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from django.urls import include, path from likes.api.views import ( LikeListAPIView, LikedCountAPIView, LikeToggleView, LikedIDsAPIView ) app_name = 'likes-api' urlpatterns = [ path('likes/', include([ path('count/', LikedCountAPIView.as_view(), name='count'), path('is/', LikedIDsA...
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import numpy as np class GreedyKCenter(object): def fit(self, points, k): centers = [] centers_index = [] # Initialize distances distances = [np.inf for u in points] # Initialize cluster labels labels = [np.inf for u in points] for cluster in range(k): ...
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import numpy as np import pandas as pd from pandas.io.parsers import read_csv from BOAmodel import * from collections import defaultdict """ parameters """ # The following parameters are recommended to change depending on the size and complexity of the data N = 2000 # number of rules to be used in SA_patternbase...
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from doitpy.pyflakes import Pyflakes from doitpy.coverage import Coverage, PythonPackage DOIT_CONFIG = { 'default_tasks': ['pyflakes'], 'verbosity': 2, } def task_pyflakes(): flaker = Pyflakes() yield flaker.tasks('**/*.py') def task_coverage(): """show coverage for all modules including tests...
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from .kor2vec import Kor2Vec from .context_kor2vec import ContextKor2Vec from .model.vocab import * # from .pretrained import SejongVector import warnings warnings.filterwarnings("ignore")
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class Base: """The base object for all top-level client objects. Parameters ---------- domain : one of rubicon.domain.* The top-level object's domain instance. config : rubicon.client.Config, optional The config, which injects the repository to use. """ def __init__(self, d...
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import torch import numpy as np from torch.autograd import Variable class loss_block: def __init__(self): super(loss_block, self).__init__() def loss(self,input_vals,lables): return torch.mean(input_vals)
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import pytest import numpy as np from floodlight import XY @pytest.fixture() def example_sequence(): seq = np.array( [np.NaN, np.NaN, -5.07, -2.7, np.NaN, np.NaN, 1.53, 27.13, None, 30.06] ) return seq @pytest.fixture() def example_sequence_empty(): seq = np.empty(()) return seq @pytes...
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import os import tensorflow as tf num_threads = os.environ.get('OMP_NUM_THREADS') def get_session(gpu_fraction=0.75): """Assume that you have 6GB of GPU memory and want to allocate ~2GB""" gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=gpu_fraction) if num_threads: print("with nth...
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from helper_helper import * from helper_helper import _time @unittest.skipUnless( os.environ.get('TEST_API','true').lower()=='true', 'skipping api' ) class ApiHelper(Chai): def setUp(self): super(ApiHelper,self).setUp() self.series = Timeseries(self.client, type='series', prefix='kairos', read_func=i...
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from flask import request from test import client from app.utils import SERIES, SERIES_URL from app.utils import get_by_id, finder def test_home_page(client): """ Testcase for home url """ response = client.get("/api") assert SERIES_URL == response.get_json() assert SERIES_URL == response.get_json() ...
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import xml.etree.ElementTree as ET import py7zr import json import os import glob import re import argparse from pathlib import Path from bs4 import BeautifulSoup from multiprocessing import Pool, cpu_count from tqdm import tqdm XML_SUFFIX = '<?xml version="1.0" encoding="utf-8"?>\n<posts>\n' XML_PREFIX = '\n</posts>'...
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class Kite(object): def __init__(self): self.code = "kite" def foo(self): print("bar!")
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from models.multiple_solution.swarm_based.EPO import BaseEPO from utils.FunctionUtil import * ## Setting parameters root_paras = { "problem_size": 100, "domain_range": [-100, 100], "print_train": True, "objective_func": C30 } epo_paras = { "epoch": 500, "pop_size": 100 } ## Run model md = Base...
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import time import boto3 import os import sys from data_mesh_util.lib.ApiAutomator import ApiAutomator sys.path.append(os.path.join(os.path.dirname(__file__), "resource")) sys.path.append(os.path.join(os.path.dirname(__file__), "lib")) from data_mesh_util.lib.SubscriberTracker import * class DataMeshProducer: ...
