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import tkinter import webbrowser from tkinter import messagebox if __name__ == '__main__': import lyrics lyrics.main(True)
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import theano import theano.tensor as T import treeano @treeano.register_node("monitor_update_ratio") class MonitorUpdateRatioNode(treeano.Wrapper1NodeImpl): """ monitor's the ratio between the a statistic (eg. norm, max, min) between an update of a parameter and the parameter itself monitor's param...
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import discord from discord.ext import commands import sys sys.path.append('../..') import config
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from typing import Iterable from pathlib import Path import json from xrtm.models import CSV, CsvRecord, VTraceTx, VTraceRx, STraceTx, STraceRx, PTraceTx, PTraceRx, parse_and_scale_1000, scale_and_serialize_1000
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from cawebhelper import CAWebHelper import unittest if __name__ == '__main__': unittest.main()
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import sys import mraa from twisted.internet.defer import inlineCallbacks from twisted.internet.task import LoopingCall from autobahn.twisted.wamp import ApplicationSession from autobahn import wamp # adjust this for your setup: LED1_PIN = 11 # O0 (used as digital) on Arduino Tinkershield BTN1_PIN = 14 # I0 (used ...
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Mon Feb 20 21:02:29 2017 @author: ahefny """ from __future__ import print_function import numpy as np import theano import theano.tensor as T from rpsp.rpspnets.psr_lite.rnn_filter import RNNFilter from rpsp.rpspnets.psr_lite.utils.p3 import * ...
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#!/bin/env python import json import os import pytest import B_stemming as B
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import re import csv from time import sleep from bs4 import BeautifulSoup import requests import pandas as pd request = 'https://news.search.yahoo.com/search?p={}' headers = { 'accept': '*/*', 'accept-encoding': 'gzip, deflate, br', 'accept-language': 'en-US,en;q=0.9', 'referer': 'https://www.google.c...
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from typing import List from fastapi import status, HTTPException from sqlalchemy.orm import Session from .. import models, schemas, utils
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import os import logging import sys import json logging.basicConfig(level=logging.DEBUG) from rekall import session from rekall import plugins s = session.Session( filename=str(sys.argv[1]), autodetect=["rsds"], logger=logging.getLogger(), autodetect_scan_length=18446744073709551616, profile_path...
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#!/usr/bin/env python3 """ Prepare the output of the convert benchmark script for the R plotting script. """ import argparse import os import sys import re op = argparse.ArgumentParser(description=__doc__) op.add_argument('--version', action='version', version='%(prog)s 1.0') op.add_argument("--mult", "-m", action="s...
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# YouTube: https://youtu.be/JzHlMtlohNE # Publicação: https://caffeinealgorithm.com/blog/20211022/classes-e-objetos-em-python/ inimigo1 = Inimigo() inimigo2 = Inimigo() inimigo1.ataque() # Eu fui atacado e perdi uma vida. inimigo1.ataque() # Eu fui atacado e perdi uma vida. inimigo1.ataque() # Eu fui atacado ...
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""" 530. Minimum Absolute Difference in BST """ # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None
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from yaml import load from json import loads, dumps from datetime import datetime from Crypto.Cipher import AES import base64 import sys # read config.yaml
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from string import Template import os import shutil import sublime import sublime_plugin
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import pytest from rlp import decode, DecodingError invalid_rlp = ( '', '\x00\xab', '\x00\x00\xff', '\x83dogcat', '\x83do', '\xc7\xc0\xc1\xc0\xc3\xc0\xc1\xc0\xff', '\xc7\xc0\xc1\xc0\xc3\xc0\xc1' '\x81\x02', '\xb8\x00', '\xb9\x00\x00', '\xba\x00\x02\xff\xff', '\x81\x54' ...
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#!/usr/bin/python3 import argparse import glob from PIL import Image, ImageOps import os import sys if __name__ == "__main__": parser = argparse.ArgumentParser(description='Encoder and decoder for boot screen image stored in firmware of Tronxy 3D Printers.') # Main action of app subparsers = parser.ad...
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#======================================================================= # isa_RV32M.py #======================================================================= 'RISC-V instructions for integer multiplication and division.' from utils import sext_xlen, sext_32, sext, signed, trim, multhi64 from pydgin.utils imp...
