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import session_log import introduction import image_processing import keyboard import flop import current_stack import error_log import pot_odds import db_query def check_is_turn(screen_area, deck, stack_collection, db): element_area = introduction.save_element(screen_area, 'turn_area', db) if image_processin...
""" World Corporation DERs User Role """ import names import random import pprint random.seed(0) # Always generate the same dataset n_utilities = 5 n_providers = 6 n_sp = 5 admins = 4 sec_auditors = 2 n_der = n_utilities * n_providers * 50 total_accounts = n_utiliti...
import requests import sys import fundamentus def download_all(stocks, session_id): s = requests.Session() for stock in stocks: referer_url = "{}balancos.php?papel={}&tipo=1".format( fundamentus.get_base_url(),stock) s.get(referer_url) s.headers.update({'Referer': refere...
# coding=utf-8 from rest_framework import serializers class PublicServantSerializer(serializers.Serializer): first_name = serializers.CharField(label='Prenume', max_length=255) last_name = serializers.CharField(label='Nume', max_length=255) position = serializers.CharField(label='Funcție', max_length=255)...
#!/usr/bin/env python """ Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License");...
from django.db import models from django.contrib.auth.models import AbstractUser from django.utils.translation import ugettext_lazy as _ from .managers import CustomUserManager class CustomUser(AbstractUser): username = None email = models.EmailField(_('email address'), unique=True) klass = models.Positiv...
import json import random import re from datetime import date from operator import attrgetter from typing import List, Optional from MainSettings import MainSettings from medalcalc.models.Hero import Hero from medalcalc.models.HeroHistory import HeroHistory from common.utils.DateUtils import DateUtils from medalcalc.m...
from izigraph.importers import NgvImporter import izigraph def test_importer_can_import_graph(tmpdir): importer = NgvImporter() content = "0\n0\n" p = tmpdir.mkdir("sub").join("graph.csv") p.write(content) g = importer.import_graph(str(p)) assert isinstance(g, izigraph.Graph) def test_import...
# Generated by Django 2.1.7 on 2019-04-30 09:57 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mainapp', '0001_initial'), ] operations = [ migrations.AlterField( model_name='catalog', name='image', f...
import requests import math import geocoder def get_mid_of_2pts(coords1,coords2): x1,y1 = coords1 x2,y2 = coords2 x_mid = (x1 + x2)/2.0 y_mid = (y1 + y2)/2.0 return (x_mid,y_mid) def address_to_coordinates(user_address): the_location = geocoder.osm(user_address) lat = the_location.osm.get('y',None) lon = t...
import common import re def help(): return {'authors': ['kqr', 'nycz'], 'years': ['2012', '2013'], 'version': '1.2', 'description': 'Interface till Google via något slags ajax json API.', 'argument': '<googlesökning>'} def run(nick, mess...
from django.contrib.staticfiles.management.commands.collectstatic import Command as BaseCommand from js_routing.functions import build_js_file class Command(BaseCommand): """ Command that collects static and generates the routes js from the templates. """ help = "Collect static files from apps and oth...
import keras from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization from keras.layers import Conv2D, MaxPooling2D import os from keras.optimizers import Adam from keras.callbacks import ModelChe...
print("Started with GitHub")
N = input() cruzamentos = 0 x = 1 #x é uma variável qualquer temporária pregos = [int(i) for i in input().split()] for i in range(len(pregos)-1,0,-1): for j in range(len(pregos)-1-x,-1,-1): if pregos[j] > pregos[i]: cruzamentos +=1 x += 1 print(cruzamentos)
#import the get_basic_image file as an easier to read name #no need to import serpapi since it is imported in the get_basic_image file import get_basic_images as gbi #An array of all queries that need to be run #This is a google search query so search syntax can be used link below for examples #https://support.google...
from django.shortcuts import render, render_to_response from django.template.context import RequestContext # Create your views here. def home(request): template = "index.html" return render_to_response(template, context_instance=RequestContext(request,locals()))
from collections import deque from typing import List from leetcode import TreeNode, new_tree, test def level_order_bottom(root: TreeNode) -> List[List[int]]: if not root: return [] queue, result = deque([root]), [] while queue: queue_len = len(queue) level = [] for _ in ...
