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import numpy as np
from keras.layers import Input,Dense, Activation
from keras.models import Model
from keras.utils.generic_utils import get_custom_objects
# this function is just for example of usage of keras functional API
def XOR_train_fully_keras():
#Since Q1 (XOR) only asks for drawing, in the code, I used ... |
"""LoaderPool class.
ChunkLoader has one or more of these. They load data in worker pools.
"""
from __future__ import annotations
import logging
from concurrent.futures import (
CancelledError,
Future,
ProcessPoolExecutor,
ThreadPoolExecutor,
)
from typing import TYPE_CHECKING, Callable, Dict, List, O... |
import sys
import argparse
from misc.Logger import logger
from core.awschecks import awschecks
from core.awsrequests import awsrequests
from core.base import base
from misc import Misc
class securitygroup(base):
def __init__(self, global_options=None):
self.global_options = global_options
logger.... |
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def reverseList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
prev = None
curr = head
... |
# settings.py
import os
import djcelery
djcelery.setup_loader() # 加载 djcelery
BROKER_URL = 'pyamqp://guest@localhost//'
BROKER_POOL_LIMIT = 0
CELERY_RESULT_BACKEND = 'djcelery.backends.database:DatabaseBackend'
CELERY_RESULT_BACKEND = 'django-db'
CELERY_CACHE_BACKEND = 'django-cache'
ALLOWED_HOSTS = os.environ.g... |
#!/usr/bin/python3.4
# -*-coding:Utf-8
adress = """{nom}, {prenom}, {ville} ({pays})""".format(prenom="Anthony", nom = "TASTET", ville = "Bayonne", pays = "FRANCE")
print(adress)
|
from Classes import Property, Note
from General import Functions
class Person:
def __init__(self, data_dict):
self.data_dict = data_dict
self.property_list = self.get_property_list()
self.note_list = self.get_note_list()
def get_property_list(self):
return [
Pr... |
"""
Created on Sat Nov 18 23:12:08 2017
@author: Utku Ozbulak - github.com/utkuozbulak
"""
import os
import numpy as np
import torch
from torch.optim import Adam
from torchvision import models
from misc_functions import preprocess_image, recreate_image, save_image
class CNNLayerVisualization():
"""
Prod... |
import gzip
import string
import numpy as np
from collections import defaultdict
def get_sentences(corpus_file):
"""
Returns all the (content) sentences in a corpus file
:param corpus_file: the corpus file
:return: the next sentence (yield)
"""
# Read all the sentences in the file
with ope... |
import os
class BaseConfig(object):
"""Base config class"""
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = 'AasHy7I8484K8I32seu7nni8YHHu6786gi'
TIMEZONE = "Africa/Kampala"
SQLALCHEMY_TRACK_MODIFICATIONS = True
UPLOADED_LOGOS_DEST = "app/models/media/"
U... |
from nipype.pipeline.engine import Node, Workflow
import nipype.interfaces.utility as util
import nipype.interfaces.fsl as fsl
import nipype.interfaces.c3 as c3
import nipype.interfaces.freesurfer as fs
import nipype.interfaces.ants as ants
import nipype.interfaces.io as nio
import os
def create_coreg_pipeline(name='c... |
#! /usr/bin/env python3
import pandas as pd, pandas
import numpy as np
import sys, os, time, fastatools, json, re
from kontools import collect_files
from Bio import Entrez
# opens a `log` file path to read, searches for the `ome` code followed by a whitespace character, and edits the line with `edit`
def log_editor... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 20 15:06:23 2020
@author: thomas
"""
#MODULES
import os,sys
import numpy as np
import pandas as pd
from mpl_toolkits import mplot3d
import matplotlib as mpl
#mpl.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLoca... |
# coding: utf-8
# # Part 1 of 2: Processing an HTML file
#
# One of the richest sources of information is [the Web](http://www.computerhistory.org/revolution/networking/19/314)! In this notebook, we ask you to use string processing and regular expressions to mine a web page, which is stored in HTML format.
