text stringlengths 2 999k |
|---|
#!/usr/bin/env python3
"""
Note: To Run this script gui should be opened with
path: cd LANforgeGUI_5.4.3 (5.4.3 can be changed with GUI version)
pwd (Output : /home/lanforge/LANforgeGUI_5.4.3)
./lfclient.bash -cli-socket 3990
Note: This is a test file which will run a wifi capacity test.
e... |
#from apiclient.discovery import build
#from oauth2client.file import Storage
from string import Template
from utils import Date
# this code is not yet complete
class Report:
"""create ingest report based on data that has been gathered and computed
Reports (eventually) are google docs, they are created usi... |
import math
AB = int(input())
BC = int(input())
print ( int(round(math.degrees(math.atan2(AB,BC)))), chr(176), sep='')
#https://www.hackerrank.com/challenges/find-angle/problem
import math
print ( int(round(math.degrees(math.atan2(int(input()),int(input()))))), chr(176), sep='') |
#! /usr/bin/env python
from zplot import *
c = pdf(title='simple.pdf', dimensions=[300,300])
c.line(coord=[[10,10],[290,290]])
c.line(coord=[[10,290],[290,10]])
c.line(coord=[[50,50],[50,100],[100,100],[100,50]],
linewidth=3,
linecolor='orange',
linejoin=1,
closepath=True)
c.box(coord=[... |
import pytest
from mpi4py import MPI
import jax
import jax.numpy as jnp
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
size = comm.Get_size()
def run_in_subprocess(code, test_file, timeout=10):
"""Runs given code string in a subprocess"""
import os
import subprocess
import sys
from textwrap impor... |
#!/usr/local/bin/python2.6 -tt
#
# 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 (... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
print('init')
|
import os,sys,math,random
from phycas import *
from phycas.utilities.PhycasCommand import *
from phycas.utilities.CommonFunctions import CommonFunctions
class CPOImpl(CommonFunctions):
#---+----|----+----|----+----|----+----|----+----|----+----|----+----|
"""
Needs to be written.
"""
def __init__(... |
"""Quantum mechanical angular momemtum.
TODO:
* Improve the algorithm for the Wigner D-Function.
* Fix printing of Wigner D-Function.
* Implement inner products using Wigner D-Function.
* Implement rewrite logic for everything.
* Test
"""
from sympy import I, Symbol, S, Integer, Rational, Matrix, sqrt, sympify
from s... |
__version__ = "1.1.0"
__author__ = "Palo Alto Cortex Xpanse"
__license__ = "ISC"
__maintainer__ = "Palo Alto Cortex Xpanse"
__email__ = "help@expanseinc.com"
__status__ = "Production"
|
#!/usr/bin/python
__doc__ = """
This file contains code for daemon test case 2 for the 'server'.
Client is in quotes because dibs is peer-to-peer not client-server.
However, for this test, the 'client' stores data on the 'server' but
not vice-versa.
This file creates a directory in /tmp, and uses it to initailize
a D... |
"""
Base settings to build other settings files upon.
