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# -*- coding: utf-8 -*- """Tracom models.""" import datetime as dt from soko.database import Column, Model, SurrogatePK, db, reference_col, relationship class Tracom(SurrogatePK, Model): __tablename__ = 'transporters' user_id = reference_col('users', nullable=True) user = relationship('User', backref='t...
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from flask import Flask, request, redirect, render_template from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) app.config['DEBUG'] = True app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://build-a-blog:build-a-blog@localhost:8889/build-a-blog' app.config['SQLALCHEMY_ECHO'] = True db = SQLAlchemy(app) ...
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"""Tests for the Abode light device.""" from homeassistant.components.abode import ATTR_DEVICE_ID from homeassistant.components.light import ( ATTR_BRIGHTNESS, ATTR_COLOR_TEMP, ATTR_RGB_COLOR, DOMAIN as LIGHT_DOMAIN, ) from homeassistant.const import ( ATTR_ENTITY_ID, ATTR_FRIENDLY_NAME, ATT...
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# encoding: utf-8 import sys from util.trie import Trie tag_file_path = '/home/t-yuniu/xiaoice/yuniu/dataset/processed/domain/sport/keywords' # Tag 黑名单 tag_black_dict = {} # tag_black_dict.setdefault('游戏', True) tag_trie = Trie() def detect_tag(sentence): """ Judge if sentence contain as least a tag. ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = "Daniel Romero" __date__ = "$3/12/2015 10:24:29 AM$" import base64 ##----------------------------------------------------------- class paramtunnel(): """ Clase realizada para generar por mediod e codificacion los parametros que el ap...
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# Installing psycopg2 on Mountain Lion (brew + pip) defaults write com.apple.versioner.python Prefer-32-Bit -bool no
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from pysimplesoap.client import SoapClient #import logging #logging.basicConfig(level=logging.DEBUG) #client = SoapClient(wsdl="https://www.HealthEquity.com/Partner/MemberBalanceWebService.asmx?WSDL",soap_ns = 'mem', action ='') # worked! client = SoapClient( wsdl="https://www.HealthEquity.com/Partner/MemberBala...
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#from __future__ import unicode_literals # coding: utf-8 from django.db import models # Create your models here. class Photo(models.Model): #id = '개별 사진을 구분하는 색인값' image_file = models.ImageField(upload_to='%Y/%m/%d') filtered_image_file = models.ImageField(upload_to='static_files/uploaded/%Y/%m/%d') d...
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from django.contrib import admin from .models import ContactModel # Register your models here. admin.site.register(ContactModel)
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#!c:\users\orhun\desktop\djangologin\orby\scripts\python.exe # When the django-admin.py deprecation ends, remove this script. import warnings from django.core import management try: from django.utils.deprecation import RemovedInDjango40Warning except ImportError: raise ImportError( 'django-admin.py wa...
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""" -------reade vectore file and find cosine similarity------- """ file=open('news1.txt.vec','r') outputFile=open('news1_sentence_cosine_value.txt','w') #lines_list=file_id.readlines() #print lines_list line_list=file.readlines() line_1=line_list[0].split(' ') row_count=int(line_1[0]) colum_count=int(line_1[1]...
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from django.test import TestCase, Client from django.contrib.auth.models import User from .models import Priority, Todo class TestTodoList(TestCase): def test_todo_list_login(self): client = Client() user = User.objects.create(username='aramis') user.set_password('agustin20') user...
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"""Constants of the Salus iT600 component.""" DOMAIN = "salus"
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# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: ags_py_codegen # pylint: disable=duplicate-code # pylint: disable=line-too-long # pylint:...
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#!/usr/bin/env python3 """Wrapper script for clang-tidy.""" ############################################################################# import re import sys from hooks.utils import ClangAnalyzerCmd class ClangTidyCmd(ClangAnalyzerCmd): """Class for the clang-tidy command.""" command = "clang-tidy" loo...
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# -*- coding: utf-8 -*- import re #import time from unicodedata import normalize from flask import Blueprint, render_template from flask import redirect, url_for, g from sqlalchemy import desc from fedora_college.core.database import db from fedora_college.modules.content.forms import * # noqa from fedora_college.core...
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import os import torch import torch.nn as nn import numpy as np import torch.nn.functional as F from .blocks import ( ZoneOutBiLSTM, LinearNorm, ConvBlock, ) from text.symbols import symbols device = torch.device("cuda" if torch.cuda.is_available() else "cpu") class TextEncoder(nn.Module): """ Text ...
