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import parser as dsp
import csv
import argparse
import copy
from collections import UserDict
class DefDict(UserDict):
def __getitem__(self,k):
if k not in self.data:
self[k]=(k,"NONE")
return self.data[k]
parser = argparse.ArgumentParser(description="Reads DiscordScript files")
parser.add_argument("script",ty... |
from django.db import models
class repair_cmpt(models.Model):
class_room = models.CharField(max_length=255) #ห้องเรียน
name_aj = models.CharField(max_length=255)
slug_repair = models.SlugField(max_length=255) #ห้องที่ซ่อม
No_cmpt = models.CharField(max_length=2) #หมายเลขเครื่อง
img_cmpt = models.Ch... |
import torch
import torch.nn as nn
import copy
import torch.quantization.quantize_fx as quantize_fx
from torch.utils.mobile_optimizer import optimize_for_mobile
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
repo = 'alantess/vigilant-driving:main/1.0.75'
self.model =... |
from django.db import models
from django.utils import timezone
# Create your models here.
class Product(models.Model):
title = models.CharField(max_length=64)
description = models.TextField()
price = models.DecimalField(max_digits=6, decimal_places=2)
# ruleid:use-decimalfield-for-money
old_price ... |
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import gae_ts_mon
import webapp2
from handlers.login import Login
from handlers.query import Query
handlers = [
(r'/login', Login),
(r'/query(/.*)?', Q... |
import os
import glob
from skimage import io, color, transform
import urllib.request
import tarfile
import numpy as np
def download_extract_data():
url = "http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz"
if not os.path.isfile("lfw-funneled.tgz"):
print("Downloading: " + url)
urllib.request.ur... |
from euler_lib import prime_factorization
def ans():
n = 600851475143
table = prime_factorization(n)
return str(table[-1])
if __name__ == '__main__':
print ans()
|
print('\033[30m=+'*10, ' GERADOR DE PA 2.0 ', '+='*10)
ptermo = int(input('Primeiro termo: '))
razao = int(input('Razão da PA: '))
pa = ptermo
contagem = 1
resposta = 10
tot = 0
print(f'PA do número {ptermo}(10 termos): \nINÍCIO -> ', end='')
while resposta != 0:
tot += resposta
while contagem <= tot:
p... |
#CSC687 Data Trip Project
import RPi.GPIO as GPIO
import spidev
import time
import json
import websocket
import random
from datetime import datetime
GPIO.setmode(GPIO.BOARD)
GPIO.setup(11, GPIO.OUT)
GPIO.output(11, False)
#Set Threshold for irrigation system
threshold = 100
#Open SPI bus
spi = spidev.SpiDev()
spi.o... |
from torchvision import transforms
import torch
from typing import List, Tuple
from PIL import Image
from torch.utils.data import Dataset
from enum import Enum, unique
import json
import os
import random
BASE_IMAGE_DIR = "/home/pdoyle/ssd/datasets/plant_disease/PlantVillage"
STDDEV = [0.192966, 0.170431, 0.207222]
MEA... |
import torch
import torch.nn as nn
import pytorch_lightning as pl
import torch.nn.functional as F
import torch.optim as optim
from models.ae.ConvLSTMCell import ConvLSTMCell
class deepSWE(pl.LightningModule):
def __init__(self, nf, in_chan, out_chan, future_frames=1, image_size=256):
super(deepSWE, self).... |
# Raspberry PI GoPro Pano No WiFi option Python file.
# Make sure your GoPro has autoexec.ash
import time
def set(property, value):
try:
f = open("/sys/class/rpi-pwm/pwm0/" + property, 'w')
f.write(value)
f.close()
except:
print("Error writing to: " + property + " value: " + value)
def setServo(angle):
set("ser... |
import os
import json
import re
from config import DATA_DIR, LEAGUE
def get_item_info(item_category, item_name):
with open(os.path.join(DATA_DIR, 'uniques.json')) as uniques_file:
uniques = json.load(uniques_file)
return uniques[item_category][item_name]
def get_mods_mask(item_info):
explici... |
"""The cnumber module."""
