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from bitmovin.errors import InvalidTypeError from bitmovin.resources import AbstractNameDescriptionResource from bitmovin.resources.models import AbstractModel from bitmovin.utils import Serializable from .concatenation_input_stream_configuration import ConcatenationInputStreamConfiguration class ConcatenationInputSt...
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data = ( 'jeo', # 0x00 'jeog', # 0x01 'jeogg', # 0x02 'jeogs', # 0x03 'jeon', # 0x04 'jeonj', # 0x05 'jeonh', # 0x06 'jeod', # 0x07 'jeol', # 0x08 'jeolg', # 0x09 'jeolm', # 0x0a 'jeolb', # 0x0b 'jeols', # 0x0c 'jeolt', # 0x0d 'jeolp', # 0x0e 'jeolh', # 0x...
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from chainercv.datasets.coco.coco_instances_base_dataset import \ COCOInstancesBaseDataset class COCOBboxDataset(COCOInstancesBaseDataset): """Bounding box dataset for `MS COCO`_. .. _`MS COCO`: http://cocodataset.org/#home Args: data_dir (string): Path to the root of the training data. If ...
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import os import numpy as np import copy from PIL import Image, ImageDraw from collections.abc import Sequence from paddle.io import Dataset from data.operators import * from eval_model import get_categories, get_infer_results class ImageFolder(Dataset): def __init__(self, dataset_dir=None, ...
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import requests from requests.auth import HTTPBasicAuth from optparse import OptionParser import sys import time if ((len(sys.argv) < 9 or len(sys.argv) > 9) and '-h' not in sys.argv): print("Usage:") print("python3 %s -p <password> -f <inputfile> -d <domain> -w <wait_time>" % sys.argv[0]) sys.exit(1) pa...
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import torch from torch.nn import functional as F from torch.autograd import Variable import torch.nn as nn import math import numpy as np from ..config import eps class ConvBlock4(torch.nn.Module): def __init__(self, inpt_kernel, output_kernel, kernel_size=4, stride=1, padding=0): super().__init__() ...
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import csv import ipdb import logging from operator import itemgetter from gensim import corpora, models from gensim.utils import lemmatize from gensim.parsing.preprocessing import STOPWORDS from gensim.models.coherencemodel import CoherenceModel import gensim logging.basicConfig(format='%(asctime)s : %(levelname)s : ...
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from loguetools import xd def test_translate_step_data(): data = "00 01 02 03 04 05 06 07 08 09 0a 0b 0c 0d 0e 0f 10 20 30 40".replace(' ', '') og_step_data = bytes.fromhex(data) output = xd.fn_translate_step_data(og_step_data) match = bytes.fromhex( '00 01 02 03 00 00 00 00 04 05 06 07 00 00 ...
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import os def pre_process(data_path): file_name = os.path.split(data_path)[1].split('.')[0] return data_path, file_name
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import json import asyncio import pytest from model_mommy import mommy from aiohttp import ws_connect, WSServerHandshakeError from aiohttp.web import Application, MsgType from rest_framework.authtoken.models import Token from redis_pubsub.contrib.websockets import websocket, websocket_pubsub from redis_pubsub.contr...
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from typing import Callable from indexpy.utils.register import RegisterDict def test_register_dict(): d: RegisterDict[str, Callable] = RegisterDict() @d.register("foo") def foo(): pass assert d["foo"] is foo
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import pytest import datetime import shutil import os from textwrap import dedent from os.path import join from ...api import Gradebook, MissingEntry from .. import run_nbgrader from .base import BaseTestApp class TestNbGraderDb(BaseTestApp): def test_help(self): """Does the help display without error?...
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import math, unittest from collections import namedtuple from robot import constant from robot.mech.exceptions import InvalidJointAngleError, InvalidJointDictError from robot.mech.joint import DenavitHartenberg, JointLimits, Joint from spatial import Transform, Vector3 def ...
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import logging import string import numpy as np from ...tools.constants import DISEASE_PLACEHOLDER from ...tools.constants import GENE_PLACEHOLDER module_logger = logging.getLogger(__name__) def generate_embedding_matrix(sentences_tokenized, word_vectors, word_to_index, max_length, min_words_mapped=0, ...
