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import math class Heap: class Node: def __init__(self, data=None, key=None): _data = data _key = key def __init__(self): self._heap = [] self._size = 0 self._isHeap = True def _boundsCheck(func): def wrapper(self, *args): if self._size == 0: ...
{ "repo_name": "JDNdeveloper/Interview-Practice-Python", "path": "src/Heap.py", "copies": "1", "size": "3268", "license": "mit", "hash": 8600484854471156000, "line_mean": 22.3428571429, "line_max": 63, "alpha_frac": 0.5492656059, "autogenerated": false, "ratio": 3.611049723756906, "config_test":...
import sys from collections import Counter from heapq import heappush, heappop, heapify from GraphADT import Graph def BFS(graph, root): distance = {} parent = {} for node in graph.nodes: distance[node] = sys.maxsize parent[node] = None queue = [] distance[root] = 0 queue.append(root) ...
{ "repo_name": "JDNdeveloper/Interview-Practice-Python", "path": "src/GraphSearch.py", "copies": "1", "size": "4623", "license": "mit", "hash": -4953303596000252000, "line_mean": 27.3619631902, "line_max": 78, "alpha_frac": 0.5595933377, "autogenerated": false, "ratio": 2.980657640232108, "confi...
import socket import json import threading import os delim = '.,.' def encode( data ): return bytes( json.dumps( data ) + delim, 'utf-8' ) def decode( data ): stringBuffer = data.decode( 'utf-8' )[:-3] return [ json.loads( x ) for x in stringBuffer.split( delim ) ] def smartDecode( D_BUFFER, data ): st...
{ "repo_name": "JDNdeveloper/EZ-TCP-Messenger", "path": "src-python3/ezTCPlib.py", "copies": "1", "size": "3217", "license": "mit", "hash": 3844883894023407600, "line_mean": 25.5867768595, "line_max": 67, "alpha_frac": 0.531240286, "autogenerated": false, "ratio": 3.5274122807017543, "config_tes...
import socket import json import threading import os delim = '.,.' def encode( data ): return json.dumps( data ) + delim def decode( data ): stringBuffer = data[:-3] return [ json.loads( x ) for x in stringBuffer.split( delim ) ] def smartDecode( D_BUFFER, data ): stringBuffer = D_BUFFER.decode( 'utf-8...
{ "repo_name": "JDNdeveloper/EZ-TCP-Messenger", "path": "src-python2/ezTCPlib.py", "copies": "1", "size": "3172", "license": "mit", "hash": -4862807244125563000, "line_mean": 25.2148760331, "line_max": 67, "alpha_frac": 0.5334174023, "autogenerated": false, "ratio": 3.5680539932508437, "config_t...
__author__ = 'Jay Modi' import json from django.conf import settings from django.views.decorators.csrf import ensure_csrf_cookie, csrf_exempt from django.contrib.auth.models import User, AnonymousUser from django.db import transaction from django.contrib.auth.decorators import login_required from django.views.decorat...
{ "repo_name": "mjrulesamrat/django-edx-courseware", "path": "django-edx-courseware/views.py", "copies": "1", "size": "5302", "license": "mit", "hash": -408843036703795260, "line_mean": 37.4275362319, "line_max": 109, "alpha_frac": 0.6416446624, "autogenerated": false, "ratio": 4.360197368421052, ...
__author__ = 'Jay Modi' import logging import json from xmodule.modulestore.django import modulestore # ORA imports from openassessment.workflow.models import AssessmentWorkflow from student.models import CourseAccessRole from django.core.mail import EmailMessage from openedx.core.djangoapps.content.course_overviews....
{ "repo_name": "mjrulesamrat/django-edx-courseware", "path": "django-edx-courseware/tasks.py", "copies": "1", "size": "4644", "license": "mit", "hash": 188258391137596800, "line_mean": 44.5294117647, "line_max": 117, "alpha_frac": 0.5079672696, "autogenerated": false, "ratio": 4.998923573735199, ...
__author__ = 'jay' import requests import csv import random def get_slugs(): url = "https://dataclips.heroku.com/empnpduodrmkvhdsvhhlfhjqkzto.json" rows = requests.get(url).json()["values"] slugs = [row[0] for row in rows] return slugs def get_awards(slug): url = "https://impactstory.org/profile...
{ "repo_name": "Impactstory/total-impact-webapp", "path": "scripts/all_profiles.py", "copies": "2", "size": "1340", "license": "mit", "hash": -2554983344496212500, "line_mean": 19.6153846154, "line_max": 74, "alpha_frac": 0.5858208955, "autogenerated": false, "ratio": 3.1235431235431235, "config...
__author__ = 'jay' from pathlib import Path import os import json import requests data_dir = Path(__file__, "../../data").resolve() usernames_path = Path(data_dir, "github_usernames.json") users_path = Path(data_dir, "github_users.json") users_url_template = "https://api.github.com/users/%s" class RateLimitExceptio...
{ "repo_name": "total-impact/software", "path": "scripts/github_users.py", "copies": "3", "size": "2346", "license": "mit", "hash": -8253431630091124000, "line_mean": 24.2258064516, "line_max": 94, "alpha_frac": 0.6167945439, "autogenerated": false, "ratio": 3.455081001472754, "config_test": fal...
__author__ = 'Jayson Stemmler' __created__ = "5/14/15 3:37 PM" import numpy as np import sys from math import atan2 class ProgressBar(object): """Prints a status bar for longer loop operations Currently does not work. I will update when it actually works properly. """ def __init__(self, **kwarg...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/tools.py", "copies": "1", "size": "2405", "license": "mit", "hash": 7808815810100147000, "line_mean": 23.05, "line_max": 76, "alpha_frac": 0.5438669439, "autogenerated": false, "ratio": 3.3035714285714284, "config_test": false, "has_no_keywo...
__author__ = 'Jayson Stemmler' __created__ = "6/2/15 12:25 PM" import matplotlib.pyplot as plt import matplotlib.patches as mpatches import pandas as pd from ..tools import percentile # Seaborn really shouldn't be in the package... # import seaborn as sns # sns.set_style('darkgrid') def filled_series(data, points=(...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/plotting/series.py", "copies": "1", "size": "2033", "license": "mit", "hash": 8104737088021788000, "line_mean": 30.765625, "line_max": 80, "alpha_frac": 0.5602557796, "autogenerated": false, "ratio": 3.1765625, "config_test": false, "has_no_...
__author__ = 'Jayson Stemmler' __created__ = "6/5/15 7:49 AM" """ This set of tools is really just specific to doing some of the analysis for the Low CCN project, such as grouping and classifying events based on CCN data. In addition, there are a couple of plots that are specific to the Low CCN st...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/low_ccn_tools.py", "copies": "1", "size": "6414", "license": "mit", "hash": -596026334654955500, "line_mean": 31.07, "line_max": 92, "alpha_frac": 0.5709385719, "autogenerated": false, "ratio": 3.5397350993377485, "config_test": false, "has_...
