text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = 'Franklyn'
from pandas import DataFrame
from collections import namedtuple
from Model import Model
import math
class House(Model):
"""House model defines the attributes and behaviours of a House
"""
DWELLING_TYPES = {'single-family', 'townhouse', 'apartment', 'patio', 'loft'}
POOL_TYPES ... | {
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__author__ = 'Franklyn'
from pandas import Series, DataFrame
import pandas as pd
class Model(Series):
"""Base Class of Models, Used to represent the structure of data and define behaviours.
This base class handles tasks that are common to all models such as serialization and saving objects in a collection
... | {
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"path": "src/Model.py",
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"has... |
__author__ = 'Franklyn'
from random import normalvariate, randint, randrange, sample
from datetime import date, timedelta
from House import House
NUM_LISTINGS = 10000
def generate_datum():
"""Returns a synthetic Listing in the Phoenix area"""
num_bedrooms = randint(1, 4)
num_bathrooms = randint(1, 4)
... | {
"repo_name": "damnMeddlingKid/opendoor",
"path": "src/Test.py",
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__author__ = 'frank'
from BaseObject import BaseObject
from Requestor import process_request
class Domain(BaseObject):
"""
Domain Object
:param name: Unique name for this Domain.
"""
def __init__(self, name):
super(Domain, self).__init__()
self.name = name
self.status ... | {
"repo_name": "netkicorp/python-partner-api-client",
"path": "netki/Domain.py",
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"co... |
__author__ = 'frank'
from Certificate import Certificate
from Domain import Domain
from Partner import Partner
from Requestor import process_request
from WalletName import WalletName
class Netki:
"""
General methods for interacting with Netki's Partner API.
:param partner_id: Your Partner ID available i... | {
"repo_name": "netkicorp/python-partner-client",
"path": "netki/NetkiClient.py",
"copies": "2",
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"... |
__author__ = 'frank'
from datetime import datetime
from OpenSSL import crypto
from BaseObject import BaseObject
from Requestor import process_request
class Certificate(BaseObject):
"""
Certificate Object
:param customer_data: Dictionary of customer data required for identity validation and certificate ... | {
"repo_name": "netkicorp/python-partner-client",
"path": "netki/Certificate.py",
"copies": "2",
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"... |
__author__ = 'frank'
from kvmagent import kvmagent
from kvmagent.plugins import vm_plugin
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils import sizeunit
from zstacklib.utils import linux
from zstacklib.utils... | {
"repo_name": "zstackorg/zstack-utility",
"path": "kvmagent/kvmagent/plugins/mevoco.py",
"copies": "1",
"size": "63789",
"license": "apache-2.0",
"hash": 2431228723350716000,
"line_mean": 38.9931034483,
"line_max": 156,
"alpha_frac": 0.5508943548,
"autogenerated": false,
"ratio": 3.29761166253101... |
__author__ = 'frank'
from kvmagent import kvmagent
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils import linux
from zstacklib.utils import iptables
from zstacklib.utils import ebtables
from zstacklib.utils i... | {
"repo_name": "zstackio/zstack-utility",
"path": "kvmagent/kvmagent/plugins/mevoco.py",
"copies": "1",
"size": "71687",
"license": "apache-2.0",
"hash": 4093645916786370600,
"line_mean": 39.6388888889,
"line_max": 159,
"alpha_frac": 0.5513691464,
"autogenerated": false,
"ratio": 3.310719068951184... |
__author__ = 'frank'
from mock import patch
from unittest import TestCase
from Domain import Domain
class TestInit(TestCase):
def test_init(self):
domain = Domain('domain_name')
self.assertEqual('domain_name', domain.name)
self.assertIsNone(domain.netki_client)
self.assertIsNone... | {
"repo_name": "netkicorp/python-partner-api-client",
"path": "netki/test_Domain.py",
"copies": "2",
"size": "3580",
"license": "bsd-3-clause",
"hash": -4183317648785843700,
"line_mean": 37.9130434783,
"line_max": 123,
"alpha_frac": 0.698603352,
"autogenerated": false,
"ratio": 3.816631130063966,
... |
__author__ = 'frank'
from netki.NetkiClient import Netki
if __name__ == '__main__':
api_base = 'https://api.netki.com'
########################
# Wallet Name Examples #
########################
api_key = 'netki_XXXXXXXXXXXXXXXXXXXXXXXXX'
partner_id = 'XXXXXXXXXXXXXXXXXXXXXXXXX'
# Access... | {
"repo_name": "netkicorp/python-partner-api-client",
"path": "example/example.py",
"copies": "2",
"size": "4908",
"license": "bsd-3-clause",
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"autogenerated": false,
"ratio": 3.760919540229885,
... |
__author__ = 'Frank'
from Tkinter import *
import tkFont
from PIL import ImageTk, Image
import random
import tracker
import Leap
controller = Leap.Controller()
controller.set_policy(Leap.Controller.POLICY_BACKGROUND_FRAMES)
window = Tk()
window.title("pyDuctor")
window.geometry('600x600+50+50')
photoimage = ImageTk... | {
"repo_name": "orensxhagolli/pyDuctor",
"path": "scripts/window.py",
"copies": "4",
"size": "1433",
"license": "mit",
"hash": -3578533492669926000,
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"alpha_frac": 0.712491277,
"autogenerated": false,
"ratio": 2.7771317829457365,
"config_test": false,
... |
__author__ = 'frank'
from virtualrouter import virtualrouter
from zstacklib.utils import http
from zstacklib.utils import jsonobject
from zstacklib.utils import linux
from zstacklib.utils import log
from zstacklib.utils import lock
import zstacklib.utils.iptables as iptables
from zstacklib.utils.rollback import rollba... | {
"repo_name": "zstackorg/zstack-utility",
"path": "virtualrouter/virtualrouter/plugins/lb.py",
"copies": "2",
"size": "4896",
"license": "apache-2.0",
"hash": -2775283114640917500,
"line_mean": 32.0810810811,
"line_max": 159,
"alpha_frac": 0.6013071895,
"autogenerated": false,
"ratio": 3.39293139... |
__author__ = 'frank'
from zstacklib.utils import plugin
from zstacklib.utils import log
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import shell
from zstacklib.utils import linux
from zstacklib.utils import lock
from zstacklib.utils import qemu_img
import cherrypy
from ... | {
"repo_name": "zstackio/zstack-utility",
"path": "iscsifilesystemagent/iscsifilesystemagent/plugins/btrfs.py",
"copies": "1",
"size": "14062",
"license": "apache-2.0",
"hash": 766383969145627000,
"line_mean": 37.6318681319,
"line_max": 172,
"alpha_frac": 0.6461385294,
"autogenerated": false,
"rat... |
__author__ = 'frank'
import hashlib
import json
import requests
from attrdict import AttrDict
from ecdsa import SigningKey
from ecdsa.util import sigencode_der
def process_request(netki_client, uri, method, data=''):
"""
API request processor handling supported API methods and error messages returned from AP... | {
"repo_name": "netkicorp/python-partner-api-client",
"path": "netki/Requestor.py",
"copies": "2",
"size": "3001",
"license": "bsd-3-clause",
"hash": -3773603848874107000,
"line_mean": 32.3444444444,
"line_max": 134,
"alpha_frac": 0.6274575142,
"autogenerated": false,
"ratio": 3.779596977329975,
... |
__author__ = 'frank'
import json
from BaseObject import BaseObject
from Requestor import process_request
class WalletName(BaseObject):
"""
Wallet Name object
:param domain_name: Domain name that Wallet Name should be associated with.
