xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

9726eafab32c15410feb2dca6780b3667286e901

1,295

py

Python

tests/preprocessing/test_util.py

svenruf/trackintel

8b3482f0a4f44cf5f5de366198a39ca54ac04e75

[ "MIT" ]

null

tests/preprocessing/test_util.py

svenruf/trackintel

8b3482f0a4f44cf5f5de366198a39ca54ac04e75

[ "MIT" ]

null

tests/preprocessing/test_util.py

svenruf/trackintel

8b3482f0a4f44cf5f5de366198a39ca54ac04e75

[ "MIT" ]

null

import datetime import pytest from trackintel.preprocessing.util import calc_temp_overlap @pytest.fixture def time_1(): return datetime.datetime(year=1, month=1, day=1, hour=0, minute=0, second=0) @pytest.fixture def one_hour(): return datetime.timedelta(hours=1) class TestCalc_temp_overlap(): def test_same_interval(self, time_1, one_hour): """Two equal intervals should have 100 % overlap""" ratio = calc_temp_overlap(time_1, time_1 + one_hour, time_1, time_1 + one_hour) assert ratio == 1 def test_1_in_2(self, time_1, one_hour): """If interval 1 is fully covered by interval 2 the overlap should be 100 %""" ratio = calc_temp_overlap(time_1, time_1 + one_hour, time_1, time_1 + 2 * one_hour) assert ratio == 1 def test_2_in_1(self, time_1, one_hour): """If interval 1 is only covered half by interval 2 the overlap should be 50 %""" ratio = calc_temp_overlap(time_1, time_1 + 2 * one_hour, time_1, time_1 + one_hour) assert ratio == 0.5 def test_no_overlap(self, time_1, one_hour): """If the two intervals do not overlap the ratio should be 0""" ratio = calc_temp_overlap(time_1, time_1 + one_hour, time_1 + one_hour, time_1 + 2 * one_hour) assert ratio == 0

34.078947

102

0.681853

214

1,295

3.859813

0.257009

0.127119

0.096852

0.145278

0.530266

0.508475

0.478208

0.335351

0.299031

0.228814

0

0.052579

0.221622

1,295

37

103

35

0.766865

0.194595

0

0.181818

0

0.181818

1

0.272727

false

0

0.136364

0.090909

0.545455

0

null

0

null

0

1

0

1

0

2

972738928f80909c41adae3de306c1deaa0741e7

869

py

Python

nla_semparse/nla_semparse/nla_language.py

ramild/allennlp-guide

4cff916e7bc4629184bc70594e213ef56e14ec70

[ "MIT" ]

71

2020-06-06T03:12:44.000Z

2022-03-12T20:21:48.000Z

nla_semparse/nla_semparse/nla_language.py

ramild/allennlp-guide

4cff916e7bc4629184bc70594e213ef56e14ec70

[ "MIT" ]

50

2020-06-18T14:19:15.000Z

2022-03-28T07:04:16.000Z

nla_semparse/nla_semparse/nla_language.py

ramild/allennlp-guide

4cff916e7bc4629184bc70594e213ef56e14ec70

[ "MIT" ]

37

2020-06-05T19:08:44.000Z

2022-03-17T08:23:41.000Z

from allennlp_semparse import DomainLanguage, predicate class NlaLanguage(DomainLanguage): def __init__(self): super().__init__( start_types={int}, allowed_constants={ "0": 0, "1": 1, "2": 2, "3": 3, "4": 4, "5": 5, "6": 6, "7": 7, "8": 8, "9": 9, }, ) @predicate def add(self, num1: int, num2: int) -> int: return num1 + num2 @predicate def subtract(self, num1: int, num2: int) -> int: return num1 - num2 @predicate def multiply(self, num1: int, num2: int) -> int: return num1 * num2 @predicate def divide(self, num1: int, num2: int) -> int: return num1 // num2 if num2 != 0 else 0

23.486486

55

0.441887

92

869

4.054348

0.391304

0.128686

0.117962

0.160858

0.47185

0.378016

0

0.07943

0.434983

869

36

56

24.138889

0.680244

0

0.133333

0

0.011507

0

1

0.166667

false

0

0.033333

0.133333

0.366667

0

null

0

1

0

null

0

1

0

2

9730ded7aff5753f7cf4dd267bc552b4a4f1c209

1,534

py

Python

matchzoo/data_generator/dynamic_data_generator.py

freedombenLiu/MatchZoo

b1ba96ac8b84e70952f5787f62272ceef8cea106

[ "Apache-2.0" ]

2

2019-10-04T16:51:36.000Z

2021-06-09T04:43:35.000Z

matchzoo/data_generator/dynamic_data_generator.py

ThanhChinhBK/MatchZoo

f77403044bca4ff0a84738921180724a54fd42f9

[ "Apache-2.0" ]

null

matchzoo/data_generator/dynamic_data_generator.py

ThanhChinhBK/MatchZoo

f77403044bca4ff0a84738921180724a54fd42f9

[ "Apache-2.0" ]

null

"""Dynamic data generator with transform function inside.""" import numpy as np from matchzoo.data_generator import DataGenerator class DynamicDataGenerator(DataGenerator): """ Data generator with preprocess unit inside. Examples: >>> import matchzoo as mz >>> raw_data = mz.datasets.toy.load_data() >>> data_generator = DynamicDataGenerator(len, data_pack=raw_data, ... batch_size=1, shuffle=False) >>> len(data_generator) 100 >>> x, y = data_generator[0] >>> type(x) <class 'dict'> >>> x.keys() dict_keys(['id_left', 'text_left', 'id_right', 'text_right']) >>> type(x['id_left']) <class 'numpy.ndarray'> >>> type(x['id_right']) <class 'numpy.ndarray'> >>> type(x['text_left']) <class 'numpy.ndarray'> >>> type(x['text_right']) <class 'numpy.ndarray'> >>> type(y) <class 'numpy.ndarray'> """ def __init__(self, func, *args, **kwargs): """:class:`DynamicDataGenerator` constructor.""" super().__init__(*args, **kwargs) self._func = func def _get_batch_of_transformed_samples(self, indices: np.array): """ Get a batch of samples based on their ids. :param indices: A list of instance ids. :return: A batch of transformed samples. """ return self._data_pack[indices].apply_on_text( self._func, verbose=0).unpack()

30.68

78

0.567797

170

1,534

4.905882

0.405882

0.093525

0.101918

0.100719

0.135492

0.098321

0

0.00552

0.291395

1,534

49

79

31.306122

0.76173

0.623859

0

1

0.222222

false

0

0.222222

0

0.666667

0

null

0

null

0

1

0

1

0

2

97331be74487f5701fd3082af845c9f2cd54d805

167

py

Python

src/user-config.py

aryamanarora/wdp

331de5c76baf849790d7c4fb445d71599db99ae6

[ "MIT" ]

null

src/user-config.py

aryamanarora/wdp

331de5c76baf849790d7c4fb445d71599db99ae6

[ "MIT" ]

null

src/user-config.py

aryamanarora/wdp

331de5c76baf849790d7c4fb445d71599db99ae6

[ "MIT" ]

null

family = 'wiktionary' mylang = 'en' usernames['wiktionary']['en'] = u'AryamanA' # change to your username console_encoding = 'utf-8' minthrottle = 0 maxthrottle = 1

18.555556

69

0.706587

21

167

5.571429

0.904762

0

0.021127

0.149701

167

9

70

18.555556

0.802817

0.137725

0

0.258741

0

1

0

false

0

1

0

null

0

1

0

null

0

2

97625124976081b5c5a18735b086161919e65334

3,265

py

Python

tests/conftest.py

ni/nitsm-python

c6ae0abbae5c71198a9516fb2449b046fe6201dc

[ "MIT" ]

4

2021-08-21T06:21:45.000Z

2021-12-27T05:27:43.000Z

tests/conftest.py

ni/nitsm-python

c6ae0abbae5c71198a9516fb2449b046fe6201dc

[ "MIT" ]

51

2021-07-28T14:48:04.000Z

2022-03-25T02:35:40.000Z

tests/conftest.py

ni/nitsm-python

c6ae0abbae5c71198a9516fb2449b046fe6201dc

[ "MIT" ]

2

2021-06-23T19:53:17.000Z

2022-03-27T20:10:27.000Z

import enum import os.path import pytest import win32com.client import win32com.client.selecttlb import pythoncom import nitsm.codemoduleapi try: _standalone_tsm_context_tlb = win32com.client.selecttlb.FindTlbsWithDescription( "NI TestStand Semiconductor Module Standalone Semiconductor Module Context" )[0] except IndexError: raise RuntimeError( "The TSM Standalone Semiconductor Module Context component is not installed. " "Contact one of the repository owners to determine how to obtain this " "non-public component." ) @pytest.fixture def _published_data_reader_factory(request): # get absolute path of the pin map file which is assumed to be relative to the test module pin_map_path = request.node.get_closest_marker("pin_map").args[0] module_directory = os.path.dirname(request.module.__file__) pin_map_path = os.path.join(module_directory, pin_map_path) published_data_reader_factory = win32com.client.Dispatch( "NationalInstruments.TestStand.SemiconductorModule.Restricted.PublishedDataReaderFactory" ) return published_data_reader_factory.NewSemiconductorModuleContext(pin_map_path) @pytest.fixture def standalone_tsm_context_com_object(_published_data_reader_factory): return _published_data_reader_factory[0] @pytest.fixture def standalone_tsm_context(standalone_tsm_context_com_object): return nitsm.codemoduleapi.SemiconductorModuleContext(standalone_tsm_context_com_object) class PublishedDataType(enum.Enum): Double = 0 Boolean = 1 String = 2 class PublishedData: def __init__(self, published_data_com_obj): self._published_data = win32com.client.CastTo( published_data_com_obj, "IPublishedData", _standalone_tsm_context_tlb ) self._published_data._oleobj_ = self._published_data._oleobj_.QueryInterface( self._published_data.CLSID, pythoncom.IID_IDispatch ) @property def boolean_value(self) -> bool: return self._published_data.BooleanValue @property def double_value(self) -> float: return self._published_data.DoubleValue @property def pin(self) -> str: return self._published_data.Pin @property def published_data_id(self) -> str: return self._published_data.PublishedDataId @property def site_number(self) -> int: return self._published_data.SiteNumber @property def string_value(self) -> str: return self._published_data.StringValue @property def type(self) -> PublishedDataType: return PublishedDataType(self._published_data.Type) class PublishedDataReader: def __init__(self, published_data_reader_com_obj): self._published_data_reader = win32com.client.CastTo( published_data_reader_com_obj, "IPublishedDataReader", _standalone_tsm_context_tlb ) def get_and_clear_published_data(self): published_data = self._published_data_reader.GetAndClearPublishedData() return [PublishedData(published_data_point) for published_data_point in published_data] @pytest.fixture def published_data_reader(_published_data_reader_factory): return PublishedDataReader(_published_data_reader_factory[1])

32.009804

97

0.759877

379

3,265

6.171504

0.311346

0.172296

0.116289

0.077811

0.276186

0.099188

0

0.007047

0.174273

3,265

101

98

32.326733

0.860534

0.026953

0

0.144737

0

0.115591

0.027402

0

1

0.184211

false

0

0.092105

0.131579

0.513158

0

null

0

null

0

1

0

2

97931078e2833c3d28ea86bb9e8e254f59e82ea4

1,323

py

Python

packages/core/minos-microservice-networks/minos/networks/brokers/__init__.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

null

packages/core/minos-microservice-networks/minos/networks/brokers/__init__.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

null

packages/core/minos-microservice-networks/minos/networks/brokers/__init__.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

null

from .clients import ( BrokerClient, ) from .collections import ( BrokerQueue, InMemoryBrokerQueue, PostgreSqlBrokerQueue, ) from .dispatchers import ( BrokerDispatcher, BrokerRequest, BrokerResponse, BrokerResponseException, ) from .handlers import ( BrokerHandler, BrokerHandlerService, ) from .messages import ( REQUEST_HEADERS_CONTEXT_VAR, REQUEST_REPLY_TOPIC_CONTEXT_VAR, BrokerMessage, BrokerMessageV1, BrokerMessageV1Payload, BrokerMessageV1Status, BrokerMessageV1Strategy, ) from .pools import ( BrokerClientPool, ) from .publishers import ( BrokerPublisher, BrokerPublisherQueue, InMemoryBrokerPublisher, InMemoryBrokerPublisherQueue, PostgreSqlBrokerPublisherQueue, PostgreSqlBrokerPublisherQueueQueryFactory, QueuedBrokerPublisher, ) from .subscribers import ( BrokerSubscriber, BrokerSubscriberBuilder, BrokerSubscriberQueue, BrokerSubscriberQueueBuilder, InMemoryBrokerSubscriber, InMemoryBrokerSubscriberBuilder, InMemoryBrokerSubscriberQueue, InMemoryBrokerSubscriberQueueBuilder, PostgreSqlBrokerSubscriberQueue, PostgreSqlBrokerSubscriberQueueBuilder, PostgreSqlBrokerSubscriberQueueQueryFactory, QueuedBrokerSubscriber, QueuedBrokerSubscriberBuilder, )

24.054545

48

0.779289

69

1,323

14.84058

0.753623

0.019531

0

0.00366

0.173847

1,323

54

49

24.5

0.933211

0

1

0

true

0

0.148148

0

0.148148

0

1

null

0

null

0

1

0

2

9799236da3399b0ece5c30019c02133bfcd6ee25

2,743

py

Python

python-the-hard-way/18-names-variables-code-functions.py

Valka7a/python-playground

f08d4374f2cec2e8b1afec3753854b1ec10ff480

[ "MIT" ]

null

python-the-hard-way/18-names-variables-code-functions.py

Valka7a/python-playground

f08d4374f2cec2e8b1afec3753854b1ec10ff480

[ "MIT" ]

null

python-the-hard-way/18-names-variables-code-functions.py

Valka7a/python-playground

f08d4374f2cec2e8b1afec3753854b1ec10ff480

[ "MIT" ]

null

# Exercise 18: Names, Variables, Code, Functions # Functions do three things: # 1. They name pieces of code the way variables name stings and numbers. # 2. They take arguments the way your scripts take argv. # 3. Using 1 and 2 they let you make your own "mini-scripts" or "tiny commands." # This one is like your scripts with argv def print_two(*args): arg1, arg2 = args print "arg1: %r, arg2: %r" % (arg1, arg2) # Ok, that *args is actually pointless, we can just do this def print_two_again(arg1, arg2): print "arg1: %r, arg2: %r" % (arg1, arg2) # This just takes one argument def print_one(arg1): print "arg1: %r" % arg1 # This one takes no arguments def print_none(): print "I got nothin'." print_two("Zed","Shaw") print_two_again("Zed","Shaw") print_one("First!") print_none() # Describe first function print_two # 1. First we tell Python we want to make a function using # def for "define". # 2. On the same line as def we give the function a name. In # this case we just called it "print_two" but it could also be # "peanuts". It doesn't matter, except that your function # should have a short name that says what it does. # 3. Then we tell it we want *args (asterisk args) which is a # lot like your argv parameter but for functions. This has to # go inside () parentheses to work. # 4. Then we end this line with a : colon, and start indenting. # 5. After the colon all the lines that are indented four spaces # will become attached to this name, print_two. Our first # indented line is one that unpacks the arguments the same as # with your scripts. # 6. To Demonstrate how it works we print these arguments out, # just like we would in a script. # Study Drills # Create a function checklist for later exercises. Write these # checks on an index card and keep it by you while you complete # the rest of these exercises or until you feel you do not need # the index card anymore: # 1. Did you start your function definition with def? # 2. Does your function name have only characters and _ # (underscore) characters? # 3. Did you put an open parenthesis ( right after the # function name? # 4. Did you put your arguments after the parenthesis ( # separated by commas? # 5. Did you make each argument unique (meaning no # duplicated names)? # 6. Did you put a close parenthesis and a colon ): after # the arguments? # 7. Did you indent all lines of code you want in the # function four spaces? No more, no less. # 8. Did you "end" your function by going back to # writing with no indent (dedenting we call it)? # Drill def checklist(first, second, third): print "First: %r, Second: %r, Third: %r" % (first, second, third) checklist("Live","Play","Die")

22.300813

80

0.707255

461

2,743

4.177874

0.40564

0.029076

0.015576

0.014538

0.023884

0

0.016598

0.20926

2,743

122

81

22.483607

0.871369

0.772512

0

0.125

0

0.228302

0

null

0

null

0.8125

0

null

0

null

0

1

0

1

0

2

979ad1431f8eca0ee6a85e0c7dd6d02f95e590a3

1,480

py

Python

tests/test_middleware.py

alekam/django-http-exceptions

7ae86223d7f2fc84577f21df3bcb72a63c23e2bf

[ "Apache-2.0" ]

null

tests/test_middleware.py

alekam/django-http-exceptions

7ae86223d7f2fc84577f21df3bcb72a63c23e2bf

[ "Apache-2.0" ]

null

tests/test_middleware.py

alekam/django-http-exceptions

7ae86223d7f2fc84577f21df3bcb72a63c23e2bf

[ "Apache-2.0" ]

null

# coding: utf-8 from django.test.testcases import TestCase from django.test.utils import override_settings from django.urls.base import reverse class TestsMiddleware(TestCase): def test_success_view(self): resp = self.client.get(reverse('success_view')) self.assertEquals(resp.status_code, 200) self.assertEquals(resp['Content-Type'], 'application/json') data = resp.json() self.assertEquals(data['status'], True) self.assertNotIn('exception', data) def test_fail_view(self): resp = self.client.get(reverse('fail_view')) self.assertEquals(resp.status_code, 500) self.assertEquals(resp['Content-Type'], 'application/json') data = resp.json() self.assertEquals(data['status'], False) self.assertIn('exception', data) self.assertEquals(data[u'exception'], 'ZeroDivisionError') self.assertIn('message', data) self.assertNotIn('traceback', data) @override_settings(DEBUG=True) def test_fail_debug_view(self): resp = self.client.get(reverse('fail_view')) self.assertEquals(resp.status_code, 500) self.assertEquals(resp['Content-Type'], 'application/json') data = resp.json() self.assertEquals(data['status'], False) self.assertIn('exception', data) self.assertEquals(data[u'exception'], 'ZeroDivisionError') self.assertIn('message', data) self.assertIn('traceback', data)

37

67

0.666892

169

1,480

5.751479

0.266272

0.18107

0.123457

0.049383

0.691358

0.656379

0.623457

0

0.008418

0.197297

1,480

39

68

37.948718

0.809764

0.008784

0

0.5625

0

0.16587

0

0.5625

1

0.09375

false

0

0.09375

0

0.21875

0

null

0

1

0

null

0

1

0

2

979e7800496d7a6fead6fe6d12414a0bfbd2fd62

1,611

py

Python

gui/block_views/block_view_factory.py

Wastack/blocky

1f05b142d5a62649205bdd97813e75fd60eadd40

[ "MIT" ]

null

gui/block_views/block_view_factory.py

Wastack/blocky

1f05b142d5a62649205bdd97813e75fd60eadd40

[ "MIT" ]

5

2021-04-24T11:36:48.000Z

2022-02-19T12:20:50.000Z

gui/block_views/block_view_factory.py

Wastack/blocky

1f05b142d5a62649205bdd97813e75fd60eadd40

[ "MIT" ]

null

import logging from typing import Type from game.blocks.block import AbstractBlock from game.blocks.impl.duck_pool import DuckPoolBlock from game.blocks.impl.empty_block import EmptyBlock from game.blocks.impl.melting_ice import MeltingIceBlock from game.blocks.impl.player import Player from game.blocks.impl.rock import RockBlock from game.blocks.impl.boulder import Boulder from gui.block_views.block import BlockView from gui.block_views.duck_pool import DuckPoolBlockView from gui.block_views.empty_block import EmptyBlockView from gui.block_views.melting_ice import MeltingIceBlockView from gui.block_views.player import PlayerBlockView from gui.block_views.rock_block import RockBlockView from gui.block_views.boulder import BoulderView registered_block_views = { EmptyBlockView : EmptyBlock, RockBlockView: RockBlock, PlayerBlockView: Player, MeltingIceBlockView: MeltingIceBlock, DuckPoolBlockView: DuckPoolBlock, BoulderView: Boulder, } def to_block(block_view_type: Type[BlockView]) -> AbstractBlock: return registered_block_views[block_view_type]() def from_block(block: AbstractBlock, canvas) -> BlockView: for view_type, block_type in registered_block_views.items(): if block_type != type(block): continue candidate = view_type.from_block(canvas, block) if candidate is None: raise ValueError("Factory failed. Block view does not support block.") return candidate logging.error(f"No registered block view is found for block of type: {type(block)}") raise ValueError("block view factory failed")

37.465116

88

0.787089

208

1,611

5.947115

0.274038

0.080841

0.079224

0.0962

0

0.148355

1,611

42

89

38.357143

0.901604

0

0.087523

0

1

0.055556

false

0

0.444444

0.027778

0.555556

0

null

0

null

0

1

0

1

0

2

97b6c44d2062abf016020d84821ec53b3dc0ac1d

1,740

py

Python

src/pyraug/trainers/training_config.py

clementchadebec/pyraug

d1b36c060fe56427ed158ecb38cdbc6cc3bc0f74

[ "Apache-2.0" ]

53

2021-09-05T09:04:38.000Z

2022-03-22T05:34:23.000Z

src/pyraug/trainers/training_config.py

clementchadebec/pyraug

d1b36c060fe56427ed158ecb38cdbc6cc3bc0f74

[ "Apache-2.0" ]

2

2021-09-28T08:10:37.000Z

2021-12-13T10:32:54.000Z

src/pyraug/trainers/training_config.py

clementchadebec/pyraug

d1b36c060fe56427ed158ecb38cdbc6cc3bc0f74

[ "Apache-2.0" ]

6

2021-09-05T01:03:48.000Z

2021-10-13T01:03:08.000Z

from typing import Union from pydantic.dataclasses import dataclass from pyraug.config import BaseConfig @dataclass class TrainingConfig(BaseConfig): """ :class:`~pyraug.trainers.training_config.TrainingConfig` is the class in which all the training arguments are stored. This instance is then provided to a :class:`~pyraug.trainers.Trainer` instance which performs a model training. Parameters: output_dir (str): The directory where model checkpoints, configs and final model will be stored. Default: None. batch_size (int): The number of training samples per batch. Default 50 max_epochs (int): The maximal number of epochs for training. Default: 10000 learning_rate (int): The learning rate applied to the `Optimizer`. Default: 1e-3 train_early_stopping (int): The maximal number of epochs authorized without train loss improvement. If None no early stopping is performed. Default: 50 eval_early_stopping (int): The maximal number of epochs authorized without eval loss improvement. If None no early stopping is performed. Default: None steps_saving (int): A model checkpoint will be saved every `steps_saving` epoch seed (int): The random seed for reprodicibility no_cuda (bool): Disable `cuda` training. Default: False verbose (bool): Allow verbosity """ output_dir: str = None batch_size: int = 50 max_epochs: int = 10000 learning_rate: float = 1e-4 train_early_stopping: Union[int, None] = 50 eval_early_stopping: Union[int, None] = None steps_saving: Union[int, None] = None seed: int = 8 no_cuda: bool = False verbose: bool = True

33.461538

109

0.700575

232

1,740

5.159483

0.409483

0.030075

0.032581

0.047619

0.249791

0.20802

0.185464

0

0.017254

0.233908

1,740

51

110

34.117647

0.88072

0.675862

0

1

0

true

0

0.2

0

0.933333

0

null

0

null

0

1

0

1

0

2

97b75a6ed9e40dba55b3f2530d0b54ee643ccc95

10,841

py

Python

azure-devops/azext_devops/dev/boards/iteration.py

cryptotheoryum/azure-devops-cli-extension

ac9fc127bda9bc78781caab5e932f2357882d3c2

[ "MIT" ]

null

azure-devops/azext_devops/dev/boards/iteration.py

cryptotheoryum/azure-devops-cli-extension

ac9fc127bda9bc78781caab5e932f2357882d3c2

[ "MIT" ]

null

azure-devops/azext_devops/dev/boards/iteration.py

cryptotheoryum/azure-devops-cli-extension

ac9fc127bda9bc78781caab5e932f2357882d3c2

[ "MIT" ]

null

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- from knack.util import CLIError from azext_devops.devops_sdk.v5_0.work_item_tracking.models import WorkItemClassificationNode from azext_devops.devops_sdk.v5_0.work.models import (TeamContext, TeamSettingsIteration) from azext_devops.dev.common.arguments import convert_date_only_string_to_iso8601 from azext_devops.dev.common.services import (resolve_instance_and_project, get_work_item_tracking_client, get_work_client) _STRUCTURE_GROUP_ITERATION = 'iterations' def get_project_iterations(depth=1, path=None, organization=None, project=None, detect=None): """List iterations for a project. :param depth: Depth of child nodes to be fetched. :type depth: int """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_item_tracking_client(organization) list_of_iterations = client.get_classification_node(project=project, structure_group=_STRUCTURE_GROUP_ITERATION, depth=depth, path=path) return list_of_iterations def update_project_iteration(path, child_id=None, name=None, start_date=None, finish_date=None, organization=None, project=None, detect=None): """Move iteration or update iteration details like name AND/OR start-date and finish-date. :param name: New name of the iteration. :type: str :param child_id: Move an existing iteration and add as child node for this iteration. :type: int """ if start_date is None and finish_date is None and name is None and child_id is None: raise CLIError('At least one of --start-date , --finish-date , --child-id or --name arguments is required.') organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_item_tracking_client(organization) if child_id: move_classification_node_object = WorkItemClassificationNode() move_classification_node_object.id = child_id update_iteration = client.create_or_update_classification_node(project=project, posted_node=move_classification_node_object, structure_group=_STRUCTURE_GROUP_ITERATION, path=path) classification_node_object = client.get_classification_node(project=project, structure_group=_STRUCTURE_GROUP_ITERATION, path=path) if classification_node_object.attributes is None and \ ((start_date and not finish_date) or (not start_date and finish_date)): raise CLIError('You must specify both start and finish dates or neither date') if classification_node_object.attributes is None: attributes_obj = {} classification_node_object.attributes = attributes_obj if start_date: start_date = convert_date_only_string_to_iso8601(value=start_date, argument='start_date') classification_node_object.attributes['startDate'] = start_date if finish_date: finish_date = convert_date_only_string_to_iso8601(value=finish_date, argument='finish_date') classification_node_object.attributes['finishDate'] = finish_date if name is not None: classification_node_object.name = name update_iteration = client.update_classification_node(project=project, posted_node=classification_node_object, structure_group=_STRUCTURE_GROUP_ITERATION, path=path) return update_iteration def delete_project_iteration(path, organization=None, project=None, detect=None): """Delete iteration. """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_item_tracking_client(organization) response = client.delete_classification_node(project=project, structure_group=_STRUCTURE_GROUP_ITERATION, path=path) return response def get_project_iteration(id, organization=None, project=None, detect=None): # pylint: disable=redefined-builtin """Show iteration details for a project. :param id: Iteration ID. :type id: int """ ids = [int(id)] organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_item_tracking_client(organization) response = client.get_classification_nodes(project=project, ids=ids) return response def create_project_iteration(name, path=None, start_date=None, finish_date=None, organization=None, project=None, detect=None): """Create iteration. :param name: Name of the iteration. :type: str """ import pdb pdb.set_trace() if start_date is None and finish_date is None and name is None: raise CLIError('At least one of --start-date , --finish-date or --name arguments is required.') organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_item_tracking_client(organization) classification_node_object = WorkItemClassificationNode() if ((start_date and not finish_date) or (not start_date and finish_date)): raise CLIError('You must specify both start and finish dates or neither date') if classification_node_object.attributes is None: attributes_obj = {} classification_node_object.attributes = attributes_obj if start_date: start_date = convert_date_only_string_to_iso8601(value=start_date, argument='start_date') classification_node_object.attributes['startDate'] = start_date if finish_date: finish_date = convert_date_only_string_to_iso8601(value=finish_date, argument='finish_date') classification_node_object.attributes['finishDate'] = finish_date if name is not None: classification_node_object.name = name response = client.create_or_update_classification_node(project=project, posted_node=classification_node_object, structure_group=_STRUCTURE_GROUP_ITERATION, path=path) return response def get_team_iterations(team, timeframe=None, organization=None, project=None, detect=None): """List iterations for a team. :param team: The name or id of the team. :type team: str :param timeframe: A filter for which iterations are returned based on relative time. Only Current is supported currently. :type: str :rtype: :class:`<WebApiTeam> <v5_0.core.models.WebApiTeam>` """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_client(organization) team_context = TeamContext(project=project, team=team) list_of_iterations = client.get_team_iterations(team_context=team_context, timeframe=timeframe) return list_of_iterations def get_team_iteration(id, team, organization=None, project=None, detect=None): # pylint: disable=redefined-builtin """ Get iteration details for a team. :param id: Identifier of the iteration. :type: str :param team: Name or ID of the team. :type: str """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_client(organization) team_context = TeamContext(project=project, team=team) team_iteration = client.get_team_iteration(team_context=team_context, id=id) return team_iteration def delete_team_iteration(id, team, organization=None, project=None, detect=None): # pylint: disable=redefined-builtin """ Remove iteration from a team. :param id: Identifier of the iteration. :type: str :param team: Name or ID of the team. :type: str """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_client(organization) team_context = TeamContext(project=project, team=team) team_iteration = client.delete_team_iteration(team_context=team_context, id=id) return team_iteration def post_team_iteration(id, team, organization=None, project=None, detect=None): # pylint: disable=redefined-builtin """Add iteration to a team. :param id: Identifier of the iteration. :type: str :param team: Name or ID of the team. :type: str """ organization, project = resolve_instance_and_project(detect=detect, organization=organization, project=project) client = get_work_client(organization) team_context = TeamContext(project=project, team=team) team_setting_iteration = TeamSettingsIteration(id=id) team_iteration = client.post_team_iteration(iteration=team_setting_iteration, team_context=team_context) return team_iteration

53.935323

119

0.617102

1,122

10,841

5.702317

0.131016

0.067521

0.039075

0.750234

0.716318

0.697249

0.687402

0.677712

0

0.00357

0.302463

10,841

200

120

54.205

0.842502

0.151001

0

0.618321

0

0.007634

0.041903

0

1

0.068702

false

0

0.045802

0

0.183206

0

null

0

1

0

1

0

null

0

2

97ccb55e8a7a80cc164488089098bcbe7bd34bb5

1,802

py

Python

sdv/docker/sdvstate/internal/display_report.py

opnfv/cirv-sdv

31fb310d3fd1c9c1f12cfe0c654870e24f5efab6

[ "Apache-2.0" ]

2

2021-09-16T06:31:45.000Z

2022-03-09T19:59:55.000Z

sdv/docker/sdvstate/internal/display_report.py

opnfv/cirv-sdv

31fb310d3fd1c9c1f12cfe0c654870e24f5efab6

[ "Apache-2.0" ]

null

sdv/docker/sdvstate/internal/display_report.py

opnfv/cirv-sdv

31fb310d3fd1c9c1f12cfe0c654870e24f5efab6

[ "Apache-2.0" ]

