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#!/usr/bin/env python3
import rospy
import numpy as np
from sensor_msgs.msg import Image,CameraInfo
from cv_bridge import CvBridge, CvBridgeError
import tf
from std_msgs.msg import String,Int64MultiArray
from geometry_msgs.msg import *
from vision_msgs.msg import Detection2DArray
def objects_callback(data):
glob... |
import cv2 as cv
import matplotlib.pyplot as plt
from copy import deepcopy
def read_image(img):
return cv.imread(img)
def create_binary_mask(rgb_image):
imgYCrCb = cv.cvtColor(rgb_image, cv.COLOR_RGB2YCrCb)
mask = cv.inRange(imgYCrCb, (0, 133, 77), (255, 173, 127))
return mask
def fit_ellipse(mask_... |
#!/usr/bin/env python
# Software License Agreement (BSD License)
#
# Copyright (c) 2015, Robotnik Automation SLL
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source... |
import pytest
from aws_lambda_context import LambdaContext
from moto import mock_ecs
from src.handler import *
@mock_ecs
def test_that_the_lambda_handler_succeeds_with_context(ecs, sns_event):
lambda_context = LambdaContext()
lambda_context.function_name = "lambda_handler"
lambda_context.aws_request_id =... |
# Generated by Django 3.2 on 2021-04-30 22:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('movie', '0007_quote'),
]
operations = [
migrations.AlterModelOptions(
name='quote',
options={'verbose_name': 'Киноцита... |
#!/usr/bin/env python
#
# Copyright (c) 2019 Opticks Team. All Rights Reserved.
#
# This file is part of Opticks
# (see https://bitbucket.org/simoncblyth/opticks).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a... |
hrs = raw_input("Enter Hours:")
try:
h = float(hrs)
except:
h = float(raw_input("Enter a numeric hours:"))
rate = raw_input("Enter Hourly Rate:")
try:
r = float(rate)
except:
r = float(raw_input("Enter a numeric rate:"))
if h <= 40:
pay = h * r
else:
pay = 40 * r + (h - 40) * r * 1.5
prin... |
print("Or")
a="Or "
print(a*3)
print(a*100)
|
#!/usr/bin/ipython
import GreenF
import sys
import DensityN
import numpy as np
import matplotlib.pyplot as plt
print("please select variable set:\n")
print("1) m=1, alpha=0, beta=0, B0=1")
print("2) m=1, alpha=1, beta=0, B0=0")
print("3) m=1, alpha=0, beta=1, B0=0")
print("4) m=10, alpha=1, beta=0, B0=0")
print("5... |
import sys
from tree import binary_tree
input_list = [1, -2, 9, -3, 5, -1, 11];
tree = binary_tree(input_list);
#print all the different levels of the tree
print("LIST OF ALL LEVELS:");
tree.print_tree(); |
#!/usr/bin/env python
# coding: utf-8
# # # Python Program to check values of Riemann's Zeta-Function
#
# Powered by: Dr. Hermann Völlinger, DHBW Stuttgart(Germany); September 2020
#
# See https://en.wikipedia.org/wiki/Riemann_zeta_function
#
# YouTube Video: https://www.youtube.com/watch?v=sZhl6PyTfl... |
"""
Math 560
Project 2
Fall 2021
project2.py
Partner 1: QiangQiang Liu
Partner 2: Zelin Jin
Date: 11/01/2021
"""
# Import math and other p2 files.
import math
from p2tests import *
"""
BFS/DFS function
INPUTS
maze: A Maze object representing the maze.
alg: A string that is either 'BFS' or 'DF... |
#!/usr/bin/env python
from collections import namedtuple
class Student:
def __init__(self, name, number, tb1_experiments, tb2_experiments, pair_number, lang="en"):
self.name = name
self.number = number
self.tb1_experiments = tb1_experiments
self.pair_number = pair_number
se... |
from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
class product(Resource):
def get(self):
return {
'products' : ['ice cream',
'chocolate',
'Fruit']
}
api.a... |
import c4d
import random
from c4d import gui
def main():
obj1 = doc.SearchObject("Cube");
#Where Cube is made editable, Type: c4d.PolygonObject
#For each point on "Cube"
for x in range(obj1.GetPointCount()):
#Set that point with itself minus a random number from 0 to 10
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__mtime__ = '2019/5/9'
from selenium import webdriver
from common.base import Base
import time
class AddBugPage(Base):
loc_test=("link text","测试")
loc_bug =("xpath",".//*[@id='subNavbar']/ul/li[1]/a")
# loc_add =("xpath",".//*[@id='mainContent']/div[2]/div[2]... |
queries = ["" for i in range(0, 11)]
