index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
991,100 | 064366008192b23393525520a650a8d281a76419 | import tensorflow as tf
import pandas as pd
import numpy as np
import os
def train(filename):
y = tf.placeholder(tf.float32, [None, 10])
traindata = pd.read_csv(filename).values
imagedata = traindata[:, 1:]
imagedata = imagedata.astype(np.float)
imagedata = np.multiply(imagedata, 1.0 / 255)
ve... |
991,101 | 2959600e7e42ec212b4823afa144660fd07ebc3e | from torch.utils.data.dataset import Dataset
from data.image_folder import make_dataset
import os
from PIL import Image
from glob import glob as glob
import numpy as np
import random
import torch
class RegularDataset(Dataset):
def __init__(self, opt, augment):
self.opt = opt
self.root = opt.da... |
991,102 | 34381db099044011cf4d43f4cfa374b4420d624c | import parselmouth # https://parselmouth.readthedocs.io/en/stable/
from utils.syllabe_nuclei import speech_rate
from pathlib import Path
import os
import numpy as np
import json
path = Path("static/sounds/")
info_dict = {}
for file in os.listdir(path):
if file.startswith("0") or file[0].isupper():
prin... |
991,103 | 2930af02ce8cf5ad4186bd9a6724374a365072d6 | import ocdskingfisher.util
from tests.base import BaseTest
class TestDataBase(BaseTest):
def test_create_tables(self):
self.setup_main_database()
class TestUtil(BaseTest):
def test_database_get_hash_md5_for_data(self):
assert ocdskingfisher.util.get_hash_md5_for_data({'cats': 'many'}) == '... |
991,104 | 9ef2d58351e41decc892bc85af74304cec6660b9 | """
Introduction to the high-level contrib-learn API of TensorFlow using the Iris dataset.
Will Long
June 12, 2017
"""
import os
from urllib.request import urlopen
import tensorflow as tf
import numpy as np
IRIS_DIRECTORY = "iris_data/"
IRIS_TRAINING = "iris_training.csv"
IRIS_TRAINING_URL = "http://download.tensor... |
991,105 | c542b1c14705ee700506c46b519dd58b429a21c4 | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 5 15:29:40 2020
@author: YANGS
"""
import twstock
import requests
import time
def get_setting():
try:
res=[]
with open("stock.txt") as f:
lists=f.readlines()
print("讀入資料:",lists)
for lst in lists:
s... |
991,106 | af359a0152a22fd0f70ecd95bda992144d134cfe | '''Generates make file to generate the different plots
'''
from bact2.applib.bba import commons
from bact2.applib.transverse_lib.plots_makefile import main_func
def main():
pickle_file_name = commons.pickle_file_name()
main_func(makefile_name=commons.makefile_name(),
pickle_file_name=pickle_file... |
991,107 | 1c72c3eb62e85e50ec4c3beb7f7037307dc3a78d | """ Crie um programa que leia o nome completo de uma pessoa e mostre:
- O nome com todas as letras maiúsculas e minúsculas.
- Quantas letras ao todo (sem considerar espaços).
- Quantas letras tem o primeiro nome. """
name = str(input('Digite seu nome completo: ')).strip()
nameUpper = name.upper()
nameMin = name.lower... |
991,108 | 30a7b68e119b3be7df6d697f6f88665f8214708c | import socket
import time
import numpy as np
import struct
import atexit
class PushBot2(object):
def __init__(self, address, port=56000, message_delay=0.01):
self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.socket.connect((address, port))
self.socket.settimeout(0)
... |
991,109 | 890b869985f73ea270eb16721122911bfd1af3c5 | s=input()
l=int(input())
x=''
for i in range(len(s)):
if i%l==0:
x+=s[i]
print(x)
|
991,110 | 1bdc0edc387f7b786bbc6a4d6c40cbfb1226000c | # 3-05. 영상의 명암비 조절 (2)
import sys
import numpy as np
import cv2
src = cv2.imread('ref/Hawkes.jpg', cv2.IMREAD_GRAYSCALE)
if src is None:
print('Image load failed!')
