text stringlengths 8 6.05M |
|---|
import random
lower = "abcdefghjiklmnopqrstuvwxyz"
upper = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
numbers = "0123456789"
symbols = "!”#$%&'()*+,-./:;<=>?@[]^_`{|}~"
characters = lower + upper + numbers + symbols
password = "".join(random.sample(characters, random.randint(8, 25)))
print(password) |
#! /usr/bin/env python
def f(x):
return x**3 - 1
def nwtn_meth(f,x_0,i):
"""nwtn_meth(f,x_0,i) Finds one of the roots of formula f, using newton's method
starting at point x_0 and iterating over i iterations"""
import num_diff
grad = num_diff.num_diff(f, x_0, 0.0001)
x_j = x_0
for j in range(i):
x_j_new = x... |
# Given a string, you need to reverse the order of characters in each
# word within a sentence while still preserving whitespace
# and initial word order.
class Solution:
def reverseWords(self, s):
return " ".join([word[::-1] for word in s.split()])
if __name__ == "__main__":
testinput = "L... |
from squirrel.config import register_config
@register_config('valid')
def build_valid_config(parser):
parser.add_argument(
'--valid_batch_size',
type=int,
default=2048,
help='# of tokens processed per batch')
parser.add_argument(
'--valid_maxlen',
type=int,
... |
#!/usr/bin/env /data/mta/Script/Python3.8/envs/ska3-shiny/bin/python
#############################################################################
# #
# mta_common_functions.py: colleciton of funtions used by mta #
# ... |
# -*- coding: utf8 -*-
# [학번] [이름]
# https://wikidocs.net/13 <- 이 웹사이트 내용을 참고하여 아래 각 행 출력 내용을 예상하시오
# 실행 결과와 예상을 비교하시오
print("1234567890" * 4)
# print(math.pi)
# 예상 : 3.14159265359
# 결과 : 3.14159265359
# print("%f" % math.pi)
# 예상 :
# 결과 :
# print("%d" % math.pi)
# 예상 :
# 결과 :
# print("%5d" % math.pi)
# 예상 :
# 결과 :
#... |
f_path=open("ticket.txt","r")
lines=f_path.readlines()
lines="".join(lines).split(";")
newlines=[]
for x in lines:
newlines.append(x.replace("\n",""))
print(newlines)
|
# KVM-based Discoverable Cloudlet (KD-Cloudlet)
# Copyright (c) 2015 Carnegie Mellon University.
# All Rights Reserved.
#
# THIS SOFTWARE IS PROVIDED "AS IS," WITH NO WARRANTIES WHATSOEVER. CARNEGIE MELLON UNIVERSITY EXPRESSLY DISCLAIMS TO THE FULLEST EXTENT PERMITTEDBY LAW ALL EXPRESS, IMPLIED, AND STATUTORY WARRANT... |
import torch
import cv2
from .modules.darknet import Darknet
from ..utils.image_preprocess import to_tensor, prepare_raw_imgs
from ..utils.utils import load_classes, get_correct_path
from ..utils.bbox import non_max_suppression, rescale_boxes_with_pad, diff_cls_nms
class CarLocator():
def __init__(self, cfg):
... |
import numpy as np
import cv2, math, sys
def get_val(img, x, y):
if x < 0 or x > img.shape[0]-1 or y < 0 or y > img.shape[1]-1:
return 0
return img[x, y]
def get_neighbors(img, origin, sizes):
neighbors = np.zeros((sizes[0], sizes[1]), int)
half = sizes[0] / 2
x = origin[0]
y = origin[1]
for row in... |
# -*- coding: utf-8 -*-
from time import sleep
import math, random
import sqlite3
from threading import Thread
from Battery import Battery
from drone_state import DroneState
from Log import Log as l
from threading import Thread, Lock
from utils import *
from parametersModel import oneSecond
#from Simulator import main... |
class Persegi:
def __init__ (self, panjang, lebar) :
self.panjang = panjang
self.lebar = lebar
self.luas = panjang * lebar
def itung (self):
print (f'Luas Persegi Panjang anda sebesar {self.luas}')
panjang = int(input("Tentukan Panjang Dari Persegi Panjang Anda : "))
lebar = in... |
from collections import namedtuple, deque
import numpy as np
import copy
import random
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class ReplayBuffer:
"""Fixed-size buffer to store experience tuples."""
