index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
10,800 | 4763e6940db1ad4d8032071bfd6a4528d59bdf41 | from .. import pyplot as plt
def plot_grid2d(grid, *args, ax=None, boundaries_on=False, **kwargs):
_, rows, cols = grid.shape
if ax is None:
ax = plt.gca()
if boundaries_on:
for i in range(rows):
ax.plot(*grid[:2, i, :], *args, **kwargs)
for i in range(cols):
... |
10,801 | 7d2c6b339bcb88f9da28454b76600ac8119cb619 |
### copied by hand all laws and ordos from https://www.legifrance.gouv.fr/liste/lois
### in "french law initial data.pages" and "french ordos initial data.pages"
### !!! for next scrapping just add new laws and ordos since last scrap
### copy everything in excel/google spreadsheets, sort alphabetically, delete extra ... |
10,802 | ab2efe6b0cd740b38910269f716ac2314f9cc970 | # _*_ coding: utf-8 _*_
# descrption: some small functions
import os
import cv2
from finger import *
# get all images path from a folder
def get_all_image(folder):
files = os.listdir(folder)
files_path = []
for i in files:
temp = folder + '/' + i
files_path.append(temp)
return files_pat... |
10,803 | e18d050df152f7e91111624b25eb71d209152850 | import tensorflow as tf
from tensorflow.keras.models import load_model, model_from_json
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('model', default='model')
parser.add_argument('--resume', '-r')
args = parser.parse_args()
if args.resume i... |
10,804 | a54cf8aecc3bca63f8c75aaaa1b0ff27f309f380 | # 647. Palindromic Substrings
# Medium
# Given a string, your task is to count how many palindromic substrings
# in this string.
# The substrings with different start indexes or end indexes are counted
# as different substrings even they consist of same characters.
# Example 1:
# Input: "abc"
# Output: 3
# Explanat... |
10,805 | c776b4ee78e2f45cf028436a2d1f706bc2efa073 | # -*- coding:utf-8 -*-
"""
复用浏览器
"""
from time import sleep
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
class TestDemo():
def setup(self):
option = Options()
option.debugger_address = '127.0.0.1:9222'
sel... |
10,806 | 96de1dd2fa80a9118d3cd22f0340264a66198d55 | TOKEN="TOKEN"
PREFIX="fjo "
DESCRIPTION="A fun discord bot."
OWNERS=[104933285506908160, 224895364480630784]
extensions = [
"jishaku",
"cogs.commands.utility",
"cogs.events.error_handler",
"cogs.commands.prose_edda"
]
|
10,807 | d7113822b9045b51c1e16aed70dc67faec52f3d2 | # coding=utf-8
import sys
import argparse
import time
import os
from helpers.ssh_manager import SSHManager
from vm_manager.models.environment import Environment
#
env = Environment()
vm_names = []
ssh = SSHManager()
# Step 1. Prepare vms
for image in env.get_images_list():
vm_name = env.get_vm_name_from_config(env... |
10,808 | 24279a007dfae71c2debe9511d8937a87b472ebb | # -*- coding: utf-8 -*
from sklearn.linear_model import LogisticRegression, LogisticRegressionCV
from sklearn.metrics import classification_report, accuracy_score
from sklearn.preprocessing import StandardScaler
from model.load_data import load_data, split_test_data
from sklearn.metrics import roc_auc_score
def LR(X_... |
10,809 | 94b2104c2199c60deffcc62ba8339c8f8f907b53 | from dolfin import *
import numpy as np
import scipy.sparse as sp
import scipy.interpolate
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.colors import BoundaryNorm
from matplotlib.ticker import MaxNLocator
from datetime import date
import os
import math
import sys
import h5py
impo... |
10,810 | b4bb96f2395f0e522724256837a81136974123b0 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Uninformed Search Algorithm
__author__ = "Gonzalo Chacaltana Buleje"
__email__ = "gchacaltanab@gmail.com"
from Node import Node
class UnniformedSearchAlgorithm(object):
def __init__(self, listNodes, searched):
self.listNodes = listNodes
self.searche... |
10,811 | fef95e5b425674268f5146b5b22e777fdcbcbec5 | class Solution:
def createTargetArray(self, nums, index):
i, res = 0, []
while i < len(index):
res.insert(index[i], nums[i])
i += 1
return res
if __name__ == '__main__':
nums = [0,1,2,3,4]
index = [0,1,2,2,1]
sol = Solution().createTar... |
10,812 | 139f8cdcb7a9e0730130800285a9908d3cffa3ab | import random