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import itertools import re from .common import SearchInfoExtractor class GoogleSearchIE(SearchInfoExtractor): IE_DESC = 'Google Video search' IE_NAME = 'video.google:search' _SEARCH_KEY = 'gvsearch' _TESTS = [{ 'url': 'gvsearch15:python language', 'info_dict': { 'id': 'pyt...
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import sqlalchemy as sa from karmabot.db.modelbase import SqlAlchemyBase class KarmaUser(SqlAlchemyBase): """Models a slack user with karma in the DB""" __tablename__ = "karma_user" user_id = sa.Column(sa.String, primary_key=True) username = sa.Column(sa.String) karma_points = sa.Column(sa.Inte...
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from sqlalchemy import Column, event, Index, Integer, String from rdr_service.model.base import Base, model_insert_listener from rdr_service.model.utils import UTCDateTime class ApiUser(Base): __tablename__ = "api_user" id = Column("id", Integer, primary_key=True, autoincrement=True, nullable=False) crea...
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from unittest import TestCase from jsonmapping import StatementsVisitor from .util import resolver, fixture_uri def load_maker(stmts): def _load(subject): for (s, p, o, t) in stmts: if s == subject: yield { 'subject': s, 'predicate': p,...
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import doctest from insights.combiners import package_provides_httpd from insights.parsers.package_provides_httpd import PackageProvidesHttpd from insights.combiners.package_provides_httpd import PackageProvidesHttpdAll from insights.tests import context_wrap PACKAGE_COMMAND_MATCH_1 = """ /opt/rh/httpd24/root/usr/sb...
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r"""Functions for nuclear and neutron beta decay effective couplings and $Ft$ values.""" from math import pi, log, sqrt import flavio from flavio.config import config from flavio.physics.betadecays.common import wc_eff from flavio.physics.ckm import get_ckm from flavio.physics.taudecays.taulnunu import GFeff from fla...
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import asyncio from random import choice as randchoice import aiohttp import discord from redbot.core import Config, checks, commands numbs = {"next": "➡", "back": "⬅", "exit": "❌"} class Halo(commands.Cog): """ Display Halo 5 and Halo Wars 2 stats and information """ def __init__(self, bot): ...
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self.description = "Sysupgrade with ignored package prevent other upgrade" lp1 = pmpkg("glibc", "1.0-1") lp2 = pmpkg("gcc-libs", "1.0-1") lp2.depends = ["glibc>=1.0-1"] lp3 = pmpkg("pcre", "1.0-1") lp3.depends = ["gcc-libs"] for p in lp1, lp2, lp3: self.addpkg2db("local", p) sp1 = pmpkg("glibc", "1.0-2") sp2 = pmpk...
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from types import FunctionType from lab import B from matrix import Constant from mlkernels import ( num_elements, ZeroKernel, TensorProductKernel, ) from plum import Union from .fdd import FDD from .gp import GP, assert_same_measure from .observations import ( AbstractObservations, Observations, ...
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import sys from pyspark.sql import SparkSession from pyspark.sql.functions import udf from pyspark.sql.types import * from pyspark.sql import Row import operator from pyspark.mllib.clustering import KMeans spark = SparkSession.builder \ .master("local") \ .appName("Anomalies Detection") \ .con...
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import logging from pyscreenshot.about import __version__ from pyscreenshot.childproc import childprocess_backend_version from pyscreenshot.loader import FailedBackendError, backend_dict, backend_grab ADDITIONAL_IMPORTS = [FailedBackendError] log = logging.getLogger(__name__) log.debug("version=%s", __version__) d...
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import vcf import sys import os from lib.csq_parser import CsqParser from Bio.Seq import translate import lib.run_utils class ProximalVariant: #flanking_bases is the number of bases (not amino acids!) to search on each side of a variant position def __init__(self, proximal_variants_vcf, pass_only, flanking_bas...
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import sys import os from selexp import * def fn2type(x): c1 = 'CLUSTER_1_ITER' clust = 'CLUSTER' grdy = 'GREEDY' if c1 in x: return c1 elif clust in x: return clust elif grdy in x: if 'OUTLIERS' in x: return ('OUTLIERS', float(x.split("OUTLIERS_")[1].split...
