id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
29310 | from haptyc import *
from base64 import b64encode, b64decode
import json
class TestLogic(Transform):
#
# test_h1: Decodes base64, fuzzes using random_insert, Re-encodes base64
# Number of tests: 50
#
@ApplyIteration(50)
def test_h1(self, data, state):
data = b64decode(data)
... |
29327 | import numpy as np
import tensorflow as tf
import tensorflow.contrib.slim as slim
class Generator:
def __init__(self, learning_rate=1e-4, num_blocks=6):
self.learning_rate = learning_rate
self.num_blocks = num_blocks
def pelu(self, x):
with tf.variable_scope(x.op.name + '_activation', initializer=tf.c... |
29329 | from vcs import vtk_ui
from vcs.colorpicker import ColorPicker
from vcs.vtk_ui import behaviors
from vcs.VCS_validation_functions import checkMarker
import vtk
import vcs.vcs2vtk
from . import priority
import sys
class MarkerEditor(
behaviors.ClickableMixin, behaviors.DraggableMixin, priority.PriorityEditor):... |
29330 | from functools import wraps
from typing import Any, Callable, TypeVar, cast
from grpc import Call, RpcError
from grpc.aio import AioRpcError
from .exceptions import AioRequestError, RequestError
from .logging import get_metadata_from_aio_error, get_metadata_from_call, log_error
TFunc = TypeVar("TFunc", bound=Callabl... |
29346 | from spotdl import handle
from spotdl import const
from spotdl import downloader
import os
import sys
const.args = handle.get_arguments(to_group=True)
track = downloader.Downloader(raw_song=const.args.song[0])
track_title = track.refine_songname(track.content.title)
track_filename = track_title + const.args.output_... |
29397 | import torch
from torch.distributions import Uniform
from rl_sandbox.constants import CPU
class UniformPrior:
def __init__(self, low, high, device=torch.device(CPU)):
self.device = device
self.dist = Uniform(low=low, high=high)
def sample(self, num_samples):
return self.dist.rsample... |
29426 | def countWord(word):
count = 0
with open('test.txt') as file:
for line in file:
if word in line:
count += line.count(word)
return count
word = input('Enter word: ')
count = countWord(word)
print(word, '- occurence: ', count) |
29439 | import json
import pickle
import re
from copy import copy, deepcopy
from functools import lru_cache
from json import JSONDecodeError
from os import system, walk, sep
from abc import ABC, abstractmethod
from pathlib import Path
import time
from subprocess import check_output
from tempfile import NamedTemporaryFile
from ... |
29489 | import random
def get_random_bag():
"""Returns a bag with unique pieces. (Bag randomizer)"""
random_shapes = list(SHAPES)
random.shuffle(random_shapes)
return [Piece(0, 0, shape) for shape in random_shapes]
class Shape:
def __init__(self, code, blueprints):
self.code = code
self.... |
29501 | import math
import sys
from fractions import Fraction
from random import uniform, randint
import decimal as dec
def log10_floor(f):
b, k = 1, -1
while b <= f:
b *= 10
k += 1
return k
def log10_ceil(f):
b, k = 1, 0
while b < f:
b *= 10
k += 1
return k
def log10_... |
29507 | import glob
import matplotlib.pyplot as plt
import numpy as np
import sys
plt.ion()
data_files = list(glob.glob(sys.argv[1]+'/mnist_net_*_train.log'))
valid_data_files = list(glob.glob(sys.argv[1]+'/mnist_net_*_valid.log'))
for fname in data_files:
data = np.loadtxt(fname).reshape(-1, 3)
name = fname.split('/')[... |
29523 | import math
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as integrate
import pdb
import sys
from ilqr.vehicle_model import Model
from ilqr.local_planner import LocalPlanner
from ilqr.constraints import Constraints
class iLQR():
def __init__(self, args, obstacle_bb, verbose=False):
... |
29556 | import matplotlib.pyplot as plt
import numpy as np
from gpar.regression import GPARRegressor
from wbml.experiment import WorkingDirectory
import wbml.plot
if __name__ == "__main__":
wd = WorkingDirectory("_experiments", "synthetic", seed=1)
