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# ------------------------------------------------------------------------------
# Testing code.
# Example command:
# python tools/test_net_single_core.py --cfg PATH_TO_CONFIG_FILE
# Written by <NAME> (<EMAIL>)
# ------------------------------------------------------------------------------
import argparse
import cv2
... |
#
# Copyright 2019 <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, soft... |
"""Utilities for running HammerBlade in F1.
"""
import boto3
import enum
import shlex
import click
import subprocess
import socket
import time
import os
import logging
import click_log
from collections import namedtuple
import tomlkit
__version__ = '1.0.0'
SSH_PORT = 22
# The setup script to run on new images.
SETU... |
import sys
import os
import timeit
import datetime
import shutil
import datetime
import shutil
from tqdm.notebook import tqdm_notebook
from pathlib import Path
import pandas as pd
import numpy as np
import csv
from sqlalchemy import create_engine
import sqlite3
import requests
# from selenium import webdriver
# from... |
# -*- coding: utf-8 -*-
"""A fix for GraphML write_graphml module
Run this code only when you need to generate a metro Meta-KG graph
.. moduleauthor:: <NAME> <<EMAIL>>
"""
import warnings
from collections import defaultdict
try:
from xml.etree.cElementTree import Element, ElementTree
from xml.etree.cEleme... |
import pygame, sys, pygame.mixer
from pygame.locals import *
import socket
from time import sleep, time
import bluetooth as bt
print('-----------------------------------------------------------------')
print('Controls:\nClick and drag joystick to drive the T-Bot\nUse up, down, left, right arrow keys to drive the T-Bot\... |
# -*- coding: utf-8 -*-
import io
import requests
from lxml import etree, objectify
from xml.etree import ElementTree as ET
from uuid import uuid4
import pprint
import logging
from odoo.addons.payment.models.payment_acquirer import _partner_split_name
from odoo.exceptions import ValidationError, UserError
from odoo im... |
# -*- encoding: utf-8 -*-
# Author: hushukai
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras import layers, models, optimizers, regularizers
from networks.resnet import ResNet58V2_for_char_recog as ResNet_for_char_recog
from networks.resnext import ResNeXt58_for_char_recog as R... |
# Copyright (c) 2017, The MITRE Corporation
# For license information, see the LICENSE.txt file
"""
TAXII Clients
"""
import sys
import base64
import socket
import ssl
import warnings
from libtaxii.constants import *
import six
from six.moves import urllib
class HttpClient(object):
# Constants for authenticatio... |
#!/usr/bin/env python3
import argparse
import base64
import configparser
import errno
from io import BytesIO
import json
import logging
from math import sin, cos
from os import getenv, remove
from pathlib import Path
import platform
import sys
from typing import Optional, Tuple
from PIL import Image
import xml.etree.E... |
from matplotlib import pyplot as plt
import numpy as np
import os
from random import random
from singlecell.analysis_basin_plotting import plot_overlap_grid
from singlecell.singlecell_constants import BETA, FIELD_SIGNAL_STRENGTH, MEMS_MEHTA, MEMS_SCMCA, FIELD_APPLIED_PROTOCOL, MEMORIESDIR
from utils.file_io import RUN... |
from ...fileio.adm.elements import AudioPackFormat, AudioChannelFormat, TypeDefinition, ObjectCartesianPosition
from ...fileio.adm.exceptions import AdmError
from . import matrix
from .utils import (get_single_param, in_by_id, pack_format_channels,
pack_format_packs, pack_format_paths_from)
def _v... |
#!/bin/env python3
# coding=utf-8
from functools import reduce
import sys
is_py3k = bool(sys.version_info[0] == 3)
class IdGenerator:
"""id 生成器"""
def __init__(self):
self.id = -1
def next(self):
self.id += 1
return self.id
class Queue(list):
"""普通队列"""
def pop(self,... |
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
import plotly.graph_objects as go
import plotly.express as px
import pandas as pd
from helpers import (
austin_listings,
zc_link,
... |
import glob
import os
import shutil
import random
import numpy as np
from PIL import Image
# from imagecorruptions import corrupt
from torch.utils.data import Dataset
from torchvision import transforms
from tqdm import tqdm
from config import Config
class coco_c(Dataset):
