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import math from torch.optim.lr_scheduler import _LRScheduler from bisect import bisect_right class WarmupCosineLR(_LRScheduler): def __init__(self, optimizer, milestones, min_ratio=0., cycle_decay=1., warmup_iters=1000, warmup_factor=1./10, last_epoch=-1): if not list(milestones) == sorted(milestones): ...
# coding: utf-8 from __future__ import unicode_literals, division, absolute_import, print_function import unittest import os from datetime import datetime, timedelta from asn1crypto import core, util from .unittest_data import data_decorator, data from ._unittest_compat import patch patch() tests_root = os.path.di...
# -*- coding: utf-8 -*- import numpy as np def generateNumberArray(N_spins, max_n_spins_in_basket): num_baskets = (N_spins/max_n_spins_in_basket+1, N_spins/max_n_spins_in_basket)\ [N_spins-(N_spins/max_n_spins_in_basket)*\ max_n_spins_in_basket==0] num...
from django.db import models # Create your models here. class Student(models.Model): name = models.CharField(max_length=10) age = models.IntegerField() sex = models.CharField(max_length=10) def __str__(self): return self.name class Course(models.Model): name = models.CharField(max_leng...
# coding: utf-8 """Training tools subpackage.""" __all__ = [ 'Manager', 'Updater', 'ScatterPlot', 'set_log_scale', ] from hdnnpy.training.extensions import (ScatterPlot, set_log_scale, ) from hdnnpy.training.manager i...
from collections import Counter class P8XMatrixTransformation: def solve(self, original, target): def c(m): c = Counter() for r in m: c += Counter(r) return c return ("NO", "YES")[c(original) == c(target)]
""" Please contact the author(s) of this library if you have any questions. Authors: Kai-Chieh Hsu ( kaichieh@princeton.edu ) Vicenc Rubies Royo ( vrubies@berkeley.edu ) """ from gym.envs.registration import register register( id="multi_player_lunar_lander_reachability-v0", entry_point=( "gym_rea...
"""Helper functions for logging purposes.""" __all__ = ["log_function_code"] from typing import Callable import inspect def log_function_code(func_to_log: Callable) -> str: """ Extracts function code into str. It is used for preparing functions code to be logged into external files. :param func_t...
import requests import json from library import * def showAll(self): res = requests.get( 'https://us-central1-kcc-library.cloudfunctions.net/showAll') result = res.json() showData(self, result) def showAvailables(self): res = requests.get( 'https://us-central1-kcc-library.cloudfuncti...
from socket import * from time import * from shumeipai.bme280 import get_temp_pressure_humidity_from_sensor from shumeipai.power_control import blink from shumeipai.soil_sensor import get_result_from_sensor from shumeipai.settings import sensor_channel, ADDR, BUFSIZ tcpCliSock = socket(AF_INET, SOCK_STREAM) tcpCliSoc...
from sentence_transformers import SentenceTransformer import scipy.spatial import numpy as np import PrepareData embedder = SentenceTransformer('output/training_stsbenchmark_roberta-base-2020-06-20_15-58-09') corpus = PrepareData.load_data() # Corpus with example sentences corpus_embeddings = [] for document in corp...
""" Database stuff. _ (Yes, I cut/pasted this from the flask docu. ¯\_(ツ)_/¯ ) """ import sqlite3 from flask import g, session from flask import flash import sys import os from app import app DATABASE = 'roborank' def full_db_path(dbname=None): if dbname is None: ...
from CvPythonExtensions import * import CvUtil import CvScreenEnums gc = CyGlobalContext() class CvPediaConcepts: def __init__(self, main): self.top = main self.X_TEXT = self.top.X_PEDIA_PAGE self.Y_TEXT = self.top.Y_PEDIA_PAGE self.H_TEXT = self.top.H_PEDIA_PAGE self.W_TEXT = self.top.W_PEDIA_PAGE ...
import json import os from datetime import datetime import click import pytz from click import ClickException from cmr import render from connect.cli.core.http import get_user_agent from connect.cli.plugins.report.constants import AVAILABLE_RENDERERS, AVAILABLE_REPORTS from connect.cli.plugins.report.utils import ( ...
# vFabric Administration Server API # Copyright (c) 2012 VMware, Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0...
from . import db from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin from . import login_manager from datetime import datetime @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) class User(UserMixin,db.Model): __table...
from matplotlib.pyplot import figure from matplotlib.ticker import ScalarFormatter import xarray sfmt = ScalarFormatter(useMathText=True) # for 10^3 instead of 1e3 sfmt.set_powerlimits((-2, 2)) sfmt.set_scientific(True) sfmt.set_useOffset(False) def plotigrf(mag: xarray.Dataset, model: str): mode = "contour" ...