def __init__(self, action_size, buffer_size, batch_size, seed):... |
from django.db import models
from django.db.models.query import QuerySet
from django.utils.translation import ugettext_lazy as _
class TeamMixin(object):
pass
class TeamQuerySet(QuerySet, TeamMixin):
pass
class TeamManager(models.Manager, TeamMixin):
def get_queryset(self):
return TeamQuerySe... |
h,w = map(int,input().split())
field = []
xx = [-1, -1, -1, 0, 0, 1, 1, 1]
yy = [-1, 0, 1, -1, 1, -1, 0, 1]
for i in range(h):
field.append(input())
for i in range(h):
line = ''
for j in range(w):
if field[i][j] == '#':
line += '#'
else:
temp = 0
for x,y ... |
#!/usr/local/bin/python
import os
import sys
import json
import pickle
#Sagemaker directory structure
prefix = '/opt/ml/'
input_path = prefix + 'input/data'
output_path = os.path.join(prefix, 'output')
model_path = os.path.join(prefix, 'model')
param_path = os.path.join(prefix, 'input/config/hyperparameters.json')
inp... |
from itertools import combinations
#operator.le()
x = "5 1 4 2 3".split()
perms = []
y = []
for i in range(2, len(x)+1):
for c in combinations(x, i):
perms.append("".join(c))
for i in range(0, len(perms)):
x = list(perms[i])
if (x == sorted(x)):
y.append("".join(str(x))... |
from django.test import TestCase
from django.db.utils import IntegrityError
from products.models import Category, Product, ProductType
def model_setup():
prod_type_female = ProductType.objects.create(name='Footwear', sex='Female')
prod_type_male = ProductType.objects.create(name='Footwear', sex='Male')
... |
#!/usr/bin/env python
"""
pyjld.phidgets.erl_manager.erl_server
"""
__author__ = "Jean-Lou Dupont"
__email = "python (at) jldupont.com"
__fileid = "$Id: erl_server.py 77 2009-05-04 18:10:24Z jeanlou.dupont $"
__all__ = ['',]
class ErlServer(object):
"""
"""
def __init__(self):
pass
... |
import requests
from urllib.request import urlopen, Request
from bs4 import BeautifulSoup
import re
import os
import gzip
import json
'''
测试网页httpbin.org
Attention:
1.网址中的参数有中文报错，要变成编码形式。e.g. name=周杰伦 --->name=%E5%91%A8%E6%9D%B0%E4%BC%A6
'''
url = 'http://tool.liumingye.cn/music/?page=audioPage&type=migu&n... |
"""
我的哈希的理解:
1. 哈希是一种一一映射方法
2. 它需要保证对不同的对象生成的哈希值不可以相同
3. 哈希过程很快
4. 也叫散列技术
"""
print(hash('sdg')) |
# -*- coding: utf-8 -*-
import math
import time
import random
from heap import *
h = 0 # Global räknare för Vertex-ID:n
d = 2
# Djikstras algoritm
# G is the graph
# s is the starting node
# e is the ending node
def djikstra(G, s, e):
unvisited = [] # Here we can do variations of d
visited = []
for i in G: # Runs i... |
from telegram import InlineKeyboardButton
from core.models import UserPreference
from intent import Intent, IntentType
from chatgpt_model import model_names, get_next_model
def ask_button():
return InlineKeyboardButton(
text=f'Задать вопрос',
switch_inline_query_current_chat='',
)
def eco_m... |
import ast
import sys
import difflib
from textwrap import indent
import numpy as np
import numpydoc.docscrape
def w(orig):
ll = []
for l in orig:
if l[0] in "+-":
# ll.append(l.replace(' ', '⎵'))
ll.append(l.replace(" ", "·"))
else:
ll.append(l)
