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from django.contrib import admin
from django.urls import path
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', views.adminview, name='adminview'),
path('adminauth/', views.authenticateadmin, name='adminauth'),
path('admi... |
##Arthur A. Burkey III
##Python Drill: PyDrill_scripting_27_idle
##Title: Daily File Transfer scripting project - Python 2.7 - IDLE
##Scenario: Your company's users create or edit a collection of text files
##throughout the day. These text files represent data about customer
##orders.
##Once per day, any files that a... |
import re
import numpy as np
import pandas as pd
import pytest
from woodwork.datacolumn import DataColumn
from woodwork.exceptions import ColumnNameMismatchWarning, DuplicateTagsWarning
from woodwork.logical_types import (
Categorical,
CountryCode,
Datetime,
Double,
Integer,
NaturalLanguage,
... |
#!/usr/bin/env python3
from typing import Optional, Generator
from datetime import date, datetime
from collections import namedtuple
import re
import requests
AUTORENKALENDER_URL = "https://www.projekt-gutenberg.org/info/kalender/autoren.js"
AUTHOR_URL_BASE = "https://www.projekt-gutenberg.org/autoren/namen/"
CAMEL... |
#!/usr/bin/env python
# coding: utf-8
# # U-Netを用いたUAV画像セグメンテーションについて
# ①データの確認、探索
# ②データの前処理
# ③U-Netのモデルの定義、トレーニング
# ④U-Netモデルの性能評価の確認
# OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
# OMP: Hint This means that multiple copies of the OpenMP runtime have been link... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
import threading
import traceback
import sys
import time
__author__ = 'paoolo'
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i:i + n]
def decode(val):
bin_str = '0b'
for char in val:
val = ord(char) - 0x30
bin_str += '%06d' % int(bin(val)[2:])
return int(bin_str, ... |
from sqlalchemy import *
from migrate import *
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
user = Table('user', pre_meta,
Column('id', INTEGER, primary_key=True, nullable=False),
Column('fname', VARCHAR(length=128)),
Column('lname', VARCHAR(length=128)),
Column('n... |
import numpy as np
from scipy.special import binom
import time
from itertools import combinations_with_replacement as cwr, starmap
import matplotlib.pyplot as plt
from decimal import Decimal
""" Citation: https://gist.github.com/Juanlu001/7284462
"""
def bernstein(n, k):
coeff = binom(n, k)
def _bpoly(x):
... |
import sys
sys.path.append(r'../engine')
sys.path.append(r'../rule')
import re
import os
from flask import Flask, request
import app.settings as settings
from .scanner import *
# from web.upload import handle_upload
# from web.git import clone
from web.dashboard import (
home,
scan_result,
scans,
vie... |
"""
Copyright (c) 2017-2018 Intel Corporation
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 i... |
from django.views.generic import (
ListView,
CreateView,
DetailView,
UpdateView,
DeleteView
)
from django.urls import reverse, reverse_lazy
from django.db.models import Q
from django.utils.http import urlencode
from webapp.models import Product, Category
from webapp.forms import ProductForm, Search... |
import unittest
from LAB7 import *
class EncryptTestCase(unittest.TestCase):
# Tests for 'LAB7'
def test_recursive_triangle_1(self):
self.assertEqual(recursive_triangle(2,4), ' **\n *')
def test_recursive_triangle_5(self):
self.assertEqual(recursive_triangle(5,5), '*****\n ****\n ***... |
# implement caesar cipher
import cs50
import sys
if len(sys.argv) != 2:
print("Usage: python caesar.py k")
sys.exit(1)
else:
# prompt user for input
uin = cs50.get_string("plaintext: ")
# declare variables
k = int(sys.argv[1])
ascii = 0
caesar = 0
position = 0
out = ""
upp... |
"""Module for scanning system values"""
import shutil
import platform
from uuid import getnode as get_mac
import getpass
import socket
import time
import threading
from datetime import datetime
import psutil
from custom_logger import logger
class SystemValue:
"""Class for getting system values"""
def __init__... |
import hashlib
import time
from flask import Blueprint, render_template, redirect, url_for, flash, session, request
from flask_login import current_user, login_user, logout_user
from aat_main.forms.auth_forms import LoginForm
from aat_main.models.account_model import AccountModel
from aat_main.utils.pillow_helper imp... |
import os
import pytest
from azureml.core import Model
from azure_utils.configuration.notebook_config import project_configuration_file
from azure_utils.configuration.project_configuration import ProjectConfiguration
from azure_utils.machine_learning.contexts.realtime_score_context import (
