content stringlengths 5 1.05M |
|---|
""" Example showing how to compute a family of basis polynomials """
# -------------------------------------------------------------------------------------------------------------------- #
# Importing packages
# --------------------------------------------------------------------------------------------------------... |
"""seed: shared evaluation environment for sdn
"""
from setuptools import setup
setup(name='seed',
version='0.1.2',
description='shared evaluation environment for sdn',
url='https://git.scc.kit.edu/pdf-tm-ws1617/seed',
author='Addis Dittebrandt, Michael Koenig, Felix Neumeister',
author_... |
from django import forms
from django.contrib import admin
from django.contrib.contenttypes import generic
from bible import Verse, RangeError # python-bible
from models import Scripture
class ScriptureForm(forms.ModelForm):
class Meta:
model = Scripture
def clean(self):
# Checking to see if... |
#!/usr/bin/python3
import logging
import sys
logging.basicConfig(stream=sys.stderr)
sys.path.insert(0, '/app')
from app import app as application
application.secret_key = 'P4ssw0rd'
|
"""
Django settings for myshop project.
Generated by 'django-admin startproject' using Django 3.0.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
imp... |
from abc import ABC
import numpy as np
import rl.common.Constant as CNSTNT
class BaseControl(ABC):
def __init__(self, env, discount_factor):
self.action_space = env.action_space.n
self.state_space = env.observation_space.n
self.discount_factor = discount_factor
self.PI = np.random.... |
import youtube_dl
def download_video(url: str, output: str):
ydl_opts = {
'outtmpl': output
}
with youtube_dl.YoutubeDL(ydl_opts) as ydl:
ydl.download([url])
def get_info(url: str):
with youtube_dl.YoutubeDL({}) as ydl:
return ydl.extract_info(url, download=False, force_gener... |
# flake8: noqa
from .evaluation import distances
|
#!/usr/bin/python2.7
#!-*- coding: utf8 -*-
import numpy as np
import matplotlib.pyplot as plt
# Carregando arrays a partir de arquivos
X = np.load('data/X.npy')
Y = np.load('data/Y.npy')
U = np.load('data/U.npy')
print "Quantos snapshots voce deseja?"
N = input()
# Definindo passo
h = U.shape[2] / N
counter = 0
... |
def escreva(texto):
tam_string = len(texto) + 2
print('~' * tam_string)
print(f' {texto:>2}')
print('~' * tam_string)
escreva('Olá, Mundo!')
escreva('Palhaçada Descomunal')
|
"""Fauxmo plugin for simple MQTT requests.
The on and off methods publish a value to the given MQTT queue. The get_status
method subscribes to an MQTT queue to asynchronously receive the status
published from the device. If the device doesn’t publish a status via MQTT then
omit the state_cmd and the plugin will return... |
#
# DX Package
#
# Valuation -- Plotting Options Statistics
#
# plot_option_stats.py
#
# Python for Finance, 2nd ed.
# (c) Dr. Yves J. Hilpisch
#
import matplotlib.pyplot as plt
def plot_option_stats(s_list, p_list, d_list, v_list):
''' Plots option prices, Deltas and Vegas for a set of
differe... |
from mrcrowbar import models as mrc
# source: http://dev.gameres.com/Program/Other/LZSS.C
class LZSSCompressor( mrc.Transform ):
N = 4096
F = 18
THRESHOLD = 2
def import_data( self, buffer, parent=None ):
r = self.N - self.F
flags = 0
text_buf = bytearray( b' '*(self.N+sel... |
import json, subprocess
from .... pyaz_utils import get_cli_name, get_params
def disable(pool_id, account_name=None, account_key=None, account_endpoint=None):
params = get_params(locals())
command = "az batch pool autoscale disable " + params
print(command)
output = subprocess.run(command, shell=Tr... |
import inspect
#inspired by:
#https://stackoverflow.com/questions/5432964/is-it-somehow-possible-to-live-modify-python-code-like-in-lisp-or-erlang#comment6159803_5436556
def patchClass(old, new):
print 'patching class', old, new
for key in old.__dict__.keys():
if key not in new.__dict__:
p... |
import os
import re
import sys
import pdb
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow import keras
from tensorflow import debugging
from tensorflow.keras import backend as K
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.layers import Dense, ... |
import json
import logging
from typing import Any, Generator, List, Optional
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
from backend.common.consts.webcast_status import WebcastStatus
from backend.common.consts.webcast_type import WebcastType
from backend.common.memcache import Memc... |
#!/usr/bin/env python3
import csv
from flask import Flask
import yaml
import logging
from prettytable import from_csv
import json
# Instantiate a logger because we're taking user input and it can always go bad.
logger = logging.getLogger(__name__)
application = Flask(__name__)
@application.route('/list')
def list_it... |
from datetime import datetime as dt
from collections import namedtuple
Jam = namedtuple('Jam', 'number, theme, start_datetime, timediff')
def __get_jams(jams, api):
return [Jam(**k) for k in api[jams]]
def ongoing(api):
r"""Is there an ongoing jam?
:return: bool
"""
if len(api['current_jams']) ... |
"""
Asynchronous Advantage Actor Critic (A3C)
Most of the work is done in `a3c_worker.py`.
Based on:
- Pseudo code from Asynchronous Methods for Deep Reinforcement Learning
- Tensorflow code from https://github.com/yao62995/A3C/blob/master/A3C_atari.py and
https://github.com/openai/universe-starter-agent/tree/f16f37d... |
#!/usr/bin/env python3
"""
YATIB - Yet Another Twitter IRC Bot
Dependencies: requests python-irc python-twitter
apt-get install python3-requests python3-irc python3-twitter
Usage:
./yatib.py twitterbot_conf.ini
Configuration file:
[general]
robust=no # whether to not die on unknown error
[loggi... |
# Generated by Django 3.1 on 2020-09-11 08:22
from django.db import migrations, models
import wagtail.core.fields
import wagtail_color_panel.fields
class Migration(migrations.Migration):
dependencies = [
('home', '0014_homepage_title_icon'),
]
operations = [
migrations.AddField(
... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
def image(img):
#GaussianBlur
img = cv2.GaussianBlur(img, (5,5), 0 )
#convert BGR to HSV
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
#defined the range of a color
lower_color = np.array([0,0,30])
upper_color = np.array([180,43,19... |
from django import forms
from website.models import contact,NEWSLETTER
from captcha.fields import CaptchaField
class ContactForm(forms.ModelForm):
captcha = CaptchaField()
class Meta:
model = contact
fields = '__all__'
class NewsletterForm(forms.ModelForm):
class Meta:
model = NEWS... |
from typing import List, Tuple
from sc2 import BotAI
from sc2.ids.unit_typeid import UnitTypeId
from .data import *
class BOStep():
def __init__(self, condition, unit: UnitTypeId):
self.condition = condition
self.unit_id: UnitTypeId = unit
def try_condition(self) -> bool:
return self.c... |
# -*- coding: utf-8 -*-
from recommonmark.parser import CommonMarkParser
templates_path = ['_templates']
source_suffix = '.md'
source_parsers = { '.md': CommonMarkParser }
master_doc = 'index'
project = u'sphinxproj'
copyright = u'2015, rtfd'
author = u'rtfd'
version = '0.1'
release = '0.1'
highlight_language = 'pyt... |
# Copyright (c) 2019 Matthew Monteleone
#
# 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 i... |
import RPi.GPIO as GPIO
import time
class Ultrasonic:
def __init__(self):
self.value = None
self.trig_pin = 26
self.echo_pin = 11
self.setup()
def setup(self):
GPIO.setmode(GPIO.BOARD)
def get_value(self):
return self.value
def upda... |
import argparse
import os
from tqdm import tqdm
import torch
import pytorch_lightning as pl
from vocab import Vocab
from utils import load_data, load_sent, load_model, makedir, write
from dataset import get_eval_dataloader
def main(args):
pl.seed_everything(args.seed)
model = load_model(args.checkpoint).to(... |
class Email:
def __init__(self, sender, receiver, content, is_send=False):
self.sender = sender
self.receiver = receiver
self.content = content
self.is_send = is_send
def send(self):
self.is_send = True
def get_info(self):
return f"{self.sender} says to {sel... |
# -*- coding: utf-8 -*-
"""
This module serves the class for wrapping
any known client specific exceptions.
