text stringlengths 38 1.54M |
|---|
"""
3 # @File : scenario_reduction.py
4 # @Author: Chen Zhen
5 # @Date : 2019/9/17
6 # @Desc : reduce the number of scenarios based on the paper: A two stage stochastic programming model for
lot-sizing and scheduling under uncertainty (2016) in CIE.
"""
import numpy as np
i... |
import time
# webdriver это и есть набор команд для управления браузером
from selenium import webdriver
from selenium.webdriver.support.ui import Select
# инициализируем драйвер браузера. После этой команды вы должны увидеть новое открытое окно браузера
driver = webdriver.Chrome("C:/chromedriver/chromedriver.exe")
... |
import webbrowser
class Movie():
# Initialize the movie class with multiple fields
def __init__(self, title, year, description, rating, poster, trailer):
self.title = title
self.year = year
self.description = description
self.rating = rating
self.poster_image_url = post... |
#http://coderbyte.com/CodingArea/GuestEditor.php?ct=Letter%20Capitalize&lan=Python
'''
Using the Python language, have the function LetterCapitalize(str) take the str parameter being passed and capitalize the first letter of each word. Words will be separated by only one space.
Input = "hello world"Output = "Hello Worl... |
from django.contrib import admin
from .models import Choice, Question
from .models import Choice
admin.site.register(Question)
admin.site.register(Choice)
#class QuestionAdmin(admin.ModelAdmin):
# fieldsets = ['pub_date' ,'Question_text']
|
def leftrotation(the_array, times):
i=0
while i < times:
array_var = the_array[0]
the_array.append(array_var)
the_array.remove(array_var)
i += 1
print(the_array)
array_1 = [1,2,3,4,5]
leftrotation(array_1, 3) |
import torch
import torch.nn as nn
import numpy as np
from scipy import sparse
from scipy.sparse.linalg import svds
import matplotlib.pyplot as plt
from math import isnan
import csv
zeros = np.zeros
pinv = np.linalg.pinv
DATA_PATH = "./data/ml-100k/u.data"
def MoiveAvgRating(sparseDataMatrix:sparse.c... |
import lang
import flect
class ComponentDefinition(object):
__slots__ = [
"name",
"language",
"interpreter"
]
def __init__(self, name, language):
self.name = name
self.language = language
def create_component(self):
return None
def initilize_interpreter(self, interpreter):
... |
# our prime list is empty here
primes = []
def is_prime(x):
a = True
for i in primes:
if x % i == 0:
a = False
break
if i > int(x ** 0.5):
break
if a:
primes.append(x)
return a
# this loop simply runs the fxn to add newer primes
for i in ra... |
from datetime import datetime
from googleads import adwords, oauth2
import random, time, uuid, ast
import urllib.request as urllib2
MAX_POLL_ATTEMPS = 5
PENDING_STATUSES = ("ACTIVE", "AWAITING_FILE", "CANCELING")
API_VERSION = "v201702"
class BatchJob(object):
def __init__(self, client):
self.batchJobHelper = ... |
from tornado.web import Application
from handlers.employees import EmployeesHandler, EmployeeHandler
def make_app():
return Application([(r'/api/employees', EmployeesHandler),
(r'/api/employees/([^/]+)', EmployeeHandler)])
|
''' copy the whole directory to dpm
'''
# Standard imports
import os
# default locations
from StopsDilepton.samples.default_locations import default_locations
# Arguments
import argparse
argParser = argparse.ArgumentParser(description = "Argument parser for cmgPostProcessing")
#argParser.add_argument('--logLevel', ... |
# -*- coding: utf-8 -*-
"""
Created on Thu May 03 15:56:31 2018
@author: MATTEK6 grp 2
"""
from path_import import _gaincalculation
from wmn_main import _interferencelimit
from main import main
import numpy as np
import scipy as sc
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
de... |
number = int(raw_input("give me a number: "))
if (number%3 == 0) and (number%5 == 0):
print("Fizz Buzz")
elif (number%3) == 0:
print("Fizz")
elif (number%5) == 0:
print("Buzz")
else:
print("Please enter another number.")
