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import numpy as np
import Memory
import DDPG_Agent
import utils
import gym
import torch
def main():
env = gym.make('MountainCarContinuous-v0')
ram = Memory.MemoryBuffer(1000)
agent = DDPG_Agent.DDPGAgent(env.observation_space,
env.action_space, ram)
steps_done = 0
episode_reward = []
for epoch in range(1... |
# -*- coding: utf-8 -*-
__author__ = 'jayin'
def is_markdown_file(filename=''):
"""
判断给定的文件名是否是markdown文件
"""
if filename.endswith('.md') or filename.endswith('.markdown'):
return True
return False
def read_file(file_path):
"""
读取文件
:param file_path: 文件路径
:return: string
... |
def main():
#minvals = [10000 for i in range(99)]
#with open("output.txt") as out:
# lines = out.readlines()
# for linen in lines:
# line = linen.split(",")
# if len(line) >= 2:
# if (len(line[0].split(":")) == 2 and len(line[1].split(":")) ==2 ):
# ... |
import threading
import functools
"""本地异步任务装饰器，
用Thread类进行简单封装，执行中等耗时CPU任务，不带线程列队，执行完毕自动回收，
由于没有线程管理，短时间创建大量线程会增加进程管理负担，影响执行效率，所以不可频繁调用"""
def runTask(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
thread = threading.Thread(target=func, args=args, kwargs=kwargs)
thread.start()
... |
from rolepermissions.roles import AbstractUserRole
class AddUsers(AbstractUserRole):
available_permissions = {
'create_new_user': True,
}
class Loans(AbstractUserRole):
available_permissions = {
'approve_loan_application': True,
} |
from django.contrib import admin
from django import forms
from django.contrib.auth.models import User
from core.models import DashboardUser
class DashboardUserForm(forms.ModelForm):
first_name = forms.CharField(max_length=200)
last_name = forms.CharField(max_length=200)
username = forms.CharField(max_leng... |
def whichwayold():
# In a real system we would have a linked table containing exits
# For this flat file demo, we have a kludge to work out if there
# is a valid exit for the adventurer to go
chosenExit = ["", None]
response = input("Which way ? ")
response = response[:1].capitalize()
if res... |
import math as mt
micro_0 = 4*mt.pi*pow(10,-7)
t1 = 42
micro = 1*pow(10,-6)
rho_0 = 4.9
phi = 12*mt.pi/180
l = 2.9
electric_flow2 = 3*micro/micro_0 * mt.tan(phi)*l*rho_0
print(f"I = {electric_flow2} A")
a = 0.03
b = 0.06
c = 0.15
magnetic_flow_2 = (micro_0*t1/(3*a))*(pow(a,3) - pow(c,3) + pow(b,3))*((pow(b,4) - po... |
import tempfile
import isi.hw.check.lib.log as loglib
import isi.hw.check.lib.misc as misc
import isi.hw.check.lib.net as netlib
import isi.hw.check.lib.nettest as nettestlib
# jcc start
import sys
import signal
import time
import isi.hw.check.mfg.consts as consts
start_time = time.time()
abs_starttime = start_time
c... |
from typing import List
class Solution:
def sortedSquares(self, A: List[int]) -> List[int]:
B = sorted(A, key = abs) # sort by absolute values
res = list()
for elem in B:
res.append(elem*elem)
return res
# below is testing
sol = Solution()
print(sol.sortedSquare... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-12-20 12:29
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('hostmanager', '0021_auto_20181220_1149'),
]
operat... |
# Steve Ivy <steveivy@gmail.com>
# http://monkinetic.com
from random import random
from socket import socket, AF_INET, SOCK_DGRAM
class StatsdClient(object):
SC_TIMING = "ms"
SC_COUNT = "c"
SC_GAUGE = "g"
SC_SET = "s"
def __init__(self, host='localhost', port=8125):
"""
Sends stat... |
# Pattern Problems
rows = 7
columns = 7
print("# --- Left Triangle --- #")
for row_index in range(rows):
for column_index in range(columns):
if column_index <= row_index:
print("*", end="")
else:
print(" ", end="")
# Moving the cursor to next row
print()
"""
# Output... |
# Generated by Django 2.2.5 on 2019-10-20 10:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('wiki', '0007_auto_20191016_2104'),
]
operations = [
migrations.AlterField(
model_name='wikipage',
name='display_inde... |
import math
