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# Generated by Django 2.1.3 on 2018-12-01 22:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Eprint_users', '0011_auto_20181130_0119'), ] operations = [ migrations.AlterField( model_name='profile', name='image...
python
#!/usr/bin/env python """ Loop over a list of blog post src filenames and generate a blog index markdown file. """ import sys import os.path from datetime import datetime from utils import parse_metadata POST_TEMPLATE = """ --- ## [{title}]({htmlname}) ### {subtitle} {description} _{datestr}_ | [Read more...]({...
python
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.http import HttpResponse from django.shortcuts import render def home(request): """return HttpResponse('<h1>Hello, Welcome to this test</h1>')""" """Le chemin des templates est renseigne dans "DIRS" de "TEMPLATES" dans settings.py DONC P...
python
#!/usr/bin/env python # Copyright (c) 2013. Mark E. Madsen <mark@madsenlab.org> # # This work is licensed under the terms of the Apache Software License, Version 2.0. See the file LICENSE for details. """ Description here """ import logging as log import networkx as nx import madsenlab.axelrod.utils.configuration ...
python
#!/usr/bin/env python3 # coding:utf-8 class Solution: def maxInWindows(self, num, size): if num == []: return [] if len(num) < size: return [max(num)] res = [] queue = num[:size] res.append(max(queue)) for i in range(size, len(num)): ...
python
__all__=["greeters"] # *** # *** Use __init__.py to expose different parts of the submodules in the desired namespace # *** # *** Define what can be seen in the main "skeleton." namespace (as this is skeleton/__init__.py) like this: # from .greeters.fancy import * # now you can do: from skeleton import FancyHelloWo...
python
import iota_client # client will connect to testnet by default client = iota_client.Client() print(client.get_info())
python
from django.apps import AppConfig class SiteAdocaoConfig(AppConfig): name = 'site_adocao'
python
# Copyright 2019 Quantapix Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...
python
import aita if __name__ == "__main__": # Development, Testing, Production app = aita.create_app('Development') app.run()
python
import json from logging import root import os import warnings from skimage.color import rgb2lab, gray2rgb, rgba2rgb from skimage.util import img_as_float import numpy as np import numpy.typing as npt import torch from torch.utils.data import DataLoader import torch.optim as optim import torch.nn as nn from torch...
python
from functools import partial from PyQt5.QtCore import pyqtSignal, QTimer, Qt from PyQt5.QtWidgets import QInputDialog, QLabel, QVBoxLayout, QLineEdit, QWidget, QPushButton from electrum.i18n import _ from electrum.plugin import hook from electrum.wallet import Standard_Wallet from electrum.gui.qt.util import WindowM...
python
from data.scrapers import * import pandas as pd from wordcloud import WordCloud import matplotlib.pyplot as plt def model_run(model, freq='1111111', existing=None): scraper = model(freq) dfs = scraper.run() for df in dfs: existing.append(df) return existing def generate_wordcloud(text, year=...
python
import numpy as np from ..pakbase import Package class ModflowFlwob(Package): """ Head-dependent flow boundary Observation package class. Minimal working example that will be refactored in a future version. Parameters ---------- nqfb : int Number of cell groups for the hea...
python
# globals.py # Logic to get a list of the DBS instances available on DAS. # Currently hardcoding. There's probably a better way! instances = ['prod/global', 'prod/phys01', 'prod/phys02', 'prod/phys03', 'prod/caf']
python
from hashlib import sha1 from multiprocessing.dummy import Lock m_lock = Lock() z_lock = Lock() print(f"是否相等:{m_lock==z_lock}\n{m_lock}\n{z_lock}") # 地址不一样 m_code = hash(m_lock) z_code = hash(z_lock) print(f"是否相等:{m_code==z_code}\n{m_code}\n{z_code}") # 值一样 # Java可以使用:identityhashcode m_code = sha1(str(m_lock).enc...
python
import codecs import csv import json import os import random import sys directory = str(os.getcwd()) final_data = {"url": "http://10.10.0.112"} def getNumberRecords(): ''' Counts the number of username-password for admin.csv file Arguments: None Returns: number of username-pass...
python
# Copyright 2020 Yuhao Zhang and Arun Kumar. 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 app...
python
def ejercicio01MCM(): #Definir variables y otros print("--> EJERCICIO 01 <--") notaFinal=round(0.0) #Datos de entrada n1=float(input("Ingrese la 1ra nota: ")) n2=float(input("Ingrese la 2da nota: ")) n3=float(input("Ingrese la 2da nota: ")) n4=float(input("Ingrese la 4ta nota: ")) #Proceso notaFinal...