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my_list = [1, 2, 3, 4, 5] for item in my_list: print(item, end=' ') # will print "1 2 3 4 5"
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#!/Users/Tuti/Documents/Virtualenv/ipython/bin/python2.7 # -*- coding: utf-8 -*- import re import sys from qtconsole.qtconsoleapp import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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""" Implement pow(x, n), which calculates x raised to the power n (i.e. xn). """ class Solution: def myPow( x: float, n: int) -> float: print(' Calcuating {} ^ {}'.format(x, n) ) if x==0: return 0 if n==0: return 1 if abs(x) == 1.0: return 1 ...
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############################################################################### # EvoMan FrameWork - V1.0 2016 # # DEMO : Neuroevolution - Genetic Algorithm neural network. # # Author: Karine Miras # # karine.smiras@...
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import argparse def opt(): parser = argparse.ArgumentParser(description='PyTorch AnimeFace') parser.add_argument('--path2db', type=str, default='data', help='path to database') # Train Validate settings parser.add_argument('--batch-size', type=int, default=256, ...
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# Import Flask and Nemo # This script can take a first argument giving a configuration from examples.py from flask import Flask from flask_nemo import Nemo from flask_caching import Cache from flask_nemo.chunker import level_grouper from capitains_nautilus.cts.resolver import NautilusCTSResolver from MyCapytain.resourc...
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############################################################################################################################################################################################################# ##################################################################################################################...
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"""empty message Revision ID: 6cf36da6705f Revises: 6561c4454534 Create Date: 2020-11-15 02:32:23.520188 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '6cf36da6705f' down_revision = '6561c4454534' branch_labels = None depends_on = None def upgrade(): # ...
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#python3 DataTraining.py --image "/Volumes/EXTERNAL/ClassifierImageSets/Origional_2.png" --fileName "Training" import cv2 import argparse import numpy as np import pandas as pd import wx ap = argparse.ArgumentParser() ap.add_argument("-1", "--Image", required=True, help="Image to be trained on") ap.add_argument("-2"...
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print("hello", "Bhawick") print("you are bug!") print("debug! AWAYAY!")
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from numba import jit import numpy as np from matplotlib import pyplot as plt # @jit def mcc(tp, tn, fp, fn): sup = tp * tn - fp * fn inf = (tp + fp) * (tp + fn) * (tn + fp) * (tn + fn) if inf==0: return 0 else: return sup / np.sqrt(inf) # @jit def eval_mcc(y_true, y_prob, show=Fal...
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def selection_sort(A): n = len(A) for i in range(n-1): position = i for j in range(i+1, n): if A[j] < A[position]: position = j temp = A[i] A[i] = A[position] A[position] = temp A = [3, 5, 8, 9, 6, 2] print('Original Array:',A) ...
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""" Django settings for change_admin project. Generated by 'django-admin startproject' using Django 2.1.7. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import ...
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import arcpy from arcpy import env from arcpy.sa import * import multiprocessing import os import glob import sys import time import logging from multiprocessing import Process, Queue, Pool, cpu_count, current_process, Manager import general as gen # arcpy.env.overwriteOutput = True arcpy.env.scratchWorkspace = "in_m...
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#!/usr/bin/env python import json import subprocess import sys BASE_PARAMS = { 'ansible_python_interpreter': '/usr/bin/python2.7', } out = subprocess.check_output(['docker-machine', 'ls']) dockers = {} machines = out.splitlines()[1:] for machine_info in machines: try: machine_info = machine_info.rep...
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#coding=utf-8 from numpy import * # 科学计算包numpy from os import listdir import operator #运算符模块 import matplotlib import matplotlib.pyplot as plt #from imp import reload #测试数据 def createDataSet(): group = array([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]]) labels = ['A','A','B','B'] return group,...
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""" WSGI config for CourserSite project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_S...
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from enum import Enum class KeyCode(Enum): Space = 32, Apostrophe = 39, Comma = 44, Minus = 45, Period = 46, Slash = 47, D0 = 48, # /* 0 */ D1 = 49, # /* 1 */ D2 = 50, # /* 2 */ D3 = 51, # /* 3 */ D4 = 52, # /* 4 */ D5 = 53, # /* 5 */ D6 = 54, # /* 6 */ ...
