text stringlengths 38 1.54M |
|---|
import bisect
a = [2,7]
size = 33
for i in range(3,size):
if i%2 == 0:
a.append(a[-1]+7)
else:
a.append(a[-1]+3*a[-2])
b = a[:16]
c = a[16:]
allowedNumbersB = []
allowedNumbersC = []
def f(currentIndex, tillNowSum, type):
if currentIndex >= size/2:
if type == 0:
allowed... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# TODO: could use some profiling to increase speed
import solutions.utils as utils
def parse_input(fpath):
with open(fpath) as f:
for line in f:
yield int(line)
def solver1(jumps, part2flag=False):
steps = 0
position = 0
while Tru... |
from mite.stats import Counter, Histogram, extractor, matcher_by_type
_PAGE_LOAD_METRICS = [
("dns_lookup_time", "seconds"),
("dom_interactive", "seconds"),
("js_onload_time", "seconds"),
("page_weight", "bytes"),
("render_time", "seconds"),
("tcp_time", "seconds"),
("tcp_time", "seconds"),... |
from django.conf.urls import url,include
from django.contrib.auth.views import login,logout
from . import views
urlpatterns=[
url(r'^signup/$',views.signup,name='signup'),
url(r'^login/$',login,name='login'),
url(r'^logout/$',login,name='logout'),
url(r'^profile/$',views.profile,name='profile'),
] |
"""
hmm.py
A program for estimating the hidden state sequence of DNA sequence data
using Hidden Markov Models. Both Viterbi's Algorithm and the Forward Backward
algorithm are implemented.
Authors:
Nathan Holeman
Tyler Huntington
April 16, 2018
"""
import optparse
from math import log, e
from viterbi import ViterbiC... |
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the happyLadybugs function below.
def isLadybugsAreHappy(str_list):
for i in range(len(str_list)):
if i == 0:
prev = ''
else:
prev = str_list[i - 1]
if i == len(str_list) - 1:
... |
from client import Client
import time
import threading
msgs = []
c1 = Client("Tudor")
c2 = Client("Gigi")
c3 = Client("ANdi")
time.sleep(1)
def update_messages():
while True:
try:
time.sleep(0.1)
messages_to_show = c1.get_messages()
msgs.extend(messages_to_show)... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
def create_roles_table(testdb):
table_name = 'IF NOT EXISTS ROLES'
column0 = 'ID INT NOT NULL PRIMARY KEY'
column1 = 'ROLE CHAR(20) NOT NULL'
columns = (column0, column1)
testdb.create_table(table_name, columns)
testdb.insert('ROLES', ('ID', 'ROLE'), (... |
from sklearn.preprocessing import Normalizer, StandardScaler
import csv
import random
def readData():
X = []
Y = []
with open('data/train.csv', 'r') as csvfile:
spamreader = csv.reader(csvfile)
for row in spamreader:
print x
if __name__ == '__main__':
readData() |
# Python RPA Developer Course
# Reading and Writing Files, OS utilities, and Libraries
# first lets define a valid file path
mypath = r"C:\Users\david\Desktop\new_file.txt"
f = open(mypath, "w")
f.write("HELLO. THIS IS A TEST")
f.close()
import os
# Get current working directory
os.getcwd()
# libraries can have su... |
"""
Declare all global variables
"""
import os
flags = dict()
# static folder
flags['experiment_folder'] = os.path.join(os.path.join('Modules', 'experiment_he_dcis_segmentation'))
###################################################################################
# training
flags['gpu'] = '/gpu:0'
flags['min_fractio... |
import random
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
from core.models import Conversa
#from nltk.corpus import wordnet, stopwords
from random import choice
import sys
class iaService:
bot = None
trainer = None
conversaDefault = ['Oi', 'Olá',
'Tu... |
#import copy
class UndirectedGraph:
def __init__(self, vertices):
self.__numberVertices = vertices
self.__dictEdges = {}
for i in range(0,vertices):
self.__dictEdges[i]=[]
def addVertex(self, vertex):
if vertex in self.__dictEdges:
raise Exc... |
import tkinter as tk
from loader_sim import *
try:
import pyperclip
except ImportError:
print("Install pyperclip if you want to use the clipboard functionality")
fileHandle = open("loader.c", "r")
loaderc = fileHandle.read()
fileHandle.close()
# Line numbers in loader.c for each of the stages where the progra... |
import logging
import mock
import pytest
import json
import datetime as dt
from ga4ghtest.core.queue import create_submission
from ga4ghtest.core.queue import get_submissions
from ga4ghtest.core.queue import get_submission_bundle
from ga4ghtest.core.queue import update_submission
logging.basicConfig(level=logging.DE... |
import time
import os, sys
import numpy as np
#assign defaults
dt = 1./500
num_readings = 4000
file_name = 'accel_data_default.csv'
#open file (and remove if necessary)
if os.path.exists(file_name):
print('Output file exists, removing file.')