python
from __future__ import absolute_import from django.test import RequestFactory from exam import fixture from mock import patch from sentry.middleware.stats import RequestTimingMiddleware, add_request_metric_tags from sentry.testutils import TestCase from sentry.testutils.helpers.faux import Mock class RequestTimingM...
python
from django.conf.urls import url from django.urls import path from rest.quiklash import views from rest.push_the_buttons.views import PushTheButtonView urlpatterns = [ path('api/qa/game/start', views.QuicklashMainGame.as_view()), path('api/qa/question/new', views.QuiklashQuestionListView.as_view()), path('a...
python
# coding: utf-8 from __future__ import annotations from datetime import date, datetime # noqa: F401 import re # noqa: F401 from typing import Any, Dict, List, Optional # noqa: F401 from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401 from acapy_wrapper.models.indy_proof_requested_proof_predic...
python
# Basic training configuration file from pathlib import Path from torchvision.transforms import RandomVerticalFlip, RandomHorizontalFlip, CenterCrop from torchvision.transforms import RandomApply, RandomAffine from torchvision.transforms import ToTensor, Normalize from common.dataset import get_test_data_loader SEED ...
python
#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright 2021 Red Hat # GNU General Public License v3.0+ # (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) """ The module file for nxos_bgp_global """ from __future__ import absolute_import, division, print_function __metaclass__ = type DOCUMENTATION = """ modu...
python
print("merhaba") print("merhaba") print("merhaba") print("merhaba")
python
r""" Base class for polyhedra, part 6 Define methods related to plotting including affine hull projection. """ # **************************************************************************** # Copyright (C) 2008-2012 Marshall Hampton <hamptonio@gmail.com> # Copyright (C) 2011-2015 Volker Braun <vbraun.name...
python
import discord from discord.ext import commands import traceback import datetime import asyncio import random from datetime import datetime from storage import * pat_gifs = [ "https://cdn.discordapp.com/attachments/670153232039018516/674299983117156362/1edd1db645f55aa7f2923838b5afabfc863fc109_hq.gif", "https:/...
python
import Tkinter as tk import warnings VAR_TYPES = { int: tk.IntVar, float: tk.DoubleVar, str: tk.StringVar } class ParameterController(tk.Frame): def __init__(self,parent, key, value): tk.Frame.__init__(self, parent) self.value_type = type(value) self._var = VAR_TYPES[self.v...
python
import factory import factory.fuzzy from user.models import User from company.tests.factories import CompanyFactory class UserFactory(factory.django.DjangoModelFactory): sso_id = factory.Iterator(range(99999999)) name = factory.fuzzy.FuzzyText(length=12) company_email = factory.LazyAttribute( lam...
python
class Solution: def combine(self, n: int, k: int) -> List[List[int]]: # Using dfs to record all possible def dfs(nums, path=None, res=[]): if path is None: path = [] if len(path) == k: res += [path] return res for id...
python
from typing import Optional import requests from libgravatar import Gravatar from bs4 import BeautifulSoup def get_gravatar_image(email) -> Optional[str]: """Only will return a url if the user exists and is correct on gravatar, otherwise None""" g = Gravatar(email) profile_url = g.get_profile() res =...
python
patterns = ['you cannot perform this operation as root'] def match(command): if command.script_parts and command.script_parts[0] != 'sudo': return False for pattern in patterns: if pattern in command.output.lower(): return True return False def get_new_command(command): ...
python
import json import os from py2neo import Graph class GraphInstanceFactory: def __init__(self, config_file_path): """ init the graph factory by a config path. the config json file format example: [ { "server_name": "LocalHostServer", "se...
python
from datetime import datetime class mentions_self: nom = 'я'; gen = ['меня', 'себя']; dat = ['мне', 'себе'] acc = ['меня', 'себя']; ins = ['мной', 'собой']; abl = ['мне','себе'] class mentions_unknown: all = 'всех' him = 'его'; her = 'её'; it = 'это' they = 'их'; them = 'их'; us = 'нас' nam...
python
from flask import ( Blueprint, render_template, ) from sqlalchemy import desc, func, or_, text from .. import db from ..models import ( Video, Vote, GamePeriod, Reward, ) game = Blueprint( 'game', __name__, template_folder='templates' ) @game.route('/') def index(): q = """ ...