import requests import Utils from bs4 import BeautifulSoup TRULIA_REQUEST_KEY = 'trulia' HOMEFINDER_REQUEST_KEY = 'homefinder' REMAX_REQUEST_KEY = 'remax' ZILLOW_REQUEST_KEY = 'zillow' def get_next_homefinder_url(raw_html): soup_file = BeautifulSoup(raw_html, 'lxml') for link in soup_file.findAll("link", at...
import os import git import yaml import csv import re import time import gspread from pydrive.auth import ServiceAccountCredentials # import pdb; pdb.set_trace() class Env: def __init__(self, name): self.name = name self.projects = [] self.sum_metrics = None def get_project(self, nam...
import math import sys if len(sys.argv) == 1: print('Input filename:') f=str(sys.stdin.readline()).strip() else: f = sys.argv[1] with open(f, 'r') as fp: l, mreset, string = fp.readline(), [], '' while l: string += str(l).strip() l = fp.readline() mreset = [int(x) for x in string.split(',')] ...
from django.contrib import admin # Register your models here. from django.contrib import admin from student.models import Student class StudentAdmin(admin.ModelAdmin): list_display = ('name', 'roll_no',) admin.site.register(Student, StudentAdmin)
from time import time from datetime import datetime from PIL import Image from simpleai.search import SearchProblem, astar from .modules.brute_force_mazeSolver import runSolver #pylint: disable=relative-beyond-top-level from .modules.a_star_mazeSolver import MazeSolver #pylint: disable=relative-beyond-top-level from .m...
import mxnet as mx import numpy as np from collections import namedtuple x = mx.nd.ones((100,100)) y = mx.nd.ones((100,100)) data = mx.sym.var('data') fc1 = mx.symbol.FullyConnected(data, name='fc1', num_hidden=128) act1 = mx.symbol.Activation(fc1, name='relu1', act_type='relu') fc2 = mx.symbol.FullyConnected(act1, n...
#!/usr/bin/python ## gfal 2.0 ls tool ## @author Adrien Devresse <adevress@cern.ch> CERN ## @license GPLv3 ## import gfal2_utils import sys if __name__ == "__main__": sys.exit(gfal2_utils.gfal_cat_main())
from __future__ import print_function def main(): infile = open('data/adult.data', 'r') data = [] for line in infile: data.append(line.split(', ')) #q = Question(9, "Female") data.pop() #true_rows, false_rows = partition(data, q) #gini_data = [data[0],data[1],data[2],data[3],data[4]] #print(gini(gini_data)) ...
import socket import select def parseData(data): print("Data: ", data) BUFFER = 2048 clientList=dict({}) host = '' port = 12345 server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) clientList[server]={'ip':'', 'port':12345} server.bind((host, port)) server.listen(5) print("Server is listening for connection...
""" astroHOG Statistical tests """ import numpy as np # ------------------------------------------------------------------------------------------------------------------------ def HOG_PRS(phi): # Calculates the projected Rayleigh statistic of the distributions of angles phi. # # INPUTS # phi - angle...
from dataloader import tilegenerator import os import glob from multiprocessing import Pool from functools import partial def tile_all_process(obj, use_tiss_mask): if use_tiss_mask: obj.load_ds_wsi() obj.stain_entropy_otsu() obj.morphology() obj.generate_tiles() obj.slide_thumbn...
from analysis import * fig = plt.figure(figsize =(figWidth,figHeight)) ax = fig.add_axes([0,0,1,1]) for axis in ['top','bottom','left','right']: ax.spines[axis].set_linewidth(linW1) ax.spines[axis].set_color(colK1) plt.style.use('seaborn-paper') rc('font',**{'family':'sans-serif','sans-serif':['De...
import serial import time import datetime import threading import math import os import pytz import numpy as np import matplotlib.pyplot as plt class modemController(): def __init__(self, baud=57600, timeout=0.05): self.crc = None self.cmdinf = '01' self.ser=serial.Serial( por...
from typing import List, Tuple def split_name(prediction: str) -> Tuple[str, int]: if len(prediction.split("_")) > 1: return prediction.split("_")[0], int(prediction.split("_")[1]) else: return prediction, 0 def is_correctly_retrieved(predictions: List[str], ground_truth: List[str]) -> bo...
