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#!/usr/bin/python3
"""
Here, the class FileStorage that serializes instances to a JSON file
and deserializes JSON file to instances
"""
import json
import os.path
class FileStorage():
""" Initialization of class attributes """
__file_path = "objects_info.json"
__objects = {}
def all(self):
"... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-27 08:32
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('prodsys', '0006_auto_20170426_0456'),
]
operations = [
migrations.AddField(
... |
import numpy as np
# Initialisation - Parameters from question
k = 2 # Number of clusters to form
centers = { # Initial clusters' centers
0: [-1, 3],
1: [5, 1],
}
x = np.array([ # Dataset
[-1, 3],
[1, 4],
[0, 5],
[4, -1],
[3, 0],
[5, 1]
])
try:
assert(k == len(centers))
except A... |
# These dictionaries are merged with the extracted function metadata at build time.
# Changes to the metadata should be made here, because functions.py is generated thus any changes get overwritten.
# By default all functions in functions.py are "public".
# This will override that with private (prefixes name with '_')... |
from pathlib import Path
from time import time
class struct(dict):
__getattr__, __setattr__ = dict.__getitem__, dict.__setitem__
pb = {"a_example": 21, "b_read_on": 5831900, "c_incunabula": 2361663, "d_tough_choices": 5033860, "e_so_many_books": 4511113, "f_libraries_of_the_world": 4998006}
def main():
fo... |
#Division Function: given two numbers returns quotient of the first number divided by the second number
def division(num1, num2):
return num1/num2
print division(42, 7)
def greeting(self):
print 'Hi There','+self+','!'
greeting ("Susan");
print 'Greetings', '+self+', '!'
greeting("Earthling")
def... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 10 11:07:22 2021
@author: dhruv
"""
import sys
print("Welcome to your todo list!")
tasks = []
while True:
print("What would you like to do with your todo list?\n")
print("1. Add a task")
print("2. Remove a task")
print("3. Exit a task")
i =... |
resp='S'
soma = quantidade = media= 0
while resp in 'Ss':
num = int(input('Entre com um número:'))
soma+= num
quantidade +=1
resp=str(input('Quer continuar?[S/N]')).upper().strip()[0]
media=num//quantidade
print(f'Você digitou {quantidade} números e a Média foi {media}')
|
from configdb.meta import app
from flask import make_response
class DecodeException(Exception):
pass
class InvalidPath(Exception):
pass
class NotALeaf(Exception):
"""trying to access a branch node in leaf context"""
pass
class HttpException(Exception):
def __init__(self, message, code=400, *... |
import os
os.environ["KMP_BLOCKTIME"] = "0"
os.environ["KMP_AFFINITY"] = "granularity=fine,verbose,compact,1,0"
import tensorflow as tf
import time
from dataset import Dataset
from model import FloWaveNet
from hparams import hparams
import argparse
import numpy as np
from utils import fp16_dtype_getter, average_gradie... |
#SOS
import RPi.GPIO as GP,time
GP.setmode(GP.BOARD)
GP.setup(11,GP.OUT)
#Defining dot
def dot():
GP.output(11, True)
time.sleep(0.5)
GP.output(11, False)
time.sleep(0.5)
dot()
#Defining dash
def dash():
GP.output(11, True)
time.sleep(2)
GP.output(11, False)
time.sleep(0.5)
dash()
#Def... |
LANGUAGE = {
'cpp' : 0,
'java' : 1,
'python' : 2
}
PART = {
'backend': 0,
'frontend': 1
}
CAREER = {
'junior': 0,
'senior': 1
}
SOUL = {
'pizza': 0,
'chicken': 1
}
db = [[[[[] for _ in range(2)] for _ in range(2)] for _ in range(2)] for _ in range(3)]
def binary_search (target, l... |
import requests
