text stringlengths 38 1.54M |
|---|
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
#recursive solution
class Solution:
def helper(self, node, in_order):
#traverse to the left most leaf
if ... |
# -*- coding: utf-8 -*-
import random
import math
import statistics
random.seed()
done = False
area_square = 4
needles = 1000
while (not done):
estimates = []
for i in range(100):
needles_in_circle = 0
needles_in_square = needles
for i in range(needles):
# ... |
"""
U-Net from https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/pix2pix
Changes :
- added init='glorot_uniform' to Convolution2D, Deconvolution2D
- changed the final layers to get a number of channels equal to number of classes
of a semantic segmentation problem.
Limitations:
- number of ... |
import numpy as np
# a=np.array([1,2,3])
# print(a)
#创建数组
ar1=np.array(range(10))
ar2=np.arange(10)
ar3=np.array([[1,2,3,5],['a','b','c']])
print(ar1)
print(ar2)
print(ar3)
#生成随机数，先生成数字，再生成形状
print(np.random.rand(10).reshape(2,5))
#创建数组arange类似range
print("="*30)
print(np.arange(10))
print(np.arange(10.0))
print(np.ar... |
# -*- coding:utf-8 -*-
from web_.spider_web_allLink import html_download
from web_.spider_web_allLink import html_parse
from web_.spider_web_allLink import link_manage
from web_.spider_web_allLink import results_print
class Spider_Main(object):
def __init__(self):
self.links = link_manage.LinkManager()
... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import numpy as np
import pandas as pd
train_dataset = pd.read_csv('../input/train.csv')
test_dataset = pd.read_csv('../input/test.csv')
# In[ ]:
train_dataset.describe()
# In[ ]:
train_dataset.info()
# In[ ]:
import matplotlib as plt
#Bar graph Surived Vs... |
# iterate through float
# ask user for float
item_name =("What is the item name? ")
error = "your item name got number in it"
has_errors = ""
# look at each character in float and if it number,complain
for letter in item_name:
if letter.isdigit()== True:
print(error)
has_errors = "yes"
... |
import scipy.io as sio
import numpy as np
from sklearn.metrics import accuracy_score
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
from sklearn import svm
from sklearn import tree
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.grid_search import GridSearchCV
fr... |
import RPi.GPIO as GPIO
import time
import numpy as np
import cv2
import datetime
import os
import glob
GPIO.setmode(GPIO.BOARD)
GPIO.setup(36,GPIO.OUT)
pwm = GPIO.PWM(36,50)
#opens completely
pwm.start(7.7)
time.sleep(0.5)
# # fully closes at 3.4% duty cycle
# pwm.ChangeDutyCycle(3.4)
# time.sleep(0.5)
os.system(... |
from django import forms
from .models import *
class CompeticionForm(forms.ModelForm):
class Meta:
model= Competicion
fields =['nombre', 'equipo', 'torneo','descripcion',]
class EquipoForm(forms.ModelForm):
class Meta:
model= Equipo
fields =['nombre', 'lugar_origen', 'ColorPrim... |
import numpy as np
import matplotlib.pyplot as plt
x = [1.0, 2.0, 4.0, 3.0, 5.0]
y = [1.0, 3.0, 3.0, 2.0, 5.0]
print ("X values:", x)
print ("Y values:", y)
avgx = sum(x)/len(x)
print ("x mean:", avgx)
avgy = sum(y)/len(y)
print ("y mean:", avgy)
slope = 0
bias = 0
for i in range(len(x)):
s... |
"""
python -m venv venv
cd ..
