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#!/usr/bin/env python
import unittest
import nagios
from component_health import parse_response
class TestParseResponse(unittest.TestCase):
def runTest(self):
self.assertEqual(
parse_response("{\"status\": \"ok\", \"summary\": \"Test Summary\", \"details\": []}"),
(nagios.OK,
... |
from unittest import TestCase
from eemeter.uploader import api
import pandas as pd
from datetime import datetime
import pytz
class APITestCase(TestCase):
def setUp(self):
self.minimal_project_df = self._minimal_project_df_fixture()
self.minimal_consumption_df = self._minimal_consumption_df_fixtu... |
class FuelConsumption:
def __init__(self, konnection):
self.lf_stream = konnection.conn.add_stream(konnection.vessel.resources.amount, 'LiquidFuel')
self.ox_stream = konnection.conn.add_stream(konnection.vessel.resources.amount, 'Oxidizer')
self.met_stream = konnection.met_stream
sel... |
# -*- coding: utf-8 -*-
"""WebSocket Address
=======================
The :mod:`darc.sites.ws` module is customised to
handle WebSocket addresses.
"""
import darc.typing as typing
from darc.error import LinkNoReturn
from darc.link import Link
from darc.proxy.ws import save_ws
from darc.sites._abc import BaseSite
cl... |
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 19 13:36:31 2018
@author: Han
"""
import pandas as pd
import numpy as np
import os
'''return model'''
def CorrelationTest(factordataset,factorlist,stock,time,M):
if type(factordataset) == str:
df = pd.read_csv(factordataset,parse_dates=[str(time)])
del... |
import io
import math
import time
import sys
import random
import signal
import subprocess
import pprint
import socket
import threading
import os
from errno import ESRCH
from os import kill, path, unlink, path, listdir, remove
from rpc_commands_lib import Commands_Rpc
from time import sleep
from uuid import uuid4
ME... |
from pathlib import *
from filetools import *
def getTumorType(projectPath):
return projectPath.strip("/").split("/")[-4]
def getLabName(projectPath):
return projectPath.strip("/").split("/")[-2]
def getInstitutionName(projectPath):
return projectPath.strip("/").split("/")[-3]
def getProjectNumber(projectPath):
... |
from django.http import HttpResponse
from django.shortcuts import render, redirect
from .forms import LoginForm, RegisterForm
from django.contrib.auth import authenticate, login
from django.contrib.auth import get_user_model
import views
from django.http import HttpResponseRedirect
def gotobooks(request):
return H... |
"""
Alexander Eriksson
Windows 10
"""
def Palindrom(User_Input):
not_valid = "!\"#€%&/()=? :,'" # En sträng med ogiltiga tecken som skall tas bort
User_Input = User_Input.lower() #Gör om samtliga karaktärer till små bokstäver
i=0 #Ger "i" värdet 0
while i < len( not_valid ): #O... |
import os
from cryptography.fernet import Fernet
import clipboard
import random
import getpass
import string
import hashlib
appdata = os.environ.get('AppData')
pw_path = appdata + '/pwmanager/pw.txt'
key_path = appdata + '/pwmanager/key.key'
master_path = appdata + '/pwmanager/master.file'
counter = 0
counter2 = 0
... |
import importlib.util
blender_loader = importlib.util.find_spec('bpy')
# Include the bl_info at the top level always
bl_info = {
"name": "Yakuza GMD File Import/Export",
"author": "Samuel Stark (TheTurboTurnip)",
"version": (0, 2, 2),
"blender": (2, 80, 0),
"location": "File > Import-Export",
"... |
import numpy as np
R = 10
EXP = 6
N = 10**EXP
np.random.seed(1)
pt_x = np.random.uniform(-R, R, N)
pt_y = np.random.uniform(-R, R, N)
