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"""
User module
"""
import discord
import random
import asyncio
from discord.ext import commands
from discord.ext.commands import has_permissions, MissingPermissions, BadArgument
import requests, json, pyfiglet
from datetime import timedelta, datetime
class User(commands.Cog):
api_key = "<KEY>"
base_url = "... |
import secrets
import asyncio
from datetime import datetime, timedelta
import discord
from discord.ext import commands
from database import DatabasePersonality, DatabaseDeck
class Roll(commands.Cog):
def __init__(self, bot):
"""Initial the cog with the bot."""
self.bot = bot
#### Commands #... |
#from https://github.com/mfurukawa/imu_sensor/tree/master/src/Python
# September 03, 2020
# <NAME>
from __future__ import unicode_literals ,print_function
import serial
from time import sleep
import numpy as np
import matplotlib.pyplot as plt
import io
import csv
import time
import datetime
import struct
impo... |
"""
@author: mkowalska
"""
import os
import numpy as np
from numpy.linalg import LinAlgError
import matplotlib.pyplot as plt
from figure_properties import *
import matplotlib.gridspec as gridspec
from kcsd import KCSD1D
import targeted_basis as tb
__abs_file__ = os.path.abspath(__file__)
def _html(r, g, b):
ret... |
#!/usr/bin/env python3
import argparse
import getpass
import os
import sys
import argcomplete
from datetime import datetime
from forest import cmake_tools
from forest.common.eval_handler import EvalHandler
from forest.common.install import install_package, write_setup_file, write_ws_file, check_ws_file, uninstall_pac... |
# ******************************************************************************
# Copyright 2017-2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apa... |
# (c) 2017 Red Hat Inc.
#
# This file is part of Ansible
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import collections
import os
import json
import p... |
import logging
from thespian.actors import *
from eventsourcing.application.process import ProcessApplication, Prompt
from eventsourcing.application.system import System, SystemRunner
from eventsourcing.domain.model.events import subscribe, unsubscribe
from eventsourcing.interface.notificationlog import RecordManager... |
import h5py
from ont_fast5_api.conversion_tools import multi_to_single_fast5
from ont_fast5_api import fast5_interface
import SequenceGenerator.align as align
import SignalExtractor.Nanopolish as events
from testFiles.test_commands import *
import os, sys
import subprocess
#todo get basecall data
def bas... |
import click
import aiohttp
import asyncio
import re
import json
from typing import Optional, Tuple, Iterable, Union, List
from blspy import G2Element, AugSchemeMPL
from chia.cmds.wallet_funcs import get_wallet
from chia.rpc.wallet_rpc_client import WalletRpcClient
from chia.util.default_root import DEFAULT_ROOT_PATH... |
##--------------------------------Main file------------------------------------
##
## Copyright (C) 2020 by <NAME> (<EMAIL>)
## June, 2020
## <EMAIL>
##-----------------------------------------------------------------------------
# Variables aleatorias múltiples
# Se consideran dos bases de datos las ... |
# -*- coding:UTF-8 -*-
import pandas as pd
from minepy import MINE
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.ensemble import ExtraTreesClassifier
import xgboost as xgb
import operator
from sklearn.utils import shuffle
from Common.ModelCommon import ModelCV
from sklearn import svm
import numpy a... |
"""
This tool compares measured data (observed) with model outputs (predicted), used in procedures of calibration and validation
"""
from __future__ import division
from __future__ import print_function
import os
from math import sqrt
import pandas as pd
from sklearn.metrics import mean_squared_error as calc_mean_squar... |
from itertools import product
import struct
import pickle
import numpy as np
from scipy import sparse
from scipy import isnan as scipy_isnan
import numpy.matlib
ASCII_FACET = """facet normal 0 0 0
outer loop
vertex {face[0][0]:.4f} {face[0][1]:.4f} {face[0][2]:.4f}
vertex {face[1][0]:.4f} {face[1][1]:.4f} {face[1][2]... |
# this version is adapted from http://wiki.ipython.org/Old_Embedding/GTK
"""
Backend to the console plugin.
@author: <NAME>
@organization: IBM Corporation
@copyright: Copyright (c) 2007 IBM Corporation
@license: BSD
All rights reserved. This program and the accompanying materials are made
available under the term... |
import json
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import dash_table
def get_comps_data(bd, projverurl):
print('Getting components ...')
