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# Enthought library imports.
from traits.api import Instance, Enum
from traitsui.api import View, Group, Item
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineInfo
###############################################################... | {
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__author__ = 'Varun Nayyar'
__doc__ = \
"""
This file is to be modified by users to provide their own Voice Activity Detection (VAD) functions.
I.e. not all frames will have speech present and it is common to remove these frames in many situations
These functions can be used in most base functions by p... | {
"repo_name": "nayyarv/python_speech_features",
"path": "VoiceActivityDetection.py",
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"license": "mit",
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__author__ = 'Varun Nayyar'
import numpy as np
from matplotlib import pyplot as plt
def main():
pass
def adaptive():
if (i-1)%50 ==0:
#Update Step sizes
n = i/50
delta_n = min(0.01, 1/np.sqrt(n))
exp_deltan = np.exp(delta_n)
#acceptance probabilities
meanAccPr... | {
"repo_name": "nayyarv/MonteGMM",
"path": "BayesGMM/adaptiveMCMC.py",
"copies": "1",
"size": "2035",
"license": "mit",
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... |
__author__ = 'Varun Nayyar'
import numpy as np
from scipy.stats import norm
from RobustLikelihoodClass import Likelihood
from Utils.MFCCArrayGen import SadCorpus
def weightProp2(currWeights):
numMixtures = len(currWeights)
# print numMixtures
tempWeights = np.zeros(numMixtures + 1)
tempWeights[1:-1]... | {
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__author__ = 'Varun Nayyar'
import numpy as np
from sklearn.mixture import GMM
from sklearn.metrics import confusion_matrix
from Utils.MFCCArrayGen import getCorpus, getIndiviudalData, speakers, getFullCorpus
from RobustLikelihoodClass import Likelihood
emotions = ["Bored", "Happy", "HotAnger", "Neutral", "Sad"]
... | {
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__author__ = 'Varun Nayyar'
import numpy as np
import os
import cPickle
emotions = ["Neutral", "Sad", "Bored", "Happy", "HotAnger"]
speakers = ["CC1", "CL1", "GG1", "JG1", "MF1", "MK1", "MM1"]
ExtractedMFCCs = "../MFCCData"
def main():
MFCCFiles = os.listdir(ExtractedMFCCs)
try:
MFCCFiles.remove(... | {
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import sys
import os
from os.path import expanduser
#prepare imports
#import the etree module
from lxml import etree
#import om_ch_translate class from the api to use for the fs field names
#from foam.api.legacyexpedientapi import om_ch_translate
#import some utility functions from flowspaceutils of the legacy optin ... | {
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"path": "ofam/src/src/foam/ethzlegacyoptinstuff/api_exp_to_rspecv3/expdatatogeniv3rspec.py",
"copies": "3",
"size": "12115",
"license": "apache-2.0",
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"autogenerated... |
#prepare imports
#import the etree module
from lxml import etree
#import om_ch_translate class from the api to use for the fs field names
from foam.api.legacyexpedientapi import om_ch_translate
#import some utility functions from flowspaceutils of the legacy optin manager
from foam.ethzlegacyoptinstuff.legacyoptin.flo... | {
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"path": "optin_manager/src/python/openflow/optin_manager/sfa/tests/to_openflow_rspec.py",
"copies": "4",
"size": "9823",
"license": "apache-2.0",
"hash": 2587519944402505000,
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__author__ = 'Vasiliy Solovey <miltador@yandex.ua>'
import collections
import os
import sys
from psutil import virtual_memory
PORT = os.environ.get('AP_PORT')
HOST = os.environ.get('AP_HOST')
HANDSHAKE = os.environ.get('AP_HANDSHAKE')
Result = collections.namedtuple('Result', 'id,result,error')
# Set of methods tha... | {
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"path": "mods/python27/android.py",
"copies": "1",
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__author__ = 'Vbabey'
import numpy as np
def identify(input):
X_input =[]
#print('Input :'+input)
values=str.split(input, ",")
#print(values)
if(len(values)==5):
array=list(map(float, values))
#print(array)
X_input.append(array)
#print(X_input) ... | {
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"path": "scripts/svmalgo.py",
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"size": "5316",
"license": "mit",
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__author__ = 'vcaen'
class Item(object):
def __init__(self, title, short_desc, desc, picture):
self.title = title
self.short_desc = short_desc
self.desc = desc
self.picture = picture
class Work(Item):
def __init__(self, title, short_desc, desc, date_begin, date_end, company... | {
"repo_name": "vcaen/personalwebsite",
"path": "app/models/cv.py",
"copies": "1",
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__author__ = 'vden'
from model.contact import Contact
from random import randrange
def test_modify_first_contact_home(app):
if app.contact.count() == 0:
app.contact.create(Contact(firstname="test"))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
contact = Co... | {
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"path": "test/test_modify_contact.py",
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__author__ = 'vden'
from pony.orm import *
from datetime import datetime
from model.group import Group
from model.contact import Contact
from pymysql.converters import decoders
class ORMFixture:
db = Database()
class ORMGroup(db.Entity):
_table_ = 'group_list'
id = PrimaryKey(int, column='g... | {
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"path": "fixture/orm.py",
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__author__ = 'vden'
import mysql.connector
from model.group import Group
from model.contact import Contact
class Dbfixture:
def __init__(self, host, name, user, password):
self.host = host
self.name = name
self.user = user
self.password = password
self.connection = mysql.co... | {
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__author__ = 'vdowling'
# Standard imports
import json
import sys
import argparse
# 3rd party imports
import requests
# Local imports
class NaturalLanguageClassifierInstance(object):
"""
Class that wraps the functionality associated with a single NLC instance. You can use this instead of command line P... | {
"repo_name": "mkaufmann1/Lightning",
"path": "python/nlc.py",
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... |
import numpy as np
import time
from tkinter import *
# Constants (SI)
SUN_MASS = 1.98855e30
MERCUR_MASS = 3.3011e23
MERCUR_SPEED = 47.362e3
MERCUR_DIST_SUN = 6.98169e10
VENUS_MASS = 4.8675e24
VENUS_SPEED = 35.02e3
VENUS_DIST_SUN = 1.08208e11
EARTH_MASS = 5.97237e24
EARTH_SPEED = 29.78e3
EARTH_DIST_SUN = 1.496e11
MAR... | {
"repo_name": "vegardbotnen/GravitySimulator",
"path": "GravitySimulator.py",