"""
from pathlib import Path
import environ
from corsheaders.defaults import default_headers as default_cors_headers
ROOT_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
APPS_DIR = ROOT_DIR / 'safe_transaction_service'
env = environ.Env()
READ_DO... |
from typing import NoReturn
from ...base import BaseEstimator
import numpy as np
from numpy.linalg import det, inv
class GaussianNaiveBayes(BaseEstimator):
"""
Gaussian Naive-Bayes classifier
"""
def __init__(self):
"""
Instantiate a Gaussian Naive Bayes classifier
Attributes... |
from botToken import token
from src.bot import bot
bot.run(token) |
from sklearn.metrics import mean_squared_error
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import sys
import os
import csv
"""Read cham-tool-logs with predicted-load values
Each rank holds an array of real-load and predicted load. For example,
real_load_data=[R0_... |
'''
@Author: Yingshi Chen
@Date: 2020-04-27 18:30:01
@
# Description:
'''
from torch import nn
import torch.nn as nn
import torch.nn.functional as F
from operations import *
from sparse_max import sparsemax, sparsemoid, entmoid15, entmax15
from genotypes import Genotype
import time
from MixedOp import *
from torch.au... |
#!/usr/bin/env python3
import argparse
import os
import subprocess
import sys
def setup():
global args, workdir
programs = ['ruby', 'git', 'make', 'wget', 'curl']
if args.kvm:
programs += ['apt-cacher-ng', 'python-vm-builder', 'qemu-kvm', 'qemu-utils']
elif args.docker and not os.path.isfile('... |
# -*- coding: utf-8 -*-
#
# Akamatsu CMS
# https://github.com/rmed/akamatsu
#
# MIT License
#
# Copyright (c) 2020 Rafael Medina García <rafamedgar@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
... |
import numpy as np
import tensorflow as tf
from keras.backend import set_session
from keras.layers import Dense, Flatten, Input, concatenate, SeparableConv2D
from keras.models import Model
from keras.optimizers import Adam
from c4_game import C4Action, C4Experience, C4State, C4MoveResult
class Ramp(object):
def ... |
import time
import logging
import tensorflow as tf
# from tensorflow.keras.utils import Progbar
# from tensorflow.python.keras import callbacks as callbacks_module
# import nvtx.plugins.tf as nvtx_tf
logger = tf.get_logger()
# Neural Network
class TFOptimizedModelTrainer():
def __init__(self, hp, model, mixed_pre... |
import logging
from logging.handlers import TimedRotatingFileHandler
import os
formatter = logging.Formatter('%(asctime)s %(name)-12s ' +
'%(levelname)-8s %(message)s')
log_debug = True
# Unit of time interval
LOG_TIME_WHEN = "midnight"
# Chang log file interval
LOG_TIME_INTERVAL = 1
# Kee... |
# Copyright 2009-Present The Graphite Development Team
# Copyright 2008 Orbitz WorldWide
#
# 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
#
# U... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'DeveloperLx'
import inspect, functools, asyncio, os, logging
from urllib import parse
from aiohttp import web
from apis import APIError
def get(path):
'''
Define decorator @get('/path')
'''
def decorator(func):
@functools.wraps(fun... |
from threading import Lock
class Resource:
def __init__(self, name, count):
self.name = name
self.count = count
self.in_use = 0
self.lock = Lock()
def set_count(self, count):
self.count = count
def get_available(self):
return self.count - self.in_use
|
class Human:
def __init__(self,name):
self.name = name
self.age = 0
def change_age(self,num):
if num > 0:
self.age = num
else:
print('ne baluisya')
new_human = Human(name='maksim')
new_human1 = Human(name='emir')
new_human1.change_age(-20) |
#!/usr/bin/env python3
# Copyright (c) 2014-2016 The Wizblcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the -alertnotify option."""
import os
import time
from test_framework.test_framework import Wiz... |
# coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class SslOptionRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key i... |
import sys
filename = "MPICH_RANK_ORDER"
file = open(filename, "w")
print "Printing --transposed-- virtual mapping to MPI ranks to MPICH_RANK_ORDER"
print "The processor grid dimensions are ", sys.argv[1], "-by-", sys.argv[1]
dim = int(sys.argv[1]);
gen = range(dim);
for i in range(dim):
line = [x * dim + i for x i... |
from chill import *
source('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/polybench/polybench-code/stencils/jacobi-1d/kernel.c')
destination('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/experiments/jacobi-1d/tmp_files/3213.c')
procedure('kernel_jacobi_1d')
loop(0)
tile(0,2,16,2)
tile(1,2,16,2)
|
import logging
from django.conf import settings
from django.template.loader import render_to_string
import requests
import urllib3
from .services import add_sign
from .utils import get_issue_instant
requests.packages.urllib3.disable_warnings()
requests.packages.urllib3.util.ssl_.DEFAULT_CIPHERS += ':HIGH:!DH:!aNULL... |
from pymongo import ReturnDocument
from lib.model import Model
from lib.mongodb import db
class UserSentTracking(Model):
collection = db.user_sent
@classmethod
def inc_queued(cls, uid):
return cls(cls.collection.find_one_and_update(
{'uid': uid},
{'$inc': {'last_queued': ... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-09 09:14
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('kpis', '0002_auto_20170331_1646'),
]