#!/usr/bin/python import web import MySQLdb import sqlite3 import urllib2 render = web.template.render('templates/') urls = ( '/', 'index', '/login', 'login', '/auth', 'auth', '/register', 'register', '/about', 'about', '/user/(.*)', 'user', '/masthead', 'masthead', '/faq', 'faq', '/...
# Copyright 2019 Intel, Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import base64 import os from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.asymmetric import rsa, padding from helper.authenticatedencryption import Authe...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the artifacts attribute containers.""" import unittest from plaso.containers import artifacts from plaso.lib import definitions from tests import test_lib as shared_test_lib class EnvironmentVariableArtifactTest(shared_test_lib.BaseTestCase): """Tests f...
from .group import Group from .widgets import Button, Slider class Component: made = 0 def __init__(self, tag=None): if tag is None: tag = type(self).__name__ + str(type(self).made) self.tag = tag type(self).made += 1 def show(self, *args, **kwargs): pass ...
#!/usr/bin/env pytest # -*- coding: UTF-8 -*- import json import logging import os import sys import unittest from unittest import mock testdir = os.path.realpath(os.path.dirname(os.path.realpath(__file__)) + "/../../../") sys.path.append(testdir) import webserver.main from webserver.plugins.meta.baike import Baidu...
# Forbidden Words class MedicalPaper: def __init__(self, text): self.text = text self.color = 'red' self.text_color = 'golden' def treat(self, patient): patient.see(self.text) patient.believe(self.text) treatment = MedicalPaper('calm') if patient.illness == 'bipolar d...
''' Code: DeAuthenticating a WiFi Access Point and a WiFi Client Author: Qaidjohar Jawadwala Usage: python wifi_dos.py channel ap_mac client_mac count interface Example: python wifi_dos.py 7 E8:94:F6:D5:83:5E 98:0C:A5:5B:61:0B 10 wlan0mon Note: Only for educational purposes. ''' from scapy.all import * #Importing Kal...
# -*- coding: utf-8 -*- """ Created on Thu May 2 23:46:39 2019 @author: Ghayasuddin Adam """ import tweepy from tweepy import Stream from tweepy.streaming import StreamListener from tweepy import OAuthHandler #insert Twitter Keys CONSUMER_KEY = '' CONSUMER_SECRET = '' ACCESS_KEY = '' ACCESS_SECRET =...
import pytups as pt from .solution import Solution from cornflow_client import ExperimentCore from .instance import Instance class Experiment(ExperimentCore): def __init__(self, instance: Instance, solution: Solution): super().__init__(instance, solution) if self.solution is None: self...
import time from threading import Thread, Event import random items = [] event = Event() """ Summary event.wait() -> used by consumer to wait an event occurs to continue its processing event.set() -> set the Event, notifying the consumer event.clear() -> Event is set to false by clear() method" """ class...
# -*- 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 o...
import os from kgx import PandasTransformer cwd = os.path.abspath(os.path.dirname(__file__)) resource_dir = os.path.join(cwd, 'resources') target_dir = os.path.join(cwd, 'target') def test_load(): """ Test for loading data into PandasTransformer """ t = PandasTransformer() os.makedirs(target_dir,...
# Copyright (c) Microsoft. All rights reserved. Licensed under the MIT license. See full license at the bottom of this file. from django.test import TestCase from django.core.exceptions import ObjectDoesNotExist from contacts.models import Office365Connection import contacts.o365service # Create your tests here. api_e...
from orchespy import device, transfer_array from orchespy.devicetype import Host, VE import numpy import nlcpy @device(Host) def sum_host(x, y): return x + y @device(VE) def sum_dev(x, y): return x + y @device(Host, numpy_module_arg='xp') def create_host(size, xp): return xp.random.rand(*size) @dev...