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camMessage = { 'ip':"192.168.1.200", 'user':"admin", 'passwd':"@wali959" } hk_imgW = 1280 hk_imgH = 720
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1.8
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import torch import torch.nn as nn import torch.nn.functional as F import random import os import wave as we import numpy as np import mir_eval import csv import re from model import Net from utils import melody_eval,est,seg,iseg from thop import profile Net = Net() Net.cuda() Net.float() Net.train() flops1, params1...
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import numpy as np import os import sys from sklearn.preprocessing import normalize from scipy import stats import warnings from OnClass.OnClass_utils import * from OnClass.BilinearNN import BilinearNN
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import pytest from pytest import mark from torchmdnet import models from torchmdnet.models.model import create_model from torchmdnet.models.wrappers import AtomFilter from utils import load_example_args, create_example_batch @mark.parametrize("remove_threshold", [-1, 2, 5]) @mark.parametrize("model_name", models.__al...
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from psutil import virtual_memory, swap_memory from src.utils.convertutils import byte_to_mb
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from flask import current_app as app from backend.app.models.product import Product
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#!/usr/bin/env python # -*- mode: python; coding: utf-8; -*- ################################################################## # Documentation """Package providing discourse segmenter for Mate dependency graphs. Attributes: __all__ (List[str]): list of sub-modules exported by this package __author__ (str): packa...
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#!/usr/bin/env python # pylint: disable=R0902,R0913 # # A library that provides a Python interface to the Telegram Bot API # Copyright (C) 2015-2021 # Leandro Toledo de Souza <devs@python-telegram-bot.org> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser Pu...
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import os import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from ..utils.plotter_helper import PlotterHelper from ..utils.data_aggregator import DataAggregator from ..utils.signal_properties import SignalProperties from ..patient.patient_data_loader import PatientDataLoader ...
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from subprocess import Popen, PIPE import sys
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#!/usr/bin/env python3 """ TAP reporter https://testanything.org/ """ import logging import os from megalinter import Reporter, config, utils
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# # author: Jungtaek Kim (jtkim@postech.ac.kr) # last updated: September 24, 2020 # """test_utils_logger""" import logging import pytest import numpy as np from bayeso.utils import utils_logger as package_target
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from __future__ import absolute_import, unicode_literals, print_function, division import os import os.path import sys import json import sublime import sublime_plugin SUBLIMEREPL_DIR = None SUBLIMEREPL_USER_DIR = None PY2 = False if sys.version_info[0] == 2: SUBLIMEREPL_DIR = os.getcwdu() SUBLIMEREPL_USER_D...
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# coding: utf-8 """ Ketra Lighting API Control your Ketra lights # noqa: E501 The version of the OpenAPI document: 1.4.0 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from aioketraapi.configuration import Configuration class PublishBegin(obje...
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import os import shutil from matrix.common import etl from matrix.common.aws.redshift_handler import RedshiftHandler from matrix.common.etl.transformers import MetadataToPsvTransformer from matrix.common.logging import Logging logger = Logging.get_logger(__name__)
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#!/usr/bin/env python # encoding: utf-8 # The MIT License (MIT) # Copyright (c) 2020 CNRS # 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 ...
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from flask import Flask, redirect, url_for, session, request, jsonify from flask import render_template, flash from twython import Twython import markovify import os @app.route('/page1')
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"""Project-wide constants.""" import re from pathlib import Path from traiter.const import CLOSE, COMMA, DASH, FLOAT_TOKEN_RE, OPEN, PLUS, SLASH from traiter.terms.csv_ import Csv BASE_DIR = Path.cwd().resolve().parts[-1] BASE_DIR = Path.cwd() if BASE_DIR.find('floras') > -1 else Path.cwd().parent DATA_DIR = BASE_D...
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#! /usr/bin/env python3 # -*- coding: utf-8 -*- #------------------------------------------------------------------------------- # Experimental way to access to Notes matching model id, Field name and value #------------------------------------------------------------------------------- #sudo pip3 install ankisync2 ...
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"""Core pandera schema class definitions.""" import json import pandas as pd from typing import List, Optional, Union from . import errors, constants, dtypes from .checks import Check N_INDENT_SPACES = 4 class DataFrameSchema(object): """A light-weight pandas DataFrame validator.""" def __init__( ...
