text stringlengths 8 6.05M |
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import re
import sys
import numpy as np
from Portal.AdmissionDetails.AdmissionDetails import AdmissionDetails
from Portal.PersonalDetails.PersonalAttr import PersonalAttr
from Portal.PersonalDetails.PersonalDetails import PersonalDetails
from Portal.EducationalQualifications.EducationalQualifications import Educational... |
"""treadmill.cli.admin tests"""
|
#!/usr/bin/env python
import subprocess, sys
from collections import namedtuple
Dataset = namedtuple('dataset', ['name', 'path' ])
Prod = namedtuple('prod', ['name' ])
#####################
def gitCheckForUncommittedChanges(repoDir):
cmd = ['git', 'diff', '--name-only', 'HEAD']
p = subproce... |
"""Top-level package for Math Trees."""
__author__ = """Sean Boyle"""
__email__ = 'sean.boyle@pearson.com'
__version__ = '0.1.0'
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import unittest
import os
import json
from analyse_immo.factory import Factory
from analyse_immo.rendement import Rendement
# from analyse_immo.database import Database
# from analyse_immo.impots.annexe_2044 import Annexe_2044
class TestSimulationB(unitt... |
n=int(input("Enter a limit:"))
a=0
b=1
s=0
for i in range(0,n):
s=a+b
a=b
b=s
print(s)
|
#!/usr/bin/python
import os
import pickle
from Bio import AlignIO,Phylo,SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.Phylo import PhyloXMLIO,PhyloXML
import ete2
from ete2 import Phyloxml
import sys
import StringIO
import gzip
import subprocess
import getopt
import copy
import _mysql as mysql
import _mysql_except... |
########
# _________________
# | |
# | Package Upload |
# |_________________|
#
########
# System packages
import json
import os
import time
import sys
from os import listdir
from os.path import isfile, join
# plotting packages
import torch
import numpy as np
import pandas as pd
im... |
from tiempo import Tiempo
class DFSIterativo(object):
def __init__(self, g, v, visitado):
self.g = g
self.v = v
self.visitado = visitado
self.tiempo_visitado = {}
self.tiempo = Tiempo()
self.predecesor = {}
self.bajo = {}
self.puntos_articulacion = ... |
#!/usr/bin/python
# python stuff
import time
import sys
import numpy as np
# index coding stuff
from Symbol import Symbol
from alignment import alignment, nullvec
from bs_index_coding import compute_interferers, transmit_messages, bs_decode_messages
from multirandperm import pairingperm
# tos stuff, all needed?
from... |
from win10toast import ToastNotifier
toaster = ToastNotifier()
for i in range(10):
toaster.show_toast("Virus Warning","Stealing data",icon_path="favicon.ico",duration=2)
toaster.show_toast("Example two","This notification is in it's own thread!",icon_path=None,duration=2,threaded=True) |
from django.contrib import admin
from import_export.admin import ImportExportModelAdmin
from .models import Organization
from .resources import OrganizationResource
@admin.register(Organization)
class OrganizationAdmin(ImportExportModelAdmin):
list_display = [
'code',
'name',
]
