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""" PyGirl Emulator Audio Processor Unit (Sharp LR35902 APU) There are two sound channels connected to the output terminals SO1 and SO2. There is also a input terminal Vin connected to the cartridge. It can be routed to either of both output terminals. GameBoy circuitry allows producing sound in four different ways:...
from Bio.Blast.Applications import NcbiblastpCommandline, NcbiblastnCommandline, NcbimakeblastdbCommandline class Blast: ''' class for each column of line from blast = 8 or blast+ = 6 ''' def __init__(self, line, q, db): blastSplit = line.split("\t") self.parsed = blastSplit ...
# Powered by https://newsapi.org # Import essentials import requests import json import os from pymessenger.bot import Bot from pymessenger import Element # Definitons class getNewsHeadlines: # Get news headlines from various news sources def __init__(self): self.inp = 'news_sources' self.o...
import json from mcoding_youtube.app_config import config from mcoding_youtube.youtube import paginated_results, get_authenticated_readonly_service def dump_json_to_file(obj, filename): with open(filename, 'w', encoding='utf-8') as f: json.dump(obj, f) def get_my_uploads_playlist_id(youtube): # see...
import numpy as np a = np.array([[1,-3,-2],[0,2,4],[0,0,-10]]) print("A :",a) b = np.array([7,4,12]) c = np.linalg.solve(a,b) print("C :",c)
class DataNotFound(RuntimeError): pass class DataError(RuntimeError): pass class InvalidAge(RuntimeError): pass class InvalidMeasurement(RuntimeError): pass
import os import sys import dynaconf def test_djdt_382(tmpdir): settings_file = tmpdir.join("settings.py") settings_file.write("\n".join(["SECRET_KEY = 'dasfadfds2'"])) tmpdir.join("__init__.py").write("") os.environ["DJANGO_SETTINGS_MODULE"] = "settings" sys.path.append(str(tmpdir)) __import...
""" Solve a problem with SLOPE and compare to R """ from __future__ import print_function import numpy as np import nose.tools as nt try: import rpy2.robjects as rpy rpy2_available = True import rpy2.robjects.numpy2ri from rpy2.robjects.packages import importr from rpy2 import robjects except Imp...
import math from annogesiclib.gff3 import Gff3Parser from annogesiclib.lib_reader import read_libs, read_wig def read_gff(input_file): datas = [] gff_parser = Gff3Parser() f_h = open(input_file, "r") for entry in gff_parser.entries(f_h): entry.attributes["print"] = False datas.append(e...
class Clock(object): def __init__(self): self.igt = None self.rta = None
from setuptools import setup package_name = 'cair_client' setup( name=package_name, version='0.0.0', packages=[package_name], data_files=[ ('share/ament_index/resource_index/packages', ['resource/' + package_name]), ('share/' + package_name, ['package.xml']), ], ins...
# 487. Max Consecutive Ones II # Runtime: 388 ms, faster than 37.74% of Python3 online submissions for Max Consecutive Ones II. # Memory Usage: 14.4 MB, less than 27.64% of Python3 online submissions for Max Consecutive Ones II. class Solution: # Linear Scan def findMaxConsecutiveOnes(self, nums: list[int])...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jan 23 16:15:51 2018 @author: jean-mi """ import IsochroneClass as IC import sys sys.path.append("../model") from weatherTLKT import Weather import numpy as np import simulatorTLKT as SimC from simulatorTLKT import Simulator import matplotlib.pyplot as...
# This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.7 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info if version_info >= (2, 6, 0): def swig_import_helper(): from os.path imp...
#!/usr/bin/env monkeyrunner import time ...
"""Authentication & Authorization.""" from conduit.auth.models import User from pyramid.authorization import ACLAuthorizationPolicy from pyramid.config import Configurator from pyramid.request import Request from pyramid.security import Allow import typing as t def includeme(config: Configurator) -> None: """Py...
from functools import wraps from sqlalchemy.exc import SQLAlchemyError from sqlalchemy.ext.compiler import compiles from sqlalchemy.sql import expression from sqlalchemy.types import DateTime from pygmy.config import config def dbconnection(func): @wraps(func) def _wrapped(*args, **kwargs): try: ...
import asyncio import random import sqlite3 from pathlib import Path import aiosqlite import pytest from achi.consensus.blockchain import Blockchain from achi.full_node.block_store import BlockStore from achi.full_node.coin_store import CoinStore from achi.util.db_wrapper import DBWrapper from tests.setup_nodes impor...
