text stringlengths 38 1.54M |
|---|
from model import Dan, Kalorije
IME_DATOTEKE = "podatki.json"
def tekstovni_vmesnik():
belezeni_dnevi = Dan(IME_DATOTEKE)
belezeni_dnevi.preberi_iz_datoteke()
while True:
ukaz = prikaz_moznosti()
if ukaz == 1:
podatki = prikaz_za_izpolnitev()
koncno = Kalorije(podat... |
from django.shortcuts import render, reverse, get_object_or_404
from django.contrib.auth.models import User
from . import models
def home(request, pk):
user = get_object_or_404(User, pk=pk)
posts = models.Post.objects.filter(user=user)
return render(request, 'blog/profile.html', {'user': user, 'posts': po... |
# Generated by Django 2.0.2 on 2018-03-27 22:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('musicians', '0004_remove_musician_email'),
]
operations = [
migrations.AddField(
model_name='musician',
name='hometo... |
def is_big(x):
return x > 100
def is_even(x):
return not x % 2
numbers = [90, 102, 101, 104]
cond = [is_big, is_even]
z = filter( lambda n: all([f(n) for f in cond]), numbers)
print(z) # [102, 104]
|
from django.urls import path
from . import views
#from .views import login
urlpatterns = [
path("schools/",views.schools,name ='schools'),
] |
import random
class Deck(object):
def __init__(self):
''' Create a deck in order '''
self.deck = []
for suit in suits:
for rank in ranking:
self.deck.append(Card(suit,rank))
def shuffle(self):
''' Shuffle the deck, python actually already has a shuff... |
def bitwiseComplement(self, N: int) -> int:
if N == 0:
return 1
ceil = 0
copy_N = N
while copy_N > 0:
ceil += 1
copy_N = copy_N // 2
ceil = (2 ** ceil) - 1
return ceil - N |
'''Defines a pipeline step which aquires data from the xerus data source.
'''
import datetime
import os
import requests
from bs4 import BeautifulSoup
from src import datasets
from src.step import Step
class GetXerusData(Step):
'''Defines a pipeline step which aquires data from the xerus data source.
'''
... |
from flask import render_template, flash, redirect, request, url_for
from app import app
from app.forms import WorkoutForm
from app.weightbreakdown import WeightBreakdown
@app.route('/', methods=['GET', 'POST'])
def index():
form = WorkoutForm()
if form.validate_on_submit():
press = request.form.get('p... |
import concurrent.futures
import numpy as voNP
from sklearn.utils import shuffle as voShuffle
from multiprocessing import Pool, freeze_support, cpu_count
from TcMatrix import TcMatrix
from TeActivation import TeActivation
# Deep Convolutional Neural Network
class TcCNNDeep( object ) :
def __init__( aorSelf, aorLaye... |
import turtle
turtle.penup
turtle.pendown
turtle.pensize(5)
turtle.fd(150)
turtle.seth(90)
turtle.fd(150)
turtle.seth(180)
turtle.fd(150)
turtle.seth(270)
turtle.fd(150)
|
# Generated by Django 2.1.2 on 2018-12-08 18:00
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('events', '0002_auto_20181208_1756'),
]
operations = [
migrations.RenameField(
model_name='events',
old_name='datetime_of_eve... |
import os
import argparse
import collections
import re
NUMBER_OF_WORDS = 10
def load_data(filepath):
if not os.path.exists(filepath):
return None
with open(filepath, "r", encoding='utf-8') as file_handler:
return file_handler.read()
def get_most_frequent_words(text, number_of_words):
w... |
class Node():
def __init__(self, id, data=None, label=None):
self.id = id
self.left = None
self.right = None
def __repr__(self):
left_child = self.left.id if self.left else None
right_child = self.right.id if self.right else None
node = ('id: {}, left_child: {}, ... |
#!/usr/bin/python3
"""Module to compress files
"""
from fabric.api import *
from datetime import datetime
import os
env.hosts = ["ubuntu@34.73.252.190", "ubuntu@54.198.140.74"]
def do_deploy(archive_path):
"""Method to deploy files
"""
if not os.path.exists(archive_path):
return False
else:... |
project = "gdsfactory"
release = "5.18.2"
copyright = "2020, MIT License"
html_theme = "sphinx_book_theme"
source_suffix = {
".rst": "restructuredtext",
".txt": "markdown",
".md": "markdown",
}
extensions = [
"matplotlib.sphinxext.plot_directive",
"myst_parser",
"nbsphinx",