# **The ... |
# -*- coding: utf-8 -*-
import numpy as np
import mat4py
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import sys
from sklearn import preprocessing
def distance(pointA, pointB):
return np.linalg.norm(pointA - pointB)
def getMinDistance(point, centroids, numOfcentroids):
min_distance = sys... |
# Generated by Django 2.2.6 on 2019-10-19 13:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('food', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='food',
name='CO2',
field=mod... |
from flask import Flask, jsonify, render_template, send_file
app = Flask(__name__, template_folder='templates')
from crawler import getFileNames, searchInternet
import os, pdfkit
@app.route("/search=<query>")
def search(query):
searchInternet(query)
resp = jsonify({"data": "Success"})
resp.headers['Acces... |
from pandas import *
from ggplot import *
import pprint
import datetime
import itertools
import operator
import brewer2mpl
import ggplot as gg
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pylab
import scipy.stats
import statsmodels.api as sm
import pandasql
from datet... |
import datetime
import os
import requests
from mastodon import Mastodon
from bitcoin_acks.database.session import session_scope
from bitcoin_acks.models import PullRequests
from bitcoin_acks.models.toots import Toots
MASTODON_CREDPATH = os.environ['MASTODON_CREDPATH']
MASTODON_APPNAME = os.environ['MASTODON_APPNAME'... |
from keras.models import Sequential
from keras.layers import LSTM
from legacy import AttentionDecoder
model = Sequential()
model.add(LSTM(150, input_shape=(20,1), return_sequences = True))
model.add(AttentionDecoder(150, 3))
model.summary()
model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metri... |
from django.conf.urls import patterns, include, url
from storefront import views
from tastypie.api import Api
from storefront.api import StoreResource,AlbumResource
store_resource = StoreResource()
v1_api = Api(api_name='v1')
v1_api.register(StoreResource())
v1_api.register(AlbumResource())
# Uncomment the next two... |
import data_cruncher, sqlite3
from aocmm_functions import insert_probabilities
conn = sqlite3.connect("data.db")
c = conn.cursor()
## Gets data from user
lines = []
while True:
line = raw_input()
if line:
lines.append(line)
else:
break
typing_data = "".join(lines)
typing_data = typing_da... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import hashlib
import ConfigParser
import datetime
import sys
sys.path.append("/SysCollect/class/config")
import db
import logMaster
class Auth(object):
def __init__(self):
config = ConfigParser.ConfigParser()
config.read('/SysCollect/class/config/config.c... |
from rest_framework import generics, serializers
from .models import PointTable
from .serializers import PointTableSerializer
class PointsTableApi(generics.ListAPIView):
"""
api to return list of teams
"""
model = PointTable
serializer_class = PointTableSerializer
def get_queryset(self):
... |
from tfcgp.config import Config
from tfcgp.chromosome import Chromosome
from tfcgp.problem import Problem
import numpy as np
import tensorflow as tf
from sklearn import datasets
c = Config()
c.update("cfg/base.yaml")
data = datasets.load_iris()
def test_creation():
p = Problem(data.data, data.target)
print(p.... |
class Routes:
endpoints = "/products/"
|
from train import start_training
import argparse
def parse_args():
parser = argparse.ArgumentParser(description='Model that learns method names.')
