text stringlengths 38 1.54M |
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#==============================================================================
# ou_simulation_1D is used for
# inputs
# x0:initial state for OU
# n = length of sampling period
# step = aggregation period
# a = drift of OU
# sigma = diffusion constant of OU
# outputs
# obs = aggregated observations (using trapezoid... |
from django.db import models
# Create your models here.
class Students(models.Model):
name=models.CharField(max_length=30)
age=models.IntegerField()
email=models.EmailField()
def __str__(self):
return self.name
class Meta:
db_table='student'
|
"""
Neurons represent connections and states.
A rudimentary encoding algorithm has been created for visualization purposes.
"""
class Neuron(object):
def __init__(self, state=0):
self.state = state
self.connections = []
self.parents = []
@staticmethod
def crush(neurons):
... |
'''
Datafeeder
2018-07-06
TODO:
[] Fix batch length difference
[] Add batch to output file w/ speaker info
ref:
- https://www.github.com/kyubyong/deepvoice3
'''
import ipdb as pdb
import os
import glob
import random
import numpy as np
import tensorflow as tf
import pandas as pd
import textgrid
from tqdm import tqdm
... |
# Copyright (c) 2017 XLAB d.o.o.
#
# 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
#
# Unless required by applicable law or agreed to in writin... |
#A simple transliteration from DMG p.122ff
#d% = [monster,number of,type of,fraction change for treasure,level modifier for treasure]
level_1 = {
4: ["centipede (medium)","d3","critter",0.2,0],
9: ["dire rat","d3+1","critter",0.2,0],
14: ["fire beetle (giant)","d3+1","critter",0.2,0],
17: ["scorpion (sm... |
from __future__ import division
from DPLocalSolver import DFS_Rec_for_Non_Monotone_General
from util import *
import os
import copy
import IPython
import time
import random
import numpy as np
from random import sample
from collections import OrderedDict
import Polygon as pn
from random import uniform, random
from iter... |
a = [1,2,3,2]
k = 5
from collections import deque
def maxLength(a, k):
q = deque()
m = 0
s = 0
for i in a:
q.append(i)
s += i
if s <= k:
m = max(m, len(q))
else:
s -= q.popleft()
return m
print maxLength(a, k) |
import hashlib
import json
import os
from pathlib import Path
import pickle
import shutil
import subprocess
import uuid
from enum import IntEnum
from django.apps import apps
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.mail import send_mail
from django.db import... |
# !/usr/bin/env python3.7
# encoding: utf-8
# site:D:\users\lenovo\PycharmProjects\untitled
# Time : 2019/4/24 16:04
# Author : 御承扬
# e-mail:2923616405@qq.com
# site:
# File : ID3_code.py
# @oftware: PyCharm
import math
import operator
def createDataSet():
# outlook: 0 rain 1 overcast 2 sunny
# tem: ... |
#!bin/usr/env python
import numpy as np
import matplotlib.pyplot as plt
"""
Reads 2 column data file with each column formated as "-----[dat1]-------[dat2]" where dashes are whitespace and [dat1] and [dat2] are the columns, each containing
"""
def readDat(f):
"""
Reads file and converts two column data into... |
import time, datetime, vk_api, os
def main():
token = os.environ.get('token')
vk_session = vk_api.VkApi(token=str(token))
try:
def countdown(stop):
while True:
difference = stop - datetime.datetime.now()
count_hours, rem = divmod(difference.seconds, 3600... |
keywords = ["giant", "norco", "jamis", "trek", "\bgt\b", "specialized", "liv", "cannondale", "marin"]
url = '''https://www.kijiji.ca/b-markham-york-region/bikes/k0l1700274?ll=43.879401%2C-79.414110&address=23+Farmstead+Rd%2C+Richmond+Hill%2C+ON+L4S+1V8%2C+Canada&radius=50.0&dc=true''' |
# Generated by Django 2.0.7 on 2019-01-15 15:13
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main', '0018_auto_20190104_1113'),
]
operations = [
migrations.RenameField(
model_name='caseresult',
old_name='result_status... |
import tensorflow as tf
import numpy as np
from tensorflow import keras as K
if __name__ == "__main__":
a = np.array([[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]])
b = np.array([[[1], [1], [1], [1]], [[2], [2], [2], [2]], [[3], [3], [3], [3]]])
aa = tf.Variable(initial_value=a)
bb = tf.Variable(initial_v... |
#====MAXIMUM PATH SUM BETWEEN TWO LEAF NODES LOGIC====
