text stringlengths 38 1.54M |
|---|
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 1 18:44:29 2018
@author: Micha
"""
import numpy as np
class tictacToe:
def __init__(self,alt_agent):
self.board=np.zeros((3,3)) #-1 Alt Agent, 0 empty, 1 Agent
self.lastReward = 0
self.gameOver = False
self.terminal = False
sel... |
import math, copy, time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class GlobalAttention(nn.Module):
def __init__(self, dim, attn_type="dot"):
super(GlobalAttention, self).__init__()
self.dim = dim
self.attn_type = attn_type
assert (self.att... |
#!/usr/bin/env python
from mininet.topo import Topo
from mininet.net import Mininet
from mininet.link import TCLink
from mininet.log import setLogLevel
from mininet.cli import CLI
from mininet.clean import cleanup
from helper.util import print_error, print_warning, print_success
from helper.util import get_git_revisi... |
import argparse
import json
import logging
from pathlib import Path
from transformers.tokenization_bert import BertTokenizer
from farm.data_handler.data_silo import StreamingDataSilo, DataSilo
from farm.data_handler.processor import BertStyleLMProcessor
from farm.modeling.adaptive_model import AdaptiveModel
from farm... |
import yaml
import numpy as np
from scipy.linalg import block_diag
from scipy.linalg import sqrtm
from scipy.linalg import inv
from scipy.stats.distributions import chi2
import math
class ParametersClass:
# ----------- Switches (options) ---------------
SWITCH_REDUCE_TESTING = None
SWITCH_VIRT_UPDATE_Z =... |
import requests
import re
url = "https://study-ccna.com/classes-of-ip-addresses/"
collected_data = requests.get(url)
txt_data = collected_data.text
#print(txt_data)
ip = r'[0-9]{1,4}\.[0-9]{1,4}\.[0-9]{1,4}\.[0-9]{1,4}'
ip_address = re.findall(ip,txt_data)
ip_address =list(set(ip_address))
i = 1
for each in ip_addr... |
### coderbyte
'''
Challenge
Have the function LetterChanges(str) take the str parameter being passed and modify it using the following algorithm. Replace every letter in the string with the letter following it in the alphabet (ie. c becomes d, z becomes a). Then capitalize every vowel in this new string (a, e, i, o, u... |
import sys
import math
import re
line1 = []
line2 = []
line3 = []
line4 = []
line5 = []
count = 1
Abc = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V',
'W', 'X', 'Y', 'Z']
charmap = {}
line = ''
# Auto-generated code below aims at helping you pars... |
import json
import sys
sys.dont_write_bytecode = True
import numpy as np
import datetime
import random
import math
import core
def run(debug):
base = "BTC"
base = "ETH"
#base = "LTC"
quote = "USDT"
historymins = 60*24*30*2 #60*24*30*4
interval = 60
dtend = datetime.datetime.strptime('201... |
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# http://www.rcc-acis.org/docs_webservices.html
# weather station IDs:
# Rogers Farm #1: 2001
# LINCOLN AIRPORT: 14939
siteList = ['2001','14939']
startDate = '2019-01-01'
endDate = '2019-12-31'
def weatherdf (siteList,startD... |
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import math
data=pd.read_csv('lda_data.csv')
X_train,X_test,Y_train,Y_test=train_test_split(data,data['Y'],test_size=0.35,random_state=0)
print(X_train.shape)
print(Y_train.sh... |
#!/usr/bin/dev/ python3
""" This Module contains the merge_sort algorithm for lists.
"""
__author__ = "Nicholas Cook"
__email__ = "nick.james.cook@gmail.com"
__status__ = "Prototype"
def merge_sort(list, base_list = True):
""" return sorted ascending list
Call check_element_types, check list length, if length ... |
#!/usr/bin/env python
#coding:utf-8
import os
from app import app
from flask import Flask, request, redirect, url_for, render_template, abort, session, escape, send_from_directory, flash
from werkzeug import secure_filename
import subprocess
import thread
import traceback
import sys
reload(sys)
sys.setdefaultencodin... |
def definePlayer(player, id):
# Pseudo-definitions
opponent_history = []
history = []
score = []
opponent_score = []
getting_team_name = True
#if statement from Prisoner's Dilemma Code
if player != id:
return 'INVALID SELECTION'
#========================================... |
# from tensorflow.keras.datasets.fashion_mnist
from tensorflow.examples.tutorials.mnist import input_data
import warnings
import tensorflow as tf
warnings.filterwarnings('ignore')
class LeNetRaw:
def __init__(self):
pass
def weights_init(self, shape):
"""
shape size: [height, width, n... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# Generated by Django 3.1 on 2020-09-13 02:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('partisan', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='tweet',