os.remove(file_name)
f = open(file_name,'a')
time = np.arange(0, d... |
from re import Match
from typing import Type
from xml.etree.ElementTree import Element
import markdown
from markdown import Markdown
from markdown.extensions import Extension
from markdown.inlinepatterns import Pattern
from markdown.util import AtomicString
class HashToSpanCounterPattern(Pattern):
def handleMat... |
from collections import UserDict
import sqlite3
import datetime
from dotenv import dotenv_values
config = dotenv_values(".env")
def create_connection(db_file):
connection = None
try:
connection = sqlite3.connect(db_file)
return connection
except sqlite3.Error as e:
print(e)
def ... |
# @file ReservationStation.py
# @authors Stephen
#private constants for readability
ID = 0
DEST = 1
OPERATION = 2
TAG_I = 3
TAG_J = 4
VALUE_I = 5
VALUE_J = 6
EXECUTING = 7
class ReservationStation:
"""
This class implements a generic reservation station
"""
def __init__(self, size, name)... |
import subprocess
from subprocess import Popen, PIPE
import os
file_p = open("/Users/sarahgonsalves223/Desktop/DSA_Python/problems", "r")
contents = file_p.read()
lines = contents.split("\n")
problems = []
for i,line in enumerate(lines):
if i%2 == 0:
problem = line.strip()
problems.append(problem)
... |
#Attempt to simulate the spiral/circular movement of particles in a fluid.
#In this case I tried to model a hurricane/tornado
from vpython import *
import random
import math
import numpy
# Set up scene
tela = canvas(height = 650, width = 1340, background = vec(0,0,0.2),
center = vector(0, 0, 0... |
import tkinter as tk
import time
import webbrowser
# 创建主窗口
window = tk.Tk()
window.title('微AI战队')
window.geometry('630x150')
# 设置下载进度条
tk.Label(window, text='Training', ).place(x=50, y=60)
canvas = tk.Canvas(window, width=465, height=22, bg="white")
canvas.place(x=110, y=60)
# 显示下载进度
def progress():
# 填充进度条
... |
class Solution:
def minPathSum(self,grid):
m = len(grid)
n = len(grid[0])
pre = [0] * n
t = 0
for i in range(n):
pre[i] = t + grid[0][i]
t += grid[0][i]
for i in range(1,m):
cur = [0] * n
for j in range(n):
cur[j] = pre[j] + grid[i][j] if j == 0 else min(pre[j],cur[j - 1]) + grid[i][j]
... |
import requests
import mock
import pytest
from pytest_mock import mocker
from votesmart.api import VoteSmartAPI
def test_sanity():
assert 1 + 1 == 2
def test_init_api_no_key():
with pytest.raises(ValueError):
VoteSmartAPI()
def test_api_set_payload():
vsmart = VoteSmartAPI(api_key="fake_key")
... |
# Python Mentee - Level 3 - Exercises
# https://bairesdev.atlassian.net/servicedesk/customer/article/2101576225
# 4 - Write a Python function using list comprehension that receives a list of words and
# returns a list that contains:
# _ The number of characters in each word if the word has 3 or more charac... |
"""
linalg.qr(a[, mode])
|- QR因子计算
|- QR方法是Francis于1961年发表的用于求解所有特征值的算法呢。
|- 该算法对对称矩阵和非对称矩阵都适用，都可以分解成正交矩阵Ｑ和上三角矩阵Ｒ乘机的形式。
linalg.svd(a[, full_matrices, compute_uv])
|- 奇异值分解
这个函数不掌握
linalg.cholesky(a)
|- 柯列斯基(Cholesky)分解
SVD分解收说明：
SVD也是对矩阵进行分解，但是和特征分解不同，SVD并不要求要分解的矩阵为方阵。假设我们的矩阵A是一个m×n
的矩阵... |
from input_script_functions import *
from output_processing_functions import *
from os import system
from sys import exit
from time import time
from openpyxl import Workbook
__author__ = 'Max'
# all parameters are defined in depth in run_framework.py
def run_aermod_framework(surface_observations_file,
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 9 16:29:49 2020