# Globals and Constants
SOLR_URL = 'https://solr-dev.monarchinitiative.org/solr/golr/select'
def main():
result_docs = get_causal_disease_gene_assocs()
get_disease_phenotype_list(result_docs)
for key, value in result_docs.items():
print("{}\t{}\t{}\t{}\t{}".format(
... |
from django.core.validators import MaxValueValidator,MinValueValidator,EmailValidator
from django.db import models
class User(models.Model):
name=models.CharField(max_length=100)
age=models.IntegerField(blank=True,null=True,validators=[MaxValueValidator(150),MinValueValidator(0)])
email=models.CharField(max_length=... |
import numpy as np
from sklearn.linear_model import SGDClassifier
clf = SGDClassifier(loss="log", alpha=0.1, max_iter=100, shuffle=True, fit_intercept=True)
classes = []
def strtonum(x):
if x not in classes:
classes.append(x)
return classes.index(x)
data = np.loadtxt("./iris.data", delimiter=',', con... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 11 23:41:56 2020
@author: aakan
"""
from keras.models import load_model
#from keras.models import Sequential
#import cv2
import numpy as np
#import os
import argparse
from PIL import Image
ap = argparse.ArgumentParser()
ap.add_argument("-i","--image",required = True,help... |
import threading
from config import processing_unit
import csv
import pyOpenBCI
class EEGStreaming(processing_unit):
def __init__(self, file_queue):
super().__init__()
self._file_queue = file_queue
self._stream_data = []
self._board = pyOpenBCI.OpenBCICyton(daisy=True)
self.... |
import os
class EnvironConfig:
APP_ENVIRONMENT = os.environ.get("APP_ENVIRONMENT", "DEVELOPMENT")
FLASK_APP_SECRET = os.environ.get("FLASK_APP_SECRET", "thisissecrectkey") |
import sys
import os
import pandas as pd
import csv
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import networkx as nx
import spaligner_parser
from gfa_parser import gfa_to_G
import graphs
import clustering
def tsv_to_sets(tsv, min_component_size=3):
clusters = set()
with open(tsv, 'r') as f... |
from aiohttp import web
from aiohttp_example import signals
from aiohttp_example.apps.say_hello.views import say_hello_handler
def init_app(argv: list[str]) -> web.Application:
app = web.Application()
app.add_routes([
web.get('/', say_hello_handler),
web.get('/{name}', say_hello_handler),
... |
import sys,os
def get_file(name):
fn = '%s\\%s.jack' % (sys.path[0],name)
if os.path.isfile(fn):
return open(fn,"r")
if __name__ == '__main__':
#n = input('File/Folder name:')
n = "Square"
f = get_file(n)
if not f:
sys.exit()
comment = False
for line in f:
pos,length = -1,len(line)-1
s... |
# from this tutorial
# https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-1-5-contextual-bandits-bff01d1aad9c
import tensorflow as tf
import numpy as np
import tensorflow.contrib.slim as slim
learn_rate = 0.001
total_episode = 10000
e = 0.1
class ContextualBandit():
def __init... |
import numpy as np
from PIL import Image as pil
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
data = np.array(pil.open("original.bmp"))
data = data/np.max(data)
x,y=np.meshgrid(np.linspace(0,data.shape[1],data.shape[1]),np.linspace(0,data.shape[0],data.shape[0]))
def twoDgaussian(X,wx,wy,x0,y0... |
__author__ = 'thorwhalen'
def show(d, nlines=None, cols=None):
if nlines is None:
nlines = len(d)
if cols is None:
cols = d.columns
if isinstance(cols, str):
cols = [cols]
print(d[:nlines][cols].to_string())
def sw(df, up_rows=10, down_rows=5, left_cols=4, right_cols=3, retur... |
# coding=utf-8
"""
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays.
The overall run time complexity should be O(log (m+n)).
