text stringlengths 8 6.05M |
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import tkinter as tk
import tkinter.font as tkFont
import easygui
from graphSolveGain import SolveFinalGain
from graphRender import RenderSignalFlowGraph
import Maison
import Structs
maxNoOfNodes = 20
appName = 'Signal Flow Graph'
class App (tk.Frame):
def __init__(self, root=None, splashWindow=None):
... |
import re
def read_common_words(filename):
'''
Reads the commmon words file into a set.
If the file name is None returns an emtpy set. If the file cannot be
opened returnes an empty set:
'''
words = set()
if filename != None:
try:
with open(filename) as fp:
... |
import numpy
from tigger.helpers import *
TEMPLATE = template_for(__file__)
def find_local_size(device_params, max_workgroup_size, dims):
"""
Simple algorithm to find local_size with given limitations
"""
# shortcut for CPU devices
if device_params.warp_size == 1:
return [max_workgroup_s... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class ImplResourceAttributes(object):
DESCRIPTION = 'description'
DEPRECATED = 'deprecated'
RESULT_TYPE = 'result_type'
FIELD_DESCRIPTION = 'fields_description'
|
import simplegui
import random
import math
num_range = 100
# helper function to start and restart the game
def new_game():
# initialize global variables used in your code here
global allowed_guesses
if num_range == 100:
allowed_guesses = 7
elif num_range == 1000:
allowed_guesses =... |
#Python Module:
'''
* Modules are used to categorize python code into smaller parts.
* A module is simply a python file, where classes, functions and variables are defined.
* Grouping similar code into a single file makes it easy to access.
Python module advantage:
1. Reusability: Module can be used in some other pyth... |
# -*- coding: utf-8 -*-
import re, os.path
import urllib, urllib2, urlparse, cookielib
import string, json
def removeDuplicates(seq):
seen = set()
seen_add = seen.add
return [x for x in seq if not (x in seen or seen_add(x))]
def stripHtml(text):
return re.compile(r'(<!--.*?-->|<[^>]*>)').sub('', text)... |
import collections
with open('news.txt', 'r',encoding='utf-8') as f:
line = f.read() #type str
token = line.split()
token2idx = collections.defaultdict(lambda: -1)
for word in token:
if word not in token2idx:
token2idx[word] = len(token2idx)
print(token2idx)
|
"""
Draw a simple, perfectly self-similar tree, ideally using recursion.
Each branch splits off into 2 smaller branches, of half the length and
2/3 of the thickness, separated by 30 degrees. Go 6 layers deep.
"""
import turtle
def draw_simple_tree(start_heading, width, length, depth_remaining):
turtle.setheading... |
import subprocess
proc = subprocess.Popen(['echo', 'to stdout'],
stdout=subprocess.PIPE)
stdout_val, _ = proc.communicate()
print 'stdout:', repr(stdout_val)
# stdout: 'to stdout\n'
|
import os
import sys
import time
import braindecode.hyperopt.hyperopt as hyperopt
__authors__ = ["Katharina Eggensperger"]
__contact__ = "automl.org"
import logging
def parse_cli():
"""
Provide a generic command line interface for benchmarks. It will just parse
the command line according to simple rules... |
#! /usr/bin/python
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#c1 S3(cache)
#c2 S3(cache) + S4(cache) + S5(cache)
#c3 S2(cache) + S3(cache) + S4(cache) + S5(cache)
#c4 S2(cache) + S3(cache) + S4-5(cache)
#c5 S2(cache) + S3(cache) + S4(cache) + S5(2way-cache)
raw_data = {'graph': ['Youtube... |
#!/usr/bin/env python
import os
import re
def main():
cleanup_puzzle('easy')
cleanup_puzzle('simple')
cleanup_puzzle('intermediate')
cleanup_puzzle('expert')
def cleanup_puzzle(level):
file = open('design/puzzles_%s.txt' % level, 'rb')
buffer = ""
with open('res/puzzles_%s.txt' % level, 'w') as f:
... |
from django.contrib.syndication.views import Feed
from .models import Post
class LatestPosts(Feed):
title = "Q Blog"
link = "/feed/"
description = "Latest Posts of Q"
def items(self):
return Post.objects.published()[:5]
def item_title(self, item):
retu... |
# Generated by Django 3.1 on 2020-10-16 09:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('theblog', '0011_profile_website_url'),
]
operations = [
migrations.RenameField(
model_name='profile',
old_name='pinterest_url'... |
#!/usr/bin/python
import os
import select
class Counters(object):
counters = {
'storetokenandreturn' : 4,
'handledata' :5,
'overflow' : 6,
'ignorepacket' : 7,
'sendnakandreti' : 8,
'handlein' : 9,
'handlein1' : 10,
'handlein3' : 11,
'se0' : 12,
'soferror': 13
}
def __init__(self,instring):
#in... |
#!/usr/bin/env python3
import pandas as pd
import argparse
def crime_corr(target='net'):
"""correlation of crime rate with number of moves in or out of a ward."""