name=str(input()) #Here enter the name of the person
agent=int(input()) #Here enter count of the available agents at the moment
others=str(input()) #Here enter the all others' names
others=others.split(" ")
others.append(name)
others.sort()
index=others.index(name)
place=index+1
line=math.ceil(place/age... |
class Solution:
# @param A, a list of integers
# @return an integer
def trap(self, A):
length = len(A)
if length < 2:
return 0
count = 0
start = -1
pos = 0
while pos<length:
if A[pos] > 0 :
start = pos
... |
class Persona(object):
def __init__ (self, nombre, apellido, fecha_de_nacimiento, dni, direccion ):
self.nombre = nombre
self.apellido = apellido
self.fecha_de_nacimiento = fecha_de_nacimiento
self.dni = dni
self.direccion = direccion
def __str__ (self):
return ... |
from distutils.core import setup, Extension
hello_module = Extension('pokereplay', sources=['pokereplay.cpp'])
setup(name='pokereplay',
version='0.2.0',
description='Hello world module written in C++',
ext_modules=[hello_module])
|
import logging
from enso.contrib.scriptotron.tracebacks import safetyNetted
from enso.contrib.scriptotron.events import EventResponderList
class GeneratorManager(object):
"""
Responsible for managing generators in a way similar to tasklets
in Stackless Python by iterating the state of all registered
g... |
# -*- coding: utf-8 -*-
from Analyze import DataProcess as DP
import pandas as pd
import DataInter as DI
def batch_etf(etflist,cyclelist):
stragegyname = 'etfMonitor'
dataset = 'etfs'
tradeCycle = ''
filepath = DP.get_stragegy_filepath(stragegyname,dataset,tradeCycle)
colNames = ['code', 'tradeCyc... |
from allauth.socialaccount.providers.facebook.views import FacebookOAuth2Adapter
from dj_rest_auth.registration.views import SocialLoginView
from dj_rest_auth.views import UserDetailsView
from users.serializers import UserMeSerializer
class FacebookLogin(SocialLoginView):
adapter_class = FacebookOAuth2Adapter
... |
from math import exp
def discount_factor_observed_at(observation_date,
valuation_date, maturity, k, sigma, reference_curve):
"""
:param observation_date:
:param valuation_date:
:param maturity:
:param k: Mean Reversion Rate
:param sigma:
:param reference_cur... |
#!/usr/bin/env python
# encoding: utf-8
'''
@author: zst
@file: Locatation_curve_prediction.py
@date 2019-09-18 15:59
@desc:
'''
import numpy as np
from sklearn.preprocessing import PolynomialFeatures
import joblib
def prediction(LactationNumber, database):
# 305预测
X = np.arange(1, 306)[:, np.newaxis]
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
sys.path.insert(1, '../../')
from webserver.allinone_backend import launch_all_in_one_backend
launch_all_in_one_backend()
|
#!/usr/bin/python3
'''
This is the '5-hbtn_header.py' module.
5-hbtn_header takes in a URL, sends a request to the URL and displays the
value of the variable X-Request-Id in the response header.
Assignment Requirements:
* You must use the packages requests and sys
* You are not allow to import other packages than re... |
try:
file = open("lista.txt", 'r+')
print(open("lista.txt", 'r+').read())
except IOError:
file = open("lista.txt", 'w')
students = []
t = ''
while t != 'K':
t = input("Podaj liste studentow: [koniec: K ]")
students.append(t)
students = students[:len(students)-1]
if file.mode == 'w':
for line in ... |
#!/usr/bin/env python3
import os
import random
from typing import List
CONFIG_FILE = os.path.expanduser("~/.ssh/config")
def make_suffix_list(min: int, max: int) -> List[str]:
out = []
for i in range(min, max + 1):
out.append(str(i))
return out
NO_SUFFIX = [""]
SERVERS = {
#
# Off-C... |
#You are given an n x n 2D matrix representing an image.
#
#Rotate the image by 90 degrees (clockwise).
#
#Follow up:
#Could you do this in-place?
class Solution(object):
def rotate(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: void Do not return anything, modify matrix in-place instead.
