text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = 'pjkearns'
import serial
import struct
import time
import datetime
from datetime import datetime
from itertools import islice
import ctypes
import os
import os, re, sys, time, socket
from settings import camaddr
from settings import camport
from decimal import *
# Data variables from mindflex
length =... | {
"repo_name": "pjkearns/NeuroSky_Edison",
"path": "mind_control_cam.py",
"copies": "3",
"size": "9351",
"license": "mit",
"hash": -4214458580039345000,
"line_mean": 31.1340206186,
"line_max": 120,
"alpha_frac": 0.4533205005,
"autogenerated": false,
"ratio": 4.252387448840382,
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__author__ = 'pjuluri'
import config_dash
from adaptation import calculate_rate_index
def basic_dash(segment_number, bitrates, average_dwn_time,
segment_download_time, curr_rate):
"""
Module to predict the next_bitrate using the basic_dash algorithm
:param segment_number: Current segment n... | {
"repo_name": "pari685/AStream",
"path": "dist/client/adaptation/basic_dash.py",
"copies": "1",
"size": "2597",
"license": "mit",
"hash": 8752466138425830000,
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"autogenerated": false,
"ratio": 4.122222222222222,
"config_tes... |
__author__ = 'pjuluri'
import config_dash
def basic_dash2(segment_number, bitrates, average_dwn_time,
recent_download_sizes, previous_segment_times, current_bitrate):
"""
Module to predict the next_bitrate using the basic_dash algorithm. Selects the bitrate that is one lower than the
curr... | {
"repo_name": "pari685/AStream",
"path": "dist/client/adaptation/basic_dash2.py",
"copies": "1",
"size": "2991",
"license": "mit",
"hash": 5450081626005666000,
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"line_max": 119,
"alpha_frac": 0.6242059512,
"autogenerated": false,
"ratio": 4.183216783216783,
"config_te... |
__author__ = 'pkaura'
import os
import requests
from peewee import *
'''
Steps:
- Run a loop on the url :
- Get the data
- Save username,name, phunt_id, votes_count, posts_count, maker_of_count, followers_count, followings_count, created_at to SQLite
- Give queries for highest number of upvotes
'''
db = SqliteDatabas... | {
"repo_name": "puneetkaura/utils",
"path": "pdhunt_data.py",
"copies": "1",
"size": "1841",
"license": "mit",
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"alpha_frac": 0.6458446496,
"autogenerated": false,
"ratio": 3.1578044596912522,
"config_test": false,
"has_no_keywor... |
__author__ = 'pkim'
import csv
import json
import os
def main():
zip_dict = dict()
with open('US.txt', 'r') as f:
reader = csv.reader(f, delimiter='\t')
for row in reader:
if row[9] and row[10]:
this_dict = dict()
this_dict['zipCode'] = row[1]
... | {
"repo_name": "gingerwizard/examples",
"path": "Exploring Public Datasets/usfec/scripts/usfec_process_data.py",
"copies": "7",
"size": "10960",
"license": "apache-2.0",
"hash": 6395678178241079000,
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"alpha_frac": 0.5049270073,
"autogenerated": false,
"r... |
__author__ = 'pknox-kennedy'
import json
def to_json(python_object):
if isinstance(python_object,sound):
return {"__class__":'sound',
'filename': python_object.filename}
def from_json(json_object):
if '__class__' in json_object:
if json_object['__class__'] == 'sound':
... | {
"repo_name": "PDKK/ShowStopper",
"path": "model.py",
"copies": "1",
"size": "1048",
"license": "bsd-3-clause",
"hash": -4677083771982978000,
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"has... |
__author__ = 'pknox-kennedy'
#!/usr/bin/env python
import os
from gi.repository import Gtk
from gi.repository import GObject
from gi.repository.GdkPixbuf import Pixbuf, InterpType
import player
glade_file = os.path.join(os.path.dirname(__file__), "glade/item.glade")
led_file = os.path.join(os.path.dirname(__file__),... | {
"repo_name": "PDKK/ShowStopper",
"path": "item.py",
"copies": "1",
"size": "2297",
"license": "bsd-3-clause",
"hash": 4539998380046624300,
"line_mean": 34.3384615385,
"line_max": 89,
"alpha_frac": 0.624727906,
"autogenerated": false,
"ratio": 3.3779411764705882,
"config_test": false,
"has_no... |
__author__ = 'pkorus'
from swtk.processors import *
# TODO This plugin needs a major improvement!
class BuriedVerbProcessor(Plugin):
run_priority = 75
counter = 0
help = 'Finds sentences with potentially buried verbs (far away from the subject).'
distance_threshold = 3
def __init__(self):
... | {
"repo_name": "pkorus/swtk",
"path": "plugins/buried_verbs.py",
"copies": "1",
"size": "2429",
"license": "mit",
"hash": 2219552488290128000,
"line_mean": 46.6274509804,
"line_max": 117,
"alpha_frac": 0.583367641,
"autogenerated": false,
"ratio": 3.9624796084828713,
"config_test": false,
"has... |
__author__ = 'pkorus'
import os
import imp
import logging
ignore_tags = ['e']
ignore_tokens = ['.', ',', ';', '[', ']', '(', ')', '-', '$', '!', '?']
def dump_as_list(data):
if hasattr(data, '__iter__'):
details = ['<ul>']
for statistic in data:
details.append('<li>{}</li>'.format(st... | {
"repo_name": "pkorus/swtk",
"path": "swtk/processors.py",
"copies": "1",
"size": "4498",
"license": "mit",
"hash": 6877328832721955000,
"line_mean": 31.3597122302,
"line_max": 105,
"alpha_frac": 0.5733659404,
"autogenerated": false,
"ratio": 4.041329739442947,
"config_test": false,
"has_no_k... |
__author__ = 'pkorus'
import os, sys, argparse, re, logging
from swtk import paper
from swtk import processors
# Parse command line arguments
parser = argparse.ArgumentParser(description='Scientific Writing Toolbox')
parser.add_argument('filename', type=str, help='input file (LaTeX, markdown, plaintext)')
parser.add_... | {
"repo_name": "pkorus/swtk",
"path": "swtk-analyzer.py",
"copies": "1",
"size": "3686",
"license": "mit",
"hash": 6466321354788717000,
"line_mean": 38.6451612903,
"line_max": 118,
"alpha_frac": 0.7086272382,
"autogenerated": false,
"ratio": 3.500474833808167,
"config_test": false,
"has_no_key... |
__author__ = 'Plinio H. Vargas'
__date__ = '2015 18, 2:42 PM'
import sys
import copy
matrix = [
[0, 0.268188, 1.0861600, 0.284266, 2.1870300, 2.90507, 1.06443, 0.641625, 0.191624, 3.44142],
[0.1609330, 0, 0.6911510, 0.464564, 1.4049800, 1.96431, 0.168696, 0.6... | {
"repo_name": "phvargas/TSP-python",
"path": "TSP.py",
"copies": "1",
"size": "2642",
"license": "mit",
"hash": -8513546765100938000,
"line_mean": 32.8717948718,
"line_max": 124,
"alpha_frac": 0.4894019682,
"autogenerated": false,
"ratio": 2.3195785776997364,
"config_test": false,
"has_no_key... |
__author__ = 'pmontgom'
import flask
import tempfile
import re
import sqlite3
import threading
import os
import sys
from flask import Flask, render_template, request, g
from boto.s3.connection import S3Connection
app = Flask(__name__)
DB_INIT_STATEMENTS = ["CREATE TABLE CACHED (path STRING primary key, local_path S... | {
"repo_name": "pgm/localcache",
"path": "cache.py",
"copies": "1",
"size": "3677",
"license": "mit",
"hash": -905691351349084200,
"line_mean": 28.6532258065,
"line_max": 124,
"alpha_frac": 0.609736198,
"autogenerated": false,
"ratio": 3.601371204701273,
"config_test": true,
"has_no_keywords":... |
__author__ = 'pnp'
#===============================================================================
# This program:
# 1. Identifies situations where there are three consecutive lines like this:
# *
# *
# *
# and it removes two of the three lines
#
# The program takes one argument:
# - The name of the file to be up... | {
"repo_name": "pnp-software/fwprofile",
"path": "scripts/RemoveTripleBlankCommentLines.py",
"copies": "1",
"size": "1781",
"license": "mpl-2.0",
"hash": 9127192416165422000,
"line_mean": 24.8115942029,
"line_max": 80,
"alpha_frac": 0.4800673779,
"autogenerated": false,
"ratio": 4.2404761904761905... |
__author__ = 'polera'
__email__ = 'james@uncryptic.com'
__since__ = '2011-10-17'
from random import choice
class Srambler(object):
ALPHAS = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
NUMS = "0123456789"
BOOLS = [True, False]
NON_ALPHAS = [' ', ',', '.', '$', '-']
TYPE_... | {
"repo_name": "polera/srambler",
"path": "srambler.py",
"copies": "1",
"size": "1164",
"license": "mit",
"hash": 1803909137512986000,
"line_mean": 27.1,
"line_max": 67,
"alpha_frac": 0.5042955326,
"autogenerated": false,
"ratio": 3.8415841584158414,
"config_test": false,
"has_no_keywords": fa... |
