id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
11537182 | from jinja2 import Environment, PackageLoader
from .. import constants
from . import utils
class HTMLLayout(object):
def __init__(self, template_path='templates/viz/layout.html.j2'):
self.srcdoc = None
self._env = Environment(
loader=PackageLoader('cartoframes', 'assets'),
... |
11537221 | import random
import os
from glob import glob
import numpy as np
from PIL import Image
import tensorflow as tf
from tensorflow.python.training.moving_averages import assign_moving_average
import tensorflow.contrib.layers as ly
from modeling.model import Model
from modeling.loss import Loss
from dataset.parse import par... |
11537223 | class Solution:
# def myPow(self, x, n):
# """
# :type x: float
# :type n: int
# :rtype: float
# """
# if n == 0:
# return 1
# temp = pow(x, n / 2)
# if n % 2 == 0:
# return temp * temp
# else:
# return temp ... |
11537244 | import os
from pages.event_page.fixtures.helpers.create_fixture import create_fixture
import pages.event_page.fixtures.helpers.components as components
# A event page with only a title
def title():
page_data = {
"imported_revision_id": None,
"live": False,
"parent": components.home(),
... |
11537260 | import numpy as np
from spikeinterface.core.job_tools import ChunkRecordingExecutor, _shared_job_kwargs_doc
from spikeinterface.toolkit import get_noise_levels, get_channel_distances
def localize_peaks(recording, peaks, method='center_of_mass',
local_radius_um=150, ms_before=0.3, ms_after=0.6,
... |
11537264 | import pytest
from code42cli.util import _PADDING_SIZE
from code42cli.util import does_user_agree
from code42cli.util import find_format_width
from code42cli.util import format_string_list_to_columns
from code42cli.util import get_url_parts
TEST_HEADER = {"key1": "Column 1", "key2": "Column 10", "key3": "Column 100"}... |
11537273 | from random import random
from dagster import graph, op
@op
def start():
return 1
@op
def unreliable(num: int) -> int:
failure_rate = 0.5
if random() < failure_rate:
raise Exception("blah")
return num
@op
def end(_num: int):
pass
@graph
def unreliable_job():
end(unreliable(star... |
11537282 | from django.db import models
from django.utils.text import slugify
class Ingredient(models.Model):
name = models.CharField(max_length=64, unique=True)
slug = models.SlugField(max_length=64, unique=True)
photo = models.URLField(max_length=255, null=True, blank=True)
measureValue = models.FloatField(nu... |
11537298 | from matplotlib import pyplot
from shapely.geometry import Point
from descartes import PolygonPatch
from figures import SIZE, BLUE, GRAY, set_limits
fig = pyplot.figure(1, figsize=SIZE, dpi=90)
a = Point(1, 1).buffer(1.5)
b = Point(2, 1).buffer(1.5)
# 1
ax = fig.add_subplot(121)
