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from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
import sys
from time import *
k=3
t=[0 for i in range(20)]
def init():
glClearColor(1.0,1.0,1.0,0.0)
glPointSize(2.0)
glColor3f(1.0,0.0,0.0)
glMatrixMode(GL_PROJECTION)
glLoadIdentity()
gluOrtho2D(0.0,20.0,0.0,20.0)
def setPixel(x,y):
g... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^index/$', views.discussion_index, name='index'),
url(r'^(?P<d_id>\d+)/$', views.discussion_detail, name='detail'),
url(r'^new_discussion/$', views.new_discussion, name='new_discussion'),
]
|
# Working with Twitter API and parsing received data
import html
import os
#import socket
from twython import Twython
from twython import TwythonAuthError, TwythonError, TwythonRateLimitError
from time import strftime, strptime
def get_user_timeline(screen_name, limit):
"""Consume screen_name and limit.
1) g... |
def classFactory(iface):
from LMConf import LMConf
return LMConf(iface)
|
import pandas as pd
import matplotlib.pyplot as plt
import string
class RestaurantGrades:
'''This class will analyze data of the grade of each restaurant in new york city over time
and generate relevant plots.'''
def __init__(self):
#load data
self.grades = load_data()
self.boroug... |
import sys
sys.path.insert(0, "D:\PythonProjectsDDrive\stylegan2-master")
import argparse
import numpy as np
import PIL.Image
import dnnlib
import dnnlib.tflib as tflib
import re
import sys
import pretrained_networks
def generate_images(Gs, seeds, truncation_psi):
#noise_vars = [var for name, var in Gs.component... |
# -*- python -*-
class Call(object):
def __init__( self, id, name, phone_number, time, reason ):
self.id = id
self.name = name
self.phone_number = phone_number
self.time = time
self.reason = reason
def display( self ):
print "object Call:"
print " id:",... |
from setuptools import setup, find_packages
setup(
name="publish",
version="0.2.1",
packages=find_packages(),
install_requires=["pyyaml", "cerberus", "jinja2"],
tests_require=["pytest"],
entry_points={
"console_scripts": [
"publish = publish:cli",
"publish-utils... |
#!/usr/bin/env python3
print("你好, World!");
|
from os import listdir
from os.path import isfile, join
pasta_input = "output\\"
pasta_output = "output_separado\\"
encoding = "utf8"
file_input = "output_raw.txt"
N = 21
for qtd in range(1, 26):
file_output = "output_5.2.05_" + str(qtd)+ ".txt"
count = [0] * N
with open(join(pasta_output,... |
from flask import request
def delete_links(id):
return {'message': 'ok' }
def share_links(id):
return {'messange': 'Link enviado para ' + request.form['destinatario'] + '!' }, 201
def get_links():
return {
"message": "Ok",
"links": []
}, 200
def save_link():
return {
"mes... |
scina = int(input())
for _ in range(scina):
count = 0
i = 1
col_num = int(input())
colors = list(map(int, input().split()))
b = [colors[0], 0]
while i < len(colors):
if colors[i] == colors[i - 1]:
i += 1
elif colors[i] in b:
i += 1
continue
... |
from urllib.parse import parse_qs, urlencode, urljoin
from wsgiref.simple_server import (
WSGIRequestHandler as BaseWSGIRequestHandler,
make_server,
)
from wsgiref.util import setup_testing_defaults
import sys
from pymacaroons import Macaroon
import stacksmith
AUTHORIZE_ENDPOINT = urljoin(stacksmith.url, 'a... |
class Base:
def __init__(self):
self.a = 5
class Derived1(Base):
def __init__(self):
super().__init__()
self.b = 7
class Derived2(Derived1):
def __init__(self):
super().__init__()
self.c = 10
def sum(self):
result = self.a + self.b + self.c
re... |
"""
This module lets you practice:
-- ITERATING (i.e. LOOPING) thru a SEQUENCE
-- Using OBJECTS
-- DEFINING functions
-- CALLING functions
Authors: David Mutchler, Valerie Galluzzi, Mark Hays, Amanda Stouder,
their colleagues and Muqing Zheng. October 2015.
