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# -*- coding: utf-8 -*-
"""
Created on Tue Jun 16 18:26:18 2020
@author: Wilson
"""
import json, requests, time, random
from pytube import YouTube
from datetime import datetime
from sys import exit
import re, io
count = 0
countDL = 0
countSkip = 0
starttime = datetime.now()
#random timer wait
def wait(start, end):
... |
from mcot.core.surface.test_data import rectangle
from mcot.core.surface.grid import closest_surface, intersect, intersect_resolution
import numpy as np
def generate_closest(mesh, arrc, slices, notslices=None):
print(arrc)
if notslices is None:
notslices = (slice(0, 0), slice(0, 0))
eslices = list... |
import csv
import cv2
import numpy as np
import sklearn
import seaborn as sns
import matplotlib.pyplot as plt
from skimage import transform
from sklearn.model_selection import train_test_split
from random import shuffle
DATA_PATH = './data/data1/'
# sample are line from driving_log.csv.
# the format are [center_img... |
from .. import util
import os
from shapely.geometry import Point
import pyproj
import csv
import fiona
import geojson
TEST_FP = os.path.dirname(os.path.abspath(__file__))
def test_read_geojson():
res = util.read_geojson(TEST_FP + '/data/processed/maps/inters.geojson')
assert len(res) == 6
assert type(re... |
#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# 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... |
import json
import requests
import click
from haiku_node.babel.babel_db import (BabelDatabase,
default_db as default_babel_db)
from haiku_node.blockchain.eos.mother import UnificationMother
from haiku_node.blockchain.eos.uapp import UnificationUapp
from haiku_node.client import ... |
import mxnet as mx
import argparse
import logging
import os
# load data
def get_mnist_iter(args):
train_image = os.path.join(args.data_url + 'train-images-idx3-ubyte')
train_label = os.path.join(args.data_url + 'train-labels-idx1-ubyte')
try:
import moxing.mxnet as mox
except:
assert os.... |
import subprocess
import string
import random
import sys
import os
import yaml
import logging
logger = logging.getLogger("ipns")
IPCOMMAND = '/bin/ip'
KILLCOMMAND = '/bin/kill'
SYSCTLCOMMAND = '/sbin/sysctl'
class IPException(Exception):
pass
def random_string(prefix="", length=16):
return prefix + ''.j... |
import os
import json
import subprocess
from datetime import datetime, timezone
import numpy as np
import iris
import boto3
from pyspark.sql import SparkSession
from pyspark.sql.types import *
from pyspark.sql.functions import *
spark = SparkSession.builder.appName('AWS-Take-Home').getOrCreate()
def get_bucket_links... |
#!-*-encoding:utf-8-*-
import datetime
import os
from os.path import dirname
from scrapy.spiders import Spider
import scrapy
from scrapy.exceptions import CloseSpider
from webspider.itemLoaders import SeeBugLoader
from webspider.items import SeeBugItem
from webspider.settings import TOP_DIR
#from webspider.util impo... |
import numpy as np
from pyquante2.grid.lebedev import lebedev
class atomic_grid(object):
def __init__(self,atom,**kwargs):
atno,x,y,z = atom.atuple()
if kwargs.get('radial','EulerMaclaurin') == 'Legendre':
grid_params = LegendreGrid(atno,**kwargs)
else:
grid_params ... |
import json
import os
import numpy
import subprocess
from numpy import exp, polyval, log, pi, unwrap, angle
from matplotlib import pyplot
from scipy import signal
error_cnt = 0
prog_rc = 0
def send(f, v, n):
e = json_dict[n]
base = e["base_addr"]
for j, x in enumerate(v):
f.write("%d %x\n" % (base... |
# -*- coding: utf-8 -*-
# pylint: disable=line-too-long,import-error
"""Namespace: ``Broker``."""
from zlogging._compat import enum
@enum.unique
class DataType(enum.IntFlag):
"""Enum: ``Broker::DataType``.
Enumerates the possible types that ``Broker::Data`` may be in terms of Zeek data types.
