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import operator
from bert_serving.client import BertClient
import configparser
import json
import numpy as np
def create_2_freq():
config = configparser.ConfigParser()
config.read("paths.cfg")
with open(config["paths"]["triple_string_cpnet_json"], "r", encoding="utf8") as f:
triple_str_json = jso... |
#!/usr/bin/python
#qplot -x -3d -s 'set xlabel "x";set ylabel "y";set view equal xy' outcmaes_obj.dat w l outcmaes_res.dat ps 3 data/res000{0,1,2,3,5,6}.dat -showerr
#TEST to use stored solutions and scores data
import cma
import numpy as np
def fobj1(x,f_none=None):
assert len(x)==2
#if (x[0]-0.5)**2+(x[1]+0.5)**... |
import z3
from functools import *
MODE_ACC = False # enum input for higher acc
def portType(group, func):
if group == 'Y' or group == 'CO' or (group == 'S' and (func == 'ADDF' or func == 'ADDH')):
return 'output'
return 'input'
class Logic:
"""
rules:
class1:
... |
#!/usr/bin/python
# -*- coding:utf-8 -*-
# Author: Eason
def str(var1,*vartuple):
print var1
for var in vartuple:
print var
print "=" * 20
print "输出定义的变量："
print "=" * 20
str(10)
print "=" * 20
print "输出所有未定义的变量："
print "=" * 20
str(20,30,40)
print "=" * 20 |
# Import yfinance
import yfinance as yf
import pandas as pd
data = yf.download("ABEV3.SA", start="2020-08-01", end="2020-08-30")
print(type(data))
print(data)
print(data['High'])
print(data[['Low']])
print(data.iloc[1])
print(data.iloc[1][0])
tickers = {"F", "WFC", "GM"}
for ticker in tickers:
ticker_yahoo = y... |
class Node:
def __init__(self, data, next_node=None):
self.data = data
self.next = next_node
def find_circle_head(head):
seen_nodes = set()
while head is not None:
if head in seen_nodes:
return head
seen_nodes.add(head)
head = head.next
if __name__ == '_... |
import requests
# Importing requests
url = "https://api.tellonym.me/accounts/forgotpassword"
# Check Email Linked API URL
headers = {
"Host": "api.tellonym.me",
"Content-Type": "application/json",
"Accept": "application/json",
"Connection": "keep-alive",
"tellonym-client": "ios:2.65.0:488:14:iPhone13,3",
"User... |
import random
import sys
n=6
row=1
col=0
pos=0
col_s=0
f=0
d=0
roll_again = "yes"
flag=[[0 for j in range(n)] for i in range(n)]
def check( flag ):
count=0
for i in range(n):
count=0
for j in range(n):
if(flag[i][j]==1):
count=count+1
if(count==n):
print ("The row %d was... |
from flask import Flask, session, request, redirect, render_template
import random
app=Flask(__name__)
app.secret_key='macbook'
@app.route('/')
def index():
return render_template('index.html')
@app.route('/win')
def win():
return render_template('win.html', win=session['win'], lose=session['lose'], tie=sessi... |
from django.shortcuts import render, get_object_or_404, redirect, reverse
import os
from django.utils import timezone
from .models import Feature, Comment
from .forms import AddFeatureForm, AddFeatureCommentForm
from django.conf import settings
import stripe
import datetime
stripe.api_key = settings.STRIPE_SECRET_KEY.... |
from keras.initializers import RandomNormal
from keras.models import Model
from keras.models import Input
from keras.layers import Conv2D, Conv2DTranspose, UpSampling2D
from keras.layers import LeakyReLU
from keras.layers import Activation
from keras.layers import Concatenate
from keras_contrib.layers.normalization.ins... |
'''
https://gist.github.com/Tofull/49fbb9f3661e376d2fe08c2e9d64320e
'''
## Modules
# Elementary modules
from math import radians, cos, sin, asin, sqrt
import copy
# Graph module
import networkx
# Specific modules
import xml.sax # parse osm file
from pathlib import Path # manage cached tiles
def haversine(lon1, lat... |
from datetime import datetime
import sys
f = sys.argv[1]
node_map = {}
with open('../all_knls.sinfo.nodes.map',"r") as fin:
for line in fin:
(node, platform) = line.rstrip().split('\t')
node_map[node] = platform
d1p=None
d2p=None
node=None
start = None
end = None
counter = 0
nodes = {}
with open... |
#Queens attack 1d
def queenAttack(board , qr , qc):
n = len(board)
obs = False
count = 0
#right
for i in range(qr + 1 , n):
print('r: ' ,i)
if board[i] == 0:
count += 1
#board[i] = 'q'
#left
... |
import json
from flask import Flask
from flask import request
from flask.helpers import make_response
from flask.json import JSONDecoder, jsonify
from torch.utils import data
from BFT.utils import cuda_variable
from flask_cors import CORS
from BFT.handlers import DecoderPrefixHandler
app = Flask(__name__)
CORS(app)
""... |
# Copyright 2019 Intel, 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-2.0
#
# Unless required by a... |
"""Message View tests."""