def __init__(self, root_dir, size=(416,... |
########
# Copyright (c) 2016 GigaSpaces Technologies Ltd. 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 requir... |
# =============================================================================
# Authors: PAR Government
# Organization: DARPA
#
# Copyright (c) 2016 PAR Government
# All rights reserved.
#==============================================================================
import time
import ttk
from Tkinter import *
impor... |
import json
from typing import (
Any,
Callable,
Collection,
Iterator,
List,
MutableMapping,
MutableSequence,
MutableSet,
Optional,
Sequence,
Set,
Union
)
from semantic_version import Version
from slicedimage import Collection as collec
from slicedimage import TileSet
fro... |
import pickle, glob, sys, csv, warnings
from sklearn.preprocessing import PolynomialFeatures, StandardScaler
from sklearn.metrics import accuracy_score, confusion_matrix, auc, roc_curve
from feature_extraction_utils import _load_file, _save_file, _get_node_info
from scipy.stats import multivariate_normal
from scipy.n... |
# TODO
# test with the --output option
# test reading from standard input
from __future__ import print_function, division, absolute_import
import sys, os
from nose.tools import raises
from contextlib import contextmanager
from cutadapt.scripts import cutadapt
@contextmanager
def redirect_stderr():
"Send stderr to st... |
'''
ClientSide.py
Convenience python functions that return JavaScript code -
including complete python bindings for WebElements.js
NOTE: documentation for the binding functions is defined in WebElement.js and not as doc strings on the binding
methods themselves.
Copyright (C) 2013 <NAME>
... |
import os
import sys
import io
import logging
import re
import platform
import traceback
import multiprocessing
from setuptools import setup, Extension as _Extension, find_packages
from distutils.command.build_ext import build_ext
from distutils.errors import CCompilerError, DistutilsExecError, DistutilsPlatformError
... |
# -*- coding: utf-8 -*-
import numpy as np
import osmnx as ox
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import networkx as nx
import ast
from logproj import stat_time_series as ts
from logproj.ml_dataCleaning import cleanUsingIQR
from logproj.P8_p... |
import numpy as np
import ipywidgets as widgets
from IPython.display import display
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
import lsst.afw.table
from lsst.afw.image import MultibandExposure
from scarle... |
#dataset generation
import random
import math
import zipfile
import os
import time
from TDO.dataset_generation import utils_generation
import sys
##Please contact the authors to obtain "value similarity" zip file
############################################## SOURCE FUNCTIONS ##############################... |
#gui/configProfiles.py
#A part of NonVisual Desktop Access (NVDA)
#Copyright (C) 2013 NV Access Limited
#This file is covered by the GNU General Public License.
#See the file COPYING for more details.
import wx
import config
import api
import gui
from logHandler import log
import appModuleHandler
import gl... |
import serial.serialutil
import pygame, math, sys, uart, serial, threading, time, numpy
from scipy.optimize import curve_fit
from statistics import pstdev
# Constants
BLUE = (25, 25, 200)
PURPLE = (150, 25, 200)
BLACK = (23, 23, 23)
GREY = (56, 56, 56)
WHITE = (254, 254, 254)
RED = (200, 25, 25)
GREEN = (25, 200, 25)
... |
import warnings
import re
import io
import ast
import contextlib
import itertools
import tempfile
from typing import List
from collections import namedtuple
from typing import NamedTuple, Union
import ir_measures
class Qrel(NamedTuple):
query_id: str
doc_id: str
relevance: int
iteration: str = '0'
cla... |
# Copyright 2019 Uber Technologies, 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 applica... |
import torch
from torch.distributions import constraints
from pyro.distributions.torch_distribution import TorchDistribution
from pyro.distributions.util import broadcast_shape
from pyro.ops.gaussian import Gaussian, gaussian_tensordot, matrix_and_mvn_to_gaussian, mvn_to_gaussian
def _logmatmulexp(x, y):
"""
... |
#This file contains various helper routines
import numpy as np
from scipy.interpolate import interp1d
from . import const
import glob, os, time
import os.path
from numpy import array, asarray, roll
from numpy.linalg import matrix_rank
from scipy.fftpack import fft, ifft, fftn, ifftn
from numpy.fft import rfftn, irfftn... |
""" This module implements specific pulse retrieval algorithms, e.g.,
COPRA, GPA, PCGPA, etc.
