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__author__ = 'rcj1492'
__created__ = '2016.07'
__license__ = 'MIT'
# pip install pytz
# pip install tzlocal
import re
from datetime import datetime
from tzlocal import get_localzone
from dateutil import parser as dTparser
from dateutil import tz
import pytz
class labDT(datetime):
''' a class... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/records/time.py",
"copies": "1",
"size": "12657",
"license": "mit",
"hash": 1119370033950546800,
"line_mean": 33.558988764,
"line_max": 154,
"alpha_frac": 0.5548708225,
"autogenerated": false,
"ratio": 4.045062320230105,
"config_test": ... |
__author__ = 'rcj1492'
__created__ = '2016.07'
__license__ = 'MIT'
'''
PLEASE NOTE: cryptolab package requires both the cryptography and pycrypto modules.
pycrypto requires a number of C libraries to install.
(alpine) apk add gcc
apk add g++
apk add ... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/encryption/cryptolab.py",
"copies": "1",
"size": "5035",
"license": "mit",
"hash": -4994986765984655000,
"line_mean": 33.7092198582,
"line_max": 88,
"alpha_frac": 0.6313803376,
"autogenerated": false,
"ratio": 4.063761097659403,
"config... |
__author__ = 'rcj1492'
__created__ = '2016.09'
__license__ = 'MIT'
class _method_constructor(object):
''' a class constructor for sub-method attributes '''
def __init__(self, method_dict):
for k, v in method_dict.items():
setattr(self, k, v)
class _walk_constructor(object):
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/compilers/objects.py",
"copies": "1",
"size": "3388",
"license": "mit",
"hash": -700859651469758200,
"line_mean": 32.9278350515,
"line_max": 89,
"alpha_frac": 0.5767414404,
"autogenerated": false,
"ratio": 4.172413793103448,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2016.09'
__license__ = 'MIT'
from labpack.messaging.telegram import telegramBotClient
class testTelegramBotClient(telegramBotClient):
def __init__(self, bot_settings, telegram_credentials):
telegramBotClient.__init__(self, bot_settings, telegram_credentials)... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_messaging_telegram.py",
"copies": "1",
"size": "1664",
"license": "mit",
"hash": -3384810081526511000,
"line_mean": 38.6341463415,
"line_max": 98,
"alpha_frac": 0.5949519231,
"autogenerated": false,
"ratio": 3.5329087048832273,
"conf... |
__author__ = 'rcj1492'
__created__ = '2016.09'
__license__ = 'MIT'
import os
import sys
import pickle
def store_values(file_path, data):
pickle_barrel = open(file_path, 'wb')
pickle.dump(data, pickle_barrel)
pickle_barrel.close()
def retrieve_values(file_path):
if os.path.exists(file_pa... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/storage/barrel.py",
"copies": "1",
"size": "1024",
"license": "mit",
"hash": -5176786812717230000,
"line_mean": 24.3076923077,
"line_max": 59,
"alpha_frac": 0.568359375,
"autogenerated": false,
"ratio": 3.4019933554817277,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2016.09'
__license__ = 'MIT'
'''
python module for bot api
https://github.com/luckydonald/pytgbot
python wrapper for telegram cli
https://github.com/luckydonald/pytg
telegram cli
https://github.com/vysheng/tg
telegram with OAUTH
ht... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/messaging/telegram.py",
"copies": "1",
"size": "35927",
"license": "mit",
"hash": -2669421214739810000,
"line_mean": 36.7144396552,
"line_max": 163,
"alpha_frac": 0.4569822139,
"autogenerated": false,
"ratio": 4.535092148447362,
"config... |
__author__ = 'rcj1492'
__created__ = '2016.10'
__license__ = 'MIT'
def load_settings(file_path, module_name='', secret_key=''):
''' a method to load data from json valid files
:param file_path: string with path to settings file
:param module_name: [optional] string with name of module containing... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/records/settings.py",
"copies": "1",
"size": "13927",
"license": "mit",
"hash": 727361140420046300,
"line_mean": 34.2682291667,
"line_max": 113,
"alpha_frac": 0.5729877217,
"autogenerated": false,
"ratio": 4.133867616503413,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2016.10'
__license__ = 'MIT'
# from pocketlab.init import logging circular dependency
from jsonmodel.validators import jsonModel
def inject_defaults(command_schema, default_schema):
default_model = jsonModel(default_schema)
for key, value in default_model.schem... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/utils.py",
"copies": "1",
"size": "14031",
"license": "mit",
"hash": -2254761431187227600,
"line_mean": 36.652892562,
"line_max": 108,
"alpha_frac": 0.5264770865,
"autogenerated": false,
"ratio": 4.52321083172147,
"config_test": fal... |
__author__ = 'rcj1492'
__created__ = '2016.10'
__license__ = 'MIT'
# TODO: incorporate rate limiting logic
class movesHandler(object):
''' handles responses from moves api and usage data '''
_class_fields = {
'schema': {
'rate_limits': [
{'requests': 60, 'perio... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/activity/moves.py",
"copies": "1",
"size": "16732",
"license": "mit",
"hash": -5076562691584644000,
"line_mean": 35.2650334076,
"line_max": 125,
"alpha_frac": 0.5603633756,
"autogenerated": false,
"ratio": 4.42294475284166,
"config_test... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
class twilioClient(object):
def __init__(self, account_sid, auth_token, twilio_phone):
self.account_sid = account_sid
self.auth_token = auth_token
self.twilio_phone = twilio_phone
from sys import path ... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/messaging/twilio.py",
"copies": "1",
"size": "2612",
"license": "mit",
"hash": 1464592585101979100,
"line_mean": 34.8169014085,
"line_max": 91,
"alpha_frac": 0.5712098009,
"autogenerated": false,
"ratio": 4.012288786482335,
"config_test... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
def handle_requests(request_object, uptime_url='www.google.com'):
import requests
# construct request details
request_details = {
'method': request_object.method,
'headers': request_object.headers,
'url': r... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/handlers/requests.py",
"copies": "1",
"size": "10793",
"license": "mit",
"hash": 2622913702271171600,
"line_mean": 33.6204620462,
"line_max": 124,
"alpha_frac": 0.5371073844,
"autogenerated": false,
"ratio": 4.899228325011348,
"config_t... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
from labpack.compilers.objects import _method_constructor, _walk_constructor, retrieve_function
if __name__ == '__main__':
method_name = 'ext'
sub_methods = { 'foo': 'bar' }
