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def function(x, y, food="spam"): print(food) function(1, 2) # The argument '1' is passed in to parameter x, the argument '2' is passed in # to y, no argument is passed in to the parameter food (so the default is # used). function(3, 4, "egg") # "egg" passed in to parameter food """ In case the argument is passed ...
import json from datetime import datetime from flask import request, Response, Blueprint, jsonify from flask_login import current_user from c3bottles import app, db from c3bottles.model.drop_point import DropPoint from c3bottles.model.report import Report from c3bottles.model.visit import Visit bp = Blueprint("api"...
import argparse import numpy as np from hdf5zarr import HDF5Zarr import h5py import time parser = argparse.ArgumentParser() parser.add_argument('--selection', type=lambda s : eval('np.index_exp['+s+']'), default=':') parser.add_argument('--dsetname', type=str, default='') parser.add_argument('--url', type=str, defaul...
from benchmarks.moo_bb_func import get_bb_func from entmoot_moo.optimizer import Optimizer # iterate through different problem names to for bb_name in ['Battery','Windfarm']: bb_func = get_bb_func(bb_name) # we consider 25 different rnd states in this example for itr in range(25): seed = 101 + itr...
""" Script to generate random user data in RWTHOnline .csv format Author: L. Lamm (lamm@ifam.rwth-aachen.de) """ from miraculix.participant import Participant from miraculix.utils import write_csv """Generate list of participants""" participant_list = Participant.generate_random_participant_list(50) """Arrange Data ...
# -*- coding: utf-8 -*- MOCK_TEXT_1 = ( "The seething sea ceaseth and thus the seething sea sufficeth us.") MOCK_TEXT_2 = ( "She sells sea shells on the sea shore. " "The shells she sells are sea shells, I'm sure. " "For if she sells sea shells on the sea shore " "Then I'm sure she sells sea shore s...
# -*- coding: utf-8 -*- # Copyright (c) 2017-2020 Richard Hull and contributors # See LICENSE.rst for details. """ Test helpers. """ import platform from pathlib import Path import pytest from PIL import ImageChops, ImageFont from unittest.mock import mock_open rpi_gpio_missing = f'RPi.GPIO is not supported on thi...
import collections class Solution: def groupAnagrams(self, strs): """ :type strs: List[str] :rtype: List[List[str]] """ d = collections.defaultdict(list) for i in strs: d["".join(sorted(i))].append(i) return list(d.values()) if __name__ == "__...
from DataBases.DataBaseClass import Database from datetime import datetime class UserInfoDatabase(Database): """Stores information on users including currency, user ids, and items""" def __init__(self, tablename='UserInformation'): super().__init__(filename='UserInfo.db') self.tablenam...
# encoding=UTF-8 from __future__ import unicode_literals from django.apps import AppConfig class FoodConfig(AppConfig): name = 'food' verbose_name = '食物'
import json, os, sys from pprint import pprint as print from datetime import datetime from datetime import date, timedelta from collections import Counter from collections import OrderedDict import openpyxl from openpyxl.worksheet.dimensions import ColumnDimension, DimensionHolder from openpyxl.utils import get_column...
"""Document fields.""" import abc import re from datetime import datetime from decimal import Decimal import bson.errors from bson import ObjectId, Decimal128 from aioodm.errors import ValidationError, StopValidation from aioodm.utils import _Empty, import_class __all__ = ['AnyField', 'StrField', 'EmailField', 'In...
# Players management module # import hashlib import stores from matchupsv2 import now salt = 'superhero' def userhash(name): hash = hashlib.sha256() hash.update(salt + name) return hash.hexdigest() def pswhash(name, psw): hash = hashlib.sha256() hash.update(salt + name + psw) return hash.he...
