text stringlengths 38 1.54M |
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import FWCore.ParameterSet.Config as cms
hltDeepInclusiveMergedVerticesPF = cms.EDProducer("CandidateVertexMerger",
maxFraction = cms.double(0.2),
minSignificance = cms.double(10.0),
secondaryVertices = cms.InputTag("hltDeepTrackVertexArbitratorPF")
)
|
class AgenteVainilla:
def __init__(self, cash: float, stock_portfolio: dict, indiccators: object, environment: object) -> None:
pass
def policy():
pass
|
import pkg_resources
from mako.lookup import TemplateLookup
from bravado_types.config import Config
from bravado_types.data_model import SpecInfo
from bravado_types.metadata import Metadata
def render(metadata: Metadata, spec: SpecInfo, config: Config) -> None:
"""
Render module and stub files for a given Sw... |
# -*- coding: utf8 -*-
import unittest
from source.array_n_string import *
class TestTwoSum(unittest.TestCase):
def test_two_sum_001(self):
numbers = [1, 2, 3, 4, 5]
target = 8
index1, index2 = TwoSum().two_sum(numbers, target)
self.assertEqual(index1, 3, 'first val... |
import pygame
pygame.init()
clock = pygame.time.Clock()
fps = 60
word_data = []
lines = 16
cols = 31
monitor = pygame.display.Info()
screen_width = monitor.current_w
screen_height = monitor.current_h
screen = pygame.display.set_mode((screen_width, screen_height))
object_size = screen_width // 30
for i in range(line... |
def recursive_binary_search(arr,target):
# check the length of the list first
# This condition also accounts for when a number is not in the list,
# Then len of arr evetually turns to zero as the search progresses
if len(arr) == 0:
return False
else:
# get the midpoint
mid_po... |
'''
Select multiple image of same size that all need cropping in same area.
Select a region to crop on one image, and apply it to all selected images.
Saves cropped images with filename prefix 'Multicropped-'
Particularly useful for cropping the same area of many screenshots.
'''
from tkinter import filedialog
import... |
import sys
sys.path.append('/home/test/automation/All_repo/SDNC-FUNC/HAPPIEST_FRAMEWORK')
from Config import ControllerConfig
from Config import variables
from Supporting_Libs import snmp_utils
import re
oid = '1.3.6.1.2.1.2.2.1.7'
up = []
down = []
## Performing GET-BULK operation on interface status
prin... |
# https://leetcode.com/problems/string-to-integer-atoi/
class Solution:
def myAtoi(self, str: str) -> int:
num = 0
is_positive = True
i = 0
while i < len(str) and str[i] == ' ':
i += 1
if i < len(str) and str[i] == '+':
i += 1
elif i < len(s... |
import json
from django.db import models
from django.utils.six import python_2_unicode_compatible
from channels import Group
from .settings import MSG_TYPE_MESSAGE
from django.contrib.auth.models import User
# Create your models here.
class UserProfile(models.Model):
user = models.OneToOneField(User)
def __str__(... |
"""Interface with git locally and remotely."""
import glob
import json
import logging
import os
import re
import sys
import tarfile
import time
from datetime import datetime
from subprocess import CalledProcessError, PIPE, Popen, STDOUT
IS_WINDOWS = sys.platform == 'win32'
RE_ALL_REMOTES = re.compile(r'([\w./-]+)\t([... |
from index_map import indexes
from get_objects import get_objects
from PIL import Image
import numpy as np
class Data:
def __init__(self) -> None:
self.englishFile = open("en-es/source.final.file-found")
self.spanishFile = open("en-es/reference.final.file-found")
self.metadataFile = open("e... |
import logging
import pandas as pd
from scrapper.configuration import config
from scrapper.infraestructure.TwitterScrapper import TwitterScrapper
class TwitteService:
def __init__(self):
self._twitter_scrapper = TwitterScrapper()
def scrap_profiles_from_user_ids(self, user_ids: list) -> list:
... |
from flask import Flask, render_template, request, jsonify
from marshmallow import Schema, fields, ValidationError
import SO2002A
import string
# validation
class BaseSchema(Schema):
value = fields.List(fields.String, required=True)
printable = set(string.printable)
# initialise
app = Flask(__name__)
message ... |
import sys, re
dico = {
'févriyé':'NOUN'
}
sent_idx = 1
def guess_tag(idx, s, dico, first_alpha):
tag = '_'
# print(idx, s, first_alpha, file=sys.stderr)
if s in "!\"'()+,./:?«»–—‘“”•…":
return 'PUNCT'
elif idx != 1 and s[0].isupper() and not first_alpha and s.title():
return 'PROPN'
elif re.match('^[0-9]... |
def main():
#escribe tu código abajo de esta línea
vel = float(5.7)
min = float(input("Dame los minutos: "))
