except ImportError: def requireSklearn(target): return target if sklearn_available else None def requirePython3(target): return target if PYTHON3 else None def requireEmbedded(target): return target if embedded_available else None

26.473684

82

0.777336

116

1,006

6.560345

0.37931

0.094612

0.086728

0.078844

0

0.008226

0.154076

1,006

37

83

27.189189

0.886016

0.020875

0

0.4

0

0.080366

0

1

0.2

false

0

0.333333

0.2

0.733333

0.033333

0

null

0

null

0

1

0

3

c4311123dd5258af551865a612948896d2a1bbc9

2,132

py

Python

registration/email.py

openstack-kr/openinfradays-2018

9eb0e284ab95e177dc4acca17d63ccbdaff67fb1

[ "Apache-2.0" ]

null

registration/email.py

openstack-kr/openinfradays-2018

9eb0e284ab95e177dc4acca17d63ccbdaff67fb1

[ "Apache-2.0" ]

1

2018-06-17T02:21:41.000Z

registration/email.py

openstack-kr/openinfradays-2018

9eb0e284ab95e177dc4acca17d63ccbdaff67fb1

[ "Apache-2.0" ]

1

2018-05-31T11:39:02.000Z

from django.core.mail import EmailMessage from django.conf import settings def send_email(name, date, email): txt = """ <html> <body> <table cellpadding='0' cellspacing='0' width='100%' border='0'> <tbody> <tr> <td style='word-wrap:break-word;font-size:0px;padding:0px;padding-bottom:10px' align='left'> <div style='color:#000000;font-family:Spoqa Han Sans,sans-serif;font-size:20px;line-height:22px;letter-spacing:-0.8px;text-align:left'> 안녕하세요 <span style='color:#3832D8'>{0}</span> 님, </div> </td> </tr> <tr> <td style='word-wrap:break-word;font-size:0px;padding:0px;padding-bottom:10px' align='left'> <div style='color:#000000;font-family:Spoqa Han Sans,sans-serif;font-size:30px;line-height:1.3;letter-spacing:-1.1px; text-align:left'> OpenInfra Days Korea 2018 </div> </td> </tr> <tr> <td style='word-wrap:break-word;font-size:0px;padding:0px;padding-bottom:30px' align='left'> <div style='color:#000000;font-family:Spoqa Han Sans,sans-serif;font-size:20px;line-height:22px;letter-spacing:-0.8px;text-align:left'> 초청 티켓 등록이 완료되었습니다. </div> </td> </tr> <tr> <td style='word-wrap:break-word;font-size:0px;padding:0px;padding-bottom:30px' align='left'> <div style='color:#000000;font-family:Spoqa Han Sans,sans-serif;font-size:20px;line-height:22px;letter-spacing:-0.8px;text-align:left'> 참가 일자 : {1} </div> </td> </tr> <tr> <td style='word-wrap:break-word;font-size:0px;padding:0px' align='left'> <div style='color:#000000;font-family:Spoqa Han Sans,sans-serif;font-size:20px;line-height:22px;letter-spacing:-0.8px;text-align:left'> <a href="http://invite.openinfradays.kr">티켓 확인</a> </div> </td> </tr> </tbody> </table> </body> </html> """.format(name, date) email = EmailMessage(settings.EMAIL_TITLE, txt, to=(email,)) email.content_subtype = "html" return email.send()

38.071429

147

0.60272

298

2,132

4.302013

0.285235

0.062403

0.035101

0.050702

0.669267

0

0.05716

0.22045

2,132

55

148

38.763636

0.7142

0

0.54902

0

0.196078

0.874237

0.464101

0

1

0.019608

false

0

0.039216

0

0.078431

0

null

0

1

0

1

null

0

3

c44e49588a5ae8bdc21c7e3ab11388f043afd9f0

8,816

py

Python

codegen/codegen/fblas_routine.py

spcl/fblas

96425fbdbaeab6f43997d839836b8224a04f3b53

[ "BSD-3-Clause" ]

68

2019-02-07T21:30:21.000Z

2022-02-16T20:09:27.000Z

codegen/codegen/fblas_routine.py

spcl/fblas

96425fbdbaeab6f43997d839836b8224a04f3b53

[ "BSD-3-Clause" ]

2

2019-03-15T17:49:03.000Z

2019-07-24T14:05:35.000Z

codegen/codegen/fblas_routine.py

spcl/fblas

96425fbdbaeab6f43997d839836b8224a04f3b53

[ "BSD-3-Clause" ]

25

2019-03-15T03:00:15.000Z

2021-08-04T10:21:43.000Z

""" FBlas Routine class: it used to represent a routine definition, specified by the user using JSON file. It is used by the Host and Module Codegen (specified by the _codegen variable). Accordingly, some class members could be invalid. """ from codegen import fblas_types from codegen import generator_definitions class FBLASRoutine: # name of the routine according to blas (without indication of the precision) _blas_name = "" # user name for the routine _user_name = "" # spatial parallelism (vectorization width) _width = generator_definitions.DEFAULT_WIDTH # data type used in routine _type: fblas_types.RoutineType _type_str: str # if the routine has to use shift registers (e.g. double precision) or not # and in case how big they should be _uses_shift_registers = False _size_shift_registers = 0 # The type of codegen:Host/Modules _codegen = None # inx/incy _incx = 1 _incy = 1 # Level 2/3: tile sizes _tile_n_size = generator_definitions.DEFAULT_TILE_SIZE _tile_m_size = generator_definitions.DEFAULT_TILE_SIZE # Matrix characteristics _order = None _diag = None _transposeA = None _transposeB = None _side = None _uplo = None # input/output channels (useful for Module Codegen) # these are instance member dictionaries "required_channel_name" -> "user_name" _input_channels = None _output_channels = None # Tiles and element order (for level2/3 that works with matrices) # The order is RowMajor if tiles/element are row streamed # otherwise it is ColumnMajor _tiles_A_order: fblas_types.FblasOrder = fblas_types.FblasOrder.FblasRowMajor _elements_A_order: fblas_types.FblasOrder = fblas_types.FblasOrder.FblasRowMajor # Indicates whether or not this routines has a 2D computatioal tile (e.g. GEMM) _has_2D_computational_tile = False # If yes, there are the two vectorization width _width_x = 0 _width_y = 0 _tile_size = 0 _systolic = False _vect_size = 0 def __init__(self, blas_name: str, user_name: str, type: fblas_types.RoutineType, platform: fblas_types.Platform, codegen: fblas_types.FblasCodegen): self._blas_name = blas_name self._user_name = user_name self._type = type self._type_str = fblas_types.ROUTINE_TYPE_TO_TYPE_STR[type] self._platform = platform self._codegen = codegen self._width = generator_definitions.DEFAULT_WIDTH # Declare all the instance variables self._input_channels = {} self._output_channels = {} self._incx = 1 self._incy = 1 self._tile_n_size = generator_definitions.DEFAULT_TILE_SIZE self._tile_m_size = generator_definitions.DEFAULT_TILE_SIZE self._order = fblas_types.FblasOrder.FblasOrderUndef self._diag = fblas_types.FblasDiag.FblasDiagUndef self._transposeA = fblas_types.FblasTranspose.FblasTransUndef self._transposeB = fblas_types.FblasTranspose.FblasTransUndef self._side = fblas_types.FblasSide.FblasSideUndef self._uplo = fblas_types.FblasUpLo.FblasUpLoUndef if type == fblas_types.RoutineType.Double: self._uses_shift_registers = True self._size_shift_registers = fblas_types.SHIFT_REGISTER_SIZES[(type, platform)] else: self._uses_shift_registers = False self._has_2D_computational_tile = False self._width_x = self._width = generator_definitions.DEFAULT_2D_CTILE_WIDTH self._width_y = self._width = generator_definitions.DEFAULT_2D_CTILE_WIDTH self._tile_size = generator_definitions.DEFAULT_TILE_SIZE self._systolic = False self._vect_size = 4 def __str__(self): return """Routine {} implements {} with type {} Width: {} Incx: {} Incy: {}""".format(self._user_name, self._blas_name, self._type, self._width, self._incx, self._incy) #Getter/setter @property def blas_name(self): return self._blas_name @property def user_name(self): return self._user_name @property def type(self): return self._type @property def type_str(self): return self._type_str @property def uses_shift_registers(self): return self._uses_shift_registers @uses_shift_registers.setter def uses_shift_registers(self, value: bool): #if the routine uses shift register, set the size self._uses_shift_registers = value if value: self._size_shift_registers = fblas_types.SHIFT_REGISTER_SIZES[(self.type, self._platform)] @property def size_shift_registers(self): return self._size_shift_registers @property def width(self): return self._width @width.setter def width(self, width: int): self._width = width @property def incx(self): return self._incx @incx.setter def incx(self, incx: int): self._incx = incx @property def incy(self): return self._incy @incy.setter def incy(self, incy: int): self._incy = incy @property def tile_n_size(self): return self._tile_n_size @tile_n_size.setter def tile_n_size(self, tile_size: int): self._tile_n_size = tile_size @property def tile_m_size(self): return self._tile_m_size @tile_m_size.setter def tile_m_size(self, tile_size: int): self._tile_m_size = tile_size @property def tile_size(self): return self._tile_size @tile_size.setter def tile_size(self, tile_size: int): self._tile_size = tile_size @property def order(self): return self._order @order.setter def order(self, order: fblas_types.FblasOrder): self._order = order @property def uplo(self): return self._uplo @uplo.setter def uplo(self, uplo: fblas_types.FblasUpLo): self._uplo = uplo @property def transposedA(self): return self._transposeA @transposedA.setter def transposedA(self, trans: fblas_types.FblasTranspose): self._transposeA = trans @property def transposedB(self): return self._transposeB @transposedB.setter def transposedB(self, trans: fblas_types.FblasTranspose): self._transposeB = trans @property def input_channels(self): return self._input_channels @property def output_channels(self): return self._output_channels @property def tiles_A_order(self): return self._tiles_A_order @tiles_A_order.setter def tiles_A_order(self, order: fblas_types.FblasOrder): self._tiles_A_order = order @property def elements_A_order(self): return self._elements_A_order @elements_A_order.setter def elements_A_order(self, order : fblas_types.FblasOrder): self._elements_A_order = order @property def has_2D_computational_tile(self): return self._has_2D_computational_tile @has_2D_computational_tile.setter def has_2D_computational_tile(self, value: bool): self._has_2D_computational_tile = value @property def width_x(self): return self._width_x @width_x.setter def width_x(self, width: int): self._width_x = width @property def width_y(self): return self._width_y @width_y.setter def width_y(self, width: int): self._width_y = width @property def systolic(self): return self._systolic @systolic.setter def systolic(self, value: bool): self._systolic = value @property def vect_size(self): return self._vect_size @vect_size.setter def vect_size(self, value: int): self._vect_size = value def are_tiles_A_rowstreamed(self): """ :return: True if the tiles of A are rowstreamed """ return self._tiles_A_order == fblas_types.FblasOrder.FblasRowMajor def are_elements_A_rowstreamed(self): """ :return: True if the elements of A are rowstreamed """ return self._elements_A_order == fblas_types.FblasOrder.FblasRowMajor def add_input_channel(self, routine_channel_name, user_name): ''' Add the channel to the dictionary of input channels If already present, it will be overwritten ''' self._input_channels[routine_channel_name] = user_name def add_output_channel(self, routine_channel_name, user_name): ''' Add the channel to the dictionary of input channels If already present, it will be overwritten ''' self._output_channels[routine_channel_name] = user_name

27.810726

153

0.678993

1,119

8,816

5.014298

0.15639

0.049902

0.062377

0.035644

0.401889

0.260916

0.20139

0.145072

0.099804

0.042417

0

0.003627

0.249433

8,816

316

154

27.898734

0.84434

0.156874

0

0.122549

0

0.010022

0

1

0.240196

false

0

0.009804

0.127451

0.529412

0

null

0

null

0

1

0

1

0

3

c45c12b0519ee7503fa9f8fb44c7b896a2082873

210

py

Python

tools/opt.py

hmtrii/tirg

e404020795bb46fb01b6bd82a2618f9370174012

[ "Apache-2.0" ]

null

tools/opt.py

hmtrii/tirg

e404020795bb46fb01b6bd82a2618f9370174012

[ "Apache-2.0" ]

null

tools/opt.py

hmtrii/tirg

e404020795bb46fb01b6bd82a2618f9370174012

[ "Apache-2.0" ]

null

class Opt: def __init__(self): self.dataset = "fashion200k" self.dataset_path = "./dataset/Fashion200k" self.batch_size = 32 self.embed_dim = 512 self.hashing = False self.retrieve_by_random = True

26.25

45

0.728571

29

210

4.965517

0.689655

0.152778

0.305556

0

0.0625

0.161905

210

8

46

26.25

0.755682

0

0.151659

0.099526

0

1

0.125

false

0

0.25

0

1

0

null

0

1

0

1

0

null

0

3

c489f0bb6aee13c77e0b4caf8c6ecbaa282336f5

539

py

Python

services/neural/traindatabase.py

vitorecomp/hackaton-deep-learn

962eac133ac92d56d8a55136773c2afe4da2e0b5

[ "MIT" ]

null

services/neural/traindatabase.py

vitorecomp/hackaton-deep-learn

962eac133ac92d56d8a55136773c2afe4da2e0b5

[ "MIT" ]

null

services/neural/traindatabase.py

vitorecomp/hackaton-deep-learn

962eac133ac92d56d8a55136773c2afe4da2e0b5

[ "MIT" ]

null

from os import walk import h5py import numpy as np from config.Database import Base from config.Database import engine from config.Database import Session from models.Music import Music from kmeans.kmeans import Kmeans mypath = './dataset/datatr/' def main(): files = [] # 2 - generate database schema Base.metadata.create_all(engine) # 3 - create a new session session = Session() musics = session.query(Music).all() musics, distances = Kmeans.split(musics) session.commit() return if __name__ == "__main__": main()

15.852941

41

0.736549

74

539

5.243243

0.527027

0.07732

0.139175

0.185567

0

0.006696

0.168831

539

33

42

16.333333

0.859375

0.09833

0

0.05176

0

1

0.052632

false

0

0.421053

0

0.526316

0

null

0

1

0

null

0

1

0

1

0

3

67161d52650aa2e5bc2f66de7b2914c066936052

362

py

Python

after/config.py

mauvilsa/2021-config

870fd832bda269a1be7bfba32dd327df9987e74a

[ "MIT" ]

5

2021-12-25T15:16:16.000Z

2022-03-19T09:04:39.000Z

after/config.py

ArjanCodes/2021-config

7c2c3babb0fb66d69eac81590356fae512c5e784

[ "MIT" ]

1

2022-01-14T08:02:13.000Z

after/config.py

mauvilsa/2021-config

870fd832bda269a1be7bfba32dd327df9987e74a

[ "MIT" ]

1

2022-01-14T06:32:44.000Z

from dataclasses import dataclass @dataclass class Paths: log: str data: str @dataclass class Files: train_data: str train_labels: str test_data: str test_labels: str @dataclass class Params: epoch_count: int lr: float batch_size: int @dataclass class MNISTConfig: paths: Paths files: Files params: Params

12.066667

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0.679558

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0.478261

0.233333

0.141667

0

0.265193

362

29

34

12.482759

0.902256

0

0.190476

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1

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true

0

0.047619

0

0.809524

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null

1

0

null

0

1

0

1

0

3

671b9c9f7b2c7728391666847cc8f06a6c3abea1

468

py

Python

Bunnies.py

fatih-iver/Intro-to-Computer-Science-with-Python

7b8127681415dfd100a0e70fe8a672cec696bbb7

[ "MIT" ]

null

Bunnies.py

fatih-iver/Intro-to-Computer-Science-with-Python

7b8127681415dfd100a0e70fe8a672cec696bbb7

[ "MIT" ]

null

Bunnies.py

fatih-iver/Intro-to-Computer-Science-with-Python

7b8127681415dfd100a0e70fe8a672cec696bbb7

[ "MIT" ]

null

# Define a procedure, fibonacci, that takes a natural number as its input, and # returns the value of that fibonacci number. # Two Base Cases: # fibonacci(0) => 0 # fibonacci(1) => 1 # Recursive Case: # n > 1 : fibonacci(n) => fibonacci(n-1) + fibonacci(n-2) def fibonacci(n): return n if n == 0 or n == 1 else fibonacci(n-1) + fibonacci(n-2) print (fibonacci(0)) #>>> 0 print (fibonacci(1)) #>>> 1 print (fibonacci(15)) #>>> 610

24.631579

79

0.604701

71

468

3.985915

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0.116608

0.127208

0.155477

0

0.056338

0.241453

468

19

80

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1

0

null

0

1

0

1

0

3

672b4006ae24930b53edb66efd8fb73b92773911

3,754

py

Python

sa/profiles/ElectronR/KO01M/get_metrics.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

84

2017-10-22T11:01:39.000Z

2022-02-27T03:43:48.000Z

sa/profiles/ElectronR/KO01M/get_metrics.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

22

2017-12-11T07:21:56.000Z

2021-09-23T02:53:50.000Z

sa/profiles/ElectronR/KO01M/get_metrics.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

23

2017-12-06T06:59:52.000Z

2022-02-24T00:02:25.000Z

# --------------------------------------------------------------------- # ElectronR.KO01M.get_metrics # --------------------------------------------------------------------- # Copyright (C) 2007-2020 The NOC Project # See LICENSE for details # --------------------------------------------------------------------- # NOC modules from noc.sa.profiles.Generic.get_metrics import Script as GetMetricsScript, metrics class Script(GetMetricsScript): name = "ElectronR.KO01M.get_metrics" @metrics(["Environment | Sensor Status"], volatile=False, access="S") # SNMP version def get_sensor_status(self, metrics): for metric in metrics: value = 1 if metric.ifindex == 100: continue elif metric.ifindex == 140: temp = self.snmp.get("1.3.6.1.4.1.35419.20.1.140.0", cached=True) if -55 < temp < 600: value = 0 elif metric.ifindex == 160: impulse = self.snmp.get("1.3.6.1.4.1.35419.20.1.160.0", cached=True) if impulse != 0: value = 0 else: res = self.snmp.get("1.3.6.1.4.1.35419.20.1.10%s.0" % metric.ifindex) if res == 1: value = 0 port = metric.labels[0].rsplit("::", 1)[-1] self.set_metric( id=("Environment | Sensor Status", metric.labels), labels=[f"noc::sensor::{port}"], value=value, ) @metrics(["Environment | Temperature"], volatile=False, access="S") # SNMP version def get_temperature(self, metrics): for metric in metrics: if metric.ifindex == 140: value = self.snmp.get("1.3.6.1.4.1.35419.20.1.%s.0" % metric.ifindex, cached=True) port = metric.labels[0].rsplit("::", 1)[-1] self.set_metric( id=("Environment | Temperature", metric.labels), labels=[f"noc::module::{port}", f"noc::sensor::{port}"], value=value, multi=True, ) @metrics(["Environment | Voltage"], volatile=False, access="S") # SNMP version def get_voltage(self, metrics): for metric in metrics: value = self.snmp.get("1.3.6.1.4.1.35419.20.1.%s.0" % metric.ifindex) port = metric.labels[0].rsplit("::", 1)[-1] self.set_metric( id=("Environment | Voltage", metric.labels), labels=[f"noc::module::{port}", f"noc::sensor::{port}"], value=value, multi=True, ) @metrics(["Environment | Pulse"], volatile=False, access="S") # SNMP version def get_pulse(self, metrics): for metric in metrics: if metric.ifindex == 160: value = self.snmp.get("1.3.6.1.4.1.35419.20.1.%s.0" % metric.ifindex, cached=True) port = metric.labels[0].rsplit("::", 1)[-1] self.set_metric( id=("Environment | Pulse", metric.labels), labels=[f"noc::sensor::{port}"], value=value, ) @metrics(["Environment | Power | Input | Status"], volatile=False, access="S") # SNMP version def get_power_input_status(self, metrics): for metric in metrics: value = self.snmp.get("1.3.6.1.4.1.35419.20.1.10%s.0" % metric.ifindex, cached=True) port = metric.labels[0].rsplit("::", 1)[-1] self.set_metric( id=("Environment | Power | Input | Status", metric.labels), labels=[f"noc::sensor::{port}"], value=0 if value == 1 else 1, )

43.149425

98

0.485615

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3,754

4.202326

0.176744

0.071942

0.042612

0.046486

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0.623132

0.499723

0

0.066615

0.316196

3,754

86

99

43.651163

0.63732

0.100693

0

0.43662

0

0.098592

0.186143

0.066012

0

1

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false

0

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0

0.112676

0

null

0

1

0

null

0

3

67366bf1792d0f436d2ce6181f326bfb3e3aea15

4,035

py

Python

ubirch/linux/bleManager.py

ubirch/ubirch-ble-tool

1399d018957e9a8424071296a71431c8ffa27e6f

[ "Apache-2.0" ]

4

2018-07-20T16:35:52.000Z

2020-11-12T13:38:58.000Z

ubirch/linux/bleManager.py

ubirch/ubirch-ble-tool

1399d018957e9a8424071296a71431c8ffa27e6f

[ "Apache-2.0" ]

1

2021-04-03T13:37:40.000Z

ubirch/linux/bleManager.py

ubirch/ubirch-ble-tool

1399d018957e9a8424071296a71431c8ffa27e6f

[ "Apache-2.0" ]

null

from bleSuite import bleConnectionManager, bleServiceManager from bluepy.btle import Scanner from ubirch.linux.bleServiceManager import BLEServiceManager class BLEManager(object): """ BLE network manager """ def __init__(self, address, adapter, addressType, securityLevel, createRequester, psm=0, mtu=0): """ Create an instance of BLE Manager """ self.address = address self.cm = bleConnectionManager.BLEConnectionManager(address, adapter, addressType, securityLevel) self.sm = BLEServiceManager(self.cm, self.address) def connectDevice(self): """ conect tot he BLE device take manager object or mac address as a input variable """ self.cm.connect() def disconnectDevice(self): self.cm.disconnect() def discoverDevice(self, name, timeout=5): sm = BLEScanDevices() deviceList = sm.scan(timeout) for device in deviceList: for values in device.getScanData(): if values[2].rstrip('\x00') == name: return str(device.addr) raise Exception("NO DEVICE FOUND") def discoverServices(self): return bleServiceManager.bleServiceDiscovery(self.address, self.cm) def discoverCharacteristics(self): ignoreUUID = ["00001800-0000-1000-8000-00805f9b34fb", "00001801-0000-1000-8000-00805f9b34fb"] devServices = self.discoverServices() devCharList = [] for service in devServices.services: if not (service.uuid in ignoreUUID): for characteristics in service.characteristics: devCharList.append(characteristics.uuid) return devCharList raise Exception("No Services Found") def write(self, handle, data): bleServiceManager.bleServiceWriteToHandle(self.cm, handle, data) def read(self, handle): # TODO add a function getHandlebyUUID toget handle using uuid # helps to read data on both mac n linux with ease return bleServiceManager.bleServiceReadByHandle(self.cm, handle) def isConnected(self): return self.cm.isConnected() # Services and Characteristics def bleServiceWriteToHandle(self, handle, data): return bleServiceManager.bleServiceWriteToHandle(self.cm, handle, data) def bleServiceReadByHandle(self, handle): return bleServiceManager.bleServiceReadByHandle(self.cm, handle) def bleServiceReadByUUID(self, uuid): return bleServiceManager.bleServiceReadByUUID(self.cm, uuid) def bleDiscoverServices(self): return bleServiceManager.bleServiceDiscovery(self.address, self.cm) def showServices(self): bledevice = bleServiceManager.bleServiceDiscovery(self.address, self.cm) bledevice.printDeviceStructure() def bleGetHandlefromUUID(self, uuid): bledevice = bleServiceManager.bleServiceDiscovery(self.address, self.cm) for service in bledevice.services: # print service.uuid for characteristic in service.characteristics: # print characteristic.uuid if uuid == characteristic.uuid: return characteristic.valueHandle return -1 def bleServiceWriteByUUID(self, uuid, data): handle = self.bleGetHandlefromUUID(uuid) return self.bleServiceWriteToHandle(handle, data) class BLEScanDevices(object): def __init__(self): self.sm = Scanner() def scan(self, timeOut=10): return self.sm.scan(timeOut) def stopScan(self): pass def isScanning(self): pass def getDeviceAddress(self, deviceName, timeOut=10): """return a tuple containing DeviceName and DeiceAddress""" deviceList = self.scan(timeOut) for device in deviceList: for values in device.getScanData(): if values[2].rstrip('\x00') == deviceName: return str(device.addr) raise Exception("NO DEVICE FOUND")

34.487179

105

0.666419

399

4,035

6.719298

0.323308

0.031332

0.024245

0.070123

0.276762

0.141738

0.058187

0

0.023125

0.249814

4,035

116

106

34.784483

0.86257

0.092441

0

0.213333

0

0.035151

0.019928

0

0.008621

0

1

0.28

false

0.026667

0.04

0.106667

0.533333

0.013333

0

null

0

null

0

1

0

1

0

3

6738c6913f593e8f3489b3d849753c160556f231

480

py

Python

storagetest/pkgs/pts/__init__.py

liufeng-elva/storage-test2

5364cc00dbe71b106f1bb740bf391e6124788bf4

[ "MIT" ]

null

storagetest/pkgs/pts/__init__.py

liufeng-elva/storage-test2

5364cc00dbe71b106f1bb740bf391e6124788bf4

[ "MIT" ]

null

storagetest/pkgs/pts/__init__.py

liufeng-elva/storage-test2

5364cc00dbe71b106f1bb740bf391e6124788bf4

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: UTF-8 -*- """ @file : __init__.py.py @Time : 2020/11/12 13:37 @Author: Tao.Xu @Email : tao.xu2008@outlook.com """ """ phoronix-test-suite: Main for Performance Test =================== https://github.com/phoronix-test-suite/phoronix-test-suite The Phoronix Test Suite is the most comprehensive testing and benchmarking platform available for Linux, Solaris, macOS, Windows, and BSD operating systems. """ if __name__ == '__main__': pass

22.857143

68

0.683333

66

480

4.787879

0.742424

0.151899

0.21519

0.126582

0

0.041162

0.139583

480

20

69

24

0.723971

0.283333

0

0.190476

0

1

0

true

0.5

0

null

0

1

0

null

0

1

0

3

673ab82d9ec7dbd59a48086985188478a17a2fc5

756

py

Python

contrib/analysis_server/src/analysis_server/__init__.py

Kenneth-T-Moore/OpenMDAO-Framework

76e0ebbd6f424a03b547ff7b6039dea73d8d44dc

[ "Apache-2.0" ]

3

2015-06-02T00:36:28.000Z

2018-11-03T00:35:21.000Z

contrib/analysis_server/src/analysis_server/__init__.py

JustinSGray/OpenMDAO-Framework

7ebd7fda0b10fbe8a86ae938dc4f135396dd9759

[ "Apache-2.0" ]

null

contrib/analysis_server/src/analysis_server/__init__.py

JustinSGray/OpenMDAO-Framework

7ebd7fda0b10fbe8a86ae938dc4f135396dd9759

[ "Apache-2.0" ]

1

2020-07-15T02:45:54.000Z

""" Support for interacting with ModelCenter via the AnalysisServer protocol. Client-mode access to an AnalysisServer is provided by the 'client', 'factory', and 'proxy' modules. Server-mode access by ModelCenter is provided by the 'server' and 'wrapper' modules. An extension to the protocol allows 'eggs' to pe 'published': the egg is sent to the server and made part of the server's set of supported components. """ from __future__ import absolute_import from .client import Client from .factory import ASFactory from .server import Server, start_server, stop_server, DEFAULT_PORT from .stream import Stream from .units import have_translation, get_translation, set_translation from .publish import publish_class, publish_object, publish_egg

36

79

0.797619

110

756

5.354545

0.490909

0.04584

0.040747

0.050934

0

0.145503

756

20

80

37.8

0.911765

0.544974

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

67ecb4f05375d9a4dfbfec0d8b5a28b3678e0e4e

172

py

Python

docs/examples/timer.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

3,425

2016-11-10T17:12:42.000Z

2022-03-31T19:07:49.000Z

docs/examples/timer.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

371

2020-03-04T21:51:56.000Z

2022-03-31T20:59:11.000Z

docs/examples/timer.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

420

2016-11-17T05:46:42.000Z

2022-03-23T12:36:06.000Z

from nameko.timer import timer class Service: name ="service" @timer(interval=1) def ping(self): # method executed every second print("pong")

17.2

38

0.627907

21

172

5.142857

0.857143

0

0.008

0.273256

172

9

39

19.111111

0.856

0.162791

0

0.077465

0

1

0.166667

false

0

0.166667

0

0.666667

0.166667

1

0

null

0

1

0

null

0

1

0

3

67f86eeb953024e2463d4d73c584b0e83d0b4555

12,761

py

Python

wykop/api/client.py

selfisekai/wykop-sdk-reborn

7f17c5b2a3d282b5aaf72475a0f58ba66d5c5c5d

[ "MIT" ]

null

wykop/api/client.py

selfisekai/wykop-sdk-reborn

7f17c5b2a3d282b5aaf72475a0f58ba66d5c5c5d

[ "MIT" ]

null

wykop/api/client.py

selfisekai/wykop-sdk-reborn

7f17c5b2a3d282b5aaf72475a0f58ba66d5c5c5d

[ "MIT" ]

null

import logging from typing import Dict, List from wykop.api.api_const import PAGE_NAMED_ARG, BODY_NAMED_ARG, FILE_POST_NAME from wykop.core.credentials import Credentials from wykop.core.requestor import Requestor log = logging.getLogger(__name__) class WykopAPI: """Wykop API version 2.""" def __init__(self, appkey, secretkey, account_key=None, output='', response_format='json'): self.requestor = Requestor( credentials=Credentials(appkey, secretkey, account_key), output=output, response_format=response_format ) def request(self, rtype, rmethod=None, named_params=None, api_params=None, post_params=None, file_params=None): return self.requestor.request(rtype, rmethod=rmethod, named_params=named_params, api_params=api_params, post_params=post_params, file_params=file_params) def authenticate(self, account_key=None): self.requestor.authenticate(account_key) # entries def entries_stream(self, page=1, first_id=None): named_params = self \ .__with_page(page) \ .update(dict(firstId=first_id)) return self.request('Entries', 'Stream', named_params=named_params) def entries_hot(self, page=1, period=12): assert period in [6, 12, 24] named_params = self \ .__with_page(page) \ .update(dict(period=period)) return self.request('Entries', 'Hot', named_params=named_params) def entries_active(self, page=1): return self.request('Entries', 'Active', named_params=self.__with_page(page)) def entries_observed(self, page=1): return self.request('Entries', 'Observed', named_params=self.__with_page(page)) def entry(self, entry_id): return self.request('Entries', 'Entry', api_params=self.__api_param(entry_id)) def entry_add(self, body: str, file=None, file_url: str = None, is_adult_media: bool = False): return self.request('Entries', 'Add', post_params=self.content_post_params(body, file_url, is_adult_media), file_params=self.__with_file(file)) def entry_edit(self, entry_id: str, body: str, file=None, file_url: str = None, is_adult_media: bool = False): return self.request('Entries', 'Edit', post_params=self.content_post_params(body, file_url, is_adult_media), api_params=self.__api_param(entry_id), file_params=self.__with_file(file)) def entry_vote_up(self, entry_id: str): return self.request('Entries', 'VoteUp', api_params=self.__api_param(entry_id)) def entry_vote_remove(self, entry_id: str): return self.request('Entries', 'VoteRemove', api_params=self.__api_param(entry_id)) def entry_upvoters(self, entry_id: str): return self.request('Entries', 'Upvoters', api_params=self.__api_param(entry_id)) def entry_delete(self, entry_id: str): return self.request('Entries', 'Delete', api_params=self.__api_param(entry_id)) def entry_favorite_toggle(self, entry_id: str): return self.request('Entries', 'Favorite', api_params=self.__api_param(entry_id)) def entry_survey_vote(self, entry_id: str, answer_id: str): return self.request('Entries', 'SurveyVote', api_params=[entry_id, answer_id]) # comments def entry_comment(self, comment_id: str): return self.request('Entries', 'Comment', api_params=self.__api_param(comment_id)) def entry_comment_add(self, entry_id: str, body: str, file=None, file_url: str = None, is_adult_media: bool = False): return self.request('Entries', 'CommentAdd', post_params=self.content_post_params(body, file_url, is_adult_media), api_params=self.__api_param(entry_id), file_params=self.__with_file(file)) def entry_comment_edit(self, comment_id: str, body: str, file=None, file_url: str = None, is_adult_media: bool = False): return self.request('Entries', 'CommentEdit', post_params=self.content_post_params(body, file_url, is_adult_media), api_params=self.__api_param(comment_id), file_params=self.__with_file(file)) def entry_comment_delete(self, comment_id: str): return self.request('Entries', 'CommentDelete', api_params=self.__api_param(comment_id)) def entry_comment_vote_up(self, comment_id: str): return self.request('Entries', 'CommentVoteUp', api_params=self.__api_param(comment_id)) def entry_comment_vote_remote(self, comment_id: str): return self.request('Entries', 'CommentVoteRemove', api_params=self.__api_param(comment_id)) def entry_comment_observed(self, page: int = 1): return self.request('Entries', 'ObservedComments', named_params=self.__with_page(page)) def entry_comment_favorite_toggle(self, entry_id: str): return self.request('Entries', 'CommentFavorite', api_params=self.__api_param(entry_id)) # links def links_promoted(self, page=1): return self.request('links', 'promoted', named_params=self.__with_page(page)) # mywykop # profiles def observe_profile(self, username): named_params = { 'observe': username, } return self.request('profiles', named_params=named_params) def unobserve_profile(self, username): named_params = { 'unobserve': username, } return self.request('profiles', named_params=named_params) def block_profile(self, username): named_params = { 'block': username, } return self.request('profiles', named_params=named_params) def unblock_profile(self, username): named_params = { 'unblock': username, } return self.request('profiles', named_params=named_params) # hits def hits_popular(self): return self.request('hits', 'popular') # pm def conversations_list(self): return self.request('pm', 'conversationsList') def conversation(self, receiver: str): return self.request('pm', 'Conversation', api_params=self.__api_param(receiver)) def send_message(self, receiver: str, message: str): return self.request('pm', 'SendMessage', post_params=self.__with_body(message), api_params=self.__api_param(receiver)) def delete_conversation(self, receiver: str): return self.request('pm', 'DeleteConversation', api_params=self.__api_param(receiver)) # notifications def notifications_direct(self, page=1): return self.request('notifications', named_params=self.__with_page(page)) def notifications_direct_count(self): return self.request('notifications', 'Count') def notifications_hashtags_notifications(self, page=1): return self.request('notifications', 'hashtags', named_params=self.__with_page(page)) def notifications_hashtags_count(self): return self.request('notifications', 'hashtagscount') def notifications_all(self, page=1): return self.request('notifications', 'total', named_params=self.__with_page(page)) def notifications_all_count(self): return self.request('notifications', 'totalcount') def notification_mark_all_as_read(self): return self.request('Notifications', 'ReadAllNotifications') def notifications_mark_all_direct_as_read(self): return self.request('Notifications', 'ReadDirectedNotifications') def notifications_mark_all_hashtag_as_read(self): return self.request('Notifications', 'ReadHashTagsNotifications') def notification_mark_as_read(self, notification_id): return self.request('Notifications', 'MarkAsRead', api_params=self.__api_param(notification_id)) # search def search_links(self, page=1, query=None, when=None, votes=None, from_date=None, to_date=None, what=None, sort=None): assert len(query) > 2 if query else True assert when in ["all", "today", "yesterday", "week", "month", "range"] if when else True assert what in ["all", "promoted", "archived", "duplicates"] if when else True assert sort in ["best", "diggs", "comments", "new"] if when else True post_params = { 'q': query, 'when': when, 'votes': votes, 'from': from_date, 'to': to_date, 'what': what, 'sort': sort } return self.request('Search', 'Links', post_params=post_params, named_params=self.__with_page(page)) def search_entries(self, page=1, query=None, when=None, votes=None, from_date=None, to_date=None): assert len(query) > 2 if query else True assert when in ["all", "today", "yesterday", "week", "month", "range"] if when else True post_params = { 'q': query, 'when': when, 'votes': votes, 'from': from_date, 'to': to_date } return self.request('Search', 'Entries', post_params=post_params, named_params=self.__with_page(page)) def search_profiles(self, query): assert len(query) > 2 if query else True post_params = { 'q': query, } return self.request('Search', 'Profiles', post_params=post_params) # tags def tag(self, tag, page=1): return self.request('Tags', 'Index', named_params=dict(page=page), api_params=self.__api_param(tag)) def tag_links(self, tag, page=1): return self.request('Tags', 'Links', named_params=self.__with_page(page), api_params=self.__api_param(tag)) def tag_entries(self, tag, page=1): return self.request('Tags', 'Entries', named_params=self.__with_page(page), api_params=self.__api_param(tag)) def observe_tag(self, tag): return self.request('Tags', 'Observe', api_params=self.__api_param(tag)) def unobserve_tag(self, tag): return self.request('Tags', 'Unobserve', api_params=self.__api_param(tag)) def enable_tags_notifications(self, tag): return self.request('Tags', 'Notify', api_params=self.__api_param(tag)) def disable_tags_notifications(self, tag): return self.request('Tags', 'Dontnotify', api_params=self.__api_param(tag)) def block_tag(self, tag): return self.request('Tags', 'Block', api_params=self.__api_param(tag)) def unblock_tag(self, tag): return self.request('Tags', 'Unblock', api_params=self.__api_param(tag)) @staticmethod def __api_param(param: str) -> List[str]: return [str(param)] @staticmethod def __with_page(page: int) -> Dict[str, int]: return {PAGE_NAMED_ARG: page} @staticmethod def __with_body(body: str) -> Dict[str, str]: return {BODY_NAMED_ARG: body} @staticmethod def __with_file(file: str) -> Dict[str, str]: return {FILE_POST_NAME: file} if file else None @staticmethod def content_post_params(body: str, file_url: str, is_adult_media: bool): post_params = { 'adultmedia': is_adult_media, 'body': body, 'embed': file_url } return post_params