crime = pd.read_csv("data/Burglary_LAD_2016.csv")
migration = pd.read_csv("data/sales_"+target+"_LAD_2016.csv").set_index('lad16cd')
migr... |
import math
x1, y1 = map(float, input().split(' '))
x2, y2 = map(float, input().split(' '))
distancia = math.sqrt(math.pow(x2 - x1, 2) + math.pow(y2 - y1, 2))
print("{:.4f}". format(distancia)) |
def part(arr):
ap = ["Partridge","PearTree","Chat","Dan","Toblerone","Lynn","AlphaPapa","Nomad"]
result = sum([arr.count(x) for x in ap])
if result == 0:
return "Lynn, I've pierced my foot on a spike!!"
else:
return "Mine's a Pint{}".format('!' * result)
'''
To celebrate today's launc... |
#!/usr/bin/env python
# # Sample Usage:
# # ./m2o-analysis.py enw.words.gz enw.pos.gz
# # > perp>1.75
# # dance 1.75 12
# # Crowd 1.75 8
# # meltdown 1.75 4
# # Personnel 1.75 4
# # ...
# # >
# #
from collections import defaultdict as dd
import gzip
from itertools import izip
import math
import re
import sys
def read... |
from settings import settings
from tests import random_seed
from tests.graph_case import GraphTestCase
from office365.directory.user import User
from office365.directory.userProfile import UserProfile
class TestGraphUser(GraphTestCase):
"""Tests for Azure Active Directory (Azure AD) users"""
test_user = Non... |
""":mod:`bikeseoul.web.user` --- User pages
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
from flask import Blueprint, render_template, request
from ..station import Station
from .db import session
bp = Blueprint('user', __name__)
@bp.route('/')
def home():
"""Home."""
stations = session.query(Station).... |
import cv2
from PIL import Image
from io import BytesIO
import numpy as np
from multiprocessing import Process, Array, Value
from time import sleep as bsleep
from time import time
from asyncio import sleep, get_event_loop
from loguru import logger
TARGET_FPS = 15
TARGET_FRAMETIME = 1 / TARGET_FPS
MAX_W, MAX_H = MAX_RE... |
#! /usr/bin/python
# -*- coding: utf-8 -*-
class DBMetadata:
def __init__(self, connection, executor):
self.connection=connection
self.executor=executor
class Datos:
def __init__(self,name,lastname,phone,email):
self.name=name
self.lastname=lastname
self.phone=phone
self.email=email
|
#!/usr/bin/python
import os.path
import datetime
import ipaddress
import subprocess
import csv
import ipwhois
import re
from ipwhois import IPWhois
from pprint import pprint
from IPy import IP
# Pre-condition: Ran ZMAP to scan internet:
# zmap -p 80 -o results.csv -b blacklist.txt -t 7200
# --output-filter="success =... |
n = int(input())
print(n // 2, '\n', '2 ' * (n // 2 - 1), 2 + n % 2, sep='')
|
# you'll notice that after we generate a list of media files from the conversion of Wiki pages to static pages, there are tons of duplicates.