create a virtual environment
python -m venv
. web_server/bin/activate
pip list
deactivate
EXPORT FLASK_APP=server.py
EXPORT FLASK_ENV=development
flask run
pip freeze > requirements.txt # put current deps in a requirements.txt file captures in env
pythonanywhere
""" |
from django import forms
class SearchUser(forms.Form):
name1 = forms.CharField(
label='Username1',
error_messages={'required': 'Introdueix un usuari'},
widget=forms.TextInput(
attrs={
'class':'form-control form-control-lg',
'placeholder':'productes_capell'}
... |
from blog.extend.UrlsHelper import url
from blog import blog
from blog.views import views
blog.add_url_rule('/', view_func=views.index, methods=['GET', 'POST'])
blog.add_url_rule('/index', view_func=views.index, methods=['GET', 'POST'])
blog.add_url_rule('/<string:categoryname>/<string:month>/<int:page>',
... |
#!/usr/bin/env python
'''
twoprime: analysis of twoprime-seq data
'''
from ez_setup import use_setuptools
use_setuptools()
from setuptools import find_packages, setup
__version__ = '0.01a'
entry_points = """
[console_scripts]
twoprime-process-signals = twoprime.process_signals:main
"""
install_requires = ["genom... |
#!/usr/bin/python3
# Falsely assumes all months have 31 days
line = input().split()
month = line[1]
M = [ 'JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC' ]
assert month in M
days = -1 # days since 1 JAN
# add days in previous months:
days += 31 * M.index(month)
# add days in t... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
# THRESH_BINARY
# THRESH_BINARY_INV
# THRESH_MASK
# THRESH_OTSU
# THRESH_TOZERO
# THRESH_TOZERO_INV
# THRESH_TRIANGLE
# THRESH_TRUNC
img=cv2.imread('1.jpg',0)
ret,binThreshold=cv2.threshold(img, 168, 255, cv2.THRESH_TRUNC)
cv2.imshow("Binary",binThreshold)... |
import util
def display_board(board, player):
for elem in board:
for i in elem:
print(i, end='')
print('\n',end='')
print(f"health: {player['current_health']} armor: {player['base_armor']}")
def display_stats(player):
line_selected = 0
while True:
util.clear... |
__author__ = 'Rushil'
#0.123456789101112131415161718192021...
num_list = []
for i in range(1000000):
num_list += str(i)
m_list = ''.join(num_list)[1:]
print(len(m_list))
print(m_list[1])
n = 1
prod = 1
while n != 1000000:
prod *= int(m_list[n-1])
print(int(m_list[n-1]) , n)
n *= 10
... |
''' Implementation of realtional coherence my thesis
basically hardcoded to work on the output from Nitish's
model.
'''
from collections import defaultdict
from create_wned_tas import init_view, init_constituent, serialize_tas
from ccg_nlpy import core, local_pipeline
from ccg_nlpy.core import view
import numpy as np... |
from baseop import BaseOp
from funcs import has_parity, to_hex_digits, to_signed
from memory.memory import fetch_signed_byte
class OpRlca(BaseOp):
def __init__(self, processor):
BaseOp.__init__(self)
self.processor = processor
def execute(self, processor, memory, pc):
result = _rlc_va... |
from django.conf.urls import url
from education.views import ClassList, CreateStudent, CreateTeacher, UserClassList, sign_up_for_class
urlpatterns = [
url('^class_list/$', ClassList.as_view()),
url('^user_class_list/$', UserClassList.as_view()),
url('^create_student/$', CreateStudent.as_view()),
url('... |
#! -*- coding:utf-8 -*-
from django.shortcuts import render
from app_shop.models import Product, Catalog
def index(request):
latest_product_list = Product.objects.all().order_by('-name')#[:5]
latest_catalog_list = Catalog.objects.all().order_by('-name')#[:5]
context = {'latest_product_list': latest_product... |
import luigi
import os
import luigi.contrib.postgres
import json
from app.utils.helper import derive_current_timestamp
from app.helpers.subreddit_ingestion import SubredditIngestion
class IngestSubreddit(luigi.Task):
"""
Task to individually ingest the Subreddit data and store as separate output targets
... |
import numpy as np
import pandas as pd
class TranslatingCordinateSystem:
def __init__(self, r_a = None, v_a = None, a_a = None):
self.r_a = r_a
self.v_a = v_a
self.a_a = a_a
def translations(self):
r_b = self.r_a |
from googletrans import Translator
tr = Translator()
from telegram import Update, KeyboardButton, ReplyKeyboardMarkup
from telegram.ext import CallbackContext, Updater, ConversationHandler, CommandHandler, MessageHandler, Filters, \