python
import torch import torch.nn.utils.rnn as rnn import numpy as np import pandas from torch.utils.data import Dataset from sklearn.preprocessing import LabelEncoder from parsers.spacy_wrapper import spacy_whitespace_parser as spacy_ws from common.symbols import SPACY_POS_TAGS import json import transformers from transfo...
python
# coding=utf-8 from selenium.webdriver.common.by import By from view_models import certification_services, sidebar, ss_system_parameters import re import time def test_ca_cs_details_view_cert(case, profile_class=None): ''' :param case: MainController object :param profile_class: string The fully qualifie...
python
#!/usr/bin/env python # -*- coding:utf-8 -*- # @Author: Niccolò Bonacchi # @Date: Thursday, January 31st 2019, 1:15:46 pm from pathlib import Path import argparse import ibllib.io.params as params import oneibl.params from alf.one_iblrig import create from poop_count import main as poop IBLRIG_DATA = Path().cwd().pare...
python
""" Flask-Limiter extension for rate limiting """ from ._version import get_versions __version__ = get_versions()['version'] del get_versions from .errors import ConfigurationError, RateLimitExceeded from .extension import Limiter, HEADERS
python
from foldrm import Classifier import numpy as np def acute(): attrs = ['a1', 'a2', 'a3', 'a4', 'a5', 'a6'] nums = ['a1'] model = Classifier(attrs=attrs, numeric=nums, label='label') data = model.load_data('data/acute/acute.csv') print('\n% acute dataset', np.shape(data)) return model, data de...
python
import tensorflow as tf # 本节主要讲 placeholder input1 = tf.placeholder(tf.float32) input2 = tf.placeholder(tf.float32) # 原教程中为 mul, 我使用的版本为 multiply output = tf.multiply(input1, input2) with tf.Session() as sess: print(sess.run(output, feed_dict={input1: [7.], input2: [2.]}))
python
'''Statistical tests for NDVars Common Attributes ----------------- The following attributes are always present. For ANOVA, they are lists with the corresponding items for different effects. t/f/... : NDVar Map of the statistical parameter. p_uncorrected : NDVar Map of uncorrected p values. p : NDVar | None ...
python
class SelectionSort: @staticmethod def sort(a): for i, v in enumerate(a): minimum = i j = i+1 while j < len(a): if a[j] < a[minimum]: minimum = j j += 1 tmp = a[i] a[i] = a[minimum] ...
python
# -*- coding: utf-8 -*- # @Time : 2019/1/18 15:40
python
# 정수를 저장하는 큐를 구현한 다음, 입력으로 주어지는 명령을 처리하는 프로그램을 작성하시오. # 명령은 총 여섯 가지이다. # push X: 정수 X를 큐에 넣는 연산이다. # pop: 큐에서 가장 앞에 있는 정수를 빼고, 그 수를 출력한다. 만약 큐에 들어있는 정수가 없는 경우에는 -1을 출력한다. # size: 큐에 들어있는 정수의 개수를 출력한다. # empty: 큐가 비어있으면 1, 아니면 0을 출력한다. # front: 큐의 가장 앞에 있는 정수를 출력한다. 만약 큐에 들어있는 정수가 없는 경우에는 -1을 출력한다. # back: 큐의 가장 뒤에 있는...
python
from clickhouse_orm import migrations from ..test_migrations import * operations = [migrations.AlterIndexes(ModelWithIndex2, reindex=True)]
python
from functools import partial import pytest from stp_core.loop.eventually import eventuallyAll from plenum.test import waits from plenum.test.helper import checkReqNack whitelist = ['discarding message'] class TestVerifier: @staticmethod def verify(operation): assert operation['amount'] <= 100, 'a...
python
import torch from torch import autograd def steptaker(data, critic, step, num_step = 1): """Applies gradient descent (GD) to data using critic Inputs - data; data to apply GD to - critic; critic to compute gradients of - step; how large of a step to take - num_step; how finely to discretize fl...
python
from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow import pickle import pprint import datefinder # What the program can access within Calendar # See more at https://developers.google.com/calendar/auth scopes = ["https://www.googleapis.com/auth/calendar"] flow = Installe...