2

2021-05-11T14:41:01.000Z

2021-05-14T05:59:38.000Z

# Copyright 2020 University Of Delhi. # # 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. """Display Report """ import logging from datetime import datetime as dt def display_report(report): """ Logs the final report """ installer = report['installer'] result = report['criteria'] start_time = dt.strptime(report['start_date'], '%Y-%m-%d %H:%M:%S') stop_time = dt.strptime(report['stop_date'], '%Y-%m-%d %H:%M:%S') duration = (stop_time - start_time).total_seconds() logger = logging.getLogger(__name__) logger.info('') logger.info('') logger.info('========================================') logger.info('') logger.info(f' Installer: {installer}') logger.info(f' Duration: {duration}') logger.info(f' Result: {result}') logger.info('') logger.info('') logger.info(f' CHECKS PASSED:') logger.info(' =============') for case_name in report['details']['pass']: logger.info(f' {case_name}') logger.info('') logger.info('') logger.info(f' CHECKS FAILED:') logger.info(' =============') for case_name in report['details']['fail']: logger.info(f' {case_name}') logger.info('') logger.info('========================================') logger.info('') logger.info('')

31.068966

74

0.613762

229

1,802

4.759825

0.441048

0.192661

0.161468

0.201835

0.274312

0.255046

0.13945

0.089908

0

0.005457

0.186459

1,802

57

75

31.614035

0.738063

0.329079

0

0.5

0

0.275745

0.068085

0

1

0.03125

false

0.0625

0

0.09375

0

null

0

1

0

null

0

1

0

2

8ad829d019343b42c86560e53d7ba243a326e901

235

py

Python

saveggs.py

ov357/gg3

512e9dd7445bd8208cc30729a222ac0e1a16a5ad

[ "MIT" ]

null

saveggs.py

ov357/gg3

512e9dd7445bd8208cc30729a222ac0e1a16a5ad

[ "MIT" ]

null

saveggs.py

ov357/gg3

512e9dd7445bd8208cc30729a222ac0e1a16a5ad

[ "MIT" ]

null

# purpose : save data tp different destinations # 1. txt file # 2. mysql Db # 3. mongo Db # 4. redis db # 5. from a structured text tile (1.) can be derived any storage in others DB def save_txt(data=[]): pass def ():

19.583333

78

0.634043

39

235

3.794872

0.794872

0

0.034682

0.26383

235

11

79

21.363636

0.820809

0.719149

0

null

0.333333

0

null

0

null

0

null

0

1

0

1

0

2

8addaee452739763657d0fd7290670e8583fe55d

843

py

Python

docs/examples/schema_unenforced_constraints.py

jasujm/pydantic

cc1cb4826c74ac5b651ef2d80c3478428a9950ca

[ "MIT" ]

6

2021-08-11T11:37:59.000Z

2021-11-12T01:33:11.000Z

docs/examples/schema_unenforced_constraints.py

jasujm/pydantic

cc1cb4826c74ac5b651ef2d80c3478428a9950ca

[ "MIT" ]

197

2020-08-31T06:20:39.000Z

2022-03-29T10:04:22.000Z

docs/examples/schema_unenforced_constraints.py

jasujm/pydantic

cc1cb4826c74ac5b651ef2d80c3478428a9950ca

[ "MIT" ]

2

2021-11-23T16:28:21.000Z

2021-11-23T16:28:33.000Z

from pydantic import BaseModel, Field, PositiveInt try: # this won't work since PositiveInt takes precedence over the # constraints defined in Field meaning they're ignored class Model(BaseModel): foo: PositiveInt = Field(..., lt=10) except ValueError as e: print(e) # but you can set the schema attribute directly: # (Note: here exclusiveMaximum will not be enforce) class Model(BaseModel): foo: PositiveInt = Field(..., exclusiveMaximum=10) print(Model.schema()) # if you find yourself needing this, an alternative is to declare # the constraints in Field (or you could use conint()) # here both constraints will be enforced: class Model(BaseModel): # Here both constraints will be applied and the schema # will be generated correctly foo: int = Field(..., gt=0, lt=10) print(Model.schema())

27.193548

65

0.716489

117

843

5.162393

0.589744

0.049669

0.094371

0.072848

0.208609

0.125828

0

0.010309

0.194543

843

30

66

28.1

0.879234

0.530249

0

0.416667

0

1

0

true

0

0.083333

0

0.583333

0.25

0

null

0

null

0

1

0

1

0

2

8ae152e48dca5109d41d1d51681d99c7dc6def3a

778

py

Python

lectures/L7/test_roots.py

JasmineeeeeTONG/CS207_coursework

666239ee5f8bd7cbe04725a52870191a3d40d8c2

[ "MIT" ]

null

lectures/L7/test_roots.py

JasmineeeeeTONG/CS207_coursework

666239ee5f8bd7cbe04725a52870191a3d40d8c2

[ "MIT" ]

null

lectures/L7/test_roots.py

JasmineeeeeTONG/CS207_coursework

666239ee5f8bd7cbe04725a52870191a3d40d8c2

[ "MIT" ]

null

import roots def test_quadroots_result(): assert roots.quad_roots(1.0, 1.0, -12.0) == ((3+0j), (-4+0j)) def test_quadroots_types(): try: roots.quad_roots("", "green", "hi") except TypeError as err: assert(type(err) == TypeError) def test_quadroots_zerocoeff(): try: roots.quad_roots(a=0.0) except ValueError as err: assert(type(err) == ValueError) def test_linearoots_result(): assert roots.linear_roots(2.0, -3.0) == 1.5 def test_linearroots_types(): try: roots.linear_roots("ocean", 6.0) except TypeError as err: assert(type(err) == TypeError) def test_linearroots_zerocoeff(): try: roots.linear_roots(a=0.0) except ValueError as err: assert(type(err) == ValueError)

25.096774

65

0.636247

109

778

4.376147

0.302752

0.08805

0.092243

0.125786

0.42348

0

0.038079

0.22365

778

31

66

25.096774

0.751656

0

0.48

0

0.015404

0

0.24

1

0.24

true

0

0.04

0

0.28

0

null

0

null

0

1

0

2

8aeb2dbeffb758e969b18b024f9ee0e784ccff04

270

py

Python

Enumerate.py

viraldii/PracticeBin

1506c3928acf7f1686522375279076be8d867890

[ "Apache-2.0" ]

null

Enumerate.py

viraldii/PracticeBin

1506c3928acf7f1686522375279076be8d867890

[ "Apache-2.0" ]

1

2020-01-23T02:08:35.000Z

Enumerate.py

viraldii/PracticeBin

1506c3928acf7f1686522375279076be8d867890

[ "Apache-2.0" ]

null

#By enumerating with two variables for i,char in enumerate('enumerate'): print(1,char) for i,c in enumerate(list(range(100))): print(i,c) if c == 50: #F is to make the print be able to format the i to a value. print(f'Index of 50 is: {i}')

24.545455

67

0.622222

50

270

3.36

0.6

0.047619

0

0.039801

0.255556

270

11

68

24.545455

0.79602

0.337037

0

0.159091

0

1

0

true

0

0.5

0

null

0

null

0

1

0

1

0

2

8af40f3b5303c67538d47862d4ea89fbafe5a10c

275

py

Python

Contest/Diverta2019-2/b/main.py

mpses/AtCoder

9c101fcc0a1394754fcf2385af54b05c30a5ae2a

[ "CC0-1.0" ]

null

Contest/Diverta2019-2/b/main.py

mpses/AtCoder

9c101fcc0a1394754fcf2385af54b05c30a5ae2a

[ "CC0-1.0" ]

null

Contest/Diverta2019-2/b/main.py

mpses/AtCoder

9c101fcc0a1394754fcf2385af54b05c30a5ae2a

[ "CC0-1.0" ]

null

#!/usr/bin/env python3 (n,), *z = [[*map(int, o.split())] for o in open(0)] if n == 1: print(1) exit() from itertools import* from collections import* print(n - Counter((z[i][0] - z[j][0], z[i][1] - z[j][1]) for i, j in permutations(range(n), 2)).most_common()[0][1])

34.375

116

0.578182

54

275

2.925926

0.555556

0.025316

0

0.047619

0.16

275

8

116

34.375

0.636364

0.076364

0

1

0

true

0

0.285714

0

0.285714

0

null

0

1

0

null

0

1

0

2

8afadaffb6ff5453ff6ae417e73f1332e3530dcd

464

py

Python

opacus/optimizers/utils.py

RQuispeC/opacus

5c83d59fc169e93667946204f7a6859827a38ace

[ "Apache-2.0" ]

null

opacus/optimizers/utils.py

RQuispeC/opacus

5c83d59fc169e93667946204f7a6859827a38ace

[ "Apache-2.0" ]

null

opacus/optimizers/utils.py

RQuispeC/opacus

5c83d59fc169e93667946204f7a6859827a38ace

[ "Apache-2.0" ]

null

from typing import List import torch.nn as nn from torch.optim import Optimizer def params(optimizer: Optimizer) -> List[nn.Parameter]: """ Return all parameters controlled by the optimizer Args: optimizer: optimizer Returns: Flat list of parameters from all ``param_groups`` """ ret = [] for param_group in optimizer.param_groups: ret += [p for p in param_group["params"] if p.requires_grad] return ret

23.2

68

0.670259

62

464

4.935484

0.516129

0.117647

0.091503

0

0.247845

464

19

69

24.421053

0.876791

0.310345

0

0.020833

0

1

0.125

false

0

0.375

0

0.625

0

null

0

null

0

1

0

1

0

2

c1038aed1bd58ceaa917168c946c267ceee969b9

161

py

Python

test/login.py

zhangrule/info

567b71b04d1126703901ad8c128fa61c580ea833

[ "MIT" ]

null

test/login.py

zhangrule/info

567b71b04d1126703901ad8c128fa61c580ea833

[ "MIT" ]

null

test/login.py

zhangrule/info

567b71b04d1126703901ad8c128fa61c580ea833

[ "MIT" ]

null

分支合并dev change agin zhangsan num5 = 500 change zhangsan changge master pay function num4 = 400 num3 = 300 write code num1 = 100 num2 = 200 num3 = 300

6.708333

20

0.708075

24

161

4.75

0.833333

0.122807

0

0.2

0.254658

161

23

21

7

0.75

0

0.166667

0

null

0

null

0

1

0

null

0

null

0

1

0

2

c10c209d8eefa006712f9ef0f96331b9b5940208

328

py

Python

Leetcode/0235. Lowest Common Ancestor of a Binary Search Tree.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

1

2021-07-15T18:40:26.000Z

Leetcode/0235. Lowest Common Ancestor of a Binary Search Tree.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

Leetcode/0235. Lowest Common Ancestor of a Binary Search Tree.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

class Solution: def lowestCommonAncestor(self, root, p, q): curr = root while curr: if p.val > curr.val and q.val > curr.val: curr = curr.right elif p.val < curr.val and q.val < curr.val: curr = curr.left else: return curr

27.333333

55

0.481707

41

328

3.853659

0.439024

0.265823

0.253165

0.139241

0.417722

0

0.432927

328

11

56

29.818182

0.849462

0

1

0.1

false

0

0.3

0

null

1

0

null

0

2

c1156e62e10fcfa44cd8ab625507ebd8dcbb9c3b

1,174

py

Python

src/graphics/font.py

JacobLondon/pyngine

3a87347dfd23f86708f27259126cddc43db3fa4b

[ "MIT" ]

null

src/graphics/font.py

JacobLondon/pyngine

3a87347dfd23f86708f27259126cddc43db3fa4b

[ "MIT" ]

null

src/graphics/font.py

JacobLondon/pyngine

3a87347dfd23f86708f27259126cddc43db3fa4b

[ "MIT" ]

null

import pygame class Font(object): """@brief Hold a set of fonts and allow for user defined fonts. """ def __init__(self, font, scale): pygame.font.init() # details about the font created self.name = font # scale is the ratio of screen width / number of grids wide the screen is self.scale = scale # make a set of font point sizes for built in components to use self.set = {} # default fonts self.set['small'] = self.named_font(10) self.set['standard'] = self.named_font(20) self.set['large'] = self.named_font(40) def __setitem__(self, key, val): """@brief Add user defined fonts. """ self.set[key] = val def __getitem__(self, key): """@brief Get set fonts. """ return self.set[key] def named_font(self, point): """@brief Create a font from the specified name. """ return Font.create(self.name, point * self.scale) @staticmethod def create(font_name, point): """@brief Simplify creating a font. """ return pygame.font.SysFont(font_name, int(point))

27.302326

81

0.584327

154

1,174

4.337662

0.409091

0.062874

0.058383

0

0.007344

0.304089

1,174

42

82

27.952381

0.810282

0.351789

0

0.02459

0

1

0.263158

false

0

0.052632

0

0.526316

0

null

0

null

0

1

0

1

0

2

c119892859d82d6da7dbee6b2a8b3a8efb28c7eb

2,418

py

Python

backend/api/views/import_export.py

skaghzz/doccano

6b370028d414652fd1e141dda53beb3ebc318247

[ "MIT" ]

3,989

2019-12-01T22:34:26.000Z

2022-03-31T23:21:50.000Z

backend/api/views/import_export.py

FDlucifer/doccano

34a8d83347235a2dd2d63149962a41b0229bb98d

[ "MIT" ]

986

2019-12-02T06:31:29.000Z

2022-03-31T16:38:59.000Z

backend/api/views/import_export.py

FDlucifer/doccano

34a8d83347235a2dd2d63149962a41b0229bb98d

[ "MIT" ]

993

2019-12-02T17:25:42.000Z

2022-03-31T10:05:07.000Z

from django.conf import settings from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework.views import APIView class Features(APIView): permission_classes = (IsAuthenticated,) def get(self, request, *args, **kwargs): return Response({ 'cloud_upload': bool(settings.CLOUD_BROWSER_APACHE_LIBCLOUD_PROVIDER), }) # class CloudUploadAPI(APIView): # permission_classes = TextUploadAPI.permission_classes # # def get(self, request, *args, **kwargs): # try: # project_id = request.query_params['project_id'] # file_format = request.query_params['upload_format'] # cloud_container = request.query_params['container'] # cloud_object = request.query_params['object'] # except KeyError as ex: # raise ValidationError('query parameter {} is missing'.format(ex)) # # try: # cloud_file = self.get_cloud_object_as_io(cloud_container, cloud_object) # except ContainerDoesNotExistError: # raise ValidationError('cloud container {} does not exist'.format(cloud_container)) # except ObjectDoesNotExistError: # raise ValidationError('cloud object {} does not exist'.format(cloud_object)) # # TextUploadAPI.save_file( # user=request.user, # file=cloud_file, # file_format=file_format, # project_id=project_id, # ) # # next_url = request.query_params.get('next') # # if next_url == 'about:blank': # return Response(data='', content_type='text/plain', status=status.HTTP_201_CREATED) # # if next_url: # return redirect(next_url) # # return Response(status=status.HTTP_201_CREATED) # # @classmethod # def get_cloud_object_as_io(cls, container_name, object_name): # provider = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_PROVIDER.lower() # account = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_ACCOUNT # key = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_SECRET_KEY # # driver = get_driver(DriverType.STORAGE, provider) # client = driver(account, key) # # cloud_container = client.get_container(container_name) # cloud_object = cloud_container.get_object(object_name) # # return iterable_to_io(cloud_object.as_stream())

37.2

97

0.667907

259

2,418

5.938224

0.335907

0.057217

0.058518

0.06762

0.221066

0.089727

0

0.00324

0.234078

2,418

64

98

37.78125

0.827214

0.788255

0

0.025974

0

1

0.1

false

0

0.4

0.1

0.8

0

null

0

null

0

1

0

1

0

2

c122407f74bca18ed3a4dd9fdc8afa5df861b808

302

py

Python

server/python/download_tower_data.py

saru-d2/partnet_anno_system

8e151e7bf882f3812027fad56cce2aef0db1fb56

[ "MIT" ]

null

server/python/download_tower_data.py

saru-d2/partnet_anno_system

8e151e7bf882f3812027fad56cce2aef0db1fb56

[ "MIT" ]

null

server/python/download_tower_data.py

saru-d2/partnet_anno_system

8e151e7bf882f3812027fad56cce2aef0db1fb56

[ "MIT" ]

1

2021-12-14T13:39:30.000Z

import numpy as np import json import sys import os from subprocess import call from jio_filestore.io.azure_filestore import ObjectStoreFactory from .configs import file_store_config fs = ObjectStoreFactory(file_store_config) # connect to database # list all items in file store items = fs.list() #

20.133333

63

0.81457

45

302

5.333333

0.6

0.1125

0.125

0

0.142384

302

15

64

20.133333

0.926641

0.15894

0

1

0

false

0

0.777778

0

0.777778

0

null

0

null

0

1

0

1

0

2

c128a2d014a27ade154f82857c2526f48e93002c

279

py

Python

tests/unit/document/test_namedscore.py

fastflair/docarray

0bbdbc816b2f4a3b399779f6816875fbc1dfe862

[ "Apache-2.0" ]

591

2022-01-09T14:39:59.000Z

2022-03-31T13:19:39.000Z

tests/unit/document/test_namedscore.py

fastflair/docarray

0bbdbc816b2f4a3b399779f6816875fbc1dfe862

[ "Apache-2.0" ]

210

2022-01-10T07:59:29.000Z

2022-03-31T14:49:18.000Z

tests/unit/document/test_namedscore.py

fastflair/docarray

0bbdbc816b2f4a3b399779f6816875fbc1dfe862

[ "Apache-2.0" ]

40

2022-01-09T14:52:20.000Z

2022-03-31T07:59:45.000Z

import pytest from docarray.score import NamedScore @pytest.mark.parametrize( 'init_args', [None, dict(value=123, description='hello'), NamedScore()] ) @pytest.mark.parametrize('copy', [True, False]) def test_construct_ns(init_args, copy): NamedScore(init_args, copy)

23.25

75

0.741935

36

279

5.611111

0.638889

0.118812

0.19802

0.306931

0

0.012146

0.114695

279

11

76

25.363636

0.805668

0

0.064516

0

1

0.125

false

0

0.25

0

0.375

0

null

0

1

0

null

0

2

c13b548451d08206d749e0cf96c9708e4317ba96

1,677

py

Python

test_geo.py

dm937/dm937-and-rem76-PartIA-Flood-Warning-System

6c91174eb43fd20af0ff35650c26b761eef61af1

[ "MIT" ]

null

test_geo.py

dm937/dm937-and-rem76-PartIA-Flood-Warning-System

6c91174eb43fd20af0ff35650c26b761eef61af1

[ "MIT" ]

null

test_geo.py

dm937/dm937-and-rem76-PartIA-Flood-Warning-System

6c91174eb43fd20af0ff35650c26b761eef61af1

[ "MIT" ]

null

from distutils.command import build from floodsystem.geo import stations_by_distance, stations_within_radius, rivers_by_station_number, rivers_with_station, stations_by_river from floodsystem.stationdata import build_station_list AllStations = build_station_list() def test_call_stations_by_distance(): x = stations_by_distance(AllStations, (52.2053, 0.1218)) def test_correct_lengths_stations_by_distance(): assert len(build_station_list()) == len(stations_by_distance(AllStations, (52.2053, 0.1218))) # checking special values don't affect the program assert len(AllStations) == len(stations_by_distance(AllStations, (0, 0))) assert len(AllStations) == len(stations_by_distance(AllStations, (-90, 90))) assert len(AllStations) == len(stations_by_distance(AllStations, (90, -90))) def test_stations_within_radius(): assert len(stations_within_radius(AllStations, (52.2053, 0.1218), 10000)) == len(AllStations) assert len(stations_within_radius(AllStations, (52.2053, 0.1218), 10)) > 0 assert len(stations_within_radius(AllStations, (52.2053, 0.1218), 1)) < len(stations_within_radius(AllStations, (52.2053, 0.1218), 10)) def test_rivers_by_station_number(): river_test = rivers_by_station_number(AllStations, 10) assert len(river_test) >= 1 assert river_test[1][1] >= river_test[4][1] assert type(river_test) == list assert type(river_test[2]) == tuple def test_rivers_with_station(): assert len(rivers_with_station(AllStations)) > 0 assert len(rivers_with_station([])) == 0 def test_stations_with_river(): assert len(stations_by_river(AllStations)) > 0 assert len(stations_by_river([])) == 0

47.914286

139

0.756708

236

1,677

5.063559

0.20339

0.090377

0.120502

0.090377

0.501255

0.373222

0.262762

0

0.067531

0.12582

1,677

34

140

49.323529

0.747613

0.028623

0

0.555556

1

0.222222

false

0

0.111111

0

0.333333

0

null

0

null

0

1

0

1

0

2

c15976f9dfb10ad059519280d7da6a524874120c

542

py

Python

DappurMake/core/helper.py

DapperX/DappurMake

48a9559e891890a3b797fdf8f51cc17d6daf56d3

[ "BSD-2-Clause" ]

null

DappurMake/core/helper.py

DapperX/DappurMake

48a9559e891890a3b797fdf8f51cc17d6daf56d3

[ "BSD-2-Clause" ]

null

DappurMake/core/helper.py

DapperX/DappurMake

48a9559e891890a3b797fdf8f51cc17d6daf56d3

[ "BSD-2-Clause" ]

null

from .. import core print(dir(core)) def warn(s): print("[Warning] ", s) class decorator: @staticmethod def ensure_instance(cls_): def wrapper(func): def inner(self, x, *args, **kwargs): cls = eval(cls_) if not isinstance(x, cls): x = cls(x) return func(self, x, *args, **kwargs) return inner return wrapper def wrapper(func, *args, **kwargs): def inner(): return func(*args, **kwargs) return inner def ufset_find(f, u): return u if f[u]==u else ufset_find(f[u]) def nothing(*args, **kwargs): pass

16.9375

42

0.638376

83

542

4.108434

0.409639

0.146628

0.082111

0.087977

0

0.201107

542

32

43

16.9375

0.787529

0

0.086957

0

0.018416

0

1

0.347826

false

0.043478

0.086957

0.695652

0.086957

0

null

0

null

0

1

0

1

0

2

c15c7702960114045389d43cb3a5d1de46060bf5

1,190

py

Python

wk4_hw/ex4_pexpect.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

1

2016-03-01T14:39:17.000Z

wk4_hw/ex4_pexpect.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

wk4_hw/ex4_pexpect.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ Assignment 4: Use Pexpect to change the logging buffer size (logging buffered <size>) on pynet-rtr2. Verify this change by examining the output of 'show run'. """ import pexpect import re from getpass import getpass def main(): ip_addr = '50.76.53.27' username = 'pyclass' port = 8022 password = getpass() # Spawn a child process ssh_conn = pexpect.spawn('ssh -l {} {} -p {}'.format(username, ip_addr, port)) # Set time out ssh_conn.timeout = 3 ssh_conn.expect('ssword:') ssh_conn.sendline(password) ssh_conn.expect("#") # Set logging buffered to 25000 ssh_conn.sendline("configure terminal") ssh_conn.sendline("logging buffered 25000") # Search for pattern "logging buffered 25000" in 'show runn' output pattern = re.compile(r'logging buffered 25000', re.MULTILINE) ssh_conn.sendline("show running-config") ssh_conn.expect(pattern) print "The found matching pattern is:" print ssh_conn.after # Restoring the setting back to 20000 ssh_conn.sendline("configure terminal") ssh_conn.sendline("logging buffered 20000") if __name__ == "__main__": main()

25.869565

144

0.683193

162

1,190

4.882716

0.518519

0.106195

0.11378

0.060683

0.156764

0

0.04772

0.207563

1,190

45

145

26.444444

0.791092

0.157143

0

0.083333

0

0.244284

0

null

0.125

null

0.083333

0

null

0

null

0

1

0

1

0

2

c16a4cc7b348d4eafede0cd48cb9313a66c1e1ca

312

py

Python

jobboardscraper/organizations/views.py

dillonko/jobboardscraper

21d662c3bad2e054c3b43f648e5b276339ee1d32

[ "BSD-3-Clause" ]

null

jobboardscraper/organizations/views.py

dillonko/jobboardscraper

21d662c3bad2e054c3b43f648e5b276339ee1d32

[ "BSD-3-Clause" ]

5

2020-12-09T20:45:28.000Z

2021-12-14T10:38:50.000Z

jobboardscraper/organizations/views.py

dillonko/jobboardscraper

21d662c3bad2e054c3b43f648e5b276339ee1d32

[ "BSD-3-Clause" ]

null

from django.views.generic import DetailView, ListView from pure_pagination.mixins import PaginationMixin from .models import Organization class OrganizationDetailView(DetailView): model = Organization class OrganizationListView(PaginationMixin, ListView): model = Organization paginate_by = 50

20.8

54

0.807692

31

312

8.064516

0.645161

0.136

0

0.007491

0.144231

312

14

55

22.285714

0.928839

0

0.25

0

1

0

false

0

0.375

0

1

0

null

0

null

0

1

0

1

0

2

c1745b638a3ad821606c6fe480d0b1ef0d53d22f

2,514

py

Python

tests/unit/test_urls.py

vCra/Programdom

23d734409102917734e67d233768b494904a5cef

[ "MIT" ]

1

2021-06-14T01:08:55.000Z

tests/unit/test_urls.py

vCra/Programdom

23d734409102917734e67d233768b494904a5cef

[ "MIT" ]

10

2019-01-28T16:03:12.000Z

2019-01-28T16:09:48.000Z

tests/unit/test_urls.py

vCra/Programdom

23d734409102917734e67d233768b494904a5cef

[ "MIT" ]

null

from django.test import TestCase from django.urls import reverse, resolve class TestURLs(TestCase): # Workshop URLs def test_workshop_auth_url(self): path = reverse("workshop_auth") assert resolve(path).view_name == "workshop_auth" def test_workshop_list_url(self): path = reverse("workshop_list") assert resolve(path).view_name == "workshop_list" def test_workshop_new_url(self): path = reverse("workshop_new") assert resolve(path).view_name == "workshop_new" def test_workshop_detail_url(self): path = reverse("workshop_detail", kwargs={"pk": 1}) assert resolve(path).view_name == "workshop_detail" def test_workshop_student_waiting_url(self): path = reverse("workshop_student_waiting", kwargs={"pk": 1}) assert resolve(path).view_name == "workshop_student_waiting" def test_workshop_present_url(self): path = reverse("workshop_present", kwargs={"pk": 1}) assert resolve(path).view_name == "workshop_present" def test_workshop_problems_url(self): path = reverse("workshop_problems", kwargs={"pk": 1}) assert resolve(path).view_name == "workshop_problems" # Problem URLs def test_problem_list_url(self): path = reverse("problem_list") assert resolve(path).view_name == "problem_list" def test_problem_new_url(self): path = reverse("problem_create") assert resolve(path).view_name == "problem_create" def test_problem_detail_url(self): path = reverse("problem_detail", kwargs={"pk": 1}) assert resolve(path).view_name == "problem_detail" def test_problem_delete_url(self): path = reverse("problem_delete", kwargs={"pk": 1}) assert resolve(path).view_name == "problem_delete" def test_problem_student_url(self): path = reverse("problem_student", kwargs={"pk": 1}) assert resolve(path).view_name == "problem_student" def test_problem_test_new_url(self): path = reverse("problem_test_new", kwargs={"pk": 1}) assert resolve(path).view_name == "problem_test_new" def test_problem_test_update_url(self): path = reverse("problem_test_update", kwargs={"pk": 1, "tc_pk": 1}) assert resolve(path).view_name == "problem_test_update" def test_problem_test_delete_url(self): path = reverse("problem_test_delete", kwargs={"pk": 1, "tc_pk": 1}) assert resolve(path).view_name == "problem_test_delete"

35.408451

75

0.675815

321

2,514

4.968847

0.105919

0.065831

0.103448

0.169279

0.660815

0.485266

0.280878

0.062696

0

0.00597

0.200477

2,514

70

76

35.914286

0.787562

0.010342

0

0.199678

0.019324

0

0.3125

1

0.3125

false

0

0.041667

0

0.375

0

null

0

1

0

null

0

1

0

2

c17ab9292db114acd6cfc1d8b109742a1c360eeb

542

py

Python

purchases_storage/source/database/methods/users_methods.py

icYFTL/RTULAB_Service

a16d0fc2ac9ac103f0a14e90824caded7156bf11

[ "Apache-2.0" ]

null

purchases_storage/source/database/methods/users_methods.py

icYFTL/RTULAB_Service

a16d0fc2ac9ac103f0a14e90824caded7156bf11

[ "Apache-2.0" ]

null

purchases_storage/source/database/methods/users_methods.py

icYFTL/RTULAB_Service

a16d0fc2ac9ac103f0a14e90824caded7156bf11

[ "Apache-2.0" ]

null

from ..models import User from .. import Session class UsersMethods: def __init__(self): self.__session = Session() def add_user(self, user: User) -> User: self.__session.add(user) self.__session.commit() return user def get_user(self, **kwargs) -> User: result = [x for x in self.__session.query(User).filter_by(**kwargs)] return result[0] if result else None def remove_user(self, user: User) -> None: self.__session.delete(user) self.__session.commit()

24.636364

76

0.629151

70

542

4.585714

0.4

0.205607

0.140187

0.099688

0

0.002469

0.252768

542

21

77

25.809524

0.790123

0

0.133333

0

1

0.266667

false

0

0.133333

0

0.6

0

null

1

0

null

0

1

0

2

c17eef0234888415ecfe23673ab7bc88d0c6c1fd

663

py

Python

fastecdsa/tests/test_asn1.py

olalonde/fastecdsa

bb650642421fb6d2bf70929ef846ad55f184ac6e

[ "Unlicense" ]

1

2020-01-29T07:18:31.000Z

fastecdsa/tests/test_asn1.py

olalonde/fastecdsa

bb650642421fb6d2bf70929ef846ad55f184ac6e

[ "Unlicense" ]

null

fastecdsa/tests/test_asn1.py

olalonde/fastecdsa

bb650642421fb6d2bf70929ef846ad55f184ac6e

[ "Unlicense" ]

1

2020-05-28T09:28:40.000Z

from os import remove from unittest import TestCase from ..curve import P256 from ..keys import export_key, import_key, gen_keypair class TestAsn1(TestCase): def test_generate_and_parse_pem(self): d, Q = gen_keypair(P256) export_key(d, curve=P256, filepath='p256.key') export_key(Q, curve=P256, filepath='p256.pub') parsed_d, parsed_Q = import_key('p256.key') self.assertEqual(parsed_d, d) self.assertEqual(parsed_Q, Q) parsed_d, parsed_Q = import_key('p256.pub') self.assertTrue(parsed_d is None) self.assertEqual(parsed_Q, Q) remove('p256.key') remove('p256.pub')

28.826087

54

0.666667

95

663

4.442105

0.326316

0.066351

0.149289

0.099526

0.236967

0.127962

0

0.060194

0.223228

663

23

55

28.826087

0.759223

0

0.117647

1

0

0.072289

0

0.235294

1

0.058824

false

0

0.352941

0

0.470588

0

null

0

1

0

null

0

1

0

2

c17f201d4546c262fe99fe1483c742dd30726f31

265

py

Python

methods/abstract_method.py

tinagu945/DeepGMM

e73adc41ea915582159911d7f690283deee70a7d

[ "MIT" ]

