index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
985,400 | e4684923aef4e6953771a7fd1eb8b1759b40f82a | import os #To find out what files we are using
import numpy as np
import cv2
filename = 'video.mp4'
frames_per_seconds = 30;
my_res = '720p'
def change_res(cap,width, height):
cap.set(3, width)
cap.set(4,height)
STD_DIMENSIONS = {
"480p": (680, 480),
"720p": (1280, 720),
"... |
985,401 | cd32651c6cecdc419533e377e44ad4a2aa4ec8cd | from .response_related_utils import *
from .response_related_utils import __all__ as response_all
from .vector_utils import *
from .vector_utils import __all__ as vector_all
__all__ = response_all + vector_all
|
985,402 | 0311608764e16d1d17c41d17f669eb2e45f7ddab | nested_list = [list(range(1,4)), list(range(4,7)), list(range(8,10))]
print(f'{nested_list =}')
print(f'{[[single_list for single_list in nested_list] for single_list in nested_list] =}')
print(f'{[["X" if num % 2 == 0 else "O" for num in range(1,4)] for num in range(1,4)] =}') |
985,403 | c7cdb24f635479bf0c24490965866a21520bb061 | # Program to determine square root of any given number
# Programmer: Mukul Dharwadkar
# Date: Apr 15 2020
# Python version 3
def get_number():
response = None
while response is None:
response = float(input("Please choose a number to find a square root of: "))
return response
def create_guess(inp):... |
985,404 | 8f92411cc26a028037a833757c486e5a78c17108 | from flask import Flask, render_template, request, url_for
from utils import get_prediction, preprocess
app = Flask(__name__)
@app.route('/', methods=['GET'])
def home():
return render_template('index.html')
@app.route('/predict', methods=['POST'])
def predict():
try:
if request.method == 'POST':
... |
985,405 | ae9752bade86a65f347b33ffbb5c871c68159652 | import math
#inputFile = open("test.txt", "r")
inputFile = open("A-small-attempt1.in","r")
output = open("Round1AAsmall.txt","w")
cases = int(inputFile.readline())
for case in range(1,cases+1):
r, p = map(int, inputFile.readline().strip().split(" "))
m = (r + 1) / 2.0
n = math.floor((0.25 * (m... |
985,406 | 5a100b392f50b9904204d08bbfe5af4c23b2af58 | '''
通过sqlite引擎，读取数据库数据
'''
import jieba
import pandas
import wordcloud
import json
from sqlalchemy import create_engine
path = '/Users/lawyzheng/Desktop/Code/'
# 连接数据库
engine = create_engine('sqlite:///' + path + 'spider.db')
df = pandas.read_sql('tb_toutiao_hot', con=engine, index_col='index')
# 获取文章abstract数据
abst... |
985,407 | 5ff249f8520a70dc07130e36a8020193404072eb | biggest=0
for i in range(999):
for j in range(999):
product = i*j
mystring = str(product)
if mystring==mystring[::-1]:
if product > biggest:
biggest = product
print biggest
|
985,408 | 2d82ddb4a635293e80d349c2b38b27951e04e590 | # https://www.acmicpc.net/problem/2851 문제 제목 : 슈퍼 마리오 , 언어 : Python, 날짜 : 2019-08-14, 결과 : 성공
import sys
total_num = 0
last_num = 0
mode = 0
for _ in range(10):
total_num += int(sys.stdin.readline())
if mode == 0 and abs(total_num-100) > abs(last_num-100):
mode=1
if mode==0:
last_num = tota... |
985,409 | 426f221847b24fa4b63984ee95b39e0f9efaf4fb | # Code adapted from Tensorflow Object Detection Framework
# https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
# Tensorflow Object Detection Detector
import numpy as np
import tensorflow as tf
import cv2
import time
class DetectorAPI:
def __init__(self, pat... |
985,410 | ca186385bd8da0661118def7d68ad478860b28eb | '''
Input: [-2,1,-3,4,-1,2,1,-5,4],
Output: 6
Explanation: [4,-1,2,1] has the largest sum = 6.