|
#!/usr/bin/python
"""
==============================================================================
Author: Tao Li (taoli@ucsd.edu)
Date: Jul 10, 2015
Question: 150-Evaluate-Reverse-Polish-Notation
Link: https://leetcode.com/problems/evaluate-reverse-polish-notation/
=========================================... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@Author : xueqiang.liu
@contact : xqliu@dragondropinn.com
@Date : 2019/6/24
@Description :fastq文件质控
'''
import os
import time
import sys
import functools
from profile import Profile
var_path = Profile()
def timefly(func):
@functools.wraps(func)
... |
''' Tests for WMT extract file parser'''
import os
import pytest
from xlrd import XLRDError
import wmt_etl.extract_parser as parser
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
TEST_DATA_FILE_PATH = os.path.join(THIS_DIR, 'data/WMT_Extract_sample.xlsx')
INVALID_DATA_FILE_PATH = os.path.join(THIS_DIR, 'data/In... |
# TODO: add name recognition, check for word combinations in handler2, thread handler2 with a separate dict
from bs4 import BeautifulSoup
from PIL import Image
import urllib
import unidecode
import pyscreenshot
import sys, os
import socket as cv2 #FIX NO NEED SOCKET
#import pytesseract
import argparse
import webbrow... |
"""
This file contains tools to facilitate the use of the system.
"""
def generate_connection_string(type_database: str = "", user: str = "", password: str = "", host: str = "localhost",
port: str = "", database: str = "") -> str:
"""
Returns the configuration string for SQLAlch... |
from setuptools import Extension, find_packages, setup
from codecs import open
from os import path
from distutils.command.install import INSTALL_SCHEMES
import os
here = path.abspath(path.dirname(__file__))
def file_content(fpath):
with open(path.join(here, fpath), encoding='utf-8') as f:
return f.read()... |
from abc import abstractmethod
import numpy as np
from macaw.models import LinearModel, LogisticModel, QuadraticModel
from .optimizers import GradientDescent, CoordinateDescent, MajorizationMinimization
__all__ = ['L1Norm', 'L2Norm', 'BernoulliLikelihood', 'Lasso',
'RidgeRegression', 'LogisticRegression', ... |
'''
Name: Sidharth Banerjee
ID : 1001622703
'''
import numpy as np
import matplotlib.pyplot as plt
import soundfile as sf
def Gamma(mu, theta):
num = 1 - (4/(1+mu))*np.tan(theta/2)
den = 1 + (4/(1+mu))*np.tan(theta/2)
return num/den
def u_n (x, a, g):
u = []
u.append(a*x[0])
for n in range (... |
from aoc2019.day06.part1 import build_orbits
def test_checksum():
orbit_map = build_orbits(
['COM)B', 'B)C', 'C)D', 'D)E', 'E)F', 'B)G', 'G)H', 'D)I', 'E)J', 'J)K', 'K)L', 'K)YOU', 'I)SAN'])
orbit_map['YOU'].search(-1)
assert(orbit_map['SAN'].dist == 4)
|
from django.db import models
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from club.models import Club
from mahjong_portal.models import BaseModel
from player.models import Player
from rating.calculation.hardcoded_coefficients import AGARI_TOURNAMENT_ID
from settings.models im... |
#!/usr/bin/python
text = " CREATE tabLe MyTable ( country varchar(45),ID integer ,XYI double ) ; "
def parseCreateTable(sql):
sql = sql.strip()
sql = sql[sql.find(" "):].strip()
keyWord = str(sql[:sql.find(" ")]).upper()
if keyWord != "TABLE":
print "error: expected keyword \"Table\... |
def base10int(value, base):
if (int(value // base)):
return base10int(int(value // base), base) + str(value % base)
return str(value % base)
def b8to10(s):
mid = 0
for i in range(len(s)):
mid += int(s[len(s)-1-i])*(8 ** i)
return mid
n, k = map(str, input().split(" "))
... |
import requests
import config
url = "https://api.yelp.com/v3/businesses/search"
headers = {
"Authorization" : "Bearer " + config.yelp_api_key
}
params = {
"location": "NYC",
"term": "Barber"
}
response = requests.get(url, headers=headers, params=params)
businesses = response.json()["businesses"]
names = [... |
# -*- coding: utf-8 -*-
import re
import os
from botminer.util.picture import drawBar
from botminer.util.ip_statistic import ip_statistic
os.chdir('../log/')
def analys():
files = os.listdir('../log/')
os.chdir('../log/')
co = re.compile('Time:.*?event.*?0\n(.*?) ->.*?Port/Proto Range',re.S)
ips = set... |
def random():
from random import randint
x=randint(0,50)
return x
def obtenerInt():
y = int(input("Ingrese su adivinanza: "))
return y
def respuesta(respuesta,intento):
if respuesta==intento:
print("Ha adivinado el numero. ")
exit()
elif respuesta > intento:
print("El numero ingresado es menor que la re... |
""""
Given an array nums. We define a running sum of an array as runningSum[i] = sum(nums[0]…nums[i]).