# Create toy data set.
n = 200
x = np.linspace(0, 1, n)
n... |
29574 | import unittest
import io
from unittest import mock
from tests.lib.utils import INSPECT
from custom_image_cli.validation_tool import validation_helper
from custom_image_cli.validation_tool.validation_models.validation_models import \
ImageDetail, ImageManifest, EmrRelease
class TestValidationHelper(unittest.TestC... |
29599 | import importlib
import sys
import pituophis
# check if the user is running the script with the correct number of arguments
if len(sys.argv) < 2:
# if not, print the usage
print('usage: pituophis [command] cd [options]')
print('Commands:')
print(' serve [options]')
print(' fetch [url] [options]')... |
29642 | import ConfigParser
from datetime import datetime
import os
import sys
import numpy as np
import pandas as pd
import utils.counts
import utils.counts_deviation
__author__ = '<NAME>'
# This script finds the days with the greatest deviation from some reference value (such as hourly means or medians)
if __name__ == '_... |
29643 | from django.http import HttpResponse
class HttpResponseNoContent(HttpResponse):
status_code = 204
|
29648 | import tensorflow as tf
i = tf.compat.v1.constant(0, name="Hole")
c = lambda i: tf.compat.v1.less(i, 10)
b = lambda i: tf.compat.v1.add(i, 1)
r = tf.compat.v1.while_loop(c, b, [i], name="While")
|
29707 | import base64
import json
import os
import tempfile
import uuid
import zipfile
from io import BytesIO
import werkzeug
from flask import Blueprint, jsonify, request
from ..config import get_config
from ..dataset import convert_ndarray_to_image, import_csv_as_mdp_dataset
from ..models.dataset import Dataset, DatasetSch... |
29714 | from prefect import task, Flow, Parameter
from prefect.tasks.prefect import StartFlowRun
from prefect.storage import GitHub
with Flow("token-test") as flow:
StartFlowRun(project_name="testing", flow_name="flow_must_fail")()
flow.storage = GitHub(repo="kvnkho/demos", path="/prefect/token_test.py")
flow.register("t... |
29725 | import numpy as np
from scipy import stats
import pandas as pd
from sklearn.cross_decomposition import PLSRegression
def standardize_vector(v, center=True, scale=False):
if center:
v = v - np.mean(v)
if scale:
if np.std(v) == 0:
return v
else:
return (v + 0.0)... |
29732 | import os
import sys
import os.path as osp
from contextlib import contextmanager
############################################################
# Setup path
def add_path(path):
if path not in sys.path:
sys.path.insert(0, path)
curdir = osp.dirname(__file__)
lib_path = osp.join(curdir, '..', 'lib')
add_... |
29750 | from tkinter.commondialog import Dialog
ERROR = 'error'
INFO = 'info'
QUESTION = 'question'
WARNING = 'warning'
ABORTRETRYIGNORE = 'abortretryignore'
OK = 'ok'
OKCANCEL = 'okcancel'
RETRYCANCEL = 'retrycancel'
YESNO = 'yesno'
YESNOCANCEL = 'yesnocancel'
ABORT = 'abort'
RETRY = 'retry'
IGNORE = 'ignore'
OK = 'ok'
CANCEL... |
29760 | from django.conf.urls.defaults import patterns, include, url
from django.contrib import admin
from board.feeds import EventFeed
from board.views import IndexView, ServiceView
admin.autodiscover()
urlpatterns = patterns('',
url(r'^$', IndexView.as_view(), name='index'),
url(r'^services/(?P<slug>[-\w]+)$', Serv... |
29767 | from __future__ import (
annotations,
)
import logging
import warnings
from pathlib import (
Path,
)
from typing import (
TYPE_CHECKING,
Optional,
Type,
TypeVar,
Union,
)
from .object import (
Object,
)
if TYPE_CHECKING:
from .config import (
Config,
)
logger = loggin... |
29769 | from optparse import OptionParser
import yaml
import cwrap_parser
import nn_parse
import native_parse
import preprocess_declarations
import function_wrapper
import dispatch_macros
