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import re import sys sys.path.append('../../common') from env_indigo import * indigo = Indigo() indigo.setOption("ignore-stereochemistry-errors", True) indigo.setOption("molfile-saving-skip-date", True) def reducePrecision(str_data): # Remove last digit because of float-point rounding differences between Windows ...
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from __future__ import print_function from random import shuffle import os import argparse import pickle from get_image_paths import get_image_paths from get_tiny_images import get_tiny_images from build_vocabulary import build_vocabulary from get_bags_of_sifts import get_bags_of_sifts from visualize import visualize ...
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import pytest from flask_unchained.constants import DEV from flask_unchained.unchained import Unchained from ._bundles.empty_bundle import EmptyBundle from ._bundles.myapp import MyAppBundle from ._bundles.vendor_bundle import VendorBundle, awesome class FakeApp: def add_url_rule(self, rule, endpoint=None, view...
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from django.apps import apps from django.conf import settings from django.conf.urls import url from django.utils.safestring import mark_safe from wagtail.admin.site_summary import SiteSummaryPanel from wagtail.core import hooks from .views import QuickCreateView class QuickCreatePanel: order = 50 def rende...
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from .base import BaseDistribution, DiagGaussian, ClassCondDiagGaussian, \ GlowBase, AffineGaussian, GaussianMixture, GaussianPCA from .target import Target, TwoMoons, CircularGaussianMixture, RingMixture from .encoder import BaseEncoder, Dirac, Uniform, NNDiagGaussian from .decoder import BaseDecoder, NNDiagGauss...
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import functools import os import pytest import testinfra if os.environ.get('KITCHEN_USERNAME') == 'vagrant': if 'windows' in os.environ.get('KITCHEN_INSTANCE'): test_host = testinfra.get_host('winrm://{KITCHEN_USERNAME}:{KITCHEN_PASSWORD}@{KITCHEN_HOSTNAME}:{KITCHEN_PORT}'.format(**os.environ), no_ssl=Tru...
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import json import asyncpg __all__ = ['create_pool'] async def _set_codec(con): await con.set_type_codec( 'jsonb', schema='pg_catalog', encoder=json.dumps, decoder=json.loads, format='text' ) async def _create_pool(*, init=None, **kwargs): if not init: a...
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import sys, os; sys.path.insert(0, os.path.abspath('..')) # Read the Docs needs this bit to import Hyrule. html_title = 'The Hyrule manual' extensions = [ 'sphinx.ext.napoleon', 'sphinx.ext.autodoc', 'sphinx.ext.intersphinx', 'sphinxcontrib.hydomain'] exclude_patterns = ['_build'] smartquotes = Fa...
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import importlib from utils.hparams import set_hparams, hparams def run_task(): assert hparams['task_cls'] != '' pkg = ".".join(hparams["task_cls"].split(".")[:-1]) cls_name = hparams["task_cls"].split(".")[-1] task_cls = getattr(importlib.import_module(pkg), cls_name) task_cls.start() if __name...
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import json import networkx as nx class JsonImportMixin: """Json import/export mixin for DnaSupplier.""" @classmethod def from_json_data(cls, json_file=None, data=None, dna_suppliers_dict="default"): """ Returns ------- levels, suppliers_dict, main_id. """ ...
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def train_PixelLink(config_file): import sys sys.path.append('./detection_model/PixelLink') import net import numpy as np import torch import torch.nn as nn import datasets from torch import optim from criterion import PixelLinkLoss import loss import config import post...
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import warnings import numpy as np import graphgallery as gg import scipy.sparse as sp from typing import Optional from .shape import maybe_shape, maybe_num_nodes from ..functions import get_length __all__ = ['remove_self_loops_edge', 'add_selfloops_edge', 'segregate_self_loops_edge', ...
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import matplotlib.pyplot as plt import warnings from trackintel.visualization.osm import plot_osm_streets from trackintel.visualization.util import regular_figure, save_fig from trackintel.geogr.distances import check_gdf_planar def plot_positionfixes(positionfixes, out_filename=None, plot_osm=False, axis=None): ...
