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# --------------------------- Word embeddings ---------------------------
from utils.flags import FLAGS
PRETRAINED_MODE = 'pretrained'
FINETUNED_MODE = 'finetuned'
TRAINED_MODE = 'trained'
GLOVE = 'glove'
GLOVE_URL = 'http://nlp.stanford.edu/data/'
WORD2VEC = 'word2vec'
FASTTEXT = 'fasttext'
FASTTEXT_CRAWL_URL = '... |
class BaseModel:
"""
Интерфейс модели
"""
def process(self, batch: list):
"""
Обработать группу запросов
:param batch: группа запросов для обработки
:return: результат применения модели
"""
raise NotImplementedError()
|
import scipy.io.wavfile as wav
import os
from os.path import basename
class Files:
@staticmethod
def read_all_files(files_dir):
files = os.listdir(files_dir)
audio_files_data = []
file_names = []
for file in files:
fs, audio_data = wav.read(files_dir + '/' + fil... |
"""
Matrix Spiral Copy
Given a 2D array (matrix) inputMatrix of integers, create a function spiralCopy that copies inputMatrix’s values into a
1D array in a spiral order, clockwise. Your function then should return that array. Analyze the time and space complexities of your solution.
Example:
input: inputMatrix = [ ... |
#
# Copyright 2019 Ramble Lab
#
from flask import current_app
from google.cloud import firestore, exceptions
from datetime import datetime, timezone, timedelta
from tzlocal import get_localzone
db = firestore.Client()
class Mutex(object):
def __init__(self, resource=None, team_id=None, locked=False, owner=None,... |
from __future__ import print_function, division, absolute_import
import tensorflow as tf
import numpy as np
import zhusuan as zs
from zhusuan import reuse
import utils.data as data_
import utils.model as model
from utils.ptb import reader
from utils import parameters
from utils.beam_search import beam_search
from te... |
import csv
import re
if __name__ == '__exchange_fixer__':
exchange_in = []
with open('data/exchange_in.csv', mode='rt', newline='\r\n', encoding='utf-8') as exchange_in_file:
for line in exchange_in_file:
line = line.rstrip('\'\r\n')
parts = line.split('؛')
for i in ... |
"""
Copyright (c) 2014 High-Performance Computing and GIS (HPCGIS) Laboratory. All rights reserved.
Use of this source code is governed by a BSD-style license that can be found in the LICENSE file.
Authors and contributors: Eric Shook (eshook@kent.edu); Zhengliang Feng (odayfans@gmail.com, zfeng2@kent.edu)
"""
from .Bo... |
#!/usr/bin/env python3
def detect_ranges(L):
# sorting the list
sorted_list = sorted(L)
seq_start = 0
seq_end = 0
result_list = []
# iterating from 2nd to last element
for i in range(1, len(sorted_list)):
if sorted_list[i] - 1 == sorted_list[i-1]:
seq_end = i
... |
#for loop
for i in range(1,10):
for j in range(1,10):
s= i*j
print ('%d * %d = %d ' %(i, j , s), end="")
print('\n')
# while loop
i=1;
while i < 10:
j=1
while j < 10:
s= i*j
print ('%d * %d = %d ' %(i, j , s))
j += 1
i += 1
print... |
"""Reusable validators."""
from typing import Callable
from confusable_homoglyphs import confusables
from teached import settings
CONFUSABLE = "This name cannot be registered.Please choose a different name."