RealtimeScoreAKSContex... |
#---------Archana Bahuguna 6th Jan 14 -------------------------
# To check how a functions arguments are passed when it is
# passed as an arg to another fn
#--------- Incomplete ------
def fn2call(n):
print 'From inside fn2call'
print n
n +=1
return None
def fn1(f):
print 'From inside fn1... |
# Robosample tools
import numpy as np
def func0(series):
result = np.zeros((series.size))
for i in range(series.size):
result[i] = (np.mean(series[:i]) / np.mean(series[i:]))
return result
#
def func1(series):
result = np.zeros((series.size))
for i in range(series.size):
result[i] = (np.mean(series[:i]) / np... |
import os
import sys
import gc
import numpy as np
import pandas as pd
from datetime import datetime
pd.options.display.max_columns = 1000
pd.options.display.max_rows = 1000
pd.options.mode.use_inf_as_na = True
pd.options.display.float_format = '{:.3f}'.format
float_formatter = lambda x: "%.4f" % x
np.set_printoptions(... |
from .duet_core import *
from .duet_envs import *
import pandas as pd
import numpy as np
def load(filename):
source = DataSource(filename)
senv = SensEnv({source: 1})
return DuetWrapper(np.load(filename), senv, LInf())
def zeros(x):
if isinstance(x, DuetWrapper):
y = unwrap(x)
r = np.z... |
# coding: utf-8
# # A simple tutorial to Stellar LAbel Machine (SLAM)
#
# **Bo Zhang** (<mailto:bozhang@nao.cas.cn>), Created on Thu Jan 19 15:48:12 2017
#
#
#
# In[2]:
import numpy as np
import matplotlib.pyplot as plt
import os
from slam.slam import Slam
from slam.diagnostic import compare_labels
from slam.ap... |
GCE_PARAMS = ('service_account_info', '/path/to/credentialfile')
GCE_KEYWORD_PARAMS = {'project' : 'project_name', 'datacenter' : 'asia-northease1-c'}
|
# Copyright 2015 Google Inc. All rights reserved.
#
# 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 a... |
"""
Binary CW example: Semicoherent MCMC search
==========================================================
MCMC search of a CW signal produced by a source in a binary
system using the semicoherent F-statistic.
"""
import os
import numpy as np
import pyfstat
# If False, sky priors are used
directed_search = True
# ... |
# -*- coding: utf-8 -*-
import time
import settings
from bson import ObjectId
from log import logger
from mongokit import Connection, IS
from ext import DynamicType, BaseModel
import datetime
from utils import get_year_month_day_str_ch
from utils import get_hour_minute_str
from utils import get_hour_minute_second_str... |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Channel
class UserRegisterForm(UserCreationForm):
email = forms.EmailField()
class Meta:
model = User
fields = ['username', 'email', 'password1']
... |
import threading as th
class PallThread(th.Thread):
stop_request = th.Event()
def run(self):
pass
def stop(self):
self.stop_request.set()
if self.is_alive:
self.join()
|
import pandas as pd
import networkx as nx
import numpy as np
import timeit
import argparse
from networkx import eccentricity
from networkx.algorithms import approximation as approx
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='magic features graph compute')
parser.add_argument('... |
from flask import Blueprint, render_template
from flask_login import current_user
import os
from app.forms import Print1
import datetime
test = Blueprint('test', __name__)
@test.route('/select_pay', methods=['GET', 'POST'])
def test_select():
form = Print1()
datetimes = datetime.datetime.now()
now = str(... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-10-03 04:08
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('postfeed', '0002_auto_20170905_2350'),
]
operations = [
migrations.AlterMod... |
# Generated by Django 3.0.3 on 2020-02-10 19:57
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('ghostpost', '0006_auto_20200210_1954'),
]
operations = [
migrations.RemoveField(
model_name='ghostpost',
name='submitDate',
... |
#pip install google-cloud-container google-api-python-client
from google.cloud import container_v1
from googleapiclient import discovery
client = container_v1.ClusterManagerClient()
service = discovery.build('compute', 'v1')
project_id = ''
ip=[]
#response = client.get_cluster(project_id,zone,cluster_name)
response ... |
from django.http import Http404
from api.models import TaskList, Task
from api.serializers import TaskListSerializer2, TaskSerializer2
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework.decorators import permis... |
class Solution:
def threeSumMulti(self, arr: List[int], target: int) -> int:
count = [0] * 101
for n in arr:
count[n] += 1
res = 0
if target % 3 == 0 and count[target//3] >= 3:
cnt = count[target//3]
