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import os from distutils.core import setup from distutils.command.install import INSTALL_SCHEMES app_name = 'templatesadmin' version = __import__(app_name).__version__ # Tell distutils to put the data_files in platform-specific installation # locations. See here for an explanation: # http://groups.google.com/group/co...
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# 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 ...
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# -*- coding: utf-8 -*- """ flask envs, based on flask_environments ~~~~~~~~~~~~~~~~~~ Environment tools and configuration for Flask applications :copyright: (c) 2012 by Matt Wright. :license: MIT, see LICENSE for more details. """ import os import yaml from flask import current_app class Envi...
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"""Transformer for Weisfeiler—Lehman Feature Vector calculations.""" # This code was originally used in the paper 'A Persistent Weisfeiler–Lehman # Procedure for Graph Classification'. The original author is Christian Bock. import collections import copy import numpy as np class WeisfeilerLehman: """Implement ...
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import logging from easilyb.json_min_db import JsonMinConnexion from threading import Lock logger = logging.getLogger(__name__) NOTHING = object() def get_config_path(filename='config.yaml', appname=None, appauthor=None, appversion=None, dirpath=None, app_root_config=None, user_config=None, syste...
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import heterocl as hcl import numpy as np from hlib.op.extern import create_extern_module, register_extern_ip import os dtype = hcl.Int() @register_extern_ip(vendor="intel") def byte_swap_rtl(input_vec, ret=None, name=None): if name is None: name = "my_byteswap" Len = input_vec.shape[0] return_tensors =...
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"""The Flick Electric integration.""" from datetime import datetime as dt from pyflick import FlickAPI from pyflick.authentication import AbstractFlickAuth from pyflick.const import DEFAULT_CLIENT_ID, DEFAULT_CLIENT_SECRET from homeassistant.config_entries import ConfigEntry from homeassistant.const import ( CON...
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# -*- coding: utf-8 -*- # # Jedi documentation build configuration file, created by # sphinx-quickstart on Wed Dec 26 00:11:34 2012. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All co...
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from discord.ext import commands import os import traceback bot = commands.Bot(command_prefix='/') token = os.environ['DISCORD_BOT_TOKEN'] @bot.event async def on_command_error(ctx, error): orig_error = getattr(error, "original", error) error_msg = ''.join(traceback.TracebackException.from_exception(orig_err...
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import os ################ MAKE CHANGES HERE ################# inputDir = "input" # path to the input sequence PNGs inputFileFormat = "%03d" # name of input files, e.g., %03d if files are named 001.png, 002.png inputFileExt = "png" # extension of input files (without .), e.g., png, jpg f...
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"""options table constraint Revision ID: b531c6dadfcf Revises: 8af57a53dc4e Create Date: 2019-11-15 17:22:40.911136 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'b531c6dadfcf' down_revision = '8af57a53dc4e' branch_labels = None depends_on = None def upgrad...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import os import time from src import InstaBot from src.check_status import check_status from src.feed_scanner import feed_scanner from src.follow_protocol import follow_protocol from src.unfollow_protocol import unfollow_protocol bot = InstaBot( login="ti...
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import gym class ContinuingTimeLimit(gym.Wrapper): """TimeLimit wrapper for continuing environments. This is similar gym.wrappers.TimeLimit, which sets a time limit for each episode, except that done=False is returned and that info['needs_reset'] is set to True when past the limit. Code that cal...
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# %% [markdown] # # Inequality constraints # %% import numpy as np import tensorflow as tf np.random.seed(1799) tf.random.set_seed(1799) # %% [markdown] # ## The problem # # In this tutorial, we replicate one of the results of <cite data-cite="gardner14">[Gardner et al.](http://proceedings.mlr.press/v32/gardner14.ht...
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# Copyright 2015 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
the-stack_106_23593
from setuptools import setup with open('README.rst') as f: long_description = f.read() setup( name="gfwlist2dnsmasq", version="0.1.0", license='MIT', description="convert gfwlist to dnsmasq config file", author='nucbill', author_email='nucbill100@gmail.com', url='https://github.com/nuc...