"sphinx.ext.aut... |
data = LoggingLazyDB()
print('Before: ', data.__dict__)
print('foo exists: ', hasattr(data, 'foo'))
print('After: ', data.__dict__)
print('foo exists: ', hasattr(data, 'foo'))
>>>
Before: {'exists': 5}
Called __getattr__(foo)
foo exists: True
After: {'foo': 'Value for foo', 'exists': 5}
foo exists... |
import eyed3
audiofile = eyed3.load("/home/sanat/Desktop/SLAC 2018/DeepAudioClassification-master/Data/Raw/The Maccabees - Grew Up At Midnight.mp3")
audiofile.tag.artist = u"the Maccabees"
audiofile.tag.album = u"ABC"
audiofile.tag.album_artist = u"Various Artists"
audiofile.tag.title = u"We grew up at midnight"
audi... |
from selenium.webdriver.common.by import By
class BasePageLocators():
LOGIN_LINK = (By.CSS_SELECTOR, ".icon-login")
SUBMIT_NEXT = (By.XPATH, "//input[@type='submit' and @value='Далее']")
class LoginPageLocators():
REGISTER_LINK_TERM = (By.CSS_SELECTOR, "div.row.menu div.cell a")
REG_TERM_2 = (By.CSS_... |
import os
import pickle
import numpy as np
import csv
import matplotlib.ticker as plticker
#from run_lrm import print_results
'''
plot_dict ={}
#for loop here
for trial in range(10):
file_name = "../results/LRM/lrm-qrm/trail_"+str(trial)+"/officeworld/lrm-lrm-qrm-0_rewards_over_time.txt"
file = open(file_name)
... |
import cv2
from utils import *
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.layers import Conv2D, MaxPool2D, DepthwiseConv2D, SeparableConv2D, GlobalAveragePooling2D
from tensorflow.keras.layers import Concatenate, Flatten, Dense, BatchNormalization, Activation
from tensorflow.keras.losses... |
species(
label = '[CH2]OC[CH]CC(988)',
structure = SMILES('[CH2]OC[CH]CC'),
E0 = (104.288,'kJ/mol'),
modes = [
HarmonicOscillator(frequencies=([2750,2783.33,2816.67,2850,1425,1450,1225,1275,1270,1340,700,800,300,400,2750,2800,2850,1350,1500,750,1050,1375,1000,3000,3100,440,815,1455,1000,3025,407... |
import argparse
import gym
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from plotting_functions_RL import *
from neural_process import NeuralProcess
from training_module_RL import NeuralProcessTrainerRL
from torch.distributions import Normal
# Axes3D import has... |
#!/usr/bin/env python3
'''This module contains a floor function'''
import math
def floor(n: float) -> int:
'''takes a float and return the floor of the float'''
return math.floor(n)
|
# Generated by Django 2.0.2 on 2018-03-31 17:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0002_user_channel_main_user_channel_sub_video_main_video_sub'),
]
operations = [
migrations.AlterField(
model_name='vid... |
from flask import Blueprint, request, redirect, render_template, url_for,session, escape,jsonify,g
from flask.views import MethodView
from flask.ext.mongoengine.wtf import model_form
from flaskstarter import app
#### ERROR HANDLER #########
@app.errorhandler(404)
def page_not_found(error):
return render_templa... |
from PyQt5.QtCore import QRegularExpression, pyqtSignal
from PyQt5.QtGui import QIcon, QRegularExpressionValidator, QValidator
from PyQt5.QtWidgets import QLineEdit,QHBoxLayout, QComboBox, QToolButton,QWidget
class SelectionWidget(QWidget):
completed = pyqtSignal(bool)
def __init__(self, items, parent=... |
#2048-Alter by Welkin Mario
#contact: YUHO(Wechat), or Welkin_M(Steam)
#email: yuhosan@163.com
#recommend to have a look at README
from random import *
# initialize the grid
x1 = [0]*4
x2 = [0]*4
x3 = [0]*4
x4 = [0]*4
x = [x1,x2,x3,x4]
# define how the game runs
rand = [2,4]
control = ['w','s','a','d', 'retry']
... |
'''
Visual Monocular SLAM Implementation
Created: Sept 10, 2019
Author: Michael Liu (GURU AI Group, UCSD)
'''
import sys
sys.path.append('../lib')
import OpenGL.GL as gl
import pangolin
import multiprocessing as mp
# import threading
import numpy as np
import time
from multiprocessing import Process, Queue
import... |
import datetime
import threading
from abc import ABC, abstractmethod
from hangpy.entities import Job
from hangpy.enums import JobStatus
class JobActivityBase(ABC, threading.Thread):
"""
Base class for any job activities intended to be processed using
HangPy.