pts = zip(pt_x, pt_y)
ctr = 0
for i, pt in enumerate(pts):
dist = np.linalg.norm(pt)
if dist<=R:
ctr+=1
PI = 4*ctr/(i+1)
if i%(N//100)==0:
print(PI)
p... |
# --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), ... |
from ScenarioHelper import *
def main():
CreateScenaFile(
"m9082.bin", # FileName
"m9082", # MapName
"m9082", # Location
0x00C3, # MapIndex
"ed7356",
0x00000000, # Flags
... |
selling_price=float(input("Enter thr selling price:"))
cost_price=float(input("Enter thr cost price:"))
if(selling_price>cost_price):
print("profit")
else:
print("loss") |
#!/usr/bin/env python3
from flask import Blueprint, render_template
trymez = Blueprint('trymez', __name__, url_prefix='/try')
@trymez.route('/', methods=['GET'])
def show_try():
return render_template('trymez.html') |
from django.db import models
import datetime
from django.utils import timezone
from decimal import Decimal
from allauth.socialaccount.models import SocialAccount
from django.contrib.auth.models import User
import hashlib
DAYS_OF_WEEK = (
(0, 'Monday'),
(1, 'Tuesday'),
(2, 'Wednesday'),
(3, 'Thursday'),... |
# -*- coding: utf-8 -*-
import inject
import logging
import psycopg2
import sys
import crypt
if __name__ == '__main__':
if len(sys.argv) < 5:
sys.exit(1)
host = sys.argv[1]
port = sys.argv[2]
user = sys.argv[3]
dbpassword = sys.argv[4]
db = sys.argv[5]
con = psycopg2.connect(host=... |
from pigtest import PigTestCase, main
class TestExcite(PigTestCase):
PigScript = 'top_density_songs'
def generateRecord(self, fields):
return (
fields.get('track_id'), fields.get('analysis_sample_rate'),
fields.get('artist_7digitalid'), fields.get('artist_familiarity'),
... |
class Solution:
def mergeSimilarItems(self, items1: List[List[int]], items2: List[List[int]]) -> List[List[int]]:
d = {}
for i in items1:
d[i[0]] = i[1]
for i in items2:
if i[0] in d:
d[i[0]] += i[1]
else:
d[i[0]] = i[1]
... |
a, b, c = input().split()
if(int(a) %2 == 0 and int(b) %2 == 0 and int(c) %2 == 0):
print("NO")
elif(int(a) %2 != 0 and int(b) %2 != 0 and int(c) %2 != 0):
print("NO")
elif(int(a) %2 == 0 and int(b) %2 != 0 and int(c) %2 != 0):
print("YES")
elif(int(a) %2 == 0 and int(b) %2 == 0 and int(c) %2 != 0):
pri... |
from queue import Queue
def bfs(RG,src,sink):
parent = {v:None for v in RG}
dist = {v:None for v in RG}
que = Queue()
que.put(src)
dist[src] = 0
while not que.empty():
u = que.get()
if u==sink: break
for v in RG[u]:
if RG[u][v]==0: continue
i... |
# filled the empty age with median value of age
data['Age'].fillna(data['Age'].median(), inplace=True)
survived_sex = data[data['Survived']==1]['Sex'].value_counts()
dead_sex = data[data['Survived']==0]['Sex'].value_counts()
#plot the survived male , female and dead male,female
df = pd.DataFrame([survived_sex,dead_... |
#!/usr/bin/env python3
# Minimum missed number function
def min_num(o):
sort = sorted(o)
# print(sorted(o))
k = 0
for i in sort:
if (sort[k] in sort) and ((sort[k] + 1) in sort):
k += 1
# print(sort[k], sort[k] + 1, k)
#
else:
# print('missed number is ', min_num... |
# -*- encoding: utf-8 -*-
# author:virualv
# date :8/27/2018
s = '特斯拉'
s_to_unicode = s.decode('utf-8')
unicode_to_gbk = s_to_unicode.encode('gbk')
print(s_to_unicode)
print(unicode_to_gbk.decode('gbk')) |
from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='find'),
path('detail/<int:hospital_id>', views.detail, name='Hospital_detail'),
] |
#!/usr/bin/env python
#
# Test cases for tournament.py
from tournament import *
def testDeleteMatches():
deleteMatches()
print "1. Old matches can be deleted."