### 0. List all airport codes and their cities. Order by the city name in the increasing order.
### Output column order: airportid, city
queries[0] = """
select airportid, city
from airports
order by city;
"""
### 1. Write a query to find the names of the customers whose names ar... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 3 17:04:17 2018
@author: daehyun
"""
from pickle import loads
from pymongo import MongoClient
from cytoolz import pipe, filter, partial
from pandas import DataFrame
import matplotlib.pyplot as plt
# %%
db = MongoClient('lithium.local')['FERMI_20... |
import pyeapi
from pprint import pprint
import yaml
from my_funcs import read_yaml
from jinja2 import FileSystemLoader, StrictUndefined
from jinja2.environment import Environment
yaml_devices = read_yaml("devices.yaml")
env = Environment(undefined=StrictUndefined)
env.loader = FileSystemLoader('.')
template_file = '... |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
from django.conf.urls import url, include, handler404, handler500
from shop import views
from django.contrib.auth import views as auth_views
urlpatterns = [
# -- Pour les produits
url(r'^categorie/(?P<id>\d+)/$', views.categorie, name="categorie"),
url(r'^... |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm
from django.utils.translation import ugettext_lazy as _
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Fieldset
class RegistrationForm(Us... |
hours=2
minuts=0
seconds=0
import time
from turtle import *
setup()
t=Turtle()
while True:
t.clear()
t.write(str(hours).zfill(2)+":"+str(minuts).zfill(2)+":"+str(seconds).zfill(2), font=("arial",30,"normal"))
seconds=seconds+1
time.sleep(1)
if seconds==60:
seconds=0
minuts=minuts+1
... |
import json
from django.shortcuts import render
from django.http import JsonResponse,HttpResponse
from rest_framework import serializers
from .models import Employee
from .serializer import EmployeeSerializer,UserSerializer
from django.contrib.auth.models import User
from django.views.decorators.csrf import csrf_exempt... |
from matplotlib.colors import colorConverter
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
# create dummy data
zvals = np.ones((100,100))# np.random.rand(100,100)*10-5
zvals2 = np.random.rand(100,100)*10-5
# generate the colors for your colormap
color1 = colorConverter.to_rgba('white')
c... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-03 10:07
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('KawsWebEnter', '0001_initial'),
]
operations = [
migrations.CreateModel(
... |
# coding: utf-8
from __future__ import absolute_import
import struct
from datetime import datetime
import logging
from celery import signals
from celery.task.control import revoke
import zmq
import gevent.monkey # we need gevent to use 'then' on AsyncResult
gevent.monkey.patch_all()
from . import worker
from .state ... |
#!/usr/bin/env python3
# Splits data into training, validation, test and probe sets
data_path = 'dataset/um/'
with open(data_path + 'all.dta', 'r') as dat, open(data_path + 'all.idx', 'r') as idx:
with open(data_path + 'base.dta', 'w') as base, open(data_path + 'valid.dta', 'w') as valid, \
open(data_p... |
import yfinance as yf
import pandas as pd
import numpy as np
import pandas_datareader as web
import matplotlib.pyplot as plt
from datetime import date
import datetime as dt
#This code can help one see how their stocks have performed compared to the market index. (SPY)
ans1 = input("Enter your Ticker symbol:")
ans2 = in... |
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
#明文实现的ssh连接
ssh.connect(hostname="10.20.220.105",port="22",username="jor",password="123456")
stdin,stdout,stderr = ssh.exec_command('df')
res,err = stdout.read(),stderr.read()
result = res if res else err
print(re... |
class DataExtractor:
def __init__(self,txtFile):
self.txtFile = txtFile
def parseTextFile(self):
with open(self.txtFile) as f:
textMessages = f.read()
msgs = []
outputs = []
for textMessage in textMessages.split('\n'):
if(not(textMe... |
def solution(n, m):
gcd = 1
for i in range(min(n, m), 0, -1):
if n % i == 0 and m % i == 0:
gcd = i
break
lcm = 0
for i in range(max(n, m), n * m + 1):
if i % n == 0 and i % m == 0:
lcm = i
break
return [gcd, lcm] |
from django.shortcuts import render, redirect
from .models import Contact
# Create your views here.
def contact_form(request):
if request.method == 'POST':
user_type = request.POST['user_type']
name = request.POST['user_name']
email = request.POST['user_email']
phone_number = request.POST['user_phone']
com... |
#!/usr/bin/env python
import requests
import glob
import os
import json
dv_endpoint = 'http://localhost:8080/dataverse_stub/published'
def release_all( data_dir = 'data' ):
for fn in glob.glob('%s/*.json' % data_dir ):
with open(fn,'r') as inp:
x = json.load( inp )
dataset_release... |
from .influx_object import InfluxObject
from .csv_object import CSVObject
from .exporter_object import ExporterObject
from .base_object import BaseObject
from .__version__ import __version__
from .config_object import Configuration
from .command_object import export_csv_to_influx
|
from mpi4py import MPI
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
if rank == 0:
data = {'a': 7, 'b': 3.14}
comm.isend(data, dest=1, tag=11)
comm.isend(data, dest=2, tag=11)
comm.isend(data, dest=3, tag=11)
elif rank == 1 or rank == 2 or rank == 3:
data = comm.irecv(source=0, tag=11)
print("... |
#!/usr/bin/env python
# -*- coding: cp1252 -*-
# AUTHOR
#
# Daniel Jimenez Martinez (razorbreak@gmail.com)
#
# DESCRIPTION
#
# AiMasterMind es un juego en el que dos IAs (Inteligencias Artificiales) se
# enfrentan por ver quien de ellas descubre una contraseņa generada
# aleatoriamente antes que su rival.
# La idea d... |
class Solution:
def addDigits(self, num: int) -> int:
while True:
ans = 0
while num:
ans += num % 10
num //= 10
if ans < 10:
return ans
else:
num = ans
# 进阶 O(1)的时间复杂度？
# 差值为9的倍数，%9可得各位和
class ... |
from django.contrib.auth.forms import UserCreationForm
from django.views.generic import ListView, CreateView, UpdateView, DeleteView, DetailView
from .models import Equipo, Ticket, Empleado
from .forms import EquipoForm, TicketForm, EmpleadoForm, UserRegisterForm
from django.contrib import messages
from django.shortcu... |
#!/usr/bin/env python
from distutils.core import setup
setup( name='IPMap',
version='1.0',
description='Map IPv4 addresses to Hilbert curve',
author='Daniel Miller',
author_email='bonsaiviking@gmail.com',
url='https://github.com/bonsaiviking/IPMap',
packages=['ipmap'],
... |
from random import choice
print "Hi I want to play Rock, Paper Scissiors!"
print "Ready? Let's play best out of three!"
print "Make your move! (r,p, s, or q to quit)"
move = raw_input ("Enter: ")
def rock_paper_scissors(move, my_score, your_score):
x = choice ("rps")
if x == "r" and move == "r":
print "I play R... |
from django.contrib import admin
from .models import Answer, Question, QuestionItem, Result, ResultItem, Test
class AnswerAdmin(admin.StackedInline):
# model = Answer.answers.through
model = Question.answers.through
extra = 0
class QuestionItemAdmin(admin.StackedInline):
model = QuestionItem
ex... |
# Write a program that accepts sequence of lines as input and prints the lines after making all characters in the sentence capitalized.