Return the running sum of nums.
"""
# import List from typing to support hinting in function definition
from typing import List
class Solution:
nums = [1,2,3,4]
def runningSum(self, nums: List[int]) -> Li... |
"""
The restaurant application factory
"""
import os
from flask import Flask, render_template, request, redirect, url_for, flash, jsonify
from database import db_session
from models import Restaurant, MenuItem
def create_app(test_config=None):
"""
A application factory to create, set and return the restauran... |
# Generated by Django 2.0.7 on 2018-08-29 18:38
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('GuildPosts', '0007_auto_20180829_1835'),
]
operations = [
migrations.RemoveField(
model_name='postmodel',
name='PostLink',
... |
'''
import pdb
s = '0'
n = int(s)
pdb.set_trace() #运行到这里会暂停
print(10 / n)
'''
import logging
logging.basicConfig(level=logging.INFO)
#设置记录信息级别，输出信息
s = '0'
n = int(s)
logging.info('n = {}'.format(n))
print(10 / n) |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-09-02 11:10
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('complaint', '0001_initial'),
]
operations = [
... |
#!/usr/bin/env python
import os
import sys
low = int(sys.argv[1])
high = int(sys.argv[2])
cmdPrefix = '~/spark-1.4.0/bin/spark-submit --master spark://spark4-master:7077 --driver-memory 20g --executor-memory 14g msg_spark_opt.py '
msgPathIn = 'hdfs://spark4-master:9000/user/yong/msg_analysis/msg_0616/'
msgPathOut ... |
import re
import time
import requests
class Scraper(object):
api_url = None
default_headers = ()
default_params = ()
default_data = ()
cache_attrs = ()
def __init__(self, ratelimit=1):
self.ratelimit = ratelimit
self._last_request = 0
self.cookies = None
self... |
def maximum():
for x in range(100):
for y in range(100):
if((x|y) >= max(x,y))==False:
print x,y, (x|y), max(x,y)
return False
return True
print maximum()
|
# 알파코드(DFS)
import sys
sys.stdin=open("C:\Python-lecture\Python_lecture\section_7\input.txt", "rt")
def DFS(L, P):
global cnt
if L==n:
cnt+=1
for j in range(P):
print(chr(res[j]+64), end=' ')
print()
else:
for i in range(1, 27):
if code[L]==i:
... |
a=list(map(int,input().split()))
b=list(map(int,input().split()))
yo=0
for i in range(len(b)):
if b[i]==0:
yo +=1
flag=0
for c in range (len(b)):
if yo!=len(b):
if b[a[1]-1]!=0:
if b[c]>=b[a[1]-1]:
flag+=1
else:
continue
else:
if b[c]>b[a[1]-1]:
flag+=1
else:
continue
els... |
# target = "https://ticket2.usj.co.jp/t/tkt/ei.do?t=3743|4157|3823|3840|3760|4182|3902|3913|3814&p=20|20|20|20|20|20|20|20|20&m=2"
target = "https://ticket2.usj.co.jp/t/tkt/ei.do?t=3743|4157|3823|3840|3760|4182|3902|3913&p=20|20|20|20|20|20|20|20&m=2"
new_target = "https://ticket2.usj.co.jp/t/tkt/ei.do?t=4648|4663|4655... |
from celery import Celery
import sys
import os
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.callbacks import ModelCheckpoint
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import bac... |
import fileinput
def main():
# entrada de dados por arquivo
indata = []
for line in fileinput.input(files='in.txt'):
indata.append(line.rstrip('\n'))
interval = indata[2].split(' ')
del indata[-1]
Amin, Amax = interval
Kmax, R = indata
# casting
Kmax = int(Kmax)
R = in... |
# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
import unittest
from typing import Any, Dict
from mock import patch
from pyhocon import ConfigFactory
from databuilder import Scoped
from databuilder.extractor.sql_alchemy_extractor import SQLAlchemyExtractor
class TestSqlAlche... |
import tornado.web
import json
import config
class Send_task(tornado.web.RequestHandler):
"""Provide API for frontend to perform task creation and result visualization
"""
def get(self, *arg, **kwargs):
prob_dict = {
'type' : 'ping',
'url': 'www.baidu.com'
... |
#Q: Double the given number using lambda function
def double(a):
x=lambda a: 2*a
print(x(a))
double(25)
|
from typing import List
from models.chat_state import ChatState
from models.event_pattern import EventPattern
from constants.mattermost_status import MattermostStatus
class User:
"""
Represents a single user, identified by its Mattermost username.
