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#!/usr/bin/env python3
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (c) 2019, Linaro Limited
#
from __future__ import print_function
from __future__ import division
import argparse
import sys
import struct
import re
import hashlib
try:
from elftools.elf.elffile import ELFFile
from elftools.elf.consta... |
################################################################################
# Copyright (c) 2015-2018 Skymind, Inc.
#
# This program and the accompanying materials are made available under the
# terms of the Apache License, Version 2.0 which is available at
# https://www.apache.org/licenses/LICENSE-2.0.
#
# Unless... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Author: <NAME> <<EMAIL>>
#
# 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 requir... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
from __future__ import absolute_import
from __future__ import print_function
import datetime
import os
import random
import sys
import uuid
import base64
import yaml
import re
try:
import en
except:
print("DOWNLOD NODECUBE")
print("""wget https://www.nodebox.net/code/data/media/linguistics.zip
unzip lingui... |
# Copyright (c) 2010-2012 OpenStack Foundation
#
# 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 agree... |
# coding=utf-8
import ee
from . import utils
import json
import csv
from .. import tools
def fromShapefile(filename, crs=None, start=None, end=None):
""" Convert an ESRI file (.shp and .dbf must be present) to a
ee.FeatureCollection
At the moment only works for shapes with less than 1000 records and does... |
"""
Contains functions to generate and combine a clustering ensemble.
"""
import numpy as np
import pandas as pd
from sklearn.metrics import pairwise_distances
from sklearn.metrics import adjusted_rand_score as ari
from sklearn.metrics import adjusted_mutual_info_score as ami
from sklearn.metrics import normalized_mutu... |
#!/usr/bin/env python
"""Schema validation of ansible-core's ansible_builtin_runtime.yml and collection's meta/runtime.yml"""
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import datetime
import os
import re
import sys
from distutils.version import StrictVersion, LooseVersion
... |
# *****************************************************************************
# Copyright (c) 2020, Intel Corporation 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 sou... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
#!/usr/bin/env python3
"""
Copyright (c) 2018-2021 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.apache.org/licenses/LICENSE-2.0
Unless required by applic... |
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.shortcuts import render
from django.urls import reverse
from django.http import HttpResponseRedirect, HttpResponse
from django.utils import timezone
from olaf.models import *
from olaf.forms import *
from... |
# This is the code to train the xgboost model with cross-validation for each unique room in the dataset.
# Models are dumped into ./models and results are dumped into two csv files in the current work directory.
import argparse
import json
import math
import os
import pickle
import warnings
from typing import Tuple
i... |
# Copyright 2019 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from load_cora import load_cora
from baseline_model import create_ffn
from utils import run_experiment
from utils import display_learning_curves
# Graph convolution layer
class GraphConvLayer(layers.Layer):
def __init__(
... |
from tqdm import tqdm
import pandas as pd
import numpy as np, argparse, time, pickle, random, os, datetime
import torch
import torch.optim as optim
from model import MaskedNLLLoss, BC_LSTM
from dataloader import MELDDataLoader
from sklearn.metrics import f1_score, confusion_matrix, accuracy_score, classification_re... |
import os
import h5py
import nibabel as nb
import numpy as np
import torch
import torch.utils.data as data
from torchvision import transforms
import utils.preprocessor as preprocessor
# transform_train = transforms.Compose([
# transforms.RandomCrop(200, padding=56),
# transforms.ToTensor(),
# ])
class Imdb... |
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import plotly.express as px
from plotly.subplots import make_subplots
import pandas as pd
import math
from datetime import datetime, time
from utils import MONTH_NAMES, month_range
def section(title, content, gray=Fa... |
import copy
import numpy as np
import open3d as o3d
from tqdm import tqdm
from scipy import stats
import utils_o3d as utils
def remove_ground_plane(pcd, z_thresh=-2.7):
cropped = copy.deepcopy(pcd)
cropped_points = np.array(cropped.points)
cropped_points = cropped_points[cropped_points[:, -1] > z_thresh... |
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
import sympy as sp
from .global_qbx import global_qbx_self
from .mesh import apply_interp_mat, gauss_rule, panelize_symbolic_surface, upsample
def find_dcutoff_refine(kernel, src, tol, plot=False):
# prep step 1: find d_cutoff and d_... |
from setuptools import setup, Extension, find_packages
import subprocess
import errno
import re
import os
import shutil
import sys
import zipfile
from urllib.request import urlretrieve
import numpy
from Cython.Build import cythonize
isWindows = os.name == 'nt'
isMac = sys.platform == 'darwin'
is64Bit = sys.maxsize... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import te... |
# Copyright (C) 2013 Deutsche Telekom AG
# 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 r... |
import json
import os
import random
import requests
from passlib.hash import pbkdf2_sha256 as pbk
from PyQt5.QtSql import QSqlDatabase, QSqlQuery
from pprint import pprint
ENCODING = 'utf-8'
DB_PATH = os.path.join(os.path.curdir, 'inventory.db')
def scrambleWord(word):
"""Randomize the letters in word and retur... |
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
data = pd.read_csv("data.csv")
data.info()
"""
Data columns (total 33 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 id 569 no... |
from django.http import Http404
from django.shortcuts import render, redirect, reverse
from django.views.generic import ListView
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.models import User
from rest_framework import st... |
# 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... |
"""Tests for core.billing.