# Suppose the following input is supplied to the program:
# Hello world
# Practice makes perfect
# Then, the output should be:
# HELLO WORLD
# PRACTICE MAKES PERFECT
print('Please, wr... |
#-*- coding:utf8 -*-
# Copyright (c) 2020 barriery
# Python release: 3.7.0
# Create time: 2020-03-14
import json
from google.protobuf import text_format
from . import database
from .proto import entity_pb2
from .proto import result_pb2
def parse_json_to_entity(jsonObj, entype):
def parse_App(jsonObj):
en... |
# -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import hashlib
import random
class ScrapyPages:
#网页内容保存目录
contentDir = "D:\\pages\\"
#网页链接保存目录
atagsDir = "D:\\atags\\"
#保存网页与文件名对应关系的文件
mappingFile = "D:\\mapping"
#已处理的链接
handledLin... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import logging
import shlex
from dataclasses import dataclass
from pants.backend.shell.subsystems.shell_setup import ShellSetup
from pants.backend.shel... |
import sys
print sys.argv
x = sys.argv
y = x[1::]
print list(y)
x=1
for i in y:
x = int(i) * int(x)
print str(x) |
class Memory:
def __init__(self,internal, secondary, ram):
self.internal=internal
self.secondary=secondary
self.ram=ram
def getinfo(self):
print("INTERNAL :{} \n secondary :{} \n and ram :{}\n".format(self.internal,self.secondary,self.ram))
class Properti... |
import argparse
import numpy as np
import torch
import torchvision.transforms as transforms
from torch.utils.tensorboard import SummaryWriter
from load_data import generate_data
from trainer import Trainer
# Command Line Arguments
parser = argparse.ArgumentParser()
parser.add_argument("--train-epoch", default=50, ty... |
from mesa import Model, Agent
from mesa.time import RandomActivation
from mesa.space import SingleGrid
from mesa.datacollection import DataCollector
class SchellingAgent(Agent):
'''
Define the Agent
One of the core class
'''
def __init__(self, pos, model, agent_type):
'''
Create a... |
#coding:gb2312
#在3.4的基础上，添加一条print语句，指出哪位无法赴约；修改名单，将无法赴约的替换为新的；再次打印一系列信息发出邀请。
Friends=['cby','sch','fjy','lq']
message=", "+"Would You like To Have Dinner With Me"+"?"
print(Friends[-1].title()+", "+"Can't Have Dinner With Me"+".")
Friends[-1]='ljy'
print(Friends[0].title()+message)
print(Friends[1].title()+message)
pr... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import logging
from dataclasses import dataclass
from itertools import chain
from typing import Any
from pants.backend.docker.goals.package_image impor... |
False #data type, true or false, called boolean
True
print(1 == 2) #False
print(1 < 2) #True
print(1 > 2) #False
print(1 >= 1) #True
print(1 <= 2) #True
print(1 != 1) #False
a = 1
b = 2
print(a == b) #False
name = "Chad"
print(name == "Chad") #True
print(name != "George") #True b/c this is a true state... |
import codecs
import http.client
import json
import ssl
import threading
from multiprocessing import Pool
from urllib.request import urlopen
"""Script to print the last comments of Hacker News users before they are banned.
Reads from the Hacker News API: https://github.com/HackerNews/API)
This is my first time writ... |
def gcdTwoNumbers(a,b):
if(b==1):
return b #base case
if(a%b==0):
return b
return gcdTwoNumbers(a,b/2)
result1=gcdTwoNumbers(2,1)
result2=gcdTwoNumbers(8,4)
result3=gcdTwoNumbers(160,8)
print ("The results are:",result1,result2,result3) |
from pathlib import Path
import pandas as pd
base_path = Path('.\\code\\')
summary = pd.DataFrame(columns=['dice',
'precision',
'recall',
'true_positives',
'true_negatives'])
for i in base_path.glob('res*'):
name = str(i)[8:-4]
with open(str(i)) as f:
f.readline()
for line in f.readlines... |
#!/usr/bin/python
import sys
import re
import urllib