# run these tests like:
#
# FLASK_ENV=production python -m unittest test_message_views.py
import os
from unittest import TestCase
from models import db, connect_db, Message, User, Follows
# BEFORE we import our app, let's set an environmental variable
# to use a different database for ... |
import os
import string
import sys
import requests
import json
from xml.etree import ElementTree
class cwatchAPI(object):
def __init__(self,usr,passwd):
self.sess = requests.session()
self.url = 'https://www.fusionvm.com/rest/v2/api/'
self.url2 = 'https://api.fusionvm.com/'
self.us... |
symb_rem = ['AABA','DJ30', 'HKG50', 'SGCG.DE','HKG50','ETO.L','SHPG','CELG','ECA','AKS','LK','UTX','AKRX','FTR',
'JCP','BRK.B','GNC','ASNA','CHK','SPN','OGZDL.RU','AGN','MYL','WUBA','SE.ST','HTZ','DF','XLM','TMK',
'CHINA50','NSDQ100','KVW.NV','AUS200','GEBN.ZU','CYBG.L','DLPH','WORKS','AMTD','ET... |
import time
n = list(range(1, 6))[::-1]
def insertionSort(n):
for i in range(1, len(n), 1):
key = n[i]
j = i - 1
while j >= 0 and key < n[j]:
n[j+1] = n[j]
j -= 1
n[j+1] = key
print("ARRAY : {0}".format(n))
return n
start = time.perf_counter(... |
import json
import argparse
from abstraction.abstraction import AbstractionManager
from dataset_creation.dataset_mining import DatasetMining
from token_extraction.token_extraction import TokenExtraction
from utils.settings import init_global
def read_file(filepath): # read generic file
try:
with open(f... |
for i in range(0, 10, 1):
print(i)
print "Cero!"
