text stringlengths 3.07k 12.6k |
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import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch3d.ops import GraphConv
from pytorch3d.io import load_objs_as_meshes
from pytorch3d.renderer import Textures
class STN3d(nn.Module):
def __init__(self):
super(STN3d, self).__init__()
self.conv1 = GraphConv(3, 64)
... |
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015, 2016 <NAME>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publish... |
######################################CONSTANTS######################################
DEFAULT_RC = {
'lines.markersize': 2,
'font.size': 6,
'font.family': 'serif',
'font.serif': ['Times'],
# 'text.usetex': True,
'axes.titlesize': 6,
'axes.labelsize': 5,
'legend.fontsize': 5,
'legend.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/6/5 17:36
# @Author : CoderCharm
# @File : __init__.py.py
# @Software: PyCharm
# @Desc :
"""
模仿flask 工厂模式目录结构
"""
import traceback
import app.api.v1.profile
from fastapi import FastAPI, Request, status
from fastapi.encoders import jsonable_encod... |
"""
.. module:: proxy.py
:synopsis: Transparent access to Redis as a data structure server
.. moduleauthor:: <NAME> <http://github.com/atl>
Rather than use the native redis-py's methods for getitem/setitem as simple
key-value storage, use item access as a means to obtain proxy objects for
structures in the redis st... |
import os
import logging
from lxml import etree
logger = logging.getLogger(__name__)
class Report(object):
def __init__(self):
self.reporters = []
def test_name(self, name):
for reporter in self.reporters:
reporter.change_test(name)
def test_file(self, name):
for rep... |
# @Author: AshishKingdom(<NAME>)
#help files parser related functions
import requests
def getRawDataFromQB64Wiki(keyword):
#return the raw wiki data from http://qb64.org/wiki if it succeed
#otherwise, we will be using data from the stored help files
r = requests.get("http://wiki.qb64.org/wiki/inde... |
from __future__ import absolute_import, division, print_function, unicode_literals
from collections import OrderedDict as _OrderedDict
import warnings
import six
import warnings as _warnings
import os as _os
import sys
from tempfile import mkdtemp
try:
if six.PY3:
from threading import get_ident as _get_id... |
#!/usr/bin/env python
'''
'''
from abc import abstractmethod
import numpy as np
import pyorb
from ..controller import Tracker
from .scheduler import Scheduler
from ..passes import equidistant_sampling, select_simultaneous_passes
class Tracking(Scheduler):
'''
'''
def __init__(self,
radar,... |
'''
Scanned pages are upside-down PDFs.
Convention: We work convert everything to 8-bit grayscale images.
'''
import glob, os, re, subprocess, tempfile, shutil
from math import pi
import warnings
import numpy as np
import scipy.misc
import imageio
import skimage, skimage.filters, skimage.transform, skimage.morpholog... |
# 2022-01-23 00:20:21.888849
from alembic import op
import sqlalchemy as sa
revision = '6ee0702a3d64'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('game_ranking',
sa.Column('id', sa.Integer(), autoi... |
# Copyright (C) 2010 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... |
## interaction3 / arrays / foldable_constant_spiral.py
import numpy as np
from interaction3.abstract import *
from interaction3 import util
# default parameters
defaults = {}
# membrane properties
defaults['length'] = [35e-6, 35e-6]
defaults['electrode'] = [35e-6, 35e-6]
defaults['nnodes'] = [9, 9]
defaults['thick... |
#Creating a node for doubly linked list
class Node(object):
#Constructor to create a new node
def __init__(self,key,data, next=None, prev=None):
self.next = next # reference to next node in DLL
self.prev = prev # reference to previous node in DLL
self.data = data #data of the node ... |
# -*- coding: utf-8 -*-
# Copyright (c) 2022, Compiler Explorer Authors
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright not... |
#!/usr/bin/python
# *****************************************************************************
#
# 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 A... |
import random;
import numpy as np;
import os;
from itertools import chain;
from learnedevolution.algorithm import Algorithm;
