text stringlengths 8 6.05M |
|---|
from db.DBConnectionFactory import MongoConnection
Connection=MongoConnection()
Connection.createDBConnection()
|
# Generated by Django 2.2.2 on 2019-06-12 20:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bearddb', '0002_auto_20190612_1332'),
]
operations = [
migrations.AlterField(
model_name='beardlog',
name='event_id'... |
try:
import Image
#import cv2
except ImportError:
from PIL import Image
import pytesseract
img = Image.open('test.png')
img.load()
#cv2.imshow('image',img)
#print img
i = pytesseract.image_to_string(img)
print i |
#Additon,ubtraction,Multipalication,Divition
a = 10
b = 5
c = a + b
d = a - b
e = a * b
f = a / b
print("\nAddition:",a," + ",b," = ",c)
print("\nSubtraction:",a," - ",b," = ",d)
print("\nMultiplication:",a," * ",b," = ",e)
print("\nDivition:",a," / ",b," = ",f)
|
"""empty message
Revision ID: 729a6131b19f
Revises: 2236be5f3ade
Create Date: 2018-10-28 11:18:18.668668
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '729a6131b19f'
down_revision = '2236be5f3ade'
branch_labels = None... |
# Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import OrderedDict
d = OrderedDict()
for _ in range(int(input())):
item, price = input().rsplit(' ', 1)
d[item] = d.get(item, 0) + int(price)
[print(item, d[item]) for item in d]
|
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.contrib.auth import authenticate
from django import forms
from .interface import interface
from product_mgr_app.models import Product, Rating
def index_view(request):
user = request.user
if not user.is_authenticated:
... |
from xml.dom.minidom import parse
dom = parse('../date_file/config.xml')
root = dom.documentElement
tag_name = root.getElementsByTagName('platform')
print(tag_name[0].firstChild.data)
|
from flask import Blueprint
bp = Blueprint('separacao',__name__)
from . import routes |
"""User model"""
from sqlalchemy import Column, Integer, BigInteger, ForeignKey, DateTime, Float, VARCHAR
from models.db import Model
from models.base_object import BaseObject
class Trial(BaseObject, Model):
id = Column(Integer, primary_key=True)
TaskID = Column(Integer)
UserNo = ... |
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from collections import Counter
from lifelines.statistics import multivariate_logrank_test
from mvmm_sim.data_analysis.utils import argmax, drop_small_classes
from mvmm_sim.data_analysis.super_means import get_super_means
from exp... |
from django import forms
from .models import Container, Item
MAX_NAME_LENGTH = 50
MAX_COLOR_LENGTH = 20
class ContainerForm(forms.ModelForm):
class Meta:
model = Container
fields = ['name', 'length', 'width', 'height', 'color', 'purpose', 'note']
def clean_name(self):
name = self.cle... |
import numpy as np
import pyqtgraph as pg
app = pg.mkQApp()
def test_nan_image():
img = np.ones((10,10))
img[0,0] = np.nan
v = pg.image(img)
v.imageItem.getHistogram()
app.processEvents()
v.window().close()
def test_init_with_mode_and_imageitem():
data = np.random.randint(256, size=(256,... |
from django.db import models
# Create your models here.
class TempModel(models.Model):
temp_name = models.CharField(max_length = 100)
def __str__(self):
return self.temp_name
class Meta:
verbose_name_plural = "Temp Models"
|
import pytest
from staffuser import *
from food import *
from order import *
from system import *
from id_generator import IdGenerator
class TestSystem():
def setup_class(self):
self.system = System()
def test_system_setup(self):
s = self.system
assert len(s.staff) == 3
assert... |
if __name__ == '__main__':
s = input()
has_alphanumeric = False
has_alphabetical = False
has_digits = False
has_lowercase = False
has_uppercase = False
for c in s:
if (c.isalnum()):
has_alphanumeric = True
if (c.isalpha()):
has_alphabetical = True
... |
"""
IMIPS Implentation
Author: Alex Butenko
"""
import cv2
import numpy as np
from features.DetectorDescriptorTemplate import DetectorAndDescriptor
import features.feature_utils as fu
import sys
import os
dirname = os.path.dirname(__file__)
sys.path.append(dirname+'/imips_misc/imips_open/python')
sys.path.append(dirn... |
"""
This script permits to setup the python package.
