id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
3325319 | import spacy
nlp = spacy.load("de_core_news_sm")
text = "Apple wurde 1976 von <NAME>, <NAME> und <NAME> gegründet."
# Verarbeite den Text
doc = ____
# Iteriere über die vorhergesagten Entitäten
for ent in ____.____:
# Drucke den Text und das Label der Entität
print(ent.____, ____.____)
|
3325334 | def sprint(*arg,end="\n",sep = " "):
if(len(arg)==0):
print(end=end,sep=sep)
return
for ele in arg[:len(arg)-1]:
res = str(ele)
if(len(res)>3000):
print(res[:1000]+"\n"+"......\n"+"...... (%d characters)\n" %(len(res)-2000)+"......\n"+res[len(res)-1000:],end=se... |
3325348 | from polyphony import testbench
class C:
def __init__(self, x, y):
self.x = x
self.y = y
def field02(x, y):
c = C(x, y)
a = c.x + c.y
c.x = 10
return a + c.x
@testbench
def test():
assert 13 == field02(1, 2)
assert 15 == field02(2, 3)
assert 17 == field02(3, 4)
test()... |
3325412 | import pytest
from openeo.internal.graph_building import PGNode
from openeo.rest.connection import Connection
import openeo
def test_raster_to_vector(con100):
img = con100.load_collection("S2")
vector_cube = img.raster_to_vector()
vector_cube_tranformed = vector_cube.process_with_node(openeo.UDF("python s... |
3325424 | import unittest
import sys
from PyQt5.QtWidgets import QApplication, QDialog
from ui import RemoveVendorDialog
app = QApplication(sys.argv)
remove_vendor_dialog = QDialog()
remove_vendor_dialog_ui = RemoveVendorDialog.Ui_dialog_remove()
remove_vendor_dialog_ui.setupUi(remove_vendor_dialog)
class RemoveVendorDialogTe... |
3325433 | from jarray import array
from java.lang import String
from java.lang import Class
from org.myrobotlab.service import Clock
from org.myrobotlab.service import Log
from org.myrobotlab.service import Runtime
from org.myrobotlab.framework import Message
# inputTest.py
# example script for MRL showing Python Service
# inpu... |
3325466 | import numpy as np
from threading import Thread
import rospy
from geometry_msgs.msg import Pose
from geometry_msgs.msg import Twist
from ControlLaw import ControlLawDiff
class RobotControl(Thread):
def __init__(self, loop_rate=10):
Thread.__init__(self)
self.period = 1.0/loop_rate
self.... |
3325494 | from pytorch_complex_tensor.complex_scalar import ComplexScalar
from pytorch_complex_tensor.complex_grad import ComplexGrad
from pytorch_complex_tensor.complex_tensor import ComplexTensor
|
3325550 | from rest_framework.pagination import PageNumberPagination
class CustomPageNumberPagination(PageNumberPagination):
page_size = 1
max_page_size = 1
|
3325575 | from azaka.commands import VNCondition as VNC
from azaka.commands.proxy import _BoolOProxy
def test_cdns() -> None:
expr = '(((id >= 0) and (search ~ "*")) or (id = [1, 2, 3]))'
proxy = ((VNC.ID >= 0) & (VNC.SEARCH % "*")) | (VNC.ID_ARRAY == [1, 2, 3])
assert isinstance(proxy, _BoolOProxy)
assert prox... |
3325588 | from cliport.models.resnet import ResNet43_8s
from cliport.models.clip_wo_skip import CLIPWithoutSkipConnections
from cliport.models.rn50_bert_unet import RN50BertUNet
from cliport.models.rn50_bert_lingunet import RN50BertLingUNet
from cliport.models.rn50_bert_lingunet_lat import RN50BertLingUNetLat
from cliport.model... |
3325589 | import torch
import util_funcs as uf
def torch_f1_score(pred, target, n_class):
'''
Returns macro-f1 and micro-f1 score
Args:
pred:
target:
n_class:
Returns:
ma_f1,mi_f1: numpy values of macro-f1 and micro-f1 scores.