def testRegister():
deleteMatches()
deletePlayers()
registerPlayer("Chandra Nalaar")
c = 1 #countPlayers()
if c != 1:
ra... |
#!/usr/bin/env python
from functools import partial
import logging
import os
import pickle
from typing import List, Tuple
import numpy as np
import skimage.io as sio
from divik.cluster import GAPSearch, KMeans
import divik._cli._utils as scr
import divik.core as u
Segmentations = List[Tuple[u.IntLabels, u.Centroids... |
from time import sleep
import threading
def scheduler(f, args, n):
def worker(f, args, n):
seconds = n / 1000
sleep(seconds)
f(*args)
t = threading.Thread(target=worker, args=(f, args, n))
t.start()
return t
if __name__ == "__main__":
jobs = []
jobs.append(scheduler(... |
import Image, ImageStat
import sys
import pdb
import const
import line_util
dark_threshold = 236
light_threshold = 240
def count_lines_without_dark_pixel(im, start_x, start_y, end_x, end_y, thresh):
""" Return number of lines with no dark pixel from x to x2"""
dark_misses = 0
start_y, end_y = min(start_y... |
from http.server import BaseHTTPRequestHandler, HTTPServer
from sensors import get_all_sensor_data
import json
class S(BaseHTTPRequestHandler):
def do_HEAD(self):
self.send_response(200)
self.send_header('Content-type', 'text/html')
self.end_headers()
def do_GET(self):
self.do_... |
#!/usr/bin/env python
# Import flask and template operators
from flask import Flask, render_template
import flask.views
# Import SQLAlchemy
from flask.ext.sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
from werkzeug.utils import import_string
# Define the WSGI application object
app = Flask(__... |
import cv2
import time
from deepface import DeepFace
import os
import numpy as np
def capture_image(TIMER_READY=int(2), TIMER_COUNT=int(3)):
timer_ready = TIMER_READY
timer_count = TIMER_COUNT
cap = cv2.VideoCapture(0)
while True:
prev = time.time()
while timer_ready >= 0:
... |
# Generated by Django 2.0.6 on 2018-07-20 19:16
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('team', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Chal... |
import argparse
from tools.data_io import save_object, load_object
from tools.utils import get_logger, read_file_contents_list
import numpy as np
from scipy.stats import multivariate_normal
from scipy.spatial.distance import mahalanobis
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 im... |
import os
def main():
cash = 5000
bank(cash)
def bank(cash):
print("Choose a number: ")
print("1 - Withdraw")
print("2 - Deposit")
print("3 - Balance Inquiry")
print("4 - Exit")
choice = int(input("Number: "))
if (choice == 1):
money = float(input("Money to withdraw: "))
cash -= money
print("Money succes... |
from bs4 import BeautifulSoup # 解析网页
from fake_useragent import UserAgent # 随机生成User-agent
import chardet # 有时会遇到编码问题 需要检测网页编码
import re, urllib.request, socket, time, random, csv, json,requests
from requests import RequestException
import xlwings as xw
import pandas as pd
"""
网址：
https://m.weibo.cn/p/searc... |
import random as rnd
price = [20,50,10,30,99,1,2,3]
print(len(price))
for j in range(len(price)):
print("iterate through the list")
#loop through the list
for i in range(10):
print(i)
print(rnd.random())
#loop 10 times
for i in range(10):
print(i)
#loop through a list
for i in range(2,10,2):
... |
from info2soft import config
from info2soft import https
class Gauss (object):
def __init__(self, auth):
self.auth = auth
'''
* 高斯同步规则-新建
*
* @param dict $body 参数详见 API 手册
* @return list
'''
def createGaussRule(self, body):
url = '{0}/gauss/rule'.format(... |
import json
import requests
requests.packages.urllib3.disable_warnings()
#ISE get requires headers. AMP does not.