sys.exit()
dst = cv2.normalize(src, None, 0, 255, cv2.NORM_MINMAX)
# 입력영상 src, 결과 dst None(무시), 알파(최소값) 0, 베타(최대값) 255, NORM_TYPE은 MINMAX(최소 최대... |
991,111 | 71cd9991bc92df19d030f95a52d7b1e1c1999c8a | import os
from pathlib import Path
# from doc_name import functuon
from FindLinks import findLinks, __make_soup
from CrawlParsedData import crawlLink
from Types import CountryName, EventTopic
countryList = [CountryName("United States", "united-states")]
topicInfoList = [EventTopic("ai", 2), EventTopic("technology", 2... |
991,112 | 84c692400092327be8d677f99f3e4be977c1f2a3 | # https://leetcode.com/problems/split-a-string-in-balanced-strings/submissions/
class Solution:
def balancedStringSplit(self, s: str) -> int:
L = 0
R = 0
output = 0
for i in s:
if i == "L":
L = L + 1
if i == "R":
R... |
991,113 | 2623b9374952761b056a470bb28cb453cd5c9c28 | # coding=utf-8
from __future__ import unicode_literals
import datetime
from selenium.webdriver import ActionChains
import time
import random
from helpers.waits import wait_until_extjs
class Plan(object):
def __init__(self, driver):
self.driver = driver
"""
@type driver: WebDriver
"... |
991,114 | e1c138ea539dc8364f62286c7a438d1e4d3efd10 | #!/usr/bin/env python
from math import sqrt
class Problem7(object):
def prime(self, element):
prime_counter = 0
number_to_test = 1
while prime_counter < element:
number_to_test += 1
if self.is_prime(number_to_test):
prime_counter += 1
return... |
991,115 | 0cc46b1e92b934bd8cebd9e8639ce963be82beb4 | """
Created on Mon Dec 3 18:52:44 2018
@author: simon
Project: FuturaeNetcom/4chan
"""
import ModelTraining
import Scraping
# main part of the programm
def main(bool_scraping):
if (bool_scraping):
scraping()
else:
learning()
return
# starts using ModelTraining.py
def learning():
M... |
991,116 | 33a48df20f610aab7660715a269310ca94ffc867 | import matplotlib
import os
from os import path
from os.path import isfile,join
import random
import torch
import torchvision
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.insert(1, '../utils')
sys.path.insert(1, '../datasets')
sys.path.insert(1, '../search')
import my_datasets as mdset
import ... |
991,117 | 1913095b72a41e491ae6cde2231f466123ca4924 | import gdata.photos.service
import gdata.media
import gdata.geo
import os
email = 'apirakb@gmail.com'
username = 'apirakb'
password = 'Spid#rman'
path = '/Users/apirakb/Pictures/Events'
check = True
# Prepare Google data
gd_client = gdata.photos.service.PhotosService()
gd_client.email = email
gd_client.password = pa... |
991,118 | 55edc1cec37bb820370e566a354a7964dd342c70 | from PIL import Image
#xa, xb = -1.773660804, -1.7736607983
#ya, yb = 0.0063128809733, 0.006312884305
xa, xb = -2, 2
ya, yb = -2, 2
imgx, imgy = 512, 512
maxIt = 256
one = Image.new("RGB", (imgx, imgy))
for y in range(imgy):
cy = y * (yb-ya)/(imgy-1) + ya
for x in range(imgx):
cx = x * (xb-xa)/(imgx-1) + xa
... |
991,119 | 160a3ab6a55bebe6aa4cb67679178282eeb77a9f | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... |
991,120 | 2f7c3e41f1175793825648b6616e4b8f13d47b94 | #!/usr/bin/python
import paramiko
import multiprocessing
import sys
def cmd(IPS,WAR,USER='wls81',PASSWORD='Paic#234'):
for IP in IPS:
s = paramiko.SSHClient()
s.set_missing_host_key_policy(paramiko.AutoAddPolicy())
s.connect(hostname=IP,username=USER,password=PASSWORD)
s.exec_co... |
991,121 | 2f4d4d388e2f819cff99145b327a57d1cf9adc6a | import sys
import os
import pygame
import glob
import random
SIZE = 640
pjas_namn = ("torn", "hast", "lopare", "drottning", "kung", "lopare", "hast", "torn")
vita, svarta = [], []
pjas_dict = {'v':vita, 's':svarta}
player_side = 'v'
bot1_side = 's'
is_legit = lambda x, y : 0<=x<8 and 0<=y<8
def get_rel_... |
991,122 | d47587fe7decc58900936d0816ed93f82423857c | import sys
import re
def apply_mask(mask, value):
set_ones_mask = int(''.join('0' if char in ('X', '0') else '1' for char in mask), 2)
set_zeros_mask = int(''.join('1' if char in ('X', '1') else '0' for char in mask), 2)
value |= set_ones_mask
value &= set_zeros_mask
return value
def test():
m... |
991,123 | ec9403b63fd35d7aff86e244a2caca66996d72d9 | import os
import cv2
import numpy
import requests
import time
from img_processing import get_list_file
def download(url='https://www.tncnonline.com.vn/usercontrols/QTTJpegImage.aspx', extension='jpg', directory='img_file/', max_img=1000):
if not directory.endswith('/'):
directory += '/'
