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# 字符串操作测试 a = list() b = list() print(a is b) print(a == b)
from __future__ import print_function import numpy as np; from keras.layers import Input, Dense, Lambda, Flatten, Reshape, Dropout from keras.layers import Convolution2D, Conv2DTranspose from keras.models import Model from keras.optimizers import SGD, Adam, RMSprop, Adadelta from keras.callbacks import Callback, ModelC...
from pandas import DataFrame, read_csv import pandas as pd import matplotlib.pyplot as plt import math import re import numpy as np import random file = 'train_test.csv' file_evaluate = 'evaluate.csv' Data = pd.read_csv(file) poems = Data['text'] statuses = Data['label'] numberOfpoems = len(poems) train_index = ...
from itertools import chain, combinations from aimacode.planning import Action from aimacode.utils import expr from layers import BaseActionLayer, BaseLiteralLayer, makeNoOp, make_node class ActionLayer(BaseActionLayer): def _inconsistent_effects(self, actionA, actionB): """ Return True if an effect of ...
import pandas as pd x = {'one':[1,2,3], 'two':[4,5,6]} df = pd.DataFrame(x) df.set_index(['a','b','c']) print(df)
def getTotal(costs, items, tax): output = 0 for x in items: output += costs.get(x, 0) return round((output * tax) + output,2) ''' How much will you spend? Given a dictionary of items and their costs and a array specifying the items bought, calculate the total cost of the items plus a given tax. ...
from django.urls import path from . import views import django.conf.urls from django.views.generic import TemplateView urlpatterns=[ path('',views.home,name='doctor first page'), path('signup/',views.signup,name="doctor signup"), path('ajaxlogin/',views.ajaxlogin,name="ajaxlogin"), path('signup/ajaxsignup/',views....
# image process import os import cv2 DEBUG = False class Image: scale_percent = 10 # percent of original size def __init__(self, path, camera_i, time_i, ori_img=True): self.ori_path = path self.resize_path = None self.camera_i = -1 self.time_i = -1 self.image_name = ...
#!/usr/bin/env python def fib(x): ''' assumes x is an int and >= 0 returns Fibonacci of x''' assert type(x) == int and x >= 0 if x == 0 or x == 1: return 1 else: return fib(x-1) + fib(x-2) print fib(7) print fib(-2) print fib(t)
from django.forms import ModelForm from index.models import Moment class MomentForm(ModelForm): class Meta: model = Moment fields='__all__'
#!/usr/bin/env python3 # -*- coding: utf-8 -*- __version__ = '1.0.1' from web_backend.nvlserver.module import nvl_meta from sqlalchemy import BigInteger, String, Column, Boolean, DateTime, Table, ForeignKey, func from geoalchemy2.types import Geometry from sqlalchemy import Numeric from sqlalchemy.dialects.postgresql...
import os import webapp2 import jinja2 from new import Story from google.appengine.ext import db class ReviewHandler(webapp2.RequestHandler): def post(self): ratingValue = self.request.get('review.reviewRating.ratingValue') reviewBody = self.request.get('review.reviewBody') id = self.request.get('id')...
import numpy as np from copy import copy as copy import matplotlib.pyplot as plt import matplotlib.colors as colors from scipy.sparse import csr_matrix from numpy.polynomial import Legendre def normal_eqn_vects(X, Y, W, var): overlap = np.einsum('bai,bi,bci->bac', X, W, X, optimize='greedy') if np.any(np.lina...