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from enum import Enum class PublicMethods(Enum): """ Публичные методы, которые не требуют шифрования при запросе """ KEY_INFO = 'key_info' I_CLIENT_PUB_KEY = 'iclient_pub_key' class AsymEncryptionHandShake(Enum): ASYM_HAND_SHAKE = 'asym_hand_shake'
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from multiprocessing import Pool import numpy as np from mmcv.utils import print_log from mmdet.core.evaluation.bbox_overlaps import bbox_overlaps from mmdet.core.evaluation.mean_ap import get_cls_results def calc_tpfpfn(det_bboxes, gt_bboxes, iou_thr=0.5): """Check if detected bboxes are true positive or false...
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class Database: database = None def __init__(self): self.content = "User Data" @staticmethod def getInstance(): if not Database.database: print("New database instance created") Database.database = Database() return Database.database def describe(self): print("The databa...
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from datetime import datetime import pytz from django.test.testcases import TestCase from robber.expect import expect from freezegun import freeze_time from analytics import constants from analytics.factories import AttachmentTrackingFactory from data.cache_managers import allegation_cache_manager from data.constant...
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from TeamPromoConnectionFactory import TeamPromoConnectionFactory from TeamAssessmentConnectionFactory import TeamAssessmentConnectionFactory # Testing factory for Promo Team currentFactory = TeamPromoConnectionFactory() RPCConnection = currentFactory.createRPCConnection() HTTPConnection = currentFactory.createHTTPCon...
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from typing import Tuple import gdsfactory as gf from gdsfactory.geometry import check_width def test_wmin_failing(layer: Tuple[int, int] = (1, 0)) -> None: w = 50 min_width = 50 + 10 # component edges are smaller than min_width c = gf.components.rectangle(size=(w, w), layer=layer) gdspath = c.write...
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from django.conf.urls import patterns, url from contact_updater.views import prepopulate_agency, form_index urlpatterns = patterns( '', url(r'^$', form_index, name='contact_updater_index'), url(r'^(?P<slug>[-\w]+)/?$', prepopulate_agency, name='contact_updater_form'), )
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import torch from torch.testing._internal.common_utils import TestCase from torch.testing._internal.common_utils import dtype2prec_DONTUSE from depthwise_conv3d import DepthwiseConv3d class TestConv(TestCase): def test_Conv3d_depthwise_naive_groups_cuda(self, dtype=torch.float): for depth_multip...
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import pickle import json def v2d(names: list): return {v: eval(v) for v in names} def save_pickle(file_name: str, object): with open(file_name, 'wb') as f: pickle.dump(object, f) def load_pickle(file_name: str): with open(file_name, 'rb') as f: return pickle.load(f) def load_json(fi...
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def extractJunktranslatesWordpressCom(item): ''' Parser for 'junktranslates.wordpress.com' ''' vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title']) if not (chp or vol) or "preview" in item['title'].lower(): return None tagmap = [ ('intl', 'It’s Not Too Late to Meet Again After Reb...
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import os from typing import List, Tuple, Optional import json import pathlib import tarfile from contextlib import closing from requests import Response, get from autocorrect import Speller from sentry_sdk import capture_exception from rozental_as_a_service.common_types import TypoInfo from rozental_as_a_service.con...
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from amuse.support.interface import InCodeComponentImplementation from amuse.test.amusetest import TestWithMPI from amuse.test import compile_tools import os import time import shlex from amuse.units import nbody_system from amuse.units import units from amuse import datamodel from amuse.rfi import channel from amuse...
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import torch.nn as nn from rpn.utils.eval_utils import binary_accuracy from rpn.utils.config import dict_to_namedtuple def compute_bce_loss(logits, labels, weight=None): loss_fn = nn.BCEWithLogitsLoss(weight=weight, reduction='mean') loss = loss_fn(logits, labels) return loss def log_binary_accuracy_fpf...