import copy_wrapper
from code_template import CodeTemplate
parser = OptionParser()
parser.add_option('-s', '--source-path', help='path t... |
29815 | from configargparse import ArgParser
from PIL import Image
import logging
import numpy as np
import os
def transform_and_save(img_arr, output_filename):
"""
Takes an image and optionally transforms it and then writes it out to output_filename
"""
img = Image.fromarray(img_arr)
img.save(output_file... |
29816 | import os
import json
import boto3
def handler(event, context):
table = os.environ.get('table')
dynamodb = boto3.client('dynamodb')
item = {
"name":{'S':event["queryStringParameters"]["name"]},
"location":{'S':event["queryStringParameters"]["location"]},
"age":{'S':even... |
29825 | import os
from starlette.applications import Starlette
from starlette.responses import PlainTextResponse, Response
from starlette.testclient import TestClient
from apistar.client import Client, decoders
app = Starlette()
@app.route("/text-response/")
def text_response(request):
return PlainTextResponse("hello,... |
29891 | import numpy as np
import math
from scipy.optimize import minimize
class Optimize():
def __init__(self):
self.c_rad2deg = 180.0 / np.pi
self.c_deg2rad = np.pi / 180.0
def isRotationMatrix(self, R) :
Rt = np.transpose(R)
shouldBeIdentity = np.dot(Rt, R)
I = np.id... |
29898 | from django.apps import AppConfig
class AldrynSearchConfig(AppConfig):
name = 'aldryn_search'
def ready(self):
from . import conf # noqa
|
29941 | class Solution:
def getFormattedEMail(self, email):
userName, domain = email.split('@')
if '+' in userName:
userName = userName.split('+')[0]
if '.' in userName:
userName = ''.join(userName.split('.'))
return userName + '@' + domain
def numUniqueEmail... |
29945 | class SendResult:
def __init__(self, result={}):
self.successful = result.get('code', None) == '200'
self.message_id = result.get('message_id', None)
|
29948 | from .GlobalData import global_data
from .utils.oc import oc
import requests
import time
import logging
class App:
def __init__(self, deployment, project, template, build_config,route=""):
self.project = project
self.template = template
self.deployment = deployment
self.build_conf... |
29963 | import requests_cache
import os.path
import tempfile
try:
from requests_cache import remove_expired_responses
except ModuleNotFoundError:
from requests_cache.core import remove_expired_responses
def caching(
cache=False,
name=None,
backend="sqlite",
expire_after=86400,
allowable_codes=(200... |
29965 | import os, sys
exp_id=[
"exp1.0",
]
env_source=[
"file",
]
exp_mode = [
"continuous",
#"newb",
#"base",
]
num_theories_init=[
4,
]
pred_nets_neurons=[
8,
]
pred_nets_activation=[
"linear",
# "leakyRelu",
]
domain_net_neurons=[
8,
]
domain_pred_mode=[
"onehot",
]
mse_amp=[
1e-7,
]
simplify_criteria=[
'\("DLs",... |
29991 | import sys
if len(sys.argv) != 4 :
print 'usage:', sys.argv[0], 'index_fn id_mapping_fn output_fn'
exit(9)
a = open(sys.argv[1])
a.readline()
header = a.readline()
dir = a.readline()
#build map: filename -> set of bad samples
mp = {}
mp_good = {}
mp_bad = {}
for line in a :
t = line.split()
mp[t[0]] = set()
... |
29994 | import tensorflow as tf
import numpy as np
import os
import time
from utils import random_batch, normalize, similarity, loss_cal, optim
from configuration import get_config
from tensorflow.contrib import rnn
config = get_config()
def train(path):
tf.reset_default_graph() # reset graph
# dra... |
30036 | from collections import OrderedDict
import numpy as np
from pandas import DataFrame
from sv import SVData, CorTiming
def loadSVDataFromBUGSDataset(filepath, logreturnforward, logreturnscale, dtfilepath=None):
dts = None
if dtfilepath is not None:
with open(dtfilepath) as f:
content = f.re... |
30042 | from __future__ import print_function
import struct
import copy
#this class handles different protocol versions
class RobotStateRT(object):
@staticmethod
def unpack(buf):
rs = RobotStateRT()
(plen, ptype) = struct.unpack_from("!IB", buf)
if plen == 756:
return RobotStateRT_V... |
30046 | import numpy as np
import math
import pickle
def get_data(data, frame_nos, dataset, topic, usernum, fps, milisec, width, height, view_width, view_height):
"""
Read and return the viewport data
"""
VIEW_PATH = '../../Viewport/'
view_info = pickle.load(open(VIEW_PATH + 'ds{}/viewport_ds{}_topic{}_user... |
30081 | import os
import os.path
import subprocess
import sys
if __name__ == "__main__":
dirname = sys.argv[1]
for x in os.listdir(dirname):
if x.endswith('.crt'):
try:
filename = os.path.join(dirname, x)
filehash = subprocess.check_output(['openssl', 'x509', '-noout... |
30134 | import time
import requests
from core.utils.parser import Parser
from core.utils.helpers import Helpers
from core.models.plugin import BasePlugin
class HIBP(BasePlugin):
def __init__(self, args):
self.args = args
self.base_url = "https://haveibeenpwned.com/api/v2/breachedaccount"
self.url... |
30189 | import tensorflow as tf
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras import models
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.vgg16 import preprocess_input
import numpy as np
import cv2
# prebuild model with pre-trained weights on imagene... |
30194 | import pandas as pd
import numpy as np
print(pd.__version__)
# 1.0.0
print(pd.DataFrame.agg is pd.DataFrame.aggregate)
# True
df = pd.DataFrame({'A': [0, 1, 2], 'B': [3, 4, 5]})
print(df)
# A B
# 0 0 3
# 1 1 4
# 2 2 5
print(df.agg(['sum', 'mean', 'min', 'max']))
# A B
# sum 3.0 12.0
# mean ... |
30209 | import os
import re
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
# Assign labels used in eep conversion
eep_params = dict(
age = 'Age (yrs)',
hydrogen_lum = 'L_H',
lum = 'Log L',
logg = 'Log g',
log_teff = 'Log T',
core_hydrogen_frac = 'X_core', # must be added
... |
30226 | from enum import Enum
class TradeStatus(Enum):
PENDING_ACCEPT = 0
PENDING_CONFIRM = 1
PENDING_CANCEL = 2
CANCELED = 3
CONFIRMED = 4
FAILED = 5
|
30238 | import filecmp
import os
import sys
import shutil
import subprocess
import time
import unittest
if (sys.version_info > (3, 0)):
import urllib.request, urllib.parse, urllib.error
else:
import urllib
from optparse import OptionParser
from PyQt4 import QtCore,QtGui
parser = OptionParser()
parser.add_option("-r",... |
30257 | from pyssian.chemistryutils import is_basis,is_method
import unittest
class ChemistryUtilsTest(unittest.TestCase):
def setUp(self):
self.Valid_Basis = '6-311+g(d,p) 6-31g* cc-pVTZ D95V* LanL2DZ SDD28 Def2SVP UGBS2P2++'.split()
self.Fake_Basis = '6-311g+(d,p) 6-31*g ccpVTZ D96V* LanL2TZ SDD Def2SP U... |
30267 | import logging
from django.apps import apps
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import Http404, HttpResponse, JsonResponse
from django.views.generic import TemplateView, View
from zentral.core.stores import frontend_store
logger = logging.getLogger("server.base.views")
class H... |
30280 | from haystack.forms import FacetedSearchForm
from haystack.query import SQ
from django import forms
from hs_core.discovery_parser import ParseSQ, MatchingBracketsNotFoundError, \
FieldNotRecognizedError, InequalityNotAllowedError, MalformedDateError
FACETS_TO_SHOW = ['creator', 'contributor', 'owner', 'content_typ... |
30281 | from typing import Any, Dict, List
import datetime
import pandas as pd
import plotly.express as px
import plotly.figure_factory as ff
import plotly.graph_objects as go
import streamlit as st
from fbprophet import Prophet