23

2019-07-25T05:28:28.000Z

2022-03-27T13:35:10.000Z

DeepGMM/methods/abstract_method.py

edbakhitov/boostIV

ffbf105a72297146d8ccb1916722e35e8d3bc8a4

[ "MIT" ]

2

2020-10-19T19:56:33.000Z

2021-08-25T16:11:49.000Z

DeepGMM/methods/abstract_method.py

edbakhitov/boostIV

ffbf105a72297146d8ccb1916722e35e8d3bc8a4

[ "MIT" ]

10

2020-12-05T17:12:49.000Z

2022-01-10T23:42:37.000Z

__author__ = 'awbennett' class AbstractMethod(object): def __init__(self): pass def fit(self, x_train, z_train, y_train, x_dev, z_dev, y_dev): raise NotImplementedError() def predict(self, x_test): raise NotImplementedError()

22.083333

66

0.667925

33

265

4.909091

0.575758

0.061728

0

0.233962

265

11

67

24.090909

0.79803

0

0.25

0

0.033962

0

1

0.375

false

0.125

0

0.5

0

null

0

null

0

1

0

1

0

2

c1832fbebde82534c72370bca566505203355fad

250

py

Python

build_flags.py

haimgel/hrv_controller

55413f72578b9fc9a48ce06bdc88038207999e68

[ "MIT" ]

null

build_flags.py

haimgel/hrv_controller

55413f72578b9fc9a48ce06bdc88038207999e68

[ "MIT" ]

null

build_flags.py

haimgel/hrv_controller

55413f72578b9fc9a48ce06bdc88038207999e68

[ "MIT" ]

1

2021-04-01T22:01:55.000Z

import subprocess Import("env") gitref = subprocess.run(['git', 'rev-parse', '--short=8', 'HEAD'], stdout=subprocess.PIPE).stdout.decode('utf-8').strip() print("Building gitref: ", gitref) env.Append(CPPDEFINES=[('PIO_SRC_REV', f'\\"{gitref}\\"')])

35.714286

121

0.672

33

250

5.030303

0.69697

0

0.008584

0.068

250

6

122

41.666667

0.703863

0

0.3

0

1

0

false

0

0.4

0

0.4

0.2

0

null

0

1

0

null

0

1

0

2

c1842c45a50591f0ced92a862c8afb23b1839f2d

496

py

Python

tests/test_utils/views.py

Yoann-Vie/esgi-hearthstone

115d03426c7e8e80d89883b78ac72114c29bed12

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

null

tests/test_utils/views.py

Yoann-Vie/esgi-hearthstone

115d03426c7e8e80d89883b78ac72114c29bed12

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

null

tests/test_utils/views.py

Yoann-Vie/esgi-hearthstone

115d03426c7e8e80d89883b78ac72114c29bed12

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

null

from django.http import HttpResponse from django.shortcuts import get_object_or_404 from django.template import Context, Template from .models import Person def get_person(request, pk): person = get_object_or_404(Person, pk=pk) return HttpResponse(person.name) def no_template_used(request): template = Template("This is a string-based template") return HttpResponse(template.render(Context({}))) def empty_response(request): return HttpResponse('')

24.8

59

0.739919

64

496

5.578125

0.453125

0.084034

0.061625

0.078431

0

0.01467

0.175403

496

19

60

26.105263

0.858191

0

0.06499

0

1

0.25

false

0

0.333333

0.083333

0.833333

0

null

0

null

0

1

0

1

0

2

c19ea6fdc224c4d489d16907a82e6093f491cd53

1,336

py

Python

gameevents/db_create.py

danilovbarbosa/sg-gameevents

839de019fb6026c5a9d3178d3109cb2948f19f09

[ "Apache-2.0" ]

null

gameevents/db_create.py

danilovbarbosa/sg-gameevents

839de019fb6026c5a9d3178d3109cb2948f19f09

[ "Apache-2.0" ]

null

gameevents/db_create.py

danilovbarbosa/sg-gameevents

839de019fb6026c5a9d3178d3109cb2948f19f09

[ "Apache-2.0" ]

1

2018-09-28T00:03:29.000Z

''' Created on 15 Oct 2015 @author: mbrandaoca ''' from migrate.versioning import api from config import SQLALCHEMY_DATABASE_URI from config import SQLALCHEMY_MIGRATE_REPO from gameevents_app import db, create_app import os.path import sys app = create_app() with app.app_context(): db.create_all() #Add the admin user from gameevents_app.models.client import Client #Generate random password from random import choice import string chars = string.ascii_letters + string.digits length = 16 randompass = ''.join(choice(chars) for _ in range(length)) admin = Client('administrator', randompass, "admin") db.session.add(admin) try: db.session.commit() sys.stdout.write("Created administrator client: %s, with random apikey %s \n" % (admin.clientid, randompass) ) except Exception as e: sys.stdout.write(e) db.session.rollback() db.session.flush() # for resetting non-commited .add() # # if not os.path.exists(SQLALCHEMY_MIGRATE_REPO): # api.create(SQLALCHEMY_MIGRATE_REPO, 'database repository') # api.version_control(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO) # else: # api.version_control(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO, api.version(SQLALCHEMY_MIGRATE_REPO))

29.688889

118

0.70509

168

1,336

5.440476

0.446429

0.111597

0.137856

0.056893

0.129103

0

0.007519

0.203593

1,336

45

119

29.688889

0.851504

0.320359

0

0.085106

0

1

0

false

0.125

0.375

0

0.375

0

null

0

null

0

1

0

2

c1ae71d018819b93a4ff0e36af2c3f5e9a087889

1,052

py

Python

webhooksocket/models.py

ToxicFrazzles/django-webhooksocket

4ce5bb4e66052ec419c32dc7e281c16a69a7a2a3

[ "MIT" ]

null

webhooksocket/models.py

ToxicFrazzles/django-webhooksocket

4ce5bb4e66052ec419c32dc7e281c16a69a7a2a3

[ "MIT" ]

null

webhooksocket/models.py

ToxicFrazzles/django-webhooksocket

4ce5bb4e66052ec419c32dc7e281c16a69a7a2a3

[ "MIT" ]

null

from django.db import models from django.urls import reverse import secrets def random_ident(): characters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789" return "".join(secrets.choice(characters) for i in range(64)) class Bridge(models.Model): name = models.CharField(max_length=60) hook_ident = models.CharField( verbose_name="Webhook Unique Identifier", max_length=64, unique=True, db_index=True, default=random_ident ) socket_ident = models.CharField( verbose_name="Websocket Unique Identifier", max_length=64, unique=True, db_index=True, default=random_ident ) description = models.CharField(max_length=1024, default="", blank=True) def hook_url(self): return reverse('webhooksocket:hooks', kwargs={ "ident": self.hook_ident }) def socket_url(self): return reverse('webhooksocket:sockets', kwargs={ "ident": self.socket_ident }) def __str__(self): return self.name

28.432432

81

0.676806

118

1,052

5.855932

0.415254

0.086831

0.052098

0.069465

0.376266

0.191028

0

0.026961

0.224335

1,052

36

82

29.222222

0.819853

0

0.206897

0

0.155894

0.078897

0

1

0.137931

false

0

0.103448

0.551724

0

null

0

null

0

1

0

2

c1b104d5122f290eca8d7a13f720b4d5373a0f92

246

py

Python

BasicPythonPrograms/pythonExe6.py

Pushkar745/PythonProgramming

ea60e97b70d46fb63ef203913c8b3f9570232dd3

[ "Apache-2.0" ]

null

BasicPythonPrograms/pythonExe6.py

Pushkar745/PythonProgramming

ea60e97b70d46fb63ef203913c8b3f9570232dd3

[ "Apache-2.0" ]

null

BasicPythonPrograms/pythonExe6.py

Pushkar745/PythonProgramming

ea60e97b70d46fb63ef203913c8b3f9570232dd3

[ "Apache-2.0" ]

null

def findDivisible(numberList): print("Given list is ",numberList) print("Divisible by 5 in a list") for num in numberList: if(num%5==0): print(num) numberList=[10,55,21,26,55] findDivisible(numberList)

30.75

39

0.617886

33

246

4.606061

0.606061

0.302632

0

0.071429

0.260163

246

8

40

30.75

0.763736

0

0.157895

0

1

0.125

false

0

0.125

0.375

0

null

1

0

1

0

null

0

2

c1b7fc1ccd9560f64c999ad55ca20770aa634007

235

py

Python

miyu_bot/bot/aliases/event.py

sigonasr2/miyu-bot

4f28a62b6f3657e19b8b569a60745261b0ddc2f6

[ "MIT" ]

11

2021-01-29T07:16:11.000Z

2022-02-25T01:40:22.000Z

miyu_bot/bot/aliases/event.py

sigonasr2/miyu-bot

4f28a62b6f3657e19b8b569a60745261b0ddc2f6

[ "MIT" ]

null

miyu_bot/bot/aliases/event.py

sigonasr2/miyu-bot

4f28a62b6f3657e19b8b569a60745261b0ddc2f6

[ "MIT" ]

3

2021-02-13T02:06:39.000Z

2021-05-08T18:43:12.000Z

event_aliases = { 'halloween 2020': 1, 'candy': 2, 'swimsuits 2020': 3, 'maids': 5, 'christmas 2020': 6, 'countdown': 7, 'monster hunter pt1': 9, 'mh1': 9, 'monster hunter pt2': 10, 'mh2': 10, }

18.076923

29

0.514894

29

235

4.137931

0.793103

0.216667

0

0.170732

0.302128

235

12

30

19.583333

0.560976

0

0.438298

0

1

0

false

0

1

0

null

1

0

null

0

2

c1c1e3a0ef467be115f98449ca0bb2a415a28910

56

py

Python

opensfm/commands/__init__.py

YangJae96/KMU_Visual-SLAM

8fbbcdda58a5b349a344b580d22d13ab69ff53cc

[ "BSD-2-Clause" ]

null

opensfm/commands/__init__.py

YangJae96/KMU_Visual-SLAM

8fbbcdda58a5b349a344b580d22d13ab69ff53cc

[ "BSD-2-Clause" ]

2

2021-06-08T21:03:06.000Z

2022-01-13T02:22:43.000Z

opensfm/commands/__init__.py

YangJae96/KMU_Visual-SLAM

8fbbcdda58a5b349a344b580d22d13ab69ff53cc

[ "BSD-2-Clause" ]

null

from . import slam opensfm_commands = [ slam, ]

7

21

0.607143

6

56

5.5

0.833333

0

0.303571

56

7

22

8

0.846154

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

c1d55cf741c8d506522eb5f4eb906401cf32924f

181

py

Python

Emmanuel ANENE/Phase 1/Python Basic 1/Day10/task4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Emmanuel ANENE/Phase 1/Python Basic 1/Day10/task4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Emmanuel ANENE/Phase 1/Python Basic 1/Day10/task4.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

''' Write a Python program to count the number occurrence of a specific character in a string. ''' data = input("Enter a long sentence: ") datas = data[4] print(data.count(datas))

22.625

90

0.718232

29

181

4.482759

0.758621

0

0.006623

0.165746

181

8

91

22.625

0.854305

0.497238

0

0.27381

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

c1df36b140d279c8ae3be1af1c3040b04eff6d14

907

py

Python

numba/__init__.py

aseyboldt/numba

0c0a8aa7a7cad8b5f0a5383101f5cca5a4a89df3

[ "BSD-2-Clause" ]

null

numba/__init__.py

aseyboldt/numba

0c0a8aa7a7cad8b5f0a5383101f5cca5a4a89df3

[ "BSD-2-Clause" ]

null

numba/__init__.py

aseyboldt/numba

0c0a8aa7a7cad8b5f0a5383101f5cca5a4a89df3

[ "BSD-2-Clause" ]

null

import sys import logging # NOTE: Be sure to keep the logging level commented out before commiting. See: # https://github.com/numba/numba/issues/31 # A good work around is to make your tests handle a debug flag, per # numba.tests.test_support.main(). logging.basicConfig(level=logging.DEBUG, format="\n\033[1m%(levelname)s -- %(module)s:%(lineno)d:%(funcName)s\033[0m\n%(message)s") try: from . import minivect except ImportError: print(logging.error("Did you forget to update submodule minivect?")) print(logging.error("Run 'git submodule init' followed by 'git submodule update'")) raise from . import _numba_types from ._numba_types import * from . import decorators from .decorators import * def test(): from subprocess import check_call check_call([sys.executable, '-m', 'numba.tests.test_all']) __all__ = _numba_types.__all__ + decorators.__all__

30.233333

110

0.719956

130

907

4.853846

0.584615

0.047544

0.044374

0

0.013193

0.164278

907

29

111

31.275862

0.819261

0.241455

0

0.055556

0.300146

0.111274

0

1

0.055556

false

0

0.5

0

0.555556

0.111111

0

null

0

null

0

1

0

1

0

2

de0427e9b7e8f6ff0fbe72ec9f9484d330a4901e

690

py

Python

Server/Flask/FlaskBoilerplate/application/controllers.py

dltech-xyz/PythonSkillTree

88fad516b22811205a49b6438d48a6535e8a5441

[ "Apache-2.0" ]

26

2016-07-11T00:54:39.000Z

2022-01-11T13:41:47.000Z

Server/Flask/FlaskBoilerplate/application/controllers.py

w4n9H/PythonSkillTree

88fad516b22811205a49b6438d48a6535e8a5441

[ "Apache-2.0" ]

null

Server/Flask/FlaskBoilerplate/application/controllers.py

w4n9H/PythonSkillTree

88fad516b22811205a49b6438d48a6535e8a5441

[ "Apache-2.0" ]

7

2016-07-14T08:02:37.000Z

2020-06-28T15:27:21.000Z

# !/usr/bin/env python # -*- coding: utf-8 -*- """ @author: mango @contact: w4n9@sina.com @create: 16/7/1 hail hydra! """ __author__ = "mango" __version__ = "0.1" import os from flask import Flask, request, Response from flask import render_template, url_for, redirect, send_from_directory from flask import send_file, make_response, abort from application import app # routing for API endpoints, generated from the models designated as API_MODELS # from application.core import api_manager # from application.models import * # routing for basic pages (pass routing onto the Angular app) @app.route('/', methods=['GET']) def show_entries(): return render_template('index.html')

22.258065

79

0.744928

99

690

5.010101

0.636364

0.054435

0.090726

0

0.015254

0.144928

690

31

80

22.258065

0.825424

0.466667

0

0.061798

0

1

0.1

false

0

0.5

0.1

0.7

0

null

0

null

0

1

0

1

0

2

de05a37043b1a2680445c54636fdbb7f9c92b7a6

586

py

Python

medical/wsgi.py

SarangWadode/medstore

07cb70661a8cba6f8dd090dfbd589bfacb7bf12a

[ "MIT" ]

2

2021-03-24T13:36:39.000Z

2022-02-10T13:51:59.000Z

medical/wsgi.py

SarangWadode/medstore

07cb70661a8cba6f8dd090dfbd589bfacb7bf12a

[ "MIT" ]

44

2021-01-05T01:51:38.000Z

2022-02-10T13:44:26.000Z

medical/wsgi.py

mukeshgurpude/medstore

498b76acbeb9727e7a61560e4016b3577c2706d2

[ "MIT" ]

1

2020-10-28T09:26:01.000Z

""" WSGI config for medical project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application from django.contrib.staticfiles.handlers import StaticFilesHandler os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'medical.settings') # StaticFileHandler is required or else, it will fail to load css, javascript files when debug set to false application = StaticFilesHandler(get_wsgi_application())

30.842105

107

0.803754

82

586

5.670732

0.731707

0.043011

0.077419

0

0.003846

0.112628

586

18

108

32.555556

0.890385

0.546075

0

0.147287

0.085271

0

1

0

false

0

0.6

0

0.6

0

null

0

null

0

1

0

1

0

2

de0b8f6a6fb4e9fda9432bb2708ecaea5b6d7ee2

105

py

Python

48.py

nursyah21/project-euler

af819a561c1ca90794d5851121366855f3914c49

[ "MIT" ]

null

48.py

nursyah21/project-euler

af819a561c1ca90794d5851121366855f3914c49

[ "MIT" ]

null

48.py

nursyah21/project-euler

af819a561c1ca90794d5851121366855f3914c49

[ "MIT" ]

null

res=0 for i in range(1,1001): res += i**i res=str(res) #res='nursyahjaya' print(res[len(res)-10:])

11.666667

24

0.609524

21

105

3.047619

0.619048

0

0.090909

0.161905

105

8

25

13.125

0.636364

0.161905

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

de0e9857b71b7d273245183aeae665f9ace25fc0

1,896

py

Python

autonetkit/compilers/device/quagga.py

sysbot/autonetkit

eb91ee4cb15cc40b81d8d1a23059c1cddde5540f

[ "BSD-3-Clause" ]

1

2015-11-08T07:26:26.000Z

autonetkit/compilers/device/quagga.py

sysbot/autonetkit

eb91ee4cb15cc40b81d8d1a23059c1cddde5540f

[ "BSD-3-Clause" ]

null

autonetkit/compilers/device/quagga.py

sysbot/autonetkit

eb91ee4cb15cc40b81d8d1a23059c1cddde5540f

[ "BSD-3-Clause" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- from autonetkit.compilers.device.router_base import RouterCompiler from autonetkit.nidb import config_stanza class QuaggaCompiler(RouterCompiler): """Base Quagga compiler""" lo_interface = 'lo:1' def compile(self, node): super(QuaggaCompiler, self).compile(node) def interfaces(self, node): """Quagga interface compiler""" #TODO: put this on the router base? ipv4_node = self.anm['ipv4'].node(node) phy_node = self.anm['phy'].node(node) super(QuaggaCompiler, self).interfaces(node) # OSPF cost if phy_node.is_l3device(): node.loopback_zero.id = self.lo_interface node.loopback_zero.description = 'Loopback' node.loopback_zero.ipv4_address = ipv4_node.loopback node.loopback_zero.ipv4_subnet = node.loopback_subnet def ospf(self, node): """Quagga ospf compiler""" super(QuaggaCompiler, self).ospf(node) # add eBGP link subnets node.ospf.passive_interfaces = [] for interface in node.physical_interfaces: if interface.exclude_igp: continue # don't configure IGP for this interface bgp_int = self.anm['ebgp_v4'].interface(interface) if bgp_int.is_bound: # ebgp interface node.ospf.passive_interfaces.append(config_stanza(id=interface.id)) subnet = bgp_int['ipv4'].subnet default_ebgp_area = 0 node.ospf.ospf_links.append( config_stanza(network=subnet, area=default_ebgp_area)) def isis(self, node): """Sets ISIS links """ g_isis = self.anm['isis'] isis_node = g_isis.node(node) node.isis.net = isis_node.net node.isis.process_id = isis_node.process_id

29.625

83

0.614451

224

1,896

5.026786

0.348214

0.063943

0.056838

0.047957

0.049734

0

0.008094

0.283228

1,896

63

84

30.095238

0.820456

0.132384

0

0.021014

0

0.015873

0

1

0.117647

false

0.058824

0

0.235294

0

null

0

null

0

1

0

1

0

2

de13590944b5a28f7d6570a9b64ac087c03f8fa1

1,107

py

Python

morpheusapi/provision_types.py

tadamhicks/morpheus-python

5689342091e241099c92afbce07de80ed5f1d986

[ "MIT" ]

null

morpheusapi/provision_types.py

tadamhicks/morpheus-python

5689342091e241099c92afbce07de80ed5f1d986

[ "MIT" ]

null

morpheusapi/provision_types.py

tadamhicks/morpheus-python

5689342091e241099c92afbce07de80ed5f1d986

[ "MIT" ]

1

2022-01-21T19:05:19.000Z

from morpheusapi.morpheus import Morpheus import json from urlparse import urljoin import posixpath import requests import six class Provision_Type(Morpheus): def __init__( self, baseurl, username, password ): """ Provision_Type object is a Morpheus object. Inherits OAuth mechanism. Wrapper for provision-types endpoint. All methods are specific provision-types API in morpheus. """ Morpheus.__init__(self, baseurl, username, password) self.headers = {"Authorization": "BEARER " + self.access_token} self.endpoint = posixpath.join('api', 'provision-types') def get_all(self, id=None): if id: if not isinstance(id, six.string_types): id = str(id) provision_types_url = urljoin( self.baseurl, posixpath.join(self.endpoint, id) ) else: provision_types_url = urljoin( self.baseurl, self.endpoint ) response = requests.get(provision_types_url, headers=self.headers) return response.json()

24.6

71

0.631436

121

1,107

5.619835

0.438017

0.123529

0.075

0.067647

0.194118

0.102941

0

0.28636

1,107

44

72

25.159091

0.860759

0

0.137931

0

0.041712

0

null

0.068966

0.206897

null

0

null

0

null

0

1

0

1

0

2

de15320099d543ba1af968112e31b6d05f5c424c

1,562

py

Python

codes/utils/timer.py

CJWBW/HCFlow

ec6fd388783930a20a2f3d6c4b7396ff728fa6ad

[ "Apache-2.0" ]

123

2021-08-03T10:02:40.000Z

2022-03-22T04:32:49.000Z

codes/utils/timer.py

CJWBW/HCFlow

ec6fd388783930a20a2f3d6c4b7396ff728fa6ad

[ "Apache-2.0" ]

12

2021-08-19T05:37:30.000Z

2022-02-18T07:51:45.000Z

codes/utils/timer.py

CJWBW/HCFlow

ec6fd388783930a20a2f3d6c4b7396ff728fa6ad

[ "Apache-2.0" ]

19

2021-08-19T10:14:45.000Z

2022-03-08T04:49:49.000Z

import time class ScopeTimer: def __init__(self, name): self.name = name def __enter__(self): self.start = time.time() return self def __exit__(self, *args): self.end = time.time() self.interval = self.end - self.start print("{} {:.3E}".format(self.name, self.interval)) class Timer: def __init__(self): self.times = [] def tick(self): self.times.append(time.time()) def get_average_and_reset(self): if len(self.times) < 2: return -1 avg = (self.times[-1] - self.times[0]) / (len(self.times) - 1) self.times = [self.times[-1]] return avg def get_last_iteration(self): if len(self.times) < 2: return 0 return self.times[-1] - self.times[-2] class TickTock: def __init__(self): self.time_pairs = [] self.current_time = None def tick(self): self.current_time = time.time() def tock(self): assert self.current_time is not None, self.current_time self.time_pairs.append([self.current_time, time.time()]) self.current_time = None def get_average_and_reset(self): if len(self.time_pairs) == 0: return -1 deltas = [t2 - t1 for t1, t2 in self.time_pairs] avg = sum(deltas) / len(deltas) self.time_pairs = [] return avg def get_last_iteration(self): if len(self.time_pairs) == 0: return -1 return self.time_pairs[-1][1] - self.time_pairs[-1][0]

24.793651

70

0.569782

210

1,562

4.028571

0.228571

0.117021

0.122931

0.061466

0.416076

0.245863

0.217494

0.096927

0

0.021062

0.300896

1,562

62

71

25.193548

0.753663

0

0.446809

0

0.005762

0

0.021277

1

0.255319

false

0

0.021277

0

0.531915

0.021277

0

null

0

null

0

1

0

1

0

2

a9a9425c31bfcbd696f44d3c6c3b8f888d6bbd33

1,804

py

Python

test/test_predict_heplx.py

HephyAnalysisSW/DeepJet

c06a618f776a92e84f56a0b0a313c962777d5387

[ "Apache-2.0" ]

null

test/test_predict_heplx.py

HephyAnalysisSW/DeepJet

c06a618f776a92e84f56a0b0a313c962777d5387

[ "Apache-2.0" ]

null

test/test_predict_heplx.py

HephyAnalysisSW/DeepJet

c06a618f776a92e84f56a0b0a313c962777d5387

[ "Apache-2.0" ]

2

2018-11-11T18:02:58.000Z

2021-02-02T08:19:30.000Z

import keras.backend as K #from tensorflow.python import debug as tf_debug #sess = K.get_session() #sess = tf_debug.LocalCLIDebugWrapperSession(sess) #K.set_session(sess) #sess.add_tensor_filter("has_inf_or_nan", tf_debug.has_inf_or_nan) #files = [ #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181013/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181014/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181015/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181016/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181017/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #'/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181021/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5', #] from keras.models import load_model #mymodel = load_model("/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/20181013/DYVsQCD_ptRelSorted_MuonTraining/KERAS_model.h5") # new training #mymodel = load_model("/afs/hephy.at/data/gmoertl01/DeepLepton/trainings/muons/TestTraining/KERAS_model.h5") #for f in files: # m = load_model(f) # print f # print m.get_weights() from keras.models import model_from_json import pickle import numpy as np mymodel = model_from_json( pickle.load(file('model.pkl'))) weights = pickle.load(file('weights.pkl')) #_weights = [np.nan_to_num(weights[0])] + weights[1:] _weights = map( np.nan_to_num, weights) mymodel.set_weights(_weights) # from multi_l_features import features ##from new_training_features import features print "Make prediction" prediction = mymodel.predict( features ) print prediction

44

137

0.810421

255

1,804

5.513725

0.278431

0.045519

0.056899

0.079659

0.534851

0.510669

0.480797

0

0.048607

0.064856

1,804

40

138

45.1

0.784825

0.733925

0

0.076754

0

null

0

0.461538

null

0.153846

0

null

0

null

0

1

0

1

0

2

a9c5d8476e4b02df7f0e13a5ce03b6f45cdaf2a9

849

py

Python

grano/model/common.py

ANCIR/grano

cee2ec1974df5df2bc6ed5e214f6bd5d201397a4

[ "MIT" ]

30

2018-08-23T15:42:17.000Z

2021-11-16T13:11:36.000Z

grano/model/common.py

ANCIR/grano

cee2ec1974df5df2bc6ed5e214f6bd5d201397a4

[ "MIT" ]

null

grano/model/common.py

ANCIR/grano

cee2ec1974df5df2bc6ed5e214f6bd5d201397a4

[ "MIT" ]

5

2019-05-30T11:36:53.000Z

2021-08-11T16:17:14.000Z

from datetime import datetime from grano.core import db from grano.model.util import make_token class _CoreBase(object): created_at = db.Column(db.DateTime, default=datetime.utcnow) updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow) @classmethod def by_id(cls, id): q = db.session.query(cls).filter_by(id=id) return q.first() @classmethod def all(cls): return db.session.query(cls) class IntBase(_CoreBase): id = db.Column(db.Integer, primary_key=True) def __repr__(self): return '<%s(%s)>' % (self.__class__.__name__, self.id) class UUIDBase(_CoreBase): id = db.Column(db.Unicode, default=make_token, primary_key=True) def __repr__(self): return '<%s(%s)>' % (self.__class__.__name__, self.id)

24.970588

68

0.658422

114

849

4.596491

0.377193

0.061069

0.076336

0.045802

0.431298

0.354962

0.198473

0

0.21437

849

33

69

25.727273

0.785607

0

0.272727

0

0.018846

0

1

0.181818

false

0

0.136364

0.818182

0

null

0

null

0

1

0

2

a9d6f351882f754828c1e5d9c656765304c9ac75

2,168

py

Python

image_processor.py

mjpaul1/dd2419_detector_baseline

2490926b45c1bb944173c404a82a499e8bd23c3f

[ "MIT" ]

null

image_processor.py

mjpaul1/dd2419_detector_baseline

2490926b45c1bb944173c404a82a499e8bd23c3f

[ "MIT" ]

null

image_processor.py

mjpaul1/dd2419_detector_baseline

2490926b45c1bb944173c404a82a499e8bd23c3f

[ "MIT" ]

null

#!/usr/bin/env python import utils from torchvision import models import os from PIL import Image import matplotlib.pyplot as plt import torch from detector import Detector import torchvision.transforms.functional as TF class ImageProcessor(): def __init__(self, model_path, ann_path): self.device = torch.device('cpu') # Init model self.detector = Detector().to(self.device) # load a trained model self.detector = utils.load_model(self.detector, model_path, self.device) # load category dictionary from annotation file self.category_dict = utils.get_category_dict(ann_path) def detect_and_classify(self, image, threshold): """ Gets an image as PIL image and performs detection and classification Returns: List[List[Dict]] List containing a list of detected bounding boxes in each image. Each dictionary contains the following keys: - "x": Top-left corner column - "y": Top-left corner row - "width": Width of bounding box in pixel - "height": Height of bounding box in pixel - "category": Category (not implemented yet!) """ # torch_image = TF.to_tensor(image) # torch_image = torch.stack(torch_image) # torch_image = torch_image.to(self.device) # for some reason it needs to be torch.stacked # and therefore it needs to be a list even though it is only one image torch_image = [] torch_image.append(TF.to_tensor(image)) if torch_image: torch_image = torch.stack(torch_image) torch_image = torch_image.to(self.device) with torch.no_grad(): out = self.detector(torch_image).cpu() bbs = self.detector.decode_output(out, threshold) return bbs def overlay_image(self, pil_image, bbs): """ Gets a PIL image and the bounding boxes Returns a PIL image with bounding box and category overlay """ return utils.add_bounding_boxes_pil(pil_image, bbs, self.category_dict)

31.42029

80

0.63607

277

2,168

4.841155

0.375451

0.096943

0.089485

0.152125

0.099925

0

0.288745

2,168

68

81

31.882353

0.86965

0.403137

0

0.002573

0

1

0.115385

false

0

0.307692

0

0.538462

0

null

0

null

0

1

0

1

0

2

a9d77beb032a578ed9a789e0e697fc853929b529

151

py

Python

forumsweats/commands/forum.py

duckiecousingaming/forum-sweats

6addf3159e59902a6905c25240bf54f8a7a00e76

[ "MIT" ]

10

2020-10-15T18:08:53.000Z

2021-12-11T13:15:05.000Z

forumsweats/commands/forum.py

duckiecousingaming/forum-sweats

6addf3159e59902a6905c25240bf54f8a7a00e76

[ "MIT" ]

59

2020-10-06T23:19:25.000Z

2022-03-06T14:16:31.000Z

forumsweats/commands/forum.py

duckiecousingaming/forum-sweats

6addf3159e59902a6905c25240bf54f8a7a00e76

[ "MIT" ]

13

2020-10-19T20:46:47.000Z

2022-03-05T20:17:40.000Z

name = 'forum' aliases = ('forums', 'f') pad_none = False async def run(message): await message.send('Forum commands: **!forums user (username)**')

18.875

66

0.668874

20

151

5

0.85

0

0.145695

151

7

67

21.571429

0.775194

0

0.364238

0

1

0

false

0

1

0

null

0

1

0

null

0

2

a9d7d3f3ff3f224b99d1e3fcd86e45d271f2a501

4,757

py

Python

tensorflow_riemopt/manifolds/product.py

vishalbelsare/tensorflow-riemopt

4814b0c4a8bc74bf98f34ba99440f24ea21ab93b

[ "MIT" ]

33

2021-07-12T14:03:55.000Z

2022-03-30T11:44:11.000Z

tensorflow_riemopt/manifolds/product.py

vishalbelsare/tensorflow-riemopt

4814b0c4a8bc74bf98f34ba99440f24ea21ab93b

[ "MIT" ]

2

2021-04-15T21:56:04.000Z

2021-05-08T17:36:22.000Z

tensorflow_riemopt/manifolds/product.py

vishalbelsare/tensorflow-riemopt

4814b0c4a8bc74bf98f34ba99440f24ea21ab93b

[ "MIT" ]