'''
def true_positive(pred, target, n_class... |
3325606 | import argparse
import inspect
import numpy as np
import theano
from matplotlib import pyplot as plt
from scipy.signal import convolve2d
from scipy.stats import multivariate_normal
from time import time
from theano import d3viz
from kusanagi.ghost import regression
from kusanagi import utils
np.set_printoptions(linew... |
3325648 | import sys
import numpy as np
from . import discriminative_sequence_classifier as dsc
import pdb
class CRFOnline(dsc.DiscriminativeSequenceClassifier):
""" Implements a first order CRF"""
def __init__(self, observation_labels, state_labels, feature_mapper,
regularizer=0.00001,
... |
3325651 | from __future__ import print_function
import inspect
import pkgutil
import six
from rdopkg import exception
from rdopkg.utils import log
if six.PY2:
inspect_getargspec = inspect.getargspec
else:
inspect_getargspec = inspect.getfullargspec
class Arg(object):
def __init__(self, name, **kwargs):
se... |
3325662 | import logging
import graphene
from atlas.models import Profile
class EmployeeTypeEnum(graphene.Enum):
NONE = ""
FULL_TIME = "Full-time"
CONTRACT = "Contract"
INTERN = "Intern"
class EmployeeTypeNode(graphene.ObjectType):
id = graphene.String()
name = graphene.String()
num_people = gra... |
3325664 | import numpy as np
from numpy import zeros, abs, min, sign, ceil, ones, pi, cos, sin
from pymoo.core.problem import Problem
class SYMPARTRotated(Problem):
"""
The SYM-PART test problem proposed in [1].
Parameters:
-----------
length: the length of each line (i.e., each Pareto subsets), default i... |
3325670 | import tensorflow as tf
from tensorflow.contrib import slim
from tensorflow.contrib.slim.python.slim.nets.vgg import vgg_16 as slim_vgg_16
from tensorflow.contrib.slim.python.slim.nets.vgg import vgg_arg_scope
from nninst import Graph
from nninst.backend.tensorflow.graph import build_graph
from nninst.utils.fs import ... |
3325695 | from .TestCase import TestCase
from .MockInput import MockInput
from .HttpTestResponse import HttpTestResponse
from .DatabaseTransactions import DatabaseTransactions
|
3325716 | from collections import namedtuple
from typing import NamedTuple
from ztom import core
from ztom import errors
from ztom import TradeOrder
import copy
import uuid
import time
class ActionOrderSnapshot(NamedTuple):
symbol: str = ""
amount: float = 0.0
price: float = 0.0
side: str = ""
status: str =... |
3325725 | import time
import numpy as np
def OnlyEven(*numbers):
"""Solo retorna los pares"""
EVENS=[n for n in numbers if n%2==0]
return EVENS
def long_line(x):
h = x**3 * np.cos(x/42)
res = x*5*h+3*np.cos(4 + x**2*np.sin(x)) - np.tan(x)*(np.pi/180*x+x/np.exp(x))
return
class Animal:
def _... |
3325732 | from youtube_livechat_messages.utils import isostr_to_datetime
class EventType:
# Todo: Support more events
textMessageEvent = "textMessageEvent"
superChatEvent = "superChatEvent"
fanFundingEvent = "fanFundingEvent"
class Author:
def __init__(self, author_json):
