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#!/usr/local/bin/python3
# -*- coding: utf-8 -*-
import os
import argparse
import logging
import numpy as np
from PIL import Image
import matplotlib
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
from torchvision import transforms
import cv2
import tqdm
from net.pspnet import PSPNet
models = {
... |
from __future__ import print_function
"""
Low-level serial communication for Trinamic TMCM-140-42-SE controller
(used internally for the Thorlabs MFC1)
"""
import serial, struct, time, collections
try:
# this is nicer because it provides deadlock debugging information
from acq4.util.Mutex import RecursiveMut... |
# dkhomeleague.py
import json
import logging
import os
from string import ascii_uppercase
import pandas as pd
from requests_html import HTMLSession
import browser_cookie3
import pdsheet
class Scraper:
"""scrapes league results"""
def __init__(self, league_key=None, username=None):
"""Creates instan... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
##... |
import random
from typing import Optional, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from torch_geometric.utils import coalesce, degree, remove_self_loops
from .num_nodes import maybe_num_nodes
def negative_sampling(edge_index: Tensor,
num_nodes: Optional[Union[int... |
import torch
from kornia.geometry.linalg import transform_points
from kornia.geometry.transform import remap
from kornia.utils import create_meshgrid
from .distort import distort_points, tilt_projection
# Based on https://github.com/opencv/opencv/blob/master/modules/calib3d/src/undistort.dispatch.cpp#L384
def undis... |
import numpy as np
from math import pi,exp
def static_stability(height,area,theta,s_et=None,n_et=None):
"""
The function "static_stability" computes the vertical gradient (z-derivative)
of hemispheric-averaged potential temperature, i.e. d\tilde{theta}/dz in the def-
inition of QGPV in eq.(3) of Huang ... |
import numpy as np
import scipy.interpolate
import scipy.ndimage
from sklearn.feature_extraction.image import extract_patches_2d, reconstruct_from_patches_2d
def _calc_patch_grid_dims(shape, patch_size, patch_stride):
x_w, x_h, x_c = shape
num_rows = 1 + (x_h - patch_size) // patch_stride
num_cols = 1 + (... |
import bz2
import csv
import collections
import math
from enum import Enum
class Select(Enum):
FIRST = 'first'
RANGE_KEY = 'range_key'
RANGE_VALUE = 'range_value'
class SelectPolicy:
def __init__(self, policy, field=None):
self.policy = policy
self.field = field
class StateSet:
... |
"""
Functions for reading Magritek Spinsolve binary (dx/1d) files and
parameter (acqu.par/proc.par) files.
"""
import os
from warnings import warn
import numpy as np
from . import fileiobase
from . import jcampdx
__developer_info__ = """
Spinsolve is the software used on the Magritek benchtop NMR devices.
A spect... |
#
# nuna_sql_tools: Copyright 2022 Nuna 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... |
''' Advent of code 2019 Day 11 - Space police '''
from typing import NamedTuple
from enum import Enum
INPUT_FILE=__file__.replace('.py', '.dat')
def to_number(digits: list) -> int:
return int(''.join(map(str, digits)))
def to_list(number: int) -> list:
return [int(i) for i in str(number)]
... |
# -*- coding: utf-8 -*-
import json
import pdb
import os
from os.path import join as pj
import networkx as nx
import pandas as pd
from networkx.readwrite.json_graph import node_link_data
def chain():
g = nx.Graph()
# Horizontal
for i in range(11, 15):
g.add_edge(i, i + 1)
for i in range(... |
# -*- coding: utf-8 -*-
from sklearn import preprocessing
from torch.autograd import Variable
from models_gat import GAT
import os
import torch
import numpy as np
import argparse
import pickle
import sklearn.metrics as metrics
import cross_val
import time
import random
torch.manual_seed(0)
np.random.seed(0)
random.s... |
import copy
import numbers
import struct
from ._common import *
from ._exif import *
TIFF_HEADER_LENGTH = 8
def dump(exif_dict_original):
"""
py:function:: piexif.load(data)
Return exif as bytes.
