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import atexit import os import re import shutil from enum import Enum from typing import List, Optional import collections from gitflow import cli, const, repotools, _, utils from gitflow.common import Result from gitflow.const import VersioningScheme from gitflow.properties import PropertyIO from gitflow.repotools i...
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class Solution: def __init__(self): self.m = 0 self.n = 0 def dfs(self, y, x, grid) -> int: if y < 0 or y >= self.m or x < 0 or x >= self.n or grid[y][x] == 0: return 0 res = 0 tmpGrid = grid[y][x] grid[y][x] = 0 for y_, x_ in ((y, x - 1),...
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from model.contact import Contact from random import randrange def test_modify_contact_name(app, db, check_ui): if len(db.get_group_list()) == 0: app.contact.create(Contact(firstname="test")) old_contacts = db.get_contact_list() index = randrange(len(old_contacts)) contact = Contact(first_name...
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import webapp2 from webapp2_extras import sessions class BaseHandler(webapp2.RequestHandler): def dispatch(self): self.session_store = sessions.get_store(request=self.request) try: webapp2.RequestHandler.dispatch(self) finally: self.session_store.save_sessions(self.r...
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import unittest try: from unittest.mock import Mock, call except ImportError: from mock import Mock, call from dbhelpers import cm_cursor, fetchiter, fetchone_nt, fetchmany_nt, fetchall_nt, fetchiter_nt class HelpersTestCase(unittest.TestCase): def test_cm_cursor(self): """ Creates a cont...
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#!/usr/bin/env python # THIS SHEBANG IS REALLY REALLY IMPORTANT import rospy import roscpp import numpy as np from sensor_msgs.msg import Joy from std_msgs.msg import Int16MultiArray class JoystickNode(object): def __init__(self): # put away our toys cleanly rospy.on_shutdown(self.shutdown) ...
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# -*- coding: utf-8 -*- # Copyright (c) 2015, Soldeva, SRL and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.model.document import Document class ConfiguracionISR(Document): pass @frappe.whitelist() def getRangosISR(): return frappe...
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import logging import typing from electrumsv_sdk.utils import get_directory_name COMPONENT_NAME = get_directory_name(__file__) logger = logging.getLogger(COMPONENT_NAME) if typing.TYPE_CHECKING: from .electrumsv_server import Plugin class LocalTools: """helper for operating on plugin-specific state (like...
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# -*- coding: utf-8 -*- # pylint: disable=all import base64 import binascii import contextlib import math import os import textwrap import time import urllib.parse from const import LOGS_PATH from logparser import parse from utils import is_nan, print_file # from utils import IPAddressJSONEncoder, is_nan, print_file ...
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import numpy as np from src.compute_corr_coef import compute_corr_coef from utils.plotting import plot_similarities def compute_trust_values(dsk, do_plot=False): """ Compute trust values following formula 6 k:= number of blendshapes n:= num_features (num_markers*3) :param dsk: delta_sk vector (k...
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import unittest from jaqalpaq.core.parameter import ParamType from jaqalpaq.core.constant import Constant from . import randomize from . import common class ConstantTester(unittest.TestCase): def test_valid_types(self): """Test that a Constant can only be created from valid types.""" valid_values...
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# -*- coding: utf-8 -*- # richard -- video index system # Copyright (C) 2012, 2013, 2014, 2015 richard contributors. See AUTHORS. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, eithe...
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""" copy-paste from my (beckermr) personal code here https://github.com/beckermr/metadetect-coadding-sims """ import numpy as np import galsim from descwl_shear_sims.masking import get_bmask_and_set_image from descwl_shear_sims.artifacts import ( generate_bad_columns, generate_cosmic_rays, ) def test_basic_m...
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from getpass import getpass import os from .utils import Command from .db import DB class Init(Command): name = 'init' description = "Initializes a new Stylobate project, forking the original" def add_args(self, parser): parser.add_argument( 'name', type=str, ...
