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#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# <NAME> <<EMAIL>>
import logging
import sys
import dask
from dask_jobqueue.core import Job, JobQueueCluster
from distributed.deploy import Adaptive
from distributed.scheduler import Scheduler
from bob.extension import rc
from .sge_queues import QUEUE_DEFAULT
... |
import torch.nn as nn
import torch
import numpy as np
import torch.nn.functional as F
from ssd.modeling.multibox_loss import MultiBoxLoss
from ssd.module import L2Norm
from ssd.module.prior_box import PriorBox
from ssd.utils import box_utils
from torch.nn.functional import binary_cross_entropy
class SSD(nn.Module):... |
import os
import json
import argparse
#from time import time
import time
import cv2
import torch
from torch import nn
import numpy as np
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from visualization import visualize_annotations, add_label
from lib.utils.config_parse import cfg_from_fi... |
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
import os
import posixpath
import numpy as np
import pandas
import tables
import warnings
from pyiron_base import Gener... |
import logging
from abc import ABC, abstractmethod
from collections import defaultdict
from dataclasses import dataclass, field
from typing import (
Callable,
Dict,
Iterable,
List,
NamedTuple,
Optional,
Sequence,
Set,
Tuple,
TypeVar,
Union
)
from sciencebeam_trainer_delft.se... |
#!/usr/bin/python3
import sys, os, argparse, re, functools, pathlib, gzip
from requests import Session
from copy import deepcopy
#import websocket
def eprint(*args, **kwargs): print(*args, file=sys.stderr, **kwargs)
def noprint(*args, **kwargs): pass
try:
from lxml import etree
except ImportError:
eprint("ERR... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""Datafra... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012-2013 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at http://trac.edgewall.org/wiki/TracLicense.
#
# This software consi... |
# --------------------------------------------------------
# Model from official source: https://github.com/ShoufaChen/CycleMLP
# --------------------------------------------------------
import math
import torch
import torch.nn as nn
from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
from timm.models.fe... |
#!/usr/bin/env python3
import argparse
import sys
import os
import re
import time
import json
import signal
import socket
import random
import threading
import hashlib
import base64
import textwrap
import tempfile
import logging
try:
import vim
except Exception:
from vimstub import vim
import http.server as... |
#!/usr/bin/env python3
import argparse
import datetime
import glob
import hashlib
import json
import logging
import os
import typing
from enum import Enum
import requests
import requests.adapters
__version__ = "1.0.0"
class FixedTimeoutAdapter(requests.adapters.HTTPAdapter):
def send(self, *args, **kwargs):
... |
"""
* Copyright (c) 2021, NVIDIA 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 applicable law... |
# Copyright 2018 MLBenchmark Group. 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 l... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""This module corresponds to the trace directory in idlutils.
Traceset (or "trace set"):
A set of coefficient vectors defining a set of functions
over a common independent-variable domain specified by ``xmin``
and ``xm... |
import os
import numpy as np
from PIL import Image
import cv2
import torch
from datetime import datetime
import sys
import math
from torchvision.utils import make_grid
import torchvision.transforms as transforms
def get_timestamp():
return datetime.now().strftime('%y%m%d-%H%M%S')
def tensor2img(tensor, out_type=n... |
import re
import pandas as pd
import numpy as np
import time
import constants
import pickle
# Cleansing
def cleanse(text):
"""
Clean up the text a little by removing punctuation, extra spaces, new lines, etc.
This should be run after split_to_sentences(), tokenize_by_sentence() because I think it removes... |
# 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... |
#
# MIT License
#
# Copyright (c) 2020 Airbyte
#
# 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, merge, pu... |
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
import abc
from enum import Enum
import six
from cryptography import ut... |
# -*- coding: utf-8 -*-
"""AutoBazaar Search Module.
This module contains the PipelineSearcher, which is the class that
contains the main logic of the Auto Machine Learning process.
"""
import gc
import itertools
import json
import logging
import os
import signal
import warnings
from collections import defaultdict
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Functions to deal with catalog."""
import os
import copy
import distutils.spawn
from shutil import copyfile
import numpy as np
from scipy.spatial import cKDTree
from astropy.table import Table, Column, vstack
from dsigma import helpers
from . import hsc
from . impo... |
# coding:utf-8
"""The domain-specific adapters.