:param name: Unique name for this Wallet Name prefixed to your do... | {
"repo_name": "netkicorp/python-partner-client",
"path": "netki/WalletName.py",
"copies": "2",
"size": "4099",
"license": "bsd-3-clause",
"hash": -8327746069354813000,
"line_mean": 32.325203252,
"line_max": 115,
"alpha_frac": 0.575750183,
"autogenerated": false,
"ratio": 4.178389398572885,
"con... |
__author__ = 'frank'
import os
import os.path
import pprint
import re
import traceback
import urllib2
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.jsonobject as jsonobject
from zstacklib.utils import lock
from zstacklib.utils import linux
from zstacklib.utils impo... | {
"repo_name": "live4thee/zstack-utility",
"path": "cephbackupstorage/cephbackupstorage/cephagent.py",
"copies": "1",
"size": "33834",
"license": "apache-2.0",
"hash": 1093387686273422600,
"line_mean": 35.7361563518,
"line_max": 311,
"alpha_frac": 0.5794762665,
"autogenerated": false,
"ratio": 3.6... |
__author__ = 'frank'
import os
import os.path
import pprint
import shutil
import socket
import fcntl
import struct
import hashlib
import traceback
import simplejson
from jinja2 import Template
from netaddr import IPNetwork, IPAddress
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import z... | {
"repo_name": "zstackorg/zstack-utility",
"path": "baremetalpxeserver/baremetalpxeserver/pxeserveragent.py",
"copies": "1",
"size": "46212",
"license": "apache-2.0",
"hash": 779005785887440900,
"line_mean": 41.0491355778,
"line_max": 190,
"alpha_frac": 0.635873799,
"autogenerated": false,
"ratio"... |
__author__ = 'frank'
import os
import os.path
import pprint
import traceback
import urllib2
import urlparse
import tempfile
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.jsonobject as jsonobject
from zstacklib.utils import lock
from zstacklib.utils import linux
fro... | {
"repo_name": "zstackio/zstack-utility",
"path": "cephbackupstorage/cephbackupstorage/cephagent.py",
"copies": "1",
"size": "39258",
"license": "apache-2.0",
"hash": 2755221944658208300,
"line_mean": 36.1409649953,
"line_max": 194,
"alpha_frac": 0.5793723572,
"autogenerated": false,
"ratio": 3.62... |
__author__ = 'frank'
import os
import os.path
import pprint
import traceback
import urllib2
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.jsonobject as jsonobject
from zstacklib.utils import log
from zstacklib.utils.bash import *
from zstacklib.utils.report import ... | {
"repo_name": "mrwangxc/zstack-utility",
"path": "cephbackupstorage/cephbackupstorage/cephagent.py",
"copies": "1",
"size": "20717",
"license": "apache-2.0",
"hash": 115270974809047710,
"line_mean": 37.2232472325,
"line_max": 144,
"alpha_frac": 0.5729111358,
"autogenerated": false,
"ratio": 3.681... |
__author__ = 'frank'
import os.path
import traceback
import zstacklib.utils.uuidhelper as uuidhelper
from kvmagent import kvmagent
from kvmagent.plugins.imagestore import ImageStoreClient
from zstacklib.utils import jsonobject
from zstacklib.utils import linux
from zstacklib.utils import shell
from zstacklib.utils.ba... | {
"repo_name": "zstackorg/zstack-utility",
"path": "kvmagent/kvmagent/plugins/localstorage.py",
"copies": "1",
"size": "29635",
"license": "apache-2.0",
"hash": -138343237059687120,
"line_mean": 39.595890411,
"line_max": 235,
"alpha_frac": 0.6350936393,
"autogenerated": false,
"ratio": 3.609622411... |
__author__ = 'frank'
import pprint
import traceback
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.jsonobject as jsonobject
import zstacklib.utils.linux as linux
import zstacklib.utils.lock as lock
import zstacklib.utils.sizeunit as sizeunit
from zstacklib.utils imp... | {
"repo_name": "mrwangxc/zstack-utility",
"path": "cephprimarystorage/cephprimarystorage/cephagent.py",
"copies": "1",
"size": "21508",
"license": "apache-2.0",
"hash": 2991721238334206500,
"line_mean": 34.2590163934,
"line_max": 135,
"alpha_frac": 0.5985214804,
"autogenerated": false,
"ratio": 3.... |
__author__ = 'Frank'
import pycurl
import json
from datetime import datetime, timezone, timedelta
import random
import threading
try:
# python 3
from urllib.parse import urlencode
except ImportError:
# python 2
from urllib import urlencode
#curl -X PUT --header "Content-Type: application/json" --he... | {
"repo_name": "frankfarrell/SNOWBALL-MAGIC-19851014",
"path": "PerfTest.py",
"copies": "1",
"size": "1929",
"license": "apache-2.0",
"hash": 5933992625803020000,
"line_mean": 28.2272727273,
"line_max": 96,
"alpha_frac": 0.6423017107,
"autogenerated": false,
"ratio": 3.2096505823627286,
"config_... |
__author__ = 'frank'
import threading
import functools
import traceback
import log
logger = log.get_logger(__name__)
tlocal = threading.local()
tlocal.rollback_structs = []
def rollbackable(func):
@functools.wraps(func)
def wrap(*args, **kwargs):
if not hasattr(tlocal, 'rollback_structs'):
... | {
"repo_name": "live4thee/zstack-utility",
"path": "zstacklib/zstacklib/utils/rollback.py",
"copies": "5",
"size": "1209",
"license": "apache-2.0",
"hash": -5469692117905640000,
"line_mean": 24.7234042553,
"line_max": 89,
"alpha_frac": 0.570719603,
"autogenerated": false,
"ratio": 4.22727272727272... |
__author__ = 'frank'
import traceback
import signal
import sys
import threading
import operator
import gc
import beeprint
try:
from types import InstanceType
except ImportError:
# Python 3.x compatibility
InstanceType = None
from zstacklib.utils import log
from zstacklib.utils import thread
logger = log.... | {
"repo_name": "zstackio/zstack-utility",
"path": "zstacklib/zstacklib/utils/debug.py",
"copies": "1",
"size": "2778",
"license": "apache-2.0",
"hash": -1363034767442558500,
"line_mean": 26.2352941176,
"line_max": 86,
"alpha_frac": 0.6141108711,
"autogenerated": false,
"ratio": 3.6171875,
"confi... |
__author__ = 'frank'
import traceback
import signal
import sys
import threading
import operator
import gc
try:
from types import InstanceType
except ImportError:
# Python 3.x compatibility
InstanceType = None
from zstacklib.utils import log