# plot an histogram of binomial distributed numbers import numpy import matplotlib.pyplot as plt randNumbers = numpy.random.binomial(1000, .75, 5000) plt.hist(randNumbers,100) plt.title("Histogram of randomly choosen binomial numbers") plt.xlabel("range") plt.show()
from torch import nn from Model.Block import ResidualBlock, list_to_sequential from Model.Block import UpsamlingBlock import numpy as np class Generator(nn.Module): def __init__(self, in_channels=3, num_residual_blocks=16): super(Generator, self).__init__() ...
from InstruccionesPL.TablaSimbolosPL.InstruccionPL import InstruccionPL class CallFun(InstruccionPL): def __init__(self, id , op,tipo, strGram, linea, columna): InstruccionPL.__init__(self, tipo, linea, columna, strGram) self.id = id self.op = op def ejecutar(self, tabl...
import os import platform import pytest import torch from pytorch_lightning import Trainer from pytorch_lightning.callbacks import Callback from pytorch_lightning.plugins import DDPShardedPlugin, DDPSpawnShardedPlugin from pytorch_lightning.utilities import _APEX_AVAILABLE, _FAIRSCALE_AVAILABLE, _NATIVE_AMP_AVAILABLE...
allSyms = {} fn = None for line in file('funcdb', 'r').read().strip().split('\n'): if not line: continue if line[0] != '\t': fn = line continue sym, encoding = line[1:].split(' = ', 1) if not encoding.startswith('~f{'): continue encoding = encoding[3:-1] if sym not in allSyms or len(allSyms[sym][0]) > le...
from scoring_engine.engine.basic_check import CHECKS_BIN_PATH from tests.scoring_engine.checks.check_test import CheckTest class TestElasticsearchCheck(CheckTest): check_name = 'ElasticsearchCheck' properties = { 'index': 'events', 'doc_type': 'message' } cmd = CHECKS_BIN_PATH + "/ela...
import asyncio import re from telethon import Button, custom, events from telethon.tl.functions.users import GetFullUserRequest from userbot import bot from userbot.plugins.sql_helper.blacklist_assistant import ( add_nibba_in_db, is_he_added, removenibba, ) from userbot.plugins.sql_helper.botusers import ...
# Copyright 2021 by B. Knueven, D. Mildebrath, C. Muir, J-P Watson, and D.L. Woodruff # This software is distributed under the 3-clause BSD License. """ An example of using amalgamator and solving directly the EF To execute this: python farmer_ama.py --num-scens=10 --crops-multiplier=3 --farmer-with-integer ...
# 使用Tensorflow的CNN网络识别MNIST手写数字 import tensorflow as tf import numpy as np import matplotlib.pyplot as plt import os from tensorflow.examples.tutorials.mnist import input_data os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" # Hyper Parameters BATCH_SIZE = 128 LR_BASE = 0.0002 LR_DECAY = 0.99 TRAIN_STEP = 6000 mnist = inp...
# Nameko relies on eventlet # You should monkey patch the standard library as early as possible to avoid # importing anything before the patch is applied. # See http://eventlet.net/doc/patching.html#monkeypatching-the-standard-library import eventlet eventlet.monkey_patch() import logging logger = logging.getLogger(__...
import model import argparse parser = argparse.ArgumentParser() parser.add_argument("command", nargs="?", default="all") parser.add_argument("text", nargs="*") args = parser.parse_args() if args.command == "predict": text = " ".join(args.text) score = model.predict(text) desc = "positive" if score > 0.5 ...
import helper from helper import Command def start(args, logfile, errfile): helper.set_database_host(args) command = Command("rvm jruby-1.7.8 do bundle exec trinidad --config config/trinidad.yml", False) return helper.run([command], logfile, errfile, args.troot) def stop(logfile, errfile): return helper.stop(...
""" Copyright (c) 2021 Zakru Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicen...
# Copyright 2020 Varun Verma # from flask import Flask, render_template, request, jsonify from src.app_functions import predict_match_result from src.app_functions import update_team_assignment from src.app_functions import current_match_prediction from src.app_functions import update_match_details, update_final_over...
""" Created on 31 Jan 2021 Example to show myself that PCA when you don't drop any dimensions gives you back the same data with the transform, and show the amount of variance lost with different num of principal components """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn import ...
# Author: Andreas Putz # Copyright (c) 2013, PyhtonFCST # License: TBD. r""" :mod:`PythonFCST`: Python helpers for OpenFCST =============================================================================== Documentation is available in the docstrings and in ths sphinx documentation. Contents -------- The PythonFCST pac...
print ('Hola Mundo, soy del TERCERO C')
"""Configure LBANN experiment with Transformer model.""" import math import os.path import lbann import lbann.models import lbann.contrib.launcher from lbann.util import str_list import dataset # ---------------------------------------------- # Options # ---------------------------------------------- # Dataset prop...
from argparse import ArgumentParser # use traditional argparse instead hiargparse from hiargparse import ArgsProvider, Arg, ChildProvider # need to define child arguments from hiargparse import Namespace # wrapper for argparse.Namespace # just same as example.py from example import Son if __name__ == '__main__': ...
from __future__ import annotations import collections import inspect import pathlib from typing import Any from typing import Callable from typing import Dict from typing import List from typing import Tuple from typing import TypeVar from typing import cast from multipledispatch.dispatcher import Dispatcher from mul...