An adapter is an object that provides domain-specific apis for another object,
called adaptee.
Examples are: XMLValidator and XMLPacker objects, which provide SciELO PS
validation behaviour and packaging functionality, respectively.
"""
from __future__ import unicode_li... |
""" Statistics-related functions.
"""
# p2.6+ compatibility
from __future__ import division, print_function, unicode_literals
try:
unicode
except NameError:
unicode = basestring = str
xrange = range
import numpy as np
from .utilities import between
import astropy.units as u
def _bisect(func, target, xlo=... |
#!/usr/bin/env python3
# @Time : 31/5/20 11:07 AM
# @Author : fangcheng.ji
# @FileName: dataset_mapper.py
import copy
import logging
import numpy as np
import torch
from fvcore.common.file_io import PathManager
from PIL import Image
import random
from detectron2.data import detection_utils as utils
from detectron... |
# coding=utf-8
# Copyright 2021 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... |
import copy
import os
import numpy as np
import torch
import torch.nn as nn
from reinforcement_learning.policy import LearningPolicy
from reinforcement_learning.replay_buffer import ReplayBuffer
# https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html
class EpisodeBuffers:
def __init_... |
# __author__ = '<NAME>'
# Created 12/7/2017
# Last edit 12/7/2017
#Purpose:
#-----------------
# (a) To read read the segmented image
# To create functions for:
# (b) appropritaely assign training data
# (c) train the classifier
# (c) Following https://github.com/machinalis/sa... |
from collections import OrderedDict
import torch
from torch import nn
from torchvision.ops import MultiScaleRoIAlign
from torchvision.models.utils import load_state_dict_from_url
from torchvision.models.detection.faster_rcnn import FasterRCNN
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone... |
"""
Copyright 2019 ETH Zurich, <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, modify, merge, publish, distribute,... |
'''
###
# Name: letsencrypt_mgmt_profile.py
# Version: 0.9.0
# License: MIT
#
# Description -
# This is a python script used for automatically requesting and renewing certificates
# from and via Let's Encrypt.
#
# Setup -
# 1. This content needs to be imported in the Avi Controller in the settings menu
#... |
#!/usr/bin/env python
from glob import glob
from accessoryFunctions.accessoryFunctions import *
import shutil
__author__ = 'adamkoziol'
def relativesymlink(src_file, dest_file):
"""
https://stackoverflow.com/questions/9793631/creating-a-relative-symlink-in-python-without-using-os-chdir
:param src_file: ... |
import csv
import argparse
import os
import tempfile
import json
import warnings
from subprocess import PIPE, Popen
from sys import argv
from datetime import datetime
import pandas as pd
from sklearn.cluster import KMeans
import ntpath
import webbrowser
from distutils.dir_util import copy_tree, remove_tree
# HTML temp... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import datetime
import hashlib
import random
from CTFd import create_app
from CTFd.models import Teams, Solves, Challenges, WrongKeys, Keys, Files, Awards
app = create_app()
USER_AMOUNT = 50
CHAL_AMOUNT = 20
AWARDS_AMOUNT = 5
categories = [
'Exploitation',
'Reversi... |
from django.db.models import Count, Avg, Min, Max
from collections import defaultdict
from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import TemplateView, View
from common.models import ReleaseNotes
from common.phylogenetic_tree import PhylogeneticTreeGenerator
from c... |
import pandas as pd
import random
import datetime
import pymongo
from pymongo import MongoClient
import collections
import bson
from bson.codec_options import CodecOptions
df = pd.read_excel("output.xlsx")
conditions_dict = {'Fibroadenoma':0,
'Papilloma':25,
'Condition 1': 50,
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 2 14:43:48 2020
@author: afo
"""
import pandas as pd
import os
from os import listdir
from os.path import abspath, isfile, join
from inspect import getsourcefile
import operator
from math import nan
import numpy as np
# custom function
from get_av... |
# -*- coding: utf8 -*-
# Copyright 2017 Lockheed Martin 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 ... |
## This file is part of Scapy
## See http://www.secdev.org/projects/scapy for more informations
## Copyright (C) <NAME> <<EMAIL>>
## This program is published under a GPLv2 license
## Netflow V5 appended by spaceB0x and <NAME>
## Netflow V9 appended ny <NAME>
"""
Cisco NetFlow protocol v1, v5 and v9
HowTo debug Netfl... |
# Electrophysiology
# Monodomain with Hodgkin-Huxley model as rhs. This also demonstrates how to pass on algebraic values to the diffusion solver.
