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import os
from pathlib import Path
from urllib.parse import urlparse
def get_absolute_path(path: str):
if path.startswith("http") or path.startswith("https"):
return path
else:
try:
if Path(path):
return os.path.abspath(os.path.expanduser(os.path.expandvars(path)))
... |
from typing import Final, List
from aiohttp import web
from aiohttp.web_routedef import RouteDef
from hibernia.server.kvstore.handlers import set_handler, get_handler, del_handler
ROUTES: Final[List[RouteDef]] = [
web.post('/{key}', set_handler),
web.get('/{key}', get_handler),
web.delete('/{key}', del_h... |
from sys import stdin
def IsPrime(x):
for i in range(2, int(x ** 0.5) + 1):
if not x % i:
return False
return True
for x in stdin:
x = x[:-1]
y = x[::-1]
a = IsPrime(int(x))
b = IsPrime(int(y))
if not a:
print("%s is not prime." %x)
elif (a and not ... |
import re
ccd = """
VALUE $fipsf
'01'='Alabama' '02'='Alaska' '04'='Arizona' '05'='Arkansas'
'06'='California' '08'='Colorado' '09'='Connecticut' '10'='Delaware'
'11'='District of Columbia' '12'='Florida' '13'='Georgia'
'15'='Hawa... |
def main():
word = "answer"
numbers = [0, 0, 0, 0]
for i in range(4):
number = int(input())
numbers[i] = number
if((numbers[0] == 9 or numbers[0] == 8) and (numbers[1] == numbers[2]) and (numbers[3] == 9 or numbers[3] == 8)):
word = "ignore"
print(word)
if __name__ == '__ma... |
from globais import BLOSUM_62, PENALIDADE_INDEL
import sys
class Celula:
def __init__(self, valor=None, ponteiro=''):
self.valor = valor
self.ponteiro = ponteiro
def sequencia_arquivo(nome_arquivo):
seq = ''
try:
with open(nome_arquivo, 'r') as arquivo:
for linha in arq... |
import os
from src import webscrape_data
from db.models import TransitLine, View, Location, Anxiety
from flask import Flask, render_template, request
from flask_cors import CORS, cross_origin
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
app = Flask(__name__)
scraper = webscrape_dat... |
"""ChemBase URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-base... |
from pynput import mouse, keyboard
import functools
from queue import Queue
import logging
class MouseEvent():
def __init__(self, action, x, y, button=None, pressed=None, time=None):
self.action = action
self.x = x
self.y = y
class KeyBoardEvent():
def __init__(self, key, time=None):
... |
from pathlib import Path
from dataclasses import dataclass
@dataclass(frozen=True)
class DoccommentLine:
file: Path
"Path for file that originally contained this doc comment."
line: int
"Line in `self.file` that contained this doc comment."
column: int
"Column in `self.file` that contained thi... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by cyy on 2019/10/21
import numpy as np
import os
from sklearn.model_selection import train_test_split
import pandas as pd
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.metrics import confusion_matrix
import matplotlib.pypl... |
print("Nancy Srivastava 1900300109006")
print("hello world")
print("enter the lengths of the triangle sides: ")
a = int(input("a: "))
b = int(input("b: "))
c = int(input("c: "))
if a == b == c:
print("Equilateral triangle")
elif a==b or b==c or c==a:
print("isosceles triangle")
else:
print("Scalene tria... |
fruits1 = ['mango','apple','guava']
# fruits1.append('grapes')
# fruits1.insert(1,'grapes') #to add data to list at a particular position
# print(fruits1)
fruits2=['litchi','pomegranate']
# fruits = fruits1+fruits2 # to conacatenate two list
# print(fruits)
# EXTEND_METHOD
fruits1.extend(fruits2)
fruit... |
from logging import root
from kivymd.app import MDApp
from kivymd.uix.floatlayout import MDFloatLayout
from kivy.properties import ObjectProperty, StringProperty
from kivy.uix.screenmanager import ScreenManager, Screen
from kivymd.uix.picker import MDDatePicker
from kivymd.uix.picker import MDThemePicker
from kivy.core... |
import sdl2
import sdl2.ext
import time
import figures
class Render:
def __init__(self):
"""
Создание инструментов pysdl2 для рисовашек
"""
try:
print("Grafics initializing... ", end = '')
sdl2.ext.init()
self.BLACK_COLOR = sdl2.ext.Color(128, 12... |
from corehq import toggles
