index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
5,900 | 33b6a4c76079ed698809b29772abb59a34831472 | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User, Group
# Create your models here.
def default_expiration():
return timezone.now() + timezone.timedelta(days=10)
class Category(models.Model):
name = models.CharField(max_length=200)
description = ... |
5,901 | 3fdb29797894737edae37ad7890e14cb9ce705e8 | import pygame
naytto = pygame.display.set_mode((740, 500))
pygame.display.set_caption("Piirtäminen")
x = 100
y = 300
def main():
while True:
tapahtuma = pygame.event.poll()
if tapahtuma.type == pygame.QUIT:
break
naytto.fill((0, 0, 0))
pygame.draw.line(naytto, (0, 0, ... |
5,902 | 42021b762737a2eb21866ba029ece4ac120152cd | class Solution(object):
def countSmaller(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
naive -- o(n^2)
"""
## StefanPochmann solution #2
def countSmaller(self, nums):
def sort(enum):
half = len(enum) / 2
if half:
left = sort(enum... |
5,903 | ff924b803a875d3f6201baa2c1251a6c5b8cde61 | from django.http import request
from restapp.ExcelSheet import *
'''ApiHomeDict={}
class LoadDict():
e = ExcelSheetAll()
ApiHomeDict = e.apiHomeDict()
print ApiHomeDict
class ReturnApi:
def returnDict(self):
return ApiHomeDict'''
'''if "ApiDictionary" in request.session:
print... |
5,904 | 9247896850e5282265cd08240f6f505e675ce5f0 | n = int(input())
num = list(map(int, input().split()))
plus_cnt = 0
div_max = 0
for i in num:
div = 0
while i > 0:
if i % 2 == 0:
i //= 2
div += 1
else:
i -= 1
plus_cnt += 1
div_max = max(div_max, div)
print(plus_cnt + div_max) |
5,905 | aff439361716c35e5f492680a55e7470b4ee0c42 | from numpy import empty
import pickle
from dataset import Dataset
from image import Image
f = open("./digitdata/trainingimages", "r")
reader = f.readlines()
labels = open("./digitdata/traininglabels", "r")
lreader = labels.readlines()
trainImageList = []
j = 0
i = 0
while(j < len(reader)):
image_array = empty([... |
5,906 | b4b80e40d12486881e37dd7ddeeef9c76417ebd9 | def add(a, b):
print "ADDING %d + %d" % (a, b)
return a + b
def subtract(a, b):
print "SUBTRACTING %d - %d" %(a, b)
return a - b
def multipy(a, b):
print "MULTIPLYING %d * %d" % (a, b)
return a * b
def divide(a, b):
print "DIVIDING %d / %d" % (a, b)
return a / b
print "Let's do some... |
5,907 | 7f9046582ff03d1c72d191a8f78c911cbc8a0650 | #!/usr/bin/env python
"""
Power calculation based for admixture mapping.
@ref: Design and Analysis of admixture mapping studies, (2004).
@Author: wavefancy@gmail.com
Usage:
PowerCalculation.py -r aratio -n nhap
PowerCalculation.py -h | --help | -v | --version | -f | --format
Not... |
5,908 | a6c45ab3df0a692cd625d8203e1152e942a4cd6c | # DISCLAIMER
# The "Math" code was taken from http://depado.markdownblog.com/2015-09-29-mistune-parser-syntax-highlighter-mathjax-support-and-centered-images
# The HighlightRenderer code was taken from https://github.com/rupeshk/MarkdownHighlighter
# MarkdownHighlighter is a simple syntax highlighter for Markdown syn... |
5,909 | 603a73a7cc0487fcabb527ebc21d44cb95817ecb |
def checkRaiz():
a = int(input("Informe o primeiro coeficiente: "))
b = int(input("Informe o segundo coeficiente: "))
c = int(input("Informe o terceiro coeficiente: "))
delta = (b*b) - (4*a*c)
if (delta < 0):
print("Não tem raiz real")
elif (delta == 0):
print("Existe uma raiz... |
5,910 | 0dc556336cee9e5f41c036c6fcf6da950216693c | from twindb_backup.copy.binlog_copy import BinlogCopy
from twindb_backup.status.binlog_status import BinlogStatus
def test_get_latest_backup(raw_binlog_status):
instance = BinlogStatus(raw_binlog_status)
assert instance.get_latest_backup() == BinlogCopy(
host='master1',
name='mysqlbin005.bin',... |
5,911 | 9dd5db441044c808274493f16a912d1b65a6c28b | print("Leer 10 números enteros, almacenarlos en un vector y determinar en qué posiciones se encuentran los números con mas de 3 dígitos")
count=1
lista=[]
while count<11:
numero=int(input('Introduzca su %d numero:' %(count)))
lista.append(numero)
count=count+1
listanueva=[]
s= ','
f... |
5,912 | 1cba7889370cc7de47bb5cd1eaeadfece056e68a | #Problem available at: https://www.hackerrank.com/challenges/weather-observation-station-6/problem
SELECT DISTINCT CITY from STATION where substr(CITY,1,1) in ('a','e','i','o','u'); |
5,913 | 731110b02c8a09dc84042a99c14eef990ae33cd2 | """
Have the function CharlietheDog(strArr) read the array of strings stored in strArr which
will be a 4x4 matrix of the characters 'C', 'H', 'F', 'O', where C represents Charlie the dog,
H represents its home, F represents dog food, and O represents and empty space in the grid.