@author: rdamseh
"""
import magic_vnet as vnet
import numpy as np
import torch
def model_size(model):
model_parameters = filter(lambda p: p.requires_grad, model.parameters())
params = sum([np.prod(p.size()) for p in model_p... |
def fuel(mass):
return int(int(mass) / 3) - 2
with open("inputs.txt") as f:
data = f.readlines()
sum = 0
for mass in data:
sum += fuel(mass)
print sum |
from artiq.experiment import *
class SAWGTest(EnvExperiment):
"""test_spline0
purpose:
test:
expectation:
setup:
"""
def build(self):
print(self.__doc__)
self.setattr_device("core")
self.setattr_device("sawg0")
self.setattr_device("sawg1")
self.setatt... |
from django.db import models
from django.contrib.auth.models import User
from django.urls import reverse
# Create your models here.
class Idea(models.Model):
idea = models.TextField()
save_time = models.TextField()
save_money = models.TextField()
save_effort = models.TextField()
def get_absolute_... |
def calc(field, x, y):
# print (
# field[x-1][y-1] ,
# field[x-1][y] ,
# field[x-1][y+1] ,
# field[x][y-1] ,
# field[x][y+1] ,
# field[x+1][y-1] ,
# field[x+1][y] ,
# field[x+1][y+1],
# )
return (
field[x-1][y-1] +
field[x-1][y] +
field[x-1][y+1] +
field[x][y-1... |
from fqueue import Queue
import multiprocessing
import sys
import time
def sigint():
import signal, os
def sig(n, f):
os.kill(0, signal.SIGTERM)
signal.signal(signal.SIGINT, sig)
def randstr(l=10, chars='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789'):
from random import c... |
import numpy as np
def batchify(X, batch_size, y=None):
l = len(X)
for ndx in range(0, l, batch_size):
if y is None:
yield X[ndx:min(ndx + batch_size, l)]
else:
yield X[ndx:min(ndx + batch_size, l)], y[ndx:min(ndx + batch_size, l)]
"""
Below 3 methods are taken from the... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-12-09 20:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('devnoob', '0006_auto_20171209_2026'),
]
operations = [
migrations.AlterFiel... |
# encoding utf-8
import os # On importe le module os qui dispose de variables
# et de fonctions utiles pour dialoguer avec votre
# système d'exploitation
# Programme testant si une année, saisie par l'utilisateur, est bissextile ou non
annee = input("Saisissez une année : ") # On attend que l'u... |
from django.db import models
class Clinic(models.Model):
id = models.AutoField(primary_key=True)
name = models.CharField(max_length=20, blank=False, null=False)
department = models.CharField(max_length=20, blank=False, null=False)
address = models.CharField(max_length=20, blank=False, null=False)
... |
#!/usr/bin/python
import sys
import subprocess
import re
import os
import glob
def print_usage(exit_code):
print("%s <path> [<encoding>]" % sys.argv[0])
exit(exit_code)
def read_file(filename, encoding):
return open(filename).read().decode(encoding, 'ignore').encode('utf-8')
def translate_file(smipath, encoding)... |
from __main__ import *
#-----------------------------------------------------------------------------#
#Global variables:
#-----------------------------------------------------------------------------#
MAX_ITER = 1000
PRINT_AT_N_ITER = 1
SAVING_INTERVAL = 1
SAVE_FOLDER_DETAILED = "outputs_detailed/"
SAVE_FOLDER_CONVER... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 17 13:35:14 2018
@author: Bryan
"""
# Part 1 - Data Preprocessing
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Churn_Modelling.csv')