|
from pyhdf.SD import SD
import hdf4
import scipy.io
import numpy as np
import formatNum as fN
import re
import pandas as pd
import extract
import update
from collections import namedtuple
header_file_aerosol = '../../projects/aerosol/products/MIL2ASAE/'
header_data = '../../projects/aerosol/cache/data/'
PixelData = n... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ˅
from behavioral_patterns.interpreter.node import Node
# ˄
class CommandList(Node):
# ˅
# ˄
def __init__(self):
self.__nodes = []
# ˅
pass
# ˄
def parse(self, context):
# ˅
# Write here to avoid circ... |
import requests
import app_config as app_config
import json
base_url = 'https://youtube.googleapis.com/youtube/v3/'
channels_url = base_url + 'channels'
playlist_url = base_url + 'playlistItems'
search_url = base_url + 'search'
videos_url = base_url + 'videos'
ht = '%23'
pipe = '%7C'
verbose = True
... |
import argparse
import time
import os
import subprocess
import cv2 as cv
import numpy as np
FLAGS = None
VID = 'video'
IMG = 'image'
meanX = 103.939
meanY = 116.779
meanZ = 123.680
def nothing(v):
print('hello ' + v)
def predict_all(img, values, h, w):
blob = cv.dnn.blobFromImage(img, 1.0, (w, h),
(... |
import warnings
warnings.simplefilter("ignore", UserWarning)
# Import the necessary python library modules
import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import minimize
import os
import sys
import pdb
# Add my local path to the relevant modules list
sys.path.append('/Users/Daniel/Github... |
import os
import copy
import json
import logging
from typing import Optional, TypedDict, NewType
from shorthand.types import ExecutablePath, FilePath, DirectoryPath, RelativeDirectoryPath
class ShorthandFrontendConfig(TypedDict):
view_history_limit: int
map_tileserver_url: str
class ShorthandConfig(TypedDic... |
from . import views
from django.conf.urls import url
from django.urls import path, include
app_name = "main"
urlpatterns = [
url(r'^$',views.homepage, name="homepage"),
url(r'^loan_type/$', views.loan_types, name='loantype'),
url(r'^client/$',views.apply_loan, name="applyloan"),
url(r'^settings/$',vie... |
import math
import numpy as np
def batches(batch_size, features, labels):
"""
Create batches of features and labels
:param batch_size: The batch size
:param features: List of features
:param labels: List of labels
:return: Batches of (Features, Labels)
"""
assert len(features) == len(la... |
import layer_creater as lc
import neural_network_creater as nnc
import numpy as np
import tensorflow as tf
#训练数据准备
x_data = np.linspace(-1, 1, 300)[:, np.newaxis] #(300, 1)
noise = np.random.normal(0, 0.05, x_data.shape)
y_data = np.square(x_data) - 0.5 + noise
#定义数据节点
xs = tf.placeholder(tf.float32, [None, 1])
ys = ... |
import Queue, threading, random, time, socket, os, struct
class Attacks(threading.Thread):
def __init__(self, attack_q, input_q, probe_1, probe_2, rate_q, application_mon_q, flag_q, http_treshold_q_rep):
threading.Thread.__init__(self) # Required for thread class
self.attack_Q = attack_q
se... |
#!/usr/bin/python3
import os
import sys
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from scipy.io import wavfile
from scipy import signal
def D1(Y, Yhat):
NormYhat = (Yhat / np.sqrt(np.sum(Yhat**2)))
NormY = (Y / np.sqrt(np.sum(Y**2)))
return... |
from django.db import models
from transaction.models import ChartOfAccount
import datetime
from django.contrib.auth.models import User
from user.models import Company_info
from inventory.models import Add_products
class CompanyUser(models.Model):
user_id = models.IntegerField()
company_id = models.ForeignKey(C... |
from django.core.management.base import BaseCommand, CommandError
from django.core.exceptions import ObjectDoesNotExist
from filmmap.models import Film, FilmLocation, FilmActor
from decimal import *
import re
import csv
from datetime import datetime
class CSVParser(object):
def __init__(self, filename):
... |
import pytest
import os
import pandas as pd
from ticclat.utils import chunk_df, read_json_lines, write_json_lines, \
json_line, iterate_wf, chunk_json_lines, read_ticcl_variants_file
from . import data_dir
def test_chunk_df_smaller_than_num():
data = pd.DataFrame({'number': range(5)})
i = 0
for c ... |
__author__ = 'sidney'
|
class Solution:
def fractionToDecimal(self, numerator, denominator):
n, r = divmod(abs(numerator), abs(denominator))
sign = '-' if numerator*denominator < 0 else ''
res = [sign + str(n), '.']
stack = []
while r not in stack:
stack.append(r)
n, r = divm... |
from exceptions import Exception
# An entity of 'model' with the unique 'field' already exists
class FieldExistsError(Exception):
def __init__(self, model, field):
self.model = model
self.field = field
def json_dict(self):
return {'field_exists_error': {'model': self.model, 'field': s... |
"""Maze generation and path finding
Emir Farid MOHD RODZI
"""
from random import shuffle, randrange
class Cell:
"""
Cell objects represent a single maze location with up-to 4 walls.