""" # TODO: 1. PUT YOUR NAME IN THE ABOVE ... |
import random
import point
import target as tg
"Checks if path generated is valid"
def check_if_path_correct(ordered_nexts, targets, radius):
last = float("inf")
for i in ordered_nexts:
temp = [j for j in targets if i.euclidean_distance(j) <= radius]
if len(temp) > last:
return Fals... |
#!/usr/bin/python
import os
import pickle
import sys
import subprocess
import Queue
import threading
import getopt
import copy
import string
import glob
import csv
import re
import random
def usage():
print "\n-----------------------------------------------------------------"
print "Usage: "
print " sift... |
from __future__ import print_function # Helper class to convert a DynamoDB item to JSON.
import boto3
import json
import decimal
import movies_common
dynamodb = boto3.resource('dynamodb')
# dynamodb = boto3.resource('dynamodb', region_name='ap-northeast-1', endpoint_url='http://localhost:4569')
table = dynamodb.Table... |
# ======================
# Functions for ingesting and cleaning Landsat geotiff
# ======================
# import libraries
import numpy as np
import rasterio
# ======================
# Function to read in vegetation index images and create np image stack
# ======================
def create_image_stack(files, exten... |
import torch
from torch.utils import benchmark
from .main_cnn import create_model as ResNet
from .main_transformer import create_model as ViT
for model in (ResNet(), ViT()):
print(f"#### {model.__class__.__name__} ####")
x = torch.randn(1, 3, 32, 32) # CIFAR10
params = sum(p.numel() for p in model.para... |
"""
수 찾기
N <200,000
"""
input()
first_data = list(map(int, input().split()))
input()
second_data = list(map(int, input().split()))
first_data.sort()
def binary_search(array, target, start, end):
mid = (start + end) // 2
if start > end:
return None
if array[mid] == target:
return mid
... |
# Generated by Django 4.2.3 on 2023-08-07 13:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("elections", "0072_alter_election_current_alter_election_group_type"),
]
operations = [
migrations.AlterField(
model_name="electio... |
import json
def formHdrResp(code,message):
rslt = {"code":code,"message":message}
return rslt
def formErrResp(code,message,responseNode,responseObj):
rslt = {"code":code,"message":message,"response":{}}
rslt["response"] = responseObj
finalRslt = {}
finalRslt[responseNode] = rslt
... |
from re import compile, match
REGEX = compile(r'\$(?P<integer>\d+)\.(?P<frac>\d{0,2})$')
def to_cents(amount):
m = match(REGEX, amount)
if m and m.group(0) == amount:
return int(m.group('integer')) * 100 + int(m.group('frac'))
|
from django.apps import AppConfig
class EshopProductsConfig(AppConfig):
name = 'eshop_products'
verbose_name = 'ماژول محصولات' |
#from scipy.stats.stats import pearsonr
#a = [20,20,1]
#b = [20,20,3]
#print (pearsonr(a,b))
#raise SystemExit
import numpy as np
from collections import Counter, defaultdict
import os
import pandas
import util
import pyutil
import time
title = "standard"
his_idx = 0
spentidx = 0
amountidx = 1
datesidx = 2
clas... |
#!/usr/bin/env python3
#-
# Copyright (c) 2015, David Kalliecharan <david.kalliecharan@dal.ca>
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# T... |
with open ('input.2.txt','r') as f:
s=f.readline()
c="""QWERTYUIOPĂÎÂASDFGHJKLȘȚZXCVBNM"""
d="""0123456789"""
e="""+-*/"""
j="""qwertyuiopasdfghjklzxcvbnm"""
v=''
for i in s:
if i in c:
v=v+str(i)
with open ('litereA.txt','w') as f:
f.write(v)
b=''
for a in s:
if a ... |
from watchdog.observers import Observer
import os
import time
# FileSystemEventHandler - класс по отслеживанию изменений
from watchdog.events import FileSystemEventHandler
# Создаем класс наследник, через него может отслеживать изменения в папках
class Handler(FileSystemEventHandler):
# При любых изменениях в папке,... |
#!/usr/bin/env python
# encoding: utf-8
# @author: Zhipeng Ye
# @contact: Zhipeng.ye19@xjtlu.edu.cn
# @file: plus99.py
# @time: 2020-01-24 13:56
# @desc:
if __name__ == '__main__':
content_list = []
with open('/Data_SSD/zhipengye/zhipengye/LM/completed.data/data/n-gram3/GoogleWbi-Direct.small',encoding='utf-... |
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 1 19:44:29 2019
