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# Name: Alan Danque # Date: 20200119 # Course: DSC 540 # Desc: Week 7 Exercise - Exploring Table Functions # Pages 225 - 228 import xlrd from xlrd.sheet import ctype_text import agate # Function to return a list of cleaned data types from a passed in list def getTypes(passedlist): types = [] for v in passe...
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# data matakuliah matakuliah = ["web","jarkom","struktur data","basis data I", "basis data II","microcontroler","microprocessor","Pengantar Pemrograman", "Pemrograman Terstruktur","APL","SPK","matematika dasar", "statistika", "robotika", "algoritma"] banyak_mk = len(matakuliah)...
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from DAO.Activitie import Activitie import _Repository def main(args): inputFile = open(args) fill_activities(inputFile) print("bye") def fill_activities(inputFile): for line in inputFile: arg = line[:].split(", ") a = Activitie(*arg) repo.activities.insert(a) prod...
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# -*- coding: utf-8 -*- from PyQt5 import QtCore, QtGui, QtWidgets class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(998, 717) MainWindow.setLayoutDirection(QtCore.Qt.LeftToRight) self.centralwidget = QtWidgets.QW...
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from sqlalchemy import Column, Integer, String, ForeignKey from .base import BaseModel class Images(BaseModel): __tablename__ = 'images' id = Column(Integer, ForeignKey('news.image_id'), primary_key=True) path = Column(String) def __init__(self, path): self.path = path
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# Databricks notebook source # MAGIC %md # MAGIC ## Distributed hyperparameter tuning with Hyperopt + SparkTrials # MAGIC # MAGIC - Dataset: [Credit Card Fraud Detection, Worldline & Machine Learning Group of ULB](http://mlg.ulb.ac.be/) # MAGIC - Anonymized credit card transactions labeled as fraudulent or genuine #...
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#!/usr/bin/env python # Agent-Based Simulation - Diffusion & Adoption of Personal Fabricators - PROTOTYPE # Original Author: Wyman Zhao # Contributor(s): Philipp Ross """ This file contains all of the file input/output functions used within validate.py and simulation.py. Currently it can only read and write data in J...
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import json from os import listdir from os.path import isfile, join # from tkinter import filedialog from pycfg_ex import generate_cfg from test import compare from collapse_test import collapse from blackbox import blackbox import xlsxwriter class Result: def __init__(self, filename, examplefile, results): ...
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from serpent.game_agent import GameAgent class SerpentGameAgent(GameAgent): def __init__(self, **kwargs): super().__init__(**kwargs) self.frame_handlers["PLAY"] = self.handle_play self.frame_handler_setups["PLAY"] = self.setup_play def setup_play(self): pass def handle...
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from flask import Blueprint, render_template, request, session, redirect, url_for from src.models.users.users import User user_blueprint = Blueprint('users', __name__) @user_blueprint.route('/login', methods=['GET', 'POST']) def login_users(): if request.method == 'POST': email = request.form['email'] ...
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# coding: utf8 minifiedName = "minified" list = ["Color.pde","Afficheur.pde","Debugger.pde","Theme.pde","Mode.pde","CanvasButton.pde","Jeu.pde","CatalogueJeux.pde","ModeJeu.pde","Plateformer1.pde","SampleGame.pde","gb.pde"] f = open(minifiedName,"w", encoding='utf-8') chaine = "" for fn in list: fi = open(f...
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def longestCommonPrefix(strs): prefix = '' try: j = 0 while True: nextAlphabet = strs[0][j] for i in range(1, len(strs)): if strs[i][j] != nextAlphabet: return prefix else: prefix += nextAlphabet ...
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from flask_sqlalchemy import SQLAlchemy def create_new_users_sign_in(session: SQLAlchemy().session, device_type: str, device_type_id: str): """ Функция для создании новой таблицы в PARTITION content.users_sign_in :param session: сессия подключения к бд :param device_type: тип устройства :param dev...
