text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = 'palmer'
def nosmooth(mzs,intensities):
return intensities
def sg_smooth(mzs,intensities,n_smooth=1,w_size=5):
import scipy.signal as signal
for n in range(0,n_smooth):
intensities = signal.savgol_filter(intensities,w_size,2)
intensities[intensities<0]=0
return intensities
de... | {
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"path": "smoothing.py",
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"size": "1335",
"license": "apache-2.0",
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"autogenerated": false,
"ratio": 2.59727626459144,
"config_test": false,
"has_no_ke... |
__author__ = 'palmer'
def hdf5_centroids_IMS(input_filename, output_filename):
# Convert hdf5 to imzML
imsDataset = inMemoryIMS(input_filename,cache_spectra=False,do_summary=False)
coords = imsDataset.coords
coords -= np.amin(coords, axis=0)
step = []
for i in range(3):
u = list(np.dif... | {
"repo_name": "andy-d-palmer/pyIMS",
"path": "pyImagingMSpec/convert/hdf5.py",
"copies": "2",
"size": "1833",
"license": "apache-2.0",
"hash": -6520832026413412000,
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"ratio": 3.1549053356282273,
"conf... |
__author__ = 'Pamungkas Jayuda'
from rest_framework import serializers
<<<<<<< HEAD
from MASTER.models import Kecamatan, Kelurahan, Kabupaten, Provinsi, Dusun
=======
from MASTER.models import Kecamatan, Kelurahan, Kabupaten, Provinsi, Dusun, Peralatan
>>>>>>> 58d9661c466c7b4de1d8096096fb78de7020e426
class Provinsi... | {
"repo_name": "ThinkBuntu/rembugdesa",
"path": "MASTER/serializers.py",
"copies": "1",
"size": "1590",
"license": "mit",
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"autogenerated": false,
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__author__ = "Panagiotis Garefalakis"
__copyright__ = "Imperial College London"
# The MIT License (MIT)
#
# Copyright (c) 2016 Panagiotis Garefalakis
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the... | {
"repo_name": "pgaref/memcached_bench",
"path": "Python_plots/plots/utilisation/memory/cluster_mem.py",
"copies": "1",
"size": "4481",
"license": "mit",
"hash": 223676992876890270,
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"line_max": 117,
"alpha_frac": 0.6621289891,
"autogenerated": false,
"ratio": 3.32171979... |
__author__ = 'pandazxx'
from u115 import API
import logging
import os
import time
import sys
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
print "Please input username:"
username = sys.stdin.readline().rstrip("\n")
password = sys.stdin.readline().rstrip("\n")
remote_path = "tobe_d... | {
"repo_name": "pandazxx/115machine",
"path": "demo.py",
"copies": "1",
"size": "1867",
"license": "bsd-2-clause",
"hash": 5913256662915439000,
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"alpha_frac": 0.6673808249,
"autogenerated": false,
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"config_test": false,
"ha... |
#time complexity: O(length(string) + length(pattern))
#space complexity: O(length(string) + length(pattern))
#Link to theory: http://www.geeksforgeeks.org/z-algorithm-linear-time-pattern-searching-algorithm/
def z_algo(arr):
z = [0 for i in range(len(arr))]
left , right = 0 , 0
for k in range(1 , len(ar... | {
"repo_name": "mission-peace/interview",
"path": "python/string/Z_Algorithm.py",
"copies": "1",
"size": "1438",
"license": "apache-2.0",
"hash": 3437119531827462700,
"line_mean": 25.6296296296,
"line_max": 98,
"alpha_frac": 0.4826147427,
"autogenerated": false,
"ratio": 3.431980906921241,
"conf... |
__author__ = 'pankaj'
import threading
import time
import psycopg2
conn= psycopg2.connect(dbname='devikadb', user='devikatest1', password='asdf1234',host='localhost')
cur=conn.cursor()
exit_thread=0
class myThread (threading.Thread):
def __init__(self, threadID, name, counter):
threading.Thread.__init_... | {
"repo_name": "pankajanand18/python-tests",
"path": "databasetest.py",
"copies": "1",
"size": "1747",
"license": "mit",
"hash": 4190953492921532000,
"line_mean": 22.2933333333,
"line_max": 99,
"alpha_frac": 0.6307956497,
"autogenerated": false,
"ratio": 3.4870259481037924,
"config_test": true,
... |
__author__ = 'pankaj'
class HeapNode(object):
def __init__(self,data):
self.data= data
self.count = 0
self.nodeLocation = None
class Heap(object):
capacity=10
def __init__(self):
self.nodes=[None] * (Heap.capacity+1)
self.size= 1
def maxHeapify(self,index):
... | {
"repo_name": "pankajanand18/python-tests",
"path": "trees/word_count_heap.py",
"copies": "1",
"size": "3430",
"license": "mit",
"hash": 8847618788975076000,
"line_mean": 23.8550724638,
"line_max": 86,
"alpha_frac": 0.5647230321,
"autogenerated": false,
"ratio": 3.7816979051819186,
"config_test... |
__author__ = 'pankaj'
def getPallindromeCount(string):
mid=0
right=0
left=0
counter =0
longest_length=0
while mid < len(string):
right=mid
left=mid
found = True
while right >=0 and left < len(string):
if string[right] == string[left]:
... | {
"repo_name": "pankajanand18/python-tests",
"path": "trees/pallindrome_count.py",
"copies": "1",
"size": "1211",
"license": "mit",
"hash": -5216490927087861000,
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"line_max": 50,
"alpha_frac": 0.4616019818,
"autogenerated": false,
"ratio": 4.190311418685121,
"config_te... |
# this is an example of overiding and concept of super in python
class Contact():
all_contacts= list()
def __init__(self,name,email):
self.name = name
self.email = email
Contact.all_contacts.append(self)
def try0(self):
print("hi im inside the contacts class")
d... | {
"repo_name": "PankeshGupta/pynotes",
"path": "overiding_super.py",
"copies": "1",
"size": "1291",
"license": "mit",
"hash": 7200767046025358000,
"line_mean": 25.3469387755,
"line_max": 83,
"alpha_frac": 0.6057319907,
"autogenerated": false,
"ratio": 3.3187660668380463,
"config_test": false,
... |
__author__ = 'panzer'
from swampy.TurtleWorld import *
from math import pi
def initTurtle(delay = 0.01):
"""
Initializes a turtle object
:param delay: Delay before each action of the turtle. Lower it is the faster the turtle moves.
:return: turtle object
"""
TurtleWorld()
t = Turtle()
t.delay = delay
... | {
"repo_name": "BigFatNoob-NCSU/x9115george2",
"path": "hw/code/2/4_2.py",
"copies": "1",
"size": "2151",
"license": "mit",
"hash": 6295447243968492000,
"line_mean": 19.6923076923,
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"alpha_frac": 0.6336587634,
"autogenerated": false,
"ratio": 3.0253164556962027,
"config_test": fal... |
__author__ = 'panzer'
from swampy.TurtleWorld import *
from math import radians, sin
def initTurtle(delay = 0.01):
"""
Initializes a turtle object
:param delay: Delay before each action of the turtle. Lower it is the faster the turtle moves.