self.raw_json = author_j... |
3325756 | import re
# Taken from http://build.fhir.org/references.html (2.3.0.1).
# Note 1: Additional set of parenthesis placed after the closing slash on _history and end
# Note 2: '$' added to the end of of the string
# Note 3: Additional set of parenthesis placed on the resource identifier portion
# TODO: Find a mech... |
3325760 | import setuptools
def readme():
with open('README.md') as f:
README = f.read()
return README
setuptools.setup(
name='hungarian_algorithm',
version='0.1.11',
author='<NAME>',
author_email='<EMAIL>',
description='Python 3 implementation of the Hungarian Algorithm for the assignment problem.',
long_description... |
3325779 | import torch
import torch.nn as nn
class LinMod(nn.Linear):
'''Linear modules with or without batchnorm, all in one module
'''
def __init__(self, n_inputs, n_outputs, bias=False, batchnorm=False):
super(LinMod, self).__init__(n_inputs, n_outputs, bias=bias)
if batchnorm:
self.b... |
3325784 | import torch
import numpy as np
from collections import OrderedDict
class Seq(torch.nn.Sequential):
'''
Seq uses sequential module to implement tree in the forward.
'''
def give(self, xg, num_layers_boosted, ep=0.001):
'''
Saves various information into the object for further usage in ... |
3325790 | import numpy as np
from numpy.random import rand
import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
from matplotlib import pyplot as plt
from solutions import sqrt64
def invsqrt64(A, reps):
Ac = A.copy()
if 0 < reps:
Ac2 = A.copy()
Ac2 /= - 2
... |
3325853 | from pysolr import *
import socket
import logging
log = logging.getLogger('solr')
from contextlib import contextmanager
class SolrResultsPaginator(object):
"""Offers an iterator on Solr results. You simply provide a
configured pysolr `Solr` instance, a query, and the default parameters.
This class takes c... |
3325861 | import FWCore.ParameterSet.Config as cms
from L1TriggerConfig.L1ScalesProducers.L1MuTriggerScalesConfig_cff import *
from L1TriggerConfig.L1ScalesProducers.L1MuTriggerPtScaleConfig_cff import *
from L1TriggerConfig.L1ScalesProducers.L1MuGMTScalesConfig_cff import *
from L1TriggerConfig.GMTConfigProducers.L1MuGMTParame... |
3325892 | import torch
from openchem.modules.embeddings.openchem_embedding import OpenChemEmbedding
class OneHotEmbedding(OpenChemEmbedding):
def __init__(self, params):
super(OneHotEmbedding, self).__init__(params)
if self.padding_idx is not None:
weight = torch.eye(self.num_embeddings - 1)
... |
3325926 | from typing import List
import torch
from ..utils.box import jaccard_vectorized
def generate_prediction_table(
preds: List[torch.Tensor], targets: List[torch.Tensor]
) -> List[torch.Tensor]:
"""Generates prediction table
Args:
preds (List[torch.Tensor]): list of predictions as [torch.Tensor(N,5... |
3325929 | from functools import reduce
from os import listdir
from os.path import join, splitext
from re import M
from re import search as re_search
from typing import Any, Union
from docopt import docopt
from snakypy.helpers.ansi import FG, NONE
from snakypy.helpers.logging import Log
from snakypy.zshpower import __info__
fro... |
3325935 | import numpy as np
import torch
def get_batches(model, sentences, max_batch, tagset, training=True):
"""
Partitions a list of sentences (each a list containing [word, label]) into a set of batches
Returns:
-- batched_sents: original tokens in sentences
-- batched_orig_token_lens: length of original tokens in... |
3325972 | from __future__ import annotations
import enum
from typing import cast, List, Sequence, Tuple, Union, TYPE_CHECKING, Any
if TYPE_CHECKING:
from arkouda.categorical import Categorical
import numpy as np # type: ignore
from typeguard import typechecked, check_type
from arkouda.client import generic_msg
from arkouda.p... |
3325975 | def main(request, response):
headers = [(b"Content-Type", b"text/javascript"),
(b"Cache-Control", b"private, no-store")]
id = request.GET.first(b"id")
with request.server.stash.lock:
status = request.server.stash.take(id)
if status is None:
status = 200
... |
3326014 | from OSIsoftPy.client import client
import datetime
import random
from time import sleep
# arguments
piWebApi = 'https://applepie.dstcontrols.local'
verifySSL = False
server = client(piWebApi, authenticationType='kerberos', verifySSL=verifySSL).PIServers()[0]
testTag = "AlansPythonTestTag"
testTag2 = "AlansPythonTes... |
3326034 | from bs4 import BeautifulSoup
import requests
import json
import re
from .base import ScribdBase
from .. import internals
from .. import const
from .. import exceptions
class Track:
"""
A class for an audio chapter in a Scribd audiobook playlist.
