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from django.db import models # Create your models here. class Knowledge(models.Model): id = models.IntegerField(primary_key=True) problem = models.CharField(max_length=320) selA = models.CharField(max_length=40) selB = models.CharField(max_length=40) selC = models.CharField(max_length=40) selD = models.CharField...
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from django.urls import path from . import views urlpatterns = [ path('', views.home, name = 'SolsHome'), path('List', views.listview, name = 'SolsList'), path('GetTableMeta', views.tablemeta, name = 'tablemeta'), path('GetTableData', views.tabledata, name = 'tabledata'), path('CreateList', views....
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import os.path from data.base_dataset import BaseDataset from data.image_folder import make_dataset from PIL import Image import numpy as np import torch import torchvision.transforms as transforms import math # anisotropic diffusion def f(lam,b): return np.exp(-1* (np.power(lam,2))/(np.power(b,2))) ...
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import os import os.path import tempfile import subprocess import logging # This and check_output are shims to support features of Python 2.7 # on Python 2.6. # # This code was borrowed from PyPy 2.7. # bitbucket.org/pypy/pypy/src/9d88b4875d6e/lib-python/2.7/subprocess.py # # This can be removed when the CloudFou...
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import pytest from selenium import webdriver @pytest.fixture def driver(request): wd = webdriver.Chrome() wd.implicitly_wait(2) request.addfinalizer(wd.quit) return wd def test_country_alphabetical_order(driver): driver.get("http://localhost:8084/admin/?app=countries&doc=countries") driver.f...
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import re def isValidEmail(email): if len(email) > 7: if re.match("^.+@(\[?)[a-zA-Z0-9-.]+.([a-zA-Z]{2,3}|[0-9]{1,3})(]?)$", email) is not None: return True return False if isValidEmail("my.email@gmail.com"): print("This is a valid email address") else: print("This is not a vali...
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import copy import datetime from unittest.mock import Mock import freezegun import pytest from kopf.structs.status import ( is_started, is_sleeping, is_awakened, is_finished, get_start_time, get_awake_time, get_retry_count, set_start_time, set_awake_time, set_retry_time, st...
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import numpy as np x=np.array([12,34,56,78,99]) y=np.array([[1,2,3],[4,5,6],[7,8,9]]) print(f"Orginal array{x}") # access print(x[0],x[len(x)-1],x[-1],x[-2]) # Modify for i in range(len(x)): x[i]=x[i]*2 # delete first and last element x=np.delete(x,[0,4]) print(x) print(y) # delete first row (x axis) y=np.delete(y...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models # Create your models here. class ScorePrototype(models.Model): class Meta: abstract=True month = models.ForeignKey( 'Month', on_delete=models.CASCADE, blank=False, null=False...
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from ipywidgets.embed import embed_minimal_html from PIL import ImageFilter import gmaps gmaps.configure(api_key="AIzaSyCo99awBRG0JvRCoJC8M12-3EiAoLfElSM") fig = gmaps.figure() from PIL import Image im = Image.open("/Users/Aakash/36.070403, 68.629560, 68.673354.png") inputim=im.filter(ImageFilter.ModeFilter(8)) inputim...
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# Copyright (c) OpenMMLab. All rights reserved. import torch from mmcv.cnn import NonLocal2d from ..builder import HEADS from .fcn_head import FCNHead @HEADS.register_module() class NLHead(FCNHead): """Non-local Neural Networks. This head is the implementation of `NLNet <https://arxiv.org/a...
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# -*- coding: utf-8 -*- # MLC (Machine Learning Control): A genetic algorithm library to solve chaotic problems # Copyright (C) 2015-2017, Thomas Duriez (thomas.duriez@gmail.com) # Copyright (C) 2015, Adrian Durán (adrianmdu@gmail.com) # Copyright (C) 2015-2017, Ezequiel Torres Feyuk (ezequiel.torresfeyuk@gmail.com) # ...
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# populate couch instance with imetrical data # #import simplejson as json import json import urllib2 import datetime import couchdb __author__="daniel" __date__ ="$Oct 31, 2010 6:57:01 PM$" JSONURL = "http://cantor/iMetrical/getJSON.php"; COUCHDBNAME = "imetricaltest" couch = couchdb.Server() #couch = couchdb.Server...
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#Functions and Variables def cheese_and_crackers(cheese_count, boxes_of_crackers): print "You Have %d cheeses!" % cheese_count print "You have %d boxes of crackers!" % boxes_of_crackers print "Man that's not enough for party!" print "Get a blanket.\n" print "we can just give the function numbers directly:" cheese_...