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import pandas as pd import scipy.stats as st import numpy as np import prepare_data def ttest(xbar, mu, N, s, tails=1): ''' One sample t-test from summary statistics. ''' t = (mu-xbar)*np.sqrt(float(N))/s if tails==1: if t>=0: p=1-st.t.cdf(x=t, df=N) else: p=1-st.t.cdf(x=-t, df=N) else: raise NotI...
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#!/usr/bin/env python """ socket client for ssh """ import socket client = socket.socket() client.connect(("localhost",9999)) while True: #支持客户端循环发送数据到服务端 cmd = input(">>:").strip() if len(cmd) == 0:continue client.send(cmd.encode()) #python3中必须把字符串转换为bytes类型,这里可以理解字符串类型是utf-8 cm...
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# Implement a group_by_owners function that: # # Accepts a dictionary containing the file owner name for each file name. # Returns a dictionary containing a list of file names for each owner name, in any order. # For example, for dictionary {'Input.txt': 'Randy', 'Code.py': 'Stan', 'Output.txt': 'Randy'} the group_by_o...
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from flask import render_template, redirect, session, request from app import app import psycopg2 @app.route('/', methods = ['GET']) @app.route('/Table_LE', methods = ['GET']) def Table(): data = [] try: conn = psycopg2.connect("dbname='uo_db2' user='alex_korentsvit' host='localhost' password='qwer...
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"""payments URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-base...
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import bluetooth class Car: def __init__(self, btAddress, RFIDid): self.btAddress = btAddress self.RFIDid = RFIDid self.btSocket = bluetooth.BluetoothSocket(bluetooth.RFCOMM) def connect(self): try: self.btSocket.connect((self.btAddress, 1)) except Exception...
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import json import requests import pandas as pd def lowercase_feature(df, col): return df[col].str.lower() def export_csv(path, df, deli): return df.to_csv(path, sep=deli, index=False) def extract_float(df, col, regex): return df[col].str.extract(regex).astype('float64') def enrich(df_cleaned): ...
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def recursive(n): result = [] if n == 0: return 0 if n == 1: return 1 else: result.append((recursive(n-1)+recursive(n-2))) return result def iterative(n): result = [] a, b = 0, 1 while b < n: result.append(b) a, b = b, a+b return result
[ "j.p.reinhardt@gmail.com" ]
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""" Django settings for social_network project. Generated by 'django-admin startproject' using Django 1.11.5. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ im...
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from argparse import ArgumentParser import pandas as pd from datetime import date from modules.response_processing import load_data, clean_data, add_weights, save_to_output from modules.clustering import kmodes_clustering, process, rules_segmentation from modules.salient_questions import SalientQuestions def preproc...
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lst = [] i = 0 while i < 5: player = input() lst.append(player) i += 1 print(lst)
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from cheshire3.baseObjects import Record from cheshire3.exceptions import C3Exception from cheshire3.utils import flattenTexts, elementType from cheshire3.marc_utils import MARC, MARC8_to_Unicode import unicodedata import types, utils, os, re, sys from cStringIO import StringIO from xml.sax.saxutils import escape fro...
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from django.utils import simplejson from django.http import HttpResponse, HttpResponseRedirect from django.core.urlresolvers import reverse, reverse_lazy from django.views.generic import TemplateView, ListView, CreateView, UpdateView, DetailView from django.db.models import Q from extra_views import CreateWithInlinesV...
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"""Routines for finding a game's icon""" from __future__ import (absolute_import, division, print_function, with_statement, unicode_literals) __author__ = "Stephan Sokolow (deitarion/SSokolow)" __license__ = "MIT" import os, re from .common import multiglob_compile # Files which should be he...
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#!/usr/bin/python # Copyright (c) 2014 Wladimir J. van der Laan # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. ''' Script to generate list of seed nodes for chainparams.cpp. This script expects two text files in the directory tha...
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class LengthOfLastWord(object): def lenghtOfLastWord(self, s): lastIndexOfSpace = s.rfind(' ') length_of_last_word = s[lastIndexOfSpace + 1:] print 'Length of the last word:',len(length_of_last_word) if __name__ == '__main__': input_str = 'test only please ignore' obj = LengthOfLast...
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# -*- coding:utf-8 -*- from datetime import date, datetime, time import json import uuid from sqlalchemy.ext.declarative import DeclarativeMeta from redis import WatchError from .extensions import xtredis from config import USERAUTHKEY # https://dormousehole.readthedocs.io/en/latest/patterns/apierrors.html class In...