# test 1 # 输入的获取 # message = input("Please input some sent\n") # message = int(message) #强制类型转换 # print(message+1) ''' input()返回的输入的都被视作字符串,应该用相应的类型转换函数强制转换 ''' # test 2 # while循环 num = 0 sum = 0 while num < 5: sum = sum + num num = num + 1 print(sum) # test 3 # 用户选择何时退出 print("===========================...
import boto3 import random import string from typing import Dict, List # prefix for objects created in test ID_PREFIX = "fake-" # us-east-1 is bleeding edge features DEV_REGION = "us-east-1" def id_generator(size=8, chars=string.ascii_lowercase + string.digits): random_string = ''.join(random.choice(chars) for ...
import pkg_resources libsgutils2 = pkg_resources.resource_filename(__name__, 'libsgutils2-2.dll') libc = 'msvcrt'
from GUI import gaGUI # 2*exp( - (x**2) - (y**2) ) + 5 * exp ( - (( x - 3 )**2) - (( y - 3)**2) ) max save all files widac dobrze tutaj!!!! # (x ** 1/2 - 5 * y ) / (x ** 2 + y ** 2 - 2 * x + 10) - przykladowa Funkcja do testowania # sin(x) + cos(y) min po wpisaniu idz do katalogu results + stworzony gif save all file...
from django.db import models from django.contrib.auth.models import AbstractUser # Create your models here. class GimletUser(AbstractUser): ROLE_OWNER = 'owner' ROLE_MANAGER = 'manager' ROLE_EMPLOYEE = 'employee' ROLE_CHOICES = ( (ROLE_OWNER, 'Owner'), (ROLE_MANAGER, 'Manager'), ...
from psana import dgram from psana.event import Event from psana.psexp import PacketFooter, TransitionId, PrometheusManager import numpy as np import os import time import logging logger = logging.getLogger(__name__) s_bd_just_read = PrometheusManager.get_metric('psana_bd_just_read') s_bd_gen_smd_batch = Promet...
from django import forms from .models import Contact from crispy_forms.helper import FormHelper from crispy_forms.layout import Layout, Field, Div, Submit class ContactForm(forms.ModelForm): class Meta: model = Contact fields = ('name', 'number', 'email', 'message') def clean(self): c...
import sys from functools import wraps import logging import os import random import time from contextlib import contextmanager from typing import Union from pathlib import Path import numpy as np import torch from hydra.experimental import compose, initialize from hydra._internal.hydra import Hydra as BaseHydra def ...
# Declares the variable "car" to equal 100 cars = 100 # Declares the variable "space_in_a_car" to equal 4 space_in_a_car = 4 # Declares the variable "driver" to equal 30 drivers = 30 # Declare the variable "passegers" to equal 90 passengers = 90 # Declares the variable "cars_not_driven" to equal the sum of cars minus d...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.shortcuts import render, HttpResponse, redirect # Create your views here. def index(request): return render(request, "store/index.html") def checkout(request): return render(request, "store/checkout.html") def delete(request): de...
import xml.etree.ElementTree as ET import csv #import xml.dom.minidom as md # def main(): tree = ET.parse("D:\PPTV\Collins\DMC-31218-A-25-20-43-01000-941A-D_002-00_EN-US.XML") root=tree.getroot() #open a file for writing Output_file=open('D:\PPTV\Collins\out.csv','w') #create csv writer object csvwr...
import json import time import sys from cleanser import df_header from downloader import vinculo_str_d, month_list def parser(month, year, file_list, df_struct): json_data = json_encoder(month, year, file_list, df_struct) print(json_data) def json_encoder(month, year, file_list, employee_struct): # Criaç...
import hashlib from time import time class BlockChain: """ 区块链结构体 chain:包含的区块列表 索引从1开始向后计数 current_transactions:存储每次需要打包的交易 transactions:存储所有交易记录 """ def __init__(self): self.chain = [] self.current_transactions = [] self.transactions = ...
import re # Memory Module class Partition: process = "A" start_unit = 0 size = 2 def __init__(self, process, start, size): self.process = process self.start_unit = start self.size = size class Memory: def allocate(self, process, size): start = self.alloc_start if self.type == "nf": # handle next fit ...
import unittest from katas.kyu_7.return_a_sorted_list_of_objects import sort_list class SortListTestCase(unittest.TestCase): def test_equals_1(self): self.assertEqual(sort_list('x', []), []) def test_equals_2(self): self.assertEqual(sort_list( 'b', [{'a': 2, 'b': 2}, {'a': 3, 'b'...