__author__ = 'Jayson Stemmler' __created__ = "6/5/15 7:52 AM" """ EQUATIONS """ def qsatw(t, p): """saturated vapor pressure with respect to water. use functions given in Unified Model Documentation No. 29 Calculation of saturated specific humidity and large scale cloud. RNB Smith et al. 1990 ...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/equations.py", "copies": "1", "size": "2542", "license": "mit", "hash": -5172421759137593000, "line_mean": 20.0165289256, "line_max": 69, "alpha_frac": 0.5334382376, "autogenerated": false, "ratio": 2.5394605394605394, "config_test": false, ...
__author__ = 'Jayson Stemmler' __created__ = "6/9/15 11:20 AM" import numpy as np from netCDF4 import Dataset, num2date def pick_ecmwf_point(f, v, at=None, LAT=None, LON=None): at_times = np.array(at, ndmin=1) vout = np.zeros_like(at_times, dtype=float) * np.nan def shiftlon(l): if 0 <= l <= 180...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/fileIO/ECMWF.py", "copies": "1", "size": "1905", "license": "mit", "hash": -8535256250098444000, "line_mean": 29.7258064516, "line_max": 85, "alpha_frac": 0.4677165354, "autogenerated": false, "ratio": 3.383658969804618, "config_test": false, ...
__author__ = "Jayson Stemmler" import os import glob import warnings import numpy as np import pandas as pd import tables from netCDF4 import Dataset, num2date # from ..tools import ProgressBar class VariableError(Exception): """Generic Variable Error exception class""" pass class VariableWarning(Warning...
{ "repo_name": "jstemmler/toolbox", "path": "toolbox/fileIO/netCDF.py", "copies": "1", "size": "12935", "license": "mit", "hash": -7036048541311524000, "line_mean": 34.6336088154, "line_max": 109, "alpha_frac": 0.5595670661, "autogenerated": false, "ratio": 4.510111576011157, "config_test": fals...
__author__ = 'Jay (XP016283)' ''' Instead of the avetest/bin/ave-test/download-rom bash This script is used for run the ave based mtbf, ui, endurance and performance test. ''' import os import util_test import subprocess from termcolor import colored import sys sys.path.append(util_test.ENVCFG_PATH) import shutil #im...
{ "repo_name": "MarcusChang/Repo-FoxRUN", "path": "FoxRUN/fabric-task-runner/test-exec-task/ave-test/download_rom.py", "copies": "1", "size": "3091", "license": "mpl-2.0", "hash": 8822234365059164000, "line_mean": 38.1265822785, "line_max": 187, "alpha_frac": 0.6512455516, "autogenerated": false, ...
__author__ = 'jbjohnso' # vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2014 Lenovo Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/license...
{ "repo_name": "jjohnson42/confluent", "path": "confluent_client/confluent/termhandler.py", "copies": "6", "size": "2063", "license": "apache-2.0", "hash": -4260418052777237500, "line_mean": 30.7538461538, "line_max": 74, "alpha_frac": 0.6277266117, "autogenerated": false, "ratio": 4.2623966942148...
__author__ = 'jbosley2' __author__ = 'Josh Allen Bosley' import sql_settings as SQLS import sql_selects as SELECT import sql_inserts as INSERT import sql_updates as UPDATE import sql_admin as ADMIN import urllib2 def internet_on(): try: response=urllib2.urlopen('http://10.1.0.83',timeout=1) ...
{ "repo_name": "LSSUHDTeam/ReservationServer", "path": "request_handler.py", "copies": "1", "size": "3841", "license": "mit", "hash": 1114926726789195500, "line_mean": 24.8601398601, "line_max": 73, "alpha_frac": 0.4550898204, "autogenerated": false, "ratio": 4.175, "config_test": false, "has_...
__author__ = 'jbosley2' import settings import SocketServer import request_handler # Query information recognized_queries = ['u', 'i', 's', 'g', 'a'] # update, insert, select, generate recent_queries = [] max_stored_queries = 25 class TCPConnectionHandler(SocketServer.BaseRequestHandler): def ha...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "server.py", "copies": "1", "size": "1335", "license": "mit", "hash": 2578298426251226600, "line_mean": 23.2264150943, "line_max": 84, "alpha_frac": 0.6389513109, "autogenerated": false, "ratio": 3.9732142857142856, "config_test": false, "has_no...
__author__ = 'jbosley2' import datetime import settings as SQLS # Range of dates def select_receipts_by_descriptor(range, switch): info = [] first_date = range.split("|")[0] second_date = range.split("|")[1] query = "" if switch == "1": query = ("SELECT * FROM receipts " ...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "sql_selects.py", "copies": "1", "size": "6232", "license": "mit", "hash": -3941365203667727400, "line_mean": 26.0720720721, "line_max": 116, "alpha_frac": 0.4845956354, "autogenerated": false, "ratio": 3.7838494231936854, "config_test": false, ...
__author__ = 'jbosley2' import MySQLdb import datetime # ================== [ SQL SERVER SETTINGS ] ================= settings = [] with open('server_settings.txt') as fp: for line in fp: line = line.split("=") settings.append(line[1].strip('\n')) fp.close() HOST = settings[0] PORT ...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "settings.py", "copies": "1", "size": "1197", "license": "mit", "hash": -8661639710653687000, "line_mean": 19.4107142857, "line_max": 71, "alpha_frac": 0.5538847118, "autogenerated": false, "ratio": 3.3342618384401113, "config_test": false, "has...
__author__ = 'jbosley2' import settings as SQLS def new_receipt(data): info = [] cells = data.split("|") # Create Receipt SQLS.db_update( "INSERT INTO receipts " "(dateCreated, seller, firstName, lastName, itemsSold, totalPrice," " description, deptCode, transact...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "sql_inserts.py", "copies": "1", "size": "2523", "license": "mit", "hash": 8513848413138615000, "line_mean": 28.0595238095, "line_max": 120, "alpha_frac": 0.5247720967, "autogenerated": false, "ratio": 3.494459833795014, "config_test": false, "h...
__author__ = 'jbosley2' import settings as SQLS def update_receipt_by_id(request): info = [] cells = request[2].split("|") original_data = SQLS.db_fetch("SELECT * FROM receipts WHERE receiptId = %s;" % cells[0])[0] # Add quantities to inventory of items originally on receipt for el ...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "sql_updates.py", "copies": "1", "size": "4336", "license": "mit", "hash": -6572545484050393000, "line_mean": 32.688, "line_max": 114, "alpha_frac": 0.5306734317, "autogenerated": false, "ratio": 3.763888888888889, "config_test": false, "has_no_...
__author__ = 'jbosley2' import sql_selects as SELECT import sql_inserts as INSERT import sql_updates as UPDATE def request_handler(request): info = [] # ===================[ SELECT QUERIES ]=================== if request[0] == 's': # Select All Receipts if request[1] == 'a...
{ "repo_name": "LSSUHDTeam/SalesServer", "path": "request_handler.py", "copies": "1", "size": "2357", "license": "mit", "hash": 3665225597056200000, "line_mean": 23.9010989011, "line_max": 79, "alpha_frac": 0.4946966483, "autogenerated": false, "ratio": 3.659937888198758, "config_test": false, ...