5

2020-11-06T05:22:07.000Z

2021-06-15T03:21:58.000Z

"""Cartesian product of manifolds.""" import tensorflow as tf from functools import reduce from operator import mul from tensorflow_riemopt.manifolds.manifold import Manifold class Product(Manifold): """Product space of manifolds.""" name = "Product" ndims = 1 def __init__(self, *manifolds): """Initialize a product of manifolds. Args: *manifolds: an iterable of (`manifold`, `shape`) tuples, where `manifold` is an instance of `Manifold` and `shape` is a tuple of `manifold` dimensions Example: >>> from tensorflow_riemopt import manifolds >>> S = manifolds.Sphere() >>> torus = manifolds.Product((S, (2,)), (S, (2,))) >>> St = manifolds.EuclideanStiefel() >>> St_2 = manifolds.Product((St, (5, 3)), (St, (5, 3))) """ self._indices = [0] self._manifolds = [] self._shapes = [] for i, (m, shape) in enumerate(manifolds): if not isinstance(m, Manifold): raise ValueError( "{} should be an instance of Manifold".format(m) ) if not m.check_shape(shape): raise ValueError( "Invalid shape {} for manifold {}".format(shape, m) ) self._indices.append(self._indices[i] + reduce(mul, shape)) self._manifolds.append(m) self._shapes.append(list(shape)) super().__init__() def __repr__(self): names = [ "{}{}".format(m.name, tuple(shape)) for m, shape in zip(self._manifolds, self._shapes) ] return " × ".join(names) def _check_shape(self, shape): return self._indices[-1] == shape[-1] def _check_point_on_manifold(self, x, atol, rtol): checks = [ m.check_point_on_manifold(self._get_slice(x, i), atol, rtol) for (i, m) in enumerate(self._manifolds) ] return reduce(tf.logical_and, checks) def _check_vector_on_tangent(self, x, u, atol, rtol): checks = [ m.check_vector_on_tangent( self._get_slice(x, i), self._get_slice(u, i), atol, rtol ) for (i, m) in enumerate(self._manifolds) ] return reduce(tf.logical_and, checks) def _get_slice(self, x, idx): if not 0 <= idx < len(self._indices) - 1: raise ValueError("Invalid index {}".format(idx)) slice = x[..., self._indices[idx] : self._indices[idx + 1]] shape = tf.concat([tf.shape(x)[:-1], self._shapes[idx]], axis=-1) return tf.reshape(slice, shape) def _product_fn(self, fn, *args, **kwargs): results = [] for (i, m) in enumerate(self._manifolds): arg_slices = [self._get_slice(arg, i) for arg in args] result = getattr(m, fn)(*arg_slices, **kwargs) shape = tf.concat([tf.shape(result)[:-1], [-1]], axis=-1) results.append(tf.reshape(result, shape)) return tf.concat(results, axis=-1) def random(self, shape, dtype=tf.float32): if not self.check_shape(shape): raise ValueError("Invalid shape {}".format(shape)) shape = list(shape) results = [] for (i, m) in enumerate(self._manifolds): result = m.random(shape[:-1] + self._shapes[i], dtype=dtype) results.append(tf.reshape(result, shape[:-1] + [-1])) return tf.concat(results, axis=-1) def dist(self, x, y, keepdims=False): dists = self._product_fn("dist", x, y, keepdims=True) shape = tf.concat([tf.shape(x)[:-1], [-1]], axis=-1) sq_dists = tf.reduce_sum(dists * dists, axis=-1, keepdims=keepdims) return tf.math.sqrt(sq_dists) def inner(self, x, u, v, keepdims=False): inners = self._product_fn("inner", x, u, v, keepdims=True) return tf.reduce_sum(inners, axis=-1, keepdims=keepdims) def proju(self, x, u): return self._product_fn("proju", x, u) def projx(self, x): return self._product_fn("projx", x) def exp(self, x, u): return self._product_fn("exp", x, u) def retr(self, x, u): return self._product_fn("retr", x, u) def log(self, x, y): return self._product_fn("log", x, y) def ptransp(self, x, y, v): return self._product_fn("ptransp", x, y, v) def transp(self, x, y, v): return self._product_fn("transp", x, y, v) def pairmean(self, x, y): return self._product_fn("pairmean", x, y) def geodesic(self, x, u, t): return self._product_fn("geodesic", x, u, t=t) def pairmean(self, x, y): return self._product_fn("pairmean", x, y)

33.737589

77

0.565062

618

4,757

4.195793

0.199029

0.028924

0.060162

0.073274

0.337447

0.273814

0.248361

0.138064

0.090243

0

0.009169

0.289258

4,757

140

78

33.978571

0.757468

0.103847

0

0.185567

0

0.04329

0

1

0.206186

false

0

0.041237

0.113402

0.474227

0

null

0

null

0

1

0

1

0

2

a9e9c40d1b0d85c781ba0fefce7890d12b0af317

447

py

Python

graphql_utilities/__init__.py

melvinkcx/graphql-utils

43ced16ff1ed6b5e8de3978429b14c85dc87044f

[ "MIT" ]

17

2020-01-31T13:34:07.000Z

2022-03-19T21:06:03.000Z

graphql_utilities/__init__.py

melvinkcx/graphql-utils

43ced16ff1ed6b5e8de3978429b14c85dc87044f

[ "MIT" ]

6

2020-02-19T00:11:33.000Z

2020-05-24T01:53:08.000Z

graphql_utilities/__init__.py

melvinkcx/graphql-utils

43ced16ff1ed6b5e8de3978429b14c85dc87044f

[ "MIT" ]

1

2020-03-08T05:53:57.000Z

from .decorators import run_only_once from .directives import GraphQLCostDirective, schema_with_cost_directive, cost_directive_source_doc from .execution import ExtendedExecutionContext from .utilities import build_schema_with_cost __version__ = "0.4.0" __all__ = [ "run_only_once", "ExtendedExecutionContext", "GraphQLCostDirective", "schema_with_cost_directive", "cost_directive_source_doc", "build_schema_with_cost" ]

27.9375

99

0.803132

51

447

6.45098

0.431373

0.121581

0.170213

0.206687

0.395137

0

0.007692

0.127517

447

15

100

29.8

0.835897

0

0.302013

0.217002

0

1

0

false

0

0.307692

0

0.307692

0

null

0

1

0

null

0

1

0

2

a9f7986122eb73d770d32e233b56a855192bd0aa

2,824

py

Python

lineups.py

antonio36alv/espn-fantasy-discord-bot

240c1cdca8f91fd6b75ee91fe3b9c87007cf087b

[ "MIT" ]

null

lineups.py

antonio36alv/espn-fantasy-discord-bot

240c1cdca8f91fd6b75ee91fe3b9c87007cf087b

[ "MIT" ]

null

lineups.py

antonio36alv/espn-fantasy-discord-bot

240c1cdca8f91fd6b75ee91fe3b9c87007cf087b

[ "MIT" ]

null

import requests leagueID = 582628976 # leagueID = 835952 year = 2021 # url = f"https://fantasy.espn.com/apis/v3/games/fba/seasons/{str(year)}/segments/0/leagues/{str(leagueID)}" # url = f"https://fantasy.espn.com/basketball/team?leagueId={str(year)}&teamId=3" # url = "https://fantasy.espn.com/apis/v3/games/fba/seasons/2021/segments/0/leagues/582628976?rosterForTeamId=3&view=mDraftDetail,mLiveScoring,mMatchupScore,mPendingTransactions,mPositionalRatings,mRoster,mSettings,mTeam,modular,mNav" # url = f"https://fantasy.espn.com/basketball/team?leagueId={str(leagueID)}&teamId=3&scoringPeriodId=37&statSplit=singleScoringPeriod" url = f"https://fantasy.espn.com/apis/v3/games/fba/seasons/2021/segments/0/leagues/{str(leagueID)}?forTeamId=3&scoringPeriodId=37&view=mRoster" # url = f"https://fantasy.espn.com/apis/v3/games/fba/seasons/2020/segments/0/leagues/{leagueID}?rosterForTeamId={1}&view=mDraftDetail&view=mLiveScoring&view=mMatchupScore&view=mPendingTransactions&view=mPositionalRatings&view=mRoster&view=mSettings&view=mTeam&view=modular&view=mNav" # + \ # "?seasonId=" + str(year) # find player endpoint # "https://site.api.espn.com/apis/fantasy/v2/games/fba/news/players?days=30&playerId=4277847" r = requests.get(url, cookies = { "swid":"{23A4936D-D6C7-4DE4-81D9-9188358D2F69}", "espn_s2":"AECb%2F6kEWSUPzUA1BEQB9DyFnpFwAucrxLZpHQvim4x%2BaUpNiZ2Azgd9EmZFk09B%2BlKACKtqYAl6FWk%2BGicGf4LMMYnHR0Nl9gU1L4jO2iNxIOZSL0%2B4Blgd%2BKqzOkzbsUn1YkzEhflxt%2FD1RNGYHutwoUPocda2XCJCkIYoyS9ZjDMOVg9E10c%2FTUqc7Z76NQPzVMlmvmDc0UCT7FS7tkcLgglu2oSudTM60AREtsKVvVFgRAvprTUl02PRjV1rWgfFDbwdifDGbHOyQ1a%2FMW9S"}) # d = r.json() # print(url) # print(r.json) print(r.json()) # jawn = requests.get("https://fantasy.espn.com/apis/v3/games/fba/seasons/2021/players?scoringPeriodId=0&view=players_wl") # print("jawn") # print(jawn.json()) """ espnAuth:"{"swid":"{23A4936D-D6C7-4DE4-81D9-9188358D2F69}"}" espn_s2:"AECb%2F6kEWSUPzUA1BEQB9DyFnpFwAucrxLZpHQvim4x%2BaUpNiZ2Az gd9EmZFk09B%2BlKACKtqYAl6FWk%2BGicGf4LMMYnHR0Nl9gU1L4jO2iN xIOZSL0%2B4Blgd%2BKqzOkzbsUn1YkzEhflxt%2FD1RNGYHutwoUPocda 2XCJCkIYoyS9ZjDMOVg9E10c%2FTUqc7Z76NQPzVMlmvmDc0UCT7FS7tkc Lgglu2oSudTM60AREtsKVvVFgRAvprTUl02PRjV1rWgfFDbwdifDGbHOyQ 1a%2FMW9S" """ # https://fantasy.espn.com/apis/v3/games/fba/seasons/2021/segments/0/leagues/582628976?rosterForTeamId=1&view=mDraftDetail&view=mLiveScoring&view=mMatchupScore&view=mPendingTransactions&view=mPositionalRatings&view=mRoster&view=mSettings&view=mTeam&view=modular&view=mNav # look into it for pending claims # this jawn: # https://fantasy.espn.com/apis/v3/games/fba/seasons/2021/segments/0/leagues/582628976?forTeamId=1&scoringPeriodId=37&view=mRoster # Print schedule every morning at 8am # When scheudle is printed - get the time for the first game of the day #

57.632653

312

0.797805

333

2,824

6.756757

0.345345

0.031111

0.064

0.076

0.466667

0.449778

0

0.094375

0.061969

2,824

49

313

57.632653

0.755002

0.615793

0

0.142857

0.752739

0.525822

0

1

0

false

0

0.142857

0

0.142857

0

null

0

1

null

0

2

a9fb5e4b6423f7eab85218d17f425d52a2601ef6

2,777

py

Python

webbreaker/webinspectjson.py

one3chens/webbreaker

2e3e661122bc82f0bc8c9bb105affe700d859035

[ "MIT" ]

null

webbreaker/webinspectjson.py

one3chens/webbreaker

2e3e661122bc82f0bc8c9bb105affe700d859035

[ "MIT" ]

null

webbreaker/webinspectjson.py

one3chens/webbreaker

2e3e661122bc82f0bc8c9bb105affe700d859035

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import os from webbreaker.webbreakerlogger import Logger json_scan_settings = { "settingsName": "", "overrides": { "scanName": "" } } def formatted_settings_payload(settings, scan_name, runenv, scan_mode, scan_scope, login_macro, scan_policy, scan_start, start_urls, workflow_macros, allowed_hosts): global json_scan_settings json_scan_settings['settingsName'] = settings # scanName option if runenv == "jenkins": json_scan_settings['overrides']['scanName'] = os.getenv('BUILD_TAG') else: json_scan_settings['overrides']['scanName'] = scan_name # crawlAuditMode option if scan_mode: json_scan_settings['overrides']['crawlAuditMode'] = "" if scan_mode == "scan": json_scan_settings['overrides']['crawlAuditMode'] = 'AuditOnly' elif scan_mode == "crawl": json_scan_settings['overrides']['crawlAuditMode'] = 'CrawlOnly' else: json_scan_settings['overrides']['crawlAuditMode'] = 'CrawlAndAudit' if scan_scope: json_scan_settings['overrides']['scanScope'] = "" if scan_scope == "all": json_scan_settings['overrides']['scanScope'] = 'Unrestricted' elif scan_scope == "strict": json_scan_settings['overrides']['scanScope'] = 'Self' elif scan_scope == "children": json_scan_settings['overrides']['scanScope'] = 'Children' elif scan_scope == "ancestors": json_scan_settings['overrides']['scanScope'] = 'Ancestors' else: #json_scan_settings['overrides']['scanScope'] = 'None' Logger.app.error("Usage: all, strict, children, or ancestors are options! \n" "The value {} for scan_scope is not available!".format(scan_scope)) if login_macro: json_scan_settings['overrides']['loginMacro'] = login_macro if scan_policy: json_scan_settings['overrides']['policyId'] = scan_policy if scan_start: json_scan_settings['overrides']['startOption'] = "" if scan_start == "url": json_scan_settings['overrides']['startOption'] = "Url" elif scan_start == "macro": json_scan_settings['overrides']['startOption'] = "Macro" else: Logger.app.error("usage: url or macro are options NOT scan_start: {}!".format(scan_start)) if start_urls: json_scan_settings['overrides']['startUrls'] = start_urls if workflow_macros: json_scan_settings['overrides']['workflowMacros'] = workflow_macros if allowed_hosts: json_scan_settings['overrides']['allowedHosts'] = allowed_hosts return json_scan_settings

36.064935

108

0.632697

288

2,777

5.802083

0.274306

0.114901

0.229803

0.299222

0.347696

0

0.000473

0.238747

2,777

76

109

36.539474

0.789972

0.047893

0

0.071429

0

0.265252

0

1

0.017857

false

0

0.035714

0

0.071429

0

null

0

1

0

null

0

2

e713f4fdfd2b30f627820dffa612380a7a204407

727

py

Python

api/source/base/action.py

1pkg/ReRe

83f77d2cece0fb5f6d7b86a395fcca7d4e16459f

[ "MIT" ]

1

2019-12-17T10:31:48.000Z

api/source/base/action.py

c-pkg/ReRe

83f77d2cece0fb5f6d7b86a395fcca7d4e16459f

[ "MIT" ]

null

api/source/base/action.py

c-pkg/ReRe

83f77d2cece0fb5f6d7b86a395fcca7d4e16459f

[ "MIT" ]

1

2019-04-29T08:19:36.000Z

from .constant import Constant class Action: WILDCARD_ENDPOINT = False CACHE_EXPIRE = None CONNECTION_LIMIT = Constant.RAREFIED_CONNECTION_LIMIT def __init__(self, application): self._application = application def __call__(self, request): self._validate(request) data = self._process(request) return self._format(data) def _validate(self, request): pass def _process(self, request): return NotImplemented def _format(self, response=None): return response def _get(self, request, key, default=None): if (request.json is not None and key in request.json): return str(request.json[key]) return default

24.233333

62

0.661623

83

727

5.542169

0.457831

0.095652

0

0.261348

727

29

63

25.068966

0.856611

0

1

0.285714

false

0.047619

0.095238

0.761905

0

null

0

null

0

1

0

1

0

2

e718f2240ea9c0341709f42699de2038b453c7e3

175

py

Python

quilt_test.py

abhiit89/python_basic_notebooks

942c60584571394c9317fc7e59cb046d68856c1a

[ "Apache-2.0" ]

null

quilt_test.py

abhiit89/python_basic_notebooks

942c60584571394c9317fc7e59cb046d68856c1a

[ "Apache-2.0" ]

null

quilt_test.py

abhiit89/python_basic_notebooks

942c60584571394c9317fc7e59cb046d68856c1a

[ "Apache-2.0" ]

null

import quilt3 p = quilt3.Package.browse('aleksey/hurdat', 's3://quilt-example') print(p["requirements.txt"]) print(p["notebooks"]) p["notebooks"]["QuickStart.ipynb"].fetch()

25

65

0.714286

23

175

5.434783

0.73913

0.096

0

0.018182

0.057143

175

6

66

29.166667

0.739394

0

0.468571

0

1

0

false

0

0.2

0

0.2

0.4

1

0

null

0

1

0

null

0

2

e71cb0a9c431e56a173812415c1ae734a3e8208d

267

py

Python

python/labs/rock-paper-scissors/random-numbers.py

TheOtakuNinja/cssi-labs

2875a1c7cc86a182e367733c1bf9bb79b8e92a94

[ "Apache-2.0" ]

null

python/labs/rock-paper-scissors/random-numbers.py

TheOtakuNinja/cssi-labs

2875a1c7cc86a182e367733c1bf9bb79b8e92a94

[ "Apache-2.0" ]

null

python/labs/rock-paper-scissors/random-numbers.py

TheOtakuNinja/cssi-labs

2875a1c7cc86a182e367733c1bf9bb79b8e92a94

[ "Apache-2.0" ]

null

import random print("dice roller") dice1 = random.randint(1,6) dice2 = random.randint(1,6) sum = dice1 + dice2 if dice1 == dice2: print("move %d spaces" %(sum)) print("roll again") else: print("move %d spaces" %(sum)) print("Next player's turn")

15.705882

34

0.629213

40

267

4.2

0.55

0.154762

0.166667

0.178571

0.285714

0

0.046948

0.202247

267

16

35

16.6875

0.741784

0

0.181818

0

0.25188

0

1

0

false

0

0.090909

0

0.090909

0.454545

0

null

0

1

0

null

0

1

0

2

e72195df063d6b3b46724be70fb075d6d9441a60

391

py

Python

tests/b004.py

cclauss/sentry-flake8

862cde9c07ce08a1aca212e59a7d31f286e300a0

[ "MIT" ]

null

tests/b004.py

cclauss/sentry-flake8

862cde9c07ce08a1aca212e59a7d31f286e300a0

[ "MIT" ]

null

tests/b004.py

cclauss/sentry-flake8

862cde9c07ce08a1aca212e59a7d31f286e300a0

[ "MIT" ]

null

from __future__ import absolute_import import sys def this_is_a_bug(): o = object() if hasattr(o, "__call__"): sys.stdout.write("Ooh, callable! Or is it?\n") if getattr(o, "__call__", False): sys.stdout.write("Ooh, callable! Or is it?\n") def this_is_fine(): o = object() if callable(o): sys.stdout.write("Ooh, this is actually callable.\n")

21.722222

61

0.626598

59

391

3.847458

0.440678

0.079295

0.185022

0.22467

0.281938

0

0.227621

391

17

62

23

0.751656

0

0.333333

0

0.258312

0

1

0.166667

false

0

0.166667

0

0.333333

0

null

0

1

0

null

0

2

e7455f261e6e8e09edd7b6d17d5a77e334a9c3f2

1,119

py

Python

WeatherDash/Forecast_IO_py/forecastiopy/FIOCurrently.py

Rcarballo2222/ENGI-301

341f7e76ec842e1e1f449b2206633150abab1b31

[ "MIT" ]

null

WeatherDash/Forecast_IO_py/forecastiopy/FIOCurrently.py

Rcarballo2222/ENGI-301

341f7e76ec842e1e1f449b2206633150abab1b31

[ "MIT" ]

null

WeatherDash/Forecast_IO_py/forecastiopy/FIOCurrently.py

Rcarballo2222/ENGI-301

341f7e76ec842e1e1f449b2206633150abab1b31

[ "MIT" ]

1

2019-04-17T19:27:56.000Z

# -*- coding: utf-8 -*- """ This module recieves an ForecastIO object and holds the currently weather conditions. It has one class for this purpose. """ class FIOCurrently(object): """ This class recieves an ForecastIO object and holds the currently weather conditions. """ currently = None def __init__(self, forecast_io): """ Construct a new 'FIOCurrently' object. Recieves an ForecastIO object and gets the currently weather conditions if they are available in the object. Args: forecast_io (ForecastIO): The ForecastIO object """ if forecast_io.has_currently(): self.currently = forecast_io.get_currently() for item in self.currently.keys(): setattr(self, item, self.currently[item]) def get(self): """ Returns a dictionary with current weather conditions. Returns None is none are available. Returns: Dictionary with current weather conditions. None is none are available. """ return self.currently

27.975

79

0.627346

126

1,119

5.492063

0.380952

0.122832

0.086705

0.112717

0.397399

0.182081

0

0.001276

0.299374

1,119

39

80

28.692308

0.881378

0.549598

0

1

0.222222

false

0

0.555556

0

null

0

null

0

1

0

1

0

2

e7477ac12e45d099175195c3b8feda9faac83d8d

375

py

Python

10 Days of Statistics/Day 5 - Normal Distribution II/main.py

BrunoASNascimento/hacker-rank-resolve

9983c91d8783f06c358af0f3eb4a1d2b7015e61b

[ "MIT" ]

null

10 Days of Statistics/Day 5 - Normal Distribution II/main.py

BrunoASNascimento/hacker-rank-resolve

9983c91d8783f06c358af0f3eb4a1d2b7015e61b

[ "MIT" ]

null

10 Days of Statistics/Day 5 - Normal Distribution II/main.py

BrunoASNascimento/hacker-rank-resolve

9983c91d8783f06c358af0f3eb4a1d2b7015e61b

[ "MIT" ]

null

import math mean, sd = map(float, input().split()) x, y = float(input()), float(input()) def normal_distribution(x, mean, sd): return round(0.5 * 100 * (1 + math.erf((x - mean) / (sd * math.sqrt(2)))), 3) print(round(100 - normal_distribution(x, mean, sd), 2)) print(round(100 - normal_distribution(y, mean, sd), 2)) print(round(normal_distribution(60, 70, 10), 2))

26.785714

81

0.645333

61

375

3.901639

0.442623

0.12605

0.088235

0.193277

0.470588

0

0.0721

0.149333

375

13

82

28.846154

0.673981

0

1

0.125

false

0

0.125

0.375

0

null

0

1

0

null

0

1

0

2

e7488eba9dd8833e6a19a090aafbe8c41810a1d3

286

py

Python

main.py

fayak/UraRand

a65b0cc8eef1144182c682888441bef11bf41a4e

[ "MIT" ]

1

2020-03-30T01:16:55.000Z

main.py

fayak/UraRand

a65b0cc8eef1144182c682888441bef11bf41a4e

[ "MIT" ]

null

main.py

fayak/UraRand

a65b0cc8eef1144182c682888441bef11bf41a4e

[ "MIT" ]

null

#!/usr/bin/env python3 import urarand.config import urarand.collect def main(): config = urarand.config.get_config() #urarand.collect.collect(lambda x : print('*', end='', flush=True)) urarand.collect.collect(config["ent_gen"].tick) if __name__ == "__main__": main()

22

71

0.685315

37

286

5.027027

0.594595

0.225806

0

0.004098

0.146853

286

12

72

23.833333

0.758197

0.304196

0

0.076142

0

1

0.142857

false

0

0.285714

0

0.428571

0

null

1

0

null

0

2

e75e255119b8e0ae5c568c40398592d2ca23ba0d

9,255

py

Python

pysnmp/AILUXCONNECT-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/AILUXCONNECT-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/AILUXCONNECT-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module AILUXCONNECT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/AILUXCONNECT-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:00:39 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # AIIConnType, = mibBuilder.importSymbols("AISYSTEM-MIB", "AIIConnType") ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint") InterfaceIndex, = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Counter32, Bits, Gauge32, enterprises, ObjectIdentity, NotificationType, Counter64, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, TimeTicks, Unsigned32, IpAddress, iso, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "Bits", "Gauge32", "enterprises", "ObjectIdentity", "NotificationType", "Counter64", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "TimeTicks", "Unsigned32", "IpAddress", "iso", "MibIdentifier") DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue") aii = MibIdentifier((1, 3, 6, 1, 4, 1, 539)) aiLuxConnect = ModuleIdentity((1, 3, 6, 1, 4, 1, 539, 33)) aiLuxConnect.setRevisions(('2001-04-30 17:00',)) if mibBuilder.loadTexts: aiLuxConnect.setLastUpdated('200104301700Z') if mibBuilder.loadTexts: aiLuxConnect.setOrganization('Applied Innovation Inc.') aiLCTrapInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 539, 33, 0)) aiLCTrapGtranSwitch = NotificationType((1, 3, 6, 1, 4, 1, 539, 33, 0, 1)).setObjects(("AILUXCONNECT-MIB", "aiLCGtranActiveIndex"), ("AILUXCONNECT-MIB", "aiLCGtranActiveSpan")) if mibBuilder.loadTexts: aiLCTrapGtranSwitch.setStatus('current') aiLCTrapGbicInserted = NotificationType((1, 3, 6, 1, 4, 1, 539, 33, 0, 2)).setObjects(("AILUXCONNECT-MIB", "aiLCGbicIndex"), ("AILUXCONNECT-MIB", "aiLCGbicConnectorType")) if mibBuilder.loadTexts: aiLCTrapGbicInserted.setStatus('current') aiLCTrapGbicRemoved = NotificationType((1, 3, 6, 1, 4, 1, 539, 33, 0, 3)).setObjects(("AILUXCONNECT-MIB", "aiLCGbicIndex"), ("AILUXCONNECT-MIB", "aiLCGbicConnectorType")) if mibBuilder.loadTexts: aiLCTrapGbicRemoved.setStatus('current') aiLCGtranActiveTable = MibTable((1, 3, 6, 1, 4, 1, 539, 33, 1), ) if mibBuilder.loadTexts: aiLCGtranActiveTable.setStatus('current') aiLCGtranActiveEntry = MibTableRow((1, 3, 6, 1, 4, 1, 539, 33, 1, 1), ).setIndexNames((0, "AILUXCONNECT-MIB", "aiLCGtranActiveIndex")) if mibBuilder.loadTexts: aiLCGtranActiveEntry.setStatus('current') aiLCGtranActiveIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 1), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveIndex.setStatus('current') aiLCGtranActiveBackupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 2), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveBackupIndex.setStatus('current') aiLCGtranActiveSpan = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("work", 1), ("protect", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: aiLCGtranActiveSpan.setStatus('current') aiLCGtranActiveRxUtilization = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveRxUtilization.setStatus('current') aiLCGtranActiveTxUtilization = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveTxUtilization.setStatus('current') aiLCGtranActiveClockSlave = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 6), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: aiLCGtranActiveClockSlave.setStatus('current') aiLCGtranActiveCoolerStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("up", 1), ("down", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: aiLCGtranActiveCoolerStatus.setStatus('current') aiLCGtranActiveTemperature = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("okay", 1), ("trouble", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveTemperature.setStatus('current') aiLCGtranActiveRxPower = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("okay", 1), ("under", 2), ("over", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveRxPower.setStatus('current') aiLCGtranActiveTxPower = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("okay", 1), ("under", 2), ("over", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranActiveTxPower.setStatus('current') aiLCGtranBackupTable = MibTable((1, 3, 6, 1, 4, 1, 539, 33, 2), ) if mibBuilder.loadTexts: aiLCGtranBackupTable.setStatus('current') aiLCGtranBackupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 539, 33, 2, 1), ).setIndexNames((0, "AILUXCONNECT-MIB", "aiLCGtranBackupIndex")) if mibBuilder.loadTexts: aiLCGtranBackupEntry.setStatus('current') aiLCGtranBackupIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 2, 1, 1), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranBackupIndex.setStatus('current') aiLCGtranBackupActiveIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 2, 1, 2), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGtranBackupActiveIndex.setStatus('current') aiLcGbicTable = MibTable((1, 3, 6, 1, 4, 1, 539, 33, 3), ) if mibBuilder.loadTexts: aiLcGbicTable.setStatus('current') aiLCGbicEntry = MibTableRow((1, 3, 6, 1, 4, 1, 539, 33, 3, 1), ).setIndexNames((0, "AILUXCONNECT-MIB", "aiLCGbicIndex")) if mibBuilder.loadTexts: aiLCGbicEntry.setStatus('current') aiLCGbicIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 3, 1, 1), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGbicIndex.setStatus('current') aiLCGbicConnectorType = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 3, 1, 2), AIIConnType()).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGbicConnectorType.setStatus('current') aiLCGbicTxMode = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("down", 1), ("up", 2), ("gtran", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: aiLCGbicTxMode.setStatus('current') aiLCGbicRxUtilization = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 3, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGbicRxUtilization.setStatus('current') aiLCGbicTxUtilization = MibTableColumn((1, 3, 6, 1, 4, 1, 539, 33, 3, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: aiLCGbicTxUtilization.setStatus('current') mibBuilder.exportSymbols("AILUXCONNECT-MIB", aiLCGtranActiveBackupIndex=aiLCGtranActiveBackupIndex, aiLCGbicConnectorType=aiLCGbicConnectorType, aiLCGtranActiveEntry=aiLCGtranActiveEntry, aiLCGtranActiveClockSlave=aiLCGtranActiveClockSlave, aiLCTrapGbicInserted=aiLCTrapGbicInserted, aiLCGbicEntry=aiLCGbicEntry, aiLCGtranBackupIndex=aiLCGtranBackupIndex, aiLCGtranActiveTxPower=aiLCGtranActiveTxPower, aiLCTrapGbicRemoved=aiLCTrapGbicRemoved, aiLCGtranBackupEntry=aiLCGtranBackupEntry, aiLCTrapGtranSwitch=aiLCTrapGtranSwitch, aiLuxConnect=aiLuxConnect, aii=aii, aiLCGtranActiveRxUtilization=aiLCGtranActiveRxUtilization, aiLCGtranBackupTable=aiLCGtranBackupTable, aiLCGtranActiveIndex=aiLCGtranActiveIndex, aiLCTrapInfo=aiLCTrapInfo, aiLCGtranActiveTable=aiLCGtranActiveTable, aiLCGtranActiveTxUtilization=aiLCGtranActiveTxUtilization, aiLCGtranBackupActiveIndex=aiLCGtranBackupActiveIndex, PYSNMP_MODULE_ID=aiLuxConnect, aiLCGbicTxUtilization=aiLCGbicTxUtilization, aiLCGtranActiveRxPower=aiLCGtranActiveRxPower, aiLcGbicTable=aiLcGbicTable, aiLCGbicIndex=aiLCGbicIndex, aiLCGtranActiveSpan=aiLCGtranActiveSpan, aiLCGtranActiveTemperature=aiLCGtranActiveTemperature, aiLCGbicRxUtilization=aiLCGbicRxUtilization, aiLCGbicTxMode=aiLCGbicTxMode, aiLCGtranActiveCoolerStatus=aiLCGtranActiveCoolerStatus)