def iseget(url, headers):
try:
response = requests.get(url, headers=headers, verify=False)
# Consider any status other than 2xx an error
if not response.status_code // 100 == 2:
return "Error:... |
#! /usr/bin/env python
import rospy
from std_msgs.msg import Header
from gazebo_msgs.srv import GetModelState, GetModelStateRequest
from snake_control.msg import snake_head_rel_pos
import numpy as np
rospy.init_node('snake_head_pos_pub')
pos_pub=rospy.Publisher('/snake_head_pos', snake_head_rel_pos)
rospy.wait_for_... |
# -*- coding: utf-8 -*-
"""
Provides methods to process raw instacart data into a single datafile
containing a subset of categories and products from the original file
@author: Fenna ten Haaf
Written for the Econometrics & Operations Research Bachelor Thesis
Erasmus School of Economics
"""
import pand... |
from neuralpy.layers import Dense
from neuralpy.activation_functions import ReLU
from neuralpy.loss_functions import MSELoss
from neuralpy.models.model_helper import generate_layer_name, is_valid_layer
def test_generate_layer_name():
assert generate_layer_name('Dense', 1) == 'dense_layer_2'
assert generate_layer_nam... |
import random
import collections
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.models import Sequential
from config import reward_for_eating, reward_for_dying
class Agent(object):
... |
from unittest.mock import patch
import pytest
from django.core.exceptions import ValidationError
from django.test import override_settings
from core.validators import dataregistry_path_validator, validate_url_or_path
def test_validate_url_successful():
url = "https://www.google.com"
assert validate_url_or_p... |
import json
import torch.optim as optim
from models.train_loop import train_model
from models.seq_model import SeqModel
dir = "data_/"
entpair2id = json.load(fp=open(dir + "entpair2id.json"))
path2id = json.load(fp=open(dir + "path2id.json"))
exp_dir = "experiments/"
seq_model_dir = exp_dir+"seqmodel/"
log = op... |
import torch
import torch.nn.functional as F
class HingeLoss(object):
def __init__(self):
pass
def __call__(self, logits, loss_type):
assert loss_type in ['gen', 'dis_real', 'dis_fake']
if loss_type == 'gen':
return -torch.mean(logits)
elif loss_type == 'dis_real':... |
from typing import List
from off_policy_rl.config.config import Config
from off_policy_rl.utils.bin import Bin
from off_policy_rl.utils.types import Pose
class Environment:
def __init__(self, bins: List[Bin]):
assert len(bins) == 2
self.bins = bins
#self.current_bin = Config.current_bin
... |
# -*- coding:utf-8 -*-
# Author: Roc-J
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
result = []
for item in nums2:
if len(nums1) == 0:
return re... |
import pyautogui
import time
pyautogui.FAILSAFE = False
print("\n██╗ █████╗ ███████╗██╗ ██╗ ██╗████████╗ ██████╗ ██╗ ██╗██████╗ ███████╗\n"
"██║ ██╔══██╗╚══███╔╝╚██╗ ██╔╝ ██║╚══██╔══╝ ██╔══██╗██║ ██║██╔══██╗██╔════╝\n"
"██║ ███████║ ███╔╝ ╚████╔╝ ██║ ██║ ██║ ██║██║... |
from app import app,db
from tables import User
from flask import request,abort,jsonify,url_for
#to register a new user
@app.route('/api/users', methods = ['POST'])
def newUser():
username = request.json.get('username')
password = request.json.get('password')
#checking validity of entered username
if us... |
#!/usr/bin/python
#Date: 1.23.18
import urllib2
import re
import requests
## Get IP ##
OPENER = urllib2.build_opener()
OPENER.addheaders = [('User-agent', 'Mozilla/5.0')]
MY_IP = OPENER.open('http://ipchicken.com/')
MY_IP = MY_IP.read()
IP = re.findall(r'[0-9]+(?:\.[0-9]+){3}', MY_IP)[0]
print "IP Address: %s" % IP
#... |
from collections import defaultdict
import re
with open('/Users/joakimkoljonen/src/adventofcode/2017/22.input', 'r') as file:
input = file.read()
test_input = '''..#
#..
...
'''
#input = test_input
ROUNDS = 10000000
parsed = [line for line in input.split('\n') if line != '']
infected = set()
flagged = set()
