text stringlengths 3.07k 12.6k |
|---|
# 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, ... |
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name: hello_world
Description :
Author : zdf's desktop
date: 2020/5/25
-------------------------------------------------
Change Activity:
2020/5/25:18:23
------------------------------... |
# -*- coding: utf-8 -*-
# Copyright 2020 <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 agr... |
"""
TO-DO:
1. Get all features data sets [X]
2. Add labels to the data sets[X]
3. Obtain results of the training ( of all three algos)[X]
4. Obtain the plots and confussion matrix[]
"""
from pathlib import Path
import warnings
warnings.filterwarnings("ignore")
import pandas as pd
import numpy as np
impo... |
"""Mixture model for matrix completion"""
from typing import Tuple
import numpy as np
from scipy.special import logsumexp
from common import GaussianMixture
def estep(X: np.ndarray, mixture: GaussianMixture) -> Tuple[np.ndarray, float]:
"""E-step: Softly assigns each datapoint to a gaussian component
Args:
... |
# -Function that updates the lake storage and lake level given a measured lake level. If no lake
# level is measured, then the actual storage is not updated with a measured level. The function
# returns the updated storage and lake level
def UpdateLakeHStore(self, pcr, pcrm):
# -buffer actual storage
OldStorage... |
import argparse
import configparser
import sys
import logging
import os
from bitbucket.client import Client
from git import Repo
from git import RemoteProgress
from prompt_toolkit import prompt
from prompt_toolkit.styles import Style
from prompt_toolkit.formatted_text import FormattedText
from prompt_toolkit import pr... |
# pylint: disable=unsubscriptable-object
import os
import argparse
import numpy as np
import tensorflow as tf
from sklearn.datasets import load_iris
def quantize_data(header, dtypes, X):
for i, (h, dtype) in enumerate(zip(header, dtypes)):
if h[0] != 'f' or dtype != np.int32:
continue
... |
import pe
from pe.operators import (
Literal,
Class,
Regex,
Sequence,
Choice,
Nonterminal,
Capture,
)
from pe._grammar import Grammar
from pe._parse import loads
from pe._optimize import optimize
def gload(s, inline=False, common=False, regex=False):
start, defmap = loads(s)
retur... |
import sys
import os
import socket
import shutil
import argparse
import numpy as np
import random
import cv2
import moviepy.editor as mpy
from PIL import Image, ImageDraw, ImageFont
from libDonkeyCar.datastore import Tub
from libPlotter.testVideoHelper import TestVideoHelper
#path = 'C:\\Projects\\Robotics\\Donkey... |
#!/usr/bin/env python
#########################################################################################
#
# Concatenate transformations. This function is a wrapper for isct_ComposeMultiTransform
#
# ---------------------------------------------------------------------------------------
# Copyright (c) 2014 Poly... |
#-*-coding:utf-8-*-
import tensorflow as tf
#输入数据
from tensorflow.examples.tutorials.mnist import input_data
#mnist =input_data.read_data_sets("/tmp/data/mnist",one_hot=True)
#本地路径
MNIST_data_folder="/home/syx/PycharmProjects/NN_Rep/data/mnist"
mnist=input_data.read_data_sets(MNIST_data_folder,one_hot=True)
#定义网络超参数
... |
""""
Based on the good work from @JayBlackedOut
https://github.com/JayBlackedOut/hass-nhlapi/blob/master/README.md
"""
import logging
from datetime import timedelta, datetime as dt
import random
import requests
import voluptuous as vol
import json
from typing import Optional
from dataclasses import dataclass
from ho... |
# Copyright 2021 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
# generak
import pandas as pd
import numpy as np
from pandas import to_datetime
# plot libarys
import seaborn as sns
import matplotlib.pyplot as plt
# Model preperation
from sklearn.model_selection import train_test_split
from sklearn.model_selection import train_test_split, Ra... |
# Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
"""Automatic testing for handling archives
"""