res += cnt * (cnt-1) * (cnt-2) // 6
f... |
from django.db import models
from django.utils import timezone
from users.models import User
from django.shortcuts import get_object_or_404
# Create your models here.
ACCOUNT_TYPE_CHOICES = (
('BİRİKİM HESABI','BİRİKİM HESABI'),
('KREDİLİ MEVDUAT HESABI','KREDİLİ MEVDUAT HESABI'),
('NORMAL HESAP','NORMAL H... |
import psycopg2
from psycopg2 import Error
try:
# Connect to an existing database
connection = psycopg2.connect(user="postgres",
password="postgres",
host="127.0.0.1",
port="4000",
... |
import argparse
import os
from os.path import split,join,splitext
import xml.etree.ElementTree as ET
import re
import numpy as np
from shapely.geometry import Polygon
from debug_tool import paint_polygons
from matplotlib import pyplot as plt
def parse_point(s):
s.split(',')
_, p1, p2, _ = re.split(',|\\(|\\)... |
import tkinter
from datetime import *
from tkinter import *
from tkinter import messagebox
import random
from random import randint
from tkinter import ttk
window = Tk()
window.geometry = ("300x300")
window.title("Ithuba Lottery: Age Restriction")
#random_no = random.randint(range(1,49),6)
lottery = []
name_ = Entry(... |
import scramble.puzzle
import time
DUMMY_SCRAMBLE = scramble.puzzle.Scramble('000', '0', '', '')
class Game(object):
def __init__(self, gid, time_limit, users, puzzle_database):
self.gid = gid
self.time_limit = time_limit
self.solved = False
self.solved_count = 0
self.user... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import (
setup,
find_packages,
)
setup(
name='py-geth',
# *IMPORTANT*: Don't manually change the version here. Use the 'bumpversion' utility.
version='2.0.1',
description="""Run Go-Ethereum as a subprocess""",
long_description_m... |
import argparse
import math
import os
import subprocess
import sys
import tempfile
import srt
parser = argparse.ArgumentParser(
description="Turn a video into a picture book by taking screenshots with subtitles."
)
parser.add_argument("video", help="Input video")
parser.add_argument("out_dir", help="Output direc... |
#This object is used to represent the response data
#This data will usually be destined for a database
from colored import fg, bg, attr
class ResultObject:
#Initialize our result object
def __init__(self, respID, responseSize, statusCode, time, numHeaders,
numTokens):
self.rs = at... |
from fe_code.data_structures import geometry_data
from fe_code.data_structures import process_data
class systemData:
def __init__(self):
self.geometryData = geometry_data.geometryData()
self.processesData = process_data.processData()
self.displacements_calculated = False
self.SIMP_c... |
from lm.util import lm_tag_reader
from lm import lm_consts
import lm_tag_base
class CTag(lm_tag_base.CTag):
def __init__(self, ctx, tag):
super(CTag, self).__init__(ctx, tag)
d = self.parse_tag(ctx, tag)
self._data = []
for info in d["symbol_list"]:
self._data.append(info["symbol"] or "")
self._data ... |
import unittest
from linkedlist import LinkedList
from linkedlist import Node
23
class TestMethods(unittest.TestCase):
def test1(self):
'''
Test on empty list.