from learnedevolution.targets.mean import *;
from learnedevolution.targets.covariance import *;
from learnedevolution.convergence import CovarianceConvergence;
from learnedevolution.rewards impo... |
class Debts(object):
def __init__(self):
self.debts = []
self.participants = []
def addTransactions(self, transactions):
for transaction in transactions.transactions:
self.addParticipant(transaction.buyer)
for participant in transaction.participants:
... |
from django.core.urlresolvers import reverse_lazy
from django.http import Http404, HttpResponseRedirect
from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404, redirect
from django.views.generic import (ListView,
DetailView,
... |
# -*- coding: UTF-8 -*-
# Copyright (C) 2019, <NAME> <<EMAIL>>
# All rights reserved
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, t... |
import tempfile
from datetime import datetime
import logging
import os
import gzip
import json
from fastapi import BackgroundTasks, FastAPI
from common.clients.google_storage_client import GoogleStorageClient
from common.customized_logging import configure_logging
from inflation.config import settings
from inflation.... |
import csv
import inspect
import re
from io import StringIO
from docutils import nodes
from docutils.statemachine import StringList
from sphinx.domains import Domain
from sphinx.util import import_object
from sphinx.util.docutils import SphinxDirective
def build_function_directive(name, aliases, func):
"""Build ... |
# Copyright @2018
#
# GERCOM - Federal University of Pará - Brazil
#
# 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 require... |
from django.urls import reverse,resolve
from django.test import TestCase
from .views import home, board_topics, new_topic, board_redirect
from .models import Board, Topic, Post
from django.test import Client, TestCase
from django.contrib.auth.models import User
from .forms import NewTopicForm
class HomeTests(TestCase... |
"""
This file contains classes responsible for describing
various permutations.
@author: <NAME>
"""
from logic_simplifier.expr import Variable, Negation, Operator, TrueVal
class Permutation(object):
"An immutable class representing a permutation."
def __init__(self, val):
self._val = val.copy()
... |
#!/usr/bin/python3
from flask import Flask, request, render_template, url_for
import json, os, random
from PIL import Image
TITLE = "VotePhoMe.johanv.xyz - Vote for a Photo" #site title, used in the title bar and the heading within the page
app = Flask(__name__)
app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024 ... |
import json
import re
def processed_specs(product):
return _parse_computer_specs(product)
def _parse_computer_specs(product):
details = _cleaned_dict(product["parsed_details"])
cpu = details.get("Процессор", "")
cpu = cpu.lower()
gpu = details.get("Видеопроцессор", details.get("Видеокарта"))
... |
from PyQt5 import QtWidgets, QtSql, QtCore, QtGui
from .window import Window
from ..database import Database
from .. import logger
class _ImportExport:
def __init__(self, main_window: Window, database_file: str):
"""
Args:
main_window Window: The instance of the main window
""... |
#!/usr/bin/env python
# coding: utf-8
# In[317]:
# Modules import
import csv
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pprint import pprint
from sklearn.model_selection import (
train_test_split,
GridSearchCV,
)
from sklearn.metrics import (
classification_report,
... |
import enum
from enum import auto
import os
import pygame
import random
import animation
import locations
_surfaces = {}
class Surfaces(enum.Enum):
VIM = auto()
ATOM = auto()
EMACS = auto()
INTELLIJ = auto()
NANO = auto()
VSCODE = auto()
RANDOM = auto()
BUG_RED_1 = auto()
BUG_R... |
import os
import sys
import logging
import functools
from collections import OrderedDict
logging.basicConfig()
logger = logging.getLogger(__name__)
def check_prerequisites(func):
@functools.wraps(func)
def wrap(self, *args, **kwargs):
if func.__name__ == 'write':
if not self.results:
... |
from . import deezer_service
from flask import (
session, render_template, redirect, request,
url_for, current_app, jsonify
)
from .view_decorators import login_required, logout_required
from . import models
from .models import DEEZER_APP_ID, DEEZER_REDIRECT_URI