# Licensed under a 3-clause BSD style license - see LICENSE.rst # -*- coding: utf-8 -*- import numpy as np import pytest from astropy import units as u from astropy.coordinates import SkyCoord, ICRS, Galactic, FK4, FK5, Longitude asdf = pytest.importorskip('asdf') from asdf.tests.helpers import assert_roundtrip_tre...
""" This program takes in the a url to an index.m3u8 file and it will return a modified version of that file that vlc media player can use """ import sys import requests def outputBuffer(buffer, outputFile): buffer = buffer + '\n' outputFile.write(buffer) buffer = "" return bu...
import time import random def timeit(func, *args): t1 = time.time() ret = func(*args) cost_time = (time.time() - t1) * 1000 print("cost time: %sms" % cost_time) try: randint_wrap = random.randint except: # micropython def randint_wrap(a, b): return a + random.getrandbits(32) % (b-a) def rand_int...
# Sneek peek on the results. # Importing sentiment_mod module and then testing on some feeds and statements. import sentiment_mod as senti print(senti.sentiment("He is an incapable person. His projects are totally senseless.")) print(senti.sentiment("This movie was awesome! The acting was great, plot was wonderful !"...
from typing import Optional import streamlit as st import requests import json import spacy_streamlit from spacy_streamlit.util import get_svg from spacy import displacy spacy_model = "en_core_web_sm" def main(): # Applying styles to the buttons st.markdown("""<style> .st-eb { ...
from filelist import filelist def functionlist(file_path): with open(file_path) as fp: file_lines = fp.read().splitlines() return [(line, index) for index,line in enumerate(file_lines) if line.split(' ', 1)[0] == 'function'] def list_functionlist(list_file_path): return [(file_path, functionlist...
import argparse import os import json import numpy import PIL.Image from . import pidfile, tally, nethook, zdataset from . import upsample, imgviz, imgsave, proggan, segmenter def main(): parser = argparse.ArgumentParser(description='quickdissect') parser.add_argument('--outdir', type=str, default='results') ...
from PyQt5 import uic, QtWidgets from datetime import date import win32com.client as win32 from openpyxl import Workbook import pandas as pd class SistemaGeral: ### INICIO def __init__(self): ### SETUP LAYOUT APP # Chamando sistema Layout app = QtWidgets.QApplication([]) # Lay...
import tkinter as tk class WelcomePage(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.controller = controller _bgcolor = '#d9d9d9' # X11 color: 'gray85' _fgcolor = '#000000' # X11 color: 'black' font13 = "-family {Tw Cen MT} -size...
#!/usr/bin/env python # -*- coding: utf-8 -*- '''abcat.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Apr 2018 License: MIT - see the LICENSE file for the full text. This contains functions to interface with astrobase checkplots, lcproc object catalogs and generate useful files and database tables for use with the...
# -------------- # import the libraries import numpy as np import pandas as pd import seaborn as sns from sklearn.model_selection import train_test_split import warnings warnings.filterwarnings('ignore') # Code starts here df = pd.read_csv(path) print(df.head()) X = df.drop(['insuranceclaim'],1) y = df['insuranceclai...
from enum import Enum class Months(Enum): janeiro = "Janeiro" fevereiro = "Fevereiro" marco = "Março" abril = "Abril" maio = "Maio" junho = "Junho" julho = "Julho" agosto = "Agosto" setembro = "Setembro" outubro = "Outubro" novembro = "Novembro" dezembro = "Dezembro"
__all__ = ["LightningModelAdapter"] import pytorch_lightning as pl from icevision.imports import * from icevision.metrics import * class LightningModelAdapter(pl.LightningModule, ABC): def __init__(self, metrics: List[Metric] = None): super().__init__() self.metrics = metrics or [] def accum...
import os import socket import struct import sys import threading import time class Driver(object): def __init__(self, topo): """ constructor """ self.topo = topo self.host = '192.168.10.100' # driver ip address self.port = 4747 # port number must match the one in router.py self.hosts = self.populate...
print(42 if False == False else 777)
import numpy as np from cereal import log, messaging from common.filter_simple import FirstOrderFilter from common.numpy_fast import interp, clip, mean from common.realtime import DT_MDL from selfdrive.hardware import EON, TICI from selfdrive.swaglog import cloudlog from common.params import Params from decimal import ...