"copies": "1",
"size": "4579",
"license": "mit",
"hash": 4911529897442251000,
"line_mean": 25.9352941176,
"line_max": 107,
"alpha_frac": 0.5367984276,
"autogenerated": false,
"ratio": 3.1820708825573316,
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from PySide.QtGui import *
from PySide.QtCore import *
class Factorial(QObject):
xChanged = Signal(int)
def __init__(self):
super(Factorial, self).__init__()
self.xval = -1
self.facval = 1
def getX(self):
return self.xval
def setX(self, x):
if self.xval == x:
... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/PySide/examples/state-machine/factstates.py",
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"size": "2140",
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"autogenerated": false,... |
from PySide.QtGui import *
from PySide.QtCore import *
class LightWidget(QWidget):
def __init__(self, colour):
super(LightWidget, self).__init__()
self.colour = colour
self.onVal = False
def isOn(self):
return self.onVal
def setOn(self, on):
if self.onVal == on:
... | {
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"path": "src/python/Lib/site-packages/PySide/examples/state-machine/trafficlight.py",
"copies": "1",
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from PySide.QtGui import *
from PySide.QtCore import *
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
button = QPushButton(self)
button.setGeometry(QRect(100, 100, 100, 100))
machine = QStateMachine(self)
s1 = QState()
s1.assi... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/PySide/examples/state-machine/eventtrans.py",
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"license": "epl-1.0",
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"line_max": 79,
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"autogenerated": false,
"rati... |
from PySide.QtGui import *
from PySide.QtCore import *
class MovementTransition(QEventTransition):
def __init__(self, window):
super(MovementTransition, self).__init__(window, QEvent.KeyPress)
self.window = window
def eventTest(self, event):
if event.type() == QEvent.StateMachineWrappe... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/PySide/examples/state-machine/rogue.py",
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"line_max": 91,
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"autogenerated": false,
"r... |
from PySide.QtGui import *
from PySide.QtCore import *
class PingEvent(QEvent):
def __init__(self):
super(PingEvent, self).__init__(QEvent.Type(QEvent.User+2))
class PongEvent(QEvent):
def __init__(self):
super(PongEvent, self).__init__(QEvent.Type(QEvent.User+3))
class Pinger(QState):
de... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/PySide/examples/state-machine/pingpong.py",
"copies": "1",
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"license": "epl-1.0",
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"autogenerated": false,
... |
__author__ = 'Vernon'
import os
import operator
import time
def size_of(num, suffix='B'):
"""
Generates human readable file sizes. Accepts a value then returns a human readable file size in a string variable
"""
for unit in ['', 'K', 'M', 'G', 'T', 'P', 'E', 'Z']:
if abs(num) < 1024.0:
... | {
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"path": "viddb/dirfuncs.py",
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"size": "2937",
"license": "mit",
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"alpha_frac": 0.5025536261,
"autogenerated": false,
"ratio": 3.884920634920635,
"config_test": false,
"has_no_... |
__author__ = 'Vernon Wenberg III'
import tkinter as tk
import os
import tkinter.messagebox
import tkinter.filedialog
import tkinter.simpledialog
from tkinter import ttk
import subprocess
import sys
import viddb.dbfuncs
import viddb.dirfuncs
class Options(object):
"""
Stores the directory sort option that ha... | {
"repo_name": "redeuxx/vidDB",
"path": "vidDB.py",
"copies": "1",
"size": "11432",
"license": "mit",
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"line_mean": 41.1881918819,
"line_max": 119,
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"autogenerated": false,
"ratio": 3.8465679676985194,
"config_test": true,
"has_no_keywords... |
__author__ = 'Veronica'
from serial import Serial, SerialException
from src.controller.controller import Controller
import sys
class Dispositivo():
def __init__(self):
self.controller = Controller()
self.porta = self.escolhaPorta()
def escolhaPorta(self):
MAX_PORTAS = 10 # numero maxi... | {
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"path": "Elisa/src/model/device.py",
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__author__ = 'Veronica'
from src.model.frameGenerator import GeradorPacote
from src.model.generatedFrames import PacotesGerados
from src.model.frameSend import EnviarPacote
from src.model.frameListener import RecebedorPacote
from src.controller.controller import Controller
class ExperimentoElisa(object):
def __i... | {
"repo_name": "Veronicka/INPE_Projetos",
"path": "Elisa/src/model/elisaExperiment.py",
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"conf... |
__author__ = 'Veronica'
from threading import Thread
from frame import Pacote
from time import sleep
class GeradorPacote():
def __init__ (self, pacotesGerados):
self.varredura = 0x0
self.__pacotesGerados = pacotesGerados
self.__ok = True
self.__tempo = 0x0
def iniciarThread(se... | {
"repo_name": "Veronicka/INPE_Projetos",
"path": "Elisa/src/model/frameGenerator.py",
"copies": "1",
"size": "4677",
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"hash": 7278665615225084000,
"line_mean": 38.9743589744,
"line_max": 122,
"alpha_frac": 0.5189223861,
"autogenerated": false,
"ratio": 2.646859083191851,
"confi... |
__author__ = 'Veronica'
from threading import Thread
from src.controller.controller import Controller
class RecebedorPacote():
def __init__(self, dispositivo):
self.__dispositivo = dispositivo
self.__controller = Controller()
self.__lista = []
self.__ok = True
def iniciarThrea... | {
"repo_name": "Veronicka/INPE_Projetos",
"path": "Elisa/src/model/frameListener.py",
"copies": "1",
"size": "1027",
"license": "mit",
"hash": 1010258283297367600,
"line_mean": 26.0263157895,
"line_max": 57,
"alpha_frac": 0.553067186,
"autogenerated": false,
"ratio": 3.8178438661710037,
"config_... |
__author__ = 'VestalNetSciHigh'
import matplotlib.pyplot as plt
import networkx as nx
import settings
import time
import os
start_time = time.time()
# load graph.graphml
G = nx.read_graphml(open(settings.OUTPUT + "\\graph.graphml"))
# Generate graph types
GRAPH_TYPES = [["draw_spring", nx.spring_layout(G)],
... | {
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"path": "code/draw_graph.py",
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"alpha_frac": 0.6346830986,
"autogenerated": false,
"ratio": 2.8542713567839195,
"config_test": false... |
__author__ = 'VestalNetSciHigh'
"""
Set all distances below a threshold to 0
Then, may also set non-zero distances to 1