patch1 = PolygonPatch(a, fc=GRAY, e... |
11537344 | import unittest, os
from copy import copy
from ctypes import *
from comtypes.client import GetModule, CreateObject
from comtypes.partial import partial
# ./urlhist.tlb was downloaded somewhere from the internet (?)
GetModule(os.path.join(os.path.dirname(__file__), "urlhist.tlb"))
from comtypes.gen import url... |
11537360 | import unittest
from katas.kyu_7.string_ends_with import solution
class StringEndsWithTestCase(unittest.TestCase):
def test_true(self):
self.assertTrue(solution('abc', 'bc'))
def test_false(self):
self.assertFalse(solution('abc', 'd'))
|
11537391 | import json
none = "d3043820717d74d9a17694c176d39733"
# region EMR
class DeploymentAction:
"""
# Arguments
action_type: str
should_handle_all_batches: bool
draining_timeout: int
should_decrement_target_capacity: bool
"""
def __init__(
self,
action_type=none,
should_handle_all_batches=none,
draining_ti... |
11537399 | from alpha.platforms.huobi_usdt_swap.ws_utils import *
class WsMarket(WsUtils):
def __init__(self, host: str = None):
super(WsMarket, self).__init__("/linear-swap-ws", host)
def sub(self, data:dict, callback):
self._sub(json.dumps(data), callback)
def req(self, data:dict, callback):
... |
11537433 | import os
import wget
YEARS = [2017, 2016]
WEEKS = [i for i in range(1, 52)]
INDICES = ['VCI', 'TCI', 'VHI', 'SMN', 'SMT']
TEMPLATE = 'ftp://ftp.star.nesdis.noaa.gov/pub/corp/scsb/wguo/data/'\
'VHP_4km/geo_TIFF/VHP.G04.C07.{}.P{}{}.{}.{}.tif'
OUTPUT_DIRECTORY = 'data'
def file_type(index):
return 'SM' if in... |
11537493 | from des.models import DynamicEmailConfiguration
from django.contrib.auth.models import User, Group
from django.test import TestCase
from django.core import mail
from django.conf import settings
from django_datajsonar.models import Node
from series_tiempo_ar_api.libs.indexing.report.node_admins import GlobalAdmins, ... |
11537518 | from uuid import uuid4
import pdb
import os
from operator import itemgetter
from itertools import chain
from copy import deepcopy
import numpy as np
import pickle
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, \
GradientBoostingClassifier
from sklearn.linear_model import LogisticRegressi... |
11537577 | from django import template
from django.conf import settings
from django.utils import timezone
from datetime import timedelta
from urlparse import urljoin
from cabot.cabotapp.defs import TIMESTAMP_FORMAT
register = template.Library()
@register.simple_tag
def jenkins_human_url(jobname):
return urljoin(settings.J... |
11537582 | from ..service import Operation
from ..utils.exceptions import UknownValueError
class ConvertId(Operation):
"""ConvertId EWS Operation converts item and folder
identifiers between formats.
"""
RESULTS_KEY = '@Id'
ID_FORMATS = [
'EntryId',
'EwsId',
'EwsLegacyId',
'H... |
11537608 | import autokeras as ak
import tensorflow as tf
from tensorflow.keras.datasets import mnist
from tensorflow.keras.models import load_model
(x_train, y_train), (x_test, y_test) = mnist.load_data()
cls = ak.ImageClassifier()
cls.fit(x_train, y_train)
|
11537640 | def mosh_frames(frames):
for frame in frames:
if not frame:
continue
for row in frame:
for col in row:
# col contains the horizontal and vertical components of the vector
col[0] = 0
return frames
|
11537650 | import logging
from typing import List
import datetime
from django.conf import settings
from django.http import HttpResponse, JsonResponse
from django.utils.datastructures import MultiValueDictKeyError
from django.db import transaction
from django_q.tasks import async_task
from rest_framework.decorators import api_vie... |
11537679 | import unittest
from dojo import remove_white_spaces, get_square_root_of_length, get_matrix
class DojoTest(unittest.TestCase):
def test_remove_white_space_1(self):
self.assertEqual(remove_white_spaces(
'have a nice day'), "haveaniceday")
def test_remove_white_space_2(self):
self.a... |
11537746 | from lyrebird import application
from lyrebird.log import get_logger
from pathlib import Path
from copy import deepcopy
import imp
import traceback
import datetime
logger = get_logger()
class Reporter:
def __init__(self):
self.scripts = []
workspace = application.config.get('reporter.workspace'... |
11537771 | import pytest
from _pytest.outcomes import Skipped
from ..helpers import importorskip
def test_importorskip_local(monkeypatch):
"""Test ``importorskip`` run on local machine with non-existent module, which should skip."""