'''
l = LinkedList()
self.assertEqual(l.traverse(), [])
def test2(self):
'''
Test on non-empty... |
from django.conf.urls import url
# from django.core.urlresolvers import reverse_lazy
from .views import *
urlpatterns = [
url(r'^index/$', IndexView.as_view(), name="app_index"),
]
|
#在函数中定义函数,也就是嵌套函数
def hi(name='sixbo'):
print("now you are inside the hi() function")
def greet():
print("now you are inside the greet() function")
def welcome():
print("now you are inside the greet() function")
print(greet())
print(welcome())
print("now you are back in the hi... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage.filters import maximum_filter
from scipy.ndimage.morphology import generate_binary_structure, iterate_structure, binary_erosion
from scipy.signal import stft
from scipy.io import wavfile
from os.path import exists
DEFAULT_AMP_MIN = 10
PEAK_NEIGHBORH... |
# -*- coding: utf-8 -*-
# GMate - Plugin Based Programmer's Text Editor
# Copyright © 2008-2009 Alexandre da Silva
#
# This file is part of Gmate.
#
# See LICENTE.TXT for licence information
import gtk
import gnomevfs
from GMATE import files
from GMATE import i18n as i
def error(message):
"""Displays on error di... |
#!/usr/bin/python
# -*- coding:UTF-8 -*-
# Copyright (C) 2017 - All Rights Reserved
# 模块名称: szt_ceph_type.py
# 创建日期: 2017/8/25
# 代码编写: fanwen
# 功能说明:
class ItemType:
osd = 0;
host = 1;
diskcluster = 2;
root = - 3;
null = -1;
@staticmethod
def format():
ft = '''\
type 0 osd
ty... |
import cv2
import os
from basic_lib import Get_List
from PIL import Image
import numpy as np
# 剪切图片生成video 为openpose做准备
def img_process(img,loadsize):
try :
h, w ,_= img.shape
except:
print("hah")
result = np.zeros((loadsize,loadsize,3))
if h >= w:
w = int(w*loadsize/h)
... |
import pygame
import sys
import random
"""© reyan mehmood All right reserved"""
# general setup
pygame.init()
clock = pygame.time.Clock()
# Setting up the main window
ScreenWidth = 1200
ScreenHeight = 700
screen = pygame.display.set_mode((ScreenWidth, ScreenHeight))
pygame.display.set_caption('Pong')
# shapes
ball =... |
# Parses all files from WID and loads them into the DB
from django.core.management.base import BaseCommand, CommandError
import csv
from api.models import Indicator, Country, IndicatorType
class Command(BaseCommand):
help = 'Load pertinent data from WID (located in WID_DATA folder) into DB'
def handle(self, *... |
import os, sys
import shutil
from datetime import datetime
from chart_generate import topn_requests_donut, yearoveryear_reqeusts_volume, delete_directory
from data_fetch import data as dframe
from tweet_generate import api, tweet
## create directory to store program logs
if not os.path.exists('logs'):
os.mkdir('... |
# Generated by Django 2.2.8 on 2020-01-30 08:51
import autoslug.fields
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blogs', '0005_auto_20200130_1144'),
]
operations = [
migrations.AlterField(
model_name='post',
name='... |
import urllib
dataset='mnist.pkl.gz'
origin = 'http://www.iro.umontreal.ca/~lisa/deep/data/mnist/mnist.pkl.gz'
print 'Downloading data from %s' % origin
urllib.urlretrieve(origin, dataset)
|
class HangmanLetter:
def __init__(self, letter):
self.letter = letter
self.show = False
def display_letter_space(self) -> str:
if self.show:
return self.letter
else:
return '_'
def display_letter(self) -> str:
return self.letter
|
from packet import Packet
import threading
class PacketConstructor:
window_size = 10
data_type = 0
ack_type = 1
syn_ack_type = 2
syn_type = 3
"""
Packet represents a simulated UDP packet.
"""
def __init__(self):
self.next_seq_num = 0
self.received_packets = {}... |
"""
Functions for Exploratory Data Analysis
Script containing functions used for performing
exploratory data analysis on the cleaned headers.