SEE Configurable Constants below
"""
import time
from numpy import loadtxt
import os
import settings
import datetime
start_time = time.time()
print "Started: " + datetime.datetime.fromtimestamp(sta... | {
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... |
__author__ = 'VestalNetSciHigh'
# Output a .graphml file from data
from numpy import loadtxt
import networkx as nx
import settings
import time
import csv
import datetime
DATATYPE = "clipped" # May use: "clipped" | "real", referring to whether or not a threshold was used
start_time = time.time()
print "Started: " +... | {
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__author__ = 'VestalNetSciHigh'
""" Read in data (and array of distance metrics) and calculate various stats """
import time
# from numpy import loadtxt
import numpy
import settings
import datetime
start_time = time.time()
print "Started: " + datetime.datetime.fromtimestamp(start_time).strftime('%Y-%m-%d %H:%M:%S')
... | {
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... |
__author__ = 'VestalNetSciHigh'
""" Read in data via a .csv file, verify data integrity, calculate distance metrics for each element, and output """
from sklearn.feature_extraction import DictVectorizer
from sklearn.neighbors import DistanceMetric
import settings
import time
import csv
import copy
import datetime
st... | {
"repo_name": "VestalNetSciHigh/store",
"path": "code/parseCSV.py",
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"autogenerated": false,
"ratio": 3.4153846153846152,
"config_test": false,
... |
__author__ = 'VestalNetSciHigh'
""" Setup global constants and define functions """
import os
from numpy import savetxt
import itertools
import collections
# path to data directory, target file (csv file, without extension), output directory
PATH = "..\\data"
TARGET = "NetSci-Data-15w04f"
OUTPUT = "..\\output\\" + T... | {
"repo_name": "VestalNetSciHigh/store",
"path": "code/settings.py",
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"size": "7178",
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"hash": 6716236678124485000,
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"autogenerated": false,
"ratio": 3.985563575791227,
"config_test": false,
... |
__author__ = 'vg'
import io
import dircache
import sys, os
#default path
base_dir = os.path.dirname('C:\\c-list\\country\\icu\\')
s = dircache.listdir(base_dir)
#creating country code list
our_codes = io.open('our_codes.txt', mode='r',encoding='utf8').readlines()
code_list = []
for k in our_codes:
code_list.ap... | {
"repo_name": "HaideiGV/country-list",
"path": "crawl.py",
"copies": "1",
"size": "1601",
"license": "mit",
"hash": -6698264514552264000,
"line_mean": 24.4285714286,
"line_max": 81,
"alpha_frac": 0.5921299188,
"autogenerated": false,
"ratio": 2.6506622516556293,
"config_test": false,
"has_no_... |
__author__ = 'vialette'
class ItemEvent(object):
REQUEST_ADD_ITEM = 0
START_ADD_ITEM = 1
END_ADD_ITEM = 2
def __init__(self, event_type, timestamp, item):
self._event_type = event_type
self._timestamp = timestamp
self._item = item
@property
def event_type(self):
... | {
"repo_name": "vialette/ultrastorage",
"path": "ultrastorage/itemevent/itemevent.py",
"copies": "1",
"size": "1312",
"license": "mit",
"hash": -312736889901415700,
"line_mean": 26.3541666667,
"line_max": 108,
"alpha_frac": 0.5708841463,
"autogenerated": false,
"ratio": 4.036923076923077,
"confi... |
__author__ = 'vialette'
from .transfertimemanager import TransferTimeManager
# Attached Resource Computer NETwork (ARCNET)
def ARCNET_2():
return TransferTimeManager(bps=2e+06)
def ARCNET_4():
return TransferTimeManager(bps=4e+06)
# Token ring
def TokenRing_4():
return TransferTimeManager(bps=4e+06)
... | {
"repo_name": "vialette/ultrastorage",
"path": "ultrastorage/storagesystem/transfertimemanager/network.py",
"copies": "1",
"size": "1178",
"license": "mit",
"hash": -3910292129344598000,
"line_mean": 18.9830508475,
"line_max": 52,
"alpha_frac": 0.7368421053,
"autogenerated": false,
"ratio": 2.887... |
__author__ = 'vialette'
# non-reconfigurable simulator
import ultrastorage.simulator.nonreconfigurable as nonreconfigurable
# insertion politics
import ultrastorage.inserter as inserter
# storage system
import ultrastorage.storagesystem as storagesystem
# item generator
import ultrastorage.itemgenerator as itemgene... | {
"repo_name": "vialette/ultrastorage",
"path": "test.py",
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"autogenerated": false,
"ratio": 4.140893470790378,
"config_test": false,
"has_no_key... |
from frequent_words import computingFrequencies
from frequent_words import patternToNumber
from frequent_words import numberToPattern
workingDir = "/Users/mli/Projects/DNA-analysis-tools/fixture/"
filename = "clump_finding_test.txt"
#filename = "sample.txt" #this is the E. coli genome
# This function outpus all distinc... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "clump_finding.py",
"copies": "1",
"size": "2489",
"license": "mit",
"hash": -4219952709509020700,
"line_mean": 45.9622641509,
"line_max": 197,
"alpha_frac": 0.7304138208,
"autogenerated": false,
"ratio": 3.1951219512195124,
"config_test": fa... |
from frequent_words_with_mismatches import computingFrequenciesWithMismatches
from reverse_complement_string import reverseComplementString
from frequent_words import numberToPattern
filename = "frequent_words_with_mismatches_test.txt" # use the same file as frequentWordsWithMismatches()
# This functions finds the mo... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "frequent_words_with_mismatches_and_reverse_complements.py",
"copies": "1",
"size": "1695",
"license": "mit",
"hash": -8567809718950892000,
"line_mean": 47.4285714286,
"line_max": 154,
"alpha_frac": 0.7899705015,
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"ratio"... |
from hamming_distance import hammingDistance
from frequent_words import patternToNumber
from frequent_words import numberToPattern
filename = "frequent_words_with_mismatches_test.txt"
# The function frequentWordsWithMismatches() finds the most frequent k-mers with mismatches in a string
# The input is a string, and i... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "frequent_words_with_mismatches.py",
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"... |
from pattern_count import patternCount
from collections import deque
filename = "frequent_words_test.txt"
#filename = "pattern_to_number_test.txt"
# The format of the file is: DNA in the first line, and the k-mer integer in the second line.
# This function creates the algorithm for finding the most frequent k-mers in... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "frequent_words.py",
"copies": "1",
"size": "5878",
"license": "mit",
"hash": -1359642224216972500,
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"line_max": 166,
"alpha_frac": 0.7119768629,
"autogenerated": false,
"ratio": 3.134933333333333,
"config_test": fa... |
from collections import deque
filename = "reverse_complement_string_test.txt"