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import json from tvm.tensor_graph.nn.functional import cross_entropy from tvm.tensor_graph.testing.datasets import load_mnist_dataset from tvm.tensor_graph.testing.learners.image_classification_learner import ImageClassificationLearner from tvm.tensor_graph.testing.models import LeNet def pprint_dict(d): return ...
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import functools import inspect import os import random import subprocess from datetime import datetime from io import StringIO import dj_database_url from dulwich import porcelain from fabric import task from fabric.connection import Connection from invoke import Exit from invoke.exceptions import UnexpectedExit ENV...
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import unittest from unittest.mock import patch, MagicMock, call from botocore.exceptions import ClientError from examples.examples import (extract_example, extract_to_kwargs_example, extract_mandatory_param_example, extract_from_json_example, extract_from_event_example, extract_from_cont...
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import warnings from cynergy import container warnings.simplefilter("ignore", UserWarning) class Example(object): pass class Example2(object): pass def setup(): container.initialize() def test_class_mapping(): container.initialize() container.register_class(Example, Example2) instanc...
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import os import sys sys.path.append(os.path.join(os.getcwd().split('xtraderbacktest')[0],'xtraderbacktest')) import modules.other.logg import logging import modules.other.sys_conf_loader as sys_conf_loader import time import datetime import pandas as pd all_products_info = sys_conf_loader.get_all_products_info() cl...
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from __future__ import absolute_import import celery import os import os.path import sys # Add the project to the python path sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir)) # Configure the application only if it seemingly isnt already configured from django.conf import settings if not setting...
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import subprocess from openpype.lib import PreLaunchHook class LaunchFoundryAppsWindows(PreLaunchHook): """Foundry applications have specific way how to launch them. Nuke is executed "like" python process so it is required to pass `CREATE_NEW_CONSOLE` flag on windows to trigger creation of new console. ...
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from os import path from pathlib import Path from subprocess import run from colorama import Fore, Back, Style class Options(): def get(self): DIR = path.dirname(path.realpath(__file__)) custom_options_path = path.expanduser("~") + "/.ggo-options.dat" options_path = f"{DIR}/ggo-options.dat"...
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import json from urllib3_mock import Responses from alteia.core.errors import QueryError from alteia.core.resources.resource import Resource from tests.core.resource_test_base import ResourcesTestBase responses = Responses() class TestProjects(ResourcesTestBase): @responses.activate def test_create(self):...
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from setuptools import setup from torch.utils.cpp_extension import CppExtension, BuildExtension setup(name='cpp_extension', ext_modules=[CppExtension('cpp_extension', ['extension.cpp'])], cmdclass={'build_ext': BuildExtension})
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from pathlib import Path from typing import Any, Union import dask.array as da import numpy as np ArrayLike = Union[np.ndarray, da.Array] DType = Any NDArray = Any PathType = Union[str, Path] RandomStateType = Union[np.random.RandomState, da.random.RandomState, int]
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import logging import re import pytest from ixmp import Scenario from ixmp.model.base import Model, ModelError from ixmp.model.dantzig import DantzigModel from ixmp.model.gams import gams_version from ixmp.testing import assert_logs, make_dantzig def test_base_model(): # An incomplete Backend subclass can't be ...
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import firenado.tornadoweb class App1IndexHandler(firenado.tornadoweb.TornadoHandler): def get(self): self.write("App1 IndexHandler output") class App2IndexHandler(firenado.tornadoweb.TornadoHandler): def get(self): self.write("App2 IndexHandler output")
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import os import sys current_path = os.path.dirname(os.path.realpath(__file__)) root_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) sys.path.append(root_path) import time import json import random import numpy as np import torch from flownmt.data import NMTDataSet, DataIterator from flownmt imp...
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import random import torch as ch from torch.utils.data import Dataset, DataLoader from sklearn.model_selection import train_test_split def gen_data(x, y, n=5, std=0.1, xnoise=False): x = ch.cat([x] * n) y = ch.cat([y] * n) y += std * ch.randn_like(y) if xnoise: x += std * ch.randn_like(x) ...