monkeypatch.delenv("ARVIZ_CI_MACHINE", raising=False)
with pytest.raises(S... |
11537775 | from django.contrib.auth.password_validation import MinimumLengthValidator
class StaffMinimumLengthValidator(MinimumLengthValidator):
def __init__(self, staff_min_length=14,
other_min_length=9):
self.staff_min_length = staff_min_length
self.other_min_lengt... |
11537781 | import logging
from datetime import datetime, timedelta
from typing import Tuple
import airflow
from airflow import DAG
from airflow.utils.dates import days_ago
from dbnd import parameter, pipeline, task
default_args = {
"owner": "airflow",
"depends_on_past": False,
"start_date": days_ago(2),
"ret... |
11537788 | from subprocess import call
import sys
from os import listdir
from os.path import isfile, join
# Schedule multiple conversions for the strecha-mvs dataset
#vers_to_run = [14,15,16,17,18,19,20]
#in_vers = [ 1, 1, 1, 1, 1, 1, 1]
vers_to_run = [21,22,23,24,25,26,27]
in_vers = [ 2, 2, 2, 2, 2, 2, 2]
for index i... |
11537796 | from collections import defaultdict
import json
from delorean import Delorean
from gryphon.lib.models.exchange import Balance
from gryphon.lib.money import Money
from gryphon.lib.models.event import Event
from gryphon.lib.models.exchange import Balance
def get_balance_time_series_from_audits(audits):
fiat_balan... |
11537812 | import unit_test_framework
class APIUnitTestUser(unit_test_framework.APIUnitTest):
uri = "/api/v1/user"
get_tests = [{"name": "Read local users"}]
post_tests = [
{
"name": "Create RSA internal CA",
"uri": "/api/v1/system/ca",
"payload": {
"method... |
11537863 | from injector import inject
from domain.connection.GetConnectionList.GetConnectionListMapping import GetConnectionListMapping
from domain.connection.GetConnectionList.GetConnectionListQuery import GetConnectionListQuery
from domain.connection.GetConnectionList.GetConnectionListResponse import GetConnectionListResponse
... |
11537895 | from config.extensions import db
from sqlalchemy.dialects.postgresql import JSONB
class Setting(db.Model):
id = db.Column(db.Integer, primary_key=True)
key = db.Column(db.Text(), nullable=False)
value = db.Column(JSONB, nullable=False)
def save(self, commit=True):
db.session.add(self)
... |
11537939 | import librosa
import numpy as np
from specAugment import spec_augment_tensorflow
from matplotlib import pyplot as plt
import random
import math
from scipy.fftpack import fft
## ok
def ArgumentAudio(y, sr,n_steps=3,rate=1.2):
"""Agument Audio feature
:param y: np.ndarray [shape=(n,)], real-valued the input si... |
11537959 | import os
from pyspark.ml import Pipeline, PipelineModel
from pyspark.ml.feature import HashingTF, RegexTokenizer, StopWordsRemover, IDF
from pyspark.sql import SparkSession
from pysparkling import *
from pysparkling.ml import ColumnPruner, H2OGBM, H2ODeepLearning, H2OAutoML, H2OXGBoost
# Initiate SparkSession
spark... |
11538012 | from dorna import Dorna
import json
import time
# creat Dorna object and connect to the robot
robot = Dorna()
robot.connect()
# home all the joints
robot.home(["j0", "j1", "j2", "j3"])
"""
move to j0 = 0, ..., j4 = 0
wait for the motion to be done, timeout = 1000 seconds
"""
result = robot.play({"command": "move", "... |
11538027 | from ._unselected import Unselected
from plotly.graph_objs.scattergl import unselected
from ._textfont import Textfont
from ._stream import Stream
from ._selected import Selected
from plotly.graph_objs.scattergl import selected
from ._marker import Marker
from plotly.graph_objs.scattergl import marker
from ._line impor... |
11538034 | class Solution:
def numMusicPlaylists(self, N: int, L: int, K: int) -> int:
dp = [[0]*(1 + N) for _ in range(1 + L)]
dp[0][0] = 1
MOD = 10 ** 9 + 7
for i in range(1, 1 + L):
for j in range(1, 1 + N):
# new song
dp[i][j] = dp[i - 1][j - 1] *... |
11538039 | from os import listdir
import os
import subprocess
import shutil
import sys
import tensorflow as tf
import pathlib
path = 'data'
config_name = 'data.yml'
with open(config_name, 'r') as file:
config = file.read()
run_dir = 'run'
from config import MODELS_DIR
model_dir = MODELS_DIR
pathlib.Path(model_dir).mkdir(pa... |
11538054 | from typing import *
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
from .math import normpdf, normcdf
def keep_variance(x, min_variance):
return x + min_variance
class AvgPool2d(nn.AvgPool2d):
def __init__(self, keep_variance_fn=None, **kw... |
11538073 | import torch
from torch import nn
from lib.nn import ResidualBlock, ResidualGatedBlock
from lib.stochastic import NormalStochasticBlock2d
class TopDownLayer(nn.Module):
"""
Top-down layer, including stochastic sampling, KL computation, and small
deterministic ResNet with upsampling.