CallbackQueryHandler
import globals
from database import Database
from datetime im... |
import numpy as np
# Numpy is an array processing library with support for n-dimensional arrays and a number of mathematical operations
# How numpy handles arrays of varying shapes is common to a lot of mathematical processing done in python,
# most relevantly TensorFlow.
# Suppose we have a list of numbers
l = []
fo... |
import random
from card import Card
values = list(Card.VALUES)
suits = list(Card.SUITS)
class Deck:
''' Deck of cards supporting common operations of shuffling and drawing. '''
def __init__(self):
self.cards = []
self.index = 0
for i in range(0, len(values)):
for j in ran... |
#
#Step 1 : Understand the problem statement
#step 2 : Write the Algorithm
#Step 3 : Decide the programming language
#Step 4 : Write the Program
#Step 5 : Test the Written Program
#program statement:
# accept number from user and return addition of digits in that number
################################... |
from django.shortcuts import render
from django.shortcuts import render, redirect, HttpResponse
from django.contrib import messages
from django.db.models import Count
from .models import User, Wish
from django.core.exceptions import ObjectDoesNotExist
import time
import re
import datetime
EMAIL_REGEX = re.compile(r'^[a... |
import StarLAB
StarLAB.version()
myStarLAB = StarLAB.Connect(IP="192.168.86.104")
tempdata = myStarLAB.atmos.getTempC()
print("Temperature", tempdata)
myStarLAB.enableRover()
run = myStarLAB.motors.setMotorPower(60,60)
|
import abc
from interfaces import Point3D
from typing import Sequence, Tuple
class Triangulator(abc.ABC):
@abc.abstractmethod
def __init__(self, file_paths):
pass
@abc.abstractmethod
def localize(self, known_points: Sequence[Tuple[Point3D, Point3D]], unkown_points: Sequence[Point3D]) ->Sequenc... |
#!/usr/bin/env python3
'''
Created on Jul 23, 2017
@author: Daniel Sela, Arnon Sela
Example parameters:
-e 10 --w-ref -c “J242117.88+355328.8” -f ../../../smu/dat/000901_sky0001_1a_match.datc ../../../smu/dat/000901_sky0001_1b_match.datc ../../../smu/dat/000901_sky0001_1c_match.datc ../../../smu/dat/000901_sky0... |
import requests
import json
import re
def get_greater_30(v_id):
url = "http://s.video.qq.com/get_playsource?id=" + v_id + "&type=4&range=1-10000&otype=json"
session = requests.session()
res = session.get(url).text
json_re = re.match("QZOutputJson=(.*)", res).groups()
if len(json_re):
json... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 expandtab number
"""
题目描述
给定一个会议时间安排的数组，每个会议时间都会包括开始和结束的时间 [[s1,e1],[s2,e2],…] (si < ei)，为避免会议冲突，同时要考虑充分利用会议室资源，请你计算至少需要多少间会议室，才能满足这些会议安排。
tag
贪心 堆
样例
1
2
输入: [[0, 30],[5, 10],[15, 20]]
输出: 2
http://shaocheng.me/2019/07/18/LeetCode-253-Meeti... |
#keras51_homework.py
import numpy as np
y = np.array([1,2,3,4,5,1,2,3,4,5])
y = np.array([0,1,2,3,4,0,1,2,3,4])
from keras.utils import np_utils
y = np_utils.to_categorical(y)
# y = y - 1
'''
print(y)
[[0. 1. 0. 0. 0. 0.]
[0. 0. 1. 0. 0. 0.]
[0. 0. 0. 1. 0. 0.]
[0. 0. 0. 0. 1. 0.]
[0. 0. 0. 0. 0. 1.]
... |
import gin
import pytest
import numpy.testing as npt
import tensorflow as tf
import math
def test_get_angles():
coordinates = tf.constant(
[
[0, 0, 0],
[0, 0, 1],
[0, 0, -1],
[0, 1, 0],
],
dtype=tf.float32)
angle_idxs = tf.constant(
... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-11-14 21:20
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('usuarioAdministrador', '0008_auto_20171113_1533'),
]
operations = [
migrations.Remo... |
#!/usr/bin/env python
# coding: utf-8
"""pRESTo
The program uses `curl` conventions when appropriate, but compatibility with
`curl` is not a priority.