X = dataset.il... |
# Programmer: Daniel Pozmanter
# E-mail: drpython@bluebottle.com
# Note: You must reply to the verification e-mail to get through.
#
# Copyright 2003-2007 Daniel Pozmanter
#
# Distributed under the terms of the GPL (GNU Public License)
#
# DrPython is free software; you can redistribute it and/or ... |
import numpy as np
a = np.linspace(1, 999, 999)
b = [i for i in a if i % 3 == 0 or i % 5 == 0]
np.sum(b)
|
# Generated by Django 3.2.5 on 2021-07-27 21:13
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('crops', '0001_initial'),
('sows', '0001_initial'),
migr... |
#!/usr/bin/env python
# coding: utf-8
# # # This is a Python Project on an Amazon e-commerce Customer Reviews Data Set with Fashion Products
# # DATA GATHERING AND CLEANSING
# In[ ]:
# Connect to dataset
# In[112]:
import os
os.chdir(r"C:\Users\alina\Documents\dsa python prject\Ali\Data")
os.getcwd()
impor... |
import random
import numpy as np
import matplotlib.pyplot as plt
from vpython.graph import *
from pylab import *
"""
Metropolis algorithm for a one-dimensional Ising chain.
"""
# initialize graph/plot
scene = display(x=0,y=0,width=700,height=200, range=40,title="Spins")
engraph = gdisplay(y=200,width=700,height=300,... |
##############################################################################
#
# Copyright (c) 2001, 2002 Zope Corporation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
# T... |
# Operadore Lógicos
# not and or
# not -> Negação - inverte o retorno - True para False , False para True
# and -> E - Retorna True se todas as condições forem verdadeiras
# or -> ou - Retorna True se uma das condições for verdadeira
num1 = 7
num2 = 5
num3 = 4
print (num1 > num2 and num2 > num3)
print (num1... |
from modules.attention import ResidualAttentionBlock
from modules.involution import Involution2d
import torch
import torch.nn as nn
import modules
class GenericBackbone(nn.Module):
def __init__(
self,
module_configs : list[dict]
):
'''
args:
module_configs: list[d... |
# -*- coding: utf-8 -*-
class Config:
BROKER_URL = 'redis://localhost:6379/0'
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
|
"""
页面信息相关的视图函数
"""
from rest_framework import generics
from rest_framework.permissions import IsAuthenticated
from rest_framework.filters import SearchFilter, OrderingFilter
from django_filters.rest_framework import DjangoFilterBackend
from docs.models.info import InfoCategory, Info, InfoValue
from docs.serializers.i... |
from __future__ import unicode_literals
from flask import session
from fossir.core import signals
from fossir.core.logger import Logger
from fossir.core.settings import SettingsProxy
from fossir.util.i18n import _
from fossir.web.flask.util import url_for
from fossir.web.menu import SideMenuItem
logger = Logger.g... |
def string(s1,s2):
if len(s1)>len(s2):
print(s1)
elif len(s2)>len(s1):
print(s2)
else:
print(s1)
print(s2)
s1=input()
s2=input()
string(s1,s2)
|
# -*- coding: utf-8 -*-
"""
@ time : 2018/6/2
@ author : Xieyz
@ software: PyCharm
"""
from django.utils.deprecation import MiddlewareMixin
class DisableCSRFCheck(MiddlewareMixin):
def process_request(self, request):
setattr(request, '_dont_enforce_csrf_checks', True)
|
class Person():
def __init__(self, personName, personAge):
self.name = personName
self.age = personAge
def showPersonInfo(self):
print(f"Name:{self.name}\nAge:{self.age}")
class Student():
def __init__(self, studentId, doj):
self.studentId = studentId
... |
# coding: utf-8
from ellen.utils import temp_repo
def test_list_branches(tmpdir, Jagare):
path = tmpdir.strpath
t_repo = temp_repo.create_temp_repo(path, is_bare=True)
branches = Jagare.list_branches(path)
assert branches == t_repo.branches
def test_create_branch(tmpdir, Jagare):
path = tmpdir... |
def get_alert_box(msg,request):
html = '''
<script>
alert('{}');
document.location.href = '{}'
</script>
'''.format(msg,"").format(request.META.get('HTTP_REFERER'))
return html |
import time
from threading import Thread
from PyQt5 import QtWidgets
from PyQt5.QtCore import Qt
from Design_ui.Ui_files.progressbar import Ui_Dialog
from Threaads.ProgressBarThread import ProgressBarThread
from Threaads.QuestionThread import Start_Thread
from Design_ui.Abstract.QuestionWindow import QuestionWindow
... |