"""Estimates the semilinear Choo and Siow homoskedastic (2006) model using Poisson GLM. """ from typing import Optional from math import sqrt import numpy as np import scipy.linalg as spla import scipy.sparse as spr from sklearn import linear_model from .matching_utils import Matching, _make_XY_K_mat, _variance_muhat...
# Copyright 2010 United States Government as represented by the # Administrator of the National Aeronautics and Space Administration. # 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 ...
import csv import hashlib import io import os import random import re import time from functools import partial from multiprocessing import current_process from typing import Dict from urllib.parse import urlparse from django.conf import settings from django.core.exceptions import ImproperlyConfigured import requests...
import cv2 import numpy as np img = cv2.imread("ferrari.jpg", 0) row, col = img.shape M = np.float32([[1, 0, 53], [0, 1, 35]]) dst = cv2.warpAffine(img, M, (row, col)) cv2.imshow("dst", dst) cv2.waitKey(0) cv2.destroyAllWindows()
import networkx as nx from Bio import SeqIO G = nx.DiGraph() seq_DNA = {} for seq_record in SeqIO.parse("rosalind_grph.txt", "fasta"): G.add_node(seq_record.id) seq_DNA[seq_record.id] = str(seq_record.seq) for i in seq_DNA.keys(): for j in seq_DNA.keys(): if i != j: if seq_DNA[i][-3:...
#!/usr/bin/python2.6 ''' ### SEYED YAHYA NIKOUEI dns2proxy for offensive cybersecurity v1.0 python dns2proxy.py -h for Usage. Example: python2.6 dns2proxy.py -i eth0 -u 192.168.1.101 -d 192.168.1.200 Example for no forwarding (only configured domain based queries and spoofed hosts): python2.6 dns2proxy.py -i et...
import asyncio import functools def futurized(o): ''' Makes the given object to be awaitable. :param any o: Object to wrap :return: awaitable that resolves to provided object :rtype: asyncio.Future Anything passed to :code:`futurized` is wrapped in :code:`asyncio.Future`. This makes it await...
from items.Item import Item, Cool_Down_Item from items.Amplifying_Tome import Amplifying_Tome class Fiendish_Codex(Item, Cool_Down_Item): def __init__(self): Item.__init__(self, name='Fiendish Codex', code=3108, cost=900, sell=630) self.sub_items = [Amplifying_Tome()] def stats(self, champ): champ.ap_dmg += 3...
class SingletonMeta(type): def __getattr__(cls, name): return (super() if name == "INSTANCE" else cls.INSTANCE).__getattribute__(name) def __setattr__(cls, name, value): (super() if name == "INSTANCE" else cls.INSTANCE).__setattr__(name, value) class Singleton(metaclass = SingletonMeta): def ...
import plt_tools import numpy as _np def clouds(): bmax = plt_tools.colors.Color((0 ,0 ,0.1)) bmin = plt_tools.colors.Color((0 ,0 ,1)) colors = _np.array([bmin.rgb , bmax.rgb]) cmap = plt_tools.colormap.creat_cmap(colors=colors, norm = 'linear', log_min= 0.1, ...
from api.models.attachments import Attachment # noqa: F401 from api.models.platform_settings import PlatformPost # noqa: F401 from api.models.publications import Publication # noqa: F401
from __future__ import generator_stop from typing import Tuple from genutility.fileformats.srt import MalformedFile, SRTFile from plug import Filetypes @Filetypes.plugin(["srt"]) class SRT(object): def __init__(self): pass def validate(self, path, ext): # type: (str, str) -> Tuple[int, str] try: with ...
#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: Donny You(youansheng@gmail.com) # Loss function for Semantic Segmentation. import torch import torch.nn as nn import torch.nn.functional as F class FSCELoss(nn.Module): def __init__(self, configer=None): super(FSCELoss, self).__init__() self...
# Crowdsrc imports from crowdsrc.src.models import * from crowdsrc.src.serializers import * from crowdsrc.settings import CREATE, DELETE from .views import * # Django imports from django.db.models import Count, Prefetch from rest_framework.generics import GenericAPIView, ListAPIView, UpdateAPIView from rest_framework....
import logging from dataclasses import dataclass from pathlib import PurePath from pants.core.goals.package import BuiltPackage, BuiltPackageArtifact from pants.core.util_rules.external_tool import (DownloadedExternalTool, ExternalToolRequest) from pants.core.util_rules...
import logging import os import threading import webbrowser from typing import Any, Dict, List import toml import typer import uvicorn from fps_uvicorn.config import UvicornConfig from fps.config import Config from fps.logging import configure_loggers, get_loggers_config from fps.utils import merge_dicts app = typer...