# we'd like to regenerate the list so that no duplicates are included
# script should only take about 0.1 seconds to complete
infilename = 'lists/listInfoBoxImgs.txt'
outfilenam... |
import os
from filelock import FileLock
def check_if_exists(path):
if not os.path.exists(path): os.makedirs(path)
return path
here = os.path.dirname(__file__)
data_dir = check_if_exists(os.path.join(here, '../../data'))
locks_dir = check_if_exists(os.path.join(here, '../../locks'))
trajectories_dir = os.pat... |
"""
Train a supervised classifier based on an IQR session state dump.
Descriptors used in IQR, and thus referenced via their UUIDs in the IQR session
state dump, must exist external to the IQR web-app (uses a non-memory backend).
This is needed so that this script might access them for classifier training.
Getting an... |
#Quiz Two Part Two
#I pledge my honor that I have abided by the Stevens honor system -Maya O
def main():
print("Hello!")
print("Please enter 1 if you would like to access the mathematical funtions")
print("Please enter 2 if you would like to access the string operations")
m = int(input("Choice: "))
... |
'''
Created on Jan 24, 2016
@author: Andrei Padnevici
@note: This is an exercise: 12.2
'''
import re
import urllib.parse
import urllib.request
import validators
addressStr = str(input("Enter address: "))
if addressStr is "" or addressStr is None:
addressStr = "http://www.py4inf.com/code/romeo.txt"
addressStr = a... |
import random
from model.vehicle_handling.vehicle import Enemy
from model.vehicle_handling.collision_and_boundaries import check_all_collision
import global_variables as gv
spawn_rate = 40 # higher is a lower spawn_rate
spawn_max = 20
def spawn_chance(vehicles, movement_pattern="random", x=None, y=None, w=gv.ENEMY_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 24 08:08:28 2019
@author: imad
"""
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import Perceptron
from sklearn.metrics import accuracy_s... |
"""
Canned response for fastly
"""
from __future__ import absolute_import, division, unicode_literals
import random
import string
import uuid
class FastlyResponse(object):
"""
Canned response for fastly.
See docs here https://docs.fastly.com/api/config
"""
fastly_cache = {}
def get_current... |
from django.urls import path
from .import views
urlpatterns = [
path('', views.index, name='home'),
path('posts/<str:category_name>/', views.post_list, name='post_list'),
]
|
"""Created by nasim zolaktaf, 2019
This file plots the MSE vs iteration, (such as fig 4 and fig 5 of the paper).
To run this file, first run map.py to do parameter estimation once with FPEI, once with SSAI and to generate neccessary files.
Then in this file set dc1 and dc2 to correct flies.
Run 'plot_ssavsFPE... |
from django.shortcuts import render, get_object_or_404, redirect
from .models import Person
from . import models
from django.views.generic import View,TemplateView,ListView,DetailView,CreateView,UpdateView,DeleteView
# from .forms import PersonForm
from . import forms
def homepage(request):
return render(request,... |
#
# Copyright © 2021 Uncharted Software Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
from __future__ import absolute_import
import math
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn import init
from torch.autograd import Variable
import torchvision
# from torch_deform_conv.layers import ConvOffset2D
from reid.utils.serialization import load_checkpoint, save_check... |
from sklearn.metrics import roc_curve, auc
import json
import numpy as np
import pandas as pd
from sklearn.preprocessing import MultiLabelBinarizer
import os
import pdb
import matplotlib.pyplot as plt
outputs = pd.read_csv('validation_outputs.csv')
mean_out = np.mean(outputs.values)
print(mean_out)
print(max(outputs.... |
from django.contrib.auth.models import User, Group
from rest_framework import viewsets
from .models import Record, List
from .serializers import UserSerializer, GroupSerializer, RecordSerializer, ListSerializer
class UserViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edite... |
"""
Http API for the mypaas daemon.