"""
from setuptools import find_packages, setup
from kili import __version__
setup(
# name on pypi
name='kili',
# code version
version=__version__,
# List packages
packages=find_packages(),
author="Kili Technology",
author_email... |
/home/ajitkumar/anaconda3/lib/python3.7/hashlib.py |
N = int( input())
print( N*800 - 200*(N//15))
|
from crm_app.models import (
Department,
MealCategory,
Meal,
Table,
Order,
Check,
ServicePercentage,
Status,
OrderedMeal)
from rest_framework import serializers , fields
from rest_framework.response import Response
class DepartmentSerializer(serializers.ModelSerializer):
cl... |
#!/usr/bin/python
#\file kdl_test2.py
#\brief certain python script
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
#\date Jan.22, 2018
import numpy as np
from kdl_kin2 import TKinematics
if __name__=='__main__':
np.set_printoptions(precision=3)
print 'Testing TKinematics (robot_description ... |
# -*- coding: utf-8 -*-
import simplejson
from django.db import transaction
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.shortcuts import (get_object_or_404, render_to_resp... |
#Criando dicionário com chave do tipo inteiro
clientes = {
1:'Ana',
2:'Paulo',
3:'Luiz',
4:'Claudia',
5:'Evelyn',
6:'Marcos'
}
#Para exibir chave do tipo int converter para string
print('Mostrando dicionário completo...')
print('ID: Cliente')
for key, value in clientes.items():
print(str(ke... |
import sys
#!pip install geopy
#USAGE: <script> <starting longitude> <starting lattiude> <end longitude> <end lattiude>
#https://en.wikipedia.org/wiki/Great-circle_distance
from geopy.distance import great_circle
def geoGreatCircleDistance(startLat, startLong, endLat, endLong):
startLocation = (startLat, startLong... |
import tensorflow as tf
import input_data
import numpy as np
from PIL import Image
batch_size = 64
z_dim = 100
learning_rate = 0.001
beta1 = 0.5
epochs = 5000
def model_inputs(image_width, image_height, image_channels, z_dim):
# Real imag
inputs_real = tf.placeholder(tf.float32, (None, image_width, image_hei... |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
import time
import csv
import requests
import pandas as pd
from pymongo import MongoClient
#---------------------------------------------------------------------------
def data_to_dataframe():
... |
# Reading files
# we import argv feature from sys module
from sys import argv
# we use argv feature so that it will take two names
# the first, as always, script name and the second is the name of the file that we will open
this_script, filename = argv
# opends the file a person passes to the filename and assigns th... |
import webapp2
import caesar
import cgi
def build_page(textarea_content):
rot_label = "<label>Rotate by: </label>"
rot_number = "<input name ='rot' type='number'/>"
message_label = "<label>Type a message: </label>"
textarea = "<textarea name='message'>" + textarea_content + "</textarea>"
submit=... |
from base import Base
import collections
import requests
import datetime
class Logger(Base):
def initialize(self):
super().initialize()
self.q = collections.deque()
self.listen_event(self.log_event, 'LOG_WRITE')
self.listen_event(self.event)
self.listen_state(self.state)
... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
##################################################
# GNU Radio Python Flow Graph
# Title: Packet Rx Teste
# Generated: Tue Oct 17 11:24:19 2017
##################################################
if __name__ == '__main__':
import ctypes
import sys
if sys.platfo... |
import if97
from if97 import ThermoDynState, get_state_by_p_and_h,\
get_state_by_p_and_s, get_state_by_h_and_s
def test_Region1():
print("Table 5 - Region 1\n")
print("v\t, h\t, u\t, s\t, cp\t, w\t")
for T, p in ((300, 3),
(300, 80),
(500, 3)):
state = ThermoDy... |
from i_resource_protocol import IResourceProtocol
from i_resource_manager import IResourceManager
from file_resource_protocol import FileResourceProtocol
from http_resource_protocol import HTTPResourceProtocol
from no_such_resource_error import NoSuchResourceError
from package_resource_protocol import PackageResourceP... |
#!/usr/bin/python
#\file slider3.py
#\brief Expanding slider.