__author__ = 'jbosley2' import sql_settings as SQLS import routines as ROUTINES import sql_inserts as INSERTS def update_delivery_set_delivered(request): SQLS.db_update("UPDATE reservations SET deliveredBy = '%s', timeDelivered = '%s' WHERE resId = %s;" % (request[3], request[4], requ...
{ "repo_name": "joshbosley/ReservationServer", "path": "sql_updates.py", "copies": "2", "size": "8691", "license": "mit", "hash": -3441027028360505300, "line_mean": 32.6334661355, "line_max": 116, "alpha_frac": 0.5586238638, "autogenerated": false, "ratio": 4.122865275142315, "config_test": fals...
__author__ = 'jbosley2' import sql_settings as SQLS import routines as ROUTINES def insert_new_delivery_location(data): SQLS.db_update("INSERT INTO rooms (roomName) VALUES ('%s');" % data) SQLS.output_update_to_screen("Created new delivery destination . . . . . ") return "1" def insert_...
{ "repo_name": "joshbosley/ReservationServer", "path": "sql_inserts.py", "copies": "2", "size": "6523", "license": "mit", "hash": -4646862859738800000, "line_mean": 34.25, "line_max": 114, "alpha_frac": 0.6092288824, "autogenerated": false, "ratio": 3.7858386535113175, "config_test": false, "h...
__author__ = 'jbosley2' import sql_settings as SQLS import sql_selects as SELECT import sql_inserts as INSERT def admin_check_login(request): user_id = SQLS.db_fetch("SELECT username FROM userAccess WHERE username = '%s';" % request[2]) if len(user_id) > 0: user_id = user_id[0][0] pa...
{ "repo_name": "joshbosley/ReservationServer", "path": "sql_admin.py", "copies": "2", "size": "6774", "license": "mit", "hash": 1080006158493995500, "line_mean": 29.6542056075, "line_max": 120, "alpha_frac": 0.5081192796, "autogenerated": false, "ratio": 3.848863636363636, "config_test": false, ...
__author__ = 'jbosley2' import sql_settings as SQLS def select_future_deliveries(): info = [] info_get = SQLS.db_fetch( "select * from reservations where DATE(resStart) = CURDATE() AND deliveredBy = 'NA' ORDER BY resStart;") try: for el in info_get: for ell in e...
{ "repo_name": "joshbosley/ReservationServer", "path": "sql_selects.py", "copies": "1", "size": "4860", "license": "mit", "hash": 4234208056842360300, "line_mean": 23.5789473684, "line_max": 123, "alpha_frac": 0.5082304527, "autogenerated": false, "ratio": 3.726993865030675, "config_test": false...
__author__ = 'jbowman' # https://pythonspot.com/objects-and-classes/ class User: name = "" def __init__(self, name): self.name = name def sayHello(self): print('Hello, my name is ' + self.name) def sayGoodbye(self): print(self.name + ': Goodybe!') james = User('James') davi...
{ "repo_name": "deo1/deo1", "path": "Legacy/PythonTutorial/13ObjectsClasses.py", "copies": "1", "size": "1196", "license": "mit", "hash": 3030089210530339300, "line_mean": 17.9841269841, "line_max": 49, "alpha_frac": 0.5752508361, "autogenerated": false, "ratio": 3.1473684210526316, "config_test...
__author__ = 'jbowman' # https://pythonspot.com/poylmorphism/ class Bear(object): def sound(self): print("Groarrr") class Dog(object): def sound(self): print("Ruffff") def makeSound(animalType): animalType.sound() bearObj = Bear() dogObj = Dog() makeSound(bearObj) makeSound(dogObj) cl...
{ "repo_name": "deo1/deo1", "path": "Legacy/PythonTutorial/17Polymorphism.py", "copies": "1", "size": "1509", "license": "mit", "hash": 49404665924634250, "line_mean": 19.12, "line_max": 80, "alpha_frac": 0.6156394964, "autogenerated": false, "ratio": 3.1835443037974684, "config_test": false, ...
#A simple program used to make a color-changing orb #Requires the Panda3D game engine to run import direct.directbase.DirectStart from panda3d.core import AmbientLight,DirectionalLight from panda3d.core import NodePath,TextNode from panda3d.core import Camera,Vec3,Vec4 from direct.gui.OnscreenText import OnscreenText...
{ "repo_name": "jbrodin/glowswitch-test", "path": "glowswitch-test.py", "copies": "1", "size": "3010", "license": "mit", "hash": -4604273806460519400, "line_mean": 45.3076923077, "line_max": 173, "alpha_frac": 0.6700996678, "autogenerated": false, "ratio": 3.2968236582694415, "config_test": fals...
__author__ = 'jbt' import pdb import time # motion data is included for localhost testing purposes, since the iOS simulator doesn't produce it. #uniques = { # 'motion': { 'attitude_pitch': 0.733424593851337, # 'attitude_x': -0.2209912033994121, # 'attitude_yaw': 0.08644265799832047, # ...
{ "repo_name": "HumanDynamics/openPDS", "path": "openpds/connectors/opensense/getfunfdata.py", "copies": "3", "size": "7137", "license": "mit", "hash": 228758566633298270, "line_mean": 24.8586956522, "line_max": 108, "alpha_frac": 0.5217878661, "autogenerated": false, "ratio": 3.220667870036101, ...
__author__ = 'jbt' import time import math #import pdb newmotiondata = [] def update(x, y, z, count, variancesum, avg, sums): count+=1 magnitude = math.sqrt(x**2+y**2+z**2) newavg = (count-1)*avg/count + magnitude/count deltaavg = newavg - avg variancesum += (magnitude-newavg)*(magnitude-newavg) ...
{ "repo_name": "eschloss/FluFuture", "path": "openpds/connectors/opensense/getmotiondata.py", "copies": "3", "size": "2276", "license": "mit", "hash": -6853901554696977000, "line_mean": 26.0952380952, "line_max": 117, "alpha_frac": 0.6054481547, "autogenerated": false, "ratio": 3.5507020280811235,...
__author__ = 'jc60' """ A number chain is created by continuously adding the square of the digits in a number to form a new number until it has been seen before. For example, 44 -> 32 -> 13 -> 10 -> 1 -> 1 85 -> 89 -> 145 -> 42 -> 20 -> 4 -> 16 -> 37 -> 58 -> 89 Therefore any chain that arrives at 1 or 89 will becom...
{ "repo_name": "jakubczaplicki/projecteuler", "path": "problem092.py", "copies": "1", "size": "1042", "license": "mit", "hash": 7738394405005846000, "line_mean": 23.8095238095, "line_max": 76, "alpha_frac": 0.6257197697, "autogenerated": false, "ratio": 3.020289855072464, "config_test": false, ...
__author__ = 'jcadam' import json import http.client from argparse import ArgumentParser def decode_response(resp): return json.loads(resp.read().decode('utf-8')) def parse_args(): # We need the CouchDB admin credentials # These can be provided as command line arguments or via prompt parser = ...
