index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
987,600 | c820215de8b2c21c27f4ad742ac1c19d68b5a0c6 | import re
import regexs
def infoget(str1,re_dict):
substr=str1[24:31]
if substr != 'LOG_EMS':
return 'q'
idx=findn(']',str1,2)
if idx>=0:
nextidx=idx+1
if nextidx<len(str1) and str1[nextidx] in mes_type:
if str1[nextidx] == '=':
if (nextidx+2)<len(str1) and str1[nextidx+2] == 'E':
return get_ems(r... |
987,601 | c67b98c5ce4e6550b1d41a147020ac1cecbba7b4 | from django.db import models
from django.conf import settings
from django.utils import timezone
from django.db.models import Q
User = settings.AUTH_USER_MODEL
class BlogPostQuerySet(models.QuerySet):
def published(self):
now = timezone.now()
# get query set means data object like BlogPost.objects.all()
... |
987,602 | d8308bd495f2ef21bdab9c435bcfcda428c6e4a3 | import pickle
import h5py
import numpy as np
from time import time
T = int(1e7)
S = 10
D = 25
#array = np.random.rand(T, S, D)
class Solutions:
@classmethod
def from_h5(cls, f_name):
soln = cls()
soln.h5 =h5py.File(f_name, 'a')
return soln
def __init__(self, a=None):
if a ... |
987,603 | 357ac4153fb2e0638e85a3c851c9855d34ef3813 | # importing the required module
import matplotlib.pyplot as plt
import numpy as np
import math
def f(x, n):
y = math.pi;
for k in range(1, n+1):
y = y + math.sin(k*x)*(-2/k)
return y
#Array of the values of N i want to plot:
N = [1,2,5,10,100]
i = 1;
for n in N:
# x axis values
... |
987,604 | 1ffc3dda86be6e9de28906b8aefa79277df69b92 | from app.app import *
from validate_email import validate_email
def validate_user_registration(json):
if not(json["first_name"].strip()):
return jsonify({'Message':
'First name is required'}), 401
if not(json["last_name"].strip()):
return jsonify({'Message':
... |
987,605 | a9b516c459e3e5be445e68b1c43f39d7911017cb | """
首先，创建TensorFlow图，
然后，选择需要进行汇总(summary)操作的节点。
然后，在运行之前，合并所有的summary操作。
最后，运行汇总的节点，并将运行结果写入到事件文件中。
"""
import os
import numpy as np
import tensorflow as tf
from mlp import Net, Data, Tools
class Summary(object):
def __init__(self, data, model_path="model", summary_path="summary"):
self.data = data
... |
987,606 | 7a2aba899e6094ea142230d7cc282cbac7285dd9 | import logging
import os
from collections import defaultdict
from copy import deepcopy
from dataclasses import dataclass, field
from typing import Literal, Optional, List, Dict, Any, DefaultDict
import torch
from mila.factories import AbstractConfiguration
from .helpers import SuperFactory
from .observers import Abst... |
987,607 | 1f6db4fedb05db30a0a4435a0137d4dd43f6a058 | Temp_levels = ['VC', 'C', 'W', 'H', 'VH'] # very cold,cold,warm,hot,very hot
Humidity_levels = ['VD', 'D', 'N', 'W', 'VW']# very dry,dry,normal,wet,very wet
Power_Levels = ['VL', 'L', 'N', 'H', 'VH']#very low,low,normal,high,very high
def fuzzify_temperature(value):
if value < 8.0:
return 'VC'
elif va... |
987,608 | 7230c394c9f8aba903e78a9436af6d229b1aa092 | import cv2 as cv
import numpy as np
class ASF:
"""
This class implement the alternate sequential filtering.
