text stringlengths 38 1.54M |
|---|
"""
This is Lesson 31. Creating a class for an object type
Get Programming: Learn to Code with Python
"""
class Door(object):
def __init__(self):
self.width = 1
self.height = 1
self.open = False
def change_state(self):
self.open = not self.open
def scale_door(self, factor... |
from datetime import datetime
# Usually in KITcube tools, we use parameter 'skip-line' to indicate
# where we should start reading. But, I think checking data type gives
# us a more scalable reader. - NTJ
# Fetch data definitions
SENSOR_DEF = {}
with open('./sensor-definition/jwd.rd.sensors') as f:
sensor_dat... |
def solution(my_string):
answer = []
for char in my_string:
if char not in answer:
answer.append(char)
return ''.join(answer)
|
import numpy as np
import pandas as pd
import os
scores = np.loadtxt('output.txt')
df = pd.read_csv('stage1_sample_submission.csv')
df['Probability'] = scores
df.to_csv('subp.csv', index=False)
|
from util.Tokenizer import Tokenizer
from util.Index import Index
from util import MinHeap
import math
from collections import Counter
class Ranker:
"""
Applying ranking algorithm from query
"""
def __init__(self, index, tokenizer):
assert isinstance(index, Index)
assert isinstance(to... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2018-02-22 16:25
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('newwine', '0027_auto_20180221_2043'),
]
operations = [
migrations.AlterFiel... |
from datetime import datetime
from mock import patch
from model_mommy import mommy
from django.conf import settings
from django.core.urlresolvers import reverse
from django.test import TestCase
from django.contrib.messages.storage.fallback import FallbackStorage
from django.utils import timezone
from booking.models i... |
import numpy as np
import tensorflow as tf
import os,ntpath
import scipy.misc as misc
from math import ceil
import json
import gen_graph
def calculate_shapes(filters,strides,padding):
if padding=="SAME":
l1_out_height = ceil(50. / float(strides[0][1]))
l1_out_width = ceil(50. / float(strides[... |
import discord
import os
from discord.ext import commands, tasks
from itertools import cycle
from pymongo import MongoClient
from utils import get_environment_variable
TOKEN = get_environment_variable("DISCORD_BOT_TOKEN")
PREFIX = '.'
MONGO_CONNECTION_STRING = get_environment_variable("MONGO_CONNECTION_STRING")
DB_C... |
#!/usr/bin/env python
# !-*- coding:utf-8 -*-
import redis
import time
import threading
import os
from bin.base.tool import JsonFileFunc, Path
jff = JsonFileFunc.getInstance()
p = Path.getInstance()
class RedisFunc:
def __init__(self):
self.confPath = p.confDirPath + os.sep + "conf.json"
redisCo... |
# https://codeforces.com/problemset/problem/1506/A
import math
for _ in range(int(input())):
n, m, x = map(int, input().split())
if x % n == 0:
row = n
else:
row = x % n
column = math.ceil(x / n)
print((row - 1) * m + column)
|
# Kivy libs import
# Python libs import
# Personal libs import
#Class of a task
class AppExercise:
# columns used in the csv, in the right order
_dtb_columns = [
"appexercise_id", "exercise_id",
"workout_id", "rep_time",
"rec_time", "series_goal",... |
# -*- coding:utf-8 -*-# Author：hankcs# Date: 2018-06-07 15:25
# 《自然语言处理入门》3.5.1 标准化评测
import sys
import os
# 得到当前根目录
o_path = os.getcwd() # 返回当前工作目录
sys.path.append(o_path) # 添加自己指定的搜索路径
from pyhanlp import *
from book.ch03.E_322_msr import msr_dict, msr_train, msr_model, msr_test, msr_output, msr_gold
from book.ch03.... |
#GET 방식 요청
from urllib.parse import urlencode
from urllib.request import urlopen
query=urlencode({'name':'또치','a':10,'b':20})
f=urlopen('http://www.example.com?' + query)
response=f.read()
print(response)
print('thank you') |
import sys
import pickle
from Player import *
from Board import *
from GoodAI import *
file_name = sys.argv[1]
save_file = open(file_name, 'rb')
player = pickle.load(save_file)
save_file.close()
#player = GoodAI('X')
board = Board()
player.set_sign('X')
turn = 1
while not board.check_for_win() and not board.is_ful... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 30 20:22:41 2020
@author: voide
Prediction avec algorithme knn entrainé avec les mesures statiques
"""
import pickle
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn import metrics
fr... |
"""
# 만든 모델 불러와서 확인
"""
from transformers import BertForMaskedLM, pipeline
import torch
from transformers.utils.dummy_pt_objects import BertForPreTraining, BertModel
from huggingface_konlpy_master.huggingface_konlpy.tokenizers_konlpy import KoNLPyPreTokenizer
from huggingface_konlpy_master.huggingface_konlpy.transfor... |
import math
def radian_to_degree(r):
return r * 180 / math.pi
def degree_to_radian(degree):
return (360 - degree)*math.pi / 180;
def inv_radian_to_degree(r):
return 360 - radian_to_degree(r)
def angle(c, a, b, no_inv=True):
if c[1] == b[1] and c[0] < b[0]:
return 0
elif c[1] == b[1] and ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from facebook import *
import humanRandom
def main(username,password):
""" Opens FacebookClient and posts random status """
fb = FacebookClient(username,password)
humanRandom.searchEngineWaitTime()
print("brithdays...")