Your goal is to figure out the least... |
5,914 | 9feb24da78113310509664fa9efcf5f399be5335 | # Import smtplib for the actual sending function
import smtplib
# Import the email modules we'll need
from email.message import EmailMessage
# Open the plain text file whose name is in textfile for reading.
with open("testfile.txt") as fp:
# Create a text/plain message
msg = EmailMessage()
msg.set_content... |
5,915 | dcb57ecf2c72b8ac816bb06986d80544ff97c669 | from http import HTTPStatus
from ninja import Router
mock_post_router = Router()
@mock_post_router.get(
"/mock_posts",
url_name="mock_post_list",
summary="전체 mock post의 list를 반환한다",
response={200: None},
)
def retrieve_all_mock_posts(request):
return HTTPStatus.OK
|
5,916 | d30e5e24dd06a4846fdde3c9fcac0a5dac55ad0d | import sys
import os
from django.conf import settings
BASE_DIR=os.path.dirname(__file__)
settings.configure(
DEBUG=True,
SECRET_KEY='ki==706e99f0ps9w5s*!kx%1^=5jq_k1c&4r@#e&ng9=xlm5_',
ROOT_URLCONF='sitebuilder.urls',
MIDDLEWARE_CLASSES=(),
INSTALLED_APPS=(
'django.contrib.staticfiles',
'django.contrib.webd... |
5,917 | b318f5d443dbf8e4442707839649149e75653295 | #!/usr/bin/python
import socket
import sys
host = '10.211.55.5'
port = 69
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
except:
print "socket() failed"
sys.exit(1)
filename = "Aa0Aa1Aa2Aa3Aa4Aa5Aa6Aa7Aa8Aa9Ab0Ab1Ab2Ab3Ab4Ab5Ab6Ab7Ab8Ab9Ac0Ac1Ac2Ac3Ac4Ac5Ac6Ac7Ac8Ac9Ad0Ad1Ad2Ad3Ad4Ad5Ad6Ad7... |
5,918 | 7cc9d445d712d485eaebd090d2485dac0c38b3fb | # file /home/hep/ss4314/cmtuser/Gauss_v45r10p1/Gen/DecFiles/options/16303437.py generated: Wed, 25 Jan 2017 15:25:22
#
# Event Type: 16303437
#
# ASCII decay Descriptor: [Xi_b- -> (rho- -> pi- pi0) K- p+]cc
#
from Configurables import Generation
Generation().EventType = 16303437
Generation().SampleGenerationTool = "Si... |
5,919 | 8e26a6b50539fa5f498aa2079a2625214e5b4d03 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
5,920 | ffb6379f2f2611fd8aa73f3a3c15fed4550d348f | ##############################################################################