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from __future__ import division from xfel.merging.application.publish.publisher import publisher from xfel.merging.application.worker import factory as factory_base class factory(factory_base): @staticmethod def from_parameters(params, additional_info=None, mpi_helper=None, mpi_logger=None): return [publisher(...
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import unittest from ..usb.endpoint import * class InputEndpointTestCase(unittest.TestCase): def test_simple(self): ep = InputEndpoint(xfer=Transfer.CONTROL, max_size=64) self.assertEqual(ep.xfer, Transfer.CONTROL) self.assertEqual(ep.max_size, 64) def test_wrong_xfer(self): ...
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import numpy as np from wellcomeml.ml import BertClassifier X = ["Hot and cold", "Hot", "Cold"] Y = np.array([[1, 1], [1, 0], [0, 1]]) bert = BertClassifier(batch_size=8) bert.fit(X, Y) print(bert.score(X, Y))
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import requests # 功能:获取对应网址的网页 class HtmlDownloader(object): def download(self, url): if url is None: return None headers_pc = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36', 'A...
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import pytest pytestmark = pytest.mark.asyncio @pytest.mark.integtest async def test_hello_world(test_client): resp = await test_client.get("/") assert resp.status_code == 200 async def test_world(): assert True
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import FWCore.ParameterSet.Config as cms from DQMOffline.PFTau.PFJetResDQMAnalyzer_cfi import pfJetResDQMAnalyzer pfJetResValidation1 = pfJetResDQMAnalyzer.clone( InputCollection = 'ak4PFJets', # for global Validation MatchCollection = 'ak4GenJets', # for global Validatio BenchmarkLabel = 'PFJetResValida...
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from handofcats import as_command import pathlib @as_command def run(dirpath: str) -> None: import re rx = re.compile("^[0-9]+") print("CANDIDATES = [") for p in pathlib.Path(dirpath).glob("*.py"): m = rx.search(p.name) if m is None: continue print( f' ...
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from crate.theme.rtd.conf.python import * if "sphinx.ext.intersphinx" not in extensions: extensions += ["sphinx.ext.intersphinx"] if "intersphinx_mapping" not in globals(): intersphinx_mapping = {} intersphinx_mapping.update({ 'reference': ('https://crate.io/docs/crate/reference/en/latest/', None), ...
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from __future__ import print_function, unicode_literals, absolute_import, division from six.moves import range, zip, map, reduce, filter from ..utils import _raise, backend_channels_last import numpy as np from ..utils.tf import keras_import K = keras_import('backend') def _mean_or_not(mean): # return (lambda ...
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import numpy as np import cv2 class BackGroundSubtractor: # When constructing background subtractor, we # take in two arguments: # 1) alpha: The background learning factor, its value should # be between 0 and 1. The higher the value, the more quickly # your program learns the changes in the background. Therefore...
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import sys import argparse from progressbar import Bar, ETA, Percentage, ProgressBar from keras.models import model_from_json from spacy.en import English import numpy as np import scipy.io from sklearn.externals import joblib from features import get_questions_matrix_sum, get_images_matrix, get_answers_matrix fr...
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import io import logging from typing import Any, Dict, Iterator, Optional from redis import StrictRedis from plz.controller.containers import Containers from plz.controller.images import Images from plz.controller.instances.docker import DockerInstance from plz.controller.instances.instance_base \ import Instance...
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from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker, scoped_session import os import threading import asyncio from sqlalchemy import Column, Integer, Boolean, String, ForeignKey, UniqueConstraint, func from ..config import Config de...
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import unittest import pytest from twitter.common.process.process_handle import ProcessHandleParser class TestHandleParser(unittest.TestCase): @classmethod def setup_class(cls): cls.attrs = "first last year_of_birth day_of_birth".split() cls.type_map = { 'first': '%s', 'last': '%s', 'year...
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import unittest from test import string_tests from collections import UserString class UserStringTest(string_tests.CommonTest, string_tests. MixinStrUnicodeUserStringTest, unittest.TestCase): type2test = UserString def checkequal(self, result, object, methodname, *args, **kwargs): result = self.f...
