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# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from collections import OrderedDict
import yaml
from cgtsclient.common import utils
from cgtsclient import exc
from cgtsclient.v1 import app as app_utils
def _print_helm_chart(chart)... |
import Bio.PDB
from Bio.PDB import PDBParser
from Bio.PDB.PDBIO import PDBIO
from Bio.PDB import Superimposer
from Bio.PDB import NeighborSearch
import sys
import os
import argparse
from functions import *
parser = argparse.ArgumentParser(description="The function of this program is to reconstruct biological... |
import cv2
import numpy as np;
import math
# read the image throught an window frame
#imports for that
from tkinter import *
from tkinter import filedialog
from matplotlib import pyplot as plt
from matplotlib import path
from sideOfPieces import sideOfPieces
from pieces import pieces
from PIL import Image
from colorma... |
from datetime import datetime, timedelta
import json
from time import mktime
from django.db import models
from model_utils import Choices
from training.core.dailymile import api_get
class DailyMileProfile(models.Model):
user = models.OneToOneField('auth.User')
dailymile_url = models.TextField()
access_t... |
__author__ = 'kole0114'
class OperationStatus(object):
def __init__(self,token,**extra):
self.token=token
if 'redirect' in extra:
self.redirect=extra['redirect']
else:
self.redirect=None
if 'status' in extra:
self.status=extra['status']
... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import codecs
import re
from optparse import OptionParser
from xml2vrt.rule_parse import ElemRuleParser
from xml2vrt.util import WrappedXMLFileReader
from xml2vrt.converter import Converter, _test_rules
# This is needed only as long as we need to be able to ... |
# -*- coding: utf-8 -*-
def combine(residual, data, combine):
if combine == 'add':
return residual + data
elif combine == 'concat':
return mx.sym.concat(residual, data, dim=1)
return None
def channel_shuffle(data, groups):
data = mx.sym.reshape(data, shape=(0, -4, groups, -1, -2))
data = mx.sym.swapaxes(data... |
from collections import OrderedDict
import numpy as np
from copy import copy
import load_gals
class InvalidGalColorError(Exception): pass
class CroppingError(Exception): pass
class GalsAndStarsDoNotContainTheSameWavebandsError(Exception): pass
class Galaxy:
def __init__(self, gal_dict, stars_d... |
from sheepdog import utils
from sheepdog.transactions.transaction_base import TransactionBase
class ReviewTransactionBase(TransactionBase):
role = None
def __init__(self, **kwargs):
super(ReviewTransactionBase, self).__init__(role=self.role, **kwargs)
@property
def to_state(self):
"... |
import tweepy
from tweepy.streaming import StreamListener
CONSUMER_KEY = '62DQSnyyPSVYv9TU9UKe8gqPw'
CONSUMER_SECRET = 'l85LOdo3UNDO7EFOXgPGDMw4DyKlhL4UV5VUicsi0AGrbUs2up'
ACCESS_TOKEN = '204483920-qaUDsIVnGqRmMhpw4ZQcrw0JzndIgugIZymobYkQ'
ACCESS_TOKEN_SECRET = 'sEwtMlXcZUkgcpq85bYEpUcwZMrxuwqLAwIUyZ8yWvYwa'
auth = t... |
N, M = map(int, input().split())
result = 0
for n in range(N):
data = list(map(int, input().split()))
min_value = min(data)
result = max(result, min_value)
# 2중 반복문 구조 이용
# result = 0
#
# for n in range(N): # 한 줄씩 입력받기
# data = list(map(int, input().split()))
# # 현재 줄에서 '가장 작은 수' 찾기
# m... |
from typing import Dict, Optional, Union
from autoPyTorch.datasets.base_dataset import BaseDatasetPropertiesType
from autoPyTorch.pipeline.components.training.trainer.StandardTrainer import StandardTrainer
from autoPyTorch.pipeline.components.training.trainer.forecasting_trainer.forecasting_base_trainer import \
F... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tag genes for hotels based on stored rules"""
__author__ = "Kingshuk Dasgupta (rextrebat/kdasgupta)"
__version__ = "0.0pre0"
import logging
#import celery
import urllib2
import urllib
import json
from celery.signals import worker_init
from bin.celeryapp import celery... |
"""
Copyright 2015 Rackspace
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, software
dist... |
import cv2
import numpy as np
# Reading the Image
image = cv2.imread("1.JPG")