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('--train', '-t', action='store_true', help='train the model')
group.add_argum... |
import tkinter as tk
window_main = tk.Tk()
window_main.title("Keypress Viewer")
window_main.iconbitmap("favicon.ico")
window_main.geometry("500x500")
text_to_display = tk.StringVar(window_main)
display_label = tk.Label(window_main, textvariable=text_to_display, font="none 60 bold")
display_label.config(anchor="center... |
def volboite(x1=10 , x2=10, x3=10):
v = x1 * x2 * x3
return(v)
def maximum(n1, n2, n3):
m=0
if n1>n2 and n1>n3:
m = n1
if n2>n1 and n2>n3:
m = n2
if n3>n1 and n3>n2:
m = n3
return(m)
print(volboite(5.2, 3)) |
#!/usr/bin/python3
import pymongo
'''
Read a text file and seed it's contents into a collection
'''
uri = 'mongodb+srv://user:password@host'
client = pymongo.MongoClient(uri)
collection = client.collectionname
# Insert one record into the collection
def seed(content, category):
collection.insert_one(
{
... |
from fabdefs import *
from fabric import api
import os
python = "%s/bin/python" % env_dir
pip = "%s/bin/pip" % env_dir
def deploy():
with api.cd(code_dir):
api.run("git pull origin master")
api.run("%s install -r %s/deploy/production.txt --quiet" % (pip, code_dir))
with api.cd(os.path.joi... |
# Clase que controla el uso de los distintos
# avatares disponibles para el usuario
# Dependiendo de su 'score' tendrá acceso
# a más o menos avatares
import os
PWD = os.path.abspath(os.curdir)
avatars = os.listdir(PWD + r"/aplicacion/static/avatars")
avatars.remove("default_avatar.png")
# Los ficheros cuyo nombre ... |
import sys
import math
class SetOfStacks:
#define the size of EACH individual stack
CHUNK = 7;
def __init__(self, input_data=[]):
self.size = 0;
self.stack_count = 0;
self.stack_stack = [];
self.extend(input_data);
#write data onto those stacks
... |
import argparse
import asyncio
import base64
import collections
import json
import math
import os
import pprint
import websockets
DEFAULT_HOST = 'localhost'
DEFAULT_PORT = 3000
class FileTreeNode:
def __init__(self, path, is_file, size=None, children=None):
self.path = path
self.base_name = os.pa... |
# Fit the Lotka-Volterra with prey density dependence rR(1 - R/K), plot and save population dynamics between consumer and resource with input from command line
# import packages
import scipy as sc
import numpy as np
import scipy.integrate as integrate
import matplotlib.pylab as p
import sys
# define a function that r... |
import requests
from lxml import etree
import time
import random
import pymysql
class FundSpider:
def __init__(self):
self.url = 'http://www.southmoney.com/fund/'
self.headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.75 Safari/537.3... |
#NOVA
#by TheDerpySage
import discord
from discord.ext import commands
import asyncio
import nova_config
import db_functions
import email_functions
from datetime import datetime
desc = '''NOVA-BOT
A planner robot.'''
bot = commands.Bot(command_prefix='n$',description=desc)
#This is a buffer for the messages sent.
... |
# hello.py
"""
Usage:
$ python hello.py manage.py
"""
import sys
import os
from django.conf import settings
from django.urls import path
from django.http import HttpResponse
from django.shortcuts import render
ALLOWED_HOSTS = os.environ.get('ALLOWED_HOSTS', 'localhost').split(',')
BASE_DIR = os.path.dirname(... |
import numpy as np
import tensorflow as tf
from boxes import get_boxes, get_final_box
from constants import real_image_height, real_image_width, feature_size
from models.classifier import Classifier
from models.feature_mapper import FeatureMapper
from models.regr import Regr
from models.roi_pooling import RoiPooling
f... |
#!/usr/bin/env python
# Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies that the global xcode_settings processing doesn't throw.