Contiguous subarray (containing at least one number)
For ex: [-2, 1], [-3,4,-1]
'''
# https://dev.to/13point5/maximum-subarray-3c5l
'''
Brute Force Method
def maxSubArray(nums):
# case SubArray Length = 1
ans = ... |
985,411 | 10a03547d26d9e1161d1728347a8a13b4aa2eb6d | class Solution:
def maximum69Number(self, num: int) -> int:
s = str(num)
if "6" not in s:
return num
else:
i = s.index("6")
return num + 3 * (10 ** (len(s) - i - 1))
if __name__ == "__main__":
print(Solution().maximum69Number(9669)) # 9969
print... |
985,412 | e23082acd24f78253cb82995ec563c764655c137 | # -*- coding: utf-8 -*-
"""
The :class:`Control` object is the central part of pyMolDyn.
It is responsible for initiating the calculation process and visualizing
the results.
It contains instances of :class:`core.calculation.calculation.Calculation` and
:class:`visualization.visualization.Visualization` and manages the... |
985,413 | e938e8642dec45bbfb3fbbde2a6951a368b66c29 | import pygame
from math import *
from random import *
import numpy as np
import sys
from time import time
from ctypes import *
gravity = cdll.LoadLibrary("fGravity.so")
calc = gravity.calcAndUpdate
calc.argtypes=[POINTER(c_float),c_int]
calc.restype=POINTER(c_float)
SCREEN_WIDTH, SCREEN_HEIGHT = 600,600
BG_COLOR = 150,... |
985,414 | e203856afc0123a7b3c410c72aaa9f4520bcc2a0 | #!/usr/bin/env python
# coding=utf-8
"""
Description
=====================
Main application file. Runs a program for deciding who has chores today and then emails them with their list.
Requirements
====================
Raspberry Pi with SENSE HAT
Joystick Functionality
============... |
985,415 | d7a080d522be62d0a45f6ee4a50dbeb2d69123f2 | from django.contrib import admin
from .models import UserCreateNews, CategoriesNews
# Register your models here.
admin.site.register(UserCreateNews)
admin.site.register(CategoriesNews)
|
985,416 | e1fa99065e6ee7ae15f2bfe51a9c3f019632fe84 | #! /usr/bin/env python
# Copyright (c) 2019 Uber Technologies, 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 required by a... |
985,417 | 7f4bdd42b2ecbc386b3078642b5004781c1e883a | #!/usr/bin/env python3
import time
import timeit
import gym
import ptan
import os
import sys
sys.path.append(os.getcwd())
from lib import common
import torch
import torch.nn as nn
# Results:
# Original sync, number=100, cuda=True, speed=7634.508 runs/s
# Original sync, number=1000, cuda=True, speed=8606.037 runs/s
... |
985,418 | cb5d0bfcc390f49c4a5d09e1ad7bc71ac0542411 | # Generated by Django 2.2.6 on 2019-12-02 18:20
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('project_core', '0088_organisation_mandatory_fields'),
]
operations = [
migrations.RenameField(
model_name='personposition',
... |
985,419 | 4d970a14bd2f7763b30dc87bb1cecc84607932e6 | import re
from pygments.lexer import RegexLexer, words
from pygments.token import *
class PCFLexer(RegexLexer):
name = 'PCF'
aliases = ['pcf']
filenames = ['*.pcf']
tokens = {
'root': [
(r'\d+', Number),
(words(('else','in','ifz','fun','fix','let','then'), suffix... |
985,420 | d661fb1049e11cbf456f1cd6878daf742a5103e5 | #%%
'Curve fitting input code'
'Uses the Lmfit module to fit the data'
from NewFitAll import NewFit # 1 Gaussian
from NewFitAll import NewFit2 # 2 Gaussians
from NewFitAll import NewFit3 # 3 Gaussians
from NewFitAll import NewFit4 # 4 Gaussians
from NewFitAll import NewFit5 # 5 Gaussians
from NewFitAll... |
985,421 | 29987e450cb0cd01f2a6ade2a7e214bfeb68baaf | from django.urls import path
from school.views import (
ClassroomListView, StudentListView,
TeacherListView, SubjectListView
)
urlpatterns = [
path('classrooms/', ClassroomListView.as_view(), name='classroom-list'),
path('students/', StudentListView.as_view(), name='student-list'),
path('teachers/', ... |
985,422 | 5b2168cfac5df9878c3d6b423d7a79f08d409de4 | def solution(n, computers):
answer = 0
network = [[] for _ in range(n)]
visited = [False] * n
for i in range(len(computers)):
for j in range(len(computers[0])):
if computers[i][j] == 1 and i != j:
network[i].append(j)
for i in range(n):
if df... |
985,423 | 06577e1e64aa7dbcb91b12d16f7bb46b2d50bab3 | import os
from collections import deque
import PIL.Image as Image
import erdos
from erdos import Message, ReadStream, Timestamp, WriteStream
import numpy as np
from pylot.perception.messages import LanesMessage
class PerfectLaneDetectionOperator(erdos.Operator):
"""Operator that uses the simulator to perfectl... |
985,424 | 6aff1fd9d68f9153ae403200d7fc8166ef036139 | ##==============================================================================
## Yining Song (20675284)
## CS 116 Spring 2017
## Assignment 01, Problem 2
##==============================================================================
import math
import check
## normal_distribution(x, mean, std_dev) p... |
985,425 | 3ccb9b83b1ca5536a4d440ce85184b10881b3991 | #!/usr/bin/python
#
#
# I saw these in some other protocol thing.. im assuming they're required
from lib.transports import *
from lib.bruters import *
global MASTER_DATAFLOW
SPIPE_VERSION1 = int(0x10000001)
SPIPE_VERSION2 = int(0x20000001)
SPIPE_VERSION3 = int(0x30000001)
SPIPE_VERSION4 = int(0x40000001)
KEY_PAC... |
985,426 | 9e936aab0cd7b4fa7ba2c635286a61e2595b0947 | #!/usr/bin/env python
#
# This script just takes the scan settings as command line args. You will need to hardcode your API keys and scanner name below.
