text stringlengths 8 6.05M |
|---|
"""
剑指 Offer 66. 构建乘积数组
给定一个数组 A[0,1,…,n-1]，请构建一个数组 B[0,1,…,n-1]，其中 B 中的元素 B[i]=A[0]×A[1]×…×A[i-1]×A[i+1]×…×A[n-1]。不能使用除法。
"""
"""
这个不能用除法还真的是神仙操作呢,可以稍微研究一下,其实首先完全可以暴力破解,就根据这个公式来写,但是这样时间复杂度很高,不是最优解法.
得通过观察,假如A = [1,2,3,4,5],那么:
B1 = 1 * 2 * 3 * 4 * 5
B2 = 1 * 1 * 3 * 4 * 5
B3 = 1 * 2 * 1 * 4 * 5
B4 = 1 * 2 * 3 * 1 * 5... |
import pytest
from heap import build_heap, heap
from copy import copy
@pytest.fixture
def hp():
keys = [4, 1, 3, 2, 16, 9, 10, 14, 8, 7]
return build_heap(keys)
def _test_e2i(hp):
for i in range(hp.size):
assert hp.e2i[hp.es[i]] == i
def _test_heap_property(hp):
for i in range(1, hp.size):... |
import math
import csv
import numpy as np
import random as rand
import spectral
import matplotlib.pyplot as plt
print 'Fast Planted Vector'
def test_file():
Y = np.loadtxt(open("Y.csv","rb"),delimiter=",",skiprows=0)
q = np.loadtxt(open("q.csv","rb"),delimiter=",",skiprows=0)
YSY = get_YSY(Y)
spa... |
# -*- coding: utf-8 -*-
def compute():
num=int(input())
if num == 1:
print("Not Prime")
elif num == 2:
print("Prime")
elif num < 0:
print("Not Prime")
elif (num-1)%2==0:
print("Prime")
else:
print("Not Prime")
co... |
import time
from logging import log
import functools
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import ConnectionError as ElasticConnectionError, ConnectionTimeout as ElasticTimeOutError, TransportError, \
ConnectionError
def timeout_fallback(result, enable=False, last_time=5 * 60):
def... |
from customers.Aurora.medication_admin.medication_admin_mappings import (
DISCONT_REASON, DOSE, MAR_ACTION, MAR_DURATION, REASON, SITE, UNIT)
from lib.master_fake_data_generator import FakeDataGenerator
class AURORAMedicationAdminFakeDataGenerator(FakeDataGenerator):
def generate_pipeline_row(self, row: str,... |
# import the necessary packages
from report_handler import handle_report
from datetime import datetime
from pyimagesearch.utils import Conf
class TrackableObject:
def __init__(self, objectID, centroid, licenseNumber=str()):
# store the object ID, then initialize a list of centroids
# using the curr... |
from leetcode.tree import printtree
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def reverseTree(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
if __name__ == "_... |
from django.core.exceptions import ValidationError
from django.db import models
from borg_utils.publish_status import EnabledStatus
class PublishAction(object):
"""
Represent all the pending actions after last publish
"""
publish_all_action = 1
publish_data_action = 4
publish_feature_action = ... |
#!/usr/bin/env python3
# NeoPixel library strandtest example
# Author: Tony DiCola (tony@tonydicola.com)
#
# Direct port of the Arduino NeoPixel library strandtest example. Showcases
# various animations on a strip of NeoPixels.
import argparse
import base64
import hashlib
import json
import logging
import os
import r... |
from requests_ import groups_get, friends_get, groups_list_info, check_user
from functions import json_to_file, print_json_file, sort_groups
import datetime
"""
Ввод данных (идентификатор пользователя) осуществляется через консоль. Аргументом может быть как id так и screen_name.