fb.happy_birthdays()
... |
__author__ = 'patrickemami'
import os
# important directories
CFG_DIR = 'config'
ROCK_CFG_FILE = 'rock_problem-config.json'
SYS_CFG_FILE = 'system-config.json'
LOG_DIR = 'log'
LOG_FILE = 'POMDPy.log'
dir = os.path.dirname(__file__)
rock_cfg = os.path.join(dir, '..', CFG_DIR, ROCK_CFG_FILE)
sys_cfg = os.path.join(dir... |
from flask import Blueprint, render_template, abort
from jinja2 import TemplateNotFound
main = Blueprint('main', __name__, template_folder='templates')
@main.route('/')
def main_index():
try:
return render_template('index.html')
except TemplateNotFound:
abort(404)
|
from survey import db
from survey.forms import SurveyForm
from survey.models import SurveyModel
from flask import Blueprint, redirect, render_template, url_for
main = Blueprint("main", __name__)
@main.route("/", methods=["GET", "POST"])
def render_survey():
form = SurveyForm()
if form.validate_on_submit():
... |
#!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from std_msgs.msg import Empty
from visualization_msgs.msg import Marker
import time
def detect_tag(data):
#rospy.loginfo(rospy.get_caller_id() + "Detected")
#print data.pose
global detect
detect = 1
def sleep(sec):
while(sec and not rospy.... |
# CEF reader
# William Sexton
# Last Modified: 4/24/17
# Documentation strengthened by Steve Clark on 5/22/18.
"""
This is the reader module for the DAS-2018 instance of the DAS-framework.
It contains a reader class that is a subclass of AbstractDASReader.
The class must contain a method called read.
I... |
class ElementPresentMixIn(object):
""" Support is_element_present_by_* methods for non-javascript drivers. """
def is_element_present_by_css(self, css_selector, wait_time=None):
return bool(self.find_by_css(css_selector))
def is_element_not_present_by_css(self, css_selector, wait_time=None):
... |
def solution(s):
answer = 100000
for n in range(1, len(s)//2 + 2):
new_wrd = process(s, n)
answer = min(answer, len(new_wrd))
return answer
def process(s, n):
ret = ''
tmp = ''
cnt = 0
if s[:n] != s[n: 2*n] or len(s) == 1:
return s
for _ in range(0, len(s) + n, ... |
from tkinter import *
from tkinter.filedialog import askopenfile
from pygame import mixer
from tkinter import messagebox as mb
root = Tk()
root.title("Music player by Vasu")
root.minsize(510,350)
root.maxsize(510,350)
def openfile():
song = askopenfile(filetypes =[('Music Files', '*.mp3')])
mixer.init()
mix... |
import os
import ROOT
conf = dict(
muPt = 10,
elePt = 10,
miniRelIso = 0.4,
sip3d = 8,
dxy = 0.05,
dz = 0.1,
)
ttH_skim_cut = ("nMuon + nElectron >= 2 &&" +
"Sum$(Muon_pt > {muPt} && Muon_miniPFRelIso_all < {miniRelIso} && Muon_sip3d < {sip3d}) +"
... |
from enum import Enum
from flask import Flask
from flask import request, jsonify
from flask_cors import CORS
from rule_list import RuleList
class Season(Enum):
SUMMER = 1
AUTUMN = 2
WINTER = 3
SPRING = 4
class Temperature(Enum):
WARM = 1
TEMPERED = 2
class WaterState(Enum):
RUNNING = ... |
#!/usr/bin/env python
f = open('plvars.py', 'rb')
varlist = []
for l in f.readlines():
x = l.decode('utf')
if ' = ' in x:
varlist.append(x.split(' = ')[0])
f.close()
g = open('playlistmaker.py', 'rb')
h = open('new_pl.py', 'wb')
gg = map(lambda x: x.decode('utf'), g.readlines())
for l in gg:
for v ... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-06 19:31
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('login_app', '0001_initial'),
]
... |
##method 1 for letter request, delta and rank
import sys
import os
import csv
import subprocess
import jsonschema
import json
from datetime import time, datetime, timedelta
import itertools
from itertools import cycle
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.dates as md
import matplotlib as m... |
import numpy as np
from scipy.io import loadmat, savemat
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
train_data = loadmat('train_32x32_pretraitement.mat')