python
# -*- coding: utf-8 -*- """binomial_mix. Chen Qiao: cqiao@connect.hku.hk """ import sys import warnings import numpy as np from scipy.special import gammaln, logsumexp from .model_base import ModelBase class MixtureBinomial(ModelBase): """Mixture of Binomial Models This class implements...
python
from keras.layers import Conv2D, SeparableConv2D, MaxPooling2D, Flatten, Dense from keras.layers import Dropout, Input, BatchNormalization, Activation, add, GlobalAveragePooling2D from keras.losses import categorical_crossentropy from keras.optimizers import Adam from keras.utils import plot_model from keras import cal...
python
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import import json from ..models import PermissionModel as Model from ..models import GroupPermissionModel from .base_dao import BaseDao class PermissionDao(BaseDao): def add_permission(self, permission): # 如果存在相同app codename,...
python
from itertools import permutations with open("input.txt") as f: data = [int(i) for i in f.read().split("\n")] preamble = 25 for d in range(preamble + 1, len(data)): numbers = data[d - (preamble + 1):d] target = data[d] sol = [nums for nums in permutations(numbers, 2) if sum(nums) == target] ...
python
import collections import pathlib import time from multiprocessing import Process from typing import Any, Callable, Dict, List, Optional, Tuple, Union from omegaconf import OmegaConf from gdsfactory import components from gdsfactory.config import CONFIG, logger from gdsfactory.doe import get_settings_list from gdsfac...
python
#!/usr/bin/env python import os import sys import logging import requests import time from extensions import valid_tagging_extensions from readSettings import ReadSettings from autoprocess import plex from tvdb_mp4 import Tvdb_mp4 from mkvtomp4 import MkvtoMp4 from post_processor import PostProcessor from logging.confi...
python
def do_print(): print "hello world" def add(a, b): return a + b def names_of_three_people(a, b, c): return a['name'] + " and " + b['name'] + " and " + c['name'] def divide(a, b): return a / b def float_divide(a, b): return float(a) / float(b) def func_return_struct(name, age, hobby1, hobb...
python
# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- from marshmallow import fields, post_load, validate from typing import Optional from ..schema import PatchedSchemaMeta from ..fields...
python
from typing import Union, List, Dict from py_expression_eval import Parser # type: ignore import math from . import error def add(num1: Union[int, float], num2: Union[int, float], *args) -> Union[int, float]: """Adds given numbers""" sum: Union[int, float] = num1 + num2 for num in args: ...
python
# # This file is part of DroneBridge: https://github.com/seeul8er/DroneBridge # # Copyright 2017 Wolfgang Christl # # 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.apac...
python
import errno import gc # from collections import namedtuple import math import os import os.path import time from functools import lru_cache from pathlib import Path import numpy as np import pandas as pd import artistools as at @lru_cache(maxsize=8) def get_modeldata(inputpath=Path(), dimensions=None, get_abundanc...
python
#Codeacademy's Madlibs from datetime import datetime now = datetime.now() print(now) story = "%s wrote this story on a %s line train to test Python strings. Python is better than %s but worse than %s -------> written by %s on %02d/%02d/%02d at %02d:%02d" story_name = raw_input("Enter a name: ") story_line = raw_inpu...
python
import logging import os import json from pprint import pformat import pysftp from me4storage.common.exceptions import ApiError logger = logging.getLogger(__name__) def save_logs(host, port, username, password, output_file): cnopts = pysftp.CnOpts(knownhosts=os.path.expanduser(os.path.join('~','.ssh','known_hos...
python
import builtins import traceback from os.path import relpath def dprint(*args, **kwargs): """Pre-pends the filename and linenumber to the print statement""" stack = traceback.extract_stack()[:-1] i = -1 last = stack[i] if last.name in ('clearln', 'finish'): return builtins.__dict__['oldp...
python
import config_cosmos import azure.cosmos.cosmos_client as cosmos_client import json from dateutil import parser def post_speech(speech_details, category): speech_details = speech_details.copy() collection_link = "dbs/speakeasy/colls/" + category speech_details["id"] = speech_details["user_name"] + "_" + sp...
python
#!/usr/bin/env python # Outputs the relative error in a particular stat for deg1 and deg2 FEM. # Output columns: # mesh_num medianEdgeLength deg1Error deg2Error import sys, os, re, numpy as np from numpy.linalg import norm resultDir, stat = sys.argv[1:] # Input data columns meshInfo = ["mesh_num", "corner_angle", "me...