"""
def __init__(self):
self._... |
import math
from typing import Dict, Callable
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras import backend as K
import tensorflow as tf
def _1cycle_mom(iteration_idx:int,
cyc_iterations:int,
min_mom:float,
max_mom:float):... |
def concat_modules(modules):
separator = '%2C'
joined = separator.join(modules)
return joined
def concat_events(events):
separator = '%7C'
joined = separator.join(events)
return joined
def concat_parameters(parameters):
separator = '&'
joined = separator.join(parameters)
return j... |
# Python program to
# calculate minimum
# product of a pair
def printMinimumProduct(arr,n):
first_min = min(arr[0], arr[1])
second_min = max(arr[0], arr[1])
for i in range(2,n):
if (arr[i] < first_min):
second_min = first_min
first_min = arr[i]
elif (arr[i] < second_min):
second_min = arr[i]
... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.24 on 2019-10-31 13:24
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('supplier_app', '0001_initial'),
]
operations = [
migrations.AddField(
... |
def recStep(nn, d):
print(str(nn))
if d < 0:
if nn > 0:
recStep(nn-m, d)
else:
recStep(nn+m, d * -1)
else:
if nn < n:
recStep(nn+m, d)
else:
return
n = int(input("N: "))
m = int(input("M: "))
recStep(n, -1) |
from flask import Flask,request, jsonify
from flask_restful import reqparse, abort, Api, Resource
import requests
import json
import pprint
import os
#
# Author: FrancoUcci
# Used for faborder.go
# 03-Jul-2018
#
# Have the following Methods available via the REST API
#
# http://a.b.c/orders ... |
# Definition for a binary tree node
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
# @param root, a tree node
# @return an integer
def __init__(self):
self.arr = []
self.maxdepth = 0
def ... |
from __future__ import unicode_literals
import os, sys
dirpath = os.path.join(os.path.dirname(__file__))
sys.path.append(dirpath)
dirpath = os.path.join(dirpath, 'namelists')
sys.path.append(dirpath)
|
# plot the trajectories on one single figure
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import imageio
import sys
import os
currentPath = os.path.dirname(os.path.abspath(__file__))
sys.path.append(currentPath)
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import rando... |
'''
Create an employee record in MongoDB
'''
import pymongo
import datetime
import pprint
from pymongo import MongoClient
client = MongoClient()
# Reference a database
# Note that the database will be created automatically once collections and records are created
hr = client.hr
# Reference a collection
employees = ... |
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 20 11:23:01 2019
@author: miklos
Main script:
Reads NN putput matrix, reads previously saved bigram dictionary from a json format
Calls BeamSearch algorithm without and with phoneme level bigram LM
"""
import numpy as np
import BeamSearch
import LanguageModel
import ... |
from PyInstaller.utils.hooks import collect_data_files, collect_submodules
datas = collect_data_files('scrapy_cookies')
hiddenimports = (
collect_submodules('scrapy_cookies')
) |
from binance.currency_utils import get_currency_pair_to_binance
from utils.currency_utils import split_currency_pairs
from utils.string_utils import truncate_float
from enums.currency import CURRENCY
# BASE_CURRENCY = BTC
PRECISION_BTC_NUMBER = {
"ETHBTC": 3,
"LTCBTC": 2,
"BNBBTC": 0,
"NEOBTC": 2,... |
#Scope - What variable you have access to?