import urlparse
for line in sys.stdin:
regexp = '(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}) (.+) (.+) \[(.+)\] \"([A-Z]+) (.+) HTTP/.\..\" (.+) (.+)'
match = re.match(regexp, urllib.unquote(line.strip()))
if match:
ip, client, username, time, type, fi... |
from collections import defaultdict, deque, Counter
import sys
from decimal import *
from heapq import heapify, heappop, heappush
import math
import random
import string
from copy import deepcopy
from itertools import combinations, permutations, product
from operator import mul, itemgetter
from functools import reduce,... |
import re
class Option:
'''
'''
def __init__(self, need, limit, name=None, sign=None):
'''
'''
self.need = need
self.limit = limit
self.name = name
self.sign = sign
self.param = []
def add_param(self, item):
'''
加入参数
'''... |
from django.contrib.auth import authenticate
from django.shortcuts import render
from rest_framework.exceptions import PermissionDenied
from rest_framework.permissions import IsAuthenticated, IsAdminUser
from rest_framework.response import Response
from rest_framework import viewsets, generics, status, parsers, respons... |
import requests
url = "http://127.0.0.1:5000/pms/dm/v1.0/application/update"
|
from string import ascii_lowercase
def main():
# Shift characters by 2 positions
cipher = ('g fmnc wms bgblr rpylqjyrc gr zw fylb. rfyrq ufyr amknsrcpq ypc '
'dmp. bmgle gr gl zw fylb gq glcddgagclr ylb rfyr\'q ufw rfgq rcv'
'r gq qm jmle. sqgle qrpgle.kyicrpylq() gq pcamkkclbcb. lm... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import pytest
from pants.backend.python.subsystems.setup import PythonSetup
from pants.core.goals.generate_lockfiles import UnrecognizedResolveNamesErr... |
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
#데이터 읽어들이기
wine = pd.read_csv("./data/winequality-white.csv", sep=';', encoding='utf-8')
#데이터를 레이블과 ... |
from mlxtend.plotting import plot_decision_regions
from mlxtend.classifier import LogisticRegression
import pandas
import numpy as np
from sklearn import linear_model
from sklearn.model_selection import cross_val_score as cvsc
set_sizes = [100,500,1000,5000,10000,50000,100000,500000,1000000,5000000,10000000,500000... |
import logging
from db_objects import Story, User, Task
from db_session import session
logging.basicConfig()
logger = logging.getLogger("db_query")
logger.setLevel(logging.DEBUG)
# Query one task
task = (session.query(Task).join(Story).join(User)
.filter(Story.story_title == 'Story 001')
.filter(User... |
from fnp.baseline.task2.utils import *
import pandas as pd
import argparse
from sklearn.model_selection import train_test_split
def write_file(file_name, data):
with open(file_name, "w") as f:
for sent in data:
i = 1
for token, tag in sent:
f.write(str(i) + "\t" + ... |
l = [1,2,3,4,5,6,7,8,9,10]
len(l)
l.append(11)
cpy = l.copy()
count = l.count(11)
l.clear()
sliced = l[1:4]
for i in l:
print(i)
if 11 in l:
print("Found 11")
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
remotail.py
~~~~~~~~~~~
Tail multiple remote files on a terminal window
:copyright: (c) 2013 by Abhinav Singh.
:license: BSD, see LICENSE for more details.
"""
VERSION = (0, 1, 1)
__version__ = '.'.join(map(str, VERSION[0:3])) + ''.join(VERSION[3:]... |
"""Treadmill cell checkout.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import collections
import logging
import sqlite3
import sys
import click
import pandas as pd
from treadmill import cli
_LOGGER = logg... |
"""
Model objects for the CLB mimic. Please see the `Rackspace Cloud Load
Balancer API docs
<http://docs.rackspace.com/loadbalancers/api/v1.0/clb-devguide/content/API_Operations.html>`
for more information.