# Finding the Edges of Image
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.medianBlur(gray, 7)
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 10)
# Making a Cartoon of the image
color =... |
from django.shortcuts import render
from django.views.generic import UpdateView, FormView, DetailView, ListView, DeleteView
from userprofile.forms import UserProfileForm, ContactForm
from userprofile.models import UserProfiles
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_laz... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.16 on 2018-12-31 07:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('job', '0001_initial'),
]
operations = [
migrations.RenameField(
... |
# Generated by Django 2.1.5 on 2019-01-26 17:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('newsfeed', '0002_auto_20190126_1616'),
]
operations = [
migrations.AlterField(
model_name='article',
name='author',
... |
import re
import socket
from edc.device.sync.exceptions import ProducerError
def getproducerbyaddr(producer):
try:
hostname, aliases, ips = socket.gethostbyaddr(producer.producer_ip)
except AttributeError:
raise AttributeError(('Expected a producer instance. Got producer=\'{}\'.').format(prod... |
"""AutoBridge"""
from setuptools import find_packages, setup
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
setup(
name='autobridge',
version='0.0.20220512.dev1',
description='AutoBridge',
long_description=long_description,
long_description_content_type='text/markdow... |
"""
Given an array of integers nums, calculate the pivot index of this array.
The pivot index is the index where the sum of all the numbers strictly to the left of the
index is equal to the sum of all the numbers strictly to the index's right.
If the index is on the left edge of the array, then the left sum is 0 bec... |
s = input()
k = int(input())
if k <= len(s):
s_k = []
for i in range(len(s)-k+1):
s_k.append(s[i:i+k])
print(len(set(s_k)))
else:
print(0) |
#!/usr/bin/env python3
import subprocess, os
initialCommit = "HEAD~"
if "INITIAL_COMMIT" in os.environ:
initialCommit = os.environ["INITIAL_COMMIT"]
filterPaths = [
"test_dir",
"contrib/filter-commits.py",
".gitignore"
]
subprocess.run(["git", "reset", "--soft", initialCommit])
subprocess.run(["git"... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'app/template/lab5.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Form(object):
def setupUi(self, Form):
Form.setObj... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
from astropy.units import Quantity
from astropy.table import Table
from ..utils.time import time_ref_from_dict
from ..utils.scripts import make_path
__all__ = [
... |
#! python3
import csv
import setup
example_file = open('example.csv')
# reader is iterative
example_reader = csv.reader(example_file)
for row in example_reader:
print('Row#{} {}'.format(example_reader.line_num, str(row)))
# writer
delimiter = {'csv': ',', 'tsv': '\t'}
for k, v in delimiter.items():
outp... |
"""
Turner, Mann, Clandinin: Figure generation script: Fig. 3.
https://github.com/mhturner/SC-FC
"""
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
import os
import glob
from scfc import bridge, anatomical_connectivity, functional_connectivity, plotting
from matplotlib import rcParams
rcPar... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@version: python2.7
@author:
@contact:
@software: RoboWareStudio
@file: modular_robot_control_func.py
@biref:上位机主窗口，包含关节控制，路径离线控制
"""
import rospy
import sys
from rospkg import RosPack
from ui.msg import robot_feedback
from modular_robot_control import Ui_MainWindow_... |
# -*- coding: utf-8 -*-
from PIL import Image
import os
import numpy as np
import matplotlib.pyplot as plt
images = []
im_list = []
x = np.zeros((877,4096,3))
os.chdir("van_gogh")
len_van_gogh = os.listdir()
for i in range (1,len(len_van_gogh)+1):
im = Image.open('Vincent_van_Gogh_' + str(i) +'.jpg')
if np.a... |
from functools import wraps
import conjur
from flask import request, jsonify
from util import send_audit_event
def check_auth(username, password):
"""
This function is called to check if a username/password combination is valid.