from ..util import (get_random_str, send_file)
im... |
import argparse
import copy
import subprocess
COMMON_CONFIG = {
"--subsample_testset": 1000,
"--max_paraphrases": 50,
"--task": "attack",
"--target_classifier": "transformer",
"--transformer_clf_model_init": "bert-base"
}
DEFENSE_CONFIG = {
"none": {},
"lmag": {
"--defense_strategy... |
import copy
from numpy import array as na, array_equal as na_eq
import unittest
from src import univar_polyops as upo
TEST_CASES_UNARY = {
upo.degree: [
(-1, []),
(-1, [0]),
( 0, [1]),
( 1, [1,1]),
( 2, [0,0,-1])
],
upo.normalize: [
([], []),
([], [0]),
([1], [1,0]),
([0,-1], [0,-1,0,0])
]
}
TE... |
# -*- coding: utf-8 -*-
""" Utilities """
import json as jsonlib
import logging
import os.path
import platform
import re
import socket
import sys
from contextlib import closing
from .exceptions import BadResponseError, ServerConnectionError
try:
from urllib import parse as urlparse
from urllib import request... |
# -*- coding: utf-8 -*-
"""
HikeBooklet
author: georand
source: https://github.com/georand/hikebooklet
date: 2021
"""
import io,zipfile,struct,logging
import requests
import numpy as np
from PIL import Image, ImageDraw, ImageColor
from config import *
logger=logging.getLogger(__name__)
class SessionWithHeaderR... |
# coding: utf-8
# # Display features detected by SIFT, SURF and ORB
# In[11]:
import cv2
import numpy as np
import cv2
# Surf and Sift are under patient but orb is opensource
def Surf_Sift_Orb(img_path, algo=None):
img = cv2.imread(img_path , cv2.IMREAD_GRAYSCALE)
if algo == "SIFT":
sift = cv2.xf... |
import logging
from typing import Optional, List
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import TEMP_CELSIUS, ATTR_TEMPERATURE
from homeassistant.core import HomeAssistant
from homeassistant.components.climate import ClimateEntity
from homeassistant.components.climate.const import... |
import logging
import pew.options as options
def check_platforms():
errors = {}
platforms = []
try:
import console
import ui
platforms.append('ios')
except Exception as e:
# Note that there is a strange issue in packaged apps where a global traceback
# import is... |
# coding: utf-8
# In[ ]:
import argparse
parser = argparse.ArgumentParser("cDCGAN")
parser.add_argument('--dataset_dir', type=str, default='../celeba')
parser.add_argument('--result_dir', type=str, default='./celeba_result')
parser.add_argument('--condition_file', type=str, default='./list_attr_celeba.txt')
pars... |
"""Growing Tree Animation
Boring a boring tree.
"""
from cs1graphics import *
from time import sleep
paper_from = Color((30, 29, 29))
paper_to = Color('white')
paper = Canvas(500, 500, title='School of Hacking, 케이MIT')
paper.setBackgroundColor(paper_from)
from math import cos, sin, degrees, radians
def gradien... |
from builtins import zip
import numpy as np
from rubin_sim.maf.metrics.baseMetric import BaseMetric
from scipy.optimize import curve_fit
from rubin_sim.maf.utils import m52snr
import warnings
__all__ = ['periodicStar', 'PeriodicStarMetric']
class periodicStar(object):
def __init__(self, filternames):
sel... |
# -*- coding: utf-8 -*-
from icemac.addressbook.testing import pyTestAddressBookFixture, site
from icemac.addressbook.testing import pyTestEmptyZodbFixture, DateTimeClass
from icemac.addressbook.testing import pyTestStackDemoStorage
import gocept.country.db
import icemac.addressbook
import icemac.addressbook.browser.in... |
#!/usr/bin/env python
import sys
from termcolor import colored
import colorama
import re
from collections import Counter
import warnings
from typing import Dict, Tuple, List, Iterable, Mapping
FormulaType = str
colorama.init()
ATOM_REGEX = r"([A-Z][a-z]*)(\d*)"
OPENERS = r"({["
CLOSERS = r")}]"
def is_balanced(... |
from enum import Enum
import numpy as np
from actions import Direction
class Car():
def __init__(self, car):
self.x = int(car['x'])
self.y = int(car['y'])
self.health = int(car['health'])
self.resources = int(car['resources'])
self.collided = bool(car['collided'])
s... |
import argparse
from components import *
import time
import sys
def setup_args():
parser = argparse.ArgumentParser()
parser.add_argument('-l', action='store', dest='llvm_bc_out',
help='Destination directory where all the generated bitcode files should be stored.')