Идентификаторы, которые я использовал д... |
import pygame
import json
from ship import Ship
# TO-DO: reset frame-timer to 0 everytime the scoreboard transition thing is called.
class Scoreboard:
"""Display level, ship_left, high-score, and current score"""
def __init__(self, main_game):
self.main_game = main_game
self.settings = self.ma... |
from distutils.core import setup
setup(
name='vent',
version='0.2.1',
packages=['vent', 'vent.core', 'vent.core.file-drop', 'vent.core.rq-worker', 'vent.core.rq-dashboard',
'vent.core.template-change', 'vent.core.rmq-es-connector', 'vent.helpers', 'tests', 'scripts',
'scripts.info_tools', 'scripts.service... |
#this will work
# Melih Özşeker
islem=input("islemi giriniz:")
sayi1=int(input("Sayi1:"))
sayi2=int(input("Sayi2:"))
if islem=="+":
sonuc=int(sayi1)+int(sayi2)
print("Sonuc:",str(sonuc))
elif islem=="-":
sonuc=int(sayi1)-int(sayi2)
print("Sonuc:",str(sonuc))
elif islem=="*":
sonuc=int(sayi1)-int(... |
import sys
import cv2
import numpy as np
from PyQt5.QtWidgets import *
from PyQt5 import uic
video_list = [None, "real_drive.mp4", "car_driving.mp4", "highway.mp4"]
class MyWindow(QMainWindow):
def __init__(self):
super().__init__()
self.ui = uic.loadUi("line_detect.ui", self)
self.horisl... |
# -*- coding: utf-8 -*-
#money=int(input())
#Amount=eval(input())
#Month=int(input())
#a=[]
#b=[]
#for i in range(1,6):
# a.append(i)
#print("{:5s}{:>11s}".format("Month","Amount"))
#for i in range(5):
# money=money+money*Amount/1200
# b.append(money)
# print("{:^5d}{:12.2f}".format(a[i],b[i]))
m=int(input... |
import EoN
import numpy as np
def simulation(G, tau, gamma, rho, max_time, number_infected_before_release, release_number, background_inmate_turnover,
stop_inflow_at_intervention, p, death_rate, percent_infected, percent_recovered, social_distance,
social_distance_tau, initial_infected_l... |
import numpy as np
from collections import defaultdict, OrderedDict
from . import uff_pb2 as uff_pb
from .data import FieldType, create_data
from .exceptions import UffException
from .node import Node
from .utils import extend_with_original_traceback, int_types
def _create_fields(default_fields, fields=None):
de... |
import numpy as np
import matplotlib.pyplot as plt
import numba
from pprint import pprint
import time
@numba.njit(fastmath=True)
def vdd(y, x0, alpha, noise):
x = x0
xs = np.empty_like(y)
for i in range(len(xs)):
x = alpha*x + y[i] + noise[i]
xs[i] = x
return xs
@numba.njit(fastmath=Tr... |
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session, sessionmaker, scoped_session
from sqlalchemy import create_engine
from sqlalchemy import inspect
Base = automap_base()
database_username = 'root'
database_password = 'root'
database_ip = 'localhost'
database_name = 'mmr'
eng... |
from urllib import request
url = 'https://www.flickr.com/search/?text=aurora%20polaris'
c = request.urlopen(url)
http = c.read().decode('utf-8')
imurls = []
start = 0
while True:
index = http.find('img.src', start)
if index == -1:
break
imurls.append('http:' + http[index+9 : http.find(';', index)... |
from django.conf import settings as const
from api.models import Collection, Category, Make, \
Model, Artifact, CollectionArtifact, Image, Transfer, Notification
from api.serializers import CollectionSerializer, CategorySerializer, \
MakeSerializer, ModelSerializer, ArtifactSerializer, CollectionArtifactSeriali... |
#WAP TO INPUT THREE NUMBERS AND CHECK WHETHER THEY FORM A TRIANGLE
a=input("Enter first side : ")
b=input("Enter second side : ")
c=input("Enter third side : ")
if a<b+c and b<a+c and c<a+b:
print "It's a triangle!"
if a==b==c:
print "It's an equilateral triangle.."
elif a==b or b==c or a=... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import sys
import os.path
from PyQt4 import QtCore, QtGui
QtCore.Signal = QtCore.pyqtSignal
import vtk
from vtk.qt4.QVTKRenderWindowInteractor import QVTKRenderWindowInteractor
class VTKFrame(QtGui.QFrame):
def __init__(self, parent = None):
super(VTKFrame,... |
import sys
import pandas as pd
import numpy as np
def loadmsoaData(dirName='../Loneliness'):
msoaData = pd.read_excel('%s/msoa_loneliness.xlsx'%(dirName), 'msoa_loneliness', index_col=None)
msoaDataDict = pd.read_excel('%s/msoa_loneliness.xlsx'%(dirName), 'Data Dictionary', index_col=None)
return msoaData, msoaDat... |
# Copyright 2010-2012 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
"""Provides an easy-to-use python interface to Gentoo's metadata.xml file.