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from rest_framework.views import exception_handler from .errors_formatter import ErrorsFormatter def errors_formatter_exception_handler(exc, context): response = exception_handler(exc, context) # If unexpected error occurs (server error, etc.) if response is None: return response formatter ...
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""" For this challenge, forget how to add two numbers together. The best explanation on what to do for this function is this meme: ![Alternative Text](https://edabit-challenges.s3.amazonaws.com/caf.jpg) ### Examples meme_sum(26, 39) ➞ 515 # 2+3 = 5, 6+9 = 15 # 26 + 39 = 515 meme_sum(122, 81) ...
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"""Forms for user application.""" from django.forms import ModelForm from django.contrib.auth import get_user_model, forms User = get_user_model() class SignupForm(ModelForm): """Sign up for user registration.""" class Meta: """Metadata for SignupForm class.""" model = get_user_model() ...
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from django import forms from django.contrib.auth.forms import UserCreationForm, AuthenticationForm from django.contrib.auth import password_validation from django.contrib.auth.models import User from django.utils.translation import gettext_lazy as _ from .models import Profile from django.contrib.auth.forms import Pas...
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# For Loop mylist = [1,2,3,4,5,6,7,8,9,10] for i in mylist: if (i % 2 == 0): print(i) x = 0 while x < 5: print(f'The Current value of x is {x}') x = x+1 else: print('X is not less than 5') # What is the 'continue' statement ? # Goes to the top of the closest enclosing loop mystring = 'Deoda...
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#!/usr/bin/env python import tf import numpy as np import rospy from geometry_msgs.msg import Pose import ipdb from birl_baxter_vision import get_pose pose_sum = [] listener = None def cb(req): global listener marker_pose = [] if req.flag is True: global pose_sum rospy.loginfo("get ...
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# coding: utf-8 # In[1]: from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import numpy as np import keras from keras import backend import tensorflow as tf from tensorflow.python.platform import flags from cleverha...
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from django.shortcuts import render from django.core.cache import cache from django.core.paginator import Paginator from django.core.paginator import EmptyPage from django.core.paginator import PageNotAnInteger from django.views.decorators.csrf import csrf_exempt from django.contrib.auth.decorators import login_require...
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# -*- coding: utf-8 -*- """ imghdr_test.py Created on Sat Apr 20 11:19:17 2019 @author: madhu """ import imghdr file_name = 'oreilly.png' print('File', file_name,'is a:', imghdr.what(file_name))
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import re import os to_regex_obj = re.compile(r"^X-To:.*", flags=re.UNICODE) cc_regex_obj = re.compile(r"^X-cc:.*", flags=re.UNICODE) bcc_regex_obj = re.compile(r"^X-bcc:.*", flags=re.UNICODE) body_regex_obj = re.compile(r"^X-FileName:.*", flags=re.UNICODE) from_regex_obj = re.compile(r"^X-From:.*", flags=re.UNICODE) ...
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from LaplaceWSAPIClient import * from MarkowitzSerde import * from TargetSerde import * from Operators import * from TargetOperators import * from RLStructure import * from ClientConfig import client_config query = RLQuery("default", datetime(2021,1,1), datetime(2021,1,21), { "BankAccount": 100000.0, ...
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# encoding: utf-8 """ @version: v1.0 @author: pu_yongjun @license: Apache Licence """
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from argparse import ArgumentParser import LessonsClustering import sys sys.path.append("pipeline/functions/DataFunctions") sys.path.append("../DataFunctions") from utils import * if __name__ == "__main__": tracking_uri = get_tracking_uri() # Arguments parser = ArgumentParser() parser.add_argument("--mod...
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def high_low(txt): lst = [int(char) for char in txt.split(" ")] return str(max(lst)) + " " + str(min(lst))
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'shcloud.settings') try: from django.core.management import execute_from_command_line except Impo...
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#!/usr/bin/env python """ test.py by Amelie Anglade and Thierry Bertin-Mahieux amelie.anglade@gmail.com & tb2332@columbia.edu Testing code for the pyMusixMatch wrapper. Can serve as a demo. (c) 2011, A. Anglade and T. Bertin-Mahieux This program is free software: you can redistribute it and/or modify it und...