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
#\date Apr.14, 2021
import sys
from PyQt4 import QtCore,QtGui
def Print(*s):
for ss in s: print ss,
print ''
class TSlider(QtGui.QWidget):
def __init__(self):
QtGui.QWidget.__... |
# This challenge's submission is broken
# and causes severe run-time issues in the web app.
# The problem has been reported but not fixed.
def is_prime(num):
if num == 0 or num == 1: return False
for i in range(2, int(num**(1/2.0))+1):
if num % i == 0:
return False
return True
print(is_prime(int(in... |
from collections import defaultdict as ddict
in_file = open('input_7.txt', 'r')
# in_file = open('test_7.txt', 'r')
def search(b_map, target_bag):
count = 0
to_find = list(b_map[target_bag].items())
def loop(bag):
if bag[0] == 'no other': return 0
tmp = 0
for new in list(b_map[bag[0]].items()):
tmp += loop... |
import unittest
from os.path import isfile, sep
from os import getcwd, remove
from ndb_adapter.ndb_download import DownloadHelper, DownloadType
class DownloadTests(unittest.TestCase):
def test_download(self):
pdb_id = "5dg7"
file = DownloadHelper.download(pdb_id)
self.assertIsNotNone(file)... |
from pwn import *
import sys
#import kmpwn
sys.path.append('/home/vagrant/kmpwn')
from kmpwn import *
#fsb(width, offset, data, padding, roop)
#config
context(os='linux', arch='i386')
context.log_level = 'debug'
FILE_NAME = "./admin"
HOST = "35.186.153.116"
PORT = 7002
if len(sys.argv) > 1 and sys.argv[1] == 'r':
... |
#--------------------------------------------------------------------------------
# G e n e r a l I n f o r m a t i o n
#--------------------------------------------------------------------------------
# Name: Exercise 5.16
#
# Usage: python "Exercise 5.16.py"
#
# Description: Helps estimate average error for an arbitr... |
# Copyright (c) 2017 Jes Frellsen and Wouter Boomsma. All Rights Reserved.
#
# 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 requir... |
song={"Song name":"Gordzilla","Artist":"Eminem","Released":"31/01/2019","Genre":"Hip-Hop","Producers":"Eminem "+ "and"+" D.A.Doman"}
for key,value in song.items():
print(key,":",value)
list = [1,2]
for i in list:
print (i) |
from enum import Enum
from pathlib import Path
from lib.common.exceptions import EtypeCastError
class Etype(Enum):
""" The 'Any' etype returns all paths to all media in an element
{ "media": { "paths": [ /* all paths as strings */ ] } }
"""
Any = 0
# a single image
Image = 1
# a single vi... |
# Generated by Django 3.0.8 on 2020-10-16 15:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main_app', '0003_auto_20201015_1858'),
]
operations = [
migrations.RenameField(
model_name='smartphone',
old_name='sd_volume... |
#B
from turtle import forward, right
#get height input
#get width input
#loop twice:
#draw 1 line (height)
#turn 90 degrees
#draw another line (width)
#turn 90 degrees
making_rectangle = True
while making_rectangle:
try:
height = int(input("Height: "))
width = int(input("Width: ")... |
# Generated by Django 2.0.7 on 2019-01-06 21:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('basedata', '0037_auto_20190106_2107'),
]
operations = [
migrations.AlterField(
model_name='worknode',
name='doc',
... |
from itertools import cycle
import re
from urllib.request import urlopen
import logging
from random import SystemRandom
RE_PROXYLINE = re.compile(r"^([^:]+):(\d+)$")
RE_PROXYLINE_AUTH = re.compile(r"^([^:]+):(\d+):(.+?):(.+)$")
logger = logging.getLogger("crawler.proxylist")
randomizer = SystemRandom()
class Proxy(o... |
#!/usr/bin/python
from bs4 import BeautifulSoup
import sqlite3
class db:
def __init__(self, filename):
self.Filename = filename
self.Connection = sqlite3.connect(filename)
self.Cursor = self.Connection.cursor()
def SaveProfile(self, url, soup):
# Extract the info from the soup... |
from bs4 import BeautifulSoup as bs