for x in rang... |
991,124 | 712d9b9bbc318d0e988e09b9359b1e4c96ea0dbd | #! /usr/bin/python
#
# Vulnserver TRUN Command Buffer Overflow Exploit POC
# Created By : @Ice3man
# Email : Iceman12@protonmail.com
#
# Common Info :
# Launches Calculator on Opening.
# Server Listens on Port : 9999 ( Commonly And Default )
# Pretty Simple : Neither DEP or Stack Canary Used.
#
# C... |
991,125 | 331cabcc912b875487de2c3d1083e88c11cd2197 | import random
from typing import List, Dict
from GameLogic.Players.Players import Player
from GameLogic.SysConfig import SysConfig
from GameLogic.Orders import Sell
from GameLogic.AssetFundNetwork import Asset, Fund
class Attacker(Player):
def __init__(self, initial_portfolio: Dict[str, int], goals: List[str], a... |
991,126 | a25aa2a139c26f9f9c38d4d32c9c539338128273 | import json
import time
import logging
import os
from lxml import etree
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from... |
991,127 | 0960162ca2d403745fc46489e440c45cb5366b26 | import unittest
class Node(object):
def __init__(self, data=None, next=None):
self.data = data
self.next = next
def get_data(self):
return self.data
def get_next(self):
return self.next
def set_next(self, next):
self.next = next
def create_linked_list(arr):
... |
991,128 | 3e2207fb3cdb1c6ddc7d0783acdbc3b9341531e1 | #!/usr/bin/env python3
from socket import *
import sys
import signal
if (len(sys.argv) != 3):
print("Usage: receiver <file name> <timeout (ms)>")
sys.exit(0)
fileName = sys.argv[1]
timeout = int(sys.argv[2])
addr = ("0.0.0.0", 0)
receiverSocket = socket(AF_INET, SOCK_DGRAM)
receiverSocket.bind(addr)
print... |
991,129 | b12668f8d858a7569531327746240e548f4dc965 | #!/usr/bin/env python
with open('keys.txt') as my_file:
testsite_array = my_file.readlines()
thefile = open('test.txt', 'w')
for line in testsite_array:
print line;
thefile.write(str(int(line,16)))
thefile.write('\n\n')
|
991,130 | 0b6861c7340020c5d9a92bde55af1cfff33ddb49 | def cal_array_w_v_pair(w_v_pair, hight, now_weight, now_value,
limit, return_array):
# pythonの配列は参照渡しであるので、return_arrayに加えることで値が追加される
if hight < limit:
cal_array_w_v_pair(w_v_pair, hight + 1, now_weight, now_value,
limit, return_array)
now_weight... |
991,131 | c8b81b42fc6d859d48fbd3f21ea5b0475fafec63 | from my.utils.s3_1 import s3_iter
from sys import argv
########################################################################################################################
if len(argv) > 1:
prefix, = argv[1:]
else:
prefix = None
for x in s3_iter(prefix=prefix):
print(x.key)
########################... |
991,132 | f140a38c4aa97912fce0f3b6d3ae7f443553d9fb | from sanic import Sanic
Sanic.test_mode = True
|
991,133 | a4dae3c77c8b46a86bcc9b83651dcc3adbae934d | import socket, pickle
from _thread import *
host="10.250.86.32"
port=19382
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((host, port))
print(host, port)
s.listen(1)
def RecieveData (conn):
print(conn)
print("Data recieved : ")
x=conn.recv(1024)
print(x.decode())
x=x.decode()
while 1:
if not... |
991,134 | 29f6943aea66c04fe2793e31c2bd84e407b95bd2 | '''
Given the root of a binary tree, print its level-order traversal. For example:
1
/ \
2 3
/ \
4 5
The following tree should output 1, 2, 3, 4, 5.