"""
l... |
from random import randint, uniform,random
def nuevabanda():
r = randint(5,10)
instrumentos = ["Guitarra","Bajo","Piano","Maracas","Flauta","Acordeon","Gaita","Guacharaca","Llamador","Bateria"]
banda = []
for i in range(0,r):
ins = randint(0,9)
obj =instrumentos[i... |
import random
import os
import torch
from torch import nn
import numpy as np
import pandas as pd
from torch_geometric.utils import remove_self_loops
from rdkit import Chem
from rdkit.Chem.Scaffolds import MurckoScaffold
# binary class
class FocalLoss(nn.Module):
def __init__(self, gamma=2, alpha=0.25):
s... |
# test_fixture.py
import pytest
import os
import smtplib
# yield - Teardown
@pytest.fixture
def make_directory_and_txt_file_yield():
directory_name = "/data/"
directory_path = os.getcwd()+directory_name
try:
if not(os.path.isdir(directory_path)):
os.makedirs(os.path.join(directory_path... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2017-09-27 9:02:49
# @Author : kangvcar (kangvcar@126.com)
# @Link : http://www.github.com/kangvcar/
import ssl
from selenium import webdriver
def Start(url):
# 取消证书认证
ssl._create_default_https_context = ssl._create_unverified_context()
# 调用P... |
#!/usr/bin/env python
import socket
import ssl
import sys
TCP_IP = '127.0.0.1'
TCP_PORT = 8888
BUFFER_SIZE = 1024
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((TCP_IP, TCP_PORT))
ss = socket.ssl(s)
print ss.read(52-15)
while 1:
send = ''
send = raw_input("What to send: ") +... |
import os
import asyncssh
from app.utility.base_world import BaseWorld
class Tunnel(BaseWorld):
def __init__(self, services):
self.name = 'ssh_tunneling'
self.description = 'Accept tunneled SSH messages'
self.log = self.create_logger('tunnel_ssh')
self.services = services
... |
import sys, os
PROJECT_ROOT = os.path.dirname(__file__)
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
MONGODB_DATABASES = {
# 'default': {'name': 'ftlcopy'}
'default': {'name': 'ftlcopy', 'host': '52.77.232.185', 'po... |
""" Base class """
import numpy as np
class Baseset:
""" Base class """
def __init__(self, *args, **kwargs):
self._index = self.build_index(*args, **kwargs)
self.train = None
self.test = None
self.validation = None
self._iter_params = None
self.reset_iter()
... |
from setuptools import setup, find_packages
setup(
name = "django-test-utils",
version = "0.3",
packages = find_packages(),
author = "Eric Holscher",
author_email = "eric@ericholscher.com",
description = "A package to help testing in Django",
url = "http://github.com/ericholscher/django-tes... |
""" Linearly interpolated EOSs from tabulated values.
Tabulated values are copied from Norbert Wex's java code, with three columns
- rho: g/cm^3
- p: erg/cm^3 (g/s^2/cm)
- energy density / c^2: g/cm^3
"""
__author__ = "Lijing Shao"
__email__ = "Friendshao@gmail.com"
__license__ = "GPL"
import numpy... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#; Copyright 2016 <Benne>
#; https://github.com/Ro0x2A/
#; Creation date [11.06.2016]
import smtplib
class Mailer(object):
def __init__(self, server, port, usr, pwd='', debug=False):
self.smtp = None
self.server = server
self.port = int(p... |
from typing import AsyncGenerator
from uuid import uuid4
from api.repositories.base_repository import BaseRepository
class BucketRepository(BaseRepository):
@property
def collection_name(self) -> str:
return 'bucket'
async def upload_async(self, file: bytes) -> str:
user_id = str(uuid4(... |
import sys
from multiprocessing.pool import Pool as Pool
import requests
from requests.adapters import HTTPAdapter
from tqdm import tqdm
from sec_helpers import _fetch_helper
import multiprocessing
def download_10ks(cik_list_path, output_path):
adapter = HTTPAdapter(max_retries=10)
s = requests.Session()
... |
import netket as nk
import time
# 1D Lattice
L = 20
g = nk.graph.Hypercube(length=L, n_dim=1, pbc=True)
# Hilbert space of spins on the graph
hi = nk.hilbert.PySpin(s=0.5, graph=g)
# Ising spin hamiltonian
ha = nk.operator.Ising(h=1.0, hilbert=hi)
# RBM Spin Machine
alpha = 1
dtype = complex
ma = nk.machine.RbmSpi... |
class Solution:
# @return an integer
#just like 3-sum,O(n^2) times
#need to mark the cloest result
def threeSumClosest(self, nums, target):
nums.sort()
result=nums[0]+nums[1]+nums[2]
for i in range(len(nums)-1):
lo,hi=i+1,len(nums)-1
while(lo<hi):
... |
import os
import sys
import time
import random
import re
import json
import pickle
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from sklearn.manifold import TSNE
from collections import defaultdict
if __name__ == "__main__":
folders = [d for d in os.listdir(".... |
#coding=utf-8
#Exercise: Implement the sigmoid function using numpy.