#!/usr/bin/env python3.5 print("Hello Poland")
from data_structure.linkedlist.Node import Node # Class Linked List class LinkedList: # Initialize def __init__(self): self.first = None self.last = None self.__size = 0 # Add node on first def add_first(self, data): new_node = Node(data) if self.__is_empty()...
import mimetypes from django.conf import settings from django.db import models as dbmodels from PyPDF2 import PdfFileReader from PyPDF2.utils import PdfReadError from ..utils.auth import get_group_model from ..utils.rest_api import ( FileField, IdPrimaryKeyRelatedField, ModelSerializer, SerializerMeth...
import os from hca.dss import DSSClient from hca.util.exceptions import SwaggerAPIException from tests.utils import Progress class DataStoreAgent: DSS_SWAGGER_URL_TEMPLATE = "https://dss.{deployment}.data.humancellatlas.org/v1/swagger.json" DSS_PROD_SWAGGER_URL = "https://dss.data.humancellatlas.org/v1/swag...
T = int(input()) for _ in range(T): n = int(input()) a = list(map(int,input().split())) m = a[-1] c = [a[-1]] for i in range(n-2,-1,-1): if m <= a[i]: m = a[i] c.append(a[i]) for i in range(len(c)-1,-1,-1): print(c[i],end=" ") print()
import datetime import streamlit as st from threading import Thread def run(alarmH,alarmM): while(True): if(alarmH==datetime.datetime.now().hour and alarmM==datetime.datetime.now().minute): st.write("Time to wake up") audio_file=open("song.mp3","rb") st.audio(audio_file,...
#A file for testing the python apt module import apt import sys pkg_name = "firefx" cache = apt.cache.Cache() #cache.update() if pkg_name in cache: pkg = cache[pkg_name] print(pkg.versions[0].description) else: print("Package %s not found" % pkg_name)
for abc in ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","u","v","w","x","y","z"]: salida = open('english-'+abc+'.txt','w') fichero = open('english.txt', 'r') for linea in fichero: #print (len(linea)) if(len(linea) == 9 and linea[0] == abc): salida.write(linea) s...
# -*- coding: utf-8 -*- import connection import groups import users import logging if __name__ == '__main__': logging.getLogger().setLevel(logging.INFO) import sys name = sys.argv[1] usrs = sys.argv[2:] logging.info('creando oficina\nnombre: {}\nusuarios: {}'.format(name, users)) con = con...
# -*- coding:utf-8 -*- # class fraction operations def incor_exit(message): print(message) return class Fraction(object): def __init__(self, numerator, denominator=1): # a / b try: numerator / denominator except (TypeError, ZeroDivisionError): incor_exit('Error!'...
#!/usr/bin/python #coding: utf8 import numpy as np class anthill: def __init__(self): self.nb_ants = None self.start = None self.end = None self.room = [] self.link = [] self.move = [] self.nb_move = 0 class Ant: def __init__(self, number, node_path=None, journey=None, color='g.'): sel...
# Generated by Django 2.2.7 on 2019-11-24 20:36 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('accounts', '0002_auto_20191124_2036'), ] operations = [ migrations.CreateModel( ...
x = int(input("Enter x :")) y = int(input("Enter y :")) x = x*0+y y = y*0+x print(x) print(y)
from sympy.ntheory import primefactors limit = 1000000 for n in xrange(limit): ok = True for i in xrange(4): if len(primefactors(n+i)) != 4: ok = False break if ok: print n break
# coding=utf-8 import sympy as sp import numpy as np from fractions import gcd import bitwise_operators_strings as bw def shift_register(iniCond,poly): """Generates a maximum length sequence in a shift register from the next arguments: - iniCond: the initial condition of the shift register - poly: primiti...
import numpy as np import tensorflow as tf from tensorflow.keras.utils import Sequence as tf_Sequence from torch.nn import Module from functools import partial from graphgallery import functional as gf class Sequence(tf_Sequence): def __init__(self, *args, **kwargs): device = kwargs.pop('device', 'cpu...
import dash_bootstrap_components as dbc from dash import Input, Output, html dropdown = html.Div( [ dbc.DropdownMenu( [ dbc.DropdownMenuItem( "A button", id="dropdown-button", n_clicks=0 ), dbc.DropdownMenuItem( ...
# based on https://inventwithpython.com/chapter10.html for practice # tic tac toe game import random import time def get_letter(): while True: letter = input("Choose your letter ('X' or 'O') >> ") if letter.upper() == 'X': return['X', 'O'] elif letter.upper() == 'O': ...
import torch.utils.data as data import cv2 import sys import random from os import listdir from os.path import join import os import numpy as np from keras.preprocessing.text import Tokenizer from keras.utils import to_categorical from inference.Compiler import * # Model Imports import torch import torch.nn as nn imp...
import numpy as np import matplotlib.pyplot as plt from matplotlib import gridspec #from bayes_opt import BayesianOptimization from bayesian_opt.bayesian_optimization import BayesianOptimization def target(x): y = np.exp(-(x-2)**2)+np.exp(-(x-6)**2/5)+1/(x**2+1)+0.1*np.sin(5*x)-0.5 return y def posterior(...