parser.add_argu... |
# coding=utf-8
from copy import deepcopy
from resources.internal.router import route, path_for, resolve
from resources.internal import player
from resources import kinoman_api
@route("/")
def root():
menu_items = []
for label, query in kinoman_api.list_categories_video_menu():
menu_items.append(
... |
from dataclasses import dataclass
from typing import Callable, Dict, List, Set
from .parser import ParseError
class State:
def __init__(self, name: str):
self.epsilon: List[State] = [] # epsilon-closure
self.transitions: Dict[str, State] = {}
self.name: str = name
self.is_end: boo... |
"""
This module contains unit tests for the schedules used by the CEA. The schedule code is tested against data in the
file `test_schedules.config` that can be created by running this file. Note, however, that this will overwrite the
test data - you should only do this if you are sure that the new data is correct.
"""
... |
from gpt_gen import *
from Config import Config
import sys
def _is_chinese_char(char):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
# https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
#
# ... |
"""
Older commands, now deprecated.
"""
@cli.command()
@click.argument('login')
def foo(login):
from playhouse.migrate import *
from google.models import db
init_user_database(login)
migrator = SqliteMigrator(db)
status_field = IntegerField(null=True)
with db.transaction():
migrate(
... |
from rpi_ws281x import Color, PixelStrip, ws
import time
import argparse
import tkinter as tk
from ttkthemes import ThemedTk
from utils.moodlights import Moodlights
from utils.gui import GUI
# LED strip configuration:
LED_FREQ_HZ = 800000 # LED signal frequency in hertz (usually 800khz)
LED_DMA = 10 # DM... |
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
import os, re
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Input, Embedding, GRU, Dense, Dot
from keras.models import Model
from keras.layers.core import *
from keras i... |
from datetime import datetime, timezone
import configparser
import praw
import praw.config
import praw.exceptions
import praw.models.reddit.more
import prawcore.exceptions
import requests
from praw.models import MoreComments
from pathlib import Path
import os
__author__ = '<NAME>'
__version__ = '1.0.'
__email__ = '<... |
__author__ = 'sulantha'
import pandas as pd
import numpy
from matplotlib import pyplot as plt
from sklearn.metrics import roc_curve, auc, confusion_matrix
from Python.RUSRandomForest import RUSRandomForestClassifier
from Python.RUSRandomForest import Config
from multiprocessing import Pool
def writeSensAndSpec(fpr, t... |
# shoveltest.py
# Copyright (c)2017 <NAME> <<EMAIL>>
#
from __future__ import print_function
import arcpy
import os, sys
import math
# You can run this script from the command line, if you want.
def usage():
print("""usage: shoveltest.py baselinefc templatefc outputpoly outputpt [width height]
Generates polygon ... |
import pytest
import mock
from hcloud.servers.client import BoundServer
from hcloud.servers.domain import Server
from hcloud.floating_ips.client import BoundFloatingIP
from hcloud.floating_ips.domain import FloatingIP
class TestBoundFloatingIPs(object):
@pytest.fixture()
def bound_floating_ip(self, hetzner_... |
from math import radians, cos, sin, asin, sqrt, pi
import numpy as np
from scipy.spatial.distance import euclidean as euclidean_dist
from sklearn.metrics import pairwise_distances
from scipy.spatial.distance import cdist
from scipy.sparse import coo_matrix
# todo: calculate distance matrix
#def distance_matrix():
# p... |
# Importing stock libraries
from pathlib import Path
from typing import Dict
import warnings
import torch
from torch.utils.data import Dataset
from kogito.core.knowledge import GEN_TOKEN, EOS_TOKEN
from kogito.core.utils import encode_line, trim_batch, SortishSampler
class KnowledgeDataset(Dataset):
def __init__... |
# class student:
# def __init__(self, n, a):
# self.full_name = n
# self.age = a
# def get_age(self):
# return self.age
import nclib
from bitstring import BitArray
import math
import binascii
import struct
class Writer:
def __init__(self, ip, port):
self.ip = ip
se... |
# -*- coding: utf-8 -*-
"""
Author: <NAME>
Last Modified: 20/10/19
Version: 2.0
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import torchvision
import multiprocessing
import matplotlib.pyplot as pl... |
"""
Testing hook for verifying correctness of initial sync.