operations = [
migrations.AlterModelOp... |
#!/usr/bin/env python3
import testUtils
import argparse
import random
import signal
###############################################################
# Test for different test scenarios.
# Nodes can be producing or non-producing.
# -p <producing nodes count>
# -c <chain strategy[replay|resync|none]>
# -s <topology>
# ... |
from lunespy.client.transactions.burn import BurnAsset
from lunespy.client.wallet import Account
def test_without_asset_id_ready_failed_successful():
"""
without a asset_id parameter:
- should be return False for BurnAsset.ready
- else should be return True
"""
# Failed
... |
import sys
import os
# If NUSSL_DIRECTORY is defined, then this will use the version of NUSSL that it points to.
if os.getenv('NUSSL_DIRECTORY'):
sys.path.insert(0, os.getenv('NUSSL_DIRECTORY'))
from . import algorithms
from . import dataset
from . import model
import logging
# Set up logging format he... |
from common.ErrorCounter import ErrorCounter
from common.ExporterTypes import TX_TYPE_NFT_WHITELIST, TX_TYPE_NFT_CANCEL_ORDER
from terra import util_terra
from terra.api_lcd import LcdAPI
from terra.col4.handle_simple import handle_simple, handle_unknown
from terra.make_tx import (
make_nft_buy_tx,
make_nft_dep... |
import torch
import pdb
import torch.nn as nn
import math
from torch.autograd import Variable
from torch.autograd import Function
import numpy as np
def Binarize(tensor,quant_mode='det'):
if quant_mode=='det':
return tensor.sign()
else:
return tensor.add_(1).div_(2).add_(torch.rand(tensor.siz... |
# -*- encoding: UTF-8 -*-
# !/usr/bin/env python
from PyQt4.QtCore import *
from PyQt4.QtGui import QApplication, QIcon, \
QDialog, QLabel, QLineEdit, QPushButton
import sys
DEFAULT_PORT = 8888
DEFAULT_ADDR = '127.0.0.1'
WINDOW_WIDTH = 450
WINDOW_HEIGHT = 350
class LoginDialog(QDialog):
def __init__(self, ... |
from .BaseWork import Work
class TechReport(Work):
btexType="techreport"
_crossrefTypes = ['report']
_reqFields=["doi", "author", "title", "institution", "year"]
_optFields=["number", "address", "month"]
class Dissertation(Work):
_crossrefTypes = ['dissertation']
_reqFields = ["doi", "author",... |
from django.contrib.auth.models import AbstractUser
from django.core.urlresolvers import reverse
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils.translation import ugettext_lazy as _
@python_2_unicode_compatible
class User(AbstractUser):
""" User Model ... |
import os
import time
import requests
assert os.getenv("NYCKEL_CLIENT_ID"), "NYCKEL_CLIENT_ID env variable not set; can't setup connection."
assert os.getenv("NYCKEL_CLIENT_SECRET"), "NYCKEL_CLIENT_SECRET env variable not set; can't setup connection."
class Requester:
"""Class to talk to the Server. Manages the... |
from itertools import chain
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import Normal
def init(m, gain=1.0):
if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear):
nn.init.orthogonal_(m.weight.data, gain)
nn.init.zeros_(m.bias.data)
class DDPGMLP(nn.Module):... |
import asyncio
import datetime
import random
from typing import Dict, List
import discord
from discord.ext.commands import Context
from redbot.core import Config, checks, commands
from redbot.core.utils.menus import start_adding_reactions
from redbot.core.utils.predicates import ReactionPredicate
from .game import Ga... |
# Copyright 2018 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
from django.apps import AppConfig
class InstagConfig(AppConfig):
name = 'instag'
|
# -*- coding: utf-8 -*-
from . import config, datastructures, dns, fs, git, github # noqa
|
#!/usr/bin/env python
"""
Neural Network implementation.
Credit
------
I primarily learned the neural network algorithm from below sources:
[ICL] Imperial College London, Mathematics for Machine Learning Specialization, https://www.coursera.org/specializations/mathematics-machine-learning
[DA] deeplearning.ai, Deep Le... |
#!/usr/bin/env python3
import sys, os
from subprocess import Popen, PIPE
import yaml
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
# let snakemake read job_properties
from snakemake.utils import read_job_properties
jobscript = sys.argv[1]
job_properties = read_job_properties(jobscript)... |
# -*- coding: utf-8 -*-
#
# Authors: Denis A. Engemann <denis.engemann@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Juergen Dammers <j.dammers@fz-juelich.de>
#
# License: BSD (3-clause)
from inspect import isfunction
from collections import namedtuple
from copy import deepcopy
from... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import cmws.util
def step_lstm(lstm, input_, h_0_c_0=None):
"""LSTMCell-like API for LSTM.