#python code for cracking XOR encryption
#code from Cyber Security Essentials by James Graham
count = len(data)
for key in range(1,255):
out = ''
for x in range(0,count):
out += chr(ord(data[x]) ^ int(key))
results = out.count('.com') + out.count('http') + out.count('pass')
if results:
... |
# -*- coding: utf-8 -*-
from django.apps import AppConfig
from common_utils.mail import send_template_mail
from notes.signals import note_created
class NewsConfig(AppConfig):
name = 'news'
verbose_name = 'Správy'
def ready(self):
News = self.get_model('News')
note_created.connect(self.note_created, sender=Ne... |
import json
import os
from django.core.management.base import BaseCommand
from conference_scrapper.conference.models import Conference, ConferenceGraphEdge
def splitter(f):
for line in f:
yield line.split("\t")
class Command(BaseCommand):
help = 'Parses files with raw data and create csv file with... |
#!/bin/python3
"""
__filename__ = "ec2_scheduler.py"
__author__ = "Craig Poma"
__credits__ = ["Craig Poma"]
__license__ = "Apache License 2.0"
__version__ = "1.0.0"
__maintainer__ = "Craig Poma"
__email__ = "cpoma@mitre.org"
__status__ = "Baseline"
See the requirements.txt file to install libraries for Python 3 this c... |
import matplotlib.pyplot as plt
class Color(object):
def __init__(self, r, g, b):
self.r = r
self.g = g
self.b = b
def __repr__(self):
plt.imshow([[(self.r / 255, self.g / 255, self.b / 255)]])
plt.show([[(self.r / 255, self.g / 255, self.b / 255)]])
#p... |
import pandas as pd
data = pd.read_csv("C:\\Users\\ytjh0\\Desktop\\lottery.csv")
data2 = data.drop(["round","date"],axis=1)
data3=data2.apply(pd.value_counts).fillna(0).astype(int)
data3=data3.sum(axis=1)
print(data3.sort_values(ascending=False))
|
"""
Title: Long-only timeseries momentum hedged with broad market index.
Description: This strategy uses past returns to rank securities
and go long (short) the top (bottom) n-percentile
Style tags: Momentum
Asset class: Equities, Futures, ETFs, Currencies
Dataset: US Equities or NSE... |
from django.db import models
from django.contrib.auth.models import User as DjangoUser
class Game(models.Model):
"""
Game model keep track of game board state for a tic-tac-toe game.
Fields:
board a 9 character string, each of the 9 positin can hold:
'X' or 'O', this state that the space is played.
' ' me... |
from django.urls import path, include
from django.contrib import admin
from django.contrib.auth.views import LoginView, LogoutView
from generic.views import index
from generic.api_urls import router as data_router
from . import routers
"""
URL definitions for the api.
"""
router = routers.DefaultRouter()
router.exten... |
from plastering.feature_selector import *
import sys
target_building = sys.argv[1]
load_from_file = int(sys.argv[2])
method = "tree"
fs = feature_selector(target_building, method, load_from_file)
fs.run_auto()
|
import z3
import operator
import functools as ft
def hamming_a(bv):
s = bv.size()
return z3.Sum([(bv >> i) & 1 for i in range(s)])
# faster than a
def hamming_b(bv):
s = bv.size().bit_length()
return z3.Sum([z3.ZeroExt(s, z3.Extract(i,i,bv)) for i in range(bv.size())])
# faster than b
def hamming_c... |
# -*- coding: utf-8 -*-
# __author__:'Administrator'
# @Time : 2018/4/16 11:31
import os
import zipfile
import gzip
import tarfile
# 解压zip包
def un_zip(file_name):
zip_file = zipfile.ZipFile(file_name)
new_file_dir = file_name.split(".zip")[0]
if os.path.isdir(new_file_dir):
pass
... |
import numpy as np
from wildcat.solver.qubo_solver import QuboSolver
from wildcat.network.local_endpoint import LocalEndpoint
from wildcat.annealer.simulated.simulated_annealer import SimulatedAnnealer
from wildcat.annealer.simulated.single_spin_flip_strategy import SingleSpinFlipStrategy
from wildcat.annealer.sim... |
#!/usr/bin/python
def gcf(a, b):
while b%a > 0:
a, b = min(a, b), max(a, b)
b %= a
return a
def pythagorean_triple(a):
results = []
for n in range(1, a):
b_sq = 2*a*n + n**2
if b_sq**.5 == int(b_sq**.5):
b = int(b_sq**.5)
if True or gcf(a, b) ==... |
# Credit to: https://machinelearningmastery.com/convert-time-series-supervised-learning-problem-python/
def series_to_supervised(data, n_in=1, n_out=1, dropnan=True):
"""
Frame a time series as a supervised learning dataset.