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#!/usr/bin/env python3 # # Copyright 2021 Graviti. Licensed under MIT License. # # pylint: disable=wrong-import-position # pylint: disable=wrong-import-order # pylint: disable=not-callable # pylint: disable=ungrouped-imports # pylint: disable=import-error # pylint: disable=pointless-string-statement """This file incl...
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#!/usr/bin/python import sys __author__ = 'Thomas' mir_target = {} # key: miRNA name; value: target list; literal_file = sys.argv[1] predict_file = sys.argv[2] with open(predict_file, 'r') as f: for line in f: line = line.rstrip('\n') elements = line.split() mir = elements[0] ta...
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from __future__ import division from neuro import * import numpy as np import scipy as scp import matplotlib as mp import matplotlib.pyplot as plt plt.switch_backend('QT4Agg') # EXPERIMENTAL NETWORK CONNECTIVITY # # Integrate-and-fre neurons {0,1} # # 0 1 # ^ ^ # |\1-g/| # | \ /...
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values = [0, 1, 2] values[1] = values print(values)
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from django.shortcuts import render # Create your views here. def menuPage(request): return render(request,'html/base/menu.html') def dashboard(request): # return render(request,'html/base/dashboard.html') return render(request,'html/base/table_base.html')
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# This file contains two functions: scrape_data(text) and prettify_data(tags) # scrape_data(text) should be assigned the XML file at the beggining of execution, it returns a list of tags that should be used during the rest of the runtime # prettify_data(tags) takes a list of tags (like the one outputted by scrape_data(...
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#!/usr/bin/env python # coding: utf-8 # In[1]: import numpy as np import torch from torch import nn # In[2]: class Enet(nn.Module): def __init__(self): super(Enet, self).__init__() self.conv = nn.Sequential(nn.Conv2d(1, 4, (7, 7)), nn...
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# Function to perform operations on two values def operate(y, x, op): if "+" in op: return x + y elif op.count("-") % 2 == 1: return x - y elif op == "*": return x * y elif op == "/": return x / y elif op == "^": return x ** y
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# Olga Redko import nltk import pickle # PART A: grammar1 = nltk.CFG.fromstring(""" S -> NP VP | NP Aux VP NP -> Det Adj N | Det Adj Adj N | N | Pro | Det N | NP CP | NP Conj NP | NP PP | N N VP -> V PP | V NP | V NP PP | V NP NP | V AdjP | V | VP Conj VP | V NP CP | VP AdvP PP -> P...
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# app包由app目录和__init__.py脚本来定义构成,并在from app import routes语句中被引用 # app变量被定义为__init__.py脚本中的Flask类的一个实例,以至于它成为app包的属性 ''' routes模块是在底部导入的,而不是在脚本的顶部。 最下面的导入是解决循环导入的问题,你将会看到routes模块中需要导入这个脚本中定义的app变量,因此将routes的导入 放在底部可以避免由于这两个文件之间的相互引用而导致的错误 ''' from flask import Flask from config import Config from flask_sql...
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import collections def solve(): x,y = map(int,input().split()) if x-y == 0 or abs(x-y) == 1: print("Brown") else: print("Alice") if __name__ == "__main__": solve()
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from nn.loss.discriminator_loss import DiscriminatorLoss from nn.loss.perceptual_loss import PerceptualLoss
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#/Tómas Ingi Villalobos #08/21/2019 - Háskóli Reykjavíkur people = 307357870 user_input = int(input("Years: ")) seconds = 365*24*60*60 birth = seconds/7 death = seconds/13 immigrant = seconds/35 if user_input >= 0: user_input_float =(user_input) people_now = people + (user_input_float*birth) - (user_input_flo...