# If node is None then don't do anything just return
# if node is a leaf node then return its data
# if node is not a leaf then update the max sum and return max(l,r)+node.data
# IMPORTANT: since we are passing a list(or array) to the function, the list is upda... |
import torch
import torchvision.models as models
import numpy as np
from tqdm import tqdm
import matplotlib.pylab as plt
from insilico_Exp_torch import TorchScorer
from grad_RF_estim import grad_RF_estimate, gradmap2RF_square
from GAN_utils import upconvGAN
from ZO_HessAware_Optimizers import CholeskyCMAES
from layer_h... |
class Node:
def __init__(self, data):
self.left = None
self.right = None
self.data = data
def isSymmetricSubTree(left,right):
if left is None and right is None:
return True
if left is not None and right is not None:
return left.data == right.data and \
... |
class Time(object):
def __str__(self):
#So we don't print time as 10:7 instead of 10:07
if self.minute < 10:
return str(int(self.hour)) + ":" + "0" + str(int(self.minute))
return str(int(self.hour)) + ":" + str(int(self.minute))
def __init__(self, hour, minute):
... |
'''
This script creates a heat map in form of a latex table which
visualizes an alignment matrix in csv format
'''
import argparse
import operator
import sys
parser = argparse.ArgumentParser(description='Reads an alignment matrix from stdin '
'and creates latex code which displays it as he... |
import emoji
import random
from functions import *
class Commands:
def __init__(self, bot, db):
self.bot = bot
self.db = db
self.commands = {
"start": self.start,
"menu": self.menu
}
self.cache = {
#states # last_seen
}
s... |
# given a pile of cards represented as array of integers (points)
# two players take turn to draw 1 to 3 cards from the left end
# returns the highest score of either player
def max_score(points):
"""
start from the base case when there're <= 3 cards (iterate from right to left)
dp[i]: how much the current... |
import psycopg2
class HorseDatabase():
def __init__(self):
self.conn = None
def connect(self, host="localhost", dbname="", user="", password=""):
self.conn = psycopg2.connect("host={} dbname={} user={} password={}".format(host, dbname, user, password))
def get_conn(self):
return s... |
from ckeditor.widgets import CKEditorWidget
from ckeditor.fields import RichTextField
from django.core.mail import send_mail
from django import forms
from django.contrib.auth.models import User
from django.forms import ModelForm
from job.models import Job, Employee, Applicant, ApplicationTime, Messages, UsersMessage
fr... |
class cached_property(object):
"""
Decorate a class method to turn it into a cached, read-only
property. Works by dynamically adding a value member that overrides
the get method.
**Warning:** Only works for read-only properties!
Example::
def very_expensive_function():
pri... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 14 12:01:04 2020
@author: danielfurman
"""
# This file unzips climate tifs downloaded from Worldclim.org, and
# the expanded files are saved to a HardDrive folder "output_dir".
# Manually unzipping eight tif files for a single ssp scenario
# took 3 ... |
import os
import sys
import traceback
import webbrowser
import pyqrcode
import requests
import mimetypes
import json
import xml.dom.minidom
import urllib
import time
import re
import random
from traceback import format_exc
from requests.exceptions import ConnectionError, ReadTimeout
import html
UNKONW... |
#
# onlinestore-multi
# simple online store application
# (c) smit thakakar smitthakkar96@gmail.com
# 2015
# GPL
#
################################ IMPORT ################################
import os
CURDIR = os.path.abspath(os.path.dirname(__file__))
PS = os.path.sep
import sys
sys.path.append(CURDIR)
import re... |
import json
import asyncio
import requests
from bs4 import BeautifulSoup
class Item:
def __init__(self, name: str, id: int):
self.name = name
self.id = id
async def get_item_price(self):
response = requests.get(url=f'https://catalog.roblox.com/v1/search/items/details?id={self.id}')... |
'''
@ junhyeon.kim
@ emil - sleep4725@naver.com
@ 한국 관광공사 - 지역코드
@ 2019-01-26
'''
# ==================================
import requests
from yaml import load, load_all, YAMLError
import sys
from urllib.parse import urlencode