class _file_types(object):
def __init__(self, m... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_compilers_objects.py",
"copies": "1",
"size": "1090",
"license": "mit",
"hash": 966958412332583400,
"line_mean": 38.4444444444,
"line_max": 95,
"alpha_frac": 0.5990825688,
"autogenerated": false,
"ratio": 3.3333333333333335,
"config_... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
from labpack.parsing.magic import labMagic
if __name__ == '__main__':
from labpack.platforms.localhost import localhostClient
localhost_client = localhostClient()
file_path = '../data/test_photo.diy'
file_url = 'https://pbs.t... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_parsing_magic.py",
"copies": "1",
"size": "1042",
"license": "mit",
"hash": 990901878058716800,
"line_mean": 39.76,
"line_max": 93,
"alpha_frac": 0.6429942418,
"autogenerated": false,
"ratio": 3.176829268292683,
"config_test": false,... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
from labpack.platforms.apscheduler import apschedulerClient
if __name__ == '__main__':
from labpack.records.settings import load_settings
system_config = load_settings('../../cred/system.yaml')
scheduler_url = 'http://%s:%s' % (sy... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_platforms_apscheduler.py",
"copies": "1",
"size": "3215",
"license": "mit",
"hash": 7867750372941032000,
"line_mean": 37.2317073171,
"line_max": 157,
"alpha_frac": 0.5415241058,
"autogenerated": false,
"ratio": 3.4275053304904053,
"c... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
from labpack.records.settings import *
if __name__ == '__main__':
# define arguments
import os
os.environ['LABPACK_RECORDS_SETTINGS'] = '2'
model_path = 'test-model.json'
file_path = 'test-settings.yaml'
# test ... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_records_settings.py",
"copies": "1",
"size": "1623",
"license": "mit",
"hash": 5215625742240782000,
"line_mean": 36.6904761905,
"line_max": 86,
"alpha_frac": 0.6697473814,
"autogenerated": false,
"ratio": 3.8920863309352516,
"config_... |
__author__ = 'rcj1492'
__created__ = '2016.11'
__license__ = 'MIT'
'''
PLEASE NOTE: magic package requires the python-magic module.
python-magic requires a number of C libraries to install.
(alpine): apk add gcc
apk add g++
apk add libmagic
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/parsing/magic.py",
"copies": "1",
"size": "8917",
"license": "mit",
"hash": 7258093081189346000,
"line_mean": 38.1666666667,
"line_max": 196,
"alpha_frac": 0.5597173937,
"autogenerated": false,
"ratio": 4.029371893357434,
"config_test":... |
__author__ = 'rcj1492'
__created__ = '2016.12'
__license__ = 'MIT'
'''
PLEASE NOTE: cassandra package requires cassandra-driver module
(install) pip install cassandra-driver
'''
try:
from sys import path as sys_path
sys_path.append(sys_path.pop(0))
from cassandra.cluster import Clus... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/databases/cassandra.py",
"copies": "1",
"size": "6996",
"license": "mit",
"hash": 7509192277006637000,
"line_mean": 30.3888888889,
"line_max": 111,
"alpha_frac": 0.5427387078,
"autogenerated": false,
"ratio": 4.084063047285464,
"config_... |
__author__ = 'rcj1492'
__created__ = '2016.12'
__license__ = 'MIT'
'''
PLEASE NOTE: dropbox package requires the dropbox module.
(all platforms) pip3 install dropbox
'''
try:
from sys import path as sys_path
sys_path.append(sys_path.pop(0))
from dropbox import Dropbox
sys_path.insert... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/storage/dropbox.py",
"copies": "1",
"size": "27888",
"license": "mit",
"hash": 3338717289143301600,
"line_mean": 34.7457180501,
"line_max": 134,
"alpha_frac": 0.5347102697,
"autogenerated": false,
"ratio": 4.558352402745996,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2017.03'
__license__ = 'MIT'
'''
PLEASE NOTE: mailgun requires domain verification to send messages
api uses postmaster@sub.domain.com as sender address
make sure to add mx record under the mailgun subdomain
SETUP: https://doc... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/email/mailgun.py",
"copies": "1",
"size": "11328",
"license": "mit",
"hash": 2994595710301148700,
"line_mean": 33.0588235294,
"line_max": 185,
"alpha_frac": 0.5636700812,
"autogenerated": false,
"ratio": 4.2380239520958085,
"config_test... |
__author__ = 'rcj1492'
__created__ = '2017.04'
__license__ = 'MIT'
'''
PLEASE NOTE: watson package requires watson-developer-cloud, moviepy
and ffmpy module along with ffmpeg C dependency
(install) pip install watson-developer-cloud
pip install moviepy
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/speech/watson.py",
"copies": "1",
"size": "26570",
"license": "mit",
"hash": 3746019186391095000,
"line_mean": 35.9571428571,
"line_max": 161,
"alpha_frac": 0.5284907791,
"autogenerated": false,
"ratio": 4.461047683008731,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
from pocketlab.utils import inject_defaults, compile_model, compile_commands, compile_arguments
if __name__ == '__main__':
from pocketlab import __module__, __order__
from pocketlab.commands.home import _home_schema as home_schema
... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "tests/test_utils.py",
"copies": "1",
"size": "1147",
"license": "mit",
"hash": -3966582092722474500,
"line_mean": 39.0357142857,
"line_max": 95,
"alpha_frac": 0.6669572799,
"autogenerated": false,
"ratio": 3.676282051282051,
"config_test": fa... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
list services
list instances (ec2, heroku)
TODO: list images
TODO: list containers
TODO: list instances on other platforms (gcp, azure, bluemix, rackspace)
'''
_list_details = {
'title': 'List',
'description': 'Generates a li... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/list.py",
"copies": "1",
"size": "6910",
"license": "mit",
"hash": -1024467642274497800,
"line_mean": 35.3513513514,
"line_max": 187,
"alpha_frac": 0.5607814761,
"autogenerated": false,
"ratio": 4.236664622930717,
"config_t... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
remove services
'''
_remove_details = {
'title': 'Remove',
'description': 'Removes clutter from your records.',
'help': 'removes a service from the registry',
'benefit': 'Removes a service listing from the lab registry.... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/remove.py",
"copies": "1",
"size": "1490",
"license": "mit",
"hash": 7021259149804849000,
"line_mean": 29.0416666667,
"line_max": 90,
"alpha_frac": 0.6268456376,
"autogenerated": false,
"ratio": 3.7064676616915424,
"config_... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