name='created_at',
f... |
# Copyright 2015 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.
# pylint: disable=undefined-variable
# Crazy hack, because of appengine.
import os
import sys
def _fix_sys_path_for_appengine(pretest_filename):
infra_b... |
from django.contrib import admin
from .models import Bond
admin.site.register(Bond)
admin.site.site_url = "/bonds" |
#!/usr/bin/env python
from __future__ import print_function
import argparse
import subprocess
__author__ = "Begon Jean-Michel <jm.begon@gmail.com>"
__copyright__ = "3-clause BSD License"
__LH__ = "localhost"
# TODO do something more portable
__CT_FOLDER__ = "~/clustertools_data/"
if __name__ == '__main__':
... |
# This is a solution to https://open.kattis.com/problems/blokovi
# Given N blocks with a certain mass and length=2
# Find the largest horizontal distance we can reach by stacking them
# NOTICE: We will be stacking them with the largest block on top
# If we use the top block to rebalance to the left, we can have a
# sm... |
class Solution(object):
def sortColors(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
# 计数排序
colors = [0, 0, 0]
for i in range(len(nums)):
assert 0 <= nums[i] <= 2
colors[nu... |
from django.contrib.auth import views as auth_views
from django.contrib.auth.models import User
from django.urls import resolve, reverse
from django.test import TestCase
class PasswordChangeIntoAccountTests(TestCase):
def setUp(self):
self.user = User.objects.create_user(
username='to... |
import pygame
import constants
class Tile:
def __init__(self, y, x, width, height, status):
self.y = y
self.x = x
self.width = width
self.height = height
self.font = pygame.font.SysFont('Arial', 25)
self.status = status
self.color = Tile.define_color_by_stat... |
import socket
import sys
import threading
import os
import re
import settings
#make object socket
def file_exists(file_route):
if not os.path.exists(file_route):
print("File tidak ditemukan")
return False
return True
def specify_receiver():
return input("Masukkan username tujuan (ketikkan ... |
# coding=utf-8
from __future__ import absolute_import
__author__ = "Gina Häußge <osd@foosel.net>"
__license__ = 'GNU Affero General Public License http://www.gnu.org/licenses/agpl.html'
__copyright__ = "Copyright (C) 2014 The bioprint Project - Released under terms of the AGPLv3 License"
import unittest
import os
imp... |
from turtle import Turtle
class Score(Turtle):
def __init__(self):
super().__init__()
self.color('white')
self.hideturtle()
self.up()
self.goto(0, 260)
self.l_point = 0
self.r_point = 0
self.print_score()
def point_to_l_player(self):
sel... |
from os import system, name
from time import sleep
from Enlistment import Enlistment
from Admin import Admin
from Student import Student
from User import User
from Class import Class
def clear():
if name == 'nt': # windows
_ = system('cls')
elif name == 'posix': # mac and linux
_ = system('... |
from sklearn import cluster, datasets
from matplotlib import pyplot
import numpy as np
k = 5
iris = datasets.load_iris()
X_iris = iris.data
# X_iris = np.array([98, 80 , 78, 10, 5, 20, 46, 55, 60])
y_iris = iris.target
# print(X_iris)
k_means = cluster.KMeans(n_clusters=k)
k_means.fit(X_iris)
labels = k_means.la... |
#-------------------------------------------------------------------------------
# Name: Tannin
# Purpose: To store hashes encrypted with Tea.lock in a disintegrated fashion so as to decrease malicious accessibility of stored hashes while maintaining ease of use.