See Also:... |
# Generates tokens which are defined in hazel/grammar/Tokens
# The files are (relative to the root) are:
# 1. hazel/compiler/tokens/token.h
# 2. hazel/compiler/tokens/token.c
NT_OFFSET = 256
def load_tokens(path):
token_names = []
string_to_token = {}
ERRORTOKEN = None
with open(path) as fp:
... |
#####################################
# LICENSE #
#####################################
#
# Copyright (C) 2020 <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 Softw... |
from datetime import date, timedelta
import calendar
import os
import math
from copy import copy, deepcopy
from reportlab.lib.units import inch
from reportlab.lib import colors
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.pdfbase.pdfmetrics import stringWidth
m... |
from RainbowChain import Dictogram
from collections import deque
class RainbowChain:
""" Basically a Markov Chain that generates sentences. """
# Max amount of attempts we have to generate a new sentence
MAX_ITERATION_ATTEMPTS = 100
def __init__(self, corpus, max_order):
""" Constructing the... |
#! /usr/bin/env python
# Class for storing user-specific data
import reservoirGrid
import wx
import wx.grid as gridlib
class ScoreDataTable(reservoirGrid.TrayDataTable):
def __init__(self, data):
reservoirGrid.TrayDataTable.__init__(self, data)
self.colLabels = ["ScoreNr","Descript... |
from scipy.spatial import ConvexHull, convex_hull_plot_2d
import numpy as np
from spinup.my_env.rtd.utils.vert2lcon import vert2lcon
def buffer_box_obstacles(B,b,N):
B=np.concatenate((B,np.full([2,1],np.nan)),axis=1)
# get x and y coords
Bx=B[0,:]
By=B[1,:]
Bx=Bx.reshape(1,-1)
By=By.reshape(1,... |
import dace
import numpy as np
import sys
from dace.transformation.subgraph import ReduceExpansion, SubgraphFusion, MultiExpansion
import dace.transformation.subgraph.helpers as helpers
import dace.dtypes as dtypes
from dace.sdfg.graph import SubgraphView
import dace.libraries.standard as stdlib
import dace... |
import time
import datetime
import aiohttp
import asyncio
from xml.etree.ElementTree import fromstring
import requests
import m3u8
import os
from typing import List, Optional, TypeVar
URI = str
Tag = str
Path = str
EpisodeID = str
EpisodeInstance = TypeVar('Episode')
Semaphore = Optional[asyncio.Semaphore]
class Str... |
# -*- coding: UTF-8 -*-
# This file is a part of pycerberus.
# The source code contained in this file is licensed under the MIT license.
# See LICENSE.txt in the main project directory, for more information.
# SPDX-License-Identifier: MIT
from __future__ import absolute_import, print_function, unicode_literals
import... |
import discord
from discord.ext import commands
from datetime import datetime
import asyncio
self_id=742371009352433714
class Help(commands.Cog):
def __init__(self, bot):
self.bot = bot
#言語ページめくり関数
async def commands_pages(self, ctx, msg, com):
langs_list = self.bot.get_cog('Contents')... |
# -*- coding: utf-8 -*-
from datetime import datetime
import re
from django.dispatch.dispatcher import Signal
from vkontakte_api.parser import VkontakteParser, VkontakteParseError
post_parsed = Signal(providing_args=['instance', 'raw_html'])
comment_parsed = Signal(providing_args=['instance', 'raw_html'])
def get_ob... |
# Import Modules
import re
import json
import requests as r
from geopy.distance import great_circle
import ghcnpy as gp
#################################################
# MODULE: find_station
# Find stations by certain Search Criteria
# 1 Arg: Search by Name
# 3 Arg: Search by Lat Lon Distance limit
########... |
import PyPDF2
import xlrd, tabula
import pandas as pd
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render,get_object_or_404,redirect
from django.contrib.auth.models import User
from django.contrib.auth import logout as do_logout, authenticate, login as do_login
import os, logg... |
import sedate
from datetime import datetime
from libres.db.models import ReservedSlot
from onegov.core.orm.mixins import meta_property, content_property
from onegov.core.orm.types import UUID
from onegov.form.models import FormSubmission
from onegov.org.models.extensions import ContactExtension, \
ResourceValida... |
import copy
from seraphim.mod_arithmetics.modulare_arithmetic_efficient import RestclassEfficient
class Polynomial(object):
"""Klasse zur Darstellung von Polynomen in Form einer Koeffizientenliste aufsteigend von Grad 0 bis n"""
def __init__(self, coefficients):
self.coefficients = coefficients
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
import numpy as np
from detectron.core.config import cfg
from detectron.utils.c2 import const_fill
from detectron.utils.c2 import gauss_fill
from detectron.u... |
#!/usr/bin/env python3
#------------------------------------------------------------------------------
# Description of the header clean process
#------------------------------------------------------------------------------
# Here is the list of actions performed by this script to clean the original
# kernel headers.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""POS and NER Taggers.
Part of speech taggers (POS) classifies words into 17 syntactic category.