"""
class Solution:
# @param {integer[]} nums1
# @param {integer[]} nums2
# @return {float}
@staticmethod
... |
# Generated by Django 2.0.5 on 2018-10-24 05:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('onlineapp', '0002_studentscore'),
]
operations = [
migrations.CreateModel(
name='Question',
fields=[
... |
import peewee
from models import Supplier, Goods
from data import supplier_list, goods_list
def save_model():
for supplier in supplier_list:
supplier_obj = Supplier()
supplier_obj.name = supplier["name"]
supplier_obj.address = supplier["address"]
supplier_obj.phone = supplier["pho... |
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pathlib import Path
from pants.testutil.pants_integration_test import PantsIntegrationTest, ensure_daemon
from pants.util.contextutil import temporary_dir
class SchedulerIntegratio... |
import os.path
import pickle
class Rank:
def __init__(self):
self.file = "rank.dat"
if os.path.isfile(self.file):
f = open('rank.dat', 'rb')
flist = pickle.load(f)
f.close()
else:
flist = []
self.ranklist = flist
def save(self):
... |
import requests
from bs4 import BeautifulSoup as b_soup
from random import randint
txt_file = '/home/marc/git/onid/sudoku.txt'
scrp_url = 'https://nine.websudoku.com/?level='
def get_diff(d):
d = int(d)
if d == 1:
return 'easy'
if d == 2:
return 'medium'
if d == 3:
return 'ha... |
from dateutil import parser as DateParser
from config.database import db
from utils.log import logger_set
from exceptions.device import *
from exceptions.account import *
import random
import string
import jwt
import hashlib
import datetime
import base64
from config.log import LOG_DATABASE_FILE
logger = l... |
from django.shortcuts import render, get_object_or_404
from django.contrib.auth.models import User
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated, IsAdminUser
from rest_framework.response import Response
from base.models import Brand, CarModel... |
# WAP to implement bank account class which supports Deposit and Withdraw methods.
# -[Hint] Auto generate account number, by taking one class attribute
class BankAccount:
accountNumber = 1
minAccountBalance = 1000
def __init__(self, initialBalance):
self.__balance = initialBalance
self._... |
import pandas as pd
previsores = pd.read_csv('entradas-breast.csv')
classe = pd.read_csv('saidas-breast.csv')
from sklearn.model_selection import train_test_split
previsores_treinamento,previsores_teste,classe_treinamento,classe_teste = train_test_split(previsores,classe,test_size=0.25)
import keras
from ke... |
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 15 21:55:26 2020
@author :
"""
class State :
color_dict = dict()
current_level = list() #shows how the level looks currently
goal_level = list() #shows how the goal level looks
GoalDependency = dict() #dictionary of dependent goal locations .. {loca... |
from setuptools import setup, find_packages
with open('requirements.txt') as f:
install_requires = f.read().strip().split('\n')
# get version from __version__ variable in labour_welfare/__init__.py
from labour_welfare import __version__ as version
setup(
name='labour_welfare',
version=version,
description='Labou... |
def prime_factors():
prime=[]
for n in range(2,21):
for i in range(2,21):
if(n%i==0):
if(i==n):
continue
else:
break
else:
if(i==20):
prime.append(n)
else:
continue
return prime
if __name__=="__main__":
print prime_factors() |
#!/usr/bin/python
import time
import operator
import sys, re, os
from textblob import *
# gensim modules
from gensim import utils
from gensim.models.doc2vec import LabeledSentence
#from gensim.models import Doc2Vec
from gensim.models import *
# numpy
import numpy
# random
from random import shuffle
# classifier
fr... |
n, k = list(map(int, input().split()))
a = list(map(int, input().split()))
charged = int(input())
a.pop(k)
y = sum(a) // 2
if y == charged:
print('Bon Appetit')
else:
print(charged - y)
|
# -*- coding: utf-8 -*-
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("echo", help="echo the string you use here", type=str)
parser.add_argument("batch", help="batchsize", type=int)
parser.add_argument("input_address", help="the address of input images or videos", type=str)
args = parser.pa... |
import cattura_immagine