# This function finds the reverse complement of a DNA string.
# For example, if the input is AAAACCCGGT, then its reverse complement string is ACCGGGTTTT.
def reverseComplementString(text):
reverseDeque = deque() # use a double-ended queu... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "reverse_complement_string.py",
"copies": "1",
"size": "1119",
"license": "mit",
"hash": 269070265258677340,
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"line_max": 110,
"alpha_frac": 0.7113494191,
"autogenerated": false,
"ratio": 3.262390670553936,
"config_... |
from hamming_distance import hammingDistance
filename = "approximate_pattern_match_test.txt"
#fileName = "approximate_pattern_match_sample.txt"
# The function approximatePatternMatch() takes pattern, text, and an integer d, and outputs the total count and all starting positions where pattern appears as a substring o... | {
"repo_name": "vickylihorst/genome-toolkit",
"path": "approximate_pattern_match.py",
"copies": "1",
"size": "1352",
"license": "mit",
"hash": 7696186288767373000,
"line_mean": 47.3214285714,
"line_max": 205,
"alpha_frac": 0.7551775148,
"autogenerated": false,
"ratio": 3.557894736842105,
"config... |
__author__ = 'Victoria'
from src.common.Observable import *
from src.game.AttackSpell import *
from random import *
class HeroState(object):
def __init__(self, name):
self._name = name
super(HeroState, self).__init__()
def north(self): pass
def south(self): pass
def attack(self): pass
... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/SimpleGame.py",
"copies": "1",
"size": "6900",
"license": "mit",
"hash": 1104034239575384800,
"line_mean": 28.8701298701,
"line_max": 97,
"alpha_frac": 0.555942029,
"autogenerated": false,
"ratio": 3.6997319034852545,
"config_test"... |
__author__ = 'Victoria'
#from src.game.Creature import *
from src.common.Observable import *
from src.game.Room2 import *
from src.game.StatePattern4 import *
from random import *
class Monster(Observable, Observer, Room):
def __init__(self, name):
super(Monster, self).__init__()
self._name = name
... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Monsters2.py",
"copies": "1",
"size": "2335",
"license": "mit",
"hash": -6602802785072861000,
"line_mean": 26.4705882353,
"line_max": 67,
"alpha_frac": 0.5717344754,
"autogenerated": false,
"ratio": 3.718152866242038,
"config_test"... |
__author__ = 'Victoria'
class Attributes(object):
def attributes(self):
pass
class Strength(Attributes):
def attributes(self):
print ("I have strength")
class Constistution(Attributes):
def attributes(self):
print ("I have constitution ")
class Dexteritiy(Attributes):
def att... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Attributes.py",
"copies": "1",
"size": "1183",
"license": "mit",
"hash": 1065260972494637800,
"line_mean": 24.7391304348,
"line_max": 50,
"alpha_frac": 0.628909552,
"autogenerated": false,
"ratio": 3.9565217391304346,
"config_test"... |
__author__ = 'Victoria'
class Room(object):
def __init__(self, value, link=None):
self.value = value
self.link = link
def linkTo(self, room):
self.link = room
def printAll(self):
print (self.value)
if self.link is not None:
self.link.printAll()
def... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/roomVisit.py",
"copies": "1",
"size": "3506",
"license": "mit",
"hash": 1206388041523473000,
"line_mean": 19.5029239766,
"line_max": 80,
"alpha_frac": 0.5402167712,
"autogenerated": false,
"ratio": 3.21651376146789,
"config_test": ... |
__author__ = 'Victoria'
#Decorator Pattern in Characters
class BarDecorators(Barbarian):
pass
class ImageBarDecorator(BarDecorators):
def __init__(self, decorated, picFile):
self.decorated = decorated
self.picFile = picFile
super(ImageBarDecorator, self).__init__(self.decorated.canvas,
... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Decorators.py",
"copies": "1",
"size": "1582",
"license": "mit",
"hash": 6530124870586385000,
"line_mean": 50.0322580645,
"line_max": 148,
"alpha_frac": 0.6472819216,
"autogenerated": false,
"ratio": 4.346153846153846,
"config_test... |
__author__ = 'Victoria'
from src.common.Locations import distance
from src.common.Observable import *
def collides(collidable1, collidable2):
'''detects if two collidables have collided'''
if not isinstance(collidable1, GameCollidable):
raise TypeError("Attempting to collide a non-collidable, argument... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/Common/GameWorld.py",
"copies": "1",
"size": "6112",
"license": "mit",
"hash": 2906397265397351400,
"line_mean": 34.5406976744,
"line_max": 110,
"alpha_frac": 0.663776178,
"autogenerated": false,
"ratio": 4.138117806364252,
"config_test... |
__author__ = 'Victoria'
from src.common.Observable import *
from src.game.AttackSpell import *
from src.game.Room2 import *
from src.game.StatePattern4 import *
from src.game.Monsters2 import *
from random import *
class Hero(Observable,Observer, AttackSpell):
def __init__(self, name):
super(Hero, self)._... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Heros3.py",
"copies": "1",
"size": "3416",
"license": "mit",
"hash": 6872956318934404000,
"line_mean": 30.3486238532,
"line_max": 97,
"alpha_frac": 0.5395199063,
"autogenerated": false,
"ratio": 3.935483870967742,
"config_test": fa... |
__author__ = 'Victoria'
from src.common.Observable import *
from src.game.AttackSpell import *
#rom src.game.Room2 import *
from src.game.StatePattern4 import *
from src.game.Monsters2 import *
from random import *
class Hero(Observable,Observer, AttackSpell):
def __init__(self, name):
super(Hero, self)._... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Heros2.py",
"copies": "1",
"size": "4317",
"license": "mit",
"hash": -5151901909697191000,
"line_mean": 30.0647482014,
"line_max": 97,
"alpha_frac": 0.5425063702,
"autogenerated": false,
"ratio": 3.917422867513612,
"config_test": f... |
__author__ = 'Victoria'
from src.game.AttackSpell import *
from src.game.AttackWeapon import *
class HeroState(object):
def __init__(self):
super(HeroState, self).__init__()
self._state = ' '
def changeState(self):
print ("changing state to %s" % self._state)
class AttackState(HeroSt... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/StatePattern3.py",
"copies": "1",
"size": "1264",
"license": "mit",
"hash": 5013758365864517000,
"line_mean": 24.7959183673,
"line_max": 53,
"alpha_frac": 0.5759493671,
"autogenerated": false,
"ratio": 3.5706214689265536,
"config_t... |
__author__ = 'Victoria'
#from src.game.Creature import *
from src.game.Heroes import *
from src.game.Monsters import *
hero = Hero('hero')
monst = Monster('monst')
monst.addObserver(monst)
monst.addObserver(monst)
hero.Display()
monst.Display()
Commands = {
'north' : Creatures.north,
'south' : Creatures.so... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "script/Driver.py",
"copies": "1",
"size": "1412",
"license": "mit",
"hash": 7414697470526127000,
"line_mean": 23.7894736842,
"line_max": 75,
"alpha_frac": 0.5934844193,
"autogenerated": false,
"ratio": 3.1588366890380315,
"config_test": fal... |
__author__ = 'Victoria'
from src.game.Creature import *
from src.game.Monsters import *
from src.game.Attributes import *
from src.game.StatePattern3 import *
from random import*
class Hero(Creatures, Observable, Observer, GameAttributes, HeroState):
attackState = None
roamState = None
runState = None
... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/Heros.py",
"copies": "1",