The .N, .E, .S, .W attributes represent the walls in the North,
East, South and West directions. If the attribute is T... |
# -*- coding: utf-8 -*-
# This file as well as the whole tsfresh package are licenced under the MIT licence (see the LICENCE.txt)
# Maximilian Christ (maximilianchrist.com), Blue Yonder Gmbh, 2016
import warnings
from builtins import range
from unittest import TestCase
import numpy as np
import numpy.testing as npt
i... |
import numpy as np
from scipy.sparse import coo_matrix
from scipy.signal import convolve2d, convolve, gaussian
def fastkde(x, y, gridsize=(200, 200), extents=None, nocorrelation=False,
weights=None, adjust=1.):
"""
A fft-based Gaussian kernel density estimate (KDE)
for computing the KDE on a r... |
def calcslope(A,B,C,D,E,F,G,H):
try:
s=(D-B)/(C-A)
s2=(H-F)/(G-E)
y1=B-(s*A)
y2=F-(s2*E)
x=(y2-y1)/(s-s2)
y3=s*x+y1
return("The point of intersection is ("+str(round(x,3))+", "+str(round(y3,3))+").")
except(ZeroDivisionError):
return("Error 001: Ve... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-09-14 13:48
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0025_auto_20160908_1035'),
]
operations = [
migrations.AlterField(
... |
import os
import numpy as np
import ipywidgets as widgets
import pandas as pd
import qgrid
from natsort import natsorted
from IPython.display import display
import plotly
import plotly.graph_objs as go
import mod_common_utils
def figures_in_path(my_path, figures=None, ext='.jpg'):
if figures is None:
f... |
import requests
import json
import time
import math
from boto.s3.connection import S3Connection
from boto.s3.key import Key
tournament_name = 'The Masters'
year = 2015
# get tournament schedule from AWS
c = S3Connection('AKIAIQQ36BOSTXH3YEBA','cXNBbLttQnB9NB3wiEzOWLF13Xw8jKujvoFxmv3L')
b = c.get_bucket(... |
from wargame.attackoftheorcs import AttackOfTheOrcs
# Main类
if __name__ == '__main__':
game = AttackOfTheOrcs()
# 开始游戏
game.play() |
import urllib
import json
from bs4 import BeautifulSoup
from flask import Flask
statDims = {
"Blocks Mined": "blocks_mined",
"Time Between Blocks": "time_between_blocks",
"Bitcoins Mined": "bitcoins_mined",
"Total Transaction Fees": "total_transaction_fees",
"No. of Transactions": "num_transactions",
"Total Output Vol... |
#web scrapping using html parser method
from bs4 import BeautifulSoup as bs
import requests
link='https://www.flipkart.com/portronics-harmonics-216-bluetooth-headset/product-reviews/itm56304ccc8e996?pid=ACCFHHWUEXCFBMST&lid=LSTACCFHHWUEXCFBMSTGHSLHL&marketplace=FLIPKART'
page=requests.get(link)
page
page.cont... |
#!/usr/bin/python
import Tkinter as tk
import ImageTk
import bisect
import numpy as np
from PIL import Image
import random
import rospy
import tf
import math
import Queue
import itertools
import colorsys
from threading import Timer
from nav_msgs.msg import Odometry
from sensor_msgs.msg import LaserScan
from p2os_msgs... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import time
import pytest
from selenium import webdriver
@pytest.fixture(scope='module')
def webfront(agent):
return agent.context().lookup('webfront')
@pytest.fixture(scope='module')
def server... |
#-*- coding:utf-8 -*-
from django.db import models
from django.contrib.auth.models import User
from shopback.base.fields import BigIntegerAutoField
ROLE_CHOICES = (
('seller',u'卖家'),
('buyer',u'买家')
)
RESULT_CHOICES = (
('good',u'好评'),
('... |
import os
import numpy as np
import json
import struct
import open3d
# data_set_file = os.getcwd()+'\\data_set\\lidar_semantic_bboxes\\'
def read_file(file_name=os.getcwd()+'\\data_set\\lidar_semantic_bboxes\\'):
# 输入为数据集绝对路径
# 输出为.npz文件和.json文件位置
npz_dir = []
_3D_label_dir = []
dirs ... |
from speedycloud.products.cloud_server import CloudServerAPI
api = CloudServerAPI('F8592B402380432895EA8C12BEBF2222', '0eb7bc8c4aa154ce6abb799e4149417ca9b90a5eeb82789d2326082a5b5d2222')
# print api.get_available_zone()
# print api.get_support_isps('SPC-HK-2-A')
# print api.get_os_images('SPC-HK-2-A')
# print api.list... |
#-*- coding: utf-8 -*-
import wx
import win32api
import sys, os
import logging
from FileListTable import *
from APDFTool import APDFTool
APP_TITLE = u'PDF Document Merge Tool'
APP_ICON = 'pdf_maker.ico'
class mainFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None, -1, APP_TIT... |