__author__ = 'Pontus'
from glob import iglob
from logging import getLogger
from os import path, walk
from taca.utils.misc import hashfile
logger = getLogger(__name__)
class FileNotFoundException(Exception):
pass
class PatternNotMatchedException(Exception):
pass
def gather_files(patterns, no_checksum=Fal... | {
"repo_name": "vezzi/taca-ngi-pipeline",
"path": "taca_ngi_pipeline/utils/filesystem.py",
"copies": "3",
"size": "4216",
"license": "mit",
"hash": -3674483151199426000,
"line_mean": 40.3333333333,
"line_max": 117,
"alpha_frac": 0.5507590133,
"autogenerated": false,
"ratio": 4.823798627002288,
"... |
__author__ = 'Pontus'
from glob import iglob
from logging import getLogger
from os import path, walk, sep as os_sep
from taca.utils.misc import hashfile
logger = getLogger(__name__)
class FileNotFoundException(Exception):
pass
class PatternNotMatchedException(Exception):
pass
def gather_files(patterns, ... | {
"repo_name": "SciLifeLab/taca-ngi-pipeline",
"path": "taca_ngi_pipeline/utils/filesystem.py",
"copies": "1",
"size": "5689",
"license": "mit",
"hash": -6910158630727534000,
"line_mean": 41.4552238806,
"line_max": 117,
"alpha_frac": 0.5559852347,
"autogenerated": false,
"ratio": 4.434138737334372... |
__author__ = 'popka'
from PageClass.Page import Page
from Utils import utils
import urllib
import urlparse
from selenium.webdriver.support.ui import WebDriverWait
import time
class XssChecker(object):
xss_urls = set([])
small_xss_list = ['<SCRIPT SRC=http://ha.ckers.org/xss.js></SCRIPT>']
other_big_xss... | {
"repo_name": "MyBeautyTeam/xss-checker",
"path": "XssChecker.py",
"copies": "1",
"size": "7715",
"license": "mit",
"hash": -8679937720906853000,
"line_mean": 50.0927152318,
"line_max": 435,
"alpha_frac": 0.6128321452,
"autogenerated": false,
"ratio": 2.9212419538053767,
"config_test": false,
... |
__author__ = 'popka'
from selenium.common.exceptions import WebDriverException, TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
def get_fill_all_input_script(text):
script = 'var inputs = document.querySelectorAll(\"input\"); for (var i=0; i<inputs.length; i++) { inputs[i].value = \'' +... | {
"repo_name": "MyBeautyTeam/xss-checker",
"path": "Utils/utils.py",
"copies": "1",
"size": "1909",
"license": "mit",
"hash": 4586321748811877400,
"line_mean": 29.3015873016,
"line_max": 145,
"alpha_frac": 0.6202200105,
"autogenerated": false,
"ratio": 3.5286506469500925,
"config_test": false,
... |
__author__ = 'popov.sn'
from fixture.new_member import MemberHelper
class UpdateHelper ():
def update_user(self):
wd.find_element_by_css_selector("img[alt=\"Edit\"]").click()
wd.find_element_by_name("firstname").click()
wd.find_element_by_name("firstname").clear()
wd.find_element_... | {
"repo_name": "popovsn777/new_training",
"path": "fixture/fxt_update_member.py",
"copies": "1",
"size": "1354",
"license": "apache-2.0",
"hash": -8562250066350190000,
"line_mean": 51.0769230769,
"line_max": 107,
"alpha_frac": 0.6137370753,
"autogenerated": false,
"ratio": 3.0983981693363845,
"c... |
__author__ = 'popov.sn'
class ContactHelper:
def __init__(self, app):
self.app = app
def add_new_contact(self, contact):
wd = self.app.wd
self.go_to_new_contact_page()
self.fill_contact_form(contact)
wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click... | {
"repo_name": "popovsn777/python_training_2",
"path": "fixture/contact.py",
"copies": "1",
"size": "2167",
"license": "apache-2.0",
"hash": 3122058806500460500,
"line_mean": 31.8484848485,
"line_max": 92,
"alpha_frac": 0.592524227,
"autogenerated": false,
"ratio": 3.370139968895801,
"config_tes... |
__author__ = 'popov.sn'
from model.group import Group
import random
import string
import os.path
import getopt
import sys
import time
import clr
clr.AddReference('Microsoft.Office.Interop.Excel, Version=14.0.0.0, Culture=neutral, PublicKeyToken=71e9bce111e9429c')
from Microsoft.Office.Interop import Excel
try:
... | {
"repo_name": "popovsn777/ironpython_training",
"path": "generator/group.py",
"copies": "1",
"size": "1217",
"license": "apache-2.0",
"hash": -3468529425485316600,
"line_mean": 20.3684210526,
"line_max": 118,
"alpha_frac": 0.6705012325,
"autogenerated": false,
"ratio": 2.975550122249389,
"confi... |
__author__ = 'popov.sn'
from model.group import Group
class GroupHelper:
def __init__(self, app):
self.app = app
def return_to_groups_page(self):
# return to group page
wd = self.app.wd
wd.find_element_by_link_text("group page").click()
def create(self, group):
... | {
"repo_name": "popovsn777/python_training_2",
"path": "fixture/group.py",
"copies": "1",
"size": "2708",
"license": "apache-2.0",
"hash": -5183107927333305000,
"line_mean": 28.4347826087,
"line_max": 101,
"alpha_frac": 0.5875184638,
"autogenerated": false,
"ratio": 3.5077720207253886,
"config_t... |
__author__ = 'popov.sn'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
# login
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
... | {
"repo_name": "popovsn777/python_training_2",
"path": "fixture/session.py",
"copies": "1",
"size": "1374",
"license": "apache-2.0",
"hash": -6051896841239460000,
"line_mean": 27.6458333333,
"line_max": 87,
"alpha_frac": 0.5545851528,
"autogenerated": false,
"ratio": 3.4094292803970223,
"config_... |
__author__ = 'popov.sn'
import pytest
import jsonpickle
import json
import os.path
from fixture.application import Application
from fixture.dp import DbFixture
fixture = None
target = None
def load_config(file):
global target
if target is None:
config_file = os.path.join(os.path.dirname(os.path.abs... | {
"repo_name": "popovsn777/new_training",
"path": "conftest.py",
"copies": "1",
"size": "1433",
"license": "apache-2.0",
"hash": 4545497086037068300,
"line_mean": 24.6071428571,
"line_max": 84,
"alpha_frac": 0.6748080949,
"autogenerated": false,
"ratio": 3.8213333333333335,
"config_test": false,... |
__author__ = 'porky-chu'
import cPickle
import theano
import numpy as np
from theano import tensor as TT
class NodeVectorModel(object):
def __init__(self, n_from, n_to, de, seed=1692, init_params=None):
"""
n_from :: number of from embeddings in the vocabulary
n_to :: number of to embedd... | {
"repo_name": "allentran/graph2vec",
"path": "graph2vec/node_vectors.py",
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"license": "apache-2.0",
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"autogenerated": false,
"ratio": 3.261904761904762,
"config_te... |
__author__ = 'porky-chu'
import random
import os
import logging
import numpy as np
from node_vectors import NodeVectorModel
import parser
class Graph2Vec(object):
def __init__(self, vector_dimensions, output_dir='data'):
self.output_dir = output_dir
self.model = None
self.from_nodes =... | {
"repo_name": "allentran/graph2vec",
"path": "graph2vec/trainer.py",
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"license": "apache-2.0",
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"ratio": 3.5569917743830786,
"config_test": ... |
__author__ = 'Poseidon'
# Import the AW SDK Information
from ctypes import *
aw = CDLL("aw")
AWEVENT = CFUNCTYPE(None)
AWCALLBACK = CFUNCTYPE(None)
# A generic console message function. Call this inside of other functions as necessary
def py_console(session, message):
target_session = session
aw.aw_int_set(3... | {
"repo_name": "PoseidonAW/Py_RPG",
"path": "genericMessaging.py",
"copies": "1",
"size": "1377",
"license": "apache-2.0",
"hash": -7017612562115884000,
"line_mean": 34.3076923077,
"line_max": 86,
"alpha_frac": 0.6681190995,
"autogenerated": false,
"ratio": 2.7106299212598426,
"config_test": fal... |
__author__ = 'Poseidon'
# Import the AW SDK Information
from ctypes import *
aw = CDLL("aw")
AWEVENT = CFUNCTYPE(None)
AWCALLBACK = CFUNCTYPE(None)
import sqlite3
import genericMessaging
db = sqlite3.connect('awrpg.db')
cursor = db.cursor()
from random import randint
session_dict = {}
def player_check(player_s... | {
"repo_name": "PoseidonAW/Py_RPG",
"path": "playerdata.py",
"copies": "1",
"size": "4639",
"license": "apache-2.0",
"hash": -8881013809509482000,
"line_mean": 31.9007092199,
"line_max": 120,
"alpha_frac": 0.5981892649,
"autogenerated": false,
"ratio": 3.9480851063829787,
"config_test": false,
... |
"""This module generates the class hierarchy for any given Python
modules. This can be used (among other things) to generate the
traitified VTK classes in the correct order.