:param dict exif: Exif data({"0th":dict, "Exif":dict, "GPS":dict, "Interop":dict, "1st":dict, "thumbn... |
import pygame
import random
from pygame import *
pygame.init()
width, height = 740, 500
screen = pygame.display.set_mode((width, height))
player = [pygame.transform.scale(pygame.image.load("Resources/Balljump-1(2).png"), (100,100)), pygame.t... |
#
# This file is part of LiteX.
#
# Copyright (c) 2014-2019 <NAME> <<EMAIL>>
# Copyright (c) 2019 msloniewski <<EMAIL>>
# Copyright (c) 2019 vytautasb <<EMAIL>>
# SPDX-License-Identifier: BSD-2-Clause
import os
import subprocess
import sys
import math
from shutil import which
from migen.fhdl.structure import _Fragmen... |
import http
import logging
from typing import List, Tuple, MutableMapping
from datetime import datetime
import re
from requests.packages.urllib3 import Retry
import autoscaler.utils as utils
from autoscaler.autoscaling_groups import AutoScalingGroup
from autoscaler.azure_api import AzureApi, AzureScaleSet, AzureScale... |
import datetime as dt
from os.path import dirname, join
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
from bokeh.io import curdoc
from bokeh.layouts import column, gridplot, row
from bokeh.models import ColumnDataSource, DataRange1d, Select, HoverTool, Panel, Tabs, LinearC... |
#!/usr/bin/env python3
# vim:fileencoding=UTF-8
# -*- coding: UTF-8 -*-
"""
Created on 15 juny 2019 y.
@author: <NAME> <EMAIL>
"""
import sys
import struct
import numpy as np
from progress.bar import Bar
import logging
logging.basicConfig(format = u'%(filename)s:%(lineno)d: %(levelname)-8s [%(asctime)s] %(message)s... |
import os
import pickle
import time
import timeit
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import torch
import tempfile
import horovod.torch as hvd
from horovod.ray import RayExecutor
from ray_shuffling_data_loader.torch_dataset import (TorchShufflingDatase... |
'''
Models for QtWidgets
'''
from collections import deque
from math import ceil
import datetime as dt
import calendar
class EventInCalendar__Model:
class Text:
@staticmethod
def getDefault():
return EventInCalendar__Model.Text()
def __init__(self, event=None, overflow=Fal... |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
import multiprocessing as mp
import subprocess
import shutil
import os
from ..helper import make_path_safe, thirdparty_binary, filter_scp
from ..exceptions import CorpusError
def mfcc_func(directory, job_name, mfcc_config_path): # pragma: no cover
log_directory = os.path.join(directory, 'log')
raw_mfcc_path... |
#!/usr/bin/env python3
"""get tag from http://demo.illustration2vec.net/."""
# note:
# - error 'ERROR: Request Entity Too Large' for file 1.1 mb
# <span style="color:red;">ERROR: Request Entity Too Large</span>
from collections import OrderedDict
from pathlib import Path
from pprint import pformat
import imghdr
import ... |
# Copyright 2021 <NAME> <<EMAIL>>
# SPDX-license-identifier: 0BSD
import string
from loguru import logger
try:
import cell_pos
from exceptions import InvconvMissingHeaders
import ftype
import msg_handler
except ModuleNotFoundError:
import invconv.cell_pos as cell_pos
from invconv.exceptions i... |
from functools import partial
from uuid import UUID
from dateutil.parser import parse as dateutil_parse
from django.apps import apps
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from r... |
import argparse
from time import sleep, time
from collections import defaultdict
from sqlalchemy import orm, text, insert, delete
from sqlalchemy.orm import selectinload
import models
from app import db
from app import logger
from scripts.queue import JsonWorks, JsonAuthors, JsonConcepts, JsonInstitutions, JsonVenues... |
import unittest
import datetime
import rdflib # needed for eval(repr(...)) below
from rdflib.term import Literal, URIRef, _XSD_DOUBLE, bind, _XSD_BOOLEAN
from rdflib.namespace import XSD
def uformat(s):
return s.replace("u'", "'")
class TestLiteral(unittest.TestCase):
def setUp(self):
pass
de... |
import datetime
import getpass
import logging
import os
import pathlib
import platform
import re
import smtplib
import sys
from contextlib import contextmanager
from email.message import EmailMessage
from functools import wraps
import azure.functions as func
import click
import gspread
import pandas as pd
from apsched... |
import torch.nn as nn
import torch.nn.functional as F
from haptic.Pointnet_Pointnet2_pytorch.models.pointnet2_utils import PointNetSetAbstractionMsg,PointNetFeaturePropagation
class get_shared_model(nn.Module):
def __init__(self, use_batch_norm, num_classes, num_input_channel=7):
super(get_shared_model, s... |
import datetime
import os
from io import BytesIO
import logging
from functools import wraps
from copy import deepcopy
from collections import Counter