"""
class FullContactException(Exception):
pass
|
"""框架运行示例文件"""
import logging
import flask
import leaf
import config
init = leaf.Init()
init.kernel(config.basic)
init.logging(config.logging)
init.server(config.devlopment)
init.database(config.database)
# 以下模块请根据需要启用/禁用初始化
init.weixin(config.weixin) # 微信公众平台支持模块
init.wxpay(config.wxpay) # 微信支付支持模块
init.plugins(... |
# Experiment for Lasso CV
# License: BSD (3-clause)
import numpy as np
import celer
from libsvmdata import fetch_libsvm
from sklearn.datasets import make_regression
from celer import LassoCV
from sklearn.model_selection import KFold
from sparse_ho import ImplicitForward
from sparse_ho import grad_search, hyperopt_wr... |
#!/usr/bin/python
import sys
sys.path.insert(0, "/usr/local/lib/python2.7/site-packages/")
import argparse
import cPickle as pickle
import math
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import os.path
sys.path.append('../lib')
import ProjectMgr
parser = argparse.Argu... |
from archstrap.mode import make_mode
from archstrap.specification import Specification
def run(specification: Specification, mode_name: str, install_root: str):
mode = make_mode(mode_name)
specification.apply(install_root, mode)
|
import unittest
import sys
sys.path.insert(1, '..')
import easy_gui
class GUI(easy_gui.EasyGUI):
def __init__(self):
sec = self.add_section('test_section', equal_button_width=True)
btn1 = sec.add_widget(type='button', text='Button1', command_func=lambda e: print('Button1 working!'))
btn1.... |
import pybullet as sim
import time
pc = sim.connect(sim.GUI)
sim.setGravity(0, 0, -9.8)
path = "path to your URDF file"
armID = sim.loadURDF(path, basePosition=[0, 0, 0], useFixedBase=True)
while pc != 0:
sim.stepSimulation()
time.sleep(0.01)
|
from _repo import join, read_local_version, REPO, spec, system_call
ENDL = '\n'
IS_TERMUX = (
spec.LINUX and
system_call('uname -o').strip() == 'Android' and
bool(system_call('command -v termux-open-url', shell=True))
)
VERSION = None
def fres(filename, mode='r'):
return open(join(PROJECT.RES, filename), mode, en... |
"""
Author: Peratham Wiriyathammabhum
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
eps = np.finfo(float).eps
def logistic_regression(Xin, yin, opts, thres=10**-5, max_epochs=200):
"""
Perform logistic regression on an input row matrix X and a target vector y.
See: http://www.ciml.... |
from django.db import models
class Movie(models.Model):
title = models.CharField(max_length=256)
length = models.PositiveIntegerField()
release_year = models.PositiveIntegerField()
def __str__(self):
return f"{self.title} ({self.release_year})"
class Customer(models.Model):
first_name = m... |
# -*- coding: utf-8 -*-
"""chat table and chat model."""