logger = log.get_logger(__name__)
def dump(sig, frame):
mes... | {
"repo_name": "zstackorg/zstack-utility",
"path": "zstacklib/zstacklib/utils/debug.py",
"copies": "1",
"size": "2406",
"license": "apache-2.0",
"hash": -3396485913603577300,
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"line_max": 81,
"alpha_frac": 0.6009975062,
"autogenerated": false,
"ratio": 3.7072419106317414... |
__author__ = 'frank'
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.log as log
import zstacklib.utils.shell as shell
import zstacklib.utils.iptables as iptables
import zstacklib.utils.jsonobject as jsonobject
import zstacklib.utils.lock as lock
import zstacklib.utils... | {
"repo_name": "mrwangxc/zstack-utility",
"path": "iscsifilesystemagent/iscsifilesystemagent/iscsiagent.py",
"copies": "6",
"size": "1992",
"license": "apache-2.0",
"hash": 1110001003819505200,
"line_mean": 27.4571428571,
"line_max": 95,
"alpha_frac": 0.6470883534,
"autogenerated": false,
"ratio":... |
__author__ = 'frank'
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.log as log
import zstacklib.utils.shell as shell
import zstacklib.utils.lichbd as lichbd
import zstacklib.utils.iptables as iptables
import zstacklib.utils.jsonobject as jsonobject
import zstacklib.u... | {
"repo_name": "live4thee/zstack-utility",
"path": "fusionstorbackupstorage/fusionstorbackupstorage/fusionstoragent.py",
"copies": "1",
"size": "9226",
"license": "apache-2.0",
"hash": -4692540378548637000,
"line_mean": 33.8150943396,
"line_max": 199,
"alpha_frac": 0.6238890093,
"autogenerated": fal... |
__author__ = 'frank'
from virtualrouter import virtualrouter
from zstacklib.utils import http
from zstacklib.utils import jsonobject
from zstacklib.utils import linux
from zstacklib.utils import log
from zstacklib.utils import lock
import zstacklib.utils.iptables as iptables
logger = log.get_logger(__name__)
class ... | {
"repo_name": "live4thee/zstack-utility",
"path": "virtualrouter/virtualrouter/plugins/eip.py",
"copies": "5",
"size": "7314",
"license": "apache-2.0",
"hash": 2198059122558286600,
"line_mean": 38.75,
"line_max": 156,
"alpha_frac": 0.6227782335,
"autogenerated": false,
"ratio": 3.1017811704834606... |
__author__ = 'frank'
# System Imports
from mock import patch
from test import AddressimoTestCase
from addressimo.blockchain import *
class TestConnect(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.blockchain.bitcoinrpc')
self.mockBitcoinRpc = self.patcher1.start()
... | {
"repo_name": "netkicorp/addressimo",
"path": "test/test_blockchain.py",
"copies": "1",
"size": "3292",
"license": "bsd-3-clause",
"hash": -4962162630784582000,
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"line_max": 93,
"alpha_frac": 0.6913730255,
"autogenerated": false,
"ratio": 3.5704989154013016,
"config_t... |
__author__ = 'frank'
# System Imports
import json
from datetime import datetime
from mock import Mock, patch
from test import AddressimoTestCase
from addressimo.logger.RedisLogger import *
class TestRedisLogger(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.logger.RedisLogger.Re... | {
"repo_name": "netkicorp/addressimo",
"path": "test/test_RedisLogger.py",
"copies": "1",
"size": "2143",
"license": "bsd-3-clause",
"hash": -1581729126021802800,
"line_mean": 29.1830985915,
"line_max": 108,
"alpha_frac": 0.5818945404,
"autogenerated": false,
"ratio": 3.772887323943662,
"config_... |
__author__ = 'frank'
# System Imports
import json
from mock import Mock, patch
from test import AddressimoTestCase
from addressimo.signer.APISigner import *
class TestSetIdObj(AddressimoTestCase):
def test_go_right(self):
# Setup test case
id_obj = Mock()
apis = APISigner()
# R... | {
"repo_name": "netkicorp/addressimo",
"path": "test/test_ApiSigner.py",
"copies": "1",
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"config_tes... |
__author__ = 'frank'
# System Imports
import json
from mock import Mock, patch
from test import AddressimoTestCase
from addressimo.signer.LocalSigner import *
class TestSetIdObj(AddressimoTestCase):
def setUp(self):
self.patcher1 = patch('addressimo.signer.LocalSigner.crypto')
self.mockCrypto =... | {
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__author__ = 'frank'
# System Imports
# Third Party Imports
from flask import Flask, Response, request
# Addressimo Imports
from addressimo.admin import admin
from addressimo.plugin import PluginManager
from addressimo.util import create_json_response, LogUtil
# Setup Logging
log = LogUtil.setup_logging('server.py'... | {
"repo_name": "netkicorp/addressimo",
"path": "addressimo/admin/server.py",
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"confi... |
__author__ = 'Franko'
from google.appengine.ext import ndb
from lib.models import Randomstevilka
from datetime import datetime
import time
import random
from google.appengine.api import users
def Random(stevilka,params):
R=params
#samo kontrola
alijerandom=preveri_random()
stevilka=int(... | {
"repo_name": "igorpodobnik/koncniprojek",
"path": "lib/ugani.py",
"copies": "1",
"size": "1927",
"license": "apache-2.0",
"hash": -7659949114951492000,
"line_mean": 30.5901639344,
"line_max": 129,
"alpha_frac": 0.6196159834,
"autogenerated": false,
"ratio": 3.1231766612641816,
"config_test": f... |
__author__ = 'Franko'
import datetime
import relativedelta
from datetime import *; from relativedelta import *
prva = 1
druga = 2
tretja = 3
cetrta = 4
peta = 5
c="."
def izracun(dan,mesec):
today = date.today()
obletnica = date(today.year,mesec,dan)
koliko = obletnica - today
if koliko.days < 0:... | {
"repo_name": "igorpodobnik/koncniprojek",
"path": "lib/obletnica.py",
"copies": "1",
"size": "1773",
"license": "apache-2.0",
"hash": 4436366462111830000,
"line_mean": 22.3289473684,
"line_max": 65,
"alpha_frac": 0.5719120135,
"autogenerated": false,
"ratio": 2.765990639625585,
"config_test": ... |
__author__ = 'Franko'
datum = "5.5.1983"
datum2 = "12.12.1983"
datum3 = "5.12.1983"
datum4 = "12.5.1983"
datumi=["5.5.1983","12.12.1983","5.12.1983","12.5.1983","5,5,200"]
c="."