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#!/usr/bin/env python import sys import gfal2 if(len(sys.argv) < 2): print("Usage %s [URL]"%(sys.argv[0])) exit(1) ctxt = gfal2.creat_context() r = ctxt.listdir(sys.argv[1]) map(lambda y: sys.stdout.write(("%s\n")%(y)), r)
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import ssl from xml.etree.ElementTree import fromstring from .connection import Connection from .endpoint import LocalEndpoint from .listener import Listener from .securityParameters import SecurityParameters from .transportProperties import TransportProperties from .transports import * from .yang_validate import * l...
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import pandas import json import io import requests from datetime import datetime current_date = datetime.today().strftime('%Y-%m-%d') response = requests.post( 'https://accounts.spotify.com/api/token', data={'grant_type': 'client_credentials'}, headers={ 'Authoriza...
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from typing import List, Tuple import tensorflow as tf
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import argparse import os from multiprocessing import Pool from pathlib import Path from subprocess import call from tqdm import tqdm parser = argparse.ArgumentParser(description="Convert audio file to wav format.") parser.add_argument('-i', dest='src', help="Input directory") parser.add_argument('-if', des...
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import pickle import random import os import cv2 import ImgProcessing as moduleIP import FeatureExtraction as moduleFE # imgInput = cv2.imread(img) # batch_extractor('Data')
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from django.test import TestCase from django.template import Template, RequestContext from django.test.client import RequestFactory from django.test.utils import setup_test_environment setup_test_environment()
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#!/usr/bin/env python # -*- coding: utf-8 -*- # ######################################################################### # Copyright (c) 2020, UChicago Argonne, LLC. All rights reserved. # # # # Copyright 2020. UChicago Argonne, LLC. This ...
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""" Copyright 2015 Malte Splietker 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 ...
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#This script will be periodically run to load in lawmakers to the leg_tracker system. #Probably need to think through the workflow #When is this run? Automatically or manually? #Do we keep lawmakers in the database if they're no longer active? #maybe with the active boolean? # # # usage: # export DJANGO_SETTINGS_MODULE...
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from fastapi import APIRouter from .cleanleave import router as cleanleave_router from .todo import router as todo_router router = APIRouter(prefix="/services") router.include_router(cleanleave_router) router.include_router(todo_router)
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# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2012 OpenStack, LLC # 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/...
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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. # -------------------------------------------------------------------------------------------- # - Generated by tools/entrypoint_co...
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import sklearn import torch from torch.utils.data import TensorDataset, DataLoader import torch.nn.functional as F from torch_geometric.utils import negative_sampling, remove_self_loops, add_self_loops from torch_geometric.nn.inits import reset from torch_geometric.nn import GCNConv, BatchNorm from .utils import cluste...
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import pprint import sys import os #sys.ps1 = "\033[0;34m>>> \033[0m" #sys.ps2 = "\033[1;34m... \033[0m" # Turn on pretty printing. # Python 2.7 docs: https://docs.python.org/2/library/pprint.html # Python 3.7 docs: https://docs.python.org/3/library/pprint.html sys.displayhook = pprint.pprint # Add clear screen func...
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import txaio txaio.use_asyncio() from os import environ from answer_service.answer_component import AnswerComponent from autobahn_autoreconnect import ApplicationRunner if __name__ == '__main__': runner = ApplicationRunner( environ.get("WAMP_ROUTER_URL", u"ws://wamp_router:8080/ws"), environ.get...
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import os import numpy as np def create_file(path): """return a new file object ready to write to""" print("creating file {}".format(path)) return open(path, 'w') if __name__ == "__main__": num_file = 50 #src_file = "../dataset/agaricus_127d_train.libsvm" #dst_dir = ...
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import os import mock import pytest from absql import Runner @pytest.fixture(autouse=True) @pytest.fixture
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__author__ = 'arobres' # -*- coding: utf-8 -*- from commons.rest_utils import RestUtils from nose.tools import assert_true, assert_false import commons.assertions as Assertions import commons.fabric_utils as Fabutils from commons.constants import URL, MODULE_NAME, REPOSITORY from lettuce import step, world, before ...
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# This file should be used to test app credentials # once it runs successfully, you can be sure that # AWS with DeepL translation is set up correctly on this machine import __init__ from api.translate import deepl_translate as translate from test_framework import test if __name__ == "__main__": main()
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""" This tutorial shows you how to use Model Predictive Control with the true model. """ from stable_baselines.common import set_global_seeds from causal_world.envs.causalworld import CausalWorld from causal_world.dynamics_model import SimulatorModel from causal_world.utils.mpc_optimizers import \ CrossEntropyMetho...
