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import pandas as pd
import numpy as np
import seaborn as sns
sns.set(style="white")
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn.preprocessing import StandardScaler, normalize
from sklearn.model_selection import train_test_split, KFold,RepeatedStratifiedKFold,RandomizedSearchCV,cross_val_sco... |
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import seaborn as sns
from utils import plot
###############################################################################
# plot mean aligned boolean traces
###############################################################################
ali... |
arr = [1,0,0,1,0,0, 1]
count_index = []
count_values = []
sum1 = 0
ct0 = ct1 = 0
sum1 = sum(arr)
diff = 0
for i in range(1,len(arr)):
for j in range(0,i):
arr_temp = arr[j:i]
ct0 = ct1 = 0
for k in range(0,len(arr_temp)):
if (arr_temp[k] == 0):
ct0 += 1
... |
from flask import Flask,redirect, url_for,render_template, request,session,flash,request, jsonify
from flask_wtf import FlaskForm
from wtforms import StringField , PasswordField,SubmitField
from flask_sqlalchemy import SQLAlchemy
from wtforms.validators import DataRequired,Length, Email , EqualTo, ValidationError
... |
# -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(390, 333)
MainWindow.setFixedSize(500, 333)
self.centralwidget = QtWidgets.QWidget(MainWindow)
... |
# File: Queens.py
# Description: All queen positions without them attacking each other
# Student Name: Pranjal Jain
# Student UT EID: pj5775
# Partner's Name: Maurya Atluri
# Partner's UT EID: ma57744
# Course Name: CS 313E
# Unique Number: 50300
# Date Created: 3/13/20
# Date Last... |
from peewee import *
MySQLDatabase.connect("localhost", "root", "123456", "houseinfo", charset='utf8') |
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 6 11:15:31 2021
@author: he
"""
import pandas as pd
df = pd.read_csv('news.csv')
df.columns
data = df.drop('Unnamed: 0', axis=1)
data.to_csv('final_news_data.csv', index=False)
new = pd.read_csv('final_news_data.csv') |
# coding: utf-8
import sys
import requests
GITHUB_URL = 'https://api.github.com/repos'
def _get_bar(num, total):
return ('+' * num) + (' ' * (total - num))
class Repo(object):
def __init__(self, full_name):
self.full_name = full_name
self.name = None
self.stars = None
self... |
'''
Created on 2013-04-19
@author: Ian
'''
from django.contrib import admin
from forum.models import Comment
admin.site.register(Comment)
|
from unittest import TestCase, main
from core.qm.qm import QM
class TestQM(TestCase):
def setup(self):
self.fail()
def test_to_binary(self):
#test if the strings are the actual binary representations
#for each of the strings
minterms = [1,2,3,4,5,6,15]
qm = QM... |
# Generated by Django 3.2.5 on 2021-08-04 21:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('account', '0015_auto_20210804_1933'),
]
operations = [
migrations.AlterField(
model_name='user',
name='cv',
... |
# ----------------------------------------------------------
# this code is for plotting potentials whose with rank 1
# ----------------------------------------------------------
def plot_pot_pi_plus(pot_list, figpath):
# ----------------------------------------------------------
# import
# -------------... |
from unittest import TestCase
from webauthn.helpers.tpm.parse_cert_info import parse_cert_info
from webauthn.helpers.tpm.structs import TPM_ALG, TPM_ST
class TestWebAuthnTPMParseCertInfo(TestCase):
def test_properly_parses_cert_info_bytes(self) -> None:
cert_info = b'\xffTCG\x80\x17\x00"\x00\x0bW"f{J5_9"... |
import os
from flask import Flask
from flask import render_template
from flask import request
app = Flask(__name__)
#Create our index or root / route
@app.route("/")
def home():
return render_template('home.html')
@app.route("/index", methods=["GET", "POST"])
def index():
notes = [{ "name":"First Note Ever",
... |
#!/usr/bin/env python
# coding: utf-8
# In[6]:
get_ipython().system('apt-get -y install git wget aria2')
get_ipython().run_line_magic('cd', '/workspace/')
# In[9]:
get_ipython().system('wget --no-clobber https://storage.googleapis.com/conceptual_12m/cc12m.tsv')
# In[5]:
get_ipython().system('wget https://sto... |
from featuretools.primitives import AggregationPrimitive
from featuretools.variable_types import Numeric
from tsfresh.feature_extraction.feature_calculators import range_count
class RangeCount(AggregationPrimitive):
"""Count observed values within the interval [min, max).