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from rest_framework import serializers from .models import User, Photo """ Code from: http://stackoverflow.com/questions/28036404/django-rest-framework-upload-image-the-submitted-data-was-not-a-file#28036805 """ class Base64ImageField(serializers.ImageField): """ A Django REST framework field for handling imag...
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import torch import torch.nn.functional as F from torchvision import models import numpy as np import cv2 import os, sys from torchsummary import summary ######## config ############# test_images_path = sys.argv[1] classes = ('chair', 'people') input_shape = (3, 224, 224) cards_id = [2, 3] param_save_path = sys.argv[2...
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# pulled from the AWSCLI and modified by Globus # note that this file has also been modified by auotfixers (e.g. black, pyupgrade) # Copyright 2012-2014 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 com...
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import pytest from eth_utils import ( ValidationError, ) from eth2.beacon.committee_helpers import ( get_beacon_proposer_index, ) from eth2.beacon.configs import ( CommitteeConfig, ) from eth2.beacon.helpers import ( get_epoch_start_slot, ) from eth2.beacon.types.blocks import ( BeaconBlockBody, )...
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"""Prepare a workflow for running on AWS using STORMSeq as a front end. http://www.stormseq.org/ """ import argparse import json import os import yaml from bcbio import utils from bcbio.upload import s3 from bcbio.workflow import xprize def parse_args(args): parser = xprize.HelpArgParser(description="Run STORMS...
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"""Contains ECG Batch class.""" # pylint: disable=too-many-lines import copy from textwrap import dedent import numpy as np import pandas as pd import scipy import scipy.signal import matplotlib.pyplot as plt import pywt from .. import dataset as ds from . import kernels from . import ecg_batch_tools as bt from .uti...
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## @package gradient_checker # Module caffe2.python.gradient_checker from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import numpy as np from caffe2.python import core, workspace from caffe2.proto import caffe2_pb2 c...
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## ## MIT License ## ## Copyright (c) 2016 Luca Angioloni ## ## 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,...
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vowels = 'aiyeou' consonants = 'bkxznhdcwgpvjqtsrlmf' ans = '' while True: try: text = input() for t in text: lowerT = t.lower() if lowerT in vowels: tmp = vowels[(vowels.index(lowerT) + 3) % 6] ans += tmp.upper() if t.isupper() else tmp ...
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#!/usr/bin/python # Representation of logic circuit as AIG import sys class AigRef: node = None negate = False def __init__(self, node, negate): self.node = node self.negate = negate def encode(self): return 2 * self.node.id + (1 if self.negate else 0) def isZero(self):...
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import time import numpy as np import cudarray as ca from ..feed import Feed from ..parameter import SharedParameter import logging log = logging.getLogger(__name__) class GradientDescent(object): def __init__(self, model, feed, learn_rule): self.feed = Feed.from_any(feed) self.learn_rule = learn...
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# -*- coding: utf-8 -*- # Copyright (c) 2015, Mayo Clinic # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # Redistributions of source code must retain the above copyright notice, this # list...
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import discord import src.commands as cmd import src.config as cfg from .log import logger client = discord.Client() @client.event async def on_ready(*args, **kwargs) -> None: logger.info('discord ready') @client.event async def on_message(message: discord.Message) -> None: if message.author.id == client.us...
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#!/usr/bin/env python3 # Copyright (c) 2014 Wladimir J. van der Laan # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. ''' Run this script from the root of the repository to update all translations from transifex. It will do the foll...
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import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="youtubedata", version="1.1.1", author="ofc", author_email="support@youtubedata.io", description="YouTube Data provides comprehensive YouTube video metadata scraping. Results are returned i...
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from __future__ import absolute_import import logging import six from django.core.context_processors import csrf from django.core.urlresolvers import reverse from django.http import HttpResponseRedirect from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_protect from dja...
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from django.contrib.auth import get_user_model from django.core.management import call_command from qcat.tests import TestCase User = get_user_model() def create_new_user(id=1, email='a@b.com', lastname='foo', firstname='bar'): user, created = User.objects.get_or_create( id=id, email=email, defau...
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from typing import ( Iterator, NamedTuple, ) from async_service import ( as_service, ManagerAPI, ) from eth_utils import to_tuple import psutil from p2p import trio_utils from trinity.components.builtin.metrics.registry import HostMetricsRegistry from trinity.exceptions import MetricsReportingError ...