@author: Zilean
"""
from sklearn import datasets
from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.linear_model import SGDClassifier
import matplotlib.pyplot as plt
import nump... |
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_score
from functools import reduce
class ClustersHandler:
def __init__(self, df: pd.DataFrame, df_stations: pd.DataFrame, country:str=None, weights:dict=None):
if country is not None:
... |
#!/usr/bin/python3
# 可写函数说明
sum = lambda arg1, arg2: arg1 + arg2
# 调用匿名函数
print("相加后的值： ", sum(10, 20))
print("相加后的值： ", sum(20, 20)) |
from setuptools import setup, find_packages
setup(name='sjresearchutil',
version='0.1.0',
url='',
license='MIT',
author='Sooyong Jang',
author_email='sooyong@seas.upenn.edu',
packages=find_packages(exclude=['tests']),
long_description=open('README.md').read(),
zip_safe=F... |
import bz2
import fnmatch
import functools
import gzip
import os
import re
import sys
# Inside a function, the yield statement can also be used as an
# expression that appears on the right side of an assignment operator.
def receiver():
print("Ready to receive")
while True:
n = (yield)
print... |
def write_p2g(G, path, encoding: str = "utf-8") -> None: ...
def read_p2g(path, encoding: str = "utf-8"): ...
def parse_p2g(lines): ...
|
import os
from typing import Generator
import pandas as pd
from pandas import DataFrame, ExcelWriter
SHEET_NAME = "Master"
MERGED_FILE_NAME = "POC.xlsx"
def _get_all_excel_files(directory: str) -> Generator[str, None, None]:
for dir_path, _, filenames in os.walk(directory):
for f in filenames:
... |
#!/usr/bin/python
teststr = "Hello DevOPS"
print teststr[0:5]
newvar = teststr + "hola"
print newvar
|
from django.shortcuts import render_to_response
from django.template.context import RequestContext
# Create your views here.
def Default(request):
return render_to_response('base.html', RequestContext(request, {
'content', "<p>Hello</p>"
})) |
from flask import Flask,render_template, request,json
import os
import logging
from pathlib import Path
import torch
import torch.nn as nn
import numpy as np
import pandas as pd
from torch.utils.data import Dataset, DataLoader
from pytorch_pretrained_bert import BertTokenizer
from pytorch_pretrained_bert.modeling impor... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-11-02 20:46
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('adminapp', '0023_cargarestudiante'),
]
operations = [
migrations.RenameField(
... |
"""
Cycle Detection - CodeWar
"""
def floyd(root):
hare = root.next.next
while tortoise != hare:
tortoise = f(tortoise)
hare = f(f(hare))
tortoise = root
while tortoise != hare:
tortoise = f(tortoise)
hare = f(hare)
start = tortoise
length = 1
hare = f... |
from matplotlib import pyplot as plt
import numpy as np
import os
import tda
def measure_square(radius, dim_pcd=2):
vec = np.empty(dim_pcd)
for i in range(dim_pcd):
vec[i] = np.random.uniform(-1 * radius, radius)
return vec
def measure_circle(radius, dim_pcd=2):
vec = np.random.randn(dim_pc... |
from __future__ import print_function
from tinydb import Query
from datahandling import my_query, access_db, extractnames
from itertools import combinations
from logging import debug, info
from sklearn.decomposition import PCA
from pca import pca_X
try:
from winsound import Beep
except ImportError:
def Beep(a,... |
# ****************************************************************** #
# ************************* Byte of Python ************************* #
# ****************************************************************** #
########################
# passing tuples around
########################
# def get_error_details()... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
'''
MIT License
Copyright (c) [2019] [Orlin Dimitrov]
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 limitat... |
import os
import sqlite3
from config import DB_DIR, DB_NAME
class SQLite3Instance:
""" Класс (обертка) для работы с SQLite3 БД """
def __init__(self):
self.db_name = DB_NAME
self.db_dir = DB_DIR
self.con = sqlite3.connect(os.path.join(self.db_dir, self.db_name))
self.cur = sel... |
nums = [1, 2, 3, 4]
#Sort the list from smallest to largest.