import pprint
import re
import json
import time
# ==================================
class PROJ:... |
n = 1000000
primes = [True if i > 1 else False for i in range(n+1)]
for p in range(2, n+1):
if p*p <= n and primes[p] is True:
for i in range(p * p, n+1, p): primes[i] = False
for p in range(2, n+1):
if primes[p] is True:
_i, s = [p], str(p)
for i in range(len(s)-1):
s = s[1:] + s[0]
if s[... |
from django.conf.urls import include, url
from . import views
urlpatterns = [
url(r'^username/$', views.username, name="username"),
url(r'^profile/$', views.profile_redirect, name="profile_redirect"),
] |
import numpy as np
number_of_leaves = 9
epsilon = 0.15
delta = 0.15
uniform_samples = 500
iterations = 50
def beta(s):
return np.log(number_of_leaves / delta) + np.log(np.log(s) + 1)
class Node:
def __init__(self, name, left_child, middle_child, right_child, parent, is_root=False, is_max_node=False):
... |
from __future__ import absolute_import, division, print_function
from dials.array_family import flex
from dials_algorithms_centroid_simple_ext import *
from dxtbx import model
|
'''
@author: aby
'''
from django.db import models
from tinymce.models import HTMLField
from jsonfield.fields import JSONField
from django.core.urlresolvers import reverse
from django.utils.text import slugify
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from django.db.model... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Nov-29-20 16:18
# @Author : Kelly Hwong (dianhuangkan@gmail.com)
import os
import argparse
from datetime import datetime
import tensorflow as tf
from keras_fn.resnet import model_depth, resnet_v2
from keras_fn.transfer_utils import transfer_weights... |
"""
At Chip's Fast Food emporium there is a very simple menu. Each food item is selected by entering a digit choice.
Here are the three burger choices:
1 – Cheeseburger (461 Calories)
2 – Fish Burger (431 Calories)
3 – Veggie Burger (420 Calories)
4 – no burger Here are the three drink choices:
1 – Soft Drink ... |
import os
import json
import h5py
import numpy as np
from scipy import sparse
import collections
import math
import torch
import caption.readers.base
NUM_RELS = 6
UNK_WORDEMBED = np.zeros((300, ), dtype=np.float32)
PIXEL_REDUCE = 1
class ImageSceneGraphFlatReader(caption.readers.base.CaptionDatasetBase):
def __ini... |
import numpy as np
import random
number_of_try=1000
number_of_restart=10
# number_of_try=100
# number_of_restart=5
FileName="large"
with open(FileName+".txt") as f:
file=f.readlines()
f.close()
minizinc=""
file = [x.strip() for x in file]
file = [x.split(" ") for x in file]
#file = [x.split("\t") for x in fi... |
# https://leetcode-cn.com/problems/ba-shu-zi-fan-yi-cheng-zi-fu-chuan-lcof/
# 剑指 Offer 46. 把数字翻译成字符串
class Solution:
def translateNum(self, num: int) -> int:
num = str(num)
cnt = 0
def recur(p: int):
nonlocal cnt
if p >= len(num) - 1:
cnt += 1
... |
"""Check if userbot alive. If you change these, you become the gayest gay such that even the gay world will disown you."""
import asyncio
from telethon import events
from telethon.tl.types import ChannelParticipantsAdmins
from platform import uname
from userbot import ALIVE_NAME
from userbot.utils import admin_cm... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
import os
path = r'/home/igeng/PycharmProjects/google_recog/Spoken_Number_Recognition_mfcc/codes/google_commands/audio_tr/'
for name in range(30):
os.mkdir(path+str(name)) |
import random
pool_size=10
mutation_prob=0.2
cross_prob=0.8
def marking_function(x):
value=int(x, 2)
return 2*(value*value+1)
def roulette_sum(genes):
sum=0
for x in genes:
sum+=marking_function(x)
return sum
def prob(x,sum):
return marking_function(x)/sum
def select_genes(... |
def count(fileData):
inputData = open(fileData,'r')
lines = inputData.readlines()
N = int(lines[0])
open('output.txt', 'w').close()
outputData = open('output.txt', 'a')
j = 1
i = 0
maxim = 10000000
last_num = 0
while j <= N:
i += 1
list_num = set()
number = int(lines[i])
for x in r... |
# -*- coding: utf-8 -*-
"""
Created on Tues Jun 03 08:00:53 2014
@author: nataliecmoore
Script Name: USDA_AJ_PY018_SCRAPER
Purpose:
Find the Georgia f.o.b. dock quoted price on broilers/fryers
Approach:
Found the relevant section of the website and used python string parsing
to find the quoted price.