from fbprophet.plot import plot_plotly
from plotly.subplots import make_subplots
from streamlit_p... |
30303 | import logging
import pytest
from tests.common.utilities import wait_until
from utils import get_crm_resources, check_queue_status, sleep_to_wait
CRM_POLLING_INTERVAL = 1
CRM_DEFAULT_POLL_INTERVAL = 300
MAX_WAIT_TIME = 120
logger = logging.getLogger(__name__)
@pytest.fixture(scope='module')
def get_function_conple... |
30322 | import argparse
import logging
from pathlib import Path
import dask
import h5py
import joblib
import numpy as np
import pandas as pd
from dask.diagnostics import ProgressBar
from tqdm import tqdm
from dsconcept.get_metrics import (
get_cat_inds,
get_synth_preds,
load_category_models,
load_concept_mode... |
30356 | import yaml
from javaSerializationTools import JavaString, JavaField, JavaObject, JavaEndBlock
from javaSerializationTools import ObjectRead
from javaSerializationTools import ObjectWrite
if __name__ == '__main__':
with open("../files/7u21.ser", "rb") as f:
a = ObjectRead(f)
obj = a.readContent()... |
30425 | from base import job_desc_pb2
from base import task_desc_pb2
from base import reference_desc_pb2
from google.protobuf import text_format
import httplib, urllib, re, sys, random
import binascii
import time
import shlex
def add_worker_task(job_name, task, binary, args, worker_id, num_workers, extra_args):
task.uid = 0... |
30448 | from tastypie.api import Api
from encuestas.api.user import UserResource
from encuestas.api.encuesta import EncuestaResource
from encuestas.api.grupo import GrupoResource
from encuestas.api.pregunta import PreguntaResource
from encuestas.api.opcion import OpcionResource
from encuestas.api.link import LinkResource
from ... |
30469 | description = 'setup for the status monitor'
group = 'special'
_expcolumn = Column(
Block('Experiment', [
BlockRow(
# Field(name='Proposal', key='exp/proposal', width=7),
# Field(name='Title', key='exp/title', width=20,
# istext=True, maxlen=20),
Field(name... |
30476 | import base64
import datetime
import io
import json
import traceback
import aiohttp
import discord
import pytimeparse
from data.services.guild_service import guild_service
from discord.commands import Option, slash_command, message_command, user_command
from discord.ext import commands
from discord.utils import forma... |
30493 | import os
import shutil
import subprocess
from possum.exc import PipenvPathNotFound
class PipenvWrapper:
def __init__(self):
self.pipenv_path = shutil.which('pipenv')
if not self.pipenv_path:
raise PipenvPathNotFound
# Force pipenv to ignore any currently active pipenv envir... |
30498 | class O(object): pass
class A(O): pass
class B(O): pass
class C(O): pass
class D(O): pass
class E(O): pass
class K1(A,B,C): pass
class K2(D,B,E): pass
class K3(D,A): pass
class Z(K1,K2,K3): pass
print K1.__mro__
print K2.__mro__
print K3.__mro__
print Z.__mro__
|
30507 | from django.conf import settings
from django.contrib.postgres.fields import JSONField
from django.db import models
from django.db.models import Q
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
TARGET_FKEY_ATTRS = dict(
null=True,
blank=True,
on_... |
30522 | import mimetypes
from django.contrib.staticfiles.storage import staticfiles_storage
from django.core import signing
from django.forms import widgets
from django.forms.utils import flatatt
from django.utils.safestring import mark_safe
from django.utils.html import format_html
from django.utils.translation import ugette... |
30565 | import datetime
import unittest
class KalmanFilterTest(unittest.TestCase):
def test_kalman_filter_with_prior_predict(self):
t0 = datetime.datetime(2014, 2, 12, 16, 18, 25, 204000)
print(t0)
self.assertEqual(1., 1.)