"""
request.user = username
api = conjur.new_from_key(username, pa... |
from datetime import datetime
from django import forms
from captcha.fields import CaptchaField
from .models import Info
MONTH = {i: i for i in range(1, 13)}
YEAR = {i: i for i in range(datetime.now().year-19, datetime.now().year+1)}
class LoginForm(forms.Form):
username = forms.CharField(label=u'用户名', requi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='AdoptionDay',
fields=[
('id', models.AutoField(... |
from md_loops_debug import main_debug_loop
__author__ = "nikos.daniilidis"
if __name__ == '__main__':
main_debug_loop(
note='shared-x',
readme='''n streams sharing x values, all gauss, different balances, same weights''',
event_types=3 * ['gauss'], # distribution of the hidde... |
# create a function with defaults
def keyword_function(a=1, b=2):
return a+b
# call it with keyword arguments
keyword_function(b=4, a=5)
# call the function without arguments (i.e. use the defaults)
keyword_function() |
import collections
import re
from sklearn.feature_extraction.text import TfidfVectorizer
import numpy as np
from sklearn.preprocessing import LabelEncoder
from sklearn import svm
import wordcloud
import matplotlib.pyplot as plt
from newsiness_modules import feature_extraction as nm_fe
from newsiness_modules import text... |
from logging import log
from PIL import Image, ImageFont, ImageDraw
from telethon import events
from .. import jdbot, chat_id, _LogDir, _JdbotDir, logger, mybot, chname
from prettytable import PrettyTable
import subprocess
from .beandata import get_bean_data
from .utils import V4
IN = _LogDir + '/bean_income.csv'
OUT ... |
# -*- coding: utf-8 -*-
from odoo import api, fields, models, _
class Material(models.Model):
_name = 'hs.eas.material'
_description = 'Material'
_order = 'number'
name = fields.Char('Name', required=True)
base_unit = fields.Many2one('hs.eas.measure.unit', string='Base Unit', required=True)
... |
def capitalize(s):
output11 = ""
output2 = ""
c = []
for x in range(0, len(s)):
if (x % 2 == 0):
output11 += s[x].upper()
else:
output11 += s[x].lower()
if (x % 2 == 1):
output2 += s[x].upper()
else:
output2 += s[x].lower... |
import numpy as np
from scipy import ndimage
from scipy import signal
from scipy import misc
from scipy.ndimage import filters
def notch_filter_2d(size, sigma):
x, y = np.mgrid[-size//2 + 1:size//2 + 1, -size//2 + 1:size//2 + 1]
g = np.exp(-((x**2 + y**2)/(2.0*sigma**2)))
g /= g.sum()
g -= (np.max(g) +... |
import random
import evemy.ude as ude
from evemy.evemy_sis.si1 import si1
from evemy.evemy_sis.si2 import si2
class mob1:
def __init__(self,canvas,ife=1,sk=30,uf=100,rk=1):
self.canvas=canvas
self.items=[]
self.sk=sk
self.uf=uf
self.rk=rk
if ife==1:
self.... |
import numpy as np
from scipy.misc import lena
import OpenGL.GL as gl
class Canvas():
done_init_texture = False
def initTexture(self):
"""
init the texture - this has to happen after an OpenGL context
has been created
"""
# make the OpenGL context associated with this ... |
def checkList(food):
count = 0
for item in food:
count += 1
x = "Your list contains {} food items!"
print(x.format(count)) |
import sys
from bs4 import BeautifulSoup
import os
import re
TITLE_TAG = "h3"
PARSER_TYPE = "lxml"
class Listing(object):
def __init__(self, attr_dict, content):
self.attr_dict = attr_dict
self.content = content
def __str__(self):
st = "---"
for attr in self.attr_dict:
... |
import numpy as np
import pandas as pd
import itertools as it
filename = 'input.txt'
with open(filename) as f:
content = f.read().splitlines()
x0,y0,vx,vy = [],[],[],[]
for i in content:
x0.append(int(i[10:16]))
y0.append(int(i[18:24]))
vx.append(int(i[36:38]))
vy.append(int(i[40:42]))
from o... |
import requests
#topics covered : requests,api (application programming interface)
#taking json value from website api.fixer.ip(used to get currency exchenge rates)
def main():
base = input("First Currency: ")
other = input("Second Currency: ")
#taking inputs for the currencies
res = requests.get("htt... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'untitled.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtG... |
from torch import nn
import torch.nn.functional as F
class NNHeuristic(nn.Module):
"""
Define a neural network for use in DQN with a heuristic input.