Parameters
----------
track: `dict`
A dic... |
3326050 | from django.core.management.base import BaseCommand
from fluff.pillow import FluffPillowProcessor
from pillowtop.utils import get_pillow_by_name
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument(
'pillow_name',
)
parser.add_argument(
... |
3326056 | from src.subscriber.aggregation.user.contributions import get_contributions
from src.subscriber.aggregation.user.follows import get_user_follows
from src.subscriber.aggregation.user.package import get_full_user_data, get_user_data
from src.subscriber.aggregation.wrapped.package import main as get_wrapped_data
__all__ ... |
3326065 | import pytest
import yaml
from argo_workflow_tools import dsl, Workflow
@dsl.Task(image="python:3.10")
def say_hello(name: str):
message = f"hello {name}"
return message
@dsl.DAG()
def command_hello(name):
message = say_hello(name)
return message
def test_diamond_params_run_independently():
w... |
3326102 | from .detector3d_template import Detector3DTemplate
from ...utils import loss_utils, common_utils
from ...ops.roiaware_pool3d import roiaware_pool3d_utils
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import os
from torch.nn.modules.batchnorm import _BatchNorm
class PointRCNNMe... |
3326106 | from pathlib import Path
from morelia.config import TOMLConfig
from morelia.formatters import (
Buffered,
FileOutput,
RemoteOutput,
TerminalOutput,
TextFormat,
)
fixtures_dir = Path(__file__).parent / "fixtures"
def test_creates_writers():
config = TOMLConfig("terminals", filename=fixtures_d... |
3326109 | import pickle
import socket
import time
from netqasm.logging.glob import get_netqasm_logger
from netqasm.sdk.classical_communication.socket import Socket as _Socket
from simulaqron.general.host_config import SocketsConfig
from simulaqron.settings import simulaqron_settings
class Socket(_Socket):
RETRY_TIME = 0.... |
3326120 | import mafs
import json
fs = mafs.MagicFS()
fs.add_argument('file', help='json file to read from')
# read json file
with open(fs.args.file) as f:
items = json.load(f)
def dig(d, parts):
if parts:
try:
res = d.get(parts[0])
if res:
return dig(res, parts[1:])
... |
3326156 | import torch
# import numpy as np
from options.train_options import TrainOptions
import util.util as util
import os
from PIL import Image
import glob
mask_folder = 'masks/testing_masks'
test_folder = './datasets/Paris/test'
util.mkdir(mask_folder)
opt = TrainOptions().parse()
f = glob.glob(test_folder+'/*.png')
prin... |
3326172 | import logging
import os.path
import random
import socket
import string
import time
import uuid
import docker
import pytest
from bitshares import BitShares
from bitshares.account import Account
from bitshares.asset import Asset
from bitshares.exceptions import AccountDoesNotExistsException, AssetDoesNotExistsException... |
3326190 | from Zhihu.NN.one.Network import *
from Zhihu.NN.Layers import *
from Util.Util import DataUtil
np.random.seed(142857) # for reproducibility
def main():
nn = NNDist()
epoch = 1000
x, y = DataUtil.gen_xor(100)
nn.add(ReLU((x.shape[1], 24)))
nn.add(CrossEntropy((y.shape[1],)))
nn.fit(x, y... |
3326235 | from drl_grasping.utils import conversions
from geometry_msgs.msg import Transform
from rclpy.executors import MultiThreadedExecutor
from rclpy.node import Node
from rclpy.parameter import Parameter
from sensor_msgs.msg import PointCloud2
from threading import Thread
from typing import List, Tuple
import numpy as np
im... |
3326252 | from django import forms
import json
from workflows.models import AbstractWidget
class ImportForm(forms.Form):