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from notion.store import RecordStore def no_save_cache(self, attribute): return() def no_load_cache(self, attributes=("_values", "_role", "_collection_row_ids")): return() # Prevents the cache from being written and loaded # Provides a massive speed boost for short lived commands RecordStore._save_cache =...
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from armulator.armv6.opcodes.abstract_opcode import AbstractOpcode from armulator.armv6.bits_ops import unsigned_sat_q, zero_extend class Usat16(AbstractOpcode): def __init__(self, saturate_to, d, n): super(Usat16, self).__init__() self.saturate_to = saturate_to self.d = d self.n =...
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def test_passed(): assert True def test_read_params(config, param): assert config.get(param) == 2 def test_do_nothing(): pass
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import argparse import torch from torch import nn import numpy as np from tqdm import tqdm import pdb import os import csv from glob import glob import math from torchvision import transforms from torch.nn import functional as F from matplotlib import pyplot as plt import sys sys.path.append('../retrieval_model') from...
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from abc import ABCMeta, abstractmethod import json from typing import Any, IO, Optional, Sequence, cast from pytest_wdl.core import DataDirs, DataManager, DataResolver from pytest_wdl.utils import ensure_path from py.path import local import pytest from _pytest.fixtures import FixtureRequest try: from ruamel im...
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import datetime from sqlalchemy import Enum from sqlalchemy import Column from sqlalchemy import String from sqlalchemy import Integer from sqlalchemy import Boolean from sqlalchemy import DateTime from sqlalchemy import ForeignKey from sqlalchemy.orm import backref from sqlalchemy.orm import relationship from sqlalc...
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import torch from moment_detr.model import build_transformer, build_position_encoding, MomentDETR def build_inference_model(ckpt_path, **kwargs): ckpt = torch.load(ckpt_path, map_location="cpu") args = ckpt["opt"] if len(kwargs) > 0: # used to overwrite default args args.update(kwargs) transf...
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from collections.abc import Mapping, Iterable from typing import Iterable as IterableType from jsons._compatibility_impl import get_naked_class from jsons.deserializers.default_list import default_list_deserializer def default_iterable_deserializer( obj: list, cls: type, **kwargs) -> Iterable...
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import pandas as pd import os from .. import constants as c def get_short_imagename(imagename): """Return image-specific suffix of imagename. This excludes a possible experiment-specific prefix, such as 0001_... for trial #1. """ splits = imagename.split("_") if len(splits) > 1: nam...
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import pandas as pd import os from helpers import * def main(): sim_threshold = 100 prefix = '/home/cragkhit/data/cloverflow/github_max_to_10/' dir = '../results/results_for_thesis/' clones = pd.read_csv( '../results/results_for_thesis/github_license_qr_17-08-18_16-46-780_for_github_query.csv'...
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import argparse import os, sys import numpy as np from scipy.ndimage import rotate from tqdm import tqdm def rotate_gt(args, categories_dict, scannet_shape_ids, angles): for category in categories_dict: cat_path = categories_dict[category] + '_geo' cat_save_path = os.path.join(args.data_dir, cat...
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import io import re from itertools import chain import fbuild import fbuild.builders import fbuild.builders.c import fbuild.builders.platform import fbuild.db import fbuild.record from fbuild.path import Path from fbuild.temp import tempfile # --------------------------------------------------------------------------...
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def do_stuff(): print('stuff') def do_other_stuff(): print('other stuff') def branching(some_condition): if some_condition is True: do_stuff() do_other_stuff()
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from .Euler_Scheme import EulerScheme import taichi as ti import numpy as np # ref IVOCK 2014, Dr <NAME> .etal # need help on stretch and stream function(velocity from vorticity) @ti.data_oriented class IVOCK_EulerScheme(EulerScheme): def __init__(self, cfg): super().__init__(cfg) def advect(self, d...
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import numpy as np import matplotlib.pyplot as plt logistic = False samples = [[0.47,1],[0.24,1],[0.75,1],[0.00,1],[-0.80,1],[-0.59,1],[1.09,1],[1.34,1], [1.01,1],[-1.02,1],[0.50,1],[0.64,1],[-1.15,1],[-1.68,1],[-2.21,1],[-0.52,1], [3.93,1],[4.21,1],[5.18,1],[4.20,1],[4.57,1],[2.63,1],[4.52,1],[3...