nums.sort()
#Find the median.
length = len(nums)
if (length % 2 == 0):
median = (nums[(length)//2] + nums[(length)//2-1]) / 2
else:
median = nums[(length-1)//2]
#Display the result.
print(median)
|
#!/usr/bin/env python
import Tkinter, tkFont
class Ball:
def __init__(self, id, x, y, radius, color="cyan"):
self.id, self.x, self.y, self.radius, self.color = id, x, y, radius, color
def move_right(self):
self.x += 5
if self.x + self.radius >= canvas_width:
self.x ... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'userUI.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_userUI(object):
def setupUi(self, userUI, user, movieList):
... |
'''
Name: Chung-Hsin(Jack) Hou
'''
import requests, json, copy
from collections import defaultdict
# modified binary search to search for one product.
def findOne(seq, goal):
if not seq:
return None
min = 0
max = len(seq) - 1
#if the goal price is larger than the max price, simply return... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from typing import DefaultDict, Sequence
from unittest import mock
import pytest
from pants.engine.fs import EMPTY_DIGEST
from pants.jvm.resolve.commo... |
import graphene
from django.db.models import Sum, Q
from ...order import OrderStatus
from ...product import models
from ...product.utils import products_with_details
from ..utils import filter_by_query_param, filter_by_period, get_database_id
from .types import Category, ProductVariant, StockAvailability
PRODUCT_SEAR... |
# 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 WARRANTIE... |
import gym
import sys, os
import time
import copy
from gym import error, spaces, utils
from gym.utils import seeding
import numpy as np
from PIL import Image as Image
import matplotlib.pyplot as plt
from scipy import misc
def round_up(a):
if type(a) is type(np.array([1])):
abs_a = np.abs(a)
abs_a_i... |
# Job: A process or task that has a priority.
# Your implementation should pass the tests in test_job.py.
# Andras Mihaly
class Job:
def __init__(self, priority=None, message=None):
self.priority = priority
self.message = message
def __eq__(self, node):
return self.priority == node.pr... |
# -*- coding: utf-8 -*-
import json
from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from SocketServer import ThreadingMixIn
from threading import Thread
from urlparse import urlparse
from PIL import Image, ImageDraw, ImageFont
from cv2 import cv
import ConfigParser
import logging
import time
import os
im... |
from loadImage import loadFromFile, return2dImageMatrix
import numpy as np
import random as rd
def randomInitialize(X, K):
"""randomly initialize few datapoints as points for
centroids for applying the kmeans algorithm"""
a,b = X.shape
randIndexes = np.random.randint(a, size=K)
return X[randIndexes,:]
def findC... |
import torch
import torch.nn as nn
import torchvision.models as models
from tqdm import tqdm
from torch.utils.data import DataLoader
from sklearn.metrics import accuracy_score
from dataset import TextDataset
from utils import get_val_augmentations, get_train_augmentations, preprocess_data
def main():
BATCH_SIZE =... |
# Run this script after doing the pyinstaller build
import os
import shutil
import subprocess
from musclex import __version__
os.sys.path.append(os.path.abspath(os.path.join('..', '..')))