def test_kalman_filter_without_prior_predict(self... |
30595 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import os
from datasets import convert_data
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('data_type', None,
'The type of the dataset to convert, ne... |
30597 | import logging
import numpy as np
from bico.geometry.point import Point
from bico.nearest_neighbor.base import NearestNeighbor
from bico.utils.ClusteringFeature import ClusteringFeature
from datetime import datetime
from typing import Callable, TextIO, List
logger = logging.getLogger(__name__)
class BICONode:
de... |
30674 | from django.core.exceptions import SuspiciousOperation
from django.core.signing import Signer, BadSignature
from django.forms import HiddenInput
signer = Signer()
class SignedHiddenInput(HiddenInput):
def __init__(self, include_field_name=True, attrs=None):
self.include_field_name = include_field_name
... |
30690 | from typing import Union
from scipy.spatial.qhull import Delaunay
from shapely.geometry import LineString
from subsurface.structs.base_structures import StructuredData
import numpy as np
try:
import segyio
segyio_imported = True
except ImportError:
segyio_imported = False
def read_in_segy(filepath: str, ... |
30696 | from pylayers.gis.layout import *
from pylayers.antprop.signature import *
from pylayers.antprop.channel import *
import pylayers.signal.waveform as wvf
import networkx as nx
import numpy as np
import time
import logging
L = Layout('WHERE1_clean.ini')
#L = Layout('defstr2.ini')
try:
L.dumpr()
except:
L.build()... |
30718 | from .models import db, User
from m import Router
from m.utils import jsonify
router = Router(prefix='')
@router.route('/', methods=['POST'])
def home(ctx, request):
name = request.json().get('name')
user = User(name=name)
db.session.add(user)
try:
db.session.commit()
except Exception as ... |
30784 | import wallycore as wally
from . import exceptions
from gaservices.utils import h2b
wordlist_ = wally.bip39_get_wordlist('en')
wordlist = [wally.bip39_get_word(wordlist_, i) for i in range(2048)]
def seed_from_mnemonic(mnemonic_or_hex_seed):
"""Return seed, mnemonic given an input string
mnemonic_or_hex_se... |
30791 | from rest_framework import status
from rest_framework.exceptions import APIException
class FeatureStateVersionError(APIException):
status_code = status.HTTP_400_BAD_REQUEST
class FeatureStateVersionAlreadyExistsError(FeatureStateVersionError):
status_code = status.HTTP_400_BAD_REQUEST
def __init__(self... |
30793 | import numpy as np
import pandas as pd
import pytest
from etna.datasets import TSDataset
from etna.datasets import generate_ar_df
from etna.datasets import generate_const_df
from etna.datasets import generate_periodic_df
from etna.metrics import R2
from etna.models import LinearPerSegmentModel
from etna.transforms imp... |
30845 | from pygments.lexer import RegexLexer, include, words
from pygments.token import *
# https://docs.nvidia.com/cuda/parallel-thread-execution/index.html
class CustomLexer(RegexLexer):
string = r'"[^"]*?"'