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#!/usr/bin/env python # Reverse Integer https://oj.leetcode.com/problems/reverse-integer/ # Reverse digits of an integer. # Example1: x = 123, return 321 # Example2: x = -123, return -321 #Math # Xilin SUN # Dec 7 2014 class Solution: # @return an integer def reverse(self, x): if x > 2147483646: ...
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############################################################################## # # Copyright (c) 2005 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOF...
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from skin_reaper import SkinReaper if __name__ == "__main__": r = SkinReaper() data = r.harvestLinks(5) r.setSkinPreview() r.collectRandom(data) r.kill()
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# Credits go to <http://codereview.stackexchange.com/q/37522> import random import time def current_time(): '''Returns a tuple containing (hour, minute) for current local time.''' local_time = time.localtime(time.time()) return (local_time.tm_hour, local_time.tm_min) (hour, minute) = current_time() de...
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from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.md'), encoding='utf-8') as f: long_description = f.read() setup( name='solar-viabili...
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# -*- coding: utf-8 -*- # @Time : 2021/5/4 下午3:05 # @Author : godwaitup # @FileName: framework.py # original framework for joint extraction. import torch.optim as optim from torch import nn import os import data_loader import torch.nn.functional as F import numpy as np import json from functools import partial fro...
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""" Settings for application when being run in the test suite. """ import os import sys # Add the directory containing this file to the search path sys.path.append(os.path.dirname(os.path.abspath(__file__))) # Import function to generate a self-signed cert dynamically from x509cert import gen_self_signed_cert DEBUG...
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ips = [ '10.0.0.5', '10.5.3.1', '192.168.11.10', '2.2.2.2', '100.0.0.1', '20.3.2.4' ] def getKey(item): return tuple(int(part) for part in item.split('.')) def sort_ips(iplist): return sorted(ips, key=getKey) print(sort_ips(ips))
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#!/usr/bin/python import os import sys import glob import argparse import tempfile import numpy as np from scipy.io import * from scipy import stats from subprocess import Popen, PIPE from scai_utils import * from get_qdec_info import get_qdec_info from read_xml_labels import read_xml_labels atlas_label_fn = \ "...
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# Module to scrap all auction listings on the auction prices page from selenium import webdriver from bs4 import BeautifulSoup import csv import os # Utility to write as .csv file format def save_to_csv(data, SAVE_PATH, MODE): if not os.path.exists(SAVE_PATH.split('/')[0]): os.makedirs(SAVE_PATH.s...
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/home/runner/.cache/pip/pool/7d/da/46/b543433b18dcfd975ecc18a25baa2105812baf0edc0bdbfae3890e1df2
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"""Location cards.""" import logging from onirim.card._base import ColorCard from onirim import exception from onirim import util LOGGER = logging.getLogger(__name__) class LocationKind(util.AutoNumberEnum): """ Enumerated kinds of locations. Attributes: sun moon key """ ...
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import pytest from gitlabform.gitlabform import GitLabForm from gitlabform.gitlabform.test import create_group, create_project_in_group, get_gitlab, create_readme_in_project, \ GROUP_NAME PROJECT_NAME = 'branches_project' GROUP_AND_PROJECT_NAME = GROUP_NAME + '/' + PROJECT_NAME @pytest.fixture(scope="module") d...
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from bespin.errors import StackDepCycle class Layers(object): """ Used to order the creation of many stacks. Usage:: layers = Layers({"stack1": stack1, "stack2": "stack2, "stack3": stack3, "stack4": stack4}) layers.add_to_layers("stack3") for layer in layers.layered: #...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """events.py Pulse sequence events for the Arduino Due pulsebox. Radim Hošák <hosak(at)optics.upol.cz> 2021 Quantum Optics Lab Olomouc """ from functools import reduce from pulsebox.codeblocks import state_change, loop, channel_states_to_odsr from pulsebox.config impor...