"""
from __future__ import absolute_import
import os.path
import random
import bson
import pymongo
import pymongo.errors
from . import cleanup
from . import jsfile
from ..fixtures import replicaset
from ... import errors
from ... import utils
class Backg... |
#!/usr/bin/python
#
# Copyright 2013 Google 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 b... |
from collections import defaultdict
import glob
import os
from matplotlib import pyplot as plt
import matplotlib
import numpy as np
import pandas as pd
from analysis.utils import ORDER, order_columns_of_df, savefig
import seaborn as sns
sns.set_theme()
from scipy.stats import pearsonr, linregress
save_dir = '../analysi... |
import sys
import pytest
import logging
import logging.config
from uuid import uuid4
from io import StringIO
from unittest.mock import patch, Mock, call
import deprecation
from nicfit.logger import getLogger, FileConfig, DictConfig
from nicfit import logger
from nicfit import ArgumentParser
def test_log():
# No h... |
"""
Creates a EfficientNetV1 Model as defined in: EfficientNetV1: Self-training with Noisy Student improves ImageNet classification.
arXiv preprint arXiv:1911.04252.
"""
import math
import copy
from keras_cv_attention_models.efficientnet.efficientnet_v2 import EfficientNetV2
BLOCK_CONFIGS = {
"base": { # width 1.... |
# see iotbx/pdb/common_residue_names.h; additionally here only: U I
from __future__ import absolute_import, division, print_function
ad_hoc_single_metal_residue_element_types = """\
ZN CA MG NA MN K FE CU CD HG NI CO SR CS PT BA TL PB SM AU RB YB LI
MO LU CR OS GD TB LA AG HO GA CE W RU RE PR IR EU AL V PD U
SB SE
TE
... |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2018 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB ... |
DEFAULT_ROWS_COUNT = 6
DEFAULT_COLUMNS_COUNT = 7
DEFAULT_WIN_CONDITION_COUNT = 4
def create_board(rows_count=DEFAULT_ROWS_COUNT, columns_count=DEFAULT_COLUMNS_COUNT):
return [[0] * columns_count for _ in range(rows_count)]
def get_player_choice_func(is_test=False):
def get_player_choice(player):
pri... |
import pickle
import pprint
import discord
import asyncio
from discord.ext import commands
from lib import obot
pp = pprint.PrettyPrinter(indent=2)
bot = commands.Bot(command_prefix='k!relay ')
RELAYFILE = 'important/relay.pickle'
CREATE_MESSAGE = ("**Created relay data for the server `{ctx.guild.name}`**\n"
... |
import arcade
from settings import (
FONTSIZE,
FPS,
LINETHICKNESS,
PADDLEHEIGHT,
PADDLEOFFSET,
WHITE,
WINDOWHEIGHT,
WINDOWTITLE,
WINDOWWIDTH,
)
class Vector2:
def __init__(self, x: float, y: float):
self.x = x
self.y = y
def __getitem__(self, key):
... |
from abc import ABC, abstractmethod
import numpy as np
from sklearn.cluster import KMeans
from pymoo.factory import get_performance_indicator
from pymoo.algorithms.nsga2 import calc_crowding_distance
'''
Selection methods for new batch of samples to evaluate on real problem
'''
class Selection(ABC):
'''
Base ... |
"""imports"""
import copy
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash_apps.shared_styles import *
from dash_apps.apps.myapp import app
# https://stackoverflow.com/questions/62732631/how-to-collapsed-sidebar-in-dash-plotly-dash-bootstrap-compo... |
import sys
from asldro.containers.image import NiftiImageContainer
import numpy as np
import json
import os
from asldro.filters.json_loader import JsonLoaderFilter
from asldro.filters.nifti_loader import NiftiLoaderFilter
from asldro.filters.transform_resample_image_filter import TransformResampleImageFilter
import pyt... |
import json
import os
class Modifier:
"""An Object containing all relevant information about one skin tone Modifier"""
def __init__(self, name: str, colors: dict, extension: str, tolerance: int = 16, *args, **kwargs):
"""
Creates a new skin tone modifier
:param name: The name of this ... |
# -*- coding: utf-8 -*-
"""The profiler classes."""