Example usage:
>>> from portage.xml.metadata import MetaDataXML
>>> pkg_md = MetaDataXML('/usr/portage/app-misc/gourmet/metadata.xm... |
#!python3
from numpy import random
from time import perf_counter
def selection_sort(array):
"a is a list like iterable. returns sorted version of a"
for i in range(len(array)):
j = 1
k=i
while i+j<len(array):
if array[i+j] < array[k]:
k = i+j
... |
import os
import uuid
from datetime import datetime, timezone, timedelta
from io import BytesIO
from threading import Lock
import pytest
import pytz
from wacryptolib._crypto_backend import get_random_bytes
from wacryptolib.utilities import (
split_as_chunks,
recombine_chunks,
dump_to_json_bytes,
dump_... |
from scipy.signal import butter, lfilter, resample
from tqdm import tqdm
from pylab import genfromtxt
import scipy.io as io
import numpy as np
import pandas as pd
import lib.utils as utils
import random
import os
import sys
sys.path.append('..')
from methods import pulse_noise
def bandpass(sig, band, ... |
import os
project_folder = './Sklearn'
os.makedirs(project_folder, exist_ok=True)
# copy the training script into project directory
import shutil
shutil.copy('train_iris.py', project_folder) |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import pandas as pd
import pickle
import random
from scipy import misc
import sklearn.preprocessing
from src.util.BaseProcess import BaseProcess
from conf import FeatureCNNConf
from conf import DataType
from src.util.filter.InfoFilter import InfoFilter
from src.util.filter... |
# def in_box():
# customer_name = str('Jasmine')
# current_date = str('Novemeber 27, 2020')
#
# def inputes():
# default_survey = '''{customer_name}, your feedback is realy important. Please give a positive feedback.
# Have a great day ahead. Happy shopping. Today's date is {current_date}.'''
#
# def co... |
class Solution:
def isPowerOfFour(self, n: int) -> bool:
while n > 4 and n % 4 == 0:
n //= 4
if n == 1 or (n > 0 and n % 4 == 0):
return True
else:
return False
|
import statistics
data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 4.5]
statistics.mean(data)
statistics.median(data)
statistics.variance(data)
|
import pygame
import sys
import random
import math
from OpenGL.GL import *
from OpenGL.GLU import *
# general OpenGL initialization
def init_opengl(width, height):
glViewport(0, 0, width, height)
glMatrixMode(GL_PROJECTION)
glLoadIdentity()
gluPerspective(90.0, float(width)/height, 0.1, 100.0)
glMa... |
# Copyright 2023 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from textwrap import dedent
import pytest
from pants.backend.helm.check.kubeconform import chart
from pants.backend.helm.check.kubeconform.chart impor... |
# coding=utf-8
BOT_NAME = 'myspider'
SPIDER_MODULES = ['myspider.spiders']
NEWSPIDER_MODULE = 'myspider.spiders'
ROBOTSTXT_OBEY = False # 遵守robots协议
LOG_LEVEL = 'DEBUG' # 日志级别
CONCURRENT_REQUESTS = 20 # 线程数
DOWNLOAD_DELAY = 0.01 # 间隔时间
REDIRECT_ENABLED = True # 不允许重定向
#HTTPERROR_ALLOWED_CODES = [302, 405, 303,... |
# -*- coding: utf-8 -*-
"""
Created on Mon May 27 22:12:22 2019
@author: HP
"""
import math
import heapq
n,k=input().split()
n=int(n)
k=int(k)
A = [int(x) for x in input().split()]
C=[]
for i in range(1,n):
small=math.inf
for j in range(i-k,i):
if j>=0:
if C[j]<small:
... |
from command_interface import Command
from receivers import *
class SandwichCommand(Command):
"""
A concrete / specific Command class, implementing exectue()
which calls a specific or an appropriate action of a method
from a Receiver class.