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def words_to_sentence(words: list) -> str: """ This function create a string from a list of strings, separated by space. """ return ' '.join(words)
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# Copyright 2020 The Johns Hopkins University Applied Physics Laboratory # # 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 ...
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import pytest import os from tests import test_analyzer from spectra_analyzer import analyzer def file_ref(name): """Helper function for getting paths to testing spectra.""" file = os.path.join(os.path.dirname(test_analyzer.__file__), "test_analyzer", name) return file def normal...
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from django.shortcuts import render from .models import User from . import forms # Create your views here. def index(request): context = { 'django':'The Web Framework for Developers with a deadline' } return render(request,'index.html', context=context) def signup(request): sign_up = forms.User...
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import unittest from submitty_utils import string_utils class TestUser(unittest.TestCase): def testNegativeLength(self): self.assertEqual(string_utils.generate_random_string(-1), '') def testZeroLength(self): self.assertEqual(string_utils.generate_random_string(0), '') def testPositiveL...
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import os class FileHandler: def __init__(self): self.directory = os.path.expanduser('~') + '/.simple_backup' if not os.path.exists(self.directory): os.mkdir(self.directory) def save (self, filename, data): f = open(self.directory + '/' + filename, 'w') f.write(da...
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import os import argparse import logging import numpy as np import SimpleITK as sitk logging.basicConfig(level=logging.INFO) from tqdm import tqdm import cv2 import sys from PIL import Image from sklearn import metrics def Accuracy(y_true, y_pred): TP = np.sum(np.logical_and(y_pred == 255, y_true == 255)) TN =...
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from app.models.enums.station import Station class Parser: def __init__(self, data): self.data = data def getDataByStation(self, station): airDataForStation = {"timeSet": [], "level": [], "airType": [], "invalid": []} for d in self.data: if int(d.station) == station: ...
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import os import sys import copy import asyncio import logging import argparse import synapse.exc as s_exc import synapse.common as s_common import synapse.telepath as s_telepath import synapse.lib.cli as s_cli import synapse.lib.cmd as s_cmd import synapse.lib.node as s_node import synapse.lib.time as s_time import ...
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from sklearn.feature_selection import VarianceThreshold # Create feature matrix with: # Feature 0: 80% class 0 # Feature 1: 80% class 1 # Feature 2: 60% class 0, 40% class 1 X = [[0, 1, 0], [0, 1, 1], [0, 1, 0], [0, 1, 1], [1, 0, 0]] # Run threshold by variance thresholder = VarianceThreshold(thre...
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#!/usr/bin/python3 import sys sys.path.insert(0, '../..') # make '..' first in the lib search path import gzip import numpy from lemminflect.kmodels.ModelLemma import ModelLemma from lemminflect.kmodels.ModelLemmaInData import ModelLemmaInData from lemminflect.kmodels.ModelLemmaClasses import ModelLemm...
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# coding=utf-8 from __future__ import (absolute_import, division, print_function, unicode_literals) import json from _ctypes import byref, pointer from builtins import range, str from ctypes import c_char_p, string_at from snips_nlu_parsers.utils import (CStringArray, check_ffi_error, lib, ...
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import os;os.environ['TMPDIR'] = os.path.join(os.environ['HOME'], 'tmp') import pwn remote_binary = "/problems/got_5_c5119617c90aa544a639812dbc41e24e/vuln" def segfault(): try: pr = pwn.process(remote_binary) elf = pwn.ELF(remote_binary, False) print(elf.got) pr.sendlineafter("Inpu...
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#!/usr/bin/env python # coding: utf-8 # *Author: Dezso Ribli* """ Util functions for training CNN on weak lesnsing maps. Mostly data loaders and data generators with some additional functionality. """ import numpy as np # https://github.com/IntelPython/mkl_fft/issues/11 #np.fft.restore_all() import cv2 import math...
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import hashlib import io import json import os import re import struct def decode_bin(s, encoding=None): if encoding is None: encoding = "utf-8" if encoding in ("bin", "binary", "bytes", "raw"): return s return s.decode(encoding) class open_output(object): def __init__(self, filename,...