from corehq.apps.app_manager.dbaccessors import get_case_types_from_apps
from corehq.apps.app_manager.util import all_case_properties_by_domain
from corehq.apps.data_dictionary.models import CaseProperty, CaseType
from corehq.apps.export.models.new import CaseExportDataSchema
class OldExpor... |
# -*- coding: utf-8 -*-
import pytest
from pangres.helpers import validate_chunksize_param
# # Tests
@pytest.mark.parametrize('value', [-1, 0, 10, 'abc'])
def test_valid_chunksize_values(_, value):
# 10 is the only valid value here
if value == 10:
validate_chunksize_param(value)
return
# ... |
class Solution:
def calculate(self, s: str) -> int:
stack = []
cur = None
operator = None
operand = None
n = len(s)
i = 0
while i < n:
c = s[i]
if c == "(":
stack.append([cur, operator])
cur = None
... |
import numpy as np
import torch, os
from numpy import nan
from CCM import CCM
from DMTS import DMTS
from dmts_frontex import save_data
computer = "cpu"
dev_str = 'cpu'
cores = 6
num_workers = 4 * cores
enc = torch.float64
dev = torch.device(computer)
info = False
reject = False
plot = False
... |
# +,-,*,/,%
a=4
b=2
c =a+b
print(c,type(c))
c= a/b
print(c,type(c)) #by default floating division
c=a//b #// integer division this discards fractional part
print(c,type(c))
c=a*b
print(c,type(c))
c= a-b
print(c,type(c))
b=2.2
c =a-b
print(c,type(c))
# string + opertor is a joining operator |
import torch
import csv
# For Ploting
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
def plot_learning_curve(loss_record, title=''):
'''
Plot learning curve of your DNN (train & dev loss)
'''
total_steps = len(loss_record['train'])
x_1 = range(total_steps)
x_2 = x_1[... |
from io import BytesIO
from dubbo.codec.hessian2 import Decoder, _desc_to_cls_names, _cls_names_to_desc, encode_object, DubboRequest, DubboResponse, DubboHeartBeatResponse, DubboHeartBeatRequest, new_object
from dubbo.java_class import JavaList
def test_encode_object():
assert encode_object(None) == b'N'
asse... |
def a(n):
return n/2 + 1
t = int(raw_input())
for i in range(0,t):
n = int(raw_input())
print a(n)
|
import os
import re
import logging
import logging.config
import time
from emop.lib.emop_settings import EmopSettings
from emop.lib.emop_api import EmopAPI
# from emop.lib.emop_stdlib import EmopStdlib
logger = logging.getLogger('emop')
class EmopBase(object):
def __init__(self, config_path):
self.settin... |
import copy
from typing import List, Tuple
import lightgbm as lgb
import numpy as np
import pandas as pd
from lightgbm import Booster
class LightGBM:
def train_and_predict(
self,
train: pd.DataFrame,
valid: pd.DataFrame,
weight,
categorical_features: List[str],
tar... |
# Sentiment Analysis Module
# Text classifier
# can be apply for any label text as long as they have to categories
# spam msg classifier
# Now we stop shuffling our data, now we know which is positive and which is negative.
import nltk
import random
from nltk.corpus import movie_reviews
from nltk.classify.scikitlearn ... |
import RPi.GPIO as GPIO
import time
output_pins = {
'JETSON_XAVIER': 18,
'JETSON_NANO': 33,
'JETSON_NX': 33,
}
output_pin = output_pins.get(GPIO.model, None)
if output_pin is None:
raise Exception('PWM not supported on this board')
def main():
# Pin Setup:
# Board pin-numbering scheme
GPI... |
from django.shortcuts import redirect, render_to_response, render
from django.contrib.auth import login
from django.contrib.auth.models import User
from django.template.context import RequestContext
from django.contrib.auth.decorators import login_required
from hackaglobal.models import Event, Attendee, HackaCity
from ... |
import ast
from ..df.types import Definition
from ..df.base import op
# Definitions
InputStr = Definition(name="InputStr", primitive="str")
EvaluatedStr = Definition(name="EvaluatedStr", primitive="generic")
@op(
inputs={"str_to_eval": InputStr},
outputs={"str_after_eval": EvaluatedStr},
conditions=[],... |
alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
# --- Match keyword length with message length --- #
def prepKeywd(message, keyword):
keyWdProg = 0
newKeyWd = ""
for i in range(0, len(message)):
keyIndex = i % len(keyword) #modulo divides i by the keyword length then returns the remainder.