"""
import __builtin__
class TreeNode:
"""Represents a node in the class tree.
Stores information on the sub and super classes of a... | {
"repo_name": "liulion/mayavi",
"path": "tvtk/class_tree.py",
"copies": "2",
"size": "8011",
"license": "bsd-3-clause",
"hash": -6767481128215299000,
"line_mean": 28.8917910448,
"line_max": 75,
"alpha_frac": 0.5752090875,
"autogenerated": false,
"ratio": 4.4137741046831955,
"config_test": false... |
"""This module generates the class hierarchy for any given Python
modules. This can be used (among other things) to generate the
traitified VTK classes in the correct order.
"""
import sys
if sys.version_info[0] > 2:
import builtins
else:
import __builtin__ as builtins
class TreeNode:
"""Represents a... | {
"repo_name": "dmsurti/mayavi",
"path": "tvtk/class_tree.py",
"copies": "2",
"size": "8192",
"license": "bsd-3-clause",
"hash": -7330766994865953000,
"line_mean": 28.7890909091,
"line_max": 75,
"alpha_frac": 0.5756835938,
"autogenerated": false,
"ratio": 4.432900432900433,
"config_test": false,... |
import numpy as np
import scipy
from traits.api import HasTraits, Range, Instance, \
on_trait_change, Array, Tuple, Str
from traitsui.api import View, Item, HSplit, Group
from mayavi import mlab
from mayavi.core.ui.api import MayaviScene, MlabSceneModel, \
SceneEditor
###################################... | {
"repo_name": "HPCGISLab/STDataViz",
"path": "WorkingVersion/LibTry/MayaviGUI/Lorenz ui example.py",
"copies": "1",
"size": "4745",
"license": "bsd-3-clause",
"hash": -8552583538135326000,
"line_mean": 35.2290076336,
"line_max": 82,
"alpha_frac": 0.5001053741,
"autogenerated": false,
"ratio": 3.7... |
from traits.etsconfig.api import ETSConfig
from pyface.api import GUI, ApplicationWindow
from traits.api import HasTraits, Button, Any
from traitsui.api import View, Group, Item
from pyface.util import guisupport
# Globals.
# The GUI instance.
_gui = None
# The stop show instance.
_stop_show = None
def is_ui_runnin... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/tools/show.py",
"copies": "3",
"size": "4517",
"license": "bsd-3-clause",
"hash": 7148057888732891000,
"line_mean": 28.522875817,
"line_max": 79,
"alpha_frac": 0.5193712641,
"autogenerated": false,
"ratio": 4.285578747628083,
"config_test": true,
... |
# Enthought library imports.
from traits.api import Instance, List, Str, Bool
from traitsui.api import View, Group, Item
from tvtk.api import tvtk
from tvtk.common import is_old_pipeline
# Local imports.
from mayavi.core.pipeline_info import PipelineInfo
from mayavi.core.filter import Filter
from mayavi.core.trait_de... | {
"repo_name": "liulion/mayavi",
"path": "mayavi/filters/set_active_attribute.py",
"copies": "3",
"size": "8920",
"license": "bsd-3-clause",
"hash": -2080060266483651800,
"line_mean": 38.4690265487,
"line_max": 80,
"alpha_frac": 0.5290358744,
"autogenerated": false,
"ratio": 4.305019305019305,
"... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `CellDerivatives` class.
##############... | {
"repo_name": "alexandreleroux/mayavi",
"path": "mayavi/filters/cell_derivatives.py",
"copies": "5",
"size": "1598",
"license": "bsd-3-clause",
"hash": 501581959914890430,
"line_mean": 33,
"line_max": 71,
"alpha_frac": 0.5738423029,
"autogenerated": false,
"ratio": 4.618497109826589,
"config_te... |
# Enthought library imports.
from tvtk.tools.tvtk_doc import TVTKFilterChooser, TVTK_FILTERS
# Local imports.
from mayavi.filters.filter_base import FilterBase
from mayavi.core.common import handle_children_state, error
from mayavi.core.pipeline_info import PipelineInfo
#############################################... | {
"repo_name": "alexandreleroux/mayavi",
"path": "mayavi/filters/user_defined.py",
"copies": "5",
"size": "3082",
"license": "bsd-3-clause",
"hash": 3619076701884128000,
"line_mean": 36.1325301205,
"line_max": 80,
"alpha_frac": 0.4746917586,
"autogenerated": false,
"ratio": 4.853543307086614,
"c... |
# Standard library imports.
from os.path import abspath
from io import BytesIO
import copy
# Local imports.
from common import TestCase, get_example_data
class TestSetActiveAttribute(TestCase):
def check(self):