remove services with non-existent roots from registry
remove broken/previous docker images from docker
remove exited status 1 containers from docker
'''
_clean_details = {
'title': 'clean',
'description': 'Removes broken resour... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/clean.py",
"copies": "1",
"size": "4566",
"license": "mit",
"hash": 2848378130924214300,
"line_mean": 38.0526315789,
"line_max": 123,
"alpha_frac": 0.567674113,
"autogenerated": false,
"ratio": 4.507403751233959,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
update the .ignore file
update the docker-compose.yaml file
update the setup.py file
TODO: check dependencies and alert new versions
'''
_update_details = {
'title': 'Update',
'description': 'Updates the configuration files fo... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/update.py",
"copies": "1",
"size": "21065",
"license": "mit",
"hash": 4003732481046132700,
"line_mean": 44.1951754386,
"line_max": 325,
"alpha_frac": 0.507334441,
"autogenerated": false,
"ratio": 4.88180764774044,
"config_t... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__license__ = 'MIT'
from labpack.handlers.requests import requestsHandler
class herokuClient(requestsHandler):
_class_fields = {
'schema': {
'account_email': 'noreply@collectiveacuity.com',
'account_password': 'abcDEF12... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/platforms/heroku.py",
"copies": "1",
"size": "18466",
"license": "mit",
"hash": 5908408724735964000,
"line_mean": 38.3231441048,
"line_max": 150,
"alpha_frac": 0.5546409618,
"autogenerated": false,
"ratio": 4.156200765248705,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__license__ = 'MIT'
'''
deploy to heroku
deploy to EC2
TODO: deploy to other platforms (azure, gcp, bluemix, rackspace, openshift)
'''
_deploy_details = {
'title': 'Deploy',
'description': 'Deploys a service to a remote platform. Deploy is currently... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/deploy.py",
"copies": "1",
"size": "32208",
"license": "mit",
"hash": 6493033301984663000,
"line_mean": 44.0801144492,
"line_max": 613,
"alpha_frac": 0.5128849975,
"autogenerated": false,
"ratio": 4.788581623550401,
"config... |
__author__ = 'rc'
import argparse
import os
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--directory", help="Path of new playbook", default="./")
parser.add_argument("-n", "--name", help="Playbook name")
args = parser.parse_args()
if not args.name:
print parser.print_help()
... | {
"repo_name": "rowancarr/ansible-playbook-init",
"path": "playbook_init/__main__.py",
"copies": "1",
"size": "2207",
"license": "apache-2.0",
"hash": -4789462260454644000,
"line_mean": 25.2857142857,
"line_max": 88,
"alpha_frac": 0.5854100589,
"autogenerated": false,
"ratio": 3.318796992481203,
... |
__author__ = 'rdfm'
import argparse
import sys
import os
import httplib2
from apiclient import discovery, errors
from oauth2client import client
from oauth2client.file import Storage
from oauth2client.tools import run
from googleapiclient.http import MediaFileUpload
import MySQLdb as mdb
import magic
class RedmineP... | {
"repo_name": "rockdreamer/redmine-docs-to-drive",
"path": "sync.py",
"copies": "1",
"size": "33899",
"license": "mit",
"hash": -7722518627660361000,
"line_mean": 40.1395631068,
"line_max": 147,
"alpha_frac": 0.533998053,
"autogenerated": false,
"ratio": 3.9022677564176353,
"config_test": false... |
__author__ = 'rd'
from django.http import HttpResponse
from django.utils import simplejson
def json_response(view):
def wrap(request, *args, **kwargs):
res = view(request, *args, **kwargs)
if res is None:
res = {'error': 'no data'}
if isinstance(res, (dict, list)):
... | {
"repo_name": "rodgar-nvkz/RBE",
"path": "RBE/main/decorators.py",
"copies": "1",
"size": "1122",
"license": "unlicense",
"hash": 1714982077706994700,
"line_mean": 33.0303030303,
"line_max": 108,
"alpha_frac": 0.5561497326,
"autogenerated": false,
"ratio": 4.0359712230215825,
"config_test": fal... |
__author__ = 'rd'
# The function localize takes the following arguments:
#
# colors: a 2D list, each entry either 'R' (for a red cell) or 'G' (for a green cell)
#
# measurements: a list of measurements taken by the robot, each entry either 'R' or 'G'
#
# motions: a list of actions taken by the robot, each e... | {
"repo_name": "minhtriet/hacker_rank",
"path": "cs373/localization.py",
"copies": "1",
"size": "3770",
"license": "apache-2.0",
"hash": 4283426147097353700,
"line_mean": 40.4395604396,
"line_max": 104,
"alpha_frac": 0.5732095491,
"autogenerated": false,
"ratio": 3.0501618122977345,
"config_test... |
__author__ = 'rdy'
# -*- coding: utf-8 -*-
import datetime
import time
from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR
from pytz import utc
from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
from apscheduler.executors.poo... | {
"repo_name": "cherrishes/weilai",
"path": "weilai/apscheduler/run.py",
"copies": "1",
"size": "1428",
"license": "apache-2.0",
"hash": 5852371314751276000,
"line_mean": 22.1206896552,
"line_max": 114,
"alpha_frac": 0.7134328358,
"autogenerated": false,
"ratio": 3.094688221709007,
"config_test"... |
__author__ = 'rdy'
from bson import ObjectId
from util.mongodbutil import get_db
class Handle:
def get_total_dev(self, user_id):
"""
获取统计数量
:return:
"""
db = get_db()
try:
normal = 0
error = 0
devices = db.ebc_user_device.find({'... | {
"repo_name": "cherrishes/weilai",
"path": "xingxing/app/freezer/api/room_dev_list/room_list/handler.py",
"copies": "2",
"size": "9011",
"license": "apache-2.0",
"hash": 7792727131523870000,
"line_mean": 39.2300469484,
"line_max": 117,
"alpha_frac": 0.5018088458,
"autogenerated": false,
"ratio": ... |
__author__ = 'rdy'
from util.mongodbutil import get_db
from datetime import date
import datetime
from bson import ObjectId
class Handle:
def get_temperature_gui(self):
db = get_db()
"""
#当前数据库 柜温，湿度，环温各插入楼5条模拟数据
db.ebc_status.save({'type':3,'device_id':'1','value':33,'content':'当前... | {
"repo_name": "cherrishes/weilai",
"path": "xingxing/app/freezer/api/room_dev_list/dev_list/handler.py",
"copies": "2",
"size": "5763",
"license": "apache-2.0",
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"line_mean": 34.2721518987,
"line_max": 114,
"alpha_frac": 0.4649201507,
"autogenerated": false,
"ratio": ... |
__author__ = 'rebecca'
import pandas
import numpy as np
def sma(prices, n_periods):
"""
Returns the rolling mean of a given list of stock prices "prices"
over a period of time "n_periods". Interfaces with Pandas, so the details are
sort of unknown to me.