""" 13. Longest Palindromic Substring Question: Given a string S, find the longest palindromic substring in S. You may assume that the maximum length of S is 1000, and there exists one unique longest palindromic substring. Hint: First, make sure you understand what a palindrome means. A palindrome is a string which ...
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html import scrapy class BeerAdvocateItem(scrapy.Item): #ip_address = scrapy.Field() pass class RatingSummaryPageItem(scrapy.Item): beer_name = scrapy.Field(...
from itertools import cycle, islice import tensorflow as tf class FullyConnectedWTA: """Fully-connected winner-take-all autoencoder. This model is deterministic. """ def __init__(self, input_dim, batch_size, sparsity=0.05, hidden_u...
from django.db import models from django.contrib.auth.models import User class Project(models.Model): STATUS_CHOICES = [ ('LATE', 'Late'), ('ON TRACK', 'On Track'), ('NEAR COMPLETIONS', 'Near Completion'), ] description = models.CharField(max_length=30) status = models.CharField...
import common import random def run(nick, message, cmd_prefix): arg = common.get_plugin_argument(message, cmd_prefix, 'choose') if arg is None: return if not arg: return '{}: nothing to choose from'.format(nick) result = random.choice(arg.strip().split(' | ')).strip() return '{}: ...
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import annotations import logging from dataclasses import dataclass from pathlib import PurePath from typing import Any from pants.backend.docker.target_types import AllD...
# 给定一个仅包含大小写字母和空格 ' ' 的字符串 s,返回其最后一个单词的长度。如果字符串从左向右滚动显示,那么最后一个单词就是最后出现的单词。 # # 如果不存在最后一个单词,请返回 0 。 # # 说明:一个单词是指仅由字母组成、不包含任何空格字符的 最大子字符串。 # # # # 示例: # # 输入: "Hello World" # 输出: 5 # # Related Topics 字符串 # 👍 226 👎 0 # leetcode submit region begin(Prohibit modification and deletion) class Solution: def leng...
#!/usr/bin/env python # -*- Mode: Python; indent-tabs-mode: nil; tab-width: 4 -*- # Date: 2017.07.03 # Author: Luis Cardoso # Description: Create a list using the header information of all scripts and # export to a CSV file. # Modified by: Luis Cardoso # Version: 0.1 import os import sys import...
# -*- coding: utf8 -*- import cx_Oracle import requests import json import os from backend import syn_sign,syn_student #不加本句会出现中文编码问题!!! os.environ['NLS_LANG'] = 'SIMPLIFIED CHINESE_CHINA.UTF8' def a(date): host="xjtudlc_kq/it516kqdlc8tj@uc.xjtu.edu.cn/orcl.uc" connection=cx_Oracle.connect(host) cursor = ...
#coding=utf8 ######################################################################### # Copyright (C) 2016 All rights reserved. # # 文件名称:RomeAnnotation.py # 创 建 者:unicodeproject # 创建日期:2016年11月29日 # 描 述: # # 备 注:将日语假名注音转成罗马音 # 用最短路径分词方法将假名系列作切分,如シャギ 可分成 シ、ャ、ギ 或者シャ、ギ # 注意促音的处理 ###################...
from flask import Flask, render_template # Import Flask to allow us to create our app app = Flask(__name__) # Create a new instance of the Flask class called "app" @app.route('/') # The "@" decorator associates this route with the function immediately following def index(): return "Hello World!" @ap...
distancia = float(input('Qual a distância percorrida em km: ')) dias = float(input('Qual a quantidade de dias que o carro foi alugado: ')) valordias = 60.00 * dias valordistancia = 0.15 * distancia total = valordias + valordistancia print(f'R${total:.2f}')
import os import re import requests # 设置要遍历的目录 dir_path = '../_posts/' # 定义正则表达式匹配图片行和flickr图片url md_img_pattern = re.compile(r'!\[.*?\]\((.*?)\)') html_image_pattern = re.compile(r'<img.*?src="(.*?farm8\.staticflickr\.com.*?)".*?>') flickr_pattern = re.compile(r'staticflickr\.com') # file_type = '.html' file_type ...