import elabora_immagine
import invio_web_server as invio
import data_ora as d
#Cattura immagine tramite scatto con la PiCamera
cattura_immagine.get_img()
#Elaora l'immagine con un algoritmo OpenCV
elabora_immagine.trova_mosche()
#Invia il risultato della foto sul server
url_foto = 'Risultati... |
from django.db import models
class Category(models.Model):
name = models.CharField(max_length=100)
def __str__(self):
return self.name
class Photos(models.Model):
category = models.ForeignKey(Category, on_delete=models.SET_NULL, null=True)
image = models.ImageField(upload_to='images/photos'... |
firstname = 'syed'
lastname = 'ahemd'
age = int(input("enter your age:"))
fruits = ["orange", 'mango', 'banana', 'melon']
sequences = [1,2,3,4,5,6,7,8,9]
print ('today is the 1st day of programming')
print (firstname + " " + lastname)
print(25, firstname + " " + lastname)
print(fruits[0])
for value in fruits:
pr... |
class Dog(object):
def __init__(self,name):
self.name = name
def game(self):
print("%s 奔奔跳跳玩耍" % self.name)
class XiaoTianQuan(Dog):
def game(self):
print("%s 飞到天上去玩耍" % self.name)
class Person(object):
def __init__(self,name):
self.name = name
def game_with_dog(se... |
import torch
import itertools
from torch.utils.data import Dataset
from conllu import parse_incr
from ...utils.sequences import pad_to_max
class UDRNNDataset(Dataset):
I2L = [
'ADJ',
'ADP',
'ADV',
'AUX',
'CCONJ',
'DET',
'NOUN',
'NUM',
'PART... |
import socket
import time
import random
import struct
import json
import base64
a = []
floatList = [random.random() for _ in range(3)]
print(floatList)
buf = struct.pack('%sf' % len(floatList), *floatList)
print(buf)
code = base64.b64encode(buf)
print(code)
code = code.decode()
print(code)
a.append(cod... |
__author__ = 'Daoyuan'
from BaseSolution import *
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
def toString(self):
tmp = self
ret = ""
while tmp is not None:
ret = ret + ' ' + str(tmp.val)
tmp = tmp.next
r... |
#!/usr/bin/env python3
import os
import json
from threads.thread import Thread
__author__ = "Dibyo Majumdar"
__email__ = "dibyo.majumdar@gmail.com"
__all__ = [
'TimeManager',
'TaskManager'
]
# ROOT_DIRECTORY
ROOT_DIRECTORY = os.path.normpath(os.path.join(__file__, '../data'))
class TimeManager():
"... |
import os
import discord
import motor.motor_asyncio
import nest_asyncio
from discord.ext import commands
nest_asyncio.apply()
mongo_url = os.environ.get("mongo")
cluster = motor.motor_asyncio.AsyncIOMotorClient(mongo_url)
levelling = cluster["discord"]["levelling"]
bot_channel = 813687679014797332
talk_channels = ... |
from collections import deque
c_current = "red"
c_child = "green"
c_visited = "black"
visited = []
adj_list = []
result = deque()
def dfs(node):
try:
visited[node] = 1
except IndexError:
return
global result, c_current, c_child, c_visited
result.append([node + 1, c_current])
for neighbor in adj_list[node]:
... |
import threading
VALUE=0
gLock=threading.Lock()
def add_value():
global VALUE
#锁只用在修改全局变量的地方，访问不需要加锁
gLock.acquire()
for x in range(10):
VALUE +=1
print("="*10)
print(VALUE)
gLock.release()
print('value:%d' %VALUE)
def main():
for x in range(2):
t=threading.T... |
import numpy as np
def rmse(true,pred):
if len(true) != len(pred):
print("true and pred do not have same length")
exit
sum = 0
for i in range(len(true)):
sum = np.sum((true[i]-pred[i])*(true[i]-pred[i]))
return np.sqrt(sum/len(true))
def average(pred):
sum = np.zeros(pred[0]... |
# Generated by Django 3.2.4 on 2021-06-17 12:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('adminapp', '0011_auto_20210617_1500'),
]
operations = [
migrations.RemoveField(
model_name='chats',
name='is_pub_black',
... |
# coding:utf-8
'''
添加新徽章：
1、加名字
2、加简介
3、加等级
4、加条件
如果徽章和成就无关：
5、加条件对应的成就等级
6、加赋值0
7、加跳过语句
搜索以上步骤，然后改，就可以了。
'''
import time
import datetime
import random
from base.models import User, Idea, Achievement, Gooded, Collected, Looked, Badge
from django.core.cache import cache
achievementindex = {}
achievementindex['1'] = "连... |
# -*- coding: utf-8 -*-
# @Time: 11/9/18 10:21 AM
# @Author: Weiling
# @File: split_frames.py
# @Software: PyCharm
import cv2
i = '01'
vidcap = cv2.VideoCapture('videos/ISLab/ISLab-' + str(i) + '.mp4')
success, image = vidcap.read()