n_periods, for a typical SMA, is equivale... | {
"repo_name": "rpazyaquian/PyTA",
"path": "pyta.py",
"copies": "1",
"size": "4730",
"license": "mit",
"hash": 5812092119223339000,
"line_mean": 26.5058139535,
"line_max": 90,
"alpha_frac": 0.6357293869,
"autogenerated": false,
"ratio": 3.3979885057471266,
"config_test": false,
"has_no_keyword... |
__author__ = 'redwards'
import os
def neighborsof(i,j, scorematrix):
neighbors = []
if i - 1 >= 0 and j - 1 >= 0:
neighbors.append(scorematrix[i-1][j-1])
neighbors.append(scorematrix[i-1][j])
neighbors.append(scorematrix[i][j-1])
elif i - 1 >= 0:
neighbors.append(scoremat... | {
"repo_name": "linsalrob/EdwardsLab",
"path": "perl/alignment/edit_distance.py",
"copies": "2",
"size": "1215",
"license": "mit",
"hash": 6966981859579398000,
"line_mean": 24.8723404255,
"line_max": 97,
"alpha_frac": 0.5382716049,
"autogenerated": false,
"ratio": 3,
"config_test": false,
"has... |
__author__ = 'redwards'
import os
from array import array
from matrices import blosum62
def score(a, b):
blosum = blosum62()
if a in blosum and b in blosum[a]:
return blosum[a][b]
elif b in blosum and a in blosum[b]:
return blosum[b][a]
else:
sys.stderr.write("Can not score am... | {
"repo_name": "linsalrob/EdwardsLab",
"path": "perl/alignment/local_alignment.py",
"copies": "2",
"size": "2920",
"license": "mit",
"hash": 5718574486898304000,
"line_mean": 31.0879120879,
"line_max": 104,
"alpha_frac": 0.5071917808,
"autogenerated": false,
"ratio": 3.0259067357512954,
"config_... |
__author__ = 'redwards'
import os
import sys
from array import array
from matrices import blosum62
def score(a, b):
blosum = blosum62()
if a in blosum and b in blosum[a]:
return blosum[a][b]
elif b in blosum and a in blosum[b]:
return blosum[b][a]
else:
sys.stderr.write("Can n... | {
"repo_name": "linsalrob/bioinformatics",
"path": "Modules/alignment/gapped_alignment.py",
"copies": "2",
"size": "3856",
"license": "mit",
"hash": 4385012404036280300,
"line_mean": 32.8245614035,
"line_max": 105,
"alpha_frac": 0.5355290456,
"autogenerated": false,
"ratio": 2.7661406025824964,
... |
__author__ = 'Reem'
import numpy as np
import random
# creates an array with random float values within a range with size
def random_floats_array(low, high, size):
return [random.uniform(low, high) for _ in xrange(size)]
# creates an array with random int values within a range with size
def random_int_array(low... | {
"repo_name": "Reemh/taco_server",
"path": "src/generator.py",
"copies": "1",
"size": "1744",
"license": "bsd-3-clause",
"hash": -3705818174644520400,
"line_mean": 30.7272727273,
"line_max": 90,
"alpha_frac": 0.630733945,
"autogenerated": false,
"ratio": 3.1882998171846437,
"config_test": false... |
__author__ = 'Reem'
import numpy as np
import random
def add_row(my_array, index, new_row):
# no out of range index
# the size of the new row should match the existing rows
# unless it's an empty array anyway
if index <= len(my_array) and (len(my_array) == 0 or len(new_row) == len(my_array[0])):
... | {
"repo_name": "Reemh/taco_server",
"path": "src/test1.py",
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"size": "5648",
"license": "bsd-3-clause",
"hash": -1726210211172203500,
"line_mean": 32.2294117647,
"line_max": 108,
"alpha_frac": 0.6005665722,
"autogenerated": false,
"ratio": 3.0812875068194217,
"config_test": false,
... |
__author__ = 'Reem'
import diff_cache
import json
import os
import numpy as np
from sklearn import manifold
data_directory = 'plugins/taco_server/MDS_data/'
# this cache should cache the result with positions from MDS
# todo either use the following functions or delete them
def get_mds_cache(name):
file_name = d... | {
"repo_name": "Reemh/taco_server",
"path": "src/graph.py",
"copies": "1",
"size": "3232",
"license": "bsd-3-clause",
"hash": -6690916298882284000,
"line_mean": 33.0210526316,
"line_max": 119,
"alpha_frac": 0.5792079208,
"autogenerated": false,
"ratio": 3.4056902002107483,
"config_test": false,
... |
__author__ = 'Reem'
import flask
import timeit
from src import diff_cache, graph, diff_finder
import ujson
#create an Flask app for hosting my namespace
app = flask.Flask(__name__)
#request my configuration
#import caleydo_server.config
#config = caleydo_server.config.view('taco_server')
@app.route('/hello/<whom>')
... | {
"repo_name": "Reemh/taco_server",
"path": "api.py",
"copies": "1",
"size": "2047",
"license": "bsd-3-clause",
"hash": -9149994229870705000,
"line_mean": 28.6666666667,
"line_max": 89,
"alpha_frac": 0.6526624328,
"autogenerated": false,
"ratio": 3.0781954887218044,
"config_test": false,
"has_... |
__author__ = 'Reem'
import logging
# the logging
def init_log(log_file):
# logging.basicConfig(level=logging.INFO,
# #format='%(message)s',
# format='%(asctime)s\t%(message)s',
# datefmt='%d-%m-%Y %H:%M:%S',
# filenam... | {
"repo_name": "Reemh/taco_server",
"path": "src/logger.py",
"copies": "1",
"size": "1223",
"license": "bsd-3-clause",
"hash": 4304010592379522600,
"line_mean": 31.2105263158,
"line_max": 79,
"alpha_frac": 0.5290269828,
"autogenerated": false,
"ratio": 3.5865102639296187,
"config_test": false,
... |
__author__ = 'Reem'
# This file contains the main functions that deal with caching the diff
# at different levels of details
# detail (as detail), middle (as count), overview (as ratios)
from diff_finder import Table, DiffFinder, Diff, Levels, Ratios
import caleydo_server.dataset as dataset
import timeit
import json
... | {
"repo_name": "Reemh/taco_server",
"path": "src/diff_cache.py",
"copies": "1",
"size": "4912",
"license": "bsd-3-clause",
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"line_max": 116,
"alpha_frac": 0.6215390879,
"autogenerated": false,
"ratio": 3.3574846206425155,
"config_test": fal... |
__author__ = 'reggie'
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "tweetreinject",
##"object_poi": "qpwo-2345",
##"parameters": [
##
## ],
##"return": [
## {
## "name": "tweet",
## "description": "raw tweet",
## "requ... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/reinjector/tweetreinject.py",
"copies": "1",
"size": "4842",
"license": "mit",
"hash": -8552122267542316000,
"line_mean": 28.5243902439,
"line_max": 100,
"alpha_frac": 0.4229657166,
"autogenerated": false,
"ratio": 3.3931324456902594,
"co... |
__author__ = 'reggie'
#commit 123
import sys
import argparse
import logging
from pumpkin import *
main()
#
#log = logging.getLogger("root")
#log.setLevel(logging.DEBUG)
##log.setLevel(logging.INFO)
#
#
#parser = argparse.ArgumentParser(description='Harness for Datafluo jobs')