Args:
lunch (Lunch): Receiver class to be attache... |
# -*- coding: ms949 -*-
from sklearn.datasets.samples_generator import make_blobs
import matplotlib.pylab as plt
from sklearn.cluster import KMeans
X, Y = make_blobs(n_samples=300, centers=4, cluster_std=0.60, random_state=0)
kmeans = KMeans(n_clusters=4) # n_clusters: 군집의 개수
kmeans.fit(X)
y_kmeans = kmean... |
n = int(input())
arr = list(map(int,input().strip().split()))[:n-1]
sum1 = sum(arr)
sum2 = (n*(n+1))//2
ans = sum2 - sum1
print(ans) |
# -*- encoding: utf-8 -*-
"""
Topic：定义数据库模型
"""
from sqlalchemy.engine.url import URL
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime
from settings import DATABASE
def db_connect():
"""
连接数据库
:return:
"... |
# -*- coding: utf-8 -*-
# @Time : 2019/5/16 1:12 PM
# @Author : Shande
# @Email : seventhedog@163.com
# @File : __init__.py.py
# @Software: PyCharm
from flask import Blueprint
pcadmin = Blueprint('pcadmin', __name__)
import app.Tvzhijian.pcadmin.pc_admin
|
#!/usr/bin/python
class Heap(object):
def build(self, elements, typ):
i = len(elements)/2 - 1
while i >= 0:
self.heapify(elements, i, typ)
i -= 1
def heapify(self, elements, index, typ):
mIndex = self.getMIndex(elements, index, typ)
if mIndex != index:
temp = elements[index]
elements[index... |
from django.views.generic import View
from django.shortcuts import render
from django.contrib.admin.models import LogEntry, ADDITION
from django.contrib.contenttypes.models import ContentType
from blog.models import Post
from events.models import Event
from songs.models import Song
def get_or_none(model, **kwargs):
... |
class simple:
def __init__(self):
print("constructor called,".format(id(self)))
a = simple()
|
# Generated by Django 3.0.6 on 2020-05-16 20:49
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('todos', '0002_auto_20200516_2046'),
]
operations = [
migrations.RemoveField(
model_name='todo',
name='done',
),
... |
#!/usr/bin/env python3
import io
import csv
import xlrd
import utils
def download():
utils.download_file('https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534468/bin/' +
'supp_amiajnl-2012-000935_amiajnl-2012-000935supp_table2.xls',
'../data/pmid_22647690/supp_amiajnl... |
from django.urls import path
from .views import index_view,account_of_user,profile_change,details_update,user_todo,change_details,history,view,completed, about
urlpatterns = [
path('', index_view, name = 'Home'),
path('account/', account_of_user, name = 'Account'),
path('updateprofile/', profile_change, na... |
Pn = n! – «число перестановок» из n различных знаков (т.е. знаки нельзя повторять)
m^n – число наборов по n из m знаков, если знаки можно повторять
Обобщение: Сколькими способами из n элементов можно выбрать m, учитывая, что
сначала выбираем первую фигуру, потом – вторую и т.д.:
n!/(n-m)! - («Число размещений из n по... |
'''Compiles the NumPy ufuncs in `c/`.
To use from the command line, run the following script:
`python setup.py build_ext --inplace` and make sure you are in the `model`
directory.
'''
import numpy
from numpy.distutils.core import setup
from numpy.distutils.misc_util import Configuration
from os.path import join as pat... |
from roboclaw import *
def counterClockwise(speed):
M1Forward(speed, 128)
M2Forward(speed, 128)
M1Forward(speed, 129)
def clockwise(speed):
M1Backward(speed, 128)
M2Backward(speed, 128)
M1Backward(speed, 129)
def right():
M1Backward(35, 128)
M2Backward(35, 128)
M1Forward(70, 129)
... |
# -*- coding: utf-8 -*-
from django.contrib import admin
from app.rentacar.models import RentACar
class RentACarAdmin(admin.ModelAdmin):
model = RentACar
list_display = ['id', 'vehicle', 'customer', 'is_back']
admin.site.register(RentACar, RentACarAdmin)
|
__title__ = 'names'
__version__ = '0.0.1'
__licence__ = '????'
# Losely based on code developed by Trey Hunner at https://github.com/treyhunner/names
import os
from random import random
from bisect import bisect
class SingletonMetaClass(type):
def __init__(cls, name, bases, dict):
super(SingletonMetaClas... |
import numpy as np
import numpy.ma as ma
import matplotlib.pyplot as plt
from scipy import ndimage, signal
import hylite
from hylite import HyHeader
import hylite.reference.features as ref
from hylite.hyfeature import HyFeature, MultiFeature, MixedFeature
from matplotlib.ticker import AutoMinorLocator
class HyData(ob... |
# coding: utf-8
# In[1]:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
import numpy as np
import matplotlib.pyplot as plt
# In[2]:
"""def make_batch(input_data, noise_data, batch_size):
index = np.arange(0, len... |
chars = open('store.txt',).read();
print(chars) # display the file contents
|
"""
Write a python program to guess the number in the user's mind.
randrange function of random module can be used to guess the number in user’s mind.