Author: Nata... |
# Stdlib
import datetime
import time
import pdb
# 3rd party
from dateutil.parser import parse as date_parse
import pytz
# Custom
from .constants import THIS_DIR
from .regex_ import make_bdry_regex, match_all
"""
times = [
'', 'abc', 'abc:def', '4:3', '40:3', # Fail
'09:50', '10:25', ... |
import requests
from assessment import price_result, create_file
def main():
"""
Main function will convert the data into json format and storing into Data varaible
"""
url = 'https://api.coinranking.com/v1/public/coin/1/history/30d'
get_data = requests.get(url)
json_data = get_data.json()
data = json_data['d... |
import numpy as np
from astropy.io import ascii
from astropy.constants import c
import astropy.units as u
import naima
from naima.models import (ExponentialCutoffBrokenPowerLaw, Synchrotron,
InverseCompton)
ECBPL = ExponentialCutoffBrokenPowerLaw(amplitude=3.699e36 / u.eV,
... |
cont = 0
maior = menor = 0
maior_nome = []
menor_nome = []
while True:
name = input('Nome: ')
weight = float(input('Peso : '))
if cont == 0:
menor = maior = weight
elif cont >= 1:
if weight > maior:
maior = weight
maior_nome.append(name)
if weight < menor... |
#Program that allows a user to access two different financial calculators:
#an investment calculator and a home loan repayment calculator
import sys
import math
#Determine type of calculator the user requires
print("Choose either 'investment' or 'bond' from the menu below to proceed:")
print("\nInvestment\... |
"""
Homework 8 max
"""
# if-block
if 1 == 1:
x = 123
print("global x =", x)
if x == 123:
print("x is a global variable")
else:
print("x is not a global variable")
# for-block
for i in (1,2,3):
pass
if i == 3:
print("i is a global variable")
else:
print("i is not a global variable")
|
import itertools
import sys
import time
import unittest
import numpy as np
import pandapower as pp
import pandas as pd
from lib.data_utils import indices_to_hot, hot_to_indices
from lib.dc_opf import (
StandardDCOPF,
LineSwitchingDCOPF,
TopologyOptimizationDCOPF,
MultistepTopologyDCOPF,
GridDCOPF,... |
# Sample : https://qiita.com/Kosuke-Szk/items/eea6457616b6180c82d3
REPLY_ENDPOINT = 'https://api.line.me/v2/bot/message/reply'
def post_text(reply_token, text):
header = {
"Content-Type": "application/json",
"Authorization": "Bearer {ENTER_ACCESS_TOKEN}"
}
payload = {
"replyToken... |
from numpy import exp, array, random, dot
import numpy as np
class randomise():
# Creating the neuron layer and randomising the weights.
def __init__(self, numberNeurons, numberInputs):
self.weights = 2 * random.random((numberInputs, numberNeurons)) - 1
class NeuralNetwork():
def __in... |
import base64, ast
import pandas as pd
def decode_game_state(state):
decoded = base64.b64decode(state)
dict_string = decoded.decode("UTF-8")
data = ast.literal_eval(dict_string)
df = pd.DataFrame(data)
grid = pd.DataFrame(df['gridObj'])
grid = grid.drop(grid.index[0])
grid.reset_index(inpla... |
__author__ = 'Markus Prim'
def rgb_to_hex_rep(r, g, b):
color = str()
color += "#"
color += str(hex(r)[2:]).zfill(2)
color += str(hex(g)[2:]).zfill(2)
color += str(hex(b)[2:]).zfill(2)
return color
|
import logging
import os
LOG = logging.getLogger()
INFO = 'INFO'
DEBUG = 'DEBUG'
WARNING = 'WARNING'
FATAL = 'FATAL'
# lp = r'\('
# rp = r'\)'
# lb = r'\['
# rb = r'\]'
#
# lbp = lb + lp
# rbp = rb + rp
#
# LOG_LEVEL = r'[A-Z]+'
# LOG_TID = r'\d+'
# LOG_TIME = r'.*'
# LOG_FILE_LINE = r'.*:\d+'
# LOG_FUNC_NAME = r'\w... |
import hashlib
from django.core.mail import send_mail
from django.template import loader
from flask import render_template
from flask_mail import Message
from app.ext import mail
from app.models import Cart, Goods
from settings import SERVER_HOST, SERVER_PORT
def hash_str(source):
return hashlib.new('sha512', ... |
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model
from sklearn.metrics import mean_squared_error, r2_score
def visualise_dataset_sample(features, targets, num_samples = 20):