Named entity Recognition extractors (NER) Detect three types of entities: {Person, Location, Organization.}
"""
import numpy as np
from six.moves import range
from ..decor... |
"""
to_polar_coordinates
====================
"""
from ansys.dpf.core.dpf_operator import Operator
from ansys.dpf.core.inputs import Input, _Inputs
from ansys.dpf.core.outputs import Output, _Outputs, _modify_output_spec_with_one_type
from ansys.dpf.core.operators.specification import PinSpecification, Specification
"... |
#!/usr/local/greenplum-db-6.10.0/ext/python/bin/python
# coding=utf-8
try:
from debug.debug_tools import plpy
except ImportError:
import plpy
import os
import uuid
import json
from .conf import MODEL_SAVE_PATH
import re
import graphlearn as gl
import pandas as pd
int_pattern = re.compile("^-?[1-9]\d*$")
float_... |
from decimal import Decimal
from falcon.base.event import BaseEvent
from falcon.base.order import OrderType
from falcon.base.symbol import get_mt4_symbol
class EventType(object):
DEBUG = 'DEBUG'
STARTUP = 'STARTUP' # system start up
SHUTDOWN = 'SHUTDOWN' # system shutdown
HEARTBEAT = 'HEARTBEAT'
... |
import re
from typing import List, Callable, Tuple, Union
_Tokenizer = Callable[[bytes], Tuple[List[int], List[int]]]
ZWSP = "\u200B"
class Segmenter():
def __init__(self, tokenizer: _Tokenizer, separator: bytes):
self._tokenizer = tokenizer
self._separator = separator
escaped_separator = re.escape(separa... |
# synthetic airspeed experiment
import math
import numpy as np
from scipy.interpolate import Rbf
# x, y, z, d = np.random.rand(4, 50)
# rbfi = Rbf(x, y, z, d) # radial basis function interpolator instance
# xi = yi = zi = np.linspace(0, 1, 20)
# di = rbfi(xi, yi, zi) # interpolated values
# di.shape
# (20,)
phi_l... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import argparse
import base64
import hashlib
import struct
import sys
import zlib
import M2Crypto
import utils
__version__ = '1.0'
class LicenseDecodeError(Exception):
pass
class AtlassianLicenseDecoder(object... |
from . import *
def test_raises_attr_error_if_function_not_overloaded(overloaded):
def foo(): ...
with pytest.raises(AttributeError):
overloaded.foo()
def test_basic_same_function_name(overloaded):
@overloaded
def foo(a, b): return a ** b
assert overloaded.foo(2, 3) == 8
assert... |
#! /usr/bin/env python3
"""
Tapeimgr, automated reading of tape
Command-line interface
Author: <NAME>
Research department, KB / National Library of the Netherlands
"""
import sys
import logging
import argparse
import uuid
from .tape import Tape
from . import config
class tapeimgrCLI:
"""This class defines the... |
# Input Optimization Algorithm Tests
# ReverseLearning, 2017
# Linear :: f(x) = 2x + 3
# 17.0
# CALCULATED : f(6.9999) = 16.9999
# TARGET : f(7) = 17
# EPOCHS : 35 (Beat Error)
# Positive Quadratic :: f(x) = x^2 - 8x + 15
# Minimum
# CALCULATED : f(3.99999) = -1
# TARGET : f(4.0) = -1
# EPOCHS : 71 (L... |
# -*- coding: utf-8 -*-
# This program converts an prepped Urdu text file containing a Bible book to USFM form.
# Extra-biblical content (book overview, outline, footnotes, etc.) has been removed.
# Chapters are already marked.
# Verse numbers all begin on a new line.
# Leaves .txt file unchanged.
# Writes .us... |
"""
Copyright 2012 <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, ... |
import tensorflow as tf
from utils import tf_util2
from utils.pointnet_util import pointnet_sa_module,pointnet_fp_module
def placeholder_inputs(batch_size, num_point,up_ratio = 4):
pointclouds_pl = tf.placeholder(tf.float32, shape=(batch_size, num_point, 6))
pointclouds_gt = tf.placeholder(tf.float32, shape=(b... |
import abc
from dataclasses import dataclass
import numpy as np
from .. import gl
glsl_types = {
'float': gl.GL_FLOAT,
'vec2': gl.GL_FLOAT_VEC2,
'vec3': gl.GL_FLOAT_VEC3,
'vec4': gl.GL_FLOAT_VEC4,
'int': gl.GL_INT,
'ivec2': gl.GL_INT_VEC2,
'ivec3': gl.GL_INT_VEC3,
'ivec4': gl.GL_INT_V... |
import contextlib
import itertools
import logging # noqa
import os.path
import typing as ta # noqa
from omnibus import check
from omnibus import collections as ocol
from omnibus import dataclasses as dc
from omnibus import inject as inj
from omnibus import lang # noqa
from omnibus import logs # noqa
from omnibus i... |
from copy import deepcopy
import numpy as np
import time
import sklearn
from sklearn.linear_model import LinearRegression, Ridge, RidgeCV
"""
Generates the data by sampling it from a centered Gaussian distribution with a
certain covariance matrix. It also generates the ground truth function and the
values of the pred... |
import datetime
import json
import logging
import multiprocessing
import time
import traceback
import requests
from gcloud.rest.core import backoff
from gcloud.rest.core.util import decode
from gcloud.rest.taskqueue.error import FailFastError
from gcloud.rest.taskqueue.queue import TaskQueue
log = logging.getLogger... |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
'''Generalized Bayes Classifiers
'''
import numpy as np
from sklearn import svm
from thomas.field import *
from thomas.bayes import *
from neupy import algorithms, environment
environment.reproducible()
model_dict={'svm':svm.SVC(kernel='rbf'), 'grnn':algorithms.GRNN... |
#!/usr/bin/env python3
import signal, sys, os, getopt
d = os.path.dirname(sys.argv[0])
sys.path.append(d)
pid_dir = "/tmp"
import pywind.evtframework.evt_dispatcher as dispatcher
import fdslight_etc.fn_server as fns_config
import fdslight_etc.fn_client as fnc_config
import freenet.lib.fdsl_ctl as fdsl_ctl
import free... |
# -*- coding:utf-8 -*-
from owlmixin import OwlMixin, TOption
from owlmixin.owlcollections import TList, TDict
from jumeaux.addons.judgement import JudgementExecutor
from jumeaux.utils import (
exact_match,
when_optional_filter,
get_jinja2_format_error,
get_by_diff_key,
)
from jumeaux.logger import Lo... |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
#load the iris data set to program
import tkinter.messagebox as m
from sklearn.datasets import load_iris
iris=load_iris()
X=iris.data
Y=iris.target
########split the dataset for training and testing
from sklearn.model_selection import train_test_split
X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size... |
from tsbenchmark.tasks import TSTask
from tsbenchmark.callbacks import ReporterCallback
from hypernets.utils import logging
import os
import tempfile
from pathlib import Path
import pytest
from hypernets.hyperctl.appliation import BatchApplication
from hypernets.utils import ssh_utils
from tsbenchmark.benchmark imp... |
# Copyright 2017 BBVA
#
# 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, softwar... |
"""Run the jobs in this file.
Example running jobs.
Make a <username>_jobs.py and have it call do_jobarray.
"""
import itertools
import os
import socket
import sys
import getpass
hostname = socket.gethostname()
is_cims = any([
hostname.startswith('cassio'),
hostname.startswith('dgx'),
hostname.startswit... |
# Copyright (C) 2021. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# ME... |
import time
from PIL import ImageFont
from PIL.ImageDraw import ImageDraw
from luma.core.device import device
from luma.core.interface.serial import spi, noop
from luma.core.render import canvas
from luma.core.virtual import viewport
from luma.emulator.device import pygame
from luma.led_matrix.device import max7219
... |
"""
template_test_harness.py
Template which loads the context of a process into a Unicorn Engine,
instance, loads a custom (mutated) inputs, and executes the
desired code. Designed to be used in conjunction with one of the
Unicorn Context Dumper scripts.