"""
_mattermost_login = ''
_gcal_token_file = ''
... |
import torch
import torch.nn.modules as nn
from torch.utils.data import DataLoader
from torchvision import transforms, datasets
class RNNNet(nn.Module):
def __init__(self):
super(RNNNet, self).__init__()
self.rnn_layer = nn.RNN(input_size=28, hidden_size=28, num_layers=1, batch_first=True)
... |
# Generated by Django 2.1 on 2018-08-29 07:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shop', '0004_auto_20180828_2309'),
]
operations = [
migrations.CreateModel(
name='OrderModel',
fields=[
... |
from django.contrib import admin
from django.urls import path
from Main import views
urlpatterns = [
path('music/', views.music_search),
]
|
"""
Given an array of numbers, find the length of the longest increasing subsequence
in the array. The subsequence does not necessarily have to be contiguous.
For example, given the array
[0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15],
the longest increasing subsequence has length 6: it is 0, 2, 6, 9, 11, ... |
#Tatiana Borta
#10023231
#CA5 part_a
def add(first, second):#add numbers
return map(lambda x, y: x+y, first, second)
def substract(values):#substract two numbers
return reduce(lambda x, y: x-y, values)
def devide(first, second):#devide two numbers
return map(lambda x, y: x/float(y) if y != 0 else 'nan',fir... |
import hashlib
with open("min.jpg","rb") as file:
string = (file.read())
m = hashlib.md5()
m.update(string)
result = m.digest()
print(result)
|
import pystan
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import sys
import time
import arviz as az
import xarray as xr
#Modify system pathway to ensure import works
sys.path.insert(1,'/Users/laurence/Desktop/Neuroscience/kevin_projects/code/mousetask/models/mouse_task_... |
import datetime
from django.contrib.auth.hashers import make_password
from django.contrib.auth.models import User
from django.test import TestCase
from django.urls import reverse
from engineers.models import Engineer
from engineers.forms import EngineerAddForm
from engineers.views import EngineerEditView
class Enginee... |
import SimpleITK as sitk
import numpy as np
import csv
import os
from PIL import Image
# perskaitom originalu komp. tomografijos paveiksla ir grazinam ji kaip numpy image
def load_itk_image(filename):
itk_image = sitk.ReadImage(filename)
numpy_image = sitk.GetArrayFromImage(itk_image)
numpy_origin = np.a... |
import numpy as np
# import tensorflow as tf
# import keras
import random
import time
import pygame
import sys
LEFT, UP, RIGHT, DOWN = 0, 1, 2, 3
gridSize = (8, 8)
class Game():
def __init__(self):
self.direction = LEFT
self.length = 1
self.segments = [
(gridSize[0]//2, gridSize[1]//2)
]
... |
import os
import json
import jieba
import scipy
import random
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
from multiprocessing import Pool
from sklearn.metrics.pairwise import cosine_similarity
import torch
import torch.nn as nn
TEST_FLAG = 'test_b'
class LoadDataset:
def __init__(... |
# Generated by Django 2.1 on 2018-08-20 12:31
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Proposed_law',
fields=[
('id'... |
import pandas as pd
import numpy as np
import itertools
import os
import logging
import datetime
base_path = os.path.dirname(os.path.abspath(__file__))
today_file = str(datetime.date.today())
work_file = '..\\logs\\' + today_file + '.log'
log_path = os.path.join(base_path, work_file)
logging.basicConfig(lev... |
import numpy as np
import imutils
import cv2
def order_points(pts):
# initialzie a list of coordinates that will be ordered
# such that the first entry in the list is the top-left,
# the second entry is the top-right, the third is the
# bottom-right, and the fourth is the bottom-left
rect ... |