"""
def __init__(self, input_dims: int=6):
super(NNHeuristic, self).__init__()
self.conv1 = nn.Sequential(nn.Linear(input_dims, 64))
... |
from ebpub.db.models import NewsItem, Schema
from django.contrib.gis.geos import Point
import datetime
from ksublock.scrapers.yelp import YelpApi
schema = Schema.objects.get(slug='campus-event')
yelpAxes = YelpApi('nRv6gPdCwEopk82FK_cwcA','g8VQ_wr3wgWspFEYFaW-S0Z4dBI','rS-u-TkmWViYGmblyi7M4pmCwIpLbdwD','H4xrxatP9OCuGt2... |
__author__ = 'grant'
c = dict(name='bill', age=21, occupation='student')
print(c)
e = dict([('name', 'jim'), ('age', 21), ('occupation', 'student')])
print(e)
d = dict(zip([1, 2, 3, 4], ['first', 'second', 'third', 'fourth']))
print(e.keys())
print(e.values())
print(d)
keys = {1: 1, 2: 2, 3: 3, 4: 4}
values = ... |
from flask_restful import Resource, reqparse
from models.user import UserModel
from flask_jwt_extended import create_access_token, jwt_required, get_raw_jwt
from werkzeug.security import safe_str_cmp
from blacklist import BLACKLIST
args = reqparse.RequestParser()
args.add_argument('name', type=str, required=True, help... |
#!/usr/bin/python
# -*-coding:utf-8-*-
import os
import yaml
# dirpath = os.path.dirname(os.path.realpath(__file__))
# f = open("mypage.yaml", "r", encoding="utf-8")
# a = f.read()
# f.close()
# d = yaml.load(a)
# print(d)
# print(d["Mypage"]['desc'])
# for i in d["Mypage"]['locators']:
# print(i)
dirpath = os.p... |
import requests
import os
from datetime import datetime
import pytz
link = 'https://www.toggl.com/api/v8/time_entries/current'
script_dir = os.path.dirname(__file__)
file = open(os.path.join(script_dir, 'token.txt'))
token = file.read().replace('/n', '')
file.close()
r = requests.get(link, auth=(token.strip(), 'api_t... |
#EASY, MEDIUM AND HARD LEVEL PARAGRAPHS
easy= """An immense mausoleum of white marble, built in ____1____ between
1631 and 1648 by order of the Mughal emperor ____2____ in memory of his
favourite wife ____3____ , the Taj Mahal is the jewel of Muslim art in
____4____ and one of the universally admired masterpieces of... |
import twitter
api = twitter.Api(consumer_key='vX4zFZ2O5EvB2dvVmHKIrZX9f',
consumer_secret='wuh6s2tU5PCbr9XYv1s9gIb6WnykUbnuEbDSpQ9cia919NvOor',
access_token_key='328006955-eX4tQxmAl67Eau2EJvH11shUZzoo8Z06qKMcHgmZ',
access_token_secret='P2zpEcnRXjLq65Xe... |
import integration
def f(x):
return x/(1+x)
res = 1.30685281944 # anlaytical result
#for n=5
n = 5
m1 = integration.midpoint(1, 3, n, f)
t1 = integration.trapezoidal(1, 3, n, f)
s1 = integration.simpson(1, 3, n, f)
# for n=10
n = 10
m2 = integration.midpoint(1, 3, n, f)
t2 = integration.trapezoidal(... |
# TODO
import cs50
from csv import reader
from sys import argv
# open the database to be used later
db = cs50.SQL("sqlite:///students.db")
# check whether there is an input
if len(argv) < 2:
print("usage error, import.py characters.csv")
exit()
# open csv and copy into a list
with open(argv[1], newline='') as... |
"""A video playlist class."""
from .video import Video
from .video_library import VideoLibrary
class Playlist:
"""A class used to represent a Playlist."""
def __init__(self, name):
self._video_library = VideoLibrary()
self._original_name = name
self._internal_name = name.lower(... |
""" Tests of wc_env_manager command line interface
:Author: Jonathan Karr <jonrkarr@gmail.com>
:Date: 2018-08-29
:Copyright: 2018, Karr Lab
:License: MIT
"""
from wc_env_manager import __main__
import mock
import unittest
import whichcraft
@unittest.skipIf(whichcraft.which('docker') is None, 'Test requires Docker a... |
"""Routes Tourism Serializers. """
# Django REST
from rest_framework import serializers
# Models
from core.commerce.models import Route, DayNumber, ElementDay
class RouteModelSerializer(serializers.ModelSerializer):
days = serializers.SerializerMethodField('get_day_for_route')
def get_day_for_route(self, ro... |
import threading
import glib
import dbus
from dbus.mainloop.glib import DBusGMainLoop
def printin(bus, message):
print("New message!")