"size": "5717",
"license": "mit",
"hash": -2275339293042197200,
"line_mean": 35.6474358974,
"line_max": 101,
"alpha_frac": 0.5217771559,
"autogenerated": false,
"ratio": 4.069039145907474,
"config_test": f... |
__author__ = 'Victoria'
import math
# Useful heading constants
DOWN=math.pi/float(2)
UP=(3*math.pi)/float(2)
LEFT=float(math.pi)
RIGHT=0.0
def distance(loc1,loc2):
'''Computes the distance between two Locations'''
return math.sqrt((loc1.x-loc2.x)**2+(loc1.y-loc2.y)**2)
class Location:
'''Represents some... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/Common/Locations.py",
"copies": "1",
"size": "2063",
"license": "mit",
"hash": 7210117295920390000,
"line_mean": 25.4615384615,
"line_max": 126,
"alpha_frac": 0.5942801745,
"autogenerated": false,
"ratio": 3.1787365177195688,
"config_te... |
__author__ = 'Victoria'
import random
class Inventory:
"""An inventory of weapons and spells"""
def __init__(self, animal_factory=None):
self.pet_factory = animal_factory
def showInventory(self):
inventory = self.pet_factory.get_pet()
print ("This is a lovely", inventory)
... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/AbstractFactory.py",
"copies": "1",
"size": "1199",
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"autogenerated": false,
"ratio": 3.4355300859598854,
"config... |
__author__ = 'Victoria'
#This works just fine by it's self, but I tried and failed to have this
#implemented so that when the character moves if the monster is in a certain radius
#this should pop up to the user so that user can use an attack. This brought up
#the issue of getting the button box to pop up in the canva... | {
"repo_name": "victorianorton/SimpleRPGGame",
"path": "src/game/AttackInventory.py",
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"size": "4657",
"license": "mit",
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"autogenerated": false,
"ratio": 3.5441400304414,
"config_t... |
__author__ = 'victor, kelvinguu'
from unittest import TestCase
from stanza.monitoring.trigger import ThresholdTrigger, SlopeTrigger, PatienceTrigger
class TestEarlyStopping(TestCase):
def test_threshold(self):
e = ThresholdTrigger(min_threshold=-10, max_threshold=2)
for val in xrange(-10, 3):
... | {
"repo_name": "arunchaganty/presidential-debates",
"path": "third-party/stanza/test/unit_tests/monitoring/test_trigger.py",
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"license": "mit",
"hash": -5352211105957707000,
"line_mean": 31.3333333333,
"line_max": 85,
"alpha_frac": 0.611059044,
"autogenerated": false,
... |
_author_ = "Victor M"
import random
import Player
import Message
"""Rock paper scissors player"""
class RPSPlayerSwitcharoo(Player.Player):
def __init__(self):
# Call super class constructor
Player.Player.__init__(self)
self.strategy = RPSOppositeStrategy()
self.reset()
def re... | {
"repo_name": "PaulieC/sprint1_Council_b",
"path": "RPSPlayerSwitcharoo.py",
"copies": "2",
"size": "5033",
"license": "apache-2.0",
"hash": -6394513194724312000,
"line_mean": 32.5533333333,
"line_max": 119,
"alpha_frac": 0.6141466322,
"autogenerated": false,
"ratio": 3.9505494505494507,
"confi... |
_author_ = "Victor M"
import random
import Player
import Message
"""Rock paper scissors player"""
class VMPlayer(Player.Player):
def __init__(self):
# Call super class constructor
Player.Player.__init__(self)
self.strategy = RPSOppositeStrategy()
self.reset()
def reset(self):
... | {
"repo_name": "geebzter/game-framework",
"path": "VMPlayer.py",
"copies": "1",
"size": "5017",
"license": "apache-2.0",
"hash": 5673497651622167000,
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"alpha_frac": 0.6133147299,
"autogenerated": false,
"ratio": 3.962875197472354,
"config_test": false,... |
__author__ = 'victor'
from collections import Counter
import cPickle as pkl
import numpy as np
import sys
from pprint import pformat
import os
from dependency import NoPathException
from utils import np_softmax
class Example(dict):
def __init__(self, *args, **kwargs):
super(Example, self).__init__(*args,... | {
"repo_name": "vzhong/sent2rel",
"path": "data/dataset.py",
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"size": "7006",
"license": "mit",
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"line_max": 104,
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"autogenerated": false,
"ratio": 3.772751750134626,
"config_test": false,
"has_no... |
__author__ = 'victor'
from collections import Counter
class Vocab(object):
def __init__(self, unk=''):
self.word2index = {}
self.index2word = []
self.counts = Counter()
self.unk = unk
if self.unk:
self.add(self.unk)
def clear_counts(self):
self.cou... | {
"repo_name": "vzhong/pystacks",
"path": "pystacks/utils/text/vocab.py",
"copies": "1",
"size": "1426",
"license": "mit",
"hash": 6674909690133125000,
"line_mean": 24.9272727273,
"line_max": 71,
"alpha_frac": 0.5561009818,
"autogenerated": false,
"ratio": 3.5297029702970297,
"config_test": fals... |
__author__ = 'victor'
from dataset import Example
import csv
import os
mydir = os.path.dirname(os.path.abspath(__file__))
rawdir = os.path.join(mydir, 'raw')
class DatasetAdaptor(object):
keep = ['dependency', 'words', 'lemmas', 'pos', 'ner', 'subject_begin', 'subject_end', 'subject',
'subject_ner', '... | {
"repo_name": "vzhong/sent2rel",
"path": "data/adaptors.py",
"copies": "1",
"size": "8276",
"license": "mit",
"hash": -8629413037340881000,
"line_mean": 38.7884615385,
"line_max": 120,
"alpha_frac": 0.5743112615,
"autogenerated": false,
"ratio": 3.4526491447642886,
"config_test": false,
"has_... |
__author__ = 'victor'
from dataset import Example, Vocab
import numpy as np
from copy import deepcopy
from dependency import NoPathException, DependencyParse
class Featurizer(object):
def __init__(self, **vocab_kwargs):
self.vocab = {
'rel': vocab_kwargs.get('rel', Vocab()),
'ner'... | {
"repo_name": "vzhong/sent2rel",
"path": "data/featurizers.py",
"copies": "1",
"size": "9064",
"license": "mit",
"hash": 4878884647860805000,
"line_mean": 39.1061946903,
"line_max": 135,
"alpha_frac": 0.5660856134,
"autogenerated": false,
"ratio": 3.5939730372720065,
"config_test": false,
"ha... |
__author__ = 'victor'
import csv
import os
import numpy as np
from theano import tensor as T, shared
from keras.objectives import categorical_crossentropy
class TypeCheckAdaptor(object):
def __init__(self, fname, vocab):
from theano import shared
self.vocab = vocab
self.valid_types = self.... | {
"repo_name": "vzhong/sent2rel",
"path": "data/typecheck.py",
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"size": "2431",
"license": "mit",
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"line_max": 117,
"alpha_frac": 0.5828877005,
"autogenerated": false,
"ratio": 3.32103825136612,
"config_test": false,
"has_no_... |
__author__ = 'victor'
import json
from pprint import pprint
from matplotlib import pylab as P
import numpy as np
class Monitor(object):
""" Abstraction to monitor a stream of data
On creation, the file log is rewritten if it exists
:ivar name: name of the monitor
:ivar log_file: string path to the log... | {
"repo_name": "vzhong/pystacks",
"path": "pystacks/utils/logging.py",
"copies": "1",
"size": "3916",
"license": "mit",
"hash": 378793594382969540,
"line_mean": 31.0983606557,
"line_max": 102,
"alpha_frac": 0.565628192,
"autogenerated": false,
"ratio": 3.861932938856016,
"config_test": false,
... |
__author__ = 'victor'
import numpy as np