import os
import zipfile
import pytest
import qisys
from qisys.archive import extract, guess_algo ... |
#
# steuermann remote execution daemon - use this when you can't use
# something better (like ssh) to get your commands running in the
# other machine.
#
# Copyright 2012 Association of Universities for Research in Astronomy (AURA)
#
import os
import time
import CGIHTTPServer
import BaseHTTPServer
import SocketServer... |
#!/usr/bin/env python3
from collections import OrderedDict
import math
from operator import getitem
import os
import json
import requests
import sys
import time
import yaml
BASE = "https://api.github.com"
here = os.path.dirname(os.path.abspath(__file__))
def write_yaml(yaml_dict, filename):
"""write a dictionar... |
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 15 08:44:55 2021
@author: User
"""
#Ejercicio 6.1: Propagar por vecinos
'''
El siguiente código propaga el fuego de cáda fósforo
encendido a sus vecinos inmediatos (si son fósforos
nuevos) a lo largo de toda la lista. Y repite esta
operación mientras sea necesario. ¿Te... |
#!/usr/bin/env python
import click
from colorama import Fore, Style
import logging
import os
import systemd_watchdog
from typing import Tuple, Optional, List
from influxdb_logger import InfluxdbLogger
from pms7003 import PMS7003, PMSData, SearchResult
def get_aqi(pm25: float) -> str:
"""return the aqi for the pm... |
import vgg_network
import tensorflow as tf
import numpy as np
from sys import stdout
from functools import reduce
class StyleTransfer:
CONTENT_LAYER = 'relu4_2'
STYLE_LAYERS = ('relu1_1', 'relu2_1', 'relu3_1', 'relu4_1', 'relu5_1')
def __init__(self, vgg_path, content,
style, content_w... |
#!/usr/bin/env python3
# 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 asyncio
import base64
import json
import logging
import os
import random
import sys
from contextlib import async... |
#!/usr/bin/env python
from datetime import datetime
from subprocess import call, CalledProcessError
from tool import BaseCommand, CommandError, Tool
import os
import shutil
import sys
class Wheelbarrow(Tool):
def __init__(self, backup_path, plone_path, **options):
"""Plone backup tool
Argument... |
"""GSSAPI linebased client/server protocol.
#
# Usage:
#
# Server:
#
# class Echo(gssapiprotocol.GSSAPILineServer):
# def got_line(self, line):
# self.write('echo: ' + line)
#
# class EchoFactory(protocol.Factory):
# def buildProtocol(self, addr): # pylint: disable=C0103
# ... |
from queue import Queue
from queue import LifoQueue
'''
Simple implementation of a graph class
that encompasses unweighted/weighted and
directed/undirected graphs
Uses a dictionary of dictionaries to represent
the adjacency list.
EXAMPLE
1 is connected to 2 with weight 5
3 is connected to 1 with weight 10
Adjacency... |
#!/opt/nfv/bin/python3.8
from classes.CampusStudents import Students
from classes.CampusTeachers import Teachers
import csv
import os
from datetime import datetime
import logging
now = datetime.now()
campus = Students()
logname = f"{now}.log"
loglocation = os.path.join(os.path.dirname(__file__), "hmhsam", f"{logname... |
import numpy as np
import cv2
import matplotlib.pyplot as plt
from PIL import Image, ImageOps
from scipy import ndimage, misc, signal
import PIL
from skimage.transform import probabilistic_hough_line
from skimage.transform import hough_line, hough_line_peaks
from skimage.feature import canny
from skimage import data
fr... |
import argparse
import pickle
from os import mkdir, listdir
from os.path import exists, isfile, join
from shutil import copyfile
import numpy as np
import tensorflow as tf
from tensorflow.contrib.cudnn_rnn.python.ops import cudnn_rnn_ops
from docqa.data_processing.qa_training_data import ParagraphAndQuestionSpec, Par... |
#!/usr/bin/env python3
import imagehash
import os
import PIL.Image
import PIL.ImageGrab
import pynput
import random
import re
import schedule
import subprocess
import time
# === Configuration options ===
# Time in milliseconds to display notifications for
notification_duration = 15 * 1000
# Time in seconds before c... |
#!/usr/bin/env python
# coding: utf-8
get_ipython().system('pip install -U --pre tensorflow=="2.*"')
get_ipython().system('pip install pycocotools')
import os
import pathlib
if "models" in pathlib.Path.cwd().parts:
while "models" in pathlib.Path.cwd().parts:
os.chdir('..')