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"""The actual implementation.""" import os from typing import List from docutils import nodes from docutils.parsers.rst import directives from sphinx.transforms.post_transforms import SphinxPostTransform from sphinx.util.docutils import SphinxDirective from sphinx.util.nodes import NodeMatcher def setup(app): "...
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''' Module : Main Description : The main entry point for the program. Copyright : (c) Bernie Pope, 16 Oct 2019 License : MIT Maintainer : bjpope@unimelb.edu.au Portability : POSIX A plotting and data analytics program for the command line ''' import sys import logging import pandas as pd from hatch.com...
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import random from collections import ( deque, namedtuple, ) import numpy as np import torch class ReplayBuffer: """Fixed-size buffer to store experience tuples.""" def __init__(self, buffer_size, batch_size, seed, device): """Initialize a ReplayBuffer object. Params ====== ...
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# coding: utf-8 # # Copyright 2019 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://aws.amazon.com/apache2.0/ # # or in the "lice...
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#!/usr/bin/env python """Trains a classifier for frames from the Simpsons. Useful for testing data tables. """ # we need this so strings are written to bigquery as strings rather than bytes from __future__ import unicode_literals import math import os import subprocess import keras from keras.models import Sequent...
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'''Train CIFAR10 with PyTorch.''' from __future__ import print_function import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn import torchvision import torchvision.transforms as transforms import os import argparse import csv from models ...
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe import re from frappe import _ from frappe.utils import (flt, getdate, get_first_day, get_last_day, date_diff, add_months, add_days, form...
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# coding: utf-8 import pprint import re import six class ProxyTokenDTO: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is j...
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# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. import unittest import pytest import pickle from sklearn.linear_model import LinearRegression, Lasso, LassoCV, LogisticRegression from sklearn.pipeline import Pipeline from sklearn.preprocessing import OneHotEncoder, Function...
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import logging, importlib, sys, os log = logging.getLogger('genthemall.utils') def load_class(clazz): """ util method for dynamic load class. """ dotIdx = clazz.rindex('.') mod = importlib.import_module(clazz[0:dotIdx]) return getattr(mod, clazz[dotIdx+1:]) def load_function(fn): """ ...
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#!/usr/bin/python from mininet.net import Mininet from mininet.node import Controller, RemoteController, OVSController from mininet.node import CPULimitedHost, Host, Node from mininet.node import OVSKernelSwitch, UserSwitch from mininet.node import IVSSwitch from mininet.cli import CLI from mininet.log import setLogLe...
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from functools import cache, partial, reduce from math import prod import pdb import aoc from toolz import keyfilter from tadhg_utils import lcompact, lfilter, lmap, splitstrip, splitstriplines INPUT, TEST = aoc.get_inputs(__file__) TA1 = 15 TA2 = 1134 A1 = 530 A2 = 1019494 def process_one(data): return sum(map...
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from __future__ import unicode_literals import json from urllib.parse import urlencode import re import sure # noqa import moto.server as server """ Test the different server responses """ def test_cloudformation_server_get(): backend = server.create_backend_app("cloudformation") stack_name = "test stack"...
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INCLUDE_VALUE_IN_NAME = ["display"] class StyleMap(): map = {} def __init__(self, map): self.map = map pass def removeById(self, id): del self.map[id] def getElementIds(self): return set(self.map.keys()) def renameId(self, old_id, new_id): if...
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# (C) Datadog, Inc. 2018 # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) import re import time from six import string_types from six.moves.urllib.request import urlopen from .errors import RetryError from .structures import LazyFunction from .subprocess import run_command from .utils...
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from ...plugin import hook from .trezor import TrezorPlugin from ..hw_wallet import CmdLineHandler class Plugin(TrezorPlugin): handler = CmdLineHandler() @hook def init_keystore(self, keystore): if not isinstance(keystore, self.keystore_class): return keystore.handler = self.han...