from .cnumber import ComplexNumber
from .exception import DisisionByNullException
__version__ = "0.0.1"
|
# coding: utf-8
# classmethod 与 staticmethod 的区别
"""
静态方法和类方法都可以通过 类名.方法名 或 实例.方法名 的形式来访问
其中静态方法没有常规方法的特殊行为 如绑定/非绑定/隐式参数等规则
而类方法的调用使用类本身作为其隐含参数,但调用本身并不需要显示提供该参数
"""
class A(object):
def instance_method(self, x):
print("calling instance_method instance_method(%s, %s)" % (self, x))
@classmethod
def class_method(... |
# -*- coding: utf-8 -*-
import time
import os
import socket
import configparser
from data_common.configure import constant
from data_common.designs.singleton import SingletonType
class Configure(metaclass=SingletonType):
CONFIG_FILE_PATH = os.path.dirname(__file__) + '/setting.ini'
def __init__(self):
... |
import numpy as np
import scipy.stats as stats
def calc():
n = 36
alpha = 0.005
mean_1 = 4.51
mean_2 = 6.28
std_1 = 1.98
std_2 = 2.54
t = (mean_1 - mean_2)/np.sqrt(std_1**2/n + std_2**2/n)
# хотим альтернативу mean_1 < mean_2
q_val = stats.t.ppf(q=alpha, df=n+n-1)
print('t_val... |
from flask import Flask, request, url_for, redirect, flash, render_template, jsonify, session
from flask_login.utils import login_user
from forms import TaskForm, loginForm, signUpForm
from models import User, taskDB
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from werkzeug.security import gen... |
# import torch
# from torch.optim.lr_scheduler import _LRScheduler
import math
class LR_Scheduler(object):
"""Learning Rate Scheduler
Step mode: ``lr = baselr * 0.1 ^ {floor(epoch-1 / lr_step)}``
Cosine mode: ``lr = baselr * 0.5 * (1 + cos(iter/maxiter))``
Poly mode: ``lr = baselr * (1 - iter/maxite... |
import personclass as pc
class Student(pc.Person):
def __init__(self):
pc.Person.__init__(self)
self.studentID = 0
self.favBooks = []
self.awards = []
self.subjects = []
def GetStudentID(self):
return self.GetStudentID
def GetAwards(self):
... |
import itertools
import collections
import functools
import re
from flex.exceptions import MultiplePathsFound
from flex.error_messages import MESSAGES
from flex.constants import (
PATH,
REQUEST_METHODS,
)
from flex.parameters import (
find_parameter,
merge_parameter_lists,
dereference_parameter_lis... |
import sys
import argparse
parser = argparse.ArgumentParser();
parser.add_argument("filename")
args = parser.parse_args();
filename = args.filename
data = open(filename,"r")
total = 0
for line in data:
line = (int(line) // 3) - 2
print line
total = total + line
print("the total fuel required is {}".forma... |
import json
import sys
if __name__ == "__main__":
myjson = sys.stdin.read()
sys.stdin.close()
jsond = json.loads(myjson)
author = None
if "username" in jsond[0]:
author = jsond[0]["username"]
else:
author = jsond[0]["user"]["username"]
if not author:
sys.stderr.wr... |
import redis
import time
import traceback
# How to publish a START:
# Start a redis client and publish START
#
# >redis-cli
# PUBLISH startScripts START
#
# OR by another startScripts
# r.publish('startScripts', 'START')
print "PlugInMaster.py STARTED"
def RedisCheck():
i = 0
try:
r = redis.Strict... |
from utils.utils import *
if __name__ == '__main__':
command = input("请输入命令(wc.exe [parameter] {file_name}):\n")
parse_command(command)
|
import asyncio
async def print_count(x):
for number in range(x):
print(number)
await asyncio.sleep(.5) #спать 5 сек
async def start(x):
coroutines = []
for number in range(x):
coroutines.append(
asyncio.create_task(print_count(x))
)
await async... |
"""
The number of inversions in a disordered list is the number of pairs of elements that are inverted (out of order) in the list.