elif not pathlib.Path('models').e... |
#!/usr/bin/env python3
import numpy as np
import bluebell as bb
import unittest
def get_random_mu_and_C(D):
mu = np.random.uniform(low=-1., high=1., size=(D))
C = np.random.uniform(low=-1., high=1., size=(D,D))
C = C@C.T # positive symmetric
return mu, C
class TestBluebell(unittest.TestCase):
def... |
import datetime
import os, sys
import inspect
from typing import Union, Optional
# local
try:
# need when 「python3 gfzs/utils/logger.py」
if __name__ == "__main__":
# https://codechacha.com/ja/how-to-import-python-files/
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))... |
import numpy as np
import pandas as pd
# Test data download requirements:
import requests
import os
URL_DATA = "https://raw.githubusercontent.com/open2c/cooltools/pileup-update/datasets/external_test_files.tsv"
def assign_supports(features, supports, labels=False, suffix=""):
"""
Assign support regions to a ... |
"""
Discovery
---------
Functions used to render and return discovery responses to Envoy proxies.
The templates are configurable. `todo See ref:Configuration#Templates`
"""
import yaml
from yaml.parser import ParserError, ScannerError # type: ignore
from enum import Enum
from typing import List, Dict, Any, Optional
... |
# Copyright 2021-2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... |
"""
Helper methods for dealing with openshift template
"""
import os
import json
import logging
import re
from .utils import oc, parse_restype, get_cfg_files_in_dir, load_cfg_file
log = logging.getLogger(__name__)
def get_templates_in_dir(path):
"""
Given a directory path, returns a dict with keys: templat... |
import tempfile
import os
import subprocess
import shutil
from itertools import product
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import fetch_20newsgroups
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Lab... |
#
# Collective Knowledge (dataset features)
#
# See CK LICENSE.txt for licensing details
# See CK COPYRIGHT.txt for copyright details
#
# Developer: <NAME>, <EMAIL>, http://fursin.net
#
cfg={} # Will be updated by CK (meta description of this module)
work={} # Will be updated by CK (temporal data)
ck=None # Will be u... |
import math
from typing import List
import numpy as np
from PyQt5 import QtSvg
from PyQt5.QtCore import Qt, QPoint, QRect, QRectF
from PyQt5.QtGui import QPen, QPainter, QColor, QFont, QBrush
from pedrec.models.constants.action_mappings import ACTION
from pedrec.models.constants.class_mappings import COCO_CLASSES
fro... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... |
from models.site import SiteModel
from uuid import uuid4
from flask_restful import Resource, reqparse
from models.hotel import HotelModel
import datetime
from flask_jwt_extended.view_decorators import jwt_required
def normalize_path_params(location=None, min_stars=0, max_stars=5, min_daily=0,
... |
#!/usr/bin/env python3
"""
This class is to be inherited by all the pic4rl enviornments
"""
import rclpy
from rclpy.node import Node
import random
from gazebo_msgs.srv import DeleteEntity, SpawnEntity
from std_srvs.srv import Empty
import numpy as np
import time
from rclpy.executors import MultiThreadedExecutor... |
#! /usr/bin/env python -u
# coding=utf-8
import logging
import os
import platform
import stat
import subprocess
import zipfile
from io import BytesIO
from pathlib import Path
import requests
import rpy2.robjects.packages as rpackages
from rpy2.robjects.packages import importr
from genoml.utils import DescriptionLoade... |
# MIT License
#
# Copyright (c) 2018 Facebook
# Copyright 2020 ROS-Industrial Consortium Asia Pacific
#
# 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 ... |
import base64
import copy
import hashlib
import os
import polib
import shutil
from io import BytesIO
from django.core import management
from django.core.management import BaseCommand, call_command
from django.utils.encoding import force_bytes
from django.utils.module_loading import import_string
from ...tools import ge... |
"""
This program is designed to start a number of new EC2 instances.