# Enthought library imports.
from traits.api import HasTraits, Instance, Vetoable
# Local imports.
from task_window import TaskWindow
class TaskWindowEvent(HasTraits):
""" A task window lifecycle event.
"""
# The window that the event occurred on.
window = Instance(TaskWindow)
class VetoableTaskWi... |
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... |
import face_API as face
import pymysql as pl
import pre_process as pp
import json
infodict = {}
def entercourse(coursename):# Tested
db = pl.connect(host="rm-m5ec899sxqwx2rc9tgo.mysql.rds.aliyuncs.com",
user="root", password="Aa123456", db="classroom", charset='utf8')
cur = db.cursor()
fi... |
def checkInitialisationMC(solverWrapperDictionary,positionMaxNumberIterationsCriterion=None,tolerances=None):
checkInitialisationSolverWrapper(solverWrapperDictionary)
if ("asynchronous" in solverWrapperDictionary):
if (solverWrapperDictionary["asynchronous"] is True):
checkMaxNumberIteratio... |
import sys
import pygame
from pygame.sprite import Sprite, Group
def fire_bullet(screen, bullets, rocket):
"""Fire a bullet if limit not reached yet."""
# Create a new bullet and add it to the bullets group
if len(bullets) < 4:
new_bullet = Bullet(screen, rocket)
bullets.add(new_bullet)
... |
# Reverse Integer
# Given a 32-bit signed integer, reverse digits of an integer.
#
# Example 1:
#
# Input: 123
# Output: 321
# Example 2:
#
# Input: -123
# Output: -321
# Example 3:
#
# Input: 120
# Output: 21
# Note:
# Assume we are dealing with an environment which could only hold integers within the 32-bit signed... |
import requests
import random
# location_types = [
# "Blue",
# "AllGender",
# "Water",
# ]
type_dict = {
"Blue": "Blue Light",
"AllGender": "Bathroom",
"Water": "Water",
}
def get_img_url(ltype):
img_idx = random.randint(0, 2)
url_dict = {
"Blue": f"https:/... |
# coding=utf-8
import os
import sys
import time
import json
import gevent
import logging
import requests
from utils import save_items, get_items_from_file, add_item_fields, log_init, save_items_with_json
reload(sys)
sys.setdefaultencoding('utf8')
# 速码(www.eobzz.com)
# 账号/密码: hbbhbb(rfM#!EzZU%!3s7*kxbTy)
# 平台接口前缀: 'h... |
#047: Expected Number of Restriction Sites
#http://rosalind.info/problems/eval/
#Given: A positive integer n (n=1,000,000), a DNA string s of even length at most 10, and an array A of length at most 20, containing numbers between 0 and 1.
n = 10
s = 'AG'
A = [0.25, 0.563, 0.422]
#If parsing from file:
#f = open('ro... |
"""
문제
N개의 숫자가 공백 없이 쓰여있다. 이 숫자를 모두 합해서 출력하는 프로그램을 작성하시오.
입력
첫째 줄에 숫자의 개수 N (1 ≤ N ≤ 100)이 주어진다. 둘째 줄에 숫자 N개가 공백없이 주어진다.