prvi=[pos for pos, char in enumerate(datum) if char == c]
prvi2=[pos for pos, char in enumerate(datum2) if char == c]
prvi3=[pos for pos,... | {
"repo_name": "igorpodobnik/koncniprojek",
"path": "scrape.py",
"copies": "1",
"size": "2570",
"license": "apache-2.0",
"hash": -6405523560680068000,
"line_mean": 21.5526315789,
"line_max": 66,
"alpha_frac": 0.5217898833,
"autogenerated": false,
"ratio": 2.5470763131813676,
"config_test": false... |
__author__ = 'frank'
from flask import Flask
from flask import request
from flask import render_template
import argparse
import utils
import simplejson
import threading
from api_messages import api_names
import signal
import sys
import os
import logging
import kombu
import traceback
import functools
i... | {
"repo_name": "zstackorg/zstack-dashboard",
"path": "zstack_dashboard/web.py",
"copies": "1",
"size": "16943",
"license": "apache-2.0",
"hash": 3155858116244980700,
"line_mean": 31.5504950495,
"line_max": 179,
"alpha_frac": 0.5581065927,
"autogenerated": false,
"ratio": 3.9931652132924818,
"con... |
__author__ = 'frank'
from kvmagent import kvmagent
from kvmagent.plugins import vm_plugin
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils import sizeunit
from zstacklib.utils import linux
from zstac... | {
"repo_name": "ghxandsky/zstack-utility",
"path": "kvmagent/kvmagent/plugins/mevoco.py",
"copies": "1",
"size": "16090",
"license": "apache-2.0",
"hash": -9026510201654270000,
"line_mean": 29.6110019646,
"line_max": 138,
"alpha_frac": 0.5515848353,
"autogenerated": false,
"ratio": 3.2013529645841... |
__author__ = 'frank'
from virtualrouter import virtualrouter
from zstacklib.utils import http
from zstacklib.utils import jsonobject
from zstacklib.utils import linux
from zstacklib.utils import log
from zstacklib.utils import lock
import zstacklib.utils.iptables as iptables
from zstacklib.utils.rollback impo... | {
"repo_name": "SoftwareKing/zstack-utility",
"path": "virtualrouter/virtualrouter/plugins/lb.py",
"copies": "2",
"size": "4770",
"license": "apache-2.0",
"hash": -8676958658891972000,
"line_mean": 32.0857142857,
"line_max": 159,
"alpha_frac": 0.5830188679,
"autogenerated": false,
"ratio": 3.46153... |
__author__ = 'frank'
from zstacklib.utils import plugin
from zstacklib.utils import log
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import shell
from zstacklib.utils import linux
from zstacklib.utils import lock
import cherrypy
from iscsifilesystemagent import... | {
"repo_name": "SoftwareKing/zstack-utility",
"path": "iscsifilesystemagent/iscsifilesystemagent/plugins/btrfs.py",
"copies": "3",
"size": "14360",
"license": "apache-2.0",
"hash": 3237414519731889700,
"line_mean": 37.5592286501,
"line_max": 172,
"alpha_frac": 0.6293871866,
"autogenerated": false,
... |
__author__ = 'frank'
import os.path
import traceback
from kvmagent import kvmagent
from zstacklib.utils import jsonobject
from zstacklib.utils import http
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils import linux
import zstacklib.utils.uuidhelper as uuidhelper
l... | {
"repo_name": "ghxandsky/zstack-utility",
"path": "kvmagent/kvmagent/plugins/localstorage.py",
"copies": "1",
"size": "16009",
"license": "apache-2.0",
"hash": 3182853416581697500,
"line_mean": 39.3669250646,
"line_max": 139,
"alpha_frac": 0.6316446999,
"autogenerated": false,
"ratio": 3.64752791... |
__author__ = 'frank'
import threading
import functools
import traceback
import log
logger = log.get_logger(__name__)
tlocal = threading.local()
tlocal.rollback_structs = []
def rollbackable(func):
@functools.wraps(func)
def wrap(*args, **kwargs):
if not hasattr(tlocal, 'rollback_struc... | {
"repo_name": "ghxandsky/zstack-utility",
"path": "zstacklib/zstacklib/utils/rollback.py",
"copies": "2",
"size": "1253",
"license": "apache-2.0",
"hash": -8399443693615063000,
"line_mean": 24.6595744681,
"line_max": 86,
"alpha_frac": 0.5498802873,
"autogenerated": false,
"ratio": 4.3506944444444... |
__author__ = 'frank'
import zstacklib.utils.daemon as daemon
import zstacklib.utils.http as http
import zstacklib.utils.log as log
import zstacklib.utils.shell as shell
import zstacklib.utils.iptables as iptables
import zstacklib.utils.jsonobject as jsonobject
import zstacklib.utils.lock as lock
import zstack... | {
"repo_name": "SoftwareKing/zstack-utility",
"path": "appliancevm/appliancevm/appliancevm.py",
"copies": "2",
"size": "6364",
"license": "apache-2.0",
"hash": -4933831822879778000,
"line_mean": 35.4352941176,
"line_max": 131,
"alpha_frac": 0.559239472,
"autogenerated": false,
"ratio": 3.638650657... |
__author__ = 'frank'
from virtualrouter import virtualrouter
from zstacklib.utils import http
from zstacklib.utils import jsonobject
from zstacklib.utils import linux
from zstacklib.utils import log
from zstacklib.utils import lock
import zstacklib.utils.iptables as iptables
logger = log.get_logger(__name... | {
"repo_name": "SoftwareKing/zstack-utility",
"path": "virtualrouter/virtualrouter/plugins/eip.py",
"copies": "1",
"size": "7473",
"license": "apache-2.0",
"hash": -5872262116396176000,
"line_mean": 38.3945945946,
"line_max": 156,
"alpha_frac": 0.6071189616,
"autogenerated": false,
"ratio": 3.1813... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from . import sensors
import threading
from pybrain.utilities import threaded
from pybrain.tools.networking.udpconnection import UDPServer
from pybrain.rl.environments.environment import Environment
from scipy import ones, zeros, array, clip, arange, sqrt
from time import ... | {
"repo_name": "RatulGhosh/pybrain",
"path": "pybrain/rl/environments/flexcube/environment.py",
"copies": "25",
"size": "5905",
"license": "bsd-3-clause",
"hash": -5700070799622444000,
"line_mean": 34.3592814371,
"line_max": 191,
"alpha_frac": 0.5298899238,
"autogenerated": false,
"ratio": 3.38783... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from OpenGL.GL import * #@UnusedWildImport
from OpenGL.GLU import * #@UnusedWildImport
import math
class Objects3D:
def normale(self, vect, centerOfGrav):
vect=self.dumpVect(vect, 1.0/4.0)
norm=self.difVect(vect, centerOfGrav)
norm=self.normVec... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/flexcube/objects3D.py",
"copies": "1",
"size": "12076",
"license": "bsd-3-clause",
"hash": 4181430182551502000,
"line_mean": 34.7278106509,
"line_max": 170,
"alpha_frac": 0.4884067572,
"autogenerated": false,
"ratio": 2.832082... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments import EpisodicTask
from pybrain.rl.environments.ode.sensors import SpecificBodyPositionSensor
from scipy import tanh, zeros, array, random, sqrt, asarray
#Basic class for all ccrl tasks
class CCRLTask(EpisodicTask):
def __init__(self, en... | {
"repo_name": "hassaanm/stock-trading",
"path": "src/pybrain/rl/environments/ode/tasks/ccrl.py",
"copies": "5",
"size": "15166",
"license": "apache-2.0",
"hash": 632486397589056300,
"line_mean": 40.7796143251,
"line_max": 228,
"alpha_frac": 0.5770803112,
"autogenerated": false,
"ratio": 3.2770095... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments import EpisodicTask
from pybrain.rl.environments.ode.sensors import * #@UnusedWildImport
from scipy import ones, tanh, clip
#Basic class for all Johnnie tasks
class JohnnieTask(EpisodicTask):
def __init__(self, env):
EpisodicTask.... | {
"repo_name": "Neural-Network/TicTacToe",
"path": "pybrain/rl/environments/ode/tasks/johnnie.py",
"copies": "31",
"size": "8446",
"license": "bsd-3-clause",
"hash": -297009255365126000,
"line_mean": 43.6878306878,
"line_max": 147,
"alpha_frac": 0.6639829505,
"autogenerated": false,
"ratio": 3.665... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments.ode import ODEEnvironment, sensors, actuators
import imp
from scipy import array
class AcrobotEnvironment(ODEEnvironment):
def __init__(self, renderer=True, realtime=False, ip="127.0.0.1", port="21590", buf='16384'):
ODEEnvironment... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/pybrain/rl/environments/ode/instances/acrobot.py",
"copies": "3",
"size": "1069",
"license": "mit",
"hash": 635644726483509900,
"line_mean": 35.8620689655,
"line_max": 97,
"alpha_frac": 0.63797942,
"autogenerated": false,
... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments.ode import ODEEnvironment, sensors, actuators
import imp
from scipy import array
class JohnnieEnvironment(ODEEnvironment):