# The way the script works is by kicking off a scan and waiting for the results to download them in '.nessus' format.
# If you launch with '&', it will put it into the... |
985,427 | eb1f34d86d836b08dffa439fc25754ebee2d7833 | # class Solution:
# def check(self, height, k):
# if k == 0 or max(height[0:k]) <= height[k]: return False
# if k == len(height) - 1 or max(height[k:]) <= height[k]: return False
# return True
# def trap(self, height):
# tot = 0
# n = len(height)
# if n == 0 or n... |
985,428 | 8b42cfcc91499a3f99c29245ae339f292b0e362e | def main():
import sys
import time
start=time.time()
K=int(sys.stdin.readline())
if K%2==0:
print(-1)
return
L=[7%K]
L2=[7%K]
if L[0]==0:
print(1)
return
idx=0
while True:
L2.append((L2[idx]*10)%K)
L.append((L[idx]+L2[idx+1])%K)
... |
985,429 | 084b3394533007fb147c2494dce47bdd3f81069b | """
all operations of api are in app.py file
"""
import json
import uuid
from aiohttp import web
from models import (
save_new_agent,
get_agent,
update_agent,
delete_agent,
add_system,
get_system,
delete_system,
)
class AgentMethods(web.View):
"""
ALL METHODS OF AGENT ARE IMPLEMENT... |
985,430 | 327736f07000a0aef9533a5d24ccfebbf705835d | import os
from paste import deploy
from oslo.config import cfg
from openstack.common import excutils
from openstack.common.gettextutils import _
from openstack.common import log as logging
import webob
import eventlet
import eventlet.wsgi
import greenlet
import socket
# Raise the default from 8192 to accommodate lar... |
985,431 | 685090be2915d6307c0d5225daebec3391f5e626 | import pickle
import pandas as pd
from resources.functions import print_with_time
import os
def extract_metrics(analysis_directory:str, level0_results_path:str, structured_results_path:str, ensemble_results_path:str, balanced_test_set_results:str=None):
metrics = ["w_fscore", "w_precision", "w_recall", "ma_fscore... |
985,432 | 174a7724281d340aff8ec5afc0ddf7e92c99798d | """
Polynomial Curve Fitting
Dataset - Univariate_Dataset.csv
Single variable input
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import random
from sklearn.model_selection import train_test_split,KFold
class polynomial_regression:
"""
A class used to cal... |
985,433 | a12fcb1b2dd8521ff3d0f547cc2997caa53bc783 | """mysite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... |
985,434 | 8d7566c7831cb056da4b429ffd980f014ffe4bae | from setuptools import find_packages
from setuptools import setup
setup(
name='pms',
version='1.0',
packages=find_packages(),
package_data={'pms': ['config/deep_model.yaml']},
include_package_data=True,
install_requires=["google-cloud-storage"]
)
|
985,435 | 1fce097dfdfe45e12bbff15cf6dd2f8cc85e3bba | ## TOPICS ##
'''
Hey, it's a CMS!
Title/slug/description will be used to create the list page at /topics/
Title/description will also be used to create the header on the detail page
at /topics/{{ slug }}/. The contents of an individual page should go inside
{{ template_name }}, which belongs in /templates/topics.