class Dices:
def __init__(self):
self.dice1 = 0
self.dice2 = 0
def roll(self):
self.dice1 = random.randint(1, 6)
self.dice2 = random.randint(1, 6)
x = (self.dice1, self.dice2)
return x
|
10,813 | ac6ed5e43342dbe0178c7a7443a6c6163517a2de | from meses_2021 import meses
#Horarios de salida : general = 5 de la tarde, viernes 4 de la tarde
general = 17
viernes = 16
datos_almacenados={}
print("*****Control de Horario*****")
print("")
mes_in = input("Indique el mes: ")
while True:
mes = meses(mes_in)
dia = input("Ingrese el dia (formato: dia 00)"... |
10,814 | 3ab6b4cef47371b680599211546245647e68d624 | import os
import PIL.Image
import time
from Tkinter import *
# =============================================Initialize Variables=============================================#
size = 256, 256 # Size of thumbnail image displayed
newValue = list((0, 0, 0))
convMask = 3
normalizer = 1
errorMessage = ""
previewBox = 0
c... |
10,815 | bf1293b005fc57cb9116e972342f909a39d63004 | import re;
from importlib.metadata import requires
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.db.models import Q, Prefetch
from .models import Project, Tag
from .utils import searchProjects, paginateProjects
f... |
10,816 | 081457ccf83814231237a64e7f9f94def27cde91 | #代理模式 Proxy
'''
为其他对象提供一种代理以控制这个对象的访问
适用性：
在需要比较通用复杂的对象指针代替简单的指针的时候，使用Proxy模式。
1.远程代理 为一个对象在不同的地址空间提供局部代表
2.虚代理 根据需要创建开销很大的对象
3.保护代理 控制对原始对象的访问。
4.智能指引 取代了简单的指针，它在访问对象时只需一些附加操作。
组成：
抽象角色：通过接口或抽象类声明真实角色的业务方法。
代理角色：实现抽象角色，是真实角色的代理，通过真实角色的业务逻辑方法
来实现抽象方法，并可以附件自己的操作。
真实角色：实现抽象角色，定义真实角色所要实现的业务逻辑，供代理角色调用。
'''
class Jurisd... |
10,817 | def90130940db577a708008753641bb09025d10d | # Question Link:- https://codeforces.com/contest/1430/problem/A
mex = 1005
save = [[] for i in range(mex)]
can = [False for i in range(mex)]
def init():
for i in range(mex//3+2):
for j in range(mex//5+2):
for k in range(mex//7+2):
val = i*3 + j*5+k*7
if val<=10... |
10,818 | b6cad51218d2b168570ebe444e43c0847f9da90c | # seleniumbase package
__version__ = "1.61.0"
|
10,819 | 91299e3b1ec77937b2810a1198b696c4f3793a20 | from scrapy import cmdline
#
# cmdline.execute('scrapy crawl Dmu'.split())
# cmdline.execute('scrapy crawl arts'.split())
cmdline.execute('scrapy crawl HarperAdams_g'.split())
# cmdline.execute('scrapy crawl Southampton'.split())
# cmdline.execute('scrapy crawl StAndrews_g'.split())
# cmdline.execute('scrapy crawl Hud'... |
10,820 | fd85289b6b40e72dcd59e270cd2d849cbd571b1c | #
# Definition for binary tree:
# class Tree(object):
# def __init__(self, x):
# self.value = x
# self.left = None
# self.right = None
'''
def restoreBinaryTree(inorder, preorder):
PO_0=preorder.pop(0) #preorder naught
IO_0=inorder.pop(0) #inorder naught
t=Tree(PO_0) #tree bottom root... |
10,821 | 393e481f8e21d2b3f4a36bb50dc48d330a7b8733 | import sys, os
from db.interface import *
from learning import interface
from analysis import graphutils
from learning import consolidateFeatures
from mlabwrap import mlab
import numpy as np
import datetime
LEARNING_ROOT="learning/"
FEATURES="features"
LABELS="ytrain"
def main(args):
db = args[0]
date1 = args[1]
d... |
10,822 | 3703a96e6dd3e199a9a2cbe2c92d961a095743e2 | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Checklist.name'
db.add_column(u'core_checklist', 'name',
... |
10,823 | 0bd126c5b7caee9b5c4c7746699bfba5ede9d0f5 | import numpy as np, omnical, aipy
import subprocess, datetime, os
from astropy.io import fits
import copy
import heracal
from scipy.io.idl import readsav
def unwrap(arr):
brr = np.unwrap(arr)
crr = []
for ii in range(1,brr.size): crr.append(brr[ii]-brr[ii-1])
crr = np.unwrap(crr)
nn = np.round(crr... |
10,824 | fd04968d347bf6a7ccf5efd19c93f38bf54db831 | class CascadeFaceDetectorConfig:
classifier_path = 'cascades/haarcascade_frontalface_default.xml'
scale_factor = 1.2
min_neighbors = 5
min_size = (20, 20)
class OpencvFaceDetectorConfig:
prototxt_path = 'models/deploy.prototxt.txt'
model_weights_path = 'models/res10_300x300_ssd_iter_140000.caf... |
10,825 | 7c36d46285274339814e0a709853aea2ecfabab9 | import pandas as pd
import numpy as np
from os import path
from sklearn.preprocessing import StandardScaler