#parser.add_argument('--noplugins',act... | {
"repo_name": "recap/pumpkin",
"path": "DRHarness.py",
"copies": "1",
"size": "10047",
"license": "mit",
"hash": 8899454854882652000,
"line_mean": 25.0961038961,
"line_max": 444,
"alpha_frac": 0.6025679307,
"autogenerated": false,
"ratio": 2.998209489704566,
"config_test": false,
"has_no_keyw... |
{
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkPeers.py",
"copies": "1",
"size": "4812",
"license": "mit",
"hash": -3471850091719191000,
"line_mean": 30.0451612903,
"line_max": 131,
"alpha_frac": 0.4530340815,
"autogenerated": false,
"ratio": 3.0207156308851224,
"config_test": false,
"has... | |
{
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkPackets.py",
"copies": "1",
"size": "3239",
"license": "mit",
"hash": 3265325694002081300,
"line_mean": 25.3333333333,
"line_max": 90,
"alpha_frac": 0.513430071,
"autogenerated": false,
"ratio": 3.2983706720977595,
"config_test": false,
"has_... | |
__author__ = 'reggie'
import inspect
import uuid
import copy
import tarfile
import shutil
import tftpy
import time
import thread
import collections
import networkx as nx
import ujson as json
import json as sjson
import logging
import inspect
import zmq
from numpy import arange,array,ones,linalg
import PmkShared
from... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkSeed.py",
"copies": "1",
"size": "38213",
"license": "mit",
"hash": 2820813250091321300,
"line_mean": 29.1134751773,
"line_max": 262,
"alpha_frac": 0.4784235731,
"autogenerated": false,
"ratio": 3.6060205718599603,
"config_test": false,
"has_... |
__author__ = 'reggie'
import logging
import threading
import os
import socket
import subprocess as sp
import time
from socket import *
from threading import *
try:
import psutil
CPU = True
except ImportError:
CPU = False
pass
LOG_LEVEL = logging.NOTSET
UDP_BROADCAST_PORT = 7700
TFTP_FILE_SERVER_POR... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkShared.py",
"copies": "1",
"size": "3811",
"license": "mit",
"hash": 7227701088053891000,
"line_mean": 23.4294871795,
"line_max": 151,
"alpha_frac": 0.5843610601,
"autogenerated": false,
"ratio": 3.4057193923145666,
"config_test": false,
"has... |
__author__ = 'reggie'
import pika
import time
import ujson as json
from Queue import *
from PmkShared import *
class mx(Queue):
def __init__(self, maxsize=0):
Queue.__init__(self, maxsize)
pass
class lx(Queue):
def __init__(self, maxsize=0):
Queue.__init__(self, maxsize)
pass... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkMonitor.py",
"copies": "1",
"size": "2704",
"license": "mit",
"hash": -753632247053487400,
"line_mean": 28.0860215054,
"line_max": 127,
"alpha_frac": 0.5806213018,
"autogenerated": false,
"ratio": 4.103186646433991,
"config_test": false,
"has... |
__author__ = 'reggie'
import sys
import shelve
import os
import shutil
import imp
import PmkSeed
import re
import logging
import json
import PmkShared
from PmkExternalDispatch import *
from PmkInternalDispatch import *
from PmkMonitor import *
from PmkBroadcast import *
from PmkProcessGraph import *
class MainCon... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkContexts.py",
"copies": "1",
"size": "20017",
"license": "mit",
"hash": -7971568765363557000,
"line_mean": 29.7480798771,
"line_max": 143,
"alpha_frac": 0.4540640456,
"autogenerated": false,
"ratio": 3.9411301437290804,
"config_test": false,
... |
__author__ = 'reggie'
import tftpy
import PmkSeed
import PmkShared
from PmkShared import *
try:
from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.handlers import FTPHandler
from pyftpdlib.servers import FTPServer
except ImportError:
from pyftpdlib.contrib.authorizers import DummyAuthor... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkFtpServer.py",
"copies": "1",
"size": "1782",
"license": "mit",
"hash": 2150115796679510300,
"line_mean": 27.7419354839,
"line_max": 78,
"alpha_frac": 0.6593714927,
"autogenerated": false,
"ratio": 3.832258064516129,
"config_test": false,
"ha... |
__author__ = 'reggie'
import ujson as json
import pyinotify, os
import PmkShared
import PmkSeed
import time
from pyinotify import WatchManager, Notifier, ThreadedNotifier, EventsCodes, ProcessEvent
from PmkShared import *
class PacketFileMonitor(SThread):
def __init__(self, context, dir, ext="pkt"):
ST... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkDataCatch.py",
"copies": "1",
"size": "5212",
"license": "mit",
"hash": -6846203841879132000,
"line_mean": 33.5165562914,
"line_max": 96,
"alpha_frac": 0.4886799693,
"autogenerated": false,
"ratio": 4.04031007751938,
"config_test": false,
"ha... |
__author__ = 'reggie'
import ujson as json
import Queue
import zmq
import time
import pika
import zlib
import base64
import PmkSeed
import PmkBroadcast
import PmkShared
from PmkShared import *
from Queue import *
class rx(Queue):
def __init__(self, maxsize=0):
Queue.__init__(self, maxsize)
pass
... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkInternalDispatch.py",
"copies": "1",
"size": "15836",
"license": "mit",
"hash": 4014527955154924000,
"line_mean": 32.8376068376,
"line_max": 141,
"alpha_frac": 0.4530815863,
"autogenerated": false,
"ratio": 3.887088856161021,
"config_test": fal... |
__author__ = 'reggie'
import uuid
import re
import imp
import signal
import sys
import argparse
import logging
import shutil
import errno
import ConfigParser
import cProfile, pstats
import pika
import multiprocessing
import shelve, os, fcntl, new
import __builtin__
from fcntl import LOCK_SH, LOCK_EX, LOCK_UN, LOCK... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/Pumpkin.py",
"copies": "1",
"size": "21746",
"license": "mit",
"hash": 2706268431064952300,
"line_mean": 34.8253706755,
"line_max": 132,
"alpha_frac": 0.5696219994,
"autogenerated": false,
"ratio": 4.014399113900683,
"config_test": true,
"has_no... |
__author__ = 'reggie'
import re
import json
from numpy import arange,array,ones,linalg
#from pylab import plot,show, savefig
from socket import *
import PmkSeed
import PmkContexts
import time
import datetime
import base64
from PmkShared import *
import BaseHTTPServer
CONTEXT = None
class Head(object):
d... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkHTTPServer.py",
"copies": "1",
"size": "26355",
"license": "mit",
"hash": -6670138732841369000,
"line_mean": 31.86159601,
"line_max": 196,
"alpha_frac": 0.4379055208,
"autogenerated": false,
"ratio": 3.8041281755196303,
"config_test": false,
... |
__author__ = 'reggie'
import ujson as json
import time
import Queue
import zmq
import copy
import re