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.orm import relationship
from greyd.db.base import Base
from greyd.models.user_to_lobby import UserToLobby
# pylint: disable=too-few-public-methods
class Chat(Base):
"""Chat objec... |
import pandas as pd
import logging
import os
import django
from django.core.management.base import BaseCommand
class Command(BaseCommand):
help = 'Takes in the authoritative_agencies_list.csv and the broker_agency_list.csv to make' \
'a modified_authoritative_agencies_list.csv'
logger = logging.g... |
# commands.py
import discord
# local imports
# from Database import database as db
from src.Botdata import Botdata
from src.Commands import Command
from src.Database import DB
from src.ranks import Rank
class Commands:
def get_command(self, name):
if name in self.command_registry:
return se... |
# -*- coding: utf-8 -*-
import sys
from pathlib import Path
if str(Path().resolve().parent.parent) not in sys.path:
sys.path.insert(1, str(Path().resolve().parent.parent))
import numpy as np
from scipy.signal import find_peaks
from constants import DEFAULT_MAX_GAIN, DEFAULT_TREBLE_F_LOWER, DEFAULT_TREBLE_F_UPPER, ... |
__author__ = "the.triops404@gmail.com"
__copyright__ = "Copyright (C) 2017 Snowwolf"
__license__ = "Apache"
|
# -*- coding: utf-8 -*-
import threading
import time
def log(text):
print("{0}:{1}".format(text, time.time()))
def hello():
log("hello")
def main():
# 5秒後に実行
t = threading.Timer(5, hello)
t.start()
log("main ")
time.sleep(7)
log("main ")
if __name__ == '__main__':
main() |
"""Copyright 2012, System Insights, 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 t... |
'''
Created on Jan 13, 2017
@author: muth
'''
import time
import spidev
import RPi.GPIO as GPIO
import PIL.ImageOps
from PIL import Image
from PIL import ImageEnhance
from picamera import PiCamera
from io import BytesIO
from smemlcd import SMemLCD
from Adafruit_Thermal import *
#Screen resolution
... |
from klgists.common.tools import *
from klgists.common.tools.datatype_tools import *
from klgists.common.tools.unit_tools import *
from klgists.common.tools.sys_tools import *
from klgists.common.tools.timing_tools import *
class GistTools(
CommonTools, StringTools, NumericTools, ConsoleTools, FilesysTools, IoTools,... |
import json, datetime
item = input('Item Name: ')
with open('data.json', 'r') as f:
data = json.load(f)[item]
highest = [0,0]
for num,i in enumerate(data):
if num == 24:
print('\nHighest:')
print(datetime.datetime.fromtimestamp(highest[0]).strftime("%H:%M"), highest[1])
... |
"""
Copyright 2013 Steven Diamond
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software... |
MASSES = [57,71,87,97,99,101,103,113,114,115,128,129,131,137,147,156,163,186]
def Expand(Peptides):
expanded = []
for peptide in Peptides:
for mass in MASSES:
expanded.append(peptide + [mass])
return expanded
def Cyclospectrum(Peptide):
mass = sum(Peptide)
spectrum = [0, mass]
... |
import numpy as np
import pandas as pd
from scipy import sparse
from scipy.sparse import linalg
from .sparse_matrix_builder import build_from_conceptnet_table
def build_ppmi(conceptnet_filename, ndim=300):
sparse_csr, index = build_from_conceptnet_table(conceptnet_filename)
ppmi = counts_to_ppmi(sparse_csr)
... |
import os
import logging
from .base import BaseReport
import numpy as np
import h5py
from scipy.stats import threshold
from scipy.misc import imsave
class FileReport(BaseReport):
logger = logging.getLogger("ddvt.rep.file")
def __init__(self, file, temp_dir):
self.file = file
# all files are valid until p... |
# Ex. 012
preco = float(input("Digite o preço do produto: R$"))
print(f"O produto, com 5% de desconto, custa R${preco-(preco*0.05):.2f}")
|
#!/usr/local/bin/python
# encoding: utf-8
"""
work with the Flickr API to upload images, sort images, generate MD image reference links etc.
"""
import sys
import os
import re
import time
from os.path import expanduser
import requests
import yaml
import webbrowser
from requests_oauthlib import OAuth1
from fundamental... |
import asyncio
from typing import Optional
from discord import FFmpegPCMAudio
from discord.ext.commands import Context
from dropbox.dropbox_client import Dropbox
from amadeus.library.dropbox_handler import retrieve_temporary_file_link
class MusicPlayer:
_dropbox_client: Dropbox
_music_location: str
# TOD... |
"""
Django settings for wallet project.