test_data = loadmat('test_32x32_pretraitement.mat')
lentrain = 1000
len... |
from whatsappy import whatsapp
whatsapp.login()
whatsapp.select_chat('Family Group')
whatsapp.remove_from_group('Cousin') # <--
whatsapp.close() |
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import LocalOutlierFactor
import seaborn as sns
from sklearn.ensemble import IsolationForest
sns.set()
"""
数据集是计算机的监控数据，主要包含两个特征Latency(延迟)和Throughput(吞吐量)
目标为是否是异常数据: 0为假，1为真。
"""
X_train = pd.read_csv('data/X_train.csv')
X... |
#!/usr/bin/python
import sys
import random
import argparse
import numpy as np
#parse arguments
parser = argparse.ArgumentParser(description = 'Sample N lines from file using reservoir sampling')
parser.add_argument('n', metavar='number_of_lines' , help = 'Number of lines to sample', type=int)
parser.add_argument('--in... |
from __future__ import absolute_import , unicode_literals
import random
from celery.decorators import task
from main.models import *
import datetime
@task(name="sum_two_numbers")
def add(x , y):
return x + y
@task(name="multiply_two_numbers")
def mul(x , y):
total = x * (y * random.randint(3 , 100))
ret... |
from django.forms.models import model_to_dict
from django.http.response import Http404, HttpResponseBadRequest, HttpResponseForbidden
from django.shortcuts import redirect, render
from django.views import View
from .classes import courses, permissions, sections, users
from .classes.permissions import check_permissions... |
def MintoN(M, N, i, j):
M = M << i
mask = (1 << (j - i) + 1)
print "{0:b}".format(mask)
mask -= 1
print "{0:b}".format(mask)
mask = mask << i
mask = ~mask
print "{0:b}".format(mask)
N = N & mask
return N | M
print "{0:b}".format(MintoN(0b10011, 0b00000000000, 3, 7))
|
# -*- mode: python -*-
a = Analysis(['baboon.py'],
pathex=['/Users/guoxin/DropboxNU/Dropbox/My Research/Code/Python/baboon'],
hiddenimports=[],
hookspath=None,
runtime_hooks=None)
pyz = PYZ(a.pure)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.... |
import bert
import tensorflow as tf
import tensorflow_hub as hub
from bert import optimization
from bert import run_classifier
from bert import tokenization
OUTPUT_DIR = "model/"
LABEL_LIST = [0, 1]
BERT_MODEL_HUB = "https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1"
MAX_SEQ_LENGTH = 128
def create_tokenizer_f... |
#!/usr/bin/python
# Allows to run spectrum and saves data in ASCII
from frospy.preprocessing.spectrum import spectrum
from frospy.preprocessing.spectrum import taper
from frospy.preprocessing.spectrum import printw
import sys
event = sys.argv[1] # Event name
spectrum(data='%s.ahx'%event, syn='%s.ahx.syn.fil'%event, ... |
__author__ = 'nsrivas3'
class Solution:
# @param {integer} n
# @return {boolean}
def isHappy(self, n):
notHappy = 0
iterlist = []
def check(n):
sum1 = 0
while n!=0:
sum1 = sum1 + (n%10)**2
n = int(n/10)
n = sum1
... |
from __future__ import print_function
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from torchvision import datasets, transforms
from torchvision.utils import save_image
from torch.autograd import Variable
seed= 10001
cuda = True
batch_size = 16
# Random seed
t... |
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from epic.core.test import CustomTestCase
from epic.geoloc.models import GeoLoc
from epic.geoloc.utils import CouldNotFindLocation
from epic.geoloc.utils import get_best_location
class GeoLocTestCase(CustomTestCase):
... |
from openpyxl import load_workbook
from openpyxl.chart import Series, Reference
from openpyxl.styles import Font, Color, PatternFill
from copy import deepcopy
import numpy as np
TEMPLATE_FILE = '../utils/template.xlsx'
FINAL_NAME = 'PCIE_ES2.xlsx'
DATA_LINE_INDEX = 0
SIGMA_LINE_INDEX = 7
VMIN_LINE_INDEX = 1
START_POIN... |
import numpy as np
import pickle
# data = torch.randn(5, 10, 3, 10, 64, 64)
chunked_data = np.random.normal(size=(5, 10, 3, 10, 64, 64))