{ "repo_name": "rhinoman/wikifeat", "path": "scripts/db_update/common.py", "copies": "1", "size": "1998", "license": "bsd-3-clause", "hash": -7420002658386326000, "line_mean": 28.8208955224, "line_max": 82, "alpha_frac": 0.6511511512, "autogenerated": false, "ratio": 3.776937618147448, "config_t...
__author__ = 'jcastro' from player import Player class Tournament(object): players = {} games = {} @classmethod def parser(cls, game, string): split = string.split(';') player = cls.find_player(split) player.add_game(game, split) @classmethod def find_player(cls, spl...
{ "repo_name": "jcastrojob/kata_tucan", "path": "tournament.py", "copies": "1", "size": "2824", "license": "apache-2.0", "hash": 7213492749092095000, "line_mean": 30.3777777778, "line_max": 80, "alpha_frac": 0.5173512748, "autogenerated": false, "ratio": 4.27231467473525, "config_test": false, ...
__author__ = 'jcastro' from tournament import Tournament import abc class Game(object): __metaclass__ = abc.ABCMeta @abc.abstractmethod def calculate_score(self, score): """Returns final score for player""" class Basketball(Game): point_position = { 'G': [2, 3, 1], 'F': [...
{ "repo_name": "jcastrojob/kata_tucan", "path": "main.py", "copies": "1", "size": "1738", "license": "apache-2.0", "hash": 8572080306230914000, "line_mean": 27.5081967213, "line_max": 76, "alpha_frac": 0.66283084, "autogenerated": false, "ratio": 2.767515923566879, "config_test": false, "has_n...
__author__ = 'jcavalie' import Levenshtein def alignChars( source, target, ErrStats = None, ErrStats_lock = None ): """ alignChars takes a pair of words from parallel corpora that have been word aligned. Errors introduced by the noisy channel (OCR) are revealed by finding the sequence of edit operations ...
{ "repo_name": "jcavalieri8619/OCRerror_correct", "path": "CharacterAligner.py", "copies": "1", "size": "3323", "license": "mit", "hash": -8800505869418218000, "line_mean": 32.23, "line_max": 109, "alpha_frac": 0.6337646705, "autogenerated": false, "ratio": 3.955952380952381, "config_test": fals...
__author__ = 'jcavalie' def determineErrWindows( alignedChars, ErrStats, ErrStats_lock ): ''' @param alignedSource: @type alignedSource: list @param alignedTarget: @type alignedTarget: list @return: @rtype: tuple ''' OBSERVED = 0 HIDDEN = 1 win_start = 0 win_stop = 0...
{ "repo_name": "jcavalieri8619/OCRerror_correct", "path": "locateErrorWindows.py", "copies": "1", "size": "2775", "license": "mit", "hash": 2958728893294801000, "line_mean": 27.3265306122, "line_max": 117, "alpha_frac": 0.5668468468, "autogenerated": false, "ratio": 3.790983606557377, "config_te...
__author__ = 'jcavalie' def subgroups( my_list ): for each_tuple in (lambda p, f = lambda n, g: { (x,) + y for x in range( 1, n ) for y in g( n - x, g ) } | { (n,) }: f( p, f ))( len( my_list ) ): yield list( my_list[ sum( each_tuple[ :index ] ):sum( each_tuple[ :index ] ) +...
{ "repo_name": "jcavalieri8619/OCRerror_correct", "path": "substringMappingStructures.py", "copies": "1", "size": "3640", "license": "mit", "hash": 3507468693579054000, "line_mean": 32.1, "line_max": 116, "alpha_frac": 0.5673076923, "autogenerated": false, "ratio": 4.0625, "config_test": false, ...
__author__ = 'jchugh' from multiprocessing import Process from ConfigParser import NoOptionError from simple_kafka import kafka_client from simple_oauth.oauth import Oauth from simple_oauth.oauth_request import Request from simple_oauth.oauth_token import Token from twitter import TwitterStream from config import confi...
{ "repo_name": "joychugh/learning-kafka", "path": "main.py", "copies": "1", "size": "3725", "license": "mit", "hash": -8468503631386869000, "line_mean": 32.8636363636, "line_max": 110, "alpha_frac": 0.5863087248, "autogenerated": false, "ratio": 4.06215921483097, "config_test": true, "has_no_k...
__author__ = 'jchugh' from pyspark import SparkContext from pyspark.streaming import StreamingContext, dstream from pyspark.streaming.kafka import KafkaUtils from config import config from simple_spark_example.utils import extract_hashtags import simple_kafka try: import simplejson as json except ImportError: i...
{ "repo_name": "joychugh/learning-kafka", "path": "simple_spark_example/spark_example.py", "copies": "1", "size": "2819", "license": "mit", "hash": 4619226677147802000, "line_mean": 31.7790697674, "line_max": 98, "alpha_frac": 0.6598084427, "autogenerated": false, "ratio": 3.463144963144963, "co...
__author__ = 'jchugh' from simple_oauth.oauth_token import Token """ A class representing a request """ class Request(object): def __init__(self, url, method, token=None, query_params=None, payload=None, headers=None, is_streaming=False): """ Initialize the request object :param url: targe...
{ "repo_name": "joychugh/learning-kafka", "path": "simple_oauth/oauth_request.py", "copies": "1", "size": "2960", "license": "mit", "hash": -6647768953452871000, "line_mean": 29.8333333333, "line_max": 115, "alpha_frac": 0.5925675676, "autogenerated": false, "ratio": 4.668769716088328, "config_t...
__author__ = 'jchugh' import uritools import base64 import hmac from hashlib import sha1 import urlparse def rfc3986_encode(input_string): """ Encodes the input string according to RFC3986 standards :param input_string: string to encode :type input_string: str :return: encoded string :rtype: st...
{ "repo_name": "joychugh/learning-kafka", "path": "simple_oauth/oauth_utils.py", "copies": "1", "size": "1845", "license": "mit", "hash": -7131494030869074000, "line_mean": 28.2857142857, "line_max": 98, "alpha_frac": 0.664498645, "autogenerated": false, "ratio": 3.7122736418511066, "config_test...
__author__ = 'jchugh' import uuid import time from requests.models import Response import requests import copy import oauth_utils from simple_oauth.oauth_request import Request from oauth_token import Token """ A library to help with oAuth1 requests """ class Oauth(object): """ oAuth1 provides easy to use en...
{ "repo_name": "joychugh/learning-kafka", "path": "simple_oauth/oauth.py", "copies": "1", "size": "10790", "license": "mit", "hash": -7262872245787523000, "line_mean": 39.5676691729, "line_max": 120, "alpha_frac": 0.5645968489, "autogenerated": false, "ratio": 4.5412457912457915, "config_test": ...
__author__ = 'jchugh' from simple_oauth.oauth_request import Request class TwitterStream(object): """ A class representing twitter client to get streaming tweets """ def __init__(self, oauth, json_parser): """ Initialize the twitter streaming client with the Oauth instance :par...