#Instructions: x could now be either a real number, a vector, or a matrix. The data structures we use in numpy to represent these shapes (vectors, matrices…) are called numpy arrays. You don’t need to know more for now.
import numpy as np
def sigm... |
import lasagne
from lasagne.layers import InputLayer
from lasagne.layers import DenseLayer,DropoutLayer
from lasagne.layers import ConcatLayer
from lasagne.layers import NonlinearityLayer
from lasagne.layers import GlobalPoolLayer
from lasagne.layers.dnn import Conv2DDNNLayer as ConvLayer
from lasagne.layers.dnn import... |
from pathlib import Path
from typing import Any, Callable, Optional, Tuple
import pandas as pd
import torch
import torch.nn.functional as f
import PIL
from torch.utils.data import Dataset
class CelebA(Dataset):
'''
CelebA PyTorch dataset
The built-in PyTorch dataset for CelebA is outdated.
'''
b... |
from repository.jucator_repository import exceptie_repo
from domain.jucator_validare import exceptie_jucator
class MeniuBaschet:
def __init__(self, srv):
self.__srv = srv
def __adauga_jucator(self):
nume = input("Introduceti nume: ")
prenume = input("Introduceti prenume: ")
in... |
import fabric.api
def _marker(marker):
return ' # MARKER:%s' % marker if marker else ''
def _get_current():
with fabric.api.settings(fabric.api.hide('warnings', 'stdout'), warn_only=True):
output = fabric.api.run('crontab -l')
return output if output.succeeded else ''
def crontab_set(content):
""" Sets cronta... |
import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix,accuracy_score
dataset = pd.read_csv('practice.csv')
dataset.head()
X = dataset.iloc[:, 4:].values
Y = dataset.iloc[:, 3].values
from sklearn.cross_validation import train_test_split
X_train, X_test, Y_train, Y_test = train_test_split(... |
from stacker.blueprints.base import Blueprint
from troposphere import Ref
from troposphere_mate import Output
import troposphere_mate.ec2 as ec2
class Vpc(Blueprint):
VARIABLES = {
"CidrBlock": {
"type": str,
"description": "Vpc CidrBlock"
},
"PublicSubnets": {
... |
# Copyright (c) 2014-2017, iocage
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted providing that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and th... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^add/$', views.AddProduct.as_view()),
url(r'^list/(?P<company_id>\d+)/$', views.GetProducts.as_view()),
] |
from django.contrib import admin
from .models import *
class ProductAdmin(admin.ModelAdmin):
readonly_fields = ('id',)
class TechnologyAdmin(admin.ModelAdmin):
readonly_fields = ('id',)
class CasestudyAdmin(admin.ModelAdmin):
readonly_fields = ('id',)
class CaseGroupAdmin(admin.ModelAdmin):
readonly... |
import trimesh
import numpy as np
import slam.curvature as get_curvatures
if __name__ == '__main__':
# Generate a sphere
mesh = trimesh.creation.icosphere()
# Show th sphere
mesh.show()
# Calculate Rusinkiewicz estimation of mean and gauss curvatures
PrincipalCurvatures, PrincipalDir1, PrincipalDir2 = get_... |
def placar(pontos):
print(" _________________________________")
print("| |")
print("| ROBO: {:^24} |".format(pontos[0]))
print("| VOCÊ: {:^24} |".format(pontos[1]))
print("|_________________________________|") |
'''
return the kth last element of a list
'''
from llist import createRandomList
def getKthLastElem(inList, k):
'''
return the kth last element of inList (linked list)
'''
fwd, back = inList.head, inList.head
for _ in range(k):
if fwd is None:
raise IndexError("list index -%s o... |
from twisted.internet import protocol
from twisted.protocols.basic import LineReceiver
class ICUProtocol(LineReceiver):
def __init__(self, factory, conok_callback=None, rcv_callback=None):
self.factory = factory
self.conok_callback = conok_callback
self.rcv_callback = rcv_callback