37.754438

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0.587728

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12,761

4.963483

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0.061121

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0.43605

0.304471

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0.002825

0.306559

12,761

337

115

37.866469

0.795909

0.007445

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0.082444

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0.032

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false

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0.02

0.196

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0

null

0

null

0

1

0

1

0

3

db1c1956b75c3a0483a601da0add4f5327ce2ad0

364

py

Python

utils/image_utils.py

novicasarenac/car-racing-rl

5bb3b2c47fb6ceda3e8f2c149485652da5a079ba

[ "MIT" ]

10

2019-08-08T03:17:39.000Z

2021-12-15T08:43:29.000Z

utils/image_utils.py

novicasarenac/car-racing-rl

5bb3b2c47fb6ceda3e8f2c149485652da5a079ba

[ "MIT" ]

7

2019-11-29T04:00:22.000Z

2022-03-11T23:38:20.000Z

utils/image_utils.py

novicasarenac/car-racing-rl

5bb3b2c47fb6ceda3e8f2c149485652da5a079ba

[ "MIT" ]

4

2019-11-28T10:14:48.000Z

2020-04-08T08:10:37.000Z

import PIL import numpy as np def to_grayscale(img): return np.dot(img, [0.299, 0.587, 0.144]) def zero_center(img): return img - 127.0 def crop(img, bottom=12, left=6, right=6): height, width = img.shape return img[0: height - bottom, left: width - right] def save(img, path): pil_img = PIL.Image.fromarray(img) pil_img.save(path)

17.333333

55

0.653846

63

364

3.714286

0.492063

0.076923

0

0.072917

0.208791

364

20

56

18.2

0.739583

0

1

0.333333

false

0

0.166667

0.75

0

null

0

null

0

1

0

1

0

3

db299a97d65e80dbbfa712b50525b811276c7bff

4,424

py

Python

test/unit/vint/ast/plugin/scope_plugin/stub_node.py

mosheavni/vint

9078dd626415cfe37ddaf03032e714bbaca8b336

[ "MIT" ]

538

2015-01-03T18:54:53.000Z

2020-01-11T01:34:51.000Z

test/unit/vint/ast/plugin/scope_plugin/stub_node.py

mosheavni/vint

9078dd626415cfe37ddaf03032e714bbaca8b336

[ "MIT" ]

235

2015-01-01T06:20:01.000Z

2020-01-17T11:32:39.000Z

test/unit/vint/ast/plugin/scope_plugin/stub_node.py

mosheavni/vint

9078dd626415cfe37ddaf03032e714bbaca8b336

[ "MIT" ]

43

2015-01-23T16:59:49.000Z

2019-12-27T10:56:12.000Z

from vint.ast.node_type import NodeType from vint.ast.plugin.scope_plugin.identifier_attribute import ( IDENTIFIER_ATTRIBUTE, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG, IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT, ) def create_id(id_value, is_declarative=True, is_function=False, is_autoload=False, is_declarative_parameter=False, is_on_str_expr_context=False): return { 'type': NodeType.IDENTIFIER.value, 'value': id_value, IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: is_declarative, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: False, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: is_function, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: is_autoload, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: is_declarative_parameter, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: is_on_str_expr_context, }, } def create_env(env_value): return { 'type': NodeType.ENV.value, 'value': env_value, IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: True, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: False, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: False, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: False, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: False, }, } def create_option(opt_value): return { 'type': NodeType.OPTION.value, 'value': opt_value, IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: True, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: False, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: False, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: False, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: False, }, } def create_reg(reg_value): return { 'type': NodeType.REG.value, 'value': reg_value, IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: True, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: False, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: False, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: False, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: False, }, } def create_curlyname(is_declarative=True): """ Create a node as a `my_{'var'}` """ return { 'type': NodeType.CURLYNAME.value, 'value': [ { 'type': NodeType.CURLYNAMEPART.value, 'value': 'my_', }, { 'type': NodeType.CURLYNAMEEXPR.value, 'value': { 'type': NodeType.CURLYNAMEEXPR.value, 'value': 'var', }, } ], IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: is_declarative, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: True, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: False, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: False, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: False, }, } def create_subscript_member(is_declarative=True): return { 'type': NodeType.IDENTIFIER.value, 'value': 'member', IDENTIFIER_ATTRIBUTE: { IDENTIFIER_ATTRIBUTE_DECLARATION_FLAG: is_declarative, IDENTIFIER_ATTRIBUTE_DYNAMIC_FLAG: False, IDENTIFIER_ATTRIBUTE_MEMBER_FLAG: True, IDENTIFIER_ATTRIBUTE_FUNCTION_FLAG: False, IDENTIFIER_ATTRIBUTE_AUTOLOAD_FLAG: False, IDENTIFIER_ATTRIBUTE_FUNCTION_ARGUMENT_FLAG: False, IDENTIFIER_ATTRIBUTE_LAMBDA_STRING_CONTEXT: False, }, }

35.96748

82

0.667043

414

4,424

6.620773

0.111111

0.395111

0.173294

0.255381

0.726377

0.631521

0.603794

0.60197

0

0.268987

4,424

122

83

36.262295

0.847557

0.007007

0

0.481481

0

0.021228

0

1

0.055556

false

0

0.018519

0.046296

0.12963

0

null

1

0

1

0

1

0

null

0

3

db3364ee622377b95d22e40cf02ce787e7812d16

323

py

Python

Funcoes/ex106-sistemaInterativoAjuda.py

ascaniopy/python

6d8892b7b9ff803b7422a61e68a383ec6ac7d62d

[ "MIT" ]

null

Funcoes/ex106-sistemaInterativoAjuda.py

ascaniopy/python

6d8892b7b9ff803b7422a61e68a383ec6ac7d62d

[ "MIT" ]

null

Funcoes/ex106-sistemaInterativoAjuda.py

ascaniopy/python

6d8892b7b9ff803b7422a61e68a383ec6ac7d62d

[ "MIT" ]

null

from time import sleep c = ('\033[m', # 0 - Sem cores '\033[0;30;41m', # 1 - Vermelho '\033[0;30;42m', # 2 - Verde '\033[0;30;43m', # 3 - Amarelo '\033[0;30;44m', # 4 - Azul '\033[0;30;45m', # 5 - Roxo '\033[0;30m' # 6 - Branco ) #Programa principal

19

40

0.439628

47

323

3.021277

0.659574

0.169014

0.211268

0

0.273171

0.365325

323

16

41

20.1875

0.419512

0.294118

0

0.369863

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

1

0

1

0

null

0

3

e1e8ce55d278ecec5ff0a778a7af4a2bbb524f3a

1,274

py

Python

src/robotide/context/coreplugins.py

veryl-technologies/t24-tests-ide

16cd803895916a785c0e1fec3f71f9388c21edc9

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

1

2019-06-27T08:48:24.000Z

src/robotide/context/coreplugins.py

veryl-technologies/t24-tests-ide

16cd803895916a785c0e1fec3f71f9388c21edc9

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

null

src/robotide/context/coreplugins.py

veryl-technologies/t24-tests-ide

16cd803895916a785c0e1fec3f71f9388c21edc9

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

null

# Copyright 2008-2012 Nokia Siemens Networks Oyj # # 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. def get_core_plugins(): from robotide.run import RunAnything from robotide.recentfiles import RecentFilesPlugin from robotide.ui.preview import PreviewPlugin from robotide.ui.keywordsearch import KeywordSearch from robotide.editor import EditorPlugin from robotide.editor.texteditor import TextEditorPlugin from robotide.log import LogPlugin from robotide.searchtests.searchtests import TestSearchPlugin from robotide.spec.specimporter import SpecImporterPlugin return [RunAnything, RecentFilesPlugin, PreviewPlugin, SpecImporterPlugin, EditorPlugin, TextEditorPlugin, KeywordSearch, LogPlugin, TestSearchPlugin]

42.466667

87

0.78022

157

1,274

6.318471

0.592357

0.108871

0.02621

0.032258

0

0.011331

0.16876

1,274

29

88

43.931034

0.925401

0.452904

0

1

0.083333

true

0

0.833333

0

1

0

null

0

null

0

1

0

1

0

1

0

3

c01227c807be8c1f87a3e23c71237c6860b77b30

708

py

Python

src/util/utils.py

5agado/intro-ai

dfb7cd636ad8f8ac2d88053f9d3f279730b8608a

[ "Apache-2.0" ]

3

2015-11-07T14:45:20.000Z

2018-01-27T13:06:25.000Z

src/util/utils.py

5agado/intro-ai

dfb7cd636ad8f8ac2d88053f9d3f279730b8608a

[ "Apache-2.0" ]

null

src/util/utils.py

5agado/intro-ai

dfb7cd636ad8f8ac2d88053f9d3f279730b8608a

[ "Apache-2.0" ]

null

import os import math def dotProduct(v1, v2): return sum(x * y for x, y in zip(v1, v2)) def sigmoid(x): return 1.0 / (1.0 + math.exp(-x)) def getResourcesPath(): return os.path.abspath(os.path.join(os.path.dirname( __file__ ), os.pardir, 'resources')) def readTrainModel(filePath, numOutputs = 1): f = open(filePath, 'r') res = [] for line in f: sLine = list(map(float, line.strip().split(" "))) res.append(((sLine[:-numOutputs]), sLine[-numOutputs:])) return res def readMatrix(filePath): f = open(filePath, 'r') res = [] for line in f: res.append(list(map(float, line.strip().split(" ")))) return res

27.230769

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97

708

4.175258

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0.044444

0.064198

0.069136

0.261728

0.133333

0

0.017078

0.25565

708

26

95

27.230769

0.751423

0

0.380952

0

0.019006

0

1

0.238095

false

0

0.095238

0.142857

0.571429

0

null

0

null

0

1

0

1

0

3

c01b9112e0f0afc9d0edfc412d08f777b3d1b9d7

137

py

Python

_6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py

YordanPetrovDS/Python_Fundamentals

81163054cd3ac780697eaa43f099cc455f253a0c

[ "MIT" ]

null

_6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py

YordanPetrovDS/Python_Fundamentals

81163054cd3ac780697eaa43f099cc455f253a0c

[ "MIT" ]

null

_6_EXERCISE_BASIC SYNTAX, CONDITIONAL STATEMENTS AND LOOPS/_7_Maximum_Multiple.py

YordanPetrovDS/Python_Fundamentals

81163054cd3ac780697eaa43f099cc455f253a0c

[ "MIT" ]

null

divisor = int(input()) bound = int(input()) for num in range(bound, 0, -1): if num % divisor == 0: print(num) break

17.125

31

0.540146

20

137

3.7

0.65

0.216216

0

0.03125

0.29927

137

7

32

19.571429

0.739583

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

3

c04935b8a935560d2540de8efce949baca20ee57

846

py

Python

HW/hklearn/model.py

leguiart/Machine-Learning

2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253

[ "MIT" ]

null

HW/hklearn/model.py

leguiart/Machine-Learning

2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253

[ "MIT" ]

null

HW/hklearn/model.py

leguiart/Machine-Learning

2fd3c583fbfd8fc3ee12c9106db7b4dfa29bc253

[ "MIT" ]

null

import abc ''' Interfaz sobre la cual todo modelo implementa. Todo modelo dentro de la biblioteca hklearn implementa los siguientes comportamientos: -fit : Entrena el modelo con un a matriz de ejemplos X y sus respectivas etiquetas y -predict : El modelo entrenado, predice con base en una entrada X de ejemplos ''' class ModelInterface(metaclass=abc.ABCMeta): @classmethod def __subclasshook__(cls, subclass): return (hasattr(subclass, 'fit') and callable(subclass.fit) and hasattr(subclass, 'predict') and callable(subclass.predict)) @ModelInterface.register class Model: """Entrena modelo""" def fit(self, X, y): pass """Prediccion con base en el modelo entrenado""" def predict(self, X): pass

31.333333

89

0.640662

99

846

5.434343

0.545455

0.04461

0.063197

0

0.282506

846

27

90

31.333333

0.886326

0.016548

0

0.142857

0

0.023529

0

0.074074

0

1

0.214286

false

0.142857

0.071429

0.5

0

null

0

null

0

1

0

1

0

1

0

3

c04ff3ada5e9e3495ef3e426dee60d1388e47451

62,817

py

Python

aiotdlib/api/types/update.py

pylakey/pytdlib

a390a298a24a7123f3f3aec9f995dee6d51a478e

[ "MIT" ]

37

2021-05-04T10:41:41.000Z

2022-03-30T13:48:05.000Z

aiotdlib/api/types/update.py

pylakey/pytdlib

a390a298a24a7123f3f3aec9f995dee6d51a478e

[ "MIT" ]

13

2021-07-17T19:54:51.000Z

2022-02-26T06:50:00.000Z

aiotdlib/api/types/update.py

pylakey/pytdlib

a390a298a24a7123f3f3aec9f995dee6d51a478e

[ "MIT" ]

7

2021-09-22T21:27:11.000Z

2022-02-20T02:33:19.000Z

# =============================================================================== # # # # This file has been generated automatically!! Do not change this manually! # # # # =============================================================================== # from __future__ import annotations import typing from pydantic import Field from .address import Address from .authorization_state import AuthorizationState from .background import Background from .basic_group import BasicGroup from .basic_group_full_info import BasicGroupFullInfo from .call import Call from .callback_query_payload import CallbackQueryPayload from .chat import Chat from .chat_action import ChatAction from .chat_action_bar import ChatActionBar from .chat_filter_info import ChatFilterInfo from .chat_invite_link import ChatInviteLink from .chat_join_request import ChatJoinRequest from .chat_join_requests_info import ChatJoinRequestsInfo from .chat_list import ChatList from .chat_member import ChatMember from .chat_nearby import ChatNearby from .chat_notification_settings import ChatNotificationSettings from .chat_permissions import ChatPermissions from .chat_photo_info import ChatPhotoInfo from .chat_position import ChatPosition from .chat_theme import ChatTheme from .chat_type import ChatType from .connection_state import ConnectionState from .draft_message import DraftMessage from .file import File from .group_call import GroupCall from .group_call_participant import GroupCallParticipant from .language_pack_string import LanguagePackString from .location import Location from .message import Message from .message_content import MessageContent from .message_interaction_info import MessageInteractionInfo from .message_sender import MessageSender from .notification import Notification from .notification_group import NotificationGroup from .notification_group_type import NotificationGroupType from .notification_settings_scope import NotificationSettingsScope from .option_value import OptionValue from .order_info import OrderInfo from .poll import Poll from .reply_markup import ReplyMarkup from .scope_notification_settings import ScopeNotificationSettings from .secret_chat import SecretChat from .sticker import Sticker from .sticker_set import StickerSet from .sticker_sets import StickerSets from .suggested_action import SuggestedAction from .supergroup import Supergroup from .supergroup_full_info import SupergroupFullInfo from .terms_of_service import TermsOfService from .user import User from .user_full_info import UserFullInfo from .user_privacy_setting import UserPrivacySetting from .user_privacy_setting_rules import UserPrivacySettingRules from .user_status import UserStatus from .video_chat import VideoChat from ..base_object import BaseObject class Update(BaseObject): """ Contains notifications about data changes """ ID: str = Field("update", alias="@type") class UpdateActiveNotifications(Update): """ Contains active notifications that was shown on previous application launches. This update is sent only if the message database is used. In that case it comes once before any updateNotification and updateNotificationGroup update :param groups: Lists of active notification groups :type groups: :class:`list[NotificationGroup]` """ ID: str = Field("updateActiveNotifications", alias="@type") groups: list[NotificationGroup] @staticmethod def read(q: dict) -> UpdateActiveNotifications: return UpdateActiveNotifications.construct(**q) class UpdateAnimatedEmojiMessageClicked(Update): """ Some animated emoji message was clicked and a big animated sticker must be played if the message is visible on the screen. chatActionWatchingAnimations with the text of the message needs to be sent if the sticker is played :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` :param sticker: The animated sticker to be played :type sticker: :class:`Sticker` """ ID: str = Field("updateAnimatedEmojiMessageClicked", alias="@type") chat_id: int message_id: int sticker: Sticker @staticmethod def read(q: dict) -> UpdateAnimatedEmojiMessageClicked: return UpdateAnimatedEmojiMessageClicked.construct(**q) class UpdateAnimationSearchParameters(Update): """ The parameters of animation search through GetOption("animation_search_bot_username") bot has changed :param provider: Name of the animation search provider :type provider: :class:`str` :param emojis: The new list of emojis suggested for searching :type emojis: :class:`list[str]` """ ID: str = Field("updateAnimationSearchParameters", alias="@type") provider: str emojis: list[str] @staticmethod def read(q: dict) -> UpdateAnimationSearchParameters: return UpdateAnimationSearchParameters.construct(**q) class UpdateAuthorizationState(Update): """ The user authorization state has changed :param authorization_state: New authorization state :type authorization_state: :class:`AuthorizationState` """ ID: str = Field("updateAuthorizationState", alias="@type") authorization_state: AuthorizationState @staticmethod def read(q: dict) -> UpdateAuthorizationState: return UpdateAuthorizationState.construct(**q) class UpdateBasicGroup(Update): """ Some data of a basic group has changed. This update is guaranteed to come before the basic group identifier is returned to the application :param basic_group: New data about the group :type basic_group: :class:`BasicGroup` """ ID: str = Field("updateBasicGroup", alias="@type") basic_group: BasicGroup @staticmethod def read(q: dict) -> UpdateBasicGroup: return UpdateBasicGroup.construct(**q) class UpdateBasicGroupFullInfo(Update): """ Some data in basicGroupFullInfo has been changed :param basic_group_id: Identifier of a basic group :type basic_group_id: :class:`int` :param basic_group_full_info: New full information about the group :type basic_group_full_info: :class:`BasicGroupFullInfo` """ ID: str = Field("updateBasicGroupFullInfo", alias="@type") basic_group_id: int basic_group_full_info: BasicGroupFullInfo @staticmethod def read(q: dict) -> UpdateBasicGroupFullInfo: return UpdateBasicGroupFullInfo.construct(**q) class UpdateCall(Update): """ New call was created or information about a call was updated :param call: New data about a call :type call: :class:`Call` """ ID: str = Field("updateCall", alias="@type") call: Call @staticmethod def read(q: dict) -> UpdateCall: return UpdateCall.construct(**q) class UpdateChatAction(Update): """ A message sender activity in the chat has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_thread_id: If not 0, a message thread identifier in which the action was performed :type message_thread_id: :class:`int` :param sender_id: Identifier of a message sender performing the action :type sender_id: :class:`MessageSender` :param action: The action :type action: :class:`ChatAction` """ ID: str = Field("updateChatAction", alias="@type") chat_id: int message_thread_id: int sender_id: MessageSender action: ChatAction @staticmethod def read(q: dict) -> UpdateChatAction: return UpdateChatAction.construct(**q) class UpdateChatActionBar(Update): """ The chat action bar was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param action_bar: The new value of the action bar; may be null, defaults to None :type action_bar: :class:`ChatActionBar`, optional """ ID: str = Field("updateChatActionBar", alias="@type") chat_id: int action_bar: typing.Optional[ChatActionBar] = None @staticmethod def read(q: dict) -> UpdateChatActionBar: return UpdateChatActionBar.construct(**q) class UpdateChatDefaultDisableNotification(Update): """ The value of the default disable_notification parameter, used when a message is sent to the chat, was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param default_disable_notification: The new default_disable_notification value :type default_disable_notification: :class:`bool` """ ID: str = Field("updateChatDefaultDisableNotification", alias="@type") chat_id: int default_disable_notification: bool @staticmethod def read(q: dict) -> UpdateChatDefaultDisableNotification: return UpdateChatDefaultDisableNotification.construct(**q) class UpdateChatDraftMessage(Update): """ A chat draft has changed. Be aware that the update may come in the currently opened chat but with old content of the draft. If the user has changed the content of the draft, this update mustn't be applied :param chat_id: Chat identifier :type chat_id: :class:`int` :param draft_message: The new draft message; may be null, defaults to None :type draft_message: :class:`DraftMessage`, optional :param positions: The new chat positions in the chat lists :type positions: :class:`list[ChatPosition]` """ ID: str = Field("updateChatDraftMessage", alias="@type") chat_id: int draft_message: typing.Optional[DraftMessage] = None positions: list[ChatPosition] @staticmethod def read(q: dict) -> UpdateChatDraftMessage: return UpdateChatDraftMessage.construct(**q) class UpdateChatFilters(Update): """ The list of chat filters or a chat filter has changed :param chat_filters: The new list of chat filters :type chat_filters: :class:`list[ChatFilterInfo]` """ ID: str = Field("updateChatFilters", alias="@type") chat_filters: list[ChatFilterInfo] @staticmethod def read(q: dict) -> UpdateChatFilters: return UpdateChatFilters.construct(**q) class UpdateChatHasProtectedContent(Update): """ A chat content was allowed or restricted for saving :param chat_id: Chat identifier :type chat_id: :class:`int` :param has_protected_content: New value of has_protected_content :type has_protected_content: :class:`bool` """ ID: str = Field("updateChatHasProtectedContent", alias="@type") chat_id: int has_protected_content: bool @staticmethod def read(q: dict) -> UpdateChatHasProtectedContent: return UpdateChatHasProtectedContent.construct(**q) class UpdateChatHasScheduledMessages(Update): """ A chat's has_scheduled_messages field has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param has_scheduled_messages: New value of has_scheduled_messages :type has_scheduled_messages: :class:`bool` """ ID: str = Field("updateChatHasScheduledMessages", alias="@type") chat_id: int has_scheduled_messages: bool @staticmethod def read(q: dict) -> UpdateChatHasScheduledMessages: return UpdateChatHasScheduledMessages.construct(**q) class UpdateChatIsBlocked(Update): """ A chat was blocked or unblocked :param chat_id: Chat identifier :type chat_id: :class:`int` :param is_blocked: New value of is_blocked :type is_blocked: :class:`bool` """ ID: str = Field("updateChatIsBlocked", alias="@type") chat_id: int is_blocked: bool @staticmethod def read(q: dict) -> UpdateChatIsBlocked: return UpdateChatIsBlocked.construct(**q) class UpdateChatIsMarkedAsUnread(Update): """ A chat was marked as unread or was read :param chat_id: Chat identifier :type chat_id: :class:`int` :param is_marked_as_unread: New value of is_marked_as_unread :type is_marked_as_unread: :class:`bool` """ ID: str = Field("updateChatIsMarkedAsUnread", alias="@type") chat_id: int is_marked_as_unread: bool @staticmethod def read(q: dict) -> UpdateChatIsMarkedAsUnread: return UpdateChatIsMarkedAsUnread.construct(**q) class UpdateChatLastMessage(Update): """ The last message of a chat was changed. If last_message is null, then the last message in the chat became unknown. Some new unknown messages might be added to the chat in this case :param chat_id: Chat identifier :type chat_id: :class:`int` :param last_message: The new last message in the chat; may be null, defaults to None :type last_message: :class:`Message`, optional :param positions: The new chat positions in the chat lists :type positions: :class:`list[ChatPosition]` """ ID: str = Field("updateChatLastMessage", alias="@type") chat_id: int last_message: typing.Optional[Message] = None positions: list[ChatPosition] @staticmethod def read(q: dict) -> UpdateChatLastMessage: return UpdateChatLastMessage.construct(**q) class UpdateChatMember(Update): """ User rights changed in a chat; for bots only :param chat_id: Chat identifier :type chat_id: :class:`int` :param actor_user_id: Identifier of the user, changing the rights :type actor_user_id: :class:`int` :param date: Point in time (Unix timestamp) when the user rights was changed :type date: :class:`int` :param invite_link: If user has joined the chat using an invite link, the invite link; may be null, defaults to None :type invite_link: :class:`ChatInviteLink`, optional :param old_chat_member: Previous chat member :type old_chat_member: :class:`ChatMember` :param new_chat_member: New chat member :type new_chat_member: :class:`ChatMember` """ ID: str = Field("updateChatMember", alias="@type") chat_id: int actor_user_id: int date: int invite_link: typing.Optional[ChatInviteLink] = None old_chat_member: ChatMember new_chat_member: ChatMember @staticmethod def read(q: dict) -> UpdateChatMember: return UpdateChatMember.construct(**q) class UpdateChatMessageSender(Update): """ The message sender that is selected to send messages in a chat has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_sender_id: New value of message_sender_id; may be null if the user can't change message sender, defaults to None :type message_sender_id: :class:`MessageSender`, optional """ ID: str = Field("updateChatMessageSender", alias="@type") chat_id: int message_sender_id: typing.Optional[MessageSender] = None @staticmethod def read(q: dict) -> UpdateChatMessageSender: return UpdateChatMessageSender.construct(**q) class UpdateChatMessageTtl(Update): """ The message Time To Live setting for a chat was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_ttl: New value of message_ttl :type message_ttl: :class:`int` """ ID: str = Field("updateChatMessageTtl", alias="@type") chat_id: int message_ttl: int @staticmethod def read(q: dict) -> UpdateChatMessageTtl: return UpdateChatMessageTtl.construct(**q) class UpdateChatNotificationSettings(Update): """ Notification settings for a chat were changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param notification_settings: The new notification settings :type notification_settings: :class:`ChatNotificationSettings` """ ID: str = Field("updateChatNotificationSettings", alias="@type") chat_id: int notification_settings: ChatNotificationSettings @staticmethod def read(q: dict) -> UpdateChatNotificationSettings: return UpdateChatNotificationSettings.construct(**q) class UpdateChatOnlineMemberCount(Update): """ The number of online group members has changed. This update with non-zero count is sent only for currently opened chats. There is no guarantee that it will be sent just after the count has changed :param chat_id: Identifier of the chat :type chat_id: :class:`int` :param online_member_count: New number of online members in the chat, or 0 if unknown :type online_member_count: :class:`int` """ ID: str = Field("updateChatOnlineMemberCount", alias="@type") chat_id: int online_member_count: int @staticmethod def read(q: dict) -> UpdateChatOnlineMemberCount: return UpdateChatOnlineMemberCount.construct(**q) class UpdateChatPendingJoinRequests(Update): """ The chat pending join requests were changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param pending_join_requests: The new data about pending join requests; may be null, defaults to None :type pending_join_requests: :class:`ChatJoinRequestsInfo`, optional """ ID: str = Field("updateChatPendingJoinRequests", alias="@type") chat_id: int pending_join_requests: typing.Optional[ChatJoinRequestsInfo] = None @staticmethod def read(q: dict) -> UpdateChatPendingJoinRequests: return UpdateChatPendingJoinRequests.construct(**q) class UpdateChatPermissions(Update): """ Chat permissions was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param permissions: The new chat permissions :type permissions: :class:`ChatPermissions` """ ID: str = Field("updateChatPermissions", alias="@type") chat_id: int permissions: ChatPermissions @staticmethod def read(q: dict) -> UpdateChatPermissions: return UpdateChatPermissions.construct(**q) class UpdateChatPhoto(Update): """ A chat photo was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param photo: The new chat photo; may be null, defaults to None :type photo: :class:`ChatPhotoInfo`, optional """ ID: str = Field("updateChatPhoto", alias="@type") chat_id: int photo: typing.Optional[ChatPhotoInfo] = None @staticmethod def read(q: dict) -> UpdateChatPhoto: return UpdateChatPhoto.construct(**q) class UpdateChatPosition(Update): """ The position of a chat in a chat list has changed. Instead of this update updateChatLastMessage or updateChatDraftMessage might be sent :param chat_id: Chat identifier :type chat_id: :class:`int` :param position: New chat position. If new order is 0, then the chat needs to be removed from the list :type position: :class:`ChatPosition` """ ID: str = Field("updateChatPosition", alias="@type") chat_id: int position: ChatPosition @staticmethod def read(q: dict) -> UpdateChatPosition: return UpdateChatPosition.construct(**q) class UpdateChatReadInbox(Update): """ Incoming messages were read or the number of unread messages has been changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param last_read_inbox_message_id: Identifier of the last read incoming message :type last_read_inbox_message_id: :class:`int` :param unread_count: The number of unread messages left in the chat :type unread_count: :class:`int` """ ID: str = Field("updateChatReadInbox", alias="@type") chat_id: int last_read_inbox_message_id: int unread_count: int @staticmethod def read(q: dict) -> UpdateChatReadInbox: return UpdateChatReadInbox.construct(**q) class UpdateChatReadOutbox(Update): """ Outgoing messages were read :param chat_id: Chat identifier :type chat_id: :class:`int` :param last_read_outbox_message_id: Identifier of last read outgoing message :type last_read_outbox_message_id: :class:`int` """ ID: str = Field("updateChatReadOutbox", alias="@type") chat_id: int last_read_outbox_message_id: int @staticmethod def read(q: dict) -> UpdateChatReadOutbox: return UpdateChatReadOutbox.construct(**q) class UpdateChatReplyMarkup(Update): """ The default chat reply markup was changed. Can occur because new messages with reply markup were received or because an old reply markup was hidden by the user :param chat_id: Chat identifier :type chat_id: :class:`int` :param reply_markup_message_id: Identifier of the message from which reply markup needs to be used; 0 if there is no default custom reply markup in the chat :type reply_markup_message_id: :class:`int` """ ID: str = Field("updateChatReplyMarkup", alias="@type") chat_id: int reply_markup_message_id: int @staticmethod def read(q: dict) -> UpdateChatReplyMarkup: return UpdateChatReplyMarkup.construct(**q) class UpdateChatTheme(Update): """ The chat theme was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param theme_name: The new name of the chat theme; may be empty if theme was reset to default :type theme_name: :class:`str` """ ID: str = Field("updateChatTheme", alias="@type") chat_id: int theme_name: str @staticmethod def read(q: dict) -> UpdateChatTheme: return UpdateChatTheme.construct(**q) class UpdateChatThemes(Update): """ The list of available chat themes has changed :param chat_themes: The new list of chat themes :type chat_themes: :class:`list[ChatTheme]` """ ID: str = Field("updateChatThemes", alias="@type") chat_themes: list[ChatTheme] @staticmethod def read(q: dict) -> UpdateChatThemes: return UpdateChatThemes.construct(**q) class UpdateChatTitle(Update): """ The title of a chat was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param title: The new chat title :type title: :class:`str` """ ID: str = Field("updateChatTitle", alias="@type") chat_id: int title: str @staticmethod def read(q: dict) -> UpdateChatTitle: return UpdateChatTitle.construct(**q) class UpdateChatUnreadMentionCount(Update): """ The chat unread_mention_count has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param unread_mention_count: The number of unread mention messages left in the chat :type unread_mention_count: :class:`int` """ ID: str = Field("updateChatUnreadMentionCount", alias="@type") chat_id: int unread_mention_count: int @staticmethod def read(q: dict) -> UpdateChatUnreadMentionCount: return UpdateChatUnreadMentionCount.construct(**q) class UpdateChatVideoChat(Update): """ A chat video chat state has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param video_chat: New value of video_chat :type video_chat: :class:`VideoChat` """ ID: str = Field("updateChatVideoChat", alias="@type") chat_id: int video_chat: VideoChat @staticmethod def read(q: dict) -> UpdateChatVideoChat: return UpdateChatVideoChat.construct(**q) class UpdateConnectionState(Update): """ The connection state has changed. This update must be used only to show a human-readable description of the connection state :param state: The new connection state :type state: :class:`ConnectionState` """ ID: str = Field("updateConnectionState", alias="@type") state: ConnectionState @staticmethod def read(q: dict) -> UpdateConnectionState: return UpdateConnectionState.construct(**q) class UpdateDeleteMessages(Update): """ Some messages were deleted :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_ids: Identifiers of the deleted messages :type message_ids: :class:`list[int]` :param is_permanent: True, if the messages are permanently deleted by a user (as opposed to just becoming inaccessible) :type is_permanent: :class:`bool` :param from_cache: True, if the messages are deleted only from the cache and can possibly be retrieved again in the future :type from_cache: :class:`bool` """ ID: str = Field("updateDeleteMessages", alias="@type") chat_id: int message_ids: list[int] is_permanent: bool from_cache: bool @staticmethod def read(q: dict) -> UpdateDeleteMessages: return UpdateDeleteMessages.construct(**q) class UpdateDiceEmojis(Update): """ The list of supported dice emojis has changed :param emojis: The new list of supported dice emojis :type emojis: :class:`list[str]` """ ID: str = Field("updateDiceEmojis", alias="@type") emojis: list[str] @staticmethod def read(q: dict) -> UpdateDiceEmojis: return UpdateDiceEmojis.construct(**q) class UpdateFavoriteStickers(Update): """ The list of favorite stickers was updated :param sticker_ids: The new list of file identifiers of favorite stickers :type sticker_ids: :class:`list[int]` """ ID: str = Field("updateFavoriteStickers", alias="@type") sticker_ids: list[int] @staticmethod def read(q: dict) -> UpdateFavoriteStickers: return UpdateFavoriteStickers.construct(**q) class UpdateFile(Update): """ Information about a file was updated :param file: New data about the file :type file: :class:`File` """ ID: str = Field("updateFile", alias="@type") file: File @staticmethod def read(q: dict) -> UpdateFile: return UpdateFile.construct(**q) class UpdateFileGenerationStart(Update): """ The file generation process needs to be started by the application :param generation_id: Unique identifier for the generation process :type generation_id: :class:`int` :param original_path: The path to a file from which a new file is generated; may be empty :type original_path: :class:`str` :param destination_path: The path to a file that must be created and where the new file is generated :type destination_path: :class:`str` :param conversion: String specifying the conversion applied to the original file. If conversion is "#url#" than original_path contains an HTTP/HTTPS URL of a file, which must be downloaded by the application :type conversion: :class:`str` """ ID: str = Field("updateFileGenerationStart", alias="@type") generation_id: int original_path: str destination_path: str conversion: str @staticmethod def read(q: dict) -> UpdateFileGenerationStart: return UpdateFileGenerationStart.construct(**q) class UpdateFileGenerationStop(Update): """ File generation is no longer needed :param generation_id: Unique identifier for the generation process :type generation_id: :class:`int` """ ID: str = Field("updateFileGenerationStop", alias="@type") generation_id: int @staticmethod def read(q: dict) -> UpdateFileGenerationStop: return UpdateFileGenerationStop.construct(**q) class UpdateGroupCall(Update): """ Information about a group call was updated :param group_call: New data about a group call :type group_call: :class:`GroupCall` """ ID: str = Field("updateGroupCall", alias="@type") group_call: GroupCall @staticmethod def read(q: dict) -> UpdateGroupCall: return UpdateGroupCall.construct(**q) class UpdateGroupCallParticipant(Update): """ Information about a group call participant was changed. The updates are sent only after the group call is received through getGroupCall and only if the call is joined or being joined :param group_call_id: Identifier of group call :type group_call_id: :class:`int` :param participant: New data about a participant :type participant: :class:`GroupCallParticipant` """ ID: str = Field("updateGroupCallParticipant", alias="@type") group_call_id: int participant: GroupCallParticipant @staticmethod def read(q: dict) -> UpdateGroupCallParticipant: return UpdateGroupCallParticipant.construct(**q) class UpdateHavePendingNotifications(Update): """ Describes whether there are some pending notification updates. Can be used to prevent application from killing, while there are some pending notifications :param have_delayed_notifications: True, if there are some delayed notification updates, which will be sent soon :type have_delayed_notifications: :class:`bool` :param have_unreceived_notifications: True, if there can be some yet unreceived notifications, which are being fetched from the server :type have_unreceived_notifications: :class:`bool` """ ID: str = Field("updateHavePendingNotifications", alias="@type") have_delayed_notifications: bool have_unreceived_notifications: bool @staticmethod def read(q: dict) -> UpdateHavePendingNotifications: return UpdateHavePendingNotifications.construct(**q) class UpdateInstalledStickerSets(Update): """ The list of installed sticker sets was updated :param is_masks: True, if the list of installed mask sticker sets was updated :type is_masks: :class:`bool` :param sticker_set_ids: The new list of installed ordinary sticker sets :type sticker_set_ids: :class:`list[int]` """ ID: str = Field("updateInstalledStickerSets", alias="@type") is_masks: bool sticker_set_ids: list[int] @staticmethod def read(q: dict) -> UpdateInstalledStickerSets: return UpdateInstalledStickerSets.construct(**q) class UpdateLanguagePackStrings(Update): """ Some language pack strings have been updated :param localization_target: Localization target to which the language pack belongs :type localization_target: :class:`str` :param language_pack_id: Identifier of the updated language pack :type language_pack_id: :class:`str` :param strings: List of changed language pack strings :type strings: :class:`list[LanguagePackString]` """ ID: str = Field("updateLanguagePackStrings", alias="@type") localization_target: str language_pack_id: str strings: list[LanguagePackString] @staticmethod def read(q: dict) -> UpdateLanguagePackStrings: return UpdateLanguagePackStrings.construct(**q) class UpdateMessageContent(Update): """ The message content has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` :param new_content: New message content :type new_content: :class:`MessageContent` """ ID: str = Field("updateMessageContent", alias="@type") chat_id: int message_id: int new_content: MessageContent @staticmethod def read(q: dict) -> UpdateMessageContent: return UpdateMessageContent.construct(**q) class UpdateMessageContentOpened(Update): """ The message content was opened. Updates voice note messages to "listened", video note messages to "viewed" and starts the TTL timer for self-destructing messages :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` """ ID: str = Field("updateMessageContentOpened", alias="@type") chat_id: int message_id: int @staticmethod def read(q: dict) -> UpdateMessageContentOpened: return UpdateMessageContentOpened.construct(**q) class UpdateMessageEdited(Update): """ A message was edited. Changes in the message content will come in a separate updateMessageContent :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` :param edit_date: Point in time (Unix timestamp) when the message was edited :type edit_date: :class:`int` :param reply_markup: New message reply markup; may be null, defaults to None :type reply_markup: :class:`ReplyMarkup`, optional """ ID: str = Field("updateMessageEdited", alias="@type") chat_id: int message_id: int edit_date: int reply_markup: typing.Optional[ReplyMarkup] = None @staticmethod def read(q: dict) -> UpdateMessageEdited: return UpdateMessageEdited.construct(**q) class UpdateMessageInteractionInfo(Update): """ The information about interactions with a message has changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` :param interaction_info: New information about interactions with the message; may be null, defaults to None :type interaction_info: :class:`MessageInteractionInfo`, optional """ ID: str = Field("updateMessageInteractionInfo", alias="@type") chat_id: int message_id: int interaction_info: typing.Optional[MessageInteractionInfo] = None @staticmethod def read(q: dict) -> UpdateMessageInteractionInfo: return UpdateMessageInteractionInfo.construct(**q) class UpdateMessageIsPinned(Update): """ The message pinned state was changed :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: The message identifier :type message_id: :class:`int` :param is_pinned: True, if the message is pinned :type is_pinned: :class:`bool` """ ID: str = Field("updateMessageIsPinned", alias="@type") chat_id: int message_id: int is_pinned: bool @staticmethod def read(q: dict) -> UpdateMessageIsPinned: return UpdateMessageIsPinned.construct(**q) class UpdateMessageLiveLocationViewed(Update): """ A message with a live location was viewed. When the update is received, the application is supposed to update the live location :param chat_id: Identifier of the chat with the live location message :type chat_id: :class:`int` :param message_id: Identifier of the message with live location :type message_id: :class:`int` """ ID: str = Field("updateMessageLiveLocationViewed", alias="@type") chat_id: int message_id: int @staticmethod def read(q: dict) -> UpdateMessageLiveLocationViewed: return UpdateMessageLiveLocationViewed.construct(**q) class UpdateMessageMentionRead(Update): """ A message with an unread mention was read :param chat_id: Chat identifier :type chat_id: :class:`int` :param message_id: Message identifier :type message_id: :class:`int` :param unread_mention_count: The new number of unread mention messages left in the chat :type unread_mention_count: :class:`int` """ ID: str = Field("updateMessageMentionRead", alias="@type") chat_id: int message_id: int unread_mention_count: int @staticmethod def read(q: dict) -> UpdateMessageMentionRead: return UpdateMessageMentionRead.construct(**q) class UpdateMessageSendAcknowledged(Update): """ A request to send a message has reached the Telegram server. This doesn't mean that the message will be sent successfully or even that the send message request will be processed. This update will be sent only if the option "use_quick_ack" is set to true. This update may be sent multiple times for the same message :param chat_id: The chat identifier of the sent message :type chat_id: :class:`int` :param message_id: A temporary message identifier :type message_id: :class:`int` """ ID: str = Field("updateMessageSendAcknowledged", alias="@type") chat_id: int message_id: int @staticmethod def read(q: dict) -> UpdateMessageSendAcknowledged: return UpdateMessageSendAcknowledged.construct(**q) class UpdateMessageSendFailed(Update): """ A message failed to send. Be aware that some messages being sent can be irrecoverably deleted, in which case updateDeleteMessages will be received instead of this update :param message: The failed to send message :type message: :class:`Message` :param old_message_id: The previous temporary message identifier :type old_message_id: :class:`int` :param error_code: An error code :type error_code: :class:`int` :param error_message: Error message :type error_message: :class:`str` """ ID: str = Field("updateMessageSendFailed", alias="@type") message: Message old_message_id: int error_code: int error_message: str @staticmethod def read(q: dict) -> UpdateMessageSendFailed: return UpdateMessageSendFailed.construct(**q) class UpdateMessageSendSucceeded(Update): """ A message has been successfully sent :param message: The sent message. Usually only the message identifier, date, and content are changed, but almost all other fields can also change :type message: :class:`Message` :param old_message_id: The previous temporary message identifier :type old_message_id: :class:`int` """ ID: str = Field("updateMessageSendSucceeded", alias="@type") message: Message old_message_id: int @staticmethod def read(q: dict) -> UpdateMessageSendSucceeded: return UpdateMessageSendSucceeded.construct(**q) class UpdateNewCallSignalingData(Update): """ New call signaling data arrived :param call_id: The call identifier :type call_id: :class:`int` :param data: The data :type data: :class:`str` """ ID: str = Field("updateNewCallSignalingData", alias="@type") call_id: int data: str @staticmethod def read(q: dict) -> UpdateNewCallSignalingData: return UpdateNewCallSignalingData.construct(**q) class UpdateNewCallbackQuery(Update): """ A new incoming callback query; for bots only :param id: Unique query identifier :type id: :class:`int` :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param chat_id: Identifier of the chat where the query was sent :type chat_id: :class:`int` :param message_id: Identifier of the message, from which the query originated :type message_id: :class:`int` :param chat_instance: Identifier that uniquely corresponds to the chat to which the message was sent :type chat_instance: :class:`int` :param payload: Query payload :type payload: :class:`CallbackQueryPayload` """ ID: str = Field("updateNewCallbackQuery", alias="@type") id: int sender_user_id: int chat_id: int message_id: int chat_instance: int payload: CallbackQueryPayload @staticmethod def read(q: dict) -> UpdateNewCallbackQuery: return UpdateNewCallbackQuery.construct(**q) class UpdateNewChat(Update): """ A new chat has been loaded/created. This update is guaranteed to come before the chat identifier is returned to the application. The chat field changes will be reported through separate updates :param chat: The chat :type chat: :class:`Chat` """ ID: str = Field("updateNewChat", alias="@type") chat: Chat @staticmethod def read(q: dict) -> UpdateNewChat: return UpdateNewChat.construct(**q) class UpdateNewChatJoinRequest(Update): """ A user sent a join request to a chat; for bots only :param chat_id: Chat identifier :type chat_id: :class:`int` :param request: Join request :type request: :class:`ChatJoinRequest` :param invite_link: The invite link, which was used to send join request; may be null, defaults to None :type invite_link: :class:`ChatInviteLink`, optional """ ID: str = Field("updateNewChatJoinRequest", alias="@type") chat_id: int request: ChatJoinRequest invite_link: typing.Optional[ChatInviteLink] = None @staticmethod def read(q: dict) -> UpdateNewChatJoinRequest: return UpdateNewChatJoinRequest.construct(**q) class UpdateNewChosenInlineResult(Update): """ The user has chosen a result of an inline query; for bots only :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param user_location: User location; may be null, defaults to None :type user_location: :class:`Location`, optional :param query: Text of the query :type query: :class:`str` :param result_id: Identifier of the chosen result :type result_id: :class:`str` :param inline_message_id: Identifier of the sent inline message, if known :type inline_message_id: :class:`str` """ ID: str = Field("updateNewChosenInlineResult", alias="@type") sender_user_id: int user_location: typing.Optional[Location] = None query: str result_id: str inline_message_id: str @staticmethod def read(q: dict) -> UpdateNewChosenInlineResult: return UpdateNewChosenInlineResult.construct(**q) class UpdateNewCustomEvent(Update): """ A new incoming event; for bots only :param event: A JSON-serialized event :type event: :class:`str` """ ID: str = Field("updateNewCustomEvent", alias="@type") event: str @staticmethod def read(q: dict) -> UpdateNewCustomEvent: return UpdateNewCustomEvent.construct(**q) class UpdateNewCustomQuery(Update): """ A new incoming query; for bots only :param id: The query identifier :type id: :class:`int` :param data: JSON-serialized query data :type data: :class:`str` :param timeout: Query timeout :type timeout: :class:`int` """ ID: str = Field("updateNewCustomQuery", alias="@type") id: int data: str timeout: int @staticmethod def read(q: dict) -> UpdateNewCustomQuery: return UpdateNewCustomQuery.construct(**q) class UpdateNewInlineCallbackQuery(Update): """ A new incoming callback query from a message sent via a bot; for bots only :param id: Unique query identifier :type id: :class:`int` :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param inline_message_id: Identifier of the inline message, from which the query originated :type inline_message_id: :class:`str` :param chat_instance: An identifier uniquely corresponding to the chat a message was sent to :type chat_instance: :class:`int` :param payload: Query payload :type payload: :class:`CallbackQueryPayload` """ ID: str = Field("updateNewInlineCallbackQuery", alias="@type") id: int sender_user_id: int inline_message_id: str chat_instance: int payload: CallbackQueryPayload @staticmethod def read(q: dict) -> UpdateNewInlineCallbackQuery: return UpdateNewInlineCallbackQuery.construct(**q) class UpdateNewInlineQuery(Update): """ A new incoming inline query; for bots only :param id: Unique query identifier :type id: :class:`int` :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param user_location: User location; may be null, defaults to None :type user_location: :class:`Location`, optional :param chat_type: The type of the chat, from which the query originated; may be null if unknown, defaults to None :type chat_type: :class:`ChatType`, optional :param query: Text of the query :type query: :class:`str` :param offset: Offset of the first entry to return :type offset: :class:`str` """ ID: str = Field("updateNewInlineQuery", alias="@type") id: int sender_user_id: int user_location: typing.Optional[Location] = None chat_type: typing.Optional[ChatType] = None query: str offset: str @staticmethod def read(q: dict) -> UpdateNewInlineQuery: return UpdateNewInlineQuery.construct(**q) class UpdateNewMessage(Update): """ A new message was received; can also be an outgoing message :param message: The new message :type message: :class:`Message` """ ID: str = Field("updateNewMessage", alias="@type") message: Message @staticmethod def read(q: dict) -> UpdateNewMessage: return UpdateNewMessage.construct(**q) class UpdateNewPreCheckoutQuery(Update): """ A new incoming pre-checkout query; for bots only. Contains full information about a checkout :param id: Unique query identifier :type id: :class:`int` :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param currency: Currency for the product price :type currency: :class:`str` :param total_amount: Total price for the product, in the smallest units of the currency :type total_amount: :class:`int` :param invoice_payload: Invoice payload :type invoice_payload: :class:`str` :param shipping_option_id: Identifier of a shipping option chosen by the user; may be empty if not applicable :type shipping_option_id: :class:`str` :param order_info: Information about the order; may be null, defaults to None :type order_info: :class:`OrderInfo`, optional """ ID: str = Field("updateNewPreCheckoutQuery", alias="@type") id: int sender_user_id: int currency: str total_amount: int invoice_payload: str shipping_option_id: str order_info: typing.Optional[OrderInfo] = None @staticmethod def read(q: dict) -> UpdateNewPreCheckoutQuery: return UpdateNewPreCheckoutQuery.construct(**q) class UpdateNewShippingQuery(Update): """ A new incoming shipping query; for bots only. Only for invoices with flexible price :param id: Unique query identifier :type id: :class:`int` :param sender_user_id: Identifier of the user who sent the query :type sender_user_id: :class:`int` :param invoice_payload: Invoice payload :type invoice_payload: :class:`str` :param shipping_address: User shipping address :type shipping_address: :class:`Address` """ ID: str = Field("updateNewShippingQuery", alias="@type") id: int sender_user_id: int invoice_payload: str shipping_address: Address @staticmethod def read(q: dict) -> UpdateNewShippingQuery: return UpdateNewShippingQuery.construct(**q) class UpdateNotification(Update): """ A notification was changed :param notification_group_id: Unique notification group identifier :type notification_group_id: :class:`int` :param notification: Changed notification :type notification: :class:`Notification` """ ID: str = Field("updateNotification", alias="@type") notification_group_id: int notification: Notification @staticmethod def read(q: dict) -> UpdateNotification: return UpdateNotification.construct(**q) class UpdateNotificationGroup(Update): """ A list of active notifications in a notification group has changed :param notification_group_id: Unique notification group identifier :type notification_group_id: :class:`int` :param type_: New type of the notification group :type type_: :class:`NotificationGroupType` :param chat_id: Identifier of a chat to which all notifications in the group belong :type chat_id: :class:`int` :param notification_settings_chat_id: Chat identifier, which notification settings must be applied to the added notifications :type notification_settings_chat_id: :class:`int` :param is_silent: True, if the notifications must be shown without sound :type is_silent: :class:`bool` :param total_count: Total number of unread notifications in the group, can be bigger than number of active notifications :type total_count: :class:`int` :param added_notifications: List of added group notifications, sorted by notification ID :type added_notifications: :class:`list[Notification]` :param removed_notification_ids: Identifiers of removed group notifications, sorted by notification ID :type removed_notification_ids: :class:`list[int]` """ ID: str = Field("updateNotificationGroup", alias="@type") notification_group_id: int type_: NotificationGroupType = Field(..., alias='type') chat_id: int notification_settings_chat_id: int is_silent: bool total_count: int added_notifications: list[Notification] removed_notification_ids: list[int] @staticmethod def read(q: dict) -> UpdateNotificationGroup: return UpdateNotificationGroup.construct(**q) class UpdateOption(Update): """ An option changed its value :param name: The option name :type name: :class:`str` :param value: The new option value :type value: :class:`OptionValue` """ ID: str = Field("updateOption", alias="@type") name: str value: OptionValue @staticmethod def read(q: dict) -> UpdateOption: return UpdateOption.construct(**q) class UpdatePoll(Update): """ A poll was updated; for bots only :param poll: New data about the poll :type poll: :class:`Poll` """ ID: str = Field("updatePoll", alias="@type") poll: Poll @staticmethod def read(q: dict) -> UpdatePoll: return UpdatePoll.construct(**q) class UpdatePollAnswer(Update): """ A user changed the answer to a poll; for bots only :param poll_id: Unique poll identifier :type poll_id: :class:`int` :param user_id: The user, who changed the answer to the poll :type user_id: :class:`int` :param option_ids: 0-based identifiers of answer options, chosen by the user :type option_ids: :class:`list[int]` """ ID: str = Field("updatePollAnswer", alias="@type") poll_id: int user_id: int option_ids: list[int] @staticmethod def read(q: dict) -> UpdatePollAnswer: return UpdatePollAnswer.construct(**q) class UpdateRecentStickers(Update): """ The list of recently used stickers was updated :param is_attached: True, if the list of stickers attached to photo or video files was updated, otherwise the list of sent stickers is updated :type is_attached: :class:`bool` :param sticker_ids: The new list of file identifiers of recently used stickers :type sticker_ids: :class:`list[int]` """ ID: str = Field("updateRecentStickers", alias="@type") is_attached: bool sticker_ids: list[int] @staticmethod def read(q: dict) -> UpdateRecentStickers: return UpdateRecentStickers.construct(**q) class UpdateSavedAnimations(Update): """ The list of saved animations was updated :param animation_ids: The new list of file identifiers of saved animations :type animation_ids: :class:`list[int]` """ ID: str = Field("updateSavedAnimations", alias="@type") animation_ids: list[int] @staticmethod def read(q: dict) -> UpdateSavedAnimations: return UpdateSavedAnimations.construct(**q) class UpdateScopeNotificationSettings(Update): """ Notification settings for some type of chats were updated :param scope: Types of chats for which notification settings were updated :type scope: :class:`NotificationSettingsScope` :param notification_settings: The new notification settings :type notification_settings: :class:`ScopeNotificationSettings` """ ID: str = Field("updateScopeNotificationSettings", alias="@type") scope: NotificationSettingsScope notification_settings: ScopeNotificationSettings @staticmethod def read(q: dict) -> UpdateScopeNotificationSettings: return UpdateScopeNotificationSettings.construct(**q) class UpdateSecretChat(Update): """ Some data of a secret chat has changed. This update is guaranteed to come before the secret chat identifier is returned to the application :param secret_chat: New data about the secret chat :type secret_chat: :class:`SecretChat` """ ID: str = Field("updateSecretChat", alias="@type") secret_chat: SecretChat @staticmethod def read(q: dict) -> UpdateSecretChat: return UpdateSecretChat.construct(**q) class UpdateSelectedBackground(Update): """ The selected background has changed :param for_dark_theme: True, if background for dark theme has changed :type for_dark_theme: :class:`bool` :param background: The new selected background; may be null, defaults to None :type background: :class:`Background`, optional """ ID: str = Field("updateSelectedBackground", alias="@type") for_dark_theme: bool background: typing.Optional[Background] = None @staticmethod def read(q: dict) -> UpdateSelectedBackground: return UpdateSelectedBackground.construct(**q) class UpdateServiceNotification(Update): """ A service notification from the server was received. Upon receiving this the application must show a popup with the content of the notification :param type_: Notification type. If type begins with "AUTH_KEY_DROP_", then two buttons "Cancel" and "Log out" must be shown under notification; if user presses the second, all local data must be destroyed using Destroy method :type type_: :class:`str` :param content: Notification content :type content: :class:`MessageContent` """ ID: str = Field("updateServiceNotification", alias="@type") type_: str = Field(..., alias='type') content: MessageContent @staticmethod def read(q: dict) -> UpdateServiceNotification: return UpdateServiceNotification.construct(**q) class UpdateStickerSet(Update): """ A sticker set has changed :param sticker_set: The sticker set :type sticker_set: :class:`StickerSet` """ ID: str = Field("updateStickerSet", alias="@type") sticker_set: StickerSet @staticmethod def read(q: dict) -> UpdateStickerSet: return UpdateStickerSet.construct(**q) class UpdateSuggestedActions(Update): """ The list of suggested to the user actions has changed :param added_actions: Added suggested actions :type added_actions: :class:`list[SuggestedAction]` :param removed_actions: Removed suggested actions :type removed_actions: :class:`list[SuggestedAction]` """ ID: str = Field("updateSuggestedActions", alias="@type") added_actions: list[SuggestedAction] removed_actions: list[SuggestedAction] @staticmethod def read(q: dict) -> UpdateSuggestedActions: return UpdateSuggestedActions.construct(**q) class UpdateSupergroup(Update): """ Some data of a supergroup or a channel has changed. This update is guaranteed to come before the supergroup identifier is returned to the application :param supergroup: New data about the supergroup :type supergroup: :class:`Supergroup` """ ID: str = Field("updateSupergroup", alias="@type") supergroup: Supergroup @staticmethod def read(q: dict) -> UpdateSupergroup: return UpdateSupergroup.construct(**q) class UpdateSupergroupFullInfo(Update): """ Some data in supergroupFullInfo has been changed :param supergroup_id: Identifier of the supergroup or channel :type supergroup_id: :class:`int` :param supergroup_full_info: New full information about the supergroup :type supergroup_full_info: :class:`SupergroupFullInfo` """ ID: str = Field("updateSupergroupFullInfo", alias="@type") supergroup_id: int supergroup_full_info: SupergroupFullInfo @staticmethod def read(q: dict) -> UpdateSupergroupFullInfo: return UpdateSupergroupFullInfo.construct(**q) class UpdateTermsOfService(Update): """ New terms of service must be accepted by the user. If the terms of service are declined, then the deleteAccount method must be called with the reason "Decline ToS update" :param terms_of_service_id: Identifier of the terms of service :type terms_of_service_id: :class:`str` :param terms_of_service: The new terms of service :type terms_of_service: :class:`TermsOfService` """ ID: str = Field("updateTermsOfService", alias="@type") terms_of_service_id: str terms_of_service: TermsOfService @staticmethod def read(q: dict) -> UpdateTermsOfService: return UpdateTermsOfService.construct(**q) class UpdateTrendingStickerSets(Update): """ The list of trending sticker sets was updated or some of them were viewed :param sticker_sets: The prefix of the list of trending sticker sets with the newest trending sticker sets :type sticker_sets: :class:`StickerSets` """ ID: str = Field("updateTrendingStickerSets", alias="@type") sticker_sets: StickerSets @staticmethod def read(q: dict) -> UpdateTrendingStickerSets: return UpdateTrendingStickerSets.construct(**q) class UpdateUnreadChatCount(Update): """ Number of unread chats, i.e. with unread messages or marked as unread, has changed. This update is sent only if the message database is used :param chat_list: The chat list with changed number of unread messages :type chat_list: :class:`ChatList` :param total_count: Approximate total number of chats in the chat list :type total_count: :class:`int` :param unread_count: Total number of unread chats :type unread_count: :class:`int` :param unread_unmuted_count: Total number of unread unmuted chats :type unread_unmuted_count: :class:`int` :param marked_as_unread_count: Total number of chats marked as unread :type marked_as_unread_count: :class:`int` :param marked_as_unread_unmuted_count: Total number of unmuted chats marked as unread :type marked_as_unread_unmuted_count: :class:`int` """ ID: str = Field("updateUnreadChatCount", alias="@type") chat_list: ChatList total_count: int unread_count: int unread_unmuted_count: int marked_as_unread_count: int marked_as_unread_unmuted_count: int @staticmethod def read(q: dict) -> UpdateUnreadChatCount: return UpdateUnreadChatCount.construct(**q) class UpdateUnreadMessageCount(Update): """ Number of unread messages in a chat list has changed. This update is sent only if the message database is used :param chat_list: The chat list with changed number of unread messages :type chat_list: :class:`ChatList` :param unread_count: Total number of unread messages :type unread_count: :class:`int` :param unread_unmuted_count: Total number of unread messages in unmuted chats :type unread_unmuted_count: :class:`int` """ ID: str = Field("updateUnreadMessageCount", alias="@type") chat_list: ChatList unread_count: int unread_unmuted_count: int @staticmethod def read(q: dict) -> UpdateUnreadMessageCount: return UpdateUnreadMessageCount.construct(**q) class UpdateUser(Update): """ Some data of a user has changed. This update is guaranteed to come before the user identifier is returned to the application :param user: New data about the user :type user: :class:`User` """ ID: str = Field("updateUser", alias="@type") user: User @staticmethod def read(q: dict) -> UpdateUser: return UpdateUser.construct(**q) class UpdateUserFullInfo(Update): """ Some data in userFullInfo has been changed :param user_id: User identifier :type user_id: :class:`int` :param user_full_info: New full information about the user :type user_full_info: :class:`UserFullInfo` """ ID: str = Field("updateUserFullInfo", alias="@type") user_id: int user_full_info: UserFullInfo @staticmethod def read(q: dict) -> UpdateUserFullInfo: return UpdateUserFullInfo.construct(**q) class UpdateUserPrivacySettingRules(Update): """ Some privacy setting rules have been changed :param setting: The privacy setting :type setting: :class:`UserPrivacySetting` :param rules: New privacy rules :type rules: :class:`UserPrivacySettingRules` """ ID: str = Field("updateUserPrivacySettingRules", alias="@type") setting: UserPrivacySetting rules: UserPrivacySettingRules @staticmethod def read(q: dict) -> UpdateUserPrivacySettingRules: return UpdateUserPrivacySettingRules.construct(**q) class UpdateUserStatus(Update): """ The user went online or offline :param user_id: User identifier :type user_id: :class:`int` :param status: New status of the user :type status: :class:`UserStatus` """ ID: str = Field("updateUserStatus", alias="@type") user_id: int status: UserStatus @staticmethod def read(q: dict) -> UpdateUserStatus: return UpdateUserStatus.construct(**q) class UpdateUsersNearby(Update): """ The list of users nearby has changed. The update is guaranteed to be sent only 60 seconds after a successful searchChatsNearby request :param users_nearby: The new list of users nearby :type users_nearby: :class:`list[ChatNearby]` """ ID: str = Field("updateUsersNearby", alias="@type") users_nearby: list[ChatNearby] @staticmethod def read(q: dict) -> UpdateUsersNearby: return UpdateUsersNearby.construct(**q)