Usage: presto-url.py [options] <url>
presto-url.py -h | --help
presto-url.py --version
Options:
-a Use authentication. It will use the default aut... |
from zope.interface import Interface
class IChildsDictLike(Interface):
def __getitem__(child_key):
"""Get the object traversal child object"""
|
import torch
import torch.nn as nn
import numpy as np
import cv2
from torch.nn import functional as F
from collections import OrderedDict
global glb_spatial_grad # dictionary saving gradient of intermediate feature
global glb_feature
global glb_c_grad
global img_index
# TODO: How about batch_size > 1 ???
def save... |
import torch
import numpy as np
import numbers
import random
class Compose(object):
def __init__(self, transforms):
self.transforms = transforms
def __call__(self, *img):
for t in self.transforms:
img = t(*img)
return img
class ToTensor(object):
def __call__(self, *i... |
class cal2:
def setdata(self, radius):
self.radius = radius
print("Radius Set Succesfully! ")
def area(self):
radius = self.radius
self.result = 3.14 * (radius**2)
def display(self):
self.area()
print(f"Area of A Circle with {self.radius} is: {self.result}")... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 24 10:44:44 2018
@author: Ian
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import transforms, datasets, models
import numpy as np
import matplotlib.pyplot as plt
if __name__ == "__main__":
#define model classes
clas... |
class Solution:
def subarraySum(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
dd, ss, count = {0:1}, 0, 0
for x in nums:
ss += x
c = dd.get(ss-k, None)
if c != None:
count += c
... |
''' 矩阵中的路径
题目：请设计一个函数，用来判断在一个矩阵中是否存在一条包含某字符串所有字符的路径。路径可以从矩阵中的任意一个
格子开始，每一步可以在矩阵中向左，向右，向上，向下移动一个格子。如果一条路径经过了矩阵中的某一个格子，则该路
径不能再进入该格子。 例如 a b c e s f c s a d e e 矩阵中包含一条字符串"bcced"的路径，但是矩阵中不包含
"abcb"路径，因为字符串的第一个字符b占据了矩阵中的第一行第二个格子之后，路径不能再次进入该格子。
'''
'''
思路：优化版回溯法
1.将matrix字符串模拟映射为一个字符矩阵(但并不实际创建一个矩阵)
2.取一个boolean[matrix.len... |
from experiments.classification import Classification
from dataloaders.fer_loader import FERDataset
from models.alex_net import AlexNet
import pickle
from scipy.misc import imread
from utils.face_detector import FRDetector
import matplotlib.pyplot as plt
if __name__ == '__main__':
# Training and saving
classi... |
import math
import collections
def getRoots(aNeigh):
def findRoot(aNode,aRoot):
while aNode != aRoot[aNode][0]:
aNode = aRoot[aNode][0]
return (aNode,aRoot[aNode][1])
myRoot = {}
for myNode in aNeigh.keys():
myRoot[myNode] = (myNode,0)
for myI in aNeigh:
for ... |
import json
import logging
from urllib.request import Request, urlopen
from django.utils.functional import cached_property
from reviewboard.admin.server import build_server_url
from rbintegrations.basechat.forms import BaseChatIntegrationConfigForm
from rbintegrations.basechat.integration import BaseChatIntegration
... |
"""
Script: util.py
===============
Description:
------------
utilities for dealing with data
Usage:
------
python preprocess.py -i $DATA_DIR -o data.df
##################
Jay Hack
jhack@stanford.edu
Fall 2014
##################
"""
import os
import pickle as pkl
import pandas as pd
def load_data(num_... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-09-19 14:36
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('df_shouye', '0012_pesticide'),
]
operations = [
... |
#!/usr/bin/env python3
import argparse
import csv
import datetime
import makegraph as mg
import numpy as np
import os
import random
import sys
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer
from tensorflow.python.keras import activations
from tensorflow.pyth... |
lista = []
n = int(input())
for i in range(0, n):
x, y = input().split(' ')
n1 = int(x)
n2 = int(y)
if n2 == 0:
lista.append('divisao impossivel')
else:
divisao = n1 / n2
lista.append(divisao)
for c in range(0, len(lista)):
print(lista[c])
|
#!/usr/bin/python
import datetime, os, sys
from pyasn1.codec.der import decoder
# $ sudo apt-get install python-crypto
sys.path = sys.path[1:] # removes script directory from aes.py search path
from Crypto.Cipher import AES # https://www.dlitz.net/software/pycrypto/api/current/Crypto.Cipher.AES-module.html