"""
import os
import io
import time
import queue
import shutil
import logging
import datetime
import asyncio
import zipfile
from mypaas.server import get_deploy_generator, get_public_key
logger = logging.getLogger("mypaasd")
# Fix encoding
os.environ.setdefault("LC_ALL", "C.UTF-... |
class BoundingBox:
def __init__(self):
pass
def createFromPoints(self):
pass
|
from django.db import models
# Create your models here.
class Person(models.Model):
name = models.CharField(max_length=64)
surname =models.CharField(max_length=64)
description = models.TextField()
class Adress(models.Model):
city = models.CharField(max_length=64)
street = models.CharField(max_le... |
# -*- coding: utf-8 -*-
class Solution:
def defangIPaddr(self, address):
return address.replace(".", "[.]")
if __name__ == "__main__":
solution = Solution()
assert "1[.]1[.]1[.]1" == solution.defangIPaddr("1.1.1.1")
assert "255[.]100[.]50[.]0" == solution.defangIPaddr("255.100.50.0")
|
import json
from sqlalchemy import create_engine, pool
from sqlalchemy.ext.declarative import DeclarativeMeta
from sqlalchemy.orm import sessionmaker
from chalicelib.config.settings import (ENV, PROD, DATABASE)
class ConferenceDatabaseConnection:
ENGINE = None
@staticmethod
def engine(default_database=... |
import functools
from flask import (
Blueprint, redirect, render_template, request, session, url_for, flash, g
)
from werkzeug.security import check_password_hash, generate_password_hash
from ISRS.model import db, User
from ISRS.color import colors
bp = Blueprint('auth', __name__, url_prefix='/auth')
@bp.route('/... |
import random
magic_number = random.randrange(1,10,1)
cont = 0
play = input("Wanna guess the number? (yes/no) ")
if (play == 'no'):
print("The times you try where: " + str(cont))
else:
while (play != 'exit'):
guess = int(input("Give me a number:"))
if (guess > magic_number):
cont += 1
print ("Your number... |
from __future__ import division, print_function
import numpy as np
import tensorflow as tf
from vgg19.vgg import Vgg19
from PIL import Image
import time
from closed_form_matting import getLaplacian
import math
from functools import partial
import copy
import os
# try:
# xrange # Python 2
# except NameErr... |
import pandas as pd
import numpy as np
def build_q_table(n_states, actions):
# q_table 全 0 初始
# columns 对应的是行为名称
table = pd.DataFrame(np.zeros((n_states, len(actions))), columns=actions, )
return table
acs = ['l', 'r']
q = build_q_table(10,acs)
q.iloc[3, 0] = 0.1
q.iloc[3, 1] = 0.9
d1 = q.iloc[3,:]... |
array = [1, 1, 1, 1, 1]
for i in range(len(array)):
if i%2 != 0:
array[i] = 0
print(array) |
# encoding: utf-8
from src.config import AnnoyConfig
from src.utils import singleton
import logging.config
import logging
from annoy import AnnoyIndex
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '../'))
logging.config.fileConfig(fname='log.config', disable_existing_loggers=False)
#... |
from random import shuffle
aluno1 = str(input('Digite o nome do Aluno 1:'))
aluno2 = str(input('Digite o nome do Aluno 2:'))
aluno3 = str(input('Digite o nome do Aluno 3:'))
aluno4 = str(input('Digite o nome do Aluno 4:'))
lista = [aluno1, aluno2, aluno3, aluno4]
shuffle(lista)
print('A ordem de Apresentação será:')
pr... |
# -*- coding: utf-8 -*-
from .utils import SlotDefinedClass, merge_dicts
from .defaults import BASE_INDENT_SIZE
class Type(SlotDefinedClass):
__slots__ = ("name", )
__types__ = {"name": str}
def __str__(self):
return self.name
def __eq__(self, other):
return isinstance(other, Type) ... |
import numpy as np
print("Input n:")
n = int(input())
a = np.array([[i+j for i in range(n)] for j in range(n)]).reshape(n, n)
print(a)