indices = list(range(features.shape[0]))
num_samples = min(num_samples, len(indices))
sam... |
# -*- coding: utf-8 -*-
# @Time: 2020/3/28 11:48
# @Author: Rollbear
# @Filename: test_label_pick.py
# 测试附件一（三级标签）的抓取
from entity.label import LabelNode
from util.xl_read import *
import openpyxl
def main():
# 两种方式：
# 从excel表格获取所有标签，组成树形结构
root = read_labels("../xls/e1.xlsx")
# 从excel表格读取标签，组成列表
... |
#Tal Aizikov 101150420
#This will display a calculation and solve it
print("Do you want to know what (2.019x10^-9 x 5.76x10^-7) / (7.16x10^-4 + 9.23x10^-7)") #getting user engaged
num = ((2.019*(10^-9) * 5.76*(10^-7)) / (7.16*(10^-4) + 9.23*(10^-7))) #Calculating what it is
#The line above is not neccesary b... |
# import
from zipfile import *
import os
# set build path
builddir = r'C:\Users\roey.c\Desktop\lab_days'
# for all sub-folders inside the build folder
for subdir, dirs, files in os.walk(builddir):
print subdir, dirs, files
# change the current directory
os.chdir(subdir)
# for each file in the curren... |
from .callbacks import supports_callbacks
__version__ = '0.2.0'
__doc__ = """
This library allows you to place decorators on functions and methods that
enable them to register callbacks.
"""
|
#!/usr/bin/python -S
"""
oheap2_test.py: Tests for oheap2.py
"""
from __future__ import print_function
import unittest
from ovm2 import oheap2 # module under test
class Oheap2Test(unittest.TestCase):
def testAlign4(self):
self.assertEqual(0, oheap2.Align4(0))
self.assertEqual(4, oheap2.Align4(1))
se... |
"""
Routable Cherry Controllers
This code let's you combine CherryPy's nice default hierarchial dispatcher
with the ability to setup arbitrary routes to chosen targets.
Routes are attached directly to the method that handles the request rather than
in a separate configuration file
For example:
AccountsController(Bas... |
# -*- coding: utf-8 -*-
import scrapy
import collections
import json
class AirbnbSpider(scrapy.Spider):
name = 'airbnb'
allowed_domains = ['www.airbnb.com']
start_urls = ['http://www.airbnb.com/']
def start_requests(self):
url = ('https://www.airbnb.ca/api/v2/explore_tabs?_format=for_explore_s... |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2014-Today Jonathan Finlay <jfinlay@riseup.net>.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# ... |
import constants as C
def checkTop(host,target):
rect = host.rect
target = target.rect
# since it is 2 pixels, it breaks when we get closer than 2 pixels on a given edge
# Need to make it so that the code will move our object back if it will overlap,
# Perhaps checking if top+1 will make us on... |
from django.shortcuts import render
from stats.models import Master, Batting, Fielding, Pitching
from rest_framework.generics import ListCreateAPIView, RetrieveUpdateDestroyAPIView
from stats.serializers import MasterSerializer, BattingSerializer, FieldingSerializer, PitchingSerializer
class MasterListCreateAPIView(Li... |
# Generated by Django 3.1 on 2020-08-30 20:32
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... |
# -*- coding: utf-8 -*-
from hearthstone.entities import Entity
from entity.spell_entity import SpellEntity
class LT21_016_(SpellEntity):
"""
颅骨之尘4
嗞啦会获得流血（5）。
"""
def __init__(self, entity: Entity):
super().__init__(entity)
def equip(self, hero):
pass
|
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase, APIRequestFactory
from .models import Room
from .views import ListCreateRoomAPIView, RetrieveUpdateDestroyRoomAPIView
class CreateRoomTest(APITestCase):
def setUp(self):
self.view = ListCreate... |
# Generated by Django 2.1.7 on 2019-05-21 13:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('cv', '0008_auto_20190517_0952'),
]
operations = [
migrations.AlterField(
model_name='job',
... |
#quicksort python implementation
##pseudocode
#quicksort(A,start,end)
#if(start<end)
#partition(A,start,end)
#quicksort(A,start,pIndex-1)
#quicksort(A,pIndex+1,end)