"""
def __init__(self, img):
self.img = img
self.kernel = np.ones((5, 5), np.uint8)
self.scroll = 10 # 10 pixel scrolling
def opening(self, img):
"""
... |
987,609 | 23060450b5d92be0b23dd1a3977fbf04663bab0f | # -*- coding:utf-8 -*-
import os
import imghdr
import cv2
from sys import argv
#本脚本目的是为了将图片的类型分为训练集和验证集合
#将图片对应的种类写入到txt文件中以适应caffe
#同时建立种类对照表
#本脚本接受两个个参数path和direction
#path：为目标文件目录
#direction：为图片储存路径
path = argv[1]
direction = argv[2]
if os.path.isdir(path):
list = os.listdir(path)
#树叶的种类
num = 0
for... |
987,610 | c9b3894445d1053b722be96feb9a1be55f0fc306 | '''
Created on Jun 7, 2011
@author: rp2007
'''
#from Mother import *
import pylab as P #@UnusedImport
import numpy as N #@UnusedImport
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.colors as cols
import matplotlib.gridspec as gridspec
import random as R
from mpl_toolkits.mplot3d import Axes3D... |
987,611 | 31761a239697c2b5bc743ef6b6006d40e69f2f08 | """
server
"""
import socket
import select
class TcpServer(object):
"""Tcp Server"""
def __init__(self, port=8000):
self.port = port
self.queue_size = 1000
def start(self, port=8000):
"""server start"""
self.port = port
try:
self.server_run()
... |
987,612 | 19acf12aab96f4868e71d37dd70f0d9c9b15e43d | adj = ["crispy", "delicious" , "beautiful", "fresh" , "tender"]
food = ["salmon", "tuna" , "cod","macrkrel", "flounder" ]
for x in adj:
for y in food:
print (x,y)
|
987,613 | 0c11d1af8d5546ed1cf3e9844c9b8641d08bc44e | Import libraries for simulation
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
#MANDELBROT SET
Y, X = np.mgrid[-1.3:1.3:0.005, -2:1:0.005]
#JULIA SET
#Y, X = np.mgrid[-2:2:0.005, -2:2:0.005]
#Definiamo il punto corrente
Z = X+1j*Y
c = tf.constant(Z.astype("complex64"))
zs = tf.... |
987,614 | a1ea85c2cfd1b2f10c56247db23ce971cac99667 | # 1) Loading Bar
# 2) Loading Screen
import os
import time
def loading_bar(seconds):
for loading in range(0, seconds+1):
percent = (loading * 100) // seconds
print("\n")
print("Loading...")
print("<" + ("-" * loading) + ("" * (seconds + loading)) +
">" + str(percent) ... |
987,615 | e57739be00d1809eb5dff1f34c78f0f689361fb8 | import numpy as np
import scipy
from scipy import stats
import math
import copy
import random
import matplotlib.pyplot as plt
def norm_ang(angle):
return (angle + np.pi) % (2 * np.pi) - np.pi
class Robot:
def __init__(self,pos=None):
if pos==None:
self.x = 0
self.y = 0
... |
987,616 | a44063e4ad50c184acf46aa63469fc3b5630f970 | from django.apps import AppConfig
class SwzcConfig(AppConfig):
name = 'swzc'
|
987,617 | 7d8bd3fa78c0b998fcb9cf7abf4f797f1702d957 | class NMEAMessageBadFormatError(Exception):
"""Exception raised for NMEA message pattern ignored
parameters:
nmea_message: nmea message which caused the error
message: explanation of the error
"""
def __init__(self, nmea_message, message=''):
self.message = message if message e... |
987,618 | 00ba6de97a4681bf9a4d4a95a286d3f80954f1d5 | #https://www.hackerrank.com/challenges/luck-balance/problem
def luckBalance(k, contests):
min_win = 0
res_imp = []
res_not_imp = []
for i in range(len(contests)):
if contests[i][1] == 1:
res_imp.append(contests[i][0])
else:
res_not_imp.append(contests[i][0])
... |
987,619 | e431ed81f60715fe4c36265f60fdc8aab4e03b5c | import os
import os.path as osp
import logging
import cv2
import numpy as np
from ..base import App
from ..base import Keyboard as kb
from ..gui.container import check_ready
from ..gui.media import MediaType
from ..utils.transform import convert_bbox_coordinate
from ..utils.visualize import draw_bbox
logger = loggi... |
987,620 | fcb6d941dea398e8e09ada883c8114dfb2e40eee | from aut.app import ExtractPopularImages, SaveBytes, WriteGEXF, WriteGraphML
from aut.common import WebArchive
from aut.udfs import (
compute_image_size,
compute_md5,
compute_sha1,
detect_language,
detect_mime_type_tika,
extract_boilerplate,
extract_date,
extract_domain,
extract_imag... |
987,621 | 99ce36e89c7d1493602de45a7c8b532474a79c6e | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
def download_enron_dataset():
"""
Downloads Enron dataset.