data = np.random.normal(size=(5, 100, 3, 64, 64))
labels = np.ones((5,))
pickle.dump(chunked_data, open("./_data/chunked_data.p", "wb"))
pickle.dump(data, open("./_data/data.p", "w... |
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import include, path, re_path
from django.views import defaults as default_views
from drf_yasg import openapi
from drf_yasg.views import get_schema_view
# drf_yasg
from rest_framework import per... |
__all__ = [ "to_json_string", "from_json_string", "json_fix", "validate_jsonrpc_request", "validate_jsonrpc_response", "jsonrpc_request", "jsonrpc_response" ]
import random, string, logging
import socket
import pkg_resources
pkg_resources.require( "simplejson" )
import simplejson
to_json_string = simplejson.dumps
... |
# 升级步骤
# 1. 下载线上 version 文件
# 2. 读取本地 version 文件
# 3. 比较当前语言下的插件可用更新
# 4. 下载新语言包到暂时位置
# 5. 下载成功后替换本地语言包文件
# 6. 替换成功后重新禁止、启用对应语言包
# 7. 报告更新成功
# 8. 所有更新完成后重写本地 version 文件
import bpy
from .utils import get_languagepack_online, get_version_json_online, get_installed_addons, get_version_json_local, set_version... |
from io import BytesIO
byte_io = BytesIO()
# 向内存写入二进制数据
byte_io.write("哈哈".encode("utf-8"))
# 读取数据，获取写入内存中的全部数据
data = byte_io.getvalue()
print(data)
# 解码
content = data.decode("utf-8")
print(content)
|
# coding=utf-8
# Copyleft 2019 project LXRT.
import os
import collections
import random
import json
import torch
import torch.nn as nn
from torch.utils.data.dataloader import DataLoader
from tqdm import tqdm
import numpy as np
from param import args
from pretrain.qa_answer_table import load_lxmert_qa
from vqa_model... |
num1=int(input('enter first number to multiply: '))
num2=int(input('enter second number to multiply: '))
sum1= (num1 * num2)
print (sum1)
|
from rest_framework_simplejwt import views as jwt_views
from django.urls import path
from . import views
urlpatterns = [
path('token/create', jwt_views.TokenObtainPairView.as_view()),
path('token/refresh/', jwt_views.TokenRefreshView.as_view()),
path('token/verify/', jwt_views.TokenVerifyView.as_view()),
... |
import numpy as np
#KMEANSINITCENTROIDS This function initializes K centroids that are to be
#used in K-Means on the dataset X
# centroids = KMEANSINITCENTROIDS(X, K) returns K initial centroids to be
# used with the K-Means on the dataset X
#
def kMeansInitCentroids(X, K):
randidx = np.random.permutation(X.... |
import io
import os
from PIL import Image, ImageChops
import argparse
try:
import picamera
except:
print("not on pi")
import math
import datetime
from rest_client import ImageRestClient
from tensorflow_prediction import predict_image, load_graph
def image_entropy(img):
"""calculate the entropy of an ima... |
import os
from glob import glob
import pickle
from nose.tools import eq_
from .. import load
from ..utils.py3compat import execfile
DATADIR = os.path.join(os.path.dirname(__file__), 'data')
def load_data(path):
"""Load data from python file"""
ns = {}
execfile(path, ns)
return ns['data']
def valu... |
from time import sleep
from controller import main_controller
from util import window_config
from view import ui, coursor
def main():
# LOGO
ui.clear_console()
ui.display_board(ui.castle_three.split('\n'))
sleep(3.0)
# MAIN MENU
main_controller.main()
if __name__ == '__main__':
window_... |
# Generated by Django 2.2.4 on 2019-09-26 02:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('quinoas', '0007_sample'),
]
operations = [
migrations.AlterField(
model_name='sample',
name='broken_grain',
... |
# Divide-and-conquer algorithm
def divide_and_conquer(arr, val):
lower_bound = 0
upper_bound = len(arr) - 1
ret_val = None
index = (lower_bound + upper_bound) // 2
while lower_bound <= upper_bound:
if arr[index] < val:
lower_bound = index + 1
elif arr[index] > val:
... |
"""
Run this after run_analysis.py
"""
import logging
import numpy as np
import sys
import pickle
import tqdm
from collections import OrderedDict
from astropy.io import fits