model = ... |
from .effunet import EffUnet
from .unext import UneXt50
from .emanet import EMANet |
# Write a program which accepts a sequence of comma-separated numbers from
# console and generate a list and a tuple which contains every number.
# Suppose the following input is supplied to the program:
# 34,67,55,33,12,98
# Then, the output should be:
# ['34', '67', '55', '33', '12', '98']
# ('34', '67', '55', '33', ... |
from spack import *
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import write_scram_toolfile
class Lwtnn(CMakePackage):
homepage = "http://www.example.com"
url = "https://github.com/lwtnn/lwtnn/archive/v1.0.tar.gz"
version('2.4', 'e323debb5... |
#!/usr/bin/python3
# ^^ note the python directive on the first line
# COMP 9414 agent initiation file
# requires the host is running before the agent
# designed for python 3.6
# typical initiation would be (file in working directory, port = 31415)
# python3 agent.py -p 31415
# created by Leo Hoare
# with slight... |
##### 1a. Data Utilities (15 pts)
import os
import json
def get_data(): ###Get data function
fname = os.path.join(os.path.dirname(__file__),'senate-stock-trades.json')
module = -1000000000 ### sentinel value
if module == -1000000000:
f = open(fname,)
module = json.load(f)
ret... |
#!/usr/bin/python
import sys
expectedResult = [
'100000005 1',
'100000066 1',
'100000066 5',
'100002460 12',
'100003192 8',
'100003268 15',
'100004467 12',
'100004467 20',
'100004819 4',
'100005156 17',
'100007808 12',
'100008254 22',
'100010128 14',
'100012200 5',
'1000198... |
def jogar():
print("(*******************************")
print("Bem vindo ao jogo de Forca!!")
print("(*******************************")
palavra_secreta = 'arroz'
letras_acertadas =["_","_","_","_","_"]
enforcou = False
acertou = False
print("{}".format(letras_acertadas))
while(not e... |
from sqlalchemy import Column, String, Integer
from bd import Base
class User(Base):
__tablename__ = 'user'
user_id = Column(Integer, primary_key=True)
firstName = Column(String)
lastName = Column(String)
gender = Column(String)
level = Column(String)
def _init_(self,user_id,... |
# Generated by Django 2.1.2 on 2018-11-24 15:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('orders', '0005_basket_state_of_status'),
]
operations = [
migrations.AlterField(
model_name='basket',
name='state_of... |
# coding: utf-8
import cfg
import re
import codecs
def pre_train():
label_dict = {}
with open(cfg.DATA_PATH + 'evaluation_public_origin.tsv', 'r') as f:
lines = [line.strip().split('\t') for line in f.readlines()]
# 删除文章内容为空的样例, 所有文章内容为空的样例都判定为负标签
for n, line in enumerate(lines):
if l... |
import json
import datetime
from web3 import Web3, HTTPProvider
postwall_artifact = json.load(open('./app/static/Postwall.json'))
postwall_address = postwall_artifact["networks"]["3"]["address"]
postwall_abi = postwall_artifact['abi']
# check connection and get enode
w3 = Web3(HTTPProvider('https://ropsten.infura.io/... |
#列表
#元祖
#集合
|
#!/usr/bin/env python
from main.page.desktop_v3.sales.pe_myshop_order_base import *
from selenium.webdriver.common.by import By
import time
class MyshopOrderPage(MyshopOrderBasePage):
_page = "myshop_order.pl"
#Locators
#search invoice box, deadline response select box, dan search invoice button nya meru... |
def get_sum(a,b):
num = 0
if a == b:
return b
elif b > a:
for i in range(a, b+1):
num += i
return num
else:
for i in range(b, a+1):
num += i
return num
print(get_sum(0, -1))
|
from flask_restful import Resource, reqparse, fields, marshal
from common.auth import authenticate
from common.misc import prevent_missing_id
from models import User as U
from models import db
from numbers import Number
import sys
import common.ws as ws
user_fields = {
'id': fields.String,
'username': fields.S... |
total_electrons = int(input())
shells = []
index = 0
while total_electrons > 0:
current_shell_electrons = 2*((index + 1) ** 2)
if total_electrons >= current_shell_electrons:
shells.insert(index, current_shell_electrons)
else:
shells.insert(index, total_electrons)
break
index += ... |
# Exercício 9.9 - Livro
files = ['txt/file1.txt', 'txt/file2.txt', 'txt/file3.txt']
for filename in files:
try:
with open(filename, 'r', encoding='UTF-8') as file:
print(file.read())
except FileNotFoundError as error:
print('Arquivo não encontrado!\n')
|
#!/usr/bin/env python
#--------------------------------------------------------------------
# EXAMPLE showing how to set up a fit with MINUIT using pyroot
#--------------------------------------------------------------------
from ROOT import TMinuit, Double, Long
import numpy as np
from array import array as arr
impo... |
raio = float(input())
PI = 3.14159
area = PI * raio**2
print(f"A={area:.4f}")
|
"""
skim.py: a script to convert ntuples into a preselected ntuple
$ python skim.py --input=/ntuples/*.root* --output=/skims/file.root
"""
import argparse
import array
import copy
import glob
import os
import sys
import ROOT
treename = "XhhMiniNtuple"
ROOT.gROOT.SetBatch()
def main():
ops = options()
if ... |
import requests,os,json,arrow
from arrow import now
from shapely.geometry import shape
root = "https://earthexplorer.usgs.gov/inventory/json/v/1.4.0"
def makeApiReq(endpoint,data):
r = requests.post(f"{root}/{endpoint}",params="jsonRequest="+json.dumps(data))
return r.json()
def login():
d = makeApiReq(... |
import pickle
from copy import deepcopy
from dataclasses import dataclass
from random import random, choice, shuffle
from typing import List
import torch
from torch.utils.data import Dataset as PyTorchDataset
from tqdm.auto import tqdm
from parseridge.corpus.relations import Relations
from parseridge.corpus.sentence ... |
"""
If you are trying to understand how to use the API, this is the wrong file.