|
import copy
import math
# This class is used to store a move.
class Move:
def __init__(self, the_place_board: int, the_position: int, the_twist_board: int, the_direction: str):
self.place_board = the_place_board
self.position = the_position
self.twist_board = the_twist_board
self.d... |
import logging
import random
from fastapi import APIRouter
import pandas as pd
from pydantic import BaseModel, Field, validator
log = logging.getLogger(__name__)
router = APIRouter()
@router.post('/healthCheck')
async def healthCheck():
"""
Returns 200 for a healthcheck for AWS
"""
return {'ok'} |
#!/usr/bin/python3
def best_score(a_dictionary):
maximo = 0
llave = ""
if a_dictionary is None or len(a_dictionary) == 0:
return None
else:
for clave, valor in a_dictionary.items():
if valor > maximo:
llave = clave
maximo = valor
return... |
#!/usr/bin/python3
""" module containts unittests for our console """
import unittest
import json
from .models.base_model import BaseModel
from .models.engine.file_storage import FileStorage
class testconsole(unittest.TestCase):
""" unittests for console """
def test_created_console(self):
""" Dat... |
import os
import pickle
from copy import deepcopy
from util import *
class Client(object):
def __init__(self, torrent, args):
self.save_path = os.path.join(args.save_path, os.path.basename(os.path.splitext(args.torrent_path)[0])).encode()
if not os.path.exists(self.save_path):
os.make... |
from django.shortcuts import get_object_or_404, render
from django.urls import reverse_lazy
from django.views.generic import ListView, CreateView, UpdateView, DeleteView
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.db.models import Q
from .form import GiftForm
from .filters impo... |
import time
x1=int(input("Please enter the x-xordinate of point 1 :"))
y1=int(input("Please enter the y-xordinate of point 1 :"))
x2=int(input("Please enter the x-xordinate of point 2 :"))
y2=int(input("Please enter the y-xordinate of point 2 :"))
print("Calculating mid-points ...")
point_x=(x2+x1)/2
point_y=(y2+y1)/... |
import matplotlib as mpl
import pandas as pd
# https://www.tensorflow.org/tutorials/structured_data/time_series
mpl.rcParams['figure.figsize'] = (8, 6)
mpl.rcParams['axes.grid'] = False
df = pd.read_csv("jena_climate_2009_2016.csv")
print(df)
# TS 10 min )> 1 hour
df = df[5::6]
# Replace -9999 => 0
wv = df['wv (m/... |
"""
Train and generate models for the SMQTK IQR Application.
"""
import argparse
import glob
import json
import logging
import os.path as osp
import six
from smqtk import algorithms
from smqtk import representation
from smqtk.utils import bin_utils, jsmin, plugin
__author__ = 'paul.tunison@kitware.com'
def cli_pa... |
#!/usr/bin/env python3
from time import sleep, monotonic, process_time, time
from ctypes import CDLL
from sys import stdout, stderr, argv, exit
def mlockall():
"""
"""
MCL_CURRENT = 1
MCL_FUTURE = 2
MCL_ONFAULT = 4
libc = CDLL('libc.so.6', use_errno=True)
libc.mlockall(MCL_CURRENT | MCL_F... |
import unittest
import numpy as np
from core.game import Game
from core.player import Player
from core.turn import Turn
class GameTest(unittest.TestCase):
def test_game_state_is_empty_for_new_game(self):
game = self.create_game()
empty_matrix = np.matrix('0 0 0; 0 0 0; 0 0 0')
assert (gam... |
"""
author songjie
"""
from flask import render_template
from app.api import api
from app.libs.email import send_test
from app.libs.reply import Reply
from tool.lib.function import curl_data, debug
@api.route('/test')
def test():
data = {"title": "测试页"}
return render_template("test/test.html", data=data)
@... |
#!/usr/bin/env python3
import inspect
global debugging
debugging = False
#debugging = True
def err(msg):
print("Error: {0}(): {1}".format(inspect.stack()[1][3], msg))
def show(*s):
"""Print but only when debugging"""
if debugging:
print(*s)
def test_func(function, outputs, *inputs):
"""Test... |
import numpy as np
import pandas as pd
import pylab as pl
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsClassifier
%matplotlib inline
df = pd.read_csv("https://s3.amazonaws.com/demo-datasets/wine.csv")
df.head()
test_idx = np.random.uniform(0, 1, len(df)) <= 0.8
train = df[test_idx==True]
te... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Imports
import torch
import random
from IPython.display import clear_output
from glob import glob
import pandas as pd
cuda = torch.cuda.is_available()
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import sys
import os
import... |
s, sub, x = input(), input(), 0
for i in range(len(s)):
if s[i:i+len(sub)] == sub:
x += 1
print(x) |
from sqlite3 import connect
db_name = ":memory:" |
from datetime import datetime
from datetime import timedelta
from django.shortcuts import render, redirect
from django.core.paginator import Paginator
from django.db.models import Count
from django.core.mail import send_mail
from django.contrib import messages
from django.urls import reverse
from django.http import Ht... |
# Copyright 2017 The Forseti Security Authors. 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 required by ap... |
# -*- coding: utf-8 -*-
from flask import Blueprint, render_template, request
star = Blueprint('star', __name__)
@star.route('/<name>/<reponame>/star', methods = ['POST'])
def index():
return render_template('')
|
import tarfile
import os
import sys
import pickle
#import tensorflow as tf
from datetime import datetime
from multiprocessing import Pool
import getopt
from itertools import repeat
nr_of_cpus = 16
def get_all_tar_filenames(tar_file_dir):
tar_files = list()
### check if dir exists
if not os.path.isdir... |
# -*- coding: utf-8 -*-
import webapp2
import cgi
import logging
import datetime
from webapp2_extras import json
from google.appengine.api import users
from config import jinja_enviroment
from models import *
class MainHandler(webapp2.RequestHandler):
def __init__(self, request, response):
self.initiali... |
# Simple CNN model for CIFAR-10
import numpy as np
from keras.datasets import cifar10
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.constraints import maxnorm
from keras.wrappers.scikit_learn import KerasClassifier
from ke... |
#Este está bien
print('while loop')
fruit = 'banana'
index=0
while index < len(fruit):
print(index,fruit[index])
index=index+1
#pero siempre un for funciona mejor
print('for loop')
for letter in fruit:
print(letter)
#slicing avanza hasta tonde le digamos pero no incluye
complete = 'Richard'
slice1=complet... |
from itertools import permutations
from time import time
from GenerateDict import GenerateDict
# Function: CombineLetters
# Dependency: itertools.permutations
# Input: a list such as ['a', 'b', 'c']
# Output: a set such as {'ab', 'bac', 'b', 'c', 'acb', 'ca', 'bc', 'cb', 'cba', 'ba', 'bca', 'ac', 'cab', 'abc', 'a'}
# ... |
import io
import random
import aiounittest
import itchat
from collections import namedtuple
from forklift.config import STICKERS_FOR_SPAM, ANIMATED_QUERY_TYPE
from forklift.util import get_file, match_query_from_text, is_spam_msg
class TestUtil(aiounittest.AsyncTestCase):
async def test_get_file(self):
fi... |
t = int(input())
area = []
for i in range(t):
n,b = input().split()
n,b = int(n),int(b)
area.append(0)
for j in range(n):
l,h,p = input().split()
l,h,p = int(l),int(h),int(p)
if(p<=b) and (l*h>=area[0]):
area[i]=(l*h)
for i in range(t):
if(area[i]==0):... |
import sys
import re
n=input()
if(re.match('[0-9]{2}[A-Za-z]{3}[0-9]{4}',n)):
print("valid")
else:
print("invalid")
|
import pandas as pd
import copy
import random
def combine_interval_points(fun_result, data, just_first_one=False):
if len(fun_result) == 0:
return fun_result
# combine
need_combine = []
inter = []
len_fun_result = len(fun_result)
for index, i in enumerate(fun_result[:-1]):
if f... |
from pyxnat import Interface
def get_XNAT(username, password, xnat_cache, xnatUrl='https://xnat.hdni.org/xnat'):
xnat = Interface(server=xnatUrl, user=username, password=password,
cachedir=xnat_cache)
return xnat
|
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