weak... |
# Convert all of the text columns in train to the categorical data type.
# Select the Utilities column, return the categorical codes, and display the unique value counts for those codes: train['Utilities'].cat.codes.value_counts()
import pandas as pd
data = pd.read_csv('AmesHousing.txt', delimiter="\t")
train =... |
# coding: utf-8
import random
from gat_games.game_engine.engine import *
from gat_games.game_engine.cardgame import *
# TODOs:
# who wins start next round => must_start_new_cycle BUG?
class TrucoPlayer(Player):
def play(self, context, **kwargs):
if kwargs.get('action', 'play') == 'accept_truco':
... |
###########################################################################
### Chapter 17 - Projecting Major League Performance ###
# Mathletics: How Gamblers, Managers, and Sports Enthusiasts #
# Use Mathematics in Baseball, Basketball, and Football #
################... |
import urllib2,json,codecs,string #importing necessary libraries
var0="N/A" #initialise the variables with any random values
var10="N/A"
var12="N/A"
fob=codecs.open('/Users/gudaprudhvihemanth/Desktop/ram.csv','a','utf-8') #create and open a csv file with utf-8 encoding format
fob.write("E... |
def is_postal_code(code):
if type(code) == str:
if len(code) == 7:
for i in range(7):
if i == 0 or i == 2 or i == 5:
if not code[i].isalpha() or not code[i].isupper():
return False
elif i == 1 or i == ... |
from django.shortcuts import render
from django.http import HttpResponse
from background_task import background
from django.contrib.auth.models import User
from django.core.mail import send_mail
from pricetracker import settings
from track.models import Product
from track.views import ProductCreateView
@b... |
#Dimensionality Reduction
'''Ref: https://www.analyticsvidhya.com/blog/2018/08/dimensionality-reduction-techniques-python'''
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
train = pd.read_csv('D:\Programming Tutorials\Machine Learning\Projects\Datasets\Train_UWu5bXk.txt')
#checking... |
from django.urls import path
from django.urls.conf import include
from . import views
urlpatterns = [
path('', views.index),
path('new_user', views.new_user),
] |
import logging
import pytest
from ocs_ci.framework.pytest_customization.marks import tier1, tier2
from ocs_ci.framework.testlib import MCGTest
from ocs_ci.ocs import constants
from ocs_ci.ocs.bucket_utils import (
compare_bucket_object_list,
patch_replication_policy_to_bucket,
sync_object_directory,
w... |
import os
from flask import Flask
from flask_restful import Api
from flask_cors import CORS
from flask_migrate import Migrate
from models.db import db
from models import user, item, cart, cartItem
from resources import user, item, cart, cartItem
app = Flask(__name__)
CORS(app)
api = Api(app)
DATABASE_URL = os.getenv('... |
class Solution(object):
def partition(self, lo, hi, pivot):
i0 = lo
for i1 in range(lo, hi):
if self.nums[i1] < pivot:
self.nums[i0], self.nums[i1] = self.nums[i1], self.nums[i0]
i0 += 1
return i0
def sortColors(self, nums... |
# encoding: utf-8
import tool_utils
import acmd.repo
get_command = tool_utils.get_command
get_argument = tool_utils.get_argument
filter_system = tool_utils.filter_system
def init_default_tools(config=None):
acmd.repo.import_tools(__file__, 'acmd.tools', prefix=None, config=config)
|
# 'Hello world'
print('Hello world \n')
# '1__2__4__8__16'
print(1,2,4,8,16, sep ='__' , end = '\n\n')
print("#########\n#\t\t#\n#\t\t#\n#\t\t#\n#########\n\n#\t\t#\n#\t\t#\n#########\n#\t\t#\n#\t\t# \n")
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 21 01:40:28 2018
@author: nick
"""
import shutil,os,re
datePattern = re.compile(r"""^(.*?)
((0|1)?\d)-
((0|1|2|3)?\d)-
((19|20)\d\d)
(.*?)$
""",re.VERBOSE)
for amerFilename in os.listdir('.'):
mo = datePattern.search(amerFi... |
import json
import requests
response = requests.get(
"https://www.esheba.cnsbd.com/v1/trains?journey_date=2021-02-27&from_station=DA&to_station=KFJ&class=S_CHAIR&adult=1&child=0")
js = response.json()
dic = json.dumps(js, indent=4)
print(dic)
|
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from textformat import timeAndText
import time, config as c
# Check how to remove error messages
def initalizeDriver():
timeAndText('Initalizing driver')
options = webdriver.ChromeOptions()
if c.optionHeadless: options.... |
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import copy
class AbstractCodeView(QTableView):
def init(self): # slot, not constructor!!!