'''
class Node:
def __init__(self, val, left=None, right=None):
self.val = val
self.left = left
self.right = right
def print_l... |
991,135 | 5450b2c0100610e142d06f04fa129284f8d0504e | # coding=utf-8
from rest_framework import serializers
from models import Cmd
class CmdSerializers(serializers.HyperlinkedModelSerializer):
class Meta:
model = Cmd
fields = ('id', 'name', 'cmd', 'status', 'result', 'url')
|
991,136 | ae15ab2b1c932609813a43a5b75d0c0c095faad1 |
import configparser
from matplotlib.patches import Ellipse
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
from scipy import stats
import seaborn as sns
from sklearn.decomposition import PCA
def process_config(config_file=''):
"""
by default looks for config file in the same ... |
991,137 | 0ee76a471dcfe4334222a81cf56ffa5a4d8f92df | ####
### Title: Chapter 12 Question 14
### Author: Spencer Riley
### Python Version: 3.5.3
####
# Import Stuff
from numpy import *
import matplotlib.pyplot as plt
import chaosmod as cm
from scipy.interpolate import interp1d
from matplotlib.ticker import MultipleLocator, FuncFormatter
# Main input parameters (any of t... |
991,138 | c10f5ced9089bb8858ab1daf56727b74df65fdb6 | import pygame
from pygame.locals import *
import time
import random
from pygame import gfxdraw
class Point(object):
""" creating point class, to determine location of all our stuff
"""
def __init__(self, screen_size, x, y):
self.x = x
self.y = y
def pos(self):
return self.x,... |
991,139 | e453e4cd1fd722d610d4eec9fd17413de9e1fd89 | import math
num=math.sqrt(16)
area=math.pi * radius ** 2
c = math.hypot(a,b) |
991,140 | f927fb59f40caa196ef22d217fc8ca5dcc93c0b2 | #!/usr/bin/python
#\file func_in_func2.py
#\brief certain python script
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
#\date Jan.31, 2018
class TTest(object):
def __init__(self):
self.x= 101
def Run(self):
def RunInRun1():
print 'x is',self.x
def RunInRun2(self):
prin... |
991,141 | b372ead839e59e3351b129d29eb20ddd1c1c0d2d | # Source: https://community.plot.ly/t/python-dash-examples-with-scattergeo/7018/2
# Source: https://plot.ly/python/scatter-plots-on-maps/
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/20... |
991,142 | 266f6ad35a6ae131072613aa9cb7a139d8f804d2 | import tkinter as tk
from _datetime import datetime
import yagmail
from tkinter import ttk
from tkinter import messagebox
import Colors as Col
import DataBaseOperation
Color = Col.ColoursMainWindow()
class MakeOrder:
def __init__(self, master, *args):
self.Make_Order = tk.Frame(master, bg=... |
991,143 | c7084f3ca6f554f58d4ca29bf7917a721ceadb96 | matrix = [[0, 1, 1, 2],
[0, 5, 0, 0],
[2, 0, 3, 3]]
result=zip(*matrix)
sum=0
for i in result:
for j in i:
if j == 0:
break
sum+=j
print sum |
991,144 | fc800dbd150b9a59171e64586957cf72aa9bda49 | import numpy as np
import matplotlib.pyplot as plt
def pause_plot():
fig, ax = plt.subplots(1, 1)
n = 1000
dx = 1/n
dt = 1/n
c = 0.4
x = np.arange(n)/n
u = np.zeros(n)
for i in range(n):
if i < n//10:
u[i + n // 2] = i/n
elif i < n//10 * 2:
u[i... |
991,145 | 9835f60ae3192a2b7198e626e7de1f1bc2dfb8c4 | #!/usr/bin/env python
#_*_ coding:utf-8 _*_
from selenium import webdriver
browser = webdriver.Firefox()
browser.get('http://localhost:8000')
assert 'Django' in browser.title
|
991,146 | ec76228a6ca56a1afb5a0c33f290f19e35d49220 | S, T = input().split()
A, B = map(int, input().split())
U = input()
print("{} {}".format(A - 1, B) if S == U else "{} {}".format(A, B - 1))
|
991,147 | 0d8fca966d285bdc51e54d428b13f69761400d76 | t = int(input())
while t > 0:
n = int(input())
arr = list(map(int,input().split()))
l = []
yol = arr[n-1]
l.append(yol)
for i in range(n-2,-1,-1):
if arr[i] >= yol:
l.append(arr[i])
yol = max(yol,arr[i])
l = l[::-1]
for i in range(len(l)):
print(l[i],e... |
991,148 | 7be3a49a0050ef86e7e373f9f0ae4a802d8282c1 | from keras.applications import inception_v3,imagenet_utils
from keras_retinanet import models
from keras_retinanet.utils.image import read_image_bgr, preprocess_image, resize_image
from keras_retinanet.utils.visualization import draw_box, draw_caption
from keras_retinanet.utils.colors import label_color
import cv2
imp... |
991,149 | 6d5850567bd31c683fb2ebbf41c6a19d8d8bea8b | Implement regular expression matching with support for '.' and '*'.
'.' Matches any single character.
'*' Matches zero or more of the preceding element.
The matching should cover the entire input string (not partial).