S... |
985,436 | e2cab9c536b95274594ad57290b790757e3d1096 | n1 = input()
n2 = input()
n3 = input()
print(f"{n1}{n2}{n3}") |
985,437 | c6233177ea0d1260db06a1f5d6719c8898f4c17c | default_app_config = 'datacenter.apps.DatacenterConfig' |
985,438 | 1eb195efe4cfcfc574f6215894e9ae4179e25850 | import socket as sk
def communicate(host, port, request):
s = sk.socket(sk.AF_INET, sk.SOCK_STREAM)
s.connect((host, port))
s.send(request)
response = s.recv(1024)
s.close()
return response
|
985,439 | 59bf5f3d545882c90bccadaabc4b45fa4b496867 | import unittest
from base import Base
from selenium.webdriver.common.by import By
class Homework3(Base):
def test_challenge2(self):
self.driver.get("https://www.doterra.com/US/en/product-education-blends")
oils = self.driver.find_elements(By.XPATH, "//*[@id=\"content\"]//a/span[@class=\"title\"]... |
985,440 | e4b53266fcd85758346484d464b5bd3365d3c162 | from .manage import app
|
985,441 | 8ab7755b97807128417bac4f094d911412b42748 | length=int(input("enter the length of rectangle:"))
breadth=int(input("enter the breadth of rectangle:"))
area=length*breadth
perimeter=2*(length+breadth)
print("/n area of rectangle is:%2d",%area)
print("/n perimeter of rectangle is:%2d" %perimeter)
|
985,442 | 9fa01a0fb87f28e09baf72824570ab1a0dd2853b | # -*- coding: utf-8 -*-
# @Time : 2020/4/21 16:18
# @python : python 3.7
# @Author : 水萍
# @File : 调整奇数位于偶数前面.py
# @Software: PyCharm
def exchange(nums):
i = 0
j = len(nums)-1
if len(nums) == 1:
return nums
if nums == []:
return nums
while i != j:
if nums[i] % 2 != 0:
i += 1
else:
if nums[j]... |
985,443 | 0f9fa44976d006eff7cf4a3ae2f6854cfb47ce60 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 11 16:44:47 2018
@author: nguyentran
IoTSE defines 3 types of entity:
IoTContent: represent a named IoT content, encapsulating ID, metadata, and content
Query: represent a named query, encapsulating query_ID, query_content (a dictionary)
... |
985,444 | 746c24da79f6137c4a1ffaff3a015be7c2af5600 | from rest_framework import serializers
from evaluador_peso import models as model_pesos
class PersonaSerializer(serializers.ModelSerializer):
class Meta:
model = model_pesos.Persona
fields = "__all__" |
985,445 | 0bc5f0e0545b298535898003d0f58088d781b143 | import tkinter as tk
from ui.captcha_ import Captcha
from ui.private_entry import PrivateEntry
from tkinter import messagebox
from tkinter import ttk
from ui.window import Window
from security.password_strength import PasswordStrength
import itertools
class MasterDialogBase(Window):
def __init__(self, parent, db... |
985,446 | afcc92a4eb91aabd934051d5b765425c77f02ab8 | # Zip
# This is our known way of combining a list
L1 = [1, 2, 3]
L2 = [3, 4, 5]
L3 = []
print('{}\n{}'.format(L1, L2))
for i in range(len(L1)): L3.append(L1[i] + L2[i])
print(L3)
# Here is the zip function, which combines the lists items, but in tuples
L4 = list(zip(L1, L2))
print(L4)
# Here is combining them like ... |
985,447 | 1040ab555209f0257aeb5e945a256b17f485376c | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 OpenStack LLC
#
# 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
... |
985,448 | f1788b07f39b8a58e1a5f69566aa08aa07953ead | # import asyncio
import logging
import traceback
import argparse
import subprocess
import sys
import schedule
from rpi2mqtt.config import Config
from rpi2mqtt.binary import *
from rpi2mqtt.temperature import *
from rpi2mqtt.ibeacon import Scanner
from rpi2mqtt.switch import Switch
from rpi2mqtt.thermostat import Hesti... |
985,449 | 16b68558d9f97e236a3f48478353ba1ae0a5c886 | print()