deb_path = os.path.join('.', 'musclex-{}_amd64(linux)'.format(__version__),
'DEBIAN')
exc_path = os.path.join('.', 'musclex-{... |
import midi_output
import time
class MidiEventSender:
def __init__(self, midi_receiver):
self.midi_receiver = midi_receiver
def set_program_event(self, program_value):
print("Setting program to ", program_value)
event = [[[192, program_value, 0, 0], 0]]
self.midi_receiver.sen... |
from distutils.core import setup
setup(name='graphsurgeon',
version='0.4.1',
description='graphsurgeon',
author='Nvidia',
packages=['graphsurgeon'],
)
|
import csv
import cv2
import numpy as np
import sklearn
import sklearn.model_selection
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Convolution2D, MaxPooling2D, Cropping2D, Dropout, SpatialDropout2D
from random import shuffle
def main():
lines = []
datafiles = ['data/... |
s = raw_input().strip().lower()
if ('a' in s and
'b' in s and
'c' in s and
'd' in s and
'e' in s and
'f' in s and
'g' in s and
'h' in s and
'i' in s and
'j' in s and
'k' in s and
'l' in s and
'm' in s and
'n' in s and
'o' in s and
'p' in s and
'q' in s and
'r' in s and... |
#!/usr/local/bin/python
import argparse
import distutils.spawn
import shutil
import subprocess
import os
DEV_APPSERVER_PATH = distutils.spawn.find_executable('dev_appserver.py')
GCLOUD_PATH = distutils.spawn.find_executable('gcloud')
APP_PATH = os.path.join(os.path.dirname(__file__), 'app')
LIB_PATH = os.path.join(... |
class cardpackage():
@property
def name(self):
return self._name
def set_name(self,name):
self._name = name
return self
@property
def cost(self):
return self._cost
def set_cost(self,cost):
self._cost = cost
return self
@property
def subtype(self):
return self._subtype
def set_subtype(self,sub... |
'''
Random forests help to mitigate overfitting in decision trees.
Training data is spread across decision trees. The subsets are created by taking random samples with replacement.
This means that a given data point can be used in several subsets. (This is different from the subsets used in cross validation where each... |
from panda3d.bsp import BSPMaterial
from panda3d.core import LVector2i, PNMImage, VirtualFileSystem, getModelPath, Filename
from PyQt5 import QtGui, QtCore
# Reference to a material loaded from disk that can be applied to brush faces.
# Materials with the same filename are unified to the same MaterialReference object... |
# coding=utf-8
from mongo_zaojv import MongoUrlManager
from crawler_zaojv import Crawler_zaojv
import re
import time
mongo_mgr = MongoUrlManager()
# 设置爬虫起始页
root_url = "http://www.miaoqiyuan.cn/zaojv/word-a.html"
# 向数据库中添加一级网页
first_url = "http://zaojv.com/word_{}.html"
"""
for page in range(1,1046):
... |
import threading
import queue
class MyThread(threading.Thread):
def __init__(self, name, que):
threading.Thread.__init__(self)
self.name = name
self.que = que
def run(self):
print(f"Starting Thread {self.name}")
work(self.name, self.que)
print(f"Finishing Threa... |
# File : i2c_fusion.py
# What : i2c sensor fusion (Tilt-compensated heading)
import math
import json
from i2c_base import i2c_sensor
from i2c_compass import compass
from i2c_accel import accel
import threading
class _data(object):
"""Contariner for ULMO-relevant IMU data."""
def __init__(self):
self.... |
diff = ('Jones', 'Sally') > ('Adams', 'Sam')
print(diff)
d = {'a': 10, 'b': 1, 'c': 22}
print(d.items())
print(type(d.items()))
|
s, t, f = map(int, input().split(' '))
if s == 0:
s = 24
h = s + t + f
if h >= 24:
h -= 24
print(h) |
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
import enum
db = SQLAlchemy()
def configure(app):
db.init_app(app)
app.db = db
class Usuario(db.Model):
id = db.Column(db.Integer, primary_key = True)
nome_completo = db.Column(db.String(255))
cpf = db.Column(db.String(14))
... |
import datetime
from django.apps import apps
from django.db import transaction
from django.core.management.base import BaseCommand as DjangoBaseCommand
from wampbaseapp.wamp_app import WampApp as WampBaseApp, register_method
class WampApp(WampBaseApp):
PRINCIPAL = 'PRINCIPAL'
models = {}
apps = {}
... |
from struct import unpack, pack
import csv
def read_vlv(file):
"""
convert Variable Length Values to integers
"""
bin_str = ''
char = file.read(1)
while(unpack('>B', char)[0] > 127):
bin_str += bin(ord(char) - 128)[2:].zfill(7)
char = file.read(1)
bin_str += bin(ord(char))[... |
# Guess the number game
# no of guesses 9
# no of guesses left
# game over
n=18
remain_guess=9
guess=1
while(guess<=9):
print("----------------------")
inp = int(input("\nEnter a guessing number:"))
if inp<18:
print("The number is greater than the one u entered\n")
elif inp>18:
print("T... |
import numpy as np
import cv2
#Contour Area(둘러싸인 부분의 면적)와 Contour Perimeter(호의 길이)를 구하는 방법
#키값이 m00인 값이 contourArea의 값이다.