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# contents = ['运营数据统计分析系统','单一模型指标分析'] contents = ['RAMS运营数据分析','单一模型指标分析']
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import random print("Rock Paper Scissors Game\n") items = ["Rock", "Paper", "Scissors"] print("Enter r: Rock") print("Enter p: Paper") print("Enter s: Scissors") print("Enter q: Quit") user_points = 0 comp_points = 0 count = 0 while True: count += 1 user = input("\nIteration " + str(coun...
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import pandas as pd import matplotlib.pyplot as plt cars = pd.read_csv('cars-py.csv', sep=',') colors = {'bmw': 'red', 'ford':'green','honda':'brown','mercedes':'blue','toyota':'purple'} fig, ax = plt.subplots() plt.xticks([2000,3000,4000,5000],['2000','3000','4000','5000']) plt.yticks([10,20,30,40],['10','20','30','...
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import os import fileinput import datetime class BankAccount(object): """ ACME Bank """ def __init__(self): try: open('users.txt','x') except : pass if not os.path.exists('transactions'): os.makedirs('transactions') def accountExists(self...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import matplotlib.pyplot as plt import tensorflow as tf from collections import namedtuple import sys import os from MDNClass import MDN from DataLoader import DataLoader from g...
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import json import base64 from threading import Thread from multiprocessing import Process import time from wxpy import * from databases import models from . import plugs_manager import re import requests from multiprocessing import Pipe import os import threading from helper.channels_manager import cm from .plugs_m...
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# -*- coding: utf-8 -*- #### Version includes network viz and links to text and pdf originals from flask import Flask from flask import render_template from flask import request import os import json #import time #import urllib2 import solr #### Configuring this app and its associated servers search_host = 'http://loc...
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from flask import Flask, render_template, request, url_for, redirect, session import pymongo import bcrypt #set app as a Flask instance app = Flask(__name__) #encryption relies on secret keys so they could be run app.secret_key = "testing" #connoct to your Mongo DB database # client = pymongo.MongoClient("mongodb+srv:...
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from flaskr import app app.run(host='0.0.0.0')
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from series_tiempo_ar_api.libs.indexing.constants import \ VALUE, CHANGE, PCT_CHANGE, CHANGE_YEAR_AGO, PCT_CHANGE_YEAR_AGO SERIES_QUERY_INDEX_NAME = 'query' REP_MODES = [ VALUE, CHANGE, PCT_CHANGE, CHANGE_YEAR_AGO, PCT_CHANGE_YEAR_AGO, ] AGG_DEFAULT = 'avg' AGG_SUM = 'sum' AGG_END_OF_PERIOD...
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josvinjohn/Linear-Regression-Simulator
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import matplotlib.pyplot as plt import numpy as np import pandas as pd import matplotlib.animation as animation dataset = pd.read_csv('dataset.txt',sep='\t',header=None) dataset.columns = ["X","y"] print(dataset.iloc[:, 0].values) print(dataset.iloc[:,1].values) x = dataset.iloc[:, 0].values y = dataset.iloc...
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from __future__ import print_function import mxnet as mx import numpy as np from mxnet import nd, autograd, gluon ctx = mx.gpu() mx.random.seed(1) batch_size = 64 num_inputs = 784 num_outputs = 10 def transform(data, label): return nd.transpose(data.astype(np.float32), (2, 0, 1)) / 255, label.astype(np.float32) ...
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def ciao(): print('Hello!!!!') ciao()
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import os import general.ui.pySideHelper as uiH reload( uiH ) from Qt import QtGui,QtCore #load UI FILE PYFILEDIR = os.path.dirname( os.path.abspath( __file__ ) ) uifile = PYFILEDIR + '/setupOcc.ui' fom, base = uiH.loadUiType( uifile ) import general.mayaNode.mayaNode as mn import maya.cmds as mc class SetupOccU...
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"""This package contains the functional component of the kivy app which covers event functions, initializations and periodic updates of visualization and view via clocking mechanism. """
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"""passlib.registry - registry for password hash handlers""" #============================================================================= # imports #============================================================================= # core import re import logging; log = logging.getLogger(__name__) from warnings import war...
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#!c:\users\dev3\pycharmprojects\sheets\venv\scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'future==0.18.2','console_scripts','futurize' __requires__ = 'future==0.18.2' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', s...