def __init__(self, renderer=True, realtime=False, ip="127.0.0.1", port="21590", buf='16384'):
ODEEnvironment... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/ode/instances/johnnie.py",
"copies": "1",
"size": "1459",
"license": "bsd-3-clause",
"hash": -5925702252032151000,
"line_mean": 44.59375,
"line_max": 119,
"alpha_frac": 0.6216586703,
"autogenerated": false,
"ratio": 2.82205029... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments.ode import ODEEnvironment, sensors, actuators
import imp
import xode
import ode
import sys
from scipy import array, asarray
class CCRLEnvironment(ODEEnvironment):
def __init__(self, xodeFile="ccrlGlas.xode", renderer=True, realtime=False, ... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/ode/instances/ccrl.py",
"copies": "1",
"size": "6075",
"license": "bsd-3-clause",
"hash": -3735516669919408000,
"line_mean": 42.3928571429,
"line_max": 124,
"alpha_frac": 0.5679012346,
"autogenerated": false,
"ratio": 3.347107... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.environments.ode import ODEEnvironment, sensors, actuators
import imp
import xode #@UnresolvedImport
import ode #@UnresolvedImport
import sys
from scipy import array, asarray
class CCRLEnvironment(ODEEnvironment):
def __init__(self, xodeFile="ccrlGlas.... | {
"repo_name": "hassaanm/stock-trading",
"path": "pybrain-pybrain-87c7ac3/pybrain/rl/environments/ode/instances/ccrl.py",
"copies": "5",
"size": "6067",
"license": "apache-2.0",
"hash": -1484889310389266200,
"line_mean": 42.0283687943,
"line_max": 126,
"alpha_frac": 0.5722762486,
"autogenerated": fa... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.tasks import EpisodicTask
from pybrain.rl.environments.ode.sensors import SpecificBodyPositionSensor
from scipy import tanh, zeros, array, random, sqrt, asarray
#Basic class for all ccrl tasks
class CCRLTask(EpisodicTask):
def __init__(self, env):
... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/ode/tasks/ccrl.py",
"copies": "1",
"size": "14781",
"license": "bsd-3-clause",
"hash": 2754138424979921000,
"line_mean": 39.495890411,
"line_max": 198,
"alpha_frac": 0.5906907516,
"autogenerated": false,
"ratio": 3.24571805006... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from pybrain.rl.tasks import EpisodicTask
from pybrain.rl.environments.ode.sensors import * #@UnusedWildImport
from scipy import ones, tanh, clip
#Basic class for all Johnnie tasks
class JohnnieTask(EpisodicTask):
def __init__(self, env):
EpisodicTask.__init_... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/ode/tasks/johnnie.py",
"copies": "1",
"size": "8324",
"license": "bsd-3-clause",
"hash": 6788368217359813000,
"line_mean": 44.7362637363,
"line_max": 145,
"alpha_frac": 0.6663863527,
"autogenerated": false,
"ratio": 3.66696035... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from scipy import ones, zeros, random
from time import sleep
from pybrain.rl.learners.finitedifference.fd import FDLearner
from pybrain.auxiliary import GradientDescent
class SPLA(FDLearner):
def __init__(self):
# standard parameters
self.epsilon = 2.0... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/learners/finitedifference/spla.py",
"copies": "1",
"size": "6856",
"license": "bsd-3-clause",
"hash": -3731379631378991600,
"line_mean": 46.6111111111,
"line_max": 217,
"alpha_frac": 0.6327304551,
"autogenerated": false,
"ratio": 3.8954545... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from scipy import zeros, random
from time import sleep
from pybrain.rl.learners.finitedifference.fd import FDLearner
from pybrain.auxiliary import GradientDescent
#This class uses SPSA in general, but uses the likelihood gradient and a simpler exploration decay
class Simp... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/learners/finitedifference/spsa.py",
"copies": "1",
"size": "4281",
"license": "bsd-3-clause",
"hash": 2368763183512251400,
"line_mean": 46.5666666667,
"line_max": 217,
"alpha_frac": 0.6542863817,
"autogenerated": false,
"ratio": 3.94198895... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from time import sleep
from scipy import ones, array
from pybrain.utilities import threaded
from pybrain.tools.networking.udpconnection import UDPServer
import threading
class FlexCubeRenderInterface(object):
def __init__(self, ip="127.0.0.1", port="21560"):
s... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/flexcube/renderInterface.py",
"copies": "1",
"size": "1133",
"license": "bsd-3-clause",
"hash": 6714957958471918000,
"line_mean": 33.3333333333,
"line_max": 75,
"alpha_frac": 0.6301853486,
"autogenerated": false,
"ratio": 3.46... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
import sensors
from pybrain.rl.environments.serverInterface import GraphicalEnvironment
from renderInterface import FlexCubeRenderInterface
from scipy import ones, zeros, array, clip, arange, sqrt
from time import sleep
class FlexCubeEnvironment(GraphicalEnvironment):
... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/flexcube/environment.py",
"copies": "1",
"size": "5193",
"license": "bsd-3-clause",
"hash": 3163599671853883000,
"line_mean": 35.829787234,
"line_max": 159,
"alpha_frac": 0.5443866744,
"autogenerated": false,
"ratio": 3.307643... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
import sensors
import threading
from pybrain.utilities import threaded
from pybrain.tools.networking.udpconnection import UDPServer
from pybrain.rl.environments.environment import Environment
from scipy import ones, zeros, array, clip, arange, sqrt
from time import sleep
... | {
"repo_name": "hassaanm/stock-trading",
"path": "pybrain-pybrain-87c7ac3/pybrain/rl/environments/flexcube/environment.py",
"copies": "6",
"size": "5886",
"license": "apache-2.0",
"hash": -8677749351808716000,
"line_mean": 34.245508982,
"line_max": 191,
"alpha_frac": 0.5295616718,
"autogenerated": f... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from scipy import random, zeros, ones, exp, sqrt, cos, log
stND=zeros(1000)
for i in range(1000):
x=-4.0+float(i)*8.0/1000.0
stND[i]=1.0/2.51*exp(-0.5*(x)**2)
# FIXME: different class name?
class MixtureOfGaussians:
def __init__(self, numOGaus=10, alphaA=0... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/tools/mixtures/mogpuremax.py",
"copies": "1",
"size": "3534",
"license": "bsd-3-clause",
"hash": -6015937081531734000,
"line_mean": 31.7222222222,
"line_max": 112,
"alpha_frac": 0.578098472,
"autogenerated": false,
"ratio": 2.7480559875583204... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
from scipy import random, zeros, ones, sqrt, exp, sin, cos, log
stND=zeros(1000)
for i in range(1000):
x=-4.0+float(i)*8.0/1000.0
stND[i]=1.0/2.51*exp(-0.5*(x)**2)
class MixtureOfGaussians:
def __init__(self, typ, numOGaus=10, alphaA=0.02, alphaM=0.02, alpha... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/tools/mixtures/mixtureofgaussian.py",
"copies": "1",
"size": "6207",
"license": "bsd-3-clause",
"hash": -2483371781378764000,
"line_mean": 33.8707865169,
"line_max": 112,
"alpha_frac": 0.5555018527,
"autogenerated": false,
"ratio": 3.01750121... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#########################################################################
# OpenGL viewer for the FlexCube Environment
#
# The FlexCube Environment is a Mass-Spring-System composed of 8 mass points.
# These resemble a cube with flexible edges.
#
# This viewer uses an UDP ... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/pybrain/rl/environments/flexcube/viewer.py",
"copies": "1",
"size": "10728",
"license": "mit",
"hash": 6145098954141027000,
"line_mean": 35.9931034483,
"line_max": 109,
"alpha_frac": 0.5585384042,
"autogenerated": false,
... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#########################################################################
# The sensors that are available for the FlexCube Environment
#
# The FlexCube Environment is a Mass-Spring-System composed of 8 mass points.
# These resemble a cube with flexible edges.
#
# A wide ... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/rl/environments/flexcube/sensors.py",
"copies": "1",
"size": "4907",
"license": "bsd-3-clause",
"hash": 7313670832347230000,
"line_mean": 36.7461538462,
"line_max": 124,
"alpha_frac": 0.6305278174,
"autogenerated": false,
"ratio": 3.586988304... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#########################################################################