CONFUSABLE_EMAIL = (
"This email address cannot be registered. "
"Please supply a different email ad... |
from pico2d import *
import game_framework
from Scene import rank_scene
from Object import CPlane
from Object import CPlayer
from Object import CAsteroid
from Object import CBullet
from Object import CParticle
import random
particle_list = []
player_list = []
bullet_list = []
asteroid_list = []
plane_list = []
score =... |
group_1 =int(input('Введите количество учеников в первой группе: '))
group_2 =int(input('Введите количество учеников во второй группе: '))
group_3 =int(input('Введите количество учеников в третьей группе: '))
result = group_1//2 + group_2//2 + group_3//2
if group_1/2 == 0 and group_2/2 == 0 and group_3/2 == 0:
prin... |
#!/usr/bin/env python
# coding: utf-8
# In[105]:
import pandas as pd
from sklearn.model_selection import train_test_split
import numpy as np
from sklearn.feature_selection import SelectFromModel
from sklearn.ensemble import RandomForestClassifier
import eli5
from eli5.sklearn import PermutationImportance
import matp... |
import numpy as np
import scipy
import matplotlib.pyplot as plt
################################################
from scipy.signal import argrelextrema
#################################################
# input:
# ts, time series of a tidal wave
# outpout:
# MTL,MHHW,MHW,MLW,MLLW, tidal water levels (see their defin... |
import numpy as np
from cvxopt import solvers, matrix, spmatrix
from scipy import sparse
from scipy.linalg import norm
from numpy.linalg import LinAlgError
import warnings
from least_squares import lstsq_solve
def is_pos_def(A):
if np.array_equal(A, A.T): # Test the symmetry of the matrix.
try:
... |
'''
Created on May 25, 2018
@author: nishant.sethi
'''
import math
def bi_dist(x, n, p):
b = (math.factorial(n)/(math.factorial(x)*math.factorial(n-x)))*(p**x)*((1-p)**(n-x))
return(b)
b, p, n = 0, 0.12, 10
for i in range(0,3):
b += bi_dist(i, n, p)
print("%.3f" %b)
b=0
for i in range(2,... |
import logging
from django.conf import settings
from django.db import models
from ...utilities.base_model import BaseModel
from .encounter import Encounter
# Get an instance of a logger
logger = logging.getLogger(__name__)
class Note(BaseModel):
class Meta:
# https://docs.djangoproject.com/en/1.10/ref/models... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Send simulated sensor data via UDP, bypassing udp-serial bridge.
"""
import math
import sys
import time
import send_udp
SERIAL_START_CHAR = b's'
SERIAL_END_CHAR = b'e'
TRANSMISSION_FREQ = 50 # Hz
UDP_PORT = 9900
WHEEL_RADIUS = 0.3 # m
if __name__ == "__main__":
... |
from replit import clear
# HINT: You can call clear to
from art import logo
print(logo)
next = True
bid_dict={}
def find_highest_bidder(bidding_record):
highest_bid = 0
winner = ""
for bidder in bidding_record:
bid_amount = bidding_record[bidder]
if bid_amount > highest_bid:
h... |
# 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 law or agreed to in writing, software
# d... |
import tensorflow as tf
from tensorflow.contrib import rnn
import numpy as np
class SeriesPredictor:
def __init__(self, input_dim, seq_size, hidden_dim=10):
## Inspired from Machine Learning with TensorFlow by Nishant Shukla
self.input_dim = input_dim
self.seq_size = seq_size
self.h... |
import argparse
import json
import os
from datetime import datetime
import shutil
import time
from itertools import chain
from pathlib import Path
import melloddy_tuner as tuner
import numpy as np
import pandas as pd
from scipy.io import mmwrite
from scipy.sparse import csr_matrix
def init_arg_parser():
parser... |
from threading import Thread
import configparser
import datetime
import re
import subprocess
import time
import pyperclip as clp # install using "pip install pyperclip"
import logging
LIVESTREAMER = "livestreamer"
YOUTUBE = "youtube"
MPV = "mpv"
TWITCH = "twitch"
MAIN = "main"
MESSAGES = "messages"
LOGT... |
import numpy as np
import random
import torch
import nltk
from gensim.scripts.glove2word2vec import glove2word2vec
from gensim.models import KeyedVectors
class RealDataLoader():
def __init__(self, batch_size, seq_length):
self.batch_size = batch_size
self.seq_length = seq_length
# self.word... |
import importlib
#LOGGING
from loguru import logger
from aiogram import Dispatcher, types
class MetaHandler(object):
@staticmethod
def register_all(dp = None):
if dp is None:
dp = Dispatcher.get_current()
handlers_module = importlib.import_module('.handlers_bot', package='bot.handl... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^new', views.new),
url(r'^create', views.create),
url(r'^show', views.show),
url(r'^(?P<number>[0-9]{4})', views.show),
url(r'^edit/(?P<year>[0-9]{4})', views.edit),
url(r'^delete... |
"""
This module is responsible for creating the DB.