Regression test for http://crbug.com/109163
"""
import TestGyp
impor... |
import os
import uuid
from time import sleep
from datetime import datetime, timedelta
from flask import Flask, request, flash, redirect, url_for, send_from_directory, g, render_template
from flask_analytics import Analytics
from peewee import *
from fisheye import FisheyeVideoConverter
import concurrent.futures
impo... |
#!/bin/env python
# Copyright 2021 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... |
from .Factorial import Factorial
import unittest
class TestFactorial(unittest.TestCase):
def test_one(self):
self.assertEqual(Factorial(1), 1)
def test_five(self):
self.assertEqual(Factorial(5), 120)
def test_fifteen(self):
self.assertEqual(Factorial(15), 1307674368000)
if __name... |
#!/usr/bin/env python
import RPi.GPIO as GPIO
import signal
import sys
sys.path.append('/home/pi/Desktop/smartScan/RFID_BarCodeRpi')
from scanRFID import SimpleMFRC522
from scanRFID import MFRC522
continue_reading = True
def barcodeReader():
shift = False
hid = { 4: 'a', 5: 'b', 6: 'c', 7: 'd', 8: 'e', 9: 'f... |
import unittest
from katas.kyu_7.thinking_and_testing_something_capitalized import \
testit as solution
# py.test seems to have issues when function name has 'test' in it
class SomethingCapitalizedTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(solution(''), '')
def test_equ... |
from datetime import datetime
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.db.models import Prefetch, Q
from django.http import Http404
from django.views.generic import ListView, TemplateView
from elections.models import Election
from organisations.models import Organisation
c... |
import math as m
def distance(lat1, lat2, long1, long2):
#haversine formula
r = 6371.009 #km
lat1, lat2, long1, long2 = map(m.radians,[lat1,lat2,long1,long2])
inner = (m.sin((lat2-lat1)/2)**2)+(m.cos(lat1)*m.cos(lat2)*(m.sin((long2-long1)/2)**2))
inside = m.sqrt(inner)
d = 2*r*m.asin(inside)
return d
|
class Personne:
def __init__(self,nom,prenom,age,moyenne): #constructor
self.nom = nom
self.prenom = prenom
self.age = age
self.moyenne = moyenne
def Say(self): #methode
return "Hello "+self.nom+" "+self.prenom
def Age(self):
if(self.age>40):
... |
'''
By Real2CAD group at ETH Zurich
3DV Group 14
Yue Pan, Yuanwen Yue, Bingxin Ke, Yujie He
Editted based on the codes of the JointEmbedding paper (https://github.com/xheon/JointEmbedding)
As for our contributions, please check our report
'''
import argparse
import json
from typing import List, Tuple, Dict
import os... |
noodlephrase = '<b>GIVE ME NY NOODLES BACK, U GODDAMN SON OF A BITCH!</b>\nOtherwise im gonna do nothing.' \
' Thanks.\n\n<code>P.S. This aint gonna stop till u will give me my lovely noodles back. This messages ' \
'are sent by a fully autonomous AI that is so advanced, that you cant even... |
import requests
cfg = {
"time": "2019-05-01T00:00:00Z",
"driver": "bsync_driver.BuildingSyncDriver",
"mapping_file": "data/buildingsync/BSync-to-Brick.csv",
"bsync_file": "data/buildingsync/examples/bsync-carytown.xml"
}
resp = requests.post('http://localhost:5000/get_records', json=cfg)
print(resp.js... |
import graphene
from architect.document.models import Document
from graphene import Node
from graphene_django.filter import DjangoFilterConnectionField
from graphene_django.types import DjangoObjectType
class DocumentNode(DjangoObjectType):
widgets = graphene.List(graphene.types.json.JSONString)
class Meta:... |
# !/usr/bin/python
# -*- coding:utf-8 -*-
import multiprocessing as mp
import tensorflow as tf
from sub_tree import sub_tree
from sub_tree import node
import sys
import logging
import time
import Queue
import numpy as np
from treelib import Tree
import copy
from utils import compute_bleu_rouge
from utils import norma... |
from django.conf import settings
from confapp import conf
from pyforms.basewidget import segment
from pyforms_web.web.middleware import PyFormsMiddleware
from pyforms_web.widgets.django import ModelAdminWidget
from finance.models import ExpenseCode
class ExpenseCodeListApp(ModelAdminWidget):
TITLE = 'Expense c... |
"""Plot source space NDVars with mayavi/pysurfer."""
# Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
from ._brain import (activation, cluster, dspm, stat, surfer_brain, annot,
bin_table, copy, image, p_map, annot_legend)
|
import speech_recognition as sr
import pyaudio
import wave
from pydub.playback import play
from pydub import AudioSegment
import numpy as np
import struct
import time
sr.__version__
FORMAT = pyaudio.paInt16
LEN = 10**100
PASS = 5
CHANNELS = 1
RATE = 44100
CHUNK = 1024
RECORD_SECONDS = 3
MIN_STRING_LIST_LENGTH = 9
WAVE... |
#!/usr/bin/env python
# Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
""" Verifies that VS variables that require special variables are expanded
correctly. """
import sys
import TestGyp
if sys.platform == 'wi... |
import turtle
import math
a = 200
b = 100
pop = turtle.Turtle()
pop.hideturtle()
pop.speed(5)
for i in range(33):
if i == 0:
pop.up()
else:
pop.down()
pop.setposition(a*math.cos(i/10), b*math.sin(i/5))
pop.setposition(a*math.cos(i/10), b*math.sin(... |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 26 14:15:25 2013
@author: bejar
"""
import scipy.io
import numpy as np
from scipy import signal
def zeroedRange(freq,length,limi,limf):
nqfreq=freq
bins=nqfreq/length
rlimi=limi/bins
rlimf=limf/bins
return(int(rlimi),int(rlimf))
def filterSignal(d... |
# NO IMPORTS!
#############
# Problem 1 #
#############
def runs(L):
""" return a new list where runs of consecutive numbers
in L have been combined into sublists. """
runs = []
current_run = []
if len(L)>0:
current_run = [L[0]]
for i in range(len(L)-1):
if L[i]+1==L[i+1]:
... |
# -*- coding: utf-8 -*-
# This code is initially based on the Kaggle kernel from Sergei Neviadomski, which can be found in the following link
# https://www.kaggle.com/neviadomski/how-to-get-to-top-25-with-simple-model-sklearn/notebook
# and the Kaggle kernel from Pedro Marcelino, which can be found in the link bel... |
# -*- coding: UTF-8 -*-
# Filename : helloworld.py
# author by : Jay
print('Hello world')
num1 = input('input first number:')
num2 = input('input second number:')
sum = float(num1) + float(num2)
print('sum of num {0} and num{1}: {2}'.format(num1, num2, sum))
# 平方根
num3 = input('input third number:')
num_sqt = f... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-01-01 10:26
from __future__ import unicode_literals
from django.db import migrations
import tinymce.models
class Migration(migrations.Migration):
dependencies = [
('main', '0002_auto_20160101_0918'),
]
operations = [
migrations.R... |
class Signin:
account_ID = 0
account_name = ""
account_height = 0
account_weight = 0
account_birthday = ""
account_level = 0
account_address = ""
account_pass = ""
def __init__(self, account_ID, account_name, account_height, account_weight,
account_birthday, account... |
# change url to channel.zip --> download a zip file that contains a readme.txt
import re
import zipfile
channel_zip_file = zipfile.ZipFile("channel.zip")
file_name = str(90052)
commentList = []
while file_name != "":
f = open("channel/"+ file_name + ".txt", "r")
data = f.read()
print(data)
number = r... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import re
line = "Cats are smarter than dogs";
matchObj = re.match(r'dogs',line,re.M|re.I)
if matchObj:
print "match --> matchObj.group() : ",matchObj.group()
else:
print "No match!!"
matchObj2 = re.search(r'dogs',line, re.M|re.I)
if matchObj2:
print "search -... |
#!/usr/bin/env python
# coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as func
class MultiLabelLoss(nn.Module):
def __init__(self):
super(MultiLabelLoss,self).__init__()
return
def forward(self,input,target):
batch_size = input.size()[0]
loss = func... |
#!/usr/bin/env python
# encoding: utf-8
import urllib
import logging
from tornado.gen import coroutine
from tornado.httpclient import AsyncHTTPClient
from settings import ALERT_SMS_API, ALERT_SMS_TOKEN
@coroutine
def sender(mobiles, content):
"""