import socket
import networkx as nx
import pika
import zlib
from networkx.readwrite import json_graph
from Queue import *
from PmkShared import *
class tx(Queue):
def __init__(self, maxsize=0):
Que... | {
"repo_name": "recap/pumpkin",
"path": "pumpkin/PmkExternalDispatch.py",
"copies": "1",
"size": "20243",
"license": "mit",
"hash": -4220403565214236700,
"line_mean": 31.8087520259,
"line_max": 137,
"alpha_frac": 0.4766091982,
"autogenerated": false,
"ratio": 4.193702092396934,
"config_test": fa... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "bedpostX",
##"object_poi": "bedpostX-0001",
##"auto-load": true,
##"parameters": [
## {
## "name": "bedpostx_input",
## "type": "Composite",
## "state" : "DTI_PREPROC2"
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/tracula/bedpostX.py",
"copies": "1",
"size": "2748",
"license": "mit",
"hash": 3589757007949470700,
"line_mean": 25.1714285714,
"line_max": 82,
"alpha_frac": 0.4967248908,
"autogenerated": false,
"ratio": 3.087640449438202,
"config_test": false,
... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "collectorhaiku",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "english haiku tweets",
## "required": true,
## "type... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/collectors/collectorhaiku.py",
"copies": "1",
"size": "1214",
"license": "mit",
"hash": -2847191671524398600,
"line_mean": 18.9180327869,
"line_max": 62,
"alpha_frac": 0.4530477759,
"autogenerated": false,
"ratio": 3.3910614525139664,
"co... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "collectorhasa",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "english haiku tweets",
## "required": true,
## "type"... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/collectors/collectorhasa.py",
"copies": "1",
"size": "1161",
"license": "mit",
"hash": -8713920827480059000,
"line_mean": 19.3684210526,
"line_max": 62,
"alpha_frac": 0.4711455642,
"autogenerated": false,
"ratio": 3.4451038575667656,
"con... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "collectorisa",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "english haiku tweets",
## "required": true,
## "type":... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/collectors/collectorisa.py",
"copies": "1",
"size": "1176",
"license": "mit",
"hash": 8525014311000314000,
"line_mean": 19.6315789474,
"line_max": 62,
"alpha_frac": 0.4676870748,
"autogenerated": false,
"ratio": 3.4486803519061584,
"confi... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "dti_prep",
##"object_poi": "dti_prep-0001",
##"auto-load": true,
##"parameters": [
## {
## "name": "dti_input",
## "type": "Composite",
## "state" : "DTI_RAW"
## }
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/tracula/dti_prep.py",
"copies": "1",
"size": "2000",
"license": "mit",
"hash": 5192074308374352000,
"line_mean": 23.0963855422,
"line_max": 106,
"alpha_frac": 0.5255,
"autogenerated": false,
"ratio": 2.9895366218236172,
"config_test": false,
"h... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "filterenglish",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "raw numbers",
## "required": true,
## "type": "TweetS... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/filters-cat1/filterenglish.py",
"copies": "1",
"size": "2727",
"license": "mit",
"hash": 8097579843896340000,
"line_mean": 27.1134020619,
"line_max": 164,
"alpha_frac": 0.4422442244,
"autogenerated": false,
"ratio": 3.588157894736842,
"co... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "filterhaikus",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "english tweets",
## "required": true,
## "type": "Twee... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/filters-cat2/filterhaikus.py",
"copies": "1",
"size": "3418",
"license": "mit",
"hash": 3389837827390922000,
"line_mean": 26.126984127,
"line_max": 80,
"alpha_frac": 0.4049151551,
"autogenerated": false,
"ratio": 3.8973774230330673,
"conf... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "filterisa",
##"object_poi": "qpwo-2345",
##"parameters": [
## {
## "name": "tweet",
## "description": "english tweets",
## "required": true,
## "type": "TweetSt... | {
"repo_name": "recap/pumpkin",
"path": "examples/tweeter/filters-cat4/filterisa.py",
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__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "freesurfer-0001",
##"auto-load": true,
##"parameters": [
## {
## "name": "mri_input",
## "type": "Composite",
## "state" : "MRI_RAW"
## }
#... | {
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__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "injector-9192",
##"auto-load": true,
##"remoting" : true,
##"parameters": [
## {
## "name": "inject",
## "type": "Composite",
## "state" : "ALL_RAW",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/tracula/injector.py",
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"has_... |
__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "my-processor-1234",
##"auto-load": true,
##"remoting" : true,
##"parameters": [
## {
## "name": "data",
## "description": "file data",
## "required": t... | {
"repo_name": "recap/pumpkin",
"path": "examples/echo/processor.py",
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... |
__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "my-producer-1234",
##"auto-load": true,
##"parameters": [ ],
##"return": [
## {
## "name": "data",
## "description": "file data",
## "required": true,
## ... | {
"repo_name": "recap/pumpkin",
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"ratio": 3.25,
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"has_no_... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "receiver",
##"object_poi": "my-receiver-1234",
##"auto-load": true,
##"parameters": [
## {
## "name": "data",
## "description": "file data",
## "required": true,
## ... | {
"repo_name": "recap/pumpkin",
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__author__ = 'reggie'
###START-CONF
##{
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##"auto-load": true,
##"parameters": [
## {
## "name": "",
## "type": "Internal",
## "state" : "TRACE_OUT"
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/system/tracer_collector.py",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "tracula",
##"object_poi": "tracula-1234",
##"auto-load": true,
##"parameters": [
## {
## "name": "tracula_input",
## "type": "Composite",
## "state" : "MRI_BRAINSEGMENT&DTI_PREPROC... | {
"repo_name": "recap/pumpkin",
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... |