Note: User should think of a number which is in between 1 and 10 (both inclusive).
+---------------------+------------------------------+----------------+------------... |
'''balancing an inverted double pendulum'''
from math import *
# specs
mass_pen1=131 # pendulum 1 mass [g]
len1=213 # link 1 length [mm]
mass_pen2=145 # 110g bearing +35 pendulum 2 mass [g]
len2=11.35 # link 2 length [mm]
x=0.0 # x position of the end effector
y=0.0 # y position of the end effector
# let theta3 be t... |
import distribute_setup
distribute_setup.use_setuptools()
from setuptools import setup, find_packages
setup(
name = "Wicked Jukebox Database",
version = "1.0",
license = "BSD 3-Clause",
packages = find_packages(),
long_description=open("README.rst").read(),
install_requires = [
'sqlalc... |
from django.conf.urls import patterns, include, url
from django.contrib import admin
import login.urls
import exercise.url
import collection.urls
import resources.urls
import activity.urls
import fortune.urls
import bbs.urls
import jobs.urls
import complaint.url
admin.autodiscover()
urlpatterns = patterns('',
# u... |
from typing import (
Any,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Sequence,
Type,
TypeVar,
Union,
)
from typing_extensions import Protocol
from ._pydantic import BaseModel
BaseModelSubclassType = TypeVar("BaseModelSubclassType", bound=BaseModel)
ModelType = Type... |
from django.template import RequestContext
from corcho import settings
def app_settings(request):
return {
"settings": settings,
}
|
from objects import glyphs
class RogueGlyphs(glyphs.Glyphs):
# Should put all of them in at some point, just added the ones that matter
# for the initial set of calculations.
allowed_glyphs = frozenset([
'backstab', 'mutilate', 'rupture', 'slice_and_dice', 'vendetta',
'tricks_of_the_tr... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 6 15:00:01 2019
@author: andr
"""
import os
import numpy as np
import matplotlib.pyplot as plt
from copy import copy
from tqdm import tqdm
name_pulsar = input('Enter name pulsar: ')
with open(name_pulsar + '_start.par', 'r') as file:
lines... |
import tkinter as tk
import speech_recognition as sr
import os
from gtts import gTTS
def voice_output(mytext):
# Language in which you want to convert
language = 'en'
# Passing the text and language to the engine,
# here we have marked slow=False. Which tells
... |
# Generated by Django 2.2.4 on 2019-12-05 09:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('visitors', '0017_auto_20191202_1244'),
]
operations = [
migrations.AddField(
model_name='track_entry',
name='send_ou... |
'''
创建一个类
类名：首字母大写，驼峰原则，见名知意
类属性：驼峰原则
类行为：方法或函数
'''
'''
类本身不占内存空间，实例化的对象占内存空间
格式：
class 类名(父类列表):
属性
行为
'''
class People(object):
# 定义属性
name = ""
age = 0
height = 0
weight = 0
# 定义行为(函数)
# 方法的参数必须以self当第一个参数，不传参的话只写self
# self代表类的实例(某个对象)
def run(self):
... |
import sys, io, os, random, logging
from jacks.io_preprocess import subsample_and_preprocess
from jacks.jacks import infer_JACKS_gene, LOG
import numpy as np
def read_essentiality():
ess = [l.strip().split("\t")[0] for l in file("../../data/Hart_training_essentials.txt",'r').readlines()[1:]]
noness = [l.strip(... |
import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
import scipy.sparse as sp
import numpy as np
from sklearn.metrics import roc_auc_score, average_precision_score, roc_curve, precision_recall_curve
from sklearn.manifold import spectral_embedding
import node2vec
from gensim.models import... |
import matplotlib.pyplot as plp, numpy
xValue = numpy.random.randn(50)
yValue = numpy.random.randn(50)
plp.scatter(xValue, yValue)
plp.title("Scatter Plot")
plp.suptitle("Scatter Title")
plp.grid(True)
plp.xlabel("xLabel")
plp.ylabel("yLabel")
plp.show() |
#Bubble Sort
def bubble_sort(items):
'''Return array of items, sorted in ascending order'''
swapFlag = True
while swapFlag:
swapFlag= False
for i in range(len(items)-1):
if items[i] > items[i+1]:
items[i], items[i+1] = items[i+1], items[i]