TODO: 这里使用的sms接口，是根据voice猜出来的，所以实现方式
与voice一模一样也能发送，只是接口... |
from django.contrib import admin
# Register your models here.
from .models import Question, Choice
'''
=> admin.site.register(Question)
=> admin.site.register(Choice)
Ao registrarmos o modelo de Question através da linha admin.site.register(Question),
o Django constrói um formulário padrão para representá-lo. ... |
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.parameter import Parameter
AdaptiveAvgPool2d = nn.AdaptiveAvgPool2d
class AdaptiveConcatPool2d(nn.Module):
def __init__(self, sz=None):
super().__init__()
sz = sz or (1, 1)
self.ap = nn.AdaptiveAvgPool2d(... |
__author__ = 'pg1712'
# The MIT License (MIT)
#
# Copyright (c) 2016 Panagiotis Garefalakis
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitatio... |
from aiogram import types
choice = types.InlineKeyboardMarkup(
inline_keyboard=[
[
types.InlineKeyboardButton(text="vk", url="https://vk.com/papatvoeipodrugi"),
types.InlineKeyboardButton(text="trello", url="https://trello.com/b/zStEwgMk/%D0%BF%D0%BE%D0%BC%D0%BE%D1%89%D0%BD%D0%B8%... |
from fabric.api import local, task
repos = (
{
'name': 'gch-content',
'path': 'content',
'url': 'git@github.com:zombie-guru/gch-content.git',
'branch': 'master',
},
{
'name': 'gch-theme',
'path': 'theme',
'url': 'git@github.com:zombie-guru/gch-theme.... |
import os
from easydict import EasyDict as edict
cfg1 = edict()
cfg1.PATH = edict()
cfg1.PATH.DATA = ['/home/liuhaiyang/dataset/CUB_200_2011/images.txt',
'/home/liuhaiyang/dataset/CUB_200_2011/train_test_split.txt',
'/home/liuhaiyang/dataset/CUB_200_2011/images/']
cfg1.PATH.LABEL = '/home/liuhaiyang/da... |
# Generated by Django 3.2.7 on 2021-09-22 16:31
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='OCRJob',
fields=[
... |
from salem.api import AppsFlyerAPI, AppsFlyerDataLockerAPI
from salem.reporting import AppsFlyerReporter, AppsFlyerDataLockerReporter |
import tkinter as tk
from tkinter import *
from tkinter import ttk
#import defs_common
LARGE_FONT= ("Verdana", 12)
class PageEnvironmental(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init__(self, parent)
self.parent = parent
self.controller = controller
label =... |
#!/usr/bin/env python
# Copyright (C) 2012 STFC
#
# 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 applicab... |
from lib.Color import Vcolors
from lib.Urldeal import urldeal |
#!/usr/bin/python3
#Author: n0tM4l4f4m4
#Title: solver.py
import struct
import codecs
import binascii
from pwn import *
context.arch = "x86_64"
context.endian = "little"
str_v = 'NIIv0.1:'
game_1 = 'TwltPrnc'
game_2 = 'MaroCart'
game_3 = 'Fitnes++'
game_4 = 'AmnlXing'
shell_ = asm(shellcraft.sh())
checksum = 0
f... |
# coding: utf-8
# In[22]:
import pandas as pd
# In[23]:
df = pd.read_csv("/Users/naveen/Documents/python_code/Test/dataset-Sg/singapore-citizens.csv")
print(df.head(2))
|
from django.db import models
class Ad(models.Model):
class Status:
NEW = 1
APPROVED = 2
UNAPPROVED = 100
choices = (
(NEW, 'New'),
(APPROVED, 'Approved'),
(UNAPPROVED, 'Unapproved'),
)
posted_at = models.DateTimeField(auto_now_add=T... |
import sys
sys.path.append('/starterbot/Lib/site-packages')
import os
import time
import requests
from slackclient import SlackClient
from testrail import *
# settings
project_dict = {'Consumer Site': '1', 'Agent Admin': '2','Domain SEO': '5', 'Mobile Site': '6', 'Find An Agent': '10', 'Digital Data': '11'}
... |
# Generated by Django 3.0.7 on 2020-09-27 15:07
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('API', '0009_remove_respondentprofile_respondentsurveytopics'),
]
operations = [
migrations.RenameField(
model_name='respondentprofile',
... |
#!/usr/bin/env python
"""
TODO: parse the tables found in ~/scratch/simbad_classes_ptf_sources/*.tab
- create, have a table which contains this information, including the (sn,09), (agn,10).... columes
- also have a col for the tcp srcid.