from sklearn.cross_validation import KFold
from sklearn.metrics import silhouette_score
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.svm import SVC
from sklearn.ensemble... |
10,826 | b520bed919f3841a14721fdbf74567eea85293e1 | # Generated by Django 3.1.7 on 2021-02-23 13:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('audios', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='audioclass',
options={'verbose_name':... |
10,827 | b5a02d33e00c317e96f403f2029fc578253368b9 | #!/usr/bin/env python3
import wpilib
import wpilib.buttons
from wpilib import RobotDrive
import networktables
from robotpy_ext.common_drivers import navx
class MyRobot(wpilib.IterativeRobot):
'''Insert early definitions for Channels of Speed controls'''
# Channels for the wheels and motors
fro... |
10,828 | 9f33f05a4b5b9da95a0facd1000222dc450b42a9 | __author__ = 'Filip'
TURN_ON = 0
TURN_OFF = 1
TOGGLE = 3
with open('input.txt') as f:
lines = f.readlines()
lights = [[0 for x in range(1000)] for y in range(1000)]
for line in lines:
split_line = line.split(' ')
if 'turn' in line:
start_coord = split_line[2]
stop_coord = split_line[4]
... |
10,829 | 6294170ebab420501ef25d4fdafc661337d1ca2d | # # -*- coding:utf-8 -*-
# from splinter import Browser
# browser = Browser("firefox")
# browser.visit("http://google.com")
# browser.fill("q", "splinter - python acceptance testing for web applications")
# button = browser.find_by_name("btnG")
# button.click()
# assert browser.is_text_present("splinter.readthedocs.... |
10,830 | 10fa599628f66bd409ebcfd501fa9a23a3a1b99d | import sqlalchemy
from .db_session import SqlAlchemyBase
class Notice(SqlAlchemyBase):
__tablename__ = 'notices'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
name = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)
text = sqlalchemy.Column(sqlalchemy.Integer, n... |
10,831 | 53471d8f7241403eb3a041fd408387835fe90d4f | class Solution:
def findNthDigit(self, n: int) -> int:
k, l, cnt = 1, 1, 9
while n > cnt:
n -= cnt
k *= 10
l += 1
cnt = 9*k*l
n -= 1
q, r = n // l, n % l
k += q
return int(str(k)[r])
|
10,832 | 53d83c394a56200be0039622b3c166aa26719031 | class Aula:
def __init__(self, professor, quantidade, sala, disciplina, id=0):
self.id = id
self.professor = professor
self.quantidade = quantidade
self.sala = sala
self.disciplina = disciplina
|
10,833 | f99d89404cc802a76a20cde6d3ba2ae3ad2ca938 | # Generated by Django 3.2 on 2021-05-11 07:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0008_auto_20210510_1805'),
]
operations = [
migrations.AlterField(
model_name='route',
name='delivery',
... |
10,834 | 849b38a243a764d7a12cfe586f4f187624cca96d | import numpy as np
import h5py
# datafile = '/net/liuwenran/datasets/DEAP/experiment/ex3_cnn_face/finalExData_shuffled/test.h5'
# originFile = h5py.File(datafile,'r')
# keys = originFile.keys()
# originLabel = originFile[keys[2]].value
result = np.load('output/result_deap_seperate6w_savefirst.npy')
originLabel = np.l... |
10,835 | 56e46c61b7dc783cd9453cab6bcddefd6cf13746 | # coding:utf-8
'''
Created on Sep 26, 2013
@author: likaiguo.happy@gmail.com
'''
WRITE_LOG = True
STAR_LIST = [i / 2.0 for i in range(1, 11)]
# 评分相关全局变量
INDUSTRY_CATAGORY_LIST = [u'互联网/电子商务' , u'计算机软件', u'IT服务（系统/数据/维护）/多领域经营', u'通信/电信/网络设备', \
u'计算机硬件及网络设备' , u'通信/电信运营、增值服务', u'网络游戏', u... |
10,836 | 5a1279fbabe887f17d6030091714ce10c60c1752 | #!env python
import time
import numpy as np
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtOpenGL import *
from Bee.gui.base.delta import delta
from Bee.util import resources
from Bee.gui.base... |
10,837 | 0c0a3298259eb206d181dcd7c72eecb25c0e600f | import os
import discord
import requests
import json
from discord.ext import commands
from main_cog import main_cog
from music_cog import music_cog
bot = commands.Bot(command_prefix='/')
bot.remove_command('help')
bot.add_cog(main_cog(bot))
bot.add_cog(music_cog(bot))
token = os.getenv('TOKEN')
bot.run(token) |
10,838 | 4075f45482d512263bfb8c607c74559e35f591da | import discord
from discord.ext import commands
import os
import sys
import passwords as keys
client = commands.Bot(command_prefix = '!')