from collections import defaultdict import numpy as np import networkx as nx import sys from attrdict import AttrDict from logging import getLogger from genice_svg import hooks, render_svg from countrings import countrings_nx as cr v1 = np.array([0.0, 0.0, 0.0]) r1 = 0.75 v2 = np.array([1.0, 1.0, 1.0]) r2 = 0.5 rb =...
from tek import cli, Config @cli(parse_cli=False) def cli_test(data): data.append(Config['sec1'].key1)
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import logging as log import yaml import os def get_settings_yml_file(): yml_file = None config_file = "configs/settings.yaml" try: with open(config_file, 'r') as yml: yml_file = yaml.load(yml, Loader=yaml.SafeLoader) except KeyError:...
""" CCT 建模优化代码 作者:赵润晓 日期:2021年5月21日 """ from cctpy import * from hust_sc_gantry import HUST_SC_GANTRY import time import numpy as np # 可变参数 # 动量分散 momentum_dispersions = [-0.05, -0.0167, 0.0167, 0.05] # 每平面、每动量分散粒子数目 particle_number_per_plane_per_dp = 12 # 每个机架(束线)粒子数目 particle_number_per_gantry = len( momentum_...
# By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6th prime is 13. # # What is the 10 001st prime number? primenum = 10001 i=0 testnum=2 while i < primenum: checkprime = True for j in range(2,testnum): if testnum%j==0: checkprime=False if checkprime==True: i+=1 current...
def is_matched(expression): stack = [] pair_lookup = {'{': '}', '(': ')', '[': ']'} # loop through each character in the expression and push its closing counterpart for ch in expression: if ch in pair_lookup: stack.append(pair_lookup[ch]) # when encounter a closing counterpa...
numbers=[2,3,1,6,4,8,9] numbers.insert(0,22) # bu insert methodi yordamida ko'rsatilgan indexdagi listning ichiga qo'shadi print(numbers)
#! /usr/bin/env python import sys import os import argparse from array import * import numpy as np import ROOT import yaml from pyjetty.alice_analysis.analysis.user.james import run_analysis_james_base from pyjetty.alice_analysis.analysis.user.james import plotting_utils_subjet_z # Prevent ROOT from stealing focus w...
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from pants.jvm.resolve.jvm_tool import JvmToolBase from pants.option.option_types import SkipOption class ScalafmtSubsystem(JvmToolBase): options_scope = "scalafmt" name = "scala...
# -*- coding: UTF-8 -*- li = ["a", "b", "mpilgrim", "z", "example"] print li print li[1] li.append("new") print li li.insert(2, "new") print li li.extend(["two", "elements"]) print li print li.index("example") print "c" in li print "example" in li li.remove("a") print li li.remove("new") # 删除首次出现的一个值 print li p...
import unittest from knowledge_graph.Mind import Mind class TestLoadingOntology(unittest.TestCase): def test_valid_ontology_source(self): onto = Mind() self.assertIsNotNone(onto.get_ontology())
import unittest from look_and_say import * # http://dojopuzzles.com/problemas/exibe/sequencia-look-and-say/ class LookAndSayTest(unittest.TestCase): def test_menor_numero(self): self.assertEquals(11, look_and_say(1)) def test_segundo_menor_numero(self): self.assertEquals(12, look_and...
#!/usr/bin/env python import argparse from braindecode.experiments.parse import ( create_experiment_yaml_strings_from_files, create_config_strings, create_config_objects, create_templates_variants_from_config_objects, process_parameters_by_templates, process_templates) import numbers def parse_command_lin...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- __version__ = '1.0.1' get_user_hw_action_list_query = """ SELECT hwa.id AS id, uhwa.user_id AS user_id, uhwa.value as value, hwa.name AS action_name, hwa.hw_action_type_id AS hw_action_type_id, ...