"""
script_path = os.path.join("spampy", "dataset_downloader.sh")
os.system(script_path)
|
987,622 | 2429b5ef1b4061dab51ca119b0755757665db73b | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 4 17:38:18 2017
@author: Muriel
"""
target=0
comput=0
small=6
medium=9
large=20
def nuggetnumber(target):
for x in range(0,target):
for y in range(0,target):
for z in range(0,target):
if target==(small* x+ m... |
987,623 | 3c64b2506ac3d1fc3d00927aab8096a946550321 | import argparse
from selecting.selecting import select_config
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--time', action='store', dest='max_time',
help='The maximum time expected to run the application, united by second')
parser.add_argu... |
987,624 | 1304024af8cef938feba05e9b398115ea4d95e1e | import numpy as np
import matplotlib.pyplot as plt
def wave_package_position(x, x0, p0, d, hbar_prim):
prefactor = np.sqrt(np.sqrt(np.pi)*d)
envelope = np.exp(-(x - x0)**2/(2*d**2))
plane_wave = np.exp(1j*p0*(x - x0)/hbar_prim)
return (1/prefactor)*envelope*plane_wave
def propagate(phi_x, p_prop,... |
987,625 | 1a93e77f564b0ff5fd33f93570de940c0eb3440f | import logging
logging.disable(logging.CRITICAL)
from tabulate import tabulate
from mjrl.utils.make_train_plots import make_train_plots
from mjrl.utils.gym_env import GymEnv
from mjrl.samplers.core import sample_paths
import numpy as np
import pickle
import time as timer
import os
import copy
def train_agent(job_name... |
987,626 | 0dc5ae3d322d33f5c36ac8c919edbdb45503ecd1 | """
此脚本用来造数据，由于前端可视化部分需要大量数据，手动输入费时又费力，固然写此脚本。
"""
import random
import time
from sign import mongo
name=[]
area_key=[]
area_value=[]
type_list_key=[]
type_list_value=[]
date=[]
season=[]
make=[]
no=[]
##############################生成随机姓名#############################################################
name_list="赵 钱 孙 李... |
987,627 | 8084984d89e6fdc0119122cb2fc3ef14b46d64e2 | class Product:
def __init__(self, name, price, workload, expiration_date):
self.name = name
self.price = price
self.workload = workload
self.expiration_date = expiration_date
def get_price(self):
"""
Returns the price of the product.
PRE: None.
PO... |
987,628 | 3295cdabefb7a04cee511e8326a7d3d7f748eee2 | #!/usr/bin/env python3
"""
Version history:
================
-------------------------------------------------
30.7.2014 | 0.1 | initial version
02.12.2014 | 0.2 | converted for python 3.x
16.04.2019 | 0.3 | OpenAPI v2 target urls
... |
987,629 | 6df788eec02aa85a5cf4a2113c57aa863c8bd769 | '''
Welcome to the ALAF program. An awesome program for awesome friends.
'''
import json
friends_file = "alaf.json"
def welcome():
print("Welcome to ALAF!")
def load_friends():
try:
with open(friends_file) as f:
friends = json.load(f)
# create an empty list if the file is not there
... |
987,630 | a76b3e7fb12d6081331bf29f1040d6ea6e9b8c54 | str1=input("enter string")
num=0
alph=0
for char in str1:
if char in("0123456789"):
num+=1
if char in("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"):
alph+=1
print("number of alphabets: {} \n number of numbers: {}".format(alph,num))
|
987,631 | 617c026cd10698727c76fc5db4e3674c6924710f | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui/main.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.... |
987,632 | 6313175f119104f7ef7c3994ff802e9a590cca5e | from __future__ import annotations
import importlib
from typing import Union
import math
from config import PRIORITY_VALUES, DEFAULT_PATHS
from data import DataRequirement
from duration import Duration
from failure import Failure
from resource import ResourceRequirement
DATA_MODULE = importlib.import_module(DEFAULT_PA... |
987,633 | 37dfc77abec7de1942e6f3eb0144c4a6e44e5bd2 | import sys
file = open("list of teams.txt","w")
MyTeams = ['76ers', 'Cleveland', 'Celtics', 'Spurs', 'Lakers']
for n in range(0, len(MyTeams)):
team = MyTeams[n] + "\n"
file.write(team)
file.close()
|
987,634 | 1bb273c819ce17191e7abf9dfabc2e0e6fac3a70 | import time
from os import system,name
class Validacion:
@staticmethod
def limpiar_pantalla():
if name == "nt":
system("cls")
else:
system("clear")
@staticmethod
def entero (numero):
try:
numero = int(numero)
if numero in... |
987,635 | 39da9aedbf275c6ff9a7806a51d62167660c0e2d | from .base import *
DEBUG = False
ADMINS = (
('Aman Srivastava', 'amanprodigy@gmail.com'),
)
ALLOWED_HOSTS = ['.edureka.com']
DATABASES['default'] = {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'edureka',
'USER': 'django',
'PASSWORD': 'django',
'HOST': 'localhost',
'PORT... |
987,636 | c2f740fa2c96b4d336e612a675a40deb698d9132 | # 38. Write a Python program to check three given integers and return true if one of them is 20 or more less than one of the others.
|
987,637 | ec74ec9c6ef932da8cea1680538125a158cfce6e | # Complete the checkMagazine function below.