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class Element: def __init__(self, name : str, symbol : str, Z : int): self.name = name self.symbol = symbol self.Z = Z def __repr__(self): return "Element(\"{0}\", Z={1})".format(self.name, self.Z) def __str__(self): return self.symbol ...
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# Copyright 2021 VMware, Inc. # SPDX-License-Identifier: Apache-2.0 import logging import unittest from unittest import mock from vdk.plugin.control_api_auth.authentication import Authentication from vdk_provider.hooks.vdk import VDKHook log = logging.getLogger(__name__) # Monkey-patch the authentication logic to a...
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"""Funcs for logging""" import logging _CRITICAL = logging.CRITICAL _ERROR = logging.ERROR _WARNING = logging.WARNING _INFO = logging.INFO _DEBUG = logging.DEBUG _NOTSET = logging.NOTSET def build_logger(log_level, logger_name, capture_warning=True): logger = logging.Logger(logger_name) # All warnings are ...
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#!/usr/bin/env python3 # https://leetcode.com/problems/contains-duplicate/ import unittest from typing import List class Solution: def containsDuplicate(self, nums: List[int]) -> bool: seen = set() for num in nums: if num in seen: return True seen.add(num)...
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from __future__ import division import numpy as np np.seterr(divide='ignore') # these warnings are usually harmless for this code from matplotlib import pyplot as plt import copy, os import pyhsmm from pyhsmm.util.text import progprint_xrange ################### # generate data # ################### T = 1000 obs_d...
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from django.db import transaction from rest_framework.exceptions import ValidationError from .base_nested_mixin import BaseNestedMixin class UpdateNestedMixin(BaseNestedMixin): @transaction.atomic def update(self, instance, validated_data): """ :param instance: :param validated_data: ...
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__version__ = "2021.10.07"
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"""Make datasets available.""" from forayer.datasets.oaei_kg import OAEIKGDataset from forayer.datasets.open_ea import OpenEADataset __all__ = ["OpenEADataset", "OAEIKGDataset"]
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from django.contrib import admin from challenge.models import Goal, GoalInstance, SignificantOther # Register your models here. admin.site.register(Goal) admin.site.register(GoalInstance) admin.site.register(SignificantOther)
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import library import random import re def allocate(studPrefs,unassignedStudents,lecturerprefs,projLects,lectProjs,lecturercaps,projCaps,randomise,updates,iterationLimit): # Create projected preference list - first pass; add students not on lecturer's list for k, v in studPrefs.items(): for project in v: ...
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import pytest # External imports import numpy as np from gpmap import GenotypePhenotypeMap # Module to test import epistasis from epistasis.models.classifiers import * THRESHOLD = 0.2 @pytest.fixture def gpm(test_data): """ Create a genotype-phenotype map """ d = test_data[0] return GenotypePh...
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from django.contrib import admin from .models import Notification class NotificationAdmin(admin.ModelAdmin): ordering = ('published',) search_fields = ('get_author',) list_display = ('id', 'get_author', 'published', 'summary') def get_author(self, obj: Notification): return obj.author.displa...
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import bz2 import time import urllib.request import io from typing import List, Tuple from credo_cf import load_json_from_stream, progress_and_process_image, group_by_device_id, group_by_resolution, too_often, near_hot_pixel2, \ too_bright from credo_cf import xor_preprocess from credo_cf.commons.utils import get_...
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from apptweak.plateform import * class Ios(Plateform): plateform_name = 'ios' def __init__(self): super().__init__(self.plateform_name) @classmethod def ratings(self, application_id, params = {}): return self.applications(application_id, API_END_PATH['ratings'], params) @classmet...
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print('---------- Opening Files for Reading ----------') f = open('./files/reading_file_example.txt') print(f) # <_io.TextIOWrapper name='./files/reading_file_example.txt' mode='r' encoding='cp936'> print('\t---------- read() ----------') # read(): read the whole text as string. If we want to limit the number of char...