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def main(): info('Waiting for minibone access') wait('JanMiniboneFlag', 0) info('Minibone released') wait('MinibonePumpTimeFlag', 0) acquire('FelixMiniboneFlag', clear=True) info('minibone acquired')
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from .mod import mod from ..db import get_watches_bi_user_id as _get_watches_bi_user_id from ..ut.bunch import Bunch def get_watches_bi_user_id(conn, user_id, offset=None, limit=None): return [transform(w) for w in _get_watches_bi_user_id( conn, user_id, offset=offset, limit=limit ...
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from math import * from NodeGeneratorBase import * from Spheral import Vector3d, Tensor3d, SymTensor3d, Plane3d, rotationMatrix from SpheralTestUtilities import * import mpi procID = mpi.rank nProcs = mpi.procs #------------------------------------------------------------------------------- # The sign function #----...
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import enum as _enum import string as _string from typing import Any from . import auth as _auth from . import helper as _helper from . import url as _url import requests class Method(_enum.Enum): GET = "GET" POST = "POST" PUT = "PUT" DELETE = "DELETE" def request( request_method: Method, uri: str...
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import argparse def parse(args): parser = argparse.ArgumentParser() parser.add_argument( "--debug", action="store_true", default=False, help="Enable debug logging" ) parser.add_argument("--xml") parser.add_argument( "--module", action="store_true", default=False, help="Trace a m...
434746
from .svg_parser_utils import * import OpenGL.GL as gl import math EPSILON = 0.001 class vec2(object): def __init__(self, *args): if isinstance(args[0], vec2): self.x = args[0].x self.y = args[0].y elif isinstance(args[0], list): self.x, self.y = args[0] ...
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import collections class Solution(object): def removeDuplicateLetters(self, s): """ :type s: str :rtype: str """ count_map = collections.Counter(s) stack = [] for c in s: if len(stack) == 0: stack.append(c) count_ma...
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import elbus_async import asyncio async def main(): name = 'test.client.python.async_sender' bus = elbus_async.client.Client('/tmp/elbus.sock', name) await bus.connect() # send a regular message result = await bus.send('test.client.python.async', elbus_async.client.Fram...
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from __future__ import division, print_function import argparse import pickle as pkl import h5py import glob import os from tqdm import tqdm def main(args): print(args) compression_flags = dict(compression='gzip', compression_opts=9) filenames = glob.glob(os.path.join(args.features_folder, '*.pkl')) ...
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from About import * from Args import * from DemoSet import * from DemoSplash import * from geoparse import * from MainDisplay import * from MainMenu import *
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from getpass import getpass import os import click from flask.cli import FlaskGroup import lxml.etree from passlib.apache import HtpasswdFile from tqdm import tqdm from .flask import app from . import models, tasks from . import views, twilio # noqa: F401 @click.group(cls=FlaskGroup, create_app=lambda *args, **kwa...
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from __future__ import print_function import argparse import sys import traceback from botocore.exceptions import ClientError from ridi.secret_keeper.connect import tell def run(arguments): description = """ Retrieve and print secrets from `secret-keeper`. You need to configure AWS credentials by enviro...
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def dedupe_and_sort(sequence, first=None, last=None): """ De-dupe and partially sort a sequence. The `first` argument should contain all the items that might appear in `sequence` and for which the order (relative to each other) is important. The `last` argument is the same, but matching items will...
435010
from starflyer import Handler, redirect, asjson from camper import BaseForm, db, BaseHandler from camper import logged_in, is_admin, ensure_barcamp from .base import BarcampBaseHandler import werkzeug.exceptions ALLOWED_CHECKS = [ 'has_event', 'has_sponsor', 'has_hashtag', 'has_twitter', 'has_faceb...
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from boto.swf.exceptions import SWFResponseError from botocore.exceptions import ClientError from freezegun import freeze_time import sure # noqa # pylint: disable=unused-import from unittest import SkipTest import pytest from moto import mock_swf, mock_swf_deprecated from moto import settings from moto.swf import sw...