#arcLength()는 2개의 인자를 가짐, 두 번째 인자에서 True이면 폐곡선, False이면 열려있는 호를 나타냄
def contour():
img = cv2.imread('images/sana.jpg')
imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thr = cv2.th... |
from tkinter import *
root = Tk()
root.title("Hello")
text = Label(root, text="請輸入暱稱：",
width="30", height="2")
text.pack()
name = Entry(root, width="30")
name.pack()
button = Button(root, text="執行")
button.pack()
result = Label(root, text="",
width="30", height="2")
result.pack()
root.mainlo... |
# Generated by Django 2.0.3 on 2018-03-14 06:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('orders', '0004_auto_20180314_0609'),
]
operations = [
migrations.AlterField(
model_name='order'... |
# sqlalchemy tollkit imports
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
# Database classes imports
from catalog_database import Base, Categories, CatalogItem, User
import datetime
engine = create_engine('sqlite:///clothescategories.db')
# Bind the engine to the metadata of the Base cla... |
# sql:
# \copy (select st."1:2"-st."1:3" as ibl, st."1:1"-st."1:2" as ebl, count(1) as c,nblocks as b,ngenes as g from (select * from recomb as rb join gene_trees as gt on gt.id=rb.inf where topology!='(4,(3,(1,2)));' ) as foo join species_trees as st on foo.sid=st.id group by b,g,ebl,ibl order by c) to 'discordant.rec... |
# 输入三个整数x,y,z，请把这三个数由小到大输出
x = int(input("x:"))
y = int(input("y:"))
z = int(input("z:"))
listNum = []
listNum.append(x) # append 方法添加列表项
listNum.append(y)
listNum.append(z)
listNum.sort()
for i in listNum:
print(i)
|
import json
import treq
from twisted.trial.unittest import SynchronousTestCase
from mimic.model.heat_objects import RegionalStackCollection, Stack
from mimic.rest.heat_api import HeatApi
from mimic.test.fixtures import APIMockHelper
from mimic.test.helpers import request
class HeatObjectTests(SynchronousTestCase):
... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2021
#
# Distributed under terms of the MIT license.
"""
Description:
"""
import asyncio
import logging
import patterns
import view
from themesong import ThemeSong
import sys, getopt
from socket_client import SocketClient
logging.bas... |
from itertools import cycle
from math import sqrt, acos, sin, cos
import numpy as np
from matplotlib import cm
from matplotlib.animation import FuncAnimation
from matplotlib.patches import Ellipse, Arrow
import matplotlib.pyplot as plt
from picp.util.geometry import apply_tf_on_point_cloud
from python.pypm.icp import... |
import web
import pymysql
import fileMgr
import wayPoint
render = web.template.render('templates/', base='layout',
globals={'hasattr': hasattr})
urls = (
'/', 'Index',
'/view/(.*)', 'View',
'/manage', 'Manage',
'/manage/create', 'Create',
'/manage/hide/(\d+)', 'Hide',... |
# coding=utf-8
import cv2
import os, shutil
#
import tensorflow as tf
from tensorflow.python.keras.applications.resnet50 import ResNet50
from tensorflow.python.keras.applications.vgg19 import VGG19
from tensorflow.python.keras.models import load_model
import numpy as np
import sys
font = cv2.FONT_HERSHEY_SIMPLEX
from... |
# -*- coding: utf-8 -*-
from AnswerSelection import IAGru, OAGru_SMALL
from DataProcessor.MSRPD import MSRPD
from NeuralModel.IAGRU_WORD import IAGRU_WORD
from NeuralModel.OAGRU import OAGRU_small, OAGRU
from TaskBase import TaskBases