client.remove_command('help')
@client.event
async def on_ready():
servers = client.guilds
for server in servers:
for channel in server.text_channels:
... |
10,839 | 26be7335a42081fd516cbef552a02d99d7fad91d | import unittest
import math
from unittest import mock
from typing import Optional, Dict, Set, Any, Union
import sympy
from qupulse.parameter_scope import Scope, DictScope
from qupulse.utils.types import ChannelID
from qupulse.expressions import Expression, ExpressionScalar
from qupulse.pulses import ConstantPT, Funct... |
10,840 | ff82da4c6cf77fe9b5bc0c4569c4cd89bc8f982b | # -*- coding: utf-8 -*-
"""
@author: C. J. F. Delcourt
"""
#%% importing required packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# setting the working directory in which the excel files from
# Delcourt and Veraverbeke (2022) were saved
wdir = ""
# loading size-class-spe... |
10,841 | 46f387a0258ecfc0df9648b46604d668569e54e5 | import pytesseract as tess
tess.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
from PIL import Image
import cv2
import numpy as np
import pytesseract as tess
from PIL import Image
#output file
output=open('out.txt', 'w')
imgtext= Image.open('ocr2.png')
text=tess.image_to_string(imgtext)
o... |
10,842 | 6ecf255b90f2dbbaf93ba181bbe23591c019f89f | import scipy as sp
import numpy as np
from scipy import log,exp,sqrt,stats
s0=100 # Stock price today
x=100 # Strike price
barrier=150 # Barrier level
T=1 # Maturity in years
r=0.08 # Risk-free rate
sigma=0.3 # Annualized volatility
n_simulation = 1000 ... |
10,843 | 882cd84ee499ff0e10ccfacae057e9c0423a6701 | from unsup_vvs.network_training.tpu_old_dps.full_imagenet_input import ImageNetInput
from unsup_vvs.network_training.tpu_old_dps.rp_imagenet_input import RP_ImageNetInput
from unsup_vvs.network_training.tpu_old_dps.rp_pbrscenenet_input import PBRSceneNetDepthMltInput
from unsup_vvs.network_training.tpu_old_dps.col_imag... |
10,844 | c0d791e4888b59683013ec76d71665693fed722d | #script in Python 3.7
import numpy as np
import matplotlib.pyplot as plt
import math
# S = susceptible individuals
# I = infectious individuals
# β = infectious rate, controls the rate of spread which represents the probability of transmitting disease between a susceptible and an infectious individual
# γ = recovery r... |
10,845 | 57bbde84ead319e3ab1edcf9548f2934057d6172 | '''
URL handler functions.
'''
import asyncio
import logging;logging.basicConfig(level=logging.INFO)
from coroutine_web import get,post
from models import User,Blog,Comment
__author__='luibebetter'
@get('/')
async def index(request):
logging.info('hello')
users=await User.findwhere()
return {
'__templ... |
10,846 | 9486430f7f6ee00e352f6d5f192d86156a356d1e | import pygame
class label:
def __init__(self, posX, posY, text, fontSize):
self.posX = posX
self.posY = posY
self.text = text
self.fontSize = fontSize
def display(self, fenetre):
myfont = pygame.font.SysFont("bitstreamverasans", self.fontSize)
label = myfont.r... |
10,847 | 8057326fabd43ea2771007bf7b39ed087ca051b3 | print('='*20+' REAL PARA DÓLAR '+'='*20)
real = float(input('Quanto dinheiro você tem em reais:'))
dolar = real//4.15
print('Com R${:.2f} reais você pode comprar US${:.2f}! :D'.format(real,dolar))
|
10,848 | ed3dcf5949459b2d2683c6e00fe32173c172c5b9 | import os
config=1
base_dir='/data'
TRAIN_DATA_FOLDER_PATH = '/CORPUS/collection_2018/*.txt'
TOPICS_FOLDER_PATH='/CORPUS/topics/'
TRAIN_TWEETS_2018='/CORPUS/training_data_embeddings/train_data_2018.json'
STATS_SKIP_GRAM='/CORPUS/embeddings/word2vec/skip-gram/stats.txt'
SKIP_GRAM_VECTORS='/CORPUS/embeddings/word2vec/sk... |
10,849 | 051115cb4f92a9e2190a137f6f962f91b14a8c4b | # Generated by Django 3.1.7 on 2021-04-19 12:40
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shop', '0002_auto_20210419_1203'),
]
operations = [
migrations.AlterField(
model_name='product',
name='rating',
... |
10,850 | 9ca2d51106f1e0ba4336627b682a4a6804d3d780 |
from nose.plugins import Plugin
import warnings
import sys
import logging
log = logging.getLogger()
def import_item(name):
"""Import and return ``bar`` given the string ``foo.bar``.