def checkMagazine(magazine, note):
countM = Counter(magazine)
countN = Counter(note)
for key, value in countN.items():
c = countM.get(key, 0)
if c < value:
print("No")
return
print("Yes") |
987,638 | 1589e2d4f004e1b257b52fd263649e6526fba97f | # def
# 함수내에서 i, mylist 값 변경
def f(i, mylist):
i = i + 1
mylist.append(0)
k = 10
m = [1,2,3]
f(k, m)
print(k, m) # 출력: 10 [1, 2, 3, 0]
# default Parameter
def calc(i, j, factor = 1):
return i * j * factor
result = calc(10, 20)
print(result)
# Named Parameter
def repo... |
987,639 | 3123b3c16e794124335bd0746c70df2bae291a38 | #-*-coding:utf-8-*-
import random
import requests
import ssl
from requests.auth import HTTPBasicAuth
import configparser
import time
import traceback
import re
import json
import codecs
cp=configparser.ConfigParser()
with codecs.open('F:/test/btex.ini', 'r', encoding='utf-8') as f:
cp.readfp(f)
#交易对
trade_pair = '... |
987,640 | 3b251acd8414500013e6cf53f77dce18de140321 | import os
import json
import flaskr
import unittest
import tempfile
class FlaskrTestCase(unittest.TestCase):
def setUp(self):
self.db_fd, flaskr.app.config['DATABASE'] = tempfile.mkstemp()
flaskr.app.config['TESTING'] = True
self.app = flaskr.app.test_client()
# with flaskr.app.app... |
987,641 | e1db117c6fa892f3be746ca30006e2ae9628ec33 | import smtplib
from email.mime.text import MIMEText
class EmailManager:
def __init__(self):
return
def send_email_to_single_address_localhost(self, to_addr, from_addr, subject, textfile):
fp = open(textfile, 'rb')
msg = MIMEText(fp.read())
fp.close()
msg['Subject'] = ... |
987,642 | 2bfdf5f05d657a916d3b89394a6bdd2003099665 | # programa que jogue jokenpô
import random
opcao = int(input('''Escolha:
--- 1. Pedra
--- 2. Papel
--- 3. Tesoura
--->'''))
sorteio = int(random.randrange(1, 3))
if opcao == 1:
escolha = 'Pedra'
elif opcao == 2:
escolha = 'Papel'
elif opcao == 3:
escolha = 'Tesoura'
if sorteio == 1:
escolha2 = 'Ped... |
987,643 | e570bdc040b203fe014ae13eeb4dbaecc1880370 | import sys
import re
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
# 0->pythonFile 1->folderPath 2->title 3->yLabel 4->labels 5->data 6->NameRegex
numArgs = len(sys.argv)
if numArgs != 7:
print("numArgs Error!")
sys.exit(10) # numArgs
folderPath = sys.argv[1]
titl = ... |
987,644 | a726d56f538a77940314106401517aa6d1397e0d | import string
class Convert:
def __init__(self):
self.chars = string.digits + string.ascii_uppercase
self.chars_len = len(self.chars)
def print(self):
print(self.chars)
print(self.chars_len)
def num2dec(self, num):
num = str(num)
num_len = len(num)
... |
987,645 | 5a3921ada0a0db38178dbadfb4bc55aa09e84e53 | # -*- coding: UTF-8 -*-
# Copyright (c) 2019 The ungoogled-chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Archive extraction utilities
"""
import os
import shutil
import subprocess
import tarfile
from pathlib import Path... |
987,646 | c96039743074505be8315faaf5bc15c79b60c345 | import numpy as np
import tensorflow as tf
from tensorflow.keras import layers
import os
import random
from watermark import watermarking, gaussian_noise
from evaluate import *
SEED=1011
def set_seeds(seed=SEED):
os.environ['PYTHONHASHSEED'] = str(seed)
random.seed(seed)
tf.random.set_seed(seed)
np.... |
987,647 | 55d1e962356403a1361a2fd8fcea05cb7bfa38e7 | #data generator using mask rcnn
#it goes frame by frame and creates single picture for frame containing combined pisctures of the same category objects
#works best with 15 fps mp4 videos
import tensorflow as tf
import numpy as np
from cv2 import cv2
import os
#paths
MODEL_NAME = 'mask_rcnn_inception_v2_coco'
PATH_TO... |
987,648 | e3d51a74bcc4000d9267476ca6ebf2975a9ff657 | ''' Select only the columns we want for the rest of the process.