# The paraview output files will include the selected algebraic values no. 0,1 and 2 of the CellML problem.
# Adjust "algebraicsForTransfer" and "statesForTransfer" to sele... |
from keras.engine import Input, Model
from keras.layers import (Activation, BatchNormalization, Conv3D,
Deconvolution3D, Dense, GlobalAveragePooling3D,
MaxPooling3D, Permute, PReLU, Reshape, UpSampling3D,
multiply, Add)
from unet3d.model.blo... |
import json
import tkinter as tk
from tkinter import ttk
from tkinter.filedialog import askopenfilename
import tweepy
from PIL import ImageTk, Image
from decouple import config
import webbrowser
from tweet_reader import convert_js_file, grab_bad_words
# Main app
class TweetDelete(tk.Tk):
def __init__(self, *args,... |
# -*- coding: utf-8 -*-
# Python2 Compatibility
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import json
import conda_content_trust.metadata_construction as cct_metadata_construction
import conda_content_trust.common as cct_common
import conda_content_trust.signing as ... |
from __future__ import division
from openconcept.components.motor import SimpleMotor
from openconcept.components.splitter import PowerSplit
from openconcept.components.generator import SimpleGenerator
from openconcept.components.turboshaft import SimpleTurboshaft
from openconcept.components.battery import SimpleBatter... |
# =============================================================================
# Copyright 2020 NVIDIA. All Rights Reserved.
# Copyright 2019 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 obt... |
# Copyright 2018 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/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... |
"""
Define core network.
Written by <NAME>
"""
import os
import sys
import configparser
import csv
import fiona
import time
from shapely.geometry import shape, Point, LineString, mapping
from shapely.ops import cascaded_union
import networkx as nx
from rtree import index
from collections import OrderedDict
CONFI... |
# -*- coding: utf-8 -*-
# Copyright 2018-2020 Streamlit 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 applicabl... |
# 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, ... |
'''
This script is the processing pipeline used to create the "automatic" datasets files shown in DGML.
The automatic datasets are those that are not curated but created by this script.
There are ___ steps in this pipeline:
1. Get csv files' paths from dataset_path input parameter
2. Filter csv paths according... |
#!/usr/bin/env python
import argparse
import sys
import re
import yaml
type_info = {
'bool' : {
'f_type' : 'logical',
'c_type' : 'logical(C_BOOL)'
},
'void*' : {
'f_type' : 'type(C_PTR)',
'c_type' : 'type(C_PTR)'
},
'func' : {
'f_type' : 'type(C_FUNPTR)',
... |
# from .global_variables import *
from PyPATools.field import Field
from PyPATools.pusher import ParticlePusher
import numpy as np
# import multiprocessing as mp
# import time
def track(si, r_start=None, v_start=None, nsteps=10000, dt=1e-12, omit_b=False, omit_e=False):
# TODO: For now break if r_start or v_start... |
# -*- coding: utf-8 -*-
#!/usr/bin/env python
#
# Copyright 2012-2019 BigML
#
# 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... |
# -*- coding=utf-8 -*-
# 1. 裁剪(需改变bbox)
# 2. 平移(需改变bbox)
# 3. 改变亮度
# 4. 加噪声
# 5. 旋转角度(需要改变bbox)
# 6. 镜像(需要改变bbox)
# 7. cutout
import time
import random
import cv2
import os
import math
import numpy as np
from skimage.util import random_noise
from skimage import exposure
d... |
"""
Script to show the stent model in motion.