""" File utilities """ import sys import os from os.path import join import stat from glob import glob from pprint import pprint import shutil import distutils import pathlib from pathlib import Path import json import csv import pickle import threading from queue import Queue import time import logging import itertoo...
# from downscale import utils # from downscale.downscale import *
from clearbit.resource import Resource from clearbit.error import (ParamsInvalidError) class NameToDomain(Resource): endpoint = 'https://company.clearbit.com/v1/domains' @classmethod def find(cls, **options): return cls.get('/find', **options)
""""Unit tests for the outbox.""" import unittest from unittest.mock import patch from models.metric_notification_data import MetricNotificationData from models.notification import Notification from outbox import Outbox class OutboxTestCase(unittest.TestCase): """Unit tests for the outbox.""" def setUp(sel...
# %-*- coding: utf-8 -*- """ ============================================================================= Title : Compressive sensing framework Project : Simulation environment for BckTrk app File : CSNN_Framework.py ----------------------------------------------------------------------------- ...
from brownie import reverts def test_constructor(SwapStrategy, vault, gov, keeper): strategy = gov.deploy(SwapStrategy, vault, 2400, 1200, 500, 600, keeper) assert strategy.vault() == vault assert strategy.pool() == vault.pool() assert strategy.baseThreshold() == 2400 assert strategy.limitThreshol...
import sys import process_sequence_fasta as pro_seq_fasta import sequence2vector as s2v_tools import numpy as np import pickle from sklearn.model_selection import train_test_split from keras.layers import LSTM, Dense from keras.models import Sequential from keras.layers import Embedding from keras.preprocessing import ...
# recursive approach to find the number of set # bits in binary representation of positive integer n def count_set_bits(n): if (n == 0): return 0 else: return (n & 1) + count_set_bits(n >> 1) # Get value from user n = 41 # Function calling print(count_set_bits(n...
import numpy as np from keras import backend as K from keras.models import Model from keras.layers import Input, Lambda def euclidean_distance(vects): x, y = vects sum_square = K.sum(K.square(x - y), axis=1, keepdims=True) return K.sqrt(K.maximum(sum_square, K.epsilon())) def contrastive_los...
from argparse import ArgumentParser from enum import Enum from more_itertools import sliced from pathlib import Path from robber_baron import Bot class Difficulty(Enum): EASY = "easy" MEDIUM = "medium" DIFFICULT = "difficult" INSANE = "insane" def __str__(self) -> str: return self.value ...
from flask_wtf import Form from wtforms import TextField, PasswordField from wtforms.validators import DataRequired, EqualTo, Length # Set your classes here. class RegisterForm(Form): name = TextField( 'User Name', validators=[DataRequired(), Length(min=6, max=25)] ) email = TextField( 'E...
from iap2022.utils.coordinate_transformer import CoordinateTransformer from iap2022.utils.coordinate_transformer import InternalCoordinate, InternalCoordinateAndOrientation from iap2022.utils.functional import get_bonded_atoms
from django.conf.urls import patterns, url urlpatterns = patterns( '', url(r'^admin/inspect/browse/$', 'upy.contrib.inspect.views.browse', name='inspect_browse'), )
import tensorflow as tf import numpy as np import gym class Config(object): input_size = None output_size = None num_layer = 2 num_hidden = 128 dtype = tf.float32 epsilon = 0.2 c1 = 0.5 c2 = 0.01 gamma = 0.99 normalize_advantages = True learning_rate = 3e-4 epoch = 10 ...