This file contains generic request validation which applies to broad categories
of requests, e.g. requests from teachers, or requests from students
This stuff exists just so we don't have to type it over and over
"""
from django.http impo... |
import httplib
import sys
import os
import time
import subprocess
import json
from subprocess import check_output
import pprint
process_name= "sudo /usr/local/bin/nfd" # change this to the name of your process
filename="/root/nfd_conf"
notNotied=True
while True:
tmp = os.popen("ps -Af").read()
if proc... |
import pandas as pd
import os
# Se define el directorio de resultados
directory = 'Results3/'
# Se genera la lista con todos los archivos
files = [f for f in os.listdir(directory) if os.path.isfile(os.path.join(directory,f))]
# Ciclo que itera sobre todos los archivos
csv1 = 'instance, mean iterations, sd iterations, ... |
def bs(a, l, r, v):
mid = l + (r - l)//2
if l > r:
return -1
if a[mid] == v:
return mid
idx = 0
if v > a[mid]:
idx = bs(a, mid + 1, r, v)
if v < a[mid]:
idx = bs(a, l, mid - 1, v)
return idx
n = int(input())
soma = 0
a = []
for i in input().split():
j = ... |
# Import libraries
from PIL import Image
import pytesseract
import sys
from pdf2image import convert_from_path
import os
from PyPDF2 import PdfFileReader, PdfFileWriter
def pdf_splitter(path):
f = open(outfile, "a")
pdf = open(path, "rb").read()
startmark = b"\xff\xd8"
... |
# Author: Ziga Trojer, zt0006@student.uni-lj.si
import pandas as pd
import numpy as np
import math
import scipy
from scipy import optimize
from sklearn.preprocessing import StandardScaler
import random
import scipy.stats as st
def p_object_j_observation_i(current_class, X, B):
"""
:param current_class: chosen ... |
from torch import nn
from params import *
class GRU(nn.Module):
def __init__(self):
super().__init__()
self.hidden_size = HIDDEN_SIZE
self.num_layers = NUM_LAYERS
self.gru = nn.GRU(input_size=INPUT_SIZE,
hidden_size=self.hidden_size,
... |
#importation du module socket afin de permetttre une communication réseau
import socket as modSocket
from pynput.keyboard import Key, Listener
import logging
import threading
import time
from datetime import datetime
from pythonping import ping
lock = threading.Lock()
"""
creation de l'objet Connexion, co... |
from django.apps import AppConfig
class ConvergenceConfig(AppConfig):
name = 'convergence'