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from typing import Any, List, Literal, TypedDict from .FHIR_CodeableConcept import FHIR_CodeableConcept from .FHIR_dateTime import FHIR_dateTime from .FHIR_Element import FHIR_Element from .FHIR_string import FHIR_string from .FHIR_Timing_Repeat import FHIR_Timing_Repeat # Specifies an event that may occur multiple t...
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import json from io import StringIO from html.parser import HTMLParser import torch class MLStripper(HTMLParser): """ Class for stripping away HTML stuff. """ def strip_tags(html): """ Function which takes a string and returns a string without html tags such as <br>. """ s = MLStrippe...
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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: protos/public/modeldb/Job.proto from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_dat...
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from enum import Enum import pandas as pd START_RAS_LINE = "*RAS_DATA_START\n" # Begins every file. END_RAS_LINE = "*RAS_DATA_END\n" END_FILE_LINE = "*DSC_DATA_END\n" # Meaning of this tag is rather obscure. START_HEADER_LINE = "*RAS_HEADER_START\n" END_HEADER_LINE = "*RAS_HEADER_END\n" START_INT_LINE = "*RAS_INT_STAR...
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import cv2 import numpy as np import torch from time import * from light_openpose.models.with_mobilenet import PoseEstimationWithMobileNet from light_openpose.modules.keypoints import extract_keypoints, group_keypoints from light_openpose.modules.load_state import load_state from light_openpose.modules.pose import Pose...
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from engine.config import * import subprocess
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import os from compas.datastructures import Mesh import logging import compas_slicer.utilities as utils from compas_slicer.slicers import InterpolationSlicer from compas_slicer.post_processing import simplify_paths_rdp_igl from compas_slicer.pre_processing import InterpolationSlicingPreprocessor from compas_slicer.prin...
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import operator from functools import reduce from django.db.models import Q from rest_framework import viewsets
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''' Darendeli Non-linear Properties for Equivalent-Linear Ground Response Analyses DESCRIPTION: This module contains functions related to the non-linear dynamic properties of soils, specifically geared towards use in equivalent-linear ground response analyses. The curves specified by Darendeli (2001) are coded here an...
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# -*- coding: utf-8 -*- __author__ = 'joko' """ @author:joko @time: 16/11/8 下午2:52 """ import platform import subprocess import re from time import sleep import time import os import random PATH = lambda p: os.path.abspath(p) # 判断系统类型,windows使用findstr,linux使用grep system = platform.system() if system is "Windows": ...
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#!/usr/bin/env python3 # # pre_commit.py """ Sphinx extension to show examples of ``.pre-commit-config.yaml`` configuration. .. versionadded:: 1.6.0 .. extensions:: sphinx_toolbox.pre_commit Usage ------ .. rst:directive:: pre-commit Directive which shows an example snippet of ``.pre-commit-config.yaml``. .. r...
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"""Test for autocomplete module, taken from Code Wars website.""" import pytest from autocomplete import Autocomplete short_dictionary = ['fix', 'fax', 'fit', 'fist', 'full', 'finch', 'final', 'finial'] long_dictionary = ['airplane', 'apple', 'air', 'avenue', 'airport', 'adamantium', 'awkwardn...
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# -*- coding: utf-8 -*- import numpy as np import pandas as pd def eeg_rereference(eeg, reference="average", robust=False, **kwargs): """EEG Rereferencing This function can be used for arrays as well as MNE objects. EEG recordings measure differences in electrical potentials between two points, which me...
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import os from gears.compilers import ExecCompiler
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""" This is a variant of calc example using dynamically added properties to classes created by textx. """ from __future__ import unicode_literals import sys from textx import metamodel_from_str if sys.version < '3': text = unicode # noqa else: text = str grammar = ''' Calc: assignments*=Assignment expression...
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import pytest import copy from rasa.nlu.classifiers.keyword_intent_classifier import KeywordIntentClassifier # TODO: add tests for other classifers # from rasa.nlu.classifiers.mitie_intent_classifier import MitieIntentClassifier from rasa.nlu.training_data.formats.rasa import RasaReader from rasa.nlu.training_data im...