''' @author: frank ''' from virtualrouter import virtualrouter from zstacklib.utils import http from zstacklib.utils import jsonobject from zstacklib.utils import linux from zstacklib.utils import log from zstacklib.utils import lock logger = log.get_logger(__name__) class VipTO(object): def __init__(self): ...
import pytest import numpy as np from solarforecastarbiter.metrics import summary @pytest.mark.parametrize("ts", [ [1, 2, 3], np.random.rand(10), np.random.rand(1000), ]) def test_scalar(ts): for metric in summary._MAP: f = summary._MAP[metric][0] assert np.isscalar(f(ts))
'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GL import _types as _cs # End users want this... from OpenGL.raw.GL._types import * from OpenGL.raw.GL import _errors from OpenGL.constant import Constant as _C import ctypes _...
import torch import torchvision.transforms as transforms import torch.utils.data as data import torch.nn.functional as F import functools from PIL import Image import os import os.path import numpy as np from numpy import linalg as LA import csv import pandas as pd import pickle def make_dataset(dir): val_csv_fi...
from markovdp.q_state import QState class QStateDT(QState): """Class to represent a q-state in a Decision Tree MDP model.""" def remove_state(self, state_num): """Removes the transition and reward information for that Q-state. Args: state_num (int): The unique state number in the...
''' A Multilayer Perceptron implementation example using TensorFlow library. This example is using the MNIST database of handwritten digits (http://yann.lecun.com/exdb/mnist/) Author: Aymeric Damien Project: https://github.com/aymericdamien/TensorFlow-Examples/ ''' # Import MINST data import input_data mnist = input_...
from thumt.optimizers.optimizers import exclude_variables from thumt.optimizers.optimizers import AdamOptimizer from thumt.optimizers.optimizers import AdadeltaOptimizer from thumt.optimizers.optimizers import SGDOptimizer from thumt.optimizers.optimizers import MultiStepOptimizer from thumt.optimizers.optimizers impor...
import datetime import pandas as pd import numpy as np from dask import dataframe as dd import matplotlib.pyplot as plt from pandas.plotting import register_matplotlib_converters register_matplotlib_converters() #load in the dask dataframe df = dd.read_parquet("/Users/amyferrick/Downloads/5_min_gps_subset/unr_5min_gps...
from sqlalchemy import * from databases import Database import aiomysql import sqlalchemy from sqlalchemy.engine import reflection import pytest import functools import asyncio from devtools import debug from unimeta.table import Table from loguru import logger import configparser from unimeta.libs.liburl import parse_...
# Copyright 2010-2011 OpenStack Foundation # Copyright 2012-2013 IBM Corp. # 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/li...
from synchp.settings import Settings def test_parse_config_file(): Settings.init("synch.yaml") def test_settings(): assert isinstance(Settings.debug(), bool) assert isinstance(Settings.insert_num(), int) assert isinstance(Settings.insert_interval(), int)
from mpi4py import MPI import json import re from collections import Counter as c from collections import Counter, defaultdict from collections import OrderedDict import time import sys comm = MPI.COMM_WORLD rank = comm.Get_rank() size = comm.Get_size() grids = {} gridCounter = {} hashtagCounter = {} start_time = tim...
#!/bin/env python3 from mempatch import * import struct flashes = [ ("bin/internal.bin", 0x00200000), ("bin/external.bin", 0x90000000, 0x800000) ] files = [ ("bin/pkey.bin", 0x00208ac8), ("bin/kernel0.bin", 0x90000008), ("bin/kernel1.bin", 0x90400008), ("bin/exam0.bin", 0x903F0000), ("bin...
import os import unittest from unittest.mock import Mock, patch from cache_gs.cache_classes.cache_data_file import CacheData, CacheDataFile from tests.test_tools import raise_test_exception def force_exception(*args, **kwargs): raise_test_exception() class TestCacheDataFile(unittest.TestCase): def setUp(s...