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-S 0 -X RUN -Q 0 -L 3 117 400 -S 0 -X RUN -Q 0 -L 3 87 300 -S 1 -X RUN -Q 0 -L 3 53 400 -S 0 -X RUN -Q 0 -L 3 52 175 -S 2 -X RUN -Q 1 -L 2 50 200 -S 2 -X RUN -Q 1 -L 2 45 175 -S 2 -X RUN -Q 1 -L 2 39 400 -S 4 -X RUN -Q 2 -L 1 38 400 -S 4 -X RUN -Q 2 -L 1 35 125 -S 4 -X RUN -Q 2 -L ...
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prob_emit.py
P = {'S': {'抵': -9.744304608423588, '欢': -11.232381663853422, '抗': -10.613342455447198, '灵': -10.875706719914689, '辰': -13.178291812908736, '贾': -8.783842658236296, '流': -9.489412358794798, '徐': -7.6976528895667435, '嫁': -11.38653234368068, '唯': -1...
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from google.cloud.firestore_v1.base_document import BaseDocumentReference from yards_py.core.firestore_proxy import Query from typing import Any, Dict, Generic, List, TypeVar, Union import uuid from yards_py.core.base_entity import BaseEntity from google.cloud.firestore_v1.transaction import Transaction T = TypeVar("...
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class Keys: """ключи доступа к словарным значениям""" title = 'title' name = 'name' icon = 'icon' callback = 'callback' dialog = 'dialog' drawing_tool = 'drawing_tool' geometry = 'geometry' segments = 'segments' feature = 'feature' features = 'features' laye...
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from .. import configuration import sys import argparse def main(args=None): parser = argparse.ArgumentParser() parser.add_argument("filename",nargs="+",help="path to one or more N-body simulation snapshots to display") args = parser.parse_args(args) if args.filename is None: parser.print_help() sys.exit(0...
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size_x = 600 size_y = 600 circle_x = 300 circle_rad = 75 thrust_factor = 0 spaceship_x = 300 spaceship_y = 300 x_vel = 0 y_vel = 0 rotation = 0 def setup(): size(size_x, size_y) strokeWeight(3) colorMode(RGB, 1) def draw(): global circle_x global rotation background(0) circle_x = ci...
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import time def solve(): hs1 = hs2 = ts1 = ts2 = '1' f1 = f2 = 1 nb = n = 2 tail = head = False lb = 1 # while n < 2750: while not (tail and head): tail = head = False # f3 = f1 + f2 hs3 = add_head(hs1, hs2) ts3 = add_tail(ts1, ts2) n = n + 1 ''...
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def esr(a): if not a: return esr(a[1:]) print(a[0], end="") esr(input()) print()
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# Generated by Django 2.2.3 on 2019-12-09 11:50 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('realtime', '0009_auto_20191209_1139'), ] operations = [ migrations.AlterField( model_name='pay'...
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import numpy as np from sklearn.gaussian_process import GaussianProcessRegressor from sklearn.gaussian_process.kernels import Matern from .helpers import UtilityFunction, get_unique_rows, PrintLog, acq_max class BayesianOptimization(object): def __init__(self, parameter_bounds, gp_kernel=Matern(), verbose=1): ...
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webdownload.py
import sys, webbrowser, requests res = requests.get('https://automatetheboringstuff.com/files/rj.txt') res.raise_for_status() p = open("test.txt", "wb") for chunk in res.iter_content(100000): p.write(chunk) print chunk p.close()
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#!/usr/bin/env/python # Check the blank resource strings for any key not found in the English # resource strings. The English strings should always be fully populated. data = {'shadowofthewyrmtext_blank.ini': {}, 'shadowofthewyrmtext_en.ini' : {}} for fname in data: with open(fname) as file: lines = file...
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from enum import Enum class Infinity(Enum): Positive = object() Negative = object() def __lt__(self, other: object) -> bool: if self == other: return False if self == Infinity.Negative: return True return False def __gt__(self, other: object) -> bool: ...
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import sys import time from operator import itemgetter from igraph import * # Colors class for pretty print class bcolors: BLUE = '\033[94m' GREEN = '\033[92m' RED = '\033[91m' GOLD = '\033[93m' ENDC = '\033[0m' # Function that add a vertex on a dict def add_vertex_dico(vertex_dict, u, i...