"""Check if the visualization is OK. Note that this is not an
image based check, whi... | {
"repo_name": "dmsurti/mayavi",
"path": "integrationtests/mayavi/test_set_active_attribute.py",
"copies": "1",
"size": "3609",
"license": "bsd-3-clause",
"hash": 6756919893386439000,
"line_mean": 30.1120689655,
"line_max": 74,
"alpha_frac": 0.5710723192,
"autogenerated": false,
"ratio": 3.7790575... |
# Standard library imports.
import numpy
# Enthought library imports.
from traits.api import Instance, Bool, Array, Button, Str
from traitsui.api import View, Group, Item
from tvtk.api import tvtk
import tvtk.common as tvtk_common
# Local imports.
from mayavi.core.filter import Filter
from mayavi.core.pipeline_info ... | {
"repo_name": "liulion/mayavi",
"path": "mayavi/filters/image_data_probe.py",
"copies": "3",
"size": "8924",
"license": "bsd-3-clause",
"hash": 5690084246042218000,
"line_mean": 33.859375,
"line_max": 80,
"alpha_frac": 0.4928283281,
"autogenerated": false,
"ratio": 4.179859484777517,
"config_te... |
# Standard library imports.
# Enthought library imports.
from traits.api import Instance
from traitsui.api import View, Group, Item
# Local imports.
from mayavi.core.pipeline_info import PipelineInfo
from mayavi.filters.optional import Optional
from mayavi.filters.collection import Collection
from mayavi.filters.cel... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/vorticity.py",
"copies": "5",
"size": "3383",
"license": "bsd-3-clause",
"hash": -3369293235040232000,
"line_mean": 38.8,
"line_max": 80,
"alpha_frac": 0.4906887378,
"autogenerated": false,
"ratio": 5.041728763040238,
"config_test": false,... |
# Standard library imports.
# Enthought library imports.
from traits.api import Int, Instance, Str, TraitError
from traitsui.api import View, Group, Item
from tvtk.api import tvtk
from apptools.persistence import state_pickler
# Local imports.
from mayavi.core.common import error
from mayavi.core.pipeline_base impor... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/modules/labels.py",
"copies": "3",
"size": "7916",
"license": "bsd-3-clause",
"hash": 625594688267160200,
"line_mean": 33.4173913043,
"line_max": 80,
"alpha_frac": 0.5010106114,
"autogenerated": false,
"ratio": 4.552041403105233,
"config_test": fa... |
# Enthought library imports.
from traits.api import HasTraits, List, Str, Instance
from apptools.preferences.api import PreferencesHelper
###############################################################################
# `PreferencesMirror` class.
######################################################################... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/tools/preferences_mirror.py",
"copies": "3",
"size": "2098",
"license": "bsd-3-clause",
"hash": -597563667909873700,
"line_mean": 37.1454545455,
"line_max": 79,
"alpha_frac": 0.4890371783,
"autogenerated": false,
"ratio": 5.043269230769231,
"confi... |
# Enthought library imports.
from traits.api import Instance
# Local imports.
from mayavi.components.contour import Contour as ContourComponent
from mayavi.core.pipeline_info import PipelineInfo
from mayavi.filters.wrapper import Wrapper
###############################################################################... | {
"repo_name": "alexandreleroux/mayavi",
"path": "mayavi/filters/contour.py",
"copies": "5",
"size": "1197",
"license": "bsd-3-clause",
"hash": -7271487985747709000,
"line_mean": 35.2727272727,
"line_max": 80,
"alpha_frac": 0.5472013367,
"autogenerated": false,
"ratio": 4.807228915662651,
"confi... |
# Local imports.
from mayavi.components.cutter import Cutter
from mayavi.components.implicit_plane import ImplicitPlane
from mayavi.filters.collection import Collection
from mayavi.core.pipeline_info import PipelineInfo
################################################################################
# `CutPlane` clas... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/cut_plane.py",
"copies": "5",
"size": "1500",
"license": "bsd-3-clause",
"hash": -1403735179625022700,
"line_mean": 38.4736842105,
"line_max": 80,
"alpha_frac": 0.4926666667,
"autogenerated": false,
"ratio": 5.033557046979865,
"config_test... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.cell_to_point_data import CellToPointData
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `PointToCellData` class.
##... | {
"repo_name": "alexandreleroux/mayavi",
"path": "mayavi/filters/point_to_cell_data.py",
"copies": "5",
"size": "1170",
"license": "bsd-3-clause",
"hash": 1046971498716537900,
"line_mean": 34.4545454545,
"line_max": 70,
"alpha_frac": 0.5299145299,
"autogenerated": false,
"ratio": 4.68,
"config_t... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `CellToPointData` class.
###############... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/cell_to_point_data.py",
"copies": "3",
"size": "2300",
"license": "bsd-3-clause",
"hash": -3114458861626586600,
"line_mean": 36.0967741935,
"line_max": 70,
"alpha_frac": 0.5495652174,
"autogenerated": false,
"ratio": 4.572564612326044,
"co... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.poly_data_filter_base import \
PolyDataFilterBase
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `PolyDataNo... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/poly_data_normals.py",
"copies": "5",
"size": "1250",
"license": "bsd-3-clause",
"hash": -3498913077131830000,
"line_mean": 32.7837837838,
"line_max": 83,
"alpha_frac": 0.568,
"autogenerated": false,
"ratio": 4.512635379061372,
"config_tes... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.poly_data_normals import PolyDataNormals
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `WarpScalar` class.
########... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/warp_scalar.py",
"copies": "5",
"size": "1273",
"license": "bsd-3-clause",
"hash": 7797414586241699000,
"line_mean": 33.4054054054,
"line_max": 78,
"alpha_frac": 0.5742340927,
"autogenerated": false,
"ratio": 4.579136690647482,
"config_tes... |
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineInfo
######################################################################
# `ExtractTensorComponents` class.
######... | {
"repo_name": "dmsurti/mayavi",
"path": "mayavi/filters/extract_tensor_components.py",
"copies": "5",
"size": "1392",
"license": "bsd-3-clause",
"hash": -4821739474805988000,
"line_mean": 35.6315789474,
"line_max": 79,
"alpha_frac": 0.5416666667,
"autogenerated": false,
"ratio": 4.88421052631579,... |
# Modified for VisTrails by the VisTrails team.
"""This module parses the VTK methods, obtains the argument and return
type information, and organizes them.
"""
pkgs = [ "titan.Antiword", "titan.Common", "titan.DataAnalysis",
"titan.GMeans", "titan.HDF5", "titan.MPIDataAnalysis", "titan.MPITextAnalysis",
"ti... | {
"repo_name": "VisTrails/vistrails-contrib-legacy",
"path": "titan/vtk_parser.py",
"copies": "6",
"size": "19721",
"license": "bsd-3-clause",
"hash": 3927080960848543,
"line_mean": 35.3863636364,
"line_max": 122,
"alpha_frac": 0.5159474672,
"autogenerated": false,
"ratio": 4.404958677685951,
"c... |
# Modified for VisTrails by the VisTrails team.
"""This module parses the VTK methods, obtains the argument and return
type information, and organizes them.
"""
import re
import vtksnl
import class_tree
import core.debug
log = core.debug.log
warning = core.debug.warning
critical = core.debug.c... | {
"repo_name": "VisTrails/vistrails-contrib-legacy",
"path": "vtksnl/vtk_parser.py",
"copies": "6",
"size": "19321",
"license": "bsd-3-clause",
"hash": 1971360243677033200,
"line_mean": 35.5894941634,
"line_max": 122,
"alpha_frac": 0.5136380105,
"autogenerated": false,
"ratio": 4.465218396117402,
... |
"""This module generates the class hierarchy for any given Python
modules. This can be used (among other things) to generate the
traitified VTK classes in the correct order.
"""
import __builtin__
class TreeNode(object):
"""Represents a node in the class tree.