python
""" Here we implement some simple policies that one can use directly in simple tasks. More complicated policies can also be created by inheriting from the Policy class """ import logging import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Categorical, Normal, Bernoulli c...
python
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('person', '__first__'), ] operations = [ migrations.CreateModel( name='Attendee', fields=[ ...
python
class GPSlocation: """used to translate the location system""" _prop_ = 'GPSlocation' import math pi = 3.1415926535897932384626 a = 6378245.0 ee = 0.00669342162296594323 def gcj02_to_wgs84(self, lng, lat): """GCJ02 system to WGS1984 system""" dlat = self._transformlat(lng - 1...
python
# -*- coding: utf-8 - import re import copy import urllib import urllib3 import string import dateutil.parser from iso8601 import parse_date from robot.libraries.BuiltIn import BuiltIn from datetime import datetime, timedelta import pytz TZ = pytz.timezone('Europe/Kiev') def get_library(): return BuiltIn().get_l...
python
import sys sys.path.append("C:\Program Files\Vicon\Nexus2.1\SDK\Python") import ViconNexus import numpy as np import smooth vicon = ViconNexus.ViconNexus() subject = vicon.GetSubjectNames()[0] print 'Gap filling for subject ', subject markers = vicon.GetMarkerNames(subject) frames = vicon.GetFram...
python
from jinja2 import DictLoader, Environment import argparse import json import importlib import random import string HEADER = """ #pragma once #include <rapidjson/rapidjson.h> #include <rapidjson/writer.h> #include <rapidjson/reader.h> #include <iostream> #include <string> #include <vector> #include <map> struct...
python
def summary(p,c=10,x=5): print('-' * 30) print(f'Value Summary'.center(30)) print('-' * 30) print(f'{"analyzed price:"} \t{coins(p)}') print(f"{'Half-price: '} \t{half(p, True)}") print(f'{"double the price: "}\t{double(p, True)}') print(f'{c}% {"increase: ":} \t{increase(p, c, True)...
python
from ._sha512 import sha384
python
from app import app, api from flask import request from flask_restful import Resource import json import pprint import os import subprocess import traceback import logging class WelcomeController(Resource): def get(self): return {'welcome': "welcome, stranger!"} api.add_resource(WelcomeController, '/')
python
import os from dotenv import dotenv_values config = { **dotenv_values(os.path.join(os.getcwd(), ".env")), **os.environ } VERSION = "0.0.0-alfa" APP_HOST = config['APP_HOST'] APP_PORT = int(config['APP_PORT']) APP_DEBUG = bool(config['APP_DEBUG'])
python
# -*- coding: utf-8 -*- """ Views for the stats application. """ # standard library # django # models from .models import Stat # views from base.views import BaseCreateView from base.views import BaseDeleteView from base.views import BaseDetailView from base.views import BaseListView from base.views import BaseUpdat...
python
"""Session class and utility functions used in conjunction with the session.""" from .session import Session from .session_manager import SessionManager __all__ = ["Session", "SessionManager"]
python
''' 046 Faça um programa que mostre na tela uma contagem regressiva para o estouro de fogos de artifício, indo de 10 até 0 , com um pausa de 1 seg entre eles''' from time import sleep for c in range(10, -1, -1): print(c) sleep(1) print('Fogos !!!!!')
python
#!/usr/bin/python # -*- coding: utf-8 -*- # Author: Shun Arahata """ Imitation learning environment """ import pathlib # import cupy as xp import sys import numpy as xp current_dir = pathlib.Path(__file__).resolve().parent sys.path.append(str(current_dir) + '/../mpc') sys.path.append(str(current_dir) + '/../') from ...
python
# -*- Python -*- # Copyright 2021 The Verible Authors. # # 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 la...
python
# https://github.com/ArtemNikolaev/gb-hw/issues/23 def run(array): return [ array[i] for i in range(1, len(array)) if array[i] > array[i-1] ] test_input = [300, 2, 12, 44, 1, 1, 4, 10, 7, 1, 78, 123, 55] print(run(test_input))
python
import glob from hdf5_getters import * import os import numpy as np from collections import Counter from music_utils import * tags_list = [] data_path = "/mnt/snap/data/" count = 0 for root, dirs, files in os.walk(data_path): files = glob.glob(os.path.join(root, '*h5')) #if count > 1000: break for f in fi...