- also have a column that the tcp has completely ingested that source
TODO:... |
# -*- coding: utf-8 -*-
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def findMode(self, root):
def _findMode(current, previous, count, max_count, result):
if current is None:
return previous... |
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.3.3
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import numpy as np
im... |
from __future__ import print_function, division
import numpy as np
import matplotlib.pyplot as plt
import thinkplot
from matplotlib import rc
rc('animation', html='jshtml')
import warnings
import matplotlib.cbook
warnings.filterwarnings("ignore", category=matplotlib.cbook.mplDeprecation)
from thinkstats2 import Ra... |
import numpy as np
import torch
import yaml
from tqdm import tqdm
def kmean_anchors(path='./data/coco128.yaml', n=9, img_size=640, thr=4.0, gen=1000, verbose=True):
""" Creates kmeans-evolved anchors from training dataset
Arguments:
path: path to dataset *.yaml, or a loaded dataset
... |
import nltk, os
def get_documentos():
documentos = []
path = "/home/mateus/Documents/TESIIII/GameOfTESI-2-master/DataBase/episodesTXT"
for i in range(1, 7):
season_path = path + "/season_" + str(i)
for filename in os.listdir(season_path):
documentos.append(season_path ... |
def yes_or_no(question):
while True:
answer = input(question + " [y or Enter/n]: ").lower()
if answer.startswith('y') or not answer:
return True
elif answer.startswith('n'):
return False
print("Invalid answer. Please enter either 'yes', 'y', 'no', 'n'.")
def ... |
from rest_framework import serializers
from billings.models import Invoice,BillType,Payment
from djmoney.money import Money
import datetime
class BillTypeSerializer(serializers.ModelSerializer):
class Meta:
model = BillType
fields=(
'id',
'name',
)
class PaymentSeria... |
import requests
from bs4 import BeautifulSoup
import re
import urllib
prefix = ".//{http://www.tei-c.org/ns/1.0}"
xml = ".//{http://www.w3.org/XML/1998/namespace}"
start = 5016 # 1は除く
end = 5071
index = 1 #1 は除く
seq = 1
info = requests.get("https://genji.dl.itc.u-tokyo.ac.jp/data/info.json").json()
map = {}
count... |
from string import Template
import os
CHUNCK = 1024
ARM_LOGIN_URL = Template(
"https://www.archive.arm.gov/armlogin/doLogin.jsp?uid=$username&ui=iop"
)
SIPAM_LOCAL_PATH = Template(
os.path.join(
'/'.join(os.path.abspath(os.path.dirname(__file__)).split(os.sep)[:-1]),
'datasets/sipam/$year/$mo... |
#!/usr/bin/env python
# encoding: utf-8
'''
Find MST for facilities problem.
'''
import glob
import json
import itertools
from operator import attrgetter
import os
import random
import sys
import math
import networkx as nx
import numpy
import random as Random
#Returns an array of the shortest path between any two p... |
from django.apps import AppConfig
class MisperrisdjConfig(AppConfig):
name = 'misPerrisDJ'
|
import pygame
import sys
def Intersect(x1, x2, y1, y2, db1, db2):
if (x1 > x2 - db1) and (x1 < x2 + db2) and (y1 > y2 - db1) and (y1 < y2 + db2):
return 1
else:
return 0
window = pygame.display.set_mode((800, 670))
pygame.display.set_caption('Menu')
screen = pygame.Surface((800, 640))
info =... |
from poker.card import Card
from poker.deck import Deck
from poker.game import Game
from poker.hand import Hand
from poker.player import Player
deck = Deck()
cards = Card.create_standard_52_cards()
deck.add_cards(cards)
i = 0
hands = []
players = []
player_num = int(input("Enter the number of players: "))
while i < pl... |
def load_doc(filename):
file = open(filename, 'r')
text = file.read()
file.close()
return text
def save_doc(lines, filename):
data = '\n'.join(lines)
file = open(filename, 'w')
file.write(data)
file.close()
raw_text = load_doc('gg_gut.txt')
tokens = raw_text.split()
raw_text = ' '.join(tokens)... |
# -*- coding:utf8 -*-
# !/usr/bin/env python
# Copyright 2017 Google Inc. 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... |
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