Args:
min (float) : The incl... |
"""Script for running Pokemon Simulation."""
from threading import Thread
from queue import Queue
from time import time
from agent.basic_pokemon_agent import PokemonAgent
from agent.basic_planning_pokemon_agent import BasicPlanningPokemonAgent
from battle_engine.pokemon_engine import PokemonEngine
from file_manager.l... |
from superhero_api import SuperHeroAPI, API_KEY
class SuperHeroApp():
def __init__(self):
self._s = SuperHeroAPI(API=API_KEY)
self._status = True
self._prelude_text = '''Ну привет странник. че забрел? либо иди отседа либо используй команды.
help - список команд
compa... |
def describe_city(city,country):
print(city,"is in",country)
describe_city("Karachi","Pakistan")
describe_city("Bonn","Germany")
describe_city("Moscow","Russia") |
def extract_menu_day_elements(day, parent_element):
return parent_element.find('div', {'id': 'menu-plan-tab' + str(day)})
def extract_menu_item(parent_element):
return parent_element.findAll('div', {'class': 'menu-item'})
def extract_menu_title(parent_element):
menu_title = parent_element.find('h2', {'c... |
import FWCore.ParameterSet.Config as cms
myan = cms.EDAnalyzer('HcalTimingAnalyzer',
eventDataPset = cms.untracked.PSet(
simHitLabel = cms.untracked.InputTag(""), # change it if you want 'em
hbheDigiLabel = cms.untracked.InputTag(""), # change it if you want 'em
hbheRechitLabel = cms.untrac... |
import pandas as pd
import numpy as np
from quant.stock.stock import Stock
from quant.stock.date import Date
import statsmodels.api as sm
def PriceDelay(beg_date, end_date):
"""
因子说明：价格延迟
时间序列上，用股票收益对当期市场收益做回归，记为回归1，回归长度为LongTerm
时间序列上，用股票收益对当期市场收益和过去N天市场收益做回归，记为回归2，回归长度为LongTerm
计算回归1的R2除以回归2的R2... |
# univariate cnn example
from numpy import array
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers.convolutional import Conv1D
from keras.layers.convolutional import MaxPooling1D
import pandas as pd
import numpy as np
import sklearn.metrics as skm
impo... |
# class in the poppins thingamajig
from poplib import *
class poppinsMary:
def __init__(self):
popIp='aaa.bbb.ccc.ddd'
popAddr='email@address.com'
popPass='EmailPassword'
class poppins:
def __init__(self):
x=poppinsMary()
self.popSrvr = POP3(x.popIp) # ip works better than url
... |
from django.db import models
class Company(models.Model):
id = models.IntegerField(primary_key=True, auto_created=True)
ticker_symbol = models.CharField(max_length=6, unique=True)
name = models.CharField(max_length=150)
url = models.CharField(max_length=150)
business = models.CharField(max_length=1... |
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def __init__(self):
self.head = None
self.tail = None
def addNode(self, node):
self.tail.next = node
self.ta... |
from flask import render_template, flash, redirect, request, url_for, send_from_directory,session
from app import app
from .forms import Setting
from .forms import Add
from werkzeug import secure_filename
import os
import time
import random
import MySQLdb
import hashlib
import models_admin
from random import... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#--------------------------------------
# Clase que describe el comportamiento del sistema de ILUMINACION de HydroPonic System
#
# Authors : [Matias Deambrosi, Juan Jose Conejero Serna]
# Date : 21/10/2015
#
# Contact: [md9@alu.ua.es, jjcs2@alu.ua.es]
#
#----------------... |
from inspect import isfunction, isclass
class PollenException(Exception):
pass
class OverwriteServiceError(PollenException):
pass
class UndefinedServiceNameError(PollenException):
pass
class ConfigurableServiceError(PollenException):
pass
class Pollen(object):
def __init__(self):
s... |
"""
Trace the execution of the code in Example 5.2 on paper showing
the contents of the run-time stack just before the function call returns.