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import unittest import torch import torch_testing as tt from all import nn from all.core import StateArray from all.approximation import VNetwork, FeatureNetwork from all.memory import NStepAdvantageBuffer class NStepAdvantageBufferTest(unittest.TestCase): def setUp(self): torch.manual_seed(1) sel...
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import numpy as np from context import arkouda as ak from base_test import ArkoudaTest SIZE = 10 K = 5 def make_array(): a = ak.randint(0, SIZE, SIZE) return a def compare_results(akres, sortedres) -> int: ''' Compares the numpy and arkouda arrays via the numpy.allclose method with the default re...
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import argparse from functools import partial import gzip from pathlib import Path import random from typing import List from tqdm import tqdm def get_random_lines_from_file(filepath, title_line: bool = True, k: int = 1, N: int = 1) -> List[List]: open_ = partial(gzip.open, mode='rt...
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import numpy import math from timeit import default_timer as timer import willump.evaluation.willump_executor @willump.evaluation.willump_executor.willump_execute() def process_row(input_numpy_array): return_numpy_array = numpy.zeros(516) return_numpy_array[0] = input_numpy_array[68] / math.sqrt(input_numpy_a...
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from collections import defaultdict from past.builtins import basestring from pyramid.response import Response from pyramid.view import view_config from subprocess import Popen, PIPE from xml.sax.saxutils import quoteattr, escape from contentbase import TYPES def includeme(config): config.add_route('graph_dot', '...
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from django.db import connection from django.db.backends.util import truncate_name from django.db.models.fields import Field # Django base Field class from django.contrib.gis.db.backend.util import gqn from django.contrib.gis.db.backend.oracle.query import TRANSFORM # Quotename & geographic quotename, respectively. qn...
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import cv2 import numpy as np cap=cv2.VideoCapture('data/vtest.avi') ret,frame1=cap.read() ret,frame2=cap.read() while cap.isOpened(): diff=cv2.absdiff(frame1,frame2) gray=cv2.cvtColor(frame1,cv2.COLOR_BGR2GRAY) blur=cv2.GaussianBlur(gray,(5,5),0) _,thresh=cv2.threshold(blur,20,255,cv2.THRESH...
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from collections import defaultdict import fcntl import io import os import re import subprocess import sys import tempfile from django.conf import settings #from celery.utils import log as logging import logging log = logging.getLogger(__name__) #log = logging.task_logger __author__ = 'pflarr' SUDO_CMDS = settin...
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import pytest import pandas as pd from roughviz.charts.stacked_bar import StackedBar def test_wrong_type_data(): wrong_data = {"loc": ["North", "South", "East", "West"], "values": [10, 5, 8, 3]} match = "Only valid type of data is list" with pytest.raises(TypeError, match=match): StackedBar(data...
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from __future__ import print_function import time import epics import pvnames print('== Test get/put for synchronous groups') pvs = pvnames.motor_list chids = [epics.ca.create_channel(pvname) for pvname in pvs] for chid in chids: epics.ca.connect_channel(chid) epics.ca.put(chid, 0) print('Now create synch ...
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import time,os import re from modint import chinese_remainder def profiler(method): def wrapper_method(*arg, **kw): t = time.time() ret = method(*arg, **kw) print('Method ' + method.__name__ +' took : ' + "{:2.5f}".format(time.time()-t) + ' sec') return ret return wrapper_metho...
1689807
import string from pathlib import Path class AUDIO_CONFIG: sampling_rate = 32000 duration = 1 hop_length = 251 # making it 128 in size fmin = 500 fmax = 15000 n_mels = 128 n_fft = n_mels * 20 samples = sampling_rate * duration padmode = 'reflect' def fill_range(letter_start, le...
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from unittest.mock import create_autospec, ANY, patch, call import pytest from stack.commands import DatabaseConnection from stack.commands.remove.host.firmware.mapping import Command from stack.exception import CommandError from stack.commands.remove.host.firmware.mapping.plugin_basic import Plugin class TestRemoveHo...