#functional scope
total=100 #global scope
def some_fun():
tot =100 #local scope
def confusion():
total=110 #local variable -new variable
return total
print(total)
print(confusion()) #does not affect the global var
print(total)
#1- start with local
#2 - pa... |
"""Miscellaneous small and generic helper functions"""
import json
import os
import re
import sys
import time
from io import StringIO
from fabric.api import put
from fabric.api import run
from fabric.context_managers import hide
import fabric.utils
EC_NETWORK = 10
EC_SERVICE = 20
EC_DATA = 30
TRAILING_WHITESPACE = re... |
import random
from time import monotonic
from collections import deque
class Game:
def __init__(self):
self.parts = deque()
self.part = None
self.buzz_state = "inactive"
self.points = {
"left": 0,
"right": 0,
}
@property
def is_done(self):
... |
import mysql.connector
from datetime import datetime
from .checkinput import *
class GeneralQuery:
def __init__(self):
self.mydb=mysql.connector.connect(
host="192.168.51.28",
# host="14.160.67.114",
user="hiface",
passwd="Tinhvan@123",
database... |
import asyncio
import select
number_of_events_read = 0
filepath = '/dev/input/event5'
async def log_events():
global number_of_events_read
file = open(filepath,'rb')
while True:
# select returns after 0.05 secs and we have to check if r is
# empty( == socket not ready ) or non-empty ( == ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from utils import sort_by_seq_lens, get_mask, masked_softmax, weighted_sum, replace_masked, init_model_weights
from model.sentenceEncoder import SentenceEncoder
class ESIM(nn.Module):
def __init__(self, config, word_emb):
super(ESIM, self... |
import pyaudio
# import tensorflow as tf
import numpy as np
import struct
import time
import joblib
import cv2 as cv
# from cnn_model import get_model
from util import cut_audio, get_arr_from_audio, save_wave_file, audio_interp
from mfcc import mfcc_feature_pyramid
from config import _AUDIO_CHANNELS, _AUDIO_DATA_WIDT... |
import csv
import numpy as np
import pandas as pd
from operator import itemgetter
import pickle
import random
from sklearn.cluster import KMeans, DBSCAN
from sklearn.mixture import GaussianMixture
from sklearn.metrics import silhouette_score
from sklearn.preprocessing import StandardScaler
import time
def _get_twitte... |
from django.conf.urls import url
from django.urls import path
from . import views
app_name = "user"
urlpatterns = [
# url(r'^api/', views.UserView.as_view(), name='user'),
url(r'^login', views.login_action, name='login'),
url(r'^register', views.register_action, name='register'),
url(r'^logout', views.l... |
import sys
import re
import time
def read_input(file):
for line in file:
yield line
def check_matches(line, regexes):
match = False
for name,r in regexes.items():
m = re.search(r,line)
if m:
match = True
'''
if name == 'ipaddr':
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import requests
from pyquery import PyQuery as pq
HEADERs = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36'
}
def crawl(url):
print url
resp = requests.get... |
import asyncio
import json
import logging
import websockets
logging.basicConfig()
BOARD_CONTENT = {'content': ''}
PARTICIPANTS = set()
def state_event():
return json.dumps({'type': 'state', **BOARD_CONTENT})
def participant_event():
return json.dumps({'type': 'users', 'pariticipant_id': ['1','2','3']})
as... |
# part1 O(N)
sums = set()
with open("inp.txt") as inp:
for line in inp.readlines():
num = int(line)
diff = 2020 - num
if diff in sums:
print(diff * num)
else:
sums.add(num)
|
#ALL ASCII VALUE
for i in range(1,257):
char=chr(i)
order=ord(char)
print(char,end=" ")
#print(order,"==",char)
# ==============================================================================================================
# FIND ASCII NUMBER FOR ALLPHABET
for char in range(1,300):
al... |
# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
from pylab import rcParams
import seaborn as sb
rcParams['figure.figsize']=10,8
sb.set_style('whitegrid')
df=pd.read_csv(filepath_or_buffer='iris.data.csv',header=None,sep=',')
df.columns=['Sepal Length','Sepal Width','Petal Length'... |