# The following block of code shows a nested dictionary containing data on three pet owners and their pet's information.
pets= {
'rover': {
'ownername': 'doug',
'pettype': 'dog',
'color': 'black',
},
'jessica': {
'ownername': 'danielle',
'pettype': 'rab... |
985,450 | 9a743839166573159779706ce2c82f28aed6eea2 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import wot.io
import wot.ot
def main(argv):
parser = wot.ot.OptimalTransportHelper.create_base_parser('Compute transport maps between pairs of time points')
parser.add_argument('--format', help=wot.commands.FORMAT_HELP, default='loom', choices=wot.commands.FORMA... |
985,451 | ff2c5c5883828a83d1fd3e35461cb5e799b828eb | import logging
__author__ = 'Eric'
if __name__ == "__main__":
logging.basicConfig(filename="Networking.log", level=logging.INFO) |
985,452 | 0341446572c31d3c120cbe47ca917d494a6e6f5a | # <<BEGIN-copyright>>
# Copyright (c) 2016, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
# Written by the LLNL Nuclear Data and Theory group
# (email: mattoon1@llnl.gov)
# LLNL-CODE-683960.
# All rights reserved.
#
# This file is part of the FUDGE package... |
985,453 | 84db940c7e24aef489410e745ec97e09c5daf78c | '''
-Medium-
*Bit*
A character in UTF8 can be from 1 to 4 bytes long, subjected to the following
rules:
For 1-byte character, the first bit is a 0, followed by its unicode code.
For n-bytes character, the first n-bits are all one's, the n+1 bit is 0,
followed by n-1 bytes with most significant 2 bits being 10.
Thi... |
985,454 | ccfe1d80e3735c313e9046eb76994709cb10c3e4 | import json
import os
from datetime import datetime
import sys
sys.path.append("../")
from causal_graphs.graph_visualization import visualize_graph
from causal_graphs.graph_export import load_graph
from causal_graphs.graph_real_world import load_graph_file
from causal_graphs.graph_definition import CausalDAG
from caus... |
985,455 | 058cdf51492156857a66df71fbb9b3a4c06c20dd |
def is_encoding(char):
return not ((char.isalpha()) | (char.isdigit()) | (char == ' ') | (char == '<') | (char == '>') | (char == '\r') | (char == '\n'))
def decode(message):
bin_string = get_binary(message)
split = [bin_string[8*i:8*(i+1)] for i in range(len(bin_string)//8)]
bytes = [int(i, 2) for i in split]
... |
985,456 | 9f453bfc6f960ab02713acdbd73c7f4e32be3a3e | numbers={"one","two","three","four","five","six"}
print("\nprint the original set")
print(numbers)
print("\nadding other numbers to the set")
numbers.add("seven")
print("\nprint the modified set")
print(numbers)
print(type(numbers))
print("looping through the set elements...")
for i in numbers:
print(i)
|
985,457 | 42508630be0a03dad234feafc7fbcba1bf9fb5d0 | import pyOcean_cpu as ocean
# Type casting applied to tensor objects
a = ocean.asTensor([1,2,3])
print(a)
b = ocean.int8(a)
print(b)
ocean.float(a, True)
print(a)
|
985,458 | 20779e26bc30bef5afb8703f9c575407301892ed | import sys
from PyQt5.QtWidgets import QMainWindow, QWidget, QPushButton, QLabel, QApplication, qApp, QHBoxLayout, QVBoxLayout
from PyQt5.QtGui import QPalette, QColor
from MainWindow import MainWindow
if __name__ == "__main__":
app = QApplication(sys.argv)
main_window = MainWindow()
qApp.setSt... |
985,459 | 19c1cdbc7fc8078fc0bed27568fa0acfd02f7be0 | # Generated by Django 3.1 on 2020-08-31 16:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('main', '0006_auto_20200831_0924'),
]
operations = [
migrations.AlterField(
model_name='maritalsta... |
985,460 | 56401e733e18c4e72b82c850c6c9244e14adeb3f | TOKEN = '1371826061:AAE2JwCB2R3f8wsGYI_ose5sCmo6GZNiuAU' #Токен бота
admin = 449261488 #Chat_id админа 1
db = 'db.db'
|
985,461 | 99c368323fdd674bd7c10df9496954c399eb21cf | import sys
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
from pyspark.sql import SparkSession, functions as sf, types, Row
spark = SparkSession.builder.appName('NYC TAXI').getOrCreate()
assert spark.version >= '2.3' # make sure we have Spark 2.3+
spark.sparkContext.setLogLevel('WARN')
sc = spark.spa... |
985,462 | 1e0fa7330c5ccf2351e436952a0bbfe465f9b1bc | for batch_idx, data in enumerate(data_loader): # Fetch graphs of one batch_size; e.g. 32 graphs
input_node_f_unsorted = data['input_node_f'].float() # Dim: BS * N_max * INF
raw_node_f_unsorted = data['raw_node_f'].float() # Dim: BS * N_max * NF
edge_f_unsorted = data['edge_f'].float() #... |
985,463 | a2b64528419b1111ff180157f318aaa5b90d9190 | """
Created on Sun Nov 19 16:35:26 2017
@author: Malte
"""
# Notes on a hierachical regression model (see http://twiecki.github.io/blog/2014/03/17/bayesian-glms-3/)
# for prediction of behavioral, cognitive and self-report data
import matplotlib.pyplot as plt
import numpy as np
import pymc3 as pm
import pandas as p... |
985,464 | 765a880eb989734ef2962e70091c1c3494128190 | """Tests for _sketches.py."""