Args:
lstm: nn.LSTM
input_: [batch_size, input_size]
h_0_c_0: None or
h_0: [num_layers, batch_size, hidden_size]
... |
from test import support
from test.support import os_helper
from tokenize import (tokenize, _tokenize, untokenize, NUMBER, NAME, OP,
STRING, ENDMARKER, ENCODING, tok_name, detect_encoding,
open as tokenize_open, Untokenizer, generate_tokens,
NEWLINE)
from i... |
# Copyright (c) 2021 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... |
#!/usr/bin/env mayapy
#
# Copyright 2018 Pixar
#
# 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 agre... |
# -*- coding: utf-8 -*-
# Copyright 2013 Mirantis, Inc.
#
# 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... |
import hashlib
import json
import logging
import os
from datetime import datetime
from pathlib import Path
import pandas as pd
from airflow import DAG
from airflow.models import Variable
from airflow.operators.dummy import DummyOperator
from airflow.operators.python import BranchPythonOperator, PythonOperator
from cka... |
"""
Provides base and example classes for pseudo motors, which are
combinations of other motors.
"""
from . import Motor
class PseudoMotor(Motor):
"""
Pseudo motor base class.
"""
def __init__(self, motors, dry_run=False, *args, **kwargs):
"""
Abstract base class for pseudo motors. Th... |
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from direct.particles import Particles
from direct.particles import ForceGroup
from EffectController import EffectController
from PooledEffect import PooledEffect
import random
class JRSoulHarvest... |
from .rfe_sklearn import RFESklearn
from .rfecv_sklearn import RFECVSklearn
from .select_from_model_sklearn import SelectFromModelSklearn
from .select_from_total_importance import SelectFromTotalImportance
from .select_percentile_sklearn import SelectPercentileSklearn
from .sequential_feature_selector_sklearn import Se... |
from airflow import DAG, macros
from airflow.operators.bash_operator import BashOperator
from airflow.operators.postgres_operator import PostgresOperator
from airflow.utils.dates import days_ago
from datetime import datetime
# [START default_args]
default_args = {
'owner': 'airflow',
'depends_on_past': False,
... |
# Generated by pypy/tool/import_cffi.py
import os, sys, math, py
from cffi import FFI, FFIError, VerificationError, VerificationMissing, model
from cffi import recompiler
from pypy.module.test_lib_pypy.cffi_tests.support import *
import _cffi_backend
lib_m = ['m']
if sys.platform == 'win32':
#there is a small chan... |
from numpy import exp # natural exponential
from numpy import array # creates a matrix
from numpy import dot # multiplies matrices
from numpy import random
class NeuralNetwork():
def __init__(self):
# Seed the random number generator, so it generates the same numbers
# every time t... |
"""
Window Fringe
"""
from .._element import WindowElement
__all__ = [
"WindowFringe",
]
class WindowFringe(
WindowElement,
):
pass
|
"""
xled_plus.sequence
~~~~~~~~~~~~~~~~~~
Author: Anders Holst (anders.holst@ri.se), 2021
This module contains some classes for creating spatio-temporal cyclic color
sequences. That is, bands or gradients of colors moving across the leds in
some direction at some speed.
It assumes that a 2D or 3D layout is set on th... |
"""
missing types & inference
"""
import numpy as np
from pandas._config import get_option
from pandas._libs import lib
import pandas._libs.missing as libmissing
from pandas._libs.tslibs import NaT, iNaT
from pandas._typing import DtypeObj
from pandas.core.dtypes.common import (
_NS_DTYPE,
_TD_DTYPE,
ens... |
# Generated by Django 3.1.7 on 2021-03-08 12:13
import django.contrib.postgres.indexes
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("order", "0100_auto_20210216_0914"),
]
operations = [
migrations.AddIndex(
model_name="fulfillment... |
from abc import ABC
from datetime import datetime
from pyramid.response import Response
class BaseView(ABC):
@staticmethod
def json_response(json):
""""
:param dict | list json:
:rtype: dict | list
"""
if isinstance(json, dict):
result = BaseView._dict_resp... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
from thumbor.utils import logger
from functools import reduce
def ... |
# -*- coding: utf-8 -*-
"""Plotting interface."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
from collections import OrderedDict
from contextlib import contextmanager
import hashlib
import ... |
"""
OpenAPI definition
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v0
Contact: support@gooddata.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sy... |
# Usage: python predict_no_y.py number_of_separation NEPDF_pathway model_pathway
# command line in developer's linux machine :
# python predict_no_y.py 9 /home/yey3/cnn_project/code3/NEPDF_data /home/yey3/cnn_project/code3/trained_model/models/KEGG_keras_cnn_trained_model_shallow2.h5
from __future__ import print... |
#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2018, Anaconda, Inc. and Intake contributors