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from .metadata import collect_metadata, print_intro_table __all__ = ["print_intro_table", "collect_metadata"]
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#!/usr/bin/env python # encoding: utf-8 # # Copyright SAS Institute # # 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 b...
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""" ============================================================== Compute real-time power spectrum density with FieldTrip client ============================================================== Please refer to `ftclient_rt_average.py` for instructions on how to get the FieldTrip connector working in MNE-Python. This e...
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""" pytest "fixture" providing an easy interface for running a Pyright typecheck and snapshot-testing its output. See test_type_ui_testing_fixture.py for examples. """ import os import os.path from typing import Optional, Set import pytest from pytest import FixtureRequest from pytest_snapshot.plugin import Snapshot...
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import os from setuptools import setup install_requires = [] install_requires.extend(open( os.path.join(os.path.dirname(os.path.abspath(__file__)), 'requirements.txt') ).read().split()) setup( name='django-issues-errors', version='0.1.1', description='Special python logging handler for send errors to ...
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# Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
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#!/usr/bin/env python import sys # sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages') import socket import numpy as np import cv2 import os import time import struct # DEPRECATED CAMERA CLASS FOR REALSENSE WITH ROS # ---------------------------------------------- # import rospy # from realsense_came...
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from unittest.mock import patch from pre_commit_dbt.dbt_deps import main from pre_commit_dbt.dbt_deps import prepare_cmd
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#!/usr/bin/env python
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from typing import Sequence, Tuple, List, Any import numpy.typing as npt a: Sequence[int] b: Sequence[Sequence[int]] c: Sequence[Sequence[Sequence[int]]] d: Sequence[Sequence[Sequence[Sequence[int]]]] e: Sequence[bool] f: Tuple[int, ...] g: List[int] h: Sequence[Any] reveal_type(func(a)) # E: None reveal_type(func(b...
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import os from renderer import Renderer from throw_out_your_templates_3_core_visitor_map import VisitorMap from throw_out_your_templates_4_core_default_visitors import default_visitors_map VISITOR_MAP = VisitorMap(parent_map=default_visitors_map) @VISITOR_MAP.register(Script) """ Disabled content """
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""" Project Name: COVID-19 Tracker Project Developer: - Vishesh Dvivedi (TheSpecialCoder) Project Description: This project uses tkinter and matplotlib library to create an application that can create graphs of 'confirmed cases', 'confirmed deaths' and 'confirmed recoveries' of COVID-19 patients acros...
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import_command = "import groovy.json.JsonSlurper \n"
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# SPDX-FileCopyrightText: (c) 2021 Artëm IG <github.com/rtmigo> # SPDX-License-Identifier: BSD-3-Clause import signal # based on https://stackoverflow.com/a/49567288
[ 2, 30628, 55, 12, 8979, 15269, 8206, 25, 357, 66, 8, 33448, 3683, 26689, 76, 35336, 1279, 12567, 13, 785, 14, 17034, 76, 14031, 29, 198, 2, 30628, 55, 12, 34156, 12, 33234, 7483, 25, 347, 10305, 12, 18, 12, 2601, 682, 198, 198, ...
2.521739
69
from rbtree import * import bisect dataList = [ Interval(10, 20), Interval(10, 50), Interval(30, 50), Interval(30, 40), Interval(30, 90), Interval(40, 90), Interval(0, 30), Interval(50, 128), Interval(40, 50), Interval(70, 80), ] deleteList = [ Interval(30...
[ 6738, 374, 18347, 631, 1330, 1635, 201, 198, 11748, 47457, 478, 201, 198, 201, 198, 7890, 8053, 796, 685, 201, 198, 220, 220, 220, 4225, 2100, 7, 940, 11, 1160, 828, 201, 198, 220, 220, 220, 4225, 2100, 7, 940, 11, 2026, 828, 201,...
2.174
500
#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (c) 2016-2017, Cabral, Juan; Sanchez, Bruno & Berois, Martín # All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of sourc...
[ 2, 48443, 14629, 14, 8800, 14, 24330, 21015, 198, 2, 532, 9, 12, 19617, 25, 3384, 69, 12, 23, 532, 9, 12, 198, 198, 2, 15069, 357, 66, 8, 1584, 12, 5539, 11, 15976, 1373, 11, 16852, 26, 21909, 11, 31045, 1222, 347, 3529, 271, ...