"""
import os
import visvis as vv
from stentseg.utils.datahandling import select_dir, loadvol, loadmodel
from pirt.utils.deformvis import DeformableTexture3D, DeformableMesh
from stentseg.utils.visualization import show_ctvolume
from stentseg.stentdirect.stentgraph import... |
import numpy as np
import torch
import scipy.fftpack as fftpack
from scipy.interpolate import interp1d
import torch.nn.functional as F
def fftshift1D(tensor:torch.Tensor):
'''
shift the origin to corner
'''
assert tensor.shape[-1]==2
dim_l = tensor.shape[-2]
tensor=torch.roll(tensor,dim_l//2,-2... |
import tensorflow as tf
from keras.applications.resnet50 import ResNet50
from keras.applications.vgg19 import VGG19
from keras.applications.mobilenet import MobileNet
from keras.layers import Flatten, Input
from keras.models import Model
from keras.preprocessing import image
from keras.applications.imagenet_utils impor... |
"""
Copyright 2016 <NAME>
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, software
distrib... |
# 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... |
import os
import time
import pickle
from dataclasses import dataclass
import matplotlib as mpl
# mpl.use('Agg')
import numpy as np
import tqdm
import matplotlib.pyplot as plt
from scipy.signal import medfilt, savgol_filter
from scipy.ndimage import uniform_filter1d, gaussian_filter, median_filter
from astropy import... |
"""
atlas.py provides functions to handle with atlas measurements
"""
from ripe.atlas.cousteau import AtlasResultsRequest, ProbeRequest
from .error import MES_ERR, TIMEOUT_ERR, UNKNOWN_ERR, LATE_ERR, IP_ERR
import logging
from . import timetools as tt
def get_pb(pb_tag="system-v3", is_anchor=False, date=None, asn=Non... |
"""
Derived module from dmdbase.py for multi-resolution dmd.
Reference:
- Kutz, <NAME>, <NAME>, and <NAME>. Multiresolution Dynamic Mode
Decomposition. SIAM Journal on Applied Dynamical Systems 15.2 (2016): 713-735.
"""
from __future__ import division
from builtins import range
from past.utils import old_div
import nu... |
# Copyright 2016 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 applicable law or agreed to in wri... |
#!/usr/bin/env python
#
# COPYRIGHT:
# The Leginon software is Copyright 2003
# The Scripps Research Institute, La Jolla, CA
# For terms of the license agreement
# see http://ami.scripps.edu/software/leginon-license
#
import numpy
import pyami.quietscipy
import scipy.ndimage
from pyami import... |
from dateutil.parser import *
from django.utils.timezone import get_current_timezone
from jsonschema.exceptions import best_match
from bestiary.models import Monster, Building, GameItem
from herders.models import MonsterInstance, RuneInstance, RuneCraftInstance, MonsterPiece, BuildingInstance, ArtifactInstance, Artifa... |
import numpy as np
import random
import tensorflow as tf
import matplotlib.pyplot as plt
import scipy.misc
import os
import csv
import itertools
import tensorflow.contrib.slim as slim
from helper import *
from gridworld import gameEnv
env = gameEnv(partial=False,size=9)
env = gameEnv(partial=True,size=9)
class Qnet... |
"""
pygame-menu
https://github.com/ppizarror/pygame-menu
WIDGET ADDITION EXAMPLE DOCS
See https://pygame-menu.readthedocs.io/en/latest/_source/add_widgets.html
License:
-------------------------------------------------------------------------------
The MIT License (MIT)
Copyright 2017-2021 <NAME>. @ppizarror
Permiss... |
import os
from glob import glob
import imageio
import numpy as np
import pandas as pd
from imageio import imread
from matplotlib import pyplot as plt
import seaborn as sns
from skimage import segmentation, morphology, exposure
from cellpose_applications.utils import segment_imgs, read_to_rgb
CHS_MAPPING = {"nuclei": "... |
image_path = '/home/feng/workspace/self2noise/s9.tif' # 1000x512x512 experimental dataset
training_index = 's9' # the identity for the training, can be a random string