[0,1] has 0 inversions
[2,1] has 1 inversion (2,1)
[3, 1, 2, 4] has 2 inversions (3, 2), (3, 1)
[7, 5, 3, 1] has 6 inversions (7, 5), (3, 1), (5, 1), (7, 1), (5, 3), (7, 3)
Given an array... |
def part_one():
step = 314
buf = [0]
pos = 0
val = 1
for i in range(1, 2018):
pos = (pos + (step % i)) % i
if pos + 1 == i:
buf.append(val)
else:
buf.insert(pos + 1, val)
pos += 1
assert buf[pos] == val, buf[pos]
va... |
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.models import User, auth
from django.http import HttpResponse
from .models import video
import os.path
# Create your views here.
def home1(request):
if request.method == 'POST':
search = request.POS... |
import os,sys
import requests
def is_pythonista():
if 'Pythonista' in sys.executable:
return True
else:
return False
pythonista = is_pythonista()
if pythonista:
import console
import editor
def to_abs_path(*value):
import os, sys
if 'Pythonista' in sys.executable:
abs_path = os.path.join(os.path.expan... |
# -*- coding: utf-8 -*-
################################################################################################################
# @file: jjwxcbbscomments.py
# @author: HuBorui
# @date: 2016/12/05
# @version: Ver0.0.0.100
# @note:
# @修改日志
# @author：yongjicao
# @date：2017/9/12
# @note：修改评论存储方式为mysql
###########... |
__version__ = "$Id$"
#
# SVG Graphics
#
import svgtypes
import svgpath
class SVGGraphics:
def __init__(self):
# current point
self.cpoint = 0, 0
# current path
self.cpath = svgpath.Path()
# current transformation matrix (CTM)
self.ctm = svgtypes.TM()
... |
# -*- coding: utf-8 -*-
import ast
from pathlib import Path
class Index(object):
def indexation(self, file):
raise NotImplementedError()
def getTfsForDoc(self, doc):
raise NotImplementedError()
def getTfsForStem(self, stem):
raise NotImplementedError()
def getStrDoc(self, d... |
import re
from Context.Events.BaseEvent import BaseEvent
from Context.Util.Map.Map import Map
from Context.Events.EventMaps.TextCommandsMap import TextCommandsMap
from Context.Database.Repository.AdminRepository import AdminRepository
from Context.Util.ArgumentParser.ArgumentParser import ArgumentParser
from Context.... |
# Generated by Django 3.1.5 on 2021-01-28 18:50
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('carwashapp', '0017_auto_20210128_2244'),
]
operations = [
migrations.RemoveField(
model_name='employee',
... |
#!/usr/bin/env python
import os
import sedna
import sys
PROJECT_ROOT = "/simulation_data"
LOG_PATH = "/simulation_data/data/log"
XQUERY_LIB_PATH = "/simulation_data/glooper/lib/python"
DATA_PATH = "/simulation_data/data/db"
try:
#configuration file must provide the value for simid, version_string and query_label... |
# def lin():
# print("-="*20)
# lin()
# def msg(msg):
# print("-="*30)
# print(f"{msg:^60}")
# print("-="*30)
# msg("Bill")
# msg("Estudando Python")
# def soma(a, b):
# s = a + b
# print(f"{a} + {b} = {s}")
# soma(2, 3)
# soma(b=2, a=3)
# def contador(*n): # parâmetro empacotado
# ... |
#!/usr/bin/python3
import sys
from math import sqrt
def update(existingAggregate, newValue):
(count, mean, M2) = existingAggregate
count += 1
delta = newValue - mean
mean += delta / count
delta2 = newValue - mean
M2 += delta * delta2
return (count, mean, M2)
(last_key, last_val) = (None,... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 20 10:48:10 2018
@author: bcheung
"""
import pandas as pd
from keras.layers import Input, Dense
from keras.models import Model
from keras.callbacks import TensorBoard
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import minmax_scale
clas... |
class EvenNumbers:
def __init__(self):
self.number = 0
def __next__(self):
self.number += 2
if self.number > 100: # najwyraźniej, nie chcemy liczb parzystych większych niż 100 :)
raise StopIteration
return self.number
def __iter__(self):
return self
... |
# -*- coding: utf-8 -*-
"""
"""
__author__ = "Jon-Mikkel Korsvik & Petter Bøe Hørtvedt"
__email__ = "jonkors@nmbu.no & petterho@nmbu.no"
from .island import Island
from .visualization import Visuals
from .landscape import (
Jungle, Ocean, Savanna, Mountain, Desert
)
from .animals import Herbivore, Carnivore
imp... |
# Generated by Django 3.1.6 on 2021-03-23 20:49
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('weallcode', '0007_auto_20201229_1542'),
]
operations = [
migrations.AddField(
model_name='associateboardmember',... |
"""Wrapper that makes an algorithm warm-starteable by observing trials from different tasks.