Arguments:
data: Sequence of observations as a list or NumPy array.
n_in: Number of lag ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2021/1/2 5:40 下午
# @Author : chengyan
# @File : TYJPush.py
# @Software: macos
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_v1_5
import base64
import requests
import json
from logging import getLogger
logger = getLogger('HelloWorld')
... |
from Package import *
from Speak import *
def screenshot():
img = pyautogui.screenshot()
img.save()
|
import datetime
import glob
import os
import time
import cv2
recognizer = cv2.face.LBPHFaceRecognizer_create()
rec = int(input("Введите 1 для фото с веб-камеры, 2 для простых фотографиях: "))
names = None
path = ''
if rec == 1:
recognizer.read(os.getcwd() + '\\face_recognition\\face_recognition_web_camera.yml')
... |
class Solution:
def myAtoi(self, s: str) -> int:
'''字符串转换整数 (atoi)'''
if len(s)==0:#特例
return 0
ret=0
i=0
while s[i]==' ':#去' '
i+=1
if i==len(s):#特例
return 0
pos_neg=-1 if s[i]=='-' else 1#正负号
if s[i] in ['-... |
from prepare_data import get_test_train
from model import XGBootstrapModel
from article import Article, DailyArticles
import numpy as np
from sklearn.metrics import mean_squared_error
from random import shuffle
# Training 909/1728
def generate_options():
all_options = []
for lr in [0.05, 0.1, 0.3]:
... |
# coding: utf-8
# In[92]:
import numpy as np
import matplotlib.pyplot as plt
# # Parameters
# In[93]:
N = 10 # training samples
poly_order = 11 # polynomial order
M = 100 # testing samples
lagrangian = 0.1 # lambda, regularization parameter
# # Generating training samples
# I... |
import discord
import os
from discord.ext import commands
client = commands.Bot(command_prefix='$')
@client.command()
async def play(ctx, url : str):
voiceChannel = discord.utils.get(ctx.guild.voice_channels, name='General')
voice = discord.utils.get(client.voice_client, guild=ctx.guild)
await voiceChannel.co... |
import discord
import asyncio
import os
import time
import random
import openpyxl
from json import loads
from discord.utils import get
from discord import Message
client = discord.Client()
access_token = os.environ["BOT_TOKEN"]
token = "access_token"
@client.event
async def on_ready():
print("====... |
from setuptools import setup
setup(
name = "cmdrunner",
entry_points = {'zc.buildout': ['default = cmdrunner:Cmd', 'py = cmdrunner:Python'],
'zc.buildout.uninstall': ['default = cmdrunner:uninstallCmd']}
)
|
import sys
import os
import pandas as pd
indir = sys.argv[1] #"RA_EUR_rs_genes"
infiles = os.listdir(indir)
#chr11 45406048 rs7127704 T C -0.043478260869564835
for ff in infiles:
infile_ = os.path.join(indir, ff)
df = pd.read_table(infile_, header=None, dtype=str)
#df = pd.read_table(infile_,... |
# @author: jcpaniaguas
from Trainer import Trainer
from Tester import Tester
from SheetLocator import SheetLocator
import os
def find_sheets(photo_directory,number_of_training_photos,groundtruth,model_name,percentage=False):
"""Function that searches the corners of the testing folios with a given training database... |
import os
import sys
import math
import sha256
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(logging.StreamHandler(sys.stdout))
def _int_to_str(a: int) -> str:
return bin(a)[2:]
def _str_to_int(a: str) -> int:
return int(a, 2)
def powers_to_f(powers):... |
import sys
import csv
import pickle
freq_threshold=float(sys.argv[1])
test_volume=int(sys.argv[2])
entity_dict={}
f=open("/home/ubuntu/results/collectiveDict.pickle","rb")
entity_dict=pickle.load(f)
f.close()
total_hit_rate=0.0
total_error_rate=0.0
miss_count=0
invalid_count=0
for i in range(2000,2000+test_volume):... |
# Generated by Django 2.1.7 on 2019-03-20 22:44
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [("core", "0013_auto_20190320_2159")]
operations = [
migrations.AlterModelOptions(