from astropy.table import Table
from scipy.special import logsumexp
from scipy import stats
import npm_utils as npm
def lnprob(y, theta, s_m... |
#using elif and try and except for this program
try:
score = raw_input("Enter Score: ")
x = float(score)
if x >= 0 and x <= 1.0:
if x >= 0.9:
print "A"
elif x >= 0.8:
print "B"
elif x >= 0.7:
print "C"
elif x >= 0.6:
print "D"
else:
print "F"
else:
print "not in range"
#it's not good to... |
# This produces a corpus made up of all of the sentences in the brown corpus that are not
# included in verified_analogies.csv or verified_non_analogies.csv
import os, sys
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(CURRENT_DIR))
from personal import root
import nltk
from ... |
import requests
import time
import datetime
import pandas as pd
import csv
from matplotlib import pyplot as plt
import numpy as np
try:
# for Python 2.x
from StringIO import StringIO
except ImportError:
# for Python 3.x
from io import StringIO
def get_bulk_dividends(tickers=[], startdate=1486357200, e... |
# Generated by Django 2.0.5 on 2018-11-15 09:41
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('user_profile', '0029_auto_20181115_0940'),
]
operations = [
migrations.AlterField(
model_name='... |
from django.contrib import admin
from django.urls import path
from django.conf.urls import include
from todolist.views import index
urlpatterns = [
path('admin/', admin.site.urls),
path('todolist/',include('todolist.urls')),
#path('',index,name="TodoList"),
]
|
import actions, world, items, player, tiles
import datetime
from datetime import timedelta
class NPC(object):
def __init__(self, x, y):
self.x= x
self.y= y
self.moves = 0
self.dest = None
self.last =[]
self.nd = {}
def check_sked(self, player, world):
m... |
from flask import Flask# making a flask app, getting the requests
from flask_restful import Api # Resource: required data, Api: making api of an flask app, reqparse: parsing the data
from flask_jwt import JWT # JWT: key for authentication, jwt_required: decorator for authentication , in this case above GET
from securit... |
import unittest
import import_ipynb
import pandas as pd
import numpy as np
import pandas.testing as pd_testing
import numpy.testing as np_testing
from sklearn.cluster import KMeans
class Test(unittest.TestCase):
def setUp(self):
import Activity12_1
self.exercises = Activity12_1
self.disp_url = 'https://raw.git... |
num1 = input(str("Enter num 1:" ))
num2 = input(str("Enter num 2:"))
num1 = int(num1)
num2 = int(num2)
product = num2 * num1
if product > 1000:
print("sum of input numbers is ", num1+num2)
else:
print("product is ", product) |
# -*- coding: utf-8 -*-
# Andrea Castiella Aguirrezabala
# Sharpness DIN 45692
import numpy as np
def calc_sharpness(loudness, specificLoudness):
# Evitar división entre 0
if loudness == 0:
loudness = 1e-8
n = len(specificLoudness)
# Zwicker method
gz_Z = np.ones(n)
for z i... |
from __future__ import unicode_literals
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse
from django.db.models import Q
from django.http import JsonResponse
from django.views.generic import FormView
from .forms import SearchForm
from ra.base.app_settings import RA_ADMIN_SITE_N... |
'''
改变世界坐标轴的上轴
'''
# 将y轴变为世界坐标轴的上轴
cmds.upAxis(ax='y')
# 将x轴变为世界坐标轴的上轴,并旋转视图
cmds.upAxis(ax='x', rv=True)
# 查询当前的世界坐标轴的上轴
cmds.upAxis(q=True, axis=True)
|
# 定义计算求4位整数每位相加的和的函数
# 1234 --——> 10
def unit_sum(number):
'''
计算整数每位相加的结果
:param number: 4位整数
:return: 每位相加的和
'''
result = number % 10
result += number // 10 % 10
result += number // 100 % 10
result += number // 1000
return result
print(unit_sum(1234))
|
import random
from flask import Flask, render_template, request, redirect, session
app = Flask(__name__)
app.secret_key = 'Secrets'
@app.route('/')
def index():
if 'gold' not in session:
session['gold'] = 0
if 'log' not in session:
session['log'] = [] #has to be an array?