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# -*- coding: utf-8 -*- """ Provides support to compose user-defined parse types. Cardinality ------------ It is often useful to constrain how often a data type occurs. This is also called the cardinality of a data type (in a context). The supported cardinality are: * 0..1 zero_or_one, optional<T>: T or None *...
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from dataclasses import dataclass, field from functools import partial import jax import jax.numpy as jnp import numpy as np from braceexpand import braceexpand from datasets import Dataset, load_dataset from .text import TextNormalizer @dataclass class Dataset: dataset_repo_or_path: str train_file: str = N...
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import argparse import gym from dqn.trainer import Trainer from dqn.tester import Tester from envs.env_wrappers import wrap_dqn def main(): parser = argparse.ArgumentParser(description='Deep Q Network') # 環境側のパラメータ parser.add_argument('--env_name', default='PongNoFrameskip-v4', help='Environment name') ...
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from reportlab.lib.pagesizes import letter, landscape from reportlab.lib.units import inch from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.enums import TA_CENTER from reportlab.lib import color...
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#!/usr/bin/env python """Setup script for ConferenceScheduler.""" import setuptools from conference_scheduler import __project__, __version__ import os if os.path.exists('README.rst'): README = open('README.rst').read() else: README = "" # a placeholder, readme is generated on release CHANGES = open('CHANG...
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# -*- test-case-name: foolscap.test.test_banana -*- from __future__ import print_function from twisted.python import log from twisted.internet.defer import Deferred from foolscap.tokens import Violation from foolscap.slicer import BaseSlicer, BaseUnslicer from foolscap.constraint import OpenerConstraint, Any, IConstra...
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from types import SimpleNamespace from syncx import manage from syncx import tag from syncx.manager import Manager from syncx.manager import ManagerInterface from syncx.serializer import JsonSerializer from syncx.serializer import YamlSerializer def test_get_serializer(): assert Manager.get_serializer('foo') is ...
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from warnings import warn from .Abi import dec_uint from .JsonRpc import JsonRpc from .JsonRpc import JsonRpcError class BlockDataDict(object): ''' Represents the parsed return of the Block data. ''' integer_fields = ["nonce", "number", "difficulty", "totalDifficulty", "size", "gasLimit", "gasUsed", "timest...
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import numpy as np from core.variable import Variable from core.constraint import Constraint from core.agent_state import AgentState class Agent: def __init__(self, name, variables=[], constraints=[], seed=1234): self.name = name self.variables = variables.copy() # the set of constraints in...
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import sys import scipy.io as sio import glob ## OBJ file #v -0.3925 -0.8111 2.0260 s = int(sys.argv[1]) with open('scenes', 'r') as fin: scene_id = fin.readlines()[s].strip() mats = glob.glob('scannet/%s/*.mat' % scene_id) for mat_f in mats: obj = mat_f.replace('.mat', '.obj') mat = sio.loadmat(mat_f) #pr...
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# search_helpers.py from typing import List from pybraries.helpers import sess, extract from pybraries.make_request import make_request def search_api(action, *args, **kwargs): """ build and call for search Args: action (str): function action name *args (str): positional arguments ...
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# coding: utf-8 import pprint import re import six class ListResourceTypesRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the...
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import sys, os import subprocess #from utilix.rundb import pymongo_collection from utilix import xent_collection import re import time import datetime _date = sys.argv[1] single_calibration = int(sys.argv[2]) date = datetime.datetime(int(_date[:4]), int(_date[4:6]), int(_date[6:])) runs = sys.argv[3:11] print('Date:...
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from typing import Callable, Optional from testutils.trees import TreeNode, build_tree def preorder_string(node: Optional[TreeNode]) -> str: """Returns a uniquely identifyable preorder string of the tree""" if not node: return '' return f"# {node.val} {preorder_string(node.left)} {preorder_string...
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import configparser import re import sys from loguru import logger as logger class Config: def __init__(self, config_file: str): self.config_file = config_file def check_setting(self, category: str, option: str) -> str: config = configparser.ConfigParser() config.read(self.config_file...
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import copy import logging from typing import List, Tuple import torch import wandb from torch.utils.data import DataLoader, TensorDataset from torchvision.utils import make_grid import torchvision.transforms as tfs from FID.FIDScorer import FIDScorer from fedml_api.standalone.fedgdkd.ac_gan_model_trainer import ACGA...