"""
from flask_sqlalchemy import SQLAlchemy
#: The database engine is set here
db = SQLAlchemy() |
def get_summ(num_one, num_two):
try:
one, two = int(num_one), int(num_two)
return one + two
except ValueError:
return "Не могу сложить!"
if __name__ == "__main__":
print(get_summ(2, 2))
print(get_summ(3, "3"))
print(get_summ("4", "4"))
print(get_summ("five", 5))
pr... |
# -*- coding: utf-8 -*-
from .CatsOfUlthar import CatsOfUlthar
from .ElderSign import ElderSign
from .GreatRaceOfYith import GreatRaceOfYith
from .Investigators import Investigators
from .ProfessorHenryArmitage import ProfessorHenryArmitage
from .RandolphCarter import RandolphCarter
from .TheNecronomicon import TheNec... |
n=int(input())
l=int(input())
a=[]
flag=0
for x in range(n):
k=int(input())
a.append(k)
for x in range(n-1):
ans=0
#print (x,"x =");
for y in range(x+1,n):
ans=a[x]+a[y]
#print (y,"y =",ans);
if ans==l:
flag=1
break
if flag==1:
print("Yes")
else:
print("NO")
|
#download images from web
import urllib.request
def dl_jpg(url, file_path, file_name = "Untitled"):
#create full path
full_path = file_path + file_name + '.jpg'
#retrives and saves image using provided url
urllib.request.urlretrieve(url, full_path)
#ask user for image to save
url = input("Enter image... |
"""
all rules/logic specific to the single cell ATAC workflow should be here.
"""
rule create_SNAP_object:
"""
Create a snapobject for each BAM file.
These snapobjects can be merged later using snaptools in R.
"""
input:
bam=expand("{final_bam_dir}/{{assembly}}-{{sample}}.sambamba-queryn... |
import string
newString = input("Enter input: ").lower() #newString takes the input and converts everything to lower
new = list(set(newString.split())) #Split the new strings into a collection of words to put in a set.
#This needs to be converted back into a list since sort() method is for lists only
new.sort()
pr... |
import random
def randomizeArray(arr):
max=len(arr)-1
for i in range(max-1):
j=random.randint(i,max)
a=arr[i]
arr[i]=arr[j]
arr[j]=a
a=["Talgat", "Hamza", "Behic", "adsasd", "masa", "ps"]
randomizeArray(a)
print (a)
|
import random
pc = random.randint(1,100)
for i in range(10):
player = int(input('请输入数字:'))
if player > pc:
print('太大了')
elif player < pc:
print('太小了')
else:
print('答对了')
break
|
#!/usr/bin/python3.7
# @Time : 2020/5/27 0027 15:44
# -*- coding: utf-8 -*-
# @Time : 2020-05-27 15:38:50
from base.decorators import api_retry
from base.exceptions import DefinedBusinessException, UndefinedBusinessException
from base.helper import JsonHelper
from bns.b2b.po.po_bns import BnsApi
from testdata import g... |
#import the required modules
import RPi.GPIO as GPIO
import time
# set the pins numbering mode
GPIO.setmode(GPIO.BOARD)
# Select the GPIO pins used for the encoder K0-K3 data inputs
GPIO.setup(11, GPIO.OUT)
GPIO.setup(15, GPIO.OUT)
GPIO.setup(16, GPIO.OUT)
GPIO.setup(13, GPIO.OUT)