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import os BASE_DIR = os.path.dirname(os.path.abspath(__file__)) ROOT_DIR = os.path.join(BASE_DIR, os.pardir) DATA_DIR = os.path.join(ROOT_DIR,'Data') mesh_top_dir = os.path.join(DATA_DIR,'GraspNet') scan_result_dir = os.path.join(DATA_DIR,'BlensorResult') CommandFile_dir = os.path.join(DATA_DIR,'CommandFiles')
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from __future__ import print_function import unittest from unittest import TestCase import numpy as np from numpy.testing import assert_, assert_raises from numpy.testing import assert_array_equal, assert_array_almost_equal from hmmlearn.utils import normalize from autohmm import tm np.seterr(all='warn') def tes...
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import numpy as np import scipy.sparse as spa import cvxpy class RandomQPExample(object): ''' Random QP example ''' def __init__(self, n, seed=1): ''' Generate problem in QP format and CVXPY format ''' # Set random seed np.random.seed(seed) m = int(n * ...
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from kratos import * class SW_NET(Generator): ''' The switching network will bring in multiple items per cycle and direct them to the appropriate aggregation buffer ''' def __init__(self, interconnect_in, offsets, # Offset between the interconnect_in ports ...
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from codebase.models.extra_layers import leaky_relu, wndense, noise, wnconv2d, wnconv2d_transpose, scale_gradient import tensorflow as tf from tensorflow.contrib.framework import arg_scope from tensorbayes.layers import dense, conv2d, conv2d_transpose, upsample, avg_pool, max_pool, batch_norm, instance_norm from codeba...
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from __future__ import print_function, division, absolute_import from fontTools.misc.py23 import * from fontTools.misc import sstruct from fontTools.misc.textTools import safeEval from . import DefaultTable import array import sys Gloc_header = ''' > # big endian version: 16.16F # Table version ...
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import argparse import sys from os.path import abspath from json import dumps from charset_normalizer import from_fp from charset_normalizer.models import CliDetectionResult from charset_normalizer.version import __version__ from platform import python_version def query_yes_no(question, default="yes"): """Ask a...
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from app.thirdparty.oneforall.config import settings from app.thirdparty.oneforall.common.query import Query class ChinazAPI(Query): def __init__(self, domain): Query.__init__(self) self.domain = domain self.module = 'Dataset' self.source = 'ChinazAPIQuery' self.addr = 'htt...
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import ftplib import sys import os import argparse def get_arg_parser(): parser = argparse.ArgumentParser( description="Upload to ftp server", formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument("file_path", nargs='?', default="/data/test.txt", help="Path t...
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from typing import Any, Dict, Iterable, Tuple, Union import numpy as np from cirq import linalg, protocols, value from cirq._compat import proper_repr from cirq.ops import raw_types class MixedUnitaryChannel(raw_types.Gate): """A generic mixture that can record the index of its selected operator. This type ...
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def import_class(module_name, class_name): """ Import a class given the specified module name and class name. """ klass = __import__(module_name) class_segments = class_name.split(".") for segment in class_segments: klass = getattr(klass, segment) return klass
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from prefix import * from chaperone.cutil.syslog import _syslog_spec_matcher SPECS = ( ('*.*', '(True)'), ('[crond].*', '((g and "crond" == g.lower()))'), ('.*', 'Invalid log spec syntax: .*'), ('kern.*...
1690129
from enum import Enum, auto from zemberek.core.turkish import PrimaryPos, SecondaryPos, RootAttribute, TurkishAlphabet, Turkish from zemberek.morphology.analysis.single_analysis import SingleAnalysis class WordAnalysisSurfaceFormatter: ALPHABET = TurkishAlphabet.INSTANCE def format_(self, analysis: SingleAn...
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import sublime import json import codecs import os is_sublime_text_3 = int(sublime.version()) >= 3000 if is_sublime_text_3: from .settings import Settings else: from settings import Settings class ProcessCache(): _procs = [] last_task_name = None @classmethod def get_from_storage(cls): ...
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import os from ._base import DirSyncTestCase from . import trees from dirsync import sync class SimpleTests(DirSyncTestCase): init_trees = (('src', trees.simple),) def test_simple_exclude(self): sync('src', 'dst', 'sync', create=True, exclude=...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch import numpy as np from models.losses import FocalLoss, RegL1Loss, RegLoss, RegWeightedL1Loss, BinRotLoss, AutoShape_Position_loss, RegWeightedL1Loss2 from models.utils import _sigmoid from .base_...