Run this test from the project root
$ nosetests core.tests.billing_tests
Copyright (c) 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. An additional grant
of ... |
import sqlite3
import os
import datetime
__all__ = ['DMARCStorage', 'totimestamp']
def totimestamp(datetime_object):
if datetime_object.utcoffset() is not None:
utc_naive = datetime_object.replace(tzinfo=None) - datetime_object.utcoffset()
else:
utc_naive = datetime_object
return (utc_nai... |
'''
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
Code taken from: https://github.com/facebookresearch/wsd-biencoders/blob/master/wsd_models/util.py
'''
import os
import re
impo... |
import torch
import torch.nn.functional as F
import pandas as pd
import numpy as np
from torch_geometric.data import Data
from torch_geometric.nn import GCNConv, PairNorm
from torch_geometric.utils.undirected import to_undirected
import random
import matplotlib.pyplot as plt
data_name = 'citeseer' # 'cora' or 'ci... |
"""
Author: <NAME>
"""
import numpy as np
import pandas as pd
from datetime import datetime
class TrackerFeeder(object):
"""
Feeder for the trackers of the FinanceHub database.
"""
def __init__(self, db_connect):
"""
Feeder construction
:param db_connect: sql connection engin... |
"""
This file is part of LiberaForms.
# SPDX-FileCopyrightText: 2020 LiberaForms.org
# SPDX-License-Identifier: AGPL-3.0-or-later
"""
import os, json
from flask import g, request, render_template, redirect
from flask import session, flash, Blueprint
from flask import send_file, after_this_request
from flask_babel imp... |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
#############################################################
# File: network_models_LSTU.py
# Created Date: Tuesday February 25th 2020
# Author: <NAME>
# Email: <EMAIL>
# Last Modified: Tuesday, 25th February 2020 9:57:06 pm
# Modified By: <NAME>
# Copyright (c) 2020 Shan... |
#!/usr/bin/env python3
import json
import argparse
import re
import datetime
import paramiko
import requests
# cmd ['ssh', 'smart',
# 'mkdir -p /home/levabd/smart-home-temp-humidity-monitor;
# cat - > /home/levabd/smart-home-temp-humidity-monitor/lr.json']
from miio import chuangmi_plug
from btlewrap import availabl... |
import torch.nn as nn
import math
import torch.utils.model_zoo as model_zoo
import torch.nn.functional as F
import torch
import numpy as np
import cv2
import pdb
def sigmoid(x):
return 1 / (1 + math.exp(-x))
def norm_angle(angle):
norm_angle = sigmoid(10 * (abs(angle) / 0.7853975 - 1))
return norm_angle
... |
import numpy as np
import random
import sys
chainlength = int(sys.argv[1])
dfname = sys.argv[2]
outfl = 'result.data'
cluster_size = int(sys.argv[3])
def readsize(dfname):
with open(dfname, 'r') as df:
lines = df.readlines()
for line in lines:
content = line.split()
if content and cont... |
import time
from collections import OrderedDict
from datetime import datetime, timedelta
from django.db import models
from django.conf import settings
from django.utils.timezone import utc
from .skills import Skill, SkillGroup
from metrics.models import Corporation
from tasks.models import EveApiCache, Task
from evet... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 29 13:38:35 2021
GROUND INVASION! The Game
@author: <NAME> (<EMAIL>)
"""
# Packages used:
import numpy as np
import pandas as pd
import random as rng
from termcolor import colored
# Defining starting forces
## Defenders:
def_force = 1250
def_reserves = ... |
import pickle
import numpy as np
import os
def _analyze_query_point_assignment(
query_data_dict: dict,
init_Rdata_dict: dict,
init_Edata_dict: dict,
num_R: int,
query_point_assignment_array: np.ndarray,
root: str,
n_points_to_copy=50,
):
"""
Analyzes and visualizes qDCA results.