Incoming dataframe has Country, Program, Customer and Driver:
- Drop the Country, Program, Customer and Driver columns
- Reorder to: UUID, Month, Amount'''
__author__ = "The Hackett Group"
import pandas as pd
cols = ["UUID", "Month", "Amount"]
def p... |
987,649 | 4618ea7fa3d9f60452093ec30eb9951d85a0b8fd | boodschappen = {"brood":2, "water":1, "sap":3}
prijs = 0
while prijs < 100:
product = input("welk product wil je kopen?")
if (product == 'm'):
print("Totaal:", prijs, "euro")
main()
#main()
if product in boodschappen:
prijs += boodschappen[product]
|
987,650 | 422594bd87fd33beddba78b7f98437325974a553 | from urllib.request import urlopen
from bs4 import BeautifulSoup
url="https://movie.naver.com/movie/running/current.nhn"
page=urlopen(url)
soup=BeautifulSoup(page, 'lxml')
print(soup.title)
#%%
ul_one = soup.find('ul', class_='lst_detail_t1')
print(ul_one.text)
#%%
a_all=ul_one.find_all('a')
print(a_all)
#%%
# dt, ... |
987,651 | 6890ca88fe7ee7c33b3fd3064db245472f84c13d | import gpytorch
import torch
class ConstantKernel(gpytorch.kernels.Kernel):
"""
Gives a covariance of one for all inputs. Should be combined with a scale kernel.
"""
def __init__(self, **kwargs):
super(ConstantKernel, self).__init__(has_lengthscale=False, **kwargs)
def forward(self, x1, x... |
987,652 | 3112c1b770d57e3a2e442521318289a08ffddb25 | from app import create_app,db
from flask_script import Manager,Server
from app.models import User,Posts,Comments
from flask_migrate import Migrate,MigrateCommand
app=create_app('development')
manager=Manager(app)
manager.add_command('server',Server)
migrate = Migrate(app,db)
manager.add_command('db',MigrateCommand... |
987,653 | 158347663ce3df0de6e873b255c19ec7c2d38ef3 | import nltk
from nltk.corpus import sentiwordnet as swn
import gensim # word2vec
import numpy
import re
from os import path, remove, chdir
import subprocess
import parameters
import prepare_data
import svm
stopwords = nltk.corpus.stopwords.words('english')
stopwords.extend(['#', ',', '+'])
'Use this class for featur... |
987,654 | 64a3ccd0be2ab778959117e8aa300371db31303a | '''
假如如下数据对应数据库里面的目录结构记录
1. 假如添加的顺序是无序的，只根据id来进行索引
{
"data": [
{
"id": 1,
"parent_id": null
},
{
"id": 2,
"parent_id": 1
},
{
"id": 3,
"parent_id": null
},
{
"id": 4,
... |
987,655 | e8958a00cf693318a6024686e5e31519862e8687 | import os
import sys
path = os.getcwd().rsplit('/', 1)[0]
sys.path.append(path)
os.environ['DJANGO_SETTINGS_MODULE'] = 'sismocaracas.settings'
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()
|
987,656 | 3b0ea7382f19cf1978254d1b2eb5bb30c2f918d6 | from .module import RL
__all__ = ['RL'] |
987,657 | fd960d2cb51da0a1466459400455fc73e97e3022 | #!/usr/bin/env python
# https://leetcode.com/problems/median-of-two-sorted-arrays/#/description
# There are two sorted arrays nums1 and nums2 of size m and n respectively.
# Find the median of the two sorted arrays. The overall run time
# complexity should be O(log (m+n)).
from __future__ import division
import un... |
987,658 | 48e647cf8b4dca94a8e676c80e1697c34d37b453 | n = int(input())
while n > 0:
n -= 1
size = int(input())
deck = []
for i in range(size, 0, -1):
deck.insert(0, i)
for j in range(0, i):
deck.insert(0, deck.pop())
out = ''
for i in deck:
out += '{} '.format(i)
print(out) |
987,659 | c8868aebf66d708319e618c5543ecbd3161a705d | import tensorflow as tf
import numpy as np
print(f'\nTensorFlow version: {tf.VERSION}')
print(f'Keras version: {tf.keras.__version__}\n')
# 28x28 images of hand written digits 0-9
digits = tf.keras.datasets.mnist
# Unpack the data
(x_train, y_train), (x_test, y_test) = digits.load_data()
# Scale data: Normalization(... |
987,660 | 592c84f59c9d1c06d9343e33ddc1a118be8dd0b4 | import numpy as np
import matplotlib.pyplot as plt
import biotite.sequence as seq
import biotite.sequence.io.fasta as fasta
import biotite.sequence.io.genbank as gb
import biotite.sequence.graphics as graphics
import biotite.application.clustalo as clustalo
import biotite.database.entrez as entrez
# Search for protein ... |
987,661 | 1c1431ddce848fa84a502598e189ef01490249a2 | a= 10
out = isinstance(a,int)
print("is a an integer",out)
out = isinstance
price = 1.5
print(isinstance(price,int))
print(isinstance(price,float))
print(isinstance(price,str)) |
987,662 | 7a474543f00f90262b23b932128e7fb7e6c0231e | '''this module contains the base functions that will be used by the GUI and CLI'''