#
# Copyright (c) 2005 Nexedi SARL and Contributors. All Rights Reserved.
# Yoshinori Okuji <yo@nexedi.com>
# Christophe Dumez <christophe@nexedi.com>
#
# WARNING: This program as such is intended to be ... |
5,921 | 08e5e8515528eae400a59bfc0c58b8d7b4affd7e |
# coding: utf-8
## ROC for CLEF-IP2010 patents
####### ROC for clef-ip2010 patents
# In[ ]:
def vectorize_corpus(corpus,tokenizer,vocabulary,max_ngram_size):
# tokenize text
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from... |
5,922 | fcc12b26308e3031de7e8fcf4ad43ec92279d400 | __author__ = 'jamjiang'
class Person:
def __init__(self, name):
self.name = name
def sayHi(self):
print 'hi!, I am', self.name
david = Person('David')
david.sayHi()
Person('leo').sayHi()
|
5,923 | 1298c2abae519a5365cc0d9d406196db987eb219 |
from collections import defaultdict
def k_most_frequent(arr:list, k:int):
''' '''
counts = defaultdict(int)
for n in nums:
counts[n] += 1
counts = [(k,v) for k,v in counts.items()]
ordered = list(reversed(sorted(counts, key=lambda d: d[1])))
return [o[0] for o in ordered[:k]]
num... |
5,924 | 0eaba8f570772de864f52168a597b47a4150d015 | # -*- coding:utf-8 -*-
from common import *
import itertools
def iteration_spider():
max_errors = 5
num_errors = 0
for page in itertools.count(1):
url = 'http://example.webscraping.com/view/-{}'.format(page)
html = download(url)
if html is None:
num_errors += 1
if num_errors == max_errors:
break
... |
5,925 | 649c0c0f170b50fe51f5eaf11908e968f66625c9 | import os
import shutil
def flatCopyWithExt(srcDir, dstDir, ext):
if not os.path.exists(dstDir):
os.makedirs(dstDir)
for basename in os.listdir(srcDir):
if basename.endswith(ext):
pathname = os.path.join(srcDir, basename)
if os.path.isfile(pathname):
shutil.copy2(pathname, dstDir)
def move... |
5,926 | 9d0727970c760a9a8123c5c07359ba5c538cea3c | # CS 5010 Project
# Team Metro
# Test the data cleaning
import unittest
from cleaning_data import dfClean # import the dataframe we created after cleaning the data
class DataTypesTestCase(unittest.TestCase):
# we will test that each column has the correct data type
# note that there is a strange occurenc... |
5,927 | 7636925982434b12307383ba7b01f931f7ea6e24 |
from mininet.cli import CLI
from mininet.term import makeTerms
from mininet.util import irange
from log import log
from utils import (UITextStyle, display)
from dijkstra import (get_routing_decision, get_route_cost)
# Check if route directly connects two switches
def isDirect(route):
return (len(route) == 2)
# ... |
5,928 | cfea7848dfb41c913e5d8fec2f0f4f8afaaa09f3 | import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import xml.etree.ElementTree as ET
tree = ET.parse('iliad1.xml')
root = tree.getroot()
file = open('iliad1_clean.txt','w')
for l in root.iter('l'):
file.write(''.join(l.itertext()) + "\n")
file.close() |
5,929 | 08c3155a5fbf6c94f5885c12cfc7c917313ae9c7 | from abc import ABCMeta, abstractmethod, ABC
from domain.models.network_information import NetworkInformation
class AbstractTensorboardExportService(ABC):
__metaclass__ = ABCMeta
@abstractmethod
def save_tensorboard(self, network_info: NetworkInformation) -> None: raise NotImplementedError
|
5,930 | 2678aac08104a580e866984bc4cf4adf8cb8ac5c | from __future__ import division, print_function, unicode_literals
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from pyglet.gl import *
from pyglet.window import key
from cocos.actions import *
from cocos.director import director
from cocos.layer import Layer
from cocos.scene... |
5,931 | f19056222be713c1556817d852af14d04483c9a3 | i = 0
num = ''
while len(num) < 1e6:
i += 1
num += str(i)
prod = 1
for i in xrange(0, 7):
prod *= int(num[10 ** i - 1])
print prod
|
5,932 | b3c22b4a453aa55da980b090df2749ff9f1066e6 | #game that has a timer and you need to stop the timer
#with 0 at the end.
import simplegui
#necessary global variables
#time for the timer
time = 0
#the display for the timer(string form)
watch = ''
#tries and correct presses
tries = 0
correct = 0
#changes time to watch(number to string of form A:B... |
5,933 | f4519fa82ffc6bf945c7bb36d3761a708a06f641 | import os
from flask import Flask, jsonify, request, abort, make_response
from flask_sqlalchemy import SQLAlchemy
from .models import User
from .config import app_config
app = Flask(__name__)
app.config.from_object(app_config[os.getenv('FLASK_ENV', 'production')])
db = SQLAlchemy(app)
@app.route('/api/v1/users/<i... |
5,934 | f3aaa6ae7a9a57946bdb035a4d52e84541c1a292 | import turtle
from turtle import color
import random
screen = turtle.Screen()
screen.setup(width=500, height=400)
colours = ["red", "pink", "blue", "purple", "black", "green"]
y_pos = [100, 60, 20, -20, -60, -100]
user_bet = screen.textinput(title="Make your bet",
prompt="Which turtle will ... |
5,935 | cc81e13bba0ea0186966bce7f5aac05bb106e971 | import sys
import os
def my_add(a, b):
return a + b
|
5,936 | d0991d8ea47379a0c1de836b5d215c99166ad049 | import sys
sys.path.append('../')
import constants as cnst
import os
os.environ['PYTHONHASHSEED'] = '2'
import tqdm
from model.stg2_generator import StyledGenerator
import numpy as np
from my_utils.visualize_flame_overlay import OverLayViz
from my_utils.flm_dynamic_fit_overlay import camera_ringnetpp
from my_utils.gene... |
5,937 | 337309da79ce9d90010fef5c171b6b344e6dc63f | """Test Spotify module"""
from spoetify.spotify import Spotify
from nose.tools import assert_equal
def test_search_track():
sp = Spotify()
t = sp.search_track("avocado")
assert_equal(t.id, "1UyzA43l3OIcJ6jd3hh3ac")
|
5,938 | 006e1088e72201fab7eebd1409c025b5dba69403 | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string.