#!/usr/bin/python3 '''after party module''' def append_after(filename="", search_string="", new_string=""): '''function that inserts a line of text to a file, after each line containing a specific string''' input_file = open(filename, mode='r').readlines() with open(filename, mode="w") as f: ...
import unittest from katas.beta.count_vowels_in_a_string import count_vowels class CountVowelsTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(count_vowels('abcdefg'), 2) def test_equals_2(self): self.assertEqual(count_vowels('asdfdsafdsafds'), 3)
class Player: #수퍼클래스 def __init__(self, name, age): self.name = name self.age = age class SoccerPlayer(Player): #서브클래스 def Goal(self, goal): self.goal = goal class Midfielder(SoccerPlayer): #서브클래스의 서브클래스 def assist(self, ass): self.ass = ass class GamePlayer(P...
#! /user/bin/env python3 import imaplib import email import os import sys import mimetypes import time # log in information # emailAddress = os.environ.get("python_email") # password = os.environ.get("python_password") # instagramAddress = os.environ.get('instagram_email') # instagramPW = os.environ.get('instagram_pas...
from django.contrib import admin from .models import User from django.contrib.auth.admin import UserAdmin class UserAdmin(admin.ModelAdmin): filter_horizontal = ['groups'] admin.site.register(User, UserAdmin)
from flask import Flask, render_template from youtube_api import YoutubeDataApi from youtube import getVideoData app = Flask(__name__) @app.route('/') def sayHello(): return render_template("index.html") # @app.route('/about') # def about(): # return render_template("about.html") @app.route('/suggestions')...
import socket import select HEADER_LENGTH = 3 #Header will be used to specify the length of the message received IP = socket.gethostname() PORT = 2000 email_list = ["trinity"] password_list = ["college"] coef_authorization = 0 #This function returns a message received in the format: header, message_body-...
from youtube_api import YoutubeDataApi from secret import youtube_api yt = YoutubeDataApi(youtube_api) def getVideoData(search): searches = yt.search(q=search, max_results=10) print(searches[0]) searches = [{'title': search['video_title'], 'date': search['video_publish_date'], 'desc': search['video_desc...
from flask import Blueprint from flask import request, jsonify from flask import render_template from flask_login import login_required from .controller import HostMonitor, Performance bp = Blueprint('performance', __name__) @bp.route('/performance/host') @login_required def host(): all_list = HostMonitor.host_al...
name = input() message = "Hello, " if name == "Johnny": message += "my love!" else: message += f"{name}!" print(message)
#!/usr/bin/python from statistics import median num=input("Enter number to find median:") con=[int(x) for x in str(num)] res=median(con) print(res)
import sys import numpy as np from Perceptron import Perceptron from io_handling import FileOutputter def main(): p = Perceptron(FileOutputter(sys.argv[2])) raw_data = np.loadtxt(sys.argv[1], delimiter=',') data = raw_data[:, [0, 1]] rows = raw_data.shape[0] bias_column = np.ones(rows) bias_...
import numpy as np from flask import Flask, request, jsonify, render_template import pickle app = Flask(__name__) model = pickle.load(open('model.pkl', 'rb')) @app.route('/') def home(): return render_template('index.html') @app.route('/predict',methods=['POST']) def predict(): ''' For rend...
import cv2 import numpy as np folders = ['Adirondack-perfect', 'Backpack-perfect', 'Couch-perfect', 'Sword2-perfect'] # for different sequences, find depth image for folder in folders: # path of images path = 'D:\\Vision\\HW07_dataset\\Question2\\{}\\{}\\'.format(folder, folder) # lef...
""" # 二叉树 """ import os import logging logger = logging.getLogger(__name__) class TreeNode(object): def __init__(self, value): self.val = value self.left = None self.right = None def pre_order(root): """前序遍历二叉树, 借助迭代器+递归实现""" if root: yield root.val # 访问根节点 yiel...