#!/usr/bin/env python3 # Copyright 2017 Jian Wang # License: Apache 2.0. import os import argparse import sys sys.stdout = open(1, 'w', encoding='latin-1', closefd=False) import re tab_or_space = re.compile('[ \t]+') parser = argparse.ArgumentParser(description="This script get a vocab from unigram counts " ...
import os import pytest from datadog_checks.dev import docker_run from .common import INSTANCES HERE = os.path.dirname(os.path.abspath(__file__)) DOCKER_DIR = os.path.join(HERE, 'docker') @pytest.fixture(scope='session', autouse=True) def dd_environment(): flavor = os.getenv('FLAVOR', 'default') instance =...
from ..api import get_many, ApiVersion, int_field, date_field from datetime import date from typing import Iterator, List, Optional class OckovaniDistribuceSklad: """ Přehled distribuce očkovacích látek v ČR z centrálního skladu Datová sada obsahuje přehled distribuce očkovacích látek proti onemocnění COVID-1...
from sklearn.utils import all_estimators from sklearn.utils.estimator_checks import _construct_instance from sklearn.utils._testing import SkipTest from docutils import nodes from contextlib import suppress from docutils.parsers.rst import Directive class AllowNanEstimators(Directive): @staticmethod def make...
# -------------- import pandas as pd from sklearn.model_selection import train_test_split #path - Path of file # Code starts here df=pd.read_csv(path) X=df.drop(['customerID','Churn'], 1).copy() y=df.Churn X_train,X_test,y_train,y_test=train_test_split(X, y, test_size = 0.3, random_state = 0) # -------------- imp...
from unet3d.config import load_config import os import torch import torch.nn as nn import datetime from datasets.hdf5 import BratsDataset from unet3d.model import get_model from unet3d import utils from tensorboardX import SummaryWriter from visualization import board_add_images, board_add_image def get_job_name(): ...
import mock import unittest from tests.tests_data import fake_talk_json from tests.tests_data import fake_empty_talk_json from worker.api import API def mocked_requests_get(*args, **kwargs): class MockResponse: def __init__(self, json_data, status_code): self.json_data = json_data ...
from __future__ import print_function, division from evoltier.optimizer import Optimizer from evoltier.model.bernoulli import Bernoulli class BernoulliNaturalGradientOptimizer(Optimizer): def __init__(self, weight_function, lr, distribution=None, dim=None): if dim is None and distribution is None: ...
# 802.1X Authentication
class Solution: def mergeAlternately(self, word1: str, word2: str) -> str: x="" k=0 while k<(min(len(word1),len(word2))): x+=word1[k]+word2[k] k+=1 if word1: x+=word1[len(word2):] if word2: x+=word2[len(word1):] return x...
expected_output = { "acl": { "acl_name": {"total_aces_configured": 1}, "ipv4_ext": {"total_aces_configured": 0}, }, "attachment_points": { "Ethernet1/1": { "egress": { "ipv4_acl": { "total_aces_configured": 3, "activ...
""" # Definition for a Node. class Node: def __init__(self, val=None, children=None): self.val = val self.children = children if children is not None else [] """ class Solution: def findRoot(self, tree: List['Node']) -> 'Node': node_indegree = {} for node in tr...
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. # A copy of the License is located at # # http://www.apache.org/licenses/LICENSE-2.0 # # or in ...
# undervolt.py """ Undervolt related stuff """ import os import sys import pathlib import argparse import thinkpad_tools_assets.classes from thinkpad_tools_assets.utils import ApplyValueFailedException, NotSudo try: if os.getuid() != 0: raise NotSudo("Script must be run as superuser/sudo") except NotSud...
from flask import Flask, render_template, redirect, url_for, request, flash from sqlalchemy import Column, Integer, String, ForeignKey, Text, DateTime from flask.ext.sqlalchemy import SQLAlchemy from flask.ext import wtf from flask.ext.login import LoginManager, login_required, UserMixin, login_user, logout_user from d...