# All rights reserved.
#
# The full license is in the LICENSE file, distributed with this software.
#------------------------------------------------------------------------... |
from configparser import ConfigParser
from pyrogram import Client
class Bot(Client):
def __init__(self):
name = self.__class__.__name__.lower()
config_file = f"{name}.ini"
config = ConfigParser()
config.read(config_file)
super().__init__(
name,
bot... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Update encrypted deploy password in Travis config file
"""
from __future__ import print_function
import base64
import json
import os
from getpass import getpass
import yaml
from cryptography.hazmat.primitives.serialization import load_pem_public_key
from cryptography.h... |
# 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 u... |
###
# Copyright (c) 2019, cottongin
# Copyright (c) 2020, oddluck <oddluck@riseup.net>
# 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 ... |
#!/usr/bin/python2.4
#
# Copyright 2014 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 require... |
"""Validate a face recognizer on the "Labeled Faces in the Wild" dataset (http://vis-www.cs.umass.edu/lfw/).
Embeddings are calculated using the pairs from http://vis-www.cs.umass.edu/lfw/pairs.txt and the ROC curve
is calculated and plotted. Both the model metagraph and the model parameters need to exist
in the same d... |
from datetime import datetime
from twint.storage import postgres
from . import format, get
from .tweet import Tweet
from .user import User
from .storage import db, elasticsearch, write, panda
import logging as logme
follows_list = []
tweets_list = []
users_list = []
author_list = {''}
author_list.pop()
# used by ... |
from datadog import initialize, api
options = {
'api_key': '<YOUR_API_KEY>',
'app_key': '<YOUR_APP_KEY>'
}
initialize(**options)
name = 'My Dashboard List'
api.DashboardList.create(name=name)
|
import numba
import numpy as np
@numba.jit(nopython=True, nogil=True)
def NoTransform(value_in):
return value_in
@numba.jit(nopython=True, nogil=True)
def AbsValueTransform(value_in):
return np.abs(value_in)
# Interpret stats, turning any compound stats into individual stats.
# Takes a list of stat names ... |
import os
from uuid import uuid4
from os.path import join
from .models import Attachment
from . import db
FILESTORE_PATH = '/tmp/.dp_filestore' # TODO: make configurable
def ensure_filestore():
""" Ensure filestore folder exists"""
if not os.path.exists(FILESTORE_PATH):
os.mkdir(FILESTORE_PATH)
def... |
# ex:ts=4:sw=4:sts=4:et
# -*- tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*-
"""
BitBake 'Fetch' implementations
Classes for obtaining upstream sources for the
BitBake build tools.
"""
# Copyright (C) 2003, 2004 Chris Larson
#
# This program is free software; you can redistribute it and/or modify
# it un... |
# Copyright IBM Corp. All Rights Reserved.
#
# SPDX-License-Identifier: Apache-2.0
#
import unittest
import subprocess
class perf_goleveldb(unittest.TestCase):
def test_FAB_3790_VaryNumParallelTxPerChain(self):
'''
In this Performance test, we observe the performance (time to
complete a... |
from django.apps import AppConfig
class EventKitJobs(AppConfig):
name = "eventkit_cloud.jobs"
verbose_name = "Eventkit-Cloud Jobs"
def ready(self):
from eventkit_cloud.jobs.signals import job_post_save, user_post_save # NOQA
|
"""
This file defines the 'subset' SomeValue classes.