data = forms.CharField(widget=forms.Textarea(attrs={'class':'formfieldclass'}))
def clean_data(self):
def get_all_abstract_widgets(jsondata,awset):
widgets = jsondata.g... |
3326308 | functions = {
'Abort': {
'parameters': [
{
'direction': 'in',
'name': 'vi',
'type': 'ViSession'
}
],
'returns': 'ViStatus'
},
'CheckAcquisitionStatus': {
'parameters': [
{
'dir... |
3326315 | import os,sys, getopt,re
badlyNamedProperties = ["kOfxImageEffectFrameVarying", "kOfxImageEffectPluginRenderThreadSafety"]
def getPropertiesFromDir(sourcePath, recursive, props):
if os.path.isdir(sourcePath):
files=sorted(os.listdir(sourcePath))
for f in files:
absF = sourcePath + '/'... |
3326339 | from pyspark.sql import DataFrame
from datafaucet.data import _Data
from datafaucet.spark import dataframe
class Data(_Data):
def collect(self, n=1000, axis=0):
res = self.df.select(self.columns).limit(n).toPandas()
return res.T if axis else res
def scd_analyze(self, merge_on=None, **kwargs)... |
3326359 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from siamban.core.config import cfg
from siamban.tracker.siamban_tracker import SiamBANTracker
TRACKS = {
'SiamBANTracker': SiamBANTracker
}
def bui... |
3326397 | from enumfields.drf.fields import EnumField as EnumSerializerField
from enumfields.fields import EnumFieldMixin
from rest_framework.fields import CharField, ChoiceField, IntegerField
class EnumSupportSerializerMixin:
enumfield_options = {}
enumfield_classes_to_replace = (ChoiceField, CharField, IntegerField)
... |
3326399 | class Solution:
def maximumProduct(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums.sort()
return max(nums[-1]*nums[-2]*nums[-3], nums[-1]*nums[0]*nums[1]) |
3326432 | class Option:
"""
Represents an option to add to a Command object
"""
def __init__(self, name: str, description: str, type: int, required: bool):
self.name = name
self.description = description
self.type = type
self.required = required
self.choices = []
... |
3326467 | import xlrd
# from paddlenlp.embeddings import TokenEmbedding
import paddlehub as hub
import numpy as np
concernKey1 = ['n', 'nr', 'nz', 'PER', 'ns', 'LOC', 's', 'nt', 'ORG', 'nw']
concernKey2 = ['v']
lac = hub.Module(name="lac")
# test_text = "还记得你之前跟我说，我能及格猪都能上树。可教练我拿到驾照了，猪不仅能上树还能上高速，我再给你来个倒车入库，压线了难受不？以前... |
3326473 | import fbuild.config.c as c
# ------------------------------------------------------------------------------
class readline_h(c.Test):
header = c.header_test('readline/readline.h')
|
3326486 | from registrasion.models import commerce
from registrasion.models import inventory
from django.db.models import Case
from django.db.models import F, Q
from django.db.models import Sum
from django.db.models import When
from django.db.models import Value
from .batch import BatchController
from operator import attrgett... |
3326516 | from contextlib import contextmanager
from multiprocessing.dummy import threading, Pool as ThreadPool
# ThreadLocal
_local = threading.local()
@contextmanager
def acquire(*args):
# 以id将锁进行排序
args = sorted(args, key=lambda x: id(x))
# 确保不违反以前获取的锁顺序
acquired = getattr(_local, 'acquired', [])
if ac... |
3326538 | from distutils.core import setup
setup(name='onnx2keras',
version='0.1',
py_modules=['onnx2keras'],
)
|
3326554 | import torch
from torch import nn
from torch.nn import functional as F
from lib.layers.wrappers import make_act, make_conv, make_norm
class PPM(nn.Module):
def __init__(self, dim_in, ppm_dim=512, pool_scales=(1, 2, 3, 6), **kwargs):
"""
:param dim_in: (int) input tensor channel
:param p... |
3326565 | import unittest
from tests.core import TestCore
from pyrep.sensors.gyroscope import Gyroscope