Stores information on the sub a... | {
"repo_name": "minesense/VisTrails",
"path": "contrib/titan/class_tree.py",
"copies": "6",
"size": "8330",
"license": "bsd-3-clause",
"hash": -3264635301964518400,
"line_mean": 29.0895522388,
"line_max": 75,
"alpha_frac": 0.5541416567,
"autogenerated": false,
"ratio": 4.544462629569012,
"config... |
import pickle
from pprint import pprint
from time import time
import sys
from collections import defaultdict
class Business:
def __init__(self, business_id, stars, name, categories):
self.id = business_id
self.stars = stars
self.name = name
self.categories = categories
self.cleanReviews = [] #List of list o... | {
"repo_name": "njetty/Yelp-Review-Analysis",
"path": "Task1/selectBusinessinTopCategories.py",
"copies": "1",
"size": "1186",
"license": "mit",
"hash": 6854205289707163000,
"line_mean": 28.65,
"line_max": 69,
"alpha_frac": 0.7563237774,
"autogenerated": false,
"ratio": 3.3982808022922635,
"conf... |
__author__ = 'pradhanta'
from sfdc_client import MavensMateClient
from mm import util
import os
def query():
wsdlFile = '../wsdl/tooling.xml'
util.set_endpoints()
mmClient = MavensMateClient( credentials = {
'username' : 'development.metadata@mailinator.com',
'password' : 'nepal123' + 'jK9JX55e0W... | {
"repo_name": "pradhanta/drunken-robot",
"path": "tools/profilegen/metadataapi.py",
"copies": "1",
"size": "1443",
"license": "apache-2.0",
"hash": 8558068750429250000,
"line_mean": 29.7021276596,
"line_max": 173,
"alpha_frac": 0.6555786556,
"autogenerated": false,
"ratio": 3.199556541019956,
"... |
__author__ = 'pradyumnad'
from socket import *
import re
import os
import urllib
PORT = 12345
proxy = "https://www.google.com/"
proxy_enabled = 1
def getrequestdata(data):
string = bytes.decode(data)
requestdata = {}
list = string.split(' ')
request_method = list[0]
requestdata["Method"] = requ... | {
"repo_name": "pradyumnad/Webserver",
"path": "myserver/server.py",
"copies": "1",
"size": "2185",
"license": "apache-2.0",
"hash": -7685460987497373000,
"line_mean": 25.987654321,
"line_max": 76,
"alpha_frac": 0.5107551487,
"autogenerated": false,
"ratio": 4.009174311926605,
"config_test": fal... |
__author__ = 'pradyumnad'
from socket import *
import sys
from thread import *
import os
HOST = '' # Symbolic name meaning all available interfaces
PORT = 5556 # Arbitrary non-privileged port
s = socket(AF_INET, SOCK_STREAM)
print 'Socket created'
# Bind socket to local host and port
try:
s.bind((HOST, PORT))... | {
"repo_name": "pradyumnad/Webserver",
"path": "myserver/mserver.py",
"copies": "1",
"size": "1280",
"license": "apache-2.0",
"hash": 3835695957022633500,
"line_mean": 21.4736842105,
"line_max": 75,
"alpha_frac": 0.5953125,
"autogenerated": false,
"ratio": 3.5261707988980717,
"config_test": fals... |
__author__ = "Prahlad Yeri"
__version__ = 1.0
import zipfile
import os, uuid, re
import string
import sys,subprocess,os #,SimpleHTTPServer,SocketServer
class Foo:
pass
##
# @author: Prahlad Yeri
# @brief: Common functions to interface with linux cli
class Command(object):
arguments = Foo()
arguments... | {
"repo_name": "prahladyeri/CBIDS",
"path": "bundle.py",
"copies": "1",
"size": "5663",
"license": "mit",
"hash": -8550812984411730000,
"line_mean": 26.7563451777,
"line_max": 190,
"alpha_frac": 0.6482429808,
"autogenerated": false,
"ratio": 3.133923630326508,
"config_test": false,
"has_no_key... |
_author__ = "Pramit Choudhary"
import os
from itertools import izip
from scipy.sparse import coo_matrix
from sklearn.feature_extraction.text import TfidfVectorizer
from collections import defaultdict
abs_path = os.path.dirname(os.path.abspath(__file__))
path = os.path.join(abs_path, 'data')
def sort_coo(m):
tuple... | {
"repo_name": "pramitchoudhary/Experiments",
"path": "python/documentSimilarity.py",
"copies": "1",
"size": "1587",
"license": "unlicense",
"hash": -616299202108409900,
"line_mean": 32.7659574468,
"line_max": 82,
"alpha_frac": 0.6483931947,
"autogenerated": false,
"ratio": 3.348101265822785,
"c... |
#!/usr/bin/python
# -*- coding : utf-8 -*-
import random
def appliance_switching():
NUMBER_OF_RANDOMS = 5 # Number of random numbers for each appliance
list_of_appliances = ['ac', 'tv', 'light' , 'fan'] # Finite List of appliances
dict_of_appliances = {} # The dictionary... | {
"repo_name": "jainpranav/nilmtk_test",
"path": "appliance_switch.py",
"copies": "1",
"size": "1891",
"license": "apache-2.0",
"hash": 737728529570416000,
"line_mean": 24.2133333333,
"line_max": 109,
"alpha_frac": 0.5943945003,
"autogenerated": false,
"ratio": 3.7445544554455448,
"config_test":... |
__author__ = 'Pratish'
import codecs
import re
from collections import Counter
from nltk.tokenize import word_tokenize
import sys
from nltk.corpus import stopwords
import matplotlib.pyplot as plt
from os import path
from wordcloud import WordCloud
reload(sys)
sys.setdefaultencoding('utf-8')
inFile = codecs.open("C... | {
"repo_name": "akshaykamath/ReviewPredictionYelp",
"path": "PosNegWords.py",
"copies": "1",
"size": "5494",
"license": "mit",
"hash": -5830882683794276000,
"line_mean": 28.3796791444,
"line_max": 150,
"alpha_frac": 0.6436112122,
"autogenerated": false,
"ratio": 3.2016317016317015,
"config_test"... |
__author__ = 'Pratish'
# Predict a sentence score out of 5 based on sentiments in a sentence
# This requires a file of sentences as input
import codecs
import re
from collections import Counter
from nltk.tokenize import word_tokenize
import sys
from nltk.corpus import stopwords
import matplotlib.pyplot as plt
from os... | {
"repo_name": "akshaykamath/ReviewPredictionYelp",
"path": "SentenceScore.py",
"copies": "1",
"size": "3107",
"license": "mit",
"hash": -8394534107280010000,
"line_mean": 25.3305084746,
"line_max": 143,
"alpha_frac": 0.6404892179,
"autogenerated": false,
"ratio": 3.3265524625267666,
"config_tes... |
__author__ = 'Preetam'
from . import api
from functools import wraps
from flask import request, Response
@api.after_request
def after_request(response):
response.headers.add('Access-Control-Allow-Origin', '*')
response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization')
response.hea... | {
"repo_name": "usc-isi-i2/dig-crowd-sourcing",
"path": "adnota/adnota/api/v1_0/decorators.py",
"copies": "1",
"size": "1137",
"license": "apache-2.0",
"hash": 2908838853491809300,
"line_mean": 30.6111111111,
"line_max": 86,
"alpha_frac": 0.6877748461,
"autogenerated": false,
"ratio": 4.0319148936... |
__author__ = 'Preetam'
'''
import boto.mturk.connection
import boto.mturk.question
sandbox_host = 'mechanicalturk.sandbox.amazonaws.com'
real_host = 'mechanicalturk.amazonaws.com'
mturk = boto.mturk.connection.MTurkConnection(
aws_access_key_id = 'XXX',
aws_secret_access_key = 'XXX',
host = sandbox_host,
... | {
"repo_name": "usc-isi-i2/dig-crowd-sourcing",
"path": "adnota/test.py",
"copies": "1",
"size": "1678",
"license": "apache-2.0",
"hash": -4361690435547581400,
"line_mean": 27.9482758621,
"line_max": 89,
"alpha_frac": 0.6793802145,
"autogenerated": false,
"ratio": 3.1074074074074076,
"config_tes... |
__author__ = 'prempal'
import serial
import csv
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import math
SERIAL_PORT = '/dev/ttyUSB0'
BAUD_RATE = 9600
FILE_NAME = "CANSAT2015_TLM_<TEAM_ID>.csv"
HEADER_ROW = ['TEAM_ID','MISSION_TIME','ALT_SENSOR','OUTSIDE_TEMP','INSIDE_TEMP',
'VOLTAGE','FSW... | {
"repo_name": "prempalsingh/cansat-xbee",
"path": "cansat.py",
"copies": "1",
"size": "2004",
"license": "mit",
"hash": -8103414173301771000,
"line_mean": 26.0945945946,
"line_max": 82,
"alpha_frac": 0.5883233533,
"autogenerated": false,
"ratio": 2.779472954230236,
"config_test": false,
"has_... |
__author__ = 'pricem'
import re
import sys
TIMESTAMP_REGEX=".* ([0-9]{1,12}\.[0-9]{6}):.*"
CAUSE_REGEX=".*action=([^\]]+)"
def parse_timestamp(input):
return int(float(input) * 1000000) * 1000
def parse_runtime(input):
return int(input)
if len(sys.argv) == 1:
print "usage: " + sys.argv[0] + " <input_f... | {
"repo_name": "epickrram/perf-workshop",
"path": "src/main/python/perf_softirq_duration.py",
"copies": "1",
"size": "1646",
"license": "apache-2.0",
"hash": 8853970621276476000,
"line_mean": 30.0754716981,
"line_max": 100,
"alpha_frac": 0.6123936817,
"autogenerated": false,
"ratio": 3.00364963503... |
__author__ = 'pricem'
import re
import sys
TIMESTAMP_REGEX=".* ([0-9]{1,12}\.[0-9]{6}):.*"
RUNTIME_REGEX=".* runtime=([0-9]+) "
def parse_timestamp(input):
return int(float(input) * 1000000) * 1000
def parse_runtime(input):
return int(input)
if len(sys.argv) == 1:
print "usage: " + sys.argv[0] + " <pid... | {
"repo_name": "epickrram/perf-workshop",
"path": "src/main/python/perf_sched_stat_runtime.py",
"copies": "1",
"size": "1031",
"license": "apache-2.0",
"hash": 646861587216053100,
"line_mean": 30.2727272727,
"line_max": 83,
"alpha_frac": 0.629485936,
"autogenerated": false,
"ratio": 3.114803625377... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
'''A module for dealing with BMP bitmap image files.'''
def write_grayscale(filename, pixels):
'''Creates and writes a grayscale BMP file.