... |
import torch
import numpy as np
def make_divisible(v, divisor=8, min_value=None):
if min_value is None:
min_value = divisor
new_v = max(min_value, int(v+divisor/2)//divisor * divisor)
if new_v < 0.9 * v:
new_v += divisor
return new_v
def make_model_name(cfg):
return cfg['model']... |
import random
from collections import deque
import numpy as np
import pygame
from pygame.locals import *
from framework.core import Environment
from framework.environments.snake_objects import *
"""---SnakeAbstract class"""
class SnakeAbstractFramed(Environment):
"""An abstract Reinforcement Learning represent... |
import sys
from time import sleep
import pygame
from bullet import Bullet
from alien import Alien
def check_events(ai_settings, screen, ship, bullets):
"""Respond to keypresses and mouse events"""
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
elif event.type == pygame.KEY... |
import FOL.Alphabet as symb
from FOL.Term import Term, Variable
def exchange_left(s_upper, s_lower):
if s_upper.succedent != s_lower.succedent:
return False
if len(s_upper.antecedent) != len(s_lower.antecedent):
return False
antecedent_uniq = []
for i in range(len(s_upper.antecedent)):... |
from model import cliente
from model import compra
from model import connection
from model import fornecedor
from model import funcionario
from model import gerente
from model import produto
from model import sessao
from model import venda
from model import vendedor |
import os
from flask import Flask, jsonify, request, flash, url_for
from werkzeug.utils import secure_filename
import cv2
import imutils
import numpy as np
import api
UPLOAD_FOLDER = '/Users/iandavisSSD/programming/tp/TP_App_Backend/fileuploads'
ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif'}
app =... |
import subprocess
import sys
import datetime
import os
import logging
from preprocessing import download_dump_files
from preprocessing import strip_text_and_extract_fields
from preprocessing import wiki_dump_to_dataframe_lxml
DOWNLOAD_URL_LIST_FILE = '/home/s2575760/project/wiki_bigdata/resources/wikidumps_source_dow... |
#!/usr/bin/python3
""" Get all states """
import MySQLdb
from sys import argv
if __name__ == '__main__':
"""Get all states"""
conn = MySQLdb.connect(host='localhost', port=3306, user=argv[1],
password=argv[2], db=argv[3])
cur = conn.cursor()
cur.execute("SELECT cities.... |
import json
class KillRecord:
def __init__(self, user_id, user_name, kill_count):
self.user_id = user_id
self.user_name = user_name
self.kill_count = kill_count
def from_json(cls, record_as_json: str):
record = json.loads(record_as_json)
return cls(user_id=record['user_id'], user_name=record['... |
#7-9 主流程封装及错误解决调试
# #coding:utf-8
import sys,requests
sys.path.append(r"../DjangoInterfaceTest")
sys.path.append(r'../DjangoInterface/data')
from base.runmethod import RunMethod
from data.get_data import GetData
class RunTest:
def __init__(self):
self.run_method = RunMethod()
self.data = GetData()
... |
from PyQt5 import QtWidgets ,QtCore, QtGui
from PyQt5.QtWidgets import QMainWindow, QApplication, QLabel, QFileDialog, QAction,QTableWidget
from GUI import Ui_MainWindow
from sound_class import sound
import os
import sys
import matplotlib.pyplot as plot
import librosa
from pydub import AudioSegment
from tempfile impor... |
import unittest
from Range import Range
class TestRange(unittest.TestCase):
def setUp(self):
self.rngObj = Range(3, 8)
def test_contains(self):
self.assertTrue(self.rngObj.contains(4))
self.assertTrue(self.rngObj.contains(7))
self.assertFalse(self.rngObj.contains(-1))
... |
from sc2scout.wrapper.feature.feature_extractor import FeatureExtractor
import math
class ImgLocalFeatExtractor(FeatureExtractor):
def __init__(self, compress_width, local_range):
self.env = None
self._compress_width = compress_width
self._local_range = local_range