return render_template('index.html')
@... |
""""Configuration details"""
import os
import logging
from glob import glob
from datetime import timedelta
from pathlib import Path
from typing import List, Dict, Tuple, Union, Optional
import yaml
from pydantic import BaseModel, Field
logger = logging.getLogger(__name__)
my_path = Path(__file__).parent
# Defaults ... |
import pandas
import pickle
X = pandas.read_csv("test/features.csv")
y = pandas.read_csv("test/target.csv")
with open("model.pickle", "rb") as fd:
model = pickle.load(fd)
r2 = model.score(X, y)
with open("metric.txt", "w") as fd:
fd.write("r2: {:.2f}\n".format(r2))
|
#
#
# Copyright [2015] [Benjamin Marks and Riley Collins]
#
# 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
#
# U... |
import re
import urllib.parse
from typing import Optional, Tuple
from django.db import connection
from django.utils import timezone
from bonobo.accounts.models import CustomUser
from bonobo.shops.entities import GeocodedPlace
from bonobo.shops.models import Shop
class GeocodingUrlParser:
def __init__(self, url)... |
import UTILS.PROMPI_data as pt
import UTILS.ReadParamsTseries as rpt
import numpy as np
import os
import sys
import matplotlib.pyplot as plt
# read input parameters
paramFile = 'param.tseries'
params = rpt.ReadParamsTseries(paramFile)
datadir = params.getForTseries('tseries')['datadir']
endiannes... |
import math
import sys
INF = 999999999999
def rl():
return sys.stdin.readline().rstrip('\n')
for line in sys.stdin:
if(len(line.split()) == 1):
break
k,m = map(int,line.split())
mike = set(map(str,rl().split()))
solve = True
for _ in range(m):
temp = list(map(str,rl().split())... |
from flask import Flask
from flask_cache import Cache
# flask-peewee bindings
from flask_peewee.db import Database
app = Flask(__name__)
app.config.from_object('config.Configuration')
cache_config = {'CACHE_TYPE': 'redis',
'CACHE_REDIS_HOST': 'redis'}
cache = Cache(app, config=cache_config)
cache.ini... |
## CSC320 Winter 2016
## Assignment 2
## (c) Kyros Kutulakos
##
## DISTRIBUTION OF THIS CODE ANY FORM (ELECTRONIC OR OTHERWISE,
## AS-IS, MODIFIED OR IN PART), WITHOUT PRIOR WRITTEN AUTHORIZATION
## BY THE INSTRUCTOR IS STRICTLY PROHIBITED. VIOLATION OF THIS
## POLICY WILL BE CONSIDERED AN ACT OF ACADEMIC DISHONESTY... |
import pandas as pd
df = pd.read_csv('bo.txt', sep='\t')
df = df[['Total Gross']]
print('solo: ', {i[0]: int(i[1].strip()[1:].replace(',', '')) for i in zip(df.index, df['Total Gross'])}) |
# -*- coding: utf-8 -*-
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^city/(?P<pk>[0-9]+)/$', views.CityDetailView.as_view(), name='city.detail'),
url(r'^citylist/$', views.CityView.as_view(), name='city_list'),
url(r'^$', views.index, name='index'),
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import urllib2, time
#-----------------------------------------
serv_id = '16'
siteUrl = 'vsetv.cc'
httpSiteUrl = 'http://' + siteUrl
ttm=0
token=''
def getURL(url, Referer = httpSiteUrl):
req = urllib2.Request(url)
req.add_header('User-Agent', 'Mozilla/5.0 (Windows NT 10.... |
import sys
head_action = ""
head_resource = ""
head_detail = ""
def write_tail():
global head_action
global head_resource
global head_detail
write_msg = "Finish " + head_action + " " + head_resource + "[" + head_detail + "]\r\n"
sys.stdout.write(write_msg)
sys.stdout.flush()
def write_head... |
import numpy
import copy
import random
from Graph import Graph
class StringGenerator:
depth = 0
length = 0
tensor = []
accept=set({})
state = 0
transition=set({})
def __init__(self,tensor_input,state_input,accept_input,symbol_input):
self.tensor = tensor_input
self.accept = accept_input
self.symbol = symbo... |
# Study of the del statement in list comprehensions
def del_practice():
example = [1, 2, 3, 4, 5, 6, 7, 8, 9]
del example[2:4]
return print(example) #Deleta as fatias que são passadas ao argumento
if __name__ == '__main__':