The function prototype should be:
bool isMatch(const char *s, const char *p)
Some examples:
isMatc... |
991,150 | 5493ed84a57455f985d28c80777bf9e2dc10db68 | import xml.etree.ElementTree as ET
import uuid
import httplib
import logging
import json
import urlparse
import boto.s3 as s3
import s3etag
import common
logger = logging.getLogger('httpxml_to_s3')
def httpxml_to_s3(http_url,
s3_url,
region='eu-west-1',
profile_n... |
991,151 | 90388ac07b0b5ebe99a1579516625c65005aa547 | from django import forms
from django.contrib.auth.models import User
from bootstrap_toolkit.widgets import BootstrapDateInput,BootstrapTextInput,BootstrapUneditableInput
class LoginForm(forms.Form):
username = forms.CharField(
required=True,
lable="用户名",
error_messages={'requirede':'请输入用户名'},
widget=for... |
991,152 | 42d097bcfcc71579410c20df639a6119182844ac | #emacs: -*- mode: python-mode; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
#ex: set sts=4 ts=4 sw=4 noet:
"""Functionality to ease generation of vbench reports
"""
__copyright__ = '2012-2013 Wes McKinney, Yaroslav Halchenko'
__license__ = 'MIT'
import os
from .analysis import ConsistentlyWorse
impo... |
991,153 | 023c892f00e17858e2733331e65de0d579abbf7d | #!/usr/bin/env python3
from mine import process, play
def assertEqual(x, y):
try:
assert x == y
except AssertionError:
print("{} != {}".format(x, y))
raise
def test1():
with open("13_mine_cart/test_input.txt", 'r') as f:
track = [[x for x in line if x!="\n"] for line in f]... |
991,154 | 35f0f78898b7a8a246c443847e82d2e12941eb9d | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
mullvad.py
Check if you're connected to Mullvad VPN
"""
import sys
import requests
import json
def main():
"""docstring for main"""
try:
r = requests.get('https://am.i.mullvad.net/json')
json_data = r.json()
if json_data['mullvad_exit_... |
991,155 | 91d20e32e547a9be94861b4fec07802836c7a9ca | from collections import Counter
class Check:
def __init__(self, dataset, cldf):
self.dataset = dataset
self.cldf = cldf
self.errors = []
def check(self):
pass
class CheckNotEmpty(Check):
"""Check if a given column in the CLDF file is all empty"""
... |
991,156 | 53e19f1aa65a2c4362b47bd9083d7f179d6cf53a | # ReactorTools.py
#
# Some tools for calculating the neutrino rate from a nuclear reactor.
#
# Adam Anderson
# 14 April 2016
# adama@fnal.gov
#
# Note: Convention on units:
# --all masses are in kg
# --all energies are in keV
import numpy as np
import scipy.interpolate as interp
import ROOT
def nuFlux(power, dis... |
991,157 | 9b762de425648c02f0606e2669034a475db28790 | import csv
import re
dir='/home/dgc7/ejersiciosLibros/pyaton/ejemplos/scrapin/zlibrari/descargarLIbros/descargarparte1/contraseñasYcorreos.txt'
data=open(dir,'r+')
usuario=[]
contraseña=[]
for i in range(0,200):
if i%2==0 :
usuario.append(data.readline())
if i%2 !=0:
contraseña.append(data.readl... |
991,158 | 5c6cd69805339080e5ae5d10df6cd631c56196bc |
from download_binary_lib import download_binary_libs, BinaryLibDescription
# Disclaimer: This script is called by qmake or CMake. It is not necessary to call it manually.
# Same as download_external_libs but only for qt.
download_binary_libs([BinaryLibDescription("qt", "qt.zip", "https://meshes.mailbase.info/libs/q... |
991,159 | e19c41e4fde0d7a1e53ec2a81af6eb796a2a33b4 | import re
import string
#applies a few simple regex rules to clean up the data
def proc(data):
for i,d in enumerate(data):
data[i]=re.sub("<.*?>"," ",data[i]) # remove html tags like : <br />
data[i]=re.sub("[0-9]+"," ",data[i]) # remove numbers
# we want to keep the sentence structure
#............... |
991,160 | 708580f1479d51743b16aee3a2caf3b00cdb29be | # source https://www.geeksforgeeks.org/python-program-for-quicksort/
def partition(arr, low, high):
i = (low-1) # index of smaller element
pivot = arr[high] # pivot
for j in range(low, high):
# If current element is smaller than or
# equal to pivot
if arr[j] <= pivot... |
991,161 | 20d25e6ded87a7c543186fe9695fba7328eaa701 | #!/usr/bin/python
import os
import subprocess
import time
class webServerInstance():
def __init__(self,port,currentDir):
self.port = port
self.currentDir = currentDir
self.process = None
def startProcess(self):
cmd = [self.currentDir+"/tax_assessor.py","--port=... |
991,162 | 57a655e1e0403c21703df78355d44776a7e9f49b | import spotipy
import sys
import spotipy.util as util
import webbrowser
import matplotlib.pyplot as plt
import simplejson as json
import pandas as pd
scope = 'user-top-read'
TopArtistList = []
TopArtistDict = []
ArtistCount = []
continueloop = True