print(message['member'])
print("\n\n\n")
def printout(bus, message):
print("Message seen")
#args = message.get_args_list()
print(message['member'])
print("... |
#!/usr/bin/env python
from easygui import *
import glob
import os
import re
import sys
import pyfits
def pick_dir(msg=None, title="Choose Directory", default=None):
if msg != None:
msgbox(msg)
while 1:
dirname = diropenbox(title, default=default)
if dirname == None or not os.path.isdir... |
import pyautogui
import mymodule1
import pyperclip
a = mymodule1.user2["user"]
b = mymodule1.user2["contactnumber"]
c = mymodule1.user2["desklocation"]
d = mymodule1.user2["username"]
#click cherwell
pyautogui.click(x=320, y=1056)
pyautogui.PAUSE = 2
#click my que
pyautogui.click(x=1102, y=469)
pyautogui.PAUSE = 2... |
from pymongo import *
import sys
import argparse
usage = 'cleandb -c "client"'
parser = argparse.ArgumentParser(description="Delete Database from mongo",epilog=usage)
parser.add_argument("-c","--client",help="clientdb",type=str,required=True)
opt = parser.parse_args()
if len(sys.argv) < 1:
parser.print_help()
... |
"""
sphinx_c_autodoc is a package which provide c source file parsing for sphinx.
It is composed of multiple directives and settings:
.. rst:directive:: .. c:module:: filename
A directive to document a c file. This is similar to :rst:dir:`py:module`
except it's for the C domain. This can be used for both c... |
# -*- coding: utf-8 -*-
"""
Created on 2017-10-10
@author: cheng.li
"""
from math import pi, cos, sin, copysign, trunc, sqrt
import numpy as np
from scipy.ndimage import convolve
from scipy.misc import imread
from matplotlib import pyplot as plt
length = 20
theta = 45.
def motion_blur(length, theta):
length =... |
from typing import List
from pydantic import BaseModel
class FidesopsSchema(BaseModel):
"""
A base template for all other FidesOps Schemas to inherit from.
"""
@classmethod
def get_field_names(cls) -> List[str]:
"""Return a list of all field names specified on this schema"""
retu... |
import random
monsters = {"Red Eye Wolf", "Blightfang", "The Painted Terror Monkey"}
randomMonster = random.choice(list(monsters))
health = 100
print(f"You have stummbled upon a {randomMonster} which has {health} health")
class Player:
def __init__(self):
#Initialize here
def attack(self):