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null

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220e0c7e4d7e7b9e561c692a325977f16ecf70b4

153

py

Python

built-in/TensorFlow/Official/cv/image_classification/ResnetVariant_for_TensorFlow/automl/vega/algorithms/nas/sm_nas/mmdet_meta_cfgs/bbox_head/__init__.py

Huawei-Ascend/modelzoo

df51ed9c1d6dbde1deef63f2a037a369f8554406

[ "Apache-2.0" ]

12

2020-12-13T08:34:24.000Z

2022-03-20T15:17:17.000Z

built-in/TensorFlow/Official/cv/image_classification/ResnetVariant_for_TensorFlow/automl/vega/algorithms/nas/sm_nas/mmdet_meta_cfgs/bbox_head/__init__.py

Huawei-Ascend/modelzoo

df51ed9c1d6dbde1deef63f2a037a369f8554406

[ "Apache-2.0" ]

3

2021-03-31T20:15:40.000Z

2022-02-09T23:50:46.000Z

built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/algorithms/nas/sm_nas/mmdet_meta_cfgs/bbox_head/__init__.py

Huawei-Ascend/modelzoo

df51ed9c1d6dbde1deef63f2a037a369f8554406

[ "Apache-2.0" ]

2

2021-07-10T12:40:46.000Z

2021-12-17T07:55:15.000Z

from .cascade_head import CascadeFCBBoxHead from .convfc_bbox_head import SharedFCBBoxHead __all__ = [ 'CascadeFCBBoxHead', 'SharedFCBBoxHead']

21.857143

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null

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3

22159f4a1c6d6e72ce319e5cebbbcc4d51c13acd

2,205

py

Python

win/devkit/other/pymel/extras/completion/py/maya/app/edl/importExport.py

leegoonz/Maya-devkit

b81fe799b58e854e4ef16435426d60446e975871

[ "ADSL" ]

10

2018-03-30T16:09:02.000Z

2021-12-07T07:29:19.000Z

win/devkit/other/pymel/extras/completion/py/maya/app/edl/importExport.py

leegoonz/Maya-devkit

b81fe799b58e854e4ef16435426d60446e975871

[ "ADSL" ]

null

win/devkit/other/pymel/extras/completion/py/maya/app/edl/importExport.py

leegoonz/Maya-devkit

b81fe799b58e854e4ef16435426d60446e975871

[ "ADSL" ]

9

2018-06-02T09:18:49.000Z

2021-12-20T09:24:35.000Z

import tempfile import maya.OpenMaya as OpenMaya import maya.OpenMayaRender as OpenMayaRender import maya.OpenMayaMPx as OpenMayaMPx import maya.cmds as cmds import maya import re from maya.app.edl.fcp import * class ImportExport(OpenMayaMPx.MPxCommand): def __del__(self): pass def __init__(self): pass class Exporter(ImportExport): def __init__(self): pass def doIt(self, fileName): pass def setAllowPlayblast(self, allow): """ If true, will re-playblast of all shots whose clips are out of date or non-existent. """ pass class Importer(ImportExport): def __init__(self): pass def doIt(self, fileName): """ Reads an EDL file into Maya. Will generate shots, tracks and audio in Maya that corresponds to the tracks and clips in the EDL. """ pass def setStartFrameOverride(self, frame): pass def _setTimeCode(timecode): pass def doExport(fileName, allowPlayblast): """ Exports the Maya sequence using the EDL Exporter class. """ pass def doMel(*args, **kwargs): """ Takes as input a string containing MEL code, evaluates it, and returns the result. This function takes a string which contains MEL code and evaluates it using the MEL interpreter. The result is converted into a Python data type and is returned. If an error occurs during the execution of the MEL script, a Python exception is raised with the appropriate error message. """ pass def audioClipCompare(a, b): pass def _getValidClipObjectName(clipName, isVideo): pass def doImport(fileName, useStartFrameOverride, startFrame): """ Imports the specified file using the EDL Importer class. """ pass def _nameToNode(name): pass def getTimeCode(): pass def videoClipCompare(a, b): pass def getShotsResolution(): """ Returns the video resolution of the sequencer if all the shots have the same resolution Otherwise it returns False, 0, 0 """ pass mayaFrameRates = {}

17.64

92

0.647166

267

2,205

5.273408

0.460674

0.074574

0.023438

0.03196

0.065341

0

0.001274

0.287982

2,205

124

93

17.782258

0.895541

0.372336

0

0.479167

0

1

0.375

false

0.375

0.25

0

0.6875

0

null

0

null

0

1

0

1

0

1

0

3

22189dbba6fcdc9b59fa2a428105a701aaaf4a2f

1,040

py

Python

packages/mcni/python/mcni/instrument_simulator/__init__.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

5

2017-01-16T03:59:47.000Z

2020-06-23T02:54:19.000Z

packages/mcni/python/mcni/instrument_simulator/__init__.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

293

2015-10-29T17:45:52.000Z

2022-01-07T16:31:09.000Z

packages/mcni/python/mcni/instrument_simulator/__init__.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

1

2019-05-25T00:53:31.000Z

#!/usr/bin/env python # # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # # Michael A.G. Aivazis # California Institute of Technology # (C) 2006-2010 All Rights Reserved # # <LicenseText> # # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # ## Note: ## 1. This package depends on dsm def copyright(): return "mcni.instrument_simulators module: Copyright (c) 2006-2010 Jiao Lin"; def simulator(neutron_coordinates_transformer): t = neutron_coordinates_transformer from .AbstractInstrumentSimulator import AbstractInstrumentSimulator as base class Simulator(base): neutron_coordinates_transformer = t pass return Simulator() from mcni.neutron_coordinates_transformers import default as default_neutron_coordinates_transformer default_simulator = simulator( default_neutron_coordinates_transformer ) # version __id__ = "$Id$" # End of file

26.666667

100

0.575

89

1,040

6.494382

0.595506

0.186851

0.250865

0.103806

0

0.020732

0.211538

1,040

38

101

27.368421

0.684146

0.413462

0

0.120135

0.043993

0

1

0.166667

false

0.083333

0.166667

0.083333

0.666667

0

null

0

1

0

null

0

1

0

1

0

3

221baabdac2f34fa39aafcaa192dcd1f1b264104

176

py

Python

week06/lecture/examples/src6/2/uppercase0.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

null

week06/lecture/examples/src6/2/uppercase0.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

null

week06/lecture/examples/src6/2/uppercase0.py

uldash/CS50x

c3ee0f42ad514b57a13c3ffbb96238b3ca3730e1

[ "MIT" ]

null

# Uppercases string one character at a time from cs50 import get_string s = get_string("Before: ") print("After: ", end="") for c in s: print(c.upper(), end="") print()

17.6

43

0.653409

28

176

4.035714

0.714286

0.159292

0

0.013986

0.1875

176

9

44

19.555556

0.776224

0.232955

0

0.120301

0

1

0

false

0

0.166667

0

0.166667

0.5

1

0

null

0

1

0

null

0

1

0

3

223355bd5379be3ac4c24bf1261412562ebdf029

96

py

Python

baekjoon/easy-math/17362-finger.py

honux77/algorithm

2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee

[ "MIT" ]

2

2019-02-08T01:23:07.000Z

2020-11-19T12:23:52.000Z

baekjoon/easy-math/17362-finger.py

honux77/algorithm

2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee

[ "MIT" ]

null

baekjoon/easy-math/17362-finger.py

honux77/algorithm

2ed8cef1fbee7ad96d8f2ae583666d52bd8892ee

[ "MIT" ]

null

n = int(input()) % 8 if n == 0: print(2) elif n <= 5: print(n) else: print(10 - n)

12

20

0.458333

18

96

2.444444

0.666667

0

0.09375

0.333333

96

7

21

13.714286

0.59375

0

1

0

false

0

0.428571

1

0

null

0

1

0

null

0

1

0

3

22574e100d92910a2acaa1fb84cd7d78b47e8242

2,189

py

Python

libs/sqlservice/utils.py

smartadvising/smartadvising-api

74cfcc336c87523fcb011a96bc4506ecdef93afe

[ "MIT" ]

null

libs/sqlservice/utils.py

smartadvising/smartadvising-api

74cfcc336c87523fcb011a96bc4506ecdef93afe

[ "MIT" ]

null

libs/sqlservice/utils.py

smartadvising/smartadvising-api

74cfcc336c87523fcb011a96bc4506ecdef93afe

[ "MIT" ]

null

""" Utilities --------- The utilities module. """ from collections.abc import Mapping, Sequence from functools import wraps import types class FrozenDict(Mapping): """A frozen dictionary implementation that prevents the object from being mutated. This is primarily used when defining a dict-like object as a class attribute that shouldn't be mutated by subclasses. """ def __init__(self, *args, **kwargs): self._dict = dict(*args, **kwargs) def copy(self): return self._dict.copy() def __getitem__(self, key): return self._dict.__getitem__(key) def __contains__(self, item): return self._dict.__contains__(item) def __iter__(self): return self._dict.__iter__() def __len__(self): return self._dict.__len__() def __repr__(self): return '<%s %r>' % (self.__class__.__name__, self._dict) def classonce(meth): """Decorator that executes a class method once, stores the results at the class level, and subsequently returns those results for every future method call. """ @wraps(meth) def decorated(cls, *args, **kargs): cached_attr = '__{0}'.format(meth.__name__) if not hasattr(cls, cached_attr): result = meth(cls, *args, **kargs) setattr(cls, cached_attr, result) return getattr(cls, cached_attr) return decorated def flatten(seq): """Flatten `seq` a single level deep.""" for item in seq: if is_sequence(item): for itm in item: yield itm else: yield item def is_sequence(value): """Test if `value` is a sequence but ``str``. This function is mainly used to determine if `value` can be treated like a ``list`` for iteration purposes. """ return (is_generator(value) or (isinstance(value, Sequence) and not isinstance(value, str))) def is_generator(value): """Return whether `value` is a generator or generator-like.""" return (isinstance(value, types.GeneratorType) or (hasattr(value, '__iter__') and hasattr(value, '__next__') and not hasattr(value, '__getitem__')))

27.708861

79

0.640018

274

2,189

4.817518

0.412409

0.042424

0.05303

0.040909

0

0.000609

0.250343

2,189

78

80

28.064103

0.803778

0.290544

0

0.026334

0

1

0.292683

false

0

0.073171

0.146341

0.634146

0

null

0

null

0

1

0

1

0

3

226437962414de4509b79b7a803dd031ebb02932

361

py

Python

py/2017/3B.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

py/2017/3B.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

py/2017/3B.py

pedrotari7/advent_of_code

98d5bc8d903435624a019a5702f5421d7b4ef8c8

[ "MIT" ]

null

a = 289326 coords = [(1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1), (0, 1), (1, 1)] x,y = (0,0) dx,dy = (1,0) M = {(x,y):1} while M[(x, y)] < a: x, y = x+dx, y+dy M[(x, y)] = sum([M[(x+ox, y+oy)] for ox,oy in coords if (x+ox,y+oy) in M]) if (x == y) or (x > 0 and x == 1-y) or (x < 0 and x == -y): dx, dy = -dy, dx print M[(x, y)]

24.066667

79

0.382271

87

361

1.586207

0.229885

0.115942

0.086957

0.115942

0.246377

0.115942

0

0.116732

0.288089

361

15

80

24.066667

0.420233

0

null

0

null

0.090909

0

1

null

0

1

0

null

0

1

0

3

97db587e34c2af72ba15568d5a03261d228ebb29

3,546

py

Python

test/IECoreRI/All.py

gcodebackups/cortex-vfx

72fa6c6eb3327fce4faf01361c8fcc2e1e892672

[ "BSD-3-Clause" ]

5

2016-07-26T06:09:28.000Z

2022-03-07T03:58:51.000Z

test/IECoreRI/All.py

turbosun/cortex

4bdc01a692652cd562f3bfa85f3dae99d07c0b15

[ "BSD-3-Clause" ]

null

test/IECoreRI/All.py

turbosun/cortex

4bdc01a692652cd562f3bfa85f3dae99d07c0b15

[ "BSD-3-Clause" ]

3

2015-03-25T18:45:24.000Z

2020-02-15T15:37:18.000Z

########################################################################## # # Copyright (c) 2007-2013, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # * Neither the name of Image Engine Design nor the names of any # other contributors to this software may be used to endorse or # promote products derived from this software without specific prior # written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS # IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # ########################################################################## import sys import unittest import IECore import IECoreRI from SLOReader import * from Renderer import * from Instancing import * from PTCParticleReader import * from PTCParticleWriter import * from ArchiveRecord import * from DoubleSided import * from Orientation import * from MultipleContextsTest import * from Camera import * from CurvesTest import * from TextureOrientationTest import * from ArrayPrimVarTest import * from CoordinateSystemTest import * from IlluminateTest import * from SubsurfaceTest import * from PatchMeshTest import * from RIBWriterTest import * from ParameterisedProcedural import * from MotionTest import MotionTest from PythonProceduralTest import PythonProceduralTest from DetailTest import DetailTest from ProceduralThreadingTest import ProceduralThreadingTest from StringArrayParameterTest import StringArrayParameterTest from CoshaderTest import CoshaderTest from GroupTest import GroupTest from DspyTest import DspyTest from RerenderingTest import RerenderingTest if hasattr( IECoreRI, "SXRenderer" ) : from SXRendererTest import SXRendererTest if hasattr( IECoreRI, "GXEvaluator" ) : from GXEvaluatorTest import GXEvaluatorTest if hasattr( IECoreRI, "DTEXDeepImageReader" ) : from DTEXDeepImageReaderTest import TestDTEXDeepImageReader from DTEXDeepImageWriterTest import TestDTEXDeepImageWriter if hasattr( IECoreRI, "SHWDeepImageReader" ) : from SHWDeepImageReaderTest import TestSHWDeepImageReader from SHWDeepImageWriterTest import TestSHWDeepImageWriter if IECore.withFreeType() : from TextTest import * unittest.TestProgram( testRunner = unittest.TextTestRunner( stream = IECore.CompoundStream( [ sys.stderr, open( "test/IECoreRI/resultsPython.txt", "w" ) ] ), verbosity = 2 ) )

36.183673

76

0.758037

394

3,546

6.822335

0.477157

0.070685

0.025298

0.017113

0.068452

0.050595

0

0.003014

0.157924

3,546

97

77

36.556701

0.897187

0.44388

0

0.050251

0.017309

0

1

0

true

0

0.709091

0

0.709091

0

null

0

null

0

1

0

1

0

1

0

3

97e4ff9556a184829362cc46861ffd16d6689ddb

870

py

Python

transit/helpers.py

moredatarequired/python-stitch-client

222ba24e34614d3acecab41cd78a5c78ab8ea782

[ "Apache-2.0" ]

71

2015-01-03T07:55:33.000Z

2021-10-30T16:52:09.000Z

transit/helpers.py

moredatarequired/python-stitch-client

222ba24e34614d3acecab41cd78a5c78ab8ea782

[ "Apache-2.0" ]

27

2015-01-02T06:10:25.000Z

2022-02-20T21:54:13.000Z

transit/helpers.py

moredatarequired/python-stitch-client

222ba24e34614d3acecab41cd78a5c78ab8ea782

[ "Apache-2.0" ]