import theano
from theano import tensor as T
from theano.tensor.extra_ops import to_one_hot
from blocks.initialization import *
from blocks.bricks.lookup import LookupTable
from blocks.bricks.recurrent import LSTM
from blocks.bricks import *
from blocks.bricks.cost import Catego... | {
"repo_name": "vzhong/semeval",
"path": "model.py",
"copies": "1",
"size": "3352",
"license": "mit",
"hash": 869264511693719000,
"line_mean": 31.5436893204,
"line_max": 92,
"alpha_frac": 0.540274463,
"autogenerated": false,
"ratio": 3.0062780269058296,
"config_test": false,
"has_no_keywords":... |
__author__ = 'victor'
import numpy as np
class Initializer(object):
def fill(self, shape):
raise NotImplementedError()
class Xavier(Initializer):
def fill(self, shape):
n_in, n_out = shape
bound = np.sqrt(6. / (n_in + n_out))
return np.random.uniform(-bound, bound, shape)
... | {
"repo_name": "vzhong/pystacks",
"path": "pystacks/initializer.py",
"copies": "1",
"size": "1376",
"license": "mit",
"hash": -1235387895149306000,
"line_mean": 20.8412698413,
"line_max": 116,
"alpha_frac": 0.6126453488,
"autogenerated": false,
"ratio": 3.574025974025974,
"config_test": false,
... |
__author__ = 'victor'
import os
import stanza
import requests
import logging
def get_from_url(url):
"""
:param url: url to download from
:return: return the content at the url
"""
return requests.get(url).content
def get_data_or_download(dir_name, file_name, url='', size='unknown'):
"""Retur... | {
"repo_name": "arunchaganty/aeschines",
"path": "third-party/stanza/stanza/util/resource.py",
"copies": "3",
"size": "1271",
"license": "mit",
"hash": 2336484871970318000,
"line_mean": 35.3142857143,
"line_max": 124,
"alpha_frac": 0.6632572777,
"autogenerated": false,
"ratio": 3.716374269005848,
... |
__author__ = 'victor'
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as P
from sklearn.metrics import confusion_matrix
from collections import Counter
import numpy as np
def get_sorted_labels(targs, vocab):
counter = Counter(targs)
order = [i for i, count in counter.most_common()]
labels... | {
"repo_name": "vzhong/sent2rel",
"path": "plot_utils.py",
"copies": "1",
"size": "3719",
"license": "mit",
"hash": 4589454877257159700,
"line_mean": 37.7395833333,
"line_max": 119,
"alpha_frac": 0.6114546921,
"autogenerated": false,
"ratio": 3.4403330249768733,
"config_test": false,
"has_no_k... |
__author__ = 'Victor'
import time
from rubik_solver.Enums import Color
import rubik_solver.FaceCube as FaceCube
import rubik_solver.CoordCube as CoordCube
from rubik_solver.CubieCube import DupedEdge
class DupedFacelet(Exception):
pass
class NoSolution(Exception):
pass
class SolverTimeoutError(Exception... | {
"repo_name": "Wiston999/python-rubik",
"path": "rubik_solver/Solver/Kociemba/Search.py",
"copies": "1",
"size": "14418",
"license": "mit",
"hash": -6068008348547223000,
"line_mean": 40.6705202312,
"line_max": 134,
"alpha_frac": 0.4515882924,
"autogenerated": false,
"ratio": 3.9094360086767894,
... |
__author__ = 'victor'
import unittest
from data.featurizers import *
class TestFeaturizer(object):
words = ['yesterday', ',', 'Steph', 'Curry', 'had', 'curry', 'for', 'dinner']
ner = ['DATE', 'O', 'PERSON', 'PERSON', 'O', 'O', 'O', 'O']
pos = ['NN', ',', 'NNP', 'NNP', 'VBD', 'NN', 'IN', 'NN']
dep = [... | {
"repo_name": "vzhong/sent2rel",
"path": "tests/test_featurizers.py",
"copies": "1",
"size": "3119",
"license": "mit",
"hash": -6744439673398555000,
"line_mean": 49.3225806452,
"line_max": 131,
"alpha_frac": 0.6072459122,
"autogenerated": false,
"ratio": 3.1441532258064515,
"config_test": true,... |
__author__ = "Victor Varvariuc <victor.varvariuc@gmail.com>"
from datetime import datetime as DateTime, date as Date
from decimal import Decimal
import copy
import dbw
from dbw import Nil
from . import adapters, models
class Expression():
"""Expression - pair of operands and operation on them.
"""
sort ... | {
"repo_name": "warvariuc/dbw",
"path": "dbw/model_fields.py",
"copies": "1",
"size": "20936",
"license": "bsd-3-clause",
"hash": -4765340334404126000,
"line_mean": 39.4951644101,
"line_max": 100,
"alpha_frac": 0.5732231563,
"autogenerated": false,
"ratio": 4.361666666666666,
"config_test": fals... |
__author__ = "Victor Varvariuc <victor.varvariuc@gmail.com>"
import inspect
from datetime import datetime as DateTime, date as Date
from decimal import Decimal
from collections import OrderedDict
import dbw
class ModelAttrInfo():
"""Information about an attribute of a Model class.
"""
def __init__(self,... | {
"repo_name": "warvariuc/dbw",
"path": "dbw/models.py",
"copies": "1",
"size": "13492",
"license": "bsd-3-clause",
"hash": -4565994387542167000,
"line_mean": 38.2209302326,
"line_max": 100,
"alpha_frac": 0.5788615476,
"autogenerated": false,
"ratio": 4.33408287825249,
"config_test": false,
"h... |
__author__ = "Victor Varvariuc <victor.varvariuc@gmail.com>"
import os
import sys
import html
from pkgutil import iter_modules
from PyQt4 import QtCore, QtGui, uic
from PyKDE4 import kdecore
import mykde
def walk_modules(path):
"""Loads a module and all its submodules from a the given module path and returns t... | {
"repo_name": "warvariuc/mykde",
"path": "mykde/main.py",
"copies": "1",
"size": "6434",
"license": "bsd-3-clause",
"hash": 7913205633744604000,
"line_mean": 35.5568181818,
"line_max": 98,
"alpha_frac": 0.6317998135,
"autogenerated": false,
"ratio": 3.825208085612366,
"config_test": false,
"h... |
__author__ = 'Victor Varvariuc <victor.varvariuc@gmail.com>'
import unittest
import os
from datetime import date as Date, datetime as DateTime
from decimal import Decimal
import dbw
class PostgresqlAdapterTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
db_url = os.environ.get('POSTGRESQL... | {
"repo_name": "warvariuc/dbw",
"path": "dbw/tests/test_postgres_adapter.py",
"copies": "1",
"size": "10416",
"license": "bsd-3-clause",
"hash": -3824323147989534700,
"line_mean": 40.7429718876,
"line_max": 99,
"alpha_frac": 0.5616701943,
"autogenerated": false,
"ratio": 3.7755176171449327,
"con... |
__author__ = 'Victor Varvaryuk <victor.varvariuc@gmail.com>'
import os
import xml.etree.ElementTree as ET
class NodeMismatchError(Exception):
"""
"""
def restore_namespaces(func):
"""Remember the registered namespaces before calling the decorated function and restore them
after the call.
"""
... | {
"repo_name": "warvariuc/mykde",
"path": "mykde/xml_tree_merge.py",
"copies": "1",
"size": "3342",
"license": "bsd-3-clause",
"hash": 1770214992979611400,
"line_mean": 36.9772727273,
"line_max": 99,
"alpha_frac": 0.5840813884,
"autogenerated": false,
"ratio": 3.806378132118451,
"config_test": f... |
__author__ = 'videl'
import datetime
class frtz(datetime.tzinfo):
DST_OFFSET = datetime.timedelta(hours=+1)
# In the US, DST starts at 2 am (standard time) on the last Sunday in March,
# which is the first Sunday on or after March 25.
DSTSTART = datetime.datetime(1, 3, 25, 2)
# and ends at 3 am (D... | {
"repo_name": "Videl/absentees-blackboard",
"path": "frtz.py",
"copies": "1",
"size": "1190",
"license": "mit",
"hash": 6989644341889026000,
"line_mean": 33,
"line_max": 82,
"alpha_frac": 0.625210084,
"autogenerated": false,
"ratio": 3.296398891966759,
"config_test": false,
"has_no_keywords":... |
__author__ = 'videl'
from model.ADECommunicator import *
import logging
import re
def get_lessons_of_groups(groups, all_lessons):
"""
Get the lessons that a list of groups have.