self._x_radius = ... |
import datetime
import logging
import threading
import time
from django.conf import settings
from django.contrib.auth.models import User
from djutils.queue.bin.consumer import QueueDaemon
from djutils.queue.decorators import crontab, queue_command, periodic_command
from djutils.queue.queue import QueueCommand, Period... |
import subprocess as sp
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn import linear_model
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from datetime import time
class PrepGenerationData:
def __init__(self,filename... |
import numpy as np
from ZOHA_Optimizer import ZOHA_Sphere_lr_euclid
from insilico_Exp import ExperimentEvolve
#%%
mode_dict = ["inv","lin","exp"]
def optim_result(param):
pop_size = int(param[0,0])
select_rate = param[0,1]
select_size = int(pop_size * select_rate)
lr = param[0,2]
mu_init = param[0,3... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def sum_of_min_and_max(arr):
arr = sorted(arr)
total_sum = arr[0] + arr[-1]
return total_sum
# Examples:
print sum_of_min_and_max([1,2,3,4,5,6,8,9])
# print sum_of_min_and_max([-10,5,10,100]) |
import time,random
def qu_ben(n=2**24):
def a(a,1,h)
if 1<h:
p=par(a,1,h)
q(a,1,p)
a(a;p+1,h)
def par(a,1,h):
piv_in(=r.ran(1,h)
piv=a[piv_in]
i=1-1
j=h+1
while true:
j-=1
if a[j]<=piv:
break
if i>j:
return j
temp=a[i]
a[i]=a[i]
a[j]=temp
starts=time.time()
a=[r.ran(0,n)for i in range(0,n)]
q(a,0,lenb(a)-1)
end=time.ti... |
import sys
import rlogin
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from time import sleep
login_url = "https://ssl.realworld.jp/auth/?site=gendama_jp&rid=&af=&frid=&token=&goto=http%3A%2F%2Fwww.gendama.jp%2Frace"
rloginC... |
'''
Permutes the contents of a canonical array via a bijective mapping each cell in
[1..9] to a new value in [1..9].
'''
import random
def make_mixer():
a = list(range(1, 10))
b = list(range(1, 10))
random.shuffle(a)
random.shuffle(b)
mixer = dict(list(zip(a, b)))
return mixer
def permute_arr... |
from datetime import datetime, timedelta
from airflow import DAG
from airflow.contrib.operators.dataproc_operator import DataprocClusterCreateOperator, \
DataProcPySparkOperator, DataprocClusterDeleteOperator, DataProcSparkOperator
from airflow.utils.trigger_rule import TriggerRule
# Loads of Info here https://air... |
import microcircuit.constants as const
from microcircuit.viz import show
import networkx as nx
from microcircuit.connectome import Connectome
a=nx.DiGraph()
a.add_edge(1,2, {const.CONNECTOME_CHEMICAL_SYNAPSE:1, const.CONNECTOME_ELECTRICAL_SYNAPSE:2})
a.add_edge(2,1, {const.CONNECTOME_ELECTRICAL_SYNAPSE:2})
a.add_edge(... |
import configparser
config=configparser.RawConfigParser()
config.read("./configuration/config.ini")
class ReadConfig:
@staticmethod
def get_base_URL():
url=config.get("Version_4","base_url")
return url
@staticmethod
def get_user_name():
user_name=config.get("Version_4","user_... |
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, TextAreaField
from wtforms.validators import DataRequired
from datetime import datetime
class DeviceForm(FlaskForm):
name = StringField ('Device Name', validators=[DataRequired()] )
macAddress = TextAreaField ('Mac Address' , valida... |
import getpass
import glob
import multiprocessing
import numpy
import os
import subprocess
import time
##################################################
# Safety
##################################################
username = getpass.getuser()
if (username != "sobhatta") :
print "WARNING!!! Probably running ... |
"""[ contains the edit side operator ]"""
from bpy.props import StringProperty, IntVectorProperty, BoolVectorProperty
from bpy.types import Operator
from bpy import ops as O
import bmesh
from ..MaterialManagers import ManagerInstance
class EditSide(Operator):
"""[ allows the editing of one specific side of a me... |