Calling ``bar = import_item("foo.bar")`` is the functional equivalent of
executing the code ``from foo import bar``.
... |
10,851 | f5c2886a1db5a8dff6fe87414c4b8be1486a68da | import datetime
from django.db import models
from django.utils import timezone
# Create your models here.
class Issue(models.Model):
issue_title = models.CharField(max_length=200)
STATUS_LIST = (('Draft', 'Draft'),
('Ready to review', 'Ready to review'),
('Approved', 'App... |
10,852 | 71315a3c867bc0c386139cb2e2ada264b26bdaa8 | # -*- coding: utf-8 -*-
"""
opentelematicsapi
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
class Driver(object):
"""Implementation of the 'Driver' model.
TODO: type model description here.
Attributes:
id (string): The id of this Driver object
... |
10,853 | 37750bbb733b92c7e0da72e695b34c8130356b4d | money=int(input("小明身上有多少錢:"))
kind=int(input("販賣機有幾種飲料:"))
list1=[]
total=0
for i in range(kind):
price=int(input())
list1.append(price)
for i in range(kind):
if(money>=list1[i]):
total+=1
print(total) |
10,854 | 951162ce55c2729b6ec1a7667761d1074ad2ecc0 | import os
from lxml.cssselect import CSSSelector
from lxml import html
import utils
import unicodedata
import string
import re
def read_sentence(path):
with open(path, "r") as file:
doc = html.fromstring("".join(file.readlines()))
phrases = []
for el in doc.cssselect(".DocumentPage-content p"):
... |
10,855 | f6e4572f12ec6583ef0eb06fd4467796bbca8feb | import shutil, random, os
import zipfile
for foldername in os.listdir("./Data"):
data_source = f'./Data/{foldername}/'
testing_dir = f'./Testing/{foldername}/'
no_of_images = len(os.listdir(data_source))
testing_sample_size = int(no_of_images * 0.3)
images = random.sample(os.listdir(data_source),... |
10,856 | 7ba4d2eeb9c7244a7fd4a997a65c700af9b17299 | from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import Length, DataRequired
class SubmitForm(FlaskForm):
item_field = StringField('Item')
|
10,857 | f25006477f15e19100de67bde91c876b692eef1d | '''The MNIST dataset
'''
from decaf.layers.data import ndarraydata
import numpy as np
import os
class MNISTDataLayer(ndarraydata.NdarrayDataLayer):
NUM_TRAIN = 60000
NUM_TEST = 10000
IMAGE_DIM = (28,28)
def __init__(self, **kwargs):
"""Initialize the mnist dataset.
kwargs... |
10,858 | c28994b0232595fa99bf9b9d03778a6612ccd065 | from collections import namedtuple
Point = namedtuple('Point', 'x,y')
pt1 = Point(1, 2)
pt2 = Point(3, 4)
dot_product = (pt1.x * pt2.x) + (pt1.y * pt2.y)
print(dot_product)
Car = namedtuple('Car', 'Price Mileage Color Class')
xyz = Car(Price=100000, Mileage=30, Color='Red', Class='Y')
print(xyz.Color)
n = int(i... |
10,859 | 3254a9559c2dd2dc18dc2d11ac176a513c2f785f | """
题目描述
输入一个链表，按链表从尾到头的顺序返回一个ArrayList。
"""
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution1:
def printListFromTailToHead(self, listNode):
"""
暴力法，遍历链表的结点，把每个结点的元素值保存在一个list中，再按逆序返回该list
Note：python中逆序list可以通过列表切片完成list[... |
10,860 | 4e40288a1ae1dd00c32a3503f50aa12f6ab15be1 | import logging
import unittest
from unittest import mock
from pika.exceptions import AMQPConnectionError, NackError, UnroutableError
from sdc.rabbit import DurableExchangePublisher, ExchangePublisher, QueuePublisher
from sdc.rabbit.exceptions import PublishMessageError
from sdc.rabbit.test.test_data import test_data
... |
10,861 | c6cb57b7892c4db9ba6402271cd23ba3fbba4f41 | from django.contrib import admin
from .models import Key_Words
from .models import Entry_Linkpool
admin.site.register(Key_Words)
admin.site.register(Entry_Linkpool)
# Register your models here.
|
10,862 | 73d2cc2daa8b6e7e8f626a92c9c5b21200bea732 | """log_importeds table
Revision ID: 552caa2b2519
Revises:
Create Date: 2018-12-05 19:16:15.071723
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '552caa2b2519'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands aut... |
10,863 | 443619613a6007ee3fad4eba3ae5f9c60f5bd23f | """
Em python um módulo é lido como se fosse um script. Deste modo, sempre que
um módulo for importado será executado como um script. Por isso tomar cuidado
ao importar módulos.