"""
import numpy as np
from scipy.optimize import minimize_scalar
from .retriever import BaseRetriever
from .. import lib
class StepRetriever(BaseRetriever):
def _retrieve(self):
# local rename
... |
import collections
import glob
import cv2
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
from calibration_functions import calibrateCamera_SLOW, undistort
from globals import xm_per_pix, ym_per_pix
from perspective_function import birdview
from threshold_functions import binarize_... |
# from datasets.mongo import triage,get_by_id
import numpy as np
import struct
import glob
import re
import os,shutil
import scipy.io as io
import pandas as pd
from settings import data_dir,segment_length,segment_slide
from datasets.signals import resample
from settings import Fs
import joblib
import _pickle as pickle
... |
from anthill.framework.utils.decorators import method_decorator, retry
from anthill.framework.utils.asynchronous import as_future, thread_pool_exec as future_exec
from anthill.framework.utils.module_loading import import_string
from anthill.framework.utils import timezone
from anthill.framework.utils.geoip import GeoIP... |
''' Handling the data io '''
import argparse
import models.Constants as Constants
import json
import numpy as np
from tqdm import tqdm
import string
import wget
import os
import nltk
from collections import defaultdict
import pickle
import spacy
url = "https://github.com/ybCliff/VideoCaptioning/releases/download/v1.0/v... |
import os
from PIL import Image
import pytesseract
import cv2
import numpy as np
import re
import time
X = 1280.00 / 3840.00
PIXEL_X = int(X * 3840)
print(X, PIXEL_X)
MASKS_DIR = os.path.join(os.path.dirname(__file__), "masks")
CARD_MASK = os.path.join(MASKS_DIR, "idcard_mask.jpg")
NAME_MASK = os.path.join(MASKS_DIR... |
"""
Author: <NAME>
Created: 10/02/2021 9:30 AM
"""
import os
import ksl_env
import numpy as np
import datetime
import subprocess
import sys
import netCDF4 as nc
import glob
import yaml
import pandas as pd
import shutil
from Climate_Shocks.Stochastic_Weather_Generator.read_swg_data import read_swg_data
from Climate_S... |
#!/usr/bin/env python3
import sqlite3
import json
import flask
import re
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import re
import time
from plotly.validators.scatter.marker import SymbolValidator
import math
import dash_table
from ... |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from torch.nn.init import xavier_uniform_
def init_weights(m):
if type(m) == nn.Linear or type(m) == nn.Conv2d:
xavier_uniform_(m.weight)
m.bias.data.fill_(0.)
def snco... |
import cv2
import glob
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import os
from moviepy.editor import VideoFileClip
def camera_calibration():
images = glob.glob('./camera_cal/calibration*.jpg')
# Arrays to store object points and image points for all the images
ob... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Categorical
import numpy as np
import time, os
class PPO(nn.Module):
def __init__(self, arg_dict, device=None):
super(PPO, self).__init__()
self.device=None
if devi... |
# +--------------------------------------------------------------------------+
# | Licensed Materials - Property of IBM & OpenInformix |
# | |
# | (C) Copyright IBM Corporation 2008, 2019. |
# +-... |
"""Nested vocab tries."""
import itertools
import os
from pathlib import Path
from typing import Any, Callable, Dict, List, Set, Tuple, Union
import marisa_trie
import numpy as np
import ujson
from numba import njit
from tqdm import tqdm
from bootleg.utils.utils import dump_json_file, load_json_file
def flatten(arr... |
import re
from parsing.models.fine_tuning_based_on_bert_interface import token_classifier_interface
from parsing import parsing_args
from common_structs.ungrounded_graph import UngroundedNode
from parsing import parsing_utils
from common import globals_args
def generate_nodes(question_normal, qid=None, tokens=N... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
import shutil
import queue
import threading
import subprocess
import datetime
import time
import codecs
#print(os.path.dirname(__file__))
#print(os.path.basename(__file__))
#print(sys.version_info)
qApiCV = 'google'
qApiOCR = qApiCV
qApiTr... |
import matlab.engine
from matlab.engine import EngineError as MatlabEngineError
import json
import sys
import os
import asyncio
import select
log_python_adaptor = False
def return_vscode(message_type=None,
success=None,
command=None,
message=None,
... |
import argparse
import stanza
import json
import numpy as np
from os.path import exists
import requests
import json
import re
from tqdm import tqdm
# clean half nodes from a binary parse
def clean_binary_parse(bp):
bp = bp.replace('\n', '')
bp = re.sub(' +', ' ', bp)
bp = re.sub('\((.*?) ', '(0 ', bp)
... |
# Import from third library
import torch
import torch.nn.functional as F
from up.tasks.det.models.utils.matcher import build_matcher
from up.utils.general.registry_factory import MATCHER_REGISTRY, ROI_SUPERVISOR_REGISTRY
from up.tasks.det.models.utils.bbox_helper import bbox_iou_overlaps
from up.utils.general.log_helpe... |
from collections import namedtuple
import numpy as np
from matplotlib import pyplot as plt
plt.switch_backend('agg')
import matplotlib.cm as cm
import time
from read_starcd import write_tecplot
def f_maxwell(vx, vy, vz, T, n, ux, uy, uz, Rg):
"""Compute maxwell distribution function on cartesian velocity mesh
... |
import asyncio
import logging
import aiohttp
import dateutil.parser
import struct
from datetime import datetime, timezone
from urllib.parse import urlparse, urlunparse, ParseResult, parse_qs
from typing import Dict, Any, Optional, Tuple, cast, Union, List, TypeVar, Callable