dis = (vel * (min*60))/10
print("Centímentros recorridos: ", dis)
if __name__ == '__main__':
main()
|
"""
This module takes care of starting the API Server, Loading the DB and Adding the endpoints
"""
import os
import sendgrid
from sendgrid.helpers.mail import *
from flask import Flask, request, jsonify, url_for, Blueprint,current_app
from api.models import db, User, Pregunta
from api.utils import generate_sitemap, API... |
from bear.install_data import testRun
# coding=utf-8
import time
import unittest
class TestSendMessage(unittest.TestCase):
def test_send(self):
print("如果用例失败，代表BearFrame 框架没有正确安装，请用 {pip install BearFramework}命令安装")
self.assertEqual(testRun(),"OK")
|
import numpy as np
np.random.seed(2016)
import os
from random import shuffle
import sys
import pandas as pd
import warnings
import platform
import time as tm
import json
from collections import OrderedDict
import pandas as pd
import numpy as np
import glob
###############################################... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 20 15:10:22 2020
@author: scro3517
"""
import numpy as np
import pandas as pd
import random
def modify_df():
""" Load Dataframe as an Iterable """
iter_csv = pd.read_csv('/home/scro3517/Desktop/mimic-iii-clinical-database-1.4/NOTEEVENTS.cs... |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from sklearn.manifold import TSNE
import argparse
from matplotlib.animation import FuncAnimation
from pose_embedder import FullBodyPoseEmbedder
def tsne_trace(train_path, perp, iter, plot_type, embedder):
df, data_cols, data... |
__author__ = 'thiagocastroferreira'
import os
root_dir = '/roaming/tcastrof/names/eacl'
parsed_dir = '/roaming/tcastrof/names/regnames/parsed'
mentions_dir = '/roaming/tcastrof/names/eacl/mentions'
webpages_dir = '/roaming/tcastrof/names/regnames/webpages'
file_dbpedia = os.path.join(root_dir, 'name_base.json')
file... |
import os, sys
sys.path.append( os.path.dirname(os.path.dirname((os.path.realpath(__file__)))) )
import time
import torch
import numpy as np
import gym
from Games.envs import DiskonnectPlayerEnv
import wandb
from stable_baselines3 import PPO, TD3, SAC, DDPG
from stable_baselines3.common.vec_env import DummyVecEn... |
import unittest
from rabin_karp import RabinKarp
class RabinKarpTests(unittest.TestCase):
def setUp(self):
self.rk_one = RabinKarp('abcabaaba', 'aba')
self.rk_two = RabinKarp('abccdhabacfhfhf', 'abac')
self.rk_three = RabinKarp('fabdgdtdf', 'fabdgdtdf')
def test_one(self):
self... |
import cmapPy.pandasGEXpress.parse as parse
import cmapPy.pandasGEXpress.GCToo as GCToo
import numpy as np
import pandas as pd
# TODO add to metadata
invariant_rids = ['c-661', 'c-662', 'c-663', 'c-664', 'c-665', 'c-666', 'c-667', 'c-668', 'c-669', 'c-670']
def normalize(mfi_gctoo, log=True, inv=True, inv_threshold =... |
__author__ = 'mwas'
__author__ = 'mwas'
from django import forms
from customer_feedback import models
class admin_login_form(forms.Form):
password = forms.CharField(required=False,
label="Password",
max_length=255,
widget... |
from typing import List
class Solution:
def findMaxConsecutiveOnes(self, nums: List[int]) -> int:
max_length = 0
current_length = 0
for num in nums:
if num:
current_length += 1
else:
if current_length >= max_length:
... |
"""
SSW533-get_logs by Yuning Sun
11:54 PM 11/30/20
Module documentation:
"""
import json
import requests
repo_name = 'kernel_liteos_a'
url = 'https://gitee.com/api/v5/repos/openharmony/' + repo_name + '/pulls'
params = {"access_token": "5b304d9b1353007d8891cc3ea2c84841", "state": "merged"}
res = requests.get(url=url... |
# Original Idea that started it all:
def danny_bub(list):
length = len(list) - 1
sorted = False
counter = 0
while not sorted:
sorted = True
for i in range(counter, length - 1, 1):
if list[i] > list[i + 1]:
list[i], list[i+1] = list[i+1], list[i]
... |
from veides.sdk.stream_hub import StreamHubClient, AuthProperties, ConnectionProperties
from time import sleep
import logging
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Basic example of connecting to Veides Stream Hub")
parser.add_argument("-u", "--username", req... |
'''Code snippets on how to unfreeze and train specific layers'''
### How to import a pretrained model from torchvision
import torchvision.models as models
model = models.resnet152()
### How to train the last layer only (classifier)
for param in model.parameters():
param.requires_grad = False
### Training all the... |
"""
The models module encapsulates the parameters data inherent in a large database
of phrases.