__author__ = 'benywon'
MSR = 'MSR'
class ParaphraseDetection(TaskBases):
def... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 12 10:06:13 2017
@author: wanjia
"""
class Handler(object):
def addTag(self,zlib,item,tagname):
#adds a new tag to the new item
# tagname = 'python lesson'
#in the bracket (tagname, '<tag type:0>')
item.ad... |
from Jumpscale import j
class Package(j.baseclasses.threebot_package):
def prepare(self):
"""
is called at install time
:return:
"""
pass
def start(self):
"""
called when the 3bot starts
:return:
"""
## TODO: BAD
# self.d... |
from SimpleXMLRPCServer import SimpleXMLRPCServer
import logging
import os
import time
# Set up logging
logging.basicConfig(level=logging.DEBUG)
server = SimpleXMLRPCServer(('localhost', 9090), logRequests=True)
# Expose a function
def list_contents(dir_name):
logging.debug('list_contents(%s)', dir_name)
tim... |
from flask import Flask, render_template, url_for, Blueprint, request, redirect
from databaseIntegration.database_queries import Database
from databaseIntegration.database import create_connection, close_connection
from databaseIntegration.database_config import Config
app = Flask(__name__)
connection, cursor = create... |
from panda3d.core import Vec3, BitMask32
VIEWPORT_3D = 0
VIEWPORT_2D_FRONT = 6
VIEWPORT_2D_SIDE = 7
VIEWPORT_2D_TOP = 8
VIEWPORT_3D_MASK = BitMask32.bit(VIEWPORT_3D)
VIEWPORT_2D_MASK = BitMask32.bit(VIEWPORT_2D_FRONT) | \
BitMask32.bit(VIEWPORT_2D_SIDE) | \
BitMask32.bit(VIEWPORT_2D_TOP)
clas... |
from __future__ import print_function
from ryu.base import app_manager
from ryu.ofproto import ofproto_v1_3
class MultipleController(app_mananger.RyuApp):
OFP_VERSIONS =[ofproto_v1_3.OFP_VERSION]
def __init__(self, *args, **kwargs):
super(MultipleController, self).__init__(*args, **kwargs)
|
# Generated by Django 2.1.7 on 2019-03-09 11:22
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('milliard', '0002_auto_20190309_0853'),
]
operations = [
migrations.CreateModel(
name='Choice',
... |
from flask import Blueprint
from flask import jsonify
from shutil import copyfile, move
from google.cloud import storage
from google.cloud import bigquery
import dataflow_pipeline.pyg.pyg_ofima_beam as pyg_ofima_beam
import dataflow_pipeline.pyg.pyg_PUC_beam as pyg_PUC_beam
import dataflow_pipeline.pyg.pyg_CeCo_beam as... |
from django.contrib import admin
from events.models import Events,Profile,CampusRepresantative
# Register your models here.
class EventAdmin(admin.ModelAdmin):
model = Events
list_display = ('EventName' ,'EventDescription','eventCost')
class ProfileAdmin(admin.ModelAdmin):
model = Profile
list_display = ('Name',... |
from sys import version_info
import numpy as np
print "enter the nuber of columns for first matrix"
#m = input('enter the value for m:')
#n = input('enter the value for n:')
a=np.matrix([[1,2,3],[3,4,5],[5,2,1]])
b=np.matrix([[1,1,3],[6,4,5],[5,2,99]])
#matrix = m*n
i=0
j=0
#a=10,10
for i in range(len(a)):
for j in ra... |
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
dataset=pd.read_csv('Position_Salaries.csv')
X=dataset.iloc[:,1:2].values
Y=dataset.iloc[:,2].values
from sklearn.preprocessing import PolynomialFeatures
pl_reg=PolynomialFeatures(degree=4)
X_poly=pl_reg.fit_transform(X)
from sklear... |
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