import discord
from discord import Embed, Col... |
##
# Copyright 2019 Telefonica Investigacion y Desarrollo, S.A.U.
# This file is part of OSM
# 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.or... |
# coding: utf-8
# In[1]:
import matplotlib
matplotlib.use("Agg")
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
torch.manual_seed(1)
import numpy as np
from tqdm import tqdm
import pandas as pd
import matplotlib.pyplot as plt
im... |
import math
import torch
import torch.nn.functional as F
from torch import nn
from collections import OrderedDict
import sys
from torch.nn import init
import numpy as np
from IPython import embed
sys.path.append('./')
sys.path.append('../')
from .recognizer.tps_spatial_transformer import TPSSpatialTransformer
from .re... |
"""
SimpleMonitor logging to files
"""
import glob
import json
import logging
import logging.handlers
import os
import shutil
import socket
import stat
import subprocess # nosec
import sys
import tempfile
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
import arrow
from jinja2 import Environment, F... |
#!usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import math
import time
import sys
sys.path.append('../..')
from envs.airCombateEnv.customization import init_posture
from envs.airCombateEnv.customization import REGISTRY_STATE as registry_state
from argument.argManage import args
from envs.unit import... |
import os
import argparse
import torch
from torch import nn
import torch.backends.cudnn as cudnn
from torch.utils.data.distributed import DistributedSampler
from torch.utils.data import DataLoader
import numpy as np
from dataset import potsdam, label_to_RGB
from seg_metric import SegmentationMetric
import cv2
from mut... |
"""Common plot functions."""
import logging
import os
from copy import deepcopy
import cartopy.crs as ccrs
import iris.quickplot
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import numpy as np
import yaml
logger = logging.getLogger(__name__)
def _process_axes_functions(axes, axes_functions):
... |
# 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 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# bu... |
import json
from builtins import object
from builtins import str
from contextlib import contextmanager
from importlib import import_module
from bs4 import BeautifulSoup
from django.conf import settings
from django.contrib.auth.models import Group, Permission
from django.core import mail
from django.core.serializers.js... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# 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... |
#-----------------------------
# builelie 共通関数
#-----------------------------
import sys
import json
import jsonschema
import numpy as np
import os
# import pandas as pd
import itertools
import math
# 電気の量 1kWh を熱量 kJ に換算する係数
fprime = 9760
# データベースファイルの保存場所
database_directory = os.path.dirname(os.path.abspath(__file... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
PyCOMPSs Testbench Tasks
========================
"""
# Imports
import unittest
import numpy as np
from .my_class import MyClass
from .psco import PSCO
from .psco_with_tasks import PSCOWithTasks
from pycompss.api.task import task
from pycompss.api.parameter import *
f... |
import os
import json
import math
def load_timber_properties(folder_path):
collected_properties = []
properties = ['timber_properties.json','k_mod.json','safety_factor.json','straightness_factor.json']
for properti in properties:
file_path = os.path.join(folder_path, properti)
with open... |
import itertools
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .base_model import BaseModel
from . import networks
from .networks import VGGNet
class DoubleHead(nn.Module):
def __init__(self, num_classes):
super(DoubleHead, self).__init__()
self.PredBack... |
import datetime, copy, xmlrpclib, thread, time, cgi
from django.db import models
from django.core.cache import cache
from django.contrib.sitemaps import ping_google
from django.contrib.sites.models import Site
from django.dispatch import dispatcher
from django.db.models import signals
from django.core.mail import mail_... |
''' Diabetes and comorbidities flags '''
from itertools import chain
import logging
import sys
from pyspark.sql import functions as f
from pyspark.sql.session import SparkSession
from pyspark.sql.window import Window
from pyspark.sql.types import ArrayType, StringType
from pyspark.sql import Column
from typing import ... |
# -*- coding: utf-8 -*-
#!/usr/bin/env python3
"""
Created on Fri Jun 29 20:57:25 2018
@author: yansl
Usage:
make image mask.