:return: turtle object
"""
TurtleWorld()
t = Turtle()
t.delay... | {
"repo_name": "BigFatNoob-NCSU/x9115george2",
"path": "hw/code/2/4_3.py",
"copies": "1",
"size": "1206",
"license": "mit",
"hash": 2151840518107612400,
"line_mean": 21.3518518519,
"line_max": 96,
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"autogenerated": false,
"ratio": 2.817757009345794,
"config_test": fals... |
__author__ = 'panzer'
import sys, os
sys.path.append(os.path.abspath("."))
from utils.lib import O
class BinaryTree(O):
def __init__(self):
"""
Points to root of the tree and number of children under it
:return:
"""
O.__init__(self)
self.n = 0
self.left = None
self.right = None
def... | {
"repo_name": "bigfatnoob/optima",
"path": "algorithms/gale/binary_tree.py",
"copies": "1",
"size": "1456",
"license": "mit",
"hash": 6000435890196547000,
"line_mean": 20.1014492754,
"line_max": 79,
"alpha_frac": 0.595467033,
"autogenerated": false,
"ratio": 3.6218905472636815,
"config_test": f... |
__author__ = 'paolinux'
from urlparse import urlparse
import json
class Node:
node = None
def __init__(self,url,score,matchings,tree):
self.node = {}
self.node['children'] = []
self.node['parent'] = -1
self.node['own_score'] = score
self.node['total_score'] = 0
... | {
"repo_name": "paolinux79/SimpleScraper",
"path": "ScrapeTree/Node.py",
"copies": "1",
"size": "1443",
"license": "bsd-2-clause",
"hash": 858026261615105400,
"line_mean": 24.3157894737,
"line_max": 83,
"alpha_frac": 0.5703395703,
"autogenerated": false,
"ratio": 3.2945205479452055,
"config_test... |
__author__ = "Parag Baxi <parag.baxi@gmail.com>"
__copyright__ = "Copyright 2013, Parag Baxi"
__license__ = "Apache License 2.0"
""" Module that contains classes for setting up connections to QualysGuard API
and requesting data from it.
"""
import logging
import time
from collections import defaultdict
import request... | {
"repo_name": "paragbaxi/qualysapi",
"path": "qualysapi/connector.py",
"copies": "1",
"size": "23383",
"license": "apache-2.0",
"hash": -5276500249292499000,
"line_mean": 39.5251299827,
"line_max": 140,
"alpha_frac": 0.5010477697,
"autogenerated": false,
"ratio": 4.586700666928207,
"config_test... |
__author__ = 'Parag Baxi <parag.baxi@gmail.com>'
__license__ = 'Apache License 2.0'
import qualysapi
from lxml import objectify
from lxml.builder import E
# Setup connection to QualysGuard API.
qgc = qualysapi.connect('config.txt')
#
# API v1 call: Scan the New York & Las Vegas asset groups
# The call is our request'... | {
"repo_name": "paragbaxi/qualysapi",
"path": "examples/qualysapi-example.py",
"copies": "1",
"size": "4538",
"license": "apache-2.0",
"hash": -3918017948606881000,
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"line_max": 170,
"alpha_frac": 0.7210224769,
"autogenerated": false,
"ratio": 3.1935256861365238,
"conf... |
__author__ = 'parallels'
import logging
logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.CRITICAL)
import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='direct_logs',
... | {
"repo_name": "bkolowitz/IADSS",
"path": "ml/receive_logs_direct.py",
"copies": "2",
"size": "1050",
"license": "apache-2.0",
"hash": -7729519507138006000,
"line_mean": 25.9487179487,
"line_max": 79,
"alpha_frac": 0.6257142857,
"autogenerated": false,
"ratio": 3.6206896551724137,
"config_test":... |
from math import floor
t = int(raw_input())
for _ in range(t):
a = float(raw_input())
for x in range(12):
y1 = 2.0 * (30*x - a) / 11.0
y2 = 2.0 * (30*x + a) / 11.0
y3 = 2.0 * (30*x - 360 + a) / 11.0
y4 = 2.0 * (30*x + 360 - a) / 11.0
fy1 = round(y1)
fy2 = round(y2... | {
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"path": "src/long/oct15/timeasr.py",
"copies": "2",
"size": "1117",
"license": "mit",
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"autogenerated": false,
"ratio": 2.465783664459161,
"config_test": false,
"has_... |
__author__ = 'parker'
from src.parsers.base_parser import BaseParser
from src.parsers import *
director_matcher_pattern = '(.*?)\t+((.*? \(\S{4,}\)) ?(\(\S+\))? ?(?!\{\{SUSPENDED\}\})(\{(.*?) ?(\(\S+?\))?\})? ?(\{\{SUSPENDED\}\})?)\s*(\(.*\)|EDIT)?\s*(<.*>)?$'
"""
RegExp: /(.*?)\t+((.*? \(\S{4,}\)) ?(\(\S+\))? ?(?!... | {
"repo_name": "parkercoleman/imdb_parser",
"path": "src/parsers/director_parser.py",
"copies": "1",
"size": "3115",
"license": "mit",
"hash": 5958617650509179000,
"line_mean": 41.1081081081,
"line_max": 165,
"alpha_frac": 0.5313001605,
"autogenerated": false,
"ratio": 3.214654282765738,
"config... |
__author__ = 'parker'
from src.settings import *
from base_parser import *
from src.parsers import *
"""
RegExp: /(.*?)\t+((.*? \(\S{4,}\)) ?(\(\S+\))? ?(?!\{\{SUSPENDED\}\})(\{(.*?) ?(\(\S+?\))?\})? ?(\{\{SUSPENDED\}\})?)\s*(\(.*?\))?\s*(\(.*\))?\s*(\[.*\])?\s*(<.*>)?$/gm
pattern: (.*?)\t+((.*? \(\S{4,}\)) ?(\(\S+... | {
"repo_name": "parkercoleman/imdb_parser",
"path": "src/parsers/preformers_parser.py",
"copies": "1",
"size": "4522",
"license": "mit",
"hash": 1325088484517773800,
"line_mean": 44.6767676768,
"line_max": 183,
"alpha_frac": 0.5110570544,
"autogenerated": false,
"ratio": 3.4784615384615383,
"con... |
__author__ = 'PARKJINSANG'
from collections import OrderedDict
import json
class SIMONGeneticAction:
ActionName = ""
ActionFunctionName = ""
ExecutionFunctionName = ""
FitnessFunctionName = ""
def __init__(self, actionName = None, actionFunctionName = None, executionFunctionName = None, fitnessFu... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/objects/SIMONGeneticAction.py",
"copies": "1",
"size": "1534",
"license": "apache-2.0",
"hash": 3999810172757281000,
"line_mean": 33.0888888889,
"line_max": 145,
"alpha_frac": 0.6825293351,
"autogenerated": false,
"ratio": 4.... |
__author__ = 'PARKJINSANG'
from SIMON.algorithms.genetic.SIMONGeneticAlgorithm import SIMONGeneticAlgorithm
#
# genetic algorithm for learning and evaluating
#
#
def run_genetic_algorithm(group, actionPool, propertyPool):
algorithm = SIMONGeneticAlgorithm()
for actionName, actionDnaList in actionPool.items... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/algorithms/SIMONAlgorithmMain.py",
"copies": "1",
"size": "1860",
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"line_mean": 32.2142857143,
"line_max": 83,
"alpha_frac": 0.6758064516,
"autogenerated": false,
"ratio":... |
__author__ = 'PARKJINSANG'
from SIMON.SIMONManager import SIMONManager
from SIMON.objects.SIMONGeneticObject import SIMONGeneticObject
sManager = SIMONManager("Test")
from SIMON import SIMONFunction
@SIMONFunction.Register
def Foo1():
return "Hoo"
@SIMONFunction.Register
def Foo2():
return "Gaa"
@SIM... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/test/test_manager.py",
"copies": "1",
"size": "3945",
"license": "apache-2.0",
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"alpha_frac": 0.721166033,
"autogenerated": false,
"ratio": 3.11611374407... |
__author__ = 'PARKJINSANG'
from collections import OrderedDict
state_map = []