... |
#!/usr/bin/env python3
###############################################################################
#
# Category Summaries
#
#
###############################################################################
import datetime
import io
import json
import logging
import pprint
import sys
from typing import Dict, Any
... |
import os
import sys
import argparse
import json
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from arch2vec.models.pretraining_nasbench101 import configs
from arch2vec.utils import load_json, preprocessing, one_hot_darts
from arch2vec.preprocessing.gen_is... |
import numpy as np
import astropy.modeling.blackbody as bb
import astropy.constants as const
from astropy.io import fits
from scipy.interpolate import interp2d
class FaiglerMazehFit():
def __init__(self, P_orb, inc, R_star, M_star, T_star, A_ellip=False, A_beam=False,
R_p=False, a=False, u=False, g=0.65, logg=... |
#!/usr/bin/env python
#
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import json
import logging
import optparse
import os
import sys
import tempfile
import zipfile
from util import build_utils
def _C... |
import legacy_code.tf_cnn_siamese.configurations as conf
import tensorflow as tf
import numpy as np
def construct_cnn(x, conv_weights, conv_biases, fc_weights, fc_biases,
dropout = False):
"""
constructs the convolution graph for one image
:param x: input node
:param conv_weights: convolutio... |
from typing import (
Any,
cast,
List,
Optional,
Type
)
import lpp.ast as ast
from lpp.builtins import BUILTINS
from lpp.object import(
Boolean,
Builtin,
Environment,
Error,
Function,
Integer,
Null,
Object,
ObjectType,
String,
Return
)
TRUE = Boolean(True... |
import sbol2
import pandas as pd
import os
import logging
from openpyxl import load_workbook
from openpyxl.worksheet.table import Table, TableStyleInfo
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.styles import Font, PatternFill, Border, Side
from requests_html import HTMLSession
#wasderivedfro... |
# Copyright 2018 The AI Safety Gridworlds 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 b... |
# The MIT License (MIT)
# Copyright (c) 2018 by EUMETSAT
#
# 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, modify,... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 14 10:37:04 2021
@author: <NAME>
"""
#calculates trajectory of small mass positioned close to L4 Lagrange point
#creates gif as output
import math
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation, PillowWriter
Distan... |
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
def seasonality_model(thetas, t, device):
p = thetas.size()[-1]
assert p < 10, 'thetas_dim is too big.'
p1, p2 = (p // 2, p // 2) if p % 2 == 0 else (p // 2, p // 2 + 1)
s1 = torch.tensor([np.cos(2 * np.pi * i * ... |
import unittest
import os
from pyxdsm.XDSM import XDSM, __file__
from numpy.distutils.exec_command import find_executable
def filter_lines(lns):
# Empty lines are excluded.
# Leading and trailing whitespaces are removed
# Comments are removed.
return [ln.strip() for ln in lns if ln.strip() and not ln.... |
"""
StarGAN v2
Copyright (c) 2020-present NAVER Corp.