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import matplotlib.pylab as plt import seaborn as sns import data_utils import numpy as np from time import time from sklearn.linear_model import LogisticRegression from sklearn import metrics from sklearn.model_selection import GridSearchCV projectFolder = 'D:\\Data Science\\NYU Data Science\\DS-GA 1003 Project Smalle...
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import pandas as pd from sklearn import linear_model from sklearn.metrics import r2_score from sklearn.svm import SVR from sklearn import preprocessing dataTrain = pd.read_csv("50_Startups.csv") le = preprocessing.LabelEncoder() le.fit(dataTrain['State']) print(list(le.classes_)) print(le.transform(dataT...
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from django.urls import path from places import views app_name = 'places' urlpatterns = [ path('', views.index, name='index'), path('detail', views.detail, name='detail'), path('<int:place_id>/detail', views.detail, name='detail'), path('<int:place_id>/delete/', views.delete, name='delete'), path(...
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import tensorflow as tf t1 = tf.Variable(tf.ones([2,3,4], tf.int32)) t2 = tf.Variable(tf.ones([2,3,4], tf.int32)) print(t1) print(t2) t3 = tf.assign_add(t1, t2) print(t3) print(type(t1)) print(type(t1[1])) t4 = t1[1] + t2[1] t5 = t1[1][1][1] + t2[1][1][1] # t6 = tf.scatter_add(t1[1][1][1] + t2[1][1][1]) # t42 = tf.as...
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import torch import torch.nn as nn # All neural network modules, nn.Linear, nn.Conv2d , BatchNorm, Loss functions import torch.optim as optim # For all optimization algorithms , SGD , Adan, etc. import torch.nn.functional as F # All functions that don't have any parameters from torch.utils.data import DataLoader ...
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replay_handler.pyi
from typing import ( List, Dict, Union, BinaryIO, ) from tornado import ( queues, ) from ..commands.command import Command from ..serialization import CreateOrUpdateTag class ReplayHandler: replay_path: str is_alive: bool queue: queues.Queue # replay: List[Dict[str, Union[List[Cr...
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from Stack import Stack from Student import Student # Class that uses a stack to simulate a bus class Bus: def __init__(self): self.seats = Stack() # Encapsulates the stack push() function to put students on the bus def getOnBus(self, student): self.seats.push(student) print(st...
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__version__ = "0.1" __author__ = "Lucas Makinen"
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CountingWords.py
introString = input("enter A Sentence : ") characterCount = 0 wordCount = 1 for i in introString: characterCount=characterCount+1 if(i == " "): wordCount=wordCount+1 print("number of characters in a string") print(characterCount) print("number of words in a string") print(wordCount)
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import re import sys sys.path.insert(1, '.') from common.database import Database reviews = Database().db.reviews phones = Database().db.phones phones_cursor = phones.find({}) sentiments = ['battery', 'design', 'camera', 'display', 'sound', 'heat'] for phone in phones_cursor: phone_name = phone['phone_name'] prin...
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# Generated by Django 2.2.10 on 2020-05-01 11:56 import django.contrib.postgres.fields.jsonb from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( ...
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# -*- coding: utf-8 -*- """ Spyder Editor This is a temporary script file. """ import os from google.cloud import storage os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'C:\Users\ASUS\Downloads\lofty-bolt-313607-e8b2d338b62e.json' storage_client = storage.Client() """ Create Bucket """ bucket_nam...
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# Generated by Django 2.2.2 on 2019-07-12 07:00 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('staunishing', '0009_remove_product_cat'), ] operations = [ migrations.AddField( model_name='product', name='cat', ...
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from django.conf import settings from django.shortcuts import render_to_response from django.template import RequestContext from gevent import Greenlet from redis import Redis def chat(request): """Render the chat page.""" return render_to_response('chatapp1/chat.html', {}, RequestContext(request)) def soc...