|
from Sloth.classify import Shapelets
from Sloth.preprocess import events_to_rates
import pandas as pd
import numpy as np
import os.path
#from evaluate import evaluate
#from preprocess import parse_weekly_timestamps
from manatee.evaluate import evaluate
from manatee.preprocess import parse_weekly_timestamps
import matpl... |
# Licensed to Elasticsearch B.V under one or more agreements.
# Elasticsearch B.V licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information
from .utils import NamespacedClient, query_params, SKIP_IN_PATH, _make_path
class AutoscalingClient(NamespacedClien... |
# 给定一个由整数组成的非空数组所表示的非负整数，在该数的基础上加一。
#
# 最高位数字存放在数组的首位， 数组中每个元素只存储单个数字。
#
# 你可以假设除了整数 0 之外，这个整数不会以零开头。
#
# 示例 1:
#
# 输入: [1,2,3]
# 输出: [1,2,4]
# 解释: 输入数组表示数字 123。
#
#
# 示例 2:
#
# 输入: [4,3,2,1]
# 输出: [4,3,2,2]
# 解释: 输入数组表示数字 4321。
#
# Related Topics 数组
# leetcode submit region begin(Prohibit modif... |
from pyspark.sql.functions import udf
from pyspark.sql.types import ArrayType, StringType, BooleanType
from ctutil import iputil
import traceback
def regist_long2ip_udf(ss, logger):
'''将long类型转化成ip字符串'''
def handle(iplong):
if not iplong:
return None
try:
if iplong == 0... |
#!/usr/bin/env python
import os
import re
from functools import lru_cache
import pygame
from glm import vec3, sign
from random import randint
from game.scene import Scene
from game.base.inputs import Inputs, Axis, Button, JoyAxis, JoyButton, JoyAxisTrigger
from game.base.state import State
from game.constants import ... |
# -*- coding: utf-8 -*-
import json
from collections import OrderedDict
import six
from functools import update_wrapper
from django.contrib import messages
from django.conf import settings
from django.urls import reverse, reverse_lazy
from django.http import HttpResponse, JsonResponse, HttpResponseRedirect
from django... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 16 17:41:12 2020
@author: logun
"""
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Flatten, Dropout, Conv2D, MaxPooling2D
import tensorflow as tf
import numpy as np
import wandb
from... |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
def weights_init(init_type='gaussian'):
def init_fun(m):
classname = m.__class__.__name__
if (classname.find('Conv') == 0 or classname.find(
'Linear') == 0) and hasattr(m,... |
from scipy.io import wavfile
import math
import matplotlib.pyplot as plt
import numpy as np
def moving_average(interval, window_size):
window = np.ones(int(window_size)) / float(window_size)
return np.convolve(interval, window, 'same')
audio_file = 'F:\Projects\Active Projects\Project Intern_IITB\Vowel Evalua... |
import os
env = Environment(ENV = os.environ)
env.Program("trafficSim",Glob("*.cc") + Glob("*/*.cc"), CCFLAGS="-g -O0 -std=c++11")
|
from django.shortcuts import render
from django.http import HttpResponse
def home(request):
#return HttpResponse("Hello world");
return render(request, 'home.html', {'name':'someone'});
def add(request):
no1 = int(request.POST['no1'])
no2 = int(request.POST['no2'])
result = no1 + no2
return render(request, '... |
import autodisc as ad
import numpy as np
import os
import pickle
class Classifier:
@staticmethod
def default_config():
return ad.Config()
def __init__(self, config=None, **kwargs):
self.config = ad.config.set_default_config(kwargs, config, self.__class__.default_config())
def calc(... |
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import re
import numpy as np
import os
import subprocess
import sys
def compare(repeat, group, step):
techniques = filter(lambda x : x not in ["utils"], [i.split(".")[0] for i in os.listdir("./techniques")])
tasks = {"cpu_bound" : 100000, ... |
#!/usr/bin/env python
import rospy
from std_msgs.msg import String, UInt32
from gps_agent_pkg.msg import LaikaCommand, LaikaState, LaikaStateArray, LaikaAction
import numpy as np
def state_callback(msg):
rospy.loginfo(msg)
def init_node():
# Initialize node
rospy.init_node('laika_control', anonymous=True... |
from rest_framework import serializers
from movies_app.model.users import User
from movies_app import models
class LoginSerializer(serializers.ModelSerializer):
class Meta:
model = models.User
fields = "__all__"
|
import webapp2
from webapp2_extras import jinja2
from google.appengine.api import users
from google.appengine.ext import ndb
from model.libroCientifico import libroCientifico
class EliminarlibroCientificoHandler(webapp2.RequestHandler):
def get(self):
user = users.get_current_user()
if user:
... |
from io import *
from urllib import *
'''
This is a test of opening and reading from files.