출력
입력으로 주어진 숫자 N개의 합을 출력한다.
예제 입력 1
1
1
예제 출력 1
1
예제 입력 2
5
54321
예제 출력 2
15
"""
a=int(input())
N=input()
def sum_c(a):
L=[]
result=0
for i in range(0, len(a)):
L.append(a[i])... |
import logging
import sys
from io import StringIO
logger = logging.getLogger('test')
logger.setLevel(logging.DEBUG)
buffer_stream = StringIO()
buffer_handler = logging.StreamHandler(stream=buffer_stream)
console_handler = logging.StreamHandler(stream=sys.stdout)
buffer_handler.setLevel(logging.DEBUG)
console_handler... |
import json
from flask import request
from requirementmanager.app import app
from requirementmanager.mongodb import (
requirement_collection, archive_requirement_collection
)
from requirementmanager.dao.requirement_list import RequirementListMongoDBDao
from requirementmanager.dao.archive import ArchiveRequirement... |
import aiml
# Create the kernel and learn AIML files
mybot=aiml.Kernel()
#mybot.setbotpredicate("name","Armin")
mybot.learn('AIMLData.aiml')
mybot.respond("SK1 BotMaster")
mybot.respond("SK2 Student")
mybot.respond("SK3 Floki")
mybot.respond("SK4 Robot")
mybot.respond("SK5 Egypt")
mybot.respond("SK6 Male")
mybot.resp... |
import pandas as pd
import json
from boto.s3.connection import S3Connection
from boto.s3.key import Key
year = 2015
tournament = 'Valero Texas Open'
# create connection to bucket
c = S3Connection('AKIAIQQ36BOSTXH3YEBA','cXNBbLttQnB9NB3wiEzOWLF13Xw8jKujvoFxmv3L')
# create connection to bucket
b = ... |
from core.renderers import CoreJSONRenderer
class TopicRenderer(CoreJSONRenderer):
object_label = 'topic'
pagination_object_label = 'topics'
pagination_count_label = 'topicsCount'
class PreferenceRenderer(CoreJSONRenderer):
object_label = 'preference'
pagination_object_label = 'preferences'
p... |
# while-loop 循环：一直执行代码，知道判断条件为 False 才停止
# 可以用来做循环任务
# 使用建议
# 1.尽量少用 while-loop ，大部分时候使用 for-loop 是更好的选择
# 2.重复检查 while 语句， 确定测试布尔表达式 最终会变成 False
# 3.如果不确定，就在 while-loop 的结尾打印测试值， 看看结果
i = 0
numbers = []
while i < 6:
print "At the top i is %d" % i
numbers.append(i)
i += 1
print "Numbers now: ", numb... |
#!/usr/bin/env python
#-*-coding:utf-8-*-
'''
In England the currency is made up of pound, £, and pence,
p, and there are eight coins in general circulation:
1p, 2p, 5p, 10p, 20p, 50p, £1 (100p) and £2 (200p).