"""
import hashlib
from sqlalchemy import Column, Integer, String, Unicode, ForeignKey
from sqlalchemy.orm import relationship
from chkphrase.database import Base
class User(Base):
__tablename__ = 'users'
id = Col... |
"""
Script that trains graph-conv models on Tox21 dataset.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import json
np.random.seed(123)
import tensorflow as tf
tf.set_random_seed(123)
import deepchem as dc
from deepchem.molnet im... |
#!/usr/bin/env python3
import yaml
from math import log, sqrt, floor, ceil
from itertools import product
from operator import itemgetter
import numpy as np
if __name__ == '__main__':
max_n = 3000000
iv = 10
multiplier = sqrt(2)
max_i = int((log(max_n)-log(iv))/log(multiplier))
mks = [int(round(iv*... |
# 3. Реализовать функцию my_func(), которая принимает три позиционных
# аргумента и возвращает сумму наибольших двух аргументов.
# реализация функции
def my_func(p_1, p_2, p_3):
"""
Возвращает сумму наибольших двух аргументов.
Именованные параметры:
p_1 -- первое число
p_2 -- второе число
p_3 ... |
import json
from django.http import HttpResponse
from user.helper.string import *
def create_json_response(json_dict, error_header, status_code=200, dumps=True):
# if dumps equals to False then jsonDict is already in json format
if dumps:
json_dict = json.dumps(json_dict)
response = HttpResponse(... |
import random
from matplotlib import pyplot as plt
from matplotlib import animation
from language import Language
from ethnicity import Ethnicity
from utils import *
from math import sqrt, ceil
from threading import *
N = 1000
movement_rate = 0.001
influence_rate = 0.1
propagation_rate = 0.01
chance_to_change = 0.75
l... |
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def rob(self, root):
"""
:type root: TreeNode
:rtype: int
"""
# flag = True means rob the root, else not. r... |
import SocketServer
from mixins import ThreadPoolMixIn, OtherPoolMixIn
import re
import threading
import os
class MyRequestHandler(SocketServer.BaseRequestHandler):
users = {}
def handle(self):
# print threading.currentThread().getName()
# print "Pid: %d" % os.getpid()
command = self... |
import numpy as np
import pdb
import cv2
import logging
from skimage.feature import local_binary_pattern
from modshogun import RealFeatures, MulticlassLabels
from modshogun import LMNN as shogun_LMNN
import matplotlib.pyplot as plt
from metric_learn import ITML_Supervised
logging.basicConfig(filename="logs", level=log... |
# Project: Live Webcam Video Filters
# Contributers: Abraham Medina, Gurjot Sandhu, Valentina Fuchs Facht
# Class: CST 205-02 Spring 2017
# Date: March 16, 2017
# Abstract: This program allows the user to activate the webcam of a computer according to a filter they would like put over their face and to be able to then ... |
import math
Phi = (1 + math.sqrt(5)) / 2
phi = 1/Phi
def fib(n):
return round((Phi**n / math.sqrt(5)) - (-phi**n / math.sqrt(5)))
n = 1
sum = 0
while fib(n) < 4000000:
if(fib(n) % 2 == 0):
sum += fib(n)
n += 1
print(sum)
|
from pyspark import SparkContext
from collections import OrderedDict
import sys
import itertools
inputfile = sys.argv[1]
outputfile = sys.argv[2]
sc = SparkContext(appName = "Girvan Newman")
data = sc.textFile(inputfile)
data = data.map(lambda x: (eval(x)[0],eval(x)[1]))
g = data.collect()
node_test = s... |
from django.conf.urls import url
from . import views
app_name = 'weixin'
urlpatterns = [
# ex: /polls/
url(r'^$',views.weixin ,name="index"),
]
|