#
# Author: Jordan Gloor
#
# Creat... |
from fastapi import APIRouter, HTTPException
import pymongo
from config.db import db
from models.user import User
router = APIRouter()
@router.post("/login")
def login_handler(user: User):
user = dict(user)
try:
credentials = db.user.find_one({"username": user["username"]})
if not credentia... |
from django.urls import path
from .views import *
urlpatterns = [
path('resume/',ResumeView.as_view()),
path('personalinfo/<int:resume_id>/',PersonalinfoView.as_view(),name='personalinfo'),
path('education/<int:resume_id>/',EducationView.as_view(),name='education'),
path('experience/<int:resume_id>/',Exper... |
# 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"); you may not u... |
# Generated by Django 2.1.5 on 2019-09-20 09:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('projects', '0009_auto_20190606_1403'),
('designs', '0005_auto_20190920_1601'),
]
operations = [
mig... |
# coding=utf-8
"""Dibujando 2 texturas en un mismo Fragment Shader"""
import glfw
from OpenGL.GL import *
import OpenGL.GL.shaders
import numpy as np
import sys
import os.path
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import grafica.transformations as tr
import grafica.basic_shapes a... |
import chainer
class MonotonicLinear(chainer.Chain):
"""Linear layer with a constraint: weight > 0"""
def __init__(self, monotone_input, marginal_input, monotone_output, marginal_output):
super().__init__()
with self.init_scope():
weight_initializer = chainer.initializers.LeCunNor... |
# -*- -*- coding: utf-8 -*- -*- -*-
# @Author : Gaopangpang
# @Project Name : Lagou
# @File : __init__.py
# @Time : 2021/3/26 9:56
# @Email : 719453296@qq.com
# -*- -*- -*- -*- -*- -*- -*- -*- -*-
|
import sys
sys.stdin = open('../input.txt', 'r')
N = int(input())
time_list = [tuple(map(int, input().split())) for _ in range(N)]
time_list = sorted(time_list, key=lambda x: (x[1], x[0]))
cnt = 1
start_time, end_time = time_list[0]
for next_start_time, next_end_time in time_list[1:]:
if next_start_time >= end_ti... |
import requests
from datetime import datetime
from MyHTMLParser import MyHTMLParser
import feedparser
# appropriately set these url
WEB_HOOK_URL_CS_IT = ""
WEB_HOOK_URL_CS_LG = ""
WEB_HOOK_URL_DIS_NN = ""
WEB_HOOK_URL_STAT_MECH = ""
WEB_HOOK_URL_STAT_ML = ""
WEB_HOOK_URL_MATH_PR = ""
HOOK_DICTIONARY = {
"cs.IT": ... |
import numpy as np
from random import randint
from gym.envs.mujoco import HalfCheetahEnv, InvertedPendulumEnv, ReacherEnv
from gym.spaces import Dict
from copy import deepcopy
import rlkit.torch.pytorch_util as ptu
from rlkit.torch.gen_exp_traj_algorithm import ExpertTrajGeneratorAlgorithm
from rlkit.core import log... |
from unittest import TestCase
from celery.tests.case import MagicMock
from mock import Mock, patch, PropertyMock
from datawinners.accountmanagement.mobile_number_validater import MobileNumberValidater, validation_message_dict
from datawinners.accountmanagement.models import Organization
from mangrove.datastore.databa... |
"""
This script serves as the API layer between backend WOLFGAME class and the clients, which I assume will be cellphone
"""