# Automagic LatLong Stereo for Maxwell Studio # -------------------------------------------- # 2015-11-30 9:15 am v0.3 # By Andrew Hazelden # Email: andrew@andrewhazelden.com # Blog: http://www.andrewhazelden.com # Description # ----------- # The automagicLatLongStereo.py script is used to quickly prepare your Maxwel...
#!/usr/bin/env python3 import numpy as np import torch from itypes import TorchStruct device = torch.device('cuda:0') print() s = TorchStruct(dims="hwc") s.x = torch.tensor([[[1, 2, 3], [4, np.nan, np.inf]]], device=device) s.y = TorchStruct(dims="hwc") s.y.z = torch.tensor([[7, 8, 9], [10, np.nan, np.inf]], device=...
import pygame as pg import logging from random import randint from flappy.configs.configs import Configs from flappy.controlador.pg_utils import carregar_sprites, som from flappy.entidades.flappy import Flappy from flappy.entidades.score import Score from flappy.entidades.terreno import Terreno from flappy.entidades.ca...
from django.contrib import admin from . import models @admin.register(models.Cabinet) class CabinetAdmin(admin.ModelAdmin): list_display_links = ('cabinet_number', ) search_fields = ('cabinet_number', ) list_filter = ('cabinet_set__branch', ) list_display = ('id', 'cabinet_number', 'cabinet_set', ...
import numpy as np #https://numpy.org/ import chemparse #https://pypi.org/project/chemparse/ from mendeleev import element #https://github.com/lmmentel/mendeleev version = 0.12 date = "02/2022" def printHelp(): '''Print the help dialog''' print('================= Manuca Help =================') print('Usa...
"""Definition of command codes used in communication with APNs.""" NOTIFICATION = 2 ERROR_RESPONSE = 8
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from...
# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals import requests from addthis.exceptions import AddthisError, AddthisValidationError class Addthis(object): """Base class that keeps authentication parameters and instantiates an ``AddthisEndpoint`` object. """ def __ini...
# Please run bert-serving-start before running this notebook # Setup: https://github.com/hanxiao/bert-as-service # Examples (change folders to your locals) # english cased: bert-serving-start -model_dir /bert-as-service/cased_L-24_H-1024_A-16/ -num_worker=4 # multi cased: bert-serving-start -model_dir /bert-as-service/...
from machine import Pin, I2C from neopixel import NeoPixel from time import sleep, ticks_ms, ticks_diff import framebuf import gc import sh1106 # Wemos pins - for our and our users' convenience D0 = const(16) D1 = const(5) D2 = const(4) D3 = const(0) D4 = const(2) D5 = const(14) D6 = const(12) D7 = const(13) D8 = con...
# https://deeplearningcourses.com/c/artificial-intelligence-reinforcement-learning-in-python # https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python #from __future__ import print_function, division #from builtins import range # Note: you may need to update your version of future # sudo pip inst...
# -*- coding: utf-8 -*- """Test the evaluators.""" import dataclasses import logging import unittest from typing import Any, ClassVar, Dict, Mapping, Optional, Tuple, Type import torch from pykeen.datasets import Nations from pykeen.evaluation import Evaluator, MetricResults, RankBasedEvaluator, RankBasedMetricResu...
# -*- coding: utf-8 -*- import socket from threading import Lock def public_ipv4(): """ take first public interface sorted by getaddrinfo - see RFC 3484 should have the real public IPv4 address as first address. At the moment the test layer is not able to handle v6 addresses """ for addri...
# -*- coding: utf8 -*- """ This is part of shot detector. Produced by w495 at 2017.05.04 04:18:27 """ from __future__ import absolute_import, division, print_function from .base_shot_detector import BaseShotDetector class CommonDetector(BaseShotDetector): """ ... """ pass
#!/usr/bin/env python # -*- coding: utf-8 -*- # 3rd party imports from matplotlib.transforms import TransformedBbox, blended_transform_factory from mpl_toolkits.axes_grid1.inset_locator import (BboxPatch, BboxConnector, BboxConnectorPatch) __author__ = "Louis Richard...
def test_concurrent_fixture(testdir): testdir.makepyfile(""" import pytest import time from six import print_ @pytest.fixture def driver(request): fn_name = request.function.__name__ if fn_name == 'test_1': time.sleep(.05) ...