Generated by 'django-admin startproject' using Django 3.2.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathlib ... |
#! /usr/bin/env python3
from colorama import Fore, Style
import sys
import subprocess as sub
from subprocess import Popen, PIPE
import os
import time
import os.path
import argparse
# Globals
currentDir = os.getcwd()
binDir = currentDir + "/bin/"
info = (Fore.BLUE + "[*] ")
recc = (Fore.YELLOW + "[*] ")
good = (For... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')
data = pd.read_csv('255/clustering.csv')
data.head()
data = data[['ApplicantIncome', 'LoanAmount']]
data = data.loc[:, ['ApplicantIncome', 'LoanAmount']]
data.head(2)
X = da... |
#!/usr/bin/env python
from app.models import *
from django.contrib.auth.models import Permission, Group, ContentType
from django.core.management.base import BaseCommand
class Command(BaseCommand):
args = ''
help = 'Populate Database with the seed at /app/management/commands/populate_db.py'
def _permission... |
import threading
from typing import List, Optional
from time import sleep, monotonic
from tokenize import Number
from jacdac.transport import Transport
from jacdac.util import buf2hex, hex2buf, now
from gpiod import Chip, Line, LineBulk, LINE_REQ_EV_RISING_EDGE, LINE_REQ_FLAG_ACTIVE_LOW, LINE_REQ_DIR_OUT # type: ignore... |
# Copyright 2015 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 by applicable law or a... |
import mock
OAuth20Authentication = mock.Mock()
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# Meta-info
Author: Nelson Brochado
Created: 01/07/2015
Updated: 06/04/2018
# Description
Contains the abstract class BinaryHeap.
# References
- Slides by prof. A. Carzaniga
- Chapter 13 of Introduction to Algorithms (3rd ed.)
- http://www.math.clemson.edu/~war... |
import os
import random
root='/home/tdteach/data/yellowset/'
jfs = os.listdir(root)
rate = 0.01
split_number = 10000
import pickle
def read_from_bin(fname):
print('read from '+fname)
with open(fname,'rb') as f:
data = pickle.load(f)
return data
def write_to_bin(data,fname,k=0):
st = 0
sp = split_numb... |
from api.models import Revenue
from rest_framework import serializers
class RevenueSerializer(serializers.Serializer):
seller_id = serializers.UUIDField()
total_received = serializers.IntegerField()
|
import numpy
from pylab import *
from scipy.interpolate import *
L,W,grid,e,ee,f,ef,s=numpy.loadtxt("PEC_combined_results_temp.txt",unpack=True,skiprows=1)
f=-f*31.6e-15
tgrid=0.4
lens=numpy.unique(L)
for i in range(0,len(lens)):
gpts = numpy.where((L == lens[i]) & (grid == tgrid))
x=W[gpts]
y=f[gpts]
... |
"""
Our representation of OpenFlow 1.3 forwarding rules in a match+action pipeline.
We refer to an OpenFlow Flow as a Rule.
"""
# Copyright 2019 Richard Sanger, Wand Network Research Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lic... |
import h5py
import random
import tensorflow as tf
from tensorflow.keras.utils import Sequence
'''
Data generator for PieAPP and TID 2008, 2013 datasets, we use horizontal and vertical flips
and 90, 180, 270 rotations of the images for data augmentation
'''
H5_TRAINING_DIR = './prepare_dataset/data_train.h5'
H5_VALID... |
import glob
import os
PATH="/home/ma/masterthesis/datasets/YCB_Video_Dataset/"
TEST=["0048","0049","0050","0051","0052","0053","0054","0055","0056","0057","0058","0059"]
TOPLEVEL_FOLDER = ["test", "train", "train_seg"]
folders=glob.glob(PATH+"data/*")
train_folder_count = int((len(folders) - len(TEST))/2)