20

2015-01-05T04:07:52.000Z

2022-02-20T19:08:15.000Z

## Copyright 2014 Cognitect. All Rights Reserved. ## ## Licensed under the Apache License, Version 2.0 (the "License"); ## you may not use this file except in compliance with the License. ## You may obtain a copy of the License at ## ## http://www.apache.org/licenses/LICENSE-2.0 ## ## Unless required by applicable law or agreed to in writing, software ## distributed under the License is distributed on an "AS-IS" BASIS, ## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ## See the License for the specific language governing permissions and ## limitations under the License. import itertools from transit.pyversion import imap, izip def mapcat(f, i): return itertools.chain.from_iterable(imap(f, i)) def pairs(i): return izip(*[iter(i)] * 2) cycle = itertools.cycle def take(n, i): return itertools.islice(i, 0, n)

27.1875

75

0.725287

133

870

4.736842

0.639098

0.095238

0.04127

0.050794

0

0.013908

0.173563

870

31

76

28.064516

0.862309

0.654023

0

1

0.333333

false

0

0.222222

0.333333

0.888889

0

null

0

null

0

1

0

1

0

3

97e73f20826e580f553c50fa8510c0e35ee9a048

365

py

Python

blsqpy/query.py

BLSQ/blsqpy

52fcbd655780e78eccceb2a61280262194c2416c

[ "MIT" ]

null

blsqpy/query.py

BLSQ/blsqpy

52fcbd655780e78eccceb2a61280262194c2416c

[ "MIT" ]

7

2018-12-18T10:11:34.000Z

2019-03-27T07:09:38.000Z

blsqpy/query.py

BLSQ/blsqpy

52fcbd655780e78eccceb2a61280262194c2416c

[ "MIT" ]

2

2018-12-12T12:31:40.000Z

2019-02-25T12:34:48.000Z

import os from jinja2 import Environment, FileSystemLoader QUERIES_DIR = os.path.dirname(os.path.abspath(__file__)) def get_query(query_name, params): j2_env = Environment(loader=FileSystemLoader(QUERIES_DIR+"/queries"), trim_blocks=True) return j2_env.get_template(query_name+'.sql').render(**params)+"\n -- query : "+query_name

36.5

94

0.715068

47

365

5.255319

0.595745

0.109312

0.210526

0

0.009772

0.158904

365

9

95

40.555556

0.794788

0

0.071233

0

1

0.142857

false

0

0.285714

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

3

3f0241d966136442d63f54ae450fa5bbf000c236

883

py

Python

systems/stage.py

will-nickson/starter_system

bce669250fc58c3966c71e84020e078871a79e4f

[ "MIT" ]

null

systems/stage.py

will-nickson/starter_system

bce669250fc58c3966c71e84020e078871a79e4f

[ "MIT" ]

null

systems/stage.py

will-nickson/starter_system

bce669250fc58c3966c71e84020e078871a79e4f

[ "MIT" ]

null

from log.logger import logger class SystemStage(object): """ Default stage object: creates a SystemStage for doing something """ @property def name(self): return "Need to replace name when inheriting" def __repr__(self): return "SystemStage '%s' Try %s.methods()" % ( self.name, self.name, ) def methods(self): return get_methods(self) def system_init(self, system: System): # method called once we have a system self._parent = system # and a log log = system.log.setup(stage=self.name) self._log = log @property def log(self) -> logger: log = getattr(self, "_log", logtoscreen("")) return log @property def parent(self) -> System: parent = getattr(self, "_parent", None) return parent

22.641026

71

0.571914

101

883

4.90099

0.415842

0.066667

0.048485

0

0.327293

883

38

72

23.236842

0.833333

0.124575

0

0.208333

0

0.106383

0

1

0.25

false

0

0.041667

0.125

0.541667

0

null

0

null

0

1

0

1

0

3

3f0acb5cf9be9113370cabc267dfa5dafd6e50f5

895

py

Python

survol/sources_types/oracle/library/__init__.py

AugustinMascarelli/survol

7a822900e82d1e6f016dba014af5741558b78f15

[ "BSD-3-Clause" ]

null

survol/sources_types/oracle/library/__init__.py

AugustinMascarelli/survol

7a822900e82d1e6f016dba014af5741558b78f15

[ "BSD-3-Clause" ]

null

survol/sources_types/oracle/library/__init__.py

AugustinMascarelli/survol

7a822900e82d1e6f016dba014af5741558b78f15

[ "BSD-3-Clause" ]

null

""" Oracle library """ import lib_common from lib_properties import pc def Graphic_colorbg(): return "#CC99FF" def EntityOntology(): return ( ["Db", "Schema", "Library"], ) # Ambiguity with tables, oracle or normal users. def MakeUri(dbName,schemaName,libraryName): return lib_common.gUriGen.UriMakeFromDict("oracle/library", { "Db" : dbName, "Schema" : schemaName, "Library" : libraryName } ) def AddInfo(grph,node,entity_ids_arr): # TODO: SPECIAL. Imported here to avoid circular inclusions, see oracle/package_body/__init__.py from sources_types.oracle import schema as oracle_schema argDb = entity_ids_arr[0] argSchema = entity_ids_arr[1] node_oraschema = oracle_schema.MakeUri( argDb, argSchema ) grph.add( ( node_oraschema, pc.property_oracle_library, node ) ) def EntityName(entity_ids_arr): return entity_ids_arr[0] + "." + entity_ids_arr[1] + "." + entity_ids_arr[2]

28.870968

128

0.750838

120

895

5.35

0.491667

0.098131

0.130841

0.040498

0

0.008974

0.128492

895

30

129

29.833333

0.814103

0.175419

0

0.072702

0

0.033333

0

1

0.3125

false

0

0.1875

0.25

0.75

0

null

0

null

0

1

0

1

0

1

0

3

3f1f9aba8ecf3aa6254017a10062ec1345e2b069

2,943

py

Python

tests/factorys.py

2h4dl/pymilvus

6af6d4922242ae48d90ed5a1afb891d9e4d1540e

[ "Apache-2.0" ]

null

tests/factorys.py

2h4dl/pymilvus

6af6d4922242ae48d90ed5a1afb891d9e4d1540e

[ "Apache-2.0" ]

null

tests/factorys.py

2h4dl/pymilvus

6af6d4922242ae48d90ed5a1afb891d9e4d1540e

[ "Apache-2.0" ]

null

# STL imports import random import logging import string import time import datetime import random import struct import sys from functools import wraps # Third party imports import numpy as np import faker from faker.providers import BaseProvider logging.getLogger('faker').setLevel(logging.ERROR) sys.path.append('.') # grpc from milvus.grpc_gen import milvus_pb2 def gen_vectors(num, dim): return [[random.random() for _ in range(dim)] for _ in range(num)] def gen_single_vector(dim): return [[random.random() for _ in range(dim)]] def gen_vector(nb, d, seed=np.random.RandomState(1234)): xb = seed.rand(nb, d).astype("float32") return xb.tolist() def gen_unique_str(str=None): prefix = "".join(random.choice(string.ascii_letters + string.digits) for _ in range(8)) return prefix if str is None else str + "_" + prefix def get_current_day(): return time.strftime('%Y-%m-%d', time.localtime()) def get_last_day(day): tmp = datetime.datetime.now() - datetime.timedelta(days=day) return tmp.strftime('%Y-%m-%d') def get_next_day(day): tmp = datetime.datetime.now() + datetime.timedelta(days=day) return tmp.strftime('%Y-%m-%d') def gen_long_str(num): string = '' for _ in range(num): char = random.choice('tomorrow') string += char def gen_one_binary(topk): ids = [random.randrange(10000000, 99999999) for _ in range(topk)] distances = [random.random() for _ in range(topk)] return milvus_pb2.TopKQueryResult(struct.pack(str(topk) + 'l', *ids), struct.pack(str(topk) + 'd', *distances)) def gen_nq_binaries(nq, topk): return [gen_one_binary(topk) for _ in range(nq)] def fake_query_bin_result(nq, topk): return gen_nq_binaries(nq, topk) class FakerProvider(BaseProvider): def collection_name(self): return 'collection_names' + str(random.randint(1000, 9999)) def name(self): return 'name' + str(random.randint(1000, 9999)) def dim(self): return random.randint(0, 999) fake = faker.Faker() fake.add_provider(FakerProvider) def collection_name_factory(): return fake.collection_name() def records_factory(dimension, nq): return [[random.random() for _ in range(dimension)] for _ in range(nq)] def binary_records_factory(dimension, nq): def binary_record(bsize): s_m = "abcdefghijklmnopqrstuvwxyz" s_list = [s_m[random.randint(0, 25)] for _ in range(bsize)] s = "".join(s_list) return bytes(s, encoding="ASCII") bs = dimension // 8 return [binary_record(bs) for _ in range(nq)] def integer_factory(nq): return [random.randint(0, 128) for _ in range(nq)] def time_it(func): @wraps(func) def inner(*args, **kwrgs): pref = time.perf_counter() result = func(*args, **kwrgs) delt = time.perf_counter() - pref print(f"[{func.__name__}][{delt:.4}s]") return result return inner

23.357143

115

0.675841

416

2,943

4.622596

0.324519

0.033801

0.067603

0.035361

0.218409

0.156006

0.113365

0.078003

0

0.02267

0.190622

2,943

125

116

23.544

0.784635

0.012232

0

0.051282

0

0.044092

0.018946

0

1

0.269231

false

0

0.166667

0.141026

0.705128

0.012821

0

null

0

null

0

1

0

1

0

3

3f221d9155ff841349fd18bfe1fa0dbaac313b9d

260

py

Python

Algorithms/LCP/29/math1.py

M-Quadra/LeetCode-problems

0cc100aa1e50b02df289f04fe2e0b97239eb9895

[ "MIT" ]

null

Algorithms/LCP/29/math1.py

M-Quadra/LeetCode-problems

0cc100aa1e50b02df289f04fe2e0b97239eb9895

[ "MIT" ]

null

Algorithms/LCP/29/math1.py

M-Quadra/LeetCode-problems

0cc100aa1e50b02df289f04fe2e0b97239eb9895

[ "MIT" ]

null

class Solution: def orchestraLayout(self, num: int, xPos: int, yPos: int) -> int: a, b = (min(xPos, num-1-yPos), 1) if yPos >= xPos else (min(yPos, num-1-xPos), -1) return (4*num*a - 4*a*a - 2*a + b*(xPos+yPos) + (b>>1&1)*4*(num-a-1))%9 + 1

65

90

0.546154

51

260

2.784314

0.372549

0.028169

0.070423

0

0.064039

0.219231

260

4

91

65

0.635468

0

1

0.25

false

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

3f2bff3972bb90e7ea59576e6eccf7d56961ec7e

196

py

Python

Voting/urls.py

Poornartha/Odonata

71e8dfc4e8d93c6ecc1a3a155459b7e43bd28cdb

[ "MIT" ]

null

Voting/urls.py

Poornartha/Odonata

71e8dfc4e8d93c6ecc1a3a155459b7e43bd28cdb

[ "MIT" ]

null

Voting/urls.py

Poornartha/Odonata

71e8dfc4e8d93c6ecc1a3a155459b7e43bd28cdb

[ "MIT" ]

null

from django.urls import path from .views import teams_all, team_vote urlpatterns = [ path('teams/all', teams_all, name="teams_all"), path('teams/<int:pk>', team_vote, name="team_vote"), ]

28

56

0.704082

30

196

4.4

0.466667

0.242424

0

0.137755

196

7

57

28

0.781065

0

0.208122

0

1

0

false

0

0.333333

0

0.333333

0

null

1

0

1

0

null

0

1

0

3

3f348185cd12109292cb8c384d3bec9afb87b02b

193

py

Python

serve.py

haiyoumeiyou/cherrybrigde

f00a0592240b60cc42b895ad194b0273485956d0

[ "BSD-3-Clause" ]

null

serve.py

haiyoumeiyou/cherrybrigde

f00a0592240b60cc42b895ad194b0273485956d0

[ "BSD-3-Clause" ]

null

serve.py

haiyoumeiyou/cherrybrigde

f00a0592240b60cc42b895ad194b0273485956d0

[ "BSD-3-Clause" ]

null

from application import bootstrap bootstrap() if __name__=='__main__': import cherrypy cherrypy.engine.signals.subscribe() cherrypy.engine.start() cherrypy.engine.block()

19.3

39

0.720207

20

193

6.55

0.65

0.320611

0

0.176166

193

10

40

19.3

0.823899

0

0.041237

0

1

0

true

0

0.285714

0

0.285714

0

1

0

null

1

0

null

0

1

0

3

3f473e7173cd4e6d679a1656ee0296fc204724d2

166

py

Python

code/taskB/models.py

nft-appraiser/nft-appraiser-api

6d6495049851afd3d9bfc6969d0e1c9bc430dc81

[ "MIT" ]

null

code/taskB/models.py

nft-appraiser/nft-appraiser-api

6d6495049851afd3d9bfc6969d0e1c9bc430dc81

[ "MIT" ]

null

code/taskB/models.py

nft-appraiser/nft-appraiser-api

6d6495049851afd3d9bfc6969d0e1c9bc430dc81

[ "MIT" ]

null

from django.db import models class TaskB_table(models.Model): img = models.ImageField(upload_to='taskB/', default='defo') pred_price = models. FloatField()

23.714286

63

0.728916

22

166

5.363636

0.818182

0

0.144578

166

6

64

27.666667

0.830986

0

0.060241

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

3f55d1d3db5efaf77627369621529da7de9da985

149

py

Python

wordpress/apps.py

2e2a/django-wordpress

5417d98128ea6ad4308b250fdee65226e7deb628

[ "BSD-3-Clause" ]

1

2021-12-03T19:55:27.000Z

wordpress/apps.py

2e2a/django-wordpress

5417d98128ea6ad4308b250fdee65226e7deb628

[ "BSD-3-Clause" ]

null

wordpress/apps.py

2e2a/django-wordpress

5417d98128ea6ad4308b250fdee65226e7deb628

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig class WordpressAppConfig(AppConfig): name = 'wordpress' default_auto_field = 'django.db.models.AutoField'

24.833333

53

0.771812

17

149

6.647059

0.882353

0

0.14094

149

6

53

24.833333

0.882813

0

0.233333

0.173333

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

3f59a6465e2607784678cb918b686e6250106802

142

py

Python

ex005-antecessorSucessor/005.py

KaiqueCassal/cursoEmVideoPython

9d37563045091e4d558e283d47a5a49378e9df71

[ "MIT" ]

1

2021-08-11T04:38:33.000Z

ex005-antecessorSucessor/005.py

KaiqueCassal/cursoEmVideoPython

9d37563045091e4d558e283d47a5a49378e9df71

[ "MIT" ]

null

ex005-antecessorSucessor/005.py

KaiqueCassal/cursoEmVideoPython

9d37563045091e4d558e283d47a5a49378e9df71

[ "MIT" ]

null

num = int(input('Digite um número inteiro: ')) print(f'O número: {num}' f'\nO antecessor: {num - 1}' f'\nO sucessor: {num + 1}')

23.666667

46

0.56338

22

142

3.636364

0.636364

0.075

0

0.018349

0.232394

142

5

47

28.4

0.715596

0

0.626761

0

1

0

false

0

0.25

1

0

null

0

1

0

1

0

null

0

3

3f6013f8688ca16e27ef6533df61114f0ade964b

22,620

py

Python

rules/check_imported_dlls.py

deptofdefense/SalSA

7ef771398e3d59597bade95d0a23540de0842e2a

[ "MIT" ]

84

2018-01-07T19:43:45.000Z

2021-12-23T14:17:44.000Z

rules/check_imported_dlls.py

deptofdefense/SalSA

7ef771398e3d59597bade95d0a23540de0842e2a

[ "MIT" ]

7

2018-04-02T20:24:28.000Z

2019-06-07T21:48:04.000Z

rules/check_imported_dlls.py

deptofdefense/SalSA

7ef771398e3d59597bade95d0a23540de0842e2a

[ "MIT" ]

18

2017-12-26T19:44:46.000Z

2021-09-13T12:21:02.000Z

""" Align imported dlls/functions to executable functionality. """ import sys # import all supported ordinal decodings from rules.ordinal_mappings import advapi32 from rules.ordinal_mappings import cabinet from rules.ordinal_mappings import comctl32 from rules.ordinal_mappings import mfc42 from rules.ordinal_mappings import msvbvm60 from rules.ordinal_mappings import ntdll from rules.ordinal_mappings import odbc32 from rules.ordinal_mappings import oleaut32 from rules.ordinal_mappings import oledlg from rules.ordinal_mappings import propsys from rules.ordinal_mappings import shell32 from rules.ordinal_mappings import shlwapi from rules.ordinal_mappings import ws2_32 from rules.ordinal_mappings import wsock32 # create ordinal mappings dictionary ords2names = {} ords2names['advapi32.dll'] = advapi32.mapping ords2names['cabinet.dll'] = cabinet.mapping ords2names['comctl32.dll'] = comctl32.mapping ords2names['mfc42.dll'] = mfc42.mapping ords2names['msvbvm60.dll'] = msvbvm60.mapping ords2names['ntdll.dll'] = ntdll.mapping ords2names['odbc32.dll'] = odbc32.mapping ords2names['oleaut32.dll'] = oleaut32.mapping ords2names['oledlg.dll'] = oledlg.mapping ords2names['propsys.dll'] = propsys.mapping ords2names['shell32.dll'] = shell32.mapping ords2names['shlwapi.dll'] = shlwapi.mapping ords2names['ws2_32.dll'] = ws2_32.mapping ords2names['wsock32.dll'] = wsock32.mapping # list of targeted functions and their descriptions targets = { 'accept': 'This function is used to listen for incoming connections. This function indicates that the program will listen for incoming connections on a socket. It is mostly used by malware to communicate with their Command and Communication server.', 'AdjustTokenPrivileges': 'This function is used to enable or disable specific access privileges. In a process injection attack, this function is used by malware to gain additional permissions.', 'AttachThreadInput': 'This function attaches the input processing from one thread to another so that the second thread receives input events such as keyboard and mouse events. Keyloggers and other spyware use this function.', 'bind': 'This function is used to associate a local address to a socket in order to listen for incoming connections.', 'BitBlt': 'This function is used to copy graphic data from one device to another. Spyware sometimes uses this function to capture screenshots.', 'CertOpenSystemStore': 'This function is used to access the certificates stored on the local system.', 'CheckRemoteDebuggerPresent': 'Determines whether the specified process is being debugged. Used by malware to detect and evade reversing.', 'connect': 'This function is used to connect to a remote socket. Malware often uses low-level functionality to connect to a command-and-control server. It is mostly used by malware to communicate with their Command and Communication server.', 'ConnectNamedPipe': 'This function is used to create a server pipe for interprocess communication that will wait for a client pipe to connect. Backdoors and reverse shells sometimes use ConnectNamedPipe to simplify connectivity to a command-and-control server.', 'ControlService': 'This function is used to start, stop, modify, or send a signal to a running service. If malware is using its own malicious service, code needs to be analyzed that implements the service in order to determine the purpose of the call.', 'CreateFile': 'Creates a new file or opens an existing file.', 'CreateFileMapping': 'This function is used to create a handle to a file mapping that loads a file into memory and makes it accessible via memory addresses. Launchers, loaders, and injectors use this function to read and modify PE files.', 'CreateMutex': 'This function creates a mutual exclusion object that can be used by malware to ensure that only a single instance of the malware is running on a system at any given time. Malware often uses fixed names for mutexes, which can be good host-based indicators to detect additional installations of the malware.', 'CreateProcess': 'This function creates and launches a new process. If malware creates a new process, new process needs to be analyzed as well.', 'CreateRemoteThread': 'This function is used to start a thread in a remote process. Launchers and stealth malware use CreateRemoteThread to inject code into a different process.', 'CreateService': 'This function is used to create a service that can be started at boot time. Malware uses CreateService for persistence, stealth, or to load kernel drivers.', 'CreateToolhelp32Snapshot': 'This function is used to create a snapshot of processes, heaps, threads, and modules. Malware often uses this function as part of code that iterates through processes or threads.', 'CryptAcquireContext': 'This function is often the first function used by malware to initialize the use of Windows encryption.', 'DeviceIoControl': 'This function sends a control message from user space to a device driver. Kernel malware that needs to pass information between user space and kernel space often use this function.', 'DllFunctionCall': 'THis function is used to import a DLL within a visual basic executable. This indicates malware with visual basic functionality.', 'EnableExecuteProtectionSupport': 'This function is used to modify the Data Execution Protection (DEP) settings of the host, making it more susceptible to attack.', 'EnumProcesses': 'This function is used to enumerate through running processes on the system. Malware often enumerates through processes to find a process into which to inject.', 'EnumProcessModules': 'This function is used to enumerate the loaded modules (executables and DLLs) for a given process. Malware enumerates through modules when doing an injection.', 'FindFirstFile': 'This function is used to search through a directory and enumerate the file system.', 'FindNextFile': 'This function is used to search through a directory and enumerate the file system.', 'FindResource': 'This function is used to find a resource in an executable or loaded DLL. Malware sometimes uses resources to store strings, configuration information, or other malicious files. If this function is used, then check for an .rsrc section in the malware`s PE header.', 'FindWindow': 'This function is used to search for an open window on the desktop. Sometimes this function is used as an anti-debugging technique to search for OllyDbg windows.', 'FtpOpenFile': 'This function is used to open a file on a remote FTP server.', 'FtpPutFile': 'This function is used to upload a file to remote FTP server.', 'GetAdaptersInfo': 'This function is used to obtain information about the network adapters on the system. Backdoors sometimes call GetAdaptersInfo in the information-gathering phase to gather information about infected machines. In some cases, it`s used to gather MAC addresses to check for VMware as part of anti-virtual machine techniques.', 'GetAsyncKeyState': 'This function is used to determine whether a particular key is being pressed. Malware sometimes uses this function to implement a keylogger.', 'GetClipboardData': 'This function is used to read user clipboard data and is sometimes used in keyloggers.', 'GetDC': 'This function returns a handle to a device context for a window or the whole screen. Spyware that takes screen captures often uses this function.', 'GetForegroundWindow': 'This function returns a handle to the window currently in the foreground of the desktop. Keyloggers commonly use this function to determine in which window the user is entering his keystrokes.', 'gethostbyname': 'This function is used to perform a DNS lookup on a particular hostname prior to making an IP connection to a remote host. Hostnames that serve as command-and-control servers often make good network-based signatures.', 'gethostname': 'This function is used to retrieve the hostname of the computer. Backdoors sometimes use gethostname in information gathering phase of the victim machine.', 'GetKeyState': 'This function is used by keyloggers to obtain the status of a particular key on the keyboard.', 'GetModuleFilename': 'This function returns the filename of a module that is loaded in the current process. Malware can use this function to modify or copy files in the currently running process.', 'GetModuleHandle': 'This function is used to obtain a handle to an already loaded module. Malware may use GetModuleHandle to locate and modify code in a loaded module or to search for a good location to inject code.', 'GetProcAddress': 'This function is used to retrieve the address of a function in a DLL loaded into memory. This is used to import functions from other DLLs in addition to the functions imported in the PE file header.', 'GetStartupInfo': 'This function is used to retrieve a structure containing details about how the current process was configured to run, such as where the standard handles are directed.', 'GetSystemDefaultLangId': 'This function returns the default language settings for the system. These are used by malwares by specifically designed for region-based attacks.', 'GetTempPath': 'This function returns the temporary file path. If malware call this function, check whether it reads or writes any files in the temporary file path.', 'GetThreadContext': 'This function returns the context structure of a given thread. The context for a thread stores all the thread information, such as the register values and current state.', 'GetVersionEx': 'This function returns information about which version of Windows is currently running. This can be used as part of a victim survey, or to select between different offsets for undocumented structures that have changed between different versions of Windows.', 'GetWindowDC': 'This function retrieves the device context (DC) for the entire window, including title bar, menus, and scroll bars. Used to take a screenshot of a particular GUI window (like a browser).', 'GetWindowsDirectory': 'This function returns the file path to the Windows directory (usually C:\\Windows). Malware sometimes uses this call to determine into which directory to install additional malicious programs.', 'GetWindowText': 'This function gets the title of all program windows for the current user. Used to enumerate processes that have a GUI interface.', 'HttpOpenRequest': 'This function sets up the OS resources for an HTTP request.', 'HttpSendRequest': 'This function actually makes an outgoing HTTP connection.', 'inet_addr': 'This function converts an IP address string like 127.0.0.1 so that it can be used by functions such as connect. The string specified can sometimes be used as a network-based signature.', 'InternetOpen': 'This function initializes the high-level Internet access functions from WinINet, such as InternetOpenUrl and InternetReadFile. Searching for InternetOpen is a good way to find the start of Internet access functionality. One of the parameters to InternetOpen is the User-Agent, which can sometimes make a good network-based signature.', 'InternetOpenUrl': 'This function opens a specific URL for a connection using FTP, HTTP, or HTTPS.URLs, if fixed, can often be good network-based signatures.', 'InternetReadFile': 'This function reads data from a previously opened URL.', 'InternetWriteFile': 'This function writes data to a previously opened URL.', 'IsDebuggerPresent': 'Determines whether the calling process is being debugged by a user-mode debugger. Used by malware to detect and evade reversing.', 'IsNTAdmin': 'This function checks if the user has administrator privileges.', 'IsUserAnAdmin': 'This function checks if the user has administrator privileges.', 'IsWoW64Process': 'This function is used by a 32-bit process to determine if it is running on a 64-bit operating system.', 'LdrLoadDll': 'This is a low-level function to load a DLL into a process, just like LoadLibrary. Normal programs use LoadLibrary, and the presence of this import may indicate a program that is attempting to be stealthy.', 'LoadLibrary': 'This is the standard fucntion to load a DLL into a process at runtime.', 'LoadResource': 'This function loads a resource from a PE file into memory. Malware sometimes uses resources to store strings, configuration information, or other malicious files.', 'LsaEnumerateLogonSessions': 'This function is used to enumerate through logon sessions on the current system, which can be used as part of a credential stealer.', 'MapViewOfFile': 'This function is used to map a file into memory and makes the contents of the file accessible via memory addresses. Launchers, loaders, and injectors use this function to read and modify PE files. By using MapViewOfFile, the malware can avoid using WriteFile to modify the contents of a file.', 'MapVirtualKey': 'This function is used to translate a virtual-key code into a character value. It is often used by keylogging malware.', 'Module32First/Module32Next': 'This function is used to enumerate through modules loaded into a process. Injectors use this function to determine where to inject code.', 'NetScheduleJobAdd': 'This function submits a request for a program to be run at a specified date and time. Malware can use NetScheduleJobAdd to run a different program. This is an important indicator to see the program that is scheduled to run at future time.', 'NetShareEnum': 'This function is used to enumerate network shares.', 'NtQueryDirectoryFile': 'This function returns information about files in a directory. Rootkits commonly hook this function in order to hide files.', 'NtQueryInformationProcess': 'This function is used to return various information about a specified process. This function is sometimes used as an anti-debugging technique because it can return the same information as CheckRemoteDebuggerPresent.', 'NtSetInformationProcess': 'This function is used to change the privilege level of a program or to bypass Data Execution Prevention (DEP).', 'OpenMutex': 'This function opens a handle to a mutual exclusion object that can be used by malware to ensure that only a single instance of malware is running on a system at any given time. Malware often uses fixed names for mutexes, which can be good host-based indicators.', 'OpenProcess': 'This function is used to open a handle to another process running on the system. This handle can be used to read and write to the other process memory or to inject code into the other process.', 'OutputDebugString': 'This function is used to output a string to a debugger if one is attached. This can be used as an anti-debugging technique.', 'PeekNamedPipe': 'This function is used to copy data from a named pipe without removing data from the pipe. This function is popular with reverse shells.', 'Process32First': 'This function is used to begin enumerating processes from a previous call to CreateToolhelp32Snapshot. Malware often enumerates through processes to find a process into which to inject.', 'Process32Next': 'This function is used to begin enumerating processes from a previous call to CreateToolhelp32Snapshot. Malware often enumerates through processes to find a process into which to inject.', 'QueueUserAPC': 'This function is used to execute code for a different thread. Malware sometimes uses QueueUserAPC to inject code into another process.', 'ReadProcessMemory': 'This function is used to read the memory of a remote process.', 'recv': 'This function is used to receive data from a remote machine. Malware often uses this function to receive data from a remote command-and-control server.', 'RegCreateKey': 'This function is used to create a handle to a new registry key for reading and editing. Registry keys are sometimes written as a way for software to achieve persistence on a host. The registry also contains a whole host of operating system and application setting information.', 'RegisterHotKey': 'This function is used to register a handler to be notified anytime a user enters a particular key combination (like CTRL-ALT-J), regardless of which window is active when the user presses the key combination. This function is sometimes used by spyware that remains hidden from the user until the key combination is pressed.', 'RegOpenKey': 'This function is used to open a handle to a registry key for reading and editing. Registry keys are sometimes written as a way for software to achieve persistence on a host. The registry also contains a whole host of operating system and application setting information.', 'ResumeThread': 'This function is used to resume a previously suspended thread. ResumeThread is used as part of several injection techniques.', 'RtlCreateRegistryKey': 'This function is used to create a registry from kernel-mode code.', 'RtlWriteRegistryValue': 'This function is used to write a value to the registry from kernel-mode code.', 'SamIConnect': 'This function is used to connect to the Security Account Manager (SAM) in order to make future calls that access credential information. Hash-dumping programs access the SAM database in order to retrieve the hash of users` login passwords.', 'SamIGetPrivateData': 'This function is used to query the private information about a specific user from the Security Account Manager (SAM) database. Hash-dumping programs access the SAM database in order to retrieve the hash of users` login passwords.', 'SamQueryInformationUse': 'This function is used to query information about a specific user in the Security Account Manager (SAM) database. Hash-dumping programs access the SAM database in order to retrieve the hash of users` login passwords.', 'send': 'This function is used to send data to a remote machine. It is often used by malwares to send data to a remote command-and-control server.', 'SetFileTime': 'This function is used to modify the creation, access, or last modified time of a file. Malware often uses this function to conceal malicious activity.', 'SetThreadContext': 'This function is used to modify the context of a given thread. Some injection techniques use SetThreadContext.', 'SetWindowsHookEx': 'This function is used to set a hook function to be called whenever a certain event is called. Commonly used with keyloggers and spyware, this function also provides an easy way to load a DLL into all GUI processes on the system. This function is sometimes added by the compiler.', 'SfcTerminateWatcherThread': 'This function is used to disable Windows file protection and modify files that otherwise would be protected.', 'ShellExecute': 'This function is used to execute another program.', 'StartServiceCtrlDispatcher': 'This function is used by a service to connect the main thread of the process to the service control manager. Any process that runs as a service must call this function within 30 seconds of startup. Locating this function in malware will tell that the function should be run as a service.', 'SQLConnect': 'This function establishes a connection with a driver and data source to allow for data to be shared with the driver/data source.', 'SuspendThread': 'This function is used to suspend a thread so that it stops running. Malware will sometimes suspend a thread in order to modify it by performing code injection.', 'System': 'This function is used to run another program provided by some C runtime libraries. On Windows, this function serves as a wrapper function to CreateProcess.', 'Thread32First/Thread32Next': 'This function is used to iterate through the threads of a process. Injectors use these functions to find an appropriate thread into which to inject.', 'ThunRTMain': 'Thsi function is used as the entry point to a visual basic executable. This indicates malware with visual basic functionality.', 'Toolhelp32ReadProcessMemory': 'This function is used to read the memory of a remote process.', 'URLDownloadToFile': 'This function is used to download a file from a web server and save it to disk. This function is popular with downloaders because it implements all the functionality of a downloader in one function call.', 'VirtualAllocEx': 'This function is a memory-allocation routine that can allocate memory in a remote process. Malware sometimes uses VirtualAllocEx as part of process injection.', 'VirtualProtectEx': 'This function is used to change the protection on a region of memory. Malware may use this function to change a read-only section of memory to an executable.', 'WideCharToMultiByte': 'This function is used to convert a Unicode string into an ASCII string.', 'WinExec': 'This function is used to execute another program.', 'WriteProcessMemory': 'This function is used to write data to a remote process. Malware uses WriteProcessMemory as part of process injection.', 'WSAStartup': 'This function is used to initialize low-level network functionality. Finding calls to WSAStartup can often be an easy way to locate the start of network related functionality.', 'Zombie_AddRef': 'This function is used to make a call to a visual basic subroutine. This indicates malware with visual basic functionality.' } # constant for an unknown import by ordinal ORDINAL_DESC = 'Ordinal is decoded at runtime. To see ordinal mapping, Download the DLL and use the parse_exports() method of the PE class.' def run(peobject): found = [] alerts = [] # search for functionality in imports list for dll in peobject.parse_imports(): # loop through each function in the DLL for f in dll['functions']: name = f['name'] # check for dll import by ordinal and try to resolve it if f['ordinal']: if (dll['dll'].lower() in ords2names) and (f['ordinal'] in ords2names[dll['dll'].lower()]): name = ords2names[dll['dll'].lower()][f['ordinal']] else: # unknown dll with ordinal import target = ''.join(['[', dll['dll'], '] ordinal(', hex(f['ordinal']).rstrip('L'), ') : ', ORDINAL_DESC]) if target not in found: found.append(target) # check for function name in targets match = [k for k in targets if name in k] if match: target = ''.join(['[', dll['dll'], '] ', match[0], ' : ', targets[match[0]]]) if target not in found: found.append(target) # this rule generates only one alert if found: alerts.append({ 'title': 'Suspicious Imports', 'description': 'These are imported functions by the executable that indicate functionality.', 'data': found, 'code': '', }) return alerts

119.052632

354

0.780858

3,349

22,620

5.267244

0.212899

0.090476

0.066667

0.078571

0.335714

0.245578

0.195181

0.15924

0.146315

0.136565

0

0.005852

0.16145

22,620

189

355

119.68254

0.924135

0.020336

0

0.023669

0

0.491124

0.863117

0.02109

0

1

0.005917

false

0.029586

0.130178

0

0.142012

0

null

0

1

0

1

0

null

0

3

3f6f2cf82e789df4f6fa6a684b85e6cb348c35e2

629

py

Python

apps/api/v1/pagination.py

asmuratbek/oobamarket

1053976a13ea84b9aabfcbbcbcffd79549ce9538

[ "MIT" ]

null

apps/api/v1/pagination.py

asmuratbek/oobamarket

1053976a13ea84b9aabfcbbcbcffd79549ce9538

[ "MIT" ]

7

2020-06-05T23:36:01.000Z

2022-01-13T01:42:07.000Z

apps/api/v1/pagination.py

asmuratbek/oobamarket

1053976a13ea84b9aabfcbbcbcffd79549ce9538

[ "MIT" ]

null

from rest_framework.pagination import LimitOffsetPagination, PageNumberPagination class CategoryLimitPagination(PageNumberPagination): page_size = 20 page_size_query_param = 'page_size' max_page_size = 40 class ProductLimitPagination(PageNumberPagination): page_size = 20 page_size_query_param = 'page_size' max_page_size = 40 class ShopLimitPagination(PageNumberPagination): page_size = 21 page_size_query_param = 'page_size' max_page_size = 42 class ShopProductsLimitPagination(PageNumberPagination): page_size = 24 page_size_query_param = 'page_size' max_page_size = 42

24.192308

81

0.779014

71

629

6.492958

0.309859

0.277657

0.24295

0.156182

0.490239

0

0.030534

0.166932

629

25

82

25.16

0.849237

0

0.588235

0

0.057234

0

1

0

false

0

0.058824

0

1

0

null

1

0

null

0

1

0

3

58bb7d04b96141208c9caee423f5f2553e1e7354

390

py

Python

ex29_half.py

youknowone/learn-python3-thw-code-ko

3b7fccaf3eed7427e437004cfe3c4908823f5e41

[ "MIT" ]

null

ex29_half.py

youknowone/learn-python3-thw-code-ko

3b7fccaf3eed7427e437004cfe3c4908823f5e41

[ "MIT" ]

null

ex29_half.py

youknowone/learn-python3-thw-code-ko

3b7fccaf3eed7427e437004cfe3c4908823f5e41

[ "MIT" ]

null

people = 20 cats = 30 dogs = 15 if people < cats: print("고양이가 너무 많아요! 세상은 멸망합니다!") if people > cats: print("고양이가 많지 않아요! 세상은 지속됩니다!") if people < dogs: print("세상은 침에 젖습니다!") if people > dogs: print("세상은 말랐습니다!") dogs += 5 if people >= dogs: print("사람은 개보다 많거나 같습니다") if people <= dogs: print("사람은 개보다 적거나 같습니다.") if people == dogs: print("사람은 개입니다.")