# The tasks availabele in the FlexCube Environment
#
# The FlexCube Environment is a Mass-Spring-System composed of 8 mass points.
# These resemble a cube with flexible edges.
#
# Tasks available are... | {
"repo_name": "chanderbgoel/pybrain",
"path": "pybrain/rl/environments/flexcube/tasks.py",
"copies": "25",
"size": "8629",
"license": "bsd-3-clause",
"hash": -2978674959207864300,
"line_mean": 41.2990196078,
"line_max": 128,
"alpha_frac": 0.6202340943,
"autogenerated": false,
"ratio": 3.344573643... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#########################################################################
# The tasks availabele in the FlexCube Environment
#
# The FlexCube Environment is a Mass-Spring-System composed of 8 mass points.
# These resemble a cube with flexible edges.
#
# Tasks available ar... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/pybrain/rl/environments/flexcube/tasks.py",
"copies": "1",
"size": "8763",
"license": "mit",
"hash": 5838185068538860000,
"line_mean": 41.9558823529,
"line_max": 128,
"alpha_frac": 0.6102932786,
"autogenerated": false,
"r... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#############################################################################################################
# UDP Connection classes #
# ... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/tools/networking/udpconnection.py",
"copies": "1",
"size": "5486",
"license": "bsd-3-clause",
"hash": -3052726320994041000,
"line_mean": 41.2,
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"alpha_frac": 0.4865111192,
"autogenerated": false,
"ratio": 4.460162601626016,
... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de'
#@PydevCodeAnalysisIgnore
#########################################################################
# OpenGL viewer for the FlexCube Environment
#
# The FlexCube Environment is a Mass-Spring-System composed of 8 mass points.
# These resemble a cube with flexible edges.
#
... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/pybrain/rl/environments/shipsteer/viewer.py",
"copies": "3",
"size": "13186",
"license": "mit",
"hash": -2953232808413713400,
"line_mean": 39.4478527607,
"line_max": 141,
"alpha_frac": 0.5492188685,
"autogenerated": false,
... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de, Tom Schaul'
from scipy import ones, random
from pybrain.auxiliary import GradientDescent
from fd import FiniteDifferences
class PGPE(FiniteDifferences):
""" Policy Gradients with Parameter Exploration (ICANN 2008)."""
batchSize = 2
#:exploration typ... | {
"repo_name": "rbalda/neural_ocr",
"path": "env/lib/python2.7/site-packages/pybrain/optimization/finitedifference/pgpe.py",
"copies": "1",
"size": "3690",
"license": "mit",
"hash": -946197643047859000,
"line_mean": 42.9285714286,
"line_max": 114,
"alpha_frac": 0.5880758808,
"autogenerated": false,
... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de, Tom Schaul'
from scipy import ones, random
from pybrain.auxiliary import GradientDescent
from .fd import FiniteDifferences
class PGPE(FiniteDifferences):
""" Policy Gradients with Parameter Exploration (ICANN 2008)."""
#:exploration type
exploration = "... | {
"repo_name": "styskin/pybrain",
"path": "pybrain/optimization/finitedifference/pgpe.py",
"copies": "25",
"size": "3657",
"license": "bsd-3-clause",
"hash": 9210541318838816000,
"line_mean": 42.5357142857,
"line_max": 114,
"alpha_frac": 0.5906480722,
"autogenerated": false,
"ratio": 4.26721120186... |
__author__ = 'Frank Sehnke, sehnke@in.tum.de, Tom Schaul'
from scipy import random
from .fd import FiniteDifferences
class SimpleSPSA(FiniteDifferences):
""" Simultaneous Perturbation Stochastic Approximation.
This class uses SPSA in general, but uses the likelihood gradient and a simpler exploration decay... | {
"repo_name": "Adai0808/pybrain",
"path": "pybrain/optimization/finitedifference/spsa.py",
"copies": "25",
"size": "2286",
"license": "bsd-3-clause",
"hash": 9036491802210398000,
"line_mean": 39.1052631579,
"line_max": 131,
"alpha_frac": 0.6500437445,
"autogenerated": false,
"ratio": 4.2649253731... |
__author__ = "Frantisek Janus"
import datetime
import logging
import time
import usb
# import usb.util
import database
# TODO How to interupt while loop when running?
class Timy(object):
"""Class responsible for communication with the ALGE TIMY 3
"""
TIMY_VEND = 0x0c4a # USB Vendor ID
TIMY_PROD = ... | {
"repo_name": "jfblg/alge_timy_usb_capture",
"path": "timy.py",
"copies": "1",
"size": "6066",
"license": "mit",
"hash": 5484383048790868000,
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"line_max": 118,
"alpha_frac": 0.5164853281,
"autogenerated": false,
"ratio": 4.364028776978417,
"config_test": false,
"has... |
__author__ = "Frantisek Janus"
import os
import sqlalchemy
from sqlalchemy import create_engine, ForeignKey, exc
from sqlalchemy import Column, Date, Integer, Interval, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
DB_NAME = "db.sqli... | {
"repo_name": "jfblg/alge_timy_usb_capture",
"path": "database.py",
"copies": "1",
"size": "1351",
"license": "mit",
"hash": 3651030541888156700,
"line_mean": 24.5094339623,
"line_max": 114,
"alpha_frac": 0.6336047372,
"autogenerated": false,
"ratio": 3.721763085399449,
"config_test": false,
... |
from random import randrange
import time
from driver import Driver
class Dummy(Driver):
"""Dummy driver derived from Driver class. Usefull for tests."""
def __init__(self, probe_ids, **kwargs):
"""Initializes the dummy driver.
Keyword arguments:
probe_ids -- list containing the pro... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/drivers/dummy.py",
"copies": "1",
"size": "1739",
"license": "apache-2.0",
"hash": -3591563566810512400,
"line_mean": 35.9787234043,
"line_max": 79,
"alpha_frac": 0.6467203682,
"autogenerated": false,
"ratio": 4.1380952380952385,
"config_test": f... |
import json
from threading import Thread, Event
from oslo.config import cfg
import zmq
from kwapi.openstack.common import log
from kwapi import security
LOG = log.getLogger(__name__)
driver_opts = [
cfg.BoolOpt('enable_signing',
required=True,
),
cfg.StrOpt('metering_secret'... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/drivers/driver.py",
"copies": "1",
"size": "2837",
"license": "apache-2.0",
"hash": -8115015245174055000,
"line_mean": 30.8651685393,
"line_max": 77,
"alpha_frac": 0.6258815233,
"autogenerated": false,
"ratio": 4.098265895953757,
"config_test": f... |
import json
from oslo.config import cfg
import zmq
from kwapi import security
from kwapi.openstack.common import log
LOG = log.getLogger(__name__)
def listen(function):
"""Subscribes to ZeroMQ messages, and adds received measurements to the
database. Messages are dictionaries dumped in JSON format.
"... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/plugins/__init__.py",
"copies": "1",
"size": "2197",
"license": "apache-2.0",
"hash": 7252824612414801000,
"line_mean": 35.6,
"line_max": 75,
"alpha_frac": 0.6561930783,
"autogenerated": false,
"ratio": 4.255813953488372,
"config_test": false,
... |
import serial
from serial.serialutil import SerialException
from driver import Driver
class Wattsup(Driver):
"""Driver for Wattsup wattmeters."""
def __init__(self, probe_ids, **kwargs):
"""Initializes the Wattsup driver.