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import math import numpy as np def add_border(img, border_thickness, border_color): imheight, imwidth = img.shape[:2] framed_img = np.ones( ( imheight + 2 * border_thickness, imwidth + 2 * border_thickness, img.shape[2] ), dtype=np.uint8 ) * bor...
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spacing_test_text_001 = ''' def function(): return 1 ''' spacing_test_text_002 = ''' def function(): return 1 ''' spacing_test_text_003 = ''' def function(): arg = 1 return 1 ''' spacing_test_text_004 = ''' def function(): arg = 1 return 1 ''' spacing_test_text_005 = ''' def function(): ar...
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import unittest from unittest.mock import patch import pytest import fs.path from moban.deprecated import GitRequire from moban.exceptions import NoGitCommand from moban.deprecated.repo import ( git_clone, get_repo_name, get_moban_home, make_sure_git_is_available, ) @patch("appdirs.user_cache_dir", ...
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from icevision.visualize.utils import * from icevision.visualize.draw_data import * from icevision.visualize.show_data import * from icevision.visualize.wandb_img import *
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import dearpygui.dearpygui as dpg import musicplayer.musicplayer as musicplayer def setup(first_song): return musicplayer.Player(first_song) def mp_interface(sender, data, user_data): """mp_interface provides an interface between the GUI callbacks and the musicplayer object. It enables updating of the G...
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import six from ...cereal import serializable from ..core import assert_is_proxytype from .dict_ import BaseDict @serializable() class KnownDict(BaseDict): """ ``KnownDict[<{key: KnownType, ...}>, KeyType, ValueType]``: Proxy mapping from specific keys to specific value types, with default type for unkno...
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import os import pytest import pandas as pd from ..data import (limit_rows, MaxRowsError, sample, pipe, to_values, to_json, to_csv) def _create_dataframe(N): data = pd.DataFrame({"x": range(N), "y": range(N)}) return data def _create_data_with_values(N): data = {'values': [{'x': i...
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import os # set these variables according to your experiments # dirpath = 'data' experiments_type = [ 'default_experiment' ] runs = 1 # set these variables according to your experiments # def build_headers(path): print(path + "/all_measures.txt") file_summary = open(p...
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import aiohttp import hashlib import packaging.requirements import packaging.tags import packaging.utils import packaging.version import pathlib import sys from hat import util Environment = util.namedtuple('Environment', ['pypi_url', 'str'], ['python_versi...
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import tak def parse_tps(tps): bits = tps.split(' ') if len(bits) != 3: raise IllegalTPS("need three components") board, who, move = bits if not who in '12': raise IllegalTPS("Current player must be either 1 or 2") try: ply = 2 * (int(move)-1) + int(who)-1 except ValueError: raise IllegalT...
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import ctypes import Image from PIL import ImageDraw from pi3d.constants import * from pi3d.Texture import Texture # Text and fonts # TODO TEXTURES NEED CLEANING UP class Font(Texture): def __init__(self, font, color="#ffffff"): """ A method of writing in pi3d using 'hand designed' fonts, where the top ...
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import shapely.wkb, shapely.geometry import osgeo.ogr import sys, os.path def read_with_ogr (filename, fatal_errors=True): """Read features out of a shapefile and yield a tuple of (geometry, attrs) for each feature.""" source = osgeo.ogr.Open(filename, False) layer = source.GetLayer(0) defn = l...
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import invoke import os from . import jobs, machines import shutil import psutil import tarfile from subprocess import Popen, check_output from pathlib import Path from dataclasses import dataclass, field from typing import Dict, List, Optional from shlex import quote #TODO: Is there a way to just not create zombies i...
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import os import requests import sys OFO_URL = 'http://ofo-global.open.ofo.com/api/bike' OFO_DATA = { 'token': '<PASSWORD>', 'name': 'Washington', 'lat': 38.894432, 'lng': -77.013655, } resp = requests.post( OFO_URL, data=OFO_DATA, ) print(len(resp.json()['values']['cars'])) #333 available...