f... |
# Normalna klasa
# Przykład zastosowania
class Stack2:
def __init__(self):
self.items = []
def push(self, item):
self.items.append(item)
def pop(self):
return self.items.pop()
def __len__(self):
return len(self.items)
if __name__ == '__main__':
import example2
... |
import pandas as pd
import os
import warnings
warnings.filterwarnings('ignore')
from sklearn.tree import DecisionTreeClassifier, export_graphviz
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
import numpy as np
import ... |
#!/usr/bin/python
import re
import sys
import NER
import subprocess
a = NER.states()
b = NER.dupli()
c = NER.readFile()
args = []
args.insert(0,a)
args.insert(1,b)
args.insert(2,c)
file=open(sys.argv[1],'r')
input = file.read()
a = NER.find(input,'en',args)
#print a
|
from django.shortcuts import render, redirect
from .forms import NewReviewerForm, ReviewForm
from django.contrib import messages
from django.conf import settings
from django.http import HttpResponse
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import login as auth_login
from postapp... |
from clients import *
from contracts import *
from devices import *
from reports import *
from scans import *
from schedules import *
from vulnerabilities import *
|
# -*- coding: utf-8 -*-
__author__ = 'lufo'
import requests
import json
import os
import subprocess
from multiprocessing.dummy import Pool as ThreadPool
def face_detection(img_path):
"""
传入图片路径，判断图片中有没有人脸，使用YOLO
:return: 有返回True，没有返回False
"""
path = '/Users/lufo/Downloads/darknet/'
os.chdir(p... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import datetime
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='PKGame',
fields=[
('id', models... |
"""Define vanilla CNNs with torch backbones, mainly for patch classification."""
import numpy as np
import torch
import torchvision.models as torch_models
from torch import nn
from torchvision.models import WeightsEnum
from tiatoolbox.models.models_abc import ModelABC
from tiatoolbox.utils.misc import select_device
... |
import datetime
import time
from functools import wraps
import logging
logger = logging.getLogger(__name__)
def time_consumed(func):
@wraps(func)
def wrapper(*args, **kwargs):
start = time.time()
result = func(*args, **kwargs)
end = time.time()
elaps = str(datetime.timedelta(s... |
import jax
from jax import numpy as jnp, random
import sys
sys.path.append(".")
from survae.nn.nets import MLP
import survae
from flax import linen as nn
import numpy as np
from survae.transforms import Abs
from survae.distributions import Bernoulli
rng = random.PRNGKey(0)
rng, key = random.split(rng)
x = random.unifo... |
class A():
def test(self):
print("AAAAAAAAAAA")
class B(A):
pass
b = B()
b.test()# 这样写子类继承ＡＡＡＡＡＡＡ
class A():
def test(self):
print("AAAAAAAAAAA")
class B(A):
def test(self):
print("BBBBBBBBBBBB")
b = B()
b.test()#这样写子类执行ＢＢＢＢＢＢ
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import HttpResponse, HttpResponseRedirect
from django.template import loader
from .forms import ContactsForm
from django.shortcuts import render
from django.contrib import messages
from django.shortcuts import render
import logging
l... |
"""
Implement an autocomplete system. That is, given a query string s and
a set of all possible query strings, return all strings in the set that
have s as a prefix.
For example, given the query string de and the set of strings
[dog, deer, deal], return [deer, deal].
Hint: Try preprocessing the dictionary into a more... |
import FWCore.ParameterSet.Config as cms
from EventFilter.HcalRawToDigi.hcallaserhbhehffilter2012_cfi import *
hcallLaser2012Filter = cms.Sequence(hcallaserhbhehffilter2012)
|
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class MovieItem(scrapy.Item):
mname = scrapy.Field()
mdesc = scrapy.Field()
mimg = scrapy.Field()
mlink = scrapy.Field()
|
#! /usr/bin/env python
import sys
import random
import time
# data = sys.stdin.readlines()
nums = random.sample(xrange(10000), 10000)
def q_sort(nums, left, right):
i, j = left, right
pivot = int(nums[i] + nums[j]) / 2
while i < j:
while nums[i] < pivot:
i += 1
while nums[... |
# -*- coding: utf-8 -*-
#import unittest # 1. llamar libreria
#import probando # 2. llamar la clase a probar
# https://cgoldberg.github.io/python-unittest-tutorial/
# Todos los métodos que comiencen con el nombre test serán ejecutados.
# probando testing
#class TestUM(unittest.TestCase): # 3. heredar esto
# ... |
#!/usr/bin/env python
import logging
import signal
from tornado.ioloop import IOLoop
from client import BetelbotClientConnection
from config import JsonConfig
from topic import getTopics
from util import Client, signalHandler
def onTopicPublished(topic, data=None):
# Callback function that prints the name of t... |
import sys
import math
import datetime
#dirname =sys.argv[1]
subject=sys.argv[1]
tstart=sys.argv[2]
tstart=datetime.datetime.strptime(tstart,"%Y%m%d%H%M");
dirname='/srv/gsfs0/projects/ashley/common/device_validation/subject'+subject
walk=open(dirname+'/samsung_walk_'+subject+'.tsv','r').read().replace(' ','').s... |
import paramiko
from sshtunnel import SSHTunnelForwarder
import json
import io
import os
import sys
from base64 import b64decode
from sqlbag import S, load_sql_from_file, temporary_database as temporary_db, sql_from_folder, raw_execute, DB_ERROR_TUPLE
from migra import Migration
from contextlib import contextmanager
... |
##
## Lambda function to automatically remediate Evident signature: AWS:EC2 - default_vpc_check
##
## PROVIDED AS IS WITH NO WARRANTY OR GUARANTEES
## Copyright (c) 2016 Evident.io, Inc., All Rights Reserved
##
## ************************** !! W A R N I N G !! **************************
## * Deleting the de... |
base = 2
power = 1000
result = base**power
s = 0
for digit in str(result):
s += int(digit)
print(s) |
#This script will audit switchports to make sure access ports have portfast turned on.
#It will also output cmd files which are remediation scripts that can later be run against all devices.
from trigger.netdevices import NetDevices
from ciscoconfparse import CiscoConfParse
dataDir = '/var/data/network-backups/... |
#通过用户输入三角形的边长 ，来计算三角形的面积
a = float(input("请输入第一边的长度 : "))
b = float(input("请输入第二边的长度 : "))
c = float(input("请输入第三边的长度 : "))
#判断三条线是否能组成三角形
if a+b+c-max(a,b,c)>max(a,b,c):
#计算三角形的周长
p = (a + b + c)/2
#计算三角形面积 用了海伦公式
s = (p*(p-a)*(p-b)*(p-c))**0.5
print('三角形的面积是',s)
else:
print("上述三条边不满足构成三角形的条件... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2018 Intel Corporation
#
# 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
#
# Un... |
"""The 'Model' object will be used to configure and run a simulation for one islet. Instances are intended to be run in parallel and update a database file upon completion"""
import pickle
import configparser
import ast
import sys
import os
import sqlite3
import datetime
import numpy as np
import re
from matp... |
# Corrigido
print('Exercício 006')
print()
# Recebe um número real
n1 = float(input('Informe um número: '))
print()
# Bloco de cálculos com o valor informado
d = n1*2
t = n1*3
q = n1**0.5
# Fim dos cálculos
# Retorna o resultado dos cálculos
print('O dobro de {} é : {} \nO triplo de {} é: {} \nA raiz quadrada de {}... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
i... |
from django.conf.urls import url, include
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from rest_framework import routers
from places.apis_views import PlaceViewSet, GeoJsonViewSet
from vocabs import api_views
router = routers.DefaultRouter()
router.regi... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
import pymysql
from elasticsearch import Elasticsearch
from twisted.enterprise import adbapi
from tencentComment... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('twitter', '0026_auto_20160619_1941'),
]
operations = [
migrations.RemoveField(
model_name='tweet',
n... |
def isValidCommand(command):
command = command.lower()
parsed = command.split(" ")
if(parsed[0] == "eat"):
return True
if(parsed[0] == "examine"):
return True
def processCommand(command, area):
command = command.lower()
parsed = command.split(" ")
if(parsed[0] == "examine"):
print("This room contains: ");... |
DESKTOP = 'C:\\Users\\andre\\Desktop\\'
# File Locations
# ==================================================
# Generated through get_from_twitter
STREAM_DATA_TXT = DESKTOP + 'tweepy_output\\blizzard_stream_data.txt'
STREAM_DATAFRAME_CSV = DESKTOP + 'blizzard_stream_dataframe.csv' # UPDATE AFTER PROTOTYP... |
import json
from chargebee.model import Model
from chargebee import request
from chargebee import APIError
class Customer(Model):
class BillingAddress(Model):
fields = ["first_name", "last_name", "email", "company", "phone", "line1", "line2", "line3", "city", "state_code", "state", "country", "zip", "validat... |