{ "repo_name": "joychugh/learning-kafka", "path": "twitter.py", "copies": "1", "size": "1995", "license": "mit", "hash": 6393870072083001000, "line_mean": 29.2272727273, "line_max": 77, "alpha_frac": 0.569924812, "autogenerated": false, "ratio": 4.375, "config_test": false, "has_no_keywords": ...
__author__ = 'jcl5m1' import numpy as np import cv2 from itertools import * from random import * from math import * import collections from ImageUtilities import * class TrainingRegion: p1 = (0,0) p2 = (0,0) center = (0,0) def __init__(self): self.set((0, 0), (0, 0)) def set_p2(self, p2)...
{ "repo_name": "jcl5m1/CVToolsPython", "path": "VisualDecisionForest/TrainingRegion.py", "copies": "1", "size": "2148", "license": "apache-2.0", "hash": -5862110903898044000, "line_mean": 25.1951219512, "line_max": 83, "alpha_frac": 0.5041899441, "autogenerated": false, "ratio": 2.6004842615012107...
__author__ = 'jcl5m' import cv2 import numpy as np import math import os import argparse import sys sys.path.append('../common/') import transformations def pinhole_from_cylindrical_dewarp(src_img, dst_img, src_center, dst_fov): src_h, src_w, src_depth = src_img.shape dst_h, dst_w, dst_depth = dst_img.shape ...
{ "repo_name": "jcl5m1/CVToolsPython", "path": "RicohTheta/matcher.py", "copies": "1", "size": "4684", "license": "apache-2.0", "hash": 2023327562100806400, "line_mean": 28.6455696203, "line_max": 101, "alpha_frac": 0.5947907771, "autogenerated": false, "ratio": 2.5008008542445275, "config_test"...
__author__ = 'jcl5m' import numpy as np import random import math import matplotlib matplotlib.use('Qt4Agg') #matplotlib.use('TkAgg') import matplotlib.pyplot as plt from matplotlib import animation import math import sys sys.path.append('../common/') import transformations as xform import geometery as geo from homogra...
{ "repo_name": "jcl5m1/CVToolsPython", "path": "RandomDotCorrespondence/RandomDotCorrespondence.py", "copies": "1", "size": "10561", "license": "apache-2.0", "hash": -6679734187175650000, "line_mean": 31.9034267913, "line_max": 123, "alpha_frac": 0.5990909952, "autogenerated": false, "ratio": 3.23...
__author__ = 'jcl5m' import cv2 import numpy as np import math import os import argparse def pinhole_dewarp_LUT(src_img, dst_img, src_center, dst_fov, src_f): src_h, src_w, src_depth = src_img.shape dst_h, dst_w, dst_depth = dst_img.shape lut = [] for r in range(dst_h): for c in range(dst_w)...
{ "repo_name": "jcl5m1/CVToolsPython", "path": "FisheyeDewarper/fisheyedewarp.py", "copies": "1", "size": "6087", "license": "apache-2.0", "hash": -4445055849095218000, "line_mean": 31.0421052632, "line_max": 92, "alpha_frac": 0.5794315755, "autogenerated": false, "ratio": 2.966374269005848, "co...
__author__ = 'jcorbett' from mongoengine import * from .componentReference import ComponentReference from .projectReference import ProjectReference from .featureReference import FeatureReference from .recurringNote import RecurringNote from .step import Step class Testcase(Document): meta = {'collection': 'testc...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/testcase.py", "copies": "1", "size": "1241", "license": "apache-2.0", "hash": 7413247867465693000, "line_mean": 34.4571428571, "line_max": 67, "alpha_frac": 0.7566478646, "autogenerated": false, "ratio": 4.630597014925373, "config_te...
__author__ = 'jcorbett' from mongoengine import * import datetime from .types import AllTypes TestrunListDashboardTypeName = "TestrunListDashboard" class TestrunFinder(EmbeddedDocument): name = StringField(required=True) query = StringField(required=True) class InnerGroup(EmbeddedDocument): name = S...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/dashboards/testrunListDashboard.py", "copies": "1", "size": "1502", "license": "apache-2.0", "hash": 3855713430289035300, "line_mean": 29.04, "line_max": 125, "alpha_frac": 0.7403462051, "autogenerated": false, "ratio": 4.1150684931506...
__author__ = 'jcorbett' from .reporting import import_start, import_end import slickqa import os import glob import traceback import yaml import sys import bson def import_features(slick, path, onstart=import_start, onend=import_end, delete=False): """ Import any features from the path specified. :param sli...
{ "repo_name": "slickqa/slick-import", "path": "slickimport/features.py", "copies": "1", "size": "3926", "license": "apache-2.0", "hash": 1691714099773337900, "line_mean": 44.6511627907, "line_max": 126, "alpha_frac": 0.6158940397, "autogenerated": false, "ratio": 4.018423746161719, "config_test...
__author__ = 'jcorbett' from .reporting import import_start, import_end import slickqa import os import glob import traceback import yaml import sys def import_components(slick, path, onstart=import_start, onend=import_end, delete=False): """ Import any components from the path specified. :param slick: The ...
{ "repo_name": "slickqa/slick-import", "path": "slickimport/components.py", "copies": "1", "size": "2343", "license": "apache-2.0", "hash": 5317419399435434000, "line_mean": 38.7118644068, "line_max": 111, "alpha_frac": 0.6355100299, "autogenerated": false, "ratio": 3.9444444444444446, "config_t...
__author__ = 'jcorbett' from .reporting import import_start, import_end import slickqa import os import glob import traceback import yaml import sys def import_projects(slick, path, onstart=import_start, onend=import_end, delete=False): """ Import any projects from the path specified. :param slick: The conn...
{ "repo_name": "slickqa/slick-import", "path": "slickimport/projects.py", "copies": "1", "size": "2097", "license": "apache-2.0", "hash": -928523638060920400, "line_mean": 35.1551724138, "line_max": 96, "alpha_frac": 0.6175488794, "autogenerated": false, "ratio": 3.905027932960894, "config_test"...
__author__ = 'jcorbett' from slickqaweb.app import app from slickqaweb.model.systemConfiguration import load_system_configuration_type, SystemConfigurationTypes, BaseSystemConfiguration from slickqaweb.model.serialize import deserialize_that from slickqaweb.model.query import queryFor from flask import request from .s...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/api/systemConfiguration.py", "copies": "1", "size": "4428", "license": "apache-2.0", "hash": 6776001540349723000, "line_mean": 46.1063829787, "line_max": 145, "alpha_frac": 0.7486449864, "autogenerated": false, "ratio": 4.066115702479339, ...
__author__ = 'jcorbett' from slickqaweb.app import app from slickqaweb.model.userAccount import UserAccount from .standardResponses import JsonResponse, read_request from slickqaweb.model.query import queryFor from flask import Response from .apidocs import add_resource, accepts, returns, argument_doc, standard_query_...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/api/user.py", "copies": "1", "size": "1886", "license": "apache-2.0", "hash": -1048082960750906900, "line_mean": 35.2692307692, "line_max": 148, "alpha_frac": 0.7407211029, "autogenerated": false, "ratio": 3.81010101010101, "config_test": ...