import json
import threading
import time
from datetime import datetime, timedelta
from typing import List
from uuid import uuid4
from acquisition.core.bugsbunny import spin
from acquisition.utils.common import datetime_to_utc, now
from acquisition.utils.logs import log
# pyright: reportMissingImports=false
... |
import math
import termtables as tt
def main(s):
f = open("GCD.txt", "w")
for i in range(0, len(s)):
a = s[i][0]
b = s[i][1]
q = math.floor(a / b)
r = a - q * b
out = "{:d} = {:d}({:d}) + {:d}".format(int(a), int(b), int(q), int(r))
f.write(out + "\n")
ll... |
import unittest
from DNSQuestionSection import DNSQuestionSection
class DNSQuestionSectionTest(unittest.TestCase):
def test_construct_qname(self):
qsection = DNSQuestionSection('www.naver.com', 1, 1)
self.assertEqual(qsection.to_bytes(), b'\x03www\x05naver\x03com\x00\x00\x01\x00\x01')
if __name... |
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, RadioField
from wtforms.validators import DataRequired
class TweetForm(FlaskForm):
#ID = IntegerField('tID', validators=[DataRequired()])
#givenID = IntegerField('givenID')
selected_text = StringField('Selected Text')
#given_... |
#!/usr/bin/python3
'''
Este Script recopilará los datos del estudio del Proyecto de Fin de Grado - ASIR 2019/2020
Describiré diferentes funciones que recopilaran los datos de las pruebas, serán almacenadas en formato CSV.
Los datos que recopilaré son:
RAM usado por la aplicacion
Uso de lectura de disco
Uso... |
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.views.generic import DeleteView, UpdateView
from django.contrib.auth.models import User
from django.core.paginator import Paginator
from django.http import JsonResponse
fr... |
from scrapy import Spider
from scrapy.selector import Selector
from news.items import NewsItem
from news.spiders.src import topic
class NewsSpider(Spider):
#subscribe = Topic()
my_url = "https://www.ndtv.com/topic/"
#strng = subscribe.topic()
content = topic().replace(" ","-")
name = 'news'
allowed_domains = ["... |
import boto3
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
def lambda_handler(event, context):
ses = boto3.client("ses")
s3 = boto3.client("s3")
client = boto3.client("rekognition")
for i in event[... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
from pwn import *
exe = context.binary = ELF('babyformat')
def start(argv=[], *a, **kw):
'''Start the exploit against the target.'''
if args.GDB:
return gdb.debug([exe.path] + argv, gdbscript=gdbscript, *a, **kw)
else:
if args.REMOTE:
... |
#!/usr/bin/python
# -*- coding: utf_8 -*-
# By Flip Wester (flip_wester@sil.org)
###############################################################################
################################ INTRODUCTION #################################
#############################################################################... |
import sys
from xpectacle.active_window import ActiveWindow
x, y, width, height = map(int, sys.argv[1:])
ActiveWindow().move(x=x, y=y).resize(width=width, height=height).apply() |
from SimPy.Simulation import activate, reactivate, now, hold, Process
from trace import Tracer
from record import ecorecord as record
from market import Bid
from messages import *
from traders.buyer import Buyer
from traders.processes import *
class SBBuyer(Buyer):
def __init__(self, job, rationale, ttl=2, **kw):... |
def isLeaf(node):
if node is not None and node.left is None and node.right is None:
return True
return False
def boundaryOfBT(root):
temp = root.left
left_boudnary = [root.val]
while temp is not None:
if not isLeaf(temp)
left_boudnary.append(temp.val)
if temp.le... |
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
import numpy as np
from keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
def create_tf_idf(tweets):
"""
Creates tf-idf features.