... |
import mysql.connector
import csv
from tkinter.filedialog import askopenfilename
from functools import partial
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as tk
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from apyori i... |
# Time: O(m * n), m is the number of nodes of s, n is the number of nodes of t
# Space: O(h), h is the height of s
# Given two non-empty binary trees s and t,
# check whether tree t has exactly the same structure and
# node values with a subtree of s.
# A subtree of s is a tree consists of a node in s and all of this... |
try:
degrees_in_fahrenheit = float(input("What is the temperature in Fahrenheit?: "))
def F2C_Converter():
degrees_in_celcius = (degrees_in_fahrenheit - 32) * 5/9
return degrees_in_celcius
print(F2C_Converter(),"C")
except ValueError:
print("This is not a num... |
from django.urls import path
from .views import all_proms
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('', all_proms )
] |
x = [0.0, 3.0, 5.0, 2.5, 3.7] #define array
print(type(x))
#remove third element
x.pop(2)
print(x) #will print without third element
#remove 2.5
x.remove(2.5)
print(x)
#add an element to the end
x.append(1.2)
print(x)
#copy
y = x.copy()
print(y)
#how many elements are 0.0
print (y.count(0.0))
#print the index wit... |
import numpy as np
from math import *
ecuacion = input("Ingrese la función a resolver: ")
aValor = float(input("Ingrese el extremo inferior del intervalo: "))
bValor = float(input("Ingrese el extremo superior del intervalo: "))
tolerancia = float(input("Ingrese la tolerancia del método: "))
maximoIteraciones = int(inp... |
#SCOPE TERM
#Has 2 types
# 1. Local variable: Defined in function
# 2. Global variable: defined outside function
#Attempt 1st
a=10 #GLobal
def something():
a=9 #Local
print("fun",a)
something()
print("Global",a)
#Attempt 2nd
#if you want to change the global variable by change varibale inside function
a=10
d... |
import sys
def findpal(n):
pals,i = 0,999
while i > 99:
j = 999
while j >= i:
prod = i*j
j = j-1
if prod < pals:
break
if str(prod)==(str(prod)[::-1]) and prod < n:
if prod > pals:
pals = prod
... |
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 16 14:11:50 2019
@author: 77
"""
import pandas as pd
import numpy as np
import os
for name in os.listdir('E:/the_data/new_data'):
domain = os.path.abspath(r'E:/the_data/new_data') #获取文件夹的路径
info = os.path.join(domain,name) #将路径与文件名结合起来就是每个... |
'''
Reads in IntensityList from a .csv
@author: Mason
'''
#Import required modules
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def read_intensity(filename="../Raw_Data/intensity.csv"):
'''
Inputs:
filename: path of the .csv you want to parse
Outputs:
resize... |
from rest_framework import serializers
from .models import Class
class ClassViewSetSerializer(serializers.ModelSerializer):
class Meta:
model = Class
exclude = [
"is_active",
"location_code",
]
read_only_fields = [
"somm",
"pk",
... |
import numpy as np
import torch
import torch.nn as nn
from scipy.sparse import csr_matrix
from beta_rec.models.torch_engine import ModelEngine
class VAE(nn.Module):
def __init__(self, z_dim, ae_structure, config):
super(VAE, self).__init__()
self.config = config
act_fn = self.config["acti... |
import serial
import time
import struct
class STM32_Message(object):
x_vel =0
y_vel =0
ang_vel =0
wind_left =0
wind_right =0
unwind_left =0
unwind_right=0
left_prop =0
right_prop =0
roller =0
def __init__(self,port,baudrate):
... |
#!/usr/bin/env python3
# coding: utf-8
import contextlib
import json
import logging
import os
import random
import pymongo
import requests
import zhconv
from tqdm import tqdm
from common.utils import hide_phone, ts_date
from databases.base import Mongo, Redis, SearchEngine
from databases.comment import CommentSearch
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###########################################################
# WARNING: Generated code! #
# ************************** #
# Manual changes may get lost if file is generated again. #
# Only code inside the [MANUAL] ta... |
#!/usr/bin/env python3
import os
import datetime
import time
import subprocess
import psutil
from pathlib import Path
from create_rrdfiles import create_Network
from createLogFile import createLog
def get_Network():
network_interface = psutil.net_io_counters(pernic=True)
ifaces = psutil.net_if_addrs()