__author__ = 'jcorbett' from slickqaweb.model.testcase import Testcase from slickqaweb.model.testcaseReference import TestcaseReference from slickqaweb.model.project import Project from slickqaweb.model.projectReference import ProjectReference from slickqaweb.model.componentReference import ComponentReference from sli...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/dereference.py", "copies": "1", "size": "6521", "license": "apache-2.0", "hash": 6046518376726017000, "line_mean": 41.9013157895, "line_max": 120, "alpha_frac": 0.7248888207, "autogenerated": false, "ratio": 4.174775928297055, "confi...
__author__ = 'jcorbett' from .standardResponses import JsonResponse, read_request from slickqaweb.model.slickLogEvent import SlickLogEvent from slickqaweb.app import app from slickqaweb.model.query import queryFor from slickqaweb.model.serialize import deserialize_that from .apidocs import add_resource, accepts, retur...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/api/slicklogevents.py", "copies": "1", "size": "1193", "license": "apache-2.0", "hash": -365544782038394900, "line_mean": 37.4838709677, "line_max": 107, "alpha_frac": 0.7359597653, "autogenerated": false, "ratio": 3.2955801104972378, "con...
__author__ = 'jcorbett' import glob import os import datetime # this little gem will import every .py file in this directory # the advantage is that we can just import slickqaweb.model.dashboards and all the # types will be added to types.allTypes dashboard_types_path = os.path.dirname(__file__) dashboard_types_path...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/dashboards/__init__.py", "copies": "1", "size": "1352", "license": "apache-2.0", "hash": 2776231551275398000, "line_mean": 30.4418604651, "line_max": 89, "alpha_frac": 0.7359467456, "autogenerated": false, "ratio": 3.683923705722071, ...
__author__ = 'jcorbett' import glob import os # this little gem will import every .py file in this directory # the advantage is that we can just import slickqaweb.model.systemConfiguration and all the # types will be added to types.allTypes compile_steps_path = os.path.dirname(__file__) compile_steps_path_length = l...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/systemConfiguration/__init__.py", "copies": "1", "size": "1147", "license": "apache-2.0", "hash": 3244456938903246000, "line_mean": 27.675, "line_max": 95, "alpha_frac": 0.7349607672, "autogenerated": false, "ratio": 3.760655737704918,...
__author__ = 'jcorbett' import logging from ujson import dumps from .app import app from .model.serialize import serialize_this from .model.slickLogEvent import SlickLogEvent, EventTypes from kombu import producers import sys event_topic_mapping = { } class SlickEventError(Exception): pass class Event(objec...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/events.py", "copies": "1", "size": "4747", "license": "apache-2.0", "hash": -7596177010312095000, "line_mean": 35.2366412214, "line_max": 180, "alpha_frac": 0.5974299558, "autogenerated": false, "ratio": 3.945968412302577, "config_test": f...
__author__ = 'jcorbett' import mongoengine import bson import datetime import types import inspect import logging def serializable(func): func.__serialize__ = True return func plain_types = ((str,), int, int, float, float, type(None)) document_types = (mongoengine.EmbeddedDocument, mongoengine.Document) epoc...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/serialize.py", "copies": "1", "size": "5012", "license": "apache-2.0", "hash": -8750072586135874000, "line_mean": 39.7479674797, "line_max": 126, "alpha_frac": 0.602952913, "autogenerated": false, "ratio": 4.365853658536586, "config_...
__author__ = 'jcorbett' import os import re import sys import subprocess import json import xml.etree.ElementTree as ET from flask import Response from slickqaweb.app import app if os.path.exists(os.path.join(os.path.dirname(__file__), '..', '..', 'slickqawebtest')): xml_filename_pattern = re.compile('XML: (.*...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/api/unittest.py", "copies": "1", "size": "2054", "license": "apache-2.0", "hash": 5547503260334347000, "line_mean": 33.813559322, "line_max": 136, "alpha_frac": 0.5462512171, "autogenerated": false, "ratio": 4.157894736842105, "config_test...
__author__ = 'jcorbett' import types import re import sys import logging import pprint from flask import request def is_not_provided(obj, attr_name): if not hasattr(obj, attr_name): return True if getattr(obj, attr_name) is None: return True if isinstance(getattr(obj, attr_name), (str,))...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/utils.py", "copies": "1", "size": "1737", "license": "apache-2.0", "hash": 9027123957858966000, "line_mean": 30.5818181818, "line_max": 105, "alpha_frac": 0.6367299942, "autogenerated": false, "ratio": 3.574074074074074, "config_test": fal...
__author__ = 'jcorbett' import unittest class Dummy(unittest.TestCase): def nop(self): pass _t = Dummy('nop') # doing it this way (instead of dynamically like nose.tools does) gives us code completion assert_false = _t.assertFalse assert_true = _t.assertTrue assert_raises = _t.assertRaises assert_equal ...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqawebtest/asserts.py", "copies": "1", "size": "1401", "license": "apache-2.0", "hash": 2629960560292930600, "line_mean": 30.8409090909, "line_max": 90, "alpha_frac": 0.7773019272, "autogenerated": false, "ratio": 3.4254278728606358, "config_test...
__author__ = 'jcorbett' from mongoengine import * from .types import AllTypes from .subscriptionInfo import SubscriptionInfo EmailSubscriptionSystemConfigurationType = "email-subscription" # this is the default class name, kept for compatibility reasons EmailSubscriptionSystemConfigurationClassName = "org.tcrun.sl...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/systemConfiguration/emailSubscription.py", "copies": "1", "size": "1443", "license": "apache-2.0", "hash": 8692832080145306000, "line_mean": 36.9736842105, "line_max": 155, "alpha_frac": 0.7823977824, "autogenerated": false, "ratio": 5...
__author__ = 'jcorbett' from slickqaweb.app import app from .standardResponses import JsonResponse from mongoengine import * from flask import request import re import types #------------- For documenting other API endpoints --------------------------- resources = [] def standard_query_parameters(f): if not ha...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/api/apidocs.py", "copies": "1", "size": "13173", "license": "apache-2.0", "hash": 8642785155971280000, "line_mean": 36.3172804533, "line_max": 138, "alpha_frac": 0.6352387459, "autogenerated": false, "ratio": 4.268632534024627, "config_tes...
__author__ = 'jcorbett' ################################################################################# # I know this file is a mess, it's an example of experiment driven coding. # over time I will start putting in unit tests and cleaning this up and making # it more orderly ########################################...
{ "repo_name": "slickqa/slickqaweb", "path": "slickqaweb/model/query.py", "copies": "1", "size": "6521", "license": "apache-2.0", "hash": 561065489533474400, "line_mean": 34.4402173913, "line_max": 184, "alpha_frac": 0.6264376629, "autogenerated": false, "ratio": 3.5021482277121376, "config_test...
__author__ = 'jcrossler' import numpy import json from procyon.starsystemmaker import math_helpers from procyon.starsystemmaker.name_library import * try: from django.core.cache import cache from django.forms.models import model_to_dict except ImportError: # Probably Django not loaded, include for testing...