#
#partition(A,start,end)
#pivot = A[end]
#pIndex = (start-1)
#for(0 to end-1)
#{if(A[i]<=pivot)
#swap A[i],A[pIndex]
#pIndex = pIndex+1
#}
#swap A[pIndex+... |
import pandas as pd
from sqlalchemy import create_engine
engine = create_engine('mysql+pymysql://Joe:sjjgtjytz@localhost:3306/quant')
sql_query = 'select * from user;'
df_read = pd.read_sql_query(sql_query, engine)
test = df_read.to_json(orient='records')
print(test) |
import json
import sys
from src.common.Logger import Logger
from src.common.app import App
from src.common.AppiumScreenshot import ScreenShot
log = Logger("main").logger()
with open('../config/MyObservatoryEle.json') as json_file:
ele = json.load(json_file)
class MyObservatory(App):
@classmethod
def my... |
def style(output):
def decorate(f):
if output == "bold":
def wrap():
return "<bold>" + f() + "</bold>"
elif output == "italics":
def wrap():
return "<i>" + f() + "</i>"
return wrap
return decorate
def bold():
print "bold() cal... |
import argparse
import tarfile
from collections import defaultdict
from typing import Dict, List
from sacrerouge.data import Metrics, MetricsDict
from sacrerouge.io import JsonlWriter
def load_summaries(eval_tar_2: str):
summaries = defaultdict(dict)
with tarfile.open(eval_tar_2, 'r') as tar:
for mem... |
import subprocess
from config import *
vert_imname_res = [
re.compile(r'cm[em][0-9]+$'),
re.compile(r'knk[clq][0-9]+$'),
re.compile(r'nk2[cj][0-9]+$'),
re.compile(r'ssk[ikno][0-9]+$'),
re.compile(r'zps[efim][0-9]+$'), ] # 哪些文件是横向文字
for k, v in dict_image.items():
language = 'jpn'
for vert... |
import math
import numpy as np
import matplotlib.pyplot as plt
# http://nghiaho.com/?page_id=671
fig = plt.figure()
axes1 = plt.subplot(111)
axes1.axis("equal")
original_pts_np = np.mat([[0,1.0],[2.0,2.0],[1.0,0]])
rot_angle = np.pi/4.0
c = math.cos(rot_angle)
s = math.sin(rot_angle)
ground_truth_rot_mat = np.mat([[... |
import os.path as osp
import cv2
import os
import numpy as np
import torch
import models.modules.EDVR_arch as EDVR_arch
import math
from torchvision.utils import make_grid
testpath = '/input/testpngs'
out_path = '../results'
index = 0
def read_img(img_path):
"""Read an image from a given image path
Args:
... |
import objPais
import pickle
import btree as b
btree = b.BTree(4)
binaries = open('binaries.kbb', 'rb')
arq = open('tourism.pkl', 'wb')
for i in range(1, 196):
pais = pickle.load(binaries)
print (pais.name)
btree.insert([pais.tourism, pais.name, i])
pickle.dump(btree, arq)
binaries.close(... |
# BASIC STATISTICS
# DATA ANALYSIS
# _______________
# GET TO KNOW YOUR DATA
# LITTLE DATA -> SIMPLY LOOK AT IT
# BIG DATA -> ???
# NUMPY HAS FRIENDLY STATISTICAL FUNCTIONS SUCH AS:
# _________________________________________________
# np.mean(), np.median(), np.corrcoef() to check for correlations
# np.std() for sta... |
import os
import re
import difflib
import datetime
def find_max(data, devices):
try:
if devices == "2DVD":
output = max(data)
return output
elif devices == "OTT":
list_ott = []
for i in data:
list_ott.append(datetime.datetime.strptime(... |
from selenium import webdriver
import time
driver = webdriver.Chrome()
url = "https://www.dailyobjects.com/auth/login"
driver.get(url)
phone_number=driver.find_elements_by_class_name("mat-form-field-autofill-control")[0]
phone_number.click()
phone_number.send_keys("9999999999")
time.sleep(2)
driver.find_elements_b... |
#!/usr/bin/env python3
# Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import shutil
import subprocess
from glob import glob
from common import die, green
def main() -> None:
ensure_shellcheck_installed()
run_shellcheck()
def e... |
import math
def Fahrenheit_to_Kelvin(F):
return 273.5 + ((F - 32.0) * (5.0/9.0))
Pt=2068000 #1500psi --> Pa #Pt is chamber pressure
gam = 1.3 #property of your working fluid
Tt=Fahrenheit_to_Kelvin(3539.93) #temperature in the chamber
p0=101352.932 #free stream pressure outside nozzle -> Pa 1 atm?