"""
# val
# Main activation record
# y
# x |
import pymysql
import matplotlib.pyplot as plt
plt.rcParams['font.family'] = ['sans-serif']
plt.rcParams['font.sans-serif'] = ['SimHei']
conn = pymysql.connect(
host = "localhost",
user = "root",
port = 3306,
db = "bilibili"
)
cur = conn.cursor()
cur.execute("SELECT s... |
import matplotlib.pyplot as plt
import numpy as np
def filter_stat_data(x, y):
new_x = []
new_y = []
for k in range(0, (len(x) - 1)):
if x[k] > 12000:
new_x.append(x[k])
new_y.append(y[k])
return new_x, new_y
def fit_data(x, y):
return np.polyfit(y, x, 1)
def fi... |
import argparse
from common_crawl.finder.product_finder import ProductFinder
from common_crawl.save.json_save_products import JsonSaveProducts
from product.extractors import tesco_extractor
from common_crawl.utils import search_domain
import time
# Scans common crawl information for products and saves them.
def main... |
import numpy as np
import pandas as pd
# documentation
# output: clean data set, remove missing values and convert categorical values to binary, extract sensitive features
# for each data set 'name.csv' we create a function clean_name
# clean name takes parameter num_sens, which is the number of sensitive attributes t... |
from django.conf.urls import patterns, include, url
from yasana import urls as yasana_urls
from account import urls as account_urls
from api import urls as api_urls
from partials import urls as partial_urls
urlpatterns = patterns('',
url(r'^', include(yasana_urls, namespace='yasana')),
... |
import unittest
def fun(x):
return "test"
class MyTest(unittest.TestCase):
def test(self):
self.assertEqual(fun(1), "test")
|
import torch
import dgl
from model import GraphTransformerNet
import torch.nn.functional as F
import torch.nn as nn
from data import GraphDataset, collate
from torch.utils.data import DataLoader
import datetime
# device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
device = torch.device('cpu')
def... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import unittest
import json
class PasswordWithJsonTestCase(unittest.TestCase):
data_file_path = './user_data.json'
def setUp(self):
print('set up')
self.test_data = json.loads(open(self.data_file_path).read())
@unittest.skip('test_weak_pass... |
from main.models import Contact
from django.shortcuts import render,redirect
from datetime import datetime
from main.models import Contact,Product,Order
from django.contrib import messages
from django.contrib.auth.models import User
from django.contrib.auth import authenticate,login
from django.contrib.auth.forms impor... |
__all__ = ["UploadStrategy", "FileUploadStrategy", "UserInputUploadStrategy"]
from rest_api.views.strategies.upload import UploadStrategy, FileUploadStrategy, UserInputUploadStrategy
|
#!/usr/bin/env python
# encoding:UTF-8
import unittest
from app.student.homework.object_page.homework_page import Homework
from app.student.login.object_page.home_page import HomePage
from app.student.login.object_page.login_page import LoginPage
from app.student.login.test_data.login_failed_toast import VALID_LOGIN_T... |
import numpy as np
import matplotlib.pyplot as plt
from copy import copy
# for armchair junctiong
# declare parameters
# dimension default: energy is eV, length is 10^-10
me = 0.51099895000*(10**6) / (299792458**2) # 전자의 질량 MeV/c**2
hbar = 6.582119569 * 10**(-16)
K0 = 2.35*10**(-9)
vy = 5.6*10**5
m = 1.42*me
mx = 0.... |
# A simple lambda function that check if a port on a host is open and pushes a cloudwatch metric
import json
import boto3
import socket
def lambda_handler(event, context):
# Check if port is open or not (try to connect to a port on a server - timeout set to 1 sec)
ip = event['ip']
port = event['port']
... |
""" kalman_filter_dependent_fusion
Uses the test and using taking the dependence into account. Follows Bar-Shaloms formulas for doing so.