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#!/usr/bin/env python import os from glob import glob import json import pandas import datetime import sys here = os.path.dirname(os.path.abspath(__file__)) folder = os.path.basename(here) latest = '%s/latest' % here year = datetime.datetime.today().year output_data = os.path.join(here, 'data-latest.tsv') output_year...
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# -*- coding: utf-8 -*- """ Created on Mon Jan 10 07:20:39 2022 @author: maout """ import numpy as np from scipy.spatial.distance import cdist import torch #from score_function_estimators import my_cdist from typing import Union from torch.autograd import grad #%% select available device def set_device(): device...
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# -*- coding: utf-8 -*- from __future__ import division, print_function, absolute_import import tensorflow as tf import tflearn from tflearn import variables as vs from tflearn import activations from tflearn import initializations from tflearn import losses from tflearn import utils def condition(cond, t, f): i...
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from ..testcases import DustyTestCase from dusty.warnings import Warnings class TestWarnings(DustyTestCase): def setUp(self): super(TestWarnings, self).setUp() self.warnings = Warnings() def test_warn(self): message_1 = 'Something is wrong, yo' message_2 = 'Yo this thing is al...
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from random import randint import re # Supported formats: # [A]dX[(L|H|K)n][.Y1[.Y2[...]]] # A - number of dice # X - number of sides of dice # . - operation: allowed are + - * x / # Ln/Hn/Kn - discard the Lowest n dice or Keep the Highest n dice. - will only apply the first of these, in order LHK # Y1,Y2,......
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import os from sentiment_discovery.reparameterization import remove_weight_norm from sentiment_discovery.model import make_model class ModuleConfig(object): def __init__(self, parser): super(ModuleConfig, self).__init__() self.parser = parser def apply(self, cfg, opt): """make model and format model...
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"""Tests for the ConsoleEnvironment and Console helper.""" from j5.backends.console import Console def test_console_instantiation() -> None: """Test that we can create a console.""" console = Console("MockConsole") assert type(console) is Console assert console._descriptor == "MockConsole" def tes...
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from os import listdir, remove, makedirs from os.path import isfile, join, exists import shutil import joblib from termcolor import cprint import json from pathlib import Path _cache_path = None _log_actions = True def init(cache_path, log_actions=True): """ Initializes the cache. Keyword Arguments: ...
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import torch import os import numpy as np import random import pandas as pd from sklearn.model_selection import StratifiedKFold from data.tileimages import * from data.multitask import * import fastai from fastai.vision import * class FoldSampler: def __init__(self, TRAIN, LABELS, mean, std, N, ...
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def main(): # input A, B = map(int, input().split()) # compute # output if A+B>=15 and B >= 8: print(1) elif A+B>=10 and B>=3: print(2) elif A+B >= 3: print(3) else: print(4) if __name__ == '__main__': main()
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#!/usr/bin/env python # -*- coding: utf-8 -*- import pytest from ase.build import molecule from ase.lattice.cubic import SimpleCubic from graphdot.graph import Graph from graphdot.graph.adjacency import AtomicAdjacency adjacencies = [ AtomicAdjacency(shape='tent1', length_scale=1.0, zoom=1), AtomicAdjacency(s...
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import string import scipy import PslgIo, ElementAwarePslg def loadEle(filename): pslg = ElementAwarePslg.ElementAwarePslg() file = open(filename, "r") try: PslgIo.readFromFile(file, pslg, filename) finally: file.close() return pslg def saveFem(filename, femResults): #Open the ...
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""" DIANNA: Deep Insight And Neural Network Analysis. Modern scientific challenges are often tackled with (Deep) Neural Networks (DNN). Despite their high predictive accuracy, DNNs lack inherent explainability. Many DNN users, especially scientists, do not harvest DNNs power because of lack of trust and understanding ...