Keyword arguments:
probe_ids -- list containing the probes I... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/drivers/wattsup.py",
"copies": "1",
"size": "2619",
"license": "apache-2.0",
"hash": 6458441426224056000,
"line_mean": 33,
"line_max": 77,
"alpha_frac": 0.6042780749,
"autogenerated": false,
"ratio": 4.1424050632911396,
"config_test": false,
"h... |
import subprocess
import time
from kwapi.openstack.common import log
from driver import Driver
LOG = log.getLogger(__name__)
class Ipmi(Driver):
"""Driver for IPMI cards."""
def __init__(self, probe_ids, **kwargs):
"""Initializes the IPMI driver.
Keyword arguments:
probe_ids -- li... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/drivers/ipmi.py",
"copies": "1",
"size": "4226",
"license": "apache-2.0",
"hash": -328803497393161100,
"line_mean": 37.0630630631,
"line_max": 75,
"alpha_frac": 0.530887574,
"autogenerated": false,
"ratio": 4.4520547945205475,
"config_test": fals... |
import threading
import time
from oslo.config import cfg
from kwapi.openstack.common import log
LOG = log.getLogger(__name__)
collector_opts = [
cfg.BoolOpt('signature_checking',
required=True,
),
cfg.IntOpt('cleaning_interval',
required=True,
)... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/plugins/api/collector.py",
"copies": "1",
"size": "3660",
"license": "apache-2.0",
"hash": -2364236399915745000,
"line_mean": 29.7478991597,
"line_max": 77,
"alpha_frac": 0.5925116152,
"autogenerated": false,
"ratio": 4.254651162790697,
"config_t... |
import time
from pysnmp.entity.rfc3413.oneliner import cmdgen
from kwapi.openstack.common import log
from driver import Driver
LOG = log.getLogger(__name__)
class Snmp(Driver):
"""Driver for SNMP based PDUs."""
def __init__(self, probe_ids, **kwargs):
"""Initializes the SNMP driver.
Keyw... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/drivers/snmp.py",
"copies": "1",
"size": "3379",
"license": "apache-2.0",
"hash": 3817756271732317700,
"line_mean": 35.3225806452,
"line_max": 79,
"alpha_frac": 0.5606867969,
"autogenerated": false,
"ratio": 4.079710144927536,
"config_test": fals... |
"""Set up the ACL to access the API."""
import flask
import keystoneclient.middleware.auth_token as auth_token
from oslo.config import cfg
from kwapi.openstack.common import policy
_ENFORCER = None
OPT_GROUP_NAME = 'keystone_authtoken'
def register_opts(conf):
"""Registers keystoneclient middleware options.""... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/plugins/api/acl.py",
"copies": "1",
"size": "1694",
"license": "apache-2.0",
"hash": 2512710662759145500,
"line_mean": 30.3518518519,
"line_max": 79,
"alpha_frac": 0.658003544,
"autogenerated": false,
"ratio": 3.830316742081448,
"config_test": fa... |
"""Set up the API server application instance."""
import sys
import thread
import flask
from oslo.config import cfg
from kwapi.openstack.common import log
from kwapi.plugins import listen
import acl
from collector import Collector
import v1
LOG = log.getLogger(__name__)
app_opts = [
cfg.BoolOpt('acl_enabled',... | {
"repo_name": "stackforge/kwapi",
"path": "kwapi/plugins/api/app.py",
"copies": "1",
"size": "2030",
"license": "apache-2.0",
"hash": -8928989051672272000,
"line_mean": 24.6835443038,
"line_max": 76,
"alpha_frac": 0.6643666831,
"autogenerated": false,
"ratio": 3.729779411764706,
"config_test": ... |
__author__ = 'freddie'
class LRUCache:
class CacheItem:
def __init__(self, key, value):
self.previous = None
self.next = None
self.key = key
self.value = value
# @param capacity, an integer
def __init__(self, capacity):
self.dict = {}
... | {
"repo_name": "wangyung/LeetCode",
"path": "solution/LruCache.py",
"copies": "1",
"size": "2754",
"license": "mit",
"hash": -6774049555440338000,
"line_mean": 23.8108108108,
"line_max": 57,
"alpha_frac": 0.4843863471,
"autogenerated": false,
"ratio": 3.962589928057554,
"config_test": false,
"... |
__author__ = 'freddie'
class Solution:
# @param {string} s
# @return {integer}
validToken = "+-()"
num = "0123456789"
def __init__(self):
self.numStack = []
self.leftParenthesisCount = 0
def calculate(self, s):
result = 0
for operand in s:
if operan... | {
"repo_name": "wangyung/LeetCode",
"path": "solution/SimpleCalculator.py",
"copies": "1",
"size": "2088",
"license": "mit",
"hash": -2506649274174356000,
"line_mean": 25.7692307692,
"line_max": 77,
"alpha_frac": 0.4803639847,
"autogenerated": false,
"ratio": 4.395789473684211,
"config_test": fa... |
__author__ = 'freddie'
class Solution:
# @param {string} s
# @param {integer} numRows
# @return {string}
def convert(self, s, numRows):
inputLen = len(s)
result = []
if inputLen <= 1 or numRows == 1 or numRows >= inputLen:
return s
for i in xrange(numRows)... | {
"repo_name": "wangyung/LeetCode",
"path": "solution/ZigZag.py",
"copies": "1",
"size": "1418",
"license": "mit",
"hash": 6137029039381324000,
"line_mean": 22.65,
"line_max": 64,
"alpha_frac": 0.4739069111,
"autogenerated": false,
"ratio": 4.207715133531157,
"config_test": true,
"has_no_keywo... |
import os
import sys
import re
import pprint
import binascii
def PrintUsage():
print """
Parses cpp file(s) containing an HSM and outputs dot format text that can be used to render it.
Usage: {} <filespec>
""".format(os.path.basename(sys.argv[0]))
DOT_LEFT_RIGHT = False
DOT_USE_COLOR = True
DOT_FONT = "Helvetica... | {
"repo_name": "amaiorano/hsm",
"path": "tools/hsmToDot.py",
"copies": "1",
"size": "24780",
"license": "mit",
"hash": -4614409279153065000,
"line_mean": 33.2738589212,
"line_max": 169,
"alpha_frac": 0.7078288943,
"autogenerated": false,
"ratio": 3.1887787929481406,
"config_test": false,
"has_... |
__author__ = 'Frederik Diehl'
import apsis
from apsis.assistants.lab_assistant import LabAssistant
import apsis.webservice.REST_interface as REST_interface
import time
from apsis.models.parameter_definition import *
import multiprocessing
from multiprocessing import reduction
from apsis_client.apsis_connection import C... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/start_script.py",
"copies": "2",
"size": "2883",
"license": "mit",
"hash": -4291966327715261400,
"line_mean": 26.7307692308,
"line_max": 86,
"alpha_frac": 0.6385709331,
"autogenerated": false,
"ratio": 3.0507936507936506,
"config_test": false,
... |
__author__ = 'Frederik Diehl'
import matplotlib.pyplot as plt
plt.ioff()
import random
import os
from matplotlib.colors import colorConverter
def plot_lists(to_plot_list, fig_options=None, ax=None, plot_min=None,
plot_max=None):
"""
Plots several functions.