class TestGyroscope(TestCore):
def setUp(self):
super().setUp()
self.sensor = Gyroscope('gyroscope')
def test_read(self):
angular_velocities = self.sensor.read()
self.assertEqual(len... |
3326576 | from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from models.tools import load_data
# path
path_to_data = "data/"
path_to_submissions = "submissions/"
path_to_stacking = "stacking/"
path_to_plots = "plots/"
# tuned hyper-parameters
parameters = {
"criterion": ... |
3326581 | from fabric.api import *
@task
@roles('app_all')
def remove_original_settings_files(repo, site):
with settings(warn_only=True):
run("rm -R /var/www/%s/www/sites/%s/*.settings.php" % (repo, site))
print "===> Removed *.settings.php from initial autoscale app folders"
|
3326597 | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
from langdetect import detect_langs
def detect_language(text):
res = detect_langs(text)
md = "### Detected languages (probability):\n"
langs = []
for line in res:
lang = str(line).split(':')[0]
... |
3326643 | import os
from config import cfg
root = '/home/opt603a/gjy_netdisk/seg/cityscape dataset'
raw_img_path = os.path.join(root, 'leftImg8bit_trainvaltest/leftImg8bit')
raw_mask_path = os.path.join(root, 'gtFine_trainvaltest/gtFine')
processed_path = os.path.join(cfg.DATA.ROOT, 'City')
processed_train_path = os.path.join(p... |
3326648 | import numpy as np
import torch
from torch import nn
import sys
import util
class DataLoader(nn.Module):
"""Data loader module for training MCFlow
Args:
mode (int): Determines if we are loading training or testing data
seed (int): Used to determine the fold for cross validation experiments or r... |
3326653 | from bokeh.models import PolyDrawTool, PolyEditTool
from bokeh.plotting import figure, output_file, show
output_file("tools_poly_edit.html")
p = figure(x_range=(0, 10), y_range=(0, 10), width=400, height=400,
title='Poly Edit Tool')
p1 = p.patches([], [], fill_alpha=0.4)
p2 = p.patches([[1, 2, 3]], [[3, 5... |
3326678 | import pyorient.ogm.property
from .element import GraphElement
import pyorient.ogm.what
from .operators import LogicalConnective, ArithmeticOperation
class ArgConverter(object):
"""Convert query function argument to expected string format"""
Label = String = Format = 0
Expression = 1
Field = 2
Ve... |
3326685 | import tensorflow as tf
def cin_layer(x0, xk, hk_1, index):
"""
xdeepfm模型的Compressed Interaction Network部分
Args:
x0 (tensor): 原始输入tensor, shape=(batch, m, D)
xk (tensor): 上一CIN层输出tensor, shape=(batch, hk, D)
hk_1 (int): 本层输出维度, 也是feature map个数
index (int): 序号
Retur... |
3326709 | from .vit_tiny_patch16_224 import model
model.patch_size = 32
model.embed_dim = 768
model.num_heads = 12
|
3326771 | mc_version = "1.15.2"
mc_file_md5 = "1d87e7d75a99172f0cffc4f96cdc44da"
of_file_name = "1.15.2_HD_U_G1_pre15"
of_file_md5 = "0127f841a34f112b20889ccf81063adf"
of_build_md5 = "788146cce32fe9b23b4d3d9e12953388"
minecrift_version_num = "1.15.2"
minecrift_build = "jrbudda-3-b13"
of_file_extension = ".jar"
mcp_version = "mcp... |
3326787 | from modules.base import BaseModule, registerModule
from sources import *
from sources.base import SourceSelector, BaseSource
from utils.command import OptionParser
@registerModule
class RealUrl(BaseModule):
name = "RealUrl"
selector = SourceSelector(Wenku8TXT,
KakadmSource,
... |
3326801 | from typing import List
import pytest
from sqlalchemy.orm import Session
from app.enums.userenums import UserStatus
from app.models import usermodels
from app.service import userservice
from app.service.passwordservice import verify_password
from tests import common, factories