from urllib.request import (urlopen, urlretrieve)
import re
class Scraper:
@staticmethod
def get_plain_text_from_url(url: str) -> str:
soup = bs(urlopen(url), 'html.parser')
text = soup.get_text().strip()
text = re.sub(r'(\n\s*)+\n+', '\n\n', text)
... |
# problem statement:
# program should calculate the salary of all employess on
# particular dob,
# ex: for dob 01-01-1980 o/p shuld be 100+300=400
# ex: for dob 01-01-1981 o/p shuld be 200+400=600
data="""id,fname,lname,age,dob,salary
1,abhi,jit,34,01-01-1980,100
2,aabhi,jit2,35,01-01-1981,200
13,aaabhi,jit3,36,01-01-... |
# -*- coding: utf-8 -*-
#helloworld file
print('Hello World, glad to be in GCI-2019')
#comment comment
|
import configparser
import numpy as np
def parse_glove(path, dim=300):
print("Parsing glove", flush=True)
glove_embeddings = {}
with open(path, "r", encoding="utf8") as f:
for line in f.readlines():
elements = line.strip().split(" ")
word = elements[0]
vec = np.... |
# Generated by Django 2.2.2 on 2019-12-10 01:49
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DataSetCondition',
fields=... |
from . import real_debrid
def get_cached_url(magnet_hash, filename):
rd_cached_url = real_debrid.get_cached_url(magnet_hash, filename)
if rd_cached_url:
return rd_cached_url
return None
|
import time
import os
def tac_newPayInstruction(driver):
time.sleep(5)
frame = driver.find_element_by_xpath(".//*[@id='form-tabs-iframeArea']/iframe[2]")
driver.switch_to_frame(frame)
driver.find_element_by_xpath(".//*[@id='tbNew']/input").click()
time.sleep(5)
driver.switch_to.default_content(... |
import Util
import pygame
import Naves
class Andromeda(Naves.Nave):
def __init__(self,img,vel,pos,sonidos):
Naves.Nave.__init__(self, img, pos, vel,sonidos)
self.imagen = [img.imgEnemigo]
self.team = 10 #friend or foe
self.vista=0
self.escudo.energia=0
self.e... |
from .detection import Detect
from .prior_box import PriorBox
from .receptive_field_prior import ReceptiveFieldPrior
__all__ = ['Detect', 'PriorBox', 'ReceptiveFieldPrior']
|
from .actions import *
from .grid import *
from .report import *
from .query import *
|
'''
Gil Garcia
ASTR232 - Cosmology
Sept 11, 2019
HW1
'''
### routines needed for the assignment ###
#To find the line of best fit's slope and y-int, I created a method of least squares fxn
def least_squares(x,y):
N=float(len(x))
#We know will use the equations given in class to find A and B
#A= y-int, B= slope
d... |
# Generated by Django 2.1 on 2019-06-07 08:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('maths', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='maths',
name='description',
f... |
# -*- coding: utf-8 -*-
from database import init_db, db_session
from models import User, Group, Location, Event
from werkzeug import generate_password_hash
import datetime
init_db()
session = db_session()
user = User(
username='martin.czygan@gmail.com',
first_name='Martin',
last_name='Czygan',
dob=datetime.date... |
from random import randrange
from time import sleep
jokenpo = ['Pedra', 'Papel', 'Tesoura']
random_index = randrange(len(jokenpo))
escolha_computador = jokenpo[random_index]
print('[0] Pedra (punho fechado)')
print('[1] Papel (mão aberta)')
print('[2] Tesoura (dois dedos esticados)')
opcao = int(input('Qual você quer... |
from .cross import cross
from .load_obj import load_obj
from .look import look
from .look_at import look_at
from .mesh import Mesh
from .optimizers import Adam
from .perspective import perspective
from .rasterize import rasterize, rasterize_silhouettes, rasterize_rgba, rasterize_rgb, rasterize_depth, rasterize_all
from... |
#!/usr/bin.python
# -*- coding: utf-8 -*-
import os, sys, inspect, csv, json, time
import Queue, threading
pfolder = os.path.realpath(os.path.abspath (os.path.join(os.path.split(inspect.getfile( inspect.currentframe() ))[0],"..")))