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import logging import spotipy from interaction_manager.utils import config_helper logger = logging.getLogger("Spotify Config") default_spotify_settings = config_helper.get_spotify_settings() scope = "user-library-read, playlist-read-private, app-remote-control, streaming, " \ "user-read-playback-state, use...
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from __future__ import absolute_import, division, print_function # XXX this is intended to be a simple template for debugging queueing system # support issues, not a full regression test. class target(object): def __init__(self, x): self.x = x def __call__(self): import math results = [] for n in...
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from tqdm import tqdm import torch class Trainer: def __init__(self, cfg, model, criterion, optimizer, loader): self.cfg = cfg self.model = model self.criterion = criterion self.optimizer = optimizer self.train_loader = loader['train'] self.val_loader = loader['val'...
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import base64 import os import sys import threading from collections import defaultdict from functools import partial from io import BytesIO from mimetypes import guess_extension from tempfile import mkstemp from typing import Any, Union import numpy as np import six from PIL import Image from ...debugging.log import...
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"""CSC110 Fall 2020: Climate Change and Natural Disaster Sentiment Analysis This is the main module that converts dataset of ids to tweet sentiments and then plots the results. Copyright and Usage Information ============================== This file is Copyright (c) 2020 Akash Ilangovan, Vijay Sambamurthy, Dharmpreet...
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from tello import Tello import sys from datetime import datetime import time # from PIL import Image import cv2 import numpy as np import rospy import std_msgs.msg from sensor_msgs.msg import Image from cv_bridge import CvBridge import camera_info_manager as cim from sensor_msgs.msg import CameraInfo impo...
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# -*- coding: utf-8 -*- def main(): import sys input = sys.stdin.readline x = list(map(int, input().split())) for index, xi in enumerate(x, 1): if xi == 0: print(index) exit() if __name__ == '__main__': main()
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from brownie import interface from rich.console import Console from tabulate import tabulate from helpers.utils import val from helpers.multicall import Call, as_wei, func from .StrategyCoreResolver import StrategyCoreResolver console = Console() class StrategyDiggRewardsResolver(StrategyCoreResolver): # ===== ...
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#!/usr/bin/env python3 # Foundations of Python Network Programming, Third Edition # https://github.com/brandon-rhodes/fopnp/blob/m/py3/chapter06/test_tls.py # Attempt a TLS connection and, if successful, report its properties import argparse, socket, ssl, sys, textwrap import ctypes from pprint import pprint def open...
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# -*- coding: utf-8 -*- import pandas as pd from functools import wraps from ..common import _getJson, _dateRange, _strOrDate, _toDatetime def timeSeriesInventory(token='', version=''): '''Get inventory of available time series endpoints Returns: result (dict) ''' return _getJson('time-series/...
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# coding: utf-8 # # Copyright 2014 The Oppia 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 requi...
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from os import path, mkdir import numpy as np np.random.seed(1) import random random.seed(1) import tensorflow as tf tf.set_random_seed(1) import timeit import cv2 from tensorflow.keras.optimizers import Adam from tensorflow.keras.callbacks import ModelCheckpoint, LearningRateScheduler #, TensorBoard from models import...
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# Copyright 2018 The TensorFlow 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 applica...
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not us...
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from __future__ import print_function import numpy as np from scipy.sparse.linalg.isolve.utils import make_system from pyamg.util.linalg import norm from warnings import warn __all__ = ['cr'] def cr(A, b, x0=None, tol=1e-5, maxiter=None, xtype=None, M=None, callback=None, residuals=None): """Conjugate Re...
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import os import shutil from bson.json_util import dumps import numpy as np from pax import plugin, exceptions, datastructure from pax.formats import flat_data_formats class TableWriter(plugin.OutputPlugin): """Output data to flat table formats Convert our data structure to numpy record arrays, one for each...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # repeat.py # shelly # """ Repeat a command a given number of times (or, infinitely). """ import sys import optparse import subprocess def repeat(cmd_args, n=None): run = lambda: subprocess.Popen([' '.join(cmd_args)], stdout=sys.stdout, stderr=sys.st...