#! /usr/bin/env python ''' Submission script adapted for Comet and Bridges HPCs, including multiple options such as accounts, partitions, n of processors, memory, etc. Author: Juan V. Alegre Requena, please report any bugs or suggestions to juanvi89@hotmail.com ''' import os from argparse import ArgumentParser PARTIT...
from threading import Lock from flask import Flask from config import Config from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate from flask_socketio import SocketIO import redis async_mode = None app = Flask(__name__) app.config.from_object(Config) db = SQLAlchemy(app) redis_store=redis.from_...
t = int(input()) while t > 0: s = str(input()) if (min(s.count('0'),s.count('1'))) % 2 == 1: print("DA") else: print("NET") t = t-1
import pytest """ 配合 -m 标记名 进行筛选执行用例 例如:pytest cases\test_标记.py -m finished """ @pytest.mark.smoke @pytest.mark.finished def test_func1(): assert 1 == 1 @pytest.mark.unfinished def test_func2(): assert 1 != 1 @pytest.mark.wait def test_func3(): assert 1 != 1
import unittest from katas.kyu_6.reversed_words import reverseWords class ReverseWordsTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(reverseWords( 'The greatest victory is that which requires no battle'), 'battle no requires which that is victory greatest The...
#I pledge my honor that I have abided by the Stevens Honor System def squareValues(values): squared_values= int(values)**2 return squared_values def main(): values= input("Enter a list of values separated by a comma:") new_values=values.split(',') for num in new_values: print(squareValues(nu...
# coding: utf-8 from __future__ import absolute_import from datetime import date, datetime # noqa: F401 from typing import List, Dict # noqa: F401 from swagger_server.models.base_model_ import Model from swagger_server import util class ExposuresBundleRoadway(Model): """NOTE: This class is auto generated by ...
from flask import current_app class Holder: def __str__(self): return '{}' def __call__(self, name): return self class CacheKey: HOLDER = Holder() def __init__(self, *args): self.holder_count = len(list(filter( lambda a: isinstance(a, Holder), args))) se...
from pandas.core.frame import DataFrame import pandas as pd import numpy as np import re import calendar import datetime import time SKIP_LINE_SET = {"*** USER INFORMATION MESSAGE", "A ZERO FREQUENCY"} p_header = re.compile(r"(?P<label>.+(?=SUBCASE))(?P<subcase>SUBCASE\s\d+)") re_date = re.compile(r'(?P<month>\w+)\...
import SimpleXML import base64 import socket host = "192.168.10.93" # host="184.183.150.164" port = 5901 bold_xml = SimpleXML.SimpleXML() bold_xml.device_id = 909090 bold_xml.event = "*BA" clip = open("test.mpg", "rb").read() bold_xml.clip = base64.b64encode(clip).decode("ascii") bold_xml.bin_size = ...
from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np def to_range(images, min_value=0.0, max_value=1.0, dtype=None): """Transform images from [-1.0, 1.0] to [min_value, max_value] of dtype.""" assert np.min(images) >= -1.0 - 1e-5 and ...
class MaxHeap: def __init__(self): self.arr = [None] def push(self, val): def need_swap(ind): parent = ind // 2 if self.arr[ind] > self.arr[parent]: return True else: return False self.arr.append(val) curr ...
import numpy as np ''' Inputs ------ * mu: The mean of the gaussian fit * sigma: The covariance of the gaussian fit Outputs ------- * mu: The center of the ellipse * a: The semi-major axis length * b: The semi-minor axis length * theta: The ellipse orientation ''' def cov2ell(mu, sigma): xy = mu vals, vecs = np.li...
""" This is an example of a block comment. Python supports both block comments and line comments. Line comments begin with # """ # Set a name variable myName = 'Andy Fischoff' print(myName) # will print Andy Fischoff
#!/usr/bin/python # -*- coding: cp936 -*- import sqlite3 """ UpdateLeftAccount.py 对于 leftaccount 表格增删查改的操作 """ class updateLeftAccount: def update(leftAccounts): # 插入leftaccount, 存在的就replace with sqlite3.connect('C:\sqlite\db\hxdata.db') as db: insert_template = "INSERT OR REPLACE INT...
''' This file contains my implementation of a solution to the second problem: Files and Directories. The functions os.listdir() and os.walk() were not used in this solution due to the requirement that programs such as ls and similar may not be used. @author: Naveen Neelakandan ''' #!/usr/bin/python import datetime im...
import hashlib from tkinter import * from array import * znaki = array("u") formated = array("u") indx = 0 cindx = 0 strs = ["" for x in range(11)] def fastH(string, hash): if(hash == "sha256"): h = hashlib.sha256(string.encode()).hexdigest() return h if(hash == "md5"): h = hashlib.md...