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import bottle from bottle import route, run import os import psycopg2 import urlparse urlparse.uses_netloc.append("postgres") db = os.environ["HEROKU_POSTGRESQL_PURPLE_URL"] url = urlparse.urlparse(db) @route('/increment_number_of_rages') def increment_rages(): conn = psycopg2.connect( database=url.path[1...
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#!/usr/bin/env python2 import random import math import sys import time from time import strftime, gmtime import importlib import copy import pygame, pygame.locals import gzip sys.path.reverse() sys.path.append(sys.path[len(sys.path)-1]+'/ais') sys.path.reverse() UNIVERSE_WIDTH = 400 UNIVERSE_HEIGHT = 260 PLANETS = ...
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import json from pyramid.response import Response from apis.procedure.service import insert_procedure, fetch_procedure def add_procedure(request): try: insert_procedure(request) except Exception: request.db.rollback() return Response( status='500', body=json.dum...
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#!/usr/bin/env python # ############################################################################ # # MODULE: v.out.gps # # PURPOSE: Exports a GRASS vector map to a GPS receiver # or data file using GPSBabel # # COPYRIGHT: (c) 2008-2009 Hamish Bowman, and the GRASS Development Tea...
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import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.svm import SVC from sklearn.cross_validation import train_test_split from kobra import SKSupervisedLearning from kobra.tr_utils import time_now_str import numpy as np sample_file = '/kaggle/retina/reduced/features/sample/features.csv'...
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from django import forms from rango.models import Page, Category class CategoryForm(forms.ModelForm): name = forms.CharField(max_length=128, help_text="Please enter the category name.") views = forms.IntegerField(widget=forms.HiddenInput(), initial=0) likes = forms.IntegerField(widget=forms.HiddenInput(), ...
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import numpy as np import cv2 def color_avg(photos, name): """ Saves the average color of a list of color swatches as a new color swatch with the given name. Params: {photos: List, name: String} Returns: None """ rgbs = [np.array((c[:,:,0][0][0], c[:,:,1][0][0], c...
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def devide_by_three_add_one(n): return 3*n+1 def devide_by_two(n): return n/2 #values = int(input("Input highest range: ")) number = 1 i = 0 #for i in range(values): while True: number = i + 1 steps = 0 ognum = number while (number != 1): if (number % 2) == 0: number = dev...
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""" A class to create instances of relational paths produced by closure algorithms. """ import numpy as np ROUND_DIGITS = 15 rel_delim = " -{}-> " node_delim = "[{}]" class RelationalPath: def __init__(self, src, rel, target, score, pathlen, path, rel_path, caps): self.source = src self.relation = rel self.tar...
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#!/usr/bin/env python import numpy as np import os import tamasis as tm import lo import csh # define data set datadir = os.getenv('CSH_DATA') filenames = [datadir + '/1342185454_blue_PreparedFrames.fits[5954:67617]', datadir + '/1342185455_blue_PreparedFrames.fits[5954:67617]'] pacs = tm.PacsObservation(f...
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#!/usr/bin/env python # Binary Analysis Tool # Copyright 2013-2016 Armijn Hemel for Tjaldur Software Governance Solutions # Licensed under Apache 2.0, see LICENSE file for details ''' This program prints out a possible partial configuration for all Linux kernel images plus associated modules found in a scan done by B...
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import json """ def enter_favorite_number(): file_place = 'my_numbers.json' try: favor_num = input("Your number: ") with open(file_place, 'w') as file_1: json.dump(favor_num, file_1) except FileNotFoundError: print("Something wrong") except Exception: print(...
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import alpenglow.cpp as rs import numpy as np import sip class DataframeData(rs.DataframeData): """Python wrapper around :py:class:`alpenglow.cpp.DataframeData`. """ def __init__(self, df, columns={}): super(rs.DataframeData, self).__init__() self.columns = columns self.position = ...