4.103306
484
# Copyright (c) 2021, Frappe Technologies Pvt. Ltd. and Contributors # MIT License. See LICENSE import unittest from random import choice from typing import Union from unittest.mock import MagicMock, PropertyMock, patch import frappe from frappe.desk.form.load import run_onload from frappe.email.doctype.newsletter.ex...
[ 2, 15069, 357, 66, 8, 33448, 11, 39313, 27768, 21852, 18367, 83, 13, 12052, 13, 290, 25767, 669, 198, 2, 17168, 13789, 13, 4091, 38559, 24290, 198, 198, 11748, 555, 715, 395, 198, 6738, 4738, 1330, 3572, 198, 6738, 19720, 1330, 4479, ...
3.053232
263
import helpers from keras.applications.nasnet import preprocess_input
[ 11748, 49385, 198, 6738, 41927, 292, 13, 1324, 677, 602, 13, 24716, 3262, 1330, 662, 14681, 62, 15414, 198 ]
3.684211
19
from collections import Counter
[ 6738, 17268, 1330, 15034, 198, 220, 220, 220, 220, 198 ]
3.7
10
print('---='*20) print('Analisador de Triângulo') print('---='*20) r1 = int(input('Tamanho da reta a: ')) r2 = int(input('Tamanho da reta b: ')) r3 = int(input('Tamanho da reta c: ')) if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r1 + r2: print('Esses segmentos podem formar triângulo ', end='') if r1 == r2 == r...
[ 4798, 10786, 6329, 11639, 9, 1238, 8, 198, 4798, 10786, 2025, 27315, 7079, 390, 7563, 22940, 782, 43348, 11537, 198, 4798, 10786, 6329, 11639, 9, 1238, 8, 198, 81, 16, 796, 493, 7, 15414, 10786, 51, 10546, 8873, 12379, 1005, 64, 257, ...
2.011364
264
#!/usr/bin/env python3 from pwn import * binary = context.binary = ELF('./oversight') while True: if args.REMOTE: p = remote('pwn-2021.duc.tf', 31909) libc = ELF('./libc-2.27.so') libc_start_main_offset = 231 else: p = process(binary.path) libc = ELF('/lib/x86_64-linux-gnu/libc.so.6') libc_start_main_o...
[ 2, 48443, 14629, 14, 8800, 14, 24330, 21015, 18, 198, 198, 6738, 279, 675, 1330, 1635, 198, 198, 39491, 796, 4732, 13, 39491, 796, 17852, 37, 7, 4458, 14, 13801, 432, 11537, 198, 198, 4514, 6407, 25, 198, 197, 361, 26498, 13, 40726,...
2.119923
517
# Prints all distinct permutations # in str[0..n-1] findPermutations(list("***||"),0,5)
[ 220, 198, 2, 12578, 82, 477, 7310, 9943, 32855, 198, 2, 287, 965, 58, 15, 492, 77, 12, 16, 60, 220, 198, 198, 19796, 5990, 21973, 602, 7, 4868, 7203, 8162, 15886, 12340, 15, 11, 20, 8 ]
2.459459
37
import torch import torch.nn.functional as F from torch.distributions.multinomial import Multinomial def one_hot(sequence, n_states): """ Given a list of integers and the maximal number of unique values found in the list, return a one-hot encoded tensor of shape (m, n) where m is sequence length and n ...
[ 11748, 28034, 198, 11748, 28034, 13, 20471, 13, 45124, 355, 376, 198, 6738, 28034, 13, 17080, 2455, 507, 13, 16680, 259, 49070, 1330, 7854, 259, 49070, 198, 198, 4299, 530, 62, 8940, 7, 43167, 11, 299, 62, 27219, 2599, 198, 220, 220, ...
2.713889
1,800
import json, sys, os x = json.load(sys.stdin) # Reducers %v try: print(json.dumps(x)) except: print(json.dumps(list(x)))
[ 11748, 33918, 11, 25064, 11, 28686, 198, 87, 796, 33918, 13, 2220, 7, 17597, 13, 19282, 259, 8, 198, 198, 2, 2297, 1229, 364, 4064, 85, 198, 198, 28311, 25, 198, 220, 220, 220, 3601, 7, 17752, 13, 67, 8142, 7, 87, 4008, 198, 163...
2.112903
62