""" Django settings for socialdistribution project. Generated by 'django-admin startproject' using Django 3.1.5. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ f...
from __future__ import absolute_import, division, print_function del absolute_import, division, print_function from .._core.axis import options from .._core import axis as ca from .kwargs import KWArgs from .sig_tools import inject_signature from .axis_transform import AxisTransform from .utils import cast, registe...
#!/usr/bin/env python # coding: utf-8 # # Angular Velocity # There are two ways to think about <i>angular velocity</i>. # # ## Case 1 # Body 1 is orbiting body 2, just like Earth travels on a curved path about the sun's rotational axis. # ![FigureAngVel.png](Figures/FigureAngVel.png) # <i>Caption</i>. On the left, ...
from .response import BotResponse class NothingResponse(BotResponse): def run(self): pass
# Copyright 2015 The Switch Authors. All rights reserved. # Licensed under the Apache License, Version 2, which is in the LICENSE file. """ Defines model components to describe unit commitment of projects for the SWITCH-Pyomo model. This module is mutually exclusive with the project.no_commit module which specifies s...
# Generated by Django 2.2.1 on 2019-11-12 16:47 import core.storage.utils from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0007_auto_20190827_1138'), ] operations = [ migrations.AddField( model_name='user', ...
#!/usr/bin/env python """ _GetOutputMap_ MySQL implementation of Jobs.GetOutputMap """ from WMCore.Database.DBFormatter import DBFormatter class GetOutputMap(DBFormatter): sql = """SELECT wmbs_workflow_output.output_identifier AS wf_output_id, wmbs_workflow_output.output_fileset AS wf_output_...
# scored.py # Repeatedly read test scores (from 0 to 100), until the user # enter -1 to finish. The input part of the program will ensure # that the numbers are in the correct range. # For each score, report the corresponding grade: # 90-100 = A, 80-89 = B, 70-79 = C, 60-69 = D, < 60 = F # When you have all the scores,...
## -*- coding: utf-8 -*- import sys import cv2 import numpy as np import time from math import sqrt ball_color = 'yellow' color_dist = {'red': {'Lower': np.array([0, 60, 60]), 'Upper': np.array([6, 255, 255])}, 'blue': {'Lower': np.array([100, 80, 46]), 'Upper': np.array([124, 255, 255])}, ...
dist=float(input('qual a distancia da viagem em km? ')) if dist<=200: preco=0.50*dist else: preco=0.45*dist print('a passagem será de R${:.2f}.'.format(preco))
from decimal import Decimal, ROUND_HALF_UP from django.test import TestCase from .utils import create_test_expenses from ..models import Expense from ..reports import summary_overall class ReportsTestCase(TestCase): """Test reports utilities for the expenses""" def setUp(self) -> None: """Set up fo...
from django.apps import AppConfig class FuturecostsConfig(AppConfig): name = 'futurecosts'
# --------------------------------------------------------------------- # inv.inv log plugin # --------------------------------------------------------------------- # Copyright (C) 2007-2018 The NOC Project # See LICENSE for details # --------------------------------------------------------------------- # NOC modules ...
from fastparquet import ParquetFile import seaborn as sns import matplotlib.pyplot as plt import os import pandas as pd import numpy as np from src.data.make_dataset import DataLoader def load_all(): df = ParquetFile(os.path.join(project_dir, 'data', 'interim', 'data.parq')).to_pandas().set_index('date') data...
from django.db import connection from django.http import JsonResponse from django.shortcuts import render import requests import json from administer.models import Services, Nodes from django.contrib import messages from administer import context_processors from configuration.models import Restart_after_configuration ...
# vFabric Administration Server API # Copyright (c) 2012 VMware, Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 ...
from django.contrib.auth import get_user_model from django.test import TestCase, Client from django.urls import reverse from bills.models import BillSet, Bill from houses.models import House from utils.models import BillFile class BillsViewsTests(TestCase): def setUp(self): self.client = Client() User = get_use...
#!/usr/bin/env python2 import sys from os.path import dirname, realpath sys.path.append(realpath(dirname(__file__))) import gimpfu as gfu from gimpfu import main from _plugin_base import GimpPluginBase class FaceGen(GimpPluginBase): def run(self, img_layer, mask_layer, mask_m_layer): self.model_file = 'M...