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class Device: # model ip = "" port = "" @staticmethod def findDevices(): devices = [] d = Device() d.ip = "192.168.1.1" d.port = "80" devices.append(d) d = Device() d.ip = "192.168.1.2" d.port = "81" devices.append(d) d ...
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import asyncio import aio_pika import json import motor.motor_asyncio import configs async def send_to_analyze(message): await configs.RABBIT_CONNECTION.default_exchange.publish(aio_pika.Message(body=json.dumps(message, ensure_ascii=False).encode()), routing_key="analyzer") async def insert_query(req): awai...
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# json与其它python格式的互相转换 import json class Myjson(object): def __init__(self, datas): self.data = datas # dict字典转成json数据 def dict2json(dict): # dict = {} # dict['name'] = 'many' # dict['age'] = 10 # dict['sex'] = 'male' # print(dict) # 输出:{'name': 'many', ...
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import os,sys sys.path.append(os.getcwd()) import allure from Base.read_yaml import ReadYaml import pytest from Page.page_in import PageIn def get_data(data_type): arrs = [] if data_type=="add": for data in ReadYaml("address.yaml").read_yaml().get("add_address").values(): arrs.append((data....
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from django import forms from contact.models import Message class MessageCreateForm(forms.ModelForm): class Meta: model = Message exclude = ["send_user", "to_user", "slug", "answer", "is_answered"] class MessageUpdateForm(forms.ModelForm): class Meta: model = Message exclude ...
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from myapi.extensions import db class Task(db.Model): """Basic task model""" id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(80), unique=True, nullable=False) status = db.Column(db.Boolean, default=False) def __repr__(self): return "<Task %s>" % self.name
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import numpy as np class Layer(object): """ Abstract Base class for a layer """ @property def output_shape(self): raise NotImplementedError @property def input_shape(self): return self._input_shape @property def has_params(self): return False @property d...
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print(5 < 10) print(5 < 5) print(5 == 5) print(5 != 5) print(5 <= 5) print(True and True) print(True and False) print(True or False) print(not True)
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import sys import tempfile from dataclasses import asdict import tensorflow as tf from absl import logging from official.utils.misc import distribution_utils from smart_compose.args import SmartComposeArg from smart_compose.train import train from smart_compose.utils import distributed_utils, parsing_utils def main...
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import re import redis import pickle #result = sg.find( 'Version', filters, fields ) #print '#results: ', len(result) #print "RESULT: ", result[0] results = [] rd = redis.Redis('localhost') if rd.exists( -3689653915491585144 ): results = pickle.loads( rd.get( -3689653915491585144 ) ) shots = [] for result in r...
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#!/usr/bin/env python import sys, time from daemon import runner from Algorithm import Algorithm from DataManager import DataManager import redis class Scheduler(): def __init__(self): self.tickNo = 1 self.dbm = DataManager() self.algo = Algorithm(self.dbm) self.rCon = redis.Redi...
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# -*- coding: utf-8 -*- import sys import time as stime import unittest import logging import os if 'DJANGO_SETTINGS_MODULE' not in os.environ: #准备测试环境 from django.core.management import setup_environ import wolfox.foxit.other_settings.settings_sqlite_test as settings setup_environ(setting...
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# 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 # distributed under th...
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#! /usr/bin/python import sys, os, random TEMP='/root/MyBrain/cell_temp.py' BASIC_DIR='/MyBrain' def open_temp(cell_temp): return open(cell_temp).read().splitlines() def gen_axon(): while True: path = '/'.join([BASIC_DIR, str(random.randint(0,255)), str(random.randint(0,255)), str(random.randint(...
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# Copyright (c) 2023 PaddlePaddle Authors. 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 applic...