#
# find whether the state is able to be mapped.
#
#
def find_mapped_state(states, mapping_key_list):
for state in states:
correct_flag = 1
args_chk_iterator = 0
if(len(state) != len(mapping_key_list)):
... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/SIMONStatusManager.py",
"copies": "1",
"size": "1794",
"license": "apache-2.0",
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"line_mean": 25.3823529412,
"line_max": 90,
"alpha_frac": 0.6209587514,
"autogenerated": false,
"ratio": 3.691358024... |
__author__ = 'PARKJINSANG'
import os
import csv
def TextReadStream(fileName):
fIn = open(fileName, 'r')
text = fIn.read()
fIn.close()
return text
def TextWriteStream(fileName, text):
fOut = open(fileName, 'w')
fOut.write(text)
fOut.close()
def TextAppendStream(fileName, text):
fOut... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/utils/SIMONFileStream.py",
"copies": "1",
"size": "1241",
"license": "apache-2.0",
"hash": 6533382829593961000,
"line_mean": 24.8541666667,
"line_max": 89,
"alpha_frac": 0.6212731668,
"autogenerated": false,
"ratio": 3.437673... |
__author__ = 'PARKJINSANG'
#
def read_file(path):
"""
Read text from file path
:param path: string of path of file to read
:return: contents inside the file
"""
file = open(path, "r", encoding='ISO-8859-1')
contents = ""
while True:
line = file.readline()
if not line:
... | {
"repo_name": "ParkJinSang/Logle",
"path": "sample/common/fileio.py",
"copies": "2",
"size": "1415",
"license": "mit",
"hash": 8251454989926213000,
"line_mean": 22.5833333333,
"line_max": 60,
"alpha_frac": 0.5823321555,
"autogenerated": false,
"ratio": 3.5286783042394014,
"config_test": false,
... |
__author__ = 'Park'
from collections import OrderedDict
import json
import SIMON
class SIMONObjectSerializer:
ObjectContainer = OrderedDict()
def SaveJSON(self, fileName, jsonData):
with open(fileName, 'w', encoding='utf-8') as outfile:
json.dump(jsonData, outfile)
def LoadJSON(sel... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/utils/SIMONObjectSerializer.py",
"copies": "1",
"size": "1448",
"license": "apache-2.0",
"hash": -2884912471098439000,
"line_mean": 30.0243902439,
"line_max": 106,
"alpha_frac": 0.6761006289,
"autogenerated": false,
"ratio": ... |
__author__ = 'Park'
import sys
from collections import OrderedDict
def preparePoolSpace(group, record_name):
if(not group.__contains__(record_name)):
group[record_name] = []
#
# make the genetic pool of the properties
#
#
def generatePropertyPool(group):
genePropertyPool = OrderedDict()
for ele... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/SIMONIntelligence.py",
"copies": "1",
"size": "1080",
"license": "apache-2.0",
"hash": 7769083637493923000,
"line_mean": 26.6923076923,
"line_max": 84,
"alpha_frac": 0.6990740741,
"autogenerated": false,
"ratio": 4.1379310344... |
__author__ = 'Park'
# (action, state(ordereddict)) 이렇게 튜플로 구성된 리스트인 q table을 만들자.
from collections import OrderedDict
#
# 한개의 Agent 는 한개의 Object에 대해서만 작동하게끔 만들어야 한다.
#
#
class SIMONQLearningAgent:
# qtable에는 보상값을 넣어야한다는 것을 잊지말게.
qtable = OrderedDict()
reward = 0
gamma = 0
# state_for_agent ... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/agents/SIMONQLearningAgent.py",
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"alpha_frac": 0.5999074931,
"autogenerated": false,
"ratio": 3... |
__author__ = 'Park'
from SIMON import SIMONFunction
from SIMON.utils import SIMONObjectSerializer, SIMONFileStream
from collections import OrderedDict
class SIMONUtilitybaseAgent:
def __init__(self):
pass
#
# make decision by utility base
# select the action which is evaluated the b... | {
"repo_name": "ParkJinSang/SIMONFramework",
"path": "src/SIMON_Py/SIMON/agents/SIMONUtilitybaseAgent.py",
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"line_max": 161,
"alpha_frac": 0.4398364486,
"autogenerated": false,
"ratio":... |
import sys
import tornado.ioloop
import tornado.web
import sockjs.tornado
import json
class BaseHandler(tornado.web.RequestHandler):
def post(self):
self.user = self.get_argument('user', None)
count = self.get_argument('count', 0)
try:
data = self.get_argument('data', None)
... | {
"repo_name": "parthz/inmar",
"path": "inmar/services/tornado_server.py",
"copies": "1",
"size": "2815",
"license": "apache-2.0",
"hash": -2639693011112260000,
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"line_max": 79,
"alpha_frac": 0.556660746,
"autogenerated": false,
"ratio": 4.097525473071324,
"config_test... |
from django.conf import settings
from django.http import HttpResponseRedirect, HttpResponse
BY_PASS = ['/o/token/', '/api/v1/']
def simple_middleware(get_response):
# One-time configuration and initialization.
def middleware(request):
# Code to be executed for each request before
# the view ... | {
"repo_name": "parthz/inmar",
"path": "inmar/authentication/auth_middleware.py",
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__author__ = 'parth'
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, String, ForeignKey, BigInteger, Integer
from sqlalchemy.orm import relationship
Base = declarative_base()