if len(sys.argv) > 1:
username = sys.argv[1]
else:
print("Us... |
991,163 | 4964830b4ee747f35121ad327555b15c1ff9a7c9 | import json
import boto3
import uuid
import pymysql
import os
import hashlib
def lambda_handler(event, context):
# TODO implement
# print(event)
path = event.get("path")
items = json.loads(event.get("body"))
print(path, items)
mydb = pymysql.connect(
host= os.environ["hostname"],
... |
991,164 | dc74d218e84736bd87287fa3baf7bc0b06187b55 | from pessoa import Pessoa
p1 = Pessoa('Luiz', 44)
p2 = Pessoa('Otavio', 32)
p1.comer('nhoque')
p1.pararComer()
p1.pararComer()
p1.comer('banana')
|
991,165 | 06414b1d83f9fb3f4e619a2ea2d00bb4798a2184 | class Node:
def __init__(self):
self.level = None
self.gain = 0
self.value = None
self.split_attribute = None
self.cutting_point = None
self.leaf_value = None
self.children = None
self.most_popular_child = None
|
991,166 | e2155ff087b8d4d7823fd05f98b5f44eb58d7579 | def search(p,s):
if p in s:
return(1)
return(0) |
991,167 | e860c50b551b2b57b496351a849b3a41933b8ee8 | from django.db import models
from django.contrib.auth.models import User
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
sex = models.CharField(max_length=5, blank=False)
subdivision = models.CharField(max_length=30, blank=False)
birth_date = models.DateField(n... |
991,168 | 83fcb7517dc8f0aac695c7195fb428dcb22485a8 | import os
import gym
import numpy as np
from datetime import datetime
from stable_baselines3 import PPO
def load_render(folder, timesteps=1000, render=True):
''' Loads a previously trained agent and runs it,
generating a trace.
Each trace in 'traces' be a pair. Trace[0] will have an ordered
li... |
991,169 | 15fbeafd6998860876a4503f8fe194a9f68bd579 | # Reverse Strings
# The goal is to write a fn that takes a input(string) and returns the reversed strings
"""
Reverse the input string
Args:
our_string(string): String to be reversed
Returns:
string: The reversed string
"""
def string_reverser(string):
reversed_string = ''
for letter in ran... |
991,170 | c299ebba4f4c1d053949e8ded3bd6ccd21fa1efb | from kaiju import RobotGridCalib
from kaiju.utils import plotOne
import numpy
def test_gfaCollision(plot=False):
rg = RobotGridCalib()
for alphaAng in numpy.linspace(0, 360, 100): #[0, 60, 120, 180, 240, 300, 360]:
for r in rg.robotDict.values():
r.setAlphaBeta(alphaAng, 0)
# asse... |
991,171 | 139b32186dc719f9f5d32c995925328ca7bf37e6 | # -*- encoding: utf-8 -*-
"""
@File : 859-亲密字符串.py
@Time : 2023/08/03 14:46:30
@Author : TYUT ltf
@Version : v1.0
@Contact : 18235121656@163.com
@License : (C)Copyright 2020-2030, GNU General Public License
"""
# here put the import lib
"""
给你两个字符串 s 和 goal ，只要我们可以通过交换 s 中的两个字母得到与 goal 相等的结果，就返回 tru... |
991,172 | 02e17ef530c2feb1d016e36710ce8dbb3db9dd09 | #!/usr/bin/env python3
""" This file parses a histogram CSV file generated via get_utxo_histogram.py. """
import sys
import argparse
import pandas as pd
if __name__ == '__main__':
argparser = argparse.ArgumentParser()
argparser.add_argument('folder', type=str, help='Folder holding all snapshot chunks')
a... |
991,173 | fcccf1d3434081955ab2ab6f6a32d43056dd4f5a | for _ in range(int(input())):
n,d=map(int,input().split())
a=list(map(int,input().split()))
a.sort()
if a[-1]<=d:
print('YES')
elif a[0]+a[1]<=d:
print('YES')
else:print('NO') |
991,174 | dfb889458e93f94b9385aa559ae9d45cce68a974 | # -*- coding: utf-8 -*-
import pandas as pd
from PIL import Image, ImageMath, ImageStat
import numpy as np
import requests
import logging # Used to make streaming silent
import io
import json
from itertools import compress
import matplotlib.pyplot as plt
# Streams an image and calculate live stats from the image
... |
991,175 | 283004b13cc2e21911c81e83f776c8a3ec8f1051 | import pandas as pd
import numpy as np
from pprint import pprint
from time import time
from sklearn.linear_model import LogisticRegression
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import ac... |
991,176 | 25bc5ab782634e27dcb4022e1f8a0661bc310ea8 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2020/11/30 21:09
# @Author : Yong
# @Email : Yong_GJ@163.com
# @File : set_up.py
# @Software: PyCharm
# set_up()
# 如果在TestCase 类中包含了方法setUp() ，Python将先运行它，
# 再运行各个以test_打头的方法。
# set_up() 在此类中的作用
# 1、创建一个调查对象
# 2、创建一个答案列表
# 运行测试用例时，每完成一个单元测试，Python都打印一... |
991,177 | 37efbd2c17fd4ddf52d14c517605c062255d3aa0 | import unittest
from IsInSolution import IsIn
class TestIsInSolution(unittest.TestCase):
def test_IsIn(self):
"""
Test string1 is in string2
"""
string1 = "Hello"
string2 = "Hello World!"