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n = int(input("Enter Number to calculate sum & average")) sum = 0 for num in range(0, n + 1, 1): sum = sum + num average = sum / n print("SUM of", n, "numbers is: ", sum) print("Average of", n, "natural number is: ", average)
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class Solution: def pancakeSort(self, a: List[int]) -> List[int]: z = [] for i in range(1,len(a)+1)[::-1]: r = a.index(i)+1 z.append(r) a[:r] = a[:r][::-1] z.append(i) a[:i] = a[:i][::-1] return z
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def square(x): return x * x def main(): for i in range(5): # .format is the older way for placing data in placeholders. print("{} squared is {}".format(i, square(i))) # the newest way is to use print(f"{i}...{square(i)") if __name__ == "__main__": main()
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import tensorflow as tf import numpy as np from tutorial_tensorboard_utils import new_fc_layer, new_fc_net batch_size = 16 x_dim, y_dim = 564, 10 data_x, data_y = np.random.rand(batch_size, x_dim), np.zeros((batch_size, y_dim)) for cnt in range(batch_size): data_y[cnt, np.random.randint(0, y_dim, size=1)[0]] = 1 ...
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import chromedriver_autoinstaller from selenium import webdriver from time import sleep from datetime import datetime # Driver chromedriver_autoinstaller.install() driver = webdriver.Chrome() # Url url = "https://www.coronatracker.com/" # Abrindo página driver.get(url) # Aguarda 1 segundo sleep(1) # Datas data_atu...
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import os import glob import csv from xlsxwriter.workbook import Workbook for csvfile in glob.glob(os.path.join('.', '*.csv')): workbook = Workbook(csvfile + '_2.xlsx') worksheet = workbook.add_worksheet() offset = 130000 limit = 230000 with open(csvfile, 'r') as f: spamreader = csv.reader...
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from typing import Dict, List, Optional, Tuple, Union import gymnasium as gym import numpy as np from gymnasium import spaces from stable_baselines3.common.type_aliases import GymStepReturn class SimpleMultiObsEnv(gym.Env): """ Base class for GridWorld-based MultiObs Environments 4x4 grid world. .. co...
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# -*- coding: utf-8 -*- """ Created on Tue Jul 23 08:47:47 2019 @author: hoangt1 """ #Not done def calculate(n): if n==2: return 1 return calculate(n-1)+n//2 lst=list() lst.append(0) for i in range(2,1000000): lst.append(lst[-1]+i//2) # print(i,lst[-1]) # print(i,calculate(i)) print(len(lst),lst[-1...
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from PIL import Image block_len_height = 7 block_len_width = 7 matrix_len_height = 13 matrix_len_width = 6 CHAR_COL = 1 CHAR_ROW = 15 text = [ """ oooo.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. ...o.. oooooo """, """ oooooo .....o .....o .....o .....o .....o oooooo o..... o..... o........
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#!/speechlab/software/EPD7/epd-7.1-1-rh5-x86_64/bin/python import os import sys import glob import argparse import tempfile from scai_utils import * def extract_dwi_from_dicom(inDicomDir, outDir, logFN=None): #=== Work ===# #== Check the availability of dcm2nii and dicomhdr ==# check_bin_path("dcm2nii", l...
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# https://leetcode.com/problems/climbing-stairs/ # # You are climbing a stair case. It takes n steps to reach to the top. # # Each time you can either climb 1 or 2 steps. # In how many distinct ways can you climb to the top? class Solution(object): def climbStairs(self, n): """ :type n: int ...
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from django.conf.urls import include,url from . import views from school.api.api_views import ( SchoolListAPIView, SchoolCreateAPIView, ) urlpatterns = [ url(r'^api_list/$', SchoolListAPIView.as_view(), name='school_list'), url(r'^create/$', SchoolCreateAPIView.as_view(), name='school_create'), ]
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import AbstractClasses import ROOT class TestResult(AbstractClasses.GeneralTestResult.GeneralTestResult): def CustomInit(self): self.Name='CMSPixel_QualificationGroup_Grading_Chips_TestResult' self.NameSingle='Grading' self.Attributes['TestedObjectType'] = 'CMSPixel_Module' self.Resu...