123.4

1,302

0.779579

955

9,255

7.55288

0.168586

0.008596

0.012062

0.016082

0.436989

0.37377

0.361847

0.31665

0.301816

0

0.063775

0.073258

9,255

74

1,303

125.067568

0.777195

0.035224

0

0.141592

0.009641

0

1

0

false

0

0.119403

0

0.119403

0

null

0

1

0

null

0

2

e760bb7d475f2d8c34b4b6cd607e7c52d81a498c

593

py

Python

src/TB3Util/prmimporter.py

csvance/tb3util

63191c4e9fddec809d3943f9ee402eae0e2d4659

[ "MIT" ]

null

src/TB3Util/prmimporter.py

csvance/tb3util

63191c4e9fddec809d3943f9ee402eae0e2d4659

[ "MIT" ]

null

src/TB3Util/prmimporter.py

csvance/tb3util

63191c4e9fddec809d3943f9ee402eae0e2d4659

[ "MIT" ]

null

import os from tb3bank import TB3Bank from prmparser import PRMParser from prmfile import PRMFile from tb3importer import TB3Importer class PRMImporter(TB3Importer): def import_bank(self): if(not os.path.exists(self.path)): print "Invalid import path: %s" % self.path return None patterns = [] for pattern_no in range(1,TB3Bank.BANK_SIZE+1): pattern_path = "%s/%s%s.%s" % (self.path,PRMFile.PREFIX,pattern_no,PRMFile.EXTENSION) pattern_data = open(pattern_path,"r").read() patterns.append(PRMParser(pattern_data).parse()) return TB3Bank(patterns)

24.708333

88

0.725126

82

593

5.146341

0.45122

0.056872

0.042654

0

0.018145

0.163575

593

24

89

24.708333

0.832661

0

0.057239

0

null

0

0.5

null

0.0625

0

null

0

null

0

1

0

1

0

2

e761b4c32cb6cb477aeefdfd40d18a11c4e9442d

680

py

Python

Unit4/HomeWorks/p3.py

yuhao1998/PythonStudy

fa678f0352673a6934b8f5b1689777af531f3675

[ "Apache-2.0" ]

null

Unit4/HomeWorks/p3.py

yuhao1998/PythonStudy

fa678f0352673a6934b8f5b1689777af531f3675

[ "Apache-2.0" ]

null

Unit4/HomeWorks/p3.py

yuhao1998/PythonStudy

fa678f0352673a6934b8f5b1689777af531f3675

[ "Apache-2.0" ]

null

''' 用户登录的三次机会 ‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬ 描述给用户三次输入用户名和密码的机会，要求如下：‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬ 1）如输入第一行输入用户名为‘Kate’,第二行输入密码为‘666666’，输出‘登录成功！’，退出程序；‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬ 2）当一共有3次输入用户名或密码不正确输出“3次用户名或者密码均有误！退出程序。”。 ''' count = 0 while count < 3: name = input() password = input() if name == 'Kate'and password == '666666': print("登录成功！") break else: count += 1 if count == 3: print("3次用户名或者密码均有误！退出程序。")

28.333333

149

0.333824

46

680

8.065217

0.608696

0.086253

0

0.036458

0.152941

680

24

150

28.333333

0.357639

0.625

0

0.133603

0

1

0

false

0.181818

0

0.181818

0

null

0

1

0

null

0

1

0

2

e764a81bd360d87c8473f7556e4098d4d92d4e3e

311

py

Python

neko2020/utils/files.py

tajas20006/neko2020

18345db9daf64b2237a1869af9086f9b462a2f44

[ "MIT" ]

4

2020-04-24T04:03:56.000Z

2022-02-04T09:34:23.000Z

neko2020/utils/files.py

tajas20006/neko2020

18345db9daf64b2237a1869af9086f9b462a2f44

[ "MIT" ]

76

2020-09-25T07:08:20.000Z

2022-03-18T12:16:28.000Z

neko2020/utils/files.py

tajas20006/neko2020

18345db9daf64b2237a1869af9086f9b462a2f44

[ "MIT" ]

null

import os import random def get_project_root(): return os.path.dirname(os.path.dirname(os.path.dirname(__file__))) def select_random_directory(basedir): files = os.listdir(basedir) directories = [f for f in files if os.path.isdir(os.path.join(basedir, f))] return random.choice(directories)

23.923077

79

0.736334

47

311

4.702128

0.510638

0.135747

0.176471

0.135747

0.176471

0

0.144695

311

12

80

25.916667

0.830827

0

1

0.25

false

0

0.25

0.125

0.75

0

null

0

null

0

1

0

1

0

2

e7766e556388cce56c334145cf76e60ba80b7bfc

434

py

Python

tutorial/extending_wrist_dof/wrist_pitch.py

soumith/stretch_body

998cec78fae67090060d4474c3029f9db45cde85

[ "RSA-MD" ]

19

2020-07-14T07:00:45.000Z

2022-01-26T18:28:59.000Z

tutorial/extending_wrist_dof/wrist_pitch.py

soumith/stretch_body

998cec78fae67090060d4474c3029f9db45cde85

[ "RSA-MD" ]

45

2020-05-20T03:05:56.000Z

2022-01-06T22:35:39.000Z

tutorial/extending_wrist_dof/wrist_pitch.py

soumith/stretch_body

998cec78fae67090060d4474c3029f9db45cde85

[ "RSA-MD" ]

13

2020-07-14T23:13:42.000Z

2022-03-05T02:00:57.000Z

from stretch_body.dynamixel_hello_XL430 import DynamixelHelloXL430 from stretch_body.hello_utils import * class WristPitch(DynamixelHelloXL430): def __init__(self, chain=None): DynamixelHelloXL430.__init__(self, 'wrist_pitch', chain) self.poses = {'tool_up': deg_to_rad(45), 'tool_down': deg_to_rad(-45)} def pose(self,p,v_r=None,a_r=None): self.move_to(self.poses[p],v_r,a_r)

33.384615

66

0.695853

62

434

4.467742

0.516129

0.079422

0.108303

0.072202

0

0.045455

0.18894

434

12

67

36.166667

0.741477

0

0.062356

0

1

0.222222

false

0

0.222222

0

0.555556

0

null

0

null

0

1

0

1

0

2

e778af7bb427f9d452fec7cec45d6cc3e9aa46fa

10,151

py

Python

tests/test_spatial_mesh.py

tnakaicode/ChargedPaticle-LowEnergy

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

6

2019-04-14T06:19:40.000Z

2021-09-14T13:46:26.000Z

tests/test_spatial_mesh.py

RickeyEstes/ef_python

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

31

2018-03-02T12:05:20.000Z

2019-02-20T09:29:08.000Z

tests/test_spatial_mesh.py

RickeyEstes/ef_python

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

10

2017-12-21T15:16:55.000Z

2020-10-31T23:59:50.000Z

import logging import h5py import numpy as np import pytest from numpy.testing import assert_array_equal from ef.particle_array import ParticleArray from ef.spatial_mesh import SpatialMesh, MeshGrid from ef.config.components import SpatialMeshConf, BoundaryConditionsConf, ParticleSourceConf class TestDefaultSpatialMesh: def test_config(self, capsys): mesh = SpatialMeshConf((4, 2, 3), (2, 1, 3)).make(BoundaryConditionsConf(3.14)) assert mesh.mesh.node_coordinates.shape == (3, 3, 2, 3) assert mesh.charge_density.shape == (3, 3, 2) assert mesh.potential.shape == (3, 3, 2) assert mesh.electric_field.shape == (3, 3, 2, 3) coords = np.array([[[[0., 0., 0.], [0., 0., 3.]], [[0., 1., 0.], [0., 1., 3.]], [[0., 2., 0.], [0., 2., 3.]]], [[[2., 0., 0.], [2., 0., 3.]], [[2., 1., 0.], [2., 1., 3.]], [[2., 2., 0.], [2., 2., 3.]]], [[[4., 0., 0.], [4., 0., 3.]], [[4., 1., 0.], [4., 1., 3.]], [[4., 2., 0.], [4., 2., 3.]]]]) assert_array_equal(mesh.mesh.node_coordinates, coords) assert_array_equal(mesh.charge_density, np.zeros((3, 3, 2))) potential = np.full((3, 3, 2), 3.14) assert_array_equal(mesh.potential, potential) assert_array_equal(mesh.electric_field, np.zeros((3, 3, 2, 3))) out, err = capsys.readouterr() assert out == "" assert err == "" def test_do_init_warnings(self, capsys, caplog): mesh = SpatialMesh.do_init((12, 12, 12), (5, 5, 7), BoundaryConditionsConf(0)) out, err = capsys.readouterr() assert out == "" assert err == "" assert caplog.record_tuples == [ ('root', logging.WARNING, "X step on spatial grid was reduced to 4.000 from 5.000 to fit in a round number of cells."), ('root', logging.WARNING, "Y step on spatial grid was reduced to 4.000 from 5.000 to fit in a round number of cells."), ('root', logging.WARNING, "Z step on spatial grid was reduced to 6.000 from 7.000 to fit in a round number of cells."), ] def test_do_init(self): mesh = SpatialMesh.do_init((4, 2, 3), (2, 1, 3), BoundaryConditionsConf(3.14)) assert mesh.mesh.node_coordinates.shape == (3, 3, 2, 3) assert mesh.charge_density.shape == (3, 3, 2) assert mesh.potential.shape == (3, 3, 2) assert mesh.electric_field.shape == (3, 3, 2, 3) coords = np.array([[[[0., 0., 0.], [0., 0., 3.]], [[0., 1., 0.], [0., 1., 3.]], [[0., 2., 0.], [0., 2., 3.]]], [[[2., 0., 0.], [2., 0., 3.]], [[2., 1., 0.], [2., 1., 3.]], [[2., 2., 0.], [2., 2., 3.]]], [[[4., 0., 0.], [4., 0., 3.]], [[4., 1., 0.], [4., 1., 3.]], [[4., 2., 0.], [4., 2., 3.]]]]) assert_array_equal(mesh.mesh.node_coordinates, coords) assert_array_equal(mesh.charge_density, np.zeros((3, 3, 2))) potential = np.full((3, 3, 2), 3.14) assert_array_equal(mesh.potential, potential) assert_array_equal(mesh.electric_field, np.zeros((3, 3, 2, 3))) def test_do_init_potential(self): mesh = SpatialMesh.do_init((12, 12, 12), (4, 4, 6), BoundaryConditionsConf(1, 2, 3, 4, 5, 6)) potential = np.array([[[5., 1., 6.], [5., 1., 6.], [5., 1., 6.], [5., 1., 6.]], [[5., 3., 6.], [5., 0., 6.], [5., 0., 6.], [5., 4., 6.]], [[5., 3., 6.], [5., 0., 6.], [5., 0., 6.], [5., 4., 6.]], [[5., 2., 6.], [5., 2., 6.], [5., 2., 6.], [5., 2., 6.]]]) assert_array_equal(mesh.potential, potential) def test_is_potential_equal_on_boundaries(self): for x, y, z in np.ndindex(4, 4, 3): mesh = SpatialMesh.do_init((12, 12, 12), (4, 4, 6), BoundaryConditionsConf(3.14)) assert mesh.is_potential_equal_on_boundaries() mesh.potential[x, y, z] = 2. if np.all([x > 0, y > 0, z > 0]) and np.all([x < 3, y < 3, z < 2]): assert mesh.is_potential_equal_on_boundaries() else: assert not mesh.is_potential_equal_on_boundaries() def test_do_init_ranges(self): with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init((10, 20), (2, 1, 3), BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('grid_size must be a flat triple', (10, 20)) with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init(((1, 2), 3), (1, 1, 1), BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('grid_size must be a flat triple', ((1, 2), 3)) with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init((10, 10, 10), [[2, 1, 3], [4, 5, 6], [7, 8, 9]], BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('step_size must be a flat triple', [[2, 1, 3], [4, 5, 6], [7, 8, 9]],) with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init((10, 10, -30), (2, 1, 3), BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('grid_size must be positive', (10, 10, -30)) with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init((10, 10, 10), (2, -2, 3), BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('step_size must be positive', (2, -2, 3)) with pytest.raises(ValueError) as excinfo: SpatialMesh.do_init((10, 10, 10), (17, 2, 3), BoundaryConditionsConf(3.14)) assert excinfo.value.args == ('step_size cannot be bigger than grid_size',) def test_init_h5(self, tmpdir): fname = tmpdir.join('test_spatialmesh_init.h5') mesh1 = SpatialMesh.do_init((10, 20, 30), (2, 1, 3), BoundaryConditionsConf(3.14)) with h5py.File(fname, mode="w") as h5file: mesh1.save_h5(h5file.create_group("/mesh")) with h5py.File(fname, mode="r") as h5file: mesh2 = SpatialMesh.load_h5(h5file["/mesh"]) assert mesh1 == mesh2 mesh2 = SpatialMesh.do_init((10, 20, 30), (2, 1, 3), BoundaryConditionsConf(3.14)) assert mesh1 == mesh2 mesh2.potential = np.random.ranf(mesh1.potential.shape) assert mesh1 != mesh2 mesh2 = SpatialMesh.do_init((10, 20, 30), (2, 1, 3), BoundaryConditionsConf(3.14)) assert mesh1 == mesh2 mesh2.charge_density = np.random.ranf(mesh1.charge_density.shape) assert mesh1 != mesh2 mesh2 = SpatialMesh.do_init((10, 20, 30), (2, 1, 3), BoundaryConditionsConf(3.14)) assert mesh1 == mesh2 mesh2.electric_field = np.random.ranf(mesh1.electric_field.shape) assert mesh1 != mesh2 mesh2 = SpatialMesh.do_init((10, 20, 30), (2, 1, 3), BoundaryConditionsConf(3.14)) mesh2.potential = np.random.ranf(mesh1.potential.shape) mesh2.charge_density = np.random.ranf(mesh1.charge_density.shape) mesh2.electric_field = np.random.ranf(mesh1.electric_field.shape) assert mesh1 != mesh2 with h5py.File(fname, mode="w") as h5file: mesh2.save_h5(h5file.create_group("/SpatialMesh")) with h5py.File(fname, mode="r") as h5file: mesh1 = SpatialMesh.load_h5(h5file["/SpatialMesh"]) assert mesh1 == mesh2 def test_dict(self): mesh = SpatialMesh.do_init((4, 2, 3), (2, 1, 3), BoundaryConditionsConf()) d = mesh.dict assert d.keys() == {"mesh", "electric_field", "potential", "charge_density"} assert d["mesh"] == MeshGrid((4, 2, 3), (3, 3, 2)) assert_array_equal(d["electric_field"], np.zeros((3, 3, 2, 3))) assert_array_equal(d["potential"], np.zeros((3, 3, 2))) assert_array_equal(d["charge_density"], np.zeros((3, 3, 2))) def test_weight_particles_charge_to_mesh(self): mesh = SpatialMeshConf((2, 4, 8), (1, 2, 4)).make(BoundaryConditionsConf()) particle_arrays = [ParticleArray(1, -2, 4, [(1, 1, 3)], [(0, 0, 0)])] mesh.weight_particles_charge_to_mesh(particle_arrays) assert_array_equal(mesh.charge_density, np.array([[[0, 0, 0], [0, 0, 0], [0, 0, 0]], [[-0.25 / 8, -0.75 / 8, 0], [-0.25 / 8, -0.75 / 8, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0]]])) particle_arrays = [ParticleArray([1, 2], -2, 4, [(1, 1, 3), (1, 1, 3)], np.zeros((2, 3)))] mesh.clear_old_density_values() mesh.weight_particles_charge_to_mesh(particle_arrays) assert_array_equal(mesh.charge_density, np.array([[[0, 0, 0], [0, 0, 0], [0, 0, 0]], [[-0.25 / 4, -0.75 / 4, 0], [-0.25 / 4, -0.75 / 4, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0]]])) mesh.clear_old_density_values() particle_arrays = [ParticleArray(1, -2, 4, [(2, 4, 8)], [(0, 0, 0)])] mesh.weight_particles_charge_to_mesh(particle_arrays) assert_array_equal(mesh.charge_density, np.array([[[0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, -0.25]]])) particle_arrays = [ParticleArray(1, -2, 4, [(1, 2, 8.1)], [(0, 0, 0)])] with pytest.raises(ValueError, match="Position is out of meshgrid bounds"): mesh.weight_particles_charge_to_mesh(particle_arrays) def test_field_at_position(self): mesh = SpatialMeshConf((2, 4, 8), (1, 2, 4)).make(BoundaryConditionsConf()) mesh.electric_field[1:2, 0:2, 0:2] = np.array([[[2, 1, 0], [-3, 1, 0]], [[0, -1, 0], [-1, 0, 0]]]) assert_array_equal(mesh.field_at_position([(1, 1, 3)]), [(-1.25, 0.375, 0)])

54.87027

108

0.529012

1,409

10,151

3.69198

0.1022

0.03614

0.041522

0.047674

0.779508

0.737409

0.714917

0.665513

0.598039

0.573818

0

0.100401

0.287656

10,151

184

109

55.168478

0.619002

0

0.542683

0

0.018293

0.063344

0.002364

0

0.304878

1

0.060976

false

0

0.04878

0

0.115854

0

null

0

1

0

null

0

2

e78a9f0341435055deebdfeba5c1bf3f2f848f0f

753

gyp

Python

node_modules/bswap/binding.gyp

msaadsadiq/GoogleREST

4afa60109292c25a12e2866b3501c4cf77a2c85e

[ "MIT" ]

null

node_modules/bswap/binding.gyp

msaadsadiq/GoogleREST

4afa60109292c25a12e2866b3501c4cf77a2c85e

[ "MIT" ]

null

node_modules/bswap/binding.gyp

msaadsadiq/GoogleREST

4afa60109292c25a12e2866b3501c4cf77a2c85e

[ "MIT" ]

null

{ "conditions": [ ['OS=="win"', { "variables": { "has_avx2%": "<!(.\util\cpuinfo.exe 1 5 7)" } }] ], "targets": [ { "target_name": "bswap", "sources": [ "src/bswap.cc" ], "include_dirs" : [ "<!(node -e \"require('nan')\")" ], "cflags":[ "-march=native" ], "conditions": [ ['OS=="win" and has_avx2==1', { "msvs_settings": { "VCCLCompilerTool": { "EnableEnhancedInstructionSet": 5 # /arch:AVX2 } } }, { "msvs_settings": { "VCCLCompilerTool": { "EnableEnhancedInstructionSet": 3 # /arch:AVX } } }] ] } ] }

20.351351

60

0.386454

50

753

5.7

0.72

0.084211

0.105263

0.392982

0

0.020642

0.420983

753

36

61

20.916667

0.633028

0.02656

0

0.305556

0

0.415068

0.105479

0

null

0

null

0

null

0

1

0

null

0

1

0

2

e78e1b9eadb6745dde918cb9fc504c0f61ab1784

631

py

Python

apps/grid/forms.py

jamespacileo/packaginator

d4b51ae16e0658fade91e1a6c4ce987ee747b053

[ "MIT" ]

1

2015-11-05T05:09:38.000Z

apps/grid/forms.py

jamespacileo/packaginator

d4b51ae16e0658fade91e1a6c4ce987ee747b053

[ "MIT" ]

null

apps/grid/forms.py

jamespacileo/packaginator

d4b51ae16e0658fade91e1a6c4ce987ee747b053

[ "MIT" ]

null

from django.forms import ModelForm from grid.models import Element, Feature, Grid, GridPackage class GridForm(ModelForm): def clean_slug(self): return self.cleaned_data['slug'].lower() class Meta: model = Grid fields = ['title', 'slug', 'description'] class ElementForm(ModelForm): class Meta: model = Element fields = ['text',] class FeatureForm(ModelForm): class Meta: model = Feature fields = ['title', 'description',] class GridPackageForm(ModelForm): class Meta: model = GridPackage fields = ['package']

21.033333

60

0.608558

62

631

6.16129

0.483871

0.094241

0.146597

0.180628

0

0.285261

631

30

61

21.033333

0.847007

0

0.2

0

0.080696

0

1

0.05

false

0

0.1

0.05

0.6

0

null

0

1

0

null

0

1

0

2

e795d0cbe6f6231c526deb01c713eb32255572c9

433

gyp

Python

benchmarks/shbench/shbench.gyp

cksystemsgroup/scalloc-artifact

118de2d4947c8c6e6d15754bcd5054396533d31f

[ "BSD-2-Clause" ]

9

2015-10-27T15:09:47.000Z

2019-04-26T13:45:07.000Z

benchmarks/shbench/shbench.gyp

cksystemsgroup/scalloc-artifact

118de2d4947c8c6e6d15754bcd5054396533d31f

[ "BSD-2-Clause" ]

1

2016-06-18T10:54:23.000Z

2016-08-18T12:16:59.000Z

benchmarks/shbench/shbench.gyp

cksystemsgroup/scalloc-artifact

118de2d4947c8c6e6d15754bcd5054396533d31f

[ "BSD-2-Clause" ]

3

2016-09-25T04:37:09.000Z

2018-03-16T18:34:00.000Z

{ 'includes': [ '../common.gypi' ], 'targets': [ { 'target_name': 'shbench', 'product_name': 'shbench', 'type' : 'executable', 'conditions': [ ['OS=="linux"', { 'ldflags': [ '-pthread' ] }], ], 'defines': [ 'SYS_MULTI_THREAD' ], 'sources': [ 'src/sh6bench.c' ], 'include_dirs': [ 'src' ] } ] }

16.653846

35

0.378753

28

433

5.678571

0.892857

0.138365

0

0.003937

0.413395

433

25

36

17.32

0.622047

0

0.125

0

0.405093

0

1

0

true

0

1

0

null

0

null

0

1

0

2

e796f3dac103098c0c514e14973c1e02c9dc0a2f

392

py

Python

scripts/config.py

ci010/libnode

85da4acb5a0c7bb3c9bee809c226f3623e260365

[ "MIT" ]

39

2019-08-23T23:34:30.000Z

2022-03-30T09:10:12.000Z

scripts/config.py

ci010/libnode

85da4acb5a0c7bb3c9bee809c226f3623e260365

[ "MIT" ]

3

2020-10-16T01:05:51.000Z

2021-11-24T00:23:46.000Z

scripts/config.py

ci010/libnode

85da4acb5a0c7bb3c9bee809c226f3623e260365

[ "MIT" ]

11

2019-06-17T13:26:41.000Z

2022-02-18T15:49:59.000Z

assert __name__ != "__main__" import os nodeVersion = os.environ['LIBNODE_NODE_VERSION'] configFlags = (os.environ.get('LIBNODE_CONFIG_FLAGS') or '').split() x86 = os.environ.get('LIBNODE_X86') == '1' zipBasenameSuffix = os.environ.get('LIBNODE_ZIP_SUFFIX', '') if os.environ.get('LIBNODE_SMALL_ICU', '') == '1': configFlags += ['--with-intl=small-icu'] zipBasenameSuffix += '-smallicu'

30.153846

68

0.709184

49

392

5.326531

0.55102

0.172414

0.183908

0.291188

0

0.016997

0.09949

392

12

69

32.666667

0.72238

0

0.321429

0.053571

0

0.111111

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

null

0

2

e79addbb56f1cb91e20cdba8d1e7c43a55879770

2,039

py

Python

tests/test_aligned_sents_long_distance_cross.py

BramVanroy/astred

450e4d071319ea02768db9fd0b2c6e12b037676c

[ "Apache-2.0" ]

10

2020-03-25T10:23:49.000Z

2021-12-18T02:35:37.000Z

tests/test_aligned_sents_long_distance_cross.py

BramVanroy/astred

450e4d071319ea02768db9fd0b2c6e12b037676c

[ "Apache-2.0" ]

2

2021-10-07T09:56:55.000Z

2022-03-01T10:57:24.000Z

tests/test_aligned_sents_long_distance_cross.py

BramVanroy/astred

450e4d071319ea02768db9fd0b2c6e12b037676c

[ "Apache-2.0" ]

null

from pytest_cases import parametrize_with_cases from astred.pairs import IdxPair from .conftest import TestAlignedSents @parametrize_with_cases("aligned", cases=TestAlignedSents, glob="*long_distance_cross") def test_aligned_sents__aligned_cross(aligned): # NULL-to-NULL alignments included assert len(aligned.aligned_words) == 5 assert aligned.word_cross == 5 @parametrize_with_cases("aligned", cases=TestAlignedSents, glob="*long_distance_cross") def test_aligned_sents__words_cross(aligned): # NULL-to-NULL alignments included assert aligned.src[0].cross is None assert aligned.src[1].cross == 3 assert aligned.src[2].cross == 2 assert aligned.src[3].cross == 2 assert aligned.src[4].cross == 3 assert aligned.tgt[0].cross is None assert aligned.tgt[1].cross == 3 assert aligned.tgt[2].cross == 2 assert aligned.tgt[3].cross == 2 assert aligned.tgt[4].cross == 3 @parametrize_with_cases("aligned", cases=TestAlignedSents, glob="*long_distance_cross") def test_aligned_sents__words_avg_cross(aligned): # all these are the same as regular cross because there are no m-to-n alignments # avg_cross is a float, though # NULL-to-NULL alignments included assert aligned.src[0].avg_cross is None assert aligned.src[1].avg_cross == 3.0 assert aligned.src[2].avg_cross == 2.0 assert aligned.src[3].avg_cross == 2.0 assert aligned.src[4].avg_cross == 3.0 assert aligned.tgt[0].avg_cross is None assert aligned.tgt[1].avg_cross == 3.0 assert aligned.tgt[2].avg_cross == 2.0 assert aligned.tgt[3].avg_cross == 2.0 assert aligned.tgt[4].avg_cross == 3.0 @parametrize_with_cases("aligned", cases=TestAlignedSents, glob="*long_distance_cross") def test_aligned_sents__seq(aligned): # NULL-NULL is a separate group assert len(aligned.aligned_seq_spans) == 4 assert aligned.seq_aligns == [ IdxPair(0, 0), IdxPair(1, 3), IdxPair(2, 2), IdxPair(3, 1), ] assert aligned.seq_cross == 3

33.983333

87

0.712114

308

2,039

4.532468

0.188312

0.214183

0.114613

0.077364

0.702006

0.582378

0.581662

0.36533

0.323782

0.259312

0

0.033195

0.172634

2,039

59

88

34.559322

0.794309

0.115743

0

0.097561

0

0.060134

0

0.609756

1

0.097561

false

0

0.073171

0

0.170732

0

null

1

0

null

0

1

0

2

e79f307c1a256ddf14e1098f9e4e9028bac9bcda

895

py

Python

fixture/orm.py

rwajs75/python_mantis_szkolenie

94df5d45366786d84868979d193ac9e127d1ffb9

[ "Apache-2.0" ]

null

fixture/orm.py

rwajs75/python_mantis_szkolenie

94df5d45366786d84868979d193ac9e127d1ffb9

[ "Apache-2.0" ]

null

fixture/orm.py

rwajs75/python_mantis_szkolenie

94df5d45366786d84868979d193ac9e127d1ffb9

[ "Apache-2.0" ]

null

__autor__ = 'Roman' from pony.orm import * from datetime import datetime from model.project import Project from pymysql.converters import decoders class ORMFixture: db = Database() class ORMProject(db.Entity): _table_ = 'mantis_project_table' id = PrimaryKey(int, column='id') name = Optional(str, column='name') def __init__(self, host, name, user, password): self.db.bind('mysql', host=host, database=name, user=user, password=password, conv=decoders) self.db.generate_mapping() sql_debug(True) def convert_projects_to_model(self, projects): def convert(project): return Project(id=str(project.id), name=project.name) return list(map(convert, projects)) @db_session def get_projects_list(self): return self.convert_projects_to_model(select(p for p in ORMFixture.ORMProject))