count = 0
while success:
if count % 100 == 0:
img_path = 'videos/ISLab_c... |
import unittest
import unittest.mock as mock
import splendor_sim.interfaces.card.i_card as i_card
import splendor_sim.interfaces.card.i_card_reserve as i_card_reserve
import splendor_sim.interfaces.coin.i_coin_reserve as i_coin_reserve
import splendor_sim.interfaces.coin.i_coin_type as i_coin_type
import splendor_sim.... |
import os
import json
import argparse
import logging
import logging.config
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
from torch.utils.data import DataLoader
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision... |
from pandas.plotting._matplotlib.boxplot import boxplot as boxplot, boxplot_frame as boxplot_frame, boxplot_frame_groupby as boxplot_frame_groupby
from pandas.plotting._matplotlib.converter import deregister as deregister, register as register
from pandas.plotting._matplotlib.hist import hist_frame as hist_frame, hist_... |
import BaseHTTPServer
class RequestHandler(BaseHTTPServer.BaseHTTPRequestHandler):
usage = """<html>
<body>
<h1>TaskMuxer v0.1</h1>
<table border="1">
<tr><th>Command</th><th>Description</th></tr>
<tr><td><a href="/task">task</a></td><td>Get current task</td></tr>
<tr><td><a href="/time">time</a></td><td>Get time re... |
a, b, c, d = map(int, input().split()) #คือการให้ค่าตัวแปรหลายตัวในทีเดียว map(func,*iterible(เช่น list)) ตรงส่วนของfunctionบอกแค่ชื่อพอ
one, two, three, four = 0, 0, 0, 0
if a < b:
if c > b:
one, two, three = a, b, c
else:
if a < c:
one, two, three = a, c, b
else:
... |
# Copyright 2021 Google LLC.
#
# 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 the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
import os
import config
import config.hrnet
import config.pretrain
USE_GPU = config.USE_GPU
NUM_JOINTS = config.NUM_JOINTS
# (True, False) for (END_TO_END, SOFTARGMAX) is not possible
END_TO_END, SOFTARGMAX = (True, True)
# Term-wise loss coefficients
LOSS_COEFF = {
'hrnet_maps': 10,
'cycl_martinez': {
... |
"""
Make some synthetic FTG data
"""
import logging
logging.basicConfig()
import numpy
import pylab
from fatiando.data.gravity import TensorComponent
from fatiando.utils.geometry import Prism
# Create a synthetic body
prisms = []
prism = Prism(dens=1000, x1=-100, x2=100, y1=-100, y2=100, z1=500, z2=700)
prisms.app... |
import argparse
import logging
import os
import config
import constants
import engine
import packet_common
def log_level(string):
string = string.lower()
if string == 'critical':
return logging.CRITICAL
elif string == 'error':
return logging.ERROR
elif string == 'warning':
retu... |
import os
import manifest
import unittest
from manifest.tasks import convert_bash_colors
from manifest.tasks import sanitize_keys
from manifest.tasks import populate_playbooks
from manifest.tasks import run_ansible_jeneric
from manifest.tasks import run_ansible_playbook
from manifest.tasks import run_ansible_playbook_m... |
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--head', dest='head')
parser.add_argument('--tail', dest='tail')
parser.set_defaults(head=None, tail=None)
args = parser.parse_args()
print args.head, args.tail
|
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 22 12:32:36 2021
@author: rahul
"""
car = {
"brand": "Ford",
"model": "Mustang",
"year": 1964
}
car.pop("brand")
print(car) |
import sys
def sprint(x):
sys.stdout.write(str(x))
sys.stdout.flush()
def sortReverse(lst):
srt = sorted(lst)
rlst = srt[: :-1]
return rlst
#This function is copied from:
#http://code.activestate.com/recipes/252143-invert-a-dictionary-one-liner/
def dictinvert(d):
inv = {}
for k, v in d.i... |
from socket import *
import os
serverSocket = socket(AF_INET, SOCK_STREAM)
serverSocket.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
serverSocket.bind(('127.0.0.1', 9100))
serverSocket.listen(1);
def parse_headers (data):
headers = {}
lines = data.splitlines()
for l in lines:
parts = l.split(": ", 1)... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
#django.contrib
from django.contrib import admin
#scipycon
from .models import Talk
class TalkAdmin(admin.ModelAdmin):
list_display = ('title', 'speaker', 'topic', 'duration', 'audience', 'approved', 'submitted')