# Select the signal used to select ... |
1. Assert: Either Type(_V_) is Object or Type(_V_) is Null.
1. Let _current_ be ? _O_.[[GetPrototypeOf]]().
1. If SameValue(_V_, _current_) is *true*, return *true*.
1. Return *false*. |
from urllib3.exceptions import ProtocolError, ReadTimeoutError
import tweepy
import dataset
import json
from tweepy import StreamListener
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from textblob import TextBlob
from models import *
import pandas as pd
import numpy as np
from config import *
im... |
# 숫자의 개수
from sys import stdin
A= int(stdin.readline())
B= int(stdin.readline())
C= int(stdin.readline())
num=A*B*C
a = list(map(int, str(num)))
for i in range(10):
print(a.count(i))
|
#!/usr/bin/env python
# ---------------------------
# Name : Ryan J. Prater
# EID : rp22566
# CSID : rprater
# CS373 - Downing - Project #1
# ---------------------------
"""
To test the program:
% python TestCollatz.py >& TestCollatz.py.out
% chmod ugo+x TestCollatz.py
% TestCollatz.py >& TestCollatz.... |
import ast
from cosmic_ray.util import build_mutations
OPERATORS = (ast.Add, ast.Sub, ast.Mult, ast.Div, ast.FloorDiv, ast.Mod,
ast.Pow, ast.LShift, ast.RShift, ast.BitOr, ast.BitXor,
ast.BitAnd)
def to_ops(f):
return OPERATORS + (None,)
def test_build_mutations_avoids_self_mutation... |
#!/usr/bin/env python3
# from object_detection.py`
import argparse
from PIL import Image, ImageDraw
from aiy.vision.inference import ImageInference
from aiy.vision.models import object_detection
from picamera import PiCamera
import time
import boto3
# connect to AWS S3
s3 = boto3.resource('s3',
aws_access_key_i... |
from datetime import timedelta
from progress.bar import IncrementalBar
# Progress has issues on Windows
# https://github.com/verigak/progress/issues/58#issuecomment-471718558
def get_patched_progress():
# Import a clean version of the entire package.
import progress
# Import the wraps decorator for copyin... |
# -*- coding: utf-8 -*-
"""
假设未来的净资产收益率以及杠杆率不变，计算股票以当前价格买入后多久可收回成本
@author: robert
"""
import math
import data
def p2f(x):
return float(x.strip('%'))/100
ticker_arr = ["AAPL", "FB", "DIS", "GOOG", "NVDA", "AMZN",
"MSFT", "IBM", "BABA", "TCEHY", "V", "NKE", "LULU","GOLD"]
title_arr = ["Trailing P/... |
import sys
def get_vas_for_fos(elf, fos):
vas = []
for fo, _ in fos:
foundVA = False
for section in elf.sections:
if section.file_offset < fo < \
section.file_offset + section.size:
offset = fo - section.file_offset
vas += [section.vi... |
import numpy as np
from one_step_kmeans_method import *
def get_val(x,y,z,t,r):
'''
A function to get the objective value.
:param x: The centroids. [n,m] array
:param y: The grids. [t,m] array
:param z: The samples. ... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Answers',
fields=[
('id', model... |
from mongoengine import Q
from mainapp.models_mongodb import messages
def get(fromUser, toUser):
return messages.objects().filter(fromUser__in=[fromUser, toUser], toUser__in=[fromUser, toUser]).order_by(
'created_at')
def create(fromUser, toUser, content, file, type):
mess = messages(fromUser=fromUser, toU... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-09-18 16:11
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('conference', '0010_auto_20170712_1241'),
]
operations = [
migrations.AddFie... |
from tkinter import*
from tkinter import messagebox
import requests
import time
from time import ctime
from bs4 import BeautifulSoup
import pandas as pd
from PIL import ImageTk, Image
root = Tk()
root.geometry("400x100")
root.title("Flipkart Price Tracker")
root.resizable(height=False, width=False)
r... |
# -*- coding: utf-8 -*-
"""
.. class:: Worm
This module contains the class that defines the worm as a whole
"""
import PyOpenWorm
import sqlite3
from rdflib import ConjunctiveGraph, Graph, URIRef, Namespace, Literal
from rdflib.namespace import RDFS
class Worm:
def __init__(self):
self.semant... |
# -*- coding: utf-8 -*-
# language:zh-CN
from time import sleep
from appium import webdriver
from common.common_method.appium.get_udid import get_android_udid
from common.common_method.appium.start_appium import start_android_appium
from common.page.Mobile.Android.Login.LoginPage import LoginPage
class OPPOMobile:
... |
from rest_framework.views import APIView
from rest_framework.response import Response
from django.contrib.auth.models import User
from .utils import sendOTPto
from django.core.cache import cache
from random import random
from io import BytesIO
from qrcode import make
from base64 import b64encode
from vehicle.models imp... |
from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.core.urlresolvers import reverse_lazy