An instance of a SomeValue class stands for a Python object that has some
known properties, for example that is known to be a list of non-negative
integers. Each instance can be considered as an object that is only
'partially defined'. Another point of view is th... |
# ---
# jupyter:
# jupytext:
# cell_metadata_filter: collapsed,code_folding
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.2'
# jupytext_version: 1.2.1
# kernelspec:
# display_name: Python 3
# language: pyth... |
#!/usr/bin/env python
# Copyright 2019 ARC Centre of Excellence for Climate Extremes
# author: Paola Petrelli <paola.petrelli@utas.edu.au>
#
# 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
#
# ... |
"""
This module contains the :class:`~xcc.Settings` class and related helper functions.
"""
import os
from typing import Optional
from appdirs import user_config_dir
from dotenv import dotenv_values, set_key, unset_key
from pydantic import BaseSettings
def get_path_to_env_file() -> str:
"""Returns the path to t... |
# -*- coding: utf-8 -*-
#
# wafer-mlops documentation build configuration file, created by
# sphinx-quickstart.
#
# 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 configuration values ha... |
import numpy as np
from common.numpy_fast import clip, interp
def apply_deadzone(error, deadzone):
if error > deadzone:
error -= deadzone
elif error < - deadzone:
error += deadzone
else:
error = 0.
return error
class PIController():
def __init__(self, k_p, k_i, k_f=1., pos_limit=None, neg_limit=... |
# -*- Python -*-
# Return the options to use for a C++ library or binary build.
# Uses the ":optmode" config_setting to pick the options.
load("//tensorflow/core:platform/default/build_config_root.bzl",
"tf_cuda_tests_tags")
# List of proto files for android builds
def tf_android_core_proto_sources():
retur... |
""" Generic IOS-XE Patterns. """
__author__ = "Myles Dear <pyats-support@cisco.com>"
from unicon.plugins.generic.patterns import GenericPatterns
from unicon.plugins.generic.service_patterns import ReloadPatterns
class IosXEPatterns(GenericPatterns):
def __init__(self):
super().__init__()
self.sh... |
import json
import os
import sys
import time
import aco
from domain import DomainProblem
from state import State
def run(domain, problem, config):
print('==================================================')
print(f'{os.path.split(domain)[-1]} --- {os.path.split(problem)[-1]}')
print('===================... |
# Copyright 2019 Xanadu Quantum Technologies Inc.
# 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 agre... |
from django.urls import path
from estoque.estoques import views as v
app_name = 'estoques'
urlpatterns=[
path('', v.estoque_entrada_list, name='estoque_entrada_list'),
path('<int:pk>/', v.estoque_entrada_detail, name='estoque_entrada_detail'),
] |
# Code for paper:
# [Title] - "PAN: Towards Fast Action Recognition via Learning Persistence of Appearance"
# [Author] - Can Zhang, Yuexian Zou, Guang Chen, Lei Gan
# [Github] - https://github.com/zhang-can/PAN-PyTorch
import numpy as np
def softmax(scores):
es = np.exp(scores - scores.max(axis=-1)[..., None])
... |
# -*- coding: utf-8 -*-
"""
mslib.msui.mpl_map
~~~~~~~~~~~~~~~~~~
Map canvas for the top view.
As Matplotlib's Basemap is primarily designed to produce static plots,
we derived a class MapCanvas to allow for a certain degree of
interactivity. MapCanvas extends Basemap by functionality to, for
... |
_base_ = [
'../_base_/models/dnl_r50-d8.py',
'../_base_/datasets/cityscapes_769x769.py', '../_base_/default_runtime.py',
'../_base_/schedules/schedule_80k.py'
]
model = dict(
decode_head=dict(align_corners=True),
auxiliary_head=dict(align_corners=True),
test_cfg=dict(mode='slide', crop_size=(769... |
# -*- encoding: utf-8 -*-
from contextlib import contextmanager
from datetime import datetime
import sys
from traceback import format_exception
import colorama
from .conf import settings
from . import const
def color(color_):
"""Utility for ability to disabling colored output."""
if settings.no_colors:
... |
from typing import List
import functools
import pytest # type: ignore
from strategy_param import Customer, LineItem, Order, Promotion
from strategy_param import fidelity_promo, bulk_item_promo, LargeOrderPromo
from strategy_param import general_discount
@pytest.fixture
def customer_fidelity_0() -> Customer:
re... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.