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import argparse def annotate_enhancer_promoter_loops( left_enhancers, right_enhancers, left_promoters, right_promoters): """ Split loops into anchors. """ loops = {} left_coords = {} right_coords = {} # Left enhancers with open(left_enhancers, 'r') as f: for line in f:...
1690217
import numpy as np # import PIL.Image import matplotlib.pyplot as plt import matplotlib.cm as cm # lowest = -1.0 lowest = 0.0 highest = 1.0 # -------------------------------------- # Color maps ([-1,1] -> [0,1]^3) # -------------------------------------- def heatmap(x): x = x[..., np.newaxis] # positive re...
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import opencv #this is important for capturing/displaying images from opencv import highgui import pygame import sys camera = highgui.cvCreateCameraCapture(0) def get_image(): im = highgui.cvQueryFrame(camera) # Add the line below if you need it (Ubuntu 8.04+) im = opencv.cvGetMat(im) #convert Ipl ima...
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from __future__ import division from options import get_parsed_commandline_options from data_3d import WaveFront # from data_3d import * from modes import * from file_utils import * from modes.manipulate_results_data import * import logging from service import GracefulShutdown # ===================================...
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import os import logging import sys from logging.handlers import RotatingFileHandler from mlcomp import LOG_FOLDER, LOG_NAME, FILE_LOG_LEVEL, DB_LOG_LEVEL, \ CONSOLE_LOG_LEVEL from mlcomp.db.core import Session from mlcomp.db.providers import LogProvider from mlcomp.db.models import Log from mlcomp.utils.misc impo...
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import multiprocessing import os import time import gym import numpy as np import tensorflow as tf import tensorlayer as tl from RLToolbox.toolbox.common.utils import * from RLToolbox.agent.A3C_agent import A3CAgent from RLToolbox.storage.storage_continous_parallel import ParallelStorage from RLToolbox.toolbox.baselin...
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import sqlite3 import textwrap from scripts.artifact_report import ArtifactHtmlReport from scripts.ilapfuncs import logfunc, tsv, timeline, is_platform_windows, open_sqlite_db_readonly def get_smanagerLow(files_found, report_folder, seeker, wrap_text): file_found = str(files_found[0]) db = open_sqlite_db...
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import json import argparse import yaml import copy from flair.utils import logging from flair.algorithms import dict_merge logger = logging.init_logger() class Params(object): """ Parameters """ def __init__(self, params): self.params = params def __eq__(self, other): if not i...
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STATES = ( ('AK', 'Alaska'), ('AL', 'Alabama'), ('AR', 'Arkansas'), ('AZ', 'Arizona'), ('CA', 'California'), ('CO', 'Colorado'), ('CT', 'Connecticut'), ('DC', 'District of Columbia'), ('DE', 'Delaware'), ('FL', 'Florida'), ('GA', 'Georgia'), ('HI', 'Hawaii'), ('IA', '...
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from tracking.abstract import AbstractTracker from jnius import autoclass, JavaException ScreenViewBuilder = autoclass('com.google.android.gms.analytics.HitBuilders$ScreenViewBuilder') EventBuilder = autoclass('com.google.android.gms.analytics.HitBuilders$EventBuilder') GoogleAnalytics = autoclass('com.google.android....
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from __future__ import absolute_import def test_1d_acoustics(): """test_1d_acoustics tests against known classic, sharpclaw, and high-order weno results """ from . import acoustics_1d def verify_expected(expected): """ binds the expected value to the acoustics_verify methods """ def...
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import pytest import responses from django.core.files.uploadedfile import SimpleUploadedFile from docutils.nodes import document from inmemorystorage.storage import InMemoryFile from django_docutils.favicon.prefetch import ( is_favicon_stored, prefetch_favicon, yield_page_doctrees, yield_references, )...
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import py import sys, os, gc from rpython.translator.c.test import test_newgc from rpython.translator.translator import TranslationContext from rpython.translator.c.genc import CStandaloneBuilder from rpython.annotator.listdef import s_list_of_strings from rpython.conftest import option from rpython.translator.tool.cbu...
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import os import json import configparser from ssr.utility.logging_extension import logger _config = None class SSRConfig: default_section = "DEFAULT" comment_symbol = "#" @staticmethod def get_instance(): assert _config is not None return _config @staticmethod def set_ins...