"""
import numpy as np
import matplotlib.pyplot as plt
import operator
from wordcloud import WordCloud, STOPWORDS
import progressbar
import util
def analyze_basic(headers):
... |
from syntax_expr import Expr
#############################################################################
#
# Array Operators: It's not scalable to keep adding first-order operators
# at the syntactic level, so eventually we'll need some more extensible
# way to describe the type/shape/compilation semantics of a... |
import numpy as np
output = 'coordinates_v2.dat'
y1 = 25.6
y2 = 18.4
y3 = 11
data_file = '../interface_analysis/6layer_surface_data.txt'
data = np.loadtxt(data_file)
center_file = '6layer_thincenter_data.txt'
center_data = np.loadtxt(center_file)
center = data[7]
width = data[5]
x1 = center + (width/2)
x3 = x1
x2... |
import os
from pathlib import Path
import requests
def main():
filepath = "./images/pug.png"
# "./images/0-pug.png" -> "0-pug.png"
file_name = filepath.split("/")[-1:][0]
headers = {
"pinata_api_key": os.getenv("PINATA_API_KEY"),
"pinata_secret_api_key": os.getenv("PINATA_API_SECRET")
... |
from collections import deque
def solution(values,edges,quries):
arr = [ [] for _ in range(len(values)+1) ]
for i, e in enumerate(edges):
arr[e[0]-1].append(e[1]-1)
def firstQurie(root):
vis = [0]*(len(arr)+1)
q = deque()
q.append(root)
vis[root]=1
a... |
def get_plural(number, case1, case2, case5):
if 11 <= number % 100 <= 19:
return case5
if number % 10 == 1:
return case1
if 2 <= number % 10 <= 4:
return case2
return case5
|
#!/usr/bin/python
# -*- coding: utf8 -*-
from urllib.request import urlopen
from bs4 import BeautifulSoup
import bs4
import requests
from datetime import datetime
import datetime
import csv
import time
import re
import json
def save_to_file(data, filename):
text_file = open(filename, "w")
text_file.write(data... |
# from django.db import models
from djongo import models
class Point(models.Model):
_id = models.ObjectIdField(db_column='_id', primary_key=True)
points = models.CharField(
max_length=1000,
verbose_name=('Json of points'),
)
def __str__(self):
return self.points
|
# 1) Open Python shell in the same location like the script
# 2) >>> import prepare_jobs
# 3) >>> data = prepare_jobs.rewrite()
# 4) Access M by 'prepare_jobs.M'
import numpy as np
def rewrite():
f = open('shops.dat', 'r')
d = f.readlines()
cities = ['Z', 'D', 'B', 'N']
k = []
cnt ... |
import sys
import sqlite3
import logging
from datetime import datetime
from sales import load_sales_data
from catalog import load_catalog_by_item_id
def main():
if len(sys.argv) < 4:
print("Usage: {} <catalog-file.csv> <sales-file.csv> <output.db>".format(sys.argv[0]))
return 2
# TODO: check... |
from cvxpy import *
from cvxpy.tests.base_test import BaseTest
class TestSolvers(BaseTest):
""" Unit tests for solver specific behavior. """
def setUp(self):
self.a = Variable(name='a')
self.b = Variable(name='b')
self.c = Variable(name='c')
self.x = Variable(2, name='x')
... |
"""
Program for initial training of models
"""
from variables import MAX_TITLE_LENGHT, DIMENSIONS
from variables import WORD_VEC_MODEL
from variables import TITLE_MODEL_JSON, TITLE_MODEL_H5
from variables import TITLE_ARCH1, TITLE_ARCH2, TILE_PLOT
import logging
import time
import pandas as pd
from numpy import random... |
class Solution:
# @param nums, an integer[]
# @return an integer
def findPeakElement(self, nums):
startIdx = 0
endIdx = len(nums) - 1
mid = endIdx / 2
while startIdx < endIdx :
if (mid == startIdx or nums[mid-1] < nums[mid]) and (mid == endIdx or nums[mid... |
import urllib, json
import numpy as np
import mysql.connector
def compute_boundary_limit(metricsValArray,metric):
#print("inside function")
print "mean",np.mean(metricsValArray)
print "sd",np.std(metricsValArray)
lbound = np.mean(metricsValArray) - (2 * (np.std(metricsValArray)))
ubound = np.mean(metricsVal... |
#config file containing credentials for rds mysql instance
db_username = "awsuser"
db_password = "<redacted>"
db_name = "testdb"
db_endpoint = "<redacted>.amazonaws.com"
|
# -*- coding: utf-8 -*-
str1="Never say Never! Never say Impossible!"