lll =... |
# On a N * N grid, we place some 1 * 1 * 1 cubes that are axis-aligned
# with the x, y, and z axes.
#
# Each value v = grid[i][j] represents a tower of v cubes placed on top
# of grid cell (i, j).
#
# Now we view the projection of these cubes onto the xy, yz, and zx planes.
#
# A projection is like a ... |
def main():
i = 0
for i in range(0,101,2):
print(i)
for i in range(0,101,2):
print(100-i)
main() |
# coding:utf-8
# --------------------------------------------------------
# Pytorch multi-GPU Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Jiasen Lu, Jianwei Yang, based on code from Ross Girshick
# --------------------------------------------------------
from __future__ import a... |
from operator import add, mul as multiply, div as divide,\
mod, pow as exponent, sub as subt
# add = lambda a, b: a + b
# multiply = lambda a, b: a * b
# divide = lambda a, b: a / b
# mod = lambda a, b: a % b
# exponent = lambda a, b: a ** b
# subt = lambda a, b: a - b
|
from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
import json
# If modifying these scopes, delete the file token.pickle.
SCOPES = ['https://www.googleap... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 4 16:01:17 2019
@author: Administrator
"""
import numpy as np
import matplotlib.pyplot as plt
my_bid = 215
my_bid_cnt = 3
op_bid_start = 180
op_bid_end = 220
op_bid_cnt = 1
bid_step = 0.1
my_offer = 215
def calc_base(mb,mbc,opbs,opbe,opbc,bid_step):
... |
from flask import Flask, request, Response
from rdflib import Graph, URIRef
app = Flask(__name__)
import pickle
import nif_system
import json
#fullText = URIRef("http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#isString")
#entityMention = URIRef("http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-... |
class FunctionalError(Exception):
"""Base class for all 'normal' errors of the API"""
pass
# ---
class ExistenceError(FunctionalError):
pass
class KeyDoesNotExist(ExistenceError):
pass
class KeyAlreadyExists(ExistenceError):
pass
class KeystoreDoesNotExist(ExistenceError):
pass
clas... |
from django.conf import settings
MERCHANT_ID = getattr(settings, 'DJANGO_W1_MERCHANT_ID', '')
SIGN_METHOD = getattr(settings, 'DJANGO_W1_SIGN_METHOD', None)
SECRET_KEY = getattr(settings, 'DJANGO_W1_SECRET_KEY', '')
SUCCESS_URL = getattr(settings, 'DJANGO_W1_SUCCESS_URL', '')
FAIL_URL = getattr(settings, 'DJANGO_... |
"""
CCT 建模优化代码
二维曲线段
作者：赵润晓
日期：2021年4月27日
"""
import multiprocessing # since v0.1.1 多线程计算
import time # since v0.1.1 统计计算时长
from typing import Callable, Dict, Generic, Iterable, List, NoReturn, Optional, Tuple, TypeVar, Union
import matplotlib.pyplot as plt
import math
import random # since v0.1.1 随机数
import sys
i... |
# -*- coding: utf-8 -*-
"""dfVFS helpers."""
from dfvfs.helpers import command_line as dfvfs_command_line
from dfvfs.helpers import volume_scanner as dfvfs_volume_scanner
from dfvfs.lib import definitions as dfvfs_definitions
from dfvfs.path import factory as path_spec_factory
from dfvfs.resolver import resolver as df... |
def int_list(list):
return [i if isinstance(i, int) else 0 for i in list]
print(int_list(["a",1,"b",2,"c",3])) |
from math import pi
import numpy as np
def Critical_Stress(height, width, t, sigma_y = 240*10**6, E = 69*10**9, v = 0.33, n = 0.6, alpha = 0.8):
def sigma_cc_over_sigma_y(b, C = 4, t = t, sigma_y = sigma_y, E = E, v = v, n = n, alpha = alpha):
sigma_cc_over_sigma_y = alpha*((C*(pi**2)*E*t**2)/(sigma_y*12*... |
def odd_one(arr):
for i,x in enumerate(arr):
if x%2!=0:
return i
return -1
'''
Create a method that takes an array/list as an input,
and outputs the index at which the sole odd number is located.