Author:
<NAME> <<EMAIL>>
"""
i... |
from pathlib import Path
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
import cv2
from torchvision.utils import save_image
import numpy as np
from perception.custom_datasets import ComparisonDataset, DepthDataset, SegmentationDataset
from perception.training.models import createUNet, crea... |
# --------------------------------------------------------------------------------------
# Copyright 2016, <NAME>, <NAME>, <NAME>, <NAME>
# Hummingbird is distributed under the terms of the Simplified BSD License.
# -------------------------------------------------------------------------
"""Coordinates data reading, t... |
# -*- coding: utf-8 -*-
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
from tqdm import tqdm
import multiprocessing.dummy as multiprocessing
from pathos.multiprocessing import ProcessingPool as Pool
from functools import partial
IMG_BIT_DEPTH = 2**8
num_workers = multiprocessing.cpu... |
import tensorflow as tf
import numpy as np
# FlopcoKeras install is broken on pip 20.1 due to use of pip internals in setup.py
# https://www.gitmemory.com/issue/Aloomaio/alooma-python/120/629762153
# from flopco_keras import FlopCoKeras
ProfileOptionBuilder = tf.compat.v1.profiler.ProfileOptionBuilder
def calculate... |
import os
import pickle
import numpy as np
import pandas as pd
import feature_impact
from feature_generation import add_features
RESULT_DTYPES = {'BusinessModelRisk': np.int32,
'DesireToInvest': np.int32,
'ManagementShareholdersConflict': np.int32,
'NegativeSharehol... |
import click
import sys
import pandas as pd
# Fix Python 2.x.
try:
UNICODE_EXISTS = bool(type(unicode))
except NameError:
unicode = lambda s: str(s)
def printDebug(text, mystyle="", **kwargs):
"""
util for printing in colors using click.secho()
:kwargs = you can do printDebug("s", bold=True)
... |
"""Path and path finding related functions."""
from __future__ import annotations
import sys
from collections import defaultdict
from dataclasses import dataclass, field
from itertools import islice
from operator import attrgetter
from typing import (TYPE_CHECKING, DefaultDict, Dict, Iterator, List, Set,
... |
"""Use ctypes to load libOdb.so and access symbols"""
import ctypes
from ctypes.util import find_library
from .util import suppress_stdout
_LIB = find_library("Odb")
if _LIB is None:
raise OSError("Could not find libOdb. Try updating your LD_LIBRARY_PATH.")
_ODBQL = ctypes.CDLL(_LIB)
_ODBQL.odbql_column_name.re... |
# Code by <NAME>
# Edited by <NAME> 07/2015
from builtins import zip
from builtins import range
import numpy as np
from cosmosis.datablock import names as section_names
from cosmosis.datablock import option_section
import scipy.interpolate
import warnings
def gaussian(z, mu, sigma):
g = np.exp(-0.5 * (z - mu)**2... |
from typing import List
import argparse
import configparser
import logging
import codecs
import json
import pickle
import pandas as pd
import numpy as np
logging.basicConfig(format='{asctime} : {levelname} : {message}', level=logging.INFO, style='{')
logger = logging.getLogger(__name__)
def get_parser():
"""
... |
import os
from lingvo import model_registry
from lingvo.core import base_model_params
from lingvo.core import datasource
from lingvo.core import program
from lingvo.core import py_utils
from lingvo.core import schedule
from lingvo.core import tokenizers
from lingvo.tasks.asr import input_generator
from lingvo.tasks.as... |
import numpy as np
import pandas as pd
import re
from functools import partial
from nltk import word_tokenize, pos_tag
from nltk.corpus import wordnet as wn
from nltk.stem import WordNetLemmatizer
from nltk.stem.snowball import SnowballStemmer
import multiprocessing
import enchant
# nltk.download('wordnet')
# nltk.dow... |
#!/usr/bin/env python
from __future__ import unicode_literals
import json
import io
import sys
from onnx import defs
from onnx.defs import OpSchema
from onnx.backend.test.case import collect_snippets
snippets = collect_snippets()
categories = {
'Constant': 'Constant',
'Conv': 'Layer',
'ConvTranspose':... |
'''