13

36

0.584615

61

390

3.737705

0.42623

0.245614

0.263158

0.372807

0.684211

0.324561

0

0.024476

0.266667

390

29

37

13.448276

0.772727

0

0.282051

0

1

0

false

0

0.388889

0

null

1

0

null

0

3

58f0ab77666277ac6d3ddc06e53dedb0c6d49f2b

1,573

py

Python

classification/tests/test_evidence_mixin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

5

2021-01-14T03:34:42.000Z

2022-03-07T15:34:18.000Z

classification/tests/test_evidence_mixin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

551

2020-10-19T00:02:38.000Z

2022-03-30T02:18:22.000Z

classification/tests/test_evidence_mixin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

null

from classification.models import EvidenceMixin from classification.models.evidence_mixin import VCStore class BasicEvidence(EvidenceMixin): def __init__(self, evidence: VCStore): self.evidence = evidence @property def _evidence(self) -> VCStore: return self.evidence # doesn't work without Transcripts loaded now # class EvidenceMixinTest(TestCase): # # @override_settings(VARIANT_ANNOTATION_TRANSCRIPT_PREFERENCES=['refseq_transcript_accession']) # def test_get_transcript(self): # # if transcript version is in c.hgvs use it # be = BasicEvidence({ # SpecialEKeys.C_HGVS: "NM_020975.5(RET):c.867+48A>G", # SpecialEKeys.REFSEQ_TRANSCRIPT_ID: "NM_020975", # SpecialEKeys.GENOME_BUILD: "GRCh37" # }) # self.assertEqual(be.transcript, "NM_020975.5") # # # if transcript version is in c.hgvs but transcript doesn't match # # value in transcript field, use the raw transcript value # be = BasicEvidence({ # SpecialEKeys.C_HGVS: "NM_020975.5(RET):c.867+48A>G", # SpecialEKeys.REFSEQ_TRANSCRIPT_ID: "NM_033333", # SpecialEKeys.GENOME_BUILD: "GRCh37" # }) # self.assertEqual(be.transcript, "NM_033333") # # # if there is no transcript field, use the contents of c.hgvs # be = BasicEvidence({ # SpecialEKeys.C_HGVS: "NM_020975.5(RET):c.867+48A>G", # SpecialEKeys.GENOME_BUILD: "GRCh37" # }) # self.assertEqual(be.transcript, "NM_020975.5")

37.452381

99

0.650985

180

1,573

5.511111

0.372222

0.030242

0.045363

0.084677

0.467742

0.41129

0.352823

0

0.062029

0.241577

1,573

41

100

38.365854

0.769489

0.769867

0

1

0.25

false

0

0.25

0.125

0.75

0

null

0

null

0

1

0

1

0

3

58fb480ae327d41355b8b8179c7dede058c21b5b

222

py

Python

server/config.py

nikitinivan/Crypton

90db77f4066d763e55f55c0fb540dc99aa2495e3

[ "MIT" ]

null

server/config.py

nikitinivan/Crypton

90db77f4066d763e55f55c0fb540dc99aa2495e3

[ "MIT" ]

null

server/config.py

nikitinivan/Crypton

90db77f4066d763e55f55c0fb540dc99aa2495e3

[ "MIT" ]

null

import os class Configuration: APPLICATION_DIR = os.path.dirname(os.path.realpath(__file__)) DEBUG = True SECRET_KEY = 'thisissecretkeyforcrypton' # change it in production !!! MONGO_DBNAME = 'cryptondb'

24.666667

74

0.725225

25

222

6.16

0.88

0.077922

0

0.18018

222

8

75

27.75

0.846154

0.121622

0

0.176166

0.129534

0

1

0

false

0

0.166667

0

1

0

1

0

null

0

1

0

null

0

1

0

3

45202479629fa2ae422e3a2c76ead8cf08a4c08c

2,004

py

Python

river/compose/renamer.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

1,105

2019-01-24T15:15:30.000Z

2020-11-10T18:27:00.000Z

river/compose/renamer.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

328

2019-01-25T13:48:43.000Z

2020-11-11T11:41:44.000Z

river/compose/renamer.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

150

2019-01-29T19:05:21.000Z

2020-11-11T11:50:14.000Z

from typing import Dict from river import base __all__ = ["Renamer", "Prefixer", "Suffixer"] class Renamer(base.Transformer): """Renames features following substitution rules. Parameters ---------- mapping Dictionnary describing substitution rules. Keys in `mapping` that are not a feature's name are silently ignored. Examples -------- >>> from river import compose >>> mapping = {'a': 'v', 'c': 'o'} >>> x = {'a': 42, 'b': 12} >>> compose.Renamer(mapping).transform_one(x) {'b': 12, 'v': 42} """ def __init__(self, mapping: Dict[str, str]): self.mapping = mapping def transform_one(self, x): for old_key, new_key in self.mapping.items(): try: x[new_key] = x.pop(old_key) except KeyError: pass # Ignoring keys that are not a feature's name return x class Prefixer(base.Transformer): """Prepends a prefix on features names. Parameters ---------- prefix Examples -------- >>> from river import compose >>> x = {'a': 42, 'b': 12} >>> compose.Prefixer('prefix_').transform_one(x) {'prefix_a': 42, 'prefix_b': 12} """ def __init__(self, prefix: str): self.prefix = prefix def _rename(self, s: str) -> str: return f"{self.prefix}{s}" def transform_one(self, x): return {self._rename(i): xi for i, xi in x.items()} class Suffixer(base.Transformer): """Appends a suffix on features names. Parameters ---------- suffix Examples -------- >>> from river import compose >>> x = {'a': 42, 'b': 12} >>> compose.Suffixer('_suffix').transform_one(x) {'a_suffix': 42, 'b_suffix': 12} """ def __init__(self, suffix: str): self.suffix = suffix def _rename(self, s: str) -> str: return f"{s}{self.suffix}" def transform_one(self, x): return {self._rename(i): xi for i, xi in x.items()}

21.094737

120

0.560878

249

2,004

4.369478

0.277108

0.066176

0.055147

0.063419

0.329044

0.283088

0.270221

0.227941

0.178309

0

0.016552

0.276447

2,004

94

121

21.319149

0.733793

0.434132

0

0.259259

0

0.055894

0

1

0.296296

false

0.037037

0.074074

0.148148

0.666667

0

null

0

null

0

1

0

1

0

3

45303096a42f87f1631edf145b0ae0b347d69c0b

753

py

Python

chapter10/exercises/EG10-20 Twinkle Twinkle classes.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

chapter10/exercises/EG10-20 Twinkle Twinkle classes.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

chapter10/exercises/EG10-20 Twinkle Twinkle classes.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

# EG10-20 Twinkle Twinkle classes import time import snaps class Note: def __init__(self, note, duration): self.__note = note self.__duration = duration def play(self): snaps.play_note(self.__note) time.sleep(self.__duration) tune = [Note(note=0, duration=0.4), Note(note=0, duration=0.4), Note(note=7, duration=0.4), Note(note=7, duration=0.4), Note(note=9, duration=0.4), Note(note=9, duration=0.4), Note(note=7, duration=0.8), Note(note=5, duration=0.4), Note(note=5, duration=0.4), Note(note=4, duration=0.4), Note(note=4, duration=0.4), Note(note=2, duration=0.4), Note(note=2, duration=0.4), Note(note=0, duration=0.8)] for note in tune: note.play()

30.12

63

0.622842

125

753

3.648

0.2

0.263158

0.368421

0.578947

0.412281

0

0.077181

0.208499

753

24

64

31.375

0.687919

0.041169

0

1

0.111111

false

0

0.111111

0

0.277778

0

null

1

0

null

0

3

18a1a66ddfc12bbc493302b88cd1fbc01b59d040

71

py

Python

Chapter 01/Chap01_Example1.40.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 01/Chap01_Example1.40.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 01/Chap01_Example1.40.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

#backslash and new line ignored print("one\ two\ three")

14.2

31

0.591549

9

71

4.666667

1

0

0.309859

71

4

32

17.75

0.857143

0.422535

0

1

0

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

3

18b95560e12ae1f8ecbf164d50ad646b8d18c3b3

126

py

Python

contacts/urls.py

HaraDev001/RealEstate-Backend

db2ae8d143bd15fbb49432ae8b14fd3bf8e6dd1c

[ "MIT" ]

2

2021-05-17T18:02:36.000Z

2021-05-17T18:02:44.000Z

contacts/urls.py

HaraDev001/RealEstate-Backend

db2ae8d143bd15fbb49432ae8b14fd3bf8e6dd1c

[ "MIT" ]

null

contacts/urls.py

HaraDev001/RealEstate-Backend

db2ae8d143bd15fbb49432ae8b14fd3bf8e6dd1c

[ "MIT" ]

null

from django.urls import path from .views import ContactCreateView urlpatterns = [ path('',ContactCreateView.as_view()), ]

21

41

0.753968

14

126

6.714286

0.714286

0

0.134921

126

6

42

21

0.862385

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

18bb4104d3cd6b1e910557e18aee65ea9222b8ce

1,124

py

Python

internal/handlers/lebanon.py

fillingthemoon/cartogram-web

58b645bca0c22b9bccdb2a5a8213a5a24a7e5958

[ "MIT" ]

null

internal/handlers/lebanon.py

fillingthemoon/cartogram-web

58b645bca0c22b9bccdb2a5a8213a5a24a7e5958

[ "MIT" ]

20

2019-10-20T11:27:38.000Z

2022-03-12T00:28:17.000Z

internal/handlers/lebanon.py

fillingthemoon/cartogram-web

58b645bca0c22b9bccdb2a5a8213a5a24a7e5958

[ "MIT" ]

16

2019-08-22T04:49:44.000Z

2021-06-09T04:44:57.000Z

import settings import handlers.base_handler import csv class CartogramHandler(handlers.base_handler.BaseCartogramHandler): def get_name(self): return "Lebanon" def get_gen_file(self): return "{}/lbn_processedmap.json".format(settings.CARTOGRAM_DATA_DIR) def validate_values(self, values): if len(values) != 8: return False for v in values: if type(v) != float: return False return True def gen_area_data(self, values): return """1 {} Akkar 2 {} Baalbak-Hermel 3 {} Beirut 4 {} Beqaa 5 {} Mount Lebanon 6 {} Nabatieh 7 {} North 8 {} South""".format(*values) def expect_geojson_output(self): return True def csv_to_area_string_and_colors(self, csvfile): return self.order_by_example(csv.reader(csvfile), "Governorate", 0, 1, 2, 3, ["Akkar","Baalbak-Hermel","Beirut","Beqaa","Mount Lebanon","Nabatieh","North","South"], [0.0 for i in range(0,8)], {"Akkar":"1","Baalbak-Hermel":"2","Beirut":"3","Beqaa":"4","Mount Lebanon":"5","Nabatieh":"6","North":"7","South":"8"})

28.1

319

0.623665

149

1,124

4.57047

0.463087

0.044053

0.0558

0

0.028539

0.220641

1,124

39

320

28.820513

0.748858

0

0.142857

0

0.24911

0.021352

0

1

0.214286

false

0

0.107143

0.178571

0.642857

0

null

0

null

0

1

0

1

0

3

18d8e4a9db3824bc1bf6d57f22782a4ffcc36549

93

py

Python

phr/dnireniec/apps.py

richardqa/django-ex

e5b8585f28a97477150ac5daf5e55c74b70d87da

[ "CC0-1.0" ]

null

phr/dnireniec/apps.py

richardqa/django-ex

e5b8585f28a97477150ac5daf5e55c74b70d87da

[ "CC0-1.0" ]

null

phr/dnireniec/apps.py

richardqa/django-ex

e5b8585f28a97477150ac5daf5e55c74b70d87da

[ "CC0-1.0" ]

null

from django.apps import AppConfig class DnireniecConfig(AppConfig): name = 'dnireniec'

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

18dc89f687d6010723363d00fb4079f119453e21

290

py

Python

tests/jdi_uitests_webtests/main/page_objects/w3c_site/w3c_site.py

jdi-testing/jdi-python

7c0607b97d4d44b27ea8f532d47c68b8dd00e6f7

[ "MIT" ]

5

2020-02-14T10:32:01.000Z

2021-07-22T08:20:28.000Z

tests/jdi_uitests_webtests/main/page_objects/w3c_site/w3c_site.py

jdi-testing/jdi-python

7c0607b97d4d44b27ea8f532d47c68b8dd00e6f7

[ "MIT" ]

54

2018-07-27T14:07:33.000Z

2021-11-08T09:24:16.000Z

tests/jdi_uitests_webtests/main/page_objects/w3c_site/w3c_site.py

jdi-testing/jdi-python

7c0607b97d4d44b27ea8f532d47c68b8dd00e6f7

[ "MIT" ]

1

2021-01-20T14:31:52.000Z

from JDI.web.selenium.elements.composite.web_site import WebSite from tests.jdi_uitests_webtests.main.page_objects.w3c_site.frame_page import FramePage class W3cSite(WebSite): domain = "https://www.w3schools.com" frame_page = FramePage(url="/tags/tag_button.asp", domain=domain)

32.222222

86

0.793103

42

290

5.285714

0.714286

0.081081

0

0.01145

0.096552

290

8

87

36.25

0.835878

0

0.155172

0

1

0

false

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

3

18dcab3c94de533e1fad537525409735b1a45b43

22,917

py

Python

deepx/backend/tensorflow.py

sharadmv/deepx

07470e7a579a63427de1d5ff90b9fd00d3f54b61

[ "MIT" ]

74

2015-11-13T02:26:37.000Z

2021-07-29T11:00:45.000Z

deepx/backend/tensorflow.py

sharadmv/deepx

07470e7a579a63427de1d5ff90b9fd00d3f54b61

[ "MIT" ]

21

2015-12-12T20:33:55.000Z

2019-04-03T02:49:42.000Z

deepx/backend/tensorflow.py

sharadmv/deepx

07470e7a579a63427de1d5ff90b9fd00d3f54b61

[ "MIT" ]

19

2015-11-23T10:07:01.000Z

2021-08-30T17:06:00.000Z

import copy import logging import numpy as np import six import tensorflow as tf from functools import wraps from contextlib import contextmanager from .backend_base import BackendBase, FunctionBase, DeviceDecorator try: from tensorflow.contrib.distributions import fill_triangular except: print("Cannot find fill_triangular") class TensorflowFunction(FunctionBase): def __init__(self, *args, **kwargs): super(TensorflowFunction, self).__init__(*args, **kwargs) with tf.control_dependencies(self.outputs): self.updates = [tf.assign(k, v) for k, v in self.updates] def __call__(self, *inputs): feed_dict = self.feed_dict(*inputs) result = self.session.get_current_session().run(self.outputs + self.updates, feed_dict=feed_dict) if len(self.outputs) == 1: return result[0] return result[:len(self.outputs)] @six.add_metaclass(DeviceDecorator) class TensorflowBackend(BackendBase): def __init__(self, **kwargs): super(TensorflowBackend, self).__init__(**kwargs) self.core = tf self._sessions = [] self.set_default_device(self.gpu() if tf.test.is_gpu_available() else self.cpu()) # General purpose methods @classmethod def use_device(cls, method): @wraps(method) def func(self, *args, **kwargs): with tf.device(self.get_current_device()): result = method(self, *args, **kwargs) return result return func def enable_eager(self): tf.enable_eager_execution() def cpu(self, id=0): return 'cpu/:%u' % id def gpu(self, id=0): return 'gpu/:%u' % id @property def int32(self): return tf.int32 @property def float32(self): return tf.float32 def _placeholder(self, dtype=None, shape=None, name=None): with self._device(self.get_current_device()): return tf.placeholder(dtype, shape=shape, name=name) def _variable(self, initial_value=None, trainable=True, name=None): with self._device(self.get_current_device()): return tf.Variable(initial_value=initial_value, trainable=trainable, name=name) def _device(self, name): return tf.device(name) def create_session(self, graph=None, **kwargs): allow_growth = kwargs.pop('allow_growth', False) config_proto = tf.ConfigProto(**kwargs) config_proto.gpu_options.allow_growth = allow_growth sess = tf.Session(graph=graph, config=config_proto) self._initialize(sess) return sess @contextmanager def session(self, **kwargs): with self.create_session(**kwargs) as sess: self._sessions.append(sess) self._initialize(sess) yield sess self._sessions.pop() def interactive_session(self, graph=None, **kwargs): config_proto = tf.ConfigProto(**kwargs) sess = tf.InteractiveSession(config=config_proto, graph=graph) self._initialize(sess) return sess def get_current_session(self): if len(self._sessions) == 0: raise Exception('No current session') return self._sessions[-1] def _initialize(self, sess): sess.run(tf.local_variables_initializer()) sess.run(tf.global_variables_initializer()) # Unified interface def cast(self, x, dtype): return tf.cast(x, dtype) def dtype(self, x): return x.dtype def shape(self, x): return tf.shape(x) def rank(self, x): return tf.rank(x) def abs(self, x): return tf.abs(x) def set_value(self, x, value): tf.assign(x, np.asarray(value)).op.run(session=self.get_current_session()) def zeros(self, shape, dtype=None, name=None): dtype = dtype or self.floatx() return tf.zeros(shape, dtype=dtype, name=name) def zeros_like(self, x, dtype=None, name=None): return tf.zeros_like(x, dtype=dtype, name=name) def ones(self, shape, dtype=None, name=None): dtype = dtype or self.floatx() return tf.ones(shape, dtype=dtype, name=name) def ones_like(self, x, dtype=None, name=None): return tf.ones_like(x, dtype=dtype, name=name) def random_normal(self, shape, mean=0.0, stddev=1.0, dtype=None, seed=None): dtype = dtype or self.floatx() return tf.random_normal(shape, mean=mean, stddev=stddev, dtype=dtype, seed=seed) def random_truncated_normal(self, shape, mean=0.0, stddev=1.0, dtype=None, seed=None): dtype = dtype or self.floatx() return tf.truncated_normal(shape, mean=mean, stddev=stddev, dtype=dtype, seed=seed) def random_uniform(self, shape, minval=0, maxval=None, dtype=None, seed=None): dtype = dtype or self.floatx() return tf.random_uniform(shape, minval=minval, maxval=maxval, dtype=dtype, seed=seed) def random_binomial(self, shape, p=0.5, dtype=None): dtype = dtype or self.floatx() return tf.where(tf.random_uniform(shape, dtype=dtype) <= p, tf.ones(shape, dtype=dtype), tf.zeros(shape, dtype=dtype)) def random_gamma(self, shape, alpha, beta=None): return tf.random_gamma(shape, alpha, beta=beta) pass def tanh(self, x, name=None): return tf.tanh(x, name=name) def sigmoid(self, x, name=None): return tf.sigmoid(x, name=name) def relu(self, x, alpha=0., name=None): return tf.nn.relu(x, name=name) def softmax(self, x, T=1.0): return tf.nn.softmax(x) def softplus(self, x): return tf.nn.softplus(x) def dropout(self, x, p, seed=None): retain_prob = 1. - p if seed is None: seed = np.random.randint(10e6) return tf.nn.dropout(x * 1., retain_prob, seed=seed) def conv2d(self, x, kernel, strides=(1, 1), border_mode='same', image_shape=None, filter_shape=None): ''' Run on cuDNN if available. border_mode: string, "same" or "valid". dim_ordering: whether to use Theano or TensorFlow dimension ordering in inputs/kernels/ouputs. ''' if border_mode == 'same': padding = 'SAME' elif border_mode == 'valid': padding = 'VALID' else: raise Exception('Invalid border mode: ' + str(border_mode)) # strides = strides# + (1,) if self.floatx() == 'float64': x = tf.cast(x, 'float32') kernel = tf.cast(kernel, 'float32') x = tf.nn.convolution(input=x, filter=kernel, strides=strides, padding=padding, data_format='NHWC') if self.floatx() == 'float64': x = tf.cast(x, 'float64') return x def conv2d_transpose(self, x, kernel, dim_out, strides=(1, 1), border_mode='same'): if border_mode == 'same': padding = 'SAME' elif border_mode == 'valid': padding = 'VALID' else: raise Exception('Invalid border mode: ' + str(border_mode)) output_shape = [self.shape(x)[0]] + list(dim_out) strides = (1,) + strides + (1,) if self.floatx() == 'float64': x = tf.cast(x, 'float32') kernel = tf.cast(kernel, 'float32') x = tf.nn.conv2d_transpose(x, kernel, output_shape, strides, padding=padding) if self.floatx() == 'float64': x = tf.cast(x, 'float64') return x def pool2d(self, x, pool_size, strides=(1, 1), border_mode='valid', pool_mode='max'): ''' pool_size: tuple of 2 integers. strides: tuple of 2 integers. border_mode: one of "valid", "same". dim_ordering: one of "th", "tf". ''' if border_mode == 'same': padding = 'SAME' elif border_mode == 'valid': padding = 'VALID' else: raise Exception('Invalid border mode: ' + str(border_mode)) strides = (1,) + strides + (1,) pool_size = (1,) + pool_size + (1,) if self.floatx() == 'float64': x = tf.cast(x, 'float32') if pool_mode == 'max': x = tf.nn.max_pool(x, pool_size, strides, padding=padding) elif pool_mode == 'avg': x = tf.nn.avg_pool(x, pool_size, strides, padding=padding) else: raise Exception('Invalid pooling mode: ' + str(pool_mode)) if self.floatx() == 'float64': x = tf.cast(x, 'float64') return x def flatten(self, x, leading=1): leading_dim = self.shape(x)[:leading] new_shape = tf.concat([leading_dim, [-1]], 0) return tf.reshape(x, new_shape) def split(self, x, num_splits, axis=None): axis = axis % len(x.get_shape()) return tf.split(x, num_splits, axis=axis) def reshape(self, x, shape): return tf.reshape(x, shape) def sum(self, x, axis=None, keepdims=False): if x.dtype.base_dtype == tf.bool: x = tf.cast(x, self.floatx()) return tf.reduce_sum(x, axis=axis, keepdims=keepdims) def prod(self, x, axis=None, keepdims=False): return tf.reduce_prod(x, axis=axis, keepdims=keepdims) def mean(self, x, axis=None, keepdims=False): if axis is not None and axis < 0: axis = axis % len(x.get_shape()) if x.dtype.base_dtype == tf.bool: x = tf.cast(x, self.floatx()) return tf.reduce_mean(x, axis=axis, keepdims=keepdims) def batch_norm(self, x, beta, gamma): mean, variance = tf.nn.moments(x, [0]) normed = tf.nn.batch_normalization(tf.identity(x), mean, variance, beta, gamma, self.epsilon()) return normed def log(self, x): return tf.log(x) def log1p(self, x): return tf.log1p(x) def exp(self, x): return tf.exp(x) def pow(self, x, a): return tf.pow(x, a) def mul(self, x, y): return tf.multiply(x, y) def sqrt(self, x): x = tf.clip_by_value(x, tf.cast(0., dtype=self.floatx()), tf.cast(np.inf, dtype=self.floatx())) return tf.sqrt(x) def categorical_crossentropy(self, output, target, from_logits=False, axis=-1): if not from_logits: # scale preds so that the class probas of each sample sum to 1 output = output / tf.reduce_sum(output, axis, True) # manual computation of crossentropy output = tf.clip_by_value(output, self.epsilon(), 1. - self.epsilon()) return -tf.reduce_sum(target * tf.log(output), axis) else: return tf.nn.softmax_cross_entropy_with_logits_v2(logits=output, labels=target) def binary_crossentropy(self, output, target, from_logits=False): if from_logits: return tf.nn.sigmoid_cross_entropy_with_logits(labels=target, logits=output) else: raise NotImplementedError def concatenate(self, tensors, axis=-1): return tf.concat(tensors, axis=axis) def sort(self, tensor): values, indices = tf.nn.top_k(-tensor, k=tf.shape(tensor)[0]) return -values, indices def argmin(self, tensor, axis=0): return tf.argmin(tensor, axis=axis) def map(self, function, input): return tf.map_fn(function, input) def rnn(self, step_function, input, initial_states, **kwargs): num_dims = self.rank(input) perm = self.concat([[1, 0], self.range(2, num_dims)]) input = self.transpose(input, perm) def step(state, input_): output, state = step_function(input_, state, **kwargs) return state result = tf.scan(step, input, initial_states)[0] return self.transpose(result, perm) def while_loop(self, condition, body, loop_vars, **kwargs): return tf.while_loop(condition, body, loop_vars) def scan(self, fn, elems, initializer=None): return tf.scan(fn, elems, initializer=initializer, back_prop=True) def logdet(self, A, **kwargs): A = (A + self.matrix_transpose(A)) / 2. term = tf.log(tf.matrix_diag_part(self.cholesky(A, **kwargs))) return 2 * tf.reduce_sum(term, -1) def einsum(self, subscripts, *operands): return tf.einsum(subscripts, *operands) def cholesky(self, A, lower=True, warn=True, correct=False): assert lower is True # Gradient through py_func adapted from https://gist.github.com/harpone/3453185b41d8d985356cbe5e57d67342 def py_func(func, inp, Tout, stateful=True, name=None, grad=None): rnd_name = 'PyFuncGrad' + str(np.random.randint(0, 1E+8)) tf.RegisterGradient(rnd_name)(grad) g = tf.get_default_graph() with g.gradient_override_map({'PyFunc': rnd_name, 'PyFuncStateless': rnd_name}): return tf.py_func(func, inp, Tout, stateful=stateful, name=name) def correction(A): A_new, del_ = A.copy(), 1e-4 while True: try: np.linalg.cholesky(A_new) break except np.linalg.linalg.LinAlgError: if warn: logging.warn('[Cholesky] singular matrix, adding diagonal {}'.format(del_)) A_new = A + del_ * np.eye(A.shape[-1]).astype(self.floatx()) del_ *= 2 return A_new def _correction_grad(op, grad): A = op.inputs[0] return grad if correct: shape = A.get_shape() A = py_func(correction, [A], A.dtype, grad=_correction_grad) A.set_shape(shape) return tf.cholesky(A) # Tensorflow interface def placeholder(self, dtype, shape=None, name=None): return self._placeholder(dtype=dtype, shape=shape, name=name) def variable(self, initial_value=None, trainable=True, name=None): return self._variable(initial_value=initial_value, trainable=trainable, name=name) def assign(self, a, b): return tf.assign(a, b) def to_float(self, x): return tf.cast(x, self.floatx()) def constant(self, value, dtype=None, shape=None): return tf.constant(value, dtype=dtype, shape=shape) def get_shape(self, x): return [a.value for a in tf.convert_to_tensor(x).get_shape()] def get_value(self, variable): return self.get_current_session().run(variable) def concat(self, values, axis=-1): return tf.concat(values, axis=axis) def gather(self, params, indices): return tf.gather(params, indices) def gather_nd(self, params, indices): return tf.gather_nd(params, indices) def equal(self, x, y): return tf.equal(x, y) def logical_and(self, x, y): return tf.logical_and(x, y) def matmul(self, a, b, transpose_a=False, transpose_b=False, a_is_sparse=False, b_is_sparse=False, name=None): return tf.matmul(a, b, transpose_a=transpose_a, transpose_b=transpose_b, a_is_sparse=a_is_sparse, name=name) def trace(self, a): return tf.trace(a) def transpose(self, a, perm=None): return tf.transpose(a, perm=perm) def matrix_transpose(self, a): return tf.matrix_transpose(a) def matrix_diag(self, a): return tf.matrix_diag(a) def matrix_diag_part(self, a): return tf.matrix_diag_part(a) def set_diag(self, input, diagonal): return tf.linalg.set_diag(input, diagonal) def band_part(self, input, num_lower, num_upper): return tf.linalg.band_part(input, num_lower, num_upper) def vec(self, A): A = self.matrix_transpose(A) leading_dim = self.shape(A)[:-2] return self.reshape(A, self.concat([ leading_dim, [-1] ], 0)) def unvec(self, v, m, n): leading_dim = self.shape(v)[:-1] return self.matrix_transpose(self.reshape(v, self.concat([ leading_dim, [n, m] ], 0))) def kronecker(self, A, B): C = (A[..., None, None] * B[..., None, None, :, :]) blocks = [ tf.unstack(a, axis=-3 % len(a.shape)) for a in tf.unstack(C, axis=-4 % len(C.shape)) ] return tf.concat([ tf.concat(a, -1) for a in blocks ], -2) def block_sum(self, X, m, n): leading_dim = self.shape(X)[:-2] block_sum = self.zeros(self.concat([leading_dim, [m, m]], 0)) for i in range(n): block_sum += X[..., i*m:(i+1)*m, i*m:(i+1)*m] return block_sum def block_trace(self, X, m, n): blocks = [] for i in range(n): blocks.append([]) for j in range(n): block = self.trace(X[..., i*m:(i+1)*m, j*m:(j+1)*m]) blocks[-1].append(block) return self.pack([ self.pack([ b for b in block ]) for block in blocks ]) def kronecker_vec(self, X, m, n): leading_dim = tf.shape(X)[:-2] blocks = [] for i in range(n): blocks.append([]) for j in range(m): idx = i * m + j block = tf.matrix_transpose(tf.reshape(X[..., idx, :], tf.concat([leading_dim, [n, m]], 0))) blocks[-1].append(block) return tf.concat([tf.concat(b, -2) for b in blocks], -1) def lower_triangular(self, a): return fill_triangular(a) def matrix_inverse(self, a): return tf.matrix_inverse(a) def expand_dims(self, x, dim=-1): return tf.expand_dims(x, dim) def tile(self, input, multiples): return tf.tile(input, multiples) def gradients(self, loss, variables): return tf.gradients(loss, variables) def square(self, x): return tf.square(x) def clip_by_value(self, x, low, high): return tf.clip_by_value(x, low, high) def stack(self, values, axis=0, name='stack'): return tf.stack(values, axis=axis, name=name) def unstack(self, values, num=None, axis=0, name='unstack'): return tf.unstack(values, num=num, axis=axis, name=name) def pack(self, *args, **kwargs): return self.stack(*args, **kwargs) def unpack(self, *args, **kwargs): return self.unstack(*args, **kwargs) def reduce_max(self, x, axis=None, keepdims=False): return tf.reduce_max(x, axis=axis, keepdims=keepdims) def reduce_logsumexp(self, x, axis=None, keepdims=False): return tf.reduce_logsumexp(x, axis=axis, keepdims=keepdims) def matrix_solve(self, matrix, rhs, adjoint=None): return tf.matrix_solve(matrix, rhs, adjoint=adjoint) # Theano interface def dim(self, x): return len(x.get_shape()) def scalar(self, name=None, dtype=None, shape=[]): dtype = dtype or self.floatx() return self._placeholder(dtype=dtype, shape=shape, name=name) def vector(self, name=None, dtype=None, shape=[None]): dtype = dtype or self.floatx() return self._placeholder(dtype=dtype, shape=shape, name=name) def matrix(self, name=None, dtype=None, shape=[None, None]): dtype = dtype or self.floatx() return self._placeholder(dtype=dtype, shape=shape, name=name) def tensor3(self, name=None, dtype=None, shape=[None, None, None]): dtype = dtype or self.floatx() return self._placeholder(dtype=dtype, shape=shape, name=name) def tensor4(self, name=None, dtype=None, shape=[None, None, None, None]): dtype = dtype or self.floatx() return self._placeholder(dtype=dtype, shape=shape, name=name) def shared(self, value, name=None): return self._variable(initial_value=value, name=name) def arange(self, start, stop=None, step=None): return self.range(start, stop=stop, step=step) def sparse_dot(self, x, y): return tf.sparse_tensor_dense_matmul(x, y) def dot(self, x, y): if len(x.get_shape()) != len(y.get_shape()): len_y = len(y.get_shape()) new_y_shape = tf.concat([tf.shape(x)[:-len_y], tf.shape(y)], 0) y = tf.broadcast_to(y, new_y_shape) return tf.matmul(x, y) def outer(self, x, y): if len(x.get_shape()) == 0: return x * y return x[...,:,None] * y[...,None,:] def eye(self, d, batch_shape=None): return tf.eye(d, batch_shape=batch_shape) def function(self, inputs, outputs, updates=[]): return TensorflowFunction(self, inputs, outputs, updates) def grad(self, loss, variables): return tf.gradients(loss, variables) def sqr(self, x): return tf.square(x) def argmax(self, x, axis=None): return tf.argmax(x, axis=axis) def max(self, x, axis=None, keepdims=False): return tf.reduce_max(x, axis=axis, keepdims=keepdims) def logsumexp(self, x, axis=None, keepdims=False): return tf.reduce_logsumexp(x, axis=axis, keepdims=keepdims) def switch(self, condition, then_expression, else_expression): '''Switches between two operations depending on a scalar value (int or bool). Note that both `then_expression` and `else_expression` should be symbolic tensors of the *same shape*. # Arguments condition: scalar tensor. then_expression: TensorFlow operation. else_expression: TensorFlow operation. ''' return tf.where(condition, then_expression, else_expression) def alloc(self, value, shape, unbroadcast=None, dtype=None): dtype = dtype or self.floatx() vals = tf.fill(tf.stack(shape), np.array(value).astype(dtype)) new_shape = [] for s in shape: if isinstance(s, tf.Tensor): new_shape.append(None) else: new_shape.append(s) vals.set_shape(new_shape) return vals def range(self, start, limit=None, delta=1): if limit is None: return tf.range(start, delta=delta) return tf.range(start, limit, delta=delta) def solve(self, a, b): return tf.matrix_solve(a, b) def one_hot(self, indices, depth): return tf.one_hot(indices, depth) # Science methods def gammaln(self, x): return tf.lgamma(x) def multigammaln(self, a, p): p = self.to_float(p) p_ = self.cast(p, 'int32') a = a[..., None] i = self.to_float(self.range(1, p_ + 1)) term1 = p * (p - 1) / 4. * self.log(np.pi) term2 = self.gammaln(a - (i - 1) / 2.) return term1 + self.sum(term2, axis=-1) def digamma(self, a): return tf.digamma(a)

33.455474

116

0.595322

3,087

22,917

4.307094

0.140266

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0.017374

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false

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0

null

0

null

0

1

0

1

0

3

18dd7f23d5115fd8f4284ee064ed94347d9523f8

497

py

Python

utils/Formatting.py

levindoneto/lmGen

ffe2150ebff577135efa3d65a845dd3b806a94ed

[ "MIT" ]

5

2018-11-17T17:16:24.000Z

2019-10-17T15:16:37.000Z

utils/Formatting.py

levindoneto/lanGen

ffe2150ebff577135efa3d65a845dd3b806a94ed

[ "MIT" ]

6

2018-02-06T23:05:29.000Z

2019-10-14T02:23:38.000Z

utils/Formatting.py

levindoneto/lmGen

ffe2150ebff577135efa3d65a845dd3b806a94ed

[ "MIT" ]

4

2018-10-29T06:37:58.000Z

2019-10-06T13:51:18.000Z

import re ''' Function for Formatting n-grams. @Parameters: Tuple: n-gram to be formatted. @Return: String: formatted gram. ''' def formatGram(ngram): return re.sub("[(',)]", '', str(ngram)) ''' Function for Formatting sentences. @Parameters: Sentence: unformatted sentence. @Return: String: formatted sentence. ''' def formatSentence(sentence): sentence = list(sentence) sentence[0] = sentence[0].upper() sentence = "".join(sentence) return sentence + '.\n'

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0.12766

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497

18

49

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null

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0

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0

1

0

3

18ebf74aba4efdef03b71cc4501701981953cbd1

3,049

py

Python

experiment_wrapper/__init__.py

stonkens/experiment_wrapper

78b02a09d412097834bc81bba4452db1738b99da

[ "MIT" ]

2

2022-03-24T22:31:20.000Z

2022-03-25T03:26:01.000Z

experiment_wrapper/__init__.py

stonkens/experiment_wrapper

78b02a09d412097834bc81bba4452db1738b99da

[ "MIT" ]

null

experiment_wrapper/__init__.py

stonkens/experiment_wrapper

78b02a09d412097834bc81bba4452db1738b99da

[ "MIT" ]

null

from typing import Any, Dict, List class Dynamics: """Provides a template for the functionality required from a dynamics class to interface with the experiment wrapper functionality. A dynamics class must implement the following methods: - n_dims: returns the number of dimensions of the state space - control_dims: returns the number of dimensions of the control space - dt: returns the time step of the dynamics - step: takes in the current state, control and time and returns the next state""" STATES: List[str] CONTROLS: List[str] def __init__(self): self._n_dims: int self._control_dims: int self._dt: float raise RuntimeError("Dynamics is a template class") @property def n_dims(self) -> int: return self._n_dims @property def control_dims(self) -> int: return self._control_dims @property def dt(self) -> float: return self._dt def step(self, x: Any, u: Any, t: float) -> Any: pass class Controller: """Provides a template for the functionality required from a controller class to interface with the experiment wrappper functionality. A controller class must implement the following methods: - __call__: takes in the current state and time and returns the control (note: a function object can be used, e.g.: def nominal_policy(x, t): return L @ x with L the LQR controller matrix""" def __init__(self): raise RuntimeError("Controller is a template class") def __call__(self, x: Any, t: float) -> Any: pass class ExtendedController(Controller): """Provides a template for functionality that is optional called within the experiment wrapper functionality. A controller class (in addition to being callable) can also implement the following methods: - controller_dt: returns the time step of the controller - save_info: takes in the current state, control and time and returns a dictionary of information to be saved for all measurements - save_measurements: takes in the current state, control and time and returns a dictionary of additional measurements to be saved - reset: takes in the current state and resets the controller to an initial state """ def __init__(self): self._controller_dt: float raise RuntimeError("ExtendedController is a template class") @property def controller_dt(self) -> float: return self._controller_dt def save_info(self, x: Any, u: Any, t: float) -> Dict[str, Any]: return {} def save_measurements(self, x: Any, u: Any, t: float) -> Dict[str, Any]: return {} def reset(self, x: Any) -> None: pass from experiment_wrapper.experiment import Experiment, ScenarioList, Controllers from experiment_wrapper.rollout_trajectory import ( RolloutTrajectory, TimeSeriesExperiment, StateSpaceExperiment, ) from experiment_wrapper.experiment_suite import ExperimentSuite __version__ = "1.0.1"

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null

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1

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3

18f342f2a9acba64d1ea5575f081da8b2ad4064d

281

py

Python

nautobot_secrets_providers/urls.py

jifox/nautobot-plugin-secrets-providers

4d6ca51d0c78b4785f78909b04cf7c7b33c02e5d

[ "Apache-2.0" ]

6

2021-12-22T21:26:12.000Z

2022-02-16T10:00:04.000Z

nautobot_secrets_providers/urls.py

jifox/nautobot-plugin-secrets-providers

4d6ca51d0c78b4785f78909b04cf7c7b33c02e5d

[ "Apache-2.0" ]

9

2021-12-14T13:43:13.000Z

2022-03-29T18:49:55.000Z

nautobot_secrets_providers/urls.py

jifox/nautobot-plugin-secrets-providers

4d6ca51d0c78b4785f78909b04cf7c7b33c02e5d

[ "Apache-2.0" ]

2

2022-02-04T19:11:09.000Z

2022-03-22T16:23:31.000Z

"""Django urlpatterns declaration for nautobot_secrets_providers plugin.""" from django.urls import path from nautobot_secrets_providers import views app_name = "nautobot_secrets_providers" urlpatterns = [ path("", views.SecretsProvidersHomeView.as_view(), name="home"), ]

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0

null

0

1

0

3

7a00d530de18db23fd30cafb2ab4bd712d82beb0

379

py

Python

app/main/routes.py

theambidextrous/digitalemployeeapp

2c8b593a590621a34c1fa033a720f1e412c76b96

[ "MIT" ]

null

app/main/routes.py

theambidextrous/digitalemployeeapp

2c8b593a590621a34c1fa033a720f1e412c76b96

[ "MIT" ]

null

app/main/routes.py

theambidextrous/digitalemployeeapp

2c8b593a590621a34c1fa033a720f1e412c76b96

[ "MIT" ]

null

from flask import Blueprint, jsonify, request, redirect, abort, url_for, render_template main = Blueprint('main', __name__) # routes @main.route('/', methods = ['GET']) def Abort(): return redirect(url_for('main.index')) # abort(403) @main.route('/default.tpl', methods = ['GET']) def index(): title = 'DE App' return render_template('dflt.html', title = title)