non = 0
... |
#!/usr/bin/env python3
#
# ===============LICENSE_START=======================================================
# Acumos
# ===================================================================================
# Copyright (C) 2018 AT&T Intellectual Property. All rights reserved.
# ==========================================... |
# https://leetcode.com/problems/construct-binary-tree-from-string/
from typing import List
import re
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def str2tree(self, s: str) -> TreeNode:
... |
from app.validators.placeholders.placeholder_validator import PlaceholderValidator
def test_invalid_repeating_section_title_placeholders():
placeholder_container = {
"text": "{person}",
"placeholders": [
{
"placeholder": "person_name",
"transforms": [
... |
from __future__ import absolute_import, division, print_function, unicode_literals
import datetime
import math
import sys
import time
ITERATIONS = 10
MICROSECONDS_PER_SECOND = 1000000.
PRESKIP = 0
USAGE = 'Usage: TestSleepAccuracy [iterations] [waitTimeInFloatingPointSeconds]'
WAIT_TIME = 0.005
# Copied from http://... |
# Gaussian process binary classification in 1d
# Code is based on
#https://github.com/aloctavodia/BAP/blob/master/code/Chp7/07_Gaussian%20process.ipynb
import pymc3 as pm
import numpy as np
import pandas as pd
from scipy import stats
from scipy.special import expit as logistic
import pyprobml_utils as pml
import mat... |
# -------------------------------------------------------------------------------------------------
# Database Module
# -------------------------------------------------------------------------------------------------
# Author: Maxime Sirois
# ----------------------------------------------------------------------------... |
from __future__ import print_function
import os
import argparse
from tinydb import TinyDB
from datetime import datetime
import json_tricks.np as jt
from song_classes import Song, Slice, beatTrack, Features
from src.self_similarity import segmentation, slicer
from numpy import vstack
from scipy.misc import imresize
... |
"""
Modules for queries and user responses.
:TODO: OrdinalQuery classes will be implemented so that the library will include ordinal data, which was used for reward learning in:
K. Li, M. Tucker, E. Biyik, E. Novoseller, J. W. Burdick, Y. Sui, D. Sadigh, Y. Yue, A. D. Ames;
"ROIAL: Region of Interest Active Le... |
from theseus.segmentation.datasets import DATASET_REGISTRY, DATALOADER_REGISTRY
from .cutmix_loader import CutmixLoader
DATALOADER_REGISTRY.register(CutmixLoader) |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import with_statement
import anyjson
import os
import sys
import time
from datetime import datetime, timedelta
from kombu.transport.base import Message
from kombu.utils.encoding import from_utf8, default_encode
from mock import Mock, patc... |
import json
import os
from flask import Blueprint
from flask import current_app
from flask import redirect
from flask import render_template
from flask import url_for
import jinja2
from flask_login import login_required
from shopyoapi.enhance import get_setting
from shopyoapi.enhance import set_setting
from shopyoap... |
#!/usr/bin/env python
# Copyright (C) 2007-2018, GoodData(R) Corporation. All rights reserved
# Derived from
# http://code.activestate.com/recipes/576819-logging-to-console-without-surprises/
#
#
# MIT License
#
# Copyright (c) Sridhar Ratnakumar, GoodData
#
# Permission is hereby granted, free of charge, to any perso... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import mathutils
class MHMesh:
def __init__(self, obj, context=None, allow_modifiers=False):
"""
Parse the mesh into a set of numpy arrays, separated per vertex group.
There are two dicts here, where each item is an array.