__author__ = "Narwhale" animals = ['dog','lion','leopard'] for i in animals: print(i) #---------------------------------- for i in animals: print('A %s will run'%i) print('Any of hhese animals will run')
""" Serializers for consuming job submissions for running models and generating reports """ import json from django.conf import settings from rest_framework import serializers from landscapesim.async.tasks import run_model from landscapesim.models import Library, Project, Scenario, RunScenarioModel from landscape...
import matplotlib.pyplot as plt import fast_cppn import quad_tree import queue import random def get_pattern(cppn, x1, y1, x2_range=[-1, 1], y2_range=[-1, 1], step=0.05, threshold=None): import numpy as np output = [] i = 0 for y in np.arange(y2_range[0], y2_range[1], step): ou...
#-*- coding:utf-8 -*- """ if __name__ == '__main__': tlist = [] head, mid, rear = 1, 0, 1 for i in range(input()): tlist.append(head) mid = int(head+rear) head = rear rear = mid print tlist[i] """ tlist = [] head, mid, rear = 1, 2, 2 for i in range(1, input()): ...
""" Logic of the mongoDB interaction. If you wish to use another databse, modify this file and this file only. """ import pymongo from pymongo.errors import PyMongoError import config as cf class DBError(PyMongoError): """ Base class for Database errors, inheriting from the base class for all pymongo e...
ct = 1 mtx = [] lenMtx = int(input("Enter values to create a matrix : ")) for i in range(lenMtx) : for x in range(1, lenMtx + 1) : if x != ct : mtx.append(0) else : mtx.append(1) ct += 1 print(mtx)
# I'm using horizontal bars as I think it's more space efficient than the vertical one # It's also seem easier to draw vertical comparison between bars import numpy as np import matplotlib.pyplot as plt import pandas from textwrap import wrap from matplotlib.ticker import FuncFormatter import locale locale.setlocale(lo...
def longpal(s): n = len(s) maxpal = '' for k in range(1,n+1): for i in range(0,n+1-k): j=0 while s[i+j] == s[i+k-1-j] and j < k/2: j+=1 if j == k/2: maxpal = s[i:i+k] return maxpal
print"hello print "aniket
# -*- coding: utf-8 -*- from typing import Optional, Callable, Awaitable, Tuple, Union, List, TypeVar from discord import Member, Embed from commands.base.client import Ratelimit from . import bot, Command, CommandError, authorise, Context from . import get_alias, toggle_alias from . import language from . import to...
"""This module contains pipeline definitions""" import logging import numpy as np import sys # set up a logger, at least for the ImportError model_logr = logging.getLogger(__name__) model_logr.setLevel(logging.DEBUG) model_sh = logging.StreamHandler(stream=sys.stdout) formatter = logging.Formatter('%(asctime)s : %(n...
import string def stringsplitter(string1): arr2 = [] string1 = ''.join(c for c in string1 if c not in string.punctuation) arr = string1.split(" " or "\n") for i in range(len(arr)): if not (type(arr[i]) != str or len(arr[i]) == 0): arr2.append(arr[i]) print(arr2) def zipfslaw1(arr): d = {} for i in range(...
# Create SQLite table and populate it import sqlite3 with sqlite3.connect("blog.db") as connection: c = connection.cursor() c.execute("""CREATE TABLE posts (title TEXT, post TEXT)""") c.execute('INSERT INTO posts VALUES ("Well","I am well, thanks.")') c.execute('INSERT INTO posts VALUES ("Good","I am good, than...
# Generated by Django 2.1.2 on 2018-12-11 12:43 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('main', '0013_auto_20181128_1358'), ] operations = [ migrations.CreateModel( name='Cities', ...
#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ last mod 6/4/19 """ import numpy as np from scipy.optimize import linear_sum_assignment import matplotlib.pyplot as plt overlapres = 50 overlapbox = np.mgrid[:float(overlapres), :float(overlapres)] overlapbox += .5 overlapbox *= 2./overlapres overlapbox -= 1 overla...
import maya.cmds as cmds selection = cmds.ls(sl=True) ws = cmds.workspace(q = True, fullName = True) wsp = ws + "/" + "images" cmds.sysFile(wsp, makeDir=True) for i in range(0,50): cmds.xform('Lamborginhi_Aventador', ws =True, relative=True, rotation=(45, 45, 45) ) cmds.saveImage( currentView=True ) i...