from django.views.generic import RedirectView
from Verfahrensverzeichnis.admin import user_admin_site
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$',... |
from django.test import TestCase
from django.core.exceptions import ValidationError
from django.db.utils import IntegrityError
from django.core.files import File as DjangoFile
from . import models
from core import utils
class ModelTest(TestCase):
def test_can_add_and_retrieve_product(self):
p1 =... |
__title__ = 'svg file'
class Machine:
def __init__(self, parent, *args, **kwargs):
self.parent = parent
config_optional = []
config_required = ['filename']
def configure(self, *args, **kwargs):
if 'filename' in kwargs:
self.filename = kwargs['filename']
print "%s machine has filename %s" % (__titl... |
import requests
from geopy.geocoders import Nominatim
import json
import os
import sys
def reverse_geocode(coordinates):
api_key = os.environ.get('POSITIONSTACK_API')
lat, lng = [x.strip() for x in coordinates.split(',')[:2]]
query = f'http://api.positionstack.com/v1/reverse?access_key={api_key}&query={lat... |
from django.shortcuts import render
from django.contrib.auth.decorators import (login_required, user_passes_test)
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.db import IntegrityError
from django.urls import reverse
from django.contrib.auth imp... |
"""
1. 实现有向图、无向图、有权图、无权图的邻接矩阵和邻接表表示方法
2. 实现图的深度优先搜索、广度优先搜索实现
3. Dijkstra 算法实现
4. 拓扑排序
"""
#实现图的深度优先搜索、广度优先搜索实现
from cllections import deque
class Graph :
"""无向图"""
def __init__(self,num_vertices):
self._num_vertices = num_vertices
self._adjacency = [[] for _ in range(num_vertices)]
def add_edge(se... |
import rospy
from geometry_msgs.msg import PoseArray
import tf
from tf.transformations import euler_from_quaternion
import numpy as np
class RowEndpointDetection(object):
def __init__(self):
# Parse params.
lines_topic = rospy.get_param('~lines_topic', '/state_lines')
path_topic = rospy.get_param('... |
# Copyright 2022 Northern.tech AS
#
# 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 law or ag... |
# django
import os
from django.contrib.auth.models import User
from django.db.models import Q, Max, Min
from django.core.files.storage import FileSystemStorage
from django.contrib.auth.decorators import login_required
from django.contrib.auth import views as auth_views
from django.http import JsonResponse
from django... |
import socket
from threading import Thread
from .TCPpackage import TCPpackage
SERVER_PORT = 9998
class ServerCore():
def __init__(self):
self.port = SERVER_PORT
self.socket = self.create_socket()
def create_socket(self, backlog=5):
serversocket = socket.socket()
serversocket.b... |
import numpy as np
import utils
from flexprojects.parser import parse_flexible_project
def decorate_quality_attributes(p, q, chosen_customer):
qlevels = range(q['nqlevels'])
def revenue_for_period(l, t):
rperiods = q['customers']['revenue_periods']
revs = q['customers']['revenues'][chosen_cus... |
import collections
import sys
T = int(raw_input())
for i in range(T):
n = int(raw_input())
sideLengths = collections.deque(map(int, raw_input().split()))
lastLength = sys.maxint
answer = 'Yes'
while len(sideLengths) > 0:
if len(sideLengths) == 1:
item = sideLengths.pop()
... |
"""
Helper functions for the pretrained model to be used within our API.
Author: Explore Data Science Academy.
Note:
---------------------------------------------------------------------
Plase follow the instructions provided within the README.md file
located within this directory for guidanc... |
buildCount = 3
ninjaCount = 25
tunelCount = 2
banditCount = 40
print("calculating ....")
ninjaTotal = ninjaCount * buildCount
print(f"Total ninjas: {ninjaTotal}")
banditTotal = banditCount * tunelCount
print(f"Total bandits: {banditTotal}")
total = ninjaTotal + banditTotal
print(f"total: {total}")
|
import numpy as np
import pandas as pd
import random as rd
import scipy.sparse as sp
from time import time
from collections import defaultdict
class Data(object):
def __init__(self, path, max_len=10):
'''
'''
self.path = path
self.max_len = max_len
train_file = path
... |
"""A module that contains helper functions"""
import argparse
from pathlib import Path, PurePath
from typing import List
def remove_vars(df,
r_val: int,
num_samples: int,
cols: List[str]):
"""Removes variants that are homozygous variant or references in more that
... |
"""Externalized strings for better structure and easier localization"""
setup_greeting = """Dwarf - First run configuration
Insert your bot's token, or enter 'cancel' to cancel the setup:"""
not_a_token = "Invalid input. Restart Dwarf and repeat the configuration process."