Averag... |
import unittest
from my_jc import ActionProcessor
class JCTest(unittest.TestCase):
# Negative Tests
def test_neg_1(self):
data = '{"abc":"run", "time": 10}'
s = ActionProcessor()
res = s.addAction(data)
self.assertEqual(res, -1)
stats = s.getStats()
self.assertEqu... |
from django.test import TestCase
from django.contrib.auth.models import User
from .models import TravelType, Trip, Questions
import datetime
from .forms import TripForm, TravelTypeForm, QuestionsForm
from django.urls import reverse_lazy, reverse
# Create your tests here.
class TravelTypeTest(TestCase):
def setUp(s... |
from pynag.Model import Host
from pynag.Control.Command import send_command
from wb_services.hosts import Hosts
from wb_services.hosts.ttypes import Datapoint
ATMO_HOSTGROUP_NAME = 'atmo-vms'
ATMO_HOST_TEMPLATE = 'atmo_vm'
ATMO_HOST_FILE = '/etc/nagios/atmo-hosts.cfg'
class Handler(Hosts.Iface):
def __init__(se... |
# halite -d "30 30" "python3 shummiev3-6.py" "python3 shummiev3-5.py"
import subprocess
import re
from collections import Counter
num_games = 100
games_played = 0
rank_list = []
while games_played < num_games:
if games_played % 5 == 0:
print("Running Game #:" + str(games_played))
#stdoutdata = subpro... |
from bota.web_scrap.dotavoyance.dotavoyance import Dotavoyance
from bota.web_scrap.heroes_process import find_hero_name
from bota.image_processing import add_border_to_image, write_text_pil
import cv2
import os
from bota import constant
from bota.help import TEAM_CMD_EXAMPLE
DV = Dotavoyance()
SORT_BY_KEYS = ['high', ... |
"""UI module of Colorium's Asset Management Tool. This module creates the UI using Colorium's CUI module."""
import maya.cmds as cmds
import colorium.ui as ui
import colorium.asset_type_definition as asset_type_definition
import colorium.scene_name_parser as scene_name_parser
import colorium.command as command
import ... |
"""
README.md example
"""
import goenrich
# build the ontology
G = goenrich.obo.graph('db/go-basic.obo')
# use all entrez geneid associations form gene2go as background
# use goenrich.read.goa('db/gene_association.goa_ref_human.gz') for uniprot
background = goenrich.read.gene2go('db/gene2go.gz')
goenrich.enrich.set_... |
import os
import numpy as np
import pandas as pd
import pickle
from sklearn.model_selection import train_test_split
from utils import taLogging
logger = taLogging.getFileLogger(name='util',file='log/util.log')
sep=' '
max_len = 60
flags = r'[。！？；]'
import re
line_max = 20
def get_entity(x,y,id2tag):
"""
组合实体
... |
#
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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... |
import os
import math
import random
import pyautogui
import subprocess
from system_hotkey import SystemHotkey
import time
time.sleep(5)
# Playing around with pyautogui and SystemHotkey packages in Paint
pyautogui.FAILSAFE = False
# pyautogui.PAUSE = 0.5
def abort(self):
print("ABORT")
os.... |
import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
################## Data set collection #################
face_classifier = cv2.CascadeClassifier('C:/Users/Abhilasha kumari/IdeaProjects/Face_Recognition_Mini_Project/opencv-master/data/haarcascades/haarcascade_frontalface_defaul... |
# -*- coding: utf-8 -*-
import utils.sqlbase as sqlbase
import utils.sqlitebase as sqlitebase
import initres
TBL_NAME = 'tbl_wall'
DB_NAME = initres.bingpath + '/wall.db'
_DB_SCRIPT = """
CREATE TABLE tbl_wall (
"day" VARCHAR(128) NOT NULL default '',
"urlbase" VARCHAR(256) NOT NULL... |
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