"""
import numpy as np
from stonesoup.models.measurement.linear import LinearGaussian
from stonesoup.models.transition.linear import CombinedLinearGaussianTransitionModel, Constan... |
"""Construct a profile with two hosts for testing owamp
Instructions:
Wait for the profile to start. . .
"""
# Boiler plate
import geni.portal as portal
import geni.rspec.pg as rspec
request = portal.context.makeRequestRSpec()
# Get nodes
host = request.RawPC("host")
target = request.RawPC("target")
# Force hardw... |
# a=[1,2,8,7,6,3,4,5]
# i=0
# b=[]
# while i<len(a):
# if i%2==0:
# pass
# else:
# b.append(a[i])
# i=i+1
# i=0
# while i <len(b):
# j=i
# var=0
# while j<len(b):
# if b[j]>b[i]:
# var=b[i]
# b[j]=b[i]
# b[j]=var
# i=i+1
# x=0
#... |
# KEEP THIS SECRET
CONSUMER_KEY = ''
CONSUMER_SECRET = ''
ACCESS_TOKEN = ''
ACCESS_TOKEN_SECRET = ''
|
from bs4 import BeautifulSoup
import urllib.request
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "app.settings.dev")
from django.db import models
from person.models import Person
# class Person:
# def __init__(self, fullname, firstname, lastname, location):
# self.fullname = fullname
# self.fi... |
"""
A MNIST classifier using batch normalization.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
import tempfile
import tensorflow as tf
import tensorflow.contrib.layers as layers
from tensorflow.examples.tutorials.mnist impor... |
def main():
num = int(input("Digite o número: "))
result = verifica_numero_primo(num)
print(result)
def verifica_numero_primo(num):
if num>=0 and num<=100:
if num % num == 0 and num % 1 == 0 and not num % 2 == 0:
return "é primo"
elif num == 2:
re... |
from numbers import Number
import math
class RegularConvexPolygon:
'''A Regular Strictly Convex Polygon'''
def __init__(self, edges:int, radius:Number)->None:
'''Polygon initializer with attributes edges and radius'''
self.edges = edges
self.radius = radius
def __validate_edges(sel... |
import cv2
WINDOW_ID = '0x2800018' # さっき確認したID
video = cv2.VideoCapture(f'ximagesrc xid={WINDOW_ID} ! videoconvert ! appsink')
while cv2.waitKey(1) != 27:
ok, img = video.read()
if not ok:
print("Error brank")
break
cv2.imshow('test', img) |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pickle
from sklearn.ensemble import RandomForestRegressor
from sklearn.neural_network import MLPRegressor
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import LabelBinarizer, MinMaxScaler, Imputer
from basic.bupt_2017_11_... |
def display_menu():
print("-" * 30)
print(" 图书馆管理系统 v8.8 ")
print("1.登录/注册")
print("2.新书上架")
print("3.热书推荐")
print("4.退出系统")
print("-" * 30)
def menu1():
print("-" * 30)
print(" 管理员入口 ")
print("1、读者管理")
print("2、图书管理")
print("3、退出系统")
print("-" * 30... |
from sqlalchemy import Column, Integer, String, Date, ForeignKey, Float, Boolean, DateTime
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Product(Base):
__tablename__ = 'products'
Product_id = Column(Integer, primary_key=True)
name = Column(String)
price = Column(Float)
P... |
# Copyright 2014 Baidu, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file
# except in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwa... |
import tensorflow as tf
class GRUCellWithBahdanauAttention(tf.contrib.rnn.GRUCell):
def call(self, inputs, state):
return inputs, state
### YOUR CODE HERE
### Make sure all variable definitions are within the scope!
raise NotImplementedError("Need to implement the GRU cell \
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Public.BasePage import BasePage
from Public.maxim_monkey import Maxim
from Public.Decorator import *
from uiautomator2 import UiObjectNotFoundError
class login_page(BasePage):
@teststep
def wait_page(self):
try:
if self.d(text='ECOPRO... |
'''
Hello my name is Ethan Dewri. This program will scramble text into a two rail cypher and give enctpted and decrypted
messages.