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null

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1

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7a042b77715a588fe196553691f390b7d45b469f

314

py

Python

arm_control/src/orientation.py

ALxander19/zobov_arm

8b5b322b53a7a0d9c91fcbc720473a2a6e6f5826

[ "BSD-2-Clause" ]

null

arm_control/src/orientation.py

ALxander19/zobov_arm

8b5b322b53a7a0d9c91fcbc720473a2a6e6f5826

[ "BSD-2-Clause" ]

null

arm_control/src/orientation.py

ALxander19/zobov_arm

8b5b322b53a7a0d9c91fcbc720473a2a6e6f5826

[ "BSD-2-Clause" ]

null

# tf.transformations alternative is not yet available in tf2 from tf.transformations import quaternion_from_euler if __name__ == '__main__': # RPY to convert: 90deg, 0, -90deg q = quaternion_from_euler(1.5707, 0, -1.5707) print "The quaternion representation is %s %s %s %s." % (q[0], q[1], q[2], q[3])

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null

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1

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3

7a1abf4048e07e8bc9343e0dfe167284107c6c27

16,752

py

Python

sdk/python/pulumi_aws/ec2/managed_prefix_list.py

jen20/pulumi-aws

172e00c642adc03238f89cc9c5a16b914a77c2b1

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

null

sdk/python/pulumi_aws/ec2/managed_prefix_list.py

jen20/pulumi-aws

172e00c642adc03238f89cc9c5a16b914a77c2b1

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

null

sdk/python/pulumi_aws/ec2/managed_prefix_list.py

jen20/pulumi-aws

172e00c642adc03238f89cc9c5a16b914a77c2b1

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities, _tables from . import outputs from ._inputs import * __all__ = ['ManagedPrefixListArgs', 'ManagedPrefixList'] @pulumi.input_type class ManagedPrefixListArgs: def __init__(__self__, *, address_family: pulumi.Input[str], max_entries: pulumi.Input[int], entries: Optional[pulumi.Input[Sequence[pulumi.Input['ManagedPrefixListEntryArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a ManagedPrefixList resource. :param pulumi.Input[str] address_family: The address family (`IPv4` or `IPv6`) of this prefix list. :param pulumi.Input[int] max_entries: The maximum number of entries that this prefix list can contain. :param pulumi.Input[Sequence[pulumi.Input['ManagedPrefixListEntryArgs']]] entries: Can be specified multiple times for each prefix list entry. Each entry block supports fields documented below. Different entries may have overlapping CIDR blocks, but a particular CIDR should not be duplicated. :param pulumi.Input[str] name: The name of this resource. The name must not start with `com.amazonaws`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to this resource. """ pulumi.set(__self__, "address_family", address_family) pulumi.set(__self__, "max_entries", max_entries) if entries is not None: pulumi.set(__self__, "entries", entries) if name is not None: pulumi.set(__self__, "name", name) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="addressFamily") def address_family(self) -> pulumi.Input[str]: """ The address family (`IPv4` or `IPv6`) of this prefix list. """ return pulumi.get(self, "address_family") @address_family.setter def address_family(self, value: pulumi.Input[str]): pulumi.set(self, "address_family", value) @property @pulumi.getter(name="maxEntries") def max_entries(self) -> pulumi.Input[int]: """ The maximum number of entries that this prefix list can contain. """ return pulumi.get(self, "max_entries") @max_entries.setter def max_entries(self, value: pulumi.Input[int]): pulumi.set(self, "max_entries", value) @property @pulumi.getter def entries(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ManagedPrefixListEntryArgs']]]]: """ Can be specified multiple times for each prefix list entry. Each entry block supports fields documented below. Different entries may have overlapping CIDR blocks, but a particular CIDR should not be duplicated. """ return pulumi.get(self, "entries") @entries.setter def entries(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ManagedPrefixListEntryArgs']]]]): pulumi.set(self, "entries", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of this resource. The name must not start with `com.amazonaws`. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags to assign to this resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class ManagedPrefixList(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, address_family: Optional[pulumi.Input[str]] = None, entries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ManagedPrefixListEntryArgs']]]]] = None, max_entries: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None, __name__=None, __opts__=None): """ Provides a managed prefix list resource. > **NOTE on `max_entries`:** When you reference a Prefix List in a resource, the maximum number of entries for the prefix lists counts as the same number of rules or entries for the resource. For example, if you create a prefix list with a maximum of 20 entries and you reference that prefix list in a security group rule, this counts as 20 rules for the security group. ## Example Usage Basic usage ```python import pulumi import pulumi_aws as aws example = aws.ec2.ManagedPrefixList("example", address_family="IPv4", max_entries=5, entries=[ aws.ec2.ManagedPrefixListEntryArgs( cidr=aws_vpc["example"]["cidr_block"], description="Primary", ), aws.ec2.ManagedPrefixListEntryArgs( cidr=aws_vpc_ipv4_cidr_block_association["example"]["cidr_block"], description="Secondary", ), ], tags={ "Env": "live", }) ``` ## Import Prefix Lists can be imported using the `id`, e.g. ```sh $ pulumi import aws:ec2/managedPrefixList:ManagedPrefixList default pl-0570a1d2d725c16be ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] address_family: The address family (`IPv4` or `IPv6`) of this prefix list. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ManagedPrefixListEntryArgs']]]] entries: Can be specified multiple times for each prefix list entry. Each entry block supports fields documented below. Different entries may have overlapping CIDR blocks, but a particular CIDR should not be duplicated. :param pulumi.Input[int] max_entries: The maximum number of entries that this prefix list can contain. :param pulumi.Input[str] name: The name of this resource. The name must not start with `com.amazonaws`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to this resource. """ ... @overload def __init__(__self__, resource_name: str, args: ManagedPrefixListArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a managed prefix list resource. > **NOTE on `max_entries`:** When you reference a Prefix List in a resource, the maximum number of entries for the prefix lists counts as the same number of rules or entries for the resource. For example, if you create a prefix list with a maximum of 20 entries and you reference that prefix list in a security group rule, this counts as 20 rules for the security group. ## Example Usage Basic usage ```python import pulumi import pulumi_aws as aws example = aws.ec2.ManagedPrefixList("example", address_family="IPv4", max_entries=5, entries=[ aws.ec2.ManagedPrefixListEntryArgs( cidr=aws_vpc["example"]["cidr_block"], description="Primary", ), aws.ec2.ManagedPrefixListEntryArgs( cidr=aws_vpc_ipv4_cidr_block_association["example"]["cidr_block"], description="Secondary", ), ], tags={ "Env": "live", }) ``` ## Import Prefix Lists can be imported using the `id`, e.g. ```sh $ pulumi import aws:ec2/managedPrefixList:ManagedPrefixList default pl-0570a1d2d725c16be ``` :param str resource_name: The name of the resource. :param ManagedPrefixListArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(ManagedPrefixListArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, address_family: Optional[pulumi.Input[str]] = None, entries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ManagedPrefixListEntryArgs']]]]] = None, max_entries: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None, __name__=None, __opts__=None): if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = dict() if address_family is None and not opts.urn: raise TypeError("Missing required property 'address_family'") __props__['address_family'] = address_family __props__['entries'] = entries if max_entries is None and not opts.urn: raise TypeError("Missing required property 'max_entries'") __props__['max_entries'] = max_entries __props__['name'] = name __props__['tags'] = tags __props__['arn'] = None __props__['owner_id'] = None __props__['version'] = None super(ManagedPrefixList, __self__).__init__( 'aws:ec2/managedPrefixList:ManagedPrefixList', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, address_family: Optional[pulumi.Input[str]] = None, arn: Optional[pulumi.Input[str]] = None, entries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ManagedPrefixListEntryArgs']]]]] = None, max_entries: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, owner_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, version: Optional[pulumi.Input[int]] = None) -> 'ManagedPrefixList': """ Get an existing ManagedPrefixList resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] address_family: The address family (`IPv4` or `IPv6`) of this prefix list. :param pulumi.Input[str] arn: The ARN of the prefix list. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ManagedPrefixListEntryArgs']]]] entries: Can be specified multiple times for each prefix list entry. Each entry block supports fields documented below. Different entries may have overlapping CIDR blocks, but a particular CIDR should not be duplicated. :param pulumi.Input[int] max_entries: The maximum number of entries that this prefix list can contain. :param pulumi.Input[str] name: The name of this resource. The name must not start with `com.amazonaws`. :param pulumi.Input[str] owner_id: The ID of the AWS account that owns this prefix list. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to this resource. :param pulumi.Input[int] version: The latest version of this prefix list. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = dict() __props__["address_family"] = address_family __props__["arn"] = arn __props__["entries"] = entries __props__["max_entries"] = max_entries __props__["name"] = name __props__["owner_id"] = owner_id __props__["tags"] = tags __props__["version"] = version return ManagedPrefixList(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="addressFamily") def address_family(self) -> pulumi.Output[str]: """ The address family (`IPv4` or `IPv6`) of this prefix list. """ return pulumi.get(self, "address_family") @property @pulumi.getter def arn(self) -> pulumi.Output[str]: """ The ARN of the prefix list. """ return pulumi.get(self, "arn") @property @pulumi.getter def entries(self) -> pulumi.Output[Optional[Sequence['outputs.ManagedPrefixListEntry']]]: """ Can be specified multiple times for each prefix list entry. Each entry block supports fields documented below. Different entries may have overlapping CIDR blocks, but a particular CIDR should not be duplicated. """ return pulumi.get(self, "entries") @property @pulumi.getter(name="maxEntries") def max_entries(self) -> pulumi.Output[int]: """ The maximum number of entries that this prefix list can contain. """ return pulumi.get(self, "max_entries") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of this resource. The name must not start with `com.amazonaws`. """ return pulumi.get(self, "name") @property @pulumi.getter(name="ownerId") def owner_id(self) -> pulumi.Output[str]: """ The ID of the AWS account that owns this prefix list. """ return pulumi.get(self, "owner_id") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A map of tags to assign to this resource. """ return pulumi.get(self, "tags") @property @pulumi.getter def version(self) -> pulumi.Output[int]: """ The latest version of this prefix list. """ return pulumi.get(self, "version") def translate_output_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

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1

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1

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null

0

3

7a1ed1421848b1354b08c81026945785b3714d10

10,544

py

Python

amy/workshops/migrations/0158_curriculum_workshoprequest.py

code-review-doctor/amy

268c1a199510457891459f3ddd73fcce7fe2b974

[ "MIT" ]

53

2015-01-10T17:39:19.000Z

2019-06-12T17:36:34.000Z

amy/workshops/migrations/0158_curriculum_workshoprequest.py

code-review-doctor/amy

268c1a199510457891459f3ddd73fcce7fe2b974

[ "MIT" ]

1,176

2015-01-02T06:32:47.000Z

2019-06-18T11:57:47.000Z

amy/workshops/migrations/0158_curriculum_workshoprequest.py

code-review-doctor/amy

268c1a199510457891459f3ddd73fcce7fe2b974

[ "MIT" ]

44

2015-01-03T15:08:56.000Z

2019-06-09T05:33:08.000Z

# Generated by Django 2.1.2 on 2018-10-27 15:50 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django_countries.fields class Migration(migrations.Migration): dependencies = [ ('workshops', '0157_auto_20181006_0859'), ] operations = [ migrations.CreateModel( name='Curriculum', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('active', models.BooleanField(default=True)), ('slug', models.CharField(default='', help_text="Use computer-friendly text here, e.g. 'dc-ecology-r'.", max_length=40, unique=True, verbose_name='Curriculum ID')), ('name', models.CharField(default='', help_text="Use user-friendly language, e.g. 'Data Carpentry (Ecology with R)'.", max_length=200, unique=True, verbose_name='Curriculum name')), ('unknown', models.BooleanField(blank=True, default=False, help_text="Mark this curriculum record as 'I don't know yet', or 'Unknown', or 'Not sure yet'. There can be only one such record in the database.", verbose_name='Unknown entry')), ], options={ 'verbose_name': 'Curriculum', 'verbose_name_plural': 'Curricula', }, ), migrations.CreateModel( name='WorkshopRequest', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_at', models.DateTimeField(auto_now_add=True)), ('last_updated_at', models.DateTimeField(auto_now=True, null=True)), ('data_privacy_agreement', models.BooleanField(default=False, verbose_name='I have read and agree to <a href="https://docs.carpentries.org/topic_folders/policies/privacy.html", target="_blank">the data privacy policy</a> of The Carpentries.')), ('code_of_conduct_agreement', models.BooleanField(default=False, verbose_name='I agree to abide by The Carpentries\' <a target="_blank"href="https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html">Code of Conduct</a>.')), ('host_responsibilities', models.BooleanField(default=False, verbose_name='I understand <a href="https://docs.carpentries.org/topic_folders/hosts_instructors/index.html">the responsibilities of the workshop host</a>, including recruiting local helpers to support the workshop (1 helper for every 8-10 learners).')), ('state', models.CharField(choices=[('p', 'Pending'), ('d', 'Discarded'), ('a', 'Accepted')], default='p', max_length=1)), ('personal', models.CharField(max_length=255, verbose_name='Personal (given) name')), ('family', models.CharField(max_length=255, verbose_name='Family name (surname)')), ('email', models.EmailField(max_length=254, verbose_name='Email address')), ('institution_name', models.CharField(blank=True, default='', max_length=255, verbose_name="Name of institution you're affiliated with")), ('institution_department', models.CharField(blank=True, default='', max_length=255, verbose_name='Department/school affiliation (if applicable)')), ('location', models.CharField(default='', help_text='City, province/state.', max_length=255, verbose_name='Location')), ('country', django_countries.fields.CountryField(max_length=2, verbose_name='Country')), ('part_of_conference', models.BooleanField(help_text='We can manage registration and other coordination for our workshop, but not other conference activities.', verbose_name='Is this workshop part of conference or larger event?')), ('conference_details', models.CharField(blank=True, default='', help_text='Name, description (if applicable).', max_length=255, verbose_name='Conference details')), ('preferred_dates', models.CharField(default='', help_text='Because we need to coordinate with instructors, a minimum of 2-3 months lead time is required for workshop planning.', max_length=255, verbose_name='Preferred dates or date range')), ('number_attendees', models.CharField(choices=[('10-40', '10-40 (one room, two instructors)'), ('40-80', '40-80 (two rooms, four instructors)'), ('80-120', '80-120 (three rooms, six instructors)')], default='10-40', help_text="This number doesn't need to be precise, but will help us decide how many instructors your workshop will need. Each workshop must have at least two instructors.", max_length=15, verbose_name='Number of attendees')), ('domains_other', models.CharField(blank=True, default='', max_length=255, verbose_name='Other domains')), ('audience_description', models.TextField(verbose_name='Please describe your anticipated audience, including their experience, background, and goals')), ('organization_type', models.CharField(choices=[('self', 'Self-organized'), ('central', 'Centrally-organized')], default=None, max_length=15, verbose_name='Will this be a self-organized or centrally-organized workshop?')), ('self_organized_github', models.CharField(blank=True, help_text='Please provide URL.', max_length=255, verbose_name='Link to workshop GitHub page')), ('centrally_organized_fee', models.CharField(blank=True, choices=[('', 'Not applicable.'), ('nonprofit', 'I am with a government site, university, or other nonprofit. I understand the workshop fee of US$2500, and agree to follow through on The Carpentries invoicing process.'), ('forprofit', 'I am with a corporate or for-profit site. I understand The Carpentries staff will contact me about workshop fees. I will follow through on The Carpentries invoicing process for the agreed upon fee.'), ('member', 'I am with a Member Organisation so the workshop fee does not apply (Instructor travel costs will still apply).'), ('waiver', 'I am requesting a waiver of the workshop fee (Instructor travel costs will still apply).')], default='', max_length=20, verbose_name='Which of the following applies to your payment for the administrative fee?')), ('waiver_circumstances', models.TextField(blank=True, help_text='Required only if you request a waiver.', verbose_name='Please explain the circumstances for your waiver request')), ('travel_expences_agreement', models.BooleanField(default=False, verbose_name='Regardless of the fee due to The Carpentries, I understand I am also responsible for travel costs for the Instructors which can include airfare, ground travel, hotel, and meals/incidentals. I understand local Instructors will be prioritized but not guaranteed. Instructor travel costs are managed directly between the host site and the Instructors, not through The Carpentries. I will share detailed information regarding policies and procedures for travel arrangements with instructors. All reimbursements will be completed within 60 days of the workshop.')), ('travel_expences_management', models.CharField(choices=[('booked', 'Hotel and airfare will be booked by site; ground travel and meals/incidentals will be reimbursed within 60 days.'), ('reimbursed', 'All expenses will be booked by instructors and reimbursed within 60 days.'), ('', 'Other:')], max_length=20, verbose_name='How will you manage travel expenses for Carpentries Instructors?')), ('travel_expences_management_other', models.CharField(blank=True, default='', max_length=255, verbose_name='Other travel expences management')), ('comment', models.TextField(blank=True, verbose_name='Is there anything else you would like to share with us?')), ('academic_levels', models.ManyToManyField(help_text="If you know the academic level(s) of your attendees, indicate them here.'", to='workshops.AcademicLevel', verbose_name="Attendees' academic level / career stage")), ('assigned_to', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL)), ('computing_levels', models.ManyToManyField(help_text="Indicate the attendees' level of computing experience, if known. We will ask attendees to fill in a skills survey before the workshop, so this answer can be an approximation.", to='workshops.ComputingExperienceLevel', verbose_name="Attendees' level of computing experience")), ('domains', models.ManyToManyField(help_text="The attendees' academic field(s) of study, if known.", to='workshops.KnowledgeDomain', verbose_name='Domains or topic of interest for target audience')), ('institution', models.ForeignKey(blank=True, help_text="If your institution isn't on the list, enter its name in the field below.", null=True, on_delete=django.db.models.deletion.PROTECT, to='workshops.Organization', verbose_name='Institutional affiliation')), ('language', models.ForeignKey(help_text='Our workshops are offered primarily in English, with a few of our lessons available in Spanish. While materials are mainly in English, we know it can be valuable to have an instructor who speaks the native language of the learners. We will attempt to locate Instructors speaking a particular language, but cannot guarantee the availability of non-English speaking Instructors.', on_delete=django.db.models.deletion.PROTECT, to='workshops.Language', verbose_name='Language')), ('requested_workshop_types', models.ManyToManyField(help_text="If your learners are new to programming and primarily interested in working with data, Data Carpentry is likely the best choice. If your learners are interested in learning more about programming, including version control and automation, Software Carpentry is likely the best match. Please visit the <a href='https://software-carpentry.org/lessons/'>Software Carpentry lessons page</a> or the <a href='http://www.datacarpentry.org/lessons/'>Data Carpentry lessons page</a> for more information about any of our lessons. If you’re not sure and would like to discuss with us, please select the 'Not sure' option below.", limit_choices_to={'active': True}, to='workshops.Curriculum', verbose_name='Which Carpentry workshop are you requesting?')), ], options={ 'ordering': ['created_at'], }, ), ]

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null

0

3

e1311759e08a6c90f2dd14452c29543ae793ad35

1,797

py

Python

sap hana/connections and query execution with python/script.py

Phelipe-Sempreboni/databases

3be823db9029994d7b50d23d1830209276e5f40a

[ "MIT" ]

1

2020-10-27T21:50:28.000Z

sap hana/connections and query execution with python/script.py

Phelipe-Sempreboni/databases

3be823db9029994d7b50d23d1830209276e5f40a

[ "MIT" ]

null

sap hana/connections and query execution with python/script.py

Phelipe-Sempreboni/databases

3be823db9029994d7b50d23d1830209276e5f40a

[ "MIT" ]

null

# Importação da biblioteca. # Certifique-se de ter a biblioteca instalada. import pyhdb # Essa função traz/chama outro arquivo que contém a senha, visando não deixar exposta na aplicação. # Caso não queira utilizar esse método e inserir diretamente a senha na conexão, exclua esse bloco e insira a senha diretamente no bloco (def connect) em (passoword). def pass_location(): pass_file = "" # Insira o caminho do arquivo com a senha. file = open(pass_file, 'r') # Leiteura do arquivo com read. return file.read() # Realiza a conexão com o Sap Hana. def connect(): try: connection = pyhdb.connect( host = "", # Insira o server. port=, # Insira a porta, normalmente númerica, caso não seja, utilize o ("") para digitar a localidade da porta. user="", # Insira o usuário. password=pass_location() # Aqui estamos utilizando o bloco (pass_location) que busca a senha em outro arquivo, caso não queira exclua o bloco e insira a senha. ) return connection.cursor() except: return 1 # Executa a query no Sap Hana. def query_exec(): #A query de exemplo abaixo lista 10 instalacoes da tabela de dados mestres de instalacao cursor = connect() cursor.execute("SET SCHEMA SAPBP1") # Insira o schema do banco de dados. cursor.execute("SELECT top 10 "'"/BIC/EPINSTALA"'" \ from "'"SAPBP1"'"."'"/BIC/PEPINSTALA"'" ") # Insira a query. result = cursor.fetchall() # Retorna todos os resultados. cursor.close() # Encerra o cursor. return result if __name__ == '__main__': connect() # Execução a função de conexão. resultado = query_exec() # Executa a função de execução da query. print (resultado) # Imprimi o resultado no terminal.

41.790698

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1,797

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0.030278

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1,797

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41.790698

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0.08

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null

0

null

0

1

0

1

0

1

0

3

e136e8225ad172a851846dc46f34389a3f760935

65

py

Python

1/0/10821/10821.py

chr0m3/boj-codes

d71d0a22d0a3ae62c225f382442461275f56fe8f

[ "MIT" ]

3

2017-07-08T16:29:06.000Z

2020-07-20T00:17:45.000Z

1/0/10821/10821.py

chr0m3/boj-codes

d71d0a22d0a3ae62c225f382442461275f56fe8f

[ "MIT" ]

null

1/0/10821/10821.py

chr0m3/boj-codes

d71d0a22d0a3ae62c225f382442461275f56fe8f

[ "MIT" ]

2

2017-11-20T14:06:06.000Z

2020-07-20T00:17:47.000Z

numbers = list(map(int, input().split(','))) print(len(numbers))

21.666667

44

0.646154

9

65

4.666667

0.888889

0

0.076923

65

2

45

32.5

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0

0.015385

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1

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0.5

1

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null

0

1

0

null

0

1

0

3

e141a2ac84bf3c71baee17e1baf51d264eb93a13

94

py

Python

pyEDAA/OutputFilter/__init__.py

edaa-org/pyEDAA.OutputFilter

ca602c9992b40df7bd117968c0dc333a4f16d255

[ "Apache-2.0" ]

1

2021-12-30T02:49:43.000Z

pyEDAA/OutputFilter/__init__.py

edaa-org/pyEDAA.OutputFilter

ca602c9992b40df7bd117968c0dc333a4f16d255

[ "Apache-2.0" ]

null

pyEDAA/OutputFilter/__init__.py

edaa-org/pyEDAA.OutputFilter

ca602c9992b40df7bd117968c0dc333a4f16d255

[ "Apache-2.0" ]

null

from pyTooling.Decorators import export __version__ = "0.1.0" @export class Filter: pass

9.4

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null

0

1

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3

e15d5e4f994eb2a0d1d81f21279363ad0216ad9f

1,283

py

Python

app/machine_learning/utils.py

jonzxz/project-piscator

588c8b1ac9355f9a82ac449fdbeaa1ef7eb441ef

[ "MIT" ]

null

app/machine_learning/utils.py

jonzxz/project-piscator

588c8b1ac9355f9a82ac449fdbeaa1ef7eb441ef

[ "MIT" ]

null

app/machine_learning/utils.py

jonzxz/project-piscator

588c8b1ac9355f9a82ac449fdbeaa1ef7eb441ef

[ "MIT" ]

1

2021-02-18T03:08:21.000Z

import re import joblib from sklearn.ensemble import RandomForestClassifier from typing import List, Tuple # Cleans up a messed up HTML / tabbed raw content into space delimited content def clean_up_raw_body(raw_text: str) -> str: return ' '.join([line.strip() for line in raw_text.strip().splitlines() \ if line.strip()]) # Flattens a list of tuples for (Sender, SenderDomain) into [Sender, SenderDomain] # By right there SHOULD only be a single pair but kept in list just in case! # Even indexes are Sender and odd indexs are SenderDomains def flatten_from_tuples(list_tupl: List[Tuple]) -> List: return [item for tup in list_tupl for item in tup] # Retrieves a list of [Sender, SenderDomain] and returns domain names only # eg. ['Person', 'Person@Company.com'] # Returns [Company.com] # By right there should only be one entry but kept in list just in case # set list to remove duplicates def identify_domains(list_of_sender_domain_pairs: List): if isinstance(list_of_sender_domain_pairs, list): return list(set([item.split(sep='@')[1] for item \ in list_of_sender_domain_pairs if '@' in item])) return list_of_sender_domain_pairs.split(sep='@')[-1] def load_model(MODEL_NAME) -> RandomForestClassifier: return joblib.load(MODEL_NAME)

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null

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3

e163f95d62fc70e17e021921220d7ea02e910aa6

23,493

py

Python

superslomo/model.py

myungsub/meta-interpolation

f7afee9d1786f67e6f548c2734f91858f803c5dc

[ "MIT" ]

74

2020-04-03T06:26:39.000Z

2022-03-25T16:51:28.000Z

superslomo/model.py

baiksung/meta-interpolation

72dd3b2e56054bb411ed20301583a0e67d9ea293

[ "MIT" ]

6

2020-07-09T20:09:23.000Z

2021-09-20T11:12:24.000Z

superslomo/model.py

baiksung/meta-interpolation

72dd3b2e56054bb411ed20301583a0e67d9ea293

[ "MIT" ]

19

2020-04-16T09:18:38.000Z

2021-12-28T08:25:12.000Z

import torch import torchvision import torchvision.transforms as transforms import torch.optim as optim import torch.nn as nn import torch.nn.functional as F import numpy as np from model_utils import * class down(nn.Module): """ A class for creating neural network blocks containing layers: Average Pooling --> Convlution + Leaky ReLU --> Convolution + Leaky ReLU This is used in the UNet Class to create a UNet like NN architecture. ... Methods ------- forward(x) Returns output tensor after passing input `x` to the neural network block. """ def __init__(self, inChannels, outChannels, filterSize): """ Parameters ---------- inChannels : int number of input channels for the first convolutional layer. outChannels : int number of output channels for the first convolutional layer. This is also used as input and output channels for the second convolutional layer. filterSize : int filter size for the convolution filter. input N would create a N x N filter. """ super(down, self).__init__() # Initialize convolutional layers. # self.conv1 = nn.Conv2d(inChannels, outChannels, filterSize, stride=1, padding=int((filterSize - 1) / 2)) # self.conv2 = nn.Conv2d(outChannels, outChannels, filterSize, stride=1, padding=int((filterSize - 1) / 2)) self.conv1 = MetaConv2dLayer(in_channels=inChannels, out_channels=outChannels, kernel_size=filterSize, stride=1, padding=int((filterSize - 1) / 2)) self.conv2 = MetaConv2dLayer(in_channels=outChannels, out_channels=outChannels, kernel_size=filterSize, stride=1, padding=int((filterSize - 1) / 2)) def forward(self, x, params=None): """ Returns output tensor after passing input `x` to the neural network block. Parameters ---------- x : tensor input to the NN block. Returns ------- tensor output of the NN block. """ # Average pooling with kernel size 2 (2 x 2). x = F.avg_pool2d(x, 2) # (Convolution + Leaky ReLU) x 2 param_dict = dict() if params is not None: param_dict = extract_top_level_dict(current_dict=params) x = F.leaky_relu(self.conv1(x, params=param_dict['conv1']), negative_slope = 0.1) x = F.leaky_relu(self.conv2(x, params=param_dict['conv2']), negative_slope = 0.1) else: x = F.leaky_relu(self.conv1(x), negative_slope = 0.1) x = F.leaky_relu(self.conv2(x), negative_slope = 0.1) return x class up(nn.Module): """ A class for creating neural network blocks containing layers: Bilinear interpolation --> Convlution + Leaky ReLU --> Convolution + Leaky ReLU This is used in the UNet Class to create a UNet like NN architecture. ... Methods ------- forward(x, skpCn) Returns output tensor after passing input `x` to the neural network block. """ def __init__(self, inChannels, outChannels): """ Parameters ---------- inChannels : int number of input channels for the first convolutional layer. outChannels : int number of output channels for the first convolutional layer. This is also used for setting input and output channels for the second convolutional layer. """ super(up, self).__init__() # Initialize convolutional layers. # self.conv1 = nn.Conv2d(inChannels, outChannels, 3, stride=1, padding=1) self.conv1 = MetaConv2dLayer(in_channels=inChannels, out_channels=outChannels, kernel_size=3, stride=1, padding=1) # (2 * outChannels) is used for accommodating skip connection. # self.conv2 = nn.Conv2d(2 * outChannels, outChannels, 3, stride=1, padding=1) self.conv2 = MetaConv2dLayer(in_channels=2 * outChannels, out_channels=outChannels, kernel_size=3, stride=1, padding=1) def forward(self, x, skpCn, params=None): """ Returns output tensor after passing input `x` to the neural network block. Parameters ---------- x : tensor input to the NN block. skpCn : tensor skip connection input to the NN block. Returns ------- tensor output of the NN block. """ # Bilinear interpolation with scaling 2. x = F.interpolate(x, scale_factor=2, mode='bilinear') param_dict = dict() if params is not None: param_dict = extract_top_level_dict(current_dict=params) # Convolution + Leaky ReLU x = F.leaky_relu(self.conv1(x, params=param_dict['conv1']), negative_slope = 0.1) # Convolution + Leaky ReLU on (`x`, `skpCn`) x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1), params=param_dict['conv2']), negative_slope = 0.1) else: # Convolution + Leaky ReLU x = F.leaky_relu(self.conv1(x), negative_slope = 0.1) # Convolution + Leaky ReLU on (`x`, `skpCn`) x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope = 0.1) return x class UNet(nn.Module): """ A class for creating UNet like architecture as specified by the Super SloMo paper. ... Methods ------- forward(x) Returns output tensor after passing input `x` to the neural network block. """ def __init__(self, inChannels, outChannels): """ Parameters ---------- inChannels : int number of input channels for the UNet. outChannels : int number of output channels for the UNet. """ super(UNet, self).__init__() # Initialize neural network blocks. self.conv1 = nn.Conv2d(inChannels, 32, 7, stride=1, padding=3) self.conv2 = nn.Conv2d(32, 32, 7, stride=1, padding=3) self.down1 = down(32, 64, 5) self.down2 = down(64, 128, 3) self.down3 = down(128, 256, 3) self.down4 = down(256, 512, 3) self.down5 = down(512, 512, 3) self.up1 = up(512, 512) self.up2 = up(512, 256) self.up3 = up(256, 128) self.up4 = up(128, 64) self.up5 = up(64, 32) self.conv3 = nn.Conv2d(32, outChannels, 3, stride=1, padding=1) def forward(self, x): """ Returns output tensor after passing input `x` to the neural network. Parameters ---------- x : tensor input to the UNet. Returns ------- tensor output of the UNet. """ x = F.leaky_relu(self.conv1(x), negative_slope = 0.1) s1 = F.leaky_relu(self.conv2(x), negative_slope = 0.1) s2 = self.down1(s1) s3 = self.down2(s2) s4 = self.down3(s3) s5 = self.down4(s4) x = self.down5(s5) x = self.up1(x, s5) x = self.up2(x, s4) x = self.up3(x, s3) x = self.up4(x, s2) x = self.up5(x, s1) x = F.leaky_relu(self.conv3(x), negative_slope = 0.1) return x class backWarp(nn.Module): """ A class for creating a backwarping object. This is used for backwarping to an image: Given optical flow from frame I0 to I1 --> F_0_1 and frame I1, it generates I0 <-- backwarp(F_0_1, I1). ... Methods ------- forward(x) Returns output tensor after passing input `img` and `flow` to the backwarping block. """ def __init__(self, W, H, device): """ Parameters ---------- W : int width of the image. H : int height of the image. device : device computation device (cpu/cuda). """ super(backWarp, self).__init__() # create a grid gridX, gridY = np.meshgrid(np.arange(W), np.arange(H)) self.W = W self.H = H self.gridX = torch.tensor(gridX, requires_grad=False, device=device) self.gridY = torch.tensor(gridY, requires_grad=False, device=device) def forward(self, img, flow): """ Returns output tensor after passing input `img` and `flow` to the backwarping block. I0 = backwarp(I1, F_0_1) Parameters ---------- img : tensor frame I1. flow : tensor optical flow from I0 and I1: F_0_1. Returns ------- tensor frame I0. """ # Extract horizontal and vertical flows. u = flow[:, 0, :, :] v = flow[:, 1, :, :] x = self.gridX.unsqueeze(0).expand_as(u).float() + u y = self.gridY.unsqueeze(0).expand_as(v).float() + v # range -1 to 1 x = 2*(x/self.W - 0.5) y = 2*(y/self.H - 0.5) # stacking X and Y grid = torch.stack((x,y), dim=3) # Sample pixels using bilinear interpolation. imgOut = torch.nn.functional.grid_sample(img, grid) return imgOut # Creating an array of `t` values for the 7 intermediate frames between # reference frames I0 and I1. t = np.linspace(0.125, 0.875, 7) def getFlowCoeff (indices, device): """ Gets flow coefficients used for calculating intermediate optical flows from optical flows between I0 and I1: F_0_1 and F_1_0. F_t_0 = C00 x F_0_1 + C01 x F_1_0 F_t_1 = C10 x F_0_1 + C11 x F_1_0 where, C00 = -(1 - t) x t C01 = t x t C10 = (1 - t) x (1 - t) C11 = -t x (1 - t) Parameters ---------- indices : tensor indices corresponding to the intermediate frame positions of all samples in the batch. device : device computation device (cpu/cuda). Returns ------- tensor coefficients C00, C01, C10, C11. """ # Convert indices tensor to numpy array ind = indices.detach().numpy() C11 = C00 = - (1 - (t[ind])) * (t[ind]) C01 = (t[ind]) * (t[ind]) C10 = (1 - (t[ind])) * (1 - (t[ind])) return torch.Tensor(C00)[None, None, None, :].permute(3, 0, 1, 2).to(device), torch.Tensor(C01)[None, None, None, :].permute(3, 0, 1, 2).to(device), torch.Tensor(C10)[None, None, None, :].permute(3, 0, 1, 2).to(device), torch.Tensor(C11)[None, None, None, :].permute(3, 0, 1, 2).to(device) def getWarpCoeff (indices, device): """ Gets coefficients used for calculating final intermediate frame `It_gen` from backwarped images using flows F_t_0 and F_t_1. It_gen = (C0 x V_t_0 x g_I_0_F_t_0 + C1 x V_t_1 x g_I_1_F_t_1) / (C0 x V_t_0 + C1 x V_t_1) where, C0 = 1 - t C1 = t V_t_0, V_t_1 --> visibility maps g_I_0_F_t_0, g_I_1_F_t_1 --> backwarped intermediate frames Parameters ---------- indices : tensor indices corresponding to the intermediate frame positions of all samples in the batch. device : device computation device (cpu/cuda). Returns ------- tensor coefficients C0 and C1. """ # Convert indices tensor to numpy array ind = indices.detach().numpy() C0 = 1 - t[ind] C1 = t[ind] return torch.Tensor(C0)[None, None, None, :].permute(3, 0, 1, 2).to(device), torch.Tensor(C1)[None, None, None, :].permute(3, 0, 1, 2).to(device) class SuperSloMoModel(nn.Module): def __init__(self, device): super(SuperSloMoModel, self).__init__() self.device = device self.flowComp = UNet(6, 4) self.arbTimeFlowIntrp = UNet(20, 5) self.backwarp = None def forward(self, I0, I1, ind): w, h = I0.size(3), I0.size(2) s = 6 # bits to shift padW, padH = 0, 0 if w != ((w >> s) << s): padW = (((w >> s) + 1) << s) - w if h != ((h >> s) << s): padH = (((h >> s) + 1) << s) - h paddingInput = nn.ReflectionPad2d(padding=[padW // 2, padW - padW // 2, padH // 2, padH - padH // 2]) paddingOutput = nn.ReflectionPad2d(padding=[0 - padW // 2, padW // 2 - padW, 0 - padH // 2, padH // 2 - padH]) I0 = paddingInput(I0) I1 = paddingInput(I1) flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) F_0_1 = flowOut[:, :2, :, :] F_1_0 = flowOut[:, 2:, :, :] fCoeff = getFlowCoeff(ind, self.device) F_t_0 = fCoeff[0] * F_0_1 + fCoeff[1] * F_1_0 F_t_1 = fCoeff[2] * F_0_1 + fCoeff[3] * F_1_0 if self.backwarp is None or self.backwarp.W != I0.size(3) or self.backwarp.H != I0.size(2): self.backwarp = backWarp(I0.size(3), I0.size(2), self.device) # make grid g_I0_F_t_0 = self.backwarp(I0, F_t_0) g_I1_F_t_1 = self.backwarp(I1, F_t_1) intrpOut = self.arbTimeFlowIntrp(torch.cat((I0, I1, F_0_1, F_1_0, F_t_1, F_t_0, g_I1_F_t_1, g_I0_F_t_0), dim=1)) F_t_0_f = intrpOut[:, :2, :, :] + F_t_0 F_t_1_f = intrpOut[:, 2:4, :, :] + F_t_1 V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :]) V_t_1 = 1 - V_t_0 g_I0_F_t_0_f = self.backwarp(I0, F_t_0_f) g_I1_F_t_1_f = self.backwarp(I1, F_t_1_f) wCoeff = getWarpCoeff(ind, self.device) Ft_p = (wCoeff[0] * V_t_0 * g_I0_F_t_0_f + wCoeff[1] * V_t_1 * g_I1_F_t_1_f) / (wCoeff[0] * V_t_0 + wCoeff[1] * V_t_1) warped_I0, warped_I1 = self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1) Ft_p = paddingOutput(Ft_p) F_0_1, F_1_0 = paddingOutput(F_0_1), paddingOutput(F_1_0) g_I0_F_t_0, g_I1_F_t_1 = paddingOutput(g_I0_F_t_0), paddingOutput(g_I1_F_t_1) warped_I0, warped_I1 = paddingOutput(warped_I0), paddingOutput(warped_I1) #return Ft_p, # output image # (F_0_1, F_1_0), # bidirectional flow maps # (g_I0_F_t_0, g_I1_F_t_1), # warped intermediate images # (self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1)) # warped input image (0-1, 1-0) return Ft_p, \ (F_0_1, F_1_0), \ (g_I0_F_t_0, g_I1_F_t_1), \ (warped_I0, warped_I1) # (self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1)) class MetaUNet(nn.Module): """ A class for creating UNet like architecture as specified by the Super SloMo paper. ... Methods ------- forward(x) Returns output tensor after passing input `x` to the neural network block. """ def __init__(self, inChannels, outChannels): """ Parameters ---------- inChannels : int number of input channels for the UNet. outChannels : int number of output channels for the UNet. """ super(MetaUNet, self).__init__() # Initialize neural network blocks. self.conv1 = MetaConv2dLayer(in_channels=inChannels, out_channels=32, kernel_size=7, stride=1, padding=3) self.conv2 = MetaConv2dLayer(in_channels=32, out_channels=32, kernel_size=7, stride=1, padding=3) self.down1 = down(32, 64, 5) self.down2 = down(64, 128, 3) self.down3 = down(128, 256, 3) self.down4 = down(256, 512, 3) self.down5 = down(512, 512, 3) self.up1 = up(512, 512) self.up2 = up(512, 256) self.up3 = up(256, 128) self.up4 = up(128, 64) self.up5 = up(64, 32) self.conv3 = MetaConv2dLayer(in_channels=32, out_channels=outChannels, kernel_size=3, stride=1, padding=1) def forward(self, x, params=None): """ Returns output tensor after passing input `x` to the neural network. Parameters ---------- x : tensor input to the UNet. Returns ------- tensor output of the UNet. """ param_dict = dict() if params is not None: param_dict = extract_top_level_dict(current_dict=params) x = F.leaky_relu(self.conv1(x, params=param_dict['conv1']), negative_slope = 0.1) s1 = F.leaky_relu(self.conv2(x, params=param_dict['conv2']), negative_slope = 0.1) s2 = self.down1(s1, params=param_dict['down1']) s3 = self.down2(s2, params=param_dict['down2']) s4 = self.down3(s3, params=param_dict['down3']) s5 = self.down4(s4, params=param_dict['down4']) x = self.down5(s5, params=param_dict['down5']) x = self.up1(x, s5, params=param_dict['up1']) x = self.up2(x, s4, params=param_dict['up2']) x = self.up3(x, s3, params=param_dict['up3']) x = self.up4(x, s2, params=param_dict['up4']) x = self.up5(x, s1, params=param_dict['up5']) x = F.leaky_relu(self.conv3(x, params=param_dict['conv3']), negative_slope = 0.1) else: x = F.leaky_relu(self.conv1(x), negative_slope = 0.1) s1 = F.leaky_relu(self.conv2(x), negative_slope = 0.1) s2 = self.down1(s1) s3 = self.down2(s2) s4 = self.down3(s3) s5 = self.down4(s4) x = self.down5(s5) x = self.up1(x, s5) x = self.up2(x, s4) x = self.up3(x, s3) x = self.up4(x, s2) x = self.up5(x, s1) x = F.leaky_relu(self.conv3(x), negative_slope = 0.1) return x class MetaSuperSloMo(nn.Module): def __init__(self, device, resume=False): super(MetaSuperSloMo, self).__init__() self.device = device self.flowComp = MetaUNet(6, 4) self.arbTimeFlowIntrp = MetaUNet(20, 5) self.backwarp = None if resume: print('Loading model: pretrained_models/superslomo_base.pth') # checkpoint = torch.load('pretrained_models/meta_superslomo.pth') checkpoint = torch.load('pretrained_models/superslomo_base.pth') self.flowComp.load_state_dict(checkpoint['state_dictFC']) self.arbTimeFlowIntrp.load_state_dict(checkpoint['state_dictAT']) def forward(self, I0, I1, ind=3, params=None, **kwargs): ind = ind * torch.ones(I0.size(0), dtype=int) w, h = I0.size(3), I0.size(2) s = 6 # bits to shift padW, padH = 0, 0 if w != ((w >> s) << s): padW = (((w >> s) + 1) << s) - w if h != ((h >> s) << s): padH = (((h >> s) + 1) << s) - h paddingInput = nn.ReflectionPad2d(padding=[padW // 2, padW - padW // 2, padH // 2, padH - padH // 2]) paddingOutput = nn.ReflectionPad2d(padding=[0 - padW // 2, padW // 2 - padW, 0 - padH // 2, padH // 2 - padH]) I0 = paddingInput(I0) I1 = paddingInput(I1) param_dict = dict() if params is not None: param_dict = extract_top_level_dict(current_dict=params) flowOut = self.flowComp(torch.cat((I0, I1), dim=1), params=param_dict['flowComp']) F_0_1 = flowOut[:, :2, :, :] F_1_0 = flowOut[:, 2:, :, :] fCoeff = getFlowCoeff(ind, self.device) F_t_0 = fCoeff[0] * F_0_1 + fCoeff[1] * F_1_0 F_t_1 = fCoeff[2] * F_0_1 + fCoeff[3] * F_1_0 if self.backwarp is None or self.backwarp.W != I0.size(3) or self.backwarp.H != I0.size(2): self.backwarp = backWarp(I0.size(3), I0.size(2), self.device) # make grid g_I0_F_t_0 = self.backwarp(I0, F_t_0) g_I1_F_t_1 = self.backwarp(I1, F_t_1) intrpOut = self.arbTimeFlowIntrp(torch.cat((I0, I1, F_0_1, F_1_0, F_t_1, F_t_0, g_I1_F_t_1, g_I0_F_t_0), dim=1), params=param_dict['arbTimeFlowIntrp']) else: flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) F_0_1 = flowOut[:, :2, :, :] F_1_0 = flowOut[:, 2:, :, :] fCoeff = getFlowCoeff(ind, self.device) F_t_0 = fCoeff[0] * F_0_1 + fCoeff[1] * F_1_0 F_t_1 = fCoeff[2] * F_0_1 + fCoeff[3] * F_1_0 if self.backwarp is None or self.backwarp.W != I0.size(3) or self.backwarp.H != I0.size(2): self.backwarp = backWarp(I0.size(3), I0.size(2), self.device) # make grid g_I0_F_t_0 = self.backwarp(I0, F_t_0) g_I1_F_t_1 = self.backwarp(I1, F_t_1) intrpOut = self.arbTimeFlowIntrp(torch.cat((I0, I1, F_0_1, F_1_0, F_t_1, F_t_0, g_I1_F_t_1, g_I0_F_t_0), dim=1)) F_t_0_f = intrpOut[:, :2, :, :] + F_t_0 F_t_1_f = intrpOut[:, 2:4, :, :] + F_t_1 V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :]) V_t_1 = 1 - V_t_0 g_I0_F_t_0_f = self.backwarp(I0, F_t_0_f) g_I1_F_t_1_f = self.backwarp(I1, F_t_1_f) wCoeff = getWarpCoeff(ind, self.device) Ft_p = (wCoeff[0] * V_t_0 * g_I0_F_t_0_f + wCoeff[1] * V_t_1 * g_I1_F_t_1_f) / (wCoeff[0] * V_t_0 + wCoeff[1] * V_t_1) warped_I0, warped_I1 = self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1) Ft_p = paddingOutput(Ft_p) F_0_1, F_1_0 = paddingOutput(F_0_1), paddingOutput(F_1_0) g_I0_F_t_0, g_I1_F_t_1 = paddingOutput(g_I0_F_t_0), paddingOutput(g_I1_F_t_1) warped_I0, warped_I1 = paddingOutput(warped_I0), paddingOutput(warped_I1) #return Ft_p, # output image # (F_0_1, F_1_0), # bidirectional flow maps # (g_I0_F_t_0, g_I1_F_t_1), # warped intermediate images # (self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1)) # warped input image (0-1, 1-0) return Ft_p, { 'bidirectional_flow': (F_0_1, F_1_0), 'warped_intermediate_frames': (g_I0_F_t_0, g_I1_F_t_1), 'warped_input_frames': (warped_I0, warped_I1)} # (self.backwarp(I0, F_1_0), self.backwarp(I1, F_0_1)) # return Ft_p def zero_grad(self, params=None): if params is None: for param in self.parameters(): if param.requires_grad == True: if param.grad is not None: if torch.sum(param.grad) > 0: print(param.grad) param.grad.zero_() else: for name, param in params.items(): if param.requires_grad == True: if param.grad is not None: if torch.sum(param.grad) > 0: print(param.grad) param.grad.zero_() params[name].grad = None def restore_backup_stats(self): """ Reset stored batch statistics from the stored backup. """ pass # no batch statistics used