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import numpy as np B = np.array([[1, 2], [3, 4], [5, 6]]) B np.ndim(B) # 2 B.shape # (3,2) 3x2 행렬 A = np.array([[1,2,3], [4,5,6]]) B = np.array([[1,2], [3,4], [5,6]]) np.dot(A, B)
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from dominate.tags import a, button, div, form, input_, li, nav, span, ul from flask import url_for from flask_login import current_user from flask_nav.elements import Navbar as Navbar_, NavigationItem, Subgroup, View from flask_nav.renderers import Renderer from flask_wtf.csrf import generate_csrf class Input(Na...
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""" Aufgabe 2 Hessmann, Niehues, Pedersen Demonstrates the Towers of Hanoi using a recursive algorithm. Similar to solution: http://www.python-kurs.eu/tuerme_von_hanoi.php """ def hanoi(n, source, helper, target, rekursionstiefe = 0): if n > 0: # move tower of size n - 1 to helper: hanoi(n - 1, s...
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import logging import os import sys import unittest import chirp class ChirpTests(unittest.TestCase): def setUp(self): self.api = chirp.TwitterAPI() def test_attr_access(self): new_api = self.api.a.b.c.d.e.f self.assertEqual(len(new_api.paths), 6) def test_call_access(self): ...
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"""empty message Revision ID: b80821e6bdb4 Revises: Create Date: 2021-06-16 20:29:08.531109 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'b80821e6bdb4' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto gene...
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class HashTableEntry: """ Hash Table entry, as a linked list node. """ def __init__(self, key, value): self.key = key self.value = value self.next = None class HashTable: """ A hash table that with `capacity` buckets that accepts string keys Implement t...
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def fizz_buzz(n: int) -> str: """ Returns a different string depending on the divisiblity of `n` 3: fizz 5: buzz 3 & 5: fizz buzz :param n: A positive integer `n` :return: A string """ if (n % 3 == 0) and (n % 5 == 0): return "fizz buzz" elif n % 5 == 0: return "b...
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import csv #final desired format # - Charts [["Test Name",<diff from avg>]] # - spreadsheet [["Test Name",<current run time>]] timing_data = [] with open('TestTimingData.csv') as csv_file: file_reader = csv.reader(csv_file) for row in file_reader: timing_data.append(row) column_chart_data =...
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import create_chars from utils import utils from constant import constants create_chars.createChars() utils.open("file://" + constants.PATH_CHARS)
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#!/usr/local/bin/ python3 # -*- coding:utf-8 -*- # __author__ = "zenmeder" from django.shortcuts import render from django.http import HttpRequest, JsonResponse from JKDatabaseSystem.TimeSeriesData import TimeSeriesData from fbprophet import Prophet import datetime import pandas as pd TEST_DATA = {0: {'2014-03-07 12...
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from flask import ( request, redirect, url_for, Blueprint, ) from utils import response import status from models.reply import Reply from routes.helper import current_user, login_required, csrf_required, new_csrf_token main = Blueprint('reply', __name__) @main.route('/new', methods=['POST']) @login_r...
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from globus_sdk._testing import load_response def test_endpoint_manager_task_successful_transfers(client): meta = load_response(client.endpoint_manager_task_successful_transfers).metadata response = client.endpoint_manager_task_successful_transfers(meta["task_id"]) assert response.http_status == 200 ...
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def threeConsecutiveOdds(arr): return any([False if i < 2 else arr[i-2] & arr[i-1] & arr[i] & 1 for i in range(len(arr))])
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# Definition for a binary tree node. # -*- coding: utf-8 -*- # @Time : 2018/11/11 14:55 # @Author : zz # @Project : workspace2 # @FileName: leetcode2.py # 著作权归作者所有(随便拷)。 ''' .-~~~~~~~~~-._ _.-~~~~~~~~~-. __.' ~. .~ `.__ .'// ...
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from typing import Tuple import torch import torch.nn as nn from cellseg_models_pytorch.modules import Conv, Norm __all__ = ["SumBlock"] class SumBlock(nn.ModuleDict): def __init__( self, in_channels: int, skip_channels: Tuple[int, ...], convolution: str = "conv", normal...
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import heapq def highestProd(li): h1, h2 = [], [] for i, l in enumerate(li): if l < 0: if len(h2) < 2: heapq.heappush(h2, abs(l)) elif h2[0] < abs(l): heapq.heappop(h2) heapq.heappush(h2, abs(l)) if len(h1) < 3: ...
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class Solution(object): def strStr(self, haystack, needle): """ :type haystack: str :type needle: str :rtype: int """ if not haystack and not needle: return 0 for i in range(len(haystack) - len(needle) + 1): match = True for...