netwo... |
import sys, os
import pyshark
import json
from pathlib import Path
from optparse import OptionParser
from gen_parser import parse as gp
from dur_parser import parse as dp
from rate_parser import parse as rp
# This program takes as input a directory path
# It will fork off a thread and parse every file capture locat... |
from django.test import TestCase
from .models import Customer, Contact
# Create your tests here.
class ContactTests(TestCase):
def setUp(self):
Customer.objects.create(name='Sample Customer')
self.company = Customer.objects.get(name='Sample Customer')
def test_name(self):
"""
last name should be ... |
from PIL import Image
from PIL import ImageStat
class TakenPicture:
def __init__(self, shutter_speed, img, config):
self.img = img
self.shutter_speed = shutter_speed
self.brightness = self.calculate_brightness(img, config)
self.delta = abs(config.ideal_brightness - self.brightness)... |
def shoot(i,j):
global direction, game, H, W
direction = game[i][j]
if direction == "<":
dj = j
print("<")
if 0 <= dj - 1<W:
dj -= 1
if game[i][dj] == "." or game[i][dj] == "-":
shoot(i,dj)
elif game[i][dj]=="*":
gam... |
__all__ = [
'base_model',
'address',
'criteria',
'notification',
'offer',
'product',
'price',
'tax',
'order',
'payer',
'response',
'update',
'shipping',
'task_complete_params',
'task_data',
'task_followup',
'transaction',
'sort_dir... |
from app.models import Log, Comment
from flask import url_for
from flask_restful import fields
from . import default_per_page
user_fields = {
'id': fields.Integer,
'email': fields.String,
'name': fields.String,
'major': fields.String,
'headline': fields.String,
'about_me': fields.String,
'a... |
class Calculator:
def add(a,b):
return a + b
def sub(a,b):
return a - b
def mul(a,b):
return a * b
def div(a,b):
return a / b
c = Calculator
print(c.add(10,3))
print(c.sub(23,8))
print(c.mul(4,6))
print(c.div(6,3))
|
from common.mixin import DynamicLoadMixin
class ProviderFactory(DynamicLoadMixin):
provider_map = {
# "aws": AWSProvider,
# "azure": AzureProvider,
"gcp": "gcp.GCPProvider",
"onprem": "onprem.OnPremProvider"
}
@classmethod
def get_provider(cls, provider_name, *args, *... |
import pandas as pd
import flightanalysis2015 as fa
def test_flighttimes():
flights_df = pd.DataFrame({ "AIRLINE" : [ "UA", "B6", "DL", "FAIL" ],
"ORIGIN_AIRPORT" :
[ "IAD", "IAD", "IAD", "FAIL" ],
"DESTINATION_A... |
class Solution:
def killProcess(self, pid, ppid, kill):
"""
:type pid: List[int]
:type ppid: List[int]
:type kill: int
:rtype: List[int]
"""
dic = {}
visited = {}
for p in pid:
dic.setdefault(p, [])
visited[p] = 0
... |
__all__ = ['Comment', 'dump', 'Element', 'ElementTree', 'fromstring', 'fromstringlist', 'iselement', 'iterparse', 'parse', 'ParseError', 'PI', 'ProcessingInstruction', 'QName', 'SubElement', 'tostring', 'tostringlist', 'TreeBuilder', 'VERSION', 'XML', 'XMLID', 'XMLParser', 'XMLPullParser', 'register_namespace']
VERSION... |
import torch
from torchvision.datasets.vision import VisionDataset
import transforms as T
import glob
from PIL import Image
import random
import os
import xml.etree.ElementTree as ET
# Car (승용차), Truck (트럭), Bus (버스), Etc vehicle (기타 차량-덤프트럭, 레미콘 등 건설용차량), Bike( 이륜 차) License(번호판)
class ConvertCarPlateto... |
from random import shuffle
num1 = str(input('Primeiro aluno: -> '))
num2 = str(input('Segundo Aluno: -> '))
num3 = str(input('Terceiro aluno: -> '))
num4 = str(input('Quarto aluno: -> '))
num5 = str(input('Quinto aluno: -> '))
lista = [num1, num2, num3, num4, num5]
shuffle(lista)
print('A ordem de apresentação sera? ')... |
import collections
import torch
from torch import optim
import torchvision
from torchvision import datasets
from torchvision.transforms import ToTensor
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from torch.utils.data import DataLoader
from torch.autograd import Vari... |
import sqlite3
conn = sqlite3.connect('notes.db')
c = conn.cursor()
c.execute("CREATE TABLE `messages` (`id` INTEGER PRIMARY KEY, `from` TEXT, `to` TEXT, `timestamp` INTEGER, `message` TEXT, `received` INTEGER)")
c.execute("INSERT INTO `messages` VALUES (NULL, 'mader', 'darnek', 0, 'test', 0)")
conn.commit()
conn.close... |
from energyMinimization import *
import colorsys
import csv
from collections import Counter
import itertools
import colorsys
import math
square_grid = 16
input_image_file = "input/room1.jpg"
output_weight_filename = "room_weight"
def min_max_scale(arr):
arr[:, :, 1] = (arr[:, :, 1] - arr[:, :, 1].min()) / (arr[... |
from .serializers import DiveSiteSerializer
from .models import DiveSite
from rest_framework import generics
class DiveSiteList(generics.ListCreateAPIView):
queryset = DiveSite.objects.all()
serializer_class = DiveSiteSerializer
class DiveSiteDetails(generics.RetrieveUpdateDestroyAPIView):
queryset = Dive... |
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