It fits a vectorizer in the training d... |
import argparse
from code.front_end.parser import run
from code.utils.directory import input_path,output_path
'''
Content principal compiler routines
'''
# todo make the compiler
# todo please use venv while make the compiler
print("Vamos a correr el Compilador en el path de input:")
print(input_path)
print... |
import unittest
from unittest import mock
from mopidy_alsamixer import Extension, mixer
class ExtensionTest(unittest.TestCase):
def test_get_default_config(self):
ext = Extension()
config = ext.get_default_config()
self.assertIn("[alsamixer]", config)
self.assertIn("enabled = tr... |
def solution(cb, cy):
# x + y = (cb + 4) / 2
# total num of tiles: x * y = cb + cy
# ax^2 + bx + c = 0
a = 1
b = -int((cb + 4) / 2)
c = cb + cy
x = (-b + int((b**2) - 4 * a * c) ** 0.5) / (2 * a)
y = -b - x
return [x, y] |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
#import os
#my_dir = os.getcwd()
#os.chdir(my_dir)
#import sys
import pandas as pd
import numpy as np
#import scipy.fft
import streamlit as st
import plotly.express as px
from streamlit_multiApp import MultiApp
from tdi_ca... |
#
# Copyright 2017 XEBIALABS
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, subli... |
# encoding:utf-8
import os
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import datetime
from matplotlib.ticker import MultipleLocator
import matplotlib.dates as mdate
import pandas
import csv
now = datetime.datetime.now()
now.strftime('%Y-%m-%d %H:%M')
nowtime = now.strftime('%... |
from models.Conexion import Conexion
from models.entities.Persona import Persona
class PersonaModel(Conexion):
def getTable(self):
self.conectar()
if self.conexion:
cursor = self.conexion.cursor()
sql = "SELECT codigo, nombre, apellido, fecha_nacimiento FROM persona;"
... |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import datasets,linear_model
def get_data(filename):
data = pd.read_csv(filename)
X_parameter=[]
Y_parameter = []
# print data
# print zip(data['square_feet'],data['price'])
for single_square_feet,single_price_va... |
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import GridSearchCV
from datetime import datetime
import hashlib
import pickle
# 読み込み
df_train = pd.read_csv("./data/train_prep_nontree_base.csv")
... |
import sys
T = int(sys.stdin.readline().strip())
for it in xrange(T):
k, c, s = map(int, sys.stdin.readline().strip().split())
print "Case #%d:" % (it + 1), " ".join(map(lambda x: str(1 + x * k ** (c - 1)), xrange(k))) |
n=13
print n
while (n!=1):
if ((n%2)==0):
n=n/2
print n
else:
n=(n*3)+1
print n
#with break
n=13
print n
while (True):
if (n == 1):
break
if ((n%2)==0):
n=n/2
print n
else:
n=(n*3)+1
print n |
chemin_absolubis = 'C:\\Users\\jujug\\OneDrive - mines-paristech.fr\\Documents\\Mines\\1A\\EC\\Mini-projet\\repo_git\\' #à adapter à chaque ordinateur
chemin_absolu = 'C:\\Users\\cotil\\Desktop\\COURS\\Mines\\Energie_et_societe\\Poster\\PopulationEtEnergie\\'
import sys
sys.path.append(chemin_absolu + 'populationeten... |
"""\
The Most Wanted Letter
You are given a text, which contains different english letters and
punctuation symbols. You should find the most frequent letter in the text.
The letter returned must be in lower case.
While checking for the most wanted letter, casing does not matter, so for
the purp... |
#----------------------------------------------------------------------------------
# Module shareGraphicFunction: there are functions that are shared between graphic modules
#----------------------------------------------------------------------------------
#-----------------------------------------------------------... |
import os
import sys
import numpy as np
import scipy.io
import scipy.misc
import tensorflow as tf
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
from nst_utils import *
import imageio
from PIL import Image
import shutil
"""
Input Parameters - Start
"""
content_img_path = '/Users/adeelqureshi/Dow... |
import numpy as np
import ConnectionDB as Connection
''' Constantes '''
IDMODEL = 6
def insertCoordinates(params):
try:
conn = Connection.createConnectionSQLServer()
with conn.cursor() as cursor:
query = "INSERT INTO cc_locationCol (id, code, longitude, latitude) VALUES (?,?,?,?)"