{ "repo_name": "jaycrossler/procyon", "path": "procyon/generators/story_helpers.py", "copies": "1", "size": "25300", "license": "mit", "hash": 4319144785619524000, "line_mean": 36.7064083458, "line_max": 184, "alpha_frac": 0.5686956522, "autogenerated": false, "ratio": 4.039597636915216, "config...
__author__ = 'JCU Robo Club (IEEE Student Branch)' import numpy as np import cv2 as cv import tkinter as tk from PIL import Image, ImageTk # sudo pip3 install pillow class App: def __init__(self, tkroot): # cam self.root = tkroot self.cam = cv.VideoCapture(0) ret, self.first = se...
{ "repo_name": "jcuroboclub/Robot-Tracker", "path": "main.py", "copies": "1", "size": "7181", "license": "mit", "hash": -7398139000298249000, "line_mean": 41, "line_max": 79, "alpha_frac": 0.5387828993, "autogenerated": false, "ratio": 3.3415542112610517, "config_test": true, "has_no_keywords"...
__author__ = 'jdaniel' from abc import ABCMeta from abc import abstractmethod class Algorithm(object): __metaclass__ = ABCMeta def __init__(self): """ Algorithm base class which defines the API for connecting algorithms into the framework. :return: None """ se...
{ "repo_name": "jldaniel/Gaia", "path": "GaiaSolve/algorithm.py", "copies": "1", "size": "3442", "license": "mit", "hash": 7311319004629025000, "line_mean": 29.4690265487, "line_max": 99, "alpha_frac": 0.6115630447, "autogenerated": false, "ratio": 4.368020304568528, "config_test": false, "has...
__author__ = 'jdaniel' from abc import ABCMeta from abc import abstractmethod # TODO: Document Model class methods class Model(object): __metaclass__ = ABCMeta def __init__(self): """ :return: """ self._host = None self._design_values = None self._objective_v...
{ "repo_name": "jldaniel/Gaia", "path": "GaiaSolve/model.py", "copies": "1", "size": "3254", "license": "mit", "hash": -743521047306111500, "line_mean": 15.0344827586, "line_max": 51, "alpha_frac": 0.4757221881, "autogenerated": false, "ratio": 4.544692737430168, "config_test": false, "has_no_...
__author__ = 'jdaniel' from algorithm_base import * import random import scipy import numpy as np class Spheres(AlgorithmBase): def __init__(self, objective_function): super(Spheres, self).__init__(objective_function) """ Serial implementation for the local models algorithm PSOV us...
{ "repo_name": "jldaniel/Gaia", "path": "Algorithms/spheres.py", "copies": "1", "size": "1485", "license": "mit", "hash": -1866800274682306600, "line_mean": 25.5178571429, "line_max": 88, "alpha_frac": 0.597979798, "autogenerated": false, "ratio": 4.183098591549296, "config_test": false, "has_...
__author__ = 'jdaniel' from algorithm_base import * import random class Islands(AlgorithmBase): def __init__(self, objective_function): super(Islands, self).__init__(objective_function) """ Serial implementation fo the Islands PMOGA using NSGA-2 :param objective_function: <functio...
{ "repo_name": "jldaniel/Gaia", "path": "Algorithms/islands.py", "copies": "1", "size": "4738", "license": "mit", "hash": -6754653203777419000, "line_mean": 32.1328671329, "line_max": 99, "alpha_frac": 0.6000422119, "autogenerated": false, "ratio": 4.1164205039096435, "config_test": false, "ha...
__author__ = 'jdaniel' from algorithm_base import * import random class Serial(AlgorithmBase): def __init__(self, objective_function): super(Serial, self).__init__(objective_function) """ Serial implementation of the NSGA-2 MOGA. :param objective_function: <function> Objective fu...
{ "repo_name": "jldaniel/Gaia", "path": "Algorithms/serial.py", "copies": "1", "size": "3961", "license": "mit", "hash": 912665445685358000, "line_mean": 30.4365079365, "line_max": 104, "alpha_frac": 0.5657662207, "autogenerated": false, "ratio": 4.343201754385965, "config_test": false, "has_n...
__author__ = 'jdaniel' from Algorithms import serial from GaiaSolve.algorithm import Algorithm class SERIAL(Algorithm): def __init__(self): """ Wrapped version of the serial NSGA-2 algorithm :return: None """ super(SERIAL, self).__init__() def run(self): """ ...
{ "repo_name": "jldaniel/Gaia", "path": "GaiaSolve/Algorithms/_serial.py", "copies": "1", "size": "1949", "license": "mit", "hash": 8890000045541127000, "line_mean": 28.5303030303, "line_max": 74, "alpha_frac": 0.5767060031, "autogenerated": false, "ratio": 3.898, "config_test": false, "has_no...
__author__ = 'jdaniel' from AthenaOpt.configuration import Configuration from AthenaOpt.configuration import encode_configuration from os import urandom import json algorithm = 'SERIAL' models = ['ZDT1', 'ZDT2', 'ZDT3', 'ZDT4', 'ZDT6'] pop_size = [16, 32, 64, 128, 256, 512, 1024] conv_tol = 1e-4 crossover_index = 15 ...
{ "repo_name": "jldaniel/Athena", "path": "Util/generate_zdt_serial_batch.py", "copies": "1", "size": "1946", "license": "mit", "hash": 569011356872405060, "line_mean": 33.75, "line_max": 103, "alpha_frac": 0.6274409044, "autogenerated": false, "ratio": 3.518987341772152, "config_test": true, ...
__author__ = 'jdaniel' from GaiaPre import * from GaiaSolve import * from GaiaPost import * import os import subprocess def test_serial_zdt1(): # Create in input file input_file = "test_serial_zdt1.in" fp = open(input_file, 'w') # Write the input file parameters cwd = os.getcwd() model_dir =...
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__author__ = 'jdaniel' from GaiaSolve.common import ModelInfo from GaiaSolve.common import GaiaException class Host(object): def __init__(self): self.model = None self.algorithm = None def set_model(self, model): self.model = model self.model.set_host(self) def set_algor...
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__author__ = 'jdaniel' from GaiaSolve.model import Model import SpherePacking.sphere_packing from math import pi class PACKING(Model): def __init__(self): super(PACKING, self).__init__() self.radii = [0.25]*5 + [0.15]*5 # spheres assumed to be Aluminum masses = [] for rad...
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__author__ = 'jdaniel' from GaiaSolve.model import Model from math import cos, atan2, pi class TNK(Model): def __init__(self): super(TNK, self).__init__() def evaluate(self): x1 = self.x[0] x2 = self.x[1] f1 = x1 f2 = x2 g1 = x1**2 + x2**2 - 1.0 - 0.1*cos(16*...
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__author__ = 'jdaniel' from GaiaSolve.model import Model from math import cos, pi from operator import mul from functools import reduce class DTLZ1(Model): def __init__(self): super(DTLZ1, self).__init__() def evaluate(self): g = 100 * (len(self.x[2:]) + sum((xi-0.5)**2 -...