"""
import cv2
import sys
import numpy as np
from skimage import morphology
#%%
"""
secondary functions
"""
def channel_decomposion(image):
temp_img = image.copy... |
"""
Library Features:
Name: lib_snowblending_blending_tools
Author(s): <NAME> (<EMAIL>), <NAME> (<EMAIL>)
Date: '20210525'
Version: '1.0.0'
"""
# -------------------------------------------------------------------------------------
# Library
import logging
import numpy as np
import raste... |
# A general training procedure
import time
import torch.optim as optim
from torch.nn import init
import torch
from torch import FloatTensor, tensor
from genre.loggers.loggers import _LogCumulator
from genre.util.util_print import str_warning
from genre.visualize.visualizer import Visualizer
import pickle
import os
de... |
# from x2paddle import torch2paddle
from copy import deepcopy
import argparse
import math
import os
import pickle
import json
import logging
import time
import paddle
import numpy as np
import random
from collections import Counter
from paddle.nn import functional as F
from model.meta import Meta
from utils.metrics imp... |
# -*- coding: utf-8 -*-
"""
Import and extensions of the core Mesh class.
"""
import numpy as np
from math import ceil
from .core import (cat, HexahedronShape, Line, RSparseMapMatrix,
Mesh, MeshEntity, Node, Boundary, RVector, RVector3,
PolygonFace, TetrahedronShape, Tr... |
import os
import sys
import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from collections import OrderedDict
from gru import BayesianGRU, GRU
from dropout import EmbeddingDropout, SequentialDropout
urls = {}
urls['dictionary'] = 'http://www.cs.toronto.... |
#
# Modified (butchered) argparse to provide tree-like
# extendable configuration options for bento-linker
#
# Copyright (c) 2020, Arm Limited. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
#
import re
import argparse
import sys
import os
import io
from argparse import Namespace
import itertools as it
... |
#imports
import pandas as pd
import os
import ast
import sklearn as skl
import sklearn.utils, sklearn.preprocessing, sklearn.decomposition, sklearn.svm
import matplotlib.pyplot as plt
import numpy as np
import pylab
import librosa
import ffmpeg
import audioread
import sklearn
import librosa.display
import datetime
... |
import sys
assert sys.version_info[0] == 3
assert sys.version_info[1] >= 5
from platform import python_version
assert int(python_version().split(".")[1]) >= 5, "Please upgrade your Python version following the instructions in \
the README.txt file found in the same directory as this notebook. Your Python version... |
from design_bench.datasets.dataset_builder import DatasetBuilder
import numpy as np
def one_hot(a, num_classes):
"""A helper function that converts integers into a floating
point one-hot representation using pure numpy:
https://stackoverflow.com/questions/36960320/
convert-a-2d-matrix-to-a-3d-one-hot-... |
"""
Factor class and necessary functions
"""
# from __future__ import annotations
import numpy as np
from sortedcontainers import SortedSet
from collections import namedtuple
from typing import List, Tuple, Union, overload, Optional, Callable, Iterable
from .helper import reduce_tuples
import functools
Variable = na... |
"""
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) 2095-2010 <NAME>
Copyright (C) 2009-2010 by <NAM... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Loop through selected (hardcoded!) RunAnalysis.R output tables and plot
chosen parts of the data on Bokeh maps.
Created on Wed Apr 15 15:26:30 2020
@author: <NAME> (<EMAIL>)
"""
# Silence FutureWarnings of Pandas
import warnings
warnings.simplefilter(action='ignore'... |
"""
MONITARP - c0mplh4cks
a Network Device Detection Tool using ARP
"""
# === Importing Dependencies === #
from socket import socket, AF_PACKET, SOCK_RAW, htons
from time import time, sleep, strftime, gmtime
from threading import Thread
from ipaddress import IPv4Network as ip_range
from copy import deepcopy... |
from __future__ import absolute_import
from __future__ import unicode_literals
from corehq.apps.tzmigration.timezonemigration import is_datetime_string, FormJsonDiff, json_diff