def connectionMade(self):
... |
import serial , time
uart = serial.Serial('/dev/cu.usbmodem141103',115200,timeout=0)#acm0 or acm1
uart.close()
uart.open()
#uart.write('AE'.encode())
inTempIdx = 0
inHumIdx = 1
outTempIdx = 2
outHumIdx = 3
soilMoisureIdx = 4
fanStateIdx = 5
pumpStateIdx = 6
lightStateIdx = 7
stateFromSTM = [0 for i in range(8)]
u... |
import numpy as np
import re
from collections import Counter,defaultdict, deque
import itertools
from string import ascii_uppercase, ascii_lowercase
from copy import deepcopy
from blist import blist
data = open('input').read().strip().split(',')
dists = []
def get_dist(data):
counts = Counter(data)
reduced = {... |
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
import sqlite3
import os
import scrapy
from sc... |
# -*- coding: utf-8 -*-
"""
Copyright 2015 Creare
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... |
import mysql.connector
from mysql.connector import errorcode
class Translator():
def __init__(self):
self.host=""
self.user=""
self.database=""
# connection
self.connection = None
self.cursor = None
def connect(self, host, username, password, db):
try:
... |
import os
import torch.nn as nn
import torch
import numpy as np
import sys
from tqdm import tqdm
from .BaseModel import BaseModel
from .networks.darknet import Darknet
from .networks.darknet_reg import Darknet_reg
from .loss.RegionLoss import RegionLoss, RegionLoss_1Class, RegionLoss_1Class_reg
from .loss.HPOLoss impo... |
import sys
from collections import deque
from bisect import bisect_left, bisect_right
# input = sys.stdin.readline
N = int(input())
numbers = list(map(int, input().split()))
# numbers.reverse()
dp_table = [1]*(N+1)
include =[numbers[0]]
max_value = numbers[0]
print(numbers)
print(include)
for i in numbers :
add = ... |
import numpy as np
import sys
if sys.version[0] == 2:
range, input = xrange, raw_input
for t in range(int(input())):
B, M = map(int, input().split())
all_state = 2**(B*(B-1)//2)
for state in range(all_state):
A, AA = np.array([[0] * B for _ in range(B)]), np.array([[0] * B for _ in range(B)])
... |
"""
Model validation and loader.
Validate a captcha model or a query model and load the model.
Available functions are load_captcha_model and load_query_model.
Models are loaded based on their filenames.
"""
from .util.check import type_check, range_check
def load_captcha_model(filename):
"""
Load a captcha... |
from django.db import models
from django.contrib.sitemaps import ping_google
# Create your models here.
class BigCategory(models.Model):
name=models.CharField(max_length=200)
created_at=models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.name
def get_latest_post(self):
... |
#!/usr/bin/python3
# -*- coding:utf-8 -*-
import numpy as np
from IPython import embed
from softmax import Softmax
from crossentropy import CrossEntropy
class Softmax_CE:
def forward(self, x, target):
exp_vec = np.exp(x)
self.pred = exp_vec / exp_vec.sum()
self.target = target
re... |
import tornado.web
from handler.base_handler import BaseHandler
from model.models import *
class IndexHandler(BaseHandler):
def get(self):
try:
terms = self.db.query(Term).all()
print(terms[0].term_id)
self.render("home.html",terms=terms,pager=None,talks_new=None, pos... |
from multiprocessing import Pool
import models
from functools import reduce
import numpy as np
from operator import itemgetter
import heapq
import random
import matplotlib.pyplot as plt
from networkx.drawing.nx_agraph import graphviz_layout, to_agraph
from copy import deepcopy
import seaborn as sns
#import pygraphviz a... |
"""
Convenience wrapper around the Python world of json encoding and decoding,
looking for the fastest library implementation first and then falling back
to stdlib if necessary.