import slugify
import yaml
import mistune
import requests
from flask import \
Blueprint, Flask, render_template, abort, send_file, make_response
from flask_cors imp... |
# -*- coding: utf-8 -*-
#Copyright (c) 2010,12 <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, ... |
'''
Copyright (C) 2021 CG Cookie
http://cgcookie.com
<EMAIL>
Created by <NAME>, <NAME>
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 op... |
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
concat,
)
import pandas._testing as tm
@pytest.mark.parametrize("func", ["cov", "corr"])
def test_ewm_pairwise_cov_corr(func, frame):
result = getattr(frame.ewm(span=10, min_periods=5), func)()
result = result.loc[(slice(Non... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from typing import Callable, Dict
import torch
import torch.nn as nn
from nni.retiarii import model_wrapper
from nni.retiarii.nn.pytorch import NasBench201Cell
__all__ = ['NasBench201']
OPS_WITH_STRIDE = {
'none': lambda C_in, C_out, st... |
import datetime
from enum import Enum
from typing import Any, Callable, Dict, List, Optional, Type, TypeVar, Union, cast
import attr
import ciso8601
import structlog
from attr import converters
from . import enums
from .utils import as_json_dict, to_snake_case
logger = structlog.get_logger()
class Omitted(Enum):
... |
"""
preprocess of (single lead) ecg signal:
band pass --> remove baseline --> find rpeaks --> denoise (mainly deal with motion artefact)
TODO:
1. motion artefact detection,
and slice the signal into continuous (no motion artefact within) segments
2. to add
References:
-----------
[1] https://github... |
from django.shortcuts import render, HttpResponse, HttpResponseRedirect
from django.template import loader
from django.conf import settings
from django.contrib.auth.models import User
from rameniaapp.models import ReviewReport, ProfileReport, NoodleReport, Report, Review, Profile, Noodle
from django.views.generic impor... |
import os
from functools import partial
from io import BytesIO
import numpy as np
import PIL.Image
import scipy.misc
import tensorflow as tf
graph = tf.Graph()
sess = tf.InteractiveSession(graph=graph)
model_fn = "./models/tensorflow_inception_graph.pb"
with tf.gfile.FastGFile(model_fn, 'rb') as f:
graph_def = tf... |
import argparse
import collections
import shutil
import sys
import time
from datetime import timedelta
from pathlib import Path
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
try:
# PyTorch >= 1.6 supports mixed precision training
from torch.cuda.amp import autocast
amp_su... |
import inspect
import sys
from abc import ABC, abstractmethod
from enum import Enum
from typing import List, Union, Type, Optional, Dict, Any
from pydantic import BaseModel
from onemsdk.exceptions import NodeTagMismatchException, ONEmSDKException
from .node import Node
__all__ = ['Tag', 'HeaderTag', 'FooterTag', 'Br... |
class Sign:
"""
符号
"""
def __init__(self, sign_type, sign_str='', sign_line=-1):
"""
构造
:param sign_type: 符号的类型
:param sign_str: 符号的内容(可以为空)
:param sign_line: 符号所在行数(可以为空)
"""
self.type = sign_type
self.str = sign_str
self.line = si... |
import csv
import json
import pickle
import logging
import re
import pandas
import gzip
import os
import numpy as np
from random import randint, random
from tqdm import tqdm
from retriever.dense_retriever import DenseRetriever
from models.tokenization import tokenize
from typing import Union, List
class InputExampl... |
# -*- coding: utf-8 -*-
import matplotlib as mpl
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
from cell2cell.clustering import compute_linkage
from cell2cell.preprocessing.manipulate_dataframes import check_symmetry
from cell2cell.plotting.aesthetics import map_col... |
# -*- coding: utf-8 -*- #
# Copyright 2016 Google LLC. 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... |
"""
sources.chicago
===============
Reads a CSV file in the format (as of April 2017) of data available from:
- https://catalog.data.gov/dataset/crimes-one-year-prior-to-present-e171f
- https://catalog.data.gov/dataset/crimes-2001-to-present-398a4
The default data is loaded from a file "chicago.csv" which should be ... |
# -*- encoding: utf-8 -*-
"""Utility functions for computing combinations of dimensions and hierarchy
levels"""
from __future__ import absolute_import
import re
import os.path
import json
from collections import OrderedDict
from .errors import ModelInconsistencyError, ArgumentError, ConfigurationError
from . impor... |
from datetime import date
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.express as px
from dash.dependencies import Input, Output
test_data = pd.read_csv("data/world_data.csv")
today = date.today()
external... |
"""Module with hahomematic services."""