python
#!/usr/bin/env python3 import time from data_output import DataOutput from html_downloader import HtmlDownloader from html_parser import HtmlParser __author__ = 'Aollio Hou' __email__ = 'aollio@outlook.com' class Spider: def __init__(self): self.downloader = HtmlDownloader() self.parser = HtmlPa...
python
from django import forms from .models import Project class ProjectForm(forms.ModelForm): class Meta: model = Project fields = ["title", "describe", "technology"]
python
#!/usr/bin/env python # encoding: utf-8 """Terminal UI for histdata_downloader project.""" import os import sys import logging import subprocess from datetime import date import time import npyscreen from histdata_downloader.logger import log_setup from histdata_downloader.histdata_downloader import load_available_p...
python
# Copyright (c) The PyAMF Project. # See LICENSE.txt for details. """ Jython example AMF server and client with Swing interface. @see: U{Jython<http://pyamf.org/wiki/JythonExample>} wiki page. @since: 0.5 """ import logging from wsgiref.simple_server import WSGIServer, WSGIRequestHandler from pyamf.remoting.gatewa...
python
from autodisc.systems.lenia.classifierstatistics import LeniaClassifierStatistics from autodisc.systems.lenia.isleniaanimalclassifier import IsLeniaAnimalClassifier from autodisc.systems.lenia.lenia import *
python
# MIT License # # Copyright (c) 2017 Anders Steen Christensen # # 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, mo...
python
import dash, os, itertools, flask from dash.dependencies import Input, Output, State import dash_core_components as dcc import dash_html_components as html from pandas_datareader import data as web from datetime import datetime as dt import plotly.graph_objs as go import pandas as pd from random import randint import p...
python
import tanjun import typing from hikari import Embed from modules import package_fetcher component = tanjun.Component() @component.with_command @tanjun.with_argument("repo_n", default="main") @tanjun.with_argument("arch_n", default="aarch64") @tanjun.with_argument("pkg_n", default=None) @tanjun.with_parser @tanjun.a...
python
# Copyright 2020 The FastEstimator Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...
python
import data from base import nbprint from tokenizer.main import run_tokenizer def check_requirements(info): # Check if tokens file exists if not data.tokenized_document_exists(info): # Run Tokenizer nbprint('Tokens missing.') run_tokenizer(info) # Check if it was successfull ...
python
#!/usr/bin/env python # -*- coding: utf-8 -*- ########################################################### # WARNING: Generated code! # # ************************** # # Manual changes may get lost if file is generated again. # # Only code inside the [MANUAL] ta...
python
import numpy as np a = input("enter the matrix with ; after each row : ") m =np.matrix(a) b = input("enter the matrix 2 with row matching with matrix 1 : ") n =np.matrix(b) print(m) print(n) m3 = np.dot(m,n) print(m3)
python
#//////////////#####/////////////// # # ANU u6325688 Yangyang Xu # Supervisor: Dr.Penny Kyburz # SPP used in this scrip is adopted some methods from : # https://github.com/yueruchen/sppnet-pytorch/blob/master/cnn_with_spp.py #//////////////#####/////////////// """ Policy Generator """ import torch.nn as nn from GAIL....
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#!/usr/bin/env python3 from __future__ import print_function import sys import os import time sys.path.append('..') import childmgt.ChildMgt def create_children(num_children=5): for child_num in range(0, num_children): child_pid = os.fork() if child_pid == 0: time.sleep(3) s...
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#!/usr/bin/env python import rospy from week2.srv import roboCmd, roboCmdResponse import math as np class Unicycle: def __init__(self, x, y, theta, dt=0.05): self.x = x self.y = y self.theta = theta self.dt = dt self.x_points = [self.x] self.y_points = [self.y] ...
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# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4 """ Get Jc, RA, etc from measured parameter DB BB, 2015 """ import sqlite3 import numpy as np import matplotlib.pyplot as plt # display units unit_i = 1e-6 # uA unit_v = 1e-6 # uV unit_r = 1 # Ohm unit_i1 = 1e-3 # mA; control I unit_v1 = 1e-3 # mV; cont...
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# # PySNMP MIB module ZHONE-COM-IP-DHCP-SERVER-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZHONE-COM-IP-DHCP-SERVER-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 21:40:42 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python vers...
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"""Implementation classes that are used as application configuration containers parsed from files. """ __author__ = 'Paul Landes' from typing import Dict, Set import logging import re import collections from zensols.persist import persisted from . import Configurable, ConfigurableError logger = logging.getLogger(__n...
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