'''
f = open('TestFile.txt', 'r+')
for l in f:
print(l)
f.write('I just added this line.')
for l in f:
print(l)
urlopen('https://www.google.com')
|
from flask import Flask, request, redirect, render_template, session, flash
from flask_sqlalchemy import SQLAlchemy
import cgi
import os
app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://blogz:chedder@localhost:8889/blogz'
app.config['SQLALCHEMY_ECHO'] = True
db ... |
# -*- coding: utf-8 -*-
"""
Genera archivos de entrada para el programa de elementos finitos
FEM_iso para la prueba brasilera, usando 2 simetrías en el modelo.
@author: Nicolas Guarin-Zapata
@date: Mayo 18, 2017
"""
from __future__ import division, print_function
import numpy as np
import meshio
import soli... |
#!/usr/bin/env python3
# Min priority queue implementation using a binary heap
class PQueue():
# The number of elements currently inside the heap
size = 0
# A dynamic list to track the elements inside the heap
heap = []
def __init__(self, elements = None):
if elements != None:
self.heapify... |
import sdl2.ext
import tetris.configuration.Colors
from tetris.configuration.Configuration import *
class GameBoard(object):
def __init__(self):
self.board = [[None for x in range(num_columns())] for x in range(num_rows()+2)]
class GameState(object):
def __init__(self):
self.game_over = Fal... |
# Exercício 5.24 - Livro
qtd = int(input('Quantos números primos você deseja ver? '))
num = 1
cont = 1
print(f'Os {qtd} primeiros números primos são ', end='')
while cont <= qtd:
inicio = 1
fim = num
div = 0
while inicio <= fim:
if num % inicio == 0:
div += 1
inicio += 1
... |
from django.shortcuts import render
from visitsapi.forms import VisitsForm
from django.http import JsonResponse
from rest_framework import status
from django.core import serializers
import json
from django.views.decorators.csrf import csrf_exempt
from .models import Visit
# Create your views here.
@csrf_exempt
def vi... |
# -*- coding:utf-8 -*-
# Author: Jorden Hai
Name = input("Name:")
Age = int(input("Age:"))
Job = input("Job:")
Salary = int(input("Salary:"))
#raw_input_2.x input_3.x
#input_2.x 输入什么格式是什么格式 input() 多余的语法
print('name','=',type(Name))
#格式化输出 方案一
info='''
---------info of Stuff ----------
Name:%s
Age:%d
Job:%s
Salary:%d
... |
# counts all the vowels in a sentence
print("Enter a sentence: ")
sentence = input()
voweldictionary = {"a": 0, "e": 0, "i": 0, "o": 0, "u": 0}
for i in range(len(sentence)):
if sentence[i] in voweldictionary.keys():
voweldictionary[sentence[i]] += 1
print(voweldictionary)
|
# -*- coding: utf-8 -*-
"""
by rohan
ver 0.0.1
"""
import time
#import secrets
import io
import requests
from PIL import Image
#Disable security SSL warning
from urllib3 import disable_warnings
from urllib3.exceptions import InsecureRequestWarning
disable_warnings(InsecureRequestWarning)
class Dingdong12306:
def _... |
# Deadlock Detection, similar to Banker's
from banker import Banker, sumColumn, IncrVec, DecrVec, GtVec, LeVec
class DeadlockDetector(Banker):
def __init__(self, alloc, totalRsrc):
Banker.__init__(self, alloc, None, totalRsrc)
def detect(self, Request):
'''detect deadlock with the request m... |
# -*- coding: utf-8 -*-
"""
存放第3方扩展库
"""
|
import re
pattern = r"(\*|@)([A-Z][a-z]{2,})\1: \[([A-Za-z])\]\|\[([A-Za-z])\]\|\[([A-Za-z])\]\|$"
n = int(input())
for _ in range(n):
message = input()
valid_message = re.findall(pattern, message)
if len(valid_message) == 0:
print("Valid message not found!")