#!/usr/bin/env python3 import math print("Tartály festése" + "\n") magassag = float(input("Milyen magas? ")) sugar = float(input("Mennyi az átmérője? ")) / 2 felulet = 2 * math.pi * sugar * (sugar + magassag) dobozok_szama = felulet / 2 print(dobozok_szama, "doboz festék kell.")
class Newssources: ''' newssources class to define news sources objects ''' def __init__(self,id,name,description,url,category,language,country): self.id = id self.name = name self.description = description self.url = url self.category = category self.la...
import unittest from src.graph import Graph from src.breadth_first_search import bfs class BreadthFirstSearchTest(unittest.TestCase): def test_bfs_parses_the_graph_in_order(self): """ Correctly explore the following graph: _(a)--(c)--(e) / | / \ | ...
from pathlib import Path import uvicorn from fastapi import FastAPI from fastapi.staticfiles import StaticFiles from starlette.middleware.cors import CORSMiddleware from app.core import config from app.core.routes import core_router def get_application() -> FastAPI: application = FastAPI(title=config.PROJECT_NA...
"""Tests for register_mongodb.py""" from flask import Flask from flask_pymongo import PyMongo from foca.database.register_mongodb import ( create_mongo_client, register_mongodb, ) from foca.models.config import MongoConfig MONGO_DICT_MIN = { 'host': 'mongodb', 'port': 27017, } DB_DICT_NO_COLL = { ...
# FindStringusingRecursive.py # Create a function that you return True if the exat word is find in the string or sentence # string = "I love bananas and apples." # is the word ana in the string/sentence? return True # is the word live in the string/sentence ? return False # if the string/sentence or the word is empt...
class Solution: def calPoints(self, ops: 'List[str]') -> int: s = [] for op in ops: if op == 'C': s.pop() elif op == 'D': s.append(s[-1] * 2) elif op == '+': s.append(s[-1] + s[-2]) else: ...
""" pytest.fixture() 允许fixture有参数化功能 @pytest.mark.parametrize 允许在测试函数或类中定义多组参数和fixtures pytest_generate_tests 允许定义自定义参数化方案或扩展(拓展) """ import pytest @pytest.mark.parametrize("test_input,expected", [("3+5", 8), ("2+4", 6), ("6*9", 42)]) def test_eval(test_input, expected): print(f"测试数据{test_input},期望结果{expected}...
""" Probability based traffic generator """ import os import threading import sched import time import sys import random import subprocess DESTINATION = str(sys.argv[1]) PACKET_SIZE = int(sys.argv[2]) PROBABILITY = float(sys.argv[3]) RATE_IF_TRANS = int(sys.argv[4]) scheduler = sched.scheduler(time.time, time.sleep) ...
#!/usr/bin/env python from oauth_client.config import settings from redis import StrictRedis, ConnectionError import json import logging from datetime import datetime from filelock import Timeout, FileLock class OAuthTokenStore: """ Generic method to save and retrieve values from file and redis backed token s...
import logging import os import sys from collections import defaultdict # Configure Logger Log = None Cache = defaultdict(lambda: list()) CacheOrder = list() def log(msg, level='debug'): if Log is None: return if level == 'info': Log.info(msg) elif level == 'moreinfo': Log.log(15,...
# -*- coding: utf-8 -*- """ Created on Sat Oct 3 14:49:43 2020 @author: zzc14 """ import torch from Mnn_Core.mnn_utils import * from torch import Tensor from torch.nn.parameter import Parameter import torch.nn.functional as F from torch.nn import init from Mnn_Core.fast_dawson import * torch.set_default_tensor_typ...
# Import packages that are needed import pandas as pd # tested with version 0.22.0 import matplotlib as mpl import matplotlib.pyplot as plt # tested with version 2.1.2 import seaborn as sns # tested with version 0.8.1 import matplotlib.gridspec from .summary_stats import get_merged mpl.use("Agg") ALPHA = 0.1 # n...
from pwn import * context.arch = 'amd64' p = process("./filters_isprint") shellcode = b"" print(shellcode) p.send(shellcode) p.interactive()
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import sys from qtplotlib.barplot import QBarPlot from PyQt5.QtWidgets import QApplication if __name__ == '__main__': app = QApplication(sys.argv) widget = QBarPlot() #widget.data = (10, 20, 30, 5, 15) widget.data = (8, None, 7, 5, -5, 6) widget.d...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import argparse import subprocess import re class Task(object): tasknum = 0 processor = 0 utilization = 0 def make_task(tasknum, utilization): task = Task() task.tasknum = tasknum task.utilization = utilization task.processor = 0 return...