Se o objetivo for criar um módulo que funcione como um script, sendo executando
diretamente, pode ser necessário utilizar __name__ == "__main... |
10,864 | 6f155a5fd253c8a8b8c6b7f17b3d00143af4c983 | #Irma Gómez Carmona, A01747743
#Menú con ciclos while para ejecutar las opciones
def seleccionarOpcion():
print("")
print("Misión 07. Ciclos While")
print("Autor: Irma Gómez Carmona ")
print("Matrícula: A01747743")
print("1. Calcular divisiones") # opciones
print("2. Encontrar el mayo... |
10,865 | 20ca751f5eec92f4d7b8e94c03c284a72168c6d0 | from django import forms
import inspect
from ...University.models import University, consignment,representativePush, representative
from ...account.models import User
class CreateUniversity(forms.ModelForm):
class Meta():
model = University
fields = '__all__'
class CreateRepr(forms.ModelForm):
... |
10,866 | f171b4ecb91994b93430f81f99fb8130482f31f4 | ''' Contains game server code '''
import logging
import socket
from gevent import Greenlet
from game.game import GameSession
class TelnetServer():
''' Listener handling for Telnet server, creates session greenlets '''
def __init__(self, host='', port=5555):
# IPv4 socket (socket.AF_INET), TCP (sock... |
10,867 | f96ecf16e551856c48c698f9ecb7b92cd515cf7d | from account.models import NewFeed
from django.core.exceptions import ObjectDoesNotExist
def newfeed_serialize(user):
try:
newfeed = user.newfeed
except ObjectDoesNotExist:
newfeed = NewFeed.objects.create(user = user)
return {
'isMinimizedFeed': newfeed.isMinimizedFeed
}
|
10,868 | 3ca46be5e5871ad590360dc1e3ba653a8ddf4d98 | ''' Type your code here. '''
string = input()
numbers = list(map(int, string.split()))
if len(numbers) > 9:
print('Too many inputs')
else:
print(numbers[len(numbers)//2])
|
10,869 | c37f40d2a207efd31a3faef04dd5bcc3f175c1cf | import matplotlib.pyplot as plt
import datetime
from sklearn.svm import SVR
from util.data_io import load_csv
def svr(df):
# Use only one feature
df_X = df.distance_from_central.values
df_X = df_X.reshape(len(df_X), 1)
svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0.1)
svr_lin = SVR(kernel='linear', ... |
10,870 | b1f601652877b42768c4326b478ef978aa72f5e4 | import gzip
import sys
import csv
if len( sys.argv ) != 2:
print "Usage: %s ACCESSIONFILE " % sys.argv[0]
sys.exit(1)
genomes = []
accessions = []
accession_file_name = sys.argv[1]
genome_db = {}
with gzip.GzipFile( './data/1000genomes_samples.csv.gz' ) as fobj:
reader = csv.reader( fobj )
genomes = ... |
10,871 | 781110f6180b093185028db2502fff90042064c6 | /Users/noah/anaconda3/lib/python3.7/linecache.py |
10,872 | 40026eb553c509a5b41a09496ebf25275e16bbfc | from alerts.modules.ef.m1_m2.vertedero_emergencia.base import VertederoEmergenciaController
from alerts.modules.utils import single_state_create
from alerts.modules.base_states import EVENT_STATES
from alerts.modules.event_types import DAILY_INSPECTION
from base.fields import StringEnum
class Controller(VertederoEmer... |
10,873 | 5150bac9a42949389f32d5c6b709ae24217f2d2f | import numpy as np
import os
import pandas as pd
from Bio.Seq import Seq
from Bio import SeqIO
try:
from StringIO import StringIO ## for Python 2
except ImportError:
from io import StringIO ## for Python 3
import uuid
from joblib import Parallel, delayed
import argparse
import matplotlib
matplotlib.use... |
10,874 | 7c427c41ca50e5ed19b35300731bf06ec4e67611 | # Tuple utilities for 2 int tuples
def tadd(a, b):
return (a[0] + b[0], a[1] + b[1])
def tsub(a, b):
return (a[0] - b[0], a[1] - b[1])
def tmul(a, b):
return (a[0] * b, a[1] * b)
def tdiv(a, b):
return (a[0] / b, a[1] / b)
|
10,875 | 2226b9ab8d866aef448d467e2fea973ad01427ed | import csv
import random
input_file = "raw_poem_quality_data.csv"
output_file = "qc_poem_quality_data.csv"
num_poems = 10
votes_per_poem = 11
random.seed(213)
### sample results from QC HIT
with open(input_file, 'w') as file:
writer = csv.writer(file, delimiter=',')
writer.writerow(['title', 'is_english... |
10,876 | a72b486161704375521f30fd7925330ca588286e | #!/usr/bin/env python
# coding: utf-8
import torch
import torch2trt
from torch2trt import TRTModule
import json
import trt_pose.coco
import trt_pose.models
import time
print("Loading topology...")