# -*- coding: UTF-8 -*-
from django.db import models
from apps.seguridad.models import Usuario, MotivoBloqueo
from apps.seguridad.audit import audit
@audit
class BloqueoLog(models.Model):
usuario = models.ForeignKey(Usuario)
motivo = models.ForeignKey(MotivoBloqueo)
fecha = models.DateField()
class M... |
from typing import Union
from types import FunctionType
from functools import wraps
__all__ = ('lru_cache', 'cache')
__version__ = '0.4'
def cache(f):
return lru_cache()(f)
def lru_cache(
maxsize: Union[None, "NonNegativeInt", FunctionType, classmethod, staticmethod]=None,
generate_key = lambda *... |
import functools
import unittest
import six
if six.PY3:
from unittest import mock
else:
import mock
from socketio import base_manager
from socketio import pubsub_manager
class TestBaseManager(unittest.TestCase):
def setUp(self):
mock_server = mock.MagicMock()
self.pm = pubsub_manager.Pub... |
from PIL import Image
import matplotlib.pyplot as plt
def getRed(redVal):
return '#%02x%02x%02x' % (redVal, 0, 0)
def getGreen(greenVal):
return '#%02x%02x%02x' % (0, greenVal, 0)
def getBlue(blueVal):
return '#%02x%02x%02x' % (0, 0, blueVal)
image = Image.open("C:/Users/DELL/projects/colon/original... |
"""
Format the characters in the stdin by the given number of spaces
Python 3
Assumptions:
============
* if a word is greater than width, it will NOT be split across the
lines. Instead, the entire word will be printed out
* the line to be read is not larger than available main memory
* input is formatted correctly ... |
#!/usr/bin/env python
import SimpleITK as sitk
import time
import DataPreparation
def main():
outputDirPath = 'C:/ZCU/Diplomka/Dataset/04/RESULTS/Res_Affine_Conv'
# fixed = DataPreparation.readDICOMSerieToImage('C:/ZCU/DATA_FOR_TEST/MRI/TCGA-LIHC/TCGA-K7-AAU7/07-31-2001-MRI ABDOMEN WWO CONTRAST-59507/12... |
import math
columns_and_rows = int(
input('How many columns and rows do you want in your multiplication table? '))
columns = range(1, columns_and_rows + 1)
rows = range(1, columns_and_rows + 1)
digits = int(math.log10(columns_and_rows)) + 1
for column in columns:
r = ''
for row in rows:
r += f'{... |
from datetime import datetime, timedelta
from config import settings
from TwitterAPI import TwitterAPI
from dateutil.parser import parse
from .data.twitter import lists
import csv
import os
description = """ First-person accounts from regions affected by conflict and diaster. """
definition = {
'internalID': 'b3b... |
import numpy as np
import pandas as pd
import random
import geneticAlgorithm.fitnessFunctions as functions
import geneticAlgorithm.experiment as exp
from classes.Encoding import Encoding
lethalityDict = {}
def generateRandomTraps(encoder: Encoding=None, numTraps=100000):
"""Generates numTraps traps uniformly at r... |
import re
import datetime
a_monday = datetime.datetime.strptime('2019-08-19', '%Y-%m-%d')
class Line:
def __init__(self, date, l, sticky, attrs):
self.date = date
self.full = l
self.dist = None
self.dur = None
self.d_pos = None
self.d_neg = None
self.shoes ... |
# Generated by Django 2.2 on 2020-06-12 11:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('biblioteca', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='ejemplar',
name='usuario',
... |
import numpy as np
import matplotlib.pyplot as plt
import pickle
from scipy.optimize import curve_fit
def corrected_rotation(x_arr, mu):
"""
Given an input rotation angle [-180,180), return corrected angle to ensure
such that angle lies within mu-180 and mu+180.