if pfolder not in sys.path:
sys.path.insert(0, pfolder)
import sframe as sf
from... |
import re
import itertools
with open("input.txt") as f:
aoc_input_data = f.readlines()
position_regex = re.compile(r'([0-9]+),([0-9]+)')
size_regex = re.compile(r'([0-9]+)x([0-9]+)')
def calculate_square_inches(input_data):
points = set()
common_points = set()
for data in input_data:
positi... |
#!/usr/bin/python
from Bio import SeqIO
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV, cross_val_score, KFold
import numpy as np
import csv
from featuresetup_module import transcript_info, transcript_info_dict
from sklearn.externals import joblib
from sklearn import preprocessing
import ... |
__author__ = __maintainer__ = "Elyas Heidari"
__email__ = 'eheidari@student.ethz.ch'
__version__ = "0.1.1"
from . import classifier, model, sage, utils, MGA_data, DHH_data
|
#!/usr/bin.python
# -*- coding: utf-8 -*-
import os
from luigi import six
import luigi
import luigi.contrib.hadoop
import luigi.contrib.hdfs
import commands
def cmd(cmdstr):
#执行Liunx Shell命令并返回状态码
#cmmands:Python中的commands模块专门用于调用Linux shell命令,并返回状态和结果。
exit_code = commands.getstatusoutput(cmdstr)[0]
... |
import json
import logging
import typing
import aiohttp
from aiohttp import hdrs
import aiohttp_socks
from . import config
from . import common
from . import models
logger = logging.getLogger(config.LOGGER_NAME)
class RZDClient:
def __init__(self):
self._session: typing.Optional[aiohttp.ClientSession]... |
from sklearn.datasets import load_files
from keras.utils import np_utils
import numpy as np
from glob import glob
def load_dataset(path):
print(path)
data = load_files(path)
print('데이타 로드')
dog_files = np.array(data['filenames'])
print('넘파이 어레이 화')
dog_targets = np_utils.to_categorical(n... |
import mysql.connector
import constants
myCon = mysql.connector.connect(
host=constants.DB_HOST,
user=constants.DB_USER,
# password= constants.DB_PASSWORD,
database=constants.DB_NAME)
mycur = myCon.cursor()
with open('schema.sql') as f:
mycur.execute(f.read())
myCon.commit()
myCon.close()
|
import os
from Tkinter import *
import imp
import tkjv.TreeWidget
from tkjv.TreeWidget import TreeItem
from tkjv.TreeWidget import TreeNode
from tkjv.TreeWidget import ScrolledCanvas
import redis_tree
class RedisItem(TreeItem):
def __init__(self, node_id):
self.node_id = node_id
self.node = redis... |
from django.shortcuts import get_object_or_404, redirect
from django.contrib import messages
from django.forms.models import inlineformset_factory, modelformset_factory, formset_factory, modelform_factory
from apps.tests.models import Test, TestCase
def test(request):
test_id = request.session.get('test', None)... |
import tkinter as tk
from webscrapper import search
import webbrowser
COLOR = "#ffa200"
def query(var):
newVar = search(var)
label['text'] = newVar[0]
def linkopen(var, num):
new = 1
url = search(var)[1][num]
webbrowser.open(url,new=new)
# innit tkinter
root = tk.Tk()
root.attri... |
"""This module contains various utility functions"""
import matplotlib.pyplot as plt
from scipy.stats import norm
def group_res(data, group_cols, statistic):
"""Splits dataframe into dictionary based on grouping
:param data: input data to be split
:param group_cols: group columns for data
... |
import os
import sys
print("version of python: ", sys.version)
# r for reading
# w for writing
# a for appending
# creating file with content
f0 = open("F:\\file1.txt", "w")