from __future__ import annotations
from datetime import datetime
import logging
from hahomematic.const import (
ATTR_ADDRESS,
ATTR_INTERFACE_ID,
ATTR_NAME,
ATTR_PARAMETER,
ATTR_VALUE,
HmPlatform,
)
from hahomematic.device import HmDevice
from hahomematic... |
# Copyright 2017 <NAME>, <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 pandas as pd
import numpy as np
from copy import *
from bisect import *
from scipy.optimize import curve_fit
from sklearn.metrics import *
from collections import defaultdict as defd
import datetime,pickle
from DemandHelper import *
import warnings
warnings.filterwarnings("ignore")
####################... |
import numpy as np
import spikemetrics.metrics as metrics
from .utils.thresholdcurator import ThresholdCurator
from .quality_metric import QualityMetric
import spiketoolkit as st
from spikemetrics.utils import Epoch, printProgressBar
from collections import OrderedDict
from .parameter_dictionaries import get_recording_... |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import editdistance
import os
impo... |
import math
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
class SimpleMLP(nn.Module):
"""Simple MLP function approximator for Q-Learning."""
def __init__(self, in_dim, out_dim, hidden_units=256, num_hidden_layers=1):
super().__init__()
self.input_layer... |
import pygame
import random
pygame.init()
pygame.font.init()
class Card(object):
""" The Card Class """
def __init__(self, left, top, width, height,
back_color, front_color, solved_color,
display,
font_color, text_font, value=None):
self._rect = pyg... |
from shop.forms import UserForm
from django.views import generic
from django.urls import reverse_lazy
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import auth
from .models import Product, Contact, Categ... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
import json
import logging
import yaml
import requests
import time
from actions.migrate_job_action import MigrateJobAction
from actions.send_alert_action import SendAlertAction
from actions.reboot_node_action import RebootNodeAction
from action... |
"""
Sparse Poisson Recovery (SPoRe) module for solving Multiple Measurement Vector
problem with Poisson signals (MMVP) by batch stochastic gradient ascent and
Monte Carlo integration
Authors: <NAME>, <NAME>
Reference:
[1] <NAME>, <NAME>, <NAME>, and <NAME>, "Extreme Compressed
Sensing of Poisson Rates from Multip... |
# -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""Outline explorer API.
You need to declare a OutlineExplorerProxy, and a function for handle the
edit_goto Signal.
class OutlineExplorerProxyCustom(OutlineExplore... |
import os
import re
import sys
from oguilem.configuration.fitness import OGUILEMFitnessFunctionConfiguration
from oguilem.configuration.ga import OGUILEMGlobOptConfig
from oguilem.configuration.geometry import OGUILEMGeometryConfig
from oguilem.configuration.utils import ConnectedValue, ConfigFileManager
from oguilem.... |
"""\
PROMORT example.
"""
import argparse
import random
import sys
import pyecvl.ecvl as ecvl
import pyeddl.eddl as eddl
from pyeddl.tensor import Tensor
import models
def VGG16(in_layer, num_classes):
x = in_layer
x = eddl.ReLu(eddl.Conv(x, 64, [3, 3]))
x = eddl.MaxPool(eddl.ReLu(eddl.Conv(x, 64, [3, ... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright: (c) 2018, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... |
from .fmodobject import *
from .fmodobject import _dll
from .structures import TAG, VECTOR
from .globalvars import get_class
class ConeSettings(object):
def __init__(self, sptr):
self._sptr = sptr
self._in = c_float()
self._out = c_float()
self._outvol = c_float()
ckresult(... |
from collections import OrderedDict
from datetime import datetime, timezone
import unittest
from os.path import join
from tinydb import TinyDB, storages
from goldfinchsong import utils
IMAGE_NAMES = ['goldfinch1.jpg', 'goldfinch2.jpg', 'goldfinch3.jpg',
'goldfinch4.jpg', 'goldfinch5.jpg']
TEST_TEXT1 = ... |
# -*- coding: utf-8 -*-
"""Implicitly reference attributes of an object."""
from ast import Name, Assign, Load, Call, Lambda, With, Str, arg, \
Attribute, Subscript, Store, Del
from macropy.core.quotes import macros, q, u, name, ast_literal
from macropy.core.hquotes import macros, hq
from macropy.core... |
from __future__ import absolute_import, division, print_function
import json
import logging
import os
import time
import importlib
import multiprocessing
import cv2
import fire
import logzero
from logzero import logger
import numpy as np
from rmexp import config, cvutils, dbutils, gabriel_pb2, client
from rmexp.sche... |
""" pylabnet measurement and service classes for Swabian Instruments TimeTagger
which implements qudi's SlowCounter interface.