:param x_arr:
:param mu:
:rty... |
from styn import chore
@chore()
def clean():
pass
# Should be marked as chore.
def html():
pass
# References a non chore.
@chore(clean, html)
def android():
pass
|
print('Hello, welcome to true talk')
ans = input('Are you ready to play ? (yes/no): ')
score = 0
total_q = 4
if ans.lower() == 'yes':
ans = input('1. What is the best programming language ? ')
if ans.lower() == 'python':
score += 1
print('Correct')
else:
print('Incorrect'... |
import os
import string
import tarfile
import collections
import requests
from nltk.corpus import stopwords
import numpy as np
import tensorflow as tf
vocabulary_size = 10000
embedding_size = 200
batch_size = 100
num_sampled = int(batch_size/2)
window_size = 2
valid_words = ['cliche', 'love', 'hate', 'silly', 'sad']... |
import unittest
from unittest.mock import patch
from synapses.model import Model
from synapses.activator import ActivatorEnum, StepActivator
from synapses.perceptron import PerceptronInterface
# noinspection PyMethodMayBeStatic
class ModelTests(unittest.TestCase):
def setUp(self) -> None:
self.xor_model_... |
# -*- coding: utf-8 -*-
# @Time : 2021/9/2 15:44
# @Author : CuiShuangqi
# @Email : 1159533975@qq.com
# @File : pytestParaTest.py
import pytest
from selenium import webdriver
from time import sleep
"""
pytest 参数化
当一组测试用例有固定的测试数据时，就可以通过参数化的方式简化测试用例的编写
通过pytest.mark.parametrzie()方法设置参数：
参数名："se... |
#-*- coding = utf-8 -*-
#@Time : 2020/11/3 15:12
#@Author : 冯朗
#@File ： Fit2.py
#@Software : PyCharm
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import leastsq
# 目标函数
def real_func(x):
return np.sin(2 * np.pi * x)
# 多项式
def fit_func(p,x):
f = np.poly1d(p)
return f(x)
# 残差
def ... |
import eventlet
from urllib import request
import random
import datetime
import pandas as pd
import itertools
starttime = datetime.datetime.now()
base_url = "http://splitit.cs.loyola.edu/cgi/splitit.cgi"
max_int = 9999
num_of_splitting = 1
verbose = False
df = pd.read_csv("tmp/cheat_splitting_file.csv", header=None)... |
from collections import defaultdict
import torch
import numpy as np
import pandas as pd
from pytorch_toolbox.callbacks import Callback, LearnerCallback
from pytorch_toolbox.callbacks import hook_output
from pytorch_toolbox.utils import Phase, to_numpy
from pytorch_toolbox.utils.training import flatten_model
class O... |
import unittest
from nose import SkipTest
import numpy as np
from airline_alloc.dataset import Dataset
from airline_alloc.optimization import *
class ObjectiveTestCase(unittest.TestCase):
""" test the get_objective function
"""
def test_3routes(self):
data = Dataset(suffix='after_3routes')
... |
from segmentation.segmentation_abstract import Segmentation
class Probabilistic_old(Segmentation):
def precompute(self,datasetdscr,s_events,a_events,acts):
ws= a_events.groupby('Activity')['Duration'].mean(numeric_only=False)
L=10
w={}
w[0]=min(ws)
w[L]=ws... |
"""
earthpy.spatial
===============
Functions to manipulate spatial raster and vector data.
"""
import os
import sys
import contextlib
import warnings
import numpy as np
from shapely.geometry import mapping, box
import geopandas as gpd
import rasterio as rio
from rasterio.mask import mask
def extent_to_json(ext_ob... |
#coding=utf-8
"""
@Author: Freshield
@Contact: yangyufresh@163.com
@File: bagOfWords2Vec.py
@Time: 2019-12-12 17:33
@Last_update: 2019-12-12 17:33
@Desc: None
@==============================================@
@ _____ _ _ _ _ @
@ | __|___ ___ ___| |_|_|___| |_| | @
@ | __| ... |
import time
def do_my_sum(xs):
sum = 0
for v in xs:
sum += v
return sum
sz = 10000000 # Lets have 10 million elements in the list
testdata = range(sz)
t0 = time.clock()
my_result = do_my_sum(testdata)
t1= time.clock()
print('my result = {0} (time taken = {1:.4f} seconds)'
.format... |
# Copyright 2019 Ondrej Skopek.
#
# 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 applicable law or agreed to in writing... |
from django.shortcuts import render, redirect
from .models import Task
from django.views.generic import CreateView
from .forms import Create_task
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .serializers import TaskSerializer
from .models import Task
from rest_fram... |
import re
strings = (
"-a-",
"-b-",
"-x-",
"-aa-",
"-ab-",
"--",
)
for line in strings:
match = re.search(r'-[abc]-', line)
if match:
print(line)
print('=========================')
for line in strings:
match = re.search(r'-[abc]+-', line)
if match:
print(line)
... |
## 함수 선언부 ##
## 변수 선언부 ##
money, c500, c100, c50, c10 = [0] * 5 # 돈, 동전 500, 동전 100.....