print("opening a new file file1.txt & writing contents to it")
f0.write("Hi Hello Good morning \n")
f0.write("End of File")
f0.close()
# # rea... |
import json
import psutil
from was import app
from was.models import *
from was.decorators import args, auth
from utils import mongodb
from flask import request, jsonify, json
from pony.orm import db_session, core, select
from pony.orm.core import ObjectNotFound
from datetime import datetime, timedelta
def search_db(u... |
from sklearn.datasets import fetch_20newsgroups
from sklearn.naive_bayes import MultinomialNB
from sklearn.feature_extraction.text import CountVectorizer
emails = fetch_20newsgroups()
print(emails.target_names)
categories = ['rec.sport.baseball', 'rec.sport.hockey']
emails = fetch_20newsgroups(categories=categories)
... |
class Solution:
def build_string(self, string):
stack = []
for s in string:
if s != '#':
stack.append(s)
elif s == '#' and stack:
stack.pop()
return ''.join(stack)
def backspaceCompare(self, S, T):
"""
:type S: str... |
# function are first class citizen in Python
# can be used anywhere where an indetifier could be used
# passed to functions, return from functions etc.
def logusage(f):
def function_wrapper(*args, **kwargs):
print("="*30)
print("calling function: %s" % f.__name__)
print("args=%s, kwargs=%s"... |
# property
# 定义一个person类,具有name,age属性
# 对于任意输入的姓名,我们希望都用大写方式保存
# 年龄,我们希望内部统一用整数保存
# x = property(fget,fset,fdel,doc)
'''
class Person():
def fget(self): # 函数的名称可以任意
return self._name
def fset(self,name):
self._name = name.upper() # 所有输入的姓名以大写形式保存
def fdel(self):
self._name = "... |
'''
Author: Sonal Ranjit
This script transforms a give time series to the frequency domain using the method of
Least Squares. The main concept here is to determine the coefficients of a sum of
sine and cosines functions that best fit the given time series.
The function to fit in the problem is: p(w_j) = c1*sin(2piw_j... |
import cv2
import os
import math
labels_path = 'labels/train/'
img_path = 'images/train/'
labels = []
for file in (os.listdir(labels_path)):
if file.split('.')[1] == 'txt':
labels.append(labels_path + file)
print(labels)
for label in labels:
l = label
aux = label.split('/')[2]
img = img_path + aux.split('.')... |
# encoding: utf8
from __future__ import unicode_literals
STOP_WORDS = set("""
а або адже але алло
багато без безперервно би більш більше біля близько був буває буде будемо будете будеш буду будуть будь була були було бути
в важлива важливе важливий важливі вам вами вас ваш ваша ваше ваші вгорі вгору вдалині вже ви ... |
# -*- coding: utf-8 -*-
import pywapi
result = pywapi.get_weather_from_yahoo('JAXX0085')
weather = '---\n' + \
result['title'] + '\n現在の' + \
result['location']['city'] + u'の天気:' + \
result['condition']['text'] + u'\n' +\
u'---'
print weather
|
import numpy as np
def compute_error_for_given_points(b, m , data_points):
totalError = 0
for i in range(0, len(data_points)):
x = data_points[i, 0]
y = data_points[i, 1]
#By the Error Formula
totalError = totalError + (y - (m * x + b)) ** 2
return totalError / float(len(d... |
import replitdb.commands
def main():
import sys
import os
del sys.argv[0]
url = False
setUrl = os.environ['REPLIT_DB_URL']
args = []
for i in sys.argv:
if(url):
url = False
setUrl = i
elif(i.lower()=='-url'):
url = True
else:
args.append(i)
... |
"""
distutilazy.command.clean_jython_class
--------------------------------------
Command to clean compiled .class files created by Jython.