It is possible to make £2 in the following way:
1×£1 + 1×50p + 2×20p + 1×5p + 1×2p + 3×1p
How many differen... |
from django.urls import path
from .views import (dashboard,
team_members,
profile,
create_team,
leave_team,
membership_request,
cancel_request,
accept_request,
... |
from detect import YOLO
from PIL import Image
import imutils
import cv2
import os
yolo = YOLO()
files = os.listdir('./test/')
for file in files:
if file.endswith('jpg') or file.endswith('bmp'):
image_path = './test/' + file
image = cv2.imread(image_path)
boxes = yolo.detect_image(Image.op... |
__author__ = 'Stuart'
from flask import jsonify, request, g, abort, url_for, current_app
from .. import db
from ..models import Post, Permission
from . import api
from .decorators import permission_required
from .errors import forbidden
@api.route('/posts/')
def get_posts():
"""
Contains data items in a page,... |
from datetime import datetime
from mongoengine import *
from db.config import _MongoengineConnect
from db.sentences.sentence import Sentences
connect(_MongoengineConnect)
class Comments(Document):
belongsto_sentence = ReferenceField((Sentences))#,dbref=True
content = StringField(max_length=50)
love = ... |
"""
A simple guess-that-number game. Players take turns guessing a secret number
between lower and upper (normally 0 and 100). After a guess, all players are
informed of the guess as well as if the secret number was lower or higher. The
game ends when some player guesses the secret number correctly. That player is
t... |
#from .fitting import circuit_fit, computeCircuit, calculateCircuitLength
#from .plotting import plot_nyquist
import matplotlib.pyplot as plt
import numpy as np
### to find confidence intervals for fit parameters:
# SE(Pi) = sqrt[(SS/DF) * conv(i,i)]
# Pi : ith adjustable parameter
# SS: sum of squarewd residuals
# DF... |
import mmh3
import sys
def add_one_to_each(item, queue, big_list):
for i in range(0, len(item)):
item[i] += 1
queue.append(list(item))
big_list.append(list(item))
item[i] -= 1
def generate_variations(message, m_list, num_variations):
split_list = message.split()
queue = [... |
import select
import socket
from threading import Thread
from authenticate import Authenticate
from connection import Connection
from connection_state import ConnectionState
from connections import Connections
from const import Consts
from protocol import ProtoLogin, ProtoBroadcast
from user import User
from users imp... |
#!/usr/bin/env python
# coding: utf-8
# In[2]:
import struct
import socket
import codecs
import time
import matplotlib.pyplot as plt
import pylab
import random
import numpy as np
import sys
import csv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import math
import serial
# In[433]:
def ct... |
#!/usr/bin/env python
'''
Count the number of occurrences in a list
'''
import numpy as np
def count(sequence, item):
total = 0
for i in range(len(sequence)):
if sequence[i] == item:
total += 1
return total
alist = [np.random.randint(0,10) for _ in range(25)]
print(count(alist,alist... |
def get_num_ecgs_with_feature(json_data, binary_feature_name):
"""Смотрим, у скольки пациентов датасета в разделе
докторсокого стуктурированного диагноза (т.е. в "StructuredDiagnosisDoc")
находится True """
counter = 0
for case_id in json_data.keys():
if(json_data[case_id]["StructuredDiagno... |
from flask import Blueprint, render_template, request, session, url_for
from werkzeug.utils import redirect
import src.models.users.decorators as decorators
from src.models.sked.sked import Sked
sked_blueprint = Blueprint('skeds', __name__)
@sked_blueprint.route('/new', methods=['GET','POST'])
@decorators.requires_l... |
#!/usr/bin/python
import math
def print_map_to_file(d_grid, filename):
with open(filename, "w+") as grid_file:
for row in reversed(d_grid):
for cell in row:
grid_file.write("1") if cell else grid_file.write("0")
grid_file.write("\n")
def create_occupancy_grid(my_... |
from app import db
from app.authenticate import generate_hash,check_passwd
from app.auxiliar import AutoAttributes
class Cadastro(db.Model,AutoAttributes):
__tablename__ = 'cadastro_usuario'
id_cadastro = db.Column(db.Integer,primary_key = True)
senha = db.Column(db.Text, nullable=False)
usuario_id = d... |
#!/usr/bin/env python
# Funtion:
# Filename:
import select, socket, queue
class Slectors_server(object):
def __init__(self, HOST):
self.server = socket.socket()
self.server.bind(HOST)
self.server.listen(1000)
self.server.setblocking(False)
def push(self, Recv_dict):
... |
# @Title: 从上到下打印二叉树 III (从上到下打印二叉树 III LCOF)
# @Author: 2464512446@qq.com
# @Date: 2020-06-28 17:17:15
# @Runtime: 40 ms
# @Memory: 13.8 MB
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:... |
#
# u n c o m m e n t . p y
#
# javascript comments, both /* ... */ and // to eol
#
import sys, re
prog = list(sys.stdin.read()) + [None,None,None]
x = 0
while prog[x] != None :
#print "top of loop:", x, prog[x]
if prog[x]=='/' and prog[x+1]=='/' :
while prog[x] != '\n' :
if prog[x] ==... |
import requests #requests 라이브러리 가져오기
from bs4 import BeautifulSoup #크롤링을 쉽게 해주는 라이브러리
from pprint import pprint
from pymongo import MongoClient # pymongo를 임포트 하기
client = MongoClient('localhost', 27017) # mongoDB는 27017 포트로 돌아갑니다.
db = client.dbsparta # 'dbsparta'라는 이름의 db를 만듭니다.