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e177afe5c4e52b6ea7d71deed0bddae35b953491

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py

Python

config.py

zombodotcom/twitchUserData

50c702b832515a946d55c2f5ca79b51436352ef2

[ "MIT", "Unlicense" ]

1

2019-10-22T06:23:56.000Z

config.py

zombodotcom/twitchUserData

50c702b832515a946d55c2f5ca79b51436352ef2

[ "MIT", "Unlicense" ]

null

config.py

zombodotcom/twitchUserData

50c702b832515a946d55c2f5ca79b51436352ef2

[ "MIT", "Unlicense" ]

null

Client_ID = "<Your Client ID>" Authorization = "Bearer <Insert Bearer token Here>"

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e189d16da8174a3b154f79a433e1c07828f194cc

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py

Python

tests/unit/proxy/roundtrip/test_janus_graph_proxy.py

joshthoward/amundsenmetadatalibrary

87e2b44f0e44ca643f087bff6bd6b39d4ae9e9ad

[ "Apache-2.0" ]

3

2021-02-09T13:52:03.000Z

2022-02-26T02:36:02.000Z

tests/unit/proxy/roundtrip/test_janus_graph_proxy.py

joshthoward/amundsenmetadatalibrary

87e2b44f0e44ca643f087bff6bd6b39d4ae9e9ad

[ "Apache-2.0" ]

1

2021-02-08T23:21:04.000Z

tests/unit/proxy/roundtrip/test_janus_graph_proxy.py

joshthoward/amundsenmetadatalibrary

87e2b44f0e44ca643f087bff6bd6b39d4ae9e9ad

[ "Apache-2.0" ]

2

2021-02-23T18:23:35.000Z

2022-03-18T15:12:25.000Z

# Copyright Contributors to the Amundsen project. # SPDX-License-Identifier: Apache-2.0 from typing import Any, Mapping import unittest from .abstract_gremlin_proxy_tests import abstract_gremlin_proxy_test_class from .roundtrip_janusgraph_proxy import RoundtripJanusGraphProxy class JanusGraphGremlinProxyTest( abstract_gremlin_proxy_test_class(), unittest.TestCase): # type: ignore def _create_gremlin_proxy(self, config: Mapping[str, Any]) -> RoundtripJanusGraphProxy: # Don't use PROXY_HOST, PROXY_PORT, PROXY_PASSWORD. They might not be JanusGraph return RoundtripJanusGraphProxy(host=config['JANUS_GRAPH_URL'])

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e1936080a3e49021025bc658618c985bef1143b7

731

py

Python

tgtypes/models/venue.py

autogram/tgtypes

90f8d0d35d3c372767508e56c20777635e128e38

[ "MIT" ]

null

tgtypes/models/venue.py

autogram/tgtypes

90f8d0d35d3c372767508e56c20777635e128e38

[ "MIT" ]

null

tgtypes/models/venue.py

autogram/tgtypes

90f8d0d35d3c372767508e56c20777635e128e38

[ "MIT" ]

null

from __future__ import annotations from typing import TYPE_CHECKING, Optional from ._base import TelegramObject if TYPE_CHECKING: # pragma: no cover from .location import Location class Venue(TelegramObject): """ This object represents a venue. Source: https://core.telegram.org/bots/api#venue """ location: Location """Venue location""" title: str """Name of the venue""" address: str """Address of the venue""" foursquare_id: Optional[str] = None """Foursquare identifier of the venue""" foursquare_type: Optional[str] = None """Foursquare type of the venue. (For example, 'arts_entertainment/default', 'arts_entertainment/aquarium' or 'food/icecream'.)"""

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e197f5d2fbd28b451da6017706229aff6b5fef77

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Python

tests/test_push.py

associatedpress/datakit-dworld

21ccd0e468c7064d62022a2f136c0f8f47bbabb9

[ "ISC" ]

2

2019-09-07T02:03:46.000Z

2021-03-06T14:43:01.000Z

tests/test_push.py

associatedpress/datakit-dworld

21ccd0e468c7064d62022a2f136c0f8f47bbabb9

[ "ISC" ]

5

2019-09-06T22:24:26.000Z

2021-04-27T21:42:18.000Z

tests/test_push.py

associatedpress/datakit-dworld

21ccd0e468c7064d62022a2f136c0f8f47bbabb9

[ "ISC" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # from unittest import mock # from datakit_dworld.push import Push def test_push(capsys): """Sample pytest test function with a built-in pytest fixture as an argument. """ # cmd = Greeting(None, None, cmd_name='dworld push') # parsed_args = mock.Mock() # parsed_args.greeting = 'Hello world!' # cmd.run(parsed_args) # out, err = capsys.readouterr() # assert 'Hello world!' in out

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Python

src/tests/samples.py

BeholdersEye/PyBitmessage

362a975fbf1ec831d3107c7442527225bc140162

[ "MIT", "BSD-2-Clause-FreeBSD" ]

5

2018-03-24T17:33:03.000Z

2019-07-01T07:16:19.000Z

src/tests/samples.py

BeholdersEye/PyBitmessage

362a975fbf1ec831d3107c7442527225bc140162

[ "MIT", "BSD-2-Clause-FreeBSD" ]

15

2018-03-19T00:04:57.000Z

2021-12-10T17:21:54.000Z

src/tests/samples.py

BeholdersEye/PyBitmessage

362a975fbf1ec831d3107c7442527225bc140162

[ "MIT", "BSD-2-Clause-FreeBSD" ]

5

2019-05-15T08:42:57.000Z

2019-09-17T12:21:37.000Z

"""Various sample data""" from binascii import unhexlify magic = 0xE9BEB4D9 # These keys are from addresses test script sample_pubsigningkey = unhexlify( '044a367f049ec16cb6b6118eb734a9962d10b8db59c890cd08f210c43ff08bdf09d' '16f502ca26cd0713f38988a1237f1fc8fa07b15653c996dc4013af6d15505ce') sample_pubencryptionkey = unhexlify( '044597d59177fc1d89555d38915f581b5ff2286b39d022ca0283d2bdd5c36be5d3c' 'e7b9b97792327851a562752e4b79475d1f51f5a71352482b241227f45ed36a9') sample_privsigningkey = \ b'93d0b61371a54b53df143b954035d612f8efa8a3ed1cf842c2186bfd8f876665' sample_privencryptionkey = \ b'4b0b73a54e19b059dc274ab69df095fe699f43b17397bca26fdf40f4d7400a3a' sample_ripe = b'003cd097eb7f35c87b5dc8b4538c22cb55312a9f' # stream: 1, version: 2 sample_address = 'BM-onkVu1KKL2UaUss5Upg9vXmqd3esTmV79' sample_factor = 66858749573256452658262553961707680376751171096153613379801854825275240965733 # G * sample_factor sample_point = ( 33567437183004486938355437500683826356288335339807546987348409590129959362313, 94730058721143827257669456336351159718085716196507891067256111928318063085006 ) sample_seed = 'TIGER, tiger, burning bright. In the forests of the night' # Deterministic addresses with stream 1 and versions 3, 4 sample_deterministic_ripe = b'00cfb69416ae76f68a81c459de4e13460c7d17eb' sample_deterministic_addr3 = 'BM-2DBPTgeSawWYZceFD69AbDT5q4iUWtj1ZN' sample_deterministic_addr4 = 'BM-2cWzSnwjJ7yRP3nLEWUV5LisTZyREWSzUK' sample_daddr3_512 = 18875720106589866286514488037355423395410802084648916523381 sample_daddr4_512 = 25152821841976547050350277460563089811513157529113201589004 sample_statusbar_msg = "new status bar message" sample_inbox_msg_ids = ['27e644765a3e4b2e973ee7ccf958ea20', '51fc5531-3989-4d69-bbb5-68d64b756f5b', '2c975c515f8b414db5eea60ba57ba455', 'bc1f2d8a-681c-4cc0-9a12-6067c7e1ac24'] # second address in sample_test_subscription_address is for the announcement broadcast sample_test_subscription_address = ['BM-2cWQLCBGorT9pUGkYSuGGVr9LzE4mRnQaq', 'BM-GtovgYdgs7qXPkoYaRgrLFuFKz1SFpsw'] sample_subscription_name = 'test sub'

47

115

0.858629

148

2,115

12.047297

0.648649

0.031969

0.024678

0.032529

0

0.404886

0.090307

2,115

44

116

48.068182

0.52183

0.114894

0

0.468851

0.422127

0

0.005371

0

1

0

false

0

0.033333

0

0.033333

0

1

null

0

1

0

1

null

0

3

e1b18b46651e9f66ff6958a9025b0bc1b9f9aca5

3,793

py

Python

capa/features/extractors/ida/extractor.py

pombredanne/capa

b41d23930189c269608d4b705533fa45cf3c064c

[ "Apache-2.0" ]

null

capa/features/extractors/ida/extractor.py

pombredanne/capa

b41d23930189c269608d4b705533fa45cf3c064c

[ "Apache-2.0" ]

null

capa/features/extractors/ida/extractor.py

pombredanne/capa

b41d23930189c269608d4b705533fa45cf3c064c

[ "Apache-2.0" ]

null

# Copyright (C) 2020 FireEye, Inc. All Rights Reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: [package root]/LICENSE.txt # 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 idaapi import capa.ida.helpers import capa.features.extractors.elf import capa.features.extractors.ida.file import capa.features.extractors.ida.insn import capa.features.extractors.ida.global_ import capa.features.extractors.ida.function import capa.features.extractors.ida.basicblock from capa.features.extractors.base_extractor import FeatureExtractor class FunctionHandle: """this acts like an idaapi.func_t but with __int__()""" def __init__(self, inner): self._inner = inner def __int__(self): return self.start_ea def __getattr__(self, name): return getattr(self._inner, name) class BasicBlockHandle: """this acts like an idaapi.BasicBlock but with __int__()""" def __init__(self, inner): self._inner = inner def __int__(self): return self.start_ea def __getattr__(self, name): return getattr(self._inner, name) class InstructionHandle: """this acts like an idaapi.insn_t but with __int__()""" def __init__(self, inner): self._inner = inner def __int__(self): return self.ea def __getattr__(self, name): return getattr(self._inner, name) class IdaFeatureExtractor(FeatureExtractor): def __init__(self): super(IdaFeatureExtractor, self).__init__() self.global_features = [] self.global_features.extend(capa.features.extractors.ida.global_.extract_os()) self.global_features.extend(capa.features.extractors.ida.global_.extract_arch()) def get_base_address(self): return idaapi.get_imagebase() def extract_global_features(self): yield from self.global_features def extract_file_features(self): yield from capa.features.extractors.ida.file.extract_features() def get_functions(self): import capa.features.extractors.ida.helpers as ida_helpers # data structure shared across functions yielded here. # useful for caching analysis relevant across a single workspace. ctx = {} # ignore library functions and thunk functions as identified by IDA for f in ida_helpers.get_functions(skip_thunks=True, skip_libs=True): setattr(f, "ctx", ctx) yield FunctionHandle(f) @staticmethod def get_function(ea): f = idaapi.get_func(ea) setattr(f, "ctx", {}) return FunctionHandle(f) def extract_function_features(self, f): yield from capa.features.extractors.ida.function.extract_features(f) def get_basic_blocks(self, f): import capa.features.extractors.ida.helpers as ida_helpers for bb in ida_helpers.get_function_blocks(f): yield BasicBlockHandle(bb) def extract_basic_block_features(self, f, bb): yield from capa.features.extractors.ida.basicblock.extract_features(f, bb) def get_instructions(self, f, bb): import capa.features.extractors.ida.helpers as ida_helpers for insn in ida_helpers.get_instructions_in_range(bb.start_ea, bb.end_ea): yield InstructionHandle(insn) def extract_insn_features(self, f, bb, insn): yield from capa.features.extractors.ida.insn.extract_features(f, bb, insn)

33.566372

111

0.714474

501

3,793

5.177645

0.285429

0.074017

0.135698

0.134927

0.398612

0.293369

0.240941

0.221665

0

0.00198

0.200896

3,793

112

33.866071

0.853844

0.237016

0

0.298507

0

0.002091

0

1

0.298507

false

0

0.179104

0.104478

0.656716

0

null

0

null

0

1

0

1

0

3

e1c0ee31e7c392fd9a301672456d03f86541b8f3

265

py

Python

modules/python3/tests/unittests/scripts/glm.py

ImagiaViz/inviwo

a00bb6b0551bc1cf26dc0366c827c1a557a9603d

[ "BSD-2-Clause" ]

349

2015-01-30T09:21:52.000Z

2022-03-25T03:10:02.000Z

modules/python3/tests/unittests/scripts/glm.py

ImagiaViz/inviwo

a00bb6b0551bc1cf26dc0366c827c1a557a9603d

[ "BSD-2-Clause" ]

641

2015-09-23T08:54:06.000Z

2022-03-23T09:50:55.000Z

modules/python3/tests/unittests/scripts/glm.py

ImagiaViz/inviwo

a00bb6b0551bc1cf26dc0366c827c1a557a9603d

[ "BSD-2-Clause" ]

124

2015-02-27T23:45:02.000Z

2022-02-21T09:37:14.000Z

import inviwopy from inviwopy.glm import * v1 = vec3(1,2,3) v2 = size2_t(4,5) m1 = mat4(1) m2 = mat3(0,1,0,-1,0,0,0,0,2) v3 = m2 * v1 v4 = vec4(1,2,3,4) w = v4.w a = v4.a q = v4.q z = v4.z b = v4.b p = v4.p y = v4.y g = v4.g t = v4.t x = v4.x r = v4.r s = v4.s

10.6

29

0.532075

75

265

1.866667

0.44

0.042857

0

0.221106

0.249057

265

24

30

11.041667

0.482412

0

1

0

false

0

0.1

0

0.1

0

1

null

0

1

0

1

0

null

0

3

bee082fd43d018efe615e1efde05a3a482204b84

48,845

py

Python

demisto_client/demisto_api/models/investigation_playbook_task.py

guytest/demisto-py

8ca4f56a6177668151b5656cbe675a377003c0e9

[ "Apache-2.0" ]

1

2020-04-08T14:36:06.000Z

demisto_client/demisto_api/models/investigation_playbook_task.py

guytest/demisto-py

8ca4f56a6177668151b5656cbe675a377003c0e9

[ "Apache-2.0" ]

null

demisto_client/demisto_api/models/investigation_playbook_task.py

guytest/demisto-py

8ca4f56a6177668151b5656cbe675a377003c0e9

[ "Apache-2.0" ]