# path = projverurl + "/components?limit=5000"
#
# custom_headers = {'Acc... |
import numpy as np
from time import time
import matplotlib.pyplot as plt
measure2index={"y-coordinate":0,"x-coordinate":1,"timestamp":2, "button_status":3,"tilt":4, "elevation":5,"pressure":6}
index2measure=list(measure2index.keys())
task2index={"spiral":0,"l":1,"le":2 ,"les":3,"lektorka" :4,"porovnat":5,"nepopadnout... |
from Tkinter import *
import ttk
import BuyBook
import BookInformationPage
import Message
class UserPage(object):
def __init__(self, root, color, font, dbConnection, userInfo):
for child in root.winfo_children():
child.destroy()
self.root = root
self.color = color
sel... |
import argparse, os, fnmatch, json, joblib
import pandas as pd
from sklearn.mixture import GaussianMixture
from sklearn.metrics import adjusted_rand_score
# Reference paper - https://arxiv.org/abs/1906.11373
# "Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data"
STA... |
'''
--- I M P O R T S T A T E M E N T S ---
'''
import coloredlogs, logging
coloredlogs.install()
import numpy as np
'''
=== S T A R T O F C L A S S E V A L M E T R I C ===
[About]
Object class for calculating average values.
[Init Args]
- name: String for the variable name to calc... |
#!/usr/bin/env python3
"""
Main script for workload forecasting.
Example usage:
- Generate data (runs OLTP benchmark on the built database) and perform training, and save the trained model
./forecaster --gen_data --models=LSTM --model_save_path=model.pickle
- Use the trained models (LSTM) to generate predictions.
... |
import numpy as np
import tectosaur.util.gpu as gpu
from tectosaur.fmm.c2e import build_c2e
import logging
logger = logging.getLogger(__name__)
def make_tree(m, cfg, max_pts_per_cell):
tri_pts = m[0][m[1]]
centers = np.mean(tri_pts, axis = 1)
pt_dist = tri_pts - centers[:,np.newaxis,:]
Rs = np.max(np... |
"""
Challenge Exercises for Chapter 1.
"""
import random
import timeit
from algs.table import DataTable, ExerciseNum, caption
from algs.counting import RecordedItem
def partition(A, lo, hi, idx):
"""
Partition using A[idx] as value. Note lo and hi are INCLUSIVE on both
ends and idx must be valid index. C... |
import os, time, mimetypes, glob
from django.utils.translation import gettext_lazy as _
from django.urls import reverse
from task.const import *
from task.models import Task, detect_group
from rusel.base.config import Config
from rusel.base.forms import CreateGroupForm
from rusel.context import get_base_context
from ru... |
import os
import argparse
import subprocess
import random
import edlib
from typing import List
from collections import Counter
import stanza
class ExtractMetric(object):
"""used for precision recall"""
def __init__(self, nume=0, denom_p=0, denom_r=0, precision=0, recall=0, f1=0):
super(ExtractMetric, ... |
import qiskit
import numpy as np
import matplotlib.pyplot as plt
import json
from graph import *
# Random comment
P =1
def makeCircuit(inbits, outbits):
q = qiskit.QuantumRegister(inbits+outbits)
c = qiskit.ClassicalRegister(inbits+outbits)
qc = qiskit.QuantumCircuit(q, c)
q_input = [q[i] for i in ran... |
# 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... |
from random import Random
from collections_extended import setlist
# The version of seeding to use for random
SEED_VERSION = 2
# Common alphabets to use
ALPHANUM = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
BASE58 = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
def shuffle(key... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 28 13:03:05 2017
@author: <NAME>
"""
import cntk as C
import _cntk_py
import cntk.layers
import cntk.initializer
import cntk.losses
import cntk.metrics
import cntk.logging
import cntk.io.transforms as xforms
import cntk.io
import cntk.train
import os
import numpy as np
i... |
import h2o
from h2o.base import Keyed
from h2o.exceptions import H2OValueError
from h2o.job import H2OJob
from h2o.model import ModelBase
from h2o.utils.typechecks import assert_is_type, is_type
class H2OAutoMLBaseMixin:
def predict(self, test_data):
"""
Predict on a dataset.