#!/usr/bin/python3 import configparser import os import datetime from git import Repo class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' print(bcolors.OKBLUE + ''...
from google.appengine.api import users from google.appengine.api import mail from google.appengine.ext import webapp from google.appengine.ext.webapp import template from app.model.accounts import Accounts from app.model.invite import Invite from app.model.invites import Invites from app.forms.invite import InviteF...
#!/usr/bin/env python3 import sys, os import hmac, hashlib sys.path += [ os.path.join(os.path.split(__file__)[0], 'libs') ] from intelhex import IntelHex16bit # Plain Unsafe ops (op = bytes = word {little endian}) # ---------------------------------------------------- # ret = 0x08 0x95 = 0x9508 # reti = 0x18 0x95 = 0x...
from .rng import app
from colors import * # app config FPS = 60 WIDTH = 600 HEIGHT = 600 SIZE = (WIDTH, HEIGHT) BG_COLOR = BLACK # consts INFINITY = 10e10 COEFF = 50 # 3d # player config START_POS = (0, 0) START_ANGLE = 0 ANGLE_SPEED = 1 MOVEMENT_SPEED = 2 # object settings NLINES = 10 NPOINTS = 0 NCIRCLES = 5 RPOINT = 3 RCIRCLE = 50 ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- from fpgen import HTML class NonHTML(HTML): #{ def __init__(self, ifile, ofile, d, letter): HTML.__init__(self, ifile, ofile, d, letter) # No page numbers on any non-html def getPageNumberCSS(self): return [ "[105] .pageno { display:none; }" ] ...
#!/usr/bin/python3 import numpy as np import pandas as pd import pathlib from vulkan import * import PyQt5 from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QVBoxLayout, QHBoxLayout, QLabel from PyQt5.QtCore import QAbstractTableModel, Qt # %% _code_git_version="...
''' Original use of functions by Adam Bolton, 2009. http://www.physics.utah.edu/~bolton/python_lens_demo/ ''' # Given a background source, this lenses it and plots both as output. # The parameters for the lens can be changed but for it's a point source def lensed(gamp,gsig,gx,gy,gax,gpa,name,lamp=1.5,lsig=0.05,lx=0.,...
from flask import Flask, redirect, url_for, render_template, request app = Flask(__name__) # Homepage @app.route("/") def home(): return render_template('index.html') # Homepage re-route @app.route("/index.html/") def home_reroute(): return redirect(url_for("home")) #Wheelbase page @app.r...
from indicator import Indicator import states class RSI(Indicator): def __init__(self, utils, config, logger, timeframe): Indicator.__init__(self, utils, config, logger) self.timeframe = timeframe self.distance = self.cfg.DATA_POINTS self.period = self.cfg.PERIOD self.sell = self.cfg.SELL self.buy = se...
K=int(input("K= ")) N=int(input("N= ")) if(N>0): for i in range(0,N): print(K)
from mod_base import* class UserInfo(Command): """View info about you or another nick.""" def run(self,win,user,data,caller=None): args = Args(data) u = user if len(args)>0: result = self.bot.FindUser(args[0]) if result!=False: u = result ...
#!/usr/bin/env python3 import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from vr.models.baselines import LstmEncoder from vr.models.baselines import build_mlp class HyperVQA(nn.Module): """A model that uses a HyperNetwork to produce the weights for a CNN""" ...
class jumpingTable(): jumpingTable = {} def set(self, n, i): self.jumpingTable[n] = i def going(self, index): if index in self.jumpingTable: self.jumpingTable[index]() elif 'default' in self.jumpingTable: self.jumpingTable['default']() else: ...
import pandas from sklearn import linear_model, datasets from sklearn.metrics import accuracy_score from sklearn import model_selection from sklearn.linear_model import LogisticRegression from sklearn.metrics import precision_score print('reading in data...') """Read in dataset""" set_sizes = [100,500,1000,5000,10...
import maya.cmds as cmds import maya.mel #for selecting all objects cmds.select(all=True,visible=True) #for deselecting circle cmds.select('nurbsCircle1', d=True) #for deselecting plane and deselecting other objects cmds.select('nurbsPlane1', d=True) #for center pivot cmds.xform(cp=True) cmds.xform(a=True) ...