def test_create(db_session: Session):
... |
3326824 | import argparse
import json
import os
import random
import scipy.io
import codecs
import numpy as np
import cPickle as pickle
from collections import defaultdict
from nltk.tokenize import word_tokenize
import re
def gatherCandidates(params,nSamples=-1,skipSet = set()):
eval_names = {}
n_evals = params['n_evals']
... |
3326835 | import os.path as osp
from tqdm import tqdm
from copy import deepcopy
import torch
import dgl
from torch.utils.data import DataLoader, Dataset
from dgl import DGLGraph, NID
from dgl.dataloading.negative_sampler import Uniform
from dgl import add_self_loop
from utils import drnl_node_labeling
class GraphDataSet(Datase... |
3326843 | from sharpy.combat import MicroStep, Action
from sc2 import AbilityId
from sc2.unit import Unit
from sc2.units import Units
class MicroOverseers(MicroStep):
def group_solve_combat(self, units: Units, current_command: Action) -> Action:
return current_command
def unit_solve_combat(self, unit: Unit, cu... |
3326852 | import random
import time
import string
from client_app.pages.dataset_listing.dataset_listing_page import DatasetListingPage
from client_app.pages.project_listing.project_listing_page import ProjectListingPage
from selenium import webdriver
from tests.constants_enums.constants_enums import ProjectConstants
from client... |
3326879 | from typing import Optional
from keycloak_admin_aio._lib.utils import remove_none
from keycloak_admin_aio.types import GroupRepresentation
from .... import (
AttachedResources,
KeycloakResource,
KeycloakResourceWithIdentifierGetter,
)
from .by_id import UsersByIdGroupsById
class UsersByIdGroups(Keycloak... |
3326882 | from binascii import hexlify
from logging import getLogger
from struct import unpack
from sqlite_dissect.constants import FILE_TYPE
from sqlite_dissect.constants import LOGGER_NAME
from sqlite_dissect.constants import PAGE_TYPE
from sqlite_dissect.carving.carver import SignatureCarver
from sqlite_dissect.version_histor... |
3326920 | import pytest
from cloudvolume.lru import LRU
import time
import random
def test_lru():
lru = LRU(5)
assert len(lru) == 0
for i in range(5):
lru[i] = i
assert len(lru) == 5
for i in range(5):
lru[i] = i
for i in range(100):
lru[i] = i
assert len(lru) == 5
lru.resize(10)
for i in ra... |
3326927 | class Solution(object):
def containsNearbyAlmostDuplicate(self, nums, k, t):
"""
:type nums: List[int]
:type k: int
:type t: int
:rtype: bool
"""
if t < 0 or k == 0:
return False
cache = {}
for i in xrange(len(nums)):
k... |
3326980 | from enum import Enum
import json
from typing import Dict
from api.db.models.base import BaseSchema
class IssueCredentialProtocolType(str, Enum):
v10 = "v1.0"
v20 = "v2.0"
class CredentialType(str, Enum):
anoncreds = "anoncreds"
json_ld = "json_ld"
class CredentialRoleType(str, Enum):
issuer ... |
3327018 | import bson
import requests
import struct
import wav2letter
class w2l_engine:
def __init__(self, path=None):
if path is None:
path = os.path.join(os.path.dirname(__file__), 'w2l')
w2l_loader = wav2letter.W2lLoader(path)
self.model = w2l_loader.load()
def decode(self, sample... |
3327044 | import graphene
from django.core.exceptions import ValidationError
from ....core.permissions import OrderPermissions
from ....order import OrderStatus, models
from ....order.error_codes import OrderErrorCode
from ...core.types import OrderError
from ..types import Order
from .draft_order_create import DraftOrderCreate... |
3327065 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.morley import morley
def test_morley():
"""Test module morley.py by downloading