Convenient functions
'''
import numpy as np, yt, os, h5py as h5, sys
from Physics import *
from Models import *
### Probability / Likelihood Functions
def histogram( data, bins=10, range=None, density=None, log=False ):
## compute histogram of data array, allows for log-scaled binning and probability de... |
import nonechucks as nc
from .. import transforms as TC
from .custom import CustomDataset
from .synthtext import SynthTextDataset
from torch.utils.data.dataloader import DataLoader
mean_norm = [0.485, 0.456, 0.406]
std_norm = [0.229, 0.224, 0.225]
def trainset_transform(resize_size=(224, 224), img_size=(224, 224)... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2013 Kitware 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 cop... |
import tensorflow as tf
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense
from tensorflow.keras.layers import Activation, BatchNormalization, Flatten
from tensorflow.keras.models import Sequential
from keras.models import Model
from functools import partial
import cv2
import numpy as np
# AUTOTU... |
import enum
import multiprocessing as mp
from typing import Dict
import numpy as np
import torch
from cid.rollouts.base import BaseRolloutGenerator
class ParallelRolloutGenerator(BaseRolloutGenerator):
"""Generator producing multiple environment rollouts in parallel
Parallel rollouts are generated in worke... |
from rest_framework import serializers, fields
from .models import GreenUser
from supplier.models import Supplier
from hubmanager.models import HubManager, LogicHub
from loader.models import HubLoader
from django.contrib import auth
from rest_framework.exceptions import AuthenticationFailed
from rest_framework_simplejw... |
# Author: <NAME>
# Email alejandro.bernardis at gmail.com
# Created: 2019/11/05 07:22
import sys
import json
import docopt
import collections
from inspect import getdoc
from functools import partialmethod
from docopt import DocoptExit
from pathlib import Path
from tomlkit import api
from tomlkit.container import Conta... |
from elftools.elf.elffile import ELFFile
from binascii import hexlify
from unicorn import *
from unicorn.arm64_const import *
import struct
import re
global instructions_run, current_id
instructions_run = 0
current_id = 0
module_functions = []
module_names = []
SMASH_REGISTER_MODULE = 0x29570e0
SMASH_REGISTER_FUNCT... |
"""
EXAMPLE 08: WAGON EXCHANGE
---------------------------
TOPIC: Multiple Trains, Driving, Steering, Wagon Decoupling, Snap Command Events
SETUP: build a track with nested loops on both sides (using 4x splits, 2x straights, 12x curves).
Add snap commands as follows:
- WHITE-MAGENTA-WHITE: double sided snap comman... |
from flask import Flask, jsonify
from scipy import stats
import numpy as np
import pandas as pd
import datetime as dt
from datetime import datetime
from dateutil.relativedelta import relativedelta
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import... |
import logging
import onnx
from onnx import numpy_helper
from onnx.helper import make_model, make_tensor_value_info, make_opsetid
from furiosa_sdk_quantizer.frontend.onnx.quantizer.utils import __PRODUCER__
from furiosa_sdk_quantizer.frontend.onnx import __DOMAIN__, __OPSET_VERSION__
logger = logging.getLogger("Furio... |
import gzip
import logging
import os
import shutil
import tensorflow as tf
from six.moves import urllib
MNIST_MIRROR = 'http://yann.lecun.com/exdb/mnist/'
FI = ['train-images-idx3-ubyte', 'train-labels-idx1-ubyte', 't10k-images-idx3-ubyte', 't10k-labels-idx1-ubyte']
logging.basicConfig(level=logging.INFO)
logger = log... |
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from datetime import datetime
import numpy as np
from numpy import ma
from pyWOA.woa import WOA
def test_import():
# A shortcut
from pyWOA import WOA
db = WOA()
def test_available_vars():
db = WOA()
for v in ['TEMP', 'PSAL']:
... |
import numpy as np
"""
This class loads a PACMAN control file (pcf) and lets you
querry the parameters and values.
Constructor Parameters:
-----------------------
file : A control file containing the parameters and values.