:type root: TreeNode
:rtype: str
... |
5,939 | 7d1ca15129b1bf6b713e1d5eda4436d4a8539ad1 | import numpy as np
class nearest(svm):
name="MLLKM2"
def __init__(self):
svm.__init__(self)
def fit(self,x,y):
self.x=x
self.y=y
def predict(self,x):
diff=np.subtract(x,self.x)
distance=np.linalg.norm(diff,axis=1)
dmin= np.argmin( distance )
... |
5,940 | 4dac8e7e695c473cb73ceaf3887373bcc0a08aff | # from datetime import datetime
from datetime import datetime, time, timedelta
# today = datetime.now()
# previous_day = today - timedelta(days=1)
# previous_day = previous_day.strftime("%Y%m%d")
# print(today)
# print(previous_day)
print(datetime.strptime("2013-1-25", '%Y-%m-%d').strftime('%Y-%m-%d 00:00:00'))
# def... |
5,941 | 2a500968cf6786440c0d4240430433db90d1fc2f | n = int(input())
p = [220000] + list(map(int, input().split()))
cnt = 0
m = 220000
for i in range(1, n+1):
now = p[i]
m = min(m, now)
if now == m:
cnt += 1
print(cnt) |
5,942 | 29c1a989365408bf5c3d6196f7afc969be63df85 |
def patternCount(dnaText, pattern):
count = 0
for i in range(0, len(dnaText) - len(pattern)):
word = dnaText[i:i+len(pattern)]
if (word == pattern):
count = count + 1
return count
def freqWordProblem(text, k):
countWords = []
for i in range(0, len(text) - k):
pa... |
5,943 | 88343b9c5cac3510e8cea75ac5b11f517ddc164b | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras.layers import Dense, Input
from keras.layers import Conv2D, Flatten, Lambda
from keras.layers import Reshape, Conv2DTranspose
from keras.models import Model
from keras.losses import mse, binary_cross... |
5,944 | 87e17eb6fa91be09ac9afa43c4e58054faa77477 | # Generated by Django 3.1.2 on 2020-10-29 06:04
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
5,945 | 90ae6fe37cea2c07d8308498c62460c10ca46846 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 4 20:55:22 2017
@author: Ivan
"""
# -----------
# User Instructions
#
# Modify the test() function to include two new test cases:
# 1) four of a kind (fk) vs. full house (fh) returns fk.
# 2) full house (fh) vs. full house (fh) returns fh.
#
# Since the program is stil... |
5,946 | 4318c99b3de9bb9c44eed57525c9ccbe82a17276 | #!/usr/bin/python
#
# Script written by Legoktm, 2011
# Released into the Public Domain on November, 16, 2011
# This product comes with no warranty of any sort.
# Enjoy!
#
from commands import getoutput
def notify(string, program=False):
if not program:
command = 'growlnotify Python -m "%s"' %string
else:
command... |
5,947 | 9e02b1a90d61de6d794dd350b50417a2f7260df6 | from django import forms
from django.contrib.auth.models import User
from .models import TblPublish , TblSnippetTopics, TblSnippetData, TblLearnTopics, TblLearnData, TblBlog, TblBlogComments,TblLearnDataComments, TblBlogGvp, TblLearnDataGvp,TblSnippetDataGvp, TblHome, TblAbout, TblQueries
from django.contrib.auth.forms... |
5,948 | fa880adcb9f009ffc206de59e8284ac6350fef4c | from django.db import models
#from ingredients.models import *
class Unit(models.Model):
short_name = models.CharField(max_length=20)
full_name = models.CharField(max_length=255, null=True)
weight_in_grams = models.FloatField(default=1.0)
def __str__(self):
return f"{self.short_name}" |
5,949 | 9527743802a0bb680ab3dcf325c0f7749a51afc6 | i = 100
while i >= 100:
print(i)
i -= 1
print(i)
|
5,950 | 6111c9730c556ab3ab95f7685ffa135a2bbeb2ca | from __future__ import with_statement
from fabric.api import *
from fabric.colors import *
from fabric.utils import puts
from fabric.context_managers import shell_env
env.hosts = ['git@tweetset.com']
def deploy():
"deploys the project to the server"
with prefix('source /srv/django-envs/tweetset/bin/activate')... |
5,951 | 2075e7e05882524c295c8542ca7aefae2cf3e0fc | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tests for the storage format CLI arguments helper."""
import argparse
import unittest
from plaso.cli import tools
from plaso.cli.helpers import storage_format
from plaso.lib import errors
from tests.cli import test_lib as cli_test_lib
class StorageFormatArgumentsHe... |
5,952 | 83bac8176caafc5551089c4bef5c1f38e1e8d4da | # block-comments.py
'''
Block comments generally apply to some (or all) code that follows them, and are
indented to the same level as that code. Each line of a block comment starts
with a # and a single space (unless it is indented text inside the comment).