The architecture... |
11538075 | class TestDirectory:
params = {
'test_create': [{
'data': [{
'name': 'directory',
'type': 'directory',
'config': {
'conf.spoolDir': '/home/test-directory-collector',
'conf.filePattern': '*.csv',
... |
11538077 | from __future__ import absolute_import, division, print_function
import sys
import random
from cctbx.development import random_structure
from cctbx.development import debug_utils
from cctbx import adptbx
from cctbx.array_family import flex
from iotbx import csv_utils
import libtbx
import libtbx.utils
from libtbx.te... |
11538088 | import unittest
from pathlib import Path
from unittest.mock import patch
from dbt_invoke import properties
from dbt_invoke.internal import _utils
from test import TestDbtInvoke
PARENT_DIR = Path(__file__).parent
DESCRIPTION = 'A fake test description.'
COL_TESTS = ['not_null']
class TestProperties(TestDbtInvoke):
... |
11538111 | import re
import base64
from ..ismitem import ISMItem
class ProtectionHeader(ISMItem):
def __init__(self, name: str):
super(ProtectionHeader, self).__init__(name)
self.SystemID = None # type: str
self.kid = bytes([0] * 16) # type: bytes
def generate(self):
'''
get kid ... |
11538126 | import asyncio
import betterproto
from betterproto.grpc.util.async_channel import AsyncChannel
from dataclasses import dataclass
import pytest
from typing import AsyncIterator
@dataclass
class Message(betterproto.Message):
body: str = betterproto.string_field(1)
@pytest.fixture
def expected_responses():
ret... |
11538138 | from django.test import TestCase, Client, override_settings, TransactionTestCase
from django.conf import settings
from django.urls import reverse
from io import BytesIO
from django.contrib.auth.models import User
from django.contrib.admin.sites import AdminSite
from django_q.models import OrmQ
import rest_framework.res... |
11538151 | import setuptools
from setuptools import setup,find_packages
import os
from fliscopt import __version__
with open("README.md", 'r') as f:
long_description = f.read()
setup(
name='fliscopt',
version=__version__,
description='Flight scheduling optimization using Genetic Algorithm variants and other algorith... |
11538158 | from flask_unchained.bundles.security.services import SecurityService as BaseSecurityService
class SecurityService(BaseSecurityService):
pass
|
11538197 | from .connection import SimulaQronConnection
from .socket import Socket
from .broadcast_channel import BroadcastChannel
|
11538203 | from ctflib import *
from pwn import *
io = remote('pwn.kosenctf.com', '8002')
io.recvline() # I encrypted my secret!!!
c = int(io.recvline())
io.recvline() # I encrypt your message ;)
pt1 = int('1'+'0'*382, 2)
io.sendline(str(pt1))
io.recvline()
c1 = int(io.recvline())
pt2 = pt1+1
io.sendline(str(pt2))
io.recvline... |
11538215 | import csv
import html
import sys
import wordfreq
if len(sys.argv) != 3:
print('Usage: python3 sort.py target-lang pairs.csv')
sys.exit(1)
targetLang = sys.argv[1]
pairsPath = sys.argv[2]
pairs = {}
with open(pairsPath, 'r', encoding='utf-8') as pairsFile:
reader = csv.reader(pairsFile, delimiter='\t')
... |
11538325 | import six
from py2swagger.plugins import Py2SwaggerPlugin, Py2SwaggerPluginException
from py2swagger.introspector import BaseDocstringIntrospector
from py2swagger.utils import OrderedDict, load_class
class SimplePlugin(Py2SwaggerPlugin):
summary = 'Plugin for all applications'
description = 'Parse schemas ... |
11538347 | import ztom
import csv
import json
import datetime
"""
This will save markets data and tickers and to tickers.csv and markets.json in
current folder. These files could be used as an offline data sources for ztom.