''' Created on Jan 3, 2022 @author: immanueltrummer ''' import argparse import codexdb.catalog import codexdb.code import codexdb.engine import contextlib import json import os import openai import pandas as pd import time def extract_samples(catalog, path_to_results): """ Extracts completion examples from prior ...
import setuptools # -$ python setup.py sdist bdist_wheel # -$ twine upload dist/* -u VicWang -p PYPI****** setuptools.setup( name="leaptask", version="2020.4.2.14", author="Vic Wang", author_email="305880887@qq.com", description='leap task', long_description="leap tasks", long_description_...
import sys import os.path sys.path.insert(1, os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir,))) from graph.arango_utils import aql_query, connect_to_mim_database from graphviz import Digraph def main(): db = connect_to_mim_database() # query = f''' # FOR m IN Members #...
#from django.urls import path from django.conf.urls import url, include from django.conf.urls import url from . import views from django.conf.urls import include, url from django.contrib import admin from rest_framework import routers urlpatterns = [ url('', views.homePageView, name='home') ] ''' router = routers....
# Copyright 2020, 2021 Intel Corporation # # 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...
"""Module for server.""" import logging import os from typing import Any from aiohttp import web from aiohttp_middlewares import cors_middleware, error_middleware from dotenv import load_dotenv from .routes import ( delete_ontology, get_ontology, get_ontology_type, get_slash, ping, put_ontolog...
#! /usr/bin/python # -*- coding: utf-8 -*- import functools import numpy as np import dask.array as da import xarray as xr import skimage as ski from scipy.ndimage.filters import convolve #import bottlenack as bn def view(offset_y, offset_x, size_y, size_x, step=1): """ Calculates views for windowes operations...
# Copyright (c) 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. apptrace_URL_PATTERNS = ['top50'] apptrace_TRACE_MODULES = ['models.py', 'app.py', 'views.py'] def webapp_add_wsgi_middleware(app): from google.appe...
"""Python setup.py for project_name package""" import io import os from setuptools import find_packages, setup def read(*paths, **kwargs): """Read the contents of a text file safely. >>> read("project_name", "VERSION") '0.1.0' >>> read("README.md") ... """ content = "" with io.open( ...
#!/usr/bin/python3 import os import time from lsb import Lsb from util import cmd_parser def main(): args = cmd_parser() coding = args.coding secret_message = args.message source_file = args.source_file result_file = args.result_file secret_file = args.secret_file # Input check if ...
import argparse parser = argparse.ArgumentParser(); parser.add_argument("--first", default="Admin", help='First Name') parser.add_argument("--last", default="Admin", help='Last Name') parser.add_argument("-p", "--pay", default=1000, dest='EPAY', metavar='PAY', type=int, help='Payment') parser.add_argument("...
import os import htmlPy from PyQt4 import QtGui #initial configuration #we get the absolute path of the initialization script to manage all the assets and backend BASE_DIR = os.path.abspath(os.path.dirname(__file__)) #GUI initialization app = htmlPy.AppGUI(title=u"PepperPresenter Application") app.maximized = True #...
""" The Quantum Graph Recurrent Neural Network =========================================== .. meta:: :property="og:description": Using a quantum graph recurrent neural network to learn quantum dynamics. :property="og:image": https://pennylane.ai/qml/_images/qgrnn_thumbnail.png *Author: Jack Ceroni* """ ####...
from django.contrib.auth import REDIRECT_FIELD_NAME from django.contrib.auth.decorators import user_passes_test __all__ = ['login_required', 'staff_required'] def login_required(function=None, redirect_field_name=REDIRECT_FIELD_NAME, login_url=None): """ Decorator for views that checks that the user is logge...
import numpy import math from matplotlib import pyplot img0 = pyplot.imread('./data/Teddy/frame10.png') img1 = pyplot.imread('./data/Teddy/frame11.png') M, N = img0.shape print(img0.shape) W = 25 def lucas_kanade(img0, img1, W): It = img1 - img0 Ix, Iy = numpy.gradient(img0) pyplot.imshow(img0, cmap = 'g...