Paragraphs inside a block comment are separated by a line con... |
5,953 | 679ca76212b90261683d59899c1189280b6b6e8c | #!/user/bin/env python3 -tt
"""
https://adventofcode.com/2017/day/7
"""
import sys
import re
# Global variables
task="d-7"
infile=task + ".input"
with open('input/' + infile) as file:
input = file.read()
file.close()
class Node:
parent = None
children = None
weight_sum = 0
def __init__(self, na... |
5,954 | 7747cbb1a1ed191b616b0d1bcfd51cdea05067f5 | from bs4 import BeautifulSoup
import re
class Rules:
def __init__(self):
self.ruleCollection = {
"1" : self.rule1,
"2" : self.rule2,
"3" : self.rule3,
"4" : self.rule4,
"5" : self.rule5,
"6" : self.rule6,
"7" : self.rule7,
"8" : self.r... |
5,955 | e26fa69ea1f0bee82b4108ac5a541a6175645728 | import numpy as np
import cPickle
from features import create_features, PROJECT
from parse import load_data
from dict_vectorizer import DictVectorizer
videos, users, reviews = load_data()
orig_X = np.array([(x['date'], x['text'], x['user']) for x in reviews])
feats = create_features(orig_X, None)
v = DictVectorizer(s... |
5,956 | 459dd9302f7100ad02119cc94b735b19287f21e5 | import tensorflow as tf
import numpy as np
import time
import os
from sklearn.metrics import roc_curve
import matplotlib.pyplot as plt
from src.model import get_args
from src.funcs import linear
from src.youtubeface import load_ytf_data
from src.lfw import load_lfw_data
from src.facescrub import load_fs_data
from src... |
5,957 | 3770e59c5bd6837a0fb812f80c6549024e06a9e4 | '''
Functional tests for the Write Stream
'''
from behave import given, when, then
from OSC import OSCClient, OSCMessage, OSCServer
@given('I want to send an integer')
def step_impl (context):
pass
@given('I want to send a float')
def step_impl (context):
pass
@given('I want to send two integers with one ... |
5,958 | 2343a9d3e253b5a0347b5890a5d7b9c3be777669 | import tkinter
import csv
import datetime
import time
root = tkinter.Tk()
root.title("Attendance")
root.geometry("+450+250")
ts = time.time()
date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
fileName = "Attendance/Attendance_"+date+".csv"
# open file
with open(fileName, newline="") as file:
reader ... |
5,959 | ae998fb17b8d6f4f5c8871a0ebe86a039501ec99 | # -*- coding: utf-8 -*-
__all__ = "corner"
import logging
import numpy as np
from corner.core import corner_impl
try:
from corner.arviz_corner import arviz_corner
except ImportError:
arviz_corner = None
def corner(
data,
bins=20,
*,
# Original corner parameters
range=None,
axes_sc... |
5,960 | 9586dc118be4388491770d823a38e8068e3b91cb | from django.contrib import admin
from .models import Contactus,ContactusAdmin,Company,CompanyAdmin,Products,ProductsAdmin,Brands,BrandsAdmin
# Register your models here.
admin.site.register(Contactus,ContactusAdmin),
admin.site.register(Company,CompanyAdmin),
admin.site.register(Products,ProductsAdmin),
admin.site.reg... |
5,961 | 6623ac194e380c9554d72a1b20bf860b958dda97 | from django.http import HttpResponse
from django.shortcuts import render
from .models import game
def index(request):
all_games = game.objects.all()
context = {
'all_games' : all_games
}
return render(request,'game/index.html',context)
def gameview(response):
return HttpResponse("<h1>Ludo ... |
5,962 | ce263424b856c07e04bd66cda7ebda646583b1fe | S=input()
T=int(input())
B=abs(S.count('L')-S.count('R'))+abs(S.count('U')-S.count('D'))
print(B+S.count('?') if T==1 else max(B-S.count('?'),(B-S.count('?'))%2)) |
5,963 | 719f7b7b2d8df037583263588e93d884ab3820fe | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
gp = pd.read_csv('graph6.csv')
N=gp['Starting-node'].max()
M=gp['Ending-node'].max()
N=max(N,M)
gp=gp.sort_values(by='Cost')
gp=gp.reset_index()
gp=gp.reset_index()
gp['tree label']=gp['level_0']
index=gp['index'].max()
gp.drop('index',axis... |