Each entry of to_plot_list defin... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/utilities/plot_utils.py",
"copies": "2",
"size": "11444",
"license": "mit",
"hash": 5584757571900095000,
"line_mean": 32.0751445087,
"line_max": 82,
"alpha_frac": 0.553565187,
"autogenerated": false,
"ratio": 3.8753809685066036,
"config_test": f... |
__author__ = 'Frederik Diehl'
# Fix for TclError: no display name and no $DISPLAY environment variable
import matplotlib
matplotlib.use('Agg')
import REST_interface
import argparse
def start_rest(save_path, port=5000, fail_deadly=False):
print("Initialized apsis on port %s" %port)
print("Save_path is set t... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/webservice/REST_start_script.py",
"copies": "2",
"size": "1458",
"license": "mit",
"hash": -6290230840051920000,
"line_mean": 34.5609756098,
"line_max": 79,
"alpha_frac": 0.5775034294,
"autogenerated": false,
"ratio": 3.9619565217391304,
"config... |
__author__ = 'Frederik Diehl'
from apsis.models.candidate import Candidate
from apsis.models.parameter_definition import ParamDef
import copy
import uuid
import time
from apsis.utilities.param_def_utilities import dict_to_param_defs
import json
from apsis.models import candidate
from apsis.utilities import logging_uti... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/models/experiment.py",
"copies": "2",
"size": "20752",
"license": "mit",
"hash": -2750771342675316700,
"line_mean": 36.1252236136,
"line_max": 87,
"alpha_frac": 0.6017733231,
"autogenerated": false,
"ratio": 4.661275831087152,
"config_test": fal... |
__author__ = 'Frederik Diehl'
from apsis.models.experiment import Experiment
from apsis.models.candidate import Candidate
from apsis.utilities.optimizer_utils import check_optimizer
from apsis.utilities.file_utils import ensure_directory_exists
import numpy as np
import datetime
import os
import time
from apsis.utilit... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/assistants/experiment_assistant.py",
"copies": "2",
"size": "16607",
"license": "mit",
"hash": 3672428628148962300,
"line_mean": 37.710955711,
"line_max": 107,
"alpha_frac": 0.5747576323,
"autogenerated": false,
"ratio": 4.539912520503007,
... |
__author__ = 'Frederik Diehl'
from apsis.models.experiment import Experiment
from nose.tools import assert_equal, assert_raises, assert_dict_equal, \
assert_true, assert_false
from apsis.models.candidate import Candidate
from apsis.models.parameter_definition import *
class TestExperiment(object):
exp = None
... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/tests/test_models/test_experiment.py",
"copies": "2",
"size": "4273",
"license": "mit",
"hash": -7707591510200976000,
"line_mean": 34.0327868852,
"line_max": 73,
"alpha_frac": 0.5927919495,
"autogenerated": false,
"ratio": 3.445967741935483... |
__author__ = 'Frederik Diehl'
from apsis.optimizers.bayesian import acquisition_functions
import numpy as np
AVAILABLE_ACQUISITIONS = {
"ExpectedImprovement": acquisition_functions.ExpectedImprovement,
"ProbabilityOfImprovement": acquisition_functions.ProbabilityOfImprovement
}
def check_acquisition(acquisi... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/utilities/acquisition_utils.py",
"copies": "2",
"size": "3807",
"license": "mit",
"hash": 7817274509844846000,
"line_mean": 33.9357798165,
"line_max": 78,
"alpha_frac": 0.6511688994,
"autogenerated": false,
"ratio": 4.234705228031146,
"config_te... |
__author__ = 'Frederik Diehl'
from apsis.optimizers.bayesian_optimization import BayesianOptimizer
from nose.tools import assert_is_none, assert_equal, assert_dict_equal, \
assert_true, assert_false
from apsis.optimizers.bayesian.acquisition_functions import ExpectedImprovement, ProbabilityOfImprovement
from apsis... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/tests/test_optimizers/test_bayesian/test_acquisition.py",
"copies": "2",
"size": "2223",
"license": "mit",
"hash": 3128467571071924000,
"line_mean": 40.1851851852,
"line_max": 105,
"alpha_frac": 0.6270805218,
"autogenerated": false,
"ratio": 3.562... |
__author__ = 'Frederik Diehl'
from apsis.optimizers.optimizer import Optimizer
from apsis.models.parameter_definition import *
from apsis.utilities.randomization import check_random_state
from apsis.models.candidate import Candidate
class RandomSearch(Optimizer):
"""
This is a simple random search implementa... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/optimizers/random_search.py",
"copies": "2",
"size": "3624",
"license": "mit",
"hash": 5324205276908105000,
"line_mean": 34.1844660194,
"line_max": 81,
"alpha_frac": 0.6283112583,
"autogenerated": false,
"ratio": 4.6882276843467015,
"config_test... |
__author__ = 'Frederik Diehl'
from apsis.optimizers.optimizer import Optimizer
from apsis.optimizers.random_search import RandomSearch
from apsis.models.parameter_definition import *
from apsis.utilities.randomization import check_random_state
from apsis.models.candidate import Candidate
from apsis.optimizers.bayesian... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/optimizers/bayesian_optimization.py",
"copies": "2",
"size": "10784",
"license": "mit",
"hash": 6508322126778631000,
"line_mean": 42.313253012,
"line_max": 80,
"alpha_frac": 0.6006120178,
"autogenerated": false,
"ratio": 4.6382795698924735,... |
__author__ = 'Frederik Diehl'
from apsis.optimizers.random_search import RandomSearch
from apsis.optimizers.optimizer import Optimizer, QueueBasedOptimizer
from apsis.optimizers.bayesian_optimization import BayesianOptimizer
import numpy as np
AVAILABLE_OPTIMIZERS = {"RandomSearch": RandomSearch,
... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/utilities/optimizer_utils.py",
"copies": "2",
"size": "2960",
"license": "mit",
"hash": 2103449304843385000,
"line_mean": 39.5616438356,
"line_max": 79,
"alpha_frac": 0.6783783784,
"autogenerated": false,
"ratio": 4.8764415156507415,
"con... |
__author__ = 'Frederik Diehl'
from apsis.utilities.optimizer_utils import *
from apsis.models.experiment import Experiment
from apsis.models.parameter_definition import *
from nose.tools import assert_is_instance, assert_raises, assert_equal
import time
class TestOptimizerUtils(object):
def test_check_optimizer(... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/tests/test_utilities/test_optimizer_utils.py",
"copies": "2",
"size": "1719",
"license": "mit",
"hash": 1959299391800340500,
"line_mean": 44.2631578947,
"line_max": 114,
"alpha_frac": 0.6131471786,
"autogenerated": false,
"ratio": 4.8286516... |
__author__ = 'Frederik Diehl'
import apsis.models.parameter_definition as pd
def param_defs_to_dict(param_defs):
"""
Translates paramdefs to a dictionary.
Parameters
----------
param_defs : dict
A dictionary with string keys and ParamDef instance values.
Result
------
param_d... | {
"repo_name": "fdiehl/apsis",
"path": "code/apsis/utilities/param_def_utilities.py",
"copies": "2",
"size": "2580",
"license": "mit",
"hash": 2849519624538878500,
"line_mean": 26.4574468085,
"line_max": 75,
"alpha_frac": 0.6248062016,
"autogenerated": false,
"ratio": 4.307178631051753,
"config_... |
__author__ = 'Frederik Diehl'
import json
import os
import time
import uuid
import apsis.models.experiment as experiment
from apsis.assistants.experiment_assistant import ExperimentAssistant
from apsis.utilities.file_utils import ensure_directory_exists
from apsis.utilities.logging_utils import get_logger
# These ar... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis/assistants/lab_assistant.py",
"copies": "2",
"size": "15663",
"license": "mit",
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__author__ = 'Frederik Diehl'
import requests
import time
class Connection(object):
"""
This is a (very slim) connection to an apsis server.
It can be used for a minimum installation of apsis on a worker node,
for example. It can also be used to start experiments.
In general, all of the functio... | {
"repo_name": "FrederikDiehl/apsis",
"path": "code/apsis_client/apsis_connection.py",
"copies": "2",
"size": "16024",
"license": "mit",
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"line_max": 88,
"alpha_frac": 0.5981028457,
"autogenerated": false,
"ratio": 5.112954690491385,
"confi... |
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