import csv
from datetime import datetime
csv_layout = ['card_num', 'name','under_13', 'under_18', 'under_60',
'over_59', 'zip', 'last_used_date', 'all_used_dates']
date_today = datetime.now()
def check_date(date_str):
... |
987,663 | 4cd2da38a6217cc747a98b26476b23bf1e09c242 | from ad_api.base import Client, sp_endpoint, fill_query_params, ApiResponse
class Keywords(Client):
"""
Use the Amazon Advertising API for Sponsored Brands for campaign, ad group, keyword, negative keyword, drafts, Stores, landing pages, and Brands management operations. For more information about Sponsored Br... |
987,664 | d35555ba857c4023a955c9c60f409e7f2b42b185 |
from app import db
from .BaseModels import BaseModel
# 分类表
class Category(BaseModel, db.Model):
__tablename__ = 'category'
id = db.Column(db.Integer, primary_key=True, unique=True)
name = db.Column(db.String(50), nullable=False, default='')
weight = db.Column(db.Integer, nullable=False, default=0) ... |
987,665 | 2a437e388b004536059506387de4e707d4fdca49 | t = int(input())
while(t):
k,d0,d1=list(map(int,input().split()))
s=d0+d1
c=(2*s)+(4*s)+(8*s)+(6*s)
if (k==2):
tot = s
else:
no_cycles = (k-3)//4
left_over = (k-3)-(no_cycles*4)
tot = (2*s) + (no_cycles*c)
p=2
for i in range(left_over):
... |
987,666 | f3ad37ef19f613b933a294271c25163994f1f143 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.core.urlresolvers import reverse
import numpy as np
import calc
from .forms import InputForm, OptionalForm
def index(request):
#return HttpResponse(reverse('health: index'))
return render(request, 'health/inde... |
987,667 | 1b314d80e14c70a8f606db2caeac92bdf843ed71 | #!/usr/bin/env python3
from termcolor import colored
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--verbose', '-v', help="Verbose mode", action = 'store_true')
args = parser.parse_args()
init_data = [3,225,1,225,6,6,1100,1,238,225,104,0,1101,90,60,224,1001,224,-150,224,4,224,1002,223,8,223... |
987,668 | 2b76f0e500bdba765c121ab8b26aef640ee51753 | ##
##
# File auto-generated by PythonFileGenerator
__all__ = [
'ClusterActivationNotification',
'SiteActivationNotification'
]
from .ClusterActivationNotification import ClusterActivationNotification
from .SiteActivationNotification import SiteActivationNotification
|
987,669 | 576ce3a8caf9b7acf67e6830fbfc5d607304517c | # unix_send.py
from socket import *
# 确保两边使用同一个套接字文件
sock_file = "./sock"
# 创建本地套接字
sockfd = socket(AF_UNIX,SOCK_STREAM)
sockfd.connect(sock_file)
while 1:
msg = input(">>")
if not msg:
break
# 消息收发
data = sockfd.send(msg.encode())
sockfd.close()
|
987,670 | 32a7a9cc24474ce9ffaa4509850f6e807a814959 | from django.db import models
from django.forms import ModelForm
class TestPlan(models.Model):
name = models.CharField(max_length=30)
product = models.CharField(max_length=30)
product_version = models.CharField(max_length=10)
created = models.DateTimeField(null=True, blank=True)
author = models.Char... |
987,671 | 2250d2828c3551fb126464521341788bdd010ce3 | version https://git-lfs.github.com/spec/v1
oid sha256:4d6b1283403d967ea5eddd71a913da66cd2cfd1d0e6fa41ed765dd1ab56b8e44
size 10905
|
987,672 | fdcd908c39fad645dc2a2b65b46e23cb23437c54 | #POR FIN NOJODASSSSS!!!!
import sys, re
from PyQt5.QtWidgets import QApplication, QDialog, QMessageBox
from PyQt5 import uic
class Dialogo(QDialog):
def __init__(self):
QDialog.__init__(self)
uic.loadUi("Practica4.ui", self)
self.NombreA.textChanged.connect(self.Validar_nombre)
self.ApellidoA.... |
987,673 | 0cb711ea7e1028116b9cf8cb764c286b16c15828 | import os
from sklearn.datasets.base import Bunch
from yellowbrick.download import download_all
## The path to the test data sets
FIXTURES = os.path.join(os.getcwd(), "data")
## Dataset loading mechanisms
datasets = {
"hobbies": os.path.join(FIXTURES, "hobbies")
}
def load_data(name, download=True):
"""
... |
987,674 | 33be30404b9cdc5f7c16e3c4d46f74d270f26401 | #coding=utf-8
import json
import requests
from bs4 import BeautifulSoup
#请求地址
targetUrl = "https://www.baidu.com/s?wd=13127965029&tn=json"
#代理服务器
proxyHost = '121.46.234.76'
proxyPort = "717"
proxyMeta = "http://%(host)s:%(port)s" % {
"host" : proxyHost,
"port" : proxyPort,
}
proxies = {
"http" : prox... |
987,675 | 24ce2f79936d71f75b239d1d3657fe2bd310a707 | class Person:
def __init__(self,name,age): #constructor
self.name=name
self.age=age
def talk(self): #self is very imp.