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import sys sys.path.append("./") import examples as ex import pytest import pyinspect as pi def test_examples(): pi.search(ex) # runs all of them
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def decimal_to_binary(n): if n > 1: decimal_to_binary(n//2) print(n % 2, end = '') try: decimal_to_binary(int(input("Enter an Integer to Covert into Binary: "))) except ValueError: print("Input is not an integer.") print()
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from __future__ import print_function from coverage import coverage cov = coverage(source=('doubles',)) cov.start() pytest_plugins = ['doubles.pytest_plugin'] def pytest_sessionfinish(session, exitstatus): cov.stop() cov.save() def pytest_terminal_summary(terminalreporter): print("\nCoverage report:\...
435133
from database import db from flask import Flask from yelp_beans.logic.config import get_config def create_app(): app = Flask(__name__, template_folder='yelp_beans/templates') app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False app.config['SQLALCHEMY_DATABASE_URI'] = get_config().get('DATABASE_URL_PROD', ...
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from modules import DNSListener from modules import AgentControllerCLI import threading banner = """ ____ _ _______ ____ _ __ / __ \/ | / / ___/ / __ \___ __________(_)____/ /_ / / / / |/ /\__ \______/ /_/ / _ \/ ___/ ___/ / ___/ __/ / /_/ / /| /___/ /_____/ ____/ __...
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from abc import abstractmethod import math import generator import magma import mantle from from_magma import FromMagma from configurable import Configurable, ConfigurationType from const import Const class FeatureGenerator(Configurable): def __init__(self): super().__init__() class CoreGenerator(Featur...
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from networkx import DiGraph, disjoint_union # type: ignore from veniq.ast_framework import AST, ASTNodeType from typing import Tuple NODE_TYPES = [ ASTNodeType.ASSIGNMENT, ASTNodeType.RETURN_STATEMENT ] def build_cfg(tree: AST) -> DiGraph: '''Create Control Flow Graph''' g = DiGraph() g.add_no...
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import _kratos import sqlite3 import tempfile import os import json from kratos import Generator, Event, always_comb, always_ff, posedge, Transaction, verilog def test_event_extraction(): mod = Generator("mod") event = Event("test1/event1") event_ff = Event("test1/event2") t = Transaction("test") ...
435180
from ckan_cloud_operator.providers import manager as providers_manager from .constants import PROVIDER_SUBMODULE from .adminer.constants import PROVIDER_ID as adminer_provider_id def initialize(): get_provider(default=adminer_provider_id).initialize() def start(): """Start a web-UI for db management""" ...
435181
from opytimizer.optimizers.population import OSA # One should declare a hyperparameters object based # on the desired algorithm that will be used params = { 'beta': 1.9 } # Creates an OSA optimizer o = OSA(params=params)
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import os from spira.technologies.mit.process import RDD import spira.all as spira import spira.yevon.io.input_gdsii as io from copy import copy, deepcopy def wrap_references(cell, c2dmap, devices): """ """ for e in cell.elements.sref: if e.reference in c2dmap.keys(): e.reference = c2dmap...
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from distutils.core import setup setup( name='influx-nagios-plugin', version="1.1.0", packages=['src'], install_requires=['influxdb', 'NagAconda'], license='MIT', url="https://github.com/shaharke/nagios-influx-plugin.git", description='Nagios plugin for querying stats from InfluxDB', a...
435264
import math import pytest from skspatial._functions import _allclose from skspatial.objects import Line from skspatial.objects import Plane from skspatial.objects import Points @pytest.mark.parametrize( ("array_point", "array_a", "array_b", "plane_expected"), [ ([0, 0], [1, 0], [0, 1], Plane([0, 0, ...
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import pytest from impl import type_of_triangle @pytest.mark.parametrize("x", range(1, 10)) def test_equilateral(x): ret = type_of_triangle(x, x, x) assert ret == "equilateral" @pytest.mark.parametrize("x", range(1, 10)) @pytest.mark.parametrize("y", range(1, 10)) def test_isoceles(x, y): if y >= x + x or...