Notes:
------
A parameter can have one or more values, differe... |
#!/usr/bin/env python
###############################################################################
#
# utilities.py
#
# Copyright (C) 2011 <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 ... |
import pandas as pd
from rebar import arrdict
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.distributions
import torch.testing
from torch import nn
import geotorch
from . import expectations, common
from logging import getLogger
log = getLogger(__name__)
μ0 = 0
σ0 = 10
def pairwise_ind... |
from collections import defaultdict
import argparse
class Dictionary(object):
"""A mapping from symbols to consecutive integers"""
def __init__(self, input, word_dict_min_num=2):
self.files = ['train.0', 'dev.0', 'test.0', 'train.1', 'dev.1', 'test.1']
self.files = [input+"/"+f for f in self.fi... |
#!/usr/bin/env python
"""
Functions for reading and writing nifti volume files.
Authors:
- <NAME>, 2012-2016 (<EMAIL>) http://binarybottle.com
Copyright 2016, Mindboggle team (http://mindboggle.info), Apache v2.0 License
"""
def convert2nii(input_file, reference_file, output_file='', interp='continuous'):
... |
'''
Parse yml files to markdown
Execute this script from root
python scripts/parse.py
Urmi
'''
import yaml
import glob
import os
import sys
import traceback
from operator import itemgetter
datasets=[] #is a list of lists, each inner-list is a row
resources=[] #is a list of lists
#headers
datasets_h1=['S.No.','Date'... |
from numba import cuda
from numba import *
import numpy as np
from PIL import Image, ImageDraw, ImageFont
from constants import palette
import json
import sys
import math
targetObject = sys.argv[1]
#load calibration JSON from standard
with open("calibration.json", 'r') as f:
calibration = json.load(f)
#load target m... |
from __future__ import print_function
import os, time
import torch
import torch.nn.functional as F
from datasets import get_img_loader
from nets import ConvODENet
from trainer import TrainerBase
import util, options
import easydict
from torch.optim import SGD, Adam
from torchdiffeq import odeint_adjoint as odesolve
... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
import argparse
import torch
import torchaudio
import string
from tqdm import tqdm
from pathlib import Path
from typing import Dict,... |
"""
From <NAME>'s fft-gal-convolution paper...
"""
import numpy as np
def fftgalmog(re, e1, e2, profile, cdmatrix, dx, dy, psfshape):
# Compute galaxy affine transform terms
# eqn (2)
e = np.hypot(e1, e2)
orig_e = e
# add this max() to handle e1=e2=0.
e = max(e, 1e-16)
# eqn (A9)
# c2... |
#!/usr/bin/env python
#
# Read Greenhouse sensor data from an XBee.
#
# Written by <NAME>
#
from xbee import ZigBee
import sys
import serial
import struct
import yaml
import paho.mqtt.client as mqtt
import json
import sys
import time
import signal
import logging
# Set the logging level
logging.basicConfig(level=logg... |
from .common import *
class LinearSolver(Enum):
default = 0
mumps, petsc, superlu, umfpack = 1, 2, 3, 4
bicgstab, cg, gmres, minres, richardson, tfqmr = 5, 6, 7, 8, 9, 10
class Preconditioner(Enum):
default = 0
none, icc, jacobi, ilu, sor = 1, 2, 3, 4, 5
amg, hypre_amg, petsc_amg = 6, 7, 8
... |
from .utils.coordinates_helper import view2pixel
from .neural_network.NeuralNetwork import NeuralNetwork
from .utils.sky_extractor import extract_sky
from .utils.fixes import fix_dead_pixels
from datetime import datetime, timedelta
from matplotlib import path
import matplotlib.patches as patches
import matplotlib.pyplo... |
import matplotlib.pyplot as plt
from tkinter import *
from tkinter.filedialog import askopenfilename
from PIL import Image, ImageTk
import matplotlib.image as mpimg
from scipy import misc
import math
import numpy as np
import sys as sys
from point import P2_Point
from point import R2_Point
import copy
def normalizeIm... |
"""Platform to control a Zehnder ComfoAir ventilation unit."""
import logging
from pycomfoconnect import (
SENSOR_BYPASS_STATE,
SENSOR_DAYS_TO_REPLACE_FILTER,
SENSOR_FAN_EXHAUST_DUTY,
SENSOR_FAN_EXHAUST_FLOW,
SENSOR_FAN_EXHAUST_SPEED,
SENSOR_FAN_SUPPLY_DUTY,
SENSOR_FAN_SUPPLY_FLOW,
SENS... |
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