morley.csv and testing shape of
extracted data has 100 row... |
3327082 | from pychecker2.Check import Check
from pychecker2.util import BaseVisitor
from pychecker2.Warning import Warning
from compiler import ast, walk
from types import *
import re
class UnknownError(Exception): pass
def _compute_node(node, recurse):
if isinstance(node, ast.Add):
return recurse(node.left) + rec... |
3327087 | from simglucose.simulation.user_interface import simulate
from simglucose.controller.base import Controller, Action
class MyController(Controller):
def __init__(self, init_state):
self.init_state = init_state
self.state = init_state
def policy(self, observation, reward, done, **info):
... |
3327098 | from gitlabform.gitlab.projects import GitLabProjects
class GitLabProjectBadges(GitLabProjects):
def get_project_badges(self, project_and_group_name):
badges = self._make_requests_to_api(
"projects/%s/badges",
project_and_group_name,
expected_codes=200,
)
... |
3327118 | from IPython.display import display, HTML
from IPython.display import Markdown as md
import qgrid
DEFAULT_GRID_OPTIONS = dict(enableColumnReorder=True)
def dataframe(df, grid_options=None):
if grid_options is None:
grid_options = DEFAULT_GRID_OPTIONS
if len(df) == 0:
html = HTML(
... |
3327140 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import argparse
import os
import sys
from typing import List, Dict, Any
"""
Count connections between data types
"""
def count_contents(data_summary_folder, all_versions, all_years):
if all_versions and all_years:
FILE_PATH = 'all_cves... |
3327164 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
import time
from utils import *
SESS_CONF = tf.ConfigProto(allow_soft_placement=True)
SESS_CONF.gpu... |
3327179 | from collections import defaultdict, OrderedDict
class LFUCache:
def __init__(self, capacity: int):
self.rank = defaultdict(OrderedDict)
self.key_to_rank = dict()
self.capacity = capacity
def get(self, key: int) -> int:
if key not in self.key_to_rank: return -1
return... |
3327210 | def run(verbose=False):
from os import path
import pytest
args = [path.dirname(__file__)]
if verbose:
args.append('--verbose')
return pytest.main(args)
|
3327250 | import torch
from transformers import RobertaTokenizer, RobertaModel, RobertaConfig
from transformers.modeling_roberta import RobertaForSequenceClassification, RobertaClassificationHead
from experiment.bert_utils import BertWrapperModel
from experiment.qa.model import BaseModel
from torch import nn
class RobertaSigmo... |
3327265 | import torch
from .Lanczos import symeigLanczos
class DominantSymeig(torch.autograd.Function):
"""
Function primitive of dominant real symmetric eigensolver, where the matrix
is represented in normal form as a torch.Tensor.
input: A -- the real symmetric matrix A.
k -- number of Lan... |
3327273 | from json import loads, dumps, JSONEncodeException, JSONDecodeException
from proxy import ServiceProxy, JSONRPCException
|
3327299 | import pytest
try:
import submission
except ImportError:
pass
def test_passes():
"""This test should pass"""
assert submission.return_true()
def test_fails():
"""This test should fail"""
assert submission.return_false()
@pytest.mark.timeout(5)
def test_loops():
"""This test should time... |
3327337 | from os.path import dirname, join
_root = dirname(__file__)
_models_path = join(_root, "asdf")
ID2VEC = join(_models_path, "id2vec_1000.asdf")
DOCFREQ = join(_models_path, "docfreq_1000.asdf")
QUANTLEVELS = join(_models_path, "quant.asdf")
BOW = join(_models_path, "bow.asdf")
COOCC = join(_models_path, "coocc.asdf")
... |
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