with open('human_pose.json', 'r') as f:
human_pose = json.load(f)
topology = trt_pose.coco.coco_category_to_topology(... |
10,877 | d90241c2ef75c92d7d406cb6c8bf54ca3294c978 | from django.shortcuts import render
# Create your views here.
from rest_framework import exceptions
from rest_framework.utils import json
from rest_framework.views import APIView
from rest_framework.serializers import ModelSerializer
from rest_framework.authentication import BaseAuthentication
from rest_framework.pagi... |
10,878 | adeb6fc44a5bd0e539fa56a25a219cf9f79bf314 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2017-18 Richard Hull and contributors
# See LICENSE.md for details.
"""
Display a TOTP code based on some stored secrets
"""
import time
import RPi.GPIO as GPIO
from luma.core.serial import spi
from luma.core.virtual import viewport
from luma.led_matrix.... |
10,879 | 22f1f519caa8b2e60e50dbafa9355fd402eb099b | import faulthandler; faulthandler.enable()
from config import imagenet_alexnet_config as config
import mxnet as mx
import argparse
import json
import os
ap = argparse.ArgumentParser()
ap.add_argument("-c", "--checkpoints", required=True, help="path to output checkpoint directory")
ap.add_argument("-p", "--prefix", req... |
10,880 | d1c1bf8eebe7eac1569b050f8a330ae2bcbf990e | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('discussion', '0010_auto_20150805_2052'),
]
operations = [
migrations.AlterField(
model_name='discussor',
... |
10,881 | 5b55a296c7ddcebf9518a910375e930e68e15f84 | """ MARKDOWN
---
YamlDesc: CONTENT-ARTICLE
Title: Python Pickle Serialization and De-Serialization
MetaDescription: Python Pickle Serialization and De-Serialization
MetaKeywords: Python Pickle Serialization and De-Serialization
Author: Sreelakshmi Radhakrishnan
ContentName: python-pickle-serialization
---
MARK... |
10,882 | 0c12fa5f3f93e2f89ad2f977a7bc4f0b6b14031c | import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import TensorDataset, DataLoader
import argparse
from tqdm import tqdm
import os
import numpy as np
from net.ae import AE, KMEANS
from net.va... |
10,883 | 975f263eed5ce5a9ac237e5367a1515f521da966 | import PySimpleGUI as sg
from searchEngine import SearchEngine
sg.theme("LightGrey3")
layout = [
[sg.Text("Enter your query"), sg.Input(key="IN"),sg.Button("search",bind_return_key=True,key="search")],
[sg.Output(size=(100,30))]]
def main():
searchEn = SearchEngine()
searchEn... |
10,884 | 5a4f10718debe93c385119a160150497f1447202 | from framework.Logger import Logger
from testsutes.base_testcase import BaseTestCase
from pageobject.login import Homepage
import time
logger=Logger(logger="testmanagercase").getlog()
class managerCase(BaseTestCase):
def test_manage(self):
homepage=Homepage(self.driver)
name=homepage.login("admin"... |
10,885 | 6c48a67f9514918cebdefa37f1542b2e8b024a03 | """
publish Python objects as various API formats
"""
import tornado.web
import datetime
import json
import csv
import xmlrpclib
class Output():
_format = "html"
JSON = 'json'
_ftype_map = {
'html' : 'text/html',
'xls' : 'application/excel',
'json' : 'text/html',
... |
10,886 | a10975b98d6f73dc981e6dea6216f4bbc3b753eb | pi = 2.
delta = 1.
i = 0
while delta > 0.00000000001:
i = i + 1
delta = abs(pi - pi * (4. * i ** 2. / (4. * i ** 2. - 1.)))
pi = pi * (4. * i ** 2. / (4. * i ** 2. - 1.))