null

# coding: utf-8 """ Demisto API This is the public REST API to integrate with the demisto server. HTTP request can be sent using any HTTP-client. For an example dedicated client take a look at: https://github.com/demisto/demisto-py. Requests must include API-key that can be generated in the Demisto web client under 'Settings' -> 'Integrations' -> 'API keys' Optimistic Locking and Versioning\\: When using Demisto REST API, you will need to make sure to work on the latest version of the item (incident, entry, etc.), otherwise, you will get a DB version error (which not allow you to override a newer item). In addition, you can pass 'version\\: -1' to force data override (make sure that other users data might be lost). Assume that Alice and Bob both read the same data from Demisto server, then they both changed the data, and then both tried to write the new versions back to the server. Whose changes should be saved? Alice’s? Bob’s? To solve this, each data item in Demisto has a numeric incremental version. If Alice saved an item with version 4 and Bob trying to save the same item with version 3, Demisto will rollback Bob request and returns a DB version conflict error. Bob will need to get the latest item and work on it so Alice work will not get lost. Example request using 'curl'\\: ``` curl 'https://hostname:443/incidents/search' -H 'content-type: application/json' -H 'accept: application/json' -H 'Authorization: <API Key goes here>' --data-binary '{\"filter\":{\"query\":\"-status:closed -category:job\",\"period\":{\"by\":\"day\",\"fromValue\":7}}}' --compressed ``` # noqa: E501 OpenAPI spec version: 2.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six from demisto_client.demisto_api.models.advance_arg import AdvanceArg # noqa: F401,E501 from demisto_client.demisto_api.models.data_collection_form import DataCollectionForm # noqa: F401,E501 from demisto_client.demisto_api.models.evidence_data import EvidenceData # noqa: F401,E501 from demisto_client.demisto_api.models.field_mapping import FieldMapping # noqa: F401,E501 from demisto_client.demisto_api.models.inv_playbook_task_complete_data import InvPlaybookTaskCompleteData # noqa: F401,E501 # from demisto_client.demisto_api.models.investigation_playbook import InvestigationPlaybook # noqa: F401,E501 from demisto_client.demisto_api.models.notifiable_item import NotifiableItem # noqa: F401,E501 from demisto_client.demisto_api.models.reputation_calc_alg import ReputationCalcAlg # noqa: F401,E501 from demisto_client.demisto_api.models.sla import SLA # noqa: F401,E501 from demisto_client.demisto_api.models.task import Task # noqa: F401,E501 from demisto_client.demisto_api.models.task_condition import TaskCondition # noqa: F401,E501 from demisto_client.demisto_api.models.task_loop import TaskLoop # noqa: F401,E501 from demisto_client.demisto_api.models.task_state import TaskState # noqa: F401,E501 from demisto_client.demisto_api.models.task_type import TaskType # noqa: F401,E501 from demisto_client.demisto_api.models.task_view import TaskView # noqa: F401,E501 from demisto_client.demisto_api.models.timer_trigger import TimerTrigger # noqa: F401,E501 class InvestigationPlaybookTask(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'arguments': 'dict(str, object)', 'assignee': 'str', 'assignee_set': 'bool', 'blocking_tasks': 'list[str]', 'comments': 'bool', 'completed_by': 'str', 'completed_count': 'int', 'completed_date': 'datetime', 'conditions': 'list[TaskCondition]', 'continue_on_error': 'bool', 'default_assignee': 'str', 'default_assignee_complex': 'AdvanceArg', 'default_reminder': 'int', 'due_date': 'datetime', 'due_date_set': 'bool', 'entries': 'list[str]', 'evidence_data': 'EvidenceData', 'execution_count': 'int', 'field_mapping': 'list[FieldMapping]', 'for_each_index': 'int', 'for_each_inputs': 'dict(str, list[object])', 'form': 'DataCollectionForm', 'id': 'str', 'ignore_worker': 'bool', 'indent': 'int', 'input': 'str', 'loop': 'TaskLoop', 'message': 'NotifiableItem', 'next_tasks': 'dict(str, list[str])', 'note': 'bool', 'outputs': 'dict(str, object)', 'parent_block_count': 'int', 'parent_playbook_id': 'str', 'patched': 'bool', 'playbook_inputs': 'dict(str, object)', 'previous_tasks': 'dict(str, list[str])', 'reminder': 'int', 'reputation_calc': 'ReputationCalcAlg', 'restricted_completion': 'bool', 'script_arguments': 'dict(str, AdvanceArg)', 'separate_context': 'bool', 'sla': 'SLA', 'sla_reminder': 'SLA', 'start_date': 'datetime', 'state': 'TaskState', 'sub_playbook': 'InvestigationPlaybook', 'task': 'Task', 'task_complete_data': 'list[InvPlaybookTaskCompleteData]', 'task_id': 'str', 'timer_triggers': 'list[TimerTrigger]', 'type': 'TaskType', 'view': 'TaskView', 'will_not_execute_count': 'int' } attribute_map = { 'arguments': 'arguments', 'assignee': 'assignee', 'assignee_set': 'assigneeSet', 'blocking_tasks': 'blockingTasks', 'comments': 'comments', 'completed_by': 'completedBy', 'completed_count': 'completedCount', 'completed_date': 'completedDate', 'conditions': 'conditions', 'continue_on_error': 'continueOnError', 'default_assignee': 'defaultAssignee', 'default_assignee_complex': 'defaultAssigneeComplex', 'default_reminder': 'defaultReminder', 'due_date': 'dueDate', 'due_date_set': 'dueDateSet', 'entries': 'entries', 'evidence_data': 'evidenceData', 'execution_count': 'executionCount', 'field_mapping': 'fieldMapping', 'for_each_index': 'forEachIndex', 'for_each_inputs': 'forEachInputs', 'form': 'form', 'id': 'id', 'ignore_worker': 'ignoreWorker', 'indent': 'indent', 'input': 'input', 'loop': 'loop', 'message': 'message', 'next_tasks': 'nextTasks', 'note': 'note', 'outputs': 'outputs', 'parent_block_count': 'parentBlockCount', 'parent_playbook_id': 'parentPlaybookID', 'patched': 'patched', 'playbook_inputs': 'playbookInputs', 'previous_tasks': 'previousTasks', 'reminder': 'reminder', 'reputation_calc': 'reputationCalc', 'restricted_completion': 'restrictedCompletion', 'script_arguments': 'scriptArguments', 'separate_context': 'separateContext', 'sla': 'sla', 'sla_reminder': 'slaReminder', 'start_date': 'startDate', 'state': 'state', 'sub_playbook': 'subPlaybook', 'task': 'task', 'task_complete_data': 'taskCompleteData', 'task_id': 'taskId', 'timer_triggers': 'timerTriggers', 'type': 'type', 'view': 'view', 'will_not_execute_count': 'willNotExecuteCount' } def __init__(self, arguments=None, assignee=None, assignee_set=None, blocking_tasks=None, comments=None, completed_by=None, completed_count=None, completed_date=None, conditions=None, continue_on_error=None, default_assignee=None, default_assignee_complex=None, default_reminder=None, due_date=None, due_date_set=None, entries=None, evidence_data=None, execution_count=None, field_mapping=None, for_each_index=None, for_each_inputs=None, form=None, id=None, ignore_worker=None, indent=None, input=None, loop=None, message=None, next_tasks=None, note=None, outputs=None, parent_block_count=None, parent_playbook_id=None, patched=None, playbook_inputs=None, previous_tasks=None, reminder=None, reputation_calc=None, restricted_completion=None, script_arguments=None, separate_context=None, sla=None, sla_reminder=None, start_date=None, state=None, sub_playbook=None, task=None, task_complete_data=None, task_id=None, timer_triggers=None, type=None, view=None, will_not_execute_count=None): # noqa: E501 """InvestigationPlaybookTask - a model defined in Swagger""" # noqa: E501 self._arguments = None self._assignee = None self._assignee_set = None self._blocking_tasks = None self._comments = None self._completed_by = None self._completed_count = None self._completed_date = None self._conditions = None self._continue_on_error = None self._default_assignee = None self._default_assignee_complex = None self._default_reminder = None self._due_date = None self._due_date_set = None self._entries = None self._evidence_data = None self._execution_count = None self._field_mapping = None self._for_each_index = None self._for_each_inputs = None self._form = None self._id = None self._ignore_worker = None self._indent = None self._input = None self._loop = None self._message = None self._next_tasks = None self._note = None self._outputs = None self._parent_block_count = None self._parent_playbook_id = None self._patched = None self._playbook_inputs = None self._previous_tasks = None self._reminder = None self._reputation_calc = None self._restricted_completion = None self._script_arguments = None self._separate_context = None self._sla = None self._sla_reminder = None self._start_date = None self._state = None self._sub_playbook = None self._task = None self._task_complete_data = None self._task_id = None self._timer_triggers = None self._type = None self._view = None self._will_not_execute_count = None self.discriminator = None if arguments is not None: self.arguments = arguments if assignee is not None: self.assignee = assignee if assignee_set is not None: self.assignee_set = assignee_set if blocking_tasks is not None: self.blocking_tasks = blocking_tasks if comments is not None: self.comments = comments if completed_by is not None: self.completed_by = completed_by if completed_count is not None: self.completed_count = completed_count if completed_date is not None: self.completed_date = completed_date if conditions is not None: self.conditions = conditions if continue_on_error is not None: self.continue_on_error = continue_on_error if default_assignee is not None: self.default_assignee = default_assignee if default_assignee_complex is not None: self.default_assignee_complex = default_assignee_complex if default_reminder is not None: self.default_reminder = default_reminder if due_date is not None: self.due_date = due_date if due_date_set is not None: self.due_date_set = due_date_set if entries is not None: self.entries = entries if evidence_data is not None: self.evidence_data = evidence_data if execution_count is not None: self.execution_count = execution_count if field_mapping is not None: self.field_mapping = field_mapping if for_each_index is not None: self.for_each_index = for_each_index if for_each_inputs is not None: self.for_each_inputs = for_each_inputs if form is not None: self.form = form if id is not None: self.id = id if ignore_worker is not None: self.ignore_worker = ignore_worker if indent is not None: self.indent = indent if input is not None: self.input = input if loop is not None: self.loop = loop if message is not None: self.message = message if next_tasks is not None: self.next_tasks = next_tasks if note is not None: self.note = note if outputs is not None: self.outputs = outputs if parent_block_count is not None: self.parent_block_count = parent_block_count if parent_playbook_id is not None: self.parent_playbook_id = parent_playbook_id if patched is not None: self.patched = patched if playbook_inputs is not None: self.playbook_inputs = playbook_inputs if previous_tasks is not None: self.previous_tasks = previous_tasks if reminder is not None: self.reminder = reminder if reputation_calc is not None: self.reputation_calc = reputation_calc if restricted_completion is not None: self.restricted_completion = restricted_completion if script_arguments is not None: self.script_arguments = script_arguments if separate_context is not None: self.separate_context = separate_context if sla is not None: self.sla = sla if sla_reminder is not None: self.sla_reminder = sla_reminder if start_date is not None: self.start_date = start_date if state is not None: self.state = state if sub_playbook is not None: self.sub_playbook = sub_playbook if task is not None: self.task = task if task_complete_data is not None: self.task_complete_data = task_complete_data if task_id is not None: self.task_id = task_id if timer_triggers is not None: self.timer_triggers = timer_triggers if type is not None: self.type = type if view is not None: self.view = view if will_not_execute_count is not None: self.will_not_execute_count = will_not_execute_count @property def arguments(self): """Gets the arguments of this InvestigationPlaybookTask. # noqa: E501 :return: The arguments of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, object) """ return self._arguments @arguments.setter def arguments(self, arguments): """Sets the arguments of this InvestigationPlaybookTask. :param arguments: The arguments of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, object) """ self._arguments = arguments @property def assignee(self): """Gets the assignee of this InvestigationPlaybookTask. # noqa: E501 :return: The assignee of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._assignee @assignee.setter def assignee(self, assignee): """Sets the assignee of this InvestigationPlaybookTask. :param assignee: The assignee of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._assignee = assignee @property def assignee_set(self): """Gets the assignee_set of this InvestigationPlaybookTask. # noqa: E501 :return: The assignee_set of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._assignee_set @assignee_set.setter def assignee_set(self, assignee_set): """Sets the assignee_set of this InvestigationPlaybookTask. :param assignee_set: The assignee_set of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._assignee_set = assignee_set @property def blocking_tasks(self): """Gets the blocking_tasks of this InvestigationPlaybookTask. # noqa: E501 :return: The blocking_tasks of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[str] """ return self._blocking_tasks @blocking_tasks.setter def blocking_tasks(self, blocking_tasks): """Sets the blocking_tasks of this InvestigationPlaybookTask. :param blocking_tasks: The blocking_tasks of this InvestigationPlaybookTask. # noqa: E501 :type: list[str] """ self._blocking_tasks = blocking_tasks @property def comments(self): """Gets the comments of this InvestigationPlaybookTask. # noqa: E501 Whether this task had any comments or not # noqa: E501 :return: The comments of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._comments @comments.setter def comments(self, comments): """Sets the comments of this InvestigationPlaybookTask. Whether this task had any comments or not # noqa: E501 :param comments: The comments of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._comments = comments @property def completed_by(self): """Gets the completed_by of this InvestigationPlaybookTask. # noqa: E501 :return: The completed_by of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._completed_by @completed_by.setter def completed_by(self, completed_by): """Sets the completed_by of this InvestigationPlaybookTask. :param completed_by: The completed_by of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._completed_by = completed_by @property def completed_count(self): """Gets the completed_count of this InvestigationPlaybookTask. # noqa: E501 :return: The completed_count of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._completed_count @completed_count.setter def completed_count(self, completed_count): """Sets the completed_count of this InvestigationPlaybookTask. :param completed_count: The completed_count of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._completed_count = completed_count @property def completed_date(self): """Gets the completed_date of this InvestigationPlaybookTask. # noqa: E501 :return: The completed_date of this InvestigationPlaybookTask. # noqa: E501 :rtype: datetime """ return self._completed_date @completed_date.setter def completed_date(self, completed_date): """Sets the completed_date of this InvestigationPlaybookTask. :param completed_date: The completed_date of this InvestigationPlaybookTask. # noqa: E501 :type: datetime """ self._completed_date = completed_date @property def conditions(self): """Gets the conditions of this InvestigationPlaybookTask. # noqa: E501 Conditions - optional list of conditions to run when task is conditional. we check conditions by their order (e.i. - considering the first one that satisfied) # noqa: E501 :return: The conditions of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[TaskCondition] """ return self._conditions @conditions.setter def conditions(self, conditions): """Sets the conditions of this InvestigationPlaybookTask. Conditions - optional list of conditions to run when task is conditional. we check conditions by their order (e.i. - considering the first one that satisfied) # noqa: E501 :param conditions: The conditions of this InvestigationPlaybookTask. # noqa: E501 :type: list[TaskCondition] """ self._conditions = conditions @property def continue_on_error(self): """Gets the continue_on_error of this InvestigationPlaybookTask. # noqa: E501 :return: The continue_on_error of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._continue_on_error @continue_on_error.setter def continue_on_error(self, continue_on_error): """Sets the continue_on_error of this InvestigationPlaybookTask. :param continue_on_error: The continue_on_error of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._continue_on_error = continue_on_error @property def default_assignee(self): """Gets the default_assignee of this InvestigationPlaybookTask. # noqa: E501 :return: The default_assignee of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._default_assignee @default_assignee.setter def default_assignee(self, default_assignee): """Sets the default_assignee of this InvestigationPlaybookTask. :param default_assignee: The default_assignee of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._default_assignee = default_assignee @property def default_assignee_complex(self): """Gets the default_assignee_complex of this InvestigationPlaybookTask. # noqa: E501 :return: The default_assignee_complex of this InvestigationPlaybookTask. # noqa: E501 :rtype: AdvanceArg """ return self._default_assignee_complex @default_assignee_complex.setter def default_assignee_complex(self, default_assignee_complex): """Sets the default_assignee_complex of this InvestigationPlaybookTask. :param default_assignee_complex: The default_assignee_complex of this InvestigationPlaybookTask. # noqa: E501 :type: AdvanceArg """ self._default_assignee_complex = default_assignee_complex @property def default_reminder(self): """Gets the default_reminder of this InvestigationPlaybookTask. # noqa: E501 :return: The default_reminder of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._default_reminder @default_reminder.setter def default_reminder(self, default_reminder): """Sets the default_reminder of this InvestigationPlaybookTask. :param default_reminder: The default_reminder of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._default_reminder = default_reminder @property def due_date(self): """Gets the due_date of this InvestigationPlaybookTask. # noqa: E501 :return: The due_date of this InvestigationPlaybookTask. # noqa: E501 :rtype: datetime """ return self._due_date @due_date.setter def due_date(self, due_date): """Sets the due_date of this InvestigationPlaybookTask. :param due_date: The due_date of this InvestigationPlaybookTask. # noqa: E501 :type: datetime """ self._due_date = due_date @property def due_date_set(self): """Gets the due_date_set of this InvestigationPlaybookTask. # noqa: E501 :return: The due_date_set of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._due_date_set @due_date_set.setter def due_date_set(self, due_date_set): """Sets the due_date_set of this InvestigationPlaybookTask. :param due_date_set: The due_date_set of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._due_date_set = due_date_set @property def entries(self): """Gets the entries of this InvestigationPlaybookTask. # noqa: E501 :return: The entries of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[str] """ return self._entries @entries.setter def entries(self, entries): """Sets the entries of this InvestigationPlaybookTask. :param entries: The entries of this InvestigationPlaybookTask. # noqa: E501 :type: list[str] """ self._entries = entries @property def evidence_data(self): """Gets the evidence_data of this InvestigationPlaybookTask. # noqa: E501 :return: The evidence_data of this InvestigationPlaybookTask. # noqa: E501 :rtype: EvidenceData """ return self._evidence_data @evidence_data.setter def evidence_data(self, evidence_data): """Sets the evidence_data of this InvestigationPlaybookTask. :param evidence_data: The evidence_data of this InvestigationPlaybookTask. # noqa: E501 :type: EvidenceData """ self._evidence_data = evidence_data @property def execution_count(self): """Gets the execution_count of this InvestigationPlaybookTask. # noqa: E501 :return: The execution_count of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._execution_count @execution_count.setter def execution_count(self, execution_count): """Sets the execution_count of this InvestigationPlaybookTask. :param execution_count: The execution_count of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._execution_count = execution_count @property def field_mapping(self): """Gets the field_mapping of this InvestigationPlaybookTask. # noqa: E501 :return: The field_mapping of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[FieldMapping] """ return self._field_mapping @field_mapping.setter def field_mapping(self, field_mapping): """Sets the field_mapping of this InvestigationPlaybookTask. :param field_mapping: The field_mapping of this InvestigationPlaybookTask. # noqa: E501 :type: list[FieldMapping] """ self._field_mapping = field_mapping @property def for_each_index(self): """Gets the for_each_index of this InvestigationPlaybookTask. # noqa: E501 Parameters needed for loops # noqa: E501 :return: The for_each_index of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._for_each_index @for_each_index.setter def for_each_index(self, for_each_index): """Sets the for_each_index of this InvestigationPlaybookTask. Parameters needed for loops # noqa: E501 :param for_each_index: The for_each_index of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._for_each_index = for_each_index @property def for_each_inputs(self): """Gets the for_each_inputs of this InvestigationPlaybookTask. # noqa: E501 :return: The for_each_inputs of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, list[object]) """ return self._for_each_inputs @for_each_inputs.setter def for_each_inputs(self, for_each_inputs): """Sets the for_each_inputs of this InvestigationPlaybookTask. :param for_each_inputs: The for_each_inputs of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, list[object]) """ self._for_each_inputs = for_each_inputs @property def form(self): """Gets the form of this InvestigationPlaybookTask. # noqa: E501 :return: The form of this InvestigationPlaybookTask. # noqa: E501 :rtype: DataCollectionForm """ return self._form @form.setter def form(self, form): """Sets the form of this InvestigationPlaybookTask. :param form: The form of this InvestigationPlaybookTask. # noqa: E501 :type: DataCollectionForm """ self._form = form @property def id(self): """Gets the id of this InvestigationPlaybookTask. # noqa: E501 :return: The id of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._id @id.setter def id(self, id): """Sets the id of this InvestigationPlaybookTask. :param id: The id of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._id = id @property def ignore_worker(self): """Gets the ignore_worker of this InvestigationPlaybookTask. # noqa: E501 Do not run this task in a worker # noqa: E501 :return: The ignore_worker of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._ignore_worker @ignore_worker.setter def ignore_worker(self, ignore_worker): """Sets the ignore_worker of this InvestigationPlaybookTask. Do not run this task in a worker # noqa: E501 :param ignore_worker: The ignore_worker of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._ignore_worker = ignore_worker @property def indent(self): """Gets the indent of this InvestigationPlaybookTask. # noqa: E501 :return: The indent of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._indent @indent.setter def indent(self, indent): """Sets the indent of this InvestigationPlaybookTask. :param indent: The indent of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._indent = indent @property def input(self): """Gets the input of this InvestigationPlaybookTask. # noqa: E501 :return: The input of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._input @input.setter def input(self, input): """Sets the input of this InvestigationPlaybookTask. :param input: The input of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._input = input @property def loop(self): """Gets the loop of this InvestigationPlaybookTask. # noqa: E501 :return: The loop of this InvestigationPlaybookTask. # noqa: E501 :rtype: TaskLoop """ return self._loop @loop.setter def loop(self, loop): """Sets the loop of this InvestigationPlaybookTask. :param loop: The loop of this InvestigationPlaybookTask. # noqa: E501 :type: TaskLoop """ self._loop = loop @property def message(self): """Gets the message of this InvestigationPlaybookTask. # noqa: E501 :return: The message of this InvestigationPlaybookTask. # noqa: E501 :rtype: NotifiableItem """ return self._message @message.setter def message(self, message): """Sets the message of this InvestigationPlaybookTask. :param message: The message of this InvestigationPlaybookTask. # noqa: E501 :type: NotifiableItem """ self._message = message @property def next_tasks(self): """Gets the next_tasks of this InvestigationPlaybookTask. # noqa: E501 :return: The next_tasks of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, list[str]) """ return self._next_tasks @next_tasks.setter def next_tasks(self, next_tasks): """Sets the next_tasks of this InvestigationPlaybookTask. :param next_tasks: The next_tasks of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, list[str]) """ self._next_tasks = next_tasks @property def note(self): """Gets the note of this InvestigationPlaybookTask. # noqa: E501 :return: The note of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._note @note.setter def note(self, note): """Sets the note of this InvestigationPlaybookTask. :param note: The note of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._note = note @property def outputs(self): """Gets the outputs of this InvestigationPlaybookTask. # noqa: E501 :return: The outputs of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, object) """ return self._outputs @outputs.setter def outputs(self, outputs): """Sets the outputs of this InvestigationPlaybookTask. :param outputs: The outputs of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, object) """ self._outputs = outputs @property def parent_block_count(self): """Gets the parent_block_count of this InvestigationPlaybookTask. # noqa: E501 the number of tasks that are waiting on blocked in subplaybooks of this task # noqa: E501 :return: The parent_block_count of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._parent_block_count @parent_block_count.setter def parent_block_count(self, parent_block_count): """Sets the parent_block_count of this InvestigationPlaybookTask. the number of tasks that are waiting on blocked in subplaybooks of this task # noqa: E501 :param parent_block_count: The parent_block_count of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._parent_block_count = parent_block_count @property def parent_playbook_id(self): """Gets the parent_playbook_id of this InvestigationPlaybookTask. # noqa: E501 :return: The parent_playbook_id of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._parent_playbook_id @parent_playbook_id.setter def parent_playbook_id(self, parent_playbook_id): """Sets the parent_playbook_id of this InvestigationPlaybookTask. :param parent_playbook_id: The parent_playbook_id of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._parent_playbook_id = parent_playbook_id @property def patched(self): """Gets the patched of this InvestigationPlaybookTask. # noqa: E501 Indicates whether this task was patched to InvPB and did not originally belong to the playbook # noqa: E501 :return: The patched of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._patched @patched.setter def patched(self, patched): """Sets the patched of this InvestigationPlaybookTask. Indicates whether this task was patched to InvPB and did not originally belong to the playbook # noqa: E501 :param patched: The patched of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._patched = patched @property def playbook_inputs(self): """Gets the playbook_inputs of this InvestigationPlaybookTask. # noqa: E501 :return: The playbook_inputs of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, object) """ return self._playbook_inputs @playbook_inputs.setter def playbook_inputs(self, playbook_inputs): """Sets the playbook_inputs of this InvestigationPlaybookTask. :param playbook_inputs: The playbook_inputs of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, object) """ self._playbook_inputs = playbook_inputs @property def previous_tasks(self): """Gets the previous_tasks of this InvestigationPlaybookTask. # noqa: E501 :return: The previous_tasks of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, list[str]) """ return self._previous_tasks @previous_tasks.setter def previous_tasks(self, previous_tasks): """Sets the previous_tasks of this InvestigationPlaybookTask. :param previous_tasks: The previous_tasks of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, list[str]) """ self._previous_tasks = previous_tasks @property def reminder(self): """Gets the reminder of this InvestigationPlaybookTask. # noqa: E501 Duration in minutes, this field is not persisted here # noqa: E501 :return: The reminder of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._reminder @reminder.setter def reminder(self, reminder): """Sets the reminder of this InvestigationPlaybookTask. Duration in minutes, this field is not persisted here # noqa: E501 :param reminder: The reminder of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._reminder = reminder @property def reputation_calc(self): """Gets the reputation_calc of this InvestigationPlaybookTask. # noqa: E501 :return: The reputation_calc of this InvestigationPlaybookTask. # noqa: E501 :rtype: ReputationCalcAlg """ return self._reputation_calc @reputation_calc.setter def reputation_calc(self, reputation_calc): """Sets the reputation_calc of this InvestigationPlaybookTask. :param reputation_calc: The reputation_calc of this InvestigationPlaybookTask. # noqa: E501 :type: ReputationCalcAlg """ self._reputation_calc = reputation_calc @property def restricted_completion(self): """Gets the restricted_completion of this InvestigationPlaybookTask. # noqa: E501 :return: The restricted_completion of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._restricted_completion @restricted_completion.setter def restricted_completion(self, restricted_completion): """Sets the restricted_completion of this InvestigationPlaybookTask. :param restricted_completion: The restricted_completion of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._restricted_completion = restricted_completion @property def script_arguments(self): """Gets the script_arguments of this InvestigationPlaybookTask. # noqa: E501 :return: The script_arguments of this InvestigationPlaybookTask. # noqa: E501 :rtype: dict(str, AdvanceArg) """ return self._script_arguments @script_arguments.setter def script_arguments(self, script_arguments): """Sets the script_arguments of this InvestigationPlaybookTask. :param script_arguments: The script_arguments of this InvestigationPlaybookTask. # noqa: E501 :type: dict(str, AdvanceArg) """ self._script_arguments = script_arguments @property def separate_context(self): """Gets the separate_context of this InvestigationPlaybookTask. # noqa: E501 :return: The separate_context of this InvestigationPlaybookTask. # noqa: E501 :rtype: bool """ return self._separate_context @separate_context.setter def separate_context(self, separate_context): """Sets the separate_context of this InvestigationPlaybookTask. :param separate_context: The separate_context of this InvestigationPlaybookTask. # noqa: E501 :type: bool """ self._separate_context = separate_context @property def sla(self): """Gets the sla of this InvestigationPlaybookTask. # noqa: E501 :return: The sla of this InvestigationPlaybookTask. # noqa: E501 :rtype: SLA """ return self._sla @sla.setter def sla(self, sla): """Sets the sla of this InvestigationPlaybookTask. :param sla: The sla of this InvestigationPlaybookTask. # noqa: E501 :type: SLA """ self._sla = sla @property def sla_reminder(self): """Gets the sla_reminder of this InvestigationPlaybookTask. # noqa: E501 :return: The sla_reminder of this InvestigationPlaybookTask. # noqa: E501 :rtype: SLA """ return self._sla_reminder @sla_reminder.setter def sla_reminder(self, sla_reminder): """Sets the sla_reminder of this InvestigationPlaybookTask. :param sla_reminder: The sla_reminder of this InvestigationPlaybookTask. # noqa: E501 :type: SLA """ self._sla_reminder = sla_reminder @property def start_date(self): """Gets the start_date of this InvestigationPlaybookTask. # noqa: E501 :return: The start_date of this InvestigationPlaybookTask. # noqa: E501 :rtype: datetime """ return self._start_date @start_date.setter def start_date(self, start_date): """Sets the start_date of this InvestigationPlaybookTask. :param start_date: The start_date of this InvestigationPlaybookTask. # noqa: E501 :type: datetime """ self._start_date = start_date @property def state(self): """Gets the state of this InvestigationPlaybookTask. # noqa: E501 :return: The state of this InvestigationPlaybookTask. # noqa: E501 :rtype: TaskState """ return self._state @state.setter def state(self, state): """Sets the state of this InvestigationPlaybookTask. :param state: The state of this InvestigationPlaybookTask. # noqa: E501 :type: TaskState """ self._state = state @property def sub_playbook(self): """Gets the sub_playbook of this InvestigationPlaybookTask. # noqa: E501 :return: The sub_playbook of this InvestigationPlaybookTask. # noqa: E501 :rtype: InvestigationPlaybook """ return self._sub_playbook @sub_playbook.setter def sub_playbook(self, sub_playbook): """Sets the sub_playbook of this InvestigationPlaybookTask. :param sub_playbook: The sub_playbook of this InvestigationPlaybookTask. # noqa: E501 :type: InvestigationPlaybook """ self._sub_playbook = sub_playbook @property def task(self): """Gets the task of this InvestigationPlaybookTask. # noqa: E501 :return: The task of this InvestigationPlaybookTask. # noqa: E501 :rtype: Task """ return self._task @task.setter def task(self, task): """Sets the task of this InvestigationPlaybookTask. :param task: The task of this InvestigationPlaybookTask. # noqa: E501 :type: Task """ self._task = task @property def task_complete_data(self): """Gets the task_complete_data of this InvestigationPlaybookTask. # noqa: E501 History complete data # noqa: E501 :return: The task_complete_data of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[InvPlaybookTaskCompleteData] """ return self._task_complete_data @task_complete_data.setter def task_complete_data(self, task_complete_data): """Sets the task_complete_data of this InvestigationPlaybookTask. History complete data # noqa: E501 :param task_complete_data: The task_complete_data of this InvestigationPlaybookTask. # noqa: E501 :type: list[InvPlaybookTaskCompleteData] """ self._task_complete_data = task_complete_data @property def task_id(self): """Gets the task_id of this InvestigationPlaybookTask. # noqa: E501 :return: The task_id of this InvestigationPlaybookTask. # noqa: E501 :rtype: str """ return self._task_id @task_id.setter def task_id(self, task_id): """Sets the task_id of this InvestigationPlaybookTask. :param task_id: The task_id of this InvestigationPlaybookTask. # noqa: E501 :type: str """ self._task_id = task_id @property def timer_triggers(self): """Gets the timer_triggers of this InvestigationPlaybookTask. # noqa: E501 SLA fields # noqa: E501 :return: The timer_triggers of this InvestigationPlaybookTask. # noqa: E501 :rtype: list[TimerTrigger] """ return self._timer_triggers @timer_triggers.setter def timer_triggers(self, timer_triggers): """Sets the timer_triggers of this InvestigationPlaybookTask. SLA fields # noqa: E501 :param timer_triggers: The timer_triggers of this InvestigationPlaybookTask. # noqa: E501 :type: list[TimerTrigger] """ self._timer_triggers = timer_triggers @property def type(self): """Gets the type of this InvestigationPlaybookTask. # noqa: E501 :return: The type of this InvestigationPlaybookTask. # noqa: E501 :rtype: TaskType """ return self._type @type.setter def type(self, type): """Sets the type of this InvestigationPlaybookTask. :param type: The type of this InvestigationPlaybookTask. # noqa: E501 :type: TaskType """ self._type = type @property def view(self): """Gets the view of this InvestigationPlaybookTask. # noqa: E501 :return: The view of this InvestigationPlaybookTask. # noqa: E501 :rtype: TaskView """ return self._view @view.setter def view(self, view): """Sets the view of this InvestigationPlaybookTask. :param view: The view of this InvestigationPlaybookTask. # noqa: E501 :type: TaskView """ self._view = view @property def will_not_execute_count(self): """Gets the will_not_execute_count of this InvestigationPlaybookTask. # noqa: E501 :return: The will_not_execute_count of this InvestigationPlaybookTask. # noqa: E501 :rtype: int """ return self._will_not_execute_count @will_not_execute_count.setter def will_not_execute_count(self, will_not_execute_count): """Sets the will_not_execute_count of this InvestigationPlaybookTask. :param will_not_execute_count: The will_not_execute_count of this InvestigationPlaybookTask. # noqa: E501 :type: int """ self._will_not_execute_count = will_not_execute_count def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(InvestigationPlaybookTask, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, InvestigationPlaybookTask): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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py

Python

napari_imc/io/__init__.py

neuromusic/napari-imc

ce2ff998b33b49f19a786585cc2cb8e59db74c24

[ "MIT" ]

4

2021-01-29T15:11:37.000Z

2021-03-01T02:04:24.000Z

napari_imc/io/__init__.py

neuromusic/napari-imc

ce2ff998b33b49f19a786585cc2cb8e59db74c24

[ "MIT" ]

25

2021-01-19T01:49:13.000Z

2022-02-09T10:46:41.000Z

napari_imc/io/__init__.py

neuromusic/napari-imc

ce2ff998b33b49f19a786585cc2cb8e59db74c24

[ "MIT" ]

3

2021-01-29T17:31:05.000Z

2022-03-25T10:23:32.000Z

from .imaxt import ImaxtFileReader from .mcd import McdFileReader from .txt import TxtFileReader __all__ = [ 'ImaxtFileReader', 'McdFileReader', 'TxtFileReader', ]

17.7

34

0.734463

16

177

7.875

0.5625

0

0.180791

177

9

35

19.666667

0.868966

0

0.231638

0

1

0

false

0

0.375

0

0.375

0

1

0

null

0

1

0

null

0

1

0

3

8311c27de6e1db041ba99f1046583892727db0c6

43

py

Python

oed/__init__.py

wgshen/OED

6928ba31396f2e7dd2bd3701f319e1dad3f91346

[ "MIT" ]

null

oed/__init__.py

wgshen/OED

6928ba31396f2e7dd2bd3701f319e1dad3f91346

[ "MIT" ]

null

oed/__init__.py

wgshen/OED

6928ba31396f2e7dd2bd3701f319e1dad3f91346

[ "MIT" ]

1

2021-11-10T05:41:02.000Z

from .oed import OED __all__ = [ "OED" ]

7.166667

20

0.604651

6

43

3.666667

0.666667

0

0.255814

43

5

21

8.6

0.6875

0

0.069767

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

3

831d6ec37b4d0e0a6e4200545a3b9e01d0fe7f0e

306

py

Python

api/permissions.py

soltanoff/simple_file_server

4e825358341fae0564fc498e8374a3d3cdda199e

[ "MIT" ]

2

2018-06-15T11:39:42.000Z

2019-08-14T20:55:15.000Z

api/permissions.py

soltanoff/simple_file_server

4e825358341fae0564fc498e8374a3d3cdda199e

[ "MIT" ]

7

2018-12-04T07:35:24.000Z

2022-03-11T23:12:10.000Z

api/permissions.py

soltanoff/simple_file_server

4e825358341fae0564fc498e8374a3d3cdda199e

[ "MIT" ]

null

from rest_framework import permissions class IsStaffOrReadOnly(permissions.BasePermission): """ Custom permission to only allow admins to edit it. """ def has_object_permission(self, request, view, obj): return request.method in permissions.SAFE_METHODS or request.user.is_staff

27.818182

82

0.751634

38

306

5.921053

0.842105

0

0.179739

306

10

83

30.6

0.896414

0.163399

0

1

0.25

false

0

0.25

1

0

null

0

null

0

1

0

1

0

3

833ab5ac04df4cc2bfa2f945d2155461c52e1071

1,039

py

Python

yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py

100sms/yibai-python-sdk

9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f

[ "MIT" ]

null

yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py

100sms/yibai-python-sdk

9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f

[ "MIT" ]

null

yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py

100sms/yibai-python-sdk

9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f

[ "MIT" ]

1

2019-11-26T11:49:54.000Z

# encoding=utf8 import HttpUtils class YibaiApiError(Exception): def __init__(self, code, message): super(YibaiApiError, self).__init__(message) self.code = code class YibaiClient(object): def __init__(self, server_url, apikey): self.serverUrl = server_url self.apikey = apikey def sms_batch_submit(self, submits): return self.__execute({'submits': submits}, '/sms/batchSubmit') def sms_pull_status_report(self): return self.__execute({}, '/sms/pullStatusReport') def sms_pull_reply_message(self): return self.__execute({}, '/sms/pullReply') def user_info(self): return self.__execute({}, '/user/info') def __execute(self, request, url_path): request['apikey'] = self.apikey req_url = self.serverUrl + url_path res = HttpUtils.post_json(req_url, request) if res['code'] == 200: return res['response'] raise YibaiApiError(res['code'], res['message'])

28.861111

72

0.624639

116

1,039

5.267241

0.37931

0.065466

0.111293

0.10311

0.07856

0

0.005155

0.253128

1,039

35

73

29.685714

0.782216

0.012512

0

0.098079

0.021234

0

1

0.291667

false

0

0.041667

0.166667

0.625

0

null

0

null

0

1

0

1

0

3

835e51b25ab23118471502fce1356174cfc1f9cc

137

py

Python

lab_4/start.py

AnastasiaZheleznyakova/2020-2-level-labs

926c7abde05f545f27d09a4d96b8014d5a668789

[ "MIT" ]

null

lab_4/start.py

AnastasiaZheleznyakova/2020-2-level-labs

926c7abde05f545f27d09a4d96b8014d5a668789

[ "MIT" ]

null

lab_4/start.py

AnastasiaZheleznyakova/2020-2-level-labs

926c7abde05f545f27d09a4d96b8014d5a668789

[ "MIT" ]

null

if __name__ == '__main__': pass RESULT = 1 # DO NOT REMOVE NEXT LINE - KEEP IT INTENTIONALLY LAST assert RESULT == 1, ''

22.833333

58

0.613139

18

137

4.222222

0.888889

0.184211

0

0.020619

0.291971

137

5

59

27.4

0.762887

0.379562

0

0.096386

0

0.25

1

0

false

0.25

0

1

0

null

0

1

0

null

0

1

0

3

835f677bc91f7df84f3075940f43de8d60abf297

84

py

Python

learning/__init__.py

aleisalem/Maat

702c88a6a86f0b56e504df8f4d7ba18e8a39c887

[ "Apache-2.0" ]

4

2019-10-11T12:19:29.000Z

2020-08-06T21:45:10.000Z

learning/__init__.py

aleisalem/Maat

702c88a6a86f0b56e504df8f4d7ba18e8a39c887

[ "Apache-2.0" ]

null

learning/__init__.py

aleisalem/Maat

702c88a6a86f0b56e504df8f4d7ba18e8a39c887

[ "Apache-2.0" ]

1

2021-01-05T11:50:22.000Z

__all__ = ["feature_extraction", "hmm_learner", "scikit_learners", "string_kernel"]

42

83

0.761905

9

84

6.222222

1

0

0.071429

84

1

84

0.717949

0

0.678571

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

8360d7fa109831cb6f6bca8e81a94ffadbaafea4

223

py

Python

primitives_ubc/regCCFS/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

null

primitives_ubc/regCCFS/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

4

2020-07-19T00:45:29.000Z

2020-12-10T18:25:41.000Z

primitives_ubc/regCCFS/__init__.py

tonyjo/ubc_primitives

bc94a403f176fe28db2a9ac9d1a48cb9db021f90

[ "Apache-2.0" ]

1

2021-04-30T18:13:49.000Z

from .ccfsReg import CanonicalCorrelationForestsRegressionPrimitive __all__ = ['CanonicalCorrelationForestsRegressionPrimitive'] from pkgutil import extend_path __path__ = extend_path(__path__, __name__) # type: ignore

27.875

67

0.847534

18

223

9.5

0.611111

0.116959

0.163743

0

0.098655

223

7

68

31.857143

0.850746

0.053812

0

0.220096

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

55cc899799689985629d17decc9d13ef5c737a0d

1,252

py

Python

preparedstatement.py

shgysk8zer0/pyutils

f7fa2ea7717740f05ea739d20cd8a21701835800

[ "MIT" ]

null

preparedstatement.py

shgysk8zer0/pyutils

f7fa2ea7717740f05ea739d20cd8a21701835800

[ "MIT" ]

null

preparedstatement.py

shgysk8zer0/pyutils

f7fa2ea7717740f05ea739d20cd8a21701835800

[ "MIT" ]

null

import sqlite3 class PreparedStatement: __cursor = None __sql = '' __params = {} def __init__(self, con: sqlite3.Connection, sql: str): self.__cursor = con.cursor() self.__sql = sql self.__params = {} def __str__(self) -> str: return self.__sql def __getitem__(self, key: str): return self.__params.get(key) def __delitem__(self, key: str): del self.__params[key] def __contains__(self, key: str) -> bool: return key in self.__params def __setitem__(self, name: str, value) -> None: self.__params[name] = value def __call__(self, **kwargs): return self.__cursor.execute(self.__sql, {**kwargs, **self.__params}) def bind(self, name: str, value): self.__params[name] = value return self def bindall(self, **kwargs): self.__params = kwargs return self def execute(self, **kwargs): return self.__cursor.execute(self.__sql, {**self.__params, **kwargs}) def executemany(self, *args): result = [{**self.__params, **arg} for arg in args] return self.__cursor.executemany(self.__sql, result) @property def params(self) -> dict: return self.__params

26.083333

77

0.610224

147

1,252

4.693878

0.258503

0.15942

0.056522

0.046377

0.115942

0

0.002172

0.264377

1,252

47

78

26.638298

0.747014

0

0.114286

0

1

0.342857

false

0

0.028571

0.171429

0.742857

0

null

0

null

0

1

0

1

0

3

55de8a6657e59552d97157f0e3318b5e7abae0d2

323

py

Python

electsysApi/shared/exception.py

yuxiqian/electsys-api

52b42729e797f8bdf6a0827e9d62a50919d56d65

[ "MIT" ]

5

2019-01-21T00:44:33.000Z

2022-01-03T16:45:25.000Z

electsysApi/shared/exception.py

yuxiqian/electsys-api

52b42729e797f8bdf6a0827e9d62a50919d56d65

[ "MIT" ]

1

2021-10-24T00:46:59.000Z

electsysApi/shared/exception.py

yuxiqian/electsys-api

52b42729e797f8bdf6a0827e9d62a50919d56d65

[ "MIT" ]

2

2019-01-12T03:18:33.000Z

2021-06-16T11:19:49.000Z

#!/usr/bin/env python # encoding: utf-8 ''' @author: yuxiqian @license: MIT @contact: akaza_akari@sjtu.edu.cn @software: electsys-api @file: electsysApi/shared/exception.py @time: 2019/1/9 ''' class RequestError(BaseException): pass class ParseError(BaseException): pass class ParseWarning(Warning): pass

14.043478

38

0.721362

41

323

5.658537

0.878049

0.146552

0.189655

0

0.025271

0.142415

323

22

39

14.681818

0.812274

0.560372

0

0.5

0

1

0

true

0.5

0

0.5

0

null

0

1

0

null

0

1

0

3

55ec22a317bb062a3d79bbd46b18d734b28581cf

58

py

Python

minimally_sufficient_pandas/__init__.py

dexplo/minimally_sufficient_pandas

d07710f03daa757f5778aa66ee68952d03467809

[ "BSD-3-Clause" ]

null

minimally_sufficient_pandas/__init__.py

dexplo/minimally_sufficient_pandas

d07710f03daa757f5778aa66ee68952d03467809

[ "BSD-3-Clause" ]

null

minimally_sufficient_pandas/__init__.py

dexplo/minimally_sufficient_pandas

d07710f03daa757f5778aa66ee68952d03467809

[ "BSD-3-Clause" ]

null

from ._pandas_accessor import _MSP __version__ = '0.0.1'

14.5

34

0.758621

9

58

4.111111

0.888889

0

0.06

0.137931

58

3

35

19.333333

0.68

0

0.086207

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

55f120e7cddd6dd7d7bb9b4780eee99d7d17ddcc

797

py

Python

src/fireo/utils/utils.py

jshep23/FireO

f4ccac8461bcf821ae9665a942847aa9f28ee92b

[ "Apache-2.0" ]

null

src/fireo/utils/utils.py

jshep23/FireO

f4ccac8461bcf821ae9665a942847aa9f28ee92b

[ "Apache-2.0" ]

null

src/fireo/utils/utils.py

jshep23/FireO

f4ccac8461bcf821ae9665a942847aa9f28ee92b

[ "Apache-2.0" ]

null

import re from google.cloud import firestore def collection_name(model): return re.sub('(?!^)([A-Z]+)', r'_\1', model).lower() def ref_path(key): return key.split('/') def collection_path(key): return '/'.join(key.split('/')[:-1]) def get_parent(key): return collection_path(key) def get_parent_doc(key): return '/'.join(key.split('/')[:-2]) def get_id(key): try: return key.split('/')[-1] except AttributeError: return None def GeoPoint(latitude: float, longitude: float): return firestore.GeoPoint(latitude, longitude) def get_nested(dict, *args): if args and dict: element = args[0] if element: value = dict.get(element) return value if len(args) == 1 else get_nested(value, *args[1:])

18.97619

76

0.61606

108

797

4.444444

0.416667

0.075

0.054167

0.066667

0.0875

0

0.01129

0.222083

797

42

76

18.97619

0.762903

0

0.027569

0

1

0.32

false

0

0.08

0.24

0.76

0

null

0

null

0

1

0

1

0

3

3617f1fcc07ed43dd799a0a44d4cb775cd1c7478

1,884

py

Python

blackbook/migrations/0022_cleanup.py

bsiebens/blackbook

636d1adc8966db158914abba43e360c6a0d23173

[ "MIT" ]

1

2021-05-10T19:15:48.000Z

blackbook/migrations/0022_cleanup.py

bsiebens/BlackBook

636d1adc8966db158914abba43e360c6a0d23173

[ "MIT" ]

20

2020-12-27T15:56:24.000Z

2021-09-22T18:25:02.000Z

blackbook/migrations/0022_cleanup.py

bsiebens/BlackBook

636d1adc8966db158914abba43e360c6a0d23173

[ "MIT" ]

null

# Generated by Django 3.1.4 on 2021-01-22 22:56 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('blackbook', '0021_update_account_categories'), ] operations = [ migrations.RemoveField( model_name='budgetperiod', name='budget', ), migrations.RemoveField( model_name='transaction', name='account', ), migrations.RemoveField( model_name='transaction', name='journal_entry', ), migrations.RemoveField( model_name='transactionjournalentry', name='budget', ), migrations.RemoveField( model_name='transactionjournalentry', name='category', ), migrations.RemoveField( model_name='transactionjournalentry', name='from_account', ), migrations.RemoveField( model_name='transactionjournalentry', name='tags', ), migrations.RemoveField( model_name='transactionjournalentry', name='to_account', ), migrations.RemoveField( model_name='userprofile', name='user', ), migrations.DeleteModel( name='Account', ), migrations.DeleteModel( name='AccountType', ), migrations.DeleteModel( name='Budget', ), migrations.DeleteModel( name='BudgetPeriod', ), migrations.DeleteModel( name='Category', ), migrations.DeleteModel( name='Transaction', ), migrations.DeleteModel( name='TransactionJournalEntry', ), migrations.DeleteModel( name='UserProfile', ), ]

25.459459

56

0.525478

126

1,884

7.738095

0.31746

0.193846

0.24

0.276923

0.453333

0.401026

0

0.016007

0.369958

1,884

73

57

25.808219

0.805392

0.023885

0

0.641791

1

0

0.194883

0.091453

0

1

0

false

0

0.014925

0

0.059701

0

null

0

1

0

1

0

null

0

3

3624a7b0fa4de41698f562d63ac67b0fc5033a54

1,230

py

Python

data_access_layer/abstract_classes/customer_dao.py

Alejandro-Fuste/python-bank-application

46e44c830ab8c13fd64c08e2db4f743a7d1d35de

[ "MIT" ]

null

data_access_layer/abstract_classes/customer_dao.py

Alejandro-Fuste/python-bank-application

46e44c830ab8c13fd64c08e2db4f743a7d1d35de

[ "MIT" ]

15

2021-11-22T16:05:42.000Z

2021-12-08T16:43:37.000Z

data_access_layer/abstract_classes/customer_dao.py

Alejandro-Fuste/python-bank-application

46e44c830ab8c13fd64c08e2db4f743a7d1d35de

[ "MIT" ]

null

from abc import ABC, abstractmethod from entities.customers import Customer from typing import List class CustomerDao(ABC): @abstractmethod def create_customer_entry(self, customer: Customer) -> Customer: pass @abstractmethod def get_customer_by_id(self, customer_id: str) -> Customer: pass @abstractmethod def get_all_customers(self) -> List[Customer]: pass @abstractmethod def get_customer_balance_by_id(self, customer_id: str, account_id: int) -> float: pass @abstractmethod def deposit_into_account_by_id(self, customer_id: str, account_id: int, deposit: float) -> float: pass @abstractmethod def withdraw_from_account_by_id(self, customer_id: str, account_id: int, withdraw: float) -> float: pass @abstractmethod def transfer_money_by_their_ids(self, customer_id: str, from_account_id: int, to_account_id: int, transfer_amount: float) -> float: pass @abstractmethod def update_customer_by_id(self, customer_id: str, customer: Customer) -> Customer: pass @abstractmethod def delete_customer_by_id(self, customer_id: int) -> bool: pass

27.954545

103

0.68374

150

1,230

5.313333

0.246667

0.19197

0.21079

0.120452

0.570891

0.42409

0.23463

0.141782

0.100376

0

0.239024

1,230

43

104

28.604651

0.851496

0

0.5625

0

1

0.28125

false

0.28125

0.09375

0

0.40625

0

null

0

1

0

null

0

1

0

1

0

3

36397c2f3323af879bfcf0a875f647ed132668eb

273

py

Python

ex026.py

juniorpedroso/Exercicios-CEV-Python

4adad3b6f3994cf61f9ead5564124b8b9c58d304

[ "MIT" ]

null

ex026.py

juniorpedroso/Exercicios-CEV-Python

4adad3b6f3994cf61f9ead5564124b8b9c58d304

[ "MIT" ]

null

ex026.py

juniorpedroso/Exercicios-CEV-Python

4adad3b6f3994cf61f9ead5564124b8b9c58d304

[ "MIT" ]

null

frase = str(input('Digite uma frase: ').strip().upper()) print('A letra a aparece {} vezes'.format(frase.count('A'))) print('Sua primeira aparição é na posição {}'.format(frase.find('A') + 1)) print('Ela aparece pela última vez na posição {}'.format(frase.rfind('A') + 1))

54.6

79

0.673993

43

273

4.27907

0.627907

0.179348

0.163043

0.217391

0

0.008264

0.113553

273

4

80

68.25

0.752066

0

0.457875

0

1

0

false

0

0.75

0

null

0

1

0

1

0

null

0

1

0

3

364dafdcafb142ed50351e67323fec6552de2b84

325

py

Python

maskrcnn_benchmark/data/datasets/__init__.py

lipengfeizju/Detection

efe00b221725be05e30fd67957958f97ae42b3cf

[ "MIT" ]

null

maskrcnn_benchmark/data/datasets/__init__.py

lipengfeizju/Detection

efe00b221725be05e30fd67957958f97ae42b3cf

[ "MIT" ]

null

maskrcnn_benchmark/data/datasets/__init__.py

lipengfeizju/Detection

efe00b221725be05e30fd67957958f97ae42b3cf

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. from .coco import COCODataset from .voc import PascalVOCDataset from .concat_dataset import ConcatDataset __all__ = ["COCODataset", "ConcatDataset", "PascalVOCDataset"] # if isinstance(dataset, datasets.MyDataset): # return coco_evaluation(**args)

36.111111

71

0.778462

36

325

6.861111

0.722222

0

0.123077

325

9

72

36.111111

0.866667

0.455385

0

0.229885

0

1

0

false

0

0.75

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

364e9aa16c6e94c8b02ddd7f95c3691e35f760e3

140

py

Python

Codechef Factorial.py

zoya-0509/Practice-codes

4d71b1b004f309025c215e55a504c7817b00e8c9

[ "MIT" ]

null

Codechef Factorial.py

zoya-0509/Practice-codes

4d71b1b004f309025c215e55a504c7817b00e8c9

[ "MIT" ]

null

Codechef Factorial.py

zoya-0509/Practice-codes

4d71b1b004f309025c215e55a504c7817b00e8c9

[ "MIT" ]

null

t=int(input("")) while (t>0): n=int(input("")) f=1 for i in range(1,n+1): f=f*i print(f) t=t-1

15.555556

28

0.378571

26

140

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