"""
# parameters
number_of_fetches = 10
exchange_id = "binance"
append_tickers = False
symbols_to_save... |
11538355 | import os
from src.domain.ErrorTypes import ErrorTypes
from src.utils.code_generation import SpecialRequirementHandlerForParameters
__types_requiring_special_handling={"object", "dict", "regex", "template", "code", "ALL"}
def handle_arguments(parameters, args):
parameter_string_code=[]
for param in paramete... |
11538385 | import sys
import logging
import copy
from datetime import datetime
from dateutil import parser
from croniter import croniter
from reconcile import queries
from reconcile.utils.ocm import OCMMap
from reconcile.utils.state import State
from reconcile.utils.data_structures import get_or_init
from reconcile.utils.semve... |
11538390 | import pytest
from tenable_io.api.networks import NetworkRequest, BulkAssignRequest
from tenable_io.api.models import Network, NetworkList, ScannerList
@pytest.mark.vcr()
def test_networks_list(client):
networks = client.networks_api.list()
assert isinstance(networks, NetworkList), u'The `list` method did no... |
11538401 | import os
import random
import shlex
import sys
import traceback
from os.path import abspath, dirname, exists as pexists
from pathlib import Path
import numpy as np
sys.dont_write_bytecode = True
if __name__ == '__main__' and __package__ is None:
parent_dir = dirname(dirname(abspath(__file__)))
sys.path.appe... |
11538437 | import os
import threading
import requests
import sqlite3
from datetime import datetime, timedelta
from threading import Lock, Timer
from plugin import *
class spacex_launches(plugin):
def __init__(self, bot):
super().__init__(bot)
self.db_name = self.bot.get_server_name()
os.makedirs(os.... |
11538445 | from functools import wraps
import json
import rpyc
from rpyc.core.protocol import Connection
class RpycUtil(object):
"""RpycUtil-Rpyc客户端工具"""
def __init__(self, host, port):
super(RpycUtil, self).__init__()
self.host = host
self.port = port
self.conn = None
def connect(s... |
11538455 | import textwrap
from storybro.play.settings import PlayerSettings
from storybro.stories.block import Block
from storybro.stories.story import Story
from storybro.story.utils import cut_trailing_sentence
class BlockFormatter:
def __init__(self, settings: PlayerSettings):
self.settings: PlayerSettings = se... |
11538459 | from django.urls import path
from newsletter_subscription.ajax_views import ajax_subscribe
from newsletter_subscription.views import form, resubscribe, subscribe
def newsletter_subscriptions_urlpatterns(**kwargs):
return [
path(
"",
form,
kwargs,
name="news... |
11538463 | from datetime import date, datetime
from dateutil.tz import tzoffset
from flask import request
from flask.json import JSONEncoder
def test_view_arg(api):
'''Should successfully serialize and parametrize path args
'''
@api.route('/<str_arg>/<int_arg>/<float_arg>/<bool_arg>/<date_arg>/<datetime_arg>')
... |
11538469 | from cv2blur import CV2Blur
from cv2nothing import CV2Nothing
from cv2add import CV2Add
from cv2multiply import CV2Multiply
from cv2gausblur import CV2GausBlur
from cv2copypaste import CV2CopyPaste
from cv2zero import CV2Zero
class CV2Selector(object):
def __init__(self):
self.selections = {"nothing": CV2... |
11538508 | import asyncio
from panini.app import App
from panini.middleware.reader_emulator_middleware import ReaderEmulatorMiddleware