# 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, software
# d... |
# coding: utf-8
# In[13]:
import pywrapfst as ofst
import easygui
FST_PATH='Lexicon/FSTs/'
categories =['Verbs','Nouns','Pronouns','Adjectives','Adverbs','Propositions','Auxillary Verbs']
# In[40]:
def set_input_fsm(input_string,ifst,isys):
i=0
while input_string[i]!='+':
#print(str(i)+ " " + ... |
from kafka import KafkaConsumer
import yolo
import mongoDB
import storage_helper
import json
import os
consumer = KafkaConsumer('demo', bootstrap_servers="13.233.230.133:9092")
for msg in consumer:
print(msg)
data = json.loads(msg.value)
key = data["blob_id"]
storage_helper.download_file(... |
from django.urls import path, include
from . import views
urlpatterns = [
path('', views.index),
path('slider/', views.slider)
]
|
import sys
import arguments
import numpy as np
import time
from Instance import Instance
def main(args):
# Reading file and creating instance problem
kwargs = {"maxiters": args.maxiters, "pop_size": args.size}
file = "./data/" + args.file
instance = Instance.from_file(file, **kwargs)
t1 = time.tim... |
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 27 20:03:57 2020
@author: WELCOME
"""
"""
Time Complexity - O(N)
Space - O(N)
"""
class Solution:
def maxSumAfterPartitioning(self, A: List[int], K: int) -> int:
totalMax=0
h={}
def helper(index,total):
nonlocal h
if ind... |
from kafka import KafkaProducer
import json
class MyKafka(object):
def __init__(self, kafka_brokers):
self.producer = KafkaProducer(
value_serializer=lambda v: json.dumps(v).encode('utf-8'),
bootstrap_servers=kafka_brokers
)
def send_page_data(self, json_data):
... |
"""Tests for the plot module."""
import numpy as np
from app.demo.plot import (
model,
get_perp,
prepare_data,
generate_plot_image_string
)
from app.demo.plot import offset as plot_offset
def test_model():
"""Test the class prediction based on the highest score."""
params = np.array([[1, 1, ... |
import asyncio
import pytest
import ucp
@pytest.mark.parametrize("server_guarantee_msg_order", [True, False])
def test_mismatch(server_guarantee_msg_order):
# We use an exception handle to catch errors raised by the server
def handle_exception(loop, context):
msg = str(context.get("exception", cont... |
# coding: utf8
import wx_spider
if __name__ == '__main__':
gongzhonghao = input(u'input weixin gongzhonghao:')
if not gongzhonghao:
gongzhonghao = 'spider'
text = " ".join(wx_spider.run(gongzhonghao))
print(text)
|
from downloader import download
from collections import defaultdict
import operator
download(2017, 8)
with open('aoc2017_8input.txt') as inputfile:
data = inputfile.read()
print(data)
operations = {'inc': operator.add, 'dec': operator.sub}
registers = defaultdict(int)
highest = 0
for line in data.splitlines():
... |
"""Handles how much health bullets and entities have"""
import pygame
from sprite.sprite_library import RectangleSprite
class Health:
"""A normal health object that keeps track of maximum and remaining HP"""
def __init__(self, hp=1, regen=0):
"""Creates the Health object"""
self.max_hp = hp
... |
#-*- coding:utf-8 -*-
import urllib
from bs4 import BeautifulSoup
import os
import csv
from collections import deque
import time
#//////////////////////////////get data per hour//////////////////////////////#
def getRealTimeData(url):
# ------------------------------beautifulsoup------------------------------#
ope... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.8 on 2018-10-11 08:48
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('incubator', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
... |
# svg_parser.py
# Copyright Max Kolosov 2009 maxkolosov@inbox.ru
# http://saxi.nm.ru/
# BSD license
import sys