This work is licensed under the Creative Commons Attribution-NonCommercial
4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
Creative Commons, PO Box 1866, Mountain View, CA 94042, US... |
"""
Utility functions and classes shared by multiple backends
"""
from collections import namedtuple
import logging
from . import symbols
from . import types
LOGGER = logging.getLogger('spc.backend_utils')
# NameContexts encapsulate both the function stack (which holds values) and
# the symbol table context (which b... |
from estimagic.inference.ml_covs import cov_cluster_robust
from estimagic.inference.ml_covs import cov_hessian
from estimagic.inference.ml_covs import cov_jacobian
from estimagic.inference.ml_covs import cov_robust
from estimagic.inference.ml_covs import cov_strata_robust
from estimagic.inference.shared import calculat... |
import six
import chainer
import numpy as np
import chainer.links as L
import chainer.functions as F
import nutszebra_chainer
import functools
from collections import defaultdict
class Conv(nutszebra_chainer.Model):
def __init__(self, in_channel, out_channel, filter_size=(3, 3), stride=(1, 1), pad=(1, 1)):
... |
# Copyright 2012 Nebula, 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 agree... |
import calendar
from datetime import datetime, timedelta
import json
import logging
import re
import rfc822
from django.conf import settings
from django.db.utils import IntegrityError
import cronjobs
from multidb.pinning import pin_this_thread
from statsd import statsd
from twython import Twython
from kitsune.custom... |
import numpy as np
import pandas as pd
from scipy.stats import spearmanr
from sklearn.metrics import f1_score, precision_score, recall_score
from IPython.display import display, clear_output
from sklearn.metrics import confusion_matrix
import scipy.stats as st
def continuous_to_categorical_with_quantiles(data: np.nda... |
# vim:set et sw=4 ts=4:
import logging
import sys
import jmespath
from . import sis, classes
# logging
logging.basicConfig(stream=sys.stdout, level=logging.WARNING)
logger = logging.getLogger(__name__)
# SIS endpoint
enrollments_uri = "https://apis.berkeley.edu/sis/v2/enrollments"
# apparently some courses have LA... |
from flatland.envs.agent_utils import RailAgentStatus
from flatland.envs.malfunction_generators import malfunction_from_params, MalfunctionParameters
from flatland.envs.observations import GlobalObsForRailEnv
from flatland.envs.rail_env import RailEnv
from flatland.envs.rail_generators import sparse_rail_generator
from... |
import os
from tensorflow.contrib.learn.python.learn.datasets import base
import numpy as np
import IPython
from subprocess import call
from keras.preprocessing import image
from influence.dataset import DataSet
from influence.inception_v3 import preprocess_input
BASE_DIR = 'data' # TODO: change
def fill(X, Y, id... |
"""AMQP Table Encoding/Decoding"""
import struct
import decimal
import calendar
from datetime import datetime
from pika import exceptions
from pika.compat import unicode_type, PY2, long, as_bytes
def encode_short_string(pieces, value):
"""Encode a string value as short string and append it to pieces list
ret... |
# define custom R2 metrics for Keras backend
from keras import backend as K
def r2_keras(y_true, y_pred):
SS_res = K.sum(K.square( y_true - y_pred ))
SS_tot = K.sum(K.square( y_true - K.mean(y_true) ) )
return ( 1 - SS_res/(SS_tot + K.epsilon()) )
# base model architecture definition
def model():
... |
#@contact <NAME> (<EMAIL>), Georgia Institute of Technology
#@version 1.0
#@date 2021-08-17
#Influence-guided Data Augmentation for Neural Tensor Completion (DAIN)
#This software is free of charge under research purposes.
#For commercial purposes, please contact the main author.
import torch
from torch imp... |
"""Subdivided icosahedral mesh generation"""
from __future__ import print_function
import numpy as np
# following: http://blog.andreaskahler.com/2009/06/creating-icosphere-mesh-in-code.html
# hierarchy:
# Icosphere -> Triangle -> Point
class IcoSphere:
"""
Usage: IcoSphere(level)
Maximum supported level =... |
#!/usr/bin/env python
# Copyright JS Foundation and other contributors, http://js.foundation
#
# 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.... |
from __future__ import division
from cctbx.array_family import flex
from cctbx import xray
from cctbx import crystal
from cctbx import maptbx
from cctbx.maptbx import minimization
from libtbx.test_utils import approx_equal
import random
from cctbx.development import random_structure
from cctbx import sgtbx
if (1):
r... |
#!/usr/bin/env python
"""This tool builds or repacks the client binaries.
This handles invocations for the build across the supported platforms including
handling Visual Studio, pyinstaller and other packaging mechanisms.