Args:
filename: The name of t... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Fundamentals/bmp.py",
"copies": "1",
"size": "3824",
"license": "mit",
"hash": 987167054142665100,
"line_mean": 33.4594594595,
"line_max": 144,
"alpha_frac": 0.5896966527,
"autogenerated": false,
"ratio": 3.276778063410454,
"config_tes... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
'''Classes'''
students = []
class Student: # Parent Class
school_name = 'Springfield Elementary' # Static var or Class attribute
def __init__(self, name, student_id=332):
... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Getting Started/Object_Oriented_Programing.py",
"copies": "1",
"size": "1043",
"license": "mit",
"hash": 8793791228578674000,
"line_mean": 22.7272727273,
"line_max": 74,
"alpha_frac": 0.6433365292,
"autogenerated": false,
"ratio": 3.4196... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
'''Computing Mandelbrot sets.'''
import math
def mandel(real, imag):
'''Compute a point in the Mandelbrot.
The logarithm of number of iterations needed to determine whether a c... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Fundamentals/fractal.py",
"copies": "1",
"size": "1248",
"license": "mit",
"hash": 2879402783816325000,
"line_mean": 23.0192307692,
"line_max": 111,
"alpha_frac": 0.5600961538,
"autogenerated": false,
"ratio": 3.0439024390243903,
"conf... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
import os
import unittest
def analyze_text(filename):
"""Calculate the nuimber of lines and characters in a file.
Args:
IOError: If ``filename`` does not exist or can't... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Fundamentals/text_analyzer.py",
"copies": "1",
"size": "2179",
"license": "mit",
"hash": 8395653028161044000,
"line_mean": 30.5942028986,
"line_max": 131,
"alpha_frac": 0.6011932079,
"autogenerated": false,
"ratio": 3.9690346083788706,
... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
import springfield_schools
SS = springfield_schools.Student()
class main():
'''
main.main()
'''
def __init__(self):
'''Asking the user like to enter a student na... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Getting Started/PyStudentManager/main.py",
"copies": "1",
"size": "3882",
"license": "mit",
"hash": 538748849489842500,
"line_mean": 34.3,
"line_max": 110,
"alpha_frac": 0.4976816074,
"autogenerated": false,
"ratio": 4.503480278422273,
... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
'''
Numbers
'''
'''
Integers
'''
num = 45
'''
Floats
'''
pie = 3.14159
'''
Converting
'''
float(num) == 45.0
int(pie) == 3
'''
Strings
'''
name = 'hi' or "hi" or'''hi'''... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Getting Started/Types_Statements_and_other_goodies.py",
"copies": "1",
"size": "3871",
"license": "mit",
"hash": 8049296822461601000,
"line_mean": 18.7551020408,
"line_max": 102,
"alpha_frac": 0.6321363989,
"autogenerated": false,
"ratio... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
students = []
class Student():
def get_students_titlecase(self):
students_titlecase = []
for student in students:
students_titlecase.append(student['name'].title())
return s... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Getting Started/PyStudentManager/springfield_schools.py",
"copies": "1",
"size": "1126",
"license": "mit",
"hash": -4994057437354170000,
"line_mean": 21.0980392157,
"line_max": 53,
"alpha_frac": 0.6305506217,
"autogenerated": false,
"rat... |
__author__ = "Prikly Grayp"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "priklygrayp@gmail.com"
__status__ = "Development"
#!/usr/bin/env python3
'''Retrieve and print words from a URL.
Usage:
python3 words.py <URL>
'''
import sys
from urllib.request import urlopen
def fetch_words(url):
'''Fetch... | {
"repo_name": "PriklyGrayp/Noitacude.PY",
"path": "Python - Fundamentals/words.py",
"copies": "1",
"size": "1160",
"license": "mit",
"hash": -8986309772462887000,
"line_mean": 19.0172413793,
"line_max": 59,
"alpha_frac": 0.5853448276,
"autogenerated": false,
"ratio": 3.4730538922155687,
"config... |
__author__ = 'PrimankaDEN"'
from ConfigParser import *
from SpaceObjects.SpaceObjectsController import *
from SpaceObjects.SpaceObject import *
class Config:
system = "SYSTEM"
type = "TYPE"
x = "X"
y = "Y"
vx = "VX"
vy = "VY"
mass = "MASS"
color = "COLOR"
size = "SIZE"
is_posi... | {
"repo_name": "PrimankaDEN/N-bodyProblemSimulator",
"path": "Configs/Config.py",
"copies": "1",
"size": "1629",
"license": "mit",
"hash": 1380700077194147600,
"line_mean": 33.6595744681,
"line_max": 90,
"alpha_frac": 0.6022099448,
"autogenerated": false,
"ratio": 3.906474820143885,
"config_test... |
__author__ = 'PrimankaDEN'
from pygame import *
from Utils.Properties import *
from Utils.Vector2 import Vector2
class SpaceObject:
_name = "Name"
_type = "Planet"
_mass = 0
_speed = Vector2(0.0, 0.0)
_coord = Vector2(0.0, 0.0)
_accel = Vector2(0.0, 0.0)
_color = "#FFFFFF"
_size = 10... | {
"repo_name": "PrimankaDEN/N-bodyProblemSimulator",
"path": "SpaceObjects/SpaceObject.py",
"copies": "1",
"size": "3124",
"license": "mit",
"hash": 7052539179342137000,
"line_mean": 28.2056074766,
"line_max": 109,
"alpha_frac": 0.5797055058,
"autogenerated": false,
"ratio": 3.502242152466368,
"... |
__author__ = 'PrimankaDEN'
from Utils.Vector2 import *
from Utils.Properties import *
RUNGE_KUTTA_4="Methods.RUNGE_KUTTA_4"
RUNGE_KUTTA_7="Methods.RUNGE_KUTTA_7"
EULER_METHOD ="Methods.EULER_METHOD"
class Methods:
_coords=Vector2(0,0)
_speed=Vector2(0,0)
_accel=Vector2(0,0)
def __init__(self, meth... | {
"repo_name": "PrimankaDEN/N-bodyProblemSimulator",
"path": "Utils/Methods.py",
"copies": "1",
"size": "1030",
"license": "mit",
"hash": 7753364148276213000,
"line_mean": 21.3913043478,
"line_max": 53,
"alpha_frac": 0.6019417476,
"autogenerated": false,
"ratio": 3.0294117647058822,
"config_test... |
__author__ = 'PrimankaDEN'
import pygame
from pygame import *
from Configs.Config import *
from math import *
from SpaceObjects.SpaceObject import *
from SpaceObjects.SpaceObjectsController import *
# rMax = 0.0
#rMin = 1000000.0
#rPrev = 0.0
#rPrevPrev = 0.0
#i = 0
#done = False
#while not done:
# timer.tick(5... | {
"repo_name": "PrimankaDEN/N-bodyProblemSimulator",
"path": "game.py",
"copies": "1",
"size": "3308",
"license": "mit",
"hash": -7545398837105156000,