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try: import RPi.GPIO as GPIO except RuntimeError: print("Error importing RPi.GPIO! This is probably because you need " "superuser privileges. You can achieve this by using 'sudo' to run " "your script") gpios = [7, 8, 10, 11, 12, 13, 15, 16, 18, 19, 21, 22, 23, 24, 26, 29, 31, 32...
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#!/usr/bin/env python import rospy # For all things ros with python # JointState is defined in sensor_msgs.msg # If you know a message but not where it is # call rosmsg info MSGNAME from the terminal from sensor_msgs.msg import JointState # This tutorial takes heavily from # http://wiki.ros.org/ROS/Tutorials/WritingP...
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#!/usr/bin/env python # Aran Sena 2018 # # Code example only, provided without guarantees # # Example for how to get both cameras streaming together # #### import rospy from intera_core_msgs.srv._IOComponentCommandSrv import IOComponentCommandSrv from intera_core_msgs.msg._IOComponentCommand import IOCompon...
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# -*- coding: utf-8 -*- """ Created on Sun May 2 2021 @name: CityData CensusTract Download Application @author: Jack Kirby Cook """ import sys import os.path import warnings import logging import regex as re MAIN_DIR = os.path.dirname(os.path.realpath(__file__)) MODULE_DIR = os.path.abspath(os.path.join(MAIN_DIR, ...
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import math def estimate_lowest_divisor(method, divisor, populations, seats): """ Calculates the estimated lowest possible divisor. :param method: The method used. :type method: str :param divisor: A working divisor in calculating fair shares. :type divisor: float :param populations: Th...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np # import pylatex from pylatex import Document, Section, Tabular, Math, Axis, Subsection import pandas as pd import sys import os def main(): pm = u"\u00B1" filename = sys.argv[1] results = pd.read_csv(filename+'.csv') cols = results.col...
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import os.path as osp import yaml import torch.nn as nn from torch import hub __all__ = ['get_vggish', 'vggish_category_metadata'] model_urls = { 'vggish': "https://github.com/w-hc/vggish/releases/download/v0.1/vggish_orig.pth", 'vggish_with_classifier': "https://github.com/w-hc/vggish/releases/download/v0.1...
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import os import warnings import pandas import sqlite3 import logging from typing import List from dask import delayed, dataframe from contextlib import closing from cuchemcommon.utils.singleton import Singleton from cuchemcommon.context import Context warnings.filterwarnings("ignore", message=r"deprecated", categor...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='CustomUser', fields=[ ('id', models.AutoField(s...
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from PyObjCTools.TestSupport import * import objc import Foundation if hasattr(Foundation, 'NSMachPort'): class TestNSMachPort(TestCase): def testAlloc(self): obj = Foundation.NSMachPort.alloc() self.assertIsNot(obj, None) obj = obj.init() self.assertIsNot(o...
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#!/usr/bin/env python2 """Command line utility for querying the Logitech Harmony.""" import argparse import logging import json import sys import auth import client as harmony_client LOGGER = logging.getLogger(__name__) def login_to_logitech(args): """Logs in to the Logitech service. Args: args: ar...
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# # MIT No Attribution # # 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, subli...
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alpha = "abcdefghijklmnopqrstuvwxyz" n = int(raw_input()) for i in xrange(n): word = raw_input() aux_word = "" first_part = "" second_part = "" for j in xrange(len(word)-1, -1, -1): if(word[j].lower() in alpha): aux_word += chr(ord(word[j]) + 3) else: aux_word += word[j] middle = (len(word)/2) firs...
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import numpy as np # For file manipulation and locating import os # For the progress bar from tqdm import tqdm # To create a deep copy of the data import copy # To load the pre-processed and split data from pre_process import load_data as ld # For normalization of the samples from sklearn.preprocessing import normalize...
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import pandas as pd import time from image_matcher import read_image, bjorn_score def main(data_location='../data/', data_file='input.csv'): df = pd.read_csv(data_location + data_file) score_list, runtime_list = [], [] for idx, row in df.iterrows(): image1_file, image2_file = data_location + \ ...