## 메인 코드부 ##
if __name__ == '__main__' :
money = int(input('바꿀 돈 -->'))
c500 = money // 500; money %= 500
c100 = money // 100; money %= 100
c50 = money // 50; money %= 50
c10 = money // 10; money %... |
from django.shortcuts import render, redirect, HttpResponseRedirect
from .models import User, Item
from django.contrib import messages
from django.contrib.auth import logout
def index(request):
return render(request, 'exam/index.html')
def register(request):
viewsResponse = User.objects.add_user(request.POST)... |
from flask import Flask, request, render_template
import pandas as pd
import numpy as np
import pickle
app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))
test=pd.read_csv("insomniaa test.csv",error_bad_lines=False)
x_test=test.drop('insomnia',axis=1)
@app.route('/')
def home():
return render_tem... |
import sys
input = sys.stdin.readline
N, M = map(int, input().split())
count = dict()
for _ in range(N):
word = input().rstrip()
if len(word) < M:
continue
if word in count:
count[word] += 1
else:
count[word] = 1
words = list(count.keys())
words.sort()
words.sort(key=le... |
"""
Zemberek: Turkish Tokenization Example
Java Code Example: https://bit.ly/2PsLOkj
"""
from jpype import JClass, JString
TurkishTokenizer: JClass = JClass('zemberek.tokenization.TurkishTokenizer')
TokenIterator: JClass = JClass(
'zemberek.tokenization.TurkishTokenizer.TokenIterator'
)
Token: JClass = JClass('zem... |
import re #for get_application_base_url
from google.appengine.ext import db #for does_tweet_exist
from storage import TWEETS
# INPUT :: http://www.sample.co.uk:8080/folder/file.htm
# OUTPUT :: http://www.sample.co.uk:8080
def get_application_base_url(current_url):
regex = '(https?://[-\w\.]+(:[0-9]{4})?)'
match = ... |
# Author: Shubham Waghe
# Roll No: 13MF3IM17
# Description: WSD-II Assignment-1
import numpy as np
import matplotlib.pyplot as plt
from random import gauss
import Tkinter as tk
import math
# Given data
READINGS_EACH_DAY = 400
desired_limit = 0.05
p = 0.2
RANGE_VALUE = 3
PLOT_RANGE = 2*p
#Stopping criteria
NO_OF_DAYS =... |
'''
5125->1259. Handshakes That Don't Cross
Difficulty: Hard
You are given an even number of people num_people that stand around a circle and each person shakes hands with someone else,
so that there are num_people / 2 handshakes total.
Return the number of ways these handshakes could occur such that none of the hand... |
#!/usr/bin/env python
# -*- coding: iso-8859-1 -*-
"""DOCS HERE.
"""
# Copyright (C) 2010
# $Id: scene_object_bounding_box.py 1916 2006-11-21 17:21:05Z $
__version__ = "$Revision: 1916 $"[11:-2]
# numpy lib
import numpy as np
# FrustumTracer CORE Classes
from scene_element import *
from scene_element_... |
import unittest
from api.sources.cptec.getter.cptec_api_getter import CptecAPIGetter
class CptecAPIGetterTest(unittest.TestCase):
def setUp(self):
self.__cptec_api_getter = CptecAPIGetter(-22.87216997446473, -48.44871995614285) # Botucatu - SP
def test_retrieving_data_from_api(self):
self.a... |
import sys
def dfs(graph, vertex, visited):
visited[vertex] = True
global result
result += 1
for around_vertex in graph[vertex]:
if not visited[around_vertex]:
dfs(graph, around_vertex, visited)
node = int(input())
graph = [[] for _ in range(node + 1)]
edge = int(input())
for _ in range(edg... |
#dayNum.py
#program that accepts a date as month/day/year, verifies that it is a valid date, and then calculates the corresponding day number.