list_filter = ('approved', 'submi... |
from rest_framework import viewsets
from rest_framework.response import Response
from rest_framework import permissions, status
from django.contrib.auth import get_user_model
from .serializers import ProfileSerializer, SellerSerializer
from .models import SellerProfile, Profile
User = get_user_model()
class ProfileV... |
import os
# Function For Read File
def searchNFG(filename):
with open (filename , "r") as f:
filecontent = f.read()
if val in filecontent.lower():
return True
else:
return False
if __name__ == "__main__":
# List All Files and Direcatory
dir_content = os.... |
def plotSmooth(deliveries,k,Daily_Total,FactOpen,FactClose,nOptimal,plotType):
import matplotlib.pyplot as plt
import numpy
import pylab
from descartes import PolygonPatch
import itertools
pylab.figure(figsize=(12, 9))
ax1 = pylab.subplot(111)
ax1.spines["top"].set_visible(False... |
from models.discriminator import Discriminator
from torchaudio.transforms import Spectrogram
from models.autoencoder import AutoEncoder
from trainers.base_trainer import Trainer
from models.generator import Generator
from torch.optim import lr_scheduler
from utils.metrics import snr, lsd
from torch import nn
import num... |
# Savitzky-Golay: show convolution coeffs on plot
import numpy as np
import matplotlib.pyplot as plt
M = 3 # window width is 2M+1
N = 2 # fitting polynomial degree
n = 10
# d is impulse sequence
d = np.concatenate([np.zeros(M), [1], np.zeros(M)])
impulse_domain = np.arange(-M,M+1)
print('d =', d)
a = np.polyfit(impul... |
dic = {'애플': 'www.apple.com',
'파이썬': 'www.python.org',
'마이크로소프트': 'www.microsoft.com'}
for k, v in dic.items():
print("{0}: {1}".format(k, v))
|
import time
import hashlib
import hmac
import base64
import json
import urllib.request as urllib2
import ssl
class KrakenFuturesAPIClient:
def __init__(self, api_keys, timeout=10, checkCertificate=True):
self.api_keys = api_keys
self.apiPath = "https://futures.kraken.com/derivatives"
self.... |
from bmtk.simulator.filternet.pyfunction_cache import py_modules
class Cell(object):
def __init__(self, node):
self._node = node
self._gid = node.gid
self._node_id = node.node_id
self._lgn_cell_obj = None
@property
def gid(self):
return self._gid
@property
... |
import cv2 as cv
import numpy as np
# Original
image = cv.imread("./Resources/Photos/cats.jpg")
cv.imshow("Original", image)
# blank
blank_img = np.zeros(image.shape, dtype="uint8")
blank_img2 = np.zeros(image.shape, dtype="uint8")
# Gray
gray_img = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
cv.imshow("Gray", gray_img)
... |
#!/usr/bin/python3
import argparse
import csv
import sys
import os.path
# ./merge.py -a file1 -b file2 -1 name1 -2 name2 -c name_after
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--file1",
required=True,
help="provide filename for f... |
from django.urls import path
from .views import TicketListView, TicketCreateView, TicketDetailView, TicketUpdateView, TicketDeleteView
app_name = 'tickets'
urlpatterns = [
path('', TicketListView.as_view(), name='ticket-list'),
path('<int:pk>/', TicketDetailView.as_view(), name='ticket-detail'),
path('<... |
import RPi.GPIO as GPIO
import time
import sys
brakePin = 10
GPIO.setmode(GPIO.BOARD)
GPIO.setup(brakePin, GPIO.OUT)
p = GPIO.PWM(brakePin, 50)
p.start(8)
print("Wind Turbine Brake Calibration Program")
print("This program will help you understand the range of brake pressure values and their effect on the turbine.")... |
#!/usr/bin/python
import json
import socket
import sys
import time
import xml.etree.ElementTree as ET
import homefarm as hf
###############################################################################
#
# these functions handle reporting for the report generator
def format_eta(eta):
eta = float(eta)
if et... |
# -*- coding: utf-8 -*-
#
# @Version: python 3.7
# @File: process_all_seed_to_db.py
# @Author: ty
# @E-mail: nwu_ty@163.com
# @Time: 2020/12/30
# @Description:
# @Input:
# @Output:
#
from tqdm import tqdm
from Fuzzer.utils import get_file_abspath_list_from_dir, read_file, write_file, get_id, round_up
from Fuzzer.fuzz... |
class Solution:
def expand(self, S: str) -> List[str]:
"""Backtracking.
Running time: O(k) where k is the length of result.