from flask import Flask
from flask import render_template, request, session, redirect, jsonify
from flask_cors import CORS
import wolf
import uuid
app = Flask(__name__, template_folder='templat... |
# Copyright(c) 2016, Oracle and/or its affiliates. All Rights Reserved.
#
# 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
#
# ... |
import sqlite3
import foursquare
client = foursquare.Foursquare(
client_id='JZ0P123UOI1WX2UA5GBKJ5R15EG5SXPJPQI43QBW12IX1BBT',
client_secret='PFPZXOCWBJZULOP4KNPLX2USVTL34PPI1EVH15SIIC4QSZQQ'
)
# returns a list of triple tuples with the following format:
# (name, latitude, longitude)
def get_venue_info():
db ... |
import cv2
import numpy as np
# original image
# -1 loads as-is so if it will be 3 or 4 channel as the original
def rotate(frame , i):
(h,w) = frame.shape[:2]
c = (w/2,h/2)
mat = cv2.getRotationMatrix2D(c,i,1)
dst = cv2.warpAffine(frame,mat,(w,h))
return dst
pos = cv2.imread("pos.jpg")
neg = cv2.imread("neg.jpg"... |
import pytest
from selenium import webdriver
from PageObjects.page_DealApproval import PageDealApproval
from TestDatas.common_datas import CommonDatas as cd
from PageObjects.page_login import PageLogin
from PageObjects.page_index import PageIndex
'''
Deal Approval
'''
driver = None
@pytest.fixture(scope='class')
d... |
from torch import nn
import torch
class LabelSmoothSoftmaxCE(nn.Module):
def __init__(self,
lb_pos=0.9,
lb_neg=0.005,
reduction='mean',
lb_ignore=255,
):
super(LabelSmoothSoftmaxCE, self).__init__()
se... |
import requests
import datetime
class BotHandler:
def __init__(self, token):
self.token = token
self.api_url = "https://api.telegram.org/bot{}/".format(token)
self.proxies = { 'http': 'socks5://127.0.0.1:9050', 'https': 'socks5://127.0.0.1:9050' }
def get_updates(self, offset=None, timeout=60):
... |
#%% LOAD
import os
from scipy.io import loadmat, savemat
import matplotlib.pyplot as plt
import numpy as np
#%% 2.) Cos
os.chdir(r"D:\thesis-scripts\Neural networks\ResNet50\Experiment images\Conv big\l1")
l1 = os.listdir()
os.chdir(r"D:\thesis-scripts\Neural networks\ResNet50\Experiment images\Conv big\l2")
l2 = os... |
import itertools
import heapq
amino_mass = [57, 71, 87, 97, 99, 101, 103, 113, 114, 115, 128, 129, 131, 137,
147, 156, 163, 186]
class Peptide:
def __init__(self, name, mass, score):
self.name = name
self.mass = mass
self.score = score
def substrings(iterable):
n = len(iterable)
... |
__author__ = 'kayzhao'
__METADATA__ = {
"src_name": 'MeSH',
"src_url": 'https://www.nlm.nih.gov/mesh/',
"version": "2017",
"field": "mesh",
"license": "",
"license_url": ""
}
from config import *
# data directory data/mesh
DATA_DIR_MESH = os.path.join(DATA_DIR, "mesh")
# downloaded from: htt... |
# A. match_ends
# Given a list of strings, return the count of the number of
# strings where the string length is 2 or more and the first
# and last chars of the string are the same.
# Note: python does not have a ++ operator, but += works.
def match_ends(*words):
counter = 0
new_words = [list(i) for i in wor... |
import export_elements
import pyodbc
import sys
from parameters import SERVER
from parameters import db
from parameters import driver
from parameters import Original_url
from parameters import table
def get_data():
# output: list of (repitition of the elements,HTML elements from table)
try:
... |
def repeatedString(s, n):
a = set(s)
le = len(a)
if le == 1 and 'a' in a:
return n
repeated_num = n // len(s)
rem_letters = n % len(s)
return ((s.count('a' )* repeated_num)+ s[:rem_letters].count('a')) |
from numbers_processor import NumbersProcessor
from entity import Entity
from nltk.corpus import stopwords
class TextProcessing:
names_and_entities_dict = {} # name : (how many docs, how many times in corpus, )
def __init__(self):
self.stop_words = {}
my_stopwords = stopwords.words('english'... |
import graficas
def start(update, context):
update.message.reply_text("Saludos, Estrellita!")
saludo = "saludo.txt"
f = open(saludo, encoding='utf8').read()
update.message.reply_text(f)
def stars(update, context):
graficas.allstars()
chatid = update.message.chat.id
try:
... |
import numpy as np
class NaiveBayes:
'''
Naive Bayes classifier for music lyrics. Given a set of lyrics, learn
to classify which genre a song corresponds to. We make the assumption that
all genres share the same prior distribution.