# Generated by Django 3.0.5 on 2020-05-04 09:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('clients', '0004_clientprofile_branch'), ] operations = [ migrations.AddField( model_name='clientprofile', name='cont...
import re class Verify: def is_empty(self, items): for item in items: if bool(item) is False: return True return False def is_whitespace(self, items): for item in items: if item.isspace() is True: return True ...
from django.urls import include, path from . import views urlpatterns = [ # return render templates path('', views.index), path('dogs', views.display_all_dogs), path('dogs/new', views.new_dog), path('dogs/<int:single_dog_id>', views.display_single_dog), path('dogs/<int:single_dog_id>/edit', vi...
import numpy as np import random from copy import deepcopy from scipy.linalg import pinv2, cholesky, inv from scipy import outer, dot, multiply, zeros, diag, mat, sum def compute_ranks(x): """ Returns ranks in [0, len(x))] which returns ranks in [1, len(x)]. (https://github.com/openai/evolution-strat...
def my_parse_int(string): try: return int(string) except ValueError: return 'NaN' ''' JavaScript provides a built-in parseInt method. It can be used like this: parseInt("10") returns 10 parseInt("10 apples") also returns 10 We would like it to return "NaN" (as a string) for the secon...
import polars as pl def test_horizontal_agg(fruits_cars: pl.DataFrame) -> None: df = fruits_cars out = df.select(pl.max([pl.col("A"), pl.col("B")])) # type: ignore assert out[:, 0].to_list() == [5, 4, 3, 4, 5] out = df.select(pl.min([pl.col("A"), pl.col("B")])) # type: ignore assert out[:, 0].t...
# Generated by Django 3.1.5 on 2021-01-22 19:57 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('data_aggregator', '0001_initial'), ] operations = [ migrations.AddField( model_name='assignment', name='excused', ...
import os from pprint import pprint import cv2 import requests imageName = "car" imgType = ".jpg" def handle_plate_identifier(croppedFrame, accessToken, objectID, score=0, regions=[]): currentImageName = imageName + str(objectID) + imgType cv2.imwrite(currentImageName, croppedFrame) licenseNumber = str()...
#!/usr/bin/env python import roslib roslib.load_manifest('baxter_rr_bridge') import rospy import baxter_interface from sensor_msgs.msg import Image from sensor_msgs.msg import CameraInfo import time import sys, argparse import struct import time import RobotRaconteur as RR import thread import threading import numpy i...
from assets import art from resource import Resource from cashier import Cashier class Printer: """This class act like a printer which the users interact with """ print(art.logo) print('Welcome to automated printer') @classmethod def printer_machine(cls): resource = Resource() ...
from tensorflow import keras from tensorflow.keras import layers, utils from sklearn.preprocessing import FunctionTransformer from sklearn.pipeline import Pipeline from original_approach import dataset from sklearn.pipeline import Pipeline from tensorflow.keras.wrappers.scikit_learn import KerasClassifier from tensorfl...
import boto3 import json # Document documentName = "7_screen.png" documentName = "test2.png" # Read document content with open(documentName, 'rb') as document: imageBytes = bytearray(document.read()) # Amazon Textract client textract = boto3.client('textract') # Call Amazon Textract response = textract.detect_d...
__author__ = "Vincent" import numpy as np import pandas as pd import matplotlib.pyplot as plt def clean_df(): global df df= pd.read_csv("DOHMH_New_York_City_Restaurant_Inspection_Results.csv") df = df.dropna() #Remove invalid grades (P & Z = grade pending) mask = df.GRADE.isin(['P','Z','Not ...
from django.urls import path from django.urls.resolvers import URLPattern from. import views urlpatterns = [ path("", views.index) ]
import utils import time def url_name(url): # the web page opens up chrome_driver.get(url) # webdriver will wait for 4 sec before throwing a # NoSuchElement exception so that the element # is detected and not skipped. time.sleep(4) def first_picture(): # finds the first picture pic ...
import time import sys import ibmiotf.application import ibmiotf.device import random import requests #Provide your IBM Watson Device Credentials organization = "985bj1" deviceType = "ibmiot" deviceId = "1001" authMethod = "token" authToken = "1234567890" def myCommandCallback(cmd): print("Command ...