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# Copyright 2020 QuantumBlack Visual Analytics Limited # # 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 # # THE SOFTWARE IS PROVIDED "AS IS",...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 5/15/20 4:49 PM # @File : grover.py # qubit number=4 # total number=22 import cirq import cirq.google as cg from typing import Optional import sys from math import log2 import numpy as np class Opty(cirq.PointOptimizer): def optimization_at( ...
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import time import win32api import win32con # https://gist.github.com/chriskiehl/2906125 VK_CODES = { 'backspace': 0x08, 'tab': 0x09, 'clear': 0x0C, 'enter': 0x0D, 'shift': 0x10, 'ctrl': 0x11, 'alt': 0x12, 'pause': 0x13, 'caps_lock': 0x14, 'esc': 0x1B, 'spacebar': 0x20, ...
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import os import numpy as np import tensorflow as tf import random IGNORE_LABEL = 255 IMG_MEAN = np.array((125.0, 114.4, 107.9), dtype=np.float32) def image_scaling(img, label, edge): """ Randomly scales the images between 0.5 to 1.5 times the original size. Args: img: Training image to scale. ...
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# Copyright 2018-2021 Alvaro Bartolome, alvarobartt @ GitHub # See LICENSE for details. import json import requests from unidecode import unidecode from .utils import constant as cst from .utils.search_obj import SearchObj from .utils.extra import random_user_agent from lxml.html import fromstring def search_quot...
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# -*- coding: utf-8 -*- from .buffer import Buffer from .timeout import Timeout from .. import context, term, atexit from ..util import misc, fiddling from ..context import context import re, threading, sys, time, subprocess, logging, string log = logging.getLogger(__name__) class tube(Timeout): """ Container...
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# Licensed to Cloudera, Inc. under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. Cloudera, Inc. licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file ex...
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#!/usr/bin/env python # Copyright (c) 2018 Andy Zeng import socket import struct import time import numpy as np import os import sys import math import matplotlib.pyplot as plt import pybullet as p import pybullet_data from datetime import datetime import gym from gym import spaces from gym.utils import seeding from...
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# -*- coding: utf-8 -*- import scrapy # from scrapy.shell import inspect_response from scrapy import signals from jobcrawl.items import JobItem from scrapy.http import HtmlResponse from jobcrawl.selenium_scraper import DrushimScraper from pydispatch import dispatcher # from scrapy.xlib.pydispatch import dispatcher # i...
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"""Functions to load demo datasets.""" import io import logging import os import urllib.request from datetime import datetime, timedelta from zipfile import ZipFile import numpy as np import pandas as pd import scipy as sp from faker import Faker from sdv.metadata import Metadata, Table LOGGER = logging.getLogger(_...
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import data_utils def _get_feed_dict_for_others(model, x_batch, y_batch, x_lens, use_pos=True, use_ner=True, use_deprel=True): feed = {model.word_inputs:x_batch[data_utils.WORD_FIELD], model.labels:y_batch, model.seq_lens:x_lens} if use_pos: feed[model.pos_inputs] = x_batch[data_utils.POS_FIELD] if...
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# 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 ...
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# Owner(s): ["module: sparse"] import torch import itertools import functools import operator import random import unittest from torch.testing import make_tensor from torch.testing._internal.common_dtype import ( all_types_and_complex, ) from torch.testing._internal.common_utils import TestCase, run_tests, skipIfR...
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# Copyright 2021 DeepMind Technologies Limited # # 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 agr...
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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class Exempi(AutotoolsPackage): """exempi is a port of Adobe XMP SDK to work on UNIX and to be b...
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""" File: weather_master.py Name: Karen Wong ----------------------- This program should implement a console program that asks weather data from user to compute the average, highest, lowest, cold days among the inputs. Output format should match what is shown in the sample run in the Assignment 2 Handout. """ EXIT = -...
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import sys import os import numpy as np import pytest import keepa import datetime py2 = sys.version_info.major == 2 py37 = sys.version_info.major == 3 and sys.version_info.minor == 7 # reduce the request limit for testing keepa.interface.REQLIM = 2 try: path = os.path.dirname(os.path.realpath(__file__)) k...