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from ...utils import needs_py310 @needs_py310 def test_app(): from docs_src.app_testing.app_b_py310 import test_main test_main.test_create_existing_item() test_main.test_create_item() test_main.test_create_item_bad_token() test_main.test_read_inexistent_item() test_main.test_read_item() t...
435334
from __future__ import print_function, division from collections import OrderedDict from abc import ABCMeta from six import text_type from six import binary_type from torch import nn from torch.nn import init CONTAINER_NAMES = ( 'module.', 'segnet.', 'resnet.', 'encoder.', 'decoder.', 'clas...
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import sys, cv2, time, os from UI import Ui_TabWidget from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtWidgets import QFileDialog,QTabWidget from PyQt5.QtCore import QTimer, QThread, pyqtSignal, Qt from PyQt5.QtGui import QPixmap, QImage from PyQt5.QtWidgets import QLabel,QWidget, QProgressBar from py_util impor...
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def test_augassign(): r: i32 s: i32 r = 0 r += 4 s = 5 r *= s r -= 2 s = 10 r /= s a: str a = "" a += "test"
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import typing import pytest from nonebug.app import App @pytest.mark.asyncio @pytest.mark.render async def test_render(app: App): from nonebot_bison.plugin_config import plugin_config from nonebot_bison.utils import parse_text plugin_config.bison_use_pic = True res = await parse_text( """a\...
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import os import sys from argparse import ArgumentParser from windowsprefetch import Prefetch # Note: This wrapper script is a work in progress, and needs to be refined. # todo: robust error handling and notifications, built into result output. # todo: error-handling based on file content, not just file extension d...
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import os import sys import time import signal import click import json @click.group() def cli(): pass @cli.command() @click.option('-m', type=str) def stdio(m): print(m) @cli.command() @click.option('-m', type=str) @click.option('-p', default='/mnt/girder_worker/data/output_pipe', type=click.File('w')) d...
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import sys sys.path = ["."] + sys.path from petlib.ec import EcGroup from petlib.bn import Bn from hashlib import sha256 import math ## ###################################################### ## An implementation of the ring signature scheme in ## ## <NAME> and <NAME>. "One-out-of-Many Proofs: ## Or How to Le...
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from ..core import ProteinLigandDatasetProvider class KinomeScanDatasetProvider(ProteinLigandDatasetProvider): pass
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def parse(a): a = a.split("\n") a = [x+", " for x in a] a = [''.join(a[i:i+6])+"\n" for i in range(0, len(a), 6)] print(''.join(a))
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from fastapi import Depends from sqlalchemy.orm import Session from utils.logger import Logger from utils.db_connection import get_db_session from schema.sample_object import SampleObject as SampleObjectSchema from model.sample_object import SampleObject as SampleObjectModel logger = Logger.get_logger(__name__) clas...
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import sys import random import copy #reload(sys) #sys.setdefaultencoding="utf-8" if (len(sys.argv)<3): print("no enough parameter") exit() hownet_filename = sys.argv[1] embedding_filename = sys.argv[2] answer_filename = hownet_filename+"_answer" test_filename = hownet_filename+"_test" with open(hownet_filename...
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import collections class netlistspec(collections.namedtuple( "netlistspec", "vertices, load_function, before_simulation_function, " "after_simulation_function, constraints")): """Specification of how an operator should be added to a netlist.""" def __new__(cls, vertices, load_fu...
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import torch import torch.nn.functional as F from ..base_loss import BaseLoss class CrossEntropyLoss(BaseLoss): """ paper: `Momentum Contrast for Unsupervised Visual Representation Learning <http://openaccess.thecvf.com/content_CVPR_2020/html/He_Momentum_Contrast_for_Unsupervised_Visual_Representation_Learnin...