"""
from __future__ import absolute_import
from sockjs.tornado.log import core as LOG
try:
import simplejson as json
LOG.debug("so... |
#!/usr/bin/python
"""Generate html for waveforms."""
import os
from optparse import OptionParser
audio_template = '<audio src="%s" controls="controls">Audio Tag not supported.</audio>'
html_head = '<!DOCTYPE HTML>\n<html>\n<body>\n'
html_end = '</body>\n</html>\n'
table_head = '<table border="1">'
table_end = '</t... |
#!/usr/bin/python3
import sqlite3
import sys
import re
if len(sys.argv) != 3:
print("Usage: ./toprank Genres MinRating")
sys.exit(1)
genres = set([x.lower() for x in sys.argv[1].split("&")])
score = float(sys.argv[2])
# print(genres, score)
query = f"""
SELECT m.id,m.title, m.content_rating,m.lang,m.yea... |
import numpy as np
import matplotlib.pyplot as plt
import json
import sys
SMALL_SIZE = 15
MEDIUM_SIZE = 20
LARGE_SIZE = 30
def load_data(filepath):
with open(filepath,'r') as f:
data = json.load(f)
return data
def load_folder(foldername, namebasis, N_exp):
# load experiment folder
exp_list =... |
##write a logic to check wether given number is happy number or not
##a number is said to be happy if it yields 1 or 7 when replaced by the sum of squares of itd digit repeatedly.if this process
##results in an endless cycle of number containing any single digit other than 1 or 7
##then the number will b an unhappy ... |
import sys
from typing import Collection, Tuple, Optional, Union
import pandas as pd
import numpy as np
from scipy.sparse import issparse
from anndata import AnnData
from . import _simple as pp
from . import _highly_variable_genes as hvg
from ._utils import _get_mean_var
from sklearn.utils.extmath import safe_sparse_d... |
# Middle Function
# Write a function called middle that takes a list and returns a new list
# that contains all but the first and last elements.
my_list = [1,2,3,4]
# Ex: middle(my_list) >> returns [2,3]
def middle(list):
return list[1:-1] |
"""
https://leetcode.com/problems/valid-mountain-array/
"""
A = [0, 3, 2]
class Solution:
def validMountainArray(self, A: List[int]) -> bool:
peak_right = True
peak_left = True
if len(A) >= 3:
peak = max(A)
index = A.index(peak)
... |
from app import app
from flask_wtf.csrf import generate_csrf
# 调用函数生成 csrf_token
@app.after_request
def after_request(response):
# 调用函数生成 csrf_token
csrf_token = generate_csrf()
# 通过 cookie 将值传给前端
response.set_cookie("csrf_token", csrf_token)
return response
|
import time
def sing():
for x in range(1,6):
print('我在唱最炫民族风')
time.sleep(3)
def dance():
for x in range(1,6):
print('我在跳广场舞')
time.sleep(2)
def main():
sing()
dance()
if __name__ == '__main__':
main() |
import sys
sys.stdin = open("D6_10806_input.txt", "r")
import heapq
T = int(input())
for test_case in range(T):
N = int(input())
A = list(map(int, input().split()))
K = int(input())
h = []
heapq.heappush(h, (0, K))
while h[0][1]:
x, y = heapq.heappop(h)
heapq.heappush(h, (x + y... |
import numpy as np
import matplotlib as plt
import pandas as pd
from minisom import MiniSom
from matplotlib import pylab
from pylab import bone,pcolor,colorbar,plot,show
row_data = pd.read_csv('heart.csv')
X = row_data.iloc[:,:-1].values
Y = row_data.iloc[:, -1].values
# print(row_data)
# print(X)
som = MiniSom(x=5... |
import pandas as pd
import graphviz
from datetime import datetime
#initialize D graph of Graphviz
d = graphviz.Digraph(filename='rank_same.gv')
#Load case time model dataframe
case_data = pd.read_excel("case_longitudinal_view.xlsx")
print(case_data.columns)
case_focus = case_data[case_data["CaseID"]=="CS0072591"]
... |
import sys
class Hanoi:
def __init__(self, N, verbose = False):
if (N > 0):
self.number = N
else:
raise ValueError("Wrong number of disks!")