# --------------------------------------------------------------------------- # extract_basin_nlcd_grid_count.py # Created on: 2014-07-22 18:31:19.00000 (generated by ArcGIS/ModelBuilder) # Description: extract NLCD gridded data using basin shapefiles and write # a land cover count summary to csv file # ----------...
import cv2 import numpy as np # Used everytime trackbar changes. (We don't want to do anything) def emptyFunction(self): pass windowName = 'BGR color pallette' cv2.namedWindow(windowName) img1 = np.zeros((512, 512, 3), np.uint8) cv2.createTrackbar('B', windowName, 0, 255, emptyFunction) # Name, lowerbound, upp...
from collections import defaultdict def pentagonal(n): return int((3 * n ** 2 - n) / 2) pentagon_numbers = defaultdict(bool) pentagonal_list = [] # list for itterating over numbers, dict for checking existence for i in range(1, 10000): pentagonal_list.append(pentagonal(i)) for i in pentagonal_list: pe...
# -*- coding: utf-8 -*- import random class Baraja(object): def __init__(self): self.palos = ["Espadas", "Corazones", "Tréboles", "Diamantes"] self.rangos = ["2", "3", "4", "5", "6", "7", "8", "9", "10", "Jack", "Queen", "King", "As"] self.maso = [] for palo in self.palos: ...
import math # Qt from PyQt5.QtCore import Qt from PyQt5.QtCore import QLine from PyQt5.QtCore import QPoint from PyQt5.QtGui import QPolygon class Arrow: def __init__(self, points, color=Qt.black, fill=True, tipLength=5, orientation="right"): """ Creates an Arrow object following given path (point list) """...
from unittest import TestCase from app import app from models import User, db, Post, Tag, PostTag # Perform tests on a Test database app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///blogly_test' app.config['SQLALCHEMY_ECHO'] = False # Real Errors app.config['TESTING'] = True db.drop_all() db.create_all() clas...
__author__ = 'Justin' import networkx as nx from random import choice from geopy.distance import vincenty as latlondist def randomnodes(G,distancelimit,print_=False): lons = nx.get_node_attributes(G,'lon') lats = nx.get_node_attributes(G,'lat') nodesdist = 0 connected = False ...
print("*"*30,"捕鱼达人","*"*30) username = input("输入参与者用户名:") password = input("输入密码:") print("%s 请充值才能加入游戏!" % username) coins = int(input("您充值的金额为:")) print("%s 元充值成功!当前游戏币是:%d" % (username,coins))
from classes.DBOperations import * import unidecode import requests from collections import OrderedDict postalcodedict = {} class weather: def __init__(self, dbOperations=None): self.dbOperations = dbOperations # simple function that returns a key for a given value from a dict def get_key(self, ...
import gc gc.enable() import os os.environ['KMP_DUPLICATE_LIB_OK']='True' class FeatureSelection(object): def __init__(self, feature_score_name): self.feature_score_name = feature_score_name pass def load_data(self): pass def get_feature_score(self): pass
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019/12/3 下午7:13 # @Author : zs # @Site : # @File : test.py # @Software: PyCharm import os import shutil def main(list): list.sort() a = max(int(list[0]), int(list[1])) b = min(int(list[0]), int(list[1])) for i in range(2, len(list)): i...
# Generated by Django 2.1.2 on 2018-12-11 05:03 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('ann', '0015_datasetdetailreview_masa_studi'), ] operations = [ migrations.RenameField( model_name='hiddenlayer', old_name='n...
#--*-- coding:utf-8 --*-- class Computer: def __init__(self,name): self.name=name def __str__(self): return self.name def execute(self): return 'execute a program' class Synthesizer: def __init__(self,name): self.name=name def __str__(self): return self.na...