class stackLib():
def __init__(self):
self.lis=[]
def push(self, a):
self.lis += [a]
def pop(self):
self.lis=self.lis[:-1]
x=stackLib()
x.push(1);
x.push(2);
x.push(3);
x.push(4);
x.pop();
x.pop();
#print x.lis
|
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 22 14:46:47 2015
@author: stoimenoff
"""
import random
class Node:
def __init__(self, value, next_node=None):
self.value = value
self.next_node = next_node
def value(self):
return self.value
def get_next(self):
return self.next_... |
import subprocess
from test_pyenv import TestPyenvBase
class TestPyenvFeatureInstall(TestPyenvBase):
def test_check_pyenv_install_list(self, setup):
result = subprocess.run(['pyenv', 'install', '-l'], shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
result = str(result.stdout, "utf-8")
... |
import pytest
from python_on_whales import docker
from python_on_whales.components.image.models import ImageInspectResult
from python_on_whales.exceptions import DockerException, NoSuchImage
from python_on_whales.test_utils import get_all_jsons, random_name
@pytest.mark.parametrize("json_file", get_all_jsons("images... |
def linear_search(x,s):
for i in x:
if x[i] == s:
return i
return -1
x = [1,2,4,5,6,19,10]
s = 10
print(linear_search(x,s))
|
#This bit is set up by our mentor Mr Organ
import time
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
pin = 17
pin2 = 18
GPIO.setup(pin,GPIO.OUT)
GPIO.setup(pin2,GPIO.OUT)
#This is our code
print ("#no_name")
print ("Free cake!")
print ("what is your name? ")
name = input()
print("hahahahaha ")
print("the cake is... |
from django.template.defaultfilters import default, filesizeformat
from wagtail.core.blocks import (
StructBlock, RawHTMLBlock, CharBlock, StreamBlock, ListBlock
)
from wagtail.core.blocks.field_block import (
BooleanBlock, ChoiceBlock, DecimalBlock, IntegerBlock, MultipleChoiceBlock, PageChooserBlock, RichText... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pydotplus
from sklearn import tree
from sklearn.cluster import KMeans
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report
from sklear... |
if __name__ == '__main__':
t=int(input())
for x in range(t):
s=input().strip()
even,odd=[],[]
for i in range(len(s)):
if(i%2==0):
even.append(s[i])
else:
odd.append(s[i])
print("".join(even),"".join(odd)) |
import cv2
from imutils.video import WebcamVideoStream
class VideoCamera(object):
def __init__(self):
self.stream = WebcamVideoStream(src=0).start()
def __del__(self):
self.stream.stop()
def get_frame(self):
image = self.stream.read()
detector = cv2.CascadeClassi... |
from mpi4py import MPI
import numpy as np
import time
from knn import knn
class mpi:
def __init__(self):
self._comm = MPI.COMM_WORLD
self._rank = self._comm.Get_rank()
self._proces_count = self._comm.Get_size()
def run(self, clf, params_array):
params_count = len(params_array)... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2020-04-01 20:36:21
# @Author : mutudeh (josephmathone@gmail.com)
# @Link : ${link}
# @Version : $Id$
import os
class Solution(object):
def gameOfLife(self, board):
if not board:
return []
# 0 -> 1: -1
# 1 -> 0: 2
... |
"""Module for database entity"""
from library.mixins import SearchableMixin
from utils import db
class Book(db.Model, SearchableMixin):
"""Class for book entity in database"""
__tablename__ = 'books'
__searchable__ = ["title", "author", "description"]
id = db.Column(db.Integer, primary_key=True)
... |
from .structure import Descriptor
class Positive(Descriptor):
"""."""
def __set__(self, instance, value):
"""."""
if value < 0:
raise ValueError("Expected number to be greater than 0")
super(Positive, self).__set__(instance, value)
class Negative(De... |
#
# ESnet Network Operating System (ENOS) Copyright (c) 2015, The Regents
# of the University of California, through Lawrence Berkeley National
# Laboratory (subject to receipt of any required approvals from the
# U.S. Dept. of Energy). All rights reserved.
#
# If you have questions about your rights to use or distrib... |
"""
Stack of Plates: Imagine a (literal) stack of plates. If the stack gets too high, it might topple.