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import metadrive.register from metadrive.envs import MetaDriveEnv, TopDownMetaDrive, TopDownSingleFrameMetaDriveEnv, TopDownMetaDriveEnvV2, \ SafeMetaDriveEnv, MultiAgentRoundaboutEnv, MultiAgentIntersectionEnv, MultiAgentParkingLotEnv, \ MultiAgentTollgateEnv, MultiAgentBottleneckEnv, MultiAgentMetaDrive
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import logging import os import sys from pathlib import Path from typing import Tuple import pytest import torch from ride.core import RideModule from ride.finetune import Finetunable from ride.optimizers import AdamWOneCycleOptimizer from ride.utils.checkpoints import get_latest_checkpoint from ride.utils.io import ...
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from KratosMultiphysics import * from KratosMultiphysics.DamApplication import * def Factory(settings, Model): if not isinstance(settings, Parameters): raise Exception("expected input shall be a Parameters object, encapsulating a json string") return ImposeTemperaturebyDeviceProcess(Model, settings["P...
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import datetime import unittest from twilio.base import serialize, values class Iso8601DateTestCase(unittest.TestCase): def test_unset(self): value = values.unset actual = serialize.iso8601_date(value) self.assertEqual(values.unset, actual) def test_datetime(self): value = d...
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import itertools import numpy as np import gym def generate_itoa_dict( bucket_values=[-0.33, 0, 0.33], valid_movement_direction=[1, 1, 1, 1]): """ Set cartesian product to generate action combination spaces for the fetch environments valid_movement_direction: To set """ action_spac...
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from asyncio import sleep from random import choice, getrandbits, randint from re import sub from covid import Covid covid = Covid(source="worldometers") from datetime import datetime from ub import CMD_HELP from telethon import events import asyncio import io from random import randint, uniform from PIL import Image, ...
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import traceback import logging import pkg_resources from sqlalchemy.exc import SQLAlchemyError from dispatch.plugins.base import plugins, register logger = logging.getLogger(__name__) # Plugin endpoints should determine authentication # TODO allow them to specify (kglisson) def install_plugin_events(api): """...
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import numpy as np def duplicate_soft_assignment(fname_template_soft_assignment, threshold=0.7, units_in=None): # load soft assignment tmp = np.load(fname_template_soft_assignment) probs_all = tmp['probs_templates'] units_all = tmp['units_assignment'] # number of uni...
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from collections import namedtuple User = namedtuple('User', ['username', 'password', 'permissions']) user_map = { user.username: user for user in [ User('devin', 'password', ('public',)), User('jack', 'password', ('public', 'protected',)), ] }
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import re from git_analysis.analyze_git_logs import commit_id_line_pattern from config import conf from git_analysis.git_stats.git_numstat import GitNumStat from git_analysis.git_stats.git_numstat import RawGitNumStat merge_commit_id_line_pattern = re.compile('[0-9a-f]{40}') def load_numstat_lines(project, is_merge...
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from collections import abc from enum import Enum from operator import attrgetter from typing import Dict, Iterable, List, Tuple, Union import matplotlib.pyplot as plt import numpy as np import seaborn as sns import torch from matplotlib.figure import Figure from ptflops import get_model_complexity_info from supers im...
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from sqlalchemy import Column, Integer, String from Agent import Base, Session import jwt, datetime, os class Offer(Base): """description of class""" __tablename__ = 'agent_offers' Id = Column(Integer, primary_key = True) OfferId = Column(String) OfferName = Column(String) PublisherId ...
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import numpy np_random = numpy.random.RandomState() def seed(seed=None): """Seed the common numpy.random.RandomState used in spaces CF https://github.com/openai/gym/commit/58e6aa95e5af2c738557431f812abb81c505a7cf#commitcomment-17669277 for some details about why we seed the spaces separately from the...
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from helpers.time_utils import days import json import brownie import pytest from brownie import * from helpers.constants import * from helpers.registry import registry from helpers.registry.artifacts import artifacts from collections import namedtuple with open("merkle/badger-bouncer.json") as f: yearnDistributio...