str2="浪花有意千重雪，桃李無言一隊春。\n一壺酒，一竿綸，世上如儂有幾人?"
s1=str1.count("Never",15)
s2=str1.count("e",0,3)
s3=str2.count("一")
print("{}\n「Never」出現{}次,「e」出現{}次".format(str1,s1,s2))
print("\n{}\n「一」出現{}次".format(str2,s3)) |
import datetime
import pytz
from sklearn.base import BaseEstimator, TransformerMixin
class ActualsAdder(BaseEstimator, TransformerMixin):
def __init__(self, actuals_frame):
self.actuals_frame = actuals_frame
def fit(self, X, y=None):
return self
# Join actuals to a set of vehicle datapo... |
import csv
import argparse
import re
from urllib import request
url = 'http://s3.amazonaws.com/cuny-is211-spring2015/weblog.csv'
fileOpen = request.urlopen(url)
readFile = fileOpen.read()
decFile = readFile.decode('ascii').split('\n')
for line in decFile:
print(line)
x = re.findall("\.jpg|\.JPG", st... |
from django.db import models
# Create your models here.
class InsureType(models.Model):
name = models.CharField(max_length=20)
is_active = models.BooleanField(default=True)
create_date = models.DateTimeField(auto_now_add=True)
class Meta:
db_table = "insure_type"
def __str__(self):
... |
from model.cluster import Grid
from programs import Haplotyper
import Readers, logging, traceback
class AllelicDiversity():
"""The class AllelicDiversity includes all methods and variables needed for calculation of the allelic diversity.
"""
def __init__(self, pool,gffFile):
"""The ... |
import networkx as nx
def findTiers(G):
t1 = []
t2 = []
t3 = []
for u in G.nodes():
if G.out_degree(u) > 0 and G.in_degree == 0:
t1.append(u)
elif G.out_degree(u) > 0 and G.in_degree > 0:
t2.append(u)
else:
t3.append(u)
return t1,t2,t... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
#http://www.linux.org.ru/forum/development/1788460
#http://ps.readthedocs.io/ru/latest/strings.html
#http://stackoverflow.com/questions/41204234/python-pyqt5-qtreewidget-sub-item
#http://ru.stackoverflow.com/questions/511955/pyqt5-Контекстное-меню-только-на-элементах-qtreewidg... |
"""
biosignatures: elemental signature analysis of cyanobacteria
------------------------------------------------------------
"""
from distutils.core import setup
setup(name='biosignatures',
packages = ['biosignatures'],
package_dir = {'biosignatures':'.'},
package_data={'biosignatures': ['./*.py']... |
#!/usr/bin/env python
"""reads stdin, removes line breaks, replaces whitespace with one space, and pipes to pbcopy"""
import sys, re, os, optparse, commands
class UsageException(Exception): pass
def main():
parser = optparse.OptionParser(usage='stdin | %prog [options]')
(options, args) = parse_input(parser)... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import mysql.connector
class GuxinlangPipeline(object):
def process_item(self, item, spider):
db=mysql.connector.co... |
from sys import stdin
s = str(stdin.readline().strip())
result = []
while(s != '.'):
array = []
flag = 0
for i in range(len(s)):
if s[i] == '(' or ')' or '[' or ']':
if len(array) == 0 and s[i] == '(' or s[i] == '[':
array.append(s[i])
print(... |
#create a password
password= input("Create a password : ")
x = True
while x:
if (len(password)<8 or len(password)>16):
print("Password length between 6 and 12 please")
break
elif not re.search("[a-z]",password):
print("You need at least one lower case letter")
break
elif not re.search("... |
# https://leetcode.com/problems/sort-colors/
def sortColors(nums):
counter = [0] * 3
for i in nums:
counter[i] += 1
idx = 0
for color in range(3):
for _ in xrange(counter[color]):
nums[idx] = color
idx += 1
if __name__ == '__main__':
print sortColors([0, ... |