followsym = r'[a-zA-Z0-9_$]*'
identifier = r'(?:[a-zA-Z]' + followsym + r'| [_$%]' + followsym + r')'
... |
30859 | singular = [
'this','as','is','thesis','hypothesis','less','obvious','us','yes','cos',
'always','perhaps','alias','plus','apropos',
'was','its','bus','his','is','us',
'this','thus','axis','bias','minus','basis',
'praxis','status','modulus','analysis',
'aparatus'
]
invariable = [ #frozen_li... |
30895 | from zerocopy import send_from
from socket import *
s = socket(AF_INET, SOCK_STREAM)
s.bind(('', 25000))
s.listen(1)
c,a = s.accept()
import numpy
a = numpy.arange(0.0, 50000000.0)
send_from(a, c)
c.close()
|
30937 | if __name__ == '__main__':
n = int(input())
s = set()
for i in range (n):
s.add(input())
print((len(s)))
|
30941 | import datetime
from flask_ldap3_login import LDAP3LoginManager, AuthenticationResponseStatus
from lost.settings import LOST_CONFIG, FLASK_DEBUG
from flask_jwt_extended import create_access_token, create_refresh_token
from lost.db.model import User as DBUser, Group
from lost.db import roles
class LoginManager():
de... |
30972 | def main():
a = ["a", 1, "5", 2.3, 1.2j]
some_condition = True
for x in a:
# If it's all isinstance, we can use a type switch
if isinstance(x, (str, float)):
print("String or float!")
elif isinstance(x, int):
print("Integer!")
else:
print("... |
31027 | import time
import os
from pykafka.test.kafka_instance import KafkaInstance, KafkaConnection
def get_cluster():
"""Gets a Kafka cluster for testing, using one already running is possible.
An already-running cluster is determined by environment variables:
BROKERS, ZOOKEEPER, KAFKA_BIN. This is used prim... |
31031 | import base64
from scapy.layers.inet import *
from scapy.layers.dns import *
import dissector
class SIPStartField(StrField):
"""
field class for handling sip start field
@attention: it inherets StrField from Scapy library
"""
holds_packets = 1
name = "SIPStartField"
def getfield(self, pk... |
31105 | import abc
import logging
from datetime import datetime
from .log_adapter import adapt_log
LOGGER = logging.getLogger(__name__)
class RunnerWrapper(abc.ABC):
""" Runner wrapper class """
log = adapt_log(LOGGER, 'RunnerWrapper')
def __init__(self, func_runner, runner_id, key, tracker, log_exception=Tru... |
31111 | import traceback
import copy
import gc
from ctypes import c_void_p
import itertools
import array
import math
import numpy as np
from OpenGL.GL import *
from PyEngine3D.Common import logger
from PyEngine3D.Utilities import Singleton, GetClassName, Attributes, Profiler
from PyEngine3D.OpenGLContext import OpenGLContex... |
31119 | from django.db import models
class BaseModel(models.Model):
class Meta:
abstract = True
def reload(self):
new_self = self.__class__.objects.get(pk=self.pk)
# Clear and update the old dict.
self.__dict__.clear()
self.__dict__.update(new_self.__dict__)
|
31122 | import io
import os
from svgutils import transform as svg_utils
import qrcode.image.svg
from cwa_qr import generate_qr_code, CwaEventDescription
class CwaPoster(object):
POSTER_PORTRAIT = 'portrait'
POSTER_LANDSCAPE = 'landscape'
TRANSLATIONS = {
POSTER_PORTRAIT: {
'file': 'poster/p... |
31160 | from contextlib import contextmanager
import torch
import torch.nn.functional as F
from torch.nn import Module, Parameter
from torch.nn import init
_WN_INIT_STDV = 0.05
_SMALL = 1e-10
_INIT_ENABLED = False
def is_init_enabled():
return _INIT_ENABLED
@contextmanager
def init_mode():
global _INIT_ENABLED
... |
31271 | import warnings
from dataclasses import dataclass
from typing import List, Optional
import torch
from falkon.utils.stream_utils import sync_current_stream
from falkon.mmv_ops.utils import _get_gpu_info, create_output_mat, _start_wait_processes
from falkon.options import FalkonOptions, BaseOptions
from falkon.utils i... |
31273 | import codecs
import sys
RAW_DATA = "../data/ptb/ptb.train.txt"
VOCAB = "data/ptb.vocab"
OUTPUT_DATA = "data/ptb.train"
# 读取词汇表并建立映射
with codecs.open(VOCAB, "r", "utf-8") as f_vocab:
vocab = [w.strip() for w in f_vocab.readlines()]
word_to_id = {k: v for (k, v) in zip(vocab, range(len(vocab)))}
# 如果出现了被删除的低频词，替换... |
31317 | from utils import *
car = get_car()