import numpy as np
from numpy.testing import assert_, assert_equal
from scipy.linalg import clarkson_woodruff_transform
from scipy.linalg._sketches import cwt_matrix
from scipy.sparse import issparse, rand
from scipy.sparse.linalg import norm
class TestClarksonWoodruffTransform:
"""... |
985,465 | cdd0e8191c86cda0b84e69fca03ec699879fd5cf | from django.contrib import admin
from .models import *
class HorarioAdmin(admin.TabularInline):
model = Actividad
class ActividadAdmin(admin.ModelAdmin):
inlines = (HorarioAdmin,)
admin.site.register(Horario,ActividadAdmin) |
985,466 | e9e27d24dbefc052135fcec91feafb63ac13d2cb | nome = input()
salario = float(input())
vendas = float(input())
resultado = (vendas * 0.15) + salario
print("TOTAL = R$ %.2f" %resultado) |
985,467 | e7be459b73437dbab245bda45e8a57cb4ab86bf6 | import http.server
import socketserver
import webbrowser as web
from urllib.parse import urlparse
import serial
import time
alertMsg = bytearray([2,0,0,0])
path = "C:\\code\\GpioPlayground\\UsbReadWrite\\" # need trailing slash
class GetHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
p... |
985,468 | ae60d13758059235caa776f28278e8542fecbe53 | from import_export import resources
from libs.models import t_payment
from django.db.models import Count
from django.db import *
class DailyTransactions(resources.ModelResource):
class Meta:
model = t_payment
fields = ('purpose', 'currency', 'amount', 'commitment', 'timestamp') |
985,469 | 7cab02f81a48e8620dd5efb031e09405d624091e |
class Element:
"""
Класс - элемент односвязного списка.
Каждый экземпляр класса хранит:
- данные
- ссылку на следующий эл-т
"""
def __init__(self, value=None, next=None):
self._value = value
self._next = next
class LinkedList:
"""
Класс - односвязный спи... |
985,470 | b27300a5ab69a8c89976c8ed6b28b726939922af | import requests
import time
from bs4 import BeautifulSoup
url = 'https://bj.lianjia.com/ershoufang/'
page=('gp')
headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept':'text/html;q=0.9,*/*;q=0.8',
'Accept-Charset':'ISO-8859-1,utf-8;q=0.7... |
985,471 | f6b0910bc8a5af6a00be65dc1c964b23f9d141f8 | #!/usr/bin/env python
import time
import sys
import roslib
roslib.load_manifest("gesture_rec")
import rospy
import tf
import math
import scipy.stats
from numpy import dot
import matplotlib
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from std_msgs.msg import Header, String, Float32MultiArray
from tf... |
985,472 | bff14e7bacbc4a372659c410d12cbaceed704436 | # Generated by Django 3.1 on 2021-03-16 04:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('job', '0009_renderplan_admin_only'),
]
operations = [
migrations.AddField(
model_name='renderplan',
name='deadline_pri... |
985,473 | 6a76789a3df7ef37f25e5ef61e9aeb3e663f4dc3 | from flask import Flask, request, url_for, render_template, abort
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql import text
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////home/pi/flask/sqlitest/test.db'
db = SQLAlchemy(app)
class Student(db.Model):
id = db.Column(db.Intege... |
985,474 | e37a5c5e7cbab364e7b653255d7ac6418718cb91 | def rev(x):
x = x[::-1]
print(x)
x = raw_input()
rev(x)
|
985,475 | d7db1bac945402f886c88eca115a09fbea4e2752 | from optparse import OptionParser