Scorces :
https://www.youtube.com/watch?v=qOlJwi9mu2Q
https://www.youtube.com/watch?v=uaCumJi4Iuw
'''
choice = input("You shall have the ability to encrypt or decrypt anything th... |
from ham.util import radio_types
from ham.util.data_column import DataColumn
class DmrId:
@classmethod
def create_empty(cls):
cols = dict()
cols['number'] = ''
cols['radio_id'] = ''
cols['name'] = ''
return DmrId(cols)
def __init__(self, cols):
self.number = DataColumn(fmt_name='number', fmt_val=cols[... |
class Solution(object):
def checkPossibility(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
not_working = 0
N = len(nums)
for idx in range(N-2):
if nums[idx] > nums[idx+1]:
if nums[idx] <= nums[idx+2]:
... |
# Generated by Django 3.2.4 on 2021-07-03 17:07
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('nduggaapp', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='category',
name='name',
... |
#!/usr/bin/env python2.5
#######################################################################
#
# Copyright (c) Stoke, Inc.
# All Rights Reserved.
#
# This code is confidential and proprietary to Stoke, Inc. and may only
# be used under a license from Stoke.
#
########################################################... |
import numpy as np
import matplotlib.pyplot as plt
positions = np.loadtxt("test-positions.txt")
plt.plot(positions[:, 0], positions[:, 1])
plt.show()
|
import boto3
from decimal import Decimal
import numpy as np
from boto3.dynamodb.conditions import Key, Attr
def get_table_metadata(table):
"""
Get some metadata about chosen table.
"""
return {
'num_items': table.item_count,
'primary_key_name': table.key_schema[0],
'status': t... |
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 7 14:15:38 2016
@author: 3201955
"""
import random
import numpy as np
import math
import matplotlib.pyplot as plt
N = 1000
#random points in triangle ABC
def monteCarlo_triangle(A,B,C,N):
r1 = np.random.uniform(0,1,N)
r2 = np.random.uniform(0,1,N)
x=(1-np... |
import os
import platform
import subprocess
import re
import psutil
from time import sleep
from flask import render_template, abort, request, send_file, flash, redirect, url_for
from arm.ui import app, db
from arm.models.models import Job, Config
from arm.config.config import cfg
from arm.ui.utils import convert_log, ... |
"""
Write a program that walks through a folder tree and searches for files with a
certain file extension. Copy these files from whatever location they are in to a new folder.
"""
import shutil, os
def filesCopy(folderLocation, extension, destination):
folderLocation = os.path.abspath(folderLocation)
for fold... |
from django.db import models
class Usuario(models.Model):
nombre= models.CharField(max_length=20)
correo= models.CharField(max_length=30)
def __str__(self):
return"%s - %s"%(
self.nombre,
self.correo)
# Create your models here.
|
import os
import h5py
import numpy as np
import argparse
import json
from tensorflow.keras.preprocessing import image
from tensorflow.keras.models import Model, load_model
from tensorflow.keras.applications.resnet_v2 import preprocess_input
label_list = ['Abyssinian','Bengal','Birman','Bombay','British_Shorthair','Eg... |
#!usr/bin/python
#coding:utf-8
class panda():
"趴趴熊"
pandacount=0
foodcount = 0
def __init__(self,name,bamboo=0):
self.name = name
self.bamboo = bamboo
panda.pandacount += 1
panda.foodcount = panda.foodcount + bamboo
def climd(self):
print "%s 趴趴……" % self.name
def food(self):