'''
def __init__(self, data, genres):
self.data = data ... |
import shutil, os
from file_utils import files_with_ext, create_dir
import sys
from random import shuffle
xmls = files_with_ext(sys.argv[1],'.xml')
imagesPath = sys.argv[2]
#print(xmls[0])
xmls = [xml.split('/')[-1].split('.xml')[0] for xml in xmls]
xmls = [xml for xml in xmls if os.path.exists(os.path.join(imagesP... |
#循环 for for循环语法：
# for item in 某个数据类型：（数据类型包含：字符串 列表 元组 字典 集合等）
#代码块
#in？ 成员运算符 in
# for 循环的循环次数 由数据的元素个数决定
# s = 'hello'
# l =[1,2,3]
# d ={"age":18,"name":"哈哈"} #字典类型的数据 是遍历访问key
# for item in s: #for循环遍历s里面的元素 然后赋值给item
# print("hhh")
# for a in s:
# print(a)
#题目
#请利用for循环，完成列表里面的所有数据的相... |
from abc import ABCMeta, abstractmethod
class Animal(metaclass = ABCMeta):
@abstractmethod
def som(self):
pass
class Cachorro(Animal):
def som(self):
print('au au au')
class Gato(Animal):
def som(self):
print('miau miau')
class Factory(object):
def produzir_som(self, obje... |
"""
This module provides methods for checking webpage type.
@ author: Ziming Sheng
@ date: 2019-07-25
"""
import collections
import re
from urllib import parse
from lxml import etree
from lxml.html import clean, defs
import numpy
import pyximport
pyximport.install(pyimport=True)
from cyGaussian import ... |
from django.conf.urls import url
from tickets.views import (
tickets_new_bug, tickets_new_feature, tickets_view_one,
tickets_view_all, tickets_edit, tickets_delete,
upvote_add, upvote_remove, admin_ticket_status)
urlpatterns = [
url(r"^$", tickets_view_all, name="tickets_view_all"),
url(r... |
#!/usr/bin/python
#coding=utf-8
import os
import shutil
import sys, getopt
import platform
if __name__ == '__main__':
try:
opts, args = getopt.getopt(sys.argv[1:], "hi:o:", ["help","input=","output="])
except getopt.GetoptError:
print "usage: %s -i <input path> -o <output path>"%(sys.argv[0])
sys... |
__author__ = 'kmanda1'
import numpy as np
import predictorGenerator as helper
import pandas as pd
def compute_portvals(start_date, end_date, orders_file, start_val):
"""Compute daily portfolio value given a sequence of orders in a CSV file.
File contains - list orders
Load historical data
Execute th... |
# Filename: backup_ver1.py
import os
import time
# 1. The files and directories to be backed up are specified in a list.
source = ['C:\\Users\\Hugo\\Pictures', 'G:\\kankan']
# 2. The backup must be stored in a main backup directory
targetDir = 'E:\\Backup'
# 3. The files are backed up into a zip file.
#... |
import json
def labels(repos=None, labels=None):
if not repos:
repos = json.load('agile/labels.json')
if not labels:
labels = json.load('agile/labels.json')
# loop through repos and get all labels
for repo in repos:
pass
|
"""Модуль настроек проекта."""
import os
from dotenv import find_dotenv, load_dotenv
load_dotenv(find_dotenv())
class Config:
APP_NAME = os.getenv('APP_NAME', 'Junior')
DEBUG = os.getenv('DEBUG', False)
CSRF_ENABLED = os.getenv('CSRF_ENABLED', True)
WTF_CSRF_SECRET_KEY = os.getenv('WTF_CSRF_SECRET_... |
# -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 LE GOFF Vincent
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# ... |
import random
continue_playing = 'y'
guess = input('Guess a number from 1 through 10: ')
while continue_playing == 'y':
random_number = random.randint(1, 10)
while int(guess) != random_number:
guess = input('Guess a number from 1 through 10: ')
continue_playing = input('You guessed right! Want to continu... |
#https://code-maven.com/list-comprehension-vs-generator-expression
"""
A Generator Expression is doing basically the same thing as a List Comprehension does, but the GE does it lazily.
The difference is quite similar to the difference between range and xrange.