Therefore, in real life, we would likely start a new stack when the previous stack exceeds some
threshold. Implement a data structure SetOfStacks that mimics this. SetO-fStacks should be
composed of several stacks and... |
from math import *
#num1 = 2 test
#num2 = 5 test
def powerval(num1,num2):
if num1>num2:
big = num1
small = num2
#if num1==num2:
#print("nums are equal! try again!")
if num1<num2:
small = num1
big = num2
return(int(pow(big,small)))
#print(big,small) test |
n=int(input())
q=input().split()
a=[]
for i in range(0,len(q)):
a.append(q[i])
for i in range(0,len(q)):
if(a.count(a[i])==1):
print(a[i])
|
"""Функции для файла new_user"""
def isalphadidgit(string):
return string.isalpha() or string.isdigit()
def check_letter(string):
abc = "qwertyuiopasdfghjklzxcvbnm-1234567890"
for i in string:
if i not in abc:
return False
return True
def empty_or_not(login, password, name):
... |
# -*- coding: utf-8 -*-
import xlrd
import xlwt
col_num = [8,9] #column number for saving
def rw_excel():
# 打开文件
workbook = xlrd.open_workbook("主机列表.xls")
# 获取所有sheet
sheet1_name = workbook.sheet_names()[0]
# 根据sheet索引或者名称获取sheet内容
sheet1 = workbook.sheet_by_index(0)
# sheet索引从0开始
#sheet1 =... |
import unittest
import numpy as np
import gym
import pyworld.toolkit.tools.gymutils as gu
ITER_LIMIT = 25
class TestEnv(gym.Env):
def __init__(self):
super(TestEnv, self).__init__()
self.action_space = gym.spaces.Discrete(3)
self.observation_space = gym.spaces.Box(np.float32(0), np.flo... |
import cv2
import numpy as np
frame_w = 640
frame_h = 480
cap = cv2.VideoCapture(0)
cap.set(3, frame_w)
cap.set(4, frame_h)
cap.set(10, 150)
# [48, 114, 129, 116, 255, 208], blue, 12 136 106 21 255 255
myColors = [[12, 136, 106, 21, 255, 255],
[57, 53, 44, 84, 255, 255], [107, 43, 60, 131, 162, 255]]
# c... |
import matplotlib.pyplot as plt
x_num = [1,2,3]
y_num = [2,4,6]
plt.plot(x_num, y_num, '*')
plt.show() |
from numba import jit
#VWAP
@jit
def vwap(data,window):
voltyp = pd.Series(data['Volume']*data['Typical'])
voltyp = voltyp.rolling(window=window).sum()
vol = pd.Series(data['Volume'].rolling(window=window).sum())
data = data.join(pd.Series(data=voltyp/vol,index=data.index,name='VWAP_'+str(window)))
... |
#!/usr/bin/python
#-*- coding: utf-8 -*-
import urllib2 , urllib
import json
import pprint
from cStringIO import StringIO
import datetime, time
import platform
import mysql.connector
from mysql.connector.errors import Error
from mysql.connector import errorcode
import re
from pandas import Series, DataFrame
import p... |
import numpy as np
import h5py
import scipy.io as sio
import os
from shutil import copyfile
from PIL import Image
PATH = "C:\\Users\\lotan\\Downloads\\ADE20K_2016_07_26\\ADE20K_2016_07_26\\index_ade20k.mat"
# test = sio.loadmat(PATH)
# print(test['index'])
def build_sub_classes_from_root(root_path, dest, sub_cl... |
from torch import nn
import torch
class DeepQNet(nn.Module):
def __init__(self, hidden_size=32):
super(DeepQNet, self).__init__()
self.state_space_size = 128
self.action_space_size = 18
self.hidden_size = hidden_size
self.mlp = nn.Sequential(
nn.Linear... |
from scipy.spatial import distance as dist
from imutils.video import VideoStream
from imutils import face_utils
from threading import Thread
import numpy as np
import playsound
import argparse
import imutils
import time
import dlib
import cv2
import gspread
from oauth2client.service_account import ServiceAccountCredent... |
#!/usr/bin/env python
################################################################################
#
################################################################################
description = '''
This script will create an environment for VMware in an ACI fabric.