self.peg = [list(reversed(range(self.number + 1))), [], []]
self.peg[0].remove(0)
self.display()
self.showEachMove = verbose
self.numberOfMoves = 0
self.r... |
# -*- coding:utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# from mysql import connector
# from MySQLdb import connect
from contextlib import contextmanager
from .items import QuestionItem, AnswerItem
from .config import DB_CONFIG, QUESTION_TABLE, ANSWER_TABLE
#add by lucas
# -*- coding:utf-8 -*-
#... |
import csv
dimension = 16
actors_mapping = {}
contacts_ids_mapping = {}
def create_actors_mapping():
a_id = 0
with open('florentine-actors.csv') as f:
lines = f.readlines()
for line in lines:
line = line.replace('\n', "") # [0:len(line)-1]
print(line)
acto... |
def bubble_sort(items):
'''Return array of items, sorted in ascending order'''
index = len(items) - 1
while index >= 0:
for i in range(index):
if items[i] > items[i + 1]:
items[i], items[i + 1] = items[i + 1], items[i]
index -= 1
return items
def merge(list1,... |
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import numpy
sonar = pd.read_csv("Sonar_Detection.csv")
sonar.dropna(how='all', inplace=True)
sonar = sonar.plot(kind='scatter', x='Species', fontsize=9, y='Count', marker = 'o', s=14, alpha=0.73, color='Blue')
#s=marker size
median = ... |
"""
Reference implementation of a two-level RCN model for MNIST classification experiments.
Examples:
- To run a small unit test that trains and tests on 20 images using one CPU
(takes ~2 minutes, accuracy is ~60%):
python science_rcn/run.py
- To run a slightly more interesting experiment that trains on 100 images... |
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
img = np.array(Image.open("/home/nikky/Downloads/50TPancard.jpg"))
h, w, d = img.shape
newImage = np.zeros((h, w, d), dtype=np.uint8)
for i in range(1, h-1):
for j in range(1, w-1):
r, g, b = img[i-1, j-1]
listV = [r, g, b]... |
from flask import *
from flask_mysqldb import MySQL
import hashlib
import random
from blockchain import block, blockChain
import os
import threading
app = Flask(__name__)
app.secret_key = os.urandom(24)
app.config['SESSION_COOKIE_HTTPONLY'] = False
mysql = MySQL(app)
# MySQL configurations
mysql.app.config['MYSQL_US... |
"""
Script to extract features from pre-trained CNN and optimize and train a Linear SVC on top of extracted features.
:args model_name: Name of the pre-trained CNN to use; one of alexnet, vggnet
:args gpu: Flag to indicate if CPU or GPU mode should be used; 0 = CPU, 1 = GPU
:args mode: Indicator for running script in ... |
def findOrgs(invData):
doc = nlp(str(invData))
#matches = matcher(doc)
tokens=[t.text for t in doc]
j=[t.i for t in doc if t.text.lower() in ['party:-','to']]
k=[t.i for t in doc if t.text.lower() in ['particulars','description']]
if len(j)>0:
part1=' '.join(tokens[0:j[len(j)-1]])
... |
# For question go to:
# https://www.hackerrank.com/challenges/between-two-sets/problem
n, m = list(map(int, input().split()))
n_a = list(map(int, input().split()))
m_b = list(map(int, input().split()))
countInt = 0
iter = 1
while iter <= 100:
if all(iter % num1 == 0 for num1 in n_a):
if all(num2 % iter =... |
from django.contrib import admin
from .models import Member, Profile
# Register your models here.
class ProfileInline(admin.StackedInline):
model = Profile
class MemberAdmin(admin.ModelAdmin):
inlines = [ProfileInline]
admin.site.register(Member, MemberAdmin)
|
import random
from dataclasses import dataclass, field
from mvc_game import Game
@dataclass
class ConjugateArticle(Game):
'''Decline the correct form of the article for a noun, given case.'''
name: str = 'Conjugate the Article'
instruction: str = field(init=False)
example: str = '(der) Frau - accusa... |
from osv import osv, fields
class course_create(osv.osv_memory):
_name = 'obuka.course.create'
_description = 'Create courses'
_columns = {
'course_number': fields.integer('Number of courses', required=True),
'instructor_id': fields.many2one('res.partner', 'Instructor', required=True)
... |
"""pmprj URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based... |
# ssh -p2221 student@149.156.197.221
# sftp -P2221 student@149.156.197.221
from __future__ import division
from __future__ import print_function
import time
import os
from usbtmcDevice import UsbtmcDevice
d_path = 'figs/'
# connect to instruments
dev_scope = UsbtmcDevice('/dev/usbtmc0')
id = dev_scope.ask('*idn?')... |
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