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import math class Utility: """Class of useful utility functions""" def __init__(self): return @staticmethod def euc(a, b): """Calculate Euclidean distance between two vectors Parameters `a` and `b` should be of identical dimension. :param a: First input vector ...
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class CorrelationAnalytics: def __init__(self, data_list, cols, pr, p_value, features, year): self.data_list = data_list self.cols = cols self.pr = pr self.p_value = p_value self.features = features self.year = year
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from django.urls import path from . import views urlpatterns = [ # 查询省份地址: http://www.meiduo.site:8000/areas/ path('areas/', views.ProvinceAreasView.as_view()), # 查询父级下属地址: http://www.meiduo.site:8000/areas/(?P<pk>[1-9]\d+)/ path('areas/<int:parentid>/', views.SubsAreasView.as_view()), ]
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from django.db import models # Create your models here. class category(models.Model): name = models.CharField(max_length=50) def __str__(self): return self.name class Book(models.Model): status_book = [ ('availble','availble'), ('rental','rental'), ('sold','sold'), ]...
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import torch.nn.functional as F activations = { "id": (lambda x: x), "relu": F.relu_, "hardtanh": F.hardtanh_, "relu6": (lambda x:F.relu6_(x,inplace=True)), "elu": F.elu_, "selu": (lambda x:F.selu(x,inplace=True)), "celu": (lambda x:F.celu(x,inplace=True)), "leaky_relu": F.leaky_relu_, ...
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#!/usr/bin/env python import rospy from std_msgs.msg import Float64MultiArray def callback(msg): print 'Incoming message: ', msg.data def listener(): rospy.init_node('listener', anonymous=True) sub = rospy.Subscriber("chatter", Float64MultiArray, callback) rospy.spin() if __name__ == '__main__':...
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from PIL import Image # pic_Im=Image.open("校园.jpg") # pic_Im.show() # 生成新的125*125的黑色图片 # newIm=Image.new('RGB',(125,125)) # newIm.show() # newIm2=Image.new('RGB',(125,125),"red") # newIm2=Image.new('RGB',(125,125),(255, 255, 0)) # newIm2.show() # from PIL import Image # im = Image.open("校园.jpg") # print(im.format) ##...
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from .tools import getNested from trading import Chart import math import copy import time class CandleIterator: _section = None _startIndex = 0 _endIndex = -1 _index = 0 _offsets = None _factors = None def __init__(self, section): self._section = section self._startIndex = getNested(sect...
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from settings_inspector.parser import Setting from django.core.management.base import NoArgsCommand class Command(NoArgsCommand): def handle(self, *args, **options): root_setting = Setting('django.conf') import ipdb; ipdb.set_trace()
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self.dev_types =['fgota']*2 + ['ota_buf']*1 + ['ota']*1 + ['ota_vmm']*1 + ['cap']*4+ ['nfet']*2 + ['pfet']*2 + ['tgate']*4 + ['nmirror_vmm']*2+['ladder_blk']*1+ ['c4_blk']*1+ ['speech']*1+ ['INFneuron']*1+ ['lpf']*1+['nfet_i2v']*1+['pfet_i2v']*1+['nmirror_w_bias']*1+['fgswc_nmirror_w_bias']*1+['i2v_pfet_gatefgota']*1+...
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from rest_framework import serializers from machine.models import Machine, Sensor, TimeSeries class MachineSerializer(serializers.ModelSerializer): class Meta: model=Machine fields="__all__" class SensorSerializer(serializers.ModelSerializer): class Meta: model=Sensor field...
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"""portfolio URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/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-bas...
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import numpy as n import Queue as q import numpy as np class Subset: numero = None pai = None rank = 0
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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 may ...
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def starHalfTriangle(): """A program that prints half star triangle""" no_of_stars = 0 for stars in range(1,13): no_of_stars+=1 print(no_of_stars * '*') def customStarFormat(): """A program that reads a number (between 1 and 30) and print a line containing that number of adjacent asterisks using for loop...
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# Sahaj Amatya, 1001661825 import sys # listifyLines() returns the file line as a list def listifyLines(line): arr = line.split(" ") while("" in arr): arr.remove("") arr[len(arr) - 1] = arr[len(arr) - 1].replace('\n', '') return arr # getFileData() returns the file data as a 2D list def ge...