The wrapper adds a `task_id` dimension to the search space, and uses the value of `task_id` to
differentiate between the current "target" experiment (`task_id==0`) and the other experiments
from the knowledge base (`task_id>0`... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Registration',
fields=[
('id', models.AutoField... |
import convert
from convert import lbs_to_kg
out=lbs_to_kg(78)
print(out)
#print(convert.lbs_to_kg(78))
|
import pandas as pd
import sys
## need change
#sys.path.append(r"C:\Users\NUC Accounting\PycharmProjects\pythonProject\AUTOPROCESSOR\library\\")
sys.path.append(r"C:\Users\admin\PycharmProjects\open_cv\Eccang\\")
#"https://eccang.yuque.com/books/share/df2ca396-46f5-4a51-a33e-73794059bb1d"
import credential
import requ... |
"""
问题：
行交换，然后取反
解法：
class Solution(object):
def flipAndInvertImage(self, A):
for row in A:
for i in xrange((len(row) + 1) / 2):
In Python, the shortcut row[~i] = row[-i-1] = row[len(row) - 1 - i]
helps us find the i-th value of the row, counting from the right.
... |
#!/usr/bin/python3
# в QTDesigner создаем clock.ui
# pyuic5 clock.ui -o clock.py
# pip3 install -r requirements.txt
import sys, json, requests, os
from datetime import datetime
import paho.mqtt.client as mqtt
from PyQt5 import QtWidgets, QtCore, QtGui
import psycopg2 as DB
import clock
clPRESSURE = '#B8860B'
clHUMIDI... |
import utils
import numpy as np
from plot_utils import color_abundance_map, plot_error, save_image, plot_endmembers
import matplotlib.pyplot as plt
def unmix_segments(X_img, segments, seg_labels, n_endmembers):
X = np.empty((len(seg_labels), X_img.shape[2]))
for seg in seg_labels:
X[seg,:] = X_img[segm... |
'''Owner commands'''
import modules.commands as commands
import os
import json
import git
import sys
import discord
import asyncio
with open("database/adminweenie.json","r") as infile:
admin = json.loads(infile.read())
with open("database/storage.json", "r") as infile:
storage = json.loads(infile.read())
wit... |
import numpy as np
from PSF_tools.gaussian_kernel_3D import gaussian_kernel_3D
from PSF_tools.apply_PSFvar3Dz import apply_PSFvar3Dz
def blur_alt_z(I, Nh, Nx, Ny, Sx, Sy, Sz, Phiy, Phiz, sigma, z):
h_z = gaussian_kernel_3D(((Nh-1)/2).astype(int), [Sx[z], Sy[z], Sz[z]], [Phiy[z],Phiz[z]])
Iblurz = apply_PSFvar... |
from datetime import timedelta
from django.conf import settings
from django.core.management.base import BaseCommand
from django.db.models import F
from cart.models import Cart
class Command(BaseCommand):
help = 'Deletes old carts of anonymous users'
def handle(self, *args, **options):
'''
O... |
def IsPenta(x):
if ((24*x+1)**(1/2) + 1 )%6 ==0:
return True
return False
def Pentagon(n):
return n*(3*n-1)/2
i = 1
while True:
for j in range (1,i):
summ = Pentagon(i) + Pentagon(j)
subs = abs(Pentagon(i)- Pentagon(j))
if IsPenta(summ)==True and IsPenta(subs) == True... |
#** Functions **#
def assert_keys(form, keys):
"""assert keys exists in the form"""
assert isinstance(form, dict) and isinstance(keys, list)
# ensure all keys are valid
for key in keys:
if key not in form:
raise KeyError('invalid fields')
# error if number of keys is off
if... |
# Generated by Django 2.2.7 on 2019-12-02 23:02
from django.db import migrations, models
import lab.models
class Migration(migrations.Migration):
dependencies = [
('lab', '0003_auto_20191202_1826'),
]
operations = [
migrations.AlterField(
model_name='persona',
na... |
from collections import defaultdict
from typing import List
class MostCommonWord:
def mostCommonWord(self, paragraph: str, banned: List[str]) -> str:
for c in paragraph:
if c in "!?',;.":
paragraph=paragraph.replace(c, ' ')
counts=defaultdict(int)
for word in p... |
from datetime import datetime
import math
from math import pi, sin, cos, sqrt
from matplotlib.lines import Line2D
import matplotlib.patches as mpatches
from matplotlib.patches import Arc, Circle, Ellipse, Polygon, Wedge
import matplotlib.pyplot as plt
import numpy as np
from typing import List
PI = math.pi
# DEFINE... |
# Calculate Information Gain
import logging
import numpy as np
logger = logging.getLogger(__name__)
def calculate_differential_entropy_norm(sigma, base=2) -> float:
""" Differential entropy of a normal distribution with standard deviation sigma is: 0.5log(2*pi*e*sigma*sigma)
:param sigma: standard deviati... |
"""
Sets all the parameter for training and evaluation.