import time noe = time.time() print(time.ctime(now))
from django.apps import AppConfig class CeleryApiConfig(AppConfig): name = 'celery_api' def ready(self): from . import signal_handler
# -*- coding: utf-8 -*- from contextlib import nested import json import mock import testify as T from urlparse import urlunsplit from py_razor_client.razor_client import RazorClient class RazorClientTestCase(T.TestCase): @T.setup_teardown def create_razor_client(self): self.hostname = "some_host" ...
import discord from discord.ext import commands import time class Management: def __init__(self, client): self.client = client @commands.is_owner() @commands.command() async def shutdown (self, ctx): """Shuts the bot down.""" await ctx.send("Bot is shutting down...") aw...
''' module for calculating x to the power y (x ** y) efficiently ''' def big_power(x: int, y: int, MOD = None): ''' For calculating powers where x and y are large numbers ''' result = 1 if MOD is None: while (y > 0): if (y & 1): result *= x x ...
from typing import Dict, Optional from asyncpraw import Reddit from asyncpraw.models import Submission from asyncprawcore.exceptions import OAuthException from app.core.config import RedditConfig, settings async def get_reddit_connection(config: RedditConfig) -> Reddit: """Function for connecting to reddit with...
# Models from hrm_api.community.models import Reaction # Utils import factory from factory.django import DjangoModelFactory from hrm_api.community.models.reaction import ReactionTypes # Factories from hrm_api.users.factories import ProfileFactory from hrm_api.community.factories import FeedFactory, CommentFactory ...
import math import cv2 import numpy as np from time import time import mediapipe as mp import matplotlib.pyplot as plt # Initializing mediapipe pose class. mp_pose = mp.solutions.pose # Setting up the Pose function. pose = mp_pose.Pose(static_image_mode=True, min_detection_confidence=0.3, model_complexity=2) # Init...
import os BASE_DIR = os.path.dirname(os.path.dirname(__file__)) DATABASES = {"default": {"ENGINE": "django.db.backends.sqlite3", "NAME": ":memory:"}} INSTALLED_APPS = ["testapp"] BASEDIR = os.path.dirname(__file__) SECRET_KEY = "supersikret" ROOT_URLCONF = "testapp.urls" ALLOWED_HOSTS = ["*"]
# -*- coding: utf-8 -*- from flask import url_for from . import db, BaseNameMixin, MarkdownColumn from .user import User from .commentvote import VoteSpace, CommentSpace, SPACETYPE __all__ = ['SPACESTATUS', 'ProposalSpace'] # --- Constants --------------------------------------------------------------- class SPACE...
#python=3.6 # -*- coding: utf-8 -*- """ Synopsis: Created: Created on Sun Feb 14 18:59:11 2021 Sources: Author: John Telfeyan john <dot> telfeyan <at> gmail <dot> com Distribution: MIT Opens Source Copyright; Full permisions here: https://gist.github.com/john-telfeyan/2565b2904355410c1e75f27524aeea...
import itertools as it import string import unicodedata from unicode_math_symbols import * JSON_SNIPPET_TEMPLATE = """\ "{0}": {{ "prefix": "{0}", "body": ["{1}"], "description": "{2}" }}, """ def json_escape(char): codepoint = ord(char) if codepoint <= 0xFFFF: return "...
from Jumpscale import j from base_test import BaseTest from parameterized import parameterized import random, requests, uuid, unittest from requests import ConnectionError SKIPPED_INSTALLATION = { "capacity": "https://github.com/threefoldtech/jumpscaleX_core/issues/94", "sanic": "https://github.com/threefoldte...
from collections import UserDict, OrderedDict from collections.abc import Iterable from _collections_abc import ( dict_keys, dict_values, dict_items, ) # https://github.com/python/typeshed/pull/6888 from .helpers import _is_iterable_but_not_string, _convert_slice_to_list class kdict(UserDict): """ ...
import tensorflow as tf from tensorflow.keras.callbacks import Callback from matplotlib import pyplot as plt class GANMonitor(Callback): def __init__(self, num_img, latent_dim, vis_path, model_path): self.num_img = num_img self.latent_dim = latent_dim self.vis_path = vis_path s...