:param ... |
#
# Copyright (C) 2014 Dell, 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 agreed to in wri... |
import os
from itertools import product
from concurrent import futures
from contextlib import closing
from datetime import datetime
import numpy as np
from . import _z5py
from .file import File, S3File
from .dataset import Dataset
from .shape_utils import normalize_slices
def product1d(inrange):
for ii in inrang... |
import discord
from discord.ext import commands
from pathlib import Path
from config import bot
from collections import OrderedDict
import json
class RoleSelector(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.messages_path = str(Path('cogs/data/messages.json'))
async def opener(... |
#!/usr/bin/env python
# Author: <NAME>
# Date: 2015oct31
from __future__ import print_function
import os
import sys
import stat
import errno
import shutil
import optparse
import traceback
import subprocess
wrappaconda_name_string = 'Wr[App]-A-Conda'
class AppAtizer(object):
def __init__(self):
# tmp ... |
import numpy as np
from pyquil.gate_matrices import X, Y, Z, H
from forest.benchmarking.operator_tools.superoperator_transformations import *
# Test philosophy:
# Using the by hand calculations found in the docs we check conversion
# between one qubit channels with one Kraus operator (Hadamard) and two
# Kraus operat... |
from distutils.version import LooseVersion
import requests
import os
import shutil
import threading
import webbrowser
from zipfile import ZipFile
from pathlib import Path
import traceback
import tempfile
# import concurrent.futures
from flask import Flask, url_for, make_response
from flask.json import dumps
from flask_... |
# Copyright Contributors to the Pyro-Cov project.
# SPDX-License-Identifier: Apache-2.0
import functools
import io
import logging
import math
import re
import sys
import torch
import torch.multiprocessing as mp
from Bio import AlignIO
from Bio.Phylo.NewickIO import Parser
from Bio.Seq import Seq
from Bio.SeqRecord im... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module contains the necessary functions to load a text-corpus from
NLTK, contract all possible sentences, applying POS-tags to the
contracted sentences and compare that with the original text.
The information about which contraction+pos-tag pair gets expanded to
... |
from tensorflow.keras.models import Model
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import cv2
import numpy as np
import pandas as pd
from tensorflow.keras.models import load_model
import tensorflow as tf
import os
#--------------... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Common utility functions
Created on Sun May 27 16:37:42 2018
@author: chen
"""
import math
import cv2
import os
from imutils import paths
import numpy as np
import scipy.ndimage
def rotate_cooridinate(cooridinate_og,rotate_angle,rotate_center):
"""
calculat... |
import scipy, numpy, typing, numbers
from tequila.objective import Objective
from tequila.objective.objective import assign_variable, Variable, format_variable_dictionary, format_variable_list
from .optimizer_base import Optimizer
from ._containers import _EvalContainer, _GradContainer, _HessContainer, _QngContainer
fr... |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import keras
from keras.models import Model, load_model
from keras import backend as K
from keras.preprocessing.image import ImageDataGenerator
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR) # mute deprecation warnings
from kera... |
# Copyright 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch, glob, os
from .sparseConvNetTensor import SparseConvNetTensor
from .metadata import Metadata
import sparsecon... |
# The MIT License (MIT)
#
# Copyright © 2021 <NAME>, <NAME>, <NAME>
#
# 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... |
import os
import json
from common import update_json_file, get_logger, exec_cmd
from yamlparser import Parser
from pathlib import Path
logger = get_logger("update-image")
# Functions that work to update gluu_versions.json
def determine_final_official_and_dev_version(tag_list):
"""
Determine official version... |
def setopts(defaults, given):
"""Override default keyword dictionary options.
kwargs = setopts(defaults, kwargs)
A warning is shown if kwargs contains a key not found in default.