self.code_model = self.ModelClass(parent = self)
self.setModel(self.code_model) # add model to set size of header
self.horizontalH... |
# %%
import cv2
import numpy as np
# %%
img = cv2.imread('bookpage.jpg')
retval, threshold = cv2.threshold(img, 12, 255, cv2.THRESH_BINARY)
grayscaled = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
teval2, threshold2 = cv2.threshold(grayscaled, 12, 255, cv2.THRESH_BINARY)
gaus = cv2.adaptiveThreshold(
grayscaled,... |
# is_male = True
# is_tall = False
# if is_male and is_tall:
# print("you are a male")
# elif is_male and not(is_tall):
# print("you are not a male and you are not tall")
# elif not(is_male) and is_tall:
# print("blah blah")
# else:
# print("you are a female")
def is_male(boolean):
if is_male:
... |
from gw_app.nas_managers.mod_mikrotik import MikrotikTransmitter
from gw_app.nas_managers.core import NasNetworkError, NasFailedResult
from gw_app.nas_managers.structs import SubnetQueue
# Указываем какие реализации шлюзов у нас есть, это будет использоваться в
# web интерфейсе
NAS_TYPES = (
('mktk', MikrotikTrans... |
N = int(input())
A = list(int(x) for x in input().split())
cur = 0
s = set()
s.add(0)
for a in A:
cur += a
cur %= 360
s.add(cur)
li = sorted(list(s))
li.append(360)
print(max(li[i] - li[i-1] for i in range(1,len(li)))) |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Course',
fields=[
('id', models.AutoField(verbo... |
import numpy as np
from scipy.stats import multivariate_normal as mvn
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.gaussian_process.kernels import RBF
import matplotlib
font = {"size": 30}
matplotlib.rc("font", **font)
matplotlib.rcParams["text.usetex"] = True
lengthscale = 1.0
amplitude = 1.0... |
def myfun(n):
return lambda a:a*n
mydoubler=myfun(2)
print(mydoubler(11))
def myfun(n):
return lambda a:a*n
mydoubler=myfun(2)
mytr=myfun(3)
print(mydoubler(11))
print(mytr(11))
|
import numpy as np
import torchvision.transforms as transforms
import torch.utils.data as tudata
from dataset.folder import ImageFolderInstance
# import pdb
class ToNumpy(object):
def __call__(self, pic):
"""
Args:
pic (PIL Image or numpy.ndarray): Image to be converted to numpy.
R... |
from django.template import Library
register = Library()
def admin_media_prefix():
"""
Returns the string contained in the setting ADMIN_MEDIA_PREFIX.
"""
try:
from django.conf import settings
return settings.ADMIN_MEDIA_PREFIX
except ImportError:
return ''
admin_media_pref... |
from geoserver.catalog import Catalog
# Connect to Catalog, with REST URL, user and password
cat = Catalog("http://tethys.icimod.org:8080/geoserver/rest/", "admin", "mapserver109#")
globalsetting = Catalog("http://tethys.icimod.org:8080/geoserver/rest/settings[HTML]", "admin", "mapserver109#")
# layerlist = cat.get_la... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# Computes a figure showing the amount of probes Ally, RadarGun, MIDAR and TreeNET will use to
# conduct alias resolution. The amounts are not necessarily the exact amount that will be used,
# they are more like predicted amounts that should however be faithful to exper... |
from traitlets import Bool, Float, Unicode, observe
from jdaviz.core.events import AddDataMessage, RemoveDataMessage, CanvasRotationChangedMessage
from jdaviz.core.registries import tray_registry
from jdaviz.core.template_mixin import PluginTemplateMixin, ViewerSelectMixin
from jdaviz.core.user_api import PluginU... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11a1 on 2017-05-12 17:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0001_initial'),
]
operations = [
migrations.CreateModel(
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc.