from __future__ import unicode_literals
import abc
import os
import time
try:
from guppy import hpy
except ImportError:
hpy = None
class CPUTimeMeasurements(object):
"""The CPU time measurements.
Attributes:
number_of_samples (int): number of samples... |
#!/usr/bin/env python
from __future__ import division
try:
import matplotlib
MATPLOTLIB_LOADED = True
matplotlib.use('Agg')
import matplotlib.pyplot as plt
except ImportError:
MATPLOTLIB_LOADED = False
import sys, time
import numpy as np
from numpy import polyfit
from megaman.geometry.adjacency i... |
import pytest
import os
from src.model.user import User
from src.model.course import Course
from src.dao.dao import DAO
from src.dao.database import DataBaseHandler
from src.api.app import InitFlaskApp
from utils.configuration_utils import ConfigurationsUtils
@pytest.fixture(scope='session', name='init_sqlite3_db')
d... |
#------------------------------------------------------------------------------------------#
# This file is part of Pyccel which is released under MIT License. See the LICENSE file or #
# go to https://github.com/pyccel/pyccel/blob/master/LICENSE for full license details. #
#----------------------------------------... |
import math
import numpy as np
import time
from ui_GUI import *
from Tools import ToolsManager
from HUD import HUDManager
from PySide2.QtCore import Signal
class CanvasMover():
def __init__(self , whiteboard):
self.startPoint = (0,0)
self.isUsed = False
self.whiteboard = white... |
#
# meter.py
#
# Author(s):
# <NAME> <<EMAIL>>
#
# Copyright (c) 2020-2021 ETH Zurich.
#
# 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 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
"""
-----------------------------------------------------------------------------------
# Author: <NAME>
# DoC: 2021.01.5
# email: <EMAIL>
-----------------------------------------------------------------------------------
# Description: Training script for Semantic Head
"""
import argparse
import torch
import torch.op... |
import os
import numpy as np
import torch
import torch.utils.data
import pickle as pkl
from torch import nn, optim
from tqdm import tqdm
from networks import HSICClassifier, MLP2Layer
from EEG.datasets import create_kfoldcv_loaders
from EEG.train_utils import get_device, calc_save_perf_metrics, run_params
# Experiment... |
import pathlib
import shlex
from textwrap import dedent
import click
import pytest
from click.testing import CliRunner
from linesieve.cli import cli
from linesieve.cli import split_field_slices
ROOT = pathlib.Path(__file__).parent
def load_data(root):
for path in sorted(root.glob('data/*.in')):
with p... |
"""
Dimcli general purpose utilities for working with data.