"""
users_lessons = dict()
# Filter all the lessons of one user
for lesson in all_lessons:
#logging.error(l... | {
"repo_name": "Videl/absentees-blackboard",
"path": "util.py",
"copies": "1",
"size": "3280",
"license": "mit",
"hash": 9110378846065780000,
"line_mean": 25.248,
"line_max": 75,
"alpha_frac": 0.5777439024,
"autogenerated": false,
"ratio": 3.5574837310195226,
"config_test": false,
"has_no_keyw... |
__author__ = 'vid'
from lmfit import minimize, Parameters, Parameter, report_fit
import numpy as np
# create data to be fitted
x = np.linspace(0, 15, 301)
data = (5. * np.sin(2 * x - 0.1) * np.exp(-x * x * 0.025) +
np.random.normal(size=len(x), scale=0.2) )
# define objective function: returns the array to be... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "testlmfit.py",
"copies": "1",
"size": "1175",
"license": "mit",
"hash": -1811104484267496700,
"line_mean": 24.5434782609,
"line_max": 68,
"alpha_frac": 0.6442553191,
"autogenerated": false,
"ratio": 3.0283505154639174,
"config_test": false,
"has_no_k... |
__author__ = 'vid'
from tkinter import filedialog
import matplotlib.pyplot as plt
from matplotlib.patches import *
import os
pot = filedialog.askdirectory(initialdir='/media/vid/DLS DATA/')
seznam = os.listdir(pot)
di = {}
temperatura = []
absor = []
print(seznam)
for a in seznam:
if a[-4:] == '.txt':
k... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "uvvis_ris.py",
"copies": "1",
"size": "2838",
"license": "mit",
"hash": 1874582810710025000,
"line_mean": 26.2980769231,
"line_max": 92,
"alpha_frac": 0.5007047216,
"autogenerated": false,
"ratio": 2.697718631178707,
"config_test": false,
"has_no_key... |
__author__ = 'vid'
import matplotlib.pyplot as plt
from matplotlib.patches import *
import tkinter.filedialog as tk
import os
def beri(poti):
tempe = []
time = []
with open(poti, encoding='windows-1250') as file:
for line in file:
temp = line.strip().split(' ')
if '' in tem... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "risanje.py",
"copies": "1",
"size": "1027",
"license": "mit",
"hash": 3722949020329367000,
"line_mean": 22.3409090909,
"line_max": 57,
"alpha_frac": 0.5477582846,
"autogenerated": false,
"ratio": 3.2264150943396226,
"config_test": false,
"has_no_keyw... |
__author__ = 'vid'
import matplotlib.pyplot as plt
from tkinter import filedialog
import os
pot = filedialog.askdirectory(initialdir='/media/vid/DLS Data/VidS/Uv vis/')
seznam = os.listdir(pot)
di = {}
temperatura = []
absor = []
print(seznam)
for a in seznam:
if a[-4:] == '.CSV':
key = a.split('.')[0]
... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "risanje_stopnica.py",
"copies": "1",
"size": "2219",
"license": "mit",
"hash": -2751923766507024000,
"line_mean": 25.4166666667,
"line_max": 92,
"alpha_frac": 0.484220018,
"autogenerated": false,
"ratio": 2.731527093596059,
"config_test": false,
"has... |
__author__ = 'vid'
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
fig, ax = plt.subplots()
plt.subplots_adjust(left=0.25, bottom=0.25)
t = np.arange(0.0, 1.0, 0.001)
a0 = 5
f0 = 3
s = a0*np.sin(2*np.pi*f0*t)
l, = plt.plot(t,s, lw=2, color='red')
plt.axis(... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "slider.py",
"copies": "1",
"size": "1207",
"license": "mit",
"hash": -4220746048095953400,
"line_mean": 26.4545454545,
"line_max": 68,
"alpha_frac": 0.6512013256,
"autogenerated": false,
"ratio": 2.3166986564299425,
"config_test": false,
"has_no_keyw... |
__author__ = 'vid'
import os
import csv
import natsort
from tkinter import filedialog
import copy
pot = filedialog.askdirectory(initialdir='/media/vid/DLS Data/VidS/Uv vis/seq4Amod3 0.5mM/0.2 inkrement')
seznam = os.listdir(pot)
seznam = natsort.natsorted(seznam)
ime1 = 'OHL'
print(ime1)
# print(seznam)
j = 0
temp = ... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "lepljenje.py",
"copies": "1",
"size": "1726",
"license": "mit",
"hash": 3754448304778722000,
"line_mean": 22.6575342466,
"line_max": 105,
"alpha_frac": 0.4536500579,
"autogenerated": false,
"ratio": 3.143897996357013,
"config_test": false,
"has_no_ke... |
__author__ = 'vid'
import os
import numpy as np
import lmfit as lm
import matplotlib.pyplot as plt
from matplotlib.patches import *
import natsort
import tkinter.filedialog as tk
def beri(poti):
lagtime = []
corr = []
with open(poti, encoding='windows-1250') as file:
for i in range(33):
... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "fitDLS.py",
"copies": "1",
"size": "4722",
"license": "mit",
"hash": -531374900566865900,
"line_mean": 28.1481481481,
"line_max": 113,
"alpha_frac": 0.5251006143,
"autogenerated": false,
"ratio": 2.686966420034149,
"config_test": false,
"has_no_keywo... |
__author__ = 'vid'
import sys
import serial
from datetime import datetime
import time
import numpy as np
import matplotlib.pyplot as plt
def pretvorba(x):
# Funkcija pretvori upornost v temperaturo
r0 = 100.00
# Parametri so za pt100 sondo v območju od 0 do 661°C
a = 3.90830 * 10 ** (-3)
b = -5.77500 ... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "termo.py",
"copies": "1",
"size": "2572",
"license": "mit",
"hash": 3788198392063791000,
"line_mean": 24.8383838384,
"line_max": 90,
"alpha_frac": 0.6100899492,
"autogenerated": false,
"ratio": 2.492202729044834,
"config_test": false,
"has_no_keyword... |
__author__ = 'vid'
import natsort
import tkinter.filedialog as tk
import os
import matplotlib.pyplot as plt
def beriInt(poti):
intensity1 = []
intensity2 = []
time = []
with open(poti, encoding='windows-1250') as file:
for line in file:
temp = line.strip().split('\t')
... | {
"repo_name": "Ossada/DLS-UVVis",
"path": "Intensity_rate.py",
"copies": "1",
"size": "3011",
"license": "mit",
"hash": 3646683360959847400,
"line_mean": 24.7264957265,
"line_max": 95,
"alpha_frac": 0.5463609172,
"autogenerated": false,
"ratio": 2.898843930635838,
"config_test": false,
"has_n... |
__author__ = 'viirus'
from rest_framework.generics import RetrieveAPIView, ListAPIView, CreateAPIView
from rest_framework.views import APIView, Response
from .models import TallyUser
from .serializers import PublicTallyListSerializer, TallySerializer, BalanceSerializer
from datetime import datetime
class PublicTallyA... | {
"repo_name": "vIiRuS/Tallyr",
"path": "tally_sheet/api.py",
"copies": "1",
"size": "2064",
"license": "mit",
"hash": -5106084455491229000,
"line_mean": 36.5272727273,
"line_max": 86,