27.121212

100

0.686034

114

895

5.184211

0.464912

0.076142

0.05753

0.07445

0

0.211173

895

32

101

27.96875

0.83711

0

0.040223

0

1

0.181818

false

0.090909

0.181818

0.090909

0.636364

0

null

0

null

0

1

0

1

0

2

e7a06818f86e8dac8d97fd50d21fa5ca0d11197b

7,755

py

Python

generate_examples.py

RashidSH/coinmath

c5fbcfa238482719ea6a59fe3b314c68bee1bcc2

[ "MIT" ]

null

generate_examples.py

RashidSH/coinmath

c5fbcfa238482719ea6a59fe3b314c68bee1bcc2

[ "MIT" ]

null

generate_examples.py

RashidSH/coinmath

c5fbcfa238482719ea6a59fe3b314c68bee1bcc2

[ "MIT" ]

null

# -*- coding: utf-8 -*- import math import random from io import BytesIO from PIL import Image, ImageDraw, ImageFont def generate_example(level): answer, s, draw_data = gen(level) image = Image.new('RGBA', (700, 540)) frame = Image.open('assets/frame.png') image.paste(frame) draw = ImageDraw.Draw(image) font = ImageFont.truetype('assets/Arcon-Regular.otf', 84) if level in (11, 12): center = image.height // 2 draw.line((170, center, 270, center), (0, 0, 0), 5) draw.line((430, center, 530, center), (0, 0, 0), 5) draw.text((330, center - 60), draw_data[0], (0, 0, 0), font=font) x1 = 200 if draw_data[1] < 10 else 185 x2 = 200 if draw_data[2] < 10 else 185 x3 = 460 if draw_data[3] < 10 else 445 x4 = 460 if draw_data[4] < 10 else 445 draw.text((x1, center - 110), str(draw_data[1]), (0, 0, 0), font=font) draw.text((x2, center + 10), str(draw_data[2]), (0, 0, 0), font=font) draw.text((x3, center - 110), str(draw_data[3]), (0, 0, 0), font=font) draw.text((x4, center + 10), str(draw_data[4]), (0, 0, 0), font=font) else: text = s.replace(' ', '') width, height = draw.multiline_textsize(text, font=font) if level == 8 or level == 9: offset = 170 else: offset = 210 draw.multiline_text((350 - width // 2, offset), text, (0, 0, 0), font=font, align='center') buf = BytesIO() image.save(buf, format='png') buf.seek(0) return answer, s, buf def gen(level): draw_data = None if level == 1: m1 = random.randint(1, 20) m2 = random.randint(1, 20) op = random.randint(1, 2) if op == 1: op_str = '+' else: op_str = '-' if m1 < m2: m1, m2 = m2, m1 s = f'{m1} {op_str} {m2}' elif level == 2: m1 = random.randint(2, 10) m2 = random.randint(2, 10) op = random.randint(1, 2) if op == 1: op_str = '*' else: op_str = '/' m1 *= m2 s = f'{m1} {op_str} {m2}' elif level == 3: m1 = random.randint(8, 30) m2 = random.randint(8, 30) op = random.randint(1, 4) if op == 1: op_str = '+' elif op == 2: op_str = '-' if m1 < m2: m1, m2 = m2, m1 elif op == 3: op_str = '*' else: op_str = '/' m1 *= m2 s = f'{m1} {op_str} {m2}' elif level == 4: ops = ('+', '-', '*') m1 = random.randint(5, 25) m2 = random.randint(5, 25) m3 = random.randint(5, 25) op1 = random.choice(ops) op2 = random.choice(ops) s = f'{m1} {op1} {m2} {op2} {m3}' elif level == 5: ops = ('+', '-', '*') m1 = random.randint(4, 20) m2 = random.randint(4, 20) m3 = random.randint(4, 20) m4 = random.randint(2, 5) p4 = random.randint(1, 3) op1 = random.choice(ops) op2 = random.choice(ops) s4 = '/' + str(m4) if p4 == 1: m1 *= m4 m1 = str(m1) + s4 elif p4 == 2: m2 *= m4 m2 = str(m2) + s4 else: m3 *= m4 m3 = str(m3) + s4 s = f'{m1} {op1} {m2} {op2} {m3}' elif level == 6: ops = ('+', '-') m1 = random.randint(4, 20) m2 = random.randint(4, 20) m3 = random.randint(2, 11) p = random.randint(1, 2) op1 = random.choice(ops) s1 = f'({m1} {op1} {m2})' if p == 1: s = f'{s1} * {m3}' else: s = f'{m3} * {s1}' elif level == 7: ops = ('+', '-') m1 = random.randint(4, 11) m2 = random.randint(4, 11) m3 = random.randint(2, 11) p1 = random.randint(1, 2) p2 = random.randint(1, 3) op1 = random.choice(ops) if p2 == 1: m1 = str(m1) + '**2' elif p2 == 2: m2 = str(m2) + '**2' else: m3 = str(m3) + '**2' s1 = f'({m1} {op1} {m2})' if p1 == 1: s = f'{s1} * {m3}' else: s = f'{m3} * {s1}' elif level == 8: ops = ('+', '-') m1 = random.randint(2, 10) m2 = random.randint(2, 10) x = random.randint(2, 10) p = random.randint(1, 2) op1 = random.choice(ops) if p == 1: s1 = f'{m1}x {op1} {m2}' else: s1 = f'{m1} {op1} {m2}x' s = f"{s1}={eval(s1.replace('x', '*' + str(x)))}\nx=?" answer = x elif level == 9: ops = ('+', '-', '*', '/') m1 = random.randint(3, 15) m2 = random.randint(3, 15) x = random.randint(3, 15) p = random.randint(1, 2) op1 = random.choice(ops) if op1 == '/': if p == 2: p = 1 m2 //= 2 x //= 2 x *= m2 if p == 1: s1 = f'{m1}x {op1} {m2}' else: s1 = f'{m1} {op1} {m2}x' s = f"{s1}={int(eval(s1.replace('x', '*' + str(x))))}\nx=?" answer = x elif level == 10: ops = ('+', '-', '*') m1 = random.randint(3, 10) m2 = random.randint(3, 10) m3 = random.randint(2, 10) m4 = random.randint(2, 3) p1 = random.randint(1, 2) p2 = random.randint(1, 3) op1 = random.choice(ops) if p2 == 1: m1 = f'{m1 // 2}**{m4}' elif p2 == 2: m1 = f'{m2 // 2}**{m4}' else: m1 = f'{m3 // 2}**{m4}' s1 = f'({m1} {op1} {m2})' if p1 == 1: s = f'{s1} * {m3}' else: s = f'{m3} * {s1}' elif level == 11: ops = ('+', '-') m1 = random.randint(1, 10) m2 = random.randint(1, 10) d1 = random.randint(2, 20) mult = random.randint(1, 3) p = random.randint(1, 2) op = random.choice(ops) if op == '+': res1, res2 = m1 + m2, d1 else: res1, res2 = m1 - m2, d1 k = math.gcd(res1, res2) if res2 // k == 1: answer = str(res1 // k) else: answer = f'{res1 // k}/{res2 // k}' m2 *= mult d2 = d1 * mult if p == 2 and op == '+': m1, m2, d1, d2 = m2, m1, d2, d1 s = f'{m1}/{d1} {op} {m2}/{d2}=?' draw_data = (op, m1, d1, m2, d2) elif level == 12: ops = ('*', '/') m1 = random.randint(1, 10) m2 = random.randint(1, 10) d1 = random.randint(2, 10) d2 = random.randint(2, 10) mult = random.randint(1, 3) p = random.randint(1, 4) op = random.choice(ops) if p == 1: m1 *= mult elif p == 2: m2 *= mult elif p == 3: d1 *= mult else: d2 *= mult if op == '*': res1 = m1 * m2 res2 = d1 * d2 else: res1 = m1 * d2 res2 = d1 * m2 k = math.gcd(res1, res2) if res2 // k == 1: answer = str(res1 // k) else: answer = f'{res1 // k}/{res2 // k}' if p == 2 and op == '*': m1, m2, d1, d2 = m2, m1, d2, d1 s = f'({m1}/{d1}) {op} ({m2}/{d2})=?' draw_data = (op, m1, d1, m2, d2) else: raise ValueError('Этот уровень не существует.') if level not in (8, 9, 11, 12): answer = int(eval(s)) s = s.replace('**2', '²').replace('**3', '³') + '=?' return answer, s, draw_data

24.386792

99

0.412379

1,041

7,755

3.045149

0.122959

0.209148

0.092744

0.051104

0.54858

0.470032

0.45142

0.433438

0.399685

0.342587

0

0.123168

0.410574

7,755

317

100

24.463722

0.570335

0.002708

0

0.502024

1

0.004049

0.086653

0.010347

0

1

0.008097

false

0

0.016194

0

0.032389

0

null

1

0

1

0

null

0

2

e7a18461f78d2c1a2e2ff37128e8d8783d4b002e

2,981

py

Python

pyteal/ast/if_test.py

thadguidry/pyteal

529ee6e96e1acb300bb30982c886bbbdb6430b19

[ "MIT" ]

null

pyteal/ast/if_test.py

thadguidry/pyteal

529ee6e96e1acb300bb30982c886bbbdb6430b19

[ "MIT" ]

null

pyteal/ast/if_test.py

thadguidry/pyteal

529ee6e96e1acb300bb30982c886bbbdb6430b19

[ "MIT" ]

1

2021-05-26T02:41:37.000Z

import pytest from .. import * # this is not necessary but mypy complains if it's not included from .. import CompileOptions options = CompileOptions() def test_if_int(): args = [Int(0), Int(1), Int(2)] expr = If(args[0], args[1], args[2]) assert expr.type_of() == TealType.uint64 expected, _ = args[0].__teal__(options) thenBlock, _ = args[1].__teal__(options) elseBlock, _ = args[2].__teal__(options) expectedBranch = TealConditionalBlock([]) expectedBranch.setTrueBlock(thenBlock) expectedBranch.setFalseBlock(elseBlock) expected.setNextBlock(expectedBranch) end = TealSimpleBlock([]) thenBlock.setNextBlock(end) elseBlock.setNextBlock(end) actual, _ = expr.__teal__(options) assert actual == expected def test_if_bytes(): args = [Int(1), Txn.sender(), Txn.receiver()] expr = If(args[0], args[1], args[2]) assert expr.type_of() == TealType.bytes expected, _ = args[0].__teal__(options) thenBlock, _ = args[1].__teal__(options) elseBlock, _ = args[2].__teal__(options) expectedBranch = TealConditionalBlock([]) expectedBranch.setTrueBlock(thenBlock) expectedBranch.setFalseBlock(elseBlock) expected.setNextBlock(expectedBranch) end = TealSimpleBlock([]) thenBlock.setNextBlock(end) elseBlock.setNextBlock(end) actual, _ = expr.__teal__(options) assert actual == expected def test_if_none(): args = [Int(0), Pop(Txn.sender()), Pop(Txn.receiver())] expr = If(args[0], args[1], args[2]) assert expr.type_of() == TealType.none expected, _ = args[0].__teal__(options) thenBlockStart, thenBlockEnd = args[1].__teal__(options) elseBlockStart, elseBlockEnd = args[2].__teal__(options) expectedBranch = TealConditionalBlock([]) expectedBranch.setTrueBlock(thenBlockStart) expectedBranch.setFalseBlock(elseBlockStart) expected.setNextBlock(expectedBranch) end = TealSimpleBlock([]) thenBlockEnd.setNextBlock(end) elseBlockEnd.setNextBlock(end) actual, _ = expr.__teal__(options) assert actual == expected def test_if_single(): args = [Int(1), Pop(Int(1))] expr = If(args[0], args[1]) assert expr.type_of() == TealType.none expected, _ = args[0].__teal__(options) thenBlockStart, thenBlockEnd = args[1].__teal__(options) end = TealSimpleBlock([]) expectedBranch = TealConditionalBlock([]) expectedBranch.setTrueBlock(thenBlockStart) expectedBranch.setFalseBlock(end) expected.setNextBlock(expectedBranch) thenBlockEnd.setNextBlock(end) actual, _ = expr.__teal__(options) assert actual == expected def test_if_invalid(): with pytest.raises(TealTypeError): If(Int(0), Txn.amount(), Txn.sender()) with pytest.raises(TealTypeError): If(Txn.sender(), Int(1), Int(0)) with pytest.raises(TealTypeError): If(Int(0), Int(1)) with pytest.raises(TealTypeError): If(Int(0), Txn.sender())

30.111111

63

0.685676

323

2,981

6.06192

0.176471

0.08427

0.022983

0.022472

0.784985

0.742594

0.734423

0.644025

0.566394

0

0.015158

0.181147

2,981

98

64

30.418367

0.786973

0.020463

0

0.68

0

0.106667

1

0.066667

false

0

0.04

0

0.106667

0

null

0

1

0

null

0

2

e7af5e5359e19c940c77ef4720f67485a7568c01

1,271

py

Python

src/pyrin/database/audit/hooks.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/database/audit/hooks.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/database/audit/hooks.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ database audit hooks module. """ import pyrin.database.audit.services as database_audit_services from pyrin.audit.decorators import audit_hook from pyrin.audit.hooks import AuditHookBase @audit_hook() class AuditHook(AuditHookBase): """ audit hook class. """ audit_name = 'database' def inspect(self, **options): """ this method will be called to inspect the status of a package or resource. it returns a tuple of two values. first value is a dict containing the inspection data. and the second value is a bool value indicating that inspection has been succeeded or failed. :keyword bool traceback: specifies that on failure report, it must include the traceback of errors. defaults to True if not provided. :keyword bool raise_error: specifies that it must raise error if any of registered audits failed instead of returning a failure response. defaults to False if not provided. :rtype: tuple[dict, bool] """ return database_audit_services.inspect(**options)

31

89

0.61133

149

1,271

5.161074

0.543624

0.06762

0.081925

0.070221

0

0.001175

0.330448

1,271

40

90

31.775

0.902468

0.624705

0

0.023324

0

1

0.125

false

0

0.375

0

0.875

0

null

0

null

0

1

0

1

0

2

e7b971829edf83181e57c19347ed794186f514fb

276

py

Python

setup.py

SamP20/hackspace-flask-theme

ad3b22c6ed1391217acd83d985620d7e8d190880

[ "MIT" ]

null

setup.py

SamP20/hackspace-flask-theme

ad3b22c6ed1391217acd83d985620d7e8d190880

[ "MIT" ]

null

setup.py

SamP20/hackspace-flask-theme

ad3b22c6ed1391217acd83d985620d7e8d190880

[ "MIT" ]

null

from setuptools import setup, find_namespace_packages setup( name='bristolhackspace.flask_theme', packages=find_namespace_packages(include=['bristolhackspace.*']), include_package_data=True, zip_safe=False, install_requires=[ "flask>=2.0", ] )

25.090909

69

0.717391

30

276

6.3

0.733333

0.137566

0.222222

0

0.008696

0.166667

276

11

70

25.090909

0.813043

0

0.202166

0.101083

0

1

0

true

0

0.1

0

0.1

0

null

0

1

0

null

0

1

0

2

e7c442614c575afcfd66094cd7a14ab271070651

527

py

Python

tests/functional/__init__.py

dimkonko/pyramid_api_example

b3bfb8dbe623544af9b147081d3e25c75a191c24

[ "MIT" ]

null

tests/functional/__init__.py

dimkonko/pyramid_api_example

b3bfb8dbe623544af9b147081d3e25c75a191c24

[ "MIT" ]

null

tests/functional/__init__.py

dimkonko/pyramid_api_example

b3bfb8dbe623544af9b147081d3e25c75a191c24

[ "MIT" ]

null

import os import unittest from pyramid import testing from pyramid.paster import get_appsettings from webtest import TestApp from pyramid_api_example import main from pyramid_api_example.path import SERVER_ROOT_PATH app_settings = get_appsettings( config_uri=os.path.join(SERVER_ROOT_PATH, 'etc', 'local.ini')) app = main({}, **app_settings) class BaseFunctionalTest(unittest.TestCase): def setUp(self): testing.setUp() self.app = TestApp(app) def tearDown(self): testing.tearDown()

21.08

66

0.745731

70

527

5.428571

0.457143

0.115789

0.073684

0.110526

0

0.16888

527

24

67

21.958333

0.86758

0

0.02277

0

1

0.125

false

0

0.4375

0

0.625

0

null

0

null

0

1

0

1

0

2

e7cb3db8c7fc0b39d890fb111fdb76076b8d97bf

145

py

Python

backend/model_api/apps.py

lizajor/ReCOVER-COVID-19

29d5872d5da0aa3621c520f1edbac510ae99b8df

[ "MIT" ]

3

2022-03-25T01:48:49.000Z

2022-03-25T01:49:50.000Z

backend/model_api/apps.py

lizajor/ReCOVER-COVID-19

29d5872d5da0aa3621c520f1edbac510ae99b8df

[ "MIT" ]

null

backend/model_api/apps.py

lizajor/ReCOVER-COVID-19

29d5872d5da0aa3621c520f1edbac510ae99b8df

[ "MIT" ]

null

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

24.166667

53

0.765517

18

145

6

0.888889

0

0.144828

145

6

53

24.166667

0.870968

0

0.239726

0.178082

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

2

e7cbe7afbcb0820235ccd4d97c09f14da529a90d

924

py

Python

tests/test_data.py

mjbommar/amos3

7364b18e514db601b6c7d8208ffab05524c2a608

[ "MIT" ]

4

2018-07-04T14:14:31.000Z

2018-12-05T21:15:34.000Z

tests/test_data.py

mjbommar/amos3

7364b18e514db601b6c7d8208ffab05524c2a608

[ "MIT" ]

9

2018-06-27T16:34:50.000Z

2018-07-05T22:45:37.000Z

tests/test_data.py

mjbommar/amos3

7364b18e514db601b6c7d8208ffab05524c2a608

[ "MIT" ]

null

# Imports import os # Package imports from nose.tools import assert_true, assert_equal, assert_in # Project imports from amos3.data import build_image_database, build_camera_database def test_build_camera_database(): """ Test build_camera_database. :return: """ camera_list = build_camera_database(num_cameras=10) assert_equal(type(camera_list), list) assert_equal(len(camera_list), 10) assert_equal(type(camera_list[0]), dict) assert_in("id", camera_list[0]) def test_build_image_database(): """ Test build_image_database. :return: """ build_image_database([30815]) assert_true(os.path.exists("data/30815/20150330_163044.jpg")) def test_build_image_database_parallel(): """ Test build_image_database. :return: """ build_image_database([30815, 30816, 30817], workers=2) assert_true(os.path.exists("data/30815/20150330_163044.jpg"))

23.692308

66

0.720779

123

924

5.065041

0.333333

0.11236

0.202247

0.141252

0.484751

0.404494

0.317817

0.154093

0

0.085492

0.164502

924

38

67

24.315789

0.721503

0.161255

0

0.133333

0

0.086713

0.083916

0

0.466667

1

0.2

false

0

0.2

0

0.4

0

null

0

1

0

null

0

1

0

2

e7d333dc481dbbba354d441627c108f5adf2bcfb

873

py

Python

day02/t01/views.py

SunShuoJia/pyproject

71f3cada463fd90243b2cdac8c982fb622f9ef9c

[ "Apache-2.0" ]

null

day02/t01/views.py

SunShuoJia/pyproject

71f3cada463fd90243b2cdac8c982fb622f9ef9c

[ "Apache-2.0" ]

null

day02/t01/views.py

SunShuoJia/pyproject

71f3cada463fd90243b2cdac8c982fb622f9ef9c

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.http import HttpResponse from .models import FireCart # Create your views here. def my_carts(req): #拿数据 data = FireCart.objects.filter(speed__lte=500).order_by("speed") #准备返回数据 result ={ "title":"火cart", "carts":data } return render(req,"trains.html",result) def search_by_name(req): # param = req.GET # kw = param.get("kw") # 根据参数，搜索数据 # res = FireCart.objects.filter( name__contains=kw ) # 搜索name结尾是kw的数据 # res =FireCart.objects.filter( name__endswith=kw ) # 搜索speed是250或300的数据 # res = FireCart.objects.filter( speed__in=[250,300] ) # 搜索出厂年份是2018的数据 # res = FireCart.objects.filter ( create_date__year=2018 ) # 搜索出厂月份大于等于9的数据 res = FireCart.objects.filter( create_date__month__gte=9 ) return render(req,"trains.html",{"carts":res})

32.333333

68

0.678121

109

873

5.247706

0.513761

0.157343

0.22028

0.20979

0.304196

0.118881

0

0.035714

0.198167

873

27

69

32.333333

0.781429

0.405498

0

0.093069

0

1

0.153846

false

0

0.230769

0

0.538462

0

null

0

1

0

null

0

2

99af4575eeff74c37be28df0dc6b151bc759bbe0

158

py

Python

pydarknetserver/__init__.py

yoyonel/pyDarknetServer

51c573971a55b1b565ffab9530a4955799a81b06

[ "MIT" ]

null

pydarknetserver/__init__.py

yoyonel/pyDarknetServer

51c573971a55b1b565ffab9530a4955799a81b06

[ "MIT" ]

234

2019-07-24T05:39:34.000Z

2022-03-28T11:38:20.000Z

pydarknetserver/__init__.py

yoyonel/pyDarknetServer

51c573971a55b1b565ffab9530a4955799a81b06

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for pyDarknetServer.""" __author__ = """Lionel Atty""" __email__ = 'yoyonel@hotmail.com' __version__ = '0.2.0'

19.75

44

0.651899

19

158

4.789474

0.947368

0

0.029197

0.132911

158

7

45

22.571429

0.635037

0.386076

0

0.384615

0

1

0

false

0

1

0

null

0

1

0

null

0

2

99d62a0da385a238fe1b2816a235cfb166355849

270

py

Python

test_ssh.py

PACELab/merit_system

3398aa4d0ec322017ec91dbde8f276fb2bbe4435

[ "MIT" ]

null

test_ssh.py

PACELab/merit_system

3398aa4d0ec322017ec91dbde8f276fb2bbe4435

[ "MIT" ]

null

test_ssh.py

PACELab/merit_system

3398aa4d0ec322017ec91dbde8f276fb2bbe4435

[ "MIT" ]

null

import subprocess, sys, os vm = sys.argv[1] try: subprocess.check_output('ssh -i ~/graybox.pem ubuntu@%s "ls"'%(vm), shell=True) except subprocess.CalledProcessError as grepexc: print "SSH threw error code", grepexc.returncode, grepexc.output print "\t\tVM IP:",vm

27

80

0.733333

41

270

4.804878

0.756098

0

0.004219

0.122222

270

9

81

30

0.827004

0

0.241636

0

null

0

0.142857

null

0.285714

0

null

0

1

0

null

0

1

0

2

99e881ea11b35b65a062a78e2429e93eb5752476

1,851

py

Python

RecoEcal/EgammaCoreTools/python/EcalSCDynamicDPhiParametersESProducer_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

RecoEcal/EgammaCoreTools/python/EcalSCDynamicDPhiParametersESProducer_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

RecoEcal/EgammaCoreTools/python/EcalSCDynamicDPhiParametersESProducer_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms ecalSCDynamicDPhiParametersESProducer = cms.ESProducer("EcalSCDynamicDPhiParametersESProducer", # Parameters from the analysis by L. Zygala [https://indico.cern.ch/event/949294/contributions/3988389/attachments/2091573/3514649/2020_08_26_Clustering.pdf] # dynamic dPhi parameters depending on cluster energy and seed crystal eta dynamicDPhiParameterSets = cms.VPSet( cms.PSet( eMin = cms.double(0.), etaMin = cms.double(2.), yoffset = cms.double(0.0928887), scale = cms.double(1.22321), xoffset = cms.double(-0.260256), width = cms.double(0.345852), saturation = cms.double(0.12), cutoff = cms.double(0.3) ), cms.PSet( eMin = cms.double(0.), etaMin = cms.double(1.75), yoffset = cms.double(0.05643), scale = cms.double(1.60429), xoffset = cms.double(-0.642352), width = cms.double(0.458106), saturation = cms.double(0.12), cutoff = cms.double(0.45) ), cms.PSet( eMin = cms.double(0.), etaMin = cms.double(1.479), yoffset = cms.double(0.0497038), scale = cms.double(0.975707), xoffset = cms.double(-0.18149), width = cms.double(0.431729), saturation = cms.double(0.14), cutoff = cms.double(0.55) ), cms.PSet( eMin = cms.double(0.), etaMin = cms.double(0.), yoffset = cms.double(0.0280506), scale = cms.double(0.946048), xoffset = cms.double(-0.101172), width = cms.double(0.432767), saturation = cms.double(0.14), cutoff = cms.double(0.6) ) ) )

37.02

161

0.545111

209

1,851

4.813397

0.382775

0.286282

0.26839

0.055666

0.296223

0.073559

0

0.145032

0.32577

1,851

49

162

37.77551

0.661058

0.123177

0

0.333333

0

0.022854

0

1

0

false

0

0.022222

0

0.022222

0

null

1

0

null

0

2

99edda12568671d7476a03969ac5452b03417fea

350

py

Python

tp1/respuesta6.py

ae77em/7526-tp-grupal-2c2018

2ed236031c74c87e1ea3c9176c02819c5d5b1738

[ "MIT" ]

null

tp1/respuesta6.py

ae77em/7526-tp-grupal-2c2018

2ed236031c74c87e1ea3c9176c02819c5d5b1738

[ "MIT" ]

null

tp1/respuesta6.py

ae77em/7526-tp-grupal-2c2018

2ed236031c74c87e1ea3c9176c02819c5d5b1738

[ "MIT" ]

null

# RESPUESTA 6 import plotly.plotly as py import plotly.graph_objs as go import plotly.tools as tls import matplotlib.pyplot as plt from funciones import experimento_geometrica # hago los experimentos datos_equilibrada = experimento_geometrica(0.5) data = [go.Histogram(x=datos_equilibrada )] py.plot(data, filename='histograma-moneda-equilibrada')

26.923077

55

0.817143

50

350

5.62

0.64

0.128114

0

0.009615

0.108571

350

12

56

29.166667

0.891026

0.094286

0

0.092357

0

1

0

false

0

0.625

0

0.625

0

null

0

null

0

1

0

1

0

2

99efe0e1092def4147ee68368c7df1283c5a9958

7,996

py

Python

src/gui/draw_board.py

leonardodelfinodev/chess

94b0e09642b320776ea941ae01c0e0c7420be18c

[ "MIT" ]

1

2021-12-22T09:58:29.000Z

src/gui/draw_board.py

leonardodelfinodev/chess

94b0e09642b320776ea941ae01c0e0c7420be18c

[ "MIT" ]

null

src/gui/draw_board.py

leonardodelfinodev/chess

94b0e09642b320776ea941ae01c0e0c7420be18c

[ "MIT" ]

null

import pygame from src.utils import constants as const class DrawBoard(object): def __init__(self, state, screen, color): self.state = state self.screen = screen self.color = color self.colors = [ const.COLORS[self.color][0], const.COLORS[self.color][1] ] @staticmethod def laod_assets(): pieces = [ const.WHITE_ROOK, const.WHITE_KNIGHT, const.WHITE_BISHOP, const.WHITE_QUEEN, const.WHITE_KING, const.WHITE_PAWN, const.BLACK_ROOK, const.BLACK_KNIGHT, const.BLACK_BISHOP, const.BLACK_QUEEN, const.BLACK_KING, const.BLACK_PAWN ] for piece in pieces: const.IMAGES[piece] = pygame.transform.scale( pygame.image.load( "./img/assets/{}.png".format(piece) ), (const.SQ_SIZE, const.SQ_SIZE) ) for i in range(1, 9): const.NUMBERS[str(i)] = pygame.transform.scale( pygame.image.load( "./img/numbers/{}.png".format(str(i)) ), (const.SQ_SIZE, const.SQ_SIZE) ) const.LETTERS[chr(ord('a') + i - 1)] = pygame.transform.scale( pygame.image.load( "./img/letters/{}.png".format(chr(ord('a')+i-1)) ), (const.SQ_SIZE, const.SQ_SIZE) ) def __draw_board(self): for row in range(const.DIM): for col in range(const.DIM): color = self.colors[((row+col) % 2)] if row == 0: pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE, row * const.SQ_SIZE, const.SQ_SIZE, const.HALF_SQUARE ) ) if row == const.DIM - 1: if col == const.DIM - 1: pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE + const.SQ_SIZE, row * const.SQ_SIZE + const.SQ_SIZE, const.SQ_SIZE, const.SQ_SIZE ) ) self.screen.blit( const.LETTERS[chr(ord('a') + col)], pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE + const.HALF_SQUARE, row * const.SQ_SIZE + const.SQ_SIZE + const.HALF_SQUARE, const.SQ_SIZE, const.HALF_SQUARE ) ) ) if col == 0: if row == const.DIM - 1: pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE, row * const.SQ_SIZE + const.SQ_SIZE, const.HALF_SQUARE, const.SQ_SIZE ) ) self.screen.blit( const.NUMBERS[str(const.DIM - row)], pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE, row * const.SQ_SIZE + const.HALF_SQUARE, const.HALF_SQUARE, const.SQ_SIZE ) ) ) if col == const.DIM - 1: if row == 0: pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( (col + 1) * const.SQ_SIZE, row * const.SQ_SIZE, const.SQ_SIZE, const.HALF_SQUARE ) ) pygame.draw.rect( self.screen, const.EDGES_RGB, pygame.Rect( col * const.SQ_SIZE + const.SQ_SIZE + const.HALF_SQUARE, row * const.SQ_SIZE + const.HALF_SQUARE, const.HALF_SQUARE, const.SQ_SIZE ) ) pygame.draw.rect( self.screen, color, pygame.Rect( col * const.SQ_SIZE + const.HALF_SQUARE, row * const.SQ_SIZE + const.HALF_SQUARE, const.SQ_SIZE, const.SQ_SIZE ) ) def __draw_pieces(self): for row in range(const.DIM): for col in range(const.DIM): piece = self.state.board[row][col] if piece != const.EMPTY_CELL: self.screen.blit( const.IMAGES[piece], pygame.Rect( col * const.SQ_SIZE + const.HALF_SQUARE, row * const.SQ_SIZE + const.HALF_SQUARE, const.SQ_SIZE, const.SQ_SIZE ) ) def __highlight_cells(self, selected_square, valid_moves): if selected_square != (): r, c = selected_square if self.state.board[r][c][0] == ("w" if self.state.white_move else "b"): surface_1 = pygame.Surface((const.SQ_SIZE, const.SQ_SIZE)) surface_2 = pygame.Surface((const.SQ_SIZE, const.SQ_SIZE)) surface_1.set_alpha(200) surface_2.set_alpha(120 if self.color == 0 else 160) # yellow, blue surface_1.fill((253, 216, 53) if self.color == 0 else (1, 87, 155)) self.screen.blit(surface_1, (c * const.SQ_SIZE + const.HALF_SQUARE, r * const.SQ_SIZE + const.HALF_SQUARE)) # green, yellow surface_2.fill((100, 221, 23) if self.color == 0 else (253, 216, 53)) for move in valid_moves: if move.start_row == r and move.start_col == c: self.screen.blit( surface_2, (const.SQ_SIZE * move.end_col + const.HALF_SQUARE, const.SQ_SIZE * move.end_row + const.HALF_SQUARE) ) def __highlight_king(self): if self.state.check: surface = pygame.Surface((const.SQ_SIZE, const.SQ_SIZE)) surface.set_alpha(200) # red surface.fill((250, 10, 0)) r, c = self.state.wk_cell if self.state.white_move else self.state.bk_cell self.screen.blit( surface, (const.SQ_SIZE * c + const.HALF_SQUARE, const.SQ_SIZE * r + const.HALF_SQUARE) ) def draw_game_state(self, valid_moves, selected_square): self.__draw_board() if selected_square != () and selected_square[0] != -1 and selected_square[1] != -1: self.__highlight_cells(selected_square, valid_moves) self.__highlight_king() self.__draw_pieces()

39.004878

123

0.414207

765

7,996

4.12549

0.141176

0.117554

0.184728

0.1673

0.579531

0.525032

0.469899

0.408745

0.398289

0.352978

0

0.019681

0.497999

7,996

204

124

39.196078

0.766567

0.003752

0

0.420765

0

0.008039

0

1

0.038251

false

0

0.010929

0

0.054645

0

null

0

1

0

null

0

2

8219c16352a4ae8fac4784b9508b1e95ddd2eaab

578

py

Python

test/test_bin_data.py

teristam/pyneurode

7222704b531fe0a17c67a76cafa78ad666eda041

[ "MIT" ]

1

2022-02-03T17:07:31.000Z

test/test_bin_data.py

teristam/pyneurode

7222704b531fe0a17c67a76cafa78ad666eda041

[ "MIT" ]

null

test/test_bin_data.py

teristam/pyneurode

7222704b531fe0a17c67a76cafa78ad666eda041

[ "MIT" ]

null

from pyneurode.utils import pos_bin_data, get_binned_mean import pytest import numpy as np @pytest.fixture def pos(): return np.array([1,2,3,1,2,3]) @pytest.fixture def x(): return np.array([1,2,3,4,5,6]) def test_pos_bin_data(pos,x): binned_idx,bins = pos_bin_data(pos,3) expected = np.array([0,1,2,0,1,2]) assert np.allclose(binned_idx,expected) def test_get_binned_mean(pos,x): binned_idx,bins = pos_bin_data(pos,3) mean_x = get_binned_mean(binned_idx,bins,x) expected = np.array([2.5,3.5,4.5]) assert np.allclose(mean_x,expected)

22.230769

57

0.700692

111

578

3.45045

0.288288

0.02611

0.104439

0.101828

0.245431

0.16188

0

0.053061

0.152249

578

25

58

23.12

0.728571

0

0.222222

0

0.111111

1

0.222222

false

0

0.166667

0.111111

0.5

0

null

0

null

0

1

0

1

0

2

4154298e7a81a7f50f5b9cd2af2853685e2eaded

1,637

py

Python

inkpy/inklist.py

facelesspanda/inkpy

f21949b856f19f0b4781fa878760a7d1a03d3623

[ "MIT" ]

null

inkpy/inklist.py

facelesspanda/inkpy

f21949b856f19f0b4781fa878760a7d1a03d3623

[ "MIT" ]

null

inkpy/inklist.py

facelesspanda/inkpy

f21949b856f19f0b4781fa878760a7d1a03d3623

[ "MIT" ]

null

from ._runtime import InkList as RInkList class InkList: # Constructor def __init__(self, *, l=RInkList()): if not isinstance(l, RInkList): raise TypeError self._l = l # Properties @property def min(self): return self._l.min @property def max(self): return self._l.max @property def all(self): return self._l.all # Methods def copy(self): l = InkList() l._l = self._l.copy() return l # Specials def __contains__(self, other): return other in self._l def __hash__(self): return hash(self._l) def __str__(self): return str(self._l) def __len__(self): return len(self._l) def __invert__(self): return ~self._l # Comparisons def __lt__(self, other): return self._l < other._l def __le__(self, other): return self._l <= other._l def __eq__(self, other): return self._l == other._l def __ne__(self, other): return self._l != other._l def __gt__(self, other): return self._l > other._l def __ge__(self, other): return self._l >= other._l # Alterations def __or__(self, other): return self._l | other._l def __and__(self, other): return self._l & other._l def __sub__(self, other): return self._l - other._l def __ior__(self, other): if isinstance(other, InkList): other = other._l self._l |= other._l def __isub__(self, other): if isinstance(other, InkList): other = other._l self._l -= other