print pi
|
10,887 | 52f80aef9c0f4e86f7e25657398f1dc4470080ac | #------------------------------
# functional_tests.test_lists.test_layout_and_styling
#------------------------------
# Author: TangJianwei
# Create: 2019-02-25
#------------------------------
from selenium.webdriver.common.keys import Keys
from .base_lists import ListsTest
class LayoutAndStylingTest(ListsTest):
... |
10,888 | 4f18d01b26b56023abd8198ef050331d2805b367 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Attention(nn.Module):
def __init__(self, query_size, context_size, hidden_size=None):
super(Attention, self).__init__()
if hidden_size is None:
self.hidden_size = context_size
self.W_q = nn.Linear(query_s... |
10,889 | 52be2d7f625412d134ae45785cea8562002e8505 | import cv2
cap = cv2.VideoCapture(0) #this is webcam
while cap.isOpened():
ret , back = cap.read()
# back is what the camera is reading and ret is bascially that if a bool like whatever u r reading is successful/not
if ret :
cv2.imshow("image",back)
if cv2.waitKey(10) == ord('q'):
... |
10,890 | f0e4594080481ea9cd10d1049864c1caff69facd | #!/usr/bin/env python
from transitions import Machine
from src.modes import Inactive, RTD, Autospray
import rospy
from agrodrone.srv import SetCompanionMode
from agrodrone.msg import CompanionMode
DEFAULT_MODE_PUBLISH_RATE = 1
class Modes(Machine):
"""
This class holds all the modes and also functions as a s... |
10,891 | b31c9db61ce58da20e3f6aca3b3a36d48b1cffb1 | from . import db
class PostModel(db.Model):
__tablename__ = "posts"
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String, nullable=False)
content = db.Column(db.Text, nullable=False)
user_id = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=False)
|
10,892 | 65c3bdab8e21ed881f34248f1985f1cb9c3b6ef4 | from PIL import Image
def main():
image = Image.open("eliza.jpg")
# image.show()
my_pixel = Pixel((40, 100, 254))
print(my_pixel)
print("R component:", my_pixel.r)
print("RGB tuple:", my_pixel.get_tuple())
# my_pixel.set_rgb(255, 255, 0)
# print("RGB tuple after changing it:"... |
10,893 | de669fdb077f7b04ceeb81a15d11c6195e73519a | '''
-Medium-
*Math*
*GCD*
*Binary Search*
Write a program to find the n-th ugly number.
Ugly numbers are positive integers which are divisible by a or b or c.
Example 1:
Input: n = 3, a = 2, b = 3, c = 5
Output: 4
Explanation: The ugly numbers are 2, 3, 4, 5, 6, 8, 9, 10... The 3rd is 4.
Example 2:
Input: n = ... |
10,894 | 94249c16b35cc12105202be06b30c3925f5a8409 | #
# @lc app=leetcode id=110 lang=python3
#
# [110] Balanced Binary Tree
#
# @lc code=start
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def isBalanced(self, root: TreeNode) -> bool:... |
10,895 | aa8b7a846cb3261f2a5d5e8a48c49a89868ce6c9 | """
Copyright (C) 2020 Piek Solutions 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.
... |
10,896 | aa4bfd8f63df8690c7507234be5de1e61516a5ee | import sys
import random
# Gen sınıfı
class gen:
sample=None
fitness=None
def __init__(self,sample_value,fitness_value):
self.sample=sample_value
self.fitness=fitness_value
# Fonksiyonu tanımla
def calculate_fitness(value):
function=15*value-value*value
return function
def generat... |
10,897 | ddd7a2de462086904ea33d207db4ddfe97a5f090 | import random
import sys
import time
def _simulate(n, p):
return len([1 for _ in range(n) if random.random() < p])
def main():
p = 0
sim = "--simulate" in sys.argv
args = [e for e in sys.argv if e != "--simulate"]
if len(args) > 1:
N = int(args[1])
else:
N = random.randint(5,... |
10,898 | b668874db5535af924577f8abae3623385287b59 | def f(x):
from math import sqrt
return sqrt(1-x**2)
import matplotlib.pyplot as plt
import time
x, dx = -0.5, 0.1
X, Y, Points = [], [], []
while x <= 0.5:
y = f(x)
point = (x, y)
X.append(x)
Y.append(y)
Points.append(point)
x += dx
plt.plot(X, Y, 'y')
plt.grid()
#plt.show()
pl... |
10,899 | dc9fed3b80188ff3e257deae452721d973b7a4b7 | """Various non-core functions."""
import tensorflow as tf
import numpy as np
import pdb
import constants
####################
### THRESHOLDING ###
####################
def get_threshold_mask(hparams, x):
"""Threshold the mixtures to 1 or 0 for each TF bin.
Input:
X_mixtures: B x T x F
Output:
X_mixtur... |
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