"""
import logging
import os
import platform
import time
# pylint: disable=unused-import
from ... |
# -*- coding: utf-8 -*-
# catapult: runs python scripts in already running processes to eliminate the
# python interpreter startup time.
#
# The lexicon for sparv.saldo.annotate and sparv.saldo.compound can be pre-loaded and
# shared between processes. See the variable annotators in handle and start.
#
# Run scripts in... |
# -*- coding: utf-8 -*-
'''
Execute salt convenience routines
'''
# Import python libs
from __future__ import print_function
from __future__ import absolute_import
import collections
import logging
import time
import sys
import multiprocessing
# Import salt libs
import salt.exceptions
import salt.loader
import salt.m... |
# -*- coding: utf-8 -*-
# vispy: gallery 10
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import sys
import numpy as np
from vispy import app, gloo, visuals
from vispy.visuals.filters import Clipper, ColorFilter
from vispy.visual... |
#!/usr/bin/env python
"""
Info: This script loads the model trained in the cnn-asl.py script and enables the user to use it for classifying unseen ASL letters. It also visualizes the feature map of the last convolutional layer of the network to enable the user to get an insight into exactly which parts of the original ... |
import json
from btse_futures.constants import OrderType, Side, TimeInForce
class Order:
"""
Class to represent a BTSE Order
...
Attributes
----------
size : int
order quantity or size. e.g. 1
price : float
price. e.g. 7000.0
side: str
order side. B... |
from time import time
from typing import Type, TypeVar, MutableMapping, Any, Iterable, Generator, Union
import arrow
import datetime
import math
from datapipelines import DataSource, PipelineContext, Query, NotFoundError, validate_query
from .common import RiotAPIService, APINotFoundError
from ...data import Platform... |
"""
This caching is very important for speed and memory optimizations. There's
nothing really spectacular, just some decorators. The following cache types are
available:
- module caching (`load_parser` and `save_parser`), which uses pickle and is
really important to assure low load times of modules like ``numpy``.
-... |
'''
Created on Mar 22, 2018
Edited on Jan 11, 2019
@author: npvance2
@author: curtisd2
Variables that will need to be edited/personalized:
monitorID in Variables() (line 27)
projectStartDate in Variables() (line 28)
projectEndDate in Variables() (line 29)
authToken in getAuthToken() (... |
"""Implements the generic progress logger class, and the ProgressBar class.
"""
from tqdm import tqdm, tqdm_notebook
from collections import OrderedDict
import time
SETTINGS = {
'notebook': False
}
def notebook(turn='on'):
SETTINGS['notebook'] = True if (turn == 'on') else False
def troncate_string(s, max_l... |
"""
@Time : 201/21/19 10:41
@Author : TaylorMei
@Email : <EMAIL>
@Project : iccv
@File : train_base3.py
@Function:
"""
import datetime
import os
import torch
from torch import nn
from torch import optim
from torch.autograd import Variable
from torch.backends import cudnn
from torch.utils.data import... |
import numpy as np
from pydmfet import tools
from .fermi import find_efermi, entropy_corr
from pyscf import ao2mo, gto, scf, dft, lib
from pydmfet.qcwrap import fermi
import time
from functools import reduce
def scf_oei( OEI, Norb, Nelec, smear_sigma = 0.0):
OEI = 0.5*(OEI.T + OEI)
eigenvals, eigenvecs = np.l... |
"""Unit tests."""
import inspect
import json
from mock import Mock
import os
import sys
import uuid
import pytest
# Add the lambda directory to the python library search path
lambda_dir = os.path.join(
os.path.dirname(inspect.getfile(inspect.currentframe())), '..')
sys.path.append(lambda_dir)
import lambdautils... |
from django.db import router
from django.db.models import Q, Manager
from django.db import connections
from .contenttypes import ct, get_content_type
from .query import GM2MTgtQuerySet
class GM2MBaseManager(Manager):
use_in_migration = True
def __init__(self, instance):
super(GM2MBaseM... |
"""
Adapted from OpenAI Baselines.
"""
import numpy as np
import tensorflow as tf # pylint: ignore-module
import random
import copy
import os
import functools
import collections
import multiprocessing
def switch(condition, then_expression, else_expression):
"""Switches between two operations depending on a scala... |
"""
Autonomous dataset collection of data for jetson nano
<NAME> - <EMAIL>
"""
import datasets
import json
from datasets import Board, ChessPiece, PieceColor, PieceType
#from realsense_utils import RealSenseCamera
import preprocessing as pr
import cv2
import pandas as pd
import os
from os.path import isfile, join
im... |
from sympy import (
limit,
Symbol,
oo,
sqrt,
Rational,
log,
exp,
cos,
sin,
tan,
pi,
asin,
together,
root,
S,
)
# Numbers listed with the tests refer to problem numbers in the book
# "Anti-demidovich, problemas resueltos, Ed. URSS"
x = Symbol("x")
def test_... |
#! /usr/bin/env python3
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import argparse
import xml.etree.ElementTree as ET
import os
import sys
import shutil
import ate... |
from datetime import datetime
import warnings
import logging
from django.db.models import Q, Case, Value, When
from django.core.cache import caches, CacheKeyWarning
import django.apps
from usaspending_api.references.models import Agency, Location, RefCountryCode
from usaspending_api.references.helpers import canonica... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 21 11:11:56 2020
This program is use to plot polarization map from vlbi fits image.