"line_mean": 25.2619047619,
"line_max": 124,
"alpha_frac": 0.5731559855,
"autogenerated": false,
"ratio": 3.482105263157895,
"config_test": false... |
__author__ = 'privat'
from PyQt4.QtCore import Qt, QEvent, pyqtSlot
from PyQt4.QtGui import QAction, QColor, QFont, QKeySequence, QWidget
from PyQt4.Qsci import QsciScintilla, QsciLexerPython, QsciAPIs
import roslab_ide.helper.globals as g
from roslab_ide.helper.Workspace import Controller
class PyEditor(QsciScinti... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/backends/PyEditor.py",
"copies": "1",
"size": "2476",
"license": "mit",
"hash": 7128175680415218000,
"line_mean": 30.3544303797,
"line_max": 114,
"alpha_frac": 0.6518578352,
"autogenerated": false,
"ratio": 3.8209876543209877,
"config_te... |
__author__ = 'privat'
from roslab_ide.generators.Generator import Generator
class CMakeListsTxtGenerator(Generator):
def __init__(self, project, include_dirs=None, libraries=None, catkin_depends=None, depends=None,
python_scripts=None, python_setup=False):
Generator.__init__(self)
... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/generators/CMakeListsTxtGenerator.py",
"copies": "1",
"size": "3566",
"license": "mit",
"hash": 6608296618954196000,
"line_mean": 33.9607843137,
"line_max": 102,
"alpha_frac": 0.5675827257,
"autogenerated": false,
"ratio": 4.20518867924528... |
__author__ = 'privat'
from roslab_ide.generators.Generator import Generator
class CppClass(object):
def __init__(self):
prv_methods = []
prv_vars = []
pub_methods = []
pub_vars = []
ctor = []
dtor = []
class ROSLabLibrary(object):
def __init__(self, name):
... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/backends/CppBackend.py",
"copies": "1",
"size": "4061",
"license": "mit",
"hash": -777315053575771100,
"line_mean": 28.6423357664,
"line_max": 112,
"alpha_frac": 0.4747599114,
"autogenerated": false,
"ratio": 4.097880928355197,
"config_t... |
__author__ = 'privat'
import os
import re
import stat
import yaml
import time
import pygraphviz
import platform
import rospkg
rp = rospkg.RosPack()
# pyqt imports
from PyQt4.QtCore import pyqtSlot, QSettings
from PyQt4.QtGui import QAction, QMenu, QTreeWidgetItem, QIcon, QLineEdit
from PyQt4.QtGui import QDialog, QI... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/helper/Workspace.py",
"copies": "1",
"size": "96359",
"license": "mit",
"hash": -5237072693672406000,
"line_mean": 39.3348681457,
"line_max": 124,
"alpha_frac": 0.5896698803,
"autogenerated": false,
"ratio": 3.946713086217489,
"config_te... |
# __author__ = 'privat'
#
# import os
# import stat
#
# from python_qt_binding.QtGui import QInputDialog
#
# from roslab_ide.helper.Workspace import Workspace
# from roslab_ide.helper.TreeHelper import TreeHelper, TreeItem
# from roslab_ide.helper.globals import author, email, place, main_widget, ROS_PKGS
# from roslab... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/helper/ROSLabPackage.py",
"copies": "1",
"size": "4932",
"license": "mit",
"hash": -6448569588827740000,
"line_mean": 41.525862069,
"line_max": 118,
"alpha_frac": 0.603406326,
"autogenerated": false,
"ratio": 3.425,
"config_test": false,... |
__author__ = 'privat'
import os
import yaml
import stat
import rosmsg
import rospkg
rp = rospkg.RosPack()
from catkin.find_in_workspaces import find_in_workspaces
# pyqt imports
from PyQt4.QtGui import QProgressDialog, QTreeWidgetItem, QMessageBox, QColor
from PyQt4.QtCore import Qt, QSettings
# settings
name = 'Cha... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/helper/globals.py",
"copies": "1",
"size": "8544",
"license": "mit",
"hash": 6230847803244697000,
"line_mean": 31.2452830189,
"line_max": 120,
"alpha_frac": 0.6828183521,
"autogenerated": false,
"ratio": 3.347962382445141,
"config_test":... |
# __author__ = 'privat'
#
# import roslab_ide.helper.globals as g
#
# from python_qt_binding.QtGui import QDialog, QInputDialog
#
# from roslab_ide.helper.Workspace import Workspace
# from roslab_ide.helper.TreeHelper import TreeHelper, TreeItem
#
# from roslab_ide.dialogs.ArgumentDialog import ArgumentDialog
# from ro... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/helper/Library.py",
"copies": "1",
"size": "6749",
"license": "mit",
"hash": -1549582518210827800,
"line_mean": 30.6901408451,
"line_max": 109,
"alpha_frac": 0.5963846496,
"autogenerated": false,
"ratio": 3.5372117400419287,
"config_test... |
__author__ = 'privat'
import rosnode
import rosgraph
from PyQt4.QtCore import Qt
from roslab_ide.widgets.ExternalProcessWidget import ExternalProcessWidget
import roslab_ide.helper.globals as g
class ROSCommand():
def __init__(self):
pass
@staticmethod
def roscore():
# check if rosco... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/helper/ROSCommand.py",
"copies": "1",
"size": "3772",
"license": "mit",
"hash": -115234680734657820,
"line_mean": 27.7938931298,
"line_max": 103,
"alpha_frac": 0.5901378579,
"autogenerated": false,
"ratio": 4.131434830230011,
"config_tes... |
__author__ = 'privat'
import xml.etree.ElementTree as ET
import xml.dom.minidom as dom
class PackageXmlGenerator(object):
def __init__(self, name, version='0.0.0', description="TODO", maintainer=('TODO', 'todo@todo.com'), license='TODO',
build_depends=None, run_depends=None):
self._roo... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/generators/PackageXmlGenerator.py",
"copies": "1",
"size": "1919",
"license": "mit",
"hash": 9008555566808383000,
"line_mean": 38.9791666667,
"line_max": 119,
"alpha_frac": 0.6268890047,
"autogenerated": false,
"ratio": 4.074309978768578,
... |
__author__ = 'privat'
import xml.etree.ElementTree as ET
import xml.dom.minidom as dom
class RosLaunchFileGenerator(object):
def __init__(self, data):
# vars
self._data = data
def generate(self):
root_element = ET.Element('launch')
if 'args' in self._data:
... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/generators/RosLaunchFileGenerator.py",
"copies": "1",
"size": "3442",
"license": "mit",
"hash": -9183603986422948000,
"line_mean": 40.4819277108,
"line_max": 103,
"alpha_frac": 0.498837885,
"autogenerated": false,
"ratio": 4.48761408083442... |
__author__ = 'privat'
class FiniteStateMachine:
def __init__(self):
self.handlers = {}
self.start_state = None
self.end_states = []
def add_state(self, name, handler=None):
"""
Add new state to machine.