For the datasettings see data/data_config.py
"""
import torch
import os
import numpy as np
import data.prepare_data as prepare_data
#In dataconfig some other important configurations are done
import data.data_config as dc
import re
import __main__
main_file = _... |
###################################################################
#Akshay Chekuri (andrewid: achekuri)
#driver.py
#README
#This file is the front end. It handles events and creates hitboxes
#for all the components of the circuit. This also calculates the
#colors of the voltages, etc. It basically handles user input
#... |
import curses, curses.panel
import time
from enum import Enum
import audio
# -----------------------------------------
# Types
# -----------------------------------------
class MainPanelMode(Enum):
HELP = 1
DETAILS = 2
# -----------------------------------------
# Global constants
# ----------------------... |
# transformation between polar and cartesian coordinates
import numpy as np
import jax.numpy as jnp
from jax import jit, partial
import dynamics
# initialize random polar coordinates with dimension dim
# TODO @Mathias please check if this is fine like that for random process
_rng = np.random.RandomState(1293... |
#!/usr/bin/env python3
from src.secretshare import SecretSharer
def main():
# instantiate a secret sharer
s = SecretSharer()
choice = input('What would you like to do?\n(1) Share a secret\n(2) Recover one\n')
if choice == '1':
n = int(input('\nEnter the number of desired shares: ... |
guess = str(input())
ListOfNames = []
namecount = 0
Name = input('-->')
tf = True
while namecount < 10:
ListOfNames.append(Name)
print(ListOfNames)
Name = input('-->')
namecount += 1
ListOfNames = sorted(ListOfNames)
print(ListOfNames)
print("Enter a name to search for or 'End' to en... |
#!/usr/bin/python
'''
Calculate the mean and standard deviation of the following list:
Numbers = [1,2,3,5,88,99,55,33,41,52]
'''
Numbers = [1,2,3,5,88,99,55,33,41,52]
mean = sum(Numbers) / len(Numbers)
print(f"Mean = {mean}")
standardDeviation = (sum([(x - mean) ** 2 for x in Numbers]) / len(Numbers)) ** (1 / 2... |
'''
Copyright 2017 Bio-Rad Laboratories, 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 the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writi... |
#!/usr/bin/env python3
import sys
import socket
import selectors
import types
import mysql.connector as mysql
db = mysql.connect(
host = "localhost",
user = "cida",
passwd = "cida",
database = "cida"
)
cursor = db.cursor()
sel = selectors.DefaultSelector()
def accept_wrapper(sock):
conn, addr = ... |
import numpy as np
from numpy import pi
from scipy.constants import h
class Line(object):
def __init__(self, line_dictionary,channel=10, noise_figure=6,distance_amp=80e3,b2= 21.27e-27):
"""
:param line_dictionary:
"""
self._label = line_dictionary['label']
self._length = line... |
class Rectangle:
def __init__(self, length=0, width=0):
self.length = length
self.width = width
def getArea(self):
return(self.length*self.width)
def getPerimeter(self):
return(2*(self.length+self.width))
r1 = Rectangle()
r2 = Rectangle(3,4)
print("Area:",r1.getArea(),"|Perimeter:",r1.getPerimeter())
print(... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^scheme/$', views.SchemeView.as_view()),
] |
from setuptools import setup
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='blocksec2go-ethereum',
version='0.2.0',
description='Wrapper for blocksec2go allowing easy hardware-bas... |
#!/usr/bin/env python3
def eval_input_float(prompt):
user_entry = input(prompt)
try:
parsed_float = float(eval(user_entry))
q_sig = False
except:
parsed_float = None
q_sig = True
return parsed_float, q_sig
def prompt_user():
d = {
'working_years': 'Enter t... |
from datadog import initialize, api