NOTE: these functions are attached to the top level ``dimcli.utils`` module. So you can import them as follows:
>>> from dimcli.utils import *
"""
import click
import sys
import subprocess
import os
import re
import webbrowser
from itertools import islic... |
# coding=utf-8
__author__ = '<NAME>'
import idaapi
from idc import *
from idautils import *
from lib.Register import get_reg_class, get_reg_by_size
### ARCHITECTURE AND REGISTER FUNCTIONALITY ###
# IDA PRO execution context layouts 64
ctx_layout_64 = {'st':['ST0', 'ST1', 'ST2', 'ST3', 'ST4', 'ST5', 'ST6', 'ST7'],
... |
import json
import os
import glob
from collections import namedtuple
import zipfile
from torchvision.datasets.utils import extract_archive, verify_str_arg, iterable_to_str
from .vision import VisionDataset, ConcatVisionDataset, StackVisionDataset
from .cityscapes import CityscapesInfo, Cityscapes__, Cityscapes_, Citys... |
# This file is part of the Blockchain Data Trading Simulator
# https://gitlab.com/MatthiasLohr/bdtsim
#
# Copyright 2020 <NAME> <<EMAIL>>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... |
#!/usr/bin/env python
#
#
#
import argparse
import logging
import numpy as np
from scipy import sparse
# A B C D E F A B C D E F
# A 0 1 0 0 0 0 A 0 1 1 1 1 1
# B 0 0 1 1 0 0 B 0 0 1 1 1 1
# C 0 0 0 0 1 0 --> C 0 0 0 0 1 1
# D 0 0 0 0 1 0 ... |
import c3d
import unittest
import test.verify as verify
from test.base import Base
from test.zipload import Zipload
class FormatTest():
''' Test to evaluate INTEL, DEC and SGI/MIPS processor formats using a set of identical files.
INTEL: IEEE standard floating points and little endian.
DEC: Non... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# Author : XueWeiHan
# E-mail : <EMAIL>
# Date : 16/3/17 下午5:35
# Desc : 文章模块
import markdown2
from model.models import Article, User
from app import BaseHandler, AdminHandler
from utilities import tool, escape
class ShowArticlesHandler(BaseHand... |
import pickle
import numpy as np
#from .config import flags as config
from hls_data_types import *
#reduce_x_features = config.w_network == 'textcnn'
reduce_x_features = False
seq_len = 25
def load_data(fname, num_load=None):
print('Loading from ', fname)
with open(fname, 'rb') as f:
x = pickle.load... |
import numpy as np
from scipy import integrate
from reactorPhysics import reactorSystem
from reactorPhysics import qFuel
from reactorPhysics import rho
#import matplotlib.pyplot as pl
import time
class LegoReactor(object):
"""
Provides methods to interact with the point kenetics model.
The reactor system ... |
#!/usr/bin/env python3
# Copyright 2021, Collabora, Ltd.
# SPDX-License-Identifier: BSL-1.0
import numpy as np
import pandas as pd
from scipy import interpolate, signal
RESAMPLE_RESOLUTION_MICROSECONDS = 10
def _rescale(x):
half_range = (x.max() - x.min())/2
middle = x.min() + half_range
return (x - mid... |
from matplotlib import pyplot as plt
from matplotlib import animation
from matplotlib import cm as cm
import math
import random
import cmath
def create_circle(r):
if r == None:
r = 0.05
circle = plt.Circle((0,0), r)
return circle
def update_radius(i, circle):
circle.radius = i*0.5
return c... |
import os, sys
import logging
import argparse
import apyfal
import shutil
import json
import csv
import re
SCRIPT_PATH = os.path.dirname(os.path.abspath(__file__))
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
LOG_FMT_DBG = "%(levelname)-8s: %(message)s"
TMPDIR = "/dev/shm/sha3_benchmark"
CSV_... |
""" Code for application of feature aware normalization to
digital pathology images
Depending on your preference, there are two ways to build the network:
``` python
```
and
``` python
```
"""
import os, pickle
from collections import OrderedDict
import numpy as np
import theano
import theano.tensor as T
import ... |
# Copyright 2021 IBM 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 agreed t... |
import argparse
import csv
import os
import numpy as np
import scipy as sc
import loompy
def generate_col_attr(qc_paths):
"""Converts the QC of Smart Seq2 gene file pipeline outputs to loom file
Args:
qc_path (str): path to the QCs csv
"""
# read the QC values
qc_path = [p for p in qc_paths... |
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