print(f"Hello! My name is {name} and I am {age} years old :)")
name=input("Enter name: ")
age=input(f"Enter {name}'s age: ")
obj_person=Per... |
987,676 | b35f64a1af9745dba3ca2cc7597430db936e9cbe | """
Usage:
class MixinClass(register_on_init.Logged):
@register.before('__init__')
def method1(self) -> None: ...
@register.before('__init__')
def method2(self, init_arg) -> None: ...
@register.after('__init__')
def method3(self) -> None: ...
class Example(MixinC... |
987,677 | 1286995f9bf2cc5c9748a0289fdf379bf8d377ca | import math
import random
import numpy as np
def generator():
num=random.uniform(0,1)
return math.pow(21,-num+1)-1
def generateMultiple(trials):#avg of one sample
total=0
for x in range(trials):
total+=generator()
return total/trials
##def multipleSampleOld(trials):
## s... |
987,678 | 1247f8707ad40c63a8a4f9d5e0f02aa0f241313d | import base64
import hmac
import hashlib
import logging
import bcrypt
from django.conf import settings
from django.contrib.auth.hashers import (BCryptPasswordHasher,
BasePasswordHasher, mask_hash)
from django.utils.crypto import constant_time_compare
from django.utils.encoding... |
987,679 | cd34f004267c78abbe668f9a9a9aac8c61f34902 | """
Needs Revision
==============
"""
from y10.fr import cython013_py25
__all__ = dir()
|
987,680 | cce41b99723ae9504bc3738f5042725664890ef3 | from flask import Flask, render_template, jsonify, request, flash
from forms import ContactForm
from flaskext.mail import Mail, Message
import os
app = Flask(__name__)
app.secret_key = 'development key'
mail = Mail()
app.config["MAIL_SERVER"] = "smtp.gmail.com" #gmail smtp settings
app.config["MAIL_PORT"] = 465
app.... |
987,681 | 44138976fef88b5dfc09868a60b602484e4db386 | #from Gcode3D_executer import
from threading import Thread, Semaphore
class Tramas_V1:
def LineaProcesa(lines):
if lines==[]:
1; #blank lines
elif lines[0:3]=='G90':
Control_V1.motorOn();
print ('start');
elif lines[0:3]=='G92':
print ('... |
987,682 | 9671b45579723369cda720b66a0ef8e1af166447 | import time
import vtk
#import datetime
import math
#import random
#import os
import csv
#import sys
import randompolygon as rpg
def timeRPG(N):
t_before = time.time()
polygon= rpg.rpg(N)
t_after = time.time()
times=[]
times.append(t_after-t_before)
return times
if __name__ == "__main__... |
987,683 | 7c60f8ab9dbca447ae3050a76621f1a53e98c40b | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This module downloads all the ROAs from ftp.ripe.net/rpki or all the ROAs
that exist for a specific date.
Processing the HTML from the server has been tested to be faster than
using Python's built-in FTP library.
Guidelines:
1. Maintain a table of files that have be... |
987,684 | 32d737148a6c11376ebde0e039c5ec05e3e13024 | import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append('../..')
sys.path.append('../../../../QuantumCircuitOptimizer')
from vqe import *
from ucc import UnitaryCoupledCluster
#from spsa import SPSA
from quantum_circuit import QuantumCircuit,SecondQuantizedHamiltonian
l = 3
n = 2
delta = 1 #... |
987,685 | 575096c41d005ae6e506af5c4f51b5d7ea2da9b0 | #!/usr/bin/env python
import numpy as np
from LegKinematics import LegIK
from LieAlgebra import RpToTrans, TransToRp, TransInv, RPY, TransformVector
from collections import OrderedDict
class SpotModel:
def __init__(self,
hip_length=0.04,
shoulder_length=0.1,
leg... |
987,686 | a0e8eb214532013903f3f753d4e71a1d380d29f2 | class Solution:
def findPeakElement(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
len_n = len(nums)
for i in range(len_n - 1):
if nums[i] > nums[i + 1]:
return i
return len_n - 1 |
987,687 | 094931a8ded87106a5e2f68dae90d523dde607e3 | # -*- coding: utf-8 -*-
"""
Éditeur de Spyder
Ceci est un script temporaire.