:license: MIT. For more details see LICENSE file or
https://opensource.org/licenses/MIT
"""
import distutilazy.clean
class clean_jython_class(distutilazy.clean.CleanJythonClass... |
import numpy as np
def productoMatrix(a,b):
"""
Producto de Matrices (m x n) = (m x l)(l x n)
"""
c = np.zeros((len(a),len(b[0])))
for i in range(len(a)):
for j in range(len(b[0])):
for k in range(len(b)):
c[i,j] += a[i,k]*b[k,j]
return c
def productoM... |
a = "whats good"
b = 2
print('hello world')
#this is the new change
c = 5 |
me = {}
me['Name'] = 'Pete'
me['Age'] = 29
me ['Country of Birth'] = "USA"
me ["Favorite Langauge"] = 'JavaScript'
def dictionaryInputs (dictionary):
for key, data in dictionary.iteritems():
print 'My', key, 'is', data
dictionaryInputs(me) |
import randStr
def test_randWord(self):
# Failure message:
# Tests if random word is returned
s1 = "Hello, this is my test string and should only be one word in return"
t1 = randStr.randWord(s1, "a")
t3 = randStr.randWord(s1, "b")
t4 = randStr.randWord(s1, 5)
t5 = randStr.randWord(s1)
... |
import base64
def get_base64_diff_value(s1, s2):
"""get base64 diff value"""
base64chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
for i in range(len(s2)):
if s1[i] != s2[i]:
return abs(base64chars.index(s1[i]) - base64chars.index(s2[i]))
return 0
def so... |
# coding: utf-8
class Solution:
# @param nums, a list of integer
# @param k, num of steps
# @return nothing, please modify the nums list in-place.
def rotate(self, nums, k):
for x in range(k):
num = nums[-1]
nums.pop()
nums.insert(0, num)
return None
... |
class Graph(object):
def __init__(self, entities, triggers, relations, roles, vocabs, mentions=None):
"""
:param entities (list): A list of entities represented as a tuple of
(start_offset, end_offset, label_idx). end_offset = the index of the end
token + 1.
:param triggers (... |
from flask import Flask, request, jsonify, Blueprint
from db import db
import json
from .api_utils import create_http_response
app = Flask(__name__)
betting = Blueprint('betting', __name__)
@betting.route('/api/betting/place_bet', methods=['POST'])
def place_bet():
'''
Places a bet into the database, and ret... |
# -*- coding: utf-8 -*-
#############
#
# Copyright - Nirlendu Saha
#
# author - nirlendu@gmail.com
#
#############
import inspect
import sys
from libs.logger import app_logger as log
import database as discover
def get_discovery(
person_id,
):
log.info('IN - ' + sys._getframe().f_code.co_name)
... |
import pygame
import gameLogic
# pygame initialization
pygame.init()
gameLogic.intro()
gameLogic.instructions()
gameLogic.game()
pygame.quit()
quit()
|
#Programa: act20.py
#Propósito: una compañía de transporte internacional tiene servicio en algunos países de América del Norte, América Central, América del Sur, Europa y Asia. El costo por el servicio de transporte se basa en el peso del paquete y la zona a la que va dirigido.
#Autor: Jose Manuel Serrano Palomo.
#Fech... |
from scipy.io import loadmat
'''
Step 0: Load the data from './data/lab8spam_train.mat' and './data/lab8spam_test.mat'
'''
dataset_train = loadmat('data/lab8spam_train.mat')
print(dataset_train.keys())
dataset_test = loadmat('data/lab8spam_test.mat')
print(dataset_test.keys())
print('\n')
X_train = dataset_train[... |
from ..bases.imag_ffts import _ImagFFTBasis
import numpy as np
from ..fmks.func import deprecate
class CahnHilliardSimulation(_ImagFFTBasis):
r"""
Solve the `Cahn-Hilliard equation
<https://en.wikipedia.org/wiki/Cahn-Hilliard_equation>`__ for
multiple samples in arbitrary dimensions. The concentration ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.