print "吃了 %d 个……" % self... |
#
# Copyright 2018 Analytics Zoo Authors.
#
# 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... |
from tritium.apps.subscriptions.views import SubscriptionViewSet, TransactionViewSet
from tritium.apps.users.views import UserViewSet, APICreditViewSet, APIKeyViewSet
from rest_framework.routers import DefaultRouter
from tritium.apps.networks.views import NetworkViewSet
router = DefaultRouter()
router.register(r'subsc... |
# Created by Gustavo A. Diaz Galeas
#
# A sample program for an assignment for the students enrolled in the AP
# Computer Science course at Colonial High School in Orlando, Florida.
#
# Purpose: To implement a program that prints out a customers receipt upon
# order placement. A worker inputs the necessary data, ... |
def isEven(n):
if n % 2 == 0:
return True
else:
return False
def isDivisibleBy3(n):
if n % 3 == 0:
return True
else:
return False
for i in range(1,20+1):
if isDivisibleBy3(i) and isEven(i):
print(i,'<=')
else:
if isEven(i) and isDivisibleBy3(i) ... |
# numpy has an insanely powerful way to create 'dictionaries' from an array (a):
lut, ndx = np.unique(a, return_inverse=True)
# Now you have a list of unique values in (lut) and a list of indices to them in (ndx) ...fast!
# Depending on number of distinct values, index array can be compressed to file by typecasting:
... |
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
df = pd.read_csv(r"data/abalone.csv")
group = df.groupby('Sex')
keys = ['M', 'F', 'I']
'''
for all data, "rings" is dependent, scatter
'''
fig1 = plt.figure(figsize=(12, 16))
for i in range(1, 8):
ax = fig1.add_subplot(3, ... |
from django.http import HttpResponse
def ola(request):
return HttpResponse("<h1 style='color:Red'>Projeto 1</h1></br><h3>Coisas para colocar.</h3></br><h3>Mais coisas para colocar.</h3>")
|
# To rearrange a sorted array in the max min form.
# for e.g. given_array = [1,2,3,4,5,6,7,8,9]
# answer_array = [9,1,8,2,7,3,6,4,5]
def Convert_to_max_min(arr, n):
temp_arr = []
# to denote the begining of the array
start = 0
# to denote the end of the array
end = n-1
max = True
while s... |
dirName = input("| Enter Directory Name : ")
print('|\n|\033[92m Directory Created\033[0m')
fileName = []
responseCode = 1
while(responseCode < 5 and responseCode > 0):
print('|\n| Operations\n|\n| 1.Create File\n| 2.Delete File\n| 3.Search in Directory\n| 4.View All Files\n| 5.Exit\n|')
responseCode = int(inpu... |
from django_tables2 import Table, Column
from .models import Fights
from django.utils.safestring import mark_safe
from units.models import Unit
from types import MethodType
from math import log
def col_style():
return {'td': {"style": "text-align:center;"},
'th': {"style": "text-align:center;"}}
de... |
import moodleGradeHandler as mgh
if __name__ == "__main__":
username = input('Please Enter Username\n')
password = input('Please Enter Password\n')
course_url = input('Please Enter Exam URL\n'
'For Example: https://moodle2.bgu.ac.il/moodle/mod/quiz/view.php?id=1853627\n')
... |
import vodka
import vodka.plugins
# vodka.plugin.register('my_plugin')
# class MyPlugin(vodka.plugins.PluginBase):
# pass
|
class Solution:
def generate(self, numRows: int) -> List[List[int]]:
res=[[] for i in range(numRows)]
for i in range(numRows):
temp=[1]*(i+1)
for j in range(1,i):
temp[j]=res[i-1][j-1]+res[i-1][j]
res[i]=temp
return res
|
"""
Dictionary
* try except playground
📚 Resources:
https://www.youtube.com/watch?v=rfscVS0vtbw&t=1s&ab_channel=freeCodeCamp.org
"""
try:
number = int(input('Enter a number: '))
print(number)
except ZeroDivisionError:
print('Divided by zero')
except ValueError:
print('Invalid input')
|
import requests
url = 'https://v7.wuso.tv/wp-content/uploads/2018/03/asdysb0320007.mp4'
headers = {'Referer': 'https://wuso.me/',
'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1'}
req = requests.get(url,... |
from .exceptions import *