"""
from __future__ import absolute_import, division, unicode_literals
from copy import deepcopy
from random ... |
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
import numpy as np
import random
import tkinter as Tk
from grafica import Grafica
import vectorEntrenamiento as vE
root = Tk.Tk()
root.wm_title("... |
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 4 18:06:21 2021
@author: chanchanchan
"""
import streamlit as st
import pandas as pd
from matplotlib import pyplot as plt
import plotly.express as px
import plotly.graph_objects as go
import DissertationPlotwithDataMain as main
def app():
... |
import math
import time
import serial
import Frequency_Determination as FD
import FECLib as fec
def loadCharacterSet(SetName):
fullName = 'Source/CharacterSets/'+SetName+'.txt'
file = open(fullName,'r')
fullSet = file.read()
validChars = fullSet.split(',')
return (validChars)
class InputValidation:
# prompts... |
from django.conf.urls import url
from django.contrib import admin
from rest_framework.authtoken import views
from .views import (
UserCreateAPIView,
UserLoginAPIView
)
urlpatterns = [
#url(r'^login/$', UserLoginAPIView.as_view(), name='login'),
url(r'^sign-up/$', UserCreateAPIView.as_view(), name... |
import class_demo6
d = class_demo6.Demo(12, 13)
print(d.do_something())
# 檔名: module_demo.py
# 作者: Kaiching Chang
# 時間: July, 2014
|
# rolling-around-a-cube.py
# Maulik Doshi + Section F + maulikd
# 15-112 Term Project Fall 2014
# Rolling Around a Cube
from __future__ import with_statement
from visual import *
import pygame # Used purely for the music functionality
import math, random, os
pygame.mixer.init()
intromusic = pygame.mixe... |
# -*- coding: utf-8 -*-
# @Author: Safer
# @Date: 2016-08-19 00:55:40
# @Last Modified by: Safer
# @Last Modified time: 2016-08-22 23:52:12
import sys
from PyQt5.QtWidgets import QApplication, QMessageBox
from db import DB
if __name__ == '__main__':
app = QApplication(sys.argv)
db = DB()
db.from_('te... |
import pandas
import time
def table():
# today's USD exchange rate trend
url = 'https://www.fubon.com/Fubon_Portal/banking/Personal/deposit/exchange_rate/exchange_rate1_photo.jsp?urlParameter=1D¤cy=USD'
pd = pandas.read_html(url)
currency = pd[0]
return currency
def show_buy_table(buy_... |
import sys
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import equation6
import conic_parameters
sys.path.append('../conic-projection')
from conproj_utils import Conic
import crw_misc_utils
def polar_plot(r, th, ax, **kwargs):
ax.plot(r*np.cos(th), r*np.sin(th), **kwargs)
def om... |
import os
import math
train_data = '/home/s1459234/data/conll2017_data/Turkic-DEL/train/cleaned-ug-ud-train.conllu'
out_train_data = '/home/s1459234/data/conll2017_data/Turkic-DEL/cleaned-ug-ud-train.conllu'
out_dev_data = '/home/s1459234/data/conll2017_data/Turkic-DEL/cleaned-ug-ud-dev.conllu'
num_sents = 100
trai... |
import os
import urllib.request
from stat import S_ISDIR
from json import loads
import re
import sys
import shutil
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
PARTICIIPANTS_DIR = "participants"
participantsFolder = "%s/site/_participants"%(BASE_DIR,)
solutionsFolder = "%s/site/_solutions"%... |
# Submitter: loganw1(Wang, Logan)
from collections import defaultdict
from goody import type_as_str
import prompt
class Bag:
def __init__(self, *values):
d = defaultdict(int)
if values !=None:
for value in values:
for value1 in value:
d[value1] +=1
... |
#No Context Bot by @robuyasu#3100
from discord.ext.commands import Bot
from discord.ext import commands
from itertools import cycle
from TwitApi import TwitApi
from twitter.error import TwitterError
import discord
import asyncio
import twitter
import sys, traceback
import os
import random
Client = discord.Client()
cli... |
from urllib import request,parse
from http import cookiejar
# 创建Filecookiejar的实例
filename = "cookie.txt"
cookie = cookiejar.MozillaCookieJar(filename)
# 生成cookie的管理器
cookie_handler = request.HTTPCookieProcessor(cookie)
# 创建一个http请求guanlq
http_handler = request.HTTPHandler()
# 生成https管理器
https_handler = request.HTTPSH... |
import pandas as pd
import os
class Person():
name = ''
address = ''
def __init__(self, name, address):
self.name = name
self.address = address |
import os
import pandas as pd
import filter
for fname in os.listdir('prksn_test'):