parser = OptionParser()
parser.add_option("--xAxis", dest="xAxis", default='', type="string", action="store", help="[moniker:filname.zpkl for x-axis")
parser.add_option("--yAxis", dest="yAxis", default='', type="string", action="store", help="[moniker:filname.zpkl for y-axis]")
parser.... |
985,476 | 8e56fa74320eca3f0d667822cdc3a6474003f721 | from __future__ import absolute_import
import shutil
import os.path
from tempfile import mkdtemp
from celery import shared_task
from django.conf import settings
from django.core.mail import EmailMessage
from maja_newsletter.mailer import Mailer
from maja_newsletter.models import Newsletter
from maja_newsletter.util... |
985,477 | bb6ca5428dbfac9711b2d1cb5418b92d3fc4c6fe | print('Welcome to the Caesar Cipher, enter a sentence to be ciphered')
string = str(input()).lower()
print('And how many spaces you want to cipher it')
cipherconstant = int(input())
# string = "g fmnc wms bgblr rpylqjyrc gr zw fylb. rfyrq ufyr amknsrcpq ypc dmp. bmgle gr gl zw fylb gq glcddgagclr ylb rfyr'q ufw rfgq r... |
985,478 | b9a82f8af07bad907cb623b70a96dff46f0cf83d | from django.db import models
class CrudUser(models.Model):
name=models.CharField(max_length=200)
address=models.CharField(max_length=200)
phone=models.IntegerField()
def __str__(self):
return self.name
|
985,479 | 0617f7494a88575834f30f19f89bc9ef6c76a96f | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 29 21:38:12 2019
@author: crdea
"""
|
985,480 | 16121736eef6e49cf07d3bfbe45610fd8c260646 | from pszt_neural_network.neuron import Neuron
class Layer:
def __init__(self, type, number_of_inputs, number_of_neurons):
"""Create layer.
:param type: type of apply function, if 1 then activation function is sigmoid,
if 0 then activation function is linear
:param number_of_input... |
985,481 | 26a1c19ada359f907d0a5eb169222d707445cdc5 | import climate
import collections
import lmj.cubes
import lmj.plot
import matplotlib.colors
import numpy as np
import pandas as pd
COLORS = {
'marker00-r-head-back': '#9467bd',
'marker01-r-head-front': '#9467bd',
'marker02-l-head-front': '#9467bd',
'marker03-l-head-back': '#9467bd',
'marker07-r-sh... |
985,482 | ce886db663dd4715f70342b8d34150565832dd10 | import functools
import math
import operator
import os
import traceback
from datetime import datetime
from xml.etree import ElementTree
from pipeline.hpc.cmd import ExecutionError
from pipeline.hpc.logger import Logger
from pipeline.hpc.resource import IntegralDemand, ResourceSupply, FractionalDemand
from pipeline.hpc... |
985,483 | b8629abf6139035bccde9ed0b2459d8ebcaceac3 | """Representation of VOI Nearest Scooter Sensors."""
from datetime import timedelta
import logging
from geopy.distance import distance
import requests
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_BATTERY_LEVEL,
... |
985,484 | 1e2013984ed94e71f48fcd844d584585b5b3d59d | """
Parsing of C expressions.
"""
|
985,485 | 95de726eefdaa534d7f75fc46b7e543a73354612 | from sys import stdin
# Carlos Arboleda - ADA - Camilo Rocha
# Potentiometers.py hecho en clase
# Se utilizo la clase segmentation tree para poder hacer las operaciones y luego ir partiendo de a dos en dos y luego devolverme operando para arriba