"""
# Override defaults
for key, value in given.items():
if type(given[key]) == dict:
setopts(... |
from __future__ import unicode_literals, print_function, division
import feedparser
import dataset
from twisted.internet.reactor import callLater
from threading import Thread
import twisted.internet.error
import logging
logger = logging.getLogger('module_rss')
DATABASE = None
updater = None
botref = None
config = {}
... |
import pytest
import re
import unittest
import metric_learn
import numpy as np
from sklearn import clone
from test.test_utils import ids_metric_learners, metric_learners, remove_y
from metric_learn.sklearn_shims import set_random_state, SKLEARN_AT_LEAST_0_22
def remove_spaces(s):
return re.sub(r'\s+', '', s)
def ... |
import numpy as np
import pandas as pd
import scipy as sc
from scipy.stats import randint, norm, multivariate_normal, ortho_group
from scipy import linalg
from scipy.linalg import subspace_angles, orth
from scipy.optimize import fmin
import math
from statistics import mean
import seaborn as sns
from sklearn.cluster imp... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Usage: %(scriptName) <bug_report_file> <data_prefix>
"""
import json
from timeit import default_timer
import datetime
import numpy as np
import pickle
import sys
from multiprocessing import Pool
from operator import itemgetter
from scipy import sparse
from sklearn.fe... |
import board
from i2cperipheral import I2CPeripheral
from analogio import AnalogOut
from digitalio import DigitalInOut, Direction, Pull
import struct
import math
import time
regs = [0] * 16
index = 0
i2c_addr = 0x68
frame_id = 0
motor_control_mode = 0
backup_mode = 0
motor_switch_state = 0
hall_switch_state = 0
enc... |
"""
PEP 0484 ( https://www.python.org/dev/peps/pep-0484/ ) describes type hints
through function annotations. There is a strong suggestion in this document
that only the type of type hinting defined in PEP0484 should be allowed
as annotations in future python versions.
"""
import re
from parso import ParserSyntaxErro... |
import argparse
import math
import matplotlib.pyplot as plt
import os
import numpy as np
import shutil
import pandas as pd
import seaborn as sns
sns.set()
sns.set_context("talk")
NUM_BINS = 100
path = '../Data/Video_Info/Pensieve_Info/PenieveVideo_video_info'
video_mappings = {}
video_mappings['300'] = '320x180x30_v... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
# vim: set encoding=utf-8
import re
from lxml import etree
import logging
from regparser import content
from regparser.tree.depth import heuristics, rules, markers as mtypes
from regparser.tree.depth.derive import derive_depths
from regparser.tree.struct import Node
from regparser.tree.paragraph import p_level_of
from... |
import os
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import argparse
from tqdm import tqdm
import sys
import distributed as dist
import utils
from models.vqvae import VQVAE, VQVAE_Blob2Full
from models.discriminator import discriminator
visual_folder = '/home2/bipasha31/python_... |
# /***********************************************************************
# Copyright 2019 Google 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/LICE... |
import os
import shutil
import tempfile
from taskmage2.utils import filesystem, functional
from taskmage2.asttree import asttree, renderers
from taskmage2.parser import iostream, parsers
from taskmage2.project import taskfiles
class Project(object):
def __init__(self, root='.'):
""" Constructor.
... |
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@Time : 2019/9/17 15:07
@Author : <NAME>
@FileName: models.py
@GitHub : https://github.com/cRiii
"""
from datetime import datetime
from werkzeug.security import generate_password_hash, check_password_hash
from jaysblog.extensions import db
from flask_login i... |
from django.db import models
from django.core.validators import RegexValidator, ValidationError
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User
from smart_selects.db_fields import ChainedForeignKey, ChainedManyToManyField
from ordered_model.models import OrderedModel
... |
from myhdl import Signal, intbv, block, always_comb, ConcatSignal
import myhdl
from collections import OrderedDict
import keyword
def _is_valid_name(ident: str) -> bool:
'''Determine if ident is a valid register or bitfield name.
'''
if not isinstance(ident, str):
raise TypeError("expected str, b... |
# nuScenes dev-kit.
# Code written by <NAME>, 2020.
import argparse
import gc
import os
import random
from typing import List
from collections import defaultdict
import cv2
import tqdm
from nuimages.nuimages import NuImages
def render_images(nuim: NuImages,
mode: str = 'all',
ca... |
from django.db import models
from django.core.urlresolvers import reverse
from djnfusion import server, key
from django.conf import settings
from jsonfield import JSONField
# TODO: change to this. Currently doesnt work. may have something to do with
# the server not in __init__
# from packages.providers.infusionsoft ... |
#!/usr/bin/env python
#
# Creates resources
# This script creates VPC/security group/keypair if not already present
import logging
import os
import sys
import time
from . import aws_util as u
from . import util
DRYRUN = False
DEBUG = True
# Names of Amazon resources that are created. These settings are fixed across
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2017 <EMAIL>
# Licensed under the MIT license (http://opensource.org/licenses/MIT)
import cffi
import ctypes.util
import platform
ffi = cffi.FFI()
ffi.cdef("""
struct hid_device_info {
char *path;
unsigned short vendor_id;
unsigned short product_id... |
"""
ethereum.py
ethereum.py contains an EthereumClient class that provides functions for interacting
with the Coverage.sol solidity contract on an Ethereum blockchain network.