... |
import torch
from torch import nn
from torch.nn.utils import spectral_norm
import utils.radam
torch.optim.RAdam = utils.radam.RAdam
from generators.common import blocks
import math
class Wrapper:
@staticmethod
def get_args(parser):
parser.add('--dis_padding', type=str, default='zero', help='zero|refl... |
import FWCore.ParameterSet.Config as cms
idealMagneticFieldRecordSource = cms.ESSource("EmptyESSource",
recordName = cms.string('IdealMagneticFieldRecord'),
iovIsRunNotTime = cms.bool(True),
firstValid = cms.vuint32(1)
)
ParametrizedMagneticFieldProducer = cms.ESProducer("ParametrizedMagneticFieldProducer... |
try:
from setuptools import setup
except ImportError:
print "Falling back to distutils. Functionality may be limited."
from distutils.core import setup
config = {
'description' : 'A implementation of tee in Python',
'author' : 'Brandon Sandrowicz',
'url' : 'http:... |
#!/usr/local/bin/python3
from math import prod
def read_input():
file = open('input/2020/day3-input.txt', 'r')
return [[c == '#' for c in line.strip()] for line in file.readlines()]
def count_trees(data, route):
"""
>>> count_trees([
... [False, False, True, True, False, False, False, False... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import numpy as np
import cv2
import tensorflow as tf
from t... |
#!/usr/bin/env python
# Copyright 2019 Division of Medical Image Computing, German Cancer Research Center (DKFZ).
#
# 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... |
#!/usr/bin/env python
"""
nn_manager
A simple wrapper to run the training / testing process
"""
from __future__ import print_function
from collections import OrderedDict
import numpy as np
import torch
__author__ = "Xin Wang"
__email__ = "wangxin@nii.ac.jp"
__copyright__ = "Copyright 2020, Xin Wang"
##############... |
import logging
from typing import Dict, List, Optional, Tuple
from hdx.utilities.text import multiple_replace
from unidecode import unidecode
from hdx.location.country import Country
from hdx.location.names import clean_name
from hdx.location.phonetics import Phonetics
logger = logging.getLogger(__name__)
class Ad... |
# Ciholas, Inc. - www.ciholas.com
# Licensed under: creativecommons.org/licenses/by/4.0
# System libraries
import numpy as np
import pyqtgraph as pg
from collections import deque
from pyqtgraph.Qt import QtGui, QtCore
# Local libraries
from cdp import *
from network_objects import *
from settings import *
class Plo... |
import numpy as np
def preprocess_function(examples, tokenizer):
return tokenizer(examples["text"],
padding="max_length",max_length=201 ,
truncation=True)
def compute_metrics(eval_pred, metric):
predictions, labels = eval_pred
predictions = np.argmax(predictions, ax... |
# MIT License
#
# Copyright (c) 2021 Sangchun Ha
#
# 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, ... |
import numpy as np
from src.mri_loader import _get_vol_files_list, MRIDataset, voxelmorph_labels, _load_vol_and_seg
def _test_get_vol_files_list():
# test training set
train_files = _get_vol_files_list(mode='train', get_unnormalized=True, exclude_PPMI=True)
assert np.all(['train' in tf for tf in train_fi... |
from src.setup.setup_load import DataLoader
from src.processing.belt import AssemblyBelt
import pprint
from multiprocessing import Process, Manager
from src.setup.setup_load import assembler_config, assembly_config
class AssemblyLines:
"""The AssemblyLines is a multi-processing class"""
def __init__(self, te... |
import os
import warnings
from argparse import _SubParsersAction, Namespace
from typing import Callable
import tensorflow as tf
from numpy import ndarray
from keras import Model
from keras.models import load_model
SubParsers = _SubParsersAction
Args = Namespace
def shut_the_logging_up():
os.environ['TF_CPP_MIN... |
"""
gallerize
~~~~~~~~~
:Copyright: 2007-2021 Jochen Kupperschmidt
:License: MIT, see LICENSE for details.
"""
VERSION = '0.5-dev'
|
import numpy as np
import ransac
from vp import geom_tools
class SegmentVPModel(ransac.Model):
"""Fits a vanishing point to a set of lines.
The error measure is segment_midpoint_vp_error().
"""
def fit(self, data):
best_vp_point = choose_best_vp_by_max_error(data)
if best_vp_poi... |
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