import torch.nn as nn import torch from ..modeling.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d def init_params(models, mode='xv'): assert mode in {'xv', 'net2net'} if not isinstance(models, list): models = [models] for model in models: for m in model.modules(): if isinstance(m, (nn.C...
def parse_delaunay(fname): import h5py import numpy res = {} with h5py.File(fname,'r+') as f: for field in f: res[field] = numpy.array(f[field]) res['facets'] = numpy.reshape(res['triangles'],(-1,3)) return res def locate_point(x_list, y_list, xp, yp, tol = 1e-10): im...
import numpy as np import scipy.stats as stats import matplotlib.pyplot as plt import util import copy def merge(a, b, idx=None): i = 0 j = 0 n = len(a) m = len(b) c = [] while i < n and j < m: if a[i] <= b[j]: c.append(a[i]) if idx is not None: i...
#!/usr/bin/env python3 import PySimpleGUI as sg # This example would work great as A desktop # double-click executable in windows. Just # create shortcut(send-to Desktop) this file, # and run it using pythonw.exe(no prompt) instead # of python.exe(or open-with). # Change default in files properties. # Two arguments a...
"""phial Slack Bot.""" from phial.bot import Phial from phial.globals import command from phial.scheduler import Schedule from phial.wrappers import Attachment, Message, PhialResponse, Response __version__ = "0.10.1" __all__ = [ "Phial", "command", "Response", "Attachment", "Schedule", "Message...
from CGSearchRace.Unit import Unit class Checkpoint(Unit): def __init__(self, x, y): super().__init__(x, y)
from . import sparsematrix import numpy as np import numpy.random as npr import scipy as sp import scipy.sparse from . import simplefac import sys import tensorflow as tf def test_sparse(): A=npr.randn(30,42) A[npr.randn(*A.shape)>0]=0 A=sp.sparse.csr_matrix(A) A2=sparsematrix.SparseMatrix.from_scipy_s...
""" フォントリスト表示 """ import tkinter as tk from tkinter.constants import HORIZONTAL, VERTICAL import tkinter.font import sys class FontLib(): """ フォントリスト表示用クラス """ def __init__(self, text:str="sample サンプル ", font_size:int=14) -> None: """ コンストラクタ Args: str: 出力文字 ...
import discord import pytest import discord.ext.test as dpytest @pytest.mark.asyncio async def test_message(bot): guild = bot.guilds[0] channel = guild.text_channels[0] await channel.send("Test Message") @pytest.mark.asyncio async def test_embed(bot): guild = bot.guilds[0] channel = guild.text_...
from django.db import models from django.contrib.auth.models import ( AbstractBaseUser, BaseUserManager ) import datetime """ CITIES AND COUNTRIES 1. cities = > name country longitude latitude 2. countries = > name iso1 iso2 phone currency """ class Country(models.Model): name = models.CharField(max_lengt...
#!/usr/bin/env python # -*- coding:utf-8 -*- import json from os import path import requests from settings import ES_HOST as HOST from settings import INDEX # (unguarded) singleton for lazy init MAPPINGS = None def delete_index(host, index_name): index_res = requests.delete(path.join(host, index_name)) if n...
import Core.Projection as core import numpy as np def getRaw2D(points, view): points2d = [] for el in points: points2d.append(el.get2d(view)) raw = [] for el in points2d: raw.append([el.x, el.y]) return np.array(raw, dtype=np.int64) class AnchorPointsManager: def __init__(se...
from compas_ags.diagrams import FormDiagram from compas_ags.diagrams import ForceDiagram from compas_igs.rhino import Scene from compas.rpc import Proxy import compas_rhino from compas_igs.utilities import compute_force_drawinglocation from compas_igs.utilities import compute_force_drawingscale from compas_igs.utiliti...
from unittest import TestCase from Interpretator import * class InterpretatorTest(TestCase): def testEmpty(self): pass
#!/usr/bin/env python """ @file coi-services/mi/idk/platform/driver_generator.py @author Bill French @brief Generate directory structure and code stubs for a driver """ __author__ = 'Bill French' __license__ = 'Apache 2.0' import os import sys import re from string import Template import random import string import...
from dexy.exceptions import UserFeedback from dexy.filters.git import repo_from_path from dexy.filters.git import repo_from_url from dexy.filters.git import generate_commit_info from tests.utils import assert_in_output from tests.utils import runfilter from tests.utils import tempdir from nose.exc import SkipTest impor...
import warnings from functools import partial from typing import Any, Optional, Union from torchvision.transforms.functional import InterpolationMode from ....models.quantization.inception import ( QuantizableInception3, _replace_relu, quantize_model, ) from ...transforms.presets import ImageNetEval from ...