# Model representing number of tweets for
# particular user.
# Note: This is more efficient than stori... | {
"repo_name": "ParthDesai/tweet_stats",
"path": "models.py",
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"license": "mit",
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"autogenerated": false,
"ratio": 3.5478841870824054,
"config_test": false,
"has_no... |
__author__ = 'parth'
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
from sqlalchemy.orm import sessionmaker
import models
import json
import config
from sqlalchemy import create_engine
engine = create_engine(config.database_uri)
models.Base.metadata.create_all(... | {
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__author__ = 'pasan fernando'
######################################################################################################################
import re
import networkx as nx
import collections
###### Reading the Vertebrate Taxonomy ontology (VTO) file to store relationships
p = open('vtonewfinal.owl', 'r')
G... | {
"repo_name": "pasanfernando/VTO_to_opentree_pipeline",
"path": "2.matrixpreprocessor/matrixpreprocessor.py",
"copies": "1",
"size": "6245",
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"line_mean": 31.7015706806,
"line_max": 119,
"alpha_frac": 0.5258606886,
"autogenerated": false,
"ratio": 3.6... |
#################################################################################################
pec = []
pelvic =[]
''' To run this code, taxa with inferred presence states for pectoral fin (pectoralinferred.txt) and pelvic fin (pelvicinferred.txt)
must be provided as separate lists. These lists are generated fro... | {
"repo_name": "pasanfernando/VTO_to_opentree_pipeline",
"path": "4.inferredprecensereplace/inferredpresencereplace.py",
"copies": "1",
"size": "3472",
"license": "mit",
"hash": -7729623343212063000,
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"autogenerated": false,
"ratio": 3... |
__author__ = 'pasan fernando'
################################################################################
import re
import collections
par ={}
paired ={}
both =[]
pec =[]
pel =[]
presence=[]
missing =[]
# opening the input matrix with open tree names
da = open('finalopentree_matrix_onlydata.txt', 'r')
for line... | {
"repo_name": "pasanfernando/VTO_to_opentree_pipeline",
"path": "paired_fin_analyzer/paired_fin_analyzer.py",
"copies": "1",
"size": "3503",
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"ratio": 2.... |
__author__ = 'pascal'
import mysql.connector
from datetime import datetime
import json
class LSFEventDBAccess:
def __init__(self):
credentials = json.load(open('db_credentials_MYSQL.json', 'r'))
self.cnx = mysql.connector.connect(**credentials)
def add_events(self, events):
cursor = ... | {
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__author__ = 'pascal'
import psycopg2
from datetime import datetime
import json
class LSFEventDBAccess:
chunk_size = 500
def __init__(self):
credentials = json.load(open('db_credentials_PSQL.json', 'r'))
self.cnx = psycopg2.connect(**credentials)
def add_events_old(self, events):
... | {
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"path": "LSFEventDBAccess_PSQL.py",
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__author__ = 'pascal'
import time
class LSFLogging:
@staticmethod
def log_event(event, file = 'log.txt'):
with open(file, 'a') as f:
f.write(LSFLogging.event_to_string(event).encode('utf8') + '\n')
@staticmethod
def event_to_string(event):
begin = ''
end = ''
... | {
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__author__ = 'pascal'
class LSFTextUtils:
@staticmethod
def remove_spaces(str):
result = ''
for c in str:
if c != ' ':
result += c
return result
@staticmethod
def remove_new_line_and_tab(str):
name = ''
for c in str:
if ... | {
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__author__ = 'patelm'
import logging
class Registrar():
"""Responsible for registering/deregistering backends and informing the Driver with the latest information
Uses the datastore to keep track of known backends
Call the driver with the latest known state of the backends
"""
datastore... | {
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"path": "elasticd/registrar.py",
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import glob
import gzip
import re
import string
import math
import sys
from math import log
from collections import defaultdict
if len(sys.argv)<2:
print "Usage: python comp.py <input-path>"
exit()
from sys import argv
filename1= sys.argv[1]
filename2= sys.argv[2]
txt2 = open(filename2)
for l2 in t... | {
"repo_name": "semantic-group1/twitter-lda",
"path": "Python Scripts/CDS.py",
"copies": "1",
"size": "1123",
"license": "apache-2.0",
"hash": -8102842145023156000,
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"line_max": 123,
"alpha_frac": 0.6874443455,
"autogenerated": false,
"ratio": 2.686602870813397,
"confi... |
import glob
import gzip
import re
import string
import math
import sys
from math import log
from collections import defaultdict
if len(sys.argv)<2:
print "Usage: python comp.py <input-path>"
exit()
results = sys.argv[1]
results2 = sys.argv[2]
path = results+"/*"
files=glob.glob(path)
path2 ... | {
"repo_name": "semantic-group1/twitter-lda",
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__author__ = 'pather'
# file = Lab2.py
# programmer = Keith Murphy
# date created = 1-15-2014
# last mod = 1-23-2014
#
# Hello Mark,
# This is the first stab at the lab2 assignment. I have everything
# working as I designed it in regrades to the calculations but I have noticed I'm getting a message
# stating 'inspectio... | {
"repo_name": "nomad-mystic/nomadmystic",
"path": "fileSystem/school-projects/development/softwaredesignandcomputerlogiccis122/cis122lab2/python/lab2.1.py",
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"hash": -405803161694742660,
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__author__ = 'pather'
import urllib.request
import re
africa_url_response = urllib.request.urlopen('http://worldpopulationreview.com/continents/africa-population/')
africa_url_html = africa_url_response.read()
africa_url_text = africa_url_html.decode('UTF-8')
africa_current_population = re.search('<span>([^<]*)', afr... | {
"repo_name": "nomad-mystic/nomadmystic",
"path": "fileSystem/school-projects/development/softwaredesignandcomputerlogiccis122/cis122lab3/python/testresponse.py",
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"size": "1294",
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"hash": 5214536106706644000,
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__author__ = 'pather'
# Programmer = Keith Murphy
# File = lab5.py
# Date Created 3-5-2015
# Last Mod = 3-10-2015
# Hello Mark, This is Lab 5 take #2 which is way less ambitious as the last. :) Thanks for the extra point on the last
# Lab I appreciate that. I worked many a hour to complete that Lab. I... | {
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"path": "fileSystem/school-projects/development/softwaredesignandcomputerlogiccis122/cis122lab5/python/lab5.py",
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__author__ = 'Pat McClernan and Dan Weggman'
#input
#0 for rock
#1 for paper
#2 for scissors
# past move is array of numbers
# our move followed by their move
#Our strategy is to look at all past moves
#In a large number of games, you would expect
# each move to be seen an even amount of times
#So our strategy is ... | {
"repo_name": "mccler89/RPS_Player",
"path": "my_rps_player.py",
"copies": "1",
"size": "1272",
"license": "apache-2.0",
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__author__ = 'Pat McClernan and Dan Wegmann'
import Player
import Message
# input
#0 for rock
#1 for paper
#2 for scissors
# past move is array of numbers
# our move followed by their move
#Our strategy is to look at all past moves
#In a large number of games, you would expect
# each move to be seen an even amount ... | {
"repo_name": "geebzter/game-framework",
"path": "DWPMPlayer.py",
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"size": "3899",
"license": "apache-2.0",
"hash": -1594531504893314600,
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"alpha_frac": 0.5839958964,
"autogenerated": false,
"ratio": 3.942366026289181,
"config_test": fal... |
__author__ = 'pat'
import re
import sys
import getopt
import pickle
from collections import defaultdict
###
# Takes a 3 col mtx file and maps string entries to int id's
# use -v to export string-int maps
###
def process_seq(seq, token_counter, replace_digits, chars, double_vocab):
# normalize digits except in $... | {
"repo_name": "patverga/torch-relation-extraction",
"path": "bin/process/BothEncoderStringFile2IntFile.py",
"copies": "1",
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__author__ = 'pat'
import re
import sys
import getopt
import pickle
from collections import defaultdict
###
# Takes a 4 col mtx file and maps string entries to int id's
# use -v to export string-int maps
###
def process_line(chars, ent_map, ep_map, line, rel_map, token_counter, double_vocab, replace_digits):
e1... | {
"repo_name": "patverga/torch-relation-extraction",
"path": "bin/process/StringFile2IntFile.py",
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"ratio": 3.40126459143968... |
__author__ = 'Patricio Cerda, Joaquin Moreno y Pedro Zepeda'
import os
from time import time
#Pseudocodigo de lo que se debe hacer para optimizar el algoritmo base:
#
#Unit propagation
#If a clause is a unit clause, i.e. it contains only a single unassigned literal,