swapFl... |
from django.db import models
# Create your models here.
class Entry (models.Model):
creation_date = models.DateField(('creation_date'), auto_now=False, auto_now_add=False, blank=False)
updated_date = models.DateTimeField(('updated_date'), auto_now=True, blank = True)
class FeelingOptions(models.TextChoic... |
# KVM-based Discoverable Cloudlet (KD-Cloudlet)
# Copyright (c) 2015 Carnegie Mellon University.
# All Rights Reserved.
#
# THIS SOFTWARE IS PROVIDED "AS IS," WITH NO WARRANTIES WHATSOEVER. CARNEGIE MELLON UNIVERSITY EXPRESSLY DISCLAIMS TO THE FULLEST EXTENT PERMITTEDBY LAW ALL EXPRESS, IMPLIED, AND STATUTORY WARRANT... |
from django.db import models
from django.urls import reverse
class Catalog(models.Model):
name = models.CharField(db_index=True, max_length=200, primary_key=True, verbose_name='Имя')
slug = models.SlugField(max_length=200, db_index=True)
seo_descr = models.TextField(blank=True, verbose_name='Описание', ma... |
preProduto = float(input('Digite o preço do produto:'))
desconto = (preProduto * 6)/100
print('O produto descontado 6% ficará com esse preço {:.2f}'.format(preProduto - desconto))
|
import sys
from PyQt5 import QtCore, QtWidgets, QtGui
from PyQt5.QtWidgets import (QApplication, QWidget, QLabel, QVBoxLayout, QLineEdit, QPlainTextEdit, QStyleFactory, QTableWidget,
QAbstractItemView, QTableWidgetItem, QGridLayout, QPushButton, QCheckBox, QComboBox, QHeaderView, QGridLayout... |
# Generated by Django 2.2.4 on 2019-09-06 14:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('webapp', '0002_auto_20190906_1959'),
]
operations = [
migrations.AlterField(
model_name='bsc_chem',
name='name',
... |
#!/usr/bin/env python
''' encoding: utf-8
Copyright 2011 Red Hat, 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 requi... |
from PIL import Image
from skimage import color
from skimage.feature import hog
import collections
import datetime
import numpy as np
import pytest
from itertools import product
from pelops.features.hog import HOGFeatureProducer
def hog_features(img):
img = color.rgb2gray(np.array(img))
features = hog(img, or... |
def longestCommonPrefix(strs):
"""
Takes in a list of strings and returns the longest string all of them have in common
"""
first_character = strs[0][0]
output, compare_to = "", ""
for string in strs:
compare_to = string[0]
if compare_to == first_character:
return first_character + longestCommonPrefix([x[1:]... |
import os
import sys
ip = sys.argv[1]
username = sys.argv[2]
passwd = sys.argv[3]
remote_dir = sys.argv[4]
acct_id = sys.argv[5]
os.system('sshpass -p '+passwd + ' scp -o StrictHostKeyChecking=no ' +'/root/accounts/account_'+acct_id+'/data_extracted/retraining_data.csv '+ username+'@'+ip+':'+remote_dir)
|
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import pytest
from pants.backend.python.subsystems.debugpy import DebugPy
@pytest.fixture(autouse=True)
def debugpy_dont_wait_for_client(monkeypatch):
old_debugpy_get_args = DebugPy... |
def noonerize(numbers):
output = '{}{}'.format
if any(not isinstance(a, int) for a in numbers):
return 'invalid array'
b, c = (str(d) for d in numbers)
return abs(int(output(c[0], b[1:])) - int(output(b[0], c[1:])))
|
import torch
import torch.nn as nn
from distance.chamfer_distance import ChamferDistanceFunction
from distance.emd_module import emdFunction
class ChamferDistance(nn.Module):
def __init__(self):
super(ChamferDistance, self).__init__()
def forward(self, pcs1, pcs2):
"""
Args:
... |
# -----------------------------------------------------------------------------
# Copyright (c) 2014--, The Qiita Development Team.
#
# Distributed under the terms of the BSD 3-clause License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PIL import Image
import numpy as np
import os
import sys
import cv2
import time
import torch
import torchvision.transforms as transforms
import torchvision
from modeling.deeplab import DeepLab
sys.path.append('/opt/ros/melodic/lib/python2.7/dist-packages')
import ... |
# coding: utf-8
from NaoCreator.setting import Setting
Setting(nao_connected=True, debug=True, ip="192.168.0.1")
from NaoCreator.Tool.stop import normal_stop
from NaoQuest.wait_for import wait_for
from PlayerManager.player_manager import Player
Setting.naoFaceDetectionRecognition.enableRecognition(True)
Setting.naoF... |
"""
Django settings for vestblog project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
i... |
"""
4. Median of Two Sorted Arrays
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
You may assume nums1 and nums2 cannot be both empty.
Example 1:
nums1 = [1, 3]
nums2 = [2]
The median is 2.... |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import folium
#Import CSV file into DataFrame
world_rankings = pd.read_csv('World_University_Ranks_2020.csv')
print(world_rankings.head())
#change column data type
world_rankings['Percentage_Female'] = pd.to_numeric(world_ran... |
import numpy as np
def np2pcd(x, y, z, filename, rgb=False):
rgb_value=0.05
f=open(filename,'w')
f.write("# .PCD v0.7 - Point Cloud Data file format\n")
f.write("VERSION 0.7\n")
if (rgb==False):
f.write("FIELDS x y z\n")
f.write("SIZE 4 4 4\n")
f.write("TYPE F F F\n")
... |
import numpy as np
import matplotlib.pyplot as plt
import random
leafyFactor = .15
herbFactor = .5
predFactor = .7
leafyMat = np.full((10,10), 100)
herbMat = np.full((10,10), 50)
turn = 0
#max leafyPop = 100
leafyPop = 80
herbPop = 5
predPop = .5
def leafyGrowth():
leafyConc = leafyPop / 100
leafyInv = 1... |
#!/usr/bin/env python
# tau.yelo.at - views
# -*- coding: utf-8 -*-
import psutil
from flask import render_template
from . import app
@app.route("/")
def index():
divide_mb = 1000000
divide_gb = 1000000000
mem = psutil.virtual_memory()
disk = psutil.disk_usage('/')
cpu_percent_us... |
#!/usr/bin/env python
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np
#import pylab as pl
import numpy as np
import os
import struct
import argparse
import glob
import sys
import math
import Diffusion2D.unit_vec as uv
class Iter_Data:
def __in... |
from panda3d.core import NodePath, CardMaker, Vec4, Quat, Vec3, SamplerState, OmniBoundingVolume, BillboardEffect
from panda3d.core import CollisionBox, CollisionNode, CollisionTraverser, CollisionHandlerQueue, BitMask32, Point3
from panda3d.core import LPlane, LineSegs, AntialiasAttrib
from bsp.leveleditor import LEG... |
# -*- coding: utf-8 -*-
import re
from itertools import groupby, izip_longest
from operator import itemgetter
from collections import Counter
def find_middle_x(x1, x2):
cut_x1_i = x1.index('.')+11
cut_x2_i = x2.index('.')+11
cut_x1, prec_x1 = float(x1[:cut_x1_i]), x1[cut_x1_i:]
cut_x2, prec_x2 = float... |
from django.shortcuts import render
from django.http import HttpResponse
from .models import Destination
def index(request):
des1= Destination()
des1.desc= 'The city that never sleep'
des1.city='Marrakech'
des1.price=800
return render (request, 'index.html',{'des1':des1})
# Create your views ... |
import requests
from datetime import datetime
#Default - shows for Moscow
api_key = "3e61296365ff0da7ca77775d7fd89edb"
"""
test_url = 'http://api.openweathermap.org/data/2.5/weather?id=524901&APPID=' + api_key
resp = requests.get(test_url)
if resp.status_code in [200, 201]:
weather_data = resp.json()
print(... |
import abc
class FileDriverBase(abc.ABC):
def onLoad(self):
pass
@abc.abstractmethod
def read(self, filename, **kwargs):
pass
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.