... |
from pyflann import *
from pyflann.exceptions import FLANNException
import numpy as np
from figet.utils import get_logging
from figet.Constants import COARSE_FLAG, FINE_FLAG, UF_FLAG
from figet.hyperbolic import poincare_distance
import torch
from operator import itemgetter
log = get_logging()
cos_sim_func = torch.nn... |
from mrjob.job import MRJob
from mrjob.step import MRStep
import heapq
# Number of top items to capture
TopN = 10
#
# By default mrjob executes mapper_init, mapper, mapper_final, reducer_init,
# reducer and reducer_final
#
# Run with:
# python ./TopN.py --jobconf mapreduce.job.reduces=1 --jobconf mapreduce.job.m... |
import doc2topic
from py2neo import Graph, Node, Relationship
import threading
import re
import requests
from flask import Flask, json, request
import time
import os
import file_map
app = Flask(__name__)
class Graph2(Graph):
def exists(self, node):
found_nodes = list(self.find('document', property_key='doc... |
import matplotlib.pyplot as plt
import numpy as np
import cv2
import os
from ..configs import config
from ..modules import dataset as ds
from ..modules import metrics as ms
LABEL_COLOUR = {
1: (1., 1., 1.),
0: (1., .6, .6),
-1: (1., 1., 1.)
}
def visualize_bbox(img, bbox, category_id_to_name, colour=LAB... |
# -*- coding: utf-8 -*-
import pymysql
from Bigfish.web_utils.connection import conn
class runtime_data():
def __init__(self,userid):
self._userid=userid
self._conn=conn
def __del__(self):
self._conn.close()
def get_code(self):
cur = conn.cursor(pymysql.cursors.DictCursor... |
import re
import datetime
def time_parser(event):
regex = re.findall(r'[0-9]{4}|[0-9]{2}-[0-9]{2}|[0-9]{2}:[0-9]{2}', event.postback.params["datetime"])
if(len(regex)==3):
str = regex[0] + '-' + regex[1] + ' ' + regex[2]
date = datetime.datetime.strptime(str, '%Y-%m-%d %H:%M')
return date
def ... |
"""Point-mass domain."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import numpy as np
from dm_control import mujoco
from dm_control.rl import control
from dm_control.suite import base
from dm_control.suite import common
from dm_con... |
def numrepeatfrac(n):
decimal = str(n)
if decimal[0] == decimal[1] or decimal[1] == decimal[2]:
return 1
for x in range(1,len(decimal)/2):
if decimal[0:x] == decimal[x:x+x]:
return x
y = 0
z = 0
for x in range(999,2,-1):
tempnum = numrepeatfrac(10**5000/x)
if tempnum > y... |
"""Configurable for configuring the IPython inline backend
This module does not import anything from matplotlib.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the BSD 3-Clause License.
from traitlets.config.configurable import SingletonConfigurable
from traitlets import (
Dict, I... |
import urllib.request as req
import urllib.parse as parse
from django.http import HttpResponse
def index(request):
url = parse.quote(request.GET.get('url'))
url = url.replace('%3A', ':')
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) Firefox/106.0.1',
'Accept': 'text/html,appli... |
# coding=utf-8
from typing import List
# 执行用时：40 ms, 在所有 Python3 提交中击败了60.05%的用户
# 内存消耗：14.8 MB, 在所有 Python3 提交中击败了80.38%的用户
class Solution:
def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
n = len(matrix); m = len(matrix[0])
dx = [0, 1, 0, -1]; dy = [1, 0, -1, 0]
st = [[False ... |
import utils
def main():
users = utils.getUsers()
todos = utils.getTodoItems()
for user in users:
userTodos = [t for t in todos if t.userId == user.id]
print("{} ({})".format(user.name, len(userTodos)))
if __name__ == '__main__':
main()
|
# coding: utf-8
import flopy
import os
import sys
import config
import SGD
import re
import ast
from pathlib import Path,PureWindowsPath
import utils
d = utils.read_ref()
ws = Path(d['model_ws'])
fname = [f for f in ws.iterdir() if f.suffix == '.nam'][0]
m = flopy.seawat.Seawat.load(str(fname),exe_name = config.swe... |
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