This method should work with arrays with negative numbers. If there are
no odd numbers in th... |
ft = open("/Volumes/PUBLIC/Everyone/corpus/rakuten-2016-/matome/201002-04.tsv","w")
count = 0
for i in rang(2,5):
f = open("/Volumes/PUBLIC/Everyone/corpus/rakuten-2016-/review/ichiba04_review20100"+str(i)+"_20140221.tsv")
for line in f:
ft.write(line)
ft.close()
|
import logging
from model.sileg.designation.designation import Designation
from model.sileg.place.place import Place
from model.sileg.position.position import Position
from model.users.users import User
class SilegModel:
@classmethod
def getEconoPageDataUser(cls, con, userId):
designationIds = Design... |
from fabric.api import env as _env
TARGET_LIVE = _env.get("live", None)
VIRTUALENV_ROOT = "~/virtualenv"
PROJECT_NAME = "pikapika" if TARGET_LIVE else "pikapika-saber"
REMOTE_PYTHON_EXEC = "python2.7"
MAIN_PACKAGE = "pikapika"
print ("Target: " + PROJECT_NAME)
|
# Generated by Django 2.2.3 on 2019-07-10 09:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('DBStorage', '0011_auto_20190710_0902'),
]
operations = [
migrations.RemoveField(
model_name='giftanswers',
name='gif... |
class Solution:
# @param A : tuple of integers
# @return an integer
def maxSubArray(self, A):
curr_max = A[0]
max_so_far = A[0]
for i in range(len(A)):
curr_max = max(curr_max + A[i],A[i]);
max_so_far = max(max_so_far,curr_max);
retur... |
import pygame
import time
tank1_image = 'global image1'
tank2_image = 'global image2'
bullet_image = 'global bullet'
class Player():
def __init__(self, x, y, tank_image_file, place, dir_lurd, hp):
self.x = x
self.y = y
self.tank_velocity = 10
self.bullet_velocity = 20
sel... |
def read_from_file(file_name:str) -> str:
with open(file_name, 'r') as file:
return file.read() |
counts = dict()
names = ['jane', 'tom', 'jhon', 'tom']
for name in names:
counts[name] = counts.get(name, 0) + 1
print(counts)
|
"""
Processes Finngen's manifest to extract all studies and their metadata in the OTG format.
"""
# coding: utf-8
import argparse
from collections import OrderedDict
import logging
import numpy as np
import pandas as pd
def main(input_path: str, output_path: str) -> None:
logging.basicConfig(format="%(asctime)... |
import torch
import numpy as np
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
from sklearn.model_selection import train_test_split
# 读取原始数据，并划分训练集和测试集
raw_data = np.loadtxt('diabetes.csv', delimiter=',', dtype=np.float32)
X = raw_data[:, :-1]
y = raw_data[:, [-1]]
Xtrain, Xtest, Ytrain, ... |
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('injury_data.tsv', sep='\t')
df['2020/21 proj'] = df['2020/21'] * 3
COLS = ["2016/17", "2017/18", "2018/19", "2019/20", "2020/21"]
PRIOR_YEARS = ["2016/17", "2017/18", "2018/19", "2019/20"]
# Injuries this year
res = df[['Country', 'Club', '202... |
import logging , requests , lxml.html , os
from urllib.parse import urljoin
import pickle
def save_cookies(session,filename):
with open(filename, 'wb') as f:
pickle.dump(session.cookies, f)
def load_cookies(session,filename):
with open(filename,'rb') as f:
session.cookies.updat... |
class YearResult:
def __init__(self):
self.modules = []
def total_credits(self):
total_credits = 0
for m in self.modules:
total_credits += m.credits
return total_credits
def get_result(self):
total_credits = self.total_credits()
total_result = 0
... |
# coding:utf-8
import os, sys
# import pandas as pd
from glob import glob
from os import path
wildchar_dict = {'mapl8': ['/L*B[4-6].TIF', '/L*BQA.TIF', '/L*MTL.txt'],
'mapl57': ['/L*B[3-5].TIF', '/L*BQA.TIF', '/L*MTL.txt'],
'raw': ['']}
def parse_url(url, craft='LANDSAT'):
if cra... |
import random
element_1=[]
element_2=[]
player_1=0
player_2=0
for i in range(5):
element_1=random.randint(1,6)
element_2=random.randint(1,6)
player_1+=element_1
player_2+=element_2
print ("player 1 =", element_1)
print ("player 2 =", element_2)
print("player 1 has", player_1, "points whil... |
from math import sqrt, exp, floor, pi
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append('../lab1')