"""
import turtle as tu
Room = [
{
"color": "Red",
"pos" : (0,0),
"height" : 75 ,
"width" : 250
},
{
"color": "Blue",
"pos" : (0,-75),
"height" : 250 ,
"width" : 50
},
{
"... |
987,688 | 74ef99fb0cf752e0818ce576c2f5e3b21d2c2aa3 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class rss_field(models.Model):
feed_link=models.CharField(max_length=200)
created_by=models.CharField(max_length=100)
class news(models.Model):
title=models.CharField(max_length=400)
summary=models.Cha... |
987,689 | 2e0c59c1f34c8b65823152c7f0605ebad6a14d49 | from app import mythic, links, use_ssl, db_objects
from app.routes.routes import env
from sanic import response
from sanic_jwt.decorators import scoped, inject_user
import app.database_models.model as db_model
import base64
from app.routes.routes import respect_pivot
async def get_scripts(user):
try:
scri... |
987,690 | 9cad6edc4489447eebb8d65133623c91126e9d60 | import unittest
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
class class_login(unittest.TestCase):
@classmethod
def setUp(self):
self.driver = webdriver.Chrome()
def test_cms(self):
... |
987,691 | 7439da6b1039b6fe5e56a4fcb0dc96f823e6fcaa | import os
import yaml
import string
import codecs
def main():
# template を開く
tmpf = open("template.html", "r")
template = string.Template(tmpf.read())
# yaml から値を取得する
f = open("config.yml", "r")
data = yaml.load(f)
# yaml の設定分ループ
for i in data:
# yaml の値で、template を書き換える
... |
987,692 | b70f3cc08abf559ad3f69ff2a5c405f8e146d4a0 | import numpy as np
import cv2
import os, sys
import Image
import ImageDraw
import ImageFont
import matplotlib.image as mpimg
import skimage.io
sys.path.insert(0, '../../python/')
import caffe
#caffe.set_device(0)
#caffe.set_mode_gpu()
caffe.set_mode_cpu()
mean = np.require([104, 117, 123], dtype=np.float32)[:, np.newa... |
987,693 | 56d28e9fd06cc4aefdbbf204a365b105b3c88979 | from PIL import Image
import os
# im = Image.open("lenna.jpg")
# im.show()
#
# # 指定逆时针旋转的角度
# im_rotate = im.rotate(45)
# im_rotate.show()
# data_dir = 'D:/sharedhome/models/data/GCtest/Cancer/'
# im = Image.open(data_dir+images_list[0])
# imrot1 = im.rotate(90)
# imrot2 = im.rotate(180)
# imrot3 = im.rotate(270)
# ... |
987,694 | 509bbc7bf7c3d6f3961c5ce3fe176fb4f0557069 | #! /usr/bin/python
import sys
import os
from numpy import *
import Scientific.IO.NetCDF
from Numeric import *
from Scientific.IO import NetCDF as Net
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
##name of NetCDF trajectory file
filename='../ptraj/mergtraj_equi... |
987,695 | 2492e7448fc8060244f10058b59add5708c39454 | dungeon = "--"
room = "--"
player_name = 'PLAYER'
player_hp = 8
player_ap = 1
player_dp = 1
player_gp = 0
player_found_gp_in_room_2 = False
monster_name = "MONSTER"
monster_hp = 16
monster_ap = 2
monster_dp = 2
monster_gp = 4
|
987,696 | 2089073ebead8dabbd2e0f382d03063b57a3df71 | #!/usr/bin/python
import itertools
import argparse
import os
import database
parser = argparse.ArgumentParser(description='Print database for energy shifts in EuO and substrate')
parser.add_argument('-d', '--database', default='/users/stollenw/projects/euo/database/isolated.db', help='Database file name')
parser.add_... |
987,697 | 6c81f0ba9ca96563c8bcf5fb54cdb3b410dfe787 | import codecs
fileData = './src/raw/charData.txt'
fileDataLs = './src/raw/chars.ls'
with codecs.open(fileData,'r',encoding='utf8') as f:
data = f.read()
front = '''# ============================================================================
# Column settings
# ====================================================... |
987,698 | bbb0860be0b232bd8dec420473fdf9d2681f81aa | from lab5.constant import prime_number, size
def rabin_karp(text: str, pattern: str):
found_patterns_idx = []
text_len = len(text)
pattern_len = len(pattern)
if text_len < pattern_len:
return -1
pattern_hash = hash(pattern, pattern_len)
text_hash = hash(text, pattern_len)
if patter... |
987,699 | 0226fa8b09149f7754e4b81f3e26c047fcbfe395 | from django.conf import settings
DB_LOGGER_URL = getattr(settings, 'DB_LOGGER_URL', 'pg.example.com')
|
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