from StringIO import StringIO
from xml.etree import cElementTree
from svg_path_regex import svg_path_parser
def print_error():
exc, err, traceback = sys.exc_info()
print exc, traceback.tb_frame... |
from multiprocessing import TimeoutError
from .pool import Pool
__all__ = ["Pool", "TimeoutError"]
|
def pick2(arr):
list = []
list.append((arr[0], arr[1])) # tuple
list.append((arr[0], arr[2]))
list.append((arr[0], arr[3]))
list.append((arr[0], arr[3]))
for i in range(len(arr)-1):
for j in range(i+1, len(arr)):
list.append((arr[i], arr[j]))
return list
# arr = [1, 2, 3... |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import logging
import os
import time
from datetime import datetime
import tweepy
import requests
auth = tweepy.OAuthHandler(os.environ['CONSUMER_KEY'], os.environ['CONSUMER_SECRET'])
auth.set_access_token(os.environ['ACCESS_KEY'], os.environ['ACCESS_SECRE... |
import SocketServer
import socket
import math
host = 'localhost'
port_client = 8557
port_server_sum = '8560'
port_server_sub = '8561'
port_server_mul = '8562'
port_server_div = '8563'
port_server_pow = '8564'
port_server_sqr = '8565'
port_server_log = '8566'
class myHandler(SocketServer.BaseRequestHandler):
def h... |
from django.conf.urls import url
from . import views
urlpatterns=[
url(r'post_todo_item$', views.add_todo_item,),
url(r'add_todo_items$', views.add_todo_items,),
url(r'get_todo_items$', views.get_todo_items),
url(r'put_todo_item$',views.put_todo_item),
url(r'delete_todo_item$',views.delete_todo_ite... |
#!/usr/bin/env python
"""Script used for performing a forward pass on a previously trained model and
visualizing the predicted primitives.
"""
import argparse
import os
import sys
import numpy as np
import torch
import trimesh
from simple_3dviz import Mesh, Spherecloud
from simple_3dviz.behaviours import SceneInit
fr... |
def gcd(a,b):
while b != 0:
a, b = b, a%b
return a
def coprime(a,b):
r=0.
if gcd(a,b) == 1:
r=1.
return r
for N in range(4,51):
t=4*(N-2)*(N-1)+4*(N-4)*(N-2)
for y in range(3,N/2+1):
for x in range(1,y/2+1):
t=t+8*coprime(x,y)*(N-2*y)*(N-y)
print... |
# coding: utf-8
from django.db import models
# Create your models here.
class User(models.Model):
"""ユーザー"""
nfc_id = models.CharField('NFCID', max_length=64,primary_key=True)
employee_no = models.CharField('社員番号', max_length=64)
name = models.CharField('氏名', max_length=256)
def __unicode__(self):... |
from django.http import HttpResponse
from django.shortcuts import render_to_response
from subprocess import check_call, CalledProcessError
from django.template import RequestContext
import json, httplib
def contact(req):
return HttpResponse('Not Implemented Yet', status=501)
def about(req):
context = RequestC... |
from plotly.offline import plot, iplot
import plotly.graph_objs as go
import numpy as np
import matplotlib as mpl
import plotly.plotly as py
from plotly.offline import init_notebook_mode
init_notebook_mode(connected=True)
x_negative = ["X8","X7","X6","X5"]
x_positive = ["X4","X3","X2","X1"]
y_negative = [1... |
#RPG Dice system
#by Fábio Pinto
import random
def rollDice():
dice = input(f'\nChoose a dice to roll.(d2, d4, d6, d8, d10, d12, d20, d100)\n')
if str(dice.lower())[0].isalpha():
rollSingleDie(dice)
elif str(dice.lower())[0].isnumeric():
rollMultiDice(dice)
else:
print('To rol... |
from sqlalchemy import *
from migrate import *
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
options = Table('options', post_meta,
Column('id', Integer, primary_key=True, nullable=False),
Column('opt', String(length=140)),
)
question = Table('question', post_meta,
Colu... |
# -*- coding: utf-8 -*-
from ._TIC_Tools import *
from datetime import datetime
from datetime import timedelta
from io import BytesIO, StringIO