import distributions as dst
def kernel_function(x: float):
return exp(-x*x/2)/sqrt(2*pi)
def kernel_approximation(xs: np.ndarray, sel: np.ndarray, k):
n = len(sel)
s = sqrt((se... |
from src.character.player import Player
from src.character.class_.standart import Warrior, Wizard
from .notification import ShowPlayerStats
from . import BaseScene, Quit
class Menu(BaseScene):
def exit(self, game):
pass
def execute(self, game):
text = [ 'Привет. Это моя игра в консоли.',
'1... |
import os
import tempfile
#################################################################################################
# #
# Wrapper Function #... |
import pygame
import sys
from pygame.locals import *
import time
from lib.apple import Apple
from lib.player import Player
WINDOW_WIDTH = 1280
WINDOW_HEIGHT = 736
white = (255, 255, 255)
black = (0, 0, 0)
blue = (0, 0, 128)
class App:
def main(self):
pygame.init()
self.DISPLAYSURF = pygame.disp... |
#!/usr/bin/python
import sys
import boto.ec2
instance_id = sys.argv[1]
print(instance_id + 'will be terminated')
conn = boto.ec2.connect_to_region("us-east-2",
aws_access_key_id="",
aws_secret_access_key=""
)
conn.terminate_instances(instance_ids=[instance_id])
|
import multiprocessing
import time
import contextlib
import requests
import selenium.webdriver as webdriver
import apl
from constants import driver_path, hapag_url, backup_msc_url
import cosco
from database import get_containers_by_steamship, update_container_eta, update_container_tracing
import hpl
import msc
import... |
import unittest
from neo.rawio.plexonrawio import PlexonRawIO
from neo.test.rawiotest.common_rawio_test import BaseTestRawIO
class TestPlexonRawIO(BaseTestRawIO, unittest.TestCase, ):
rawioclass = PlexonRawIO
files_to_download = [
'File_plexon_1.plx',
'File_plexon_2.plx',
'File_plexo... |
import sys
from collections import OrderedDict
from lib.intcode import Machine
from time import sleep
import subprocess
if len(sys.argv) == 1 or sys.argv[1] == '-v':
print('Input filename:')
f=str(sys.stdin.readline()).strip()
else: f = sys.argv[1]
verbose = sys.argv[-1] == '-v'
for l in open(f):
mreset = [i... |
import nltk
from sklearn.model_selection import train_test_split
nltk.download('punkt')
nltk.download('wordnet')
from nltk.stem import WordNetLemmatizer
import json
import pickle
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout,LSTM
from keras.optimizers import ... |
"""Module with functions for management of installed APK lists."""
import glob
import re
import subprocess
import apkutils # needed for AndroidManifest.xml dump
import utils # needed for sudo
# Creates a APK/path dictionary to avoid the sluggish "pm path"
def create_pkgdict():
"""Creates a dict for fast pa... |
from sklearn.externals import joblib
question = raw_input(":> Ingresa la pregunta: ")
clf = joblib.load('clf.pkl')
vectorizer = joblib.load('vectorizer.pkl')
selector = joblib.load('selector.pkl')
question = vectorizer.transform([question])
question = selector.transform(question).toarray()
print clf.predict(question)
|
from collections import defaultdict
import numpy as np
def solution1(input):
m = defaultdict(lambda: defaultdict(int))
for i, ol, ot, w, h in input:
for x in range(ol, ol+w):
for y in range(ot, ot+h):
m[x][y] += 1
c = 0
for x in m:
for y in m:
if... |
#B
zub=int(input())
x2,y3=map(int,input().split())
if(zub<y3 and zub>x2):
print("yes")
else:
print("no")
|
from arcgis_terrain import meters2lat_lon
from arcgis_terrain import lat_lon2meters
import csv
import numpy as np
import matplotlib.pyplot as plt
# params = [37.67752, -79.33887, 'punchbowl']
# # params = [38.29288, -78.65848, 'brownmountain']
# # params = [38.44706, -78.46993, 'devilsditch']
# # params = [37.99092... |
"""
Contains business logic tasks for this order of the task factory.
Each task should be wrapped inside a task closure that accepts a **kargs parameter
used for task initialization.
"""
def make_task_dict():
"""
Returns a task dictionary containing all tasks in this module.