#
# Licensed under the Apache License, Version 2.0 ( the "License" );
# you may not use this file except in compliance with the License.
# You may obtain a copy of ... |
from tkinter import *
import random
from tkinter.messagebox import showinfo
top = Tk()
top.title("덧셈 및 뺄셈 학습")
class Ed(Frame):
def __init__(self, top):
Frame.__init__(self, top)
self.pack()
self.calc = Entry(self)
self.res = Entry(self)
self.bt = Button(self, command=self... |
from mechanics.events import Trigger
from mechanics.events import DamageEvent, BuffAppliedEvent
from game_objects.attributes import Bonus, Attribute
from game_objects.battlefield_objects import CharAttributes as ca
from mechanics.buffs import Buff
def battle_rage_callback(t,e:DamageEvent):
chance = t.chance
... |
# calc energy of a certain configuration
import numpy as np
class energyCalc():
def __init__(self):
self.kapa = 1.0
def createFaceList(self, vert, faces):
# find all faces that contain a certain vertex
faceList = []
for faceIndex in range(len(faces)):
if (faces[faceIndex][0] == int(vert) or faces[faceI... |
# dai = int(input("cdai:"))
# rong = int(input("crong:"))
#
# for i in range(dai):
# print(x) #can phai sua lai
#
# for i in range(rong):
# print(x)
for i in range(3): #cach 01
# print("*" * 4) #print on line
for j in range(4):
print("*", end="9")
print()
|
from collections import deque
def find_miner(grid):
for r in range(len(grid)):
for c in range(len(grid[r])):
if grid[r][c] == "s":
return r, c
def left_coal(grid):
x = 0
for r in range(len(grid)):
for c in range(len(grid[r])):
if grid[r][c] == "c":... |
"""imports"""
from django.contrib import admin
from django.urls import include, path
from . import views
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
path('admin/', admin.site.urls),
p... |
from drink import Drink
from food import Food
food1 = Food('Sandwich', 5)
food1.calorie_count = 330
print(food1.info())
drink1 = Drink('Coffee', 3)
drink1.volume = 180
print(drink1.info())
|
from nvd3 import multiBarChart,multiBarHorizontalChart
import json
import requests
import gmplot
# Cumulated="https://services6.arcgis.com/bKYAIlQgwHslVRaK/arcgis/rest/services/Cumulative_Date_Grouped_ViewLayer/FeatureServer/0/query?where=1%3D1&outFields=*&outSR=4326&f=json"
# RdataCumulated= requests.get(Cumulated).... |
# Slide 128
# Step 1: Assign a value to radius
radius = 20
# Step 2: Calculate the area
area = radius * radius * 3.14
# Step 3: Display the result
print("The area for the circle of radius ", radius, "is", area)
|
from tkinter import *
from tkmacosx import Button
from tkinter import filedialog
from tkinter import messagebox
import pandas as pd
import os
import tkinter as tk
import cmath
root= Tk(className = " Receipt Scrapper")
# Declared canvas
canvas1 = Canvas(root
, width = 300
, height = 400... |
def sparse_dot_product(dict1,dict2):
lista1 = list(dict1.items())
lista2 = list(dict2.items())
print(lista1)
print(lista2)
soma = 0
for (index1,valor1) in lista1:
produto = 0
for (index2,valor2) in lista2:
if index1 == index2:
produto = valor1*valor2
... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# @author: Longxing Tan, tanlongxing888@163.com
# @date: 2020-01
# paper:
# use UniLM language model, but in time series, the feature dimension is not equally like token embedding of NLP
import tensorflow as tf
from ..layers.attention_layer import *
class BERT(object):... |
import cv2
import face_recognition
import sys
'''
# PIL做图比较复杂，不使用PIL库
from PIL import Image
ret = Image.open('similar_two_face.jpg')
print(ret)
'''
'''
ret:
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=440x571 at 0x7F0D5F9FD810>
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=440x571 at 0x7F0D7D201390... |
from django.db import models
class Articulo(models.Model):
titulo = models.CharField(max_length=150)
contenido = models.CharField(max_length=150)
imagen = models.ImageField(upload_to = 'articulos')
creted = models.DateTimeField(auto_now_add=True)
updated =models.DateTimeField(auto_now_add=True)
... |
import numpy as np
import collections
import sys
import csv
import keras
import json
from keras import initializers
from keras.models import Sequential, load_model
from keras.layers import Dense, Dropout, Embedding, LSTM, Bidirectional
from keras.preprocessing import sequence
from keras.callbacks import EarlyStopping
... |
"""Module to do recommendations by user. """
import matplotlib.pyplot as plt
import pandas as pd
import tensorflow as tf
from pyframework.container import Container
from pyframework.helpers.configuration import is_production_env
from pyframework.helpers.lists import array_column
from tensorflow import keras
from tenso... |
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