__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "my-ampl-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## "state" :... | {
"repo_name": "recap/pumpkin",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "calibcalc",
##"object_poi": "my-calibcalc-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "skymodel",
## "description": "",
## "required": true,
## "type": "String",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/calibcalc.py",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "fitclock",
##"object_poi": "my-fitclock-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## "... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/fitclock.py",
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__author__ = 'reggie'
###START-CONF
##{
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##"object_poi": "vph-101",
##"group" : "public",
##"remoting" : "False",
##"parameters": [
## {
## "name": "GenInputParam",
## "description": "parameters file",
## "requir... | {
"repo_name": "recap/pumpkin",
"path": "examples/sa/GenInput/GenInput.py",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "h5impcalc",
##"object_poi": "my-h5impcalc-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## ... | {
"repo_name": "recap/pumpkin",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "ndppp",
##"object_poi": "my-ndppp-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "name to greet",
## "required": true,
## "type": "String",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/ndppp.py",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "output",
##"object_poi": "my-output-1234",
##"parameters": [ {
## "name": "output",
## "description": "a output",
## "required": true,
## "type": "String",
## "state" : "PLOT&P... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/output.py",
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"autogenerated": false,
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "phase",
##"object_poi": "my-phase-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## "state"... | {
"repo_name": "recap/pumpkin",
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"autogenerated": false,
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "plotcalphases",
##"object_poi": "my-plotcalphases-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/plotcalphases.py",
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"autogenerated": false,
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "plot",
##"object_poi": "my-plot-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "name",
## "description": "",
## "required": true,
## "type": "String",
## "state" :... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/plot.py",
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "skycal",
##"object_poi": "my-skycal-1234",
##"auto-load" : true,
##"parameters": [ {
## "name": "calibrated",
## "description": "",
## "required": true,
## "type": "String",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/prefactor/tasks/skycal.py",
"copies": "1",
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"license": "mit",
"hash": 3225557367103671000,
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"autogenerated": false,
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__author__ = 'reggie'
###START-CONF
##{
##"object_name": "Sobol",
##"object_poi": "vph-101",
##"group" : "public",
##"remoting" : "False",
##"parameters": [
## {
## "name": "Sobol",
## "description": "data directory tarred",
## "required": ... | {
"repo_name": "recap/pumpkin",
"path": "examples/sa/Sobol/Sobol.py",
"copies": "1",
"size": "2598",
"license": "mit",
"hash": -1502548878639677700,
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... |
__author__ = 'reggie'
###START-CONF
##{
##"object_name": "StubModel",
##"object_poi": "vph-101",
##"group" : "public",
##"remoting" : "False",
##"parameters": [
## {
## "name": "StubModelParam",
## "description": "data directory tarred",
## ... | {
"repo_name": "recap/pumpkin",
"path": "examples/sa/Models/StubModel.py",
"copies": "1",
"size": "3864",
"license": "mit",
"hash": -3344909304955190300,
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__author__ = 'reimu'
import math
import pygame
from gameobjects.vector2 import Vector2
SCR_SIZE = (480, 800) # 屏幕大小
# class bullet
class Bullet:
def __init__(self, surface, parent, direction=(0, 1), speed=4, radius=2, target=None):
self.__surface = surface # 自身图像
self.__xPos = parent.get_pos(... | {
"repo_name": "Yuvv/LearnTestDemoTempMini",
"path": "py-py/learn_unit_test/bullet.py",
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"size": "2139",
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"ratio": 2.324228028503563,
"conf... |
__author__ = 'reisuke'
from flask import Flask
from flask_restful import Resource, Api, reqparse
import base64
import numpy as np
import cv2
from sys import argv
app = Flask(__name__)
api = Api(app)
class ImageConvert(Resource):
def __init__(self):
self.parser = reqparse.RequestParser()
self.par... | {
"repo_name": "Raizan/FlaskGrayscaleWebservice",
"path": "app.py",
"copies": "1",
"size": "1921",
"license": "mit",
"hash": -388336160163156600,
"line_mean": 31.0333333333,
"line_max": 88,
"alpha_frac": 0.6434148881,
"autogenerated": false,
"ratio": 3.6382575757575757,
"config_test": false,
"... |
__author__ = "rekenerd"
import endpoints
from protorpc import message_types
from protorpc import messages
from protorpc import remote
from helper.settings import anno_js_client_id
from model.anno import Anno
from model.userannostate import UserAnnoState
@endpoints.api(name="userannostate", version="1.0", description... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/userannostate_api.py",
"copies": "1",
"size": "1172",
"license": "mpl-2.0",
"hash": 8380226615846148000,
"line_mean": 34.5151515152,
"line_max": 103,
"alpha_frac": 0.7013651877,
"autogenerated": false,
"ratio": 3.732484076433121,
"co... |
__author__ = "rekenerd"
import logging
from model.userannostate import UserAnnoState
from model.userrole import UserRole
from tasks.push_notifications_task import PushTaskQueue
from helper.utils_enum import AnnoActionType
from helper.utils_enum import PlatformType
from helper.utils_enum import AnnoPushNotificationMes... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/helper/activity_push_notifications.py",
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"size": "7224",
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__author__ = "rekenerd"
'''
AppInfo API implemented using Google Cloud Endpoints.