options = {
'api_key': '8b61d94149b2d8718b1487ae2d76e6ba',
'app_key': '9d72fc44a77f1394ef465e290f08141699579e19'
}
# Create Monitor with thresholds
initialize(**options)
options = {
"thresholds": {
"critical": 800,
"warning": 500
},
"notify_no_data": True,
"n... |
# Generated by Django 2.2.13 on 2021-03-29 14:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('schedules', '0005_auto_20210324_0222'),
]
operations = [
migrations.AlterField(
model_name='schedules',
name='event... |
#################################################################################
# FOQUS Copyright (c) 2012 - 2023, by the software owners: Oak Ridge Institute
# for Science and Education (ORISE), TRIAD National Security, LLC., Lawrence
# Livermore National Security, LLC., The Regents of the University of
# California... |
def my_function(parameter):
calculation = parameter * parameter
return calculation
print my_function(5)
|
#!/System/Library/Frameworks/Python.framework/Versions/Current/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2019 Glynn Lane (primalcurve)
import sys
sys.path = [p for p in sys.path if p[1:6] != "Users" and p[1:8] != "Library"]
# Make sure sys.path includes the necessary paths to import the various
# modules needed... |
import os
import io
import uuid
import sys
import cv2
import base64
import logging
import glob
import numpy as np
from PIL import Image
from io import BytesIO
from flask import Flask, render_template, make_response, flash
import flask
import paddlehub as hub
app = Flask(__name__)
#run_with_ngrok(app) #starts ngrok ... |
import numpy as np
from sklearn.impute import KNNImputer
def get_pop_steel_grad(df):
pop_grade = df.groupby('МАРКА')[['произв количество плавок (цел)']].agg(sum).idxmax().values[0]
return pop_grade
def nul_cols(df_in):
nuls = df_in.isnull().mean().to_frame().sort_values(by=0, ascending=False)
nuls.c... |
import demistomock as demisto
from CommonServerPython import *
# The script uses the Python yara library to scan a file or files
''' IMPORTS '''
import yara
''' GLOBAL VARIABLES '''
yaraLogo = "iVBORw0KGgoAAAANSUhEUgAAAR0AAABgCAYAAAAgoabQAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAC9VJREFUeNrsnW1sVFUax59pp7RQ... |
from django.db import models
from django.contrib.auth.models import AbstractUser
import uuid
from enum import Enum
# Create your models here.
class User(AbstractUser):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
pass
class Ingredient(models.Model):
name = models.CharFiel... |
class Movie():
""" This class provides a way to store movie related information
Atributes:
title (str) : The name of the Movie.
storyline (str): All the information about the movie.
running_time (str): The duration of the movie.
genre (str): The type of movie.
poster_im... |
# Code taken and modified from:
# https://mpi4py.readthedocs.io/en/stable/tutorial.html
from sys import argv, exit
import numpy as np
import pandas as pd
from hashlib import md5
# For troubleshooting
import time
# Global variable for now
printAll = True
printAll = False
size = int( argv[3] )
print('input data: %... |
from flask_restful import Resource, reqparse
from flask_pymongo import ObjectId
from datetime import datetime
from werkzeug.security import generate_password_hash, check_password_hash
from flask import g
from .. import mongo
class UserResource(Resource):
def options(self, user_id):
pass
def get(self... |
def divide_conquer(arr,p,q,r):
n1 = q-p +1
n2 = r-q
n3 = r-p+ 1
#print(n1,n2,n3)
left = []
right = []
for i in range(n1):
print(i)
#print(i,p+i)
#print(left[i],arr[0])
left.append(arr[p+i])
print(left)
for i in range(n2):
#right[i... |
#coding=gbk
import cv2
import numpy as np
K = np.array([[414.22607, 0., 381.76500],
[0., 424.64700, 276.82032],
[0., 0., 1.]])