from panini.middleware.writer_emulator_middleware import WriterEmulatorMiddleware
from panini.middleware.nats_timeout import NATSTimeoutMiddleware
app = App(service_name="publisher", host="127.0... |
11538541 | from bases import *
from taco_scrapi import *
from baseladvd import *
from usuarios_api import *
def main():
urltacos='http://taco-randomizer.herokuapp.com/'
urlUsers='https://randomuser.me/api/'
t=AppTaco()
u=AppUser()
db=basedatos()
for i in range(1, 51):
taquitos=AppTaco.ge... |
11538568 | PHENOTYPE_GROUPS = {
"HP:0001298": {"name": "Encephalopathy", "abbr": "ENC"},
"HP:0012759": {"name": "Neurodevelopmental abnormality", "abbr": "NDEV"},
"HP:0001250": {"name": "Seizures", "abbr": "EP"},
"HP:0100022": {"name": "Abnormality of movement", "abbr": "MOVE"},
"HP:0000707": {"name": "Neurolo... |
11538570 | import setup_django
from django.db import models
from api.models import WhiteListItem, BlackListItem
"""
Remove duplicates, keeping the one with greatest id
"""
def remove_duplicates(model, unique_fields):
duplicates = (model.objects.values(*unique_fields)
.annotate(max_id=models.Max('id'),
... |
11538579 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import pdb
class SoftmaxModel(nn.Module):
def __init__(self, D_in, D_out):
super(SoftmaxModel, self).__init__()
self.linear = nn.Linear(D_in, D_out)
self.D_in = D_in
self.D_out = D_out
def for... |
11538589 | from dfs import dfs
# Smaller graph used for dfs
start = {
"value": 0, "children": [
{"value": 1, "children": [
{"value": 3, "children": []},
{"value": 4, "children": []}
]}, {
"value": 2, "children": [
{"value": 5, "children": []},
... |
11538608 | import base64
import getopt
import glob
import io
import math
import os
import random
import re
import shutil
import sys
import tempfile
import time
import urllib
import zipfile
# import cupy
import cv2
import h5py
import moviepy
import moviepy.editor
import numpy
import scipy
import scipy.io
import torch
import torch... |
11538708 | import tensorflow as tf
import reader
import numpy as np
class_dim = 10
EPOCHS = 100
BATCH_SIZE = 32
init_model = None
model = tf.keras.models.Sequential([
tf.keras.applications.ResNet50V2(include_top=False, weights=None, input_shape=(128, None, 1)),
tf.keras.layers.ActivityRegularization(l2=0.5),
tf.kera... |
11538733 | import unittest
from datahub.utilities.urns.data_flow_urn import DataFlowUrn
from datahub.utilities.urns.data_job_urn import DataJobUrn
from datahub.utilities.urns.error import InvalidUrnError
class TestDataJobUrn(unittest.TestCase):
def test_parse_urn(self) -> None:
data_job_urn_str = (
"urn... |
11538751 | from quarkchain.utils import sha3_256
class Accumulator:
def __init__(self):
self.hlist = []
def append(self, data):
h = sha3_256(data)
for i in reversed(range(len(self.hlist))):
if self.hlist[i] is None:
self.hlist[i] = h
return
... |
11538768 | import eosapi
def dlbw(_from, _to, net, cpu):
args = {'from':_from,
'receiver':_to,
'stake_net_quantity':'%.4f EOS'%(net,),
'stake_cpu_quantity':'%.4f EOS'%(cpu,),
'transfer':False
}
eosapi.push_action('eosio', 'delegatebw', args, {_from:'active'})... |
11538770 | from django.db import models
# This table is responsible for mapping between group types for a Team/Project and event columns
# to add group keys
class GroupTypeMapping(models.Model):
class Meta:
constraints = [
models.UniqueConstraint(fields=["team", "group_type"], name="unique group types fo... |