A List Comprehension, just like the plain range function,... |
# -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from scrapy_selenium import SeleniumRequest
from selenium.webdriver.common.keys import Keys
class ExampleSpider(scrapy.Spider):
name = 'example'
def start_requests(self):
yield SeleniumRequest(
url = 'https://www.du... |
#!/usr/bin/env python3
"""
This module provides a class that stores the configuration of the overall build.
"""
from collections import OrderedDict
from pathlib import Path
from typing import Dict, List
from dbd.component_config import ComponentConfig
class Configuration:
"""
A class that holds information ... |
# coding: utf-8
import hashlib
from django.shortcuts import render, render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.models import User, auth
from django.views.decorators.csrf import csrf_exempt
from models import DevUser
from token import get_token
from tasks impor... |
"""
help calculating frequency of a signal
"""
import numpy as np
import traceback
class Signal:
"""
an advanced signal library
"""
def __init__(self, values, sampling_rate):
"""
:param values: values of the signal
"""
self.values = values
self.sampling_rate = ... |
# remove all leading zeros' from an IP address
import re
ip_pattern = r'(\d{1,3}.){3}\d{1,3}'
ip_list = ['002.1.1.111','01,01,01,011','090,0,0,1','999,,001,100']
for ip in ip_list:
re_result = re.match(ip_pattern,ip)
if re_result:
result = re_result.group()
for _ in range(2):
if re... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('flowstands', '0005_flowstand_customer'),
]
operations = [
migrations.AddField(
... |
"""Functions for registering OpenAPI specs with a Connexion app instance."""
from json import load
import logging
import os
from shutil import copyfile
from typing import (List, Dict)
from connexion import App
from yaml import safe_dump
from pro_tes.config.config_parser import get_conf
# Get logger instance
logger... |
import os
import json
path = 'item'
config = {}
for fn in os.listdir(path):
if os.path.isfile(os.path.join(path, fn)):
if fn[-5:] == '.json':
#print(fn)
with open(os.path.join(path, fn), 'r') as fp:
obj = json.load(fp)
obj['asset'] = []
config[... |
from measure import measure
from measurehills import measure_hills
from cavegen import generateGrid
def generate_data(N, settings):
results = []
r, n, T, M = settings
for i in range(N):
results.append(measure(generateGrid(r, n, T, M)))
return results
def simulate_on_r(N, rvals, nTM):
res... |
import os
import pathlib
import numpy as np
import tensorflow.compat.v1 as tf
from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file
def get_single_col_by_input_type(input_type, column_definition):
l = [tup[0] for tup in column_definition if tup[2] == input_type]
if len(l) != ... |
from database import db
from models.profession import Profession
class Vacancy(db.Model):
id = db.Column(db.Integer, primary_key=True)
profession = db.relationship("Profession", uselist=False)
number = db.Column(db.Integer)
section_id = db.Column(db.Integer, db.ForeignKey('section.id'),
nullabl... |
#-*- coding : utf-8 -*-
class Conversion( object ):
def __init__(self):
pass
def stringToBytes(self,str):
if str is not None:
return bytes(str,encoding="utf8")
def bytesToString(self,byt):
if byt is not None:
return str(byt,encoding="utf8")... |
class Settings:
"""A class to store all settings for the game"""
def __init__(self):
"""Initialize the game's settings"""
# Screen Settings
self.screen_width= 1200
self.screen_height= 800
self.bg_color= (230,230,230)
#Ship settings
self.ship_speed=1.5
... |
class Node:
def __init__(self, val):
self.val = val
self.next = None
node1 = Node(1)
node2 = Node(2)
node3 = Node(3)
class LinkedList:
def __init__(self):
self.head = None
def printVal(self):
currentNode = self.head
while currentNode:
print(curren... |
from .OmokBoard import *
from .BoardViewer import *
import threading
class Omok:
size = 0
length = 0
omokBoard = None
boardViewer = None
def __init__(self, length = 15, size = 40):
self.size = size
self.length = length
self.initOmokBoard()
if size != -... |
import torch
import re
from vncorenlp import VnCoreNLP
from transformers import AutoModel, AutoTokenizer
import pandas as pd
data = pd.read_csv("logvideo_20201013.csv")
rdrsegmenter = VnCoreNLP("./vncorenlp/VnCoreNLP-1.1.1.jar", annotators="wseg", max_heap_size='-Xmx500m')
phobert = AutoModel.from_pretrained("vina... |
import pickle
class KNN_regression:
def __init__(self):
self.knn=pickle.load(open('model/knn.pickle','rb'))
self.scale=pickle.load(open('model/scaler.pickle','rb'))
def predict(self,x):
t2=self.scale.transform(x.reshape((1,-1)))
prediction=self.knn.predict(t2)[0]
return prediction
|
arr = [i for i in input().split()]
arr[0] = int(arr[0])
arr[2] = int(arr[2])
def summ(a, b):
return a + b
def mul(a, b):
return a * b
def div(a, b):
if b == 0:
print("Divide by zero!!")