# Se discutio con la clase y fue hecho en clase
class segtree(object):... |
985,486 | 9ec9e613d8070197d46b4568ed9bf341d2b91d46 | #coding:utf8
from __future__ import unicode_literals
from django.db import models
# Create your models here.
class Questions(models.Model):
class Meta():
verbose_name_plural = 'Вопросы от посетителей'
verbose_name = 'Вопросы от посетителей'
name=models.CharField(max_length=255,verbose_name=u'... |
985,487 | 60a7a5bc0648aac5dddfb36e5d071689e5b66730 | from fastai.vision import Path, ImageDataBunch, cnn_learner, get_transforms, imagenet_stats, models, error_rate
import numpy as np
path = Path('/usr/local/airflow/data/')
np.random.seed(42)
data = ImageDataBunch.from_folder(path, train=".", valid_pct=0.2,
ds_tfms=get_transforms(), size=224, num_workers=0).norm... |
985,488 | f5281884bcf267ca26c3d43d7e0aa9df645b0917 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
import time
ACCOUNT_EMAIL = "your-email"
ACCOUNT_PASSWORD = "your-password"
PHONE = "your-phone"
chrome_driver_path = "/Users/dorukhanuzun/chrome-driver/chromedriver"
driver = w... |
985,489 | b7a74d755e6ce41510001e6a8ee9d812b4184b75 | import options
import glob
import json
import os
import random
import sqlite3
import string
from base64 import b64decode, b64encode
from hashlib import blake2b
from Cryptodome.Cipher import AES
from Cryptodome.Random import get_random_bytes
from bismuthclient import bismuthutil
__version__ = '0.0.1'
config = options.... |
985,490 | cc76f341e1d3ca275d07296f68be5a18fe8b8477 | # Copyright 2021 Google LLC.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# 2... |
985,491 | 554c3aed5e2105c0b33fdc79b568e88a5449ff99 | class Solution:
def wiggleSort(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
if not nums:
return
less_equal = True
for i in range(len(nums) - 1):
if less_equal:
if nums[i] > nums[i... |
985,492 | ea44cee1bb396a3650ae83257a40d712aa604fe4 | import sys
import os
import csv
import mgmnet.ranRxn_nets as rn
import mgmnet.topo_measure as tm
ranRxn = rn.ranRxn()
topo = tm.topoMeasure()
# level
level = ranRxn.level[sys.argv[1]]
# group
group = ranRxn.group[sys.argv[2]]
# species
species = int(sys.argv[3])
system_name = '%s_%s'%(level, group)
dr = ''
for ds i... |
985,493 | e0f6c29b74ad6805e8ec8541b5b40805fe00a5b2 | # 1003474
# Alex W
import pytest
from present import sBoxLayer, pLayer, present_round, present_inv_round, genRoundKeys
class TestKey:
def test_one(self):
key1 = 0x00000000000000000000
keys = genRoundKeys(key1)
keysTest = {
0: 32,
1: 0,
2: 1383505805528... |
985,494 | a552ecf50adf2fbd3004bacc20c7781b5cdb4acc | from naoqi import ALProxy
Class FaceRecognition():
def __init__(self, ip, port):
self.ip = ip
self.port = port
# start speech recognition within a given time in sec, return reconized words
def speech_recognize(self, time):
with sr.Microphone() as source:
self.r.adjust... |
985,495 | 1e20d9545b8a796671c4c7a8d1523293746554a9 | import argparse
import os.path
import types
parser = argparse.ArgumentParser(description='File wrapper.')
parser.add_argument("-f", "--file", dest="filename", required=True, help="REQUIRED. input file")
parser.add_argument("-n", "--name", dest="cvarname", help="name of the generated C string variable")
options = par... |
985,496 | 01079f40a488f69f309499350c816ae54ce36bc0 | import pandas as pd
import numpy as np
import os
import dash_core_components as dcc
import dash_html_components as html
import dash_table
from datetime import datetime, timedelta
from urllib.request import urlopen
import json
import plotly.graph_objects as go
from dash.dependencies import Input, Output
import flask
fr... |
985,497 | c02583a2e94b81c328766391c8405ecdb93709e0 | import codecs
N = 150000
file = codecs.open("data/wiki-news-300d-1M.vec", "r", encoding='utf-8', errors='ignore')
file1 = codecs.open("data/wiki-short1.vec", "w", encoding='utf-8', errors='ignore')
ct = 0
for i in range(N):
try:
line = file.readline()
file1.write(line)
except:
print("Er... |
985,498 | 48d9d41de8eb1f1db64ae4046d1894c60e22ef8f | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# openpose_utils.py
import os
import json
import re
import numpy as np
from collections import Counter
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def read_openpose_json(openpose_output_dir, idx, is_debug=False):
if... |
985,499 | 4027344d12c5864376ca621aae3638fc1fc52938 | import cv2
import os
data_path = '../data'
#os.remove(data_path +'/.DS_Store')
image_paths = os.listdir(data_path)
print('image Paths=',image_paths)
face_recognizer = cv2.face.LBPHFaceRecognizer_create()
face_recognizer.read('modelo/modeloLBPHFace.xml')
cap = cv2.VideoCapture('../test2.mov')
face_classif = cv2.Casc... |
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