if fname.endswith('.csv'):
print(fname)
data = filter.filter(f'prksn_test/{fname}')
data.sort_values(by=['time', 'part']).to_csv(f'processed_prksn/{fname}', sep=';', header=False, index=False, float_format='%... |
__author__ = "Narwhale"
import linecache
#数据处理
fields=('bid','uid','username','v_class','content','img','time','source','rt_num','cm_num','rt_uid'
,'rt_username','rt_v_class','rt_content','rt_img','src_rt_num','src_cm_num','gender','rt_mid'
,'location','rt_mid','mid','lat','lon','lbs_type','lbs_title','poiid',... |
import boto3
import pprint
import os
import pprint
REGION = os.getenv('AWS_REGION', 'us-west-2')
def convert_list_to_dict(obj, key='Key', value='Value'):
return {e[key]: e[value] for e in obj}
def describe_all_instances(client):
instances = []
paginator = client.get_paginator('describe_instances')
r... |
import itertools
import numpy as np
list1 = np.arange(1,5,1)
list2 = []
for i in range(1,len(list1)+1):
iter = itertools.combinations(list1,i)
list2.append(list(iter))
print(list2) |
# from markdown2 import markdown as md2html
from markdown import markdown as md2html
from IPython.display import HTML, display
bg_color = 'background-color:#d8e7ff;' #e2edff;'
def show_answer(excercise_tag):
TYPE, s = answers[excercise_tag]
s = s[1:] # Remove newline
if TYPE == "HTML": s = s
elif TYP... |
s = 'azcbobobegghakl'
length = len(s)
count = 0
i = 0
for i in range(length):
if (i + 2) < length:
if s[i] == 'b':
if (s[i]+s[i+1]+s[i+2]) == 'bob':
count += 1
i += 1
print 'Number of times bob occurs is: ' + str(count)
|
#!/usr/bin/env python
# this is modified csdata.py
from __future__ import print_function
import fastjet as fj
import fjcontrib
import fjext
import fjtools
import tqdm
import argparse
import os
import numpy as np
import array
import copy
import random
import uproot
import pandas as pd
import time
from pyjetty.mputi... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import textwrap
from dataclasses import dataclass
from pathlib import Path
from typing import Iterable
from _pytest.fixtures import FixtureRequest
from... |
"""Abstraction for dealing with products and the files they contain."""
import os
from xml.dom.minidom import parseString
from .coda_aware import CODA_Aware
class Product(CODA_Aware):
"""A CODA product, composed mainly of NetCDF files."""
def __init__(self, uuid, work_dir=""):
self.files = []
... |
import logging
import os
from .routes import setup_routes
from aiohttp import web
async def init():
app = web.Application()
setup_routes(app)
return app
def serve():
logging.basicConfig(level=logging.DEBUG)
port = int(os.environ.get("PORT", 8080))
app = init()
web.run_app(app, port=po... |
import math
#Test 5 dimension lists
list1 = [5,1,2,6,2,1]
list2 = [1,3,5,0,3,2]
list3 = [5,1,2,6,2,3]
list4 = [99,99,99,99,99,4]
list5 = [5,-1,-2,-4,2,5]
data = [list1, list2, list3, list4, list5]
def similarity(a,b):
distance = 0
zipped = zip(a,b)
for x, y in zipped:
if x < 0 or y < 0:
continue
distance ... |
import asyncio
from random import Random
from math import ceil
from shared.utils import get_time
from shared.utils import get_rnd
from shared.utils import get_rnd_seed
from shared.LogParser import LogParser
from shared.LockManager import LockManager
from shared.RedisManager import RedisManager
# --------------------... |
""" Script to read the energy of the prompt signals of preselected events of atmospheric NC neutrino background and
calculate the spectrum of atmospheric NC neutrino background as function of the visible energy.
1. Read txt files where the energy of the prompt signals of the preselected events are saved.
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 5 15:41:26 2017
@author: sglusnev
"""
from flask import Flask, Response, jsonify
from flask_restplus import Api, Resource, fields, reqparse
from flask_cors import CORS, cross_origin
import os
# the app
app = Flask(__name__)
CORS(app)
api = Api(app, version='1... |
import cv2
import numpy as np
import math
import time
from typing import NamedTuple
hsv_lower = np.array([20, 100, 95])
hsv_upper = np.array([90, 255, 255])
#hsv_lower = np.array([20, 50, 180])
#hsv_upper = np.array([90, 170, 255])
def analyze_video(video_path):
cap = cv2.VideoCapture(video_path)
prev_frame_time =... |
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