"alpha_frac": 0.6177325581,
"autogenerated": false,
"ratio": 4.363636363636363,
"config_test": false,
"has_no... |
__author__ = 'viirus'
from rest_framework.serializers import ModelSerializer, SerializerMethodField, Serializer, SlugRelatedField, FloatField
from .models import Tally, Item, TallyUser
from django.db.models import Count
class ItemSerializer(ModelSerializer):
class Meta:
model = Item
class PublicTallySe... | {
"repo_name": "vIiRuS/Tallyr",
"path": "tally_sheet/serializers.py",
"copies": "1",
"size": "1649",
"license": "mit",
"hash": -6290735176152066000,
"line_mean": 27.9298245614,
"line_max": 119,
"alpha_frac": 0.6634323833,
"autogenerated": false,
"ratio": 3.852803738317757,
"config_test": false,
... |
__author__ = 'Vijaysrinivas Rajagopal'
from datetime import datetime
import os
class ChatStruct:
"""
Small class structure to help Kommand.getchatresponse()
"""
__slots__ = ['index', 'time', 'playername', "type", "message", "noner", "all"]
def __init__(self):
self.index = None
se... | {
"repo_name": "MedicAlert/py4f",
"path": "Chatter.py",
"copies": "1",
"size": "2537",
"license": "mit",
"hash": 2214455519078889000,
"line_mean": 35.7826086957,
"line_max": 120,
"alpha_frac": 0.5313362239,
"autogenerated": false,
"ratio": 3.714494875549048,
"config_test": false,
"has_no_keywo... |
__author__ = 'Vijaysrinivas Rajagopal'
from p4youtside import *
from ClientFace import *
from RCONBase import *
#racial, religious, and more! Brought to you by the letter T, S, and A!
class Profiling:
"""
Used for grabbing extraneous player information from Player Profile Pages for later use.
IMPORTANT NO... | {
"repo_name": "MedicAlert/py4f",
"path": "PlayerFace.py",
"copies": "1",
"size": "3457",
"license": "mit",
"hash": -3208494856513166000,
"line_mean": 37.4111111111,
"line_max": 114,
"alpha_frac": 0.5953138559,
"autogenerated": false,
"ratio": 3.6466244725738397,
"config_test": false,
"has_no_... |
__author__ = 'Vijaysrinivas Rajagopal'
from RCONBase import TCPBARE
from Chatter import*
import ClientFace
import datetime
import threading, time, difflib
class PlayerStruc:
"""
Class is used for reference when storing information given by the command bf2cc pl.
"""
__slots__ = ['index', 'playername'... | {
"repo_name": "MedicAlert/py4f",
"path": "Kommands.py",
"copies": "1",
"size": "31585",
"license": "mit",
"hash": -1590993304773915100,
"line_mean": 29.1969407266,
"line_max": 134,
"alpha_frac": 0.5899319297,
"autogenerated": false,
"ratio": 3.729484000472311,
"config_test": false,
"has_no_ke... |
__author__ = 'Vijaysrinivas Rajagopal'
import socket, hashlib
class TCPBARE:
"""
Basic setup for a TCP connection to an RCON-enabled server.
Supported bases => BF2, BFH, BFP4F(Main), BF2142
"""
def __init__(self, IP, PORT, BUFFER, RCONPW, SERVER = socket.socket(socket.AF_INET, socket.SOCK_STREA... | {
"repo_name": "MedicAlert/py4f",
"path": "RCONBase.py",
"copies": "1",
"size": "4270",
"license": "mit",
"hash": -1476574346393184500,
"line_mean": 34.5916666667,
"line_max": 120,
"alpha_frac": 0.5826697892,
"autogenerated": false,
"ratio": 4.326241134751773,
"config_test": false,
"has_no_key... |
__author__ = 'Vijaysrinivas Rajagopal'
import urllib.request, urllib.error, json
class GrabSource:
"""
Grabs needed files (usually in JSON format) for processing and compiling during runtime
"""
def __init__(self):
self.rawdata = ""
self.jsondata = None
def sourcegrab(self, url):... | {
"repo_name": "MedicAlert/py4f",
"path": "p4youtside.py",
"copies": "1",
"size": "1792",
"license": "mit",
"hash": 7114934637549169000,
"line_mean": 32.2037037037,
"line_max": 111,
"alpha_frac": 0.5848214286,
"autogenerated": false,
"ratio": 4.157772621809745,
"config_test": false,
"has_no_ke... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
import argparse
import getpass
# Script to confirm whether EVC cluster is patched or not for Spectre vulenerability.
def get_args():
""" Get arguments from CLI """
parser = argparse.ArgumentParser(
... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/is_evc_cluster_patched.py",
"copies": "1",
"size": "3565",
"license": "mit",
"hash": 2975647998988774000,
"line_mean": 29.4700854701,
"line_max": 140,
"alpha_frac": 0.64628331,
"autogenerated": false,
"ratio": 3... |
#TODO: Some additional formatting and null check pending but that is not a blocker to run this script
import requests
import json
import ssl
import atexit
import sys
import argparse
import getpass
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(Inse... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "vCenter REST APIs using Python/vsphere_with_k8s/configure_supervisor_cluster.py",
"copies": "1",
"size": "8691",
"license": "mit",
"hash": 7648435032979726000,
"line_mean": 34.618852459,
"line_max": 168,
"alpha_frac": 0.5856633299,
"autogen... |
import requests
import json
import ssl
import atexit
import sys
import argparse
import getpass
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
s=requests.Session()
s.verify=False
def get_args():
""" Get arguments from ... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "vCenter REST APIs using Python/vsphere_with_k8s/create_namespace.py",
"copies": "1",
"size": "5496",
"license": "mit",
"hash": 737119923830149900,
"line_mean": 31.7142857143,
"line_max": 131,
"alpha_frac": 0.5933406114,
"autogenerated": fal... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
import time
#Script to check whether EVC can be enabled on cluster with given EVCMode
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.160.50.60", user="Administra... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/CheckConfigureEvcMode.py",
"copies": "1",
"size": "2151",
"license": "mit",
"hash": -8258736312138886000,
"line_mean": 36.7368421053,
"line_max": 138,
"alpha_frac": 0.6657368666,
"autogenerated": false,
"ratio":... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
#Script to enable EVC on cluster
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.160.50.60", user="Administrator@vsphere.local", pwd="VMware#12",sslContext=s)
cont... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/enableEVC.py",
"copies": "1",
"size": "1704",
"license": "mit",
"hash": -3549425227470977500,
"line_mean": 34.5,
"line_max": 138,
"alpha_frac": 0.6848591549,
"autogenerated": false,
"ratio": 3.4918032786885247,
... |
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