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from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.asymmetric import padding from cryptography.hazmat.primitives import serialization class Encryptor: def __init__(self): #Todo: read key from file ...
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# Question 7 # Find out the number of CPUs using import os print("Number of CPUs using:", os.cpu_count()) # Alternative, """ import multiprocessing print("Number of CPUs using:", multiprocessing.cpu_count()) """
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import re import datetime import lxml.html import requests from billy.utils.fulltext import text_after_line_numbers from .bills import IABillScraper from .legislators import IALegislatorScraper from .events import IAEventScraper from .votes import IAVoteScraper # Silencing unverified HTTPS request warnings. requests.p...
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from openpyxl import Workbook from openpyxl.utils import get_column_letter from openpyxl.writer.excel import save_virtual_workbook class ExcelFile: def __init__(self, file_name): self.file_name = file_name self.workbook = Workbook() self.active_worksheet = self.workbook.active sel...
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import vipy from vipy.flow import Flow import numpy as np def test_flow(): imfrom = vipy.image.RandomScene(num_objects=1) imto = imfrom.clone().zeropad(5, 10).cornercrop(imfrom.height(), imfrom.width()) imf = Flow().imageflow(imfrom, imto) assert np.abs(np.median(imf.dx()) - 5) < 1 and np.abs(np.median...
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from typing import Optional from fastapi import FastAPI app = FastAPI() import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) LED=21 BUZZER=23 GPIO.setup(LED,GPIO.OUT) def panikMode(): print("Entering PanikMode") GPIO.output(LED,GPIO.HIGH) GPIO.output(BUZZER,GPIO.HIGH) ...
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# -*- coding: utf-8 -*- """bootstrap_py.tests.test_package.""" import unittest import os import shutil import tempfile from glob import glob from datetime import datetime from mock import patch from bootstrap_py import package from bootstrap_py.tests.stub import stub_request_metadata # pylint: disable=too-few-public-...
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# Generated by Django 3.2.6 on 2021-08-30 13:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0004_auto_20210830_0359'), ] operations = [ migrations.AlterField( model_name='article', name='urlToImage', ...
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from pathlib import Path import numpy as np import tables # Use snapshot from aug08 before the last update that broke things. with tables.open_file('cmds_aug08.h5') as h5: cmds = h5.root.data[:] print(cmds.dtype) # [('idx', '<u2'), ('date', 'S21'), ('type', 'S12'), ('tlmsid', 'S10'), # ('scs', 'u1'), ('step', '<...
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""" 18. Faça um programa que peça o tamanho de um arquivo para download (em MB) e a velocidade de um link de Internet (em Mbps), calcule e informe o tempo aproximado de download do arquivo usando este link (em minutos). """ mb_arquivo = float(input('Informe o tamanho de um arquivo para download (em MB): ')) mbps_lin...
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import argparse import pickle import os import json from sklearn.metrics import confusion_matrix from utils.data_reader import embed_data_sets_with_glove, embed_data_set_given_vocab, prediction_2_label from utils.text_processing import vocab_map from common.util.log_helper import LogHelper from deep_models.MatchPyramid...
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import shutil, os, random from pydub import AudioSegment try: os.mkdir('noise') except: shutil.rmtree('noise') os.mkdir('noise') def extract_noise(filename, length): song = AudioSegment.from_mp3(filename) first = song[100:100+length] first.export(filename[0:-4]+'_noise.mp3') shutil.move(os.getcwd()+'/'+filename[...
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from django.conf.urls import url from Apps.Apiv2.views import GetARResourcesView, GetARExperienceDetailView from Apps.Apiv2.views import GetTagListView,GetARExperienceRecommendList,GetARExperiencePublicListView,GetARExperiencesView from Apps.Apiv2.views import GetARexperienceByTagsListView app_name = 'Apps.Users' urlp...
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