choose_prefix = """Choose a prefix. A pref... |
import requests
apikey = <<NEED TO FIX WITH CONFIGPARSER>>
url = 'https://www.abuseipdb.com/check/'
ip = '154.121.5.240'
category = {
3: 'Fraud_Orders',
4: 'DDoS_Attack',
9: 'Open_Proxy',
10: 'Web_Spam',
11: 'Email_Spam',
14: 'Port_Scan',
18: 'Brute_Force',
... |
x = 0 # zero is the starting point
while x < 10: # while x remains less than 10
print(x) #print the numbers of X
x += 1 # adds 1 to the count, 0,1,2,3, etc. |
# Generated by Django 2.0.6 on 2018-06-22 07:46
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('post_office', '0006_attachment_mimetype'),
]
operations = [
migrations.CreateModel(
... |
import sys, json, time
from pymongo import MongoClient
mongo = MongoClient('198.199.113.194',27017)
reddit = mongo['bigdata']['reddit']
# Load query from file
try:
commenters = json.load(open('top50comments.json'))
subreddits = commenters.keys()
# Read from mongo
except IOError:
print 'Aggregating top 50...'
top... |
game = [
[0, 0 ,0],
[0, 0, 0],
[0, 0, 0]
]
def game_board(player=0, row=1, column=1):
print(" a, b, c")
if not just_display:
game[row][column] = player
for count,games in enumerate(game):
print(count, games)
game_board()
game_board(player=1, row=2, column=1)
# game[0][1] =... |
'''
try:
可能出现异常的代码
except:
如果有异常执行的代码
finally:
无论是否有异常都会执行的代码
'''
def add(a, b):
try:
return a / b
except:
print('除数不能为0')
finally:
print('你好啊')
c = add(1, 0)
print(c)
|
# This file will need to use the DataManager,FlightSearch, FlightData, NotificationManager classes to achieve the program requirements.
from pprint import pprint
from data_manager import DataManager
from flight_search import FlightSearch
sheety = DataManager()
# sheet_data = sheety.sheety_get_data()
sheet_data = [
... |
from flask_mail import Message
from flask import current_app
from app import mail
from threading import Thread
def send_async_email(app, msg):
with app.app_context():
mail.send(msg)
def send_email(subject , sender, recipients, text_body, html_body):
msg = Message(subject, sender = sender, recipients ... |
# Generated by Django 2.2.6 on 2019-10-12 13:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('frontend', '0003_viewablegiftcard_featured'),
]
operations = [
migrations.AddField(
model_name='viewablegiftcard',
n... |
import sublime
import sublime_plugin
import os.path
from ...core import (
JavaClass,
JavaClassPath,
JavaUtils,
RE,
SnippetsManager,
StateProperty
)
from ...utils import (
ActionHistory,
StatusManager
)
EXTENDS_IMPLEMENTS_RE = "([:<])"
MAIN_TEMPLATE = "public static void main(String[] a... |
# DO NOT AUTOVERSION
# version=1.0.0 # -- dscudiero -- Thu 10/05/2017 @ 11:47:41.64
#==================================================================================================
#==================================================================================================
import inspect, sys, traceback
impor... |
from picamera import PiCamera
import socket
import telegram
import time
import os
from encrypt import *
PUBLIC_KEY_FILENAME = os.environ['PUBLIC_KEY_FILENAME']
BOT_TOKEN = os.environ['BOT_TOKEN']
CHAT_ID = int(os.environ['CHAT_ID'])
CAPTURE_INTERVAL = int(os.environ['CAPTURE_INTERVAL'])
def internet(host="8.8.8.8", ... |
# Copyright 2022 Quantapix 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 applicable l... |
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as pypl
import numpy
import h5py
import scipy.constants
import popdrop
from python_tools import multiprocesstools as mpt
from scipy.misc import factorial
# Molar protein concentration
cs_molar = [5E-6, 75E-6, 100E-6, 200E-6] # [mol/l]
for c_molar in ... |
# Leetcode: 229. Majority Element II
class Solution(object):
def majorityElement(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
# required O(n) and O(1) space
candidate0, candidate1 = 0, 1
count0, count1 = 0, 0
for num in nums:
... |
import abc
import functools
__all__ = ['Invertible', 'InvertibleNetwork']
_FORWARD = "forward"
_BACKWARD = "backward"
class Invertible(abc.ABC):
@abc.abstractmethod
def forward(self, x):
return NotImplemented
@abc.abstractmethod
def backward(self, x):
return NotImplemented
clas... |
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
class ResidualNet_14(nn.Module):
def __init__(self):
super(ResidualNet, self).__init__()
# Conolutions Layers
self.conv1 = nn.Conv2d(in_channels = 3, out_channels = , kernel_size = 3)
self.conv2 = nn.Conv2d(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# indexhandlers.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Apr 2018
'''
These are Tornado handlers for the AJAX actions.