19.963415

55

0.576054

211

1,637

3.981043

0.218009

0.136905

0.170238

0.130952

0.440476

0.435714

0.404762

0.128571

0

0.317043

1,637

81

56

20.209877

0.751342

0.038485

0

0.096154

0

1

0.403846

false

0

0.019231

0.326923

0.788462

0

null

0

null

0

1

0

1

0

2

415a8b16e01d7953974c1ab48c1e8329dff8ada3

289

py

Python

mundo 2/aula 14/exer64.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

null

mundo 2/aula 14/exer64.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

null

mundo 2/aula 14/exer64.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

1

2020-02-22T17:21:05.000Z

#TRATANDO VÁRIOS VALORES total = soma = numb = 0 numb = int(input('digite o numero [999 para parar]: ')) while numb != 999: total += 1 soma = numb + soma numb = int(input('digite o numero [999 para parar]: ')) print(f'voce digitou {total} numeros e a soma entre eles é {soma}')

36.125

67

0.650519

46

289

4.086957

0.586957

0.12766

0.191489

0.393617

0

0.048458

0.214533

289

8

67

36.125

0.779736

0.079585

0

0.285714

0

0.469925

0

1

0

false

0

0.142857

0

null

0

1

0

1

0

null

0

2

415c0b6755b52067dfdfbfed381f93aed9b49667

2,002

py

Python

src/codeforces.py

manishbisht/notify

0e2448d44e97321ae7e44f3af6d098fc457efe6f

[ "MIT" ]

null

src/codeforces.py

manishbisht/notify

0e2448d44e97321ae7e44f3af6d098fc457efe6f

[ "MIT" ]

null

src/codeforces.py

manishbisht/notify

0e2448d44e97321ae7e44f3af6d098fc457efe6f

[ "MIT" ]

null

import urllib, json, time url = "http://codeforces.com/api/contest.list?gym=false" response = urllib.urlopen(url) data = json.loads(response.read()) speech_output = "There are no upcoming contest on codeforces." if data["status"] == "OK": result = [] for d in data["result"]: if d["phase"] != "BEFORE": break result = d if result == []: speech_output = "There are no upcoming contest on codeforces." else: now = result["startTimeSeconds"] then = int(time.time()) d = divmod(now - then, 86400) h = divmod(d[1], 3600) m = divmod(h[1], 60) s = m[1] speech_output = "The next contest on codeforces " + result["name"] + " will start in " \ '%d days, %d hours, %d minutes, %d seconds' % ( d[0], h[0], m[0], s) print speech_output url = "http://codeforces.com/api/contest.list?gym=false" response = urllib.urlopen(url) data = json.loads(response.read()) speech_output = "There is no contest running on codeforces." if data["status"] == "OK": result = [] for d in data["result"]: result = d if d["phase"] == "CODING": break elif d["phase"] == "FINISHED": result = [] break if result == []: speech_output = "There is no contest running on codeforces." else: then = result["startTimeSeconds"] + result["durationSeconds"] now = int(time.time()) d = divmod(then - now, 86400) h = divmod(d[1], 3600) m = divmod(h[1], 60) s = m[1] speech_output = "The contest " + result["name"] + " will end in " \ '%d days, %d hours, %d minutes, %d seconds' % ( d[0], h[0], m[0], s) print speech_output

37.773585

124

0.486513

231

2,002

4.181818

0.285714

0.099379

0.070393

0.041408

0.722567

0.668737

0.530021

0

0.027222

0.376124

2,002

52

125

38.5

0.746197

0

0.76

0

0.269231

0

null

0

0.02

null

0.04

0

null

0

1

0

null

0

1

0

2

4162796b024d8ec9fab1aa58ec80ead0e7a6c5e9

788

py

Python

reddit.py

Get-Luusy/get.luusy

7a165a05a1231dda6f2ab083e54788f0bd2617cd

[ "MIT" ]

null

reddit.py

Get-Luusy/get.luusy

7a165a05a1231dda6f2ab083e54788f0bd2617cd

[ "MIT" ]

null

reddit.py

Get-Luusy/get.luusy

7a165a05a1231dda6f2ab083e54788f0bd2617cd

[ "MIT" ]

null

import praw import keyboard import time from PIL import Image import math from glob import glob import random import requests import re import pprint import importlib import datetime import urllib.request import string import sys from config import config reddit = praw.Reddit(client_id=config["rd_client"], client_secret=config["rd_secret"], username=config["rd_dev_name"], password=config["rd_dev_pass"], user_agent="tesh254") def DLimage(url, filepath, filename): fullpath = filepath + filename + ".jpg" urllib.request.urlretrieve(url, fullpath) def IsImageLink(url): LinkRegex = re.compile('((https:|http:)?\/\/.*\.(png|jpg|jpeg))') results = LinkRegex.findall(url) if results: return results[0][2] else: return False

23.176471

106

0.713198

103

788

5.368932

0.543689

0.057866

0.039783

0

0.007704

0.176396

788

33

107

23.878788

0.844376

0

0.114358

0.049555

0

1

0.071429

false

0.035714

0.571429

0

0.714286

0.035714

0

null

0

null

0

1

0

1

0

2

416be66f15b774bf6ab7defff620cd07bba053e3

46,367

py

Python

env/lib/python3.8/site-packages/apache_beam/portability/api/beam_artifact_api_pb2.py

paulowe/apache-beam-redocumentation

d1b0f345d8e46f9893f56c2bb890edc07be09f2a

[ "MIT" ]

null

env/lib/python3.8/site-packages/apache_beam/portability/api/beam_artifact_api_pb2.py

paulowe/apache-beam-redocumentation

d1b0f345d8e46f9893f56c2bb890edc07be09f2a

[ "MIT" ]

null

env/lib/python3.8/site-packages/apache_beam/portability/api/beam_artifact_api_pb2.py

paulowe/apache-beam-redocumentation

d1b0f345d8e46f9893f56c2bb890edc07be09f2a

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: beam_artifact_api.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from . import beam_runner_api_pb2 as beam__runner__api__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='beam_artifact_api.proto', package='org.apache.beam.model.job_management.v1', syntax='proto3', serialized_options=b'\n&org.apache.beam.model.jobmanagement.v1B\013ArtifactApiZRgithub.com/apache/beam/sdks/v2/go/pkg/beam/model/jobmanagement_v1;jobmanagement_v1', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x17\x62\x65\x61m_artifact_api.proto\x12\'org.apache.beam.model.job_management.v1\x1a\x15\x62\x65\x61m_runner_api.proto\"|\n\x17ResolveArtifactsRequest\x12I\n\tartifacts\x18\x01 \x03(\x0b\x32\x36.org.apache.beam.model.pipeline.v1.ArtifactInformation\x12\x16\n\x0epreferred_urns\x18\x02 \x03(\t\"h\n\x18ResolveArtifactsResponse\x12L\n\x0creplacements\x18\x01 \x03(\x0b\x32\x36.org.apache.beam.model.pipeline.v1.ArtifactInformation\"^\n\x12GetArtifactRequest\x12H\n\x08\x61rtifact\x18\x01 \x01(\x0b\x32\x36.org.apache.beam.model.pipeline.v1.ArtifactInformation\"#\n\x13GetArtifactResponse\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\"\xd8\x01\n\x16\x41rtifactRequestWrapper\x12]\n\x10resolve_artifact\x18\xe8\x07 \x01(\x0b\x32@.org.apache.beam.model.job_management.v1.ResolveArtifactsRequestH\x00\x12T\n\x0cget_artifact\x18\xe9\x07 \x01(\x0b\x32;.org.apache.beam.model.job_management.v1.GetArtifactRequestH\x00\x42\t\n\x07request\"\x96\x02\n\x17\x41rtifactResponseWrapper\x12\x15\n\rstaging_token\x18\x01 \x01(\t\x12\x0f\n\x07is_last\x18\x02 \x01(\x08\x12g\n\x19resolve_artifact_response\x18\xe8\x07 \x01(\x0b\x32\x41.org.apache.beam.model.job_management.v1.ResolveArtifactsResponseH\x00\x12^\n\x15get_artifact_response\x18\xe9\x07 \x01(\x0b\x32<.org.apache.beam.model.job_management.v1.GetArtifactResponseH\x00\x42\n\n\x08response\"E\n\x10\x41rtifactMetadata\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x13\n\x0bpermissions\x18\x02 \x01(\r\x12\x0e\n\x06sha256\x18\x04 \x01(\t\"W\n\x08Manifest\x12K\n\x08\x61rtifact\x18\x01 \x03(\x0b\x32\x39.org.apache.beam.model.job_management.v1.ArtifactMetadata\"\xce\x01\n\rProxyManifest\x12\x43\n\x08manifest\x18\x01 \x01(\x0b\x32\x31.org.apache.beam.model.job_management.v1.Manifest\x12Q\n\x08location\x18\x02 \x03(\x0b\x32?.org.apache.beam.model.job_management.v1.ProxyManifest.Location\x1a%\n\x08Location\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0b\n\x03uri\x18\x02 \x01(\t\"-\n\x12GetManifestRequest\x12\x17\n\x0fretrieval_token\x18\x01 \x01(\t\"Z\n\x13GetManifestResponse\x12\x43\n\x08manifest\x18\x01 \x01(\x0b\x32\x31.org.apache.beam.model.job_management.v1.Manifest\"A\n\x18LegacyGetArtifactRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x17\n\x0fretrieval_token\x18\x02 \x01(\t\"\x1d\n\rArtifactChunk\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\"\x81\x01\n\x13PutArtifactMetadata\x12\x1d\n\x15staging_session_token\x18\x01 \x01(\t\x12K\n\x08metadata\x18\x02 \x01(\x0b\x32\x39.org.apache.beam.model.job_management.v1.ArtifactMetadata\"\xb9\x01\n\x12PutArtifactRequest\x12P\n\x08metadata\x18\x01 \x01(\x0b\x32<.org.apache.beam.model.job_management.v1.PutArtifactMetadataH\x00\x12\x46\n\x04\x64\x61ta\x18\x02 \x01(\x0b\x32\x36.org.apache.beam.model.job_management.v1.ArtifactChunkH\x00\x42\t\n\x07\x63ontent\"\x15\n\x13PutArtifactResponse\"{\n\x15\x43ommitManifestRequest\x12\x43\n\x08manifest\x18\x01 \x01(\x0b\x32\x31.org.apache.beam.model.job_management.v1.Manifest\x12\x1d\n\x15staging_session_token\x18\x02 \x01(\t\"|\n\x16\x43ommitManifestResponse\x12\x17\n\x0fretrieval_token\x18\x01 \x01(\t\"I\n\tConstants\x12<\n\x19NO_ARTIFACTS_STAGED_TOKEN\x10\x00\x1a\x1d\xaa\xb4\xfa\xc2\x05\x17__no_artifacts_staged__2\xc1\x02\n\x18\x41rtifactRetrievalService\x12\x97\x01\n\x10ResolveArtifacts\x12@.org.apache.beam.model.job_management.v1.ResolveArtifactsRequest\x1a\x41.org.apache.beam.model.job_management.v1.ResolveArtifactsResponse\x12\x8a\x01\n\x0bGetArtifact\x12;.org.apache.beam.model.job_management.v1.GetArtifactRequest\x1a<.org.apache.beam.model.job_management.v1.GetArtifactResponse0\x01\x32\xc3\x01\n\x16\x41rtifactStagingService\x12\xa8\x01\n\x1fReverseArtifactRetrievalService\x12@.org.apache.beam.model.job_management.v1.ArtifactResponseWrapper\x1a?.org.apache.beam.model.job_management.v1.ArtifactRequestWrapper(\x01\x30\x01\x32\xbf\x02\n\x1cLegacyArtifactStagingService\x12\x8a\x01\n\x0bPutArtifact\x12;.org.apache.beam.model.job_management.v1.PutArtifactRequest\x1a<.org.apache.beam.model.job_management.v1.PutArtifactResponse(\x01\x12\x91\x01\n\x0e\x43ommitManifest\x12>.org.apache.beam.model.job_management.v1.CommitManifestRequest\x1a?.org.apache.beam.model.job_management.v1.CommitManifestResponse2\xb8\x02\n\x1eLegacyArtifactRetrievalService\x12\x88\x01\n\x0bGetManifest\x12;.org.apache.beam.model.job_management.v1.GetManifestRequest\x1a<.org.apache.beam.model.job_management.v1.GetManifestResponse\x12\x8a\x01\n\x0bGetArtifact\x12\x41.org.apache.beam.model.job_management.v1.LegacyGetArtifactRequest\x1a\x36.org.apache.beam.model.job_management.v1.ArtifactChunk0\x01\x42\x89\x01\n&org.apache.beam.model.jobmanagement.v1B\x0b\x41rtifactApiZRgithub.com/apache/beam/sdks/v2/go/pkg/beam/model/jobmanagement_v1;jobmanagement_v1b\x06proto3' , dependencies=[beam__runner__api__pb2.DESCRIPTOR,]) _COMMITMANIFESTRESPONSE_CONSTANTS = _descriptor.EnumDescriptor( name='Constants', full_name='org.apache.beam.model.job_management.v1.CommitManifestResponse.Constants', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='NO_ARTIFACTS_STAGED_TOKEN', index=0, number=0, serialized_options=b'\252\264\372\302\005\027__no_artifacts_staged__', type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=2081, serialized_end=2154, ) _sym_db.RegisterEnumDescriptor(_COMMITMANIFESTRESPONSE_CONSTANTS) _RESOLVEARTIFACTSREQUEST = _descriptor.Descriptor( name='ResolveArtifactsRequest', full_name='org.apache.beam.model.job_management.v1.ResolveArtifactsRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='artifacts', full_name='org.apache.beam.model.job_management.v1.ResolveArtifactsRequest.artifacts', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='preferred_urns', full_name='org.apache.beam.model.job_management.v1.ResolveArtifactsRequest.preferred_urns', index=1, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=91, serialized_end=215, ) _RESOLVEARTIFACTSRESPONSE = _descriptor.Descriptor( name='ResolveArtifactsResponse', full_name='org.apache.beam.model.job_management.v1.ResolveArtifactsResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='replacements', full_name='org.apache.beam.model.job_management.v1.ResolveArtifactsResponse.replacements', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=217, serialized_end=321, ) _GETARTIFACTREQUEST = _descriptor.Descriptor( name='GetArtifactRequest', full_name='org.apache.beam.model.job_management.v1.GetArtifactRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='artifact', full_name='org.apache.beam.model.job_management.v1.GetArtifactRequest.artifact', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=323, serialized_end=417, ) _GETARTIFACTRESPONSE = _descriptor.Descriptor( name='GetArtifactResponse', full_name='org.apache.beam.model.job_management.v1.GetArtifactResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='data', full_name='org.apache.beam.model.job_management.v1.GetArtifactResponse.data', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=419, serialized_end=454, ) _ARTIFACTREQUESTWRAPPER = _descriptor.Descriptor( name='ArtifactRequestWrapper', full_name='org.apache.beam.model.job_management.v1.ArtifactRequestWrapper', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='resolve_artifact', full_name='org.apache.beam.model.job_management.v1.ArtifactRequestWrapper.resolve_artifact', index=0, number=1000, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='get_artifact', full_name='org.apache.beam.model.job_management.v1.ArtifactRequestWrapper.get_artifact', index=1, number=1001, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='request', full_name='org.apache.beam.model.job_management.v1.ArtifactRequestWrapper.request', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=457, serialized_end=673, ) _ARTIFACTRESPONSEWRAPPER = _descriptor.Descriptor( name='ArtifactResponseWrapper', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='staging_token', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper.staging_token', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='is_last', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper.is_last', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='resolve_artifact_response', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper.resolve_artifact_response', index=2, number=1000, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='get_artifact_response', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper.get_artifact_response', index=3, number=1001, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='response', full_name='org.apache.beam.model.job_management.v1.ArtifactResponseWrapper.response', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=676, serialized_end=954, ) _ARTIFACTMETADATA = _descriptor.Descriptor( name='ArtifactMetadata', full_name='org.apache.beam.model.job_management.v1.ArtifactMetadata', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='org.apache.beam.model.job_management.v1.ArtifactMetadata.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='permissions', full_name='org.apache.beam.model.job_management.v1.ArtifactMetadata.permissions', index=1, number=2, type=13, cpp_type=3, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sha256', full_name='org.apache.beam.model.job_management.v1.ArtifactMetadata.sha256', index=2, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=956, serialized_end=1025, ) _MANIFEST = _descriptor.Descriptor( name='Manifest', full_name='org.apache.beam.model.job_management.v1.Manifest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='artifact', full_name='org.apache.beam.model.job_management.v1.Manifest.artifact', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1027, serialized_end=1114, ) _PROXYMANIFEST_LOCATION = _descriptor.Descriptor( name='Location', full_name='org.apache.beam.model.job_management.v1.ProxyManifest.Location', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='org.apache.beam.model.job_management.v1.ProxyManifest.Location.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='uri', full_name='org.apache.beam.model.job_management.v1.ProxyManifest.Location.uri', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1286, serialized_end=1323, ) _PROXYMANIFEST = _descriptor.Descriptor( name='ProxyManifest', full_name='org.apache.beam.model.job_management.v1.ProxyManifest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='manifest', full_name='org.apache.beam.model.job_management.v1.ProxyManifest.manifest', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='location', full_name='org.apache.beam.model.job_management.v1.ProxyManifest.location', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_PROXYMANIFEST_LOCATION, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1117, serialized_end=1323, ) _GETMANIFESTREQUEST = _descriptor.Descriptor( name='GetManifestRequest', full_name='org.apache.beam.model.job_management.v1.GetManifestRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='retrieval_token', full_name='org.apache.beam.model.job_management.v1.GetManifestRequest.retrieval_token', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1325, serialized_end=1370, ) _GETMANIFESTRESPONSE = _descriptor.Descriptor( name='GetManifestResponse', full_name='org.apache.beam.model.job_management.v1.GetManifestResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='manifest', full_name='org.apache.beam.model.job_management.v1.GetManifestResponse.manifest', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1372, serialized_end=1462, ) _LEGACYGETARTIFACTREQUEST = _descriptor.Descriptor( name='LegacyGetArtifactRequest', full_name='org.apache.beam.model.job_management.v1.LegacyGetArtifactRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='org.apache.beam.model.job_management.v1.LegacyGetArtifactRequest.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='retrieval_token', full_name='org.apache.beam.model.job_management.v1.LegacyGetArtifactRequest.retrieval_token', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1464, serialized_end=1529, ) _ARTIFACTCHUNK = _descriptor.Descriptor( name='ArtifactChunk', full_name='org.apache.beam.model.job_management.v1.ArtifactChunk', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='data', full_name='org.apache.beam.model.job_management.v1.ArtifactChunk.data', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1531, serialized_end=1560, ) _PUTARTIFACTMETADATA = _descriptor.Descriptor( name='PutArtifactMetadata', full_name='org.apache.beam.model.job_management.v1.PutArtifactMetadata', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='staging_session_token', full_name='org.apache.beam.model.job_management.v1.PutArtifactMetadata.staging_session_token', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='metadata', full_name='org.apache.beam.model.job_management.v1.PutArtifactMetadata.metadata', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1563, serialized_end=1692, ) _PUTARTIFACTREQUEST = _descriptor.Descriptor( name='PutArtifactRequest', full_name='org.apache.beam.model.job_management.v1.PutArtifactRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='metadata', full_name='org.apache.beam.model.job_management.v1.PutArtifactRequest.metadata', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='data', full_name='org.apache.beam.model.job_management.v1.PutArtifactRequest.data', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='content', full_name='org.apache.beam.model.job_management.v1.PutArtifactRequest.content', index=0, containing_type=None, create_key=_descriptor._internal_create_key, fields=[]), ], serialized_start=1695, serialized_end=1880, ) _PUTARTIFACTRESPONSE = _descriptor.Descriptor( name='PutArtifactResponse', full_name='org.apache.beam.model.job_management.v1.PutArtifactResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1882, serialized_end=1903, ) _COMMITMANIFESTREQUEST = _descriptor.Descriptor( name='CommitManifestRequest', full_name='org.apache.beam.model.job_management.v1.CommitManifestRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='manifest', full_name='org.apache.beam.model.job_management.v1.CommitManifestRequest.manifest', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='staging_session_token', full_name='org.apache.beam.model.job_management.v1.CommitManifestRequest.staging_session_token', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1905, serialized_end=2028, ) _COMMITMANIFESTRESPONSE = _descriptor.Descriptor( name='CommitManifestResponse', full_name='org.apache.beam.model.job_management.v1.CommitManifestResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='retrieval_token', full_name='org.apache.beam.model.job_management.v1.CommitManifestResponse.retrieval_token', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ _COMMITMANIFESTRESPONSE_CONSTANTS, ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2030, serialized_end=2154, ) _RESOLVEARTIFACTSREQUEST.fields_by_name['artifacts'].message_type = beam__runner__api__pb2._ARTIFACTINFORMATION _RESOLVEARTIFACTSRESPONSE.fields_by_name['replacements'].message_type = beam__runner__api__pb2._ARTIFACTINFORMATION _GETARTIFACTREQUEST.fields_by_name['artifact'].message_type = beam__runner__api__pb2._ARTIFACTINFORMATION _ARTIFACTREQUESTWRAPPER.fields_by_name['resolve_artifact'].message_type = _RESOLVEARTIFACTSREQUEST _ARTIFACTREQUESTWRAPPER.fields_by_name['get_artifact'].message_type = _GETARTIFACTREQUEST _ARTIFACTREQUESTWRAPPER.oneofs_by_name['request'].fields.append( _ARTIFACTREQUESTWRAPPER.fields_by_name['resolve_artifact']) _ARTIFACTREQUESTWRAPPER.fields_by_name['resolve_artifact'].containing_oneof = _ARTIFACTREQUESTWRAPPER.oneofs_by_name['request'] _ARTIFACTREQUESTWRAPPER.oneofs_by_name['request'].fields.append( _ARTIFACTREQUESTWRAPPER.fields_by_name['get_artifact']) _ARTIFACTREQUESTWRAPPER.fields_by_name['get_artifact'].containing_oneof = _ARTIFACTREQUESTWRAPPER.oneofs_by_name['request'] _ARTIFACTRESPONSEWRAPPER.fields_by_name['resolve_artifact_response'].message_type = _RESOLVEARTIFACTSRESPONSE _ARTIFACTRESPONSEWRAPPER.fields_by_name['get_artifact_response'].message_type = _GETARTIFACTRESPONSE _ARTIFACTRESPONSEWRAPPER.oneofs_by_name['response'].fields.append( _ARTIFACTRESPONSEWRAPPER.fields_by_name['resolve_artifact_response']) _ARTIFACTRESPONSEWRAPPER.fields_by_name['resolve_artifact_response'].containing_oneof = _ARTIFACTRESPONSEWRAPPER.oneofs_by_name['response'] _ARTIFACTRESPONSEWRAPPER.oneofs_by_name['response'].fields.append( _ARTIFACTRESPONSEWRAPPER.fields_by_name['get_artifact_response']) _ARTIFACTRESPONSEWRAPPER.fields_by_name['get_artifact_response'].containing_oneof = _ARTIFACTRESPONSEWRAPPER.oneofs_by_name['response'] _MANIFEST.fields_by_name['artifact'].message_type = _ARTIFACTMETADATA _PROXYMANIFEST_LOCATION.containing_type = _PROXYMANIFEST _PROXYMANIFEST.fields_by_name['manifest'].message_type = _MANIFEST _PROXYMANIFEST.fields_by_name['location'].message_type = _PROXYMANIFEST_LOCATION _GETMANIFESTRESPONSE.fields_by_name['manifest'].message_type = _MANIFEST _PUTARTIFACTMETADATA.fields_by_name['metadata'].message_type = _ARTIFACTMETADATA _PUTARTIFACTREQUEST.fields_by_name['metadata'].message_type = _PUTARTIFACTMETADATA _PUTARTIFACTREQUEST.fields_by_name['data'].message_type = _ARTIFACTCHUNK _PUTARTIFACTREQUEST.oneofs_by_name['content'].fields.append( _PUTARTIFACTREQUEST.fields_by_name['metadata']) _PUTARTIFACTREQUEST.fields_by_name['metadata'].containing_oneof = _PUTARTIFACTREQUEST.oneofs_by_name['content'] _PUTARTIFACTREQUEST.oneofs_by_name['content'].fields.append( _PUTARTIFACTREQUEST.fields_by_name['data']) _PUTARTIFACTREQUEST.fields_by_name['data'].containing_oneof = _PUTARTIFACTREQUEST.oneofs_by_name['content'] _COMMITMANIFESTREQUEST.fields_by_name['manifest'].message_type = _MANIFEST _COMMITMANIFESTRESPONSE_CONSTANTS.containing_type = _COMMITMANIFESTRESPONSE DESCRIPTOR.message_types_by_name['ResolveArtifactsRequest'] = _RESOLVEARTIFACTSREQUEST DESCRIPTOR.message_types_by_name['ResolveArtifactsResponse'] = _RESOLVEARTIFACTSRESPONSE DESCRIPTOR.message_types_by_name['GetArtifactRequest'] = _GETARTIFACTREQUEST DESCRIPTOR.message_types_by_name['GetArtifactResponse'] = _GETARTIFACTRESPONSE DESCRIPTOR.message_types_by_name['ArtifactRequestWrapper'] = _ARTIFACTREQUESTWRAPPER DESCRIPTOR.message_types_by_name['ArtifactResponseWrapper'] = _ARTIFACTRESPONSEWRAPPER DESCRIPTOR.message_types_by_name['ArtifactMetadata'] = _ARTIFACTMETADATA DESCRIPTOR.message_types_by_name['Manifest'] = _MANIFEST DESCRIPTOR.message_types_by_name['ProxyManifest'] = _PROXYMANIFEST DESCRIPTOR.message_types_by_name['GetManifestRequest'] = _GETMANIFESTREQUEST DESCRIPTOR.message_types_by_name['GetManifestResponse'] = _GETMANIFESTRESPONSE DESCRIPTOR.message_types_by_name['LegacyGetArtifactRequest'] = _LEGACYGETARTIFACTREQUEST DESCRIPTOR.message_types_by_name['ArtifactChunk'] = _ARTIFACTCHUNK DESCRIPTOR.message_types_by_name['PutArtifactMetadata'] = _PUTARTIFACTMETADATA DESCRIPTOR.message_types_by_name['PutArtifactRequest'] = _PUTARTIFACTREQUEST DESCRIPTOR.message_types_by_name['PutArtifactResponse'] = _PUTARTIFACTRESPONSE DESCRIPTOR.message_types_by_name['CommitManifestRequest'] = _COMMITMANIFESTREQUEST DESCRIPTOR.message_types_by_name['CommitManifestResponse'] = _COMMITMANIFESTRESPONSE _sym_db.RegisterFileDescriptor(DESCRIPTOR) ResolveArtifactsRequest = _reflection.GeneratedProtocolMessageType('ResolveArtifactsRequest', (_message.Message,), { 'DESCRIPTOR' : _RESOLVEARTIFACTSREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ResolveArtifactsRequest) }) _sym_db.RegisterMessage(ResolveArtifactsRequest) ResolveArtifactsResponse = _reflection.GeneratedProtocolMessageType('ResolveArtifactsResponse', (_message.Message,), { 'DESCRIPTOR' : _RESOLVEARTIFACTSRESPONSE, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ResolveArtifactsResponse) }) _sym_db.RegisterMessage(ResolveArtifactsResponse) GetArtifactRequest = _reflection.GeneratedProtocolMessageType('GetArtifactRequest', (_message.Message,), { 'DESCRIPTOR' : _GETARTIFACTREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.GetArtifactRequest) }) _sym_db.RegisterMessage(GetArtifactRequest) GetArtifactResponse = _reflection.GeneratedProtocolMessageType('GetArtifactResponse', (_message.Message,), { 'DESCRIPTOR' : _GETARTIFACTRESPONSE, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.GetArtifactResponse) }) _sym_db.RegisterMessage(GetArtifactResponse) ArtifactRequestWrapper = _reflection.GeneratedProtocolMessageType('ArtifactRequestWrapper', (_message.Message,), { 'DESCRIPTOR' : _ARTIFACTREQUESTWRAPPER, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ArtifactRequestWrapper) }) _sym_db.RegisterMessage(ArtifactRequestWrapper) ArtifactResponseWrapper = _reflection.GeneratedProtocolMessageType('ArtifactResponseWrapper', (_message.Message,), { 'DESCRIPTOR' : _ARTIFACTRESPONSEWRAPPER, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ArtifactResponseWrapper) }) _sym_db.RegisterMessage(ArtifactResponseWrapper) ArtifactMetadata = _reflection.GeneratedProtocolMessageType('ArtifactMetadata', (_message.Message,), { 'DESCRIPTOR' : _ARTIFACTMETADATA, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ArtifactMetadata) }) _sym_db.RegisterMessage(ArtifactMetadata) Manifest = _reflection.GeneratedProtocolMessageType('Manifest', (_message.Message,), { 'DESCRIPTOR' : _MANIFEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.Manifest) }) _sym_db.RegisterMessage(Manifest) ProxyManifest = _reflection.GeneratedProtocolMessageType('ProxyManifest', (_message.Message,), { 'Location' : _reflection.GeneratedProtocolMessageType('Location', (_message.Message,), { 'DESCRIPTOR' : _PROXYMANIFEST_LOCATION, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ProxyManifest.Location) }) , 'DESCRIPTOR' : _PROXYMANIFEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ProxyManifest) }) _sym_db.RegisterMessage(ProxyManifest) _sym_db.RegisterMessage(ProxyManifest.Location) GetManifestRequest = _reflection.GeneratedProtocolMessageType('GetManifestRequest', (_message.Message,), { 'DESCRIPTOR' : _GETMANIFESTREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.GetManifestRequest) }) _sym_db.RegisterMessage(GetManifestRequest) GetManifestResponse = _reflection.GeneratedProtocolMessageType('GetManifestResponse', (_message.Message,), { 'DESCRIPTOR' : _GETMANIFESTRESPONSE, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.GetManifestResponse) }) _sym_db.RegisterMessage(GetManifestResponse) LegacyGetArtifactRequest = _reflection.GeneratedProtocolMessageType('LegacyGetArtifactRequest', (_message.Message,), { 'DESCRIPTOR' : _LEGACYGETARTIFACTREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.LegacyGetArtifactRequest) }) _sym_db.RegisterMessage(LegacyGetArtifactRequest) ArtifactChunk = _reflection.GeneratedProtocolMessageType('ArtifactChunk', (_message.Message,), { 'DESCRIPTOR' : _ARTIFACTCHUNK, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.ArtifactChunk) }) _sym_db.RegisterMessage(ArtifactChunk) PutArtifactMetadata = _reflection.GeneratedProtocolMessageType('PutArtifactMetadata', (_message.Message,), { 'DESCRIPTOR' : _PUTARTIFACTMETADATA, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.PutArtifactMetadata) }) _sym_db.RegisterMessage(PutArtifactMetadata) PutArtifactRequest = _reflection.GeneratedProtocolMessageType('PutArtifactRequest', (_message.Message,), { 'DESCRIPTOR' : _PUTARTIFACTREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.PutArtifactRequest) }) _sym_db.RegisterMessage(PutArtifactRequest) PutArtifactResponse = _reflection.GeneratedProtocolMessageType('PutArtifactResponse', (_message.Message,), { 'DESCRIPTOR' : _PUTARTIFACTRESPONSE, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.PutArtifactResponse) }) _sym_db.RegisterMessage(PutArtifactResponse) CommitManifestRequest = _reflection.GeneratedProtocolMessageType('CommitManifestRequest', (_message.Message,), { 'DESCRIPTOR' : _COMMITMANIFESTREQUEST, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.CommitManifestRequest) }) _sym_db.RegisterMessage(CommitManifestRequest) CommitManifestResponse = _reflection.GeneratedProtocolMessageType('CommitManifestResponse', (_message.Message,), { 'DESCRIPTOR' : _COMMITMANIFESTRESPONSE, '__module__' : 'beam_artifact_api_pb2' # @@protoc_insertion_point(class_scope:org.apache.beam.model.job_management.v1.CommitManifestResponse) }) _sym_db.RegisterMessage(CommitManifestResponse) DESCRIPTOR._options = None _COMMITMANIFESTRESPONSE_CONSTANTS.values_by_name["NO_ARTIFACTS_STAGED_TOKEN"]._options = None _ARTIFACTRETRIEVALSERVICE = _descriptor.ServiceDescriptor( name='ArtifactRetrievalService', full_name='org.apache.beam.model.job_management.v1.ArtifactRetrievalService', file=DESCRIPTOR, index=0, serialized_options=None, create_key=_descriptor._internal_create_key, serialized_start=2157, serialized_end=2478, methods=[ _descriptor.MethodDescriptor( name='ResolveArtifacts', full_name='org.apache.beam.model.job_management.v1.ArtifactRetrievalService.ResolveArtifacts', index=0, containing_service=None, input_type=_RESOLVEARTIFACTSREQUEST, output_type=_RESOLVEARTIFACTSRESPONSE, serialized_options=None, create_key=_descriptor._internal_create_key, ), _descriptor.MethodDescriptor( name='GetArtifact', full_name='org.apache.beam.model.job_management.v1.ArtifactRetrievalService.GetArtifact', index=1, containing_service=None, input_type=_GETARTIFACTREQUEST, output_type=_GETARTIFACTRESPONSE, serialized_options=None, create_key=_descriptor._internal_create_key, ), ]) _sym_db.RegisterServiceDescriptor(_ARTIFACTRETRIEVALSERVICE) DESCRIPTOR.services_by_name['ArtifactRetrievalService'] = _ARTIFACTRETRIEVALSERVICE _ARTIFACTSTAGINGSERVICE = _descriptor.ServiceDescriptor( name='ArtifactStagingService', full_name='org.apache.beam.model.job_management.v1.ArtifactStagingService', file=DESCRIPTOR, index=1, serialized_options=None, create_key=_descriptor._internal_create_key, serialized_start=2481, serialized_end=2676, methods=[ _descriptor.MethodDescriptor( name='ReverseArtifactRetrievalService', full_name='org.apache.beam.model.job_management.v1.ArtifactStagingService.ReverseArtifactRetrievalService', index=0, containing_service=None, input_type=_ARTIFACTRESPONSEWRAPPER, output_type=_ARTIFACTREQUESTWRAPPER, serialized_options=None, create_key=_descriptor._internal_create_key, ), ]) _sym_db.RegisterServiceDescriptor(_ARTIFACTSTAGINGSERVICE) DESCRIPTOR.services_by_name['ArtifactStagingService'] = _ARTIFACTSTAGINGSERVICE _LEGACYARTIFACTSTAGINGSERVICE = _descriptor.ServiceDescriptor( name='LegacyArtifactStagingService', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactStagingService', file=DESCRIPTOR, index=2, serialized_options=None, create_key=_descriptor._internal_create_key, serialized_start=2679, serialized_end=2998, methods=[ _descriptor.MethodDescriptor( name='PutArtifact', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactStagingService.PutArtifact', index=0, containing_service=None, input_type=_PUTARTIFACTREQUEST, output_type=_PUTARTIFACTRESPONSE, serialized_options=None, create_key=_descriptor._internal_create_key, ), _descriptor.MethodDescriptor( name='CommitManifest', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactStagingService.CommitManifest', index=1, containing_service=None, input_type=_COMMITMANIFESTREQUEST, output_type=_COMMITMANIFESTRESPONSE, serialized_options=None, create_key=_descriptor._internal_create_key, ), ]) _sym_db.RegisterServiceDescriptor(_LEGACYARTIFACTSTAGINGSERVICE) DESCRIPTOR.services_by_name['LegacyArtifactStagingService'] = _LEGACYARTIFACTSTAGINGSERVICE _LEGACYARTIFACTRETRIEVALSERVICE = _descriptor.ServiceDescriptor( name='LegacyArtifactRetrievalService', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactRetrievalService', file=DESCRIPTOR, index=3, serialized_options=None, create_key=_descriptor._internal_create_key, serialized_start=3001, serialized_end=3313, methods=[ _descriptor.MethodDescriptor( name='GetManifest', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactRetrievalService.GetManifest', index=0, containing_service=None, input_type=_GETMANIFESTREQUEST, output_type=_GETMANIFESTRESPONSE, serialized_options=None, create_key=_descriptor._internal_create_key, ), _descriptor.MethodDescriptor( name='GetArtifact', full_name='org.apache.beam.model.job_management.v1.LegacyArtifactRetrievalService.GetArtifact', index=1, containing_service=None, input_type=_LEGACYGETARTIFACTREQUEST, output_type=_ARTIFACTCHUNK, serialized_options=None, create_key=_descriptor._internal_create_key, ), ]) _sym_db.RegisterServiceDescriptor(_LEGACYARTIFACTRETRIEVALSERVICE) DESCRIPTOR.services_by_name['LegacyArtifactRetrievalService'] = _LEGACYARTIFACTRETRIEVALSERVICE # @@protoc_insertion_point(module_scope)