#this clause can only be satisfied by assigning the... | {
"repo_name": "pcerdam/IMT1001",
"path": "Ignore/DPLL P1.py",
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"size": "5106",
"license": "apache-2.0",
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"ratio": 3.161609907120743,
"config_test": false,
... |
__author__ = 'Patricio Cerda, Joaquin Moreno y Pedro Zepeda'
import os
import copy
import random
from time import time
# Correcciones finales mediante testeo intensivo.
### DPLL BASICO ###
def DPLL(alpha, recorrido):
global eleccion, show
if alpha == '':
recorrido.sort()
if show: print('La... | {
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"path": "DPLL_P1.py",
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"autogenerated": false,
"ratio": 3.4276052874269904,
"config_test": false,
"ha... |
__author__ = 'Patricio Cerda, Joaquin Moreno y Pedro Zepeda'
import os
import copy
import random
from time import time
# Para el base, mostrar v1 sin funcion de simplificacion (y sin el caso base de clausula unitaria).
# Eso es fuerza bruta. Luego el DPLL1, luego el DPLL2.
### DPLL MEJORADO ###
def tautologia(alph... | {
"repo_name": "pcerdam/IMT1001",
"path": "DPLL_P2.py",
"copies": "1",
"size": "13113",
"license": "apache-2.0",
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"autogenerated": false,
"ratio": 3.406858924395947,
"config_test": false,
"has... |
import os
import sys
import platform
import re
import sublime
import sublime_plugin
version = "1.5.0"
def haveExt(_file,_extentions):
rta = False
if isinstance(_extentions, list):
for ext in _extentions:
if os.path.splitext(_file)[1] == ext:
rta = True
b... | {
"repo_name": "patriciogonzalezvivo/sublime-glslViewer",
"path": "glslViewer.py",
"copies": "1",
"size": "3873",
"license": "mit",
"hash": -3588527769841126000,
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"autogenerated": false,
"ratio": 3.8691308691308692,
"config_... |
import matplotlib.pyplot as plt
import numpy as np
import environment
import random
class Stateless_SRA():
def __init__(self):
self.points = 0
def loc(self, env):
curIndex = env.Location.index(1)
if curIndex == 0:
return 'A'
elif curIndex == 1:
return ... | {
"repo_name": "pblanc5/Artificial-Intelligence-",
"path": "Homework1/stateless_simple_reflex_agent.py",
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import matplotlib.pyplot as plt
import numpy as np
import environment
import random
class Stateful_SRA():
def __init__(self):
self.points = 0
self.mem = [0,0,0]
def loc(self, env):
curIndex = env.Location.index(1)
if curIndex == 0:
return 'A'
elif curIndex... | {
"repo_name": "pblanc5/Artificial-Intelligence-",
"path": "Homework1/stateful_simple_reflex_agent.py",
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"autogenerated": false,
"ratio": 3.44352617079889... |
import matplotlib.pyplot as plt
import numpy as np
import environment
import random
class RSRA():
def __init__(self, env):
self.points = 0
self.mem = [1 if x == 'Clean' else 0 for x in env.State]
def status(self, env):
curIndex = env.Location.index(1)
state = env.State[curI... | {
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"path": "Homework1/random_simple_reflex_agent.py",
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"line_max": 91,
"alpha_frac": 0.5488652154,
"autogenerated": false,
"ratio": 3.4488817891... |
import matplotlib.pyplot as plt
import numpy as np
import environment
import random
class OSRA():
def __init__(self, env):
self.points = 0
self.mem = [1 if x == 'Clean' else 0 for x in env.State]
def loc(self, env):
curIndex = env.Location.index(1)
if curIndex == 0:
... | {
"repo_name": "pblanc5/Artificial-Intelligence-",
"path": "Homework1/omni_simple_reflex_agent.py",
"copies": "1",
"size": "2404",
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"hash": 3138571776187081000,
"line_mean": 24.8494623656,
"line_max": 98,
"alpha_frac": 0.5386855241,
"autogenerated": false,
"ratio": 3.4490674318507... |
import smbus
import time
class LiquidCrystal_I2C:
# commands
_LCD_CLEARDISPLAY = 0x01
_LCD_RETURNHOME = 0x02
_LCD_ENTRYMODESET = 0x04
_LCD_DISPLAYCONTROL = 0x08
_LCD_CURSORSHIFT = 0x10
_LCD_FUNCTIONSET = 0x20
_LCD_SETCGRAMADDR = 0x40
_LCD_SETDDRAMADDR = 0x80
# flags for displa... | {
"repo_name": "pl31/python-liquidcrystal_i2c",
"path": "liquidcrystal_i2c/liquidcrystal_i2c.py",
"copies": "1",
"size": "8541",
"license": "mit",
"hash": -2065582460568999700,
"line_mean": 33.164,
"line_max": 99,
"alpha_frac": 0.6301369863,
"autogenerated": false,
"ratio": 3.483278955954323,
"c... |
__author__ = 'patrickemami,tylorchilders'
import sys,os,csv,numpy as np
import random
CONFIG_DIR = 'config'
DATA_STORE = 'iris.data.txt'#'wine.data.txt'
NUMBER_OF_ATTRIBUTES = 4#13
NUMBER_OF_CLASSES = 3
CLASS_1 = 'Iris-setosa'#'1'
CLASS_2 = 'Iris-versicolor'#'2'
CLASS_3 = 'Iris-virginica'#'3'
CLASS_POS = -1#0
TRA... | {
"repo_name": "bchilders/Numerical-Analysis-Semester-Project",
"path": "src/multi_class_linsqu.py",
"copies": "1",
"size": "4071",
"license": "mit",
"hash": -5043926773201726000,
"line_mean": 25.1025641026,
"line_max": 97,
"alpha_frac": 0.5485138787,
"autogenerated": false,
"ratio": 3.08642911296... |
__author__ = 'patrickemami,tylorchilders'
import sys,os,csv,numpy as np
import random
CONFIG_DIR = 'config'
DATA_STORE = 'wine.data.txt'#'iris.data.txt'
NUMBER_OF_ATTRIBUTES = 13#4
CLASS_1 = '1'#'Iris-setosa'
CLASS_n1 = '2'#'Iris-versicolor'
CLASS_NULL = '3'#'Iris-virginica'
CLASS_POS = 0#-1
TRAINING_SET = 10
di... | {
"repo_name": "bchilders/Numerical-Analysis-Semester-Project",
"path": "src/linear_least_squares.py",
"copies": "1",
"size": "4966",
"license": "mit",
"hash": -8780808633642031000,
"line_mean": 25.420212766,
"line_max": 122,
"alpha_frac": 0.548530004,
"autogenerated": false,
"ratio": 3.1213073538... |
__author__ = 'Patrick Liu and Olga Botvinnik'
import pandas as pd
import string
import glob
import numpy as np
import sys
class Collector(object):
def __init__(self, base_name=None):
self.base_name = base_name
self.tool_name = ''
self.version = 0
return
def parse(self, file_pat... | {
"repo_name": "YeoLab/gscripts",
"path": "gscripts/output_parsers/rna_star_collector.py",
"copies": "1",
"size": "10711",
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"ratio": 3.7688247712878256,
... |
__author__ = 'Patrick'
import pygame
from pygame.locals import K_w, K_a, K_s, K_d
from math import cos, sin, atan2
class Player(object):
"""Handle player attributes and weapons fire."""