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import math, random, pylab def levy_harmonic_path(k): x = [random.gauss(0.0, 1.0 / math.sqrt(2.0 * math.tanh(k * beta / 2.0)))] if k == 2: Ups1 = 2.0 / math.tanh(beta) Ups2 = 2.0 * x[0] / math.sinh(beta) x.append(random.gauss(Ups2 / Ups1, 1.0 / math.sqrt(Ups1))) return x[:] def rho...
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import numpy as np import matplotlib.pyplot as plt len=10 def mid(B,C): D=(B+C)/2 return D def normal(AB): return np.matmul(omat,np.matmul(AB,dvec)) def line_intersect(AD,CF): n1=normal(AD) n2=normal(CF) N=np.vstack((n1,n2)) p=np.zeros(2) p[0]=np.matmul(n1,AD[:,0]) p[1]=np.matmul(n2,CF[:,0]) return np.matmu...
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#!/Users/sangit/Downloads/django-react-boilerplate-master/idpsreact/bin/python3 # -*- coding: utf-8 -*- import re import sys from automat._visualize import tool if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(tool())
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ...
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class CacheDecorator(dict): # constructor def __init__(self, func_name): self.func_name = func_name # if the function is already cached, return the cached value def __call__(self, *args): return self[args] # if the result is not cached, return the function call and cache the result...
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#!/usr/bin/python # -*- coding: utf-8 -*- # # Author: Glaukon Ariston # Date: 26.09.2020 # Abstract: # Debugging harness for histogramSegmentation.fine_to_coarse_histogram_segmentation(H, e=0) # # (findpeaks in Python get different results than in MatLab) # print('idx = [%s];' % (' '.join(['%d' % (v+1,) for v in idxs...
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import requests import sys sys.path.append("/home/jylee/backend") import urllib import os from bs4 import BeautifulSoup import numpy as np import pandas as pd from helper import KafkaHelper def new_crawl(link, kafka=False): url = link item_info = requests.get(url).text soup = BeautifulSoup(item_info, 'html.pars...
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from __future__ import annotations from dataclasses import dataclass, field from travelport.models.type_element_status_1 import TypeElementStatus1 __NAMESPACE__ = "http://www.travelport.com/schema/common_v52_0" @dataclass class SpecialEquipment1: """ Parameters ---------- key type_value S...
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import os import unittest from project import app, db from project.config import basedir from project.models import User TEST_DB = 'test.db' class MainTests(unittest.TestCase): #Setup and Teardown def setUp(self): app.config['TESTING'] = True app.config['WTF_CSRF_ENABLED'] = False # app.config['DEBUG'] = F...
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import numpy as np import pandas as pd import sklearn from data_postp import similarity_computations from tensorflow.python.platform import flags FLAGS = flags.FLAGS def compute_mean_average_precision(df_base, df_query, n_closest_matches=5): """ This function computes the mean average precision (MAP) for a set of...
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# Ref: IEEE 1149.1 from bitarray import bitarray from ..support.bits import * __all__ = [ # DR "DR_IDCODE", ] DR_IDCODE = Bitfield("DR_IDCODE", 4, [ ("present", 1), ("mfg_id", 11), ("part_id", 16), ("version", 4), ])
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import random def fpowx(x, n): """ quick pow: x ** n """ res = 1 while n: if n & 1: res = res * x # compute x^2 x^4 x^8 x *= x n >>= 1 return res def fmulti(m, n, mod=10 ** 9 + 7): """ 并没有提速的效果 只是对于其他语言 如c 防止溢出 对 python 没有任何帮助 ...
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# -*- coding:utf-8 -*- import os import ass_base import ass_report import codecs from ass_module import AssModule from whoosh.highlight import Formatter,get_text from whoosh.index import create_in from whoosh.fields import * from whoosh.qparser import QueryParser from whoosh.index import open_dir from whoo...
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from django.contrib import admin from django.urls import path from django.conf.urls import include, url from django.views.generic import TemplateView urlpatterns = [ path('admin/', admin.site.urls), url(r'^$', TemplateView.as_view(template_name='index.html')), url(r'^shop/', include('shop.urls'), name='sho...
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import sys import re import logging from itertools import combinations from pathlib import Path ######################################################################################################################## # Basic Logging (nothing fancy) ######################################################################...