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class EggHunter: def __init__(self, shellcode, egg): self.__shellcode = shellcode; self.__egg = egg; def generate(self): return self.__egg+self.__egg+self.__shellcode def hunter_code(self): return "\\x31\\xc9\\xf7\\xe1\\x66\\x81\\xca\\xff\\x0f\\x42\\x8d\\x5a\\x04\\x31\\xc0\\xb0\\x21\\xcd\\x80\\x...
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import sys import traceback import event import types from eventlet.support import greenlets as greenlet import six from eventlet.hubs.hub import BaseHub, READ, WRITE class event_wrapper(object): def __init__(self, impl=None, seconds=None): self.impl = impl self.seconds = seconds def __repr...
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class Solution(object): def isMatch(self, s, p): """ :type s: str :type p: str :rtype: bool """ # build a list of tuples (char, number) patterns = [] i = 0 while i<len(p): if p[i]==".": _id = "dot" else: ...
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import math #output frequency a = [161,168,167,92,123] f = 50 #input freq print a for i in a: m = 1000/f d = 0 while True: new_d = math.floor(4*f*m/i)/4 new_m = math.ceil(4*new_d*i/f)/4 if new_m ==m and new_d==d: break m = new_m d = new_d print "FI...
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from django.contrib import admin from . import models admin.site.register(models.AllModel) admin.site.register(models.Float) admin.site.register(models.Decimal) admin.site.register(models.BigInteger) admin.site.register(models.Integer) admin.site.register(models.SmallInteger) admin.site.register(models.PositiveInteg...
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from operators.operator import Operator __author__ = '' class Unary(Operator): """ Represent unary operator """ __slots__ = ('_operand', '_norm') def __init__(self, operand, norm): """ Initialize an unary operator :param operand: single operand :pa...
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from artefact_nca.config.base.base_config import ( BaseDatasetConfig, BaseLoggingConfig, BaseModelConfig, BaseTrainerConfig, DefaultConfig, make_trainer_defaults, ) __all__ = [ "make_trainer_defaults", "BaseModelConfig", "BaseDatasetConfig", "BaseLoggingConfig", "BaseTrainer...
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from __future__ import print_function import numpy as np from scipy.special import logsumexp from optimization.loss import calculate_loss_array def calculate_likelihood(X, model, args, S=5000, MB=500): # set auxiliary variables for number of training and test sets N_test = X.size(0) X = X.view(-1, *args...
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import logging logger = logging.getLogger(__name__) import os #import psana.pyalgos.generic.Utils as gu import os import sys from psana.graphqt.CMWControlBase import cp, CMWControlBase from psana.graphqt.QWFileName import QWFileName from PyQt5.QtCore import Qt, pyqtSignal, QPoint, QPointF, QRect, QRectF, QSize, QTime...
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import random import numpy import math import numpy as np import matplotlib.pyplot as plt # Define monitor class: class monitor: # check pixel resolution of the computer where # phsychophysics will be used. pixel_res_width = None pixel_res_height = None # specify these values in cm of the visible # screen area ...
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import torch import torch.nn as nn import torch.optim as optim from deepproblog.utils import count_parameters from deepproblog.utils.standard_networks import MLP vocab = dict() hidden_size = 512 embed_size = 256 with open("data/vocab_746.txt") as f: for i, word in enumerate(f): word = word.strip() ...
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from __future__ import print_function #State attributes for the different layers StateAttributes = { 'bass1': { 'HOME_CHORD_MOVEMENT_DISTANCE': 0, }, 'bass2': { 'DURATION_CHORD_TONES_FOR_CHORD_LENGTH': 0, 'DURATION_NON_CHORD_TONES_FOR...
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import signal import sys import types import typing as tp try: # noinspection PyProtectedMember SIG_TYPE = signal._SIG except AttributeError: SIG_TYPE = int # we are running on Windows # noinspection PyUnusedLocal def dump_frames_on(sig_no: tp.Optional[SIG_TYPE] = None, stack_frame: t...
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from hetdesrun.component.registration import register from hetdesrun.datatypes import DataType import pandas as pd # ***** DO NOT EDIT LINES BELOW ***** # These lines may be overwritten if input/output changes. @register( inputs={"left": DataType.Any, "right": DataType.Any}, outputs={"result": DataType.Any}, ...