def __init__(self, area, surface):
"""Return Player"""
# References
self.surface = surface
... | {
"repo_name": "pathunstrom/shmup-survival-game",
"path": "player.py",
"copies": "1",
"size": "3653",
"license": "mit",
"hash": -5143784777668110000,
"line_mean": 28.4677419355,
"line_max": 78,
"alpha_frac": 0.5184779633,
"autogenerated": false,
"ratio": 3.4856870229007635,
"config_test": false,... |
__author__ = 'Patrick'
import pygame
from random import randint, choice
from pygame import transform
from pygame.locals import *
from config import *
class Body(pygame.sprite.Sprite):
"""Parent class for Head and Body"""
def __init__(self, x, y, dictionary):
super(Body, self).__init__()
self.... | {
"repo_name": "pathunstrom/candyjam-snake",
"path": "snake.py",
"copies": "1",
"size": "7012",
"license": "mit",
"hash": -5292842361696399000,
"line_mean": 35.1494845361,
"line_max": 89,
"alpha_frac": 0.5223901882,
"autogenerated": false,
"ratio": 3.5593908629441624,
"config_test": false,
"ha... |
__author__ = 'Patrick'
import pygame
import random
class Mobile(object):
def __init__(self, (width, height), (red, green, blue), surface):
"""Return mobile"""
self.rect = pygame.Rect(0, 0, width, height)
self.color = (red, green, blue)
self.xy = [float(self.rect.centerx), float(s... | {
"repo_name": "pathunstrom/shmup-survival-game",
"path": "enemy.py",
"copies": "1",
"size": "2005",
"license": "mit",
"hash": 4445828000814805000,
"line_mean": 27.6571428571,
"line_max": 78,
"alpha_frac": 0.5396508728,
"autogenerated": false,
"ratio": 3.7830188679245285,
"config_test": false,
... |
__author__ = 'Patrick'
import pygame
import sys
from pygame.locals import *
from pygame import transform
import snake
from config import *
pygame.init()
display = pygame.display.set_mode((square_size * spaces, square_size * spaces))
candy_images = [{'image': pygame.image.load('./images/bean_purple.png').convert(), ... | {
"repo_name": "pathunstrom/candyjam-snake",
"path": "game.py",
"copies": "1",
"size": "4324",
"license": "mit",
"hash": -4178511042520368600,
"line_mean": 50.4880952381,
"line_max": 122,
"alpha_frac": 0.564986124,
"autogenerated": false,
"ratio": 3.4619695756605284,
"config_test": false,
"has... |
# A custom scheduler for bitbake which runs rm_work tasks more
# aggressively than the default schedule chosen by rm_work.
# To use it, add to local.conf:
# BB_SCHEDULERS = "rmwork.RunQueueSchedulerRmWork"
# BB_SCHEDULER = "rmwork"
# Then run:
# PYTHONPATH=<path to the directory with rmwork.py> bitbake ...
#
# O... | {
"repo_name": "01org/meta-intel-iot-security",
"path": "scripts/rmwork.py",
"copies": "1",
"size": "9413",
"license": "mit",
"hash": 6370516093015018000,
"line_mean": 49.8810810811,
"line_max": 102,
"alpha_frac": 0.5765430787,
"autogenerated": false,
"ratio": 4.217293906810036,
"config_test": f... |
__author__ = 'Patrick'
import hashlib
import urllib
from xml.dom import minidom
import yweather
def windrichtung(winddir):
if winddir <= 23:
winddir = 'N'
elif winddir <= 67:
winddir = 'NE'
elif winddir <= 113:
winddir = 'E'
elif winddir <= 158:
winddir... | {
"repo_name": "PatteWi/pythonwetter",
"path": "pythonwetter/functions.py",
"copies": "1",
"size": "1848",
"license": "mit",
"hash": 8212389935328958000,
"line_mean": 30.4561403509,
"line_max": 117,
"alpha_frac": 0.6163419913,
"autogenerated": false,
"ratio": 3.019607843137255,
"config_test": fa... |
__author__ = 'Patrick'
import hashlib
import urllib
import yweather
from xml.dom import minidom
def windrichtung(winddir):
if winddir <= 23:
winddir = 'N'
elif winddir <= 67:
winddir = 'NE'
elif winddir <= 113:
winddir = 'E'
elif winddir <= 158:
winddir = '... | {
"repo_name": "Benxxen/pythonwetter",
"path": "pythonwetter/functions.py",
"copies": "1",
"size": "1546",
"license": "mit",
"hash": 2044625967890618600,
"line_mean": 28.3529411765,
"line_max": 77,
"alpha_frac": 0.6151358344,
"autogenerated": false,
"ratio": 3.20746887966805,
"config_test": fals... |
__author__ = 'Patrick Sumby and Ben Roeder'
import os
import sys
import argparse
import subprocess
import hashlib
import time
import re
from subprocess import CalledProcessError
from threading import Thread
from queue import Queue
winPath = re.compile('^(\w)\:[\\/](.*)$', re.IGNORECASE)
default_num_threads = 3
defau... | {
"repo_name": "sohonetlabs/scp-chunk",
"path": "scp-chunk.py",
"copies": "1",
"size": "20797",
"license": "mit",
"hash": 5119242318954149000,
"line_mean": 36.3375224417,
"line_max": 103,
"alpha_frac": 0.4699235467,
"autogenerated": false,
"ratio": 4.039036706156535,
"config_test": false,
"has... |
__author__ = 'Patrick Thunstrom'
import pygame
from pygame.locals import *
import sys
import player
import enemy
FPS = []
class Game(object):
"""Read the pygame event queue and call necessary methods."""