import random
# Complete with your own, just for fun :)
LIST_OF_WORDS = []
def _get_random_word(list_of_words):
# Exception check
if not list_of_words:
raise InvalidListOfWordsException()
# Using a random integer as an indexer to select a word
rand_indexer = random.... |
# -*- coding:utf-8 -*-
import web
from jinja2 import Template
import os
import sys
reload(sys)
#使用utf8编码
sys.setdefaultencoding('utf-8')
# 导入MySQL驱动:
import pymysql
import json
import urllib2
import re
urls = (
'/search/(.*)', 'search',
'/mh/([\d,/]*)','result',
'/test','index',
'/mh/(\d*)/(.*)','comic'
)
class... |
#%%
import wrf as w
import xarray as xr
from netCDF4 import Dataset
import pandas as pd
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cmaps
import os
import sys
sys.path.append('/home/zzhzhao/code/python/wrf-test-10')
from zMap import set_grid, add_NamCo
import warnings
warnings.filterwarnings("i... |
class Node:
def __init__(self,data):
self.data = data
self.next = None
class Linklist:
def __init__(self):
self.head = None
def insert(self,data):
newNode = Node(data)
newNode.next = self.head
self.head = newNode
def print(self):
temp = self.head
while(temp):
print(temp... |
from .Config import Config
from .Package import Package
class Manager():
STATUS_PROCESSING = 'PROCESSING'
STATUS_READY = 'READY'
def __init__(self):
self.status = self.STATUS_READY
def process(self):
self.status = self.STATUS_PROCESSING
for source in Config().get('sources'):
... |
import psycopg2
import sys
sys.path.append('/home/proj/price_keeper')
from price_keeper import TokenInfoDB
import json
db = TokenInfoDB()
decimal_map = {t[0]: t[1] for t in db.get_all_decimal()}
with open('utils/decimal/token_decimal.json', 'w') as f:
f.write(json.dumps(decimal_map))
|
import datetime
import pytz
from smartweb_service.database import db
from smartweb_service.database.user_api_relation import UserApiRelation
def validate_api_key(api_key):
user_api_rel = UserApiRelation.query.filter(UserApiRelation.api_key == api_key).first()
if user_api_rel is None:
return False
return True
def... |
from Cell import Cell
from Constants import Constants
from Config import Config
from CubeCoord import CubeCoord
import random
class Board:
def __init__(self, seed):
self.map = {} # coord -> Cell
self.index = 0
if seed:
random.seed(seed)
self.generate()
def generateCell(self,... |
#python Wavelet.py
import numpy as np
from PyLets import MatPlotWavelets as mwl
from PyLets import Others as ot
from PyLets import SignalsAnalyses as sia
from PyLets import Wavelets as wale
t = np.linspace(0, 10,1000)
dilat = np.linspace(0, 0.5,1000)
WaveletSinal = wale.HermitianWavelet1(t,0.25,5)
sinal = wale.SinalB... |
#!/usr/local/bin/python
#-*- coding: UTF-8 -*-
#生成产品页面
##################################################
import string_data #变量保存
import Cmysql #数据库操作文件
import sfile #文件操作
import os
import re
import time
import random
def sj(): #产生随机字符
try:
#seed = "1234567890abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTU... |
"""Copyright (c) 2018 Great Ormond Street Hospital for Children NHS Foundation
Trust & Birmingham Women's and Children's NHS Foundation Trust
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software withou... |
from selenium import webdriver
from selenium.webdriver.common.by import By
import time
def run_forever_like_Forrest():
moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())
f = open('output '+moment+'.csv', 'w')
headers="LATER OI (CALL),CHANGE IN OI (CALL),LTP (CALL),NET CHANGE (CALL),STRIKE P... |
import argparse
import json
import math
import os
import shutil
import socket
from copy import deepcopy
from datetime import datetime
from pprint import pformat
from typing import Callable, Dict, Generator
import numpy
import psutil
import tensorflow as tf
import yaml
from tensorflow.python.keras.callbacks import Lamb... |
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