class TestApp(App):
def build(self):
return Button(text='Hello World')
def on_enter(instance, value):
print("User pressed enter in", instance)
textinput = TextInput()
textinput.bind(te... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 28 17:02:27 2021
@author: kaydee
"""
import flask
from flask import Flask, redirect, url_for, request, render_template, send_file
from werkzeug.utils import secure_filename
from werkzeug.datastructures import FileStorage
import os
from Alignment imp... |
from pupil_parse.preprocess_utils import config as cf
from pupil_parse.preprocess_utils import extract_session_metadata as md
from pupil_parse.preprocess_utils import edf2pd as ep
from pupil_parse.preprocess_utils import visualize as vz
from pupil_parse.analysis_utils import summarize_amplitude as amp
import time
i... |
#### Takes bilstm model and evaluates it on an eval file
##
## Usage: ./evaluate_taggingmodel.py PATH_TO_MODEL PATH_TO_EVAL_FILE
from simplebilty import SimpleBiltyTagger
from simplebilty import load_tagger, save_tagger
from lib.mio import read_conll_file
from vocab import Vocab
import os
from collections import nam... |
from storm.locals import *
class Node(Storm):
__storm_table__ = "node"
id = Int(primary=True)
identifier = Unicode()
properties = ReferenceSet(id, "NodeProperty.node_id")
inbound = ReferenceSet(id, "Edge.target_id")
outbound = ReferenceSet(id, "Edge.source_id")
def __repr__(self):
... |
#!/usr/bin/python
import smbus
import time
import math
bus = smbus.SMBus(1)
address = 0x1e
mpu6050address = 0x68
def read_byte(adr):
return bus.read_byte_data(address, adr)
def read_word(adr):
high = bus.read_byte_data(address, adr)
low = bus.read_byte_data(address, adr+1)
val = (hi... |
# BABY QUAKEBOT!
#
# https://source.opennews.org/en-US/articles/how-break-news-while-you-sleep/
#
#
# This is a python file, so you're going to run them from the
# command line by going to the folder it's in and running this terminal
# command...
#
# python eq_homework.py
#
# Then a little magic will happen! Unfortu... |
num =1
num2 = 233
num3 = 433
lulala
num4 = 2344455
num5 = 234567
|
def soma(L):
total = 0
for e in L:
total += e
return total
L=[1,7,2,9,15]
print(soma(L))
print(soma([7,9,12,3,100,20,4])) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# weather_for_conky.py
# same as weather.py, but small fix for static location and print to use with conky
#
# Copyright 2013 Raymond Aarseth <raymond@lappy>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU ... |
"""
Brazil Data Cube Configuration
You can define these configurations and call using environment variable
`ENVIRONMENT`. For example: `export ENVIRONMENT=ProductionConfig`
"""
# pylint: disable=too-few-public-methods
import os
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
def get_settings(env):
"""Re... |
import daft
import jax
import jax.numpy as np
import mcx
import mcx.distributions as dist
from matplotlib import rc
from IPython.display import display, Math
from infer.model import Model
class NaiveBayes(Model):
"""Naive Bayes classifier.
We note :math:`x_{jc}` the value of the j-th element of the data vec... |
import unittest
from katas.kyu_7.discover_the_original_price import discover_original_price
class DiscoverOriginalPriceTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(discover_original_price(75, 25), 100)
def test_equal_2(self):
self.assertEqual(discover_original_price(... |
from collections import namedtuple
n = int(input())
student = namedtuple('student', input())
print('{:05.2f}'.format(sum(map(lambda x: int(x.MARKS), [
student(*input().split()) for i in range(n)])) / n))
|
import xml.etree.ElementTree as ET
from django.core import serializers
from django.shortcuts import render,redirect
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpResponse
from .models import Aparcamiento, AparcaSeleccionado, Comentario, Css
from django.contrib.auth import logout, logi... |
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