# TEST GPU SET UP via commands ''' run commands below: 1. nvcc -V --> nvidia cuda compiler driver 2. nvidia-smi --> about GPU cudNN version can be found at C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\cudnn.h as below: #define CUDNN_MAJOR 7 #define CUDNN_MINOR 6 #define CUDNN_PATCHL...
import asyncio import inspect async def main(): pass print(type(main)) print(inspect.iscoroutinefunction(main)) print(type(main())) print(dir(main()))
from typing import Iterable from django.db import models from django.contrib.auth.models import User class Player(models.Model): address = models.CharField(max_length=200) city = models.CharField(max_length=200) state = models.CharField(max_length=2) zipcode = models.CharField(max_length=10) home...
import logging import logging.handlers import os import os.path import exiftool import numpy as np import requests from scipy.spatial import distance import ownphotos.settings logger = logging.getLogger("ownphotos") fomatter = logging.Formatter( "%(asctime)s : %(filename)s : %(funcName)s : %(lineno)s : %(levelna...
import urllib.request, urllib.error, urllib.parse from bs4 import BeautifulSoup import string import json import requests import calendar def _getVanilla(): url = "https://launchermeta.mojang.com/mc/game/version_manifest.json" f = json.loads(requests.get(url).text) versions = [] for v in f['versions'...
# Copyright (c) 2022 PaddlePaddle 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 appli...
class Caesar: def __init__(self, shift): self.shift = shift def crypt(self, inputString, decrypt=False): message = [ord(c) for c in inputString] result = [] for i in range(len(message)): if decrypt: result.append((message[i] - self.shift)%111...
# warncheck.py # import warnings import unittest from sys import version_info from dicom.test.version_dep import capture_warnings def assertWarns(self, warn_msg, function, *func_args, **func_kwargs): """ Check that the function generates the expected warning with the arguments given. warn_msg -- part...
import time #This class is a singletion class #timer: calcualte the time elasepd between each 2 call #In this project is used to calculte the fps of the video #or camear, and the fps of captured face frame class timer(): __instance = None @staticmethod def timerInstance(): if timer.__instance ...
from google.appengine.ext import db from catnado.properties.key_property import KeyProperty class UniquePropertyRecordExistsError(Exception): """Raise when attempting to create a property that already exists.""" pass class UniquePropertyRecord(db.Model): """Datastore model for keeping particular properties ...
import tempfile from dffml.record import Record from dffml.source.source import Sources from dffml import train, accuracy, predict from dffml.util.asynctestcase import AsyncTestCase from dffml.source.memory import MemorySource, MemorySourceConfig from dffml_model_transformers.qa.qa_model import QAModel, QAModelConfig ...
"""Main file N-word Counter bot """ import os from json import load from pathlib import Path import discord from discord.ext import commands # Fetch bot token. with Path("../config.json").open() as f: config = load(f) TOKEN = config["DISCORD_TOKEN"] # Me and my alt account(s). owner_ids = (354783154126716938, ...
import heapq from collections import namedtuple Node = namedtuple('Node', ('weight','index')) def read_file(name): """Given the path/name of the text file, return the heap with nodes. """ tree = [] file = open(name, 'r') data = file.readlines() for index, line in enumerate(data[...
from typing import Optional, List from rlai.actions import Action from rlai.meta import rl_text @rl_text(chapter='States', page=1) class State: """ State. """ def is_feasible( self, a: Action ) -> bool: """ Check whether an action is feasible from the curr...
# This work was created by participants in the DataONE project, and is # jointly copyrighted by participating institutions in DataONE. For # more information on DataONE, see our web site at http://dataone.org. # # Copyright 2009-2019 DataONE # # Licensed under the Apache License, Version 2.0 (the "License"); # you ma...
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class UnfreezeOrderDetail(object): def __init__(self): self._alipay_order_no = None self._create_time = None self._memo = None self._merchant_order_no = None sel...
import langbrainscore import xarray as xr from langbrainscore.interface.encoder import _Encoder class BrainEncoder(_Encoder): """ This class is used to extract the relevant contents of a given `langbrainscore.dataset.Dataset` object and maintains the Encoder interface. """ def __init__(self) -> "...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...