result = IsIn(string1,string2)
# Test a list of whole numbers
... |
991,178 | 34cee1bb79aba70b540bf3f03d0c1c01223f180c | import asyncio
from http import HTTPStatus
from http.client import HTTPResponse
from pathlib import Path
from urllib.request import urlopen
from typing import Any, ContextManager, Optional, Union, Tuple, cast
from typing_extensions import Literal
import json
import socket
from threading import Thread
from queue import ... |
991,179 | 88afdb99029f7abfce9ddd4a13bf80d6f10541ae | from Models import ShopModel, db, shop_fields, RoomModel
from flask import Flask
from flask_restful import Api, Resource, reqparse, abort,fields, marshal_with
from flask_sqlalchemy import SQLAlchemy
Shop_Parser = reqparse.RequestParser()
Shop_Parser.add_argument("shop_id",type=int, help="Shop id", required=True)
Shop_... |
991,180 | 5cc8a32fea689d0f2de115f82e409483f2dfac19 | #!/usr/bin/env python
# encoding: utf-8
"""
3DCNN网络用于结节分类
"""
class 3DCNN(object):
def __init__(self):
print 123
def last(self):
|
991,181 | 0388bdde4f3c593c63b2c4f7383b8e236bed6bd8 | import sys
import asyncio
import random
from quic_version_detector import quic, net, cli
def dummy_version_packet() -> bytes:
"""Constructs a packet with a dummy version.
Such packet makes the server return "Version Negotation Packet".
Returns:
quic.Packet
"""
connection_id = bytes([rand... |
991,182 | ad4327ce9860c8d2de2015f087e9c181e277e214 |
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from WateringApp.Fachwerte.URI import URI
from WateringApp.config import DB_BASE_URI, DB_NAME, DB_USERNAME, DB_PASSWORD, SQLALCHEMY_DATABASE_URI
from WateringApp.extensions import db, metadata
# uri = URI(DB_BASE_URI, DB_NAME, DB_USERN... |
991,183 | ed752757eb5024eab737517477a3e7bcb832af39 | from setuptools import setup, find_packages
setup(
name="collaps-layout",
version="0.1",
packages=find_packages(),
install_requires=['d3-primeri>=0.1'],
entry_points = {
'kod.vizualizator':
['collaps_layout_kod=collaps_layout_vizualizator.collaps_kod.collaps_layout_kod:CollapsLa... |
991,184 | 0d2a2d3f10cded14500d2b5931a2377f4d7049e2 | '''
Question 2.1 Skeleton Code
Here you should implement and evaluate the k-NN classifier.
'''