else:
print(f"{valid_messa... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 25 13:04:01 2018
@author: Rafael Rocha
"""
import numpy as np
import keras
from sklearn.metrics import classification_report, confusion_matrix
from keras.optimizers import SGD, Adam, Adagrad, RMSprop
from keras.losses import categorical_crossentropy
from ... |
import ctypes
import numpy as np
from numpy.ctypeslib import ndpointer
from scipy.io import wavfile
import os
import glob
def speed_change(in_wav, out_wav, lib_file="./speed_change.dll", speed_rate=2):
"""
args:
in_wav: 输入wav文件的路径
out_wav: 语速改变后wav文件的输出路径
lib_file: 编译的c代码
... |
import argparse
import numpy as np
import tensorflow as tf
import tensorflow_compression as tfc
import os
from scipy import misc
import CNN_recurrent
import motion
import functions
import helper
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
config = tf.ConfigProto(allow_soft_placement=True)
sess = tf.Session(config=config... |
#encoding: utf-8
from __future__ import print_function, absolute_import
import logging
import re
import json
import requests
import uuid
import time
import os
import argparse
import uuid
import datetime
import socket
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToT... |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from app import app
from app import db
migrate=Migrate(app,db)
manager=Manager(app)
manager.add_command('db',MigrateCommand)
if __name__ == '__main__':
manager.run() |
#https://codeforces.com/problemset/problem/4/A
n = int(input())
p = 0
q = n
for i in range(1, n):
p = i
q = n - i
#print(p, q)
if q%2==0 and p%2==0:
print('YES')
break
else:
pass
if q%2==0 and p%2==0:
pass
else:
print('NO')
|
from .people import PeopleService
def create_people_service(people_repository):
return PeopleService(people_repository)
|
# The problem is here:
# https://www.hackerrank.com/challenges/equal
def count(a):
ans = a/5
a = a%5
ans += a/2
a = a%2
ans += a
return ans
q = int(raw_input())
for qs in range(q):
n = int(raw_input())
a = map(int, raw_input().strip().split())
minimum = min(a)
for i in range(len(a)):
a[i] -= minimum
... |
import logging , re, os
from itertools import chain, filterfalse, starmap
from collections import namedtuple
from tqdm import tqdm
BASE_DOWNLOAD_PATH = os.path.join(os.path.dirname(__file__), "downloads")
HEADERS = {
'Content-Type': 'application/json',
'user-agent': 'Mozilla/5.0'