# -*- coding: UTF-8 -*- import json import uuid from datetime import datetime from flask import current_app from flask.ext.login import UserMixin from itsdangerous import TimedJSONWebSignatureSerializer as Serializer from werkzeug.security import generate_password_hash, check_password_hash from app import db from app...
import numpy as np import matplotlib.pylab as mp import scipy as sp from scipy.integrate import odeint,dblquad import time from colorsys import hsv_to_rgb from mpl_toolkits.mplot3d import Axes3D # anim from matplotlib import pyplot as plt from matplotlib import animation import twod import fourier_2d as f2d #import ...
from datetime import datetime, timedelta import oembed from urllib2 import HTTPError from django.contrib.admin import helpers from django.contrib.auth.models import User from django.contrib.contenttypes import generic from django.contrib.contenttypes.models import ContentType from django.core.exceptions import Validat...
import arcade from .base import Base class BaseVisible(Base): def __init__(self): super().__init__() """the property below ensures that this component can only be added to an arcade sprite (gameobjectvisible)""" @property def parent(self): return self._parent @parent.setter ...
import fido from typing import List from config import IRC from modules.access import require_permission, Levels from modules.nexmo import add_group, send_to_group, get_group @require_permission(level=Levels.OP, message="Permission denied!") async def sendmessage(bot: fido, channel: str, sender: str, args: List[str]...
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc import google.cloud.spanner.admin.database_v1.proto.spanner_database_admin_pb2 as google_dot_cloud_dot_spanner_dot_admin_dot_database__v1_dot_proto_dot_spanner__database__admin__pb2 import google.iam.v1.iam_policy_pb2 as google_dot_iam_d...
# https://www.codechef.com/problems/CHFMOT18 import math for _ in range(int(input())): s,n=map(int,input().split()) print(math.ceil((s-s%2)/n)+(s%2))
import math import os import os.path import numpy as np import cv2 as cv import torch import torch.nn as nn import torch.nn.functional as F import imageio from PIL import ImageFont, ImageDraw, Image from console_progressbar import ProgressBar import inference from utils import ScreenSpaceShading ###################...
""" Main program for robot. """ from pybricks import hubs from pybricks.geometry import Axis class Robot(hubs.PrimeHub): def __init__(self, name: str, front_side: Axis = Axis.X, top_side: Axis = Axis.Z): super.
import torch import numpy as np import torchvision from torchvision import datasets, models, transforms import PIL from PIL import Image from PIL import ImageFile import cv2 import imageio ImageFile.LOAD_TRUNCATED_IMAGES = True # Inference environment params. model = torch.load("SurfaceDamageDetectionModel") classes =...
#Project euler problem 10 #Problem link https://projecteuler.net/problem=10 def sumPrimes(n): sum, sieve = 0, [True] * n for p in range(2, n): if sieve[p]: sum += p for i in range(p * p, n, p): sieve[i] = False return sum print(sumPrimes(2000000))
#!/usr/bin/env python # -*- coding: utf-8 -*- # @author: x.huang # @date:28/05/19 import abc import hashlib import random from enum import Enum import requests from pypay import err from pypay.interfaces.GatewayApplicationInterface import GatewayApplicationInterface from pypay.util import xml_et_cdatasection as ET ...