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import torch import MinkowskiEngine as ME from torch.utils.tensorboard import SummaryWriter from typing import List from collections import defaultdict from models.transition_model import TransitionModel from utils.pad import unpack, get_gt_values from utils.util import timeit, downsample from utils.scheduler import In...
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import datetime import nose from traces import TimeSeries, Histogram def test_distribution(): start = datetime.datetime(2015, 3, 1) # v. simple a = TimeSeries() a.set(start, 1) a.set(datetime.datetime(2015, 3, 2), 0) a.set(datetime.datetime(2015, 3, 3), 1) a.set(datetime.datetime(2015, 3...
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from .pydbg import DebuggerBase, DbgEng class CrashDbg(DebuggerBase): def __init__(self): super().__init__(client=None, standalone=True) def load_dump(self, name): self._client.OpenDumpFile(name) self.go()
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import numpy as np import matplotlib.pyplot as plt # ========== HW04 SOLUTION [Python2] ========== # # ========== 1 ========== # five_dim_array = np.load('five_dim_array.npy') array_flat = five_dim_array.flatten() print array_flat.argmin() # ========== 2 ========== # x = np.linspace(-10, 10) plt.figure() plt.plo...
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import json from math import exp from matplotlib import pyplot as plt if __name__ == "__main__": with open("primitives.json", "r") as f: primitives = {x['label']:x for x in json.load(f)} with open("results.json", "r") as f: results = json.load(f)["results"] ys_precip = [r['intervened']['v...
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from __future__ import absolute_import from __future__ import print_function from .products import load_product_yaml from .yaml import open_raw def open_environment(build_config_yaml_path, product_yaml_path): contents = open_raw(build_config_yaml_path) contents.update(load_product_yaml(product_yaml_path)) ...
1690832
import meshcat import numpy as np import pinocchio as pin # Meshcat utils def meshcat_material(r, g, b, a): import meshcat material = meshcat.geometry.MeshPhongMaterial() material.color = int(r * 255) * 256 ** 2 + int(g * 255) * 256 + int(b * 255) material.opacity = a return material def meshca...
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import datetime import pathlib import unittest from freenom_dns_updater import Record, RecordType from freenom_dns_updater.record_parser import RecordParser class DomainParserTest(unittest.TestCase): def test_parse_records(self): path = pathlib.Path(__file__).parent / "resources" / "record_page.html" ...
1690869
import unittest import orca import os.path as path from setup.settings import * from pandas.util.testing import * def _create_odf_csv(datal, datar): dfsDatabase = "dfs://testMergeAsofDB" s = orca.default_session() dolphindb_script = """ login('admin', '<PASSWORD>') ...
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import argparse from argparse import Namespace from datasets import CIFAR10 from datasets import MNIST from datasets import SHANGHAITECH from datasets import UCSDPed2 from models import LSACIFAR10 from models import LSAMNIST from models import LSAShanghaiTech from models import LSAUCSD from result_helpers import OneCl...
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from bento.compat.api \ import \ defaultdict class CommandRegistry(object): def __init__(self): # command line name -> command class self._klasses = {} # command line name -> None for private commands self._privates = {} def register(self, name, cmd_klass, public=Tr...
1690979
import os import os.path as osp import sys import torch import torch.utils.data as data import torchvision.transforms as transforms import cv2 import numpy as np from .config import cfg, MEANS, STD from pycocotools import mask as maskUtils import contextlib import io import logging import time def collate_fn_flying_c...
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import os import torch import torch.nn as nn from core.model_transform import * from core.utils import is_main_process __all__ = ["CheckPoint"] class CheckPoint(object): """ save model state to file check_point_params: model, optimizer, epoch """ def __init__(self, save_path, ...
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import plotly.graph_objects as go from plotly.subplots import make_subplots import pandas as pd import numpy as np import argparse import backtest import indicators import strategies def main(): parser = argparse.ArgumentParser() parser.add_argument("file") parser.add_argument("--sma", type=int, nargs='+...
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import os import sys from pathlib import Path from helpers.generator import generate_files from helpers.files import download_file, CompressionResult, discover, FileData # Add the engine directory to the path of importable directories engine_path = os.getcwd() + "/engine" sys.path.append(engine_path) from engine impo...