def __init__(self, main_display):
"""Return Game"""
self.display = main_display
... | {
"repo_name": "pathunstrom/shmup-survival-game",
"path": "game.py",
"copies": "1",
"size": "1639",
"license": "mit",
"hash": 7099543694261817000,
"line_mean": 28.2678571429,
"line_max": 78,
"alpha_frac": 0.5747406955,
"autogenerated": false,
"ratio": 3.6914414414414414,
"config_test": false,
... |
__author__ = 'Patrizio Tufarolo'
__email__ = 'patrizio.tufarolo@studenti.unimi.it'
'''
Project: testagent
Author: Patrizio Tufarolo <patrizio.tufarolo@studenti.unimi.it>
Date: 20/04/15
'''
import json
import logging
from datetime import datetime
from tornado.escape import json_decode
from tornado.web import HTTPErro... | {
"repo_name": "patriziotufarolo/testagent",
"path": "testagent/services/rest/tasks.py",
"copies": "1",
"size": "11719",
"license": "bsd-3-clause",
"hash": 7224161677205350000,
"line_mean": 25.3370786517,
"line_max": 76,
"alpha_frac": 0.6016724977,
"autogenerated": false,
"ratio": 3.57613671040585... |
__author__ = 'patty'
import sys
import os
import rospy
import numpy as np
import cv2
import pcl
import sensor_msgs.point_cloud2 as pc2
from sensor_msgs.msg import Image, PointCloud2
from cv_bridge import CvBridge
from can_msg.msg import CANPacket
from nmea_msgs.msg import Sentence
save_path = None
camera_img_0 = None
... | {
"repo_name": "ovpiNU/ros-dd-extraction-tool",
"path": "driving_data/src/driving_data_tools/scripts/rosbag_data_extract.py",
"copies": "1",
"size": "4699",
"license": "mit",
"hash": 2264226951709263000,
"line_mean": 30.3266666667,
"line_max": 117,
"alpha_frac": 0.6358799745,
"autogenerated": false,... |
__author__ = 'paulbaker'
'''
wingif.py aka: My Lazy Meme Getter
'''
import sys
from os import path
import os
import requests
from lxml import html
import re
def load_page(page_url):
print('Parsing ' + page_url)
r = requests.get(page_url)
tree = html.fromstring(r.text)
image_links = tree.xpath('//a[... | {
"repo_name": "TheWookie/python-experiments",
"path": "web-scraping-tools/wingif.py",
"copies": "2",
"size": "3252",
"license": "mit",
"hash": -8079336840389089000,
"line_mean": 35.1444444444,
"line_max": 111,
"alpha_frac": 0.5731857319,
"autogenerated": false,
"ratio": 3.394572025052192,
"conf... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["geebzter"]
# imports
from ClientPackage import Player
class RPSPlayerExample(Player.Player):
"""
Example of how to implement an RPS player within the framework
Attributes:
opponents_moves: the list of moves that the... | {
"repo_name": "PaulieC/rls-c",
"path": "AvailablePlayers/RPSPlayerExample.py",
"copies": "2",
"size": "3773",
"license": "apache-2.0",
"hash": -8142436207823327000,
"line_mean": 32.3982300885,
"line_max": 108,
"alpha_frac": 0.5854757487,
"autogenerated": false,
"ratio": 4.061356297093649,
"conf... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Greg Richards"]
# imports
from ServerPackage import Game
class RockPaperScissors(Game.Game):
""" this class simulates two players playing a game of rock, paper, scissors """
def __init__(self):
self.name = "Rock-Paper-S... | {
"repo_name": "PaulieC/rls-c",
"path": "AvailableGames/RockPaperScissors.py",
"copies": "2",
"size": "1888",
"license": "apache-2.0",
"hash": 1200903827603793200,
"line_mean": 34.6226415094,
"line_max": 84,
"alpha_frac": 0.5656779661,
"autogenerated": false,
"ratio": 3.8141414141414143,
"config... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Joe Kvedaras, Collin Day"]
# imports
from bjsonrpc.handlers import BaseHandler
from ServerPackage.TournamentData import *
class TournamentService(BaseHandler):
"""
Supports the connection of players to the tournament.get_tournam... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ServerPackage/TournamentService.py",
"copies": "2",
"size": "15814",
"license": "apache-2.0",
"hash": -1810723790929617200,
"line_mean": 37.5731707317,
"line_max": 120,
"alpha_frac": 0.5789174149,
"autogenerated": false,
"ratio": 4.515705311250714... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Samantha Holloway, Joe Pannizzo"]
# imports
class Player():
"""
Class Player is used as the top level class abstraction to play in a Tournament
It specifies what a concrete Player must do to be a part of the Tournament
E... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ClientPackage/Player.py",
"copies": "2",
"size": "2167",
"license": "apache-2.0",
"hash": 4163961031604572700,
"line_mean": 25.7530864198,
"line_max": 83,
"alpha_frac": 0.5892939548,
"autogenerated": false,
"ratio": 4.035381750465549,
"config_te... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Tony"]
# imports
from ServerPackage.TournamentService import *
from AvailablePlayers.RPSPlayerExample import *
from AvailableGames.RockPaperScissors import *
from AvailablePlayers.BEPCPlayer import *
class RPSDriver(TournamentService):
... | {
"repo_name": "PaulieC/rls-c",
"path": "ServerPackage/RPSDriver.py",
"copies": "2",
"size": "1174",
"license": "apache-2.0",
"hash": 3306292488027245600,
"line_mean": 28.375,
"line_max": 112,
"alpha_frac": 0.6746166951,
"autogenerated": false,
"ratio": 3.738853503184713,
"config_test": false,
... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Victor M"]
# imports
import random
from ClientPackage import Player
class RPSPlayerSwitcharoo(Player.Player):
"""
Rock paper scissors player
Attributes:
strategy: An object designed to calculate/manipulate this pla... | {
"repo_name": "PaulieC/rls-c",
"path": "ServerPackage/RPSPlayerSwitcharoo.py",
"copies": "2",
"size": "6830",
"license": "apache-2.0",
"hash": -3423557783649712000,
"line_mean": 30.7720930233,
"line_max": 119,
"alpha_frac": 0.5960468521,
"autogenerated": false,
"ratio": 4.149453219927096,
"conf... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ServerPackage.Tournament import *
import random
class SingleElimination(Tournament):
"""
SingleElimination Tournament Type:
Every player plays an initial match, but only winners move on.
... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "AvailableTournaments/SingleElimination.py",
"copies": "2",
"size": "2861",
"license": "apache-2.0",
"hash": -8907930176233174000,
"line_mean": 33.0714285714,
"line_max": 108,
"alpha_frac": 0.5948968892,
"autogenerated": false,
"ratio": 3.929945054... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ServerPackage.Tournament import *
class AllPlayAll(Tournament):
""" AllPlayAll Tournament Type, every player is in a match with every other player """
def __init__(self):
"""
Ini... | {
"repo_name": "PaulieC/rls-c",
"path": "AvailableTournaments/AllPlayAll.py",
"copies": "2",
"size": "1192",
"license": "apache-2.0",
"hash": 7366517243051794000,
"line_mean": 30.3684210526,
"line_max": 90,
"alpha_frac": 0.5687919463,
"autogenerated": false,
"ratio": 3.808306709265176,
"config_t... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ClientPackage import Player
import random
class TestPlayer1(Player.Player):
"""
This is Bill and Paul's implemented
Player class
Attributes:
past_moves: a list of the past moves... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "AvailablePlayers/TestPlayer1.py",
"copies": "2",
"size": "10073",
"license": "apache-2.0",
"hash": 6765183741726117000,
"line_mean": 31.6019417476,
"line_max": 91,
"alpha_frac": 0.5764916112,
"autogenerated": false,
"ratio": 4.232352941176471,
"... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ClientPackage import Player
import random
class TestPlayer2(Player.Player):
"""
This is Bill and Paul's implemented
Player class
Attributes:
past_moves: a list of the past moves... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "AvailablePlayers/TestPlayer2.py",
"copies": "2",
"size": "10073",
"license": "apache-2.0",
"hash": -4171965089358833000,
"line_mean": 31.6019417476,
"line_max": 91,
"alpha_frac": 0.5764916112,
"autogenerated": false,
"ratio": 4.232352941176471,
... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ClientPackage import Player
class BEPCPlayer(Player.Player):
"""
This is Bill and Paul's implemented
Player class
Attributes:
past_moves: a list of the past moves performed by t... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "AvailablePlayers/BEPCPlayer.py",
"copies": "2",
"size": "9805",
"license": "apache-2.0",
"hash": 7087517402122155000,
"line_mean": 31.7959866221,
"line_max": 91,
"alpha_frac": 0.5767465579,
"autogenerated": false,
"ratio": 4.235421166306695,
"co... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint1"
__credits__ = ["William Ezekiel"]
# imports
from ClientPackage import Player
class GMPlayer(Player.Player):
"""
Player class
Attributes:
past_moves: a list of the past moves performed by this player for the current match
... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "AvailablePlayers/GMPlayer.py",
"copies": "2",
"size": "9944",
"license": "apache-2.0",
"hash": 4561989192522390500,
"line_mean": 31.8217821782,
"line_max": 91,
"alpha_frac": 0.5761263073,
"autogenerated": false,
"ratio": 4.240511727078891,
"conf... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint2"
# imports
import bjsonrpc
from ServerPackage.TournamentService import *
from ServerPackage.ServerIPSearch import *
class TournamentServer():
"""
TODO
"""
# TODO needs details
def __init__(self):
"""
:return:
... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ServerPackage/TournamentServer.py",
"copies": "2",
"size": "2330",
"license": "apache-2.0",
"hash": 2940155826409968000,
"line_mean": 24.064516129,
"line_max": 97,
"alpha_frac": 0.5017167382,
"autogenerated": false,
"ratio": 4.755102040816326,
"... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint2"
"""
This file will be used to hold instances of the current tournament and player information.