return -1
else:
return a / b
def subtract(a, b):
return a - b
operations = {
... |
#!/usr/bin/python2.4
# Copyright 2008 Google 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.txt
#
# Unless required by applicable law or ... |
#Heather Stafford
#5/21/18
#quiz6.py
file = open('engmix.txt')
"""
#Program #1
letter1 = input('Enter a letter: ')
for line in file:
if line.count(letter1) >= 4:
print(line.strip())
#Program #2
word = ''
for line in file:
if len(line) >= 9:
if line[0] == line[4] and line[0] == line[8]:
... |
from django.shortcuts import render
from .articles import getArticles
def home(request):
articles = [getHtml(a) for a in getArticles(10)]
context = {
'title' : 'HOME',
'articles' : articles
}
return render(request, 'interest_site/home.html', context)
def about(request):
context = ... |
DEBUG = True
def app (env, start_response):
start_response ("200 OK", [("Content-Type", "text/plain")])
return ['pong']
|
from xml.dom import NamespaceErr
from lxml import etree
from datetime import datetime
from dojo.models import Finding
def truncate_str(value: str, maxlen: int):
if len(value) > maxlen:
return value[:maxlen - 12] + " (truncated)"
return value
# This parser is written for Veracode Detailed XML reports... |
import math
n,w,h = map(int, input().split())
limit = int(math.sqrt((w**2)+(h**2)))
for i in range(n):
print("DA") if(limit >= int(input())) else print("NE") |
from .models import Empresa
from rest_framework import serializers
class EmpresaSerializer(serializers.ModelSerializer):
class Meta:
model = Empresa
fields = ('id', 'nombre', 'id_externo', 'nombre_corto', 'color') |
from create_flask_api.project import ProjectSpecs
from .mixins import FeatureMixin
from create_flask_api.assets.file_paths.heroku_paths import heroku_paths
from create_flask_api.assets.questions.heroku_questions import heroku_questions
from create_flask_api.assets.corrections.heroku_fix import heroku_fix
class Heroku... |
"This is for study purpose"
defaultdict
>> s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
>>> d = defaultdict(list)
>>> for k, v in s:
... d[k].append(v)
...
>>> d.items()
[('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])]
>> s = 'mississippi'
>>> d = defaultdict(int)
>>> for k in s:... |
import unittest
# 定义加法函数
def add(x, y):
return x + y
class Test1(unittest.TestCase):
def test_func1(self):
# 应用：多用于判断是否相等
# 语法：assertEqual(预期结果, 实际结果)
# 注意：断言异常类型 AssertionError
result = add(13, 14)
self.assertEqual(27, result)
if __name__ == '__main__':
unitte... |
# coding=utf-8
# coding: utf-8
import random
import codecs
from tkinter import *
import winsound
import time
# klasa Nagroda (z niej dziedziczone będą treści nagórd i wartości, które one przyjmują)
class Nagroda:
# ładowanie bazy pytań o nazwie pytania.txt
file_name = "pytania.txt"
przeszkoda_1 = []
... |
from sqlalchemy.sql import func
from config import db
class Dojo(db.Model):
__tablename__ = "dojos"
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(45))
city = db.Column(db.String(45))
state = db.Column(db.String(45))
created_on = db.Column(db.DateTime, server_default=f... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.