""" Computes a TANGENT pulse shape with defined Start and End Supply d, b, and sp to silence Interaction W.T. Franks FMP Berlin Arguments: -sp:shaped pulse name -d : delta (+/- d%) -b : beta (curvature) -p : number of points (default 1000) "" -np: number of points -sc: number of points -name : specify name """ impor...
phone = input("Enter Phone number:)" digits_mapping = { "1": "One", "2": "Two", "3": "Three", "4": "Four", "5": "Five", "6": "Six", "7": "Seven", "8": "Eight", "9": "Nine", "0": "Zero" } output = "" for ch in phone: output += digits_mapping.get(ch, " ! ") + " " print(output)
# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2017-12-12 15:02 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('titles', '0004_auto_20171210_1512'), ] operations = [ migrations.CreateMode...
""" LINATE module: Compute (Latent) Ideological Embedding """ from sklearn.base import BaseEstimator, TransformerMixin from sklearn.preprocessing import StandardScaler import os.path import pandas as pd import numpy as np from scipy.sparse import csr_matrix, issparse # the user can specify the ideological embeddi...
import esphome.codegen as cg import esphome.config_validation as cv from esphome import pins from esphome.const import ( CONF_CLOCK_PIN, CONF_DATA_PIN, CONF_ID, CONF_NUM_CHANNELS, CONF_NUM_CHIPS, ) AUTO_LOAD = ["output"] sm16716_ns = cg.esphome_ns.namespace("sm16716") SM16716 = sm16716_ns.class_("S...
"""Dicionário Escreva uma list comprehension que crie um dicionário em que cada chave corresponde a um outro dicionário, contendo nome e a nota do aluno. NOTA: O nome e a nota podem ter valor None. """ d = { 'student_' + str(i): {'name': None, 'score': None} for i in range(3) } print(d)
"""Odata library.""" from .odata import ( Blueprint, Odata, OdataMixin, OdataSchema, ) __all__ = [ "Blueprint", "Odata", "OdataMixin", "OdataSchema", ]
import argparse import time import yaml import torch import torch.backends.cudnn as cudnn import torch.nn as nn import torch.nn.parallel import torch.optim import torch.utils.data import torchvision.datasets as datasets import torchvision.transforms as transforms from utils.profile import count_params from utils.data_a...
# Generated by Django 2.1.13 on 2020-01-14 19:54 from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('nablaforum', '0005_auto_20200104_1336'), ] operations = [ migrations.AlterField( model_name='c...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): """ Initial migrations """ dependencies = [ ] operations = [ migrations.CreateModel( name='AccessAttempt', fields=[ ...
#!/usr/bin/env python # DON'T USE THIS. IMPORT OMNI OMNI.OMNI_TO_SWMF. import datetime as dt import numpy as np from spacepy.pybats import ImfInput raise Exception("DON'T USE THIS YOU IDIOT.") def fix(arr, flag): ''' For data vector 'arr', interpolate (linearly) over all regions where the the bad data...
from fttcrypt import FTTCryptor key = "SecretKeyGoesHere" text="Secured to to be encrypted" # Encrypt a plain Text to Cipher cipherText = FTTCryptor.encryptText(text, key) print(cipherText) # Decrypt Cipher to Plain Text decryptedText = FTTCryptor.decryptText(cipherText, key) print(decryptedText) # Encrypt a file...
import click from ocrd.decorators import ocrd_cli_options, ocrd_cli_wrap_processor from .processor import OlaHdClientProcessor @click.command() @ocrd_cli_options def cli(*args, **kwargs): return ocrd_cli_wrap_processor(OlaHdClientProcessor, *args, **kwargs)
from django.core.files.uploadedfile import SimpleUploadedFile from rest_framework.test import APIClient from testing.testcases import TestCase from tweets.models import Tweet, TweetPhoto from utils.paginations import EndlessPagination # 注意要加 '/' 结尾,要不然会产生 301 redirect TWEET_LIST_API = '/api/tweets/' TWEET_CREATE_API ...
from django.apps import AppConfig class EnergySaverConfig(AppConfig): name = 'energy_saver'