}
session = N... |
# NaivePriorityQueue (aka 'ShittyQueue'): A simple but inefficient priority queue.
# Your implementation should pass the tests in test_naive_priority_queue.py.
# Andras Mihaly
class NaivePriorityQueue:
def __init__(self):
self.data = []
def enqueue(self, value):
self.data.append(value)
... |
def adder(lhs, rhs):
return lhs + rhs
def suber(lhs, rhs):
return lhs - rhs
def test_adder_simple_add():
assert adder(9, 10) == 19
def test_adder_floats():
assert adder(1.1, 2.3) == 3.4
def test_suber_simple():
assert suber(10, 7) == 3
|
import urllib.request
from flask import Flask, request,jsonify
import json
import matplotlib.pyplot as plt
import numpy
import os
import smtplib
global con
global rec
global act
global dec
global ip2
global ip1
global total
global red_zone
EMAIL_ID = os.environ.get('DB_USER')
EMAIL_PASS = os.env... |
from flask_restful import Resource
from flask import request
from auth.manager import update_role
from decorators import admin_required
from exception import MyException
class RoleUpdate(Resource):
@classmethod
@admin_required
def patch(cls):
data = request.get_json()
if not data:
... |
# Filename : instead_enter.py
# Author by : Lily
# 用quit来代替回车结束程序
def file_write(filename):
f = open(filename, 'w', encoding='utf-8')
def file_write(file_name):
f = open(file_name, 'w', encoding='utf-8')
print('请输入内容【单独输入\'quit\'保存退出】')
while True:
file_content = input()
if file_c... |
# Copyright 2022 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
class TermNotStarted(Exception):
pass
|
import unittest
from unittest import TestCase
from plot import *
from date import *
from test_grades import *
import pandas as pd
# author: Kaiwen Liu
# this is a test for assignment 10
class test(unittest.TestCase):
def setUp(self):
pass
# test if the test_grades function returns the correct value
def test_... |
from django.apps import AppConfig
class RoomConfig(AppConfig):
name = 'room'
verbose_name = '면접실 & 면접 시간표 관리'
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 16 11:32:28 2020
@author: adeela
"""
'''
https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html#min
'''
import numpy as np
import pandas as pd
s = pd.Series(['1', 1, np.nan, 1])
s
# gives 6 dates starting from 2020-01-01
dates... |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(3, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(1... |
import os
from pathlib import Path
from pdb2sql.StructureSimilarity import StructureSimilarity
import unittest
from . import pdb_folder
class TestSim(unittest.TestCase):
"""Test Similarity calculation."""
def setUp(self):
self.decoy = Path(pdb_folder, '1AK4', '1AK4_5w.pdb')
self.ref = Path(pd... |
pay = input('Enter your pay:')
dependants = input('How many people do you need to insure?')
def calc_taxes(num):
return pay * .07
def calc_insurance(dependants):
return dependants * 30
def calc_401k(num):
return pay * .05
def calc_net(pay, dependants):
taxes = calc_taxes(pay)
insurance = cal... |
import re
from os import name
import flair
from flair.data import Sentence
from flair.models import MultiTagger
from flair.models import SequenceTagger
from flair.tokenization import SegtokSentenceSplitter
import string
from word2number import w2n
# load the NER tagger
tagger = MultiTagger.load(['pos','ner'])
compass... |
import collections
import configparser
import sys
import os.path
from terminaltables import AsciiTable
from plantscheduling.JsonImpl import JsonImpl
from plantscheduling.PickleImpl import PickleImpl
from plantscheduling.PlantImpl import PlantImpl
from plantscheduling.YAMLImpl import YAMLImpl
sys.path.appen... |
from django import forms
from .models import Post, Categories
choices = Categories.objects.all().values_list('cat_name','cat_name')
choice_list = []
for item in choices:
choice_list.append(item)
class PostForm(forms.ModelForm):
class Meta:
model = Post
fields = ('title', 'category', 'content... |
# -*- coding: utf-8 -*-
from scrapy.contrib.spiders import CrawlSpider
from scrapy.http import Request
from scrapy.selector import Selector
from douban.items import DoubanItem
class Douban(CrawlSpider):
name = "douban"
redis_key = 'douban:start_urls'
start_urls = ['http://movie.douban.com/top250']
url = 'http://mo... |
import os
import TMBdataset as tmbdat
import re
import numpy as _N
import matplotlib.pyplot as _plt
dirlist = os.listdir("../DATA/TMB1")
ROUNDS = 3
complete_dat = []
for directory in dirlist:
if os.path.isdir("../DATA/TMB1/%s" % directory):
days = os.listdir("../DATA/TMB1/%s" % directory)
for part... |
from os import path
def dump(filename, list):
file = open("bulks/"+filename+".bulk", "w", encoding='utf-8')
for item in list:
text = str(item.bulk())
file.write(text+'\n')
file.close()
return path.abspath(file.name)
|
#!/usr/bin/python
# filename: lc_tools.py
import re
import urllib2
try:
from bs4 import BeautifulSoup
except:
BeautifulSoup = False
import numpy as np
try:
from matplotlib import pyplot as plt
except:
pass
import scipy.stats as stats
import pickle as p
#from matplotlib.backends.backend_pdf import... |
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