You should specify the input fits images by -i or --infile,
output file by -o or --output,
contour levs by -l or --levs
contour base by -c or --cmul
polarization... |
"""Handles data storage for Users, rides and requests
"""
# pylint: disable=E1101
import datetime
from flask import make_response, jsonify, current_app
from werkzeug.security import generate_password_hash
import psycopg2
import config
from databasesetup import db
class User():
"""Contains user columns and method... |
import urllib.parse
import webbrowser
import json
from xml.etree import ElementTree
import sublime
import SublimeHaskell.sublime_haskell_common as Common
import SublimeHaskell.internals.utils as Utils
import SublimeHaskell.internals.unicode_opers as UnicodeOpers
import SublimeHaskell.symbols as symbols
import Sublim... |
# PassWord - The Safe Password Generator App!
# importing the tkinter module for GUI
from tkinter import *
# importing the message box widget from tkinter
from tkinter import messagebox
# importing sqlite3 for database
import sqlite3
# importing random for password generation
import random
# creatin... |
# <NAME> (<EMAIL>)
from __future__ import division, print_function
from builtins import range
import numpy as np
import scipy.stats as ss
import mlpaper.constants as cc
import mlpaper.mlpaper as bt
import mlpaper.perf_curves as pc
from mlpaper.classification import DEFAULT_NGRID, curve_boot
from mlpaper.test_constan... |
#!/usr/bin/python3
"""
Read "lspci -v" and "glxinfo" outputs
"""
import re
from dataclasses import dataclass
from InputFileNotFoundError import InputFileNotFoundError
@dataclass
class VideoCard:
type = "graphics-card"
manufacturer_brand = ""
reseller_brand = ""
internal_name = ""
model = ""
... |
from argparse import ArgumentParser
import os
import numpy as np
from joblib import dump
from mldftdat.workflow_utils import SAVE_ROOT
from mldftdat.models.gp import *
from mldftdat.data import load_descriptors, filter_descriptors
import yaml
def parse_settings(args):
fname = args.datasets_list[0]
if args.suff... |
"""
********************************
* Created by mohammed-alaa *
********************************
Spatial Dataloader implementing sequence api from keras (defines how to load a single item)
this loads batches of images for each iteration it returns [batch_size, height, width ,3] ndarrays
"""
import copy
import ran... |
from io import TextIOWrapper
import math
from typing import TypeVar
import random
import os
from Settings import Settings
class Dataset:
DataT = TypeVar('DataT')
WIN_NL = "\r\n"
LINUX_NL = "\n"
def __init__(self, path:str, filename:str, newline:str = WIN_NL) -> None:
self.path_ = path
self.f... |
# -*- coding: utf-8 -*-
from __future__ import division
from datetime import datetime, timedelta
import logging
import os
from guessit import guessit
logger = logging.getLogger(__name__)
#: Video extensions
VIDEO_EXTENSIONS = ('.3g2', '.3gp', '.3gp2', '.3gpp', '.60d', '.ajp', '.asf', '.asx', '.avchd', '.avi', '.bik'... |
"""
Summary:
Utility Functions that could be helpful in any part of the API.
All functions that are likely to be called across a number of classes
and Functions in the API should be grouped here for convenience.
Author:
<NAME>
Created:
01 Apr 2016
Copyright:
... |
from core.celery.config import ERIGONES_TASK_USER
from que.tasks import execute, get_task_logger
from vms.models import SnapshotDefine, Snapshot, BackupDefine, Backup, IPAddress
logger = get_task_logger(__name__)
def is_vm_missing(vm, msg):
"""
Check failed command output and return True if VM is not on comp... |
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