The following tasks will be accomplished... |
from discord.ext import commands
from utils.embed import get_embed
from rich.table import Table
from rich.console import Console
from io import StringIO
class Config(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.rethink = bot.rethink
self.conn = bot.db_conn
self.rich_c... |
import subprocess
import os
class person:
age = 0
first_name = last_name = address = city = ''
def __init__(self, age, first_name, last_name, address, city):
self.age = age
self.first_name = first_name
self.last_name = last_name
self.address = address
self.city = ci... |
def print_twice(bruce):
print(bruce)
print(bruce)
print_twice('I can talk two times in a row.') |
import caesar
import sys
import h5py
import pylab as plt
import numpy as np
from readgadget import *
sys.path.append('/home/sapple/tools')
import plotmedian as pm
import pygad as pg
from astropy.cosmology import FlatLambdaCDM
plotvar = 'mstar'
plotvar = 'R' # options are 'bolometric', 'U', 'B', 'V', 'R', and 'K'
frac... |
from django.urls import path
from . import views
app_name = 'bog'
urlpatterns=[
path('board4/', views.board, name='board4'),
] |
import requests
from os import path
import os
import json
import time
if path.exists('init.txt'):
with open('init.txt', 'r') as infile:
init = json.load(infile)
username = os.getenv('USERNAME')
url = init['supervisor_url']
while True:
try:
resp = requests.get(url+"/status?set=0&name="+username)
if resp.status... |
import mozilla_sphinx_theme
import os
extensions = []
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'Addon registration'
copyright = u'2013, Mozilla Services'
version = '0.1'
release = '0.1'
exclude_patterns = ['_build']
pygments_style = 'sphinx'
html_theme_path = [os.path.di... |
# __author: ioi
# date: 2021/6/10
# 自定义异常
class CustomException(Exception):
def __init__(self, message):
self.message = message
def __str__(self):
return self.message
if __name__ == '__main__':
try:
# 主动抛出异常
raise CustomException('哈哈哈')
except Exception as e:
p... |
"""Copy from silence-tensorflow
https://github.com/LucaCappelletti94/silence_tensorflow/blob/aa02373647db93f92ec824a55f37b6ae175d7227/silence_tensorflow/silence_tensorflow.py#L5
"""
import os
import logging
def silence_tensorflow():
"""Silence every warning of notice from tensorflow."""
logging.getLogger('te... |
# /usr/bin/python
import sys
import os
import ROOT
from FTTB215Conditions import CONDITIONS,DIODES
COLORS ={11:ROOT.kBlue+1,13:1}
MARKERS={(11,2):22,(11,3):26,(13,2):20,(13,3):24}
def summarizeResultsFor(ntuple,chargeEst,siPadSel,fitType,title,var,varUnc=None,outDir='./'):
grColl,shiftGrColl={},{}
siWidthsC... |
# -*- coding: utf-8
from __future__ import unicode_literals, absolute_import
import django
DEBUG = True
USE_TZ = True
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = "!b5in_p-zbxd7nbywc(_#g^c95rnmlk5^czaclltlpd&#nl0k&"
DATABASES = {
"default": {
"ENGINE": "django.db.backe... |
"""
This type stub file was generated by pyright.
"""
"""ODDT pipeline framework for virtual screening"""
class virtualscreening:
def __init__(self, n_cpu=..., verbose=..., chunksize=...) -> None:
"""Virtual Screening pipeline stack
Parameters
----------
n_cpu: int (default=-1)
... |
import requests
def main(input_filename, output_filename):
infile = open(input_filename, 'r')
outfile = open(output_filename, 'w')
try:
domain = infile.readline().rstrip()
while domain:
# May want to do some domain validity checking here
url = "http://www.%s" % domai... |
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