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from setuptools import setup, find_packages setup( name='budapestcode', version='0.0.1', author='<NAME> di <NAME>, <NAME>', author_email='<EMAIL>, <EMAIL>', description='Code for analyses related to the Budapest dataset', packages=find_packages(), install_requires=[], )
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import logging logger = logging.getLogger("message_analyser") logger.setLevel(logging.INFO) ch = logging.StreamHandler() ch.setLevel(logging.INFO) formatter = logging.Formatter("%(asctime)s - %(message)s") ch.setFormatter(formatter) logger.addHandler(ch)
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import unittest import zserio from testutils import getZserioApi class StructTemplateClashTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.api = getZserioApi(__file__, "templates.zs").struct_template_clash def testReadWrite(self): testStruct_uint32 = self.api.TestStruct_uint...
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import numpy as np import nengo from nengo.exceptions import ValidationError from nengo.networks.ensemblearray import EnsembleArray from nengo.spa.module import Module class State(Module): """A module capable of representing a single vector, with optional memory. This is a minimal SPA module, useful for pas...
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from ctypes import * from mirage.libs.common.sdr.hackrf_definitions import * from mirage.libs.common.sdr.pipeline import * from mirage.libs.common.sdr.hardware import * from mirage.libs import io,utils import os,threading,numpy ''' This component implements the supported Software Defined Radio Sources (e.g. RX). ''' ...
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import numpy as np # # AGENT # Section Evaluation Agent # # INTRODUCTION # This agent follows the principles of the normal TFT agent, but tries to improve on possible weaknesses. # # STRATEGY # The agent checks sections at the end of the history of increasing size (powers of 2), # to check if the opponent breached tr...
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from django.contrib.auth.base_user import BaseUserManager, AbstractBaseUser from django.db import models from django.contrib.auth.models import User, PermissionsMixin from django.urls import reverse class UserManager(BaseUserManager): use_in_migrations = True def create_superuser(self, username: str, passwor...
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def count_by_weekday(start_date, end_date): """ returns a list of length 7 with the number of occurrences of each day over a given period :param start_date: first day of the period :type start_date: datetime.datetime :param end_date: first day after the period :type end_date: datetime.datetim...
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import re from setuptools import find_packages, setup with open('README.rst', encoding='utf8') as f: long_description = f.read() with open('brawlstats/__init__.py') as f: version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', f.read(), re.MULTILINE).group(1) requirements = [] with open('requirements...
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import datetime import torch import random import numpy as np import torch.nn.functional as F from torch import optim, nn from torch.autograd import Variable from torch.utils.data import DataLoader from torchvision import transforms import time from config import * from resnext import D4Net # from util.folder_mvtec im...
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from datetime import datetime, date from marqeta.response_models import datetime_object import json import re class ClearingRetryModel(object): def __init__(self, json_response): self.json_response = json_response def __str__(self): return json.dumps(self.json_response, default=self.json_seri...
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import setuptools with open("README.md", "r") as readme: long_description = readme.read() with open("requirements.txt", "r") as reqs: requirements = reqs.read() setuptools.setup( name="redis-sitesearch", version="1.0", author="<NAME>", author_email="<EMAIL>", description="Redis-powered ...
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import FWCore.ParameterSet.Config as cms vertexFromMuon = cms.EDProducer("VertexFromTrackProducer", verbose = cms.untracked.bool(False), trackLabel = cms.InputTag("hltL3MuonCandidates"), isRecoCandidate = cms.bool(False), useTriggerFilterElectrons = cms.bool(False), triggerFilterElectronsSrc = cms....
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from icevision.parsers.parser import * from icevision.parsers.coco_parser import * from icevision.parsers.voc_parser import * from icevision.parsers.via_parser import *
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import sys sys.path[0] = sys.path[0][:-len("scripts/")] # hacky way to treat it as root directory import random import torch import torch.nn as nn import torch.nn.functional as F import torchvision as tv from src.neural_blocks import ( SkipConnMLP, FourierEncoder ) from src.utils import ( fat_sigmoid ) from tqdm impor...