# Copyright 2015 Dimitri Racordon
#
# 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 writi... |
from mamba import description, it, before, context
from expects import expect, have_key, be_none
import securecscc
from securecscc import origins
from specs.support import fixtures
from specs.support.matchers import be_an_uuid
with description(origins.Falco) as self:
with before.each:
self.settings = se... |
from keras.utils.visualize_util import plot
from keras import backend as K
from keras.models import load_model
import numpy as np
import h5py, pickle, cv2
from os.path import abspath, dirname
from os import listdir
import scipy as sp
from datetime import datetime
from shutil import copyfile
from random import randint
f... |
from flask import Flask, request
from logging.handlers import RotatingFileHandler
from flask_restful import Api, Resource
import json,subprocess,logging,traceback
import pandas as pd
app = Flask(__name__)
api = Api(app)
#logging.basicConfig(filename='app.log', format="%(asctime)s:%(filename)s:%(message)s")
STATES_LI... |
N = int(input())
# 約数をリストで返す
def divisor(N):
i = 1
l = []
while i**2 <= N:
if N % i == 0:
l.append(i)
if i**2 != N:
l.append(N//i)
i += 1
return (sorted(l))
l = divisor(N)
res = N
for i in range(len(l)):
a, b = l[i], N//l[i]
res = min(a+... |
import os
import json
currentDirPath = os.path.dirname(__file__)
jsonFile = open(os.path.join(currentDirPath, 'source\UpperDarby.geojson'))
jsonString = jsonFile.read()
jsonParsed = json.loads(jsonString)
mappedRecords = []
for feature in jsonParsed["features"]:
sourceProperties = feature["properties"]
reco... |
def solution(citations):
citations.sort(reverse=True)
ans = 0
for idx, cite in enumerate(citations):
if (idx+1) <= cite:
ans = idx+1
return ans
print(solution([3, 0, 6, 1, 5]))
print(solution([7, 3, 3, 3, 3]))
print(solution([7, 3]))
|
import os
fName = 'Hello.txt'
fPath = 'Users/slims/Documents'
abPath = os.path.join(fPath, fName)
print(abPath)
|
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 16 17:10:14 2018
@author: OPHIR - Josh Clark
"""
import os
import pandas as pd
import xlwt
import xlrd
import re
import datetime
# 0. Set variables
#Set size of basket
sstkcount = 50
#Set borrow cost threshold
bct = 0.05
#Set total short weight
sw = -0.50
#Define Fundam... |
import json
from util_chat import send_prompt
from util_json import save_json_to_file
text = f"""
You should express what you want a model to do by \
providing instructions that are as clear and \
specific as you can possibly make them. \
This will guide the model towards the desired output, \
and reduce the chanc... |
import numpy as np
import math
import matplotlib.pyplot as plt
def findProducts(index,x,value):
pro = 1
for i in range(index):
pro = pro*(value-x[i])
return pro
def calculateTable(x,y,n):
for i in range(1,n):
for j in range(n-i):
y[j][i] = (y[j][i-1] - y[j+1][i-1])/(x[j] -... |
from django.core.management.base import NoArgsCommand, BaseCommand
from django.core.mail import send_mail, EmailMessage
from optparse import make_option
from texas.models import *
from datetime import datetime
import random
import string
import time
class Command(BaseCommand):
args = "<tier_id> <count>"
help =... |
""" utility functions"""
import re
import os
from os.path import basename
import subprocess
import gensim
import torch
from torch import nn
from evaluate import eval_rouge
from ConfManager import ConfManager
def count_data(path):
""" count number of data in the given path"""
matcher = re.compile(r'[0-9]+\.j... |
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