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__author__ = 'jdaniel' from GaiaSolve.model import Model from math import cos, pi, sqrt class ZDT4(Model): def __init__(self): super(ZDT4, self).__init__() def evaluate(self): g = 1.0 + 10.0*(len(self.x) - 1) + \ sum(xi**2 - 10.0*cos(4.0*pi*xi) for xi in self.x[1:]) f1 =...
{ "repo_name": "jldaniel/Gaia", "path": "Models/zdt4.py", "copies": "1", "size": "1091", "license": "mit", "hash": -5284500744023897000, "line_mean": 21.2857142857, "line_max": 65, "alpha_frac": 0.5398716774, "autogenerated": false, "ratio": 3.1350574712643677, "config_test": false, "has_no_ke...
__author__ = 'jdaniel' from GaiaSolve.model import Model from math import sin, cos, pi from operator import mul from functools import reduce class DTLZ2(Model): def __init__(self): super(DTLZ2, self).__init__() def evaluate(self): xc = self.x[:2] xm = self.x[2:] g = sum((xi-...
{ "repo_name": "jldaniel/Gaia", "path": "Models/dtlz2.py", "copies": "1", "size": "1265", "license": "mit", "hash": 2204860261290330600, "line_mean": 23.3461538462, "line_max": 78, "alpha_frac": 0.557312253, "autogenerated": false, "ratio": 3.1944444444444446, "config_test": false, "has_no_key...
__author__ = 'jdaniel' from GaiaSolve.model import Model from math import sin, cos, pi from operator import mul from functools import reduce class DTLZ3(Model): def __init__(self): super(DTLZ3, self).__init__() def evaluate(self): xc = self.x[:2] xm = self.x[2:] g = 100*(len...
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__author__ = 'jdaniel' from GaiaSolve.model import Model from math import sin, pi, exp class ZDT6(Model): def __init__(self): super(ZDT6, self).__init__() def evaluate(self): g = 1.0 + 9.0*(sum(self.x[1:]) / (len(self.x) - 1))**0.25 f1 = 1 - exp(-4*self.x[0])*sin(6.0*pi*self.x[0])**...
{ "repo_name": "jldaniel/Gaia", "path": "Models/zdt6.py", "copies": "1", "size": "1066", "license": "mit", "hash": -7788677549348956000, "line_mean": 21.2291666667, "line_max": 65, "alpha_frac": 0.5459662289, "autogenerated": false, "ratio": 3.126099706744868, "config_test": false, "has_no_key...
__author__ = 'jdaniel' from GaiaSolve.model import Model from math import sqrt, sin, pi class ZDT3(Model): def __init__(self): super(ZDT3, self).__init__() def evaluate(self): g = 1.0 + 9.0*sum(self.x[1:])/(len(self.x) - 1) f1 = self.x[0] f2 = g*(1.0 - sqrt(f1/g) - f1/g * si...
{ "repo_name": "jldaniel/Gaia", "path": "Models/zdt3.py", "copies": "1", "size": "1248", "license": "mit", "hash": -5113116123723817000, "line_mean": 20.9122807018, "line_max": 58, "alpha_frac": 0.5633012821, "autogenerated": false, "ratio": 3.310344827586207, "config_test": false, "has_no_key...
__author__ = 'jdaniel' from GaiaSolve.model import Model class ZDT2(Model): def __init__(self): super(ZDT2, self).__init__() def evaluate(self): g = 1.0 + 9.0*sum(self.x[1:])/(len(self.x) - 1) f1 = self.x[0] f2 = g*(1.0 - (f1/g)**2) self.obj = [f1, f2] self.eq...
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__author__ = 'jdaniel' from math import sqrt from GaiaSolve.model import Model class ZDT1(Model): def __init__(self): super(ZDT1, self).__init__() def evaluate(self): g = 1.0 + 9.0*sum(self.x[1:])/(len(self.x) - 1) f1 = self.x[0] f2 = g * (1.0 - sqrt(f1/g)) self.obj...
{ "repo_name": "jldaniel/Gaia", "path": "Models/zdt1.py", "copies": "1", "size": "1216", "license": "mit", "hash": 6069418842455887000, "line_mean": 19.2666666667, "line_max": 55, "alpha_frac": 0.5600328947, "autogenerated": false, "ratio": 3.3966480446927374, "config_test": false, "has_no_key...
__author__ = 'jdaniel' from sphere_packing import evaluate from sphere_packing import plot_system import numpy as np from math import pi import scipy def run_single(): positions = -5 + np.random.rand(30)*10 radii = [0.25]*5 + [0.15]*5 masses = [] for rad in radii: masses.append(2700*(4/3)*pi*...
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__author__ = 'jdaniel' import argparse from distutils.core import setup, Command import shutil from setuptools import find_packages import os import sys __version__ = "1.0.0" GAIA_DIR = os.getenv("HOME") + "/Gaia_v" + __version__ #GAIA_DIR = "/my/custom/install/location" + "/Gaia_" + __version__ class Color(object)...
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__author__ = 'jdaniel' import argparse import datetime import json import imp import inspect import os import random class GaiaPre(object): def __init__(self): """ Pre-processing program to create a case file from a key/value pair input file to be used for configuration a GaiaSolve optimi...
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__author__ = 'jdaniel' import argparse import datetime import json import os import inspect import imp import time from GaiaSolve.common import GaiaException from GaiaSolve.host import Host # For testing import matplotlib.pyplot as plt class GaiaSolve(object): def __init__(self): """ Primary pr...
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__author__ = 'jdaniel' import copy import random import itertools import operator import math import struct import os import sys import json from collections import defaultdict class AlgorithmBase(object): def __init__(self, objective_function): """ Base Algorithm class which contains utility fun...
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__author__ = 'jdaniel' import numpy as np def evaluate(positions, radii, masses): """ Evaluate the system to get the interference and inertia :param positions: :param radii: :param masses: :return: """ X = positions[:] nobj = len(positions)/3 X.shape = (3, nobj) R = radii ...
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__author__ = 'jdaniel' # Local Imports from common import WintermuteException from history import History from individual import Individual from surrogate import Surrogate from random import Random class Algorithm(object): """ Runs the wintermute algorithm """ def __init__(self, model, options): ...
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__author__ = 'jdaniel' class GaiaException(Exception): def __init__(self, message): Exception.__init__(self, message) class ModelInfo(): def __init__(self): """ Internal data holder class for storing information about the model. This information is passed to the manager for d...
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__author__ = 'jdaniel' class MasterSlave(object): def __init__(self, objective_function): self._objective_function = objective_function self._variables = [] self._equality_constraints = [] self._inequality_constraints = [] self._objectives = [] # Optimization Optio...
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__author__ = 'jdaniel' from GaiaSolve.model import Model from math import sin, cos, pi class POLONI(Model): def __init__(self): """ Poloni's multiobjective function on a two attribute *individual*. From: C. Poloni, "Hybrid GA for multi objective aerodynamic shape optimization", ...
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__author__ = 'jdaniel' import datetime class WintermuteException(Exception): """ Custom exception for the Wintermute optimization framework """ def __init__(self, message): """ Initialize the custom Wintermute exception :param message: The message explaining what went wrong ...
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