import data
import numpy as np
# Import pyplot - plt.imshow is useful!
import matplotlib.pyplot as plt
from sklearn.model_selection import KFold
class KNearestNeighbor(object):
'''
K Nearest Neighbor classifier
... |
991,185 | af4f84e355de6ac64c8c6cd7146730ffb168ebbd | import flask as f
import sqlalchemy as s
from sqlalchemy.dialects import postgresql
from ..entities._entity import (
Base,
EntityMixin,
EntitySerializer,
NotNull,
generate_uuid,
)
class Context(Base, EntityMixin):
__tablename__ = "context"
id = NotNull(s.String(50), primary_key=True, defa... |
991,186 | f893bfbe7d2ded56f201afcafb0ae12c97ddcff7 | from itertools import product
import numpy as np
import geometry
import text
def try_merge_point_groups(img, point_groups):
bounds = list(reversed(img.img.shape[:2]))
point_groups = set(point_groups)
while True:
done = True
# iterate every pair of possible point groups
for grou... |
991,187 | de91182c00e0f4ec7d148649dbc646a3bca2c2b6 | import argparse
import asyncio
import logging
import time
from aiortc import RTCIceCandidate, RTCPeerConnection, RTCSessionDescription
from aiortc.contrib.signaling import BYE, add_signaling_arguments, create_signaling
def channel_log(channel, t, message):
print("channel(%s) %s %s" % (channel.label, t, message))... |
991,188 | f5fdf18b35161cb6a8568d35b7c3574bd18caff7 | # 3. 定义函数，判断二维数字列表中是否存在某个数字
# 输入：二维列表、11
# 输出：True
def is_exists(double_list,target):
for line in double_list:
if target in line:
return True
return False
double_list = [
[1,2,3,4],
[5,6,7,8],
[9,10,11,12],
[13,14,15,16]
]
print(is_exists(double_list,11)) |
991,189 | 5e8323ca2bdc93347fbcd6986635cb818aeb0292 | #导入unittest框架
import unittest
#导入测试用例，并实例化
from Unittest框架.testcases.完整的测试框架案例 import Test01
from Unittest框架.testcases.test04 import Test04
if __name__ == '__main__':
#实例化testsuite
suite = unittest.TestSuite()
#调用添加用例方法 Test02类 里的test001方法
suite.addTest(Test04("test001"))
#实例化TextTestRunner() 测试执行
... |
991,190 | 125331481c7a8727c7a739aa35d174a2a0d58517 | EVENTBRITEAPI = 'https://www.eventbriteapi.com/v3/users/me/events/' |
991,191 | 00661609cdc1541e190e5fddc10db254a12be291 | #Q5
x=list(map(int,input("Enter array x: ").split(" ")))
y=list(map(int,input("Enter array y: ").split(" ")))
z=list(map(lambda n1,n2: n1+n2,x,y))
print(z) |
991,192 | bd5f795c44c01cf8dab8220b1fe408f8d371aa97 | from tkinter import *
class Form:
def __init__(self, parent):
Label(parent, text='Введіть перше число', pady=10, width=30).pack()
self.entry1 = Entry(parent, width=25)
self.entry1.pack()
self.err1 = Label(parent, text='', fg='red')
self.err1.pack()
Label(parent, te... |
991,193 | 8c35db8cdc4ea3ad086520327cb5c75ffd4a8c5c | from django.contrib.auth import authenticate, login, logout
from dashboard.models import BusAndRoutes, BusRegistartion, CompanyStaff, CompanyInformation
from django.shortcuts import render,redirect
from django.urls import reverse
from django.http import HttpResponseRedirect
from django.contrib import messages
from dash... |
991,194 | f21e03fad871b120a3827cd0c8acfc8f9397b88e | myName = input("your name: ")
myAge = int(input("your age: "))
print("1. Hello World, my name is %s and I am %d years old." % (myName, myAge))
print("2. Hello World, my name is %s and I am %s years old." % (myName, myAge))
print("3. Hello World, my name is {} and I am {} years old.".format(myName, myAge))
print('4. He... |
991,195 | ce436f3ce06d94914d9535ac3502b79d567b254a | from PyQt5 import QtCore
from PyQt5.QtWidgets import *
from PyQt5 import QtGui
from GraphicalTailForm import *
from PyQt5.QtWidgets import QApplication, QDialog
import threading
class GraphicalTail(QtCore.QObject):
output = None
w = None
textWrittenSignal = QtCore.pyqtSignal(str)
def __init__(self) :
QtCore... |
991,196 | d5e68f7776bed3745334d87f270054151be3b21b | #!/usr/bin/env python
# coding=utf-8
##############################################################################
#
# pyxda.srxes X-ray Data Analysis Library
# (c) 2013 National Synchrotron Light Source II,
# Brookhaven National Laboratory, Upton, NY.
# All ... |
991,197 | 70824c1ef5fe45cca29e3aa00d7ad278ddee0291 | # 幂运算
print(2 ** 10)
# 地板除
print(3 // 2)
# 海象运算符 可在表达式内部为变量赋值
#a = [1,2,3]
#if(n := len(a)) > 2
# print("...")
# 位运算 异或 取反
a = 1
b = 1
c = a^b
print(c)
c = ~c
print(c) |
991,198 | 75ff50a27ffcde61a291e05ffa9ed16fa0780f5c | from django.shortcuts import render,redirect
from django.contrib.auth.models import User
from django.contrib import auth
def register(request):
if request.method=='POST':
if request.POST['pword']==request.POST['pword2']:
try:
user= User.objects.get(username = request.POST['use... |
991,199 | ee68e7f046548a64d52d8a2980a5a9341711f70e | from feedparser import parse
from PyQt4 import QtGui, QtCore, QtWebKit, uic
import sys, os, urllib.request, urllib.parse, urllib.error
from models import *
from pprint import pprint
from math import ceil
from pluginmgr import BookStore
from templite import Templite
import codecs
import urllib.parse
import time
# This ... |
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