D = np.array([[0.23918, -0.23275, -0.01125, 0.01405]])
DIM = (800, 600)
left_camera_matrix = np.array([[414.37962, 0., 286.74291],
... |
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
n = len(nums)
visited=set()
l=0
r=n-1
while l<=r:
sum =nums[l]+nums[r]
if sum==target:
return [l+1,r+1]
elif sum<target:
l+=1
... |
import logging, json
from flask import Blueprint
from flask_restful import Api, Resource, reqparse, marshal
from blueprint import db
from flask_jwt_extended import jwt_required, get_jwt_claims
import datetime
from . import *
bp_kontakkami = Blueprint('kontakkami', __name__)
api = Api(bp_kontakkami)
class TestimoniRes... |
import os, sys
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"]=""
import pandas as pd
import numpy as np
eps = 0.004
desired = {
0: 0.36239782,
1: 0.043841336,
2: 0.075268817,
3: 0.059322034,
4: 0.075268817,
5: 0.075268817,
6: 0.043841336,
7: 0.07526881... |
from ipaddress import IPv4Address, IPv6Address
from next_hop import NextHop
def test_next_hop_str():
nhop = NextHop(False, None, None, None)
assert str(nhop) == ""
nhop = NextHop(False, "if1", None, None)
assert str(nhop) == "if1"
nhop = NextHop(False, "if2", IPv4Address("1.2.3.4"), None)
asse... |
# -*- coding: utf-8 -*-
# This file is part of Site Workshop, a "site object model" implementation of
# content management system for small sites (eg. weblogs).
#
# Copyright: (c) 2005, Jarek Zgoda <jzgoda@o2.pl>
#
# Site Workshop is free software; you can redistribute it and/or modify it
# under the terms of the GNU... |
#!/usr/bin/env python
"""
Copyright (c) 2021 Erin Morelli.
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge,... |
#!/cygdrive/d/canopy/User/Scripts/python
from flask import Flask, render_template, request, jsonify
#from pymysql.cursors import DictCursor
import pymysql as mdb
import cPickle as pickle
import re
from load_db import DB
app = Flask(__name__)
@app.route('/')
@app.route('/index')
def index():
db = DB()
cur = db.curso... |
# Homework 03 part B PyPoll by Dan Boulden (main.py)
# 12/2018
# Create file paths across operating systems
import os
# read CSV module
import csv
# set the path and file for the data
#csvpath = os.path.relpath.join("/Resources", "election_data.csv")
# this woudl use the relative patt... if I coudl get th... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-12-31 19:15
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('librecoach', '0002_auto_20161231_1614'),
]
operations = [
m... |
# Imports
import math
# Function
def split_check(total, num_people):
# cost_per_person = math.ceil(total / num_people)
# return cost_per_person
# Raise exception
if num_people < 1:
raise ValueError("More than one person is required to split a check.")
return math.ceil(total / num_people)
#... |
from django.contrib import admin
from .models import Book, BookNumber, Category
from .models import Borrow, BorrowItem, Fine
# Register your models here.
class BorrowAdmin(admin.ModelAdmin):
list_display = ('borrower', 'slug', 'borrow_date',
'return_date', 'is_borrowed')
list_filter = ('bo... |
# creates a dictionary to be used as a grid (coordinates). Stored with plain string keys. Values are empty.
lX = 0
cDict = {}
while lX <= 35:
lY = 0
while lY <= 11:
lC = str(lX) + ", " + str(lY)
cDict[lC] = []
lY += 1
lX += 1
eX = 0
cDictEvents = {}
while eX <= 35:
eY = 0
wh... |
# %load q01_plot_corr/build.py
# Default imports
import pandas as pd
from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
import matplotlib.pyplot as plt
plt.switch_backend('agg')
data = pd.read_csv('data/house_prices_multivariate.csv')
#Write your solution here:
def plot_corr(data, size=11):
corr = ... |
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