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awotg@Awots-MacBook-Pro.local
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import sys def fib(n): # Recursive # if n == 0: # return 0 # if n == 1: # return 1 # while n >= 0: # return fib(n - 1) + fib(n - 2) a, b = 0, 1 for _ in range(n): a, b = b, a + b return a if __name__ == '__main__': print(fib(int(sys.argv[1])))
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# This won't render right subtotal = 12.32 tax = subtotal * 0.07 total = subtotal + tax print(f"Sub: ${subtotal} Tax: ${tax} Total: ${total}") print(f"Sub: ${subtotal:0.2f} Tax: ${tax:0.2f} Total: ${total:0.2f}") orders = [("burger", 2, 5), ("fries", 3.5, 1), ("cola", 1.75, 3)] print("PRODUCT QUANTITY PRICE ...
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tuan193@gmail.com
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GDCenter/blog_django
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""" Django settings for dj_blog project. Generated by 'django-admin startproject' using Django 1.8.2. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ # Build path...
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mkansari31/Rest_API
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from flask import Flask, render_template, request from flask_mysqldb import MySQL app = Flask(__name__) app.config['MYSQL_HOST'] = 'localhost' app.config['MYSQL_USER'] = 'root' app.config['MYSQL_PASSWORD'] = '' app.config['MYSQL_DB'] = 'MyDB' app.config['DEBUG'] = True mysql = MySQL(app) @app.route('/', methods=['...
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/impl/CellObjectss.py
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[]
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karaposu/Labyrinth-Game
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from services.Cell import cell class PassiveGameObj(cell): def __init__(self, id, coordinates, designator): self.id = id self.coordinates = coordinates self.designator = designator def CoordinateUpdate(self, c): self.coordinates[0] = c[0] self.coordinate...
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astange/ExpoProject
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../redisDB.py
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square-brackets/avsp-2018
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import sys import time from itertools import combinations def count_items(bucket_count): # start_time = time.time() item_count = {} bucket_items = [] for bucket in range(bucket_count): bucket_items_line = sys.stdin.readline() bucket_items.append([]) for item in bucket_items_line...
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stjepan.petrusa@gmail.com
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xiaoruiguo/lab
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a=['1','2','3'] s = ['sss'*3]+a print s
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junmein@junmeinde-macbook-pro-3.local
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hazmat345/brew-view
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# -*- coding: utf-8 -*- import copy import json from datetime import datetime from mock import patch from bg_utils.models import Job, DateTrigger, RequestTemplate from . import TestHandlerBase class JobListAPITest(TestHandlerBase): def setUp(self): self.ts_epoch = 1451606400000 self.ts_dt = dat...
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loganasherjones@gmail.com
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Aasthaengg/IBMdataset
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s=int(input()) a=s//100 b=s%100 if a>0 and a<=12: if b>0 and b<=12: print("AMBIGUOUS") else: print("MMYY") else: if b>0 and b<=12: print("YYMM") else: print("NA")
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gemamoreira/web-personal-django3
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py
from django.shortcuts import render, HttpResponse html_base = """ <h1>Mi web Personal</h1> <ul> <li><a href="/">Portada</a></li> <li><a href="/about/">Acerca de...</a></li> <li><a href="/portfolio/">Portafolio</a></li> <li><a href="/contact/">Contacto</a></li> </ul> """ ...
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glmoremu20@gmail.com
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/matplotlib.py
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[]
no_license
divyajaincs/Python-Practice-
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refs/heads/master
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import numpy as np from matplotlib import pyplot as plt x=np.arange(0,3*np.pi,0.1) y=np.tan(x) plt.plot(x,y) plt.show()
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/xai/brain/wordbase/verbs/_celebrating.py
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cash2one/xai
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from xai.brain.wordbase.verbs._celebrate import _CELEBRATE #calss header class _CELEBRATING(_CELEBRATE, ): def __init__(self,): _CELEBRATE.__init__(self) self.name = "CELEBRATING" self.specie = 'verbs' self.basic = "celebrate" self.jsondata = {}
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[]
no_license
faunic/ideal-enigma
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table = { 'ATA':'I', 'ATC':'I', 'ATT':'I', 'ATG':'M', 'ACA':'T', 'ACC':'T', 'ACG':'T', 'ACT':'T', 'AAC':'N', 'AAT':'N', 'AAA':'K', 'AAG':'K', 'AGC':'S', 'AGT':'S', 'AGA':'R', 'AGG':'R', 'CTA':'L', 'CTC':'L', 'CTG':'L', 'CTT':'L', 'CCA':'P', 'CCC':'P', 'CCG':'P', 'CCT':'P', 'CAC':'H', 'CAT':'H', 'CAA':'Q', 'CAG':...
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