"""
task_dict = {}
task... |
#!/usr/bin/python3
import time
import re
from datetime import datetime
gpio='/gpio/pin26/edge'
def setup_gpio(gpio):
with open(gpio, "w") as f:
f.write("rising")
#1Hz – 0.98 LPM
val=0
last_val=0
last_time=''
total_litres=0
sleep=10
Interrupts='/proc/interrupts'
# 41: 299 gpio-mxc 14 Edge g... |
class sport():
activity = 'physical'
games = 'competitive'
def __init__(self, name, numberOfPlayers, ballShape):
self.name = name
self.numberOfPlayers = numberOfPlayers
self.ballShape = ballShape
def printAll(self):
print('name: %s\nnumber of players: %d\nball shape: %s... |
from base.models import Group
from rest_framework.permissions import BasePermission, IsAuthenticated
class GroupAdminPermission(BasePermission):
"""
Checks that the request user is a group admin
"""
def has_permission(self, request, view):
group = Group.objects.get(id=view.kwargs.get('group_id... |
import math
import itertools
from collections import defaultdict
import pprint
# part 1 stuff
with open("input1.txt","r") as f:
data = f.readlines()
points = []
for y in range(len(data)):
for x in range(len(data[0])-1):
if data[y][x] == '#':
points.append([x,y])
maxSighted = 0
keyPoint = [0,... |
x1,y11,z11=map(int,input().split())
d13=(x1*y11)//z11
print(d13)
|
import random
#NOTES FROM DO NOW:
#1. Work with integers
#2. Random number generator
#3. A way to give commands(controls)
#FEATURES TO ADD:
#1. How to keep the program running until i quit
#2. Use numberOfRolls variable to show multiple die rolls
#3. Add roll totaling features (sum/highest/lowest)
#4. More... |
import asyncio
import json
import wave
import websockets
import app
from playground.noise_reduction.denoiser import Denoiser
class VoskAudioRecognizer(app.AudioRecognizer):
def __init__(self, host):
self.host = host
def parse_recognizer_result(self, recognizer_result):
return app.Recognized... |
import unittest
from pyfiles.model import characterClass
EXPECTED_VALUES = ['Fighter', 'Spellcaster', 'Rogue']
class TestCharacterClass(unittest.TestCase):
def test_get_values(self):
values = characterClass.CharacterClass.get_values()
self.assertEqual(values, EXPECTED_VALUES)
def test_get_js... |
from django.contrib import admin
from .models import Aparcamiento, AparcaSeleccionado, Comentario, Css
admin.site.register(Aparcamiento)
admin.site.register(AparcaSeleccionado)
admin.site.register(Comentario)
admin.site.register(Css)
|
import numpy as np
import pandas as pd
from pathlib import Path
from sklearn.model_selection import train_test_split
import lightgbm as lgb
# Global constants
MAX_LAG = 57
def downcast(df, verbose=False):
"""
Downcast the data to reduce memory usage.
Adapted from: https://www.kaggle.com/ragnar123/v... |
#!/usr/bin/env python
#-*-coding:utf-8-*-
from flask import Flask, render_template
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy #引用数据库，需要安装MySQL-python
import os
from flask_script import Manager
from flask import session, redirect,url_for # 引入重定向和用户会话
from flask import flash #Flash... |
import zipfile
import wget
import glob
import os
import torch
import argparse
import pandas as pd
from tqdm import tqdm
from utils import overwrite_base, Logger
from configs.config import GlobalConfig
import mmcv
from mmcv import Config
from mmdet.apis import set_random_seed
from mmdet.datasets import build_dataset, ... |
'''
Main.py Starting File
'''
import os
import numpy as np
import tensorflow as tf
from model import Model
from plot import Plot
from game import Game
#import matplotlib.pyplot as plt
class Main:
def __init__(self):
self.feature_length = 6
self.label_length = 4
self.cost_plot = Plot([], '... |
# 自然数Nをコマンドライン引数などの手段で受け取り，入力のうち先頭のN行だけを表示せよ．
# 確認にはheadコマンドを用いよ．
# head -n 5 hightemp.txt
# !usr/bin/env python
# -*- coding;utf-8 -*-
import sys
N = int(sys.argv[1])
assert len(sys.argv) is 2, "usage: python nock_14.py [N]"
with open('hightemp.txt') as f:
print(''.join(f.readlines()[:N]),end="")
# count=0
... |
from datetime import datetime
from tkinter import *
win = Tk()
win.geometry("600x100")
win.title("What time??")