# Ao testar sua solução, não se limite ao caso de exemplo.
e = float(input("numero de horas extras:"))
f = float(input("numero de faltas: "))
h = e-(1/4*f)
z = round(h,2)
print(e,"extras e",f,"de falta")
if(z > 400):
print("R$ 500.0")
else:
print("R$ 100.0")
|
import sys
sys.path.append('.')
from enum import Enum
from implementation.hash_table.hash_table import HashTable
class CollisionHandler(Enum):
LINEAR_PROBE = 1
QUADRATIC_PROBE = 2
DOUBLE_HASH = 3
"""
Hash Table implementation using Open Addressing as its collision handling technique
There are 3 available optio... |
Python 3.7.3 (v3.7.3:ef4ec6ed12, Mar 25 2019, 22:22:05) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> a = 12
>>> b = 33
>>> c = a + b
>>> type(a)
<class 'int'>
>>> type(b)
<class 'int'>
>>> c
45
>>> a = "hello"
>>> type(a)
<class 'str'>
>... |
# ML hw4 problem 3.
import numpy as np
import matplotlib.pyplot as plt
from sys import argv
def elu(arr):
return np.where(arr > 0, arr, np.exp(arr) - 1)
def make_layer(in_size, out_size):
w = np.random.normal(scale=0.5, size=(in_size, out_size))
b = np.random.normal(scale=0.5, size=out_size)
return (w, b)
def... |
upperBound=355000
start=2
selected=[]
for i in range(start,upperBound):
number=str(i)
tot=0
for digit in number:
tot+=(int(digit)**5)
if tot==i:
selected.append(i)
print(selected)
output=0
for i in selected:
output+=i
print(output) |
from datetime import datetime as dt
from django.contrib.syndication.feeds import Feed as RssFeed
from django.contrib.sites.models import Site
from django.contrib.auth.models import User
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.http import Http404
from django.te... |
class Array:
def __init__(self, capacity=10):
self._capacity = capacity
self._length = 0
self._array = self._make_array(capacity)
def _make_array(self, capacity):
self._capacity = capacity
return [None] * capacity
def append(self, ele):
if self._capacity == ... |
from .nystrom_attention import NystromAttention
from .nystromformer import Nystromformer
from .version import __version__
|
import sys
import yaml
if __name__ == "__main__":
sys.path.append("..")
sys.path.append("./Tensorflow/models/research")
from data.GUI.GUI import *
with open(r'config.yml') as file:
config = yaml.load(file, Loader=yaml.FullLoader)
config['loader']['image_size'] = (config['loader']['default_... |
import joblib
import numpy as np
import re
from multiprocessing import Pool
class ScikitClassifier:
"""
Adapted from https://nlpforhackers.io/training-ner-large-dataset/
"""
def __init__(self, word2vec=None, clf=None, search=None):
self.word2vec = word2vec
self.clf = clf
self.... |
"""
每行数据重复N次合并生成新文件
题目来源 http://www.bathome.net/thread-38017-2-1.html
依山居 0:54 2015/11/14
这个版本可以使用来处理实际数据。。。6百万行，大约17秒。。。
总结：几百万行数据真不算多。不需要逐行读取处理。python列表解析是个好东西~
使用重复列表中元素更好的方法 http://www.oschina.net/question/96078_2141454
python笔记_列表解析 http://www.jianshu.com/p/c635d3c798c2
"""
import time
start=time.time()
an=6
w... |
import uuid
import pandas
from alpha_vantage.timeseries import TimeSeries
from alpha_vantage.foreignexchange import ForeignExchange
from confluent_kafka import Producer, Consumer
from flask import jsonify
class AlphaKafka(object):
def __init__(self, host, ckey, csecret, akey):
self.host = host
se... |
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