5,964 | 596f7dfacc931f5e756c71b8622f4001df19934b | from rest_framework import serializers
from plan.models import RoughRequirement, DetailedRequirement
from plan.models import OfferingCourse, FieldOfStudy, IndicatorFactor
from plan.models import BasisTemplate
class SimpleOfferingCourseSerializer(serializers.ModelSerializer):
class Meta:
model = OfferingCou... |
5,965 | cc1a1491ffbcf470705aeea079faac290dbaa25e | # this is the example code from the t0p-level README..d
from spatialmath import SE3
import roboticstoolbox as rtb
import swift
robot = rtb.models.DH.Panda()
print(robot)
T = robot.fkine(robot.qz)
print(T)
# IK
T = SE3(0.7, 0.2, 0.1) * SE3.OA([0, 1, 0], [0, 0, -1])
sol = robot.ikine_LMS(T) # solve IK, ignore additio... |
5,966 | 7aa426723f5311b5abec4a7ace9d3ec1e5e31d9a | '''
这部分理解参考：
https://www.bilibili.com/video/BV1QA411H7tK?from=search&seid=17305042509580602672
图文代码地址： https://blog.csdn.net/qq_30758629/article/details/112527763
'''
import threading
import time
data=0
lock=threading.Lock() #创建一个锁对象
def func():
global data
print("%s is acquire lock..\n" %threading.curr... |
5,967 | 8cf6a9243182a4f6b68199a8967e06790396dc10 | #THIS IS PYTHON3
import tkinter as tk
from tkinter import *
from PIL import ImageTk
from PIL import Image #to handle non-gif image formats
import cv2
import numpy as np
from statistics import mode
import time
import random
import predict as ml
def calcSuccess(predictedCounter, randAssault):
vidLabel.pack_forge... |
5,968 | 48e3259698788904e000eb15b5443067b0c3e791 | #alds13c
from collections import deque
d_stack=deque()
res_stack=deque()
s = input()
for i in range(len(s)):
#print(d_stack,res_stack)
if s[i]=="\\":
d_stack.append(i)
elif s[i]=="/":
if len(d_stack)==0:
continue
left = d_stack.pop()
area = i-left
#res_s... |
5,969 | 436cc06778bf9ac9e04a897f4a4db90c595d943c | # load the dependencies
from airflow import DAG
from datetime import date, timedelta, datetime
# default_args are the default arguments applied to the DAG and all inherited tasks
DAG_DEFAULT_ARGS = {
'owner': 'airflow',
'depends_on_past': False,
'retries': 1,
'retry_delay': timedelta(minutes=1)
}
with DAG('twitte... |
5,970 | cfa0937f1c49b52283c562d9ab1cb0542e71b990 | import matplotlib.pyplot as plt
from partisan_symmetry_noplot import partisan_symmetry
for k in range(1,100):
a=[]
for i in range(1,100):
a.append([])
for j in range(1,100):
a[i-1].append(partisan_symmetry([5*i/100,.20,5*j/100],1000,False))
plt.imshow(a)
plt.colorbar()
p... |
5,971 | aa47b7c74b9b6b8a7f014de4bd58236edeba485d | import os
class User(object):
def __init__(self, meta):
meta.update({
'groups': meta.get('groups', []) + [meta['username']]
})
self.meta = meta
@property
def username(self):
return self.meta['username']
@property
def groups(self):
return self.... |
5,972 | cdd929ee041c485d2a6c1149ea1b1ced92d7b7ab | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-08-03 02:31
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Creat... |
5,973 | 41294c803cf42611fa003f21b74a49dd5576a8e8 | # Copyright (c) 2020, Galois, Inc.
#
# All Rights Reserved
#
# This material is based upon work supported by the Defense Advanced Research
# Projects Agency (DARPA) under Contract No. FA8750-20-C-0203.
#
# Any opinions, findings and conclusions or recommendations expressed in this
# material are those of the author(s) ... |
5,974 | 661d82adc7d0746635fb57abf6d0e70ee615ada4 | # -*- coding: utf-8 -*-
file1 = raw_input("Enter the path of your first file: ")
file2 = raw_input("Enter the path of your second file: ")
Basex = open(file1).read().split()
Basey = open(file2).read().split()
if Basex != Basey:
print("The files are different!")
else:
print("The files are the same!")
|
5,975 | efe5921afb160b7b5a953cdd0c2f90f64b5f34c9 |
"""
Make sure overwriting read-only files works as expected (via win-tool).