"""
def backtracking(res, word, l):
if not l:
res.append(word)
else:
for c in l[0]:
... |
"""
Project Initialization package.
Copyright (c) 2018 Qualcomm Technologies, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the
limitations in the disclaimer below) provided that the following conditions are met:
* Redistribution... |
#!/usr/bin/python
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sys
from colorama import Fore, Style
try:
user_county = sys.argv[1]
except:
print(Fore.RED+"I need the county name"+ Style.RESET_ALL)
CHROME_PATH = '/usr/bin/google-chrome'
CHROMEDRIVER_PATH = '/usr/... |
"""
This is a module to quickly call SQL databases into the rd_SQL function writen by mike by kwargs
Author: matth
Date Created: 28/02/2017 1:12 PM
"""
from __future__ import division
from core.ecan_io.SQL_databases.Wells_database import wells_db
from core.ecan_io.SQL_databases.sql_arg_class import sql_arg
|
from django.contrib import admin
from django_summernote.admin import SummernoteModelAdmin
# Register your models here.
from campaigns.models import (
Category,
Campaign,
Organization,
)
class CampaignAdmin(SummernoteModelAdmin):
summernote_fields=('description',)
admin.site.register(Campaign)
admin.site.register... |
# -*- coding=utf-8 -*-
from __future__ import absolute_import, division, unicode_literals
import functools
import logging
from lxml import etree
from smarthome.config.parser.common.logic_expression import parse_logic_expression
from smarthome.config.parser.common.procedure import eval_procedure
logger = logging.getL... |
#!/usr/bin/python
print "hello world!"
print;
from Genesis2.XMLCrawler import XMLCrawler
c = XMLCrawler()
print c;
c.read_xml('FPGen.xml')
#c.goto_subinst('top_FPGen');
c = c.get_top()
print c;
print "iname=",c.iname()
print "mname=",c.mname();
print "bname=",c.bname();
print "sname=",c.sname();
print "checkpoi... |
import pandas as pd
import numpy as np
from sklearn.manifold import TSNE
from sklearn.preprocessing import LabelEncoder
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
# https://github.com/llSourcell/visualize_dataset_demo/blob/mast... |
from django.urls import path
from api.views import PostApiview, PostDetailview, PostDeleteApiview, PostUpdateApiview
urlpatterns = [
path('posts/', PostApiview.as_view(), name='blog-api'),
path('posts/<int:pk>', PostDetailview.as_view(), name='blog-detail'),
path('posts/delete/<int:pk>', PostDeleteApiview... |
import sys
def minDist(arr, x, y):
arrLen = len(arr);
minimunDistance = arrLen + 1;
firstPositionIndex = sys.maxsize;
firstValueFound = sys.maxsize;
for i in range(arrLen):
if (arr[i]==x) or (arr[i]==y):
if (firstPositionIndex == sys.maxsize) or (arr[i] == firstValueFound):
... |
# from poker.card import Card #CREATING DEPENDENSE...!!!
import random
class Deck():
def __init__(self): # (self, shuffle_func) this is how to decouple and give it independancy
self.cards = [] #self._cards
def __len__(self):
return len(self.cards)
def add_cards(self, ... |
from django.contrib import admin
# Register your models here.
from django.contrib import admin
from .models import Personal_detail
# Register your models here.
class Personal_detail_Admin(admin.ModelAdmin):
list_display = ['owner','Fullname', 'Aadhar_number', 'Date_of_birth', 'Father_name', 'District', 'roll_num... |
# Reference : Setup script documentation
# https://setuptools.readthedocs.io/en/latest/setuptools.html
from setuptools import setup, find_packages
def get_requirements(filename):
with open(filename) as f:
requirements = f.read().splitlines()
return requirements
setup(name='codeTime',
version... |
from model import Base, Users
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///person.db?check_same_thread=False')
Base.metadata.create_all(engine)
DBSession = sessionmaker(bind=engine)
session = DBSession()
def add_user(full_name, password, email, nicknam... |
import simpy
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import random
class Part:
def __init__(self, id):
self.id = id
self.step = 0
self.process_list = ['process1', 'process2', 'process3', 'sink']
class Source:
def __init__(self, env, monitor, ... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-28 15:42
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('app', '0006_remove_category_choises'),
]
operation... |
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