# 타겟 u... |
import numpy as np
from matplotlib import pyplot
from scipy.misc import toimage
import json
import keras
from keras.datasets import cifar10
from keras.utils import np_utils
from keras.optimizers import SGD
from keras.regularizers import l2, activity_l2
from keras.layers.normalization import BatchNormalization
from ke... |
import requests
requests.packages.urllib3.disable_warnings()
import sys
# from bs4 import BeautifulSoup
from decimal import Decimal
# import json
# import lxml
import threading
import time
import smtplib
from email.mime.text import MIMEText
from email.header import Header
# 第三方 SMTP 服务
mail_host="smtp.163.com" #设置服务器... |
import tensorflow as tf
import numpy as np
from tensorflow.keras import layers
import matplotlib.pyplot as plt
import time
import TTT
board = TTT.Board(3);
board.place_piece(1, 1, 1);
board.place_piece(1, 0, 1);
board.place_piece(1, 2, 1);
if(1 != board.has_won()):
print("BOARD WIN ERROR 1")
board.remove_piece(1... |
#!/usr/bin/env python3
# encoding: utf-8
"""
selection_sort.py
Created by Jakub Konka on 2011-11-01.
Copyright (c) 2011 University of Strathclyde. All rights reserved.
"""
import sys
import random as rnd
def selection_sort(array):
'''This function implements the standard version of the
selection sort algorithm.
... |
def sum(num):
sum = 0
i = 0
while i <= num:
sum = sum + i
i = i + 1
print(sum)
sum(4)
|
if __name__ == "__main__":
n = int(input())
for i in range(n):
word = list(input())
guess = list(input())
M = ["G" if w == b else "B" for w, b in zip(word, guess)]
print("".join(M))
|
'''
Extraire le dosage
La forme galenique
Le volume (nb de gelules)
Calculer l'equivalent traitement
'''
import pandas as pd
import requests
import re
url = "https://www.open-medicaments.fr/api/v1/medicaments?limit=100&query=paracetamol"
jsonData = requests.get(url).json()
#ICS = [f'https://www.open-medicaments.fr... |
"""
一个机器人位于一个 m x n 网格的左上角 （起始点在下图中标记为“Start” ）。
机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角（在下图中标记为“Finish”）。
现在考虑网格中有障碍物。那么从左上角到右下角将会有多少条不同的路径？
网格中的障碍物和空位置分别用 1 和 0 来表示。
示例 1：
输入：obstacleGrid = [[0,0,0],[0,1,0],[0,0,0]]
输出：2
解释：
3x3 网格的正中间有一个障碍物。
从左上角到右下角一共有 2 条不同的路径：
1. 向右 -> 向右 -> 向下 -> 向下
2. 向下 -> 向下 -> 向右 -> 向右
示例 2：... |
from
Q = 10**9+7
N, M = map( int, input().split())
A = list( map( int, input().split()))
B = list( map( int, input().split()))
G = [(0,0)]*N
R = [(0,0)]*M
for i, m in enumerate(A):
G[i] = (m,i)
for j, m in enumerate(B):
R[j] = (m,j)
G.sort()
R.sort()
ans = 1
A.sort()
B.sort()
for i in range(N):
if A[i] < M... |
from PyQt4 import QtGui
from TimePad import Ui_Dialog
import ShiftPopUp
class TimePadPopUp(QtGui.QDialog):
a = float() # Total hours counter variable
#sender = str()
def __init__(self, StAM, FinAM, BrkAM, StPM, FinPM, BrkPM):
super(TimePadPopUp, self).__init__()
QtGui.QWidget.__init__(se... |
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