If handler is None state will be set to an end_state
... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/fsm.py",
"copies": "1",
"size": "1653",
"license": "mit",
"hash": -4536858028762319000,
"line_mean": 29.0727272727,
"line_max": 112,
"alpha_frac": 0.5601935874,
"autogenerated": false,
"ratio": 4.384615384615385,
"config_test": false,
... |
__author__ = 'privat'
# std imports
import io
import os
import sys
import yaml
# pyqt imports
from python_qt_binding import loadUi
from PyQt4.QtCore import pyqtSlot
from PyQt4.QtGui import QDialog
# ROS imports
import rosmsg
import rospkg
rp = rospkg.RosPack()
# roslab
from roslab_ide.helper.globals import ROS_MS... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/dialogs/CommunicationDialog.py",
"copies": "1",
"size": "3707",
"license": "mit",
"hash": 2025541369531469300,
"line_mean": 32.0982142857,
"line_max": 106,
"alpha_frac": 0.5794442946,
"autogenerated": false,
"ratio": 3.9817400644468313,
... |
__author__ = 'privat'
# std imports
import os
import rospkg
rp = rospkg.RosPack()
# pyqt imports
from python_qt_binding import loadUi
from PyQt4.QtGui import QDialog, QDialogButtonBox, QColorDialog
from PyQt4.QtCore import QSettings, pyqtSlot
import roslab_ide.helper.globals as g
class SettingsDialog(QDialog):
... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/dialogs/SettingsDialog.py",
"copies": "1",
"size": "2046",
"license": "mit",
"hash": 520841579015459650,
"line_mean": 29.5373134328,
"line_max": 101,
"alpha_frac": 0.6182795699,
"autogenerated": false,
"ratio": 3.5397923875432524,
"confi... |
__author__ = 'privat'
# std imports
import io
import os
import sys
import subprocess
import rospkg
rp = rospkg.RosPack()
# pyqt imports
from python_qt_binding import loadUi
from PyQt4.QtGui import QDockWidget
from PyQt4.QtCore import QTimer, QProcess, QSettings, pyqtSlot
# FIXME: If one widget is closed other opened... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/widgets/ExternalProcessWidget.py",
"copies": "1",
"size": "2716",
"license": "mit",
"hash": -6233345932433463000,
"line_mean": 28.2150537634,
"line_max": 108,
"alpha_frac": 0.5960972018,
"autogenerated": false,
"ratio": 4.270440251572327,
... |
__author__ = 'privat'
# std imports
import io
import os
import sys
import yaml
import rospkg
rp = rospkg.RosPack()
# pyqt imports
from python_qt_binding import loadUi
from PyQt4.QtGui import QDialog
class ParameterDialog(QDialog):
def __init__(self, data=None, parent=None):
QDialog.__init__(self, paren... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/dialogs/ParameterDialog.py",
"copies": "1",
"size": "1387",
"license": "mit",
"hash": -2601557577464308000,
"line_mean": 29.1739130435,
"line_max": 102,
"alpha_frac": 0.5839942322,
"autogenerated": false,
"ratio": 3.6986666666666665,
"co... |
__author__ = 'privat'
# std imports
import os
import rospkg
rp = rospkg.RosPack()
# pyqt imports
from python_qt_binding import loadUi
from PyQt4.QtCore import pyqtSlot
from PyQt4.QtGui import QDialog
import roslab_ide.helper.globals as g
class RosLaunchNodeDialog(QDialog):
def __init__(self, data, parent=None)... | {
"repo_name": "sem23/roslab_ide",
"path": "src/roslab_ide/dialogs/RosLaunchNodeDialog.py",
"copies": "1",
"size": "1426",
"license": "mit",
"hash": 3722256582223779300,
"line_mean": 26.9803921569,
"line_max": 106,
"alpha_frac": 0.6269284712,
"autogenerated": false,
"ratio": 3.6564102564102563,
... |
__author__ = "Priyabrata Biswal"
#################################################################################
# tool = LOD Checker #
# author = "Priyabrata Biswal" #
# last_updated = "2019_01_27 #
# #
# doc = "see_below" #
# Checks lower lod's... | {
"repo_name": "PBTools/MaxScript",
"path": "src/python/pb_lod_vertex_checker.py",
"copies": "1",
"size": "5321",
"license": "mit",
"hash": 2963105123451022000,
"line_mean": 33.1153846154,
"line_max": 184,
"alpha_frac": 0.670738583,
"autogenerated": false,
"ratio": 2.9910061832490165,
"config_te... |
__author__ = 'priyanka'
import sys
import pandas as pd
if __name__ == '__main__':
reload(sys)
sys.setdefaultencoding("utf-8")
cat = raw_input("Category?")
op_csv = 'data/input/yelp_academic_dataset_review_' + cat + '.csv'
business_data = pd.read_csv('data/input/yelp_academic_dataset_business.csv'... | {
"repo_name": "abhirevan/Yelp-Rate-my-Review",
"path": "src/extract_per_category.py",
"copies": "1",
"size": "1083",
"license": "mit",
"hash": 5223599948585276000,
"line_mean": 42.32,
"line_max": 108,
"alpha_frac": 0.6731301939,
"autogenerated": false,
"ratio": 3.2425149700598803,
"config_test"... |
__author__ = 'prog-RAM-zing'
'''
An Sqlite3 Databse manager for the Tweet Streamer nly.
'''
import sqlite3,subprocess,shlex,re,unidecode,datetime
from time import sleep
from sys import exit
class DBManager(object):
def __init__(self,conn):
self.conn = conn
self.cursor = self.conn.cursor()
de... | {
"repo_name": "prog-RAM-zing/Twitter-lytics",
"path": "db_class.py",
"copies": "1",
"size": "10223",
"license": "mit",
"hash": -7591678874118058000,
"line_mean": 40.7265306122,
"line_max": 179,
"alpha_frac": 0.5209820992,
"autogenerated": false,
"ratio": 3.85919214798037,
"config_test": false,
... |
__author__ = 'prog-RAM-zing'
#!/usr/bin/env python
'''
A General Twitter Streamer script using Python's Tweepy module (pip install tweepy)
'''
import tweepy,threading,datetime,unidecode,time,sys
import re,subprocess,shlex
import db_class,sqlite3
from Queue import Queue
#Enter credentials from Twitter App
consumer_k... | {
"repo_name": "prog-RAM-zing/Twitter-lytics",
"path": "general_scrapper.py",
"copies": "1",
"size": "6541",
"license": "mit",
"hash": -4025493055472843300,
"line_mean": 39.1288343558,
"line_max": 334,
"alpha_frac": 0.6011313255,
"autogenerated": false,
"ratio": 3.3526396719630958,
"config_test"... |
__author__ = 'proposed by Jean Pierre Queau , jeanpierre.queau"sbmoffshore.com'
from scipy import array
from pybrain.optimization.optimizer import BlackBoxOptimizer
from pybrain.optimization.populationbased.ga import GA
from pybrain.tools.nondominated import const_non_dominated_front, const_crowding_distance, const_... | {
"repo_name": "abhishekgahlot/pybrain",
"path": "pybrain/optimization/populationbased/multiobjective/constnsga2.py",
"copies": "2",
"size": "4003",
"license": "bsd-3-clause",
"hash": -8742886282059042000,
"line_mean": 43.9775280899,
"line_max": 115,
"alpha_frac": 0.6007994004,
"autogenerated": fals... |
__author__ = 'prossi'
import skyscape
class lazy_property(object):
def __init__(self, fget):
self.fget = fget
self.func_name = fget.__name__
def __get__(self, obj, cls):
if obj is None:
return None
value = self.fget(obj)
setattr(obj, self.func_name, value)
... | {
"repo_name": "skyscape-cloud-services/skyscape_python",
"path": "skyscape/skyscape_catalog.py",
"copies": "1",
"size": "1495",
"license": "apache-2.0",
"hash": -4806944890938968000,
"line_mean": 28.3333333333,
"line_max": 94,
"alpha_frac": 0.5652173913,
"autogenerated": false,
"ratio": 3.5851318... |
__author__ = 'prossi'
import skyscape
class lazy_property(object):
def __init__(self, fget):
self.fget = fget
self.func_name = fget.__name__
def __get__(self, obj, cls):
if obj is None:
return None
value = self.fget(obj)
setattr(obj, self.func_name, value)
... | {
"repo_name": "skyscape-cloud-services/skyscape_python",
"path": "skyscape/skyscape_orgvdc.py",
"copies": "1",
"size": "3092",
"license": "apache-2.0",
"hash": -6115344679648023000,
"line_mean": 31.8936170213,
"line_max": 182,
"alpha_frac": 0.5711513583,
"autogenerated": false,
"ratio": 3.5745664... |
__author__ = 'prossi'
import skyscape
class Vcloud_Method():
def __init__(self, linkref, connection):
self.rel = linkref.attrib['rel']
self.href = linkref.attrib['href']
if linkref.get('type') is not None:
self.type = linkref.attrib['type']
else:
self.type =... | {
"repo_name": "skyscape-cloud-services/skyscape_python",
"path": "skyscape/skyscape_vcloud_methods.py",
"copies": "1",
"size": "1379",
"license": "apache-2.0",
"hash": 5754193064604543000,
"line_mean": 32.6585365854,
"line_max": 82,
"alpha_frac": 0.5511240029,
"autogenerated": false,
"ratio": 3.9... |
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