PARTIAL_DIFFS = {
'XFormInstance*': [
{'path': ('_rev',)}, # couch only
{'path': ('migrating_blobs_from_couch',)}, # cou... |
# Copyright (c) Microsoft Corporation
#
# All rights reserved.
#
# MIT License
#
# 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... |
import torch
from torch import nn
from torch.nn import functional as F
import collections
from gym.spaces import MultiDiscrete
from nle import nethack
from typing import NamedTuple, Union
from collections import namedtuple
from .minihack_util import id_pairs_table
import logging
from .common import *
from .distribut... |
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization,hashes
from cryptography.hazmat.primitives.asymmetric import padding,utils,ec
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
i... |
"""
Tiny Web - pretty simple and powerful web server for tiny platforms like ESP8266 / ESP32
MIT license
(C) <NAME> 2017-2018
"""
import logging
import uasyncio as asyncio
import uasyncio.core
import ujson as json
import gc
import uos as os
import sys
import uerrno as errno
import usocket as socket
log = logging.getL... |
# Adapted from https://github.com/aam-at/cpgd
import math
from functools import partial
from typing import Optional
import torch
from torch import Tensor, nn, optim
from torch.autograd import grad
from torch.nn import functional as F
from adv_lib.distances.lp_norms import l0_distances, l1_distances, l2_distances, lin... |
from enum import Enum
import numpy as np
# https://sites.uni.edu/morgans/astro/course/Notes/section2/spectraltemps.html
class SpectralType(Enum):
# Dwarfs
O5V = {'name': 'O5V', 'Teff': 54000, 'M': -4.5, 'L': 200000}
O6V = {'name': 'O6V', 'Teff': 45000, 'M': -4.0, 'L': 140000}
O7V = {'name': '... |
"""
The MIT License (MIT)
Copyright (c) 2018 Zuse Institute Berlin, www.zib.de
Permissions are granted as stated in the license file you have obtained
with this software. If you find the library useful for your purpose,
please refer to README.md for how to cite IPET.
@author: <NAME>
"""
import xml.etree.ElementTree ... |
# --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME> and <NAME>
# --------------------------------------------------------
import os
import yaml
import numpy as np
import numpy.random as n... |
import math
import copy
import time
from tqdm import tqdm
import numpy as np
from regym.util import save_traj_with_graph
def run_episode(env, agent, training, max_episode_length=math.inf):
'''
Runs a single episode of a single-agent rl loop until termination.
:param env: OpenAI gym environment
:param ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import weight_norm
from functools import partial
from model.model_utils import concat_elu
import numpy as np
from model.model_utils import *
from scipy import linalg as la
logabs = lambda x: torch.log(torch.abs(x))
# dictionary fo... |
import numpy
import threading
def merge_times(time1,time2):
"""
merge two time vectors and remove duplicates
"""
times = numpy.append(time1,time2)
resortIndices = numpy.argsort(times)
times = times[resortIndices]
diff = numpy.diff(times)
diff = numpy.append([1],diff)# the diff has... |
# Copyright 2020 Huawei Technologies Co., Ltd
# 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... |
import math
import torch
from enum import Enum
from torch import Tensor
from typing import List, Tuple, Optional, Dict
from . import functional as F, InterpolationMode
__all__ = ["AutoAugmentPolicy", "AutoAugment", "RandAugment", "TrivialAugmentWide"]
def _apply_op(img: Tensor, op_name: str, magnitude: float,
... |
import sys
import tensorflow as tf
import numpy as np
import time
import math
import os
import getopt
from glob import glob
from natsort import natsorted
import pyBigWig as pbw
import subprocess as subp
PATH_SEP=os.path.sep
def longest_common_prefix(seq1, seq2):
start = 0
while start < min(len(seq1), len(s... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module provides functionality for tabulating sequence files (FASTA) into
an Ananke HDF5 file.
"""
import sys
import warnings
import hashlib
import pandas as pd
import numpy as np
from collections import defaultdict
from scipy.sparse import csr_matrix
from ._datab... |
##############################################################################
#
# Copyright (c) 2003 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... |
"""
Implements HIRES-specific functions, including reading in slitmask design files.
.. include common links, assuming primary doc root is up one directory
.. include:: ../links.rst
"""
import glob
import re
import os
import numpy as np
from scipy import interpolate
from astropy.io import fits
from pypeit import ms... |
# Runlike this exec(open("estimate_phase_delay.py").read())
# that way it will use your pysmurf S object.
import pysmurf
import numpy as np
import time
import os
# how to get AMC s/n and fw
def get_amcc_dump_bsi(S,ip='shm-smrf-sp01',slot=None):
if slot is None:
# attempt to guess from epics prefix
... |
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