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def imprimirMatriz(matriz): filas = len(matriz) columnas = len(matriz[0]) for f in range(filas): for c in range(columnas): print("%3d" %matriz[f][c], end="") print() def rellenarMatriz(matriz): filas = len(matriz) columnas = len(matriz[0]) n = 1 for f...
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import sys, os import azure_chestxray_utils import azure_chestxray_keras_utils from keras.models import load_model import os import pickle import cv2 import numpy as np import pandas as pd from keras.models import load_model from keras.utils import Sequence from sklearn import metrics from tensorflow.python.client impo...
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# multiAgents.py # -------------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.e...
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from __future__ import unicode_literals import re import socket import time from netmiko.cisco_base_connection import CiscoSSHConnection from netmiko.ssh_exception import NetMikoTimeoutException class LinuxSSH(CiscoSSHConnection): def session_preparation(self): """Prepare the session after the connecti...
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# accounts/views.py from django.urls import reverse_lazy from django.views import generic from .forms import CustomUserCreationForm class SignupPageView(generic.CreateView): form_class = CustomUserCreationForm success_url = reverse_lazy('login') template_name = 'registration/signup.html'
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#!/usr/bin/env python # -*- coding: utf-8 -*- # -------------------------------------------------------- # Licensed under The MIT License [see LICENSE for details] # Written by Chao CHEN (chaochancs@gmail.com) # Created On: 2017-08-11 # -------------------------------------------------------- import torch import torch....
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# coding=utf-8 """Experiments with Morgan fingerprints and logistic regression (sklearn and vowpal wabbit).""" from __future__ import print_function, division from collections import OrderedDict from copy import copy import hashlib from itertools import product import os.path as op import json from time import time im...
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first_name = "bob" last_name = "johnson" whole_name = first_name.title() + " " + last_name.title() famous_first_name = "groucho" famous_last_name = "marx" famous_whole_name = famous_first_name.title() + " " + famous_last_name.title() print(f"This is practice with names!") print(first_name.title() + " " + last_name.tit...
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# -*- coding: utf-8 -*- { 'name': 'Google Docs Integration', 'category': 'Extra Tools', 'summary': 'Spreadsheet, Document, Presentation', 'description': 'Google Docs Integration: This Module lets you to develop,'\ 'read and modify Spreadsheet, Document, Presentation', 'author': 'Muhammad Awais', 'depends':['base...
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# fruits = ['orange', 'apple', 'pear', 'banana', 'kiwi', 'apple', 'banana'] # print(fruits.count("apple")) # a = fruits.index("banana",4) # print(a) # fruits.reverse() # print(fruits) # fruits.append("daka") # print(fruits) # print(fruits.sort) # a = fruits.pop(0) # print(a) # print(fruits) # number = [1,2,45,3...
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class Rectangle: def __init__(self, width, height): self.width = width self.height = height def __repr__(self): return ('Rectangle(width=%d, height=%d)' % (self.width, self.height)) def set_width(self, val): self.width = val def set_height(self, val): self.height = val def get_area(se...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup with open('README.rst') as readme_file: readme = readme_file.read() requirements = [ 'marvinbot' # TODO: put package requirements here ] test_requirements = [ # TODO: put package test requirements here ] setup( name='gra...
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# Implement the function unique_in_order which takes as argument a sequence and returns a list of items without any elements with the same value next to each other and preserving the original order of elements. # For example: # unique_in_order('AAAABBBCCDAABBB') == ['A', 'B', 'C', 'D', 'A', 'B'] # unique_in_order('AB...
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#!/usr/bin/env python from __future__ import division import re import numpy as np import pandas as pd from scipy.sparse import vstack, csr_matrix from sklearn import metrics from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer from sklearn.preprocessing import LabelEncoder from sklearn.feature...
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# Paths with Sum: You are given a binary tree in which each node contains an # integer value (which might be positive or negative). Design an algorithm to # count the number of paths that sum to a given value. The path does not need to # start or end at the root or leaf, but it must go downwards (traveling only # from ...
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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "clang": 0, "gcc_version": 42, "host_arch": "x64", "node_install_npm": ...
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import pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import os import smtplib import random import time import requests engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[1].id) def speak(audio): # ...
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import Read_Data import Pre_Processing import SVM_Classification from sklearn.model_selection import train_test_split def check_for_new_test(classifier): while 1: new_str = str(input('Give a sample input string to Test:')) if new_str == '\n': break tokenized_input = Pre_Proce...
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # 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...
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