del_practice() |
from django.db import models
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
# Create your models here.
class Profile(models.Model):
user = models.OneToOneField(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
patronymic = models.CharField... |
#!/usr/local/bin/python3
#
# See https://theweeklychallenge.org/blog/perl-weekly-challenge-155
#
#
# Run as: python ch-1.py
#
print ("3 5 7 13 17 19 23 37")
|
# Tipos de datos, condicionales, funciones y modulos
str_1 = "hola"
str_2 = "bienvenido invocador"
int_1 = 45
int_2 = 189
flt_1 = 7.9
flt_2 = 78.6
bool_f = False
none_1 = None
list_1 = list(("pollos", "perros", "conejos"))
list_2 = list(range(1, 6))
tuple_1 = tuple(range(1, 11))
tuple_2 = tuple((11,))
s... |
from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
from kivy.uix.togglebutton import ToggleButton
class LedController(App):
def tgl_led(self, instance):
if instance.state == "down":
instance.text = "on"
else:
instance.text ... |
#
# Write the inverse function day_num which is given a day name, and returns its number:
# test(day_num("Friday"), 5)
# test(day_num("Sunday"), 0)
#test(day_num(day_name(3)), 3)
# test(day_name(day_num("Thursday")), "Thursday")
#
import sys
__author__ = 'petert'
def test(actual, expected):
""" Compare the actu... |
# 显示提示信息
while True:
print("1,点菜")
print("2.呼叫服务员")
print("3.买单")
# 用户输入编号
num = int(input("请输入编号"))
if num == 1:
print("我要点单")
elif num == 2:
print("呼叫服务员")
elif num == 3:
print("我要买单")
|
import torch
from reclib.modules import FieldAwareFactorizationLayer
from reclib.modules.embedders import LinearEmbedder
class FieldAwareFactorizationMachine(torch.nn.Module):
"""
A pytorch implementation of Field-aware Factorization Machine.
Parameters
----------
Reference:
Y Juan, ... |
from os.path import join
from typing_model.models.BERT_models import BaseBERTTyper, ConcatenatedContextBERTTyper, OnlyMentionBERTTyper, OnlyContextBERTTyper
from torch.utils.data import DataLoader
import pickle
from torch.nn import Sigmoid
from collections import defaultdict
import torch
import json
model_path = '../... |
import pymysql
class MysqlClients:
def __init__(self, db="wulianwang", h="127.0.0.1", u="root", p="mysqlshanlai", port=3306):
"""
初始化MySQL连接
:param db: 数据库名字
:param h: 数据库地址
:param u: 数据库用户名
:param p: 数据库用户密码
:param port: 数据库端口
"""
self.host ... |
#!/usr/bin/env python
import roslib
import rospy
import math
import tf
from std_msgs.msg import String
from std_msgs.msg import Float64MultiArray
from sensor_msgs.msg import JointState
from rospy.numpy_msg import numpy_msg
import numpy as np
#from threading import lock
markovMap = [[0, "GNBN", 0, 11, 2, 6], [1, "GBNN"... |
import sys
args=sys.argv
print("type of args:", type(args))
print("type od arge variable",type(args[1]))
for i in args:
print(i)
sum=int(args[1])+int(args[2])
print("sum=",sum)
|
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