42.813481

4,705

0.786119

5,355

46,367

6.463492

0.068161

0.034843

0.043944

0.060846

0.705651

0.677193

0.665347

0.63686

0.592367

0.579077

0

0.030509

0.097979

46,367

1,082

4,706

42.85305

0.797054

0.044816

0

0.649284

1

0.046012

0.215996

0.175215

0

1

0

false

0

0.005112

0

0.005112

0

null

0

1

0

1

0

null

0

2

418826cde5a1f948d4c38128cdcc64a197f10760

1,357

py

Python

zellortlstreamer/__init__.py

trgosk/zello-channel-api

732cf5da03caba6a479cd605377943da57b5c257

[ "MIT" ]

null

zellortlstreamer/__init__.py

trgosk/zello-channel-api

732cf5da03caba6a479cd605377943da57b5c257

[ "MIT" ]

null

zellortlstreamer/__init__.py

trgosk/zello-channel-api

732cf5da03caba6a479cd605377943da57b5c257

[ "MIT" ]

null

#!/usr/bin/env python from enum import Enum from bitstream import BitStream #MAJOR.MINOR.PATCH __version__ = "1.0.1" #Buffer class DataBufferState(Enum): BUFFER_ENABLED = 33 BUFFER_DISABLED = 55 class DataBuffer: """ Buffer data and control class state = used to control data in buffer are valid for use flush = used to control if new data is written to buffer watch = used to take an action if size data in buffer at some value """ def __init__(self, buffer=BitStream(), state=DataBufferState.BUFFER_ENABLED, flush=False, watch=False): self.buffer = buffer self.state = state self.flush = flush self.watch = watch def Enable(self): self.state = DataBufferState.BUFFER_ENABLED def Disable(self): self.state = DataBufferState.BUFFER_DISABLED def isEnabled(self): return self.state == DataBufferState.BUFFER_ENABLED def isDisabled(self): return self.state == DataBufferState.BUFFER_DISABLED def GetState(self): return self.state def ResetBuffer(self): self.buffer = BitStream() def GetSizeInBits(self): return len(self.buffer.buffer) def GetSizeInBytes(self): return int(len(self.buffer)/8) databuffer = DataBuffer()

23.807018

71

0.646279

162

1,357

5.320988

0.382716

0.062645

0.150812

0.139211

0.220418

0.211137

0

0.00813

0.274871

1,357

56

72

24.232143

0.867886

0.187915

0

0.004664

0

1

0.272727

false

0

0.060606

0.151515

0.606061

0

null

0

null

0

1

0

1

0

2

418fd13337441f7ea91dca713b9a80bc78c77101

2,505

py

Python

records/schema.py

marcelotokarnia/mountain-catalog

6753a3369f9d3523bc94decc1a59f57737e03e16

[ "MIT" ]

1

2018-06-15T22:55:29.000Z

records/schema.py

marcelotokarnia/mountain-catalog

6753a3369f9d3523bc94decc1a59f57737e03e16

[ "MIT" ]

10

2020-06-05T18:14:03.000Z

2022-03-02T02:42:15.000Z

records/schema.py

marcelotokarnia/mountain-catalog

6753a3369f9d3523bc94decc1a59f57737e03e16

[ "MIT" ]

null

import graphene from mountains.models import Mountain from django.contrib.gis.measure import D from django.contrib.gis.db.models.functions import Distance from django.contrib.gis.geos import GEOSGeometry from utils.schema_utils import find_operation_field, get_selections class ActivityType(graphene.ObjectType): """ Strava Activity representation """ id = graphene.ID() # distance = graphene.Float(description="Distance from given position on query") # position = graphene.Field(PositionType, description="Mountain peak geo point") # elevation = graphene.Int(description="Mountain height in meters") # name = graphene.String() # country = graphene.String() # image = graphene.String() # province = graphene.String() # state = graphene.String() # curiosities = graphene.String() # region = graphene.String() # created_by = graphene.String() class Query(graphene.ObjectType): activities = graphene.List( ActivityType, description="Query strava activities" ) def resolve_activities(self, info, **args): # distance = args.get('distance') # elevation = args.get('elevation') # position = args.get('position') # sort = args.get('sort') # selections = get_selections( # find_operation_field(info.field_asts, 'mountains'), # info.fragments # ) # queryset = Mountain.objects.all() # if elevation is not None: # if elevation.min is not None: # queryset = queryset.filter( # elevation__gte=elevation.min # ) # if elevation.max is not None: # queryset = queryset.filter( # elevation__lte=elevation.max # ) # if position is not None: # pnt = position.point # if distance is not None: # if distance.max is not None: # queryset = queryset.filter( # spot__distance_lte=(pnt, D(km=distance.max)) # ) # if distance.min is not None: # queryset = queryset.filter( # spot__distance_gte=(pnt, D(km=distance.min)) # ) # queryset = queryset.annotate(distance=Distance('spot', pnt)) results = [] # for mount in queryset: # results.append(MountainType(mount, selections)) return results

36.838235

84

0.589621

249

2,505

5.851406

0.349398

0.07687

0.04324

0.046671

0.122169

0.059025

0

0.309381

2,505

67

85

37.38806

0.842197

0.611976

0

0.024919

0

1

0.0625

false

0

0.375

0

0.75

0

null

0

null

0

1

0

1

0

2

419537199b41a50b7711bddf05560e93793c8d3a

3,677

py

Python

utils/myjpeg.py

I2-Multimedia-Lab/Countering-Adversarial-Examples-Using-JPEG-Compression

5c80091dcf2b80d6d22af8e5e1b103218c36e889

[ "MIT" ]

2

2020-06-25T00:34:10.000Z

2020-10-05T01:30:22.000Z

utils/myjpeg.py

I2-Multimedia-Lab/Countering-Adversarial-Examples-Using-JPEG-Compression

5c80091dcf2b80d6d22af8e5e1b103218c36e889

[ "MIT" ]

2

2020-09-25T22:40:46.000Z

2020-09-26T01:15:30.000Z

utils/myjpeg.py

I2-Multimedia-Lab/Countering-Adversarial-Examples-Using-JPEG-Compression

5c80091dcf2b80d6d22af8e5e1b103218c36e889

[ "MIT" ]

null

import numpy as np import sys import tensorflow as tf from PIL import Image from scipy.fftpack import dct, idct import cv2 T = np.array([ [0.3536, 0.3536, 0.3536, 0.3536, 0.3536, 0.3536, 0.3536, 0.3536], [0.4904, 0.4157, 0.2778, 0.0975, -0.0975, -0.2778, -0.4157, -0.4904], [0.4619, 0.1913, -0.1913, -0.4619, -0.4619, -0.1913, 0.1913, 0.4619], [0.4157, -0.0975, -0.4904, -0.2778, 0.2778, 0.4904, 0.0975, -0.4157], [0.3536, -0.3536, -0.3536, 0.3536, 0.3536, -0.3536, -0.3536, 0.3536], [0.2778, -0.4904, 0.0975, 0.4157, -0.4157, -0.0975, 0.4904, -0.2778], [0.1913, -0.4619, 0.4619, -0.1913, -0.1913, 0.4619, -0.4619, 0.1913], [0.0975, -0.2778, 0.4157, -0.4904, 0.4904, -0.4157, 0.2778, -0.0975] ]) "" Jpeg_def_table = np.array([ [16, 11, 10, 16, 24, 40, 51, 61], [12, 12, 14, 19, 26, 58, 60, 55], [14, 13, 16, 24, 40, 57, 69, 56], [14, 17, 22, 29, 51, 87, 80, 62], [18, 22, 37, 56, 68, 109, 103, 77], [24, 36, 55, 64, 81, 104, 113, 92], [49, 64, 78, 87, 103, 121, 120, 101], [72, 92, 95, 98, 112, 100, 103, 99], ]) ''' num = 8 q_table = np.ones((num, num)) * 25 # q_table[0:4, 0:4] = 20 print(q_table) ''' def dct2(block): return dct(dct(block.T, norm='ortho').T, norm='ortho') def idct2(block): return idct(idct(block.T, norm='ortho').T, norm='ortho') def myjpeg(input_matrix): output = [] num = 8 q_table = np.array([[5, 5, 20, 20, 46, 46, 46, 46, ], [5, 20, 20, 46, 46, 46, 46, 46, ], [20, 20, 46, 46, 46, 46, 46, 46, ], [20, 46, 46, 46, 46, 46, 46, 46, ], [46, 46, 46, 46, 46, 46, 46, 46, ], [46, 46, 46, 46, 46, 46, 46, 20, ], [46, 46, 46, 46, 46, 46, 20, 20, ], [46, 46, 46, 46, 460, 20, 20, 20, ]]) n = input_matrix.shape[0] h = input_matrix.shape[1] w = input_matrix.shape[2] c = input_matrix.shape[3] horizontal_blocks_num = w / num output2 = np.zeros((c, h, w)) output3 = np.zeros((n, 3, h, w)) vertical_blocks_num = h / num n_block = np.split(input_matrix, n, axis=0) for i in range(n): c_block = np.split(n_block[i], c, axis=3) j = 0 for ch_block in c_block: vertical_blocks = np.split(ch_block, vertical_blocks_num, axis=1) k = 0 for block_ver in vertical_blocks: hor_blocks = np.split(block_ver, horizontal_blocks_num, axis=2) m = 0 for block in hor_blocks: block = np.reshape(block, (num, num)) block = dct2(block) # quantization table_quantized = np.matrix.round(np.divide(block, q_table)) table_quantized = np.squeeze(np.asarray(table_quantized)) table_unquantized = table_quantized * q_table IDCT_table = idct2(table_unquantized) if m == 0: output = IDCT_table else: output = np.concatenate((output, IDCT_table), axis=1) m = m + 1 if k == 0: output1 = output else: output1 = np.concatenate((output1, output), axis=0) k = k + 1 output2[j] = output1 j = j + 1 output3[i] = output2 output3 = np.transpose(output3, (0, 2, 1, 3)) output3 = np.transpose(output3, (0, 1, 3, 2)) output3 = output3 / 255 output3 = np.clip(np.float32(output3), 0.0, 1.0) return output3

35.355769

80

0.495785

567

3,677

3.13933

0.243386

0.092135

0.117978

0.130337

0.319101

0.276404

0.266292

0.213483

0.147191

0

0.269136

0.339135

3,677

103

81

35.699029

0.463374

0.003264

0

0.047059

0

0.005598

0

1

0.035294

false

0

0.070588

0.023529

0.141176

0

null

0

1

0

1

0

null

0

2

41965b0e9c9e74aa594c98a71c4b4fc2a1ea3a8b

4,321

py

Python

modelvshuman/datasets/noise_generalisation.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

158

2021-06-04T15:19:58.000Z

2022-03-30T00:31:28.000Z

modelvshuman/datasets/noise_generalisation.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

7

2021-07-20T03:57:34.000Z

2022-02-01T11:00:47.000Z

modelvshuman/datasets/noise_generalisation.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

14

2021-06-16T13:33:11.000Z

2022-03-29T15:04:09.000Z

from dataclasses import dataclass, field from os.path import join as pjoin from typing import List from .registry import register_dataset from .. import constants as c from . import decision_mappings, info_mappings from .dataloaders import PytorchLoader from ..evaluation import metrics as m from .base import Dataset from .experiments import * __all__ = ["colour", "contrast", "high_pass", "low_pass", "phase_scrambling", "power_equalisation", "false_colour", "rotation", "eidolonI", "eidolonII", "eidolonIII", "uniform_noise"] @dataclass class NoiseGeneralisationParams: path: str = "" experiments: List = field(default_factory=list) image_size: int = 224 metrics: list = field(default_factory=lambda: [m.Accuracy(topk=1)]) decision_mapping: object = decision_mappings.ImageNetProbabilitiesTo16ClassesMapping() info_mapping: object = info_mappings.InfoMappingWithSessions() contains_sessions: bool = True def _get_dataset(name, params, *args, **kwargs): assert params is not None, "Dataset params are missing" params.path = pjoin(c.DATASET_DIR, name) return Dataset(name=name, params=params, loader=PytorchLoader, *args, **kwargs) @register_dataset(name="colour") def colour(*args, **kwargs): return _get_dataset(name="colour", params=NoiseGeneralisationParams(experiments=[colour_experiment]), *args, **kwargs) @register_dataset(name="contrast") def contrast(*args, **kwargs): return _get_dataset(name="contrast", params=NoiseGeneralisationParams(experiments=[contrast_experiment]), *args, **kwargs) @register_dataset(name="high-pass") def high_pass(*args, **kwargs): return _get_dataset(name="high-pass", params=NoiseGeneralisationParams(experiments=[high_pass_experiment]), *args, **kwargs) @register_dataset(name="low-pass") def low_pass(*args, **kwargs): return _get_dataset(name="low-pass", params=NoiseGeneralisationParams(experiments=[low_pass_experiment]), *args, **kwargs) @register_dataset(name="phase-scrambling") def phase_scrambling(*args, **kwargs): return _get_dataset(name="phase-scrambling", params=NoiseGeneralisationParams(experiments=[phase_scrambling_experiment]), *args, **kwargs) @register_dataset(name="power-equalisation") def power_equalisation(*args, **kwargs): return _get_dataset(name="power-equalisation", params=NoiseGeneralisationParams(experiments=[power_equalisation_experiment]), *args, **kwargs) @register_dataset(name="false-colour") def false_colour(*args, **kwargs): return _get_dataset(name="false-colour", params=NoiseGeneralisationParams(experiments=[false_colour_experiment]), *args, **kwargs) @register_dataset(name="rotation") def rotation(*args, **kwargs): return _get_dataset(name="rotation", params=NoiseGeneralisationParams(experiments=[rotation_experiment]), *args, **kwargs) @register_dataset(name="eidolonI") def eidolonI(*args, **kwargs): return _get_dataset(name="eidolonI", params=NoiseGeneralisationParams(experiments=[eidolonI_experiment]), *args, **kwargs) @register_dataset(name="eidolonII") def eidolonII(*args, **kwargs): return _get_dataset(name="eidolonII", params=NoiseGeneralisationParams(experiments=[eidolonII_experiment]), *args, **kwargs) @register_dataset(name="eidolonIII") def eidolonIII(*args, **kwargs): return _get_dataset(name="eidolonIII", params=NoiseGeneralisationParams(experiments=[eidolonIII_experiment]), *args, **kwargs) @register_dataset(name="uniform-noise") def uniform_noise(*args, **kwargs): return _get_dataset(name="uniform-noise", params=NoiseGeneralisationParams(experiments=[uniform_noise_experiment]), *args, **kwargs)

35.130081

102

0.64823

406

4,321

6.692118

0.199507

0.105263

0.066986

0.110416

0.315789

0.305116

0.116305

0

0.001823

0.238371

4,321

122

103

35.418033

0.823762

0

0.131868

0

0.092803

0

0.010989

1

0.142857

false

0.098901

0.10989

0.131868

0.483516

0

null

0

null

0

1

0

1

0

2

41a8b26f388922d89d647623e162a4767fb5d786

115

py

Python

docker/optimization/pyOpt/tags/v1.2.0/pyOpt/pyCONMIN/__init__.py

liujiamingustc/phd

4f815a738abad43531d02ac66f5bd0d9a1def52a

[ "Apache-2.0" ]

3

2021-01-06T03:01:18.000Z

2022-03-21T03:02:55.000Z

docker/optimization/pyOpt/tags/v1.2.0/pyOpt/pyCONMIN/__init__.py

liujiamingustc/phd

4f815a738abad43531d02ac66f5bd0d9a1def52a

[ "Apache-2.0" ]

null

docker/optimization/pyOpt/tags/v1.2.0/pyOpt/pyCONMIN/__init__.py

liujiamingustc/phd

4f815a738abad43531d02ac66f5bd0d9a1def52a

[ "Apache-2.0" ]

null

#!/usr/bin/env python try: from pyCONMIN import CONMIN __all__ = ['CONMIN'] except: __all__ = [] #end

12.777778

31

0.617391

14

115

4.5

0.857143

0

0.243478

115

8

32

14.375

0.724138

0.2

0

0.066667

0

1

0

false

0

0.2

0

0.2

0

1

0

null

0

1

0

null

0

2

41b09ca21a191757bcadd1d09af9d01092e1c250

1,241

py

Python

libsaas/services/basecamp/accesses.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

155

2015-01-27T15:17:59.000Z

2022-02-20T00:14:08.000Z

libsaas/services/basecamp/accesses.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

14

2015-01-12T08:22:37.000Z

2021-06-16T19:49:31.000Z

libsaas/services/basecamp/accesses.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

43

2015-01-28T22:41:45.000Z

2021-09-21T04:44:26.000Z

from libsaas import http, parsers from libsaas.services import base from .resource import BasecampResource class AccessResource(BasecampResource): path = 'accesses' def create(self, *args, **kwargs): raise base.MethodNotSupported() def update(self, *args, **kwargs): raise base.MethodNotSupported() def delete(self, *args, **kwargs): raise base.MethodNotSupported() class Accesses(AccessResource): @base.apimethod def grant(self, obj): """ Create a new resource. :var obj: a Python object representing the resource to be created, usually in the same format as returned from `get`. Refer to the upstream documentation for details. """ self.require_collection() request = http.Request('POST', self.get_url(), self.wrap_object(obj)) return request, parsers.parse_empty class Access(AccessResource): def get(self, *args, **kwargs): raise base.MethodNotSupported() @base.apimethod def revoke(self): """ Delete this resource. """ self.require_item() request = http.Request('DELETE', self.get_url()) return request, parsers.parse_empty

24.333333

77

0.641418

136

1,241

5.801471

0.441176

0.040558

0.070976

0.096324

0.291508

0.215463

0.111534

0

0.257857

1,241

50

78

24.82

0.856678

0.177276

0

0.32

0

0.018947

0

1

0.24

false

0

0.12

0

0.6

0

null

0

null

0

1

0

1

0

2

41bc8a8dd97e9fa436c0c60e3cf2099324d086f2

8,671

py

Python

honeysnap/ftpDecode.py

honeynet/honeysnap

9b5e9ab6b5557692b78efe788cdaf24404ddf1eb

[ "FSFAP" ]

7

2016-06-30T14:19:27.000Z

2017-07-12T12:14:53.000Z

honeysnap/ftpDecode.py

honeynet/honeysnap

9b5e9ab6b5557692b78efe788cdaf24404ddf1eb

[ "FSFAP" ]

null

honeysnap/ftpDecode.py

honeynet/honeysnap

9b5e9ab6b5557692b78efe788cdaf24404ddf1eb

[ "FSFAP" ]

2

2017-02-03T19:46:28.000Z

2018-11-21T18:14:09.000Z

################################################################################ # (c) 2006, The Honeynet Project # Author: Jed Haile jed.haile@thelogangroup.biz # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA # ################################################################################ # $Id$ import re from util import renameFile from flow import reverse as freverse import tcpflow import pcap from flowIdentify import flowIdentify from flowDecode import flowDecode cmds = ['STOR', 'STOU', 'RETR', 'LIST', 'NLST', 'APPE'] class ftpDecode(flowDecode): def __init__(self): super(ftpDecode, self).__init__() self.tf = self.options['time_convert_fn'] self.statemgr = None # for some reason the data samples I'm using # often have UUUUUUPORT, compensate for that in the RE # It turns out these are being stuck in the stream due to duplicate ACKS self.activeRE = re.compile("^U*PORT", re.M) self.passiveRE = re.compile("PASV") self.portIPRE = re.compile("(\d+,){5}\d+") self.userRE = re.compile("USER\s(.*)") self.passRE = re.compile("PASS\s(.*)") # response code 227 is PASV # response code 229 is EPASV self._227re = re.compile("^227|^229", re.M) self.id = flowIdentify() def print_summary(self): """Print summary info""" super(ftpDecode, self).print_summary('\nFTP summary for %s\n\n') def decode(self, state, statemgr): self.statemgr = statemgr state.open(flags="rb", statemgr = self.statemgr) d = state.fp.readlines() state.close() #t, req = self.determineType(d) d = "".join(d) f = state.flow #print '%s.%s-%s.%s' % (f.src, f.sport, f.dst, f.dport) if f.dport == 21: # ftp control connection # use these to figure out filenames for other flows m = self.passiveRE.search(d) if m is not None: self.extractPassive(state, d) else: # if we didn't find a PASV command, assume active self.extractActive(state, d) def extractActive(self, state, d): #print "Active FTP" username, password = "Unknown", "Unknown" # look for port lines m = self.activeRE.search(d) if m is None: return # split data into a list of lines lines = d.splitlines() iterlines = iter(lines) for l in iterlines: m = self.userRE.search(l) if m: username = m.group(1) continue m = self.passRE.search(l) if m: password = m.group(1) continue if l.find("PORT")>=0: try: nextl = iterlines.next() except StopIteration: return if nextl.find("RETR")>=0: # this means the current PORT will be # a data channel for a downaload filename = nextl.split(" ")[1] ip_port = l.split(" ")[1].split(",") #ip = ".".join(ip_port[0:4]) port = int(ip_port[4])*256 + int(ip_port[5]) # now we know the ip and port of the client # data channel. # find the correct state # it will look like the reverse flow, with a different dport rflow = freverse(state.flow) rflow.dport = port rflow.sport = 20 # find the state that carries the data rstate = self.statemgr.find_flow_state(rflow) # rename the data file if rstate is not None: fn = renameFile(rstate, filename) id, m5 = self.id.identify(rstate) output = "%s requested %s from %s (%s, %s) at %s\n\tfile: %s, filetype: %s, md5 sum: %s\n" % (rstate.flow.dst, filename, rstate.flow.src, username, password, self.tf(rstate.ts), fn, id, m5) self.add_flow(rstate.ts, rstate.flow.src, rstate.flow.dst, output) def extractPassive(self, state, d): #print "Passive FTP" username, password = "Unknown", "Unknown" # repr(port/256), repr(port%256) # first we have to find the reverse flow/state # from it we will extract the ip and port info rflow = freverse(state.flow) rstate = self.statemgr.find_flow_state(rflow) if rstate is None: # no reverse state, bail return rstate.open(flags="rb", statemgr=self.statemgr) dchannel = rstate.fp.readlines() rstate.close() lines = d.splitlines() iterlines = iter(lines) portlines = [] cmdlines = [] # find all the lines from the server # that open a data port # find all the 227 lines in the data channel for l in dchannel: m = self._227re.search(l) if m is not None: portlines.append(l) # find all the client lines that use # a data port for l in lines: m = self.userRE.search(l) if m: username = m.group(1) continue else: username = "Unknown" m = self.passRE.search(l) if m: password = m.group(1) continue else: password = "Unknown" w = [i for i in cmds if i in l.split()[0]] if len(w) == 0: # this line doesn't contain a data command continue cmdlines.append(l) # zip the 2 lists together # should give [(227 response, Client CMD),...] pairs = zip(portlines, cmdlines) for p in pairs: if p[1].find("RETR") < 0: # not a RETR command continue m = self.portIPRE.search(p[0]) if m is not None: # the last 2 items in the RE result are the port info info = m.group().split(",") p256 = int(info[-2]) p1 = int(info[-1]) ip = ".".join(info[0:4]) port = 256*p256 + p1 else: continue filename = p[1].split(" ")[1] rflow.sport = port # passive ftp transactions happen on high ports # so the stream extractor has not extracted the data # create a new stream extractor to pull the data p = pcap.pcap(self.options["tmpf"]) de = tcpflow.tcpFlow(p) filter = "src host %s and src port %d" % (rflow.src, rflow.sport) de.setFilter(filter) de.setOutdir(self.options["output_data_directory"]+ "/%s/ftp") # run the flow extractor de.start() # now find the correct state flows = [f for f in de.states.getFlows() if f.isSrcSport(ip, port)] if len(flows) > 0: if len(flows) > 1: print "hmmm, got more than 1 flow" rflow = flows[0] rstate = de.states.find_flow_state(rflow) # rename the data file if rstate is not None: fn = renameFile(rstate, filename) id, m5 = self.id.identify(rstate) output = "%s requested %s from %s (%s, %s) at %s\n\tfile: %s, filetype: %s, md5 sum: %s\n" % (rstate.flow.dst, filename, rstate.flow.src, username, password, self.tf(rstate.ts), fn, id, m5) self.add_flow(rstate.ts, rstate.flow.src, rstate.flow.dst, output)

40.330233

145

0.51505

1,058

8,671

4.194707

0.28828

0.011266

0.01014

0.011266

0.252141

0.217215

0.175304

0.163137

0

0.018868

0.37043

8,671

214

146

40.518692

0.794101

0.262369

0

0.372263

0

0.014599

0.068651

0.003416

0

null

0.10219

0.051095

null

0.021898

0

null

0

null

0

1

0

1

0

2