11538825 | import os
# Pre any tests discovery, windows support for running unit tests in WCA.
# We do not want to run our code in Windows environment but we want be able to run tests on NT.
if os.name == 'nt':
import sys
from unittest import mock
# For some tests we require USER env set
os.environ['USER'] = 'ro... |
11538867 | import os
import json
import gensim
import datetime
import numpy as np
import pandas as pd
from collections import namedtuple
from collections import OrderedDict
from collections import defaultdict
from smart_open import smart_open
from gensim.models import doc2vec
from gensim.models.doc2vec import TaggedDocument
from... |
11538902 | import unittest
from organizer.repository import Repository
class TestRepository(unittest.TestCase):
def testQueryListReturnsNoneForNoMatches(self):
repository = Repository("fakedir")
theList = ["foo", "bar", "biz", "bat"]
self.assertEquals(None, repository._queryList("bilbo", theList))
... |
11538980 | import pyemma.msm as msm
import pyemma.plots as mplt
import helper
import numpy as np
def selectTPTSets(MSM_object, indexA, indexB):
""" Extract from the sets of the PCCA clustering the sets that will serve
as the extrems of the TPT
"""
PCCAsets = MSM_object.metastable_sets
SetA = PCCAsets[indexA]
... |
11538999 | expected_output = {
"03AA.BB00.0000.0200.0001": {
"interface": "Port-channel1",
"redundancy_mode": "all-active",
"df_wait_time": 3,
"split_horizon_label": 16,
"state": "Ready",
"encap_type": "mpls",
"ordinal": 1,
"core_isolation": "No",
"rd": {... |
11539046 | import torch
from torch.autograd import Variable, grad, gradcheck
from qmctorch.wavefunction.jastrows.distance import ElectronElectronDistance
import unittest
torch.set_default_tensor_type(torch.DoubleTensor)
def hess(out, pos):
# compute the jacobian
z = Variable(torch.ones(out.shape))
jacob = grad(out,... |
11539081 | SECRET_KEY = "fake-secret-key"
INSTALLED_APPS = [
"tests",
]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME": ":memory:",
}
}
MIDDLEWARE_CLASSES = []
KAWASEMI = {
"CHANNELS": {
"hipchat": {
"_backend": "kawasemi.backends.hipchat.HipChatCh... |
11539082 | import mechanize
url = "http://www.webscantest.com/business/access.php?serviceid="
attackNumber = 1
for i in range(5):
res = mechanize.urlopen(url+str(i))
content = res.read()
# check if the content is accessible
if content.find("You service") > 0:
print "Possible Direct Object Reference"
... |
11539096 | from django.conf import settings # noqa
from appconf import AppConf
class SymposionAppConf(AppConf):
VOTE_THRESHOLD = 3
|
11539119 | from .abstract import Module, MultiSingleInputModule, MultiMultiInputModule
from .. import utils
__all__ = ['Activation', 'Sum', 'SequentialSum', 'ConcurrentSum']
@utils.add_simple_repr
@utils.no_dim_change_op
class Activation(Module):
"""
Applies a non-linear function to the incoming input.