def main():
month,day,year = input("Enter date in format (mm/dd/yyyy)").split('/')
month = int(month)
day = int(day)
year = int(year)
dayN... |
#
# Working with files
#
def main():
# Open a file for writing and create it if it does not exists
# f = open("textfile.txt", "w+") # w = write, + = create if not exists
# Open a file for appending text at the end
#f = open("textfile.txt", "a") # a = append
# Write lines of data to a file
... |
from time import time, localtime, sleep
class Clock(object):
"""数字时钟"""
def __init__(self, hour=0, minute=0, second=0):
self._hour = hour
self._minute = minute
self._second = second
@classmethod
def now(cls):
ctime = localtime(time())
return cls(ctime.tm_hour, ... |
from threading import Thread
from server_socket import ServerSocket
from socket_wrapper import SocketWrapper
from response_protocol import *
from db import DB
from config import *
class Server(object):
"""服务器"""
def __init__(self):
# 初始化套接字
self.server_socket = ServerSocket()
# 保存客户端连接... |
import numpy as np
from optimization import kernel_optim
def get_representations(types=[]):
representations = []
if types == []:
representations.extend(['STRF', 'FFT', 'STFT', 'CQT'])
return ['STRF', 'FFT', 'STFT', 'CQT']
if 'STRF' in types:
representations.append('STRF')
else:... |
"""
# Definition for a Node.
class Node:
def __init__(self, x: int, next: 'Node' = None, random: 'Node' = None):
self.val = int(x)
self.next = next
self.random = random
"""
# Time: O(N), Space: O(N)
class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
ans_head = prev... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# @date : 2019/5/10
# @author : Rong Ya-feng
# @desc : Chapter 1 : Programming Exercise1
# Case Study:Display the current time(GMT)
"""
import time
currentTime = time.time()
# obtain the total seconds since midnight, Jan 1, 1970
totalSeconds = int(currentTime... |
# -*- coding: utf-8 -*-
from django.test import (
Client,
TestCase,
)
from service_area_mozio.shapes.models import (
Polygon,
Vertex,
)
class PolygonTestCase(TestCase):
def setUp(self):
"""Create basic instances"""
line = Polygon.objects.create(name='line')
Vertex.objects.... |
import win32api
import cv2
import time
import os
import enum
from .CBotDebugState import CBotDebugState
from .extractGameMap import extractGameMap
from .CNavigator import CNavigator
from CMinimapRecognizer import CMinimapRecognizer
class BotState(enum.Enum):
IDLE = 0
MOVING = 1
BATTLE = 2
c... |
has_player = False
def vis_print(*kwargs, end="\n"):
if not has_player:
print(*kwargs, end=end)
# ABSTRACT DECISION CLASS
class Decision:
"""DO NOT INSTANTIATE!"""
def __init__(self, agent):
global has_player
self.agent = agent
if agent.get_name() == "Player":
... |
from django.db import models
class OneGame(models.Model):
slug = models.SlugField(unique=True)
|
# ---------------------------------------------------------------------------------------------------------------------
# sys
import sys
# ---------------------------------------------------------------------------------------------------------------------
# system
from math import sqrt, ceil
# ------------------------... |
from instance_recommender.inventory import Inventory
from unittest import TestCase
import json
import pandas
class TestInventory(TestCase):
def __init__(self, methodName):
super().__init__(methodName)
self.source_path = 'inventory/instances.json'
self.dest_path = '/tmp/test_inventory.json'... |
def ordenar ():
def calcularComision(ventatotal, Objetivo, Sueldoanual):
if ventatotal < ((Objetivo*80)//100):
comision=0
elif ventatotal >= ((Objetivo*80)//100) and ventatotal < Objetivo:
comision= ((Sueldoanual*3)//100)
elif ventatotal >= Objetivo:
comision= ((Sue... |
from src.knn.utils import convert_df_to_np
from src.knn.main import classify
def test_knn(test_df):
np_arr, labels = convert_df_to_np(test_df)
input_data = [1.0, 3.0]
k = 2
result = classify(input_data, np_arr, labels, k)
assert isinstance(result, str)
|
import sys
def combi(n, m):
if dp[n][m] == -1:
if n == m or m == 0:
dp[n][m] = 1
else:
dp[n][m] = combi(n-1, m) + combi(n-1, m-1)
return dp[n][m]
n, m = map(int, sys.stdin.readline().split())
dp = [[-1 for _ in range(n+1)] for _ in range(n+1)]
print(combi(n, m)) |
n = int(input())
for i in range(n):
ox_list = input()
ox_sum = 0
score = 0
for ox in ox_list:
if ox == 'O':
score += 1
else:
score = 0
ox_sum += score
print(ox_sum)
|
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