This file contains pylabnet wrapper and service classes to allow qudi to
access Swabian Instruments TT through pylabnet network as SlowCounter.
Steps:
- instantiate TimeTagger
- instantiate p... |
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
from math import inf
from typing import Iterator, Any, List, Dict, Type, Optional
EPSILON = 1e-4
class Error(Exception):
pass
class ConstraintError(Error):
pass
class Constraint(metaclass=ABCMeta):
@abstractmethod
def isv... |
from spydrnet.ir import Port, Instance, InnerPin
from spydrnet_tmr.transformation.util import add_suffix_to_name
IN = Port.Direction.IN
OUT = Port.Direction.OUT
INOUT = Port.Direction.INOUT
def apply_nmr(ports_and_instances_to_replicate, degree, name_suffix='NMR', rename_original=True):
"""
Replicate the sele... |
import pandas as pd
from shapely.geometry import Point
import geopandas as gpd
import math
import osmnx
import requests
from io import BytesIO
from zipfile import ZipFile
def read_poi_csv(input_file, col_id='id', col_name='name', col_lon='lon', col_lat='lat', col_kwds='kwds', col_sep=';',
kwds_sep=',... |
import re
import random
from collections import defaultdict
import src.settings as var
from src.utilities import *
from src import debuglog, errlog, plog
from src.decorators import cmd, event_listener
from src.messages import messages
from src.events import Event
KILLS = {} # type: Dict[str, List[str]]
@cmd("kill", ... |
"""Loading MNIST dataset.
"""
import struct
import numpy as np
class MNIST:
"""
Loading MNIST dataset.
In the directory of MNIST dataset, there should be the following files:
- Training set:
- train-images-idx3-ubyte
- train-labels-idx1-ubyte
- Test set:
... |
#
# Copyright 2018, 2020 <NAME>
# 2019-2020 <NAME>
# 2015-2016 <NAME>
#
# ### 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 ... |
from pprint import pprint
import SCons.Builder
from SCons.Script import *
import json
import os
import copy
import collections
import xml.etree.ElementTree as ET
from mplabx import MPLABXProperties
MAKEFILE_TEXT = '''
MKDIR=mkdir
CP=cp
CCADMIN=CCadmin
RANLIB=ranlib
build: .build-post
.build-pre:
.build-post: .build-i... |
# 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... |
"""
Environment for basic obstacle avoidance controlling a robotic arm from UR.
In this environment the obstacle is only moving up and down in a vertical line in front of the robot.
The goal is for the robot to stay within a predefined minimum distance to the moving obstacle.
When feasible the robot should continue to... |
# Advent of Code - 2015 - Day 7
# --- Day 7: Some Assembly Required ---
# This year, Santa brought little Bobby Tables a set of wires and bitwise logic gates! Unfortunately, little Bobby is a little under the recommended age range, and he needs help assembling the circuit.
# Each wire has an identifier (some lowerca... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 16:12:56 2020
@author: dylanroyston
"""
# import/configure packages
import numpy as np
import pandas as pd
#import pyarrow as pa
import librosa
import librosa.display
from pathlib import Path
#import Ipython.display as ipd
#import matplotlib.pyp... |
#!/usr/bin/env python3
import sys
import os
import re
import json
import traceback
import pkg_resources
import tarfile
from collections import OrderedDict
import anchore_engine.analyzers.utils, anchore_engine.utils
def get_python_evidence(tfl, member, memberhash, evidence):
global binary_package_el
full... |
from quiet_coms import find_quiet_ports
from quiet import Quiet
import time
if 'EXIT_ON_FAIL' not in locals():
VERBOSE = True
EXIT_ON_FAIL = True
class QuietI2C(Quiet):
def __init__(self, coms, **kargs) -> None:
Quiet.__init__(self, coms, **kargs)
def raw_write(self, addr: int, data: bytearra... |
# Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
from controller import Robot
from controller import Motor
from controller import PositionSensor
from controller import Robot, DistanceSensor, GPS, Camera, Receiver, Emitter
import cv2
import numpy as np
import math
import time
robot = Robot()
timeStep = 32
tile_size = 0.12
speed = 6.28
media_baldoza = 0.06
estado = 1
... |
# -*- coding: utf-8 -*-
"""User functions to streamline working with selected pymer4 LMER fit
attributes from lme4::lmer and lmerTest for ``fitgrid.lmer`` grids.