Parameters
... |
11539131 | from HTMLParser import HTMLParser
from flask.ext.restful import fields
class HTMLStripper(HTMLParser):
def __init__(self):
self.reset()
self.fed = []
def handle_data(self, d):
self.fed.append(d)
def get_data(self):
return ''.join(self.fed)
def strip_tags(html):
s = ... |
11539132 | from statsmodels.tsa.vector_ar.vecm import coint_johansen
from statsmodels.tsa.stattools import adfuller
from statsmodels.tsa.api import VAR
import statsmodels.api as sm
import copy
import pingouin
from scipy.stats import pearsonr
p_val = .05
def adfuller_df(df, maxlag, regression = "c"):
dct = {}
for key, v... |
11539141 | class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
if not matrix:
return False
m, n = len(matrix), len(matrix[0])
i, j = 0, n - 1
while -1 < i < m and -1 < j < n:
tmp = matrix[i][j]
if tmp == target:
... |
11539181 | from nanopore.analyses.abstractAnalysis import AbstractAnalysis
from jobTree.src.bioio import fastqRead, fastaRead, system
from nanopore.analyses.utils import samIterator, getFastaDictionary, UniqueList
import pysam, os, itertools
from collections import Counter
from math import log
class IndelKmerAnalysis(AbstractAna... |
11539200 | from asyncpraw.util import camel_to_snake, snake_case_keys
from .. import UnitTest
class TestSnake(UnitTest):
def test_camel_to_snake(self):
test_strings = (
("camelCase", "camel_case"),
("PascalCase", "pascal_case"),
("camelCasePlace", "camel_case_place"),
... |
11539207 | import tarfile
import pytest
from ..exception import StdErrException
from . import BaseTestCase
class TestCase(BaseTestCase):
def test_notarfile(self):
self.createfile('foo', size=100)
with pytest.raises(StdErrException):
self.runcommandline('tar -tf foo')
def test_tar(self):
... |
11539228 | from setuptools import setup
from os import path
from pyungo import __version__
HERE = path.abspath(path.dirname(__file__))
with open(path.join(HERE, "README.rst")) as f:
README = f.read()
setup(
name="pyungo",
version=__version__,
description="Function dependencies resolution and execution",
... |
11539240 | import logging
import time
from decimal import Decimal
from watchmen.common.utils.data_utils import get_id_name_by_datasource
from watchmen.database.datasource.container import data_source_container
from watchmen.pipeline.core.action.utils import update_retry_callback, update_recovery_callback
from watchmen.pipeline.c... |
11539251 | import tfnn
from tfnn.preprocessing.shuffle import shuffle
def train_test_split(data, train_rate=0.7, randomly=True):
data_copy = data.copy()
_n_train_samples = int(data.n_samples * train_rate)
if randomly:
data_copy = shuffle(data_copy)
train_data_data = data_copy.data[:_n_train_samples, :]
... |
11539255 | import os
import pytest
from pyspark import SparkConf, SparkContext
from sagemaker_pyspark import classpath_jars
from sagemaker_pyspark.S3Resources import S3DataPath
@pytest.fixture(autouse=True)
def with_spark_context():
os.environ['SPARK_CLASSPATH'] = ":".join(classpath_jars())
conf = (SparkConf()
... |
11539267 | from Common import psteff
import sys
import collections
import operator
import cPickle
import logging
logger = logging.getLogger(__name__)
logger.setLevel(level=logging.INFO)
def get_query_to_clst(cluster_map):
q_to_c = {}
# Here we assign a cluster
# to each query by a dictionary q_to_c
for cl... |
11539334 | import torch
from torchvision import datasets
from torchvision import transforms
from typing import List, Tuple
from datasets import utils
# Transformations
RC = transforms.RandomCrop(32, padding=4)
RHF = transforms.RandomHorizontalFlip()
RVF = transforms.RandomVerticalFlip()
NRM = transforms.Normalize((0.4914, 0.48... |
11539348 | import sys
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import transforms
import torchvision
""" Code for the components of the U-Net model is taken from:
https://github.com/milesial/Pytorch-UNet/blob/master/unet/unet_parts.py"""
class DoubleConv(nn.Modul... |
11539356 | from time import sleep
import boto3
import botocore
from botocore.client import Config
import click
def get_s3_client():
return boto3.client(
's3', 'us-east-1', config=Config(
s3={'addressing_style': 'path'}
)
)
def download_file_from_s3(key, bucket):
s3_client = get_s3_clien... |
11539385 | import theano.tensor as TT
import theano
#import util
import numpy as np
import pdb
#batch_size = 256
#leng = 10
#fea = 200
#v_fea = 1025
#nout = 512
#
#n_words = 4
#
#wt = theano.shared(util.random_matrix(fea, nout),name='wt')
#bt = theano.shared(util.random_vector(nout),name='bt')
#
#we = theano.shared(util.random_m... |
11539414 | from django.test import TestCase
class TestCertURL(TestCase):
def test_url_gives_200(self):
"""
The certificate view should receive a 200.
"""
response = self.client.get(
"/.well-known/pki-validation/BA7CD11C05866445FBFE053E2C1AAA8C.txt"
)
assert respons... |
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