model_directory = f'/home/feng/workspace/self2noise/model_noisy_to_clean_model_{training_index}' # saving the model
threshold = 1 # bottleneck threshold... |
# (╯‵□′)╯︵┻━┻
# 画面分割
import math
import cv2
import numpy as np
import numpy.linalg as npl
tileBackColor = (220, 223, 223)
tileBackColorInf = (215, 218, 218)
tileSup = (225, 228, 228)
horScanY = 640
# verbose print
verbose = False
def vprint(*o):
if (verbose):
print(*o)
def ptint(pt):
return (in... |
import json
import praw
import oauthPS2Bot
import os
import re
import requests
import shlex
import sqlite3
import sys
import time
import traceback
from datetime import datetime,timedelta
import warnings
warnings.filterwarnings("ignore")
##############################################################################
##... |
### All utility function to obtain perturbation mask
import numpy as np
import itertools
import random
import math
from utils import *
import os
import time
import scipy.io as scio
import datetime
import re
import matplotlib.pyplot as plt
import pylab
import os
import csv
from skimage import transform, filters
from... |
#!/usr/bin/env python
"""
Python API using Windows C DLL for Sumix SMX-M8X(C) cameras
Requirements: Windows (32 or 64 bit), Python 32-bit (2.7 or 3.4)
Notes:
if you get WindowsError: [Error 193] %1 is not a valid Win32 application, it
means you're using a 64-bit Python with a 32-bit DLL. Try 32-bit Python!
"""
fro... |
from tabulate import tabulate
def open_text_file(in_file_name):
f = open(in_file_name, "r")
return f.read()
def sanitise_string(input_string):
input_string = input_string.upper()
input_string = ' '.join(input_string.split())
input_string = input_string.strip('\n')
return input_string
#def fin... |
import pickle
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from moviepy.editor import VideoFileClip
import cv2
import os
import numpy as np
import settings
import math
from settings import CALIB_FILE_NAME, PERSPECTIVE_FILE_NAME
def get_center_shift(coeffs, img_size, pixels_per_meter):
return np... |
import pymysql
from STRATEGY.api_strategy import *
from multiprocessing import Pool,Pipe,cpu_count,Manager
from POSITIONMANAGE.api_position import api_position
import json
import time
def call(number):
print(number)
def pysql_connect():
db = pymysql.connect("localhost", "root", "<PASSWORD>", "qtsm")
curs... |
import kaa
from kaa.keyboard import *
from kaa.ui.dialog import dialogmode
from kaa.filetype.default import modebase, keybind
from kaa.ui.msgbox import msgboxmode
from kaa.command import commandid
from kaa.command import norec
from kaa.command import norerun
from kaa.ui.selectlist import filterlist
from gappedbuf.sre_c... |
# --------------------------------------------------------
# BEIT: BERT Pre-Training of Image Transformers (https://arxiv.org/abs/2106.08254)
# Github source: https://github.com/microsoft/unilm/tree/master/beit
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# By <NAME>
# Based... |
# Copyright (c) 2014 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 required by applicable law or agreed to in writ... |
# -*- coding: utf-8 -*-
from crc_ccitt import CRC
import struct
from utils import hexdump
class Device():
def __init__(self, name, signature, pagesize, flashsize, eepromsize, bootsection):
self.name=name
self.signature=signature
self.pagesize=pagesize
self.flashsize=flashsize
... |
# Copyright 2020 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, so... |
"""
Handle background tasks used by view logic
"""
from django.db import transaction
from django.core.exceptions import ObjectDoesNotExist
from seev.apps.core.models import *
from seev.apps.catalog.models import *
from seev.apps.order.models import *
from seev.apps.utils.generators import *
from seev.apps.utils.sess... |
import open3d as o3d
import argparse
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
import json
import numpy as np
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.dirname(BASE_DIR))