1691141
import gym from typing import Dict from ding.envs import BaseEnv from ding.envs.common import EnvElement ALL_ACTION_TYPE = set(['change']) class SumoAction(EnvElement): r""" Overview: the action element of Sumo enviroment Interface: _init, _from_agent_processor """ _name = "Sumo...
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import json import csv import random import boto3 from botocore.vendored import requests def lambda_handler(event, context): try: # Set user pidx from S3 s3 = boto3.resource('s3') bucket = s3.Bucket('gamingonaws2018') obj = bucket.Object(key = 'userList.csv') respon...
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import warnings from ibllib.misc import logger_config warnings.filterwarnings('always', category=DeprecationWarning, module='ibllib') # if this becomes a full-blown library we should let the logging configuration to the discretion of the dev # who uses the library. However since it can also be provided as an app, th...
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import csv import os import pickle from typing import List import numpy as np import pandas as pd from rdkit import Chem from rdkit.Chem import PandasTools def save_features(path: str, features: List[np.ndarray]) -> None: """ Saves features to a compressed :code:`.npz` file with array name "features". :p...
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from __future__ import unicode_literals import frappe def execute(): if not frappe.db.exists("Item Group", {'item_group_name': 'WA State Classifications'}): from erpnext_biotrack.install.after_install import install_fixtures install_fixtures()
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import pytest from pymongo_migrate.generate import slugify @pytest.mark.parametrize( "test_input,expected", [ ("My comment", "my_comment"), ("counting: 1, 2, 3", "counting_1_2_3"), ("wat?!", "wat"), ("<NAME>", "may_wik"), ], ) def test_slugify(test_input, expected): as...
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import numpy as np import yaml import os, sys import copy from functools import reduce import random from timeloop_env import TimeloopEnv from multiprocessing.pool import Pool from multiprocessing import cpu_count import shutil from functools import cmp_to_key, partial class GammaTimeloopEnv(object): def __init__...
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import argparse import codecs import datetime import hashlib import inspect import logging import os import sys import time import traceback import warnings import dill import nbformat as nbf from jupyter_client.kernelspec import KernelSpecManager from nbconvert import HTMLExporter from nbconvert.preprocessors import ...
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from django.shortcuts import render from rest_framework.views import APIView from rest_framework.response import Response from django.db.models import Q from user.permissions import CustomerPremission from rest_framework.permissions import IsAuthenticated, IsAdminUser, IsAuthenticatedOrReadOnly, AllowAny import time,da...
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import logging from construct import Int64ul from regipy.exceptions import RegistryKeyNotFoundException from regipy.hive_types import SYSTEM_HIVE_TYPE from regipy.plugins.plugin import Plugin from regipy.utils import convert_wintime logger = logging.getLogger(__name__) BAM_PATH = r'Services\bam\UserSettings' clas...
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from datetime import * import sys sys.path.append("../../..") import JeevesLib from smt.Z3 import * import macropy.activate from users import * from assignment import * class Submission(): def __init__(self, submissionId, title, assignmentId, submitterId, fileRef): self.submissionId = submissionId self.tit...
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from pyecharts import options as opts from pyecharts.charts import EffectScatter from pyecharts.faker import Faker c = ( EffectScatter() .add_xaxis(Faker.choose()) .add_yaxis("", Faker.values()) .set_global_opts( title_opts=opts.TitleOpts(title="EffectScatter-显示分割线"), xaxis_opts=opts.Ax...
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from .token import coord from termcolor import colored as X import os.path import sys def show_line(pos, hi=lambda x: X(x, 'red', attrs=['bold'])): if not pos.file: return if not os.path.isfile(pos.file): return with open(pos.file) as tmp: for num, line in enumerate(tmp): if num + 1 == pos.l...
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from tests.utils import W3CTestCase class TestBidiOverride(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'bidi-override-'))
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from .processors import InputExample, InputFeatures, DataProcessor from .processors import glue_output_modes, glue_processors, glue_tasks_num_labels, glue_convert_examples_to_features from .processors import xnli_output_modes, xnli_processors, xnli_tasks_num_labels from .metrics import is_sklearn_available if is_sklea...