This is a companion to the TournamentService as data doesn't stay persistent without an instance
for the variable
"""
import importlib
import operator
__autho... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ServerPackage/TournamentData.py",
"copies": "2",
"size": "7643",
"license": "apache-2.0",
"hash": 3836789982858637000,
"line_mean": 30.2,
"line_max": 107,
"alpha_frac": 0.6021195865,
"autogenerated": false,
"ratio": 4.305915492957746,
"config_te... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint3"
class MatchData:
"""
Called by TournamentData to track individual matches.
"""
def __init__(self, player1, player2, num_rounds):
"""
:param player1: str
:param player2: str
:param num_rounds: int
"... | {
"repo_name": "PaulieC/rls-c",
"path": "ServerPackage/MatchData.py",
"copies": "2",
"size": "7256",
"license": "apache-2.0",
"hash": 2347830198506747400,
"line_mean": 31.9863636364,
"line_max": 99,
"alpha_frac": 0.5632579934,
"autogenerated": false,
"ratio": 3.882289994649545,
"config_test": fa... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
__credits__ = ["Alex Ciaramella, Greg Suner"]
# imports
import time
class Tournament():
"""
Abstract Tournament Class
Tournament is observable while players are observers
Attributes:
playerList: the array that holds the Player ... | {
"repo_name": "PaulieC/rls-c",
"path": "ServerPackage/Tournament.py",
"copies": "2",
"size": "5758",
"license": "apache-2.0",
"hash": -3454944787571224600,
"line_mean": 28.6804123711,
"line_max": 81,
"alpha_frac": 0.5797151789,
"autogenerated": false,
"ratio": 4.329323308270677,
"config_test": ... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
def unique_match_sort(match_list):
temp_list = match_list
return_list = []
while temp_list:
return_list.append(temp_list.pop(0))
return_list.append(temp_list.pop(len(temp_list) - 1))
return return_list
def sort(sorted_lis... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ServerPackage/KoalaSort.py",
"copies": "2",
"size": "2479",
"license": "apache-2.0",
"hash": 2994264268648486000,
"line_mean": 27.8372093023,
"line_max": 89,
"alpha_frac": 0.4711577249,
"autogenerated": false,
"ratio": 3.023170731707317,
"config... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
from ClientPackage.PlayerClient import *
class GameMasterClient(PlayerClient):
"""
An advanced client class to allow the GameController to handle the server in ways that a
regular client cannot. Used to changed tournament type, max players,... | {
"repo_name": "PaulieC/rls-c",
"path": "ClientPackage/GameMasterClient.py",
"copies": "2",
"size": "10075",
"license": "apache-2.0",
"hash": 3425758920184486000,
"line_mean": 40.1224489796,
"line_max": 120,
"alpha_frac": 0.5901736973,
"autogenerated": false,
"ratio": 4.548532731376975,
"config_... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
from Tkinter import *
import tkMessageBox
from ClientPackage.GameMasterClient import *
from AvailablePlayers.GMPlayer import *
my_player = GMPlayer()
gmc = GameMasterClient(my_player)
reg_status = "Closed"
num_connections = 0
num_registered = 0
networ... | {
"repo_name": "PaulieC/rls-c",
"path": "ClientPackage/GameMasterGUI.py",
"copies": "2",
"size": "8691",
"license": "apache-2.0",
"hash": -6189318592045545000,
"line_mean": 34.6229508197,
"line_max": 119,
"alpha_frac": 0.6610286503,
"autogenerated": false,
"ratio": 3.462549800796813,
"config_tes... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
from Tkinter import *
import tkMessageBox
from PlayerClient import *
from AvailablePlayers.TestPlayer1 import *
import importlib
player = TestPlayer1()
client = PlayerClient(player)
def list_files(path):
"""
Lists files inside the given path
... | {
"repo_name": "PaulieC/rls-c",
"path": "ClientPackage/PlayerGUI.py",
"copies": "2",
"size": "7109",
"license": "apache-2.0",
"hash": 2283258533357711000,
"line_mean": 33.014354067,
"line_max": 120,
"alpha_frac": 0.656491771,
"autogenerated": false,
"ratio": 3.558058058058058,
"config_test": fal... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
from Tkinter import *
import tkMessageBox
from ServerPackage.TournamentServer import *
def set_ip():
"""
Function to allow the user to set the ip for the running server.
This new ip is then displayed in the respective GUI label.
"""
... | {
"repo_name": "PaulieC/sprint5-Council",
"path": "ServerPackage/ServerGUI.py",
"copies": "2",
"size": "5235",
"license": "apache-2.0",
"hash": -1646541841273826300,
"line_mean": 37.2189781022,
"line_max": 105,
"alpha_frac": 0.6361031519,
"autogenerated": false,
"ratio": 3.7934782608695654,
"con... |
__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
# imports
import time
import os
import importlib
import bjsonrpc
from ClientPackage.PlayerService import *
class PlayerClient():
"""
Handles all the request creation
"""
def __init__(self, player):
"""
:param player: The... | {
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__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
import socket
import fcntl
import struct
class NetworkToolbox:
def __init__(self):
pass
def get_ip_address(self, ifname):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
return socket.inet_ntoa(fcntl.ioctl(
... | {
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__author__ = "Paul Council, Anand Patel"
__version__ = "sprint5"
"""
This class will act like the game administrator. It should be connected by the person handling the
tournament. This 'player' will manage the current tournament, game, number of players, etc...
"""
from ClientPackage.GameMasterClient import *
from Av... | {
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__author__ = "Paul Council, Joseph Gonzoph, Anand Patel"
__version__ = "sprint1"
__credits__ = ["Alex Ciaramella, Greg Suner"]
# imports
from ServerPackage import Display, Message, Observable
import time
#
class Tournament(Observable.Observable):
"""
Abstract Tournament Class
Tournament is observable wh... | {
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