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def convert_bytes(byte): units = ['B', 'KiB', 'MiB', 'GiB', 'TiB', 'PiB', 'EiB', 'ZiB' 'YiB', 'BiB', 'NiB', 'DiB', 'CiB'] for x in units: if divmod(byte, 1024)[0] == 0: break else: byte /= 1024 return ('%.2lf%s' % (byte, x))
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import django import logging # from nltk import word_tokenize import os # import re from slacker import Slacker from sutime import SUTime import tweepy from tweepy.api import API from slack_msg import send_slack_message # need to point Django at the right settings to access pieces of app os.environ["DJANGO_SETTINGS_MO...
435907
from terra_sdk.core.coins import Coins from ._base import BaseAsyncAPI, sync_bind __all__ = ["AsyncSupplyAPI", "SupplyAPI"] class AsyncSupplyAPI(BaseAsyncAPI): async def total(self) -> Coins: """Fetches the current total supply of all tokens. Returns: Coins: total supply """...
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import asyncio import time import asynctnt import logging logging.basicConfig(level=logging.DEBUG) async def run(): conn = asynctnt.Connection(host='127.0.0.1', port=3305) begin = time.time() n = 1000 for i in range(n): await conn.connect() await conn.disconnect() dt = time.time...
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import pytest from ocs_ci.framework.pytest_customization.marks import tier1 @tier1 @pytest.mark.last class TestFailurePropagator: """ Test class for failure propagator test case. The test intention is to run last and propagate teardown failures caught during the test execution, so regular test cases won'...
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import os import ssl import unittest from mock import MagicMock, patch, call from kafka.tools.configuration import ClientConfiguration, eval_boolean, check_file_access from kafka.tools.exceptions import ConfigurationError class ConfigurationTests(unittest.TestCase): def test_eval_boolean(self): assert ev...
435947
import fields import debug import csv import os import sys import datetime def writer(vulns, **params): csvfile = params['fobj'] debug.write('.') for vuln in vulns: csvfile.writerow([vuln['name'], vuln['count']]) def gen_csv(sc, filename): '''csv SecurityCenterObj, EmailAddress ''' ...
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from torch import nn import torch.nn.init as init import numpy as np def gaussian_weights_init(m): classname = m.__class__.__name__ # print(classname) if classname.find('Conv') != -1: m.weight.data.normal_(0.0, 0.02) def xavier_weights_init(m): classname = m.__class__.__name__ # print(cl...
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from django.conf.urls import url import twofa.views app_name = "twofa" urlpatterns = [ url(r"^verify/$", twofa.views.verify, name="verify"), url(r"^verify/(?P<device_id>[0-9]+)/$", twofa.views.verify, name="verify"), url(r"^setup/totp/$", twofa.views.setup_totp, name="setup-totp"), url(r"^setup/backu...
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from typing import Callable, Tuple import flax.linen as nn import jax.numpy as jnp from .weightnorm import constant class PosDense(nn.Module): """Dense-layer with positive weights """ channels: int use_bias: bool = True kernel_init: Callable = nn.initializers.lecun_normal() bias_init: Callab...
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from django.contrib.auth import get_user_model from django.contrib.auth.password_validation import password_validators_help_texts from django.utils.translation import gettext_lazy as _ from rest_framework import serializers from bananas.admin.api.schemas import schema_serializer_method class UserSerializer(serialize...
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import ray from tqdm import tqdm class Pool: def __init__(self, actors): """ actors: list of ray actor handles """ self.actors = actors assert len(self.actors) > 0 def map(self, exec_fn, iterable, callback_fn=None, desc=None, pbar_up...
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import pytest from fastapi import Depends from fastapi_jsonrpc import get_jsonrpc_request_id @pytest.fixture def probe(ep): @ep.method() def probe( jsonrpc_request_id: int = Depends(get_jsonrpc_request_id), ) -> int: return jsonrpc_request_id return ep def test_basic(probe, json_req...
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import torch import text2text as t2t from transformers import AutoModelForQuestionAnswering, AutoTokenizer class Answerer(t2t.Transformer): pretrained_answerer = "valhalla/longformer-base-4096-finetuned-squadv1" def __init__(self, **kwargs): pretrained_answerer = kwargs.get('pretrained_answerer') if not ...