"""
import asyncio
import datetime
import json
import logging
import os
from ethereum.clients.nats import get_nats_client
from ethereum.config ... |
# -*- coding: UTF-8 -*-
"""
Provides a summary after each test run.
"""
from __future__ import absolute_import, division, print_function
import sys
from time import time as time_now
from behave.model import Rule, ScenarioOutline # MAYBE: Scenario
from behave.model_core import Status
from behave.reporter.base import R... |
#!/usr/bin/env python
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# Written (W) 2008-2009 <NAME>
# Copyright (C) ... |
"""Main farm access."""
from __future__ import annotations
import os
from datetime import datetime
from typing import Dict, Iterable, Iterator, List, Type, Union
from farmos_ext.area import Area
from farmos_ext.asset import Asset, Equipment, Planting
from farmos_ext.log import (Activity, Birth, Harvest, Input, Log, ... |
import dataclasses as dc
from typing import Any, Dict, Iterable, List, Optional
from loguru import logger
from mate3.field_values import FieldValue, ModelValues
from mate3.read import AllModelReads
from mate3.sunspec.fields import IntegerField
from mate3.sunspec.model_base import Model
from mate3.sunspec.models impor... |
#!/usr/bin/env/python3
"""Recipe for training a wav2vec-based ctc ASR system with librispeech.
The system employs wav2vec as its encoder. Decoding is performed with
ctc greedy decoder.
To run this recipe, do the following:
> python train_with_wav2vec.py hparams/train_with_wav2vec.yaml
The neural network is trained on C... |
import os
import platform
import unittest
# ZODB >= 3.9. The blob directory can be a private cache.
shared_blob_dir_choices = (False, True)
RUNNING_ON_TRAVIS = os.environ.get('TRAVIS')
RUNNING_ON_APPVEYOR = os.environ.get('APPVEYOR')
RUNNING_ON_CI = RUNNING_ON_TRAVIS or RUNNING_ON_APPVEYOR
def _do_not_skip(reason):... |
# -*- coding: utf-8 -*-
"""
obspy.io.nied.knet - K-NET/KiK-net read support for ObsPy
=========================================================
Reading of the K-NET and KiK-net ASCII format as defined on
http://www.kyoshin.bosai.go.jp.
"""
from __future__ import (absolute_import, division, print_function,
... |
from data import NumericalField, CategoricalField, Iterator
from data import Dataset
from synthesizer import MaskGenerator_MLP, ObservedGenerator_MLP, Discriminator, Handler, ObservedGenerator_LSTM
from random import choice
import multiprocessing
import pandas as pd
import numpy as np
import torch
import argparse
impor... |
from urllib.parse import parse_qs
from anticaptchaofficial.hcaptchaproxyless import hCaptchaProxyless
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from court_scraper.base.selenium_helpers import Sel... |
# Copyright 2016 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... |
from collections import defaultdict
from celery.task import task
from pandas import concat, DataFrame
from bamboo.core.aggregator import Aggregator
from bamboo.core.frame import add_parent_column, join_dataset
from bamboo.core.parser import Parser
from bamboo.lib.datetools import recognize_dates
from bamboo.lib.jsont... |
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 10 14:31:17 2015
@author: <NAME>.
Description:
This script does CPU and GPU matrix element time complexity
profiling. It has a function which applies the matrix element
analysis for a given set of parameters, profiles the code and
... |
import Sofa
import SofaTest
import SofaPython.Tools
OBJ = SofaPython.Tools.localPath( __file__, "beam.obj" )
RAW = SofaPython.Tools.localPath( __file__, "beam.raw" )
##Check if calling Mapping::init() change anything
#
#The trick is to know that if the option evaluateShapeFunction is activated
#in the ImageGaussPoint... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright: (c) 2017, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
---
module: bigip_device_group_memb... |
# <NAME>, March 2020
# Common code for PyTorch implementation of Copy-Pasting GAN
import copy
import itertools
import matplotlib.pyplot as plt
import numpy as np
import os, platform, time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
f... |
"""The :mod:`mlshell.pipeline.steps` contains unified pipeline steps."""
import inspect
import mlshell
import numpy as np
import pandas as pd
import sklearn
import sklearn.impute
import sklearn.compose
__all__ = ['Steps']
class Steps(object):
"""Unified pipeline steps.