"""
import TestGyp
import filecmp
import os
import stat
import sys
if sys.platform == 'win32':
test = TestGyp.TestGyp(formats=['ninja'])
os.makedirs('subdir')
read_only_files = ['read-only-file', 'subdir/A', 'subdir/B', 'subd... |
5,976 | e1ecc08f66e094841647f72b78bcd29ed8d32668 | import requests
import json
l = list()
with open ( "token.txt", "r") as f:
token = f.read()
# создаем заголовок, содержащий наш токен
headers = {"X-Xapp-Token" : token}
with open('dataset_24476_4.txt', 'r') as id:
for line in id:
address = "https://api.artsy.net/api/artists/" +... |
5,977 | cc6f02f9e1633fa15b97af5f926e083a65a8336e | # Problem 20: Factorial digit sum
def factorial(num):
sum = 1
while num != 0:
sum *= num
num -= 1
return sum
def sum_digits(num):
sum = 0
while num != 0:
sum += num % 10
num //= 10
return sum
print(sum_digits(factorial(100))) |
5,978 | 30a57197e3156023ac9a7c4a5218bfe825e143d9 | # Fix a method's vtable calls + reference making
#@author simo
#@category iOS.kernel
#@keybinding R
#@toolbar logos/refs.png
#@description Resolve references for better CFG
# -*- coding: utf-8 -*-
"""
script which does the following:
- adds references to virtual method calls
- Identifies methods belong to a specific ... |
5,979 | 021cbd1bd22f9ec48db2e52b2a98be169bbfdbbd | # -*- coding: utf-8 -*-
# @Author: huerke
# @Date: 2016-09-03 10:55:54
# @Last Modified by: huerke
# @Last Modified time: 2016-09-03 15:54:50
from flask import render_template
from . import main
@main.app_errorhandler(404)
def page_not_found(e):
return render_template('404.html'), 404
@main.app_errorhandler... |
5,980 | 603d7df0639def2b620cca2299077674e35a74b2 | from wrapper import SeleniumWrapper
from selenium.webdriver.common.by import By
class PageDetector:
def __init__(self, driver):
self.selenium = SeleniumWrapper(driver)
def detect(self):
if self.selenium.wait_for_presence(locator=(By.ID, "teams-app-bar"), timeout=30):
if sel... |
5,981 | 3b5141a86948df6632612f6c9d7fc0089acc60aa | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import random
class Role:
"""
角色类
卧底
平民
"""
def __init__(self,key_word="",role_id = 0):
self.key_word = key_word
self.role_id = role_id #平民-0；卧底-1；
class User(Role):
"""
用户类
玩家
"""
def __init__(self,id,role_i... |
5,982 | c414e5d3934f741540fb5721a529b48f95e17016 | # -*- coding: utf-8 -*-
import sqlalchemy as sa
import ujson
from aiohttp import web, WSMsgType
from .db import TLE
from .log import logger
from .utils import parse_sa_filter, parse_sa_order, check_sa_column, get_sa_column
async def query(request):
filters = []
if 'filters' not in request.query:
rai... |
5,983 | 705bc651e7d12769bcf5994168fe6685a6bae05d | #!/usr/bin/env python
import sys
import requests
import numpy as np
import astropy.table as at
if __name__=='__main__':
targets = at.Table.read('targets_LCO2018A_002.txt', format='ascii')
headers={'Authorization': 'Token {}'.format(sys.argv[1])}
for x in targets['targetname']:
obs = requests.get('h... |
5,984 | 86c053b7d4c752182965755ad5b6ba6937ce6f86 | import unittest
from dispatcher.task import *
from mock import *
class TestTask(unittest.TestCase):
def test_init(self):
task_attr = ['filename=C:\\Users\\kcheng\\PycharmProjects\\first_project\\dummy_task2.py',
'frequency=1D', 'time=09:45', 'description=invalid time']
task = T... |
5,985 | 963e736fd4a942fb1c51e1e0a357ad6be48aed9a |
#Una empresa les paga a sus empleados con base en las horas trabajadas en la semana.
#Realice un algoritmo para determinar el sueldo semanal de N trabajadores
#y, además, calcule cuánto pagó la empresa por los N empleados.
base = int(input("Dinero por hora trabajada: "))
emp = int(input("Dime el nº de empleados... |
5,986 | ca25739583d3b7ff449fbd2f56a96631981c815d | # -*- coding: utf-8 -*-
import sys
from os import path
try:
import DMP
except ImportError:
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
from DMP.modeling.vectorMaker import VectorMaker
from DMP.modeling.variables import KEY_TOTAL, KEY_TRAIN, KEY_VALID, KEY_TEST
from DMP.dataset.dataHan... |
5,987 | 635b02e03578d44f13530bd57ab1a99987d4909d | # -*- coding: utf-8 -*-
"""
Created on Wed May 16 10:17:32 2018
@author: pearseb
"""
#%% imporst
import os
import numpy as np
import netCDF4 as nc
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import cmocean.cm as cmo
import seaborn as sb
sb.set(style='ticks')
import mpl_toolkits.basemap as bm
import p... |
5,988 | 40ee790f4272c05c1619eb7b2cc66a8b57bbe8a8 | # -*- coding: utf-8 -*-
from cms.app_base import CMSApp
from cms.apphook_pool import apphook_pool
from django.utils.translation import ugettext_lazy as _
class StaffApp(CMSApp):
name = _('Staff')
urls = ['blog.urls', ]
app_name = 'staff'
apphook_pool.register(StaffApp)
|
5,989 | 4abcca52095a169b71d2527ce52b8367534c42a4 | # -*- python -*-
# ex: set syntax=python:
# vim: set syntax=python:
import os
import re
from collections import defaultdict, namedtuple
from enum import Enum
from pathlib import Path
import buildbot.www.authz.endpointmatchers as ems
from buildbot.changes.filter import ChangeFilter
from buildbot.changes.gitpoller impo... |
5,990 | 1ad40ef3aa7c81b6eee4fe0b98bcdd2f1110ef8d | #!/usr/bin/env python
# On CI, you can pass the logging and the password of dockerhub through
# the environment variables DOCKER_USERNAME and DOCKER_PASSWORD
import getpass
import os
import subprocess
import sys
from builtins import input
SCRIPT_DIR = os.path.realpath(os.path.join(__file__, '..'))