# Positive cases. Can't print the result because the address may change
# from run to run.
#
dbgscript.search_memory(car['name'].address-16, 100, b'FooCar', 1)
dbgscript.search_memory(car['name'].address-16, 100, b'FooCar', 2)
# Negative cases.
#
# 4 is not a multipl... |
31356 | from django.contrib import messages
from django.http import HttpResponseRedirect
from django.utils.functional import cached_property
from django.utils.translation import ugettext as _
from django.utils.translation import ugettext_noop, ugettext_lazy
from couchdbkit import ResourceNotFound
from memoized import memoized... |
31372 | import NLQ_Preprocessor as preProcessor
import NLP_Engine as nlpEngine
import NLQ_Interpreter as interpreter
import nltk
import time
class NLQ_Chunker:
def __init__(self):
self.preprocessor = preProcessor.PreProcessor()
self.nlp_engine = nlpEngine.NLP_Engine()
self.interpreter = interpre... |
31427 | import numpy as np
from pyquil import Program
from pyquil.api import QuantumComputer, get_qc
from grove.alpha.jordan_gradient.gradient_utils import (binary_float_to_decimal_float,
measurements_to_bf)
from grove.alpha.phaseestimation.phase_estimation import phase_... |
31428 | from torch import randn
from torch.nn import Conv2d
from backpack import extend
def data_conv2d(device="cpu"):
N, Cin, Hin, Win = 100, 10, 32, 32
Cout, KernelH, KernelW = 25, 5, 5
X = randn(N, Cin, Hin, Win, requires_grad=True, device=device)
module = extend(Conv2d(Cin, Cout, (KernelH, KernelW))).to... |
31460 | import os
import json
from contextlib import suppress
from OrderBook import *
from Signal import Signal
class OrderBookContainer:
def __init__(self, path_to_file):
self.order_books = []
self.trades = []
self.cur_directory = os.path.dirname(path_to_file)
self.f_name = ... |
31467 | import os
from biicode.common.model.brl.block_cell_name import BlockCellName
from biicode.common.model.bii_type import BiiType
def _binary_name(name):
return os.path.splitext(name.replace("/", "_"))[0]
class CPPTarget(object):
def __init__(self):
self.files = set() # The source files in this targe... |
31490 | from ._base import BaseWeight
from ..exceptions import NotFittedError
from ..utils.functions import mean_log_beta
import numpy as np
from scipy.special import loggamma
class PitmanYorProcess(BaseWeight):
def __init__(self, pyd=0, alpha=1, truncation_length=-1, rng=None):
super().__init__(rng=rng)
... |
31528 | import sys
if sys.version_info > (3,):
basestring = (str, bytes)
long = int
class DeprecatedCellMixin(object):
"""Deprecated Cell properties to preserve source compatibility with the 1.0.x releases."""
__slots__ = ()
@property
def r(self):
"""The row number of this cell.
..... |
31593 | import numpy as np
import os
import os.path as path
from keras.applications import vgg16, inception_v3, resnet50, mobilenet
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
import kmri
base_path = path.dirname(path.realpath(__file__))
img_path = path.join(base_path, 'i... |
31597 | import brownie
def test_set_minter_admin_only(accounts, token):
with brownie.reverts("dev: admin only"):
token.set_minter(accounts[2], {"from": accounts[1]})
def test_set_admin_admin_only(accounts, token):
with brownie.reverts("dev: admin only"):
token.set_admin(accounts[2], {"from": account... |
31602 | import numpy
from scipy.ndimage import gaussian_filter
from skimage.data import binary_blobs
from skimage.util import random_noise
from aydin.it.transforms.fixedpattern import FixedPatternTransform
def add_patterned_noise(image, n):
image = image.copy()
image *= 1 + 0.1 * (numpy.random.rand(n, n) - 0.5)
... |
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