import provider
import part_seg_model as m... |
# This file is part of QuSoliton: Quantum Soliton toolbox.
#
# Copyright (c) 2022 and later, <NAME>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source co... |
"""
StyleMapGAN
Copyright (c) 2021-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, U... |
from threading import Thread
import gym
import numpy as np
import torch
import ctypes
from threading import Thread
from typing import Tuple, List
from torch import nn
from torch.nn import functional as F
from torch_spread import NetworkClient, NetworkManager, SpreadModule, Buffer, mp_ctx
from torch_spread.buffer_q... |
import math
import copy
import numpy as np
import torch
import torch.autograd
import torch.nn as nn
import torch.nn.functional as F
from baseline.utils import lookup_sentence, get_version, Offsets
PYT_MAJOR_VERSION = get_version(torch)
def sequence_mask(lengths, max_len=-1):
lens = lengths.cpu()
if max_len ... |
"""
Constructs a data source for the ga4gh server by downloading data from
authoritative remote servers.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import gzip
import os
import requests
import shutil
import subprocess
import tempfil... |
# PyCParser - global include wrappers
# by <NAME>, 2011
# code under BSD 2-Clause License
from cparser import *
from interpreter import CWrapValue, _ctype_ptr_get_value, Helpers
import ctypes
import _ctypes
import os
import sys
import typing
if typing.TYPE_CHECKING:
import interpreter
PY2 = sys.version_info[0] =... |
#!/usr/bin/env python
"""
This script grew-up from test of specific issue -
2021-10-18:
Xiaozhe complains that too many pixels outside signal region in ueddaq02 r401 shows up in selection of intensities between 100 and 500 keV.
See:
- `github: <https://github.com/slac-lcls/lcls2>`_.
- `confluence: <https://confluen... |
# ---
# jupyter:
# jupytext:
# formats: ipynb,py
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.6.0
# kernelspec:
# display_name: deep_ml_curriculum
# language: python
# name: deep_ml_curriculum
# ---
# Note dow... |
import operator, logging, math, psutil
from enum import Enum
from repartition_experiments.file_formats.hdf5 import HDF5_manager
logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.DEBUG)
logger = logging.getLogger(__name__)
class Axes(Enum):
i = 0
j = 1
k = 2
class Volume:
def __... |
#!/usr/bin/env python
# Copyright 2017 Johns Hopkins University (<NAME>)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from __future__ import division
import argparse
import logging
import math
import sys
from argparse import Namespace
import editdistance
import chainer
import numpy as np
import ran... |
import codecs
import json
import numpy as np
import os
import pickle
import random
import tensorflow as tf
from detext.model.bert import modeling
from detext.utils import test_utils
from detext.utils import vocab_utils
def force_set_hparam(hparams, name, value):
"""
Removes name from hparams and sets hparams... |
import filecmp
import json
import os
import random
import shutil
import string
from contextlib import contextmanager
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from pathlib import Path, PurePath
from typing import BinaryIO, Iterator, Optional, Tuple
from .logging import log
f... |
#!/usr/bin/env python
# coding: utf-8
# # Developing an AI application
#
# Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of tho... |
# 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 applicab... |
#
# Copyright 2010-2015
#
import math
from PySide import QtGui, QtCore
from kraken.ui.backdrop_inspector import BackdropInspector
class KBackdropTitle(QtGui.QGraphicsWidget):
__color = QtGui.QColor(255, 255, 255)
__font = QtGui.QFont('Helvetica', 11)
__font.setLetterSpacing(QtGui.QFont.PercentageSpac... |
# -*- coding: utf-8 -*-
#
"""
Solve the linearized Ginzburg--Landau problem.
"""
from scipy.sparse.linalg import LinearOperator
import time
import numpy as np
import cmath
import matplotlib.pyplot as pp
# from matplotlib import rc
# rc( 'text', usetex = True )
# rc( 'font', family = 'serif' )
import meshplex
import p... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@author: mosquito
@email: <EMAIL>
@project: Checker
@github: http://github.com/1dot75cm/repo-checker
@description: Checker is used to check update for software.
@version: 0.4
@history:
0.4 - Add user-agent, gzip, http-proxy, aio support(2016.01.28)
0.3 - Use cl... |
"""
Tests for the algorithms.spectral submodule
"""
import numpy as np
import scipy
from scipy import fftpack
import numpy.testing as npt
import numpy.testing.decorators as dec
import nose.tools as nt
import nitime.algorithms as tsa
import nitime.utils as utils
def test_get_spectra():
"""
Testing spectral... |
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