ROOT_DIR = os.path... |
5,991 | 2c2ad4b6e8c5055afa3dfb3b540a44bda65fa004 | """
A web-page.
"""
import re
import pkg_resources
from .components import Link, Javascript, inject
class Page:
"""A web-page presenting container.
Args:
favicon (str): The file name for the favorite icon displayed in a
browser tab(default=None)
title (str): The page title, disp... |
5,992 | 652918e09a3506869c939be39b71a06467459f8a | import configparser
# CONFIG
config = configparser.ConfigParser()
config.read('dwh.cfg')
# DROP TABLES
drop_schema="DROP SCHEMA IF EXISTS sparkifydb;"
set_search_path="SET SEARCH_PATH to sparkifydb;"
staging_events_table_drop = "DROP TABLE IF EXISTS staging_events;"
staging_songs_table_drop = "DROP TABLE IF EXISTS s... |
5,993 | c0e1c0c4545777a669fac19900239ab9baade242 | """
Physical units and dimensions
"""
from sympy import *
from sympy.core.basic import Atom
from sympy.core.methods import ArithMeths, RelMeths
class Unit(Atom, RelMeths, ArithMeths):
is_positive = True # make (m**2)**Rational(1,2) --> m
is_commutative = True
def __init__(self, name, a... |
5,994 | 414fa4021b21cea0dc49380aebfe67f0204f0574 | def multiplica():
one = int(input('1º: '))
two = int(input('2º: '))
print('a multiplicação é: ', one*two)
def soma():
one = int(input('1º: '))
two = int(input('2º: '))
print('a soma é: ', one+two)
def subtra():
one = int(input('1º: '))
two = int(input('2º: '))
... |
5,995 | 54a6405e3447d488aa4fca88159ccaac2506df2c | #!/usr/bin/env python
import serial
from action import Action
import math
comm = serial.Serial("/dev/ttyACM3", 115200, timeout=1)
#comm = None
robot = Action(comm)
from flask import Flask
from flask import send_from_directory
import os
static_dir = os.path.join(os.getcwd(), "ControlApp")
print "serving from " + sta... |
5,996 | 0bc53130a4248178f4c3fabbae7d2546f0d5b8fd | from __future__ import unicode_literals
from django.db import models
from django.utils import timezone
# Create your models here.
class Article(models.Model):
title = models.CharField(max_length=200)
author = models.CharField(max_length=100, default='admin')
content = models.TextField(max_length=5000)
... |
5,997 | 327e9dcba49419b8a8c320940e333765c1d9b980 | # Standard Library Imports
# Third Party Imports
from kivy.clock import Clock
from kivy.properties import StringProperty
from kivy.uix.screenmanager import Screen, ScreenManager
from kivy.uix.widget import Widget
# Local Imports
from client.source.ui.kv_widgets import ModalPopupButton, SubmissionPopup, FailedSubmissi... |
5,998 | dc6cbf43424a31f1aefde8bd71b6f1b7ecf8166b | vect = [0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0, 5.723585101952381, 0.0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 0, 0.... |
5,999 | 5b8322761975ebec76d1dccd0290c0fb1da404e5 | # 문제 설명
# 길이가 같은 두 1차원 정수 배열 a, b가 매개변수로 주어집니다. a와 b의 내적을 return 하도록 solution 함수를 완성해주세요.
# 이때, a와 b의 내적은 a[0]*b[0] + a[1]*b[1] + ... + a[n-1]*b[n-1] 입니다. (n은 a, b의 길이)
# 제한사항
# a, b의 길이는 1 이상 1,000 이하입니다.
# a, b의 모든 수는 -1,000 이상 1,000 이하입니다.
# 입출력 예
# a b result
# [1,2,3,4] [-3,-1,0,2] 3
# [-1,0,1] [1,0,-1] -2
# 입출력... |
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