'''
import logging
import endpoints
from protorpc import message_types
from protorpc import messages
from protorpc import remote
from helper.settings import anno_js_client_id
from helper.utils import getAppInfo
from message.appinfo_me... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/appinfo_api.py",
"copies": "1",
"size": "2067",
"license": "mpl-2.0",
"hash": 3823170292098955300,
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"alpha_frac": 0.7121432027,
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"ratio": 3.7650273224043715,
"config_t... |
__author__ = "rekenerd"
"""
Invite data store model definition.
"""
import uuid
from google.appengine.ext import ndb
from model.base_model import BaseModel
from model.community import Community
from model.user import User
from model.userrole import UserRole
from helper.utils_enum import UserRoleType
class Invite(B... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/model/invite.py",
"copies": "1",
"size": "3501",
"license": "mpl-2.0",
"hash": -6363959305945510000,
"line_mean": 32.0283018868,
"line_max": 91,
"alpha_frac": 0.5829762925,
"autogenerated": false,
"ratio": 4.218072289156627,
"config_test... |
__author__ = "Remigius Kalimba"
"""Add a timer so it does this automatically everyday at a set time"""
import pickle
import crontab as CronTab
import json
import os
import sys
from subprocess import call
import getpass
pwd = os.path.dirname(os.path.abspath(__file__))
def schedule_start(folders):
"""Starts a ... | {
"repo_name": "blavejr/OrganiseDesktop",
"path": "organise_desktop/cronController.py",
"copies": "1",
"size": "1499",
"license": "mit",
"hash": -2906812272534630000,
"line_mean": 26.7592592593,
"line_max": 97,
"alpha_frac": 0.5903935957,
"autogenerated": false,
"ratio": 3.594724220623501,
"conf... |
__author__ = 'Remy Mourard'
class DeeHeap:
"""
constructeur - le tas est indexé à partir de
zéro contrairement au tas binaire indexé à partir de 1
a = tableau a convertir en tas
d = nombre d'enfants max par noeud
"""
def __init__(self, a, d):
self.heap = ... | {
"repo_name": "jee4404/jeeHeap",
"path": "deeHeap.py",
"copies": "1",
"size": "5151",
"license": "unlicense",
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"has_n... |
__author__ = 'renanalencar'
from django import forms
from .models import SignUp
class ContactForm(forms.Form):
full_name = forms.CharField(required=False)
email = forms.EmailField()
message = forms.CharField()
def clean_email(self):
email = self.cleaned_data.get('email')
email_base, ... | {
"repo_name": "renanalencar/hermes",
"path": "newsletter/forms.py",
"copies": "1",
"size": "1331",
"license": "mit",
"hash": 8436512540864261000,
"line_mean": 32.275,
"line_max": 84,
"alpha_frac": 0.6153268219,
"autogenerated": false,
"ratio": 4.1080246913580245,
"config_test": false,
"has_no... |
__author__ = 'renanalencar'
"""
Django settings for hermes project.
Generated by 'django-admin startproject' using Django 1.8.3.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref... | {
"repo_name": "renanalencar/hermes",
"path": "hermes/settings/base.py",
"copies": "1",
"size": "4899",
"license": "mit",
"hash": 3606233467272551000,
"line_mean": 24.9206349206,
"line_max": 87,
"alpha_frac": 0.6774852011,
"autogenerated": false,
"ratio": 3.2551495016611294,
"config_test": false... |
__author__ = 'Renato'
from collections import namedtuple
from pyctionary import translate
KeyboardEvent = namedtuple('KeyboardEvent', ['event_type', 'key_code',
'scan_code', 'alt_pressed',
'time'])
# Blocking method. You must ... | {
"repo_name": "pastahito/PyStrokes",
"path": "pkghito/Hook3v2.py",
"copies": "1",
"size": "2555",
"license": "mit",
"hash": -8199466391720028000,
"line_mean": 35.5,
"line_max": 114,
"alpha_frac": 0.6,
"autogenerated": false,
"ratio": 3.7136627906976742,
"config_test": false,
"has_no_keywords"... |
__author__ = 'Renato'
from collections import namedtuple
KeyboardEvent = namedtuple('KeyboardEvent', ['event_type', 'key_code',
'scan_code', 'alt_pressed',
'time'])
handlers = []
def listen():
"""
Calls `handlers` for ... | {
"repo_name": "pastahito/PyStrokes",
"path": "pkghito/Hook3.py",
"copies": "1",
"size": "2190",
"license": "mit",
"hash": -7315551400782335000,
"line_mean": 35.5,
"line_max": 87,
"alpha_frac": 0.596347032,
"autogenerated": false,
"ratio": 3.7244897959183674,
"config_test": false,
"has_no_keyw... |
__author__ = 'Renato'
from ctypes import *
user32 = windll.user32
# START SENDINPUT TYPE DECLARATIONS
PUL = POINTER(c_ulong)
#
class KeyBdInput(Structure):
_fields_ = [("wVk", c_ushort),
("wScan", c_ushort),
("dwFlags", c_ulong),
("time", c_ulong),
... | {
"repo_name": "pastahito/PyStrokes",
"path": "pkghito/const/input_structures.py",
"copies": "1",
"size": "1132",
"license": "mit",
"hash": -6159404588711725000,
"line_mean": 19.9814814815,
"line_max": 39,
"alpha_frac": 0.480565371,
"autogenerated": false,
"ratio": 3.369047619047619,
"config_tes... |
__author__ = 'Renato'
from hardware_scan_code import *
from virtual_key_code import *
from itertools import chain
arrows = {'left': [37, 0xCB], 'down': [40, 208], 'right': [39, 205], 'up': [38, 200]} # key:[VKC,HSC]
# number_generator = {x%10: [0x30+x, x+1] for x in range(0,10)} # HSC for 0 key must be 11
numbers ... | {
"repo_name": "pastahito/PyStrokes",
"path": "pkghito/const/pyctionary.py",
"copies": "1",
"size": "2478",
"license": "mit",
"hash": 1830819545930170600,
"line_mean": 62.4871794872,
"line_max": 119,
"alpha_frac": 0.4333602585,
"autogenerated": false,
"ratio": 2.273645546372819,
"config_test": f... |
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