Parameters
----------
estim... |
__all__ = [
'BenchmarksManifest',
'load_manifest',
'parse_manifest',
]
from collections import namedtuple
import os.path
from . import __version__, DATA_DIR
from . import _benchmark, _utils
DEFAULTS_DIR = os.path.join(DATA_DIR, 'benchmarks')
DEFAULT_MANIFEST = os.path.join(DEFAULTS_DIR, 'MANIFEST')
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 1 15:10:45 2019
@author: r17935avinash
"""
################################ IMPORT LIBRARIES ###############################################################
import torch
import numpy as np
import pykp.io
import torch.nn as nn
from utils.statistics... |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import tensorflow as tf
import numpy as np
EPS = 1e-10
def get_required_argument(dotmap, key, message, default=None):
val = dotmap.get(key, default)
if val is default:
raise ValueError(message)... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from numpy import array
from numpy import isnan
from numpy import isinf
from numpy import ones
from numpy import zeros
from scipy.linalg import norm
from scipy.sparse import diags
from compas.numerical import ... |
# Lint as: python3
#
# Copyright 2020 The XLS Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
import collections
from itertools import groupby
from django.db import connections, models, router
from django.db.models.deletion import Collector
from django.utils import encoding
import bleach
import commonware.log
from mkt.site.models import ManagerBase, ModelBase
from mkt.site.utils import linkify_with_outgoing
... |
from flask import render_template, Flask, flash, redirect, url_for, abort, request
from flask_login import login_user, logout_user, login_required
from werkzeug.urls import url_parse
from app import app, db
from app.forms import *
from app.models import *
@app.route('/')
@app.route('/landing')
def landing():
ret... |
# -*- encoding: utf-8 -*-
"""
endpoint_user_tokens.py
"""
from solidata_api.api import *
# from log_config import log, pformat
log.debug(">>> api_auth ... creating api endpoints for USER_TOKENS")
### create namespace
ns = Namespace('tokens', description='User : tokens freshening related endpoints')
### import mo... |
# 分析黑魔法防御课界面
import cv2
import sys
sys.path.append(r"C:\\Users\\SAT") # 添加自定义包的路径
from UniversalAutomaticAnswer.conf.confImp import get_yaml_file
from UniversalAutomaticAnswer.screen.screenImp import ScreenImp # 加入自定义包
from UniversalAutomaticAnswer.ocr.ocrImp import OCRImp
from UniversalAutomaticAnswer.util.filter imp... |
import logging
from datetime import datetime, timedelta
import requests
from core.utils.customClasses import UserFilter
from core.utils.default_responses import (api_accepted_202,
api_bad_request_400,
api_block_by_policy_451,
... |
import datetime
from typing import List
from reminders.events import Buttons, Alerts
from reminders.screen import Screen
# highest level, things that can be in a list menu
class ListMenuItem:
def __init__(self, name):
self._name = str(name)
@property
def name(self):
return self._name
... |
# encoding=utf-8
"""
Misc PyTorch utils
Author: <EMAIL>
update 12.7
Usage:
`from torch_utils import *`
`func_name()` # to call functions in this file
"""
from datetime import datetime
import math
import os
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
#########################... |
# This a training script launched with py_config_runner
# It should obligatory contain `run(config, **kwargs)` method
import sys
from collections.abc import Mapping
from pathlib import Path
import torch
from apex import amp
from dataflow.datasets import VOCSegmentationOpencv
from py_config_runner.config_utils import ... |
#!/usr/bin/env python
u"""
radial_basis.py
Written by <NAME> (01/2022)
Interpolates data using radial basis functions
CALLING SEQUENCE:
ZI = radial_basis(xs, ys, zs, XI, YI, polynomial=0,
smooth=smooth, epsilon=epsilon, method='inverse')
INPUTS:
xs: scaled input X data
ys: scaled input Y data
... |
import os
import sys
import glob
import time
import copy
import random
import numpy as np
import utils
import logging
import argparse
import tensorflow as tf
import tensorflow.keras as keras
from model import NASNetworkCIFAR
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# os.environ['CUDA_VISIBLE_DEVICES'] = '1'
# Basic m... |
import argparse,time,os,pickle
import matplotlib.pyplot as plt
import numpy as np
from player import *
plt.switch_backend('agg')
np.set_printoptions(precision=2)
class lemon:
def __init__(self, std, num_sellers, num_actions, unit, minx):
self.std = std
self.unit = unit
self.num_sellers = num_sellers
self.nu... |
# -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... |
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