"""
import functools
import re
import warnings
import numpy as np
import pandas as pd
import matplotlib as mpl
from matplotlib import pyplot as plt
import f... |
# Copyright (c) 2019 Graphcore 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 required by applicable l... |
import os
import cv2
import time
import json
import random
import inspect
import argparse
import numpy as np
from tqdm import tqdm
from dataloaders import make_data_loader
from models.sync_batchnorm.replicate import patch_replication_callback
from models.vs_net import *
from utils.loss import loss_dict
from utils.lr_s... |
import os
import numpy as np
import time
import multiprocessing as mp
import csv
import socket
import datetime
import math
import glob
from pypushexp import PushSim
# # input - [recorded item]
# [weight] : 48
# [height] : 160
# [crouch_angle] (deg)
# [step_length_ratio]
# [halfcycle_duration_rati... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from __future__ import division
import os
import numpy
from io import BytesIO
from matplotlib import pyplot
import requests
import torch
from PIL import Image
from maskrcnn_benchmark.config import cfg
from predictor import COCODemo
from maskrcnn... |
# coding: utf-8
from __future__ import division, print_function
# Standard library
import time
# Third-party
import matplotlib.pyplot as plt
import numpy as np
from scipy.misc import derivative
from astropy.extern.six.moves import cPickle as pickle
import pytest
# Project
from ..io import load
from ..core import C... |
# -*- coding: utf-8 -*-
from argparse import ArgumentParser
import json
import time
import pandas as pd
import tensorflow as tf
import numpy as np
import math
from decimal import Decimal
import matplotlib.pyplot as plt
from agents.ornstein_uhlenbeck import OrnsteinUhlenbeckActionNoise
eps=10e-8
epochs=0... |
#!/usr/bin/env python
"""Virtual filesystem module based on pyfsntfs."""
import stat
from typing import Any, Callable, Dict, Iterable, Optional, Text, Type
import pyfsntfs
from grr_response_client import client_utils
from grr_response_client.vfs_handlers import base as vfs_base
from grr_response_core.lib import rdfv... |
# -*- coding: utf-8 -*-
#
# Copyright 2014 Red Hat, 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... |
# Copyright (c) 2016-2019. Mount Sinai School of Medicine
#
# 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 ... |
#!/usr/bin/env python
# coding: utf-8
# conda install pytorch>=1.6 cudatoolkit=10.2 -c pytorch
# wandb login XXX
import json
import logging
import os
import re
import sklearn
import time
from itertools import product
import numpy as np
import pandas as pd
import wandb
#from IPython import get_ipython
from keras.prepro... |
# 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... |
import os
import sys
import argparse
import time
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
# from sru import *
import dataloader
import modules
class Model(nn.Module):
def __init__(self, embe... |
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.animation as animation
matplotlib.use('Agg')
import math
import numpy as np
import sys
from os.path import join, isfile
import warnings
warnings.filterwarnings("ignore")
def gda(x, y):
x = x.T
y = y.T
# phi = P(y = 1)
# mu[i] = mea... |
"""
Several methods for generating graphs from the stochastic block model.
"""
import itertools
import math
import random
import scipy.sparse
import numpy as np
def _get_num_pos_edges(c1_size, c2_size, same_cluster, self_loops, directed):
"""
Compute the number of possible edges between two clusters.
:pa... |
#!/usr/bin/env python3
def test():
cedTest = ["U²sgal²sdi ạ²dv¹ne²³li⁴sgi.", "Ụ²wo²³dị³ge⁴ɂi gi²hli a¹ke²³he³²ga na ạ²chu⁴ja.",
"Ạ²ni²³tạɂ³li ạ²ni²sgạ²ya a¹ni²no²hạ²li²³do³²he, ạ²hwi du¹ni²hyọ²he.",
"Sa¹gwu⁴hno ạ²sgạ²ya gạ²lo¹gwe³ ga²ne²he sọ³ɂị³hnv³ hla².",
"Na³hnv³ gạ... |
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