'''
####################
## SYSTEM IMPORTS ##
####################
import logging
import json
from datetime import datetime
import numpy as n... |
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.orm import backref
db = SQLAlchemy()
class User(db.Model):
__tablename__ = 'users'
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String)
name = db.Column(db.String)
password = db.Column(db.String)
fixtures = db.relatio... |
import logging
import os
import requests
GEOSERVER_BASE_URL = os.getenv('GEOSERVER_BASE_URL', 'http://localhost:8080/geoserver')
GEOSERVER_USERNAME = os.getenv('GEOSERVER_USERNAME', 'admin')
GEOSERVER_PASSWORD = os.getenv('GEOSERVER_PASSWORD', 'geoserver')
_log = logging.getLogger(__name__)
def create_workspace(... |
import os
import unittest
from src.utility import lineyielder
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
def parse_boarding_pass(boarding_pass):
row_spec = boarding_pass[:7]
column_spec = boarding_pass[7:]
rows = search(row_spec, range(0, 128), "F", "B")
columns = search(column_spec, ran... |
# Generated by Django 2.1.5 on 2019-02-11 13:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('foodrition_api', '0002_auto_20190206_1142'),
]
operations = [
migrations.CreateModel(
name='FoodImage',
fields=[
... |
rule all:
input:
".deps-installed",
"sclr-lowbase.pdf"
rule install_deps:
input:
"renv.lock"
output:
".deps-installed"
shell:
"""Rscript -e 'renv::restore();file.create(".deps-installed")'"""
rule sim:
input:
".deps-installed",
"sim/sim.R"
... |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Article(models.Model):
title=models.CharField(max_length=30)
content=models.TextField()
create_time=models.DateTimeField()
last_updated_time=models.DateTimeField(auto_now=True)
author=models.F... |
# references:
# algorithm: https://perso.uclouvain.be/vincent.blondel/research/louvain.html
# module: http://perso.crans.org/aynaud/communities/
# code: https://app.dominodatalab.com/LeJit/FacebookNetwork/browse?
# snap data: https://snap.stanford.edu/data/
import networkx
import mat... |
from itertools import islice
def fib():
prev, curr = 0, 1
while True:
yield curr
prev, curr = curr, curr+prev
f = fib()
result = list(islice(f, 0, 10))
print(result)
|
__author__ = 'lewis'
from utils import new_dict_if_none
_advertised_configs = {}
class PlatformConfig(object):
def __init__(self, caps=None):
self._caps = new_dict_if_none(caps)
@property
def caps(self):
return self._caps
class LocalChromeConfig(PlatformConfig):
def set_capabil... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
out_filename = "index.html"
page_title = "Comparisons"
comparisons = [
{
"item1" : "Φίλιππος Πλιάτσικας",
"img1" : "pliatsikas.jpg",
"item2" : "Μία Πέτρα",
"img2" : "stone.jpg",
"questions" : [
[ "Μπορεί να συνθέσει αξιόλογη μουσική", "n"... |
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