name="examsheetevaluation", options={"ordering": ("-created",)}
... |
import argparse
def mock(args):
output = '{0} {1}'.format(args.name, args)
print(output)
def greet(args):
output = '{0}, {1}!'.format(args.greeting, args.name)
if args.caps:
output = output.upper()
print(output)
parser = argparse.ArgumentParser()
parser.add_argument('--version', action='v... |
#!/usr/bin/env python3
import datetime
# import logging
WEEKDAYS = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat']
timetable = {
"valid_from": "2018-08-01",
"valid_to": "2019-06-19",
'label': 'Klasse 4c',
"lessons":
{ "Mon": ["D", "D", "Sp", "Eng", "Eng", "SK"], # lessons on Monday
... |
from GUI.GUITable import Table
import pygame
import time
import constants as const
from GUI.GUI_Submit_Button import submit_button
from GUI.GUI_Header import header_box
class main_GUI:
###############################################################################
#This is where all of the Gui classes will be utilized... |
# coding=utf-8
# date: 2018-8-21,12:03:24
# name: smz
import numpy as np
"""
矩阵操作中三个点是表示取该轴所有元素,同：
"""
def demo():
matrix_a = np.array([[1, 2, 3], [4, 5, 6]])
print 'matrix_a[:]:\n', matrix_a[:]
print 'matrix_a[...]:\n', matrix_a[...]
print 'matrix_a[0][...]:\n', matrix_a[0][...]
matrix_b = np.... |
from typing import Optional, Set
from django.core.validators import RegexValidator
from django.db import models
from django.db.models.query import QuerySet
class Author(models.Model):
name = models.CharField(max_length=255, unique=True)
def __str__(self) -> str:
return self.name
class Tag(models.Model):
name... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from multiprocessing import Process
import os
def info(title):
print title
print 'module name:', __name__
print 'prarent process:', os.getppid()
print 'process id:', os.getpid()
def f(name):
print 'hello', name
if __name__=='__main__':
info('main line')
p=Process... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
#from scipy import stats
#from operator import itemgetter
from functools import reduce
from sklearn.linear_model import LinearRegression
class combine_models:
"""
This class is used to combine different cluster result... |
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.layers import BatchNormalization
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
import numpy as np
import matplotlib.... |
from transformers import BertTokenizer
from torch.utils.data import TensorDataset
import torch
from tqdm.notebook import tqdm
encoded_data_train = tokenizer.batch_encode_plus(
df[df.data_type=='train'].text.values,
add_special_tokens=True,
return_attention_mask=True,
pad_to_max_length=True,
max_l... |
import sys, csv
try:
header = sys.argv[1]
fasta = sys.argv[2]
except:
sys.stderr.write('script.py header/psl fasta\n')
sys.exit(1)
class FastAreader:
def __init__(self, fname=''):
self.fname = open(fname, 'r')
if not fname:
self.fname = sys.stdin
de... |
from PyObjCTools.TestSupport import TestCase
import HealthKit
class TestHKCategorySample(TestCase):
def test_constants(self):
self.assertIsInstance(HealthKit.HKPredicateKeyPathCategoryValue, str)
|
#
# 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 writing, software
# distr... |
__author__ = 'siavash'
# QSTK Imports
import QSTK.qstkutil.qsdateutil as dateUtil
import QSTK.qstkutil.DataAccess as dataAccess
# Third Party Imports
import datetime as dateTime
import pandas as pandas
import numpy as np
import copy
import QSTK.qstkstudy.EventProfiler as ep
print "Pandas Version", pandas.__version__... |
#! /usr/bin/env python3
# coding: utf-8
from covid19 import controller
"""
Run the app with uwsgi and nginx
"""
app = controller.app
if __name__ == "__main__":
app.run(host='0.0.0.0', debug=False, port=80)
|
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