win.option_add("*Font","맑은고딕 8")
def what_time():
dnow = datetime.now()
btn.config(text=dnow)
btn = Button(win)
btn.config(text="현재 시각")
btn.config(width=30)
btn.config(command=what_time)
btn.pack()... |
# Generated by Django 3.0.1 on 2019-12-24 17:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('paroll', '0005_auto_20191225_0104'),
]
operations = [
migrations.AddField(
model_name='account',
name='address',
... |
#!/usr/bin/env python
import array
import math
import sys
import time
numb = array.array('l',[0]*1000000)
numbsize = 0
echostep=10
#tcount = 0
targ = {}
chash = {}
def DeDupes():
global numbsize
dupes=0
uniqid=0
for i in range(1,numbsize):
if numb[i] == numb[uniqid]:
dupes+=1
else:
uniqid+=1
numb[uni... |
import sys
import requests
from requests.api import head
from bs4 import BeautifulSoup
import pandas as pd
import xlsxwriter
from datetime import datetime
companies = []
base_url = "https://www.finanzen.net/bilanz_guv/"
user_agent = {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, l... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# Base Class for Protocols
from .protocol import Protocol
# Utility Classes for Protocols
from .header import Header
from .frame import Frame
from .link import *
from .internet import *
from .transport import *
from .application import *
# Ptotocol Chain
from .utilities im... |
# coding=utf-8
"""
preInit.py
Desc:
Maintainer: wangfm
CreateDate: 2016/12/7
"""
import ConfigParser
import argparse
import os
import sys
try:
from statusdocke import checkRunner
from configTest import TestRunner
from logger import logger
except ImportError:
sys.path.append(os.getenv('PY_DEV_HO... |
#The upper() String Method
fruit = 'Apple'
print(fruit.upper()) |
import numpy as np
from bokeh.plotting import figure, show, output_file, vplot
from bokeh.io import output_notebook
N = 100
x = np.linspace(0, 4*np.pi, N)
y = np.sin(x)
#output_file("legend.html", title="legend.py example")
TOOLS = "pan,wheel_zoom,box_zoom,reset,save,box_select"
p2 = figure(title="Another Legend E... |
from flask import request, redirect, url_for
from flask_restful import Resource, marshal_with
from ..fields import Fields
from app.models.models import Sale, Product, SaleGroup, User, db
from app.forms import CreateSaleForm
from .sale_group import SaleGroupListAPI
sale_fields = Fields().sale_fields()
class SaleListAP... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^createGenesisNode/', views.createGenesisNode),
url(r'^createChildNode/', views.createChildNode),
url(r'^editNode/', views.ediNode),
url(r'^findLongestChain/', views.findLongestChain),
]
'''
API ENDPOINTS
1. localhost:800... |
#2019.07.20-KimSeokMin
#필요 라이브러리 : selenium, bs4(beautifulsoup)
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from bs4 import BeautifulSoup as BS
from multiprocessing.pool import Pool, ThreadPool
from selenium.webdriver.suppor... |
# Criando/escrevendo arquivos no python
file = open('aula57/abcd.txt', 'w+')
file.write('Linha 1\n')
file.write('\t Linha 2\n')
file.write('\t\t Linha 3\n')
file.seek(0, 0)
print('Lendo... ')
print(file.read())
#
print(f'----------------------')
file.seek(0, 0)
print(file.readline(), end='')
print(file.readline(), en... |
def main():
iList = [None]
with open('test.txt') as f:
firstLine = f.readline().split(' ')
kSize, n = int(firstLine[0]), int(firstLine[1])
for line in f:
tempList = line.split(' ')
iList.append((int(tempList[0]), int(tempList[1])))
print(knapsack(n, kSize, iList))
def knapsack(n, kSize, iList)... |
#!/usr/bin/env python
from comet_ml import Experiment
import argparse
import os
import sys
from datetime import datetime
import warnings
warnings.simplefilter("ignore")
import keras
import tensorflow as tf
from keras_retinanet import models
from keras_retinanet.utils.keras_version import check_keras_version
#Custo... |
import sys
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import mpl_toolkits.mplot3d.art3d as art3d
from matplotlib.patches import Rectangle
import seaborn as sns
from astropy.table import Table
from dust_blorentz_ode import streamline
try:
thB_degrees = float(sys.... |
# This is a sample Python script.
# Press ⌃R to execute it or replace it with your code.
# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
from myStock_handler.stock_day_handler import regist_day, get_stock_day
import datetime
from myAI.stock_litm import LSTM_model
from myA... |
import pandas as pd
import unittest
import os
import pyterrier as pt
from .base import BaseTestCase
class TestFeaturesBatchRetrieve(BaseTestCase):
def test_fbr_ltr(self):
JIR = pt.autoclass('org.terrier.querying.IndexRef')
indexref = JIR.of(self.here + "/fixtures/index/data.properties")
re... |
__version__ = "0.9.94.dev3"
|
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