def _read_stream2(stream, length):
# if not isinstance(length, int):
# raise TypeError("expected length to be int")
if length < 0:
raise ValueError("length must be >= 0... |
from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
urlpatterns = [
path('register/', views.registerPage, name='register_page'),
path('login/', views.logInPage, name='log_in_page'),
path('logout/', views.logOutPage, name='log_out_page'),
path('password-r... |
class User():
def __init__(self, id_, name, setting):
self.id = id_
self.name = name
self.setting = setting
def __str__(self):
user_str = f'id::{self.id}, name::{self.name}' # noqa
return user_str + str(self.setting)
|
import numpy as np
import scipy.sparse as sparse
import time
class richards:
def __init__(self,nhru,nsoil):
self.theta = np.zeros((nhru,nsoil))
self.thetar = np.zeros(nhru)
self.thetas = np.zeros(nhru)
self.b = np.zeros(nhru)
self.satpsi = np.zeros(nhru)
self.ksat = np.zeros(nhru)
self.dem = np.zeros(... |
from tastypie import fields
class UserResource(ModelResource):
class Meta:
queryset = User.objects.all()
resource_name = 'user'
authorization= Authorization()
class ClientResource(ModelResource):
class Meta:
queryset = Client.objects.all()
resource_name = "client"
authorization= Authorization()
class ... |
from __future__ import print_function
import ROOT
import pytest
import re
PDG_PARTICLES = [
1, 2, 3, 4, -313, -213,
221, 323, 21, 310, 313, 223, -323, 213
]
KNOWN_PARTICLES = {
"Xi", "Sigma", "Lambda", "Delta",
"rho", "omega", "eta", "phi", "pi"
}
def pdg2name(x):
return ROOT.TParticle(x, *[0] ... |
import os
import csv
import statistics
csvpath = os.path.join("..","Resources","budget_data.csv")
with open(csvpath, newline='', encoding= 'utf-8') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',')
csv_header = next(csvreader)
Month =[]
Total=[]
Profit=[]
for row in csvreader:
... |
import numpy as np
STUDENT = {'name': 'sam mordoch ,dvir ben abu',
'ID': '313295396 204675235'}
from loglinear import softmax
def classifier_output(x, params):
# YOUR CODE HERE.
# z is the layer before activate the activation function.
z_layers = []
# h is the layer after activation functi... |
import torch
def initialze_cuda(SEED):
"""Initialize the GPU if available
Arguments:
SEED : The value of seed to have amplost same distribution of data everytime we run the model
Returns:
cuda: True if GPU is available else False
device: 'cuda' or 'cpu'
"""
cuda = torch.cud... |
from .scanLog import scanLog
from .antfits import ANTFITS
from .dcrfits import DCRFITS
#import argparse
import numpy
import pylab as plt
from scipy import signal
from numpy import random
from scipy.optimize import curve_fit
#import pyfits
def gauss(x, height, width, center, offset):
return height * numpy.exp(-(x... |
'''
给你一个大小为 m x n 的网格和一个球。球的起始坐标为 [startRow, startColumn] 。你可以将球移到在四个方向上相邻的单元格内（可以穿过网格边界到达网格之外）。你 最多 可以移动 maxMove 次球。
给你五个整数 m、n、maxMove、startRow 以及 startColumn ，找出并返回可以将球移出边界的路径数量。因为答案可能非常大，返回对 109 + 7 取余 后的结果。
示例 1：
输入：m = 2, n = 2, maxMove = 2, startRow = 0, startColumn = 0
输出：6
示例 2：
输入：m = 1, n ... |
""" HTML web scratching """
from lxml import html
import requests
from bs4 import BeautifulSoup
import time
import pandas as pd
import xml.etree.ElementTree as ET
with open('GPL11154.txt') as f:
ff = f.readlines()
GSE = []
GSE_number = []
for item in ff:
if "GSE" in item:
a = item.strip()
b = a[a.find('GSE'):... |
import enum
from typing import (
List,
Tuple,
)
from slacktools.block_kit.base import BaseBlock
from slacktools.block_kit.types import (
ConfirmationDialogType,
DispatchActionType,
OptionGroupType,
OptionType,
)
class DispatchActions(enum.Enum):
on_enter_pressed = 0
on_character_enter... |
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