Usage: swarm start <options> <number>
where <options> is zero or more of:
-a <auth> set path to key directory (default ~/.ssh)
-c <config> set the config file to use
-f <flavour> set the image flavour
-h pri... |
"""
dealing with hosts (Host records in our database)
"""
from datetime import datetime
from django.core.management.base import BaseCommand
from django.db import transaction
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from nsupdate.main.models import Host
from nsupdate.u... |
import os
import tempfile
import numpy as np
import pytest
import tensorboardX
from numpy.testing import assert_almost_equal
from tbparse import SummaryReader
from torch.utils.tensorboard import SummaryWriter
R = 5
N_STEPS = 100
@pytest.fixture
def prepare(testdir):
# Use torch for main tests, logs for tensorboa... |
#!/home/programadorjoao/.virtualenvs/founse/bin/python
# QUANDO TERMINAR HTML O ESTILO DA PÁGINA E ESSAS COISAS, VOU MELHORAR O CÓDIGO
from quart import Quart, render_template, redirect, url_for, request, session, flash, get_flashed_messages
from secrets import token_urlsafe
import json
app = Quart('Founse-improved',... |
"""
Views to display Metric data.
Note on Implementation: Since this app doesn't really use django's Models,
the views here are extended from ``TemplateView`` in order to keep things
simple.
"""
from __future__ import unicode_literals
from datetime import datetime
from django.contrib.auth.decorators import user_pass... |
#!/usr/bin/env python3
import os
import time
from textwrap import dedent
import inquirer
from click import Path, argument, group, option
from colorama import Fore, Style, init as colorama_init
from git import Repo, exc
from rich import print as rprint
from rich.console import RenderGroup
from rich.panel import Panel
... |
# -*- coding: utf-8 -*-
"""
Generates correlation matrices using two of the approaches described in:
Hardin & Garcia (2013). A method for generating realistic correlation
matrices.
Created on Wed Jun 19 13:56:24 2013
Copyright (c) 2013-2014, CEA/DSV/I2BM/Neurospin. All rights reserved.
@author: <NAME>
@ema... |
from .DataHub.DataAgent import *
from .Utility.resource_task import *
from .Utility.time_utility import *
from .DataHubEntry import DataHubEntry
from .AnalyzerEntry import StrategyEntry, AnalysisResult
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, Executor
class SasUpdateTask(ResourceTask):
... |
import unittest
import tests.uvlm.static.polars.generate_wing as gw
import os
import glob
import configobj
import numpy as np
from sharpy.aero.utils.utils import local_stability_axes
import sharpy.utils.algebra as algebra
class InfiniteWing:
area = 90000000.0
chord = 3
def force_coef(self, rho, uinf):
... |
import logging
import time
from flask import request
from flask_restx import Resource
from jobtech.common.rest.decorators import check_api_key_and_return_metadata
from sokannonser import settings
from sokannonser.rest import ns_platsannons
from sokannonser.rest.model.queries import annons_complete_query, pb_query, load... |
from database import db_session, init_db
from models import ArticleMetadata, CodeFirstPass, CodeSecondPass
from sqlalchemy import func
from datetime import datetime
import random
import pandas as pd
import numpy as np
today_str = datetime.today().strftime('%Y-%m-%d')
## get the database of variables
df_db = pd.DataFr... |
import numpy as np
# binomial expansion for ARFIMA models
def _calc_arfima_binomial(n, nterms):
# switch equation side
n = -n
bc = np.zeros([nterms, 1])
bc[0] = 1
# generate coefficients
for i in range(1, nterms):
bc[i] = abs(bc[i - 1] * (n - (i - 1)) / i)
return bc
def ARFIMA_si... |
# Copyright (c) 2010-2011 Lazy 8 Studios, LLC.
# All rights reserved.
from front import Constants
from front.lib import db, get_uuid, utils
from front.models.mission import make_mission_id
# TODO: Consider additional optimizations for these queries that would not require large
# portions of the gamestate to be built. ... |
#!/usr/bin/env python3
import sys
import pygame
import random
import time
# import json
from engine import *
from engine.utils import vector2
sheet = None
class Blocker(Entity):
def __init__(self):
super(Blocker, self).__init__(load_json_file("blockers.json"))
self.anim.set_active_sequence("b1")
... |
import arcpy
from arcpy import env
from arcpy.sa import *
import os.path
import glob
import csv
# --- PARAMS AND SETUP ---------------------------------------------------------
workingTempDirName = "WorkingTemp"
workingDirName = "Working"
resultDirName = "Results"
tempFolderName = "temp"
inputFolderName = "Input"
arc... |
'''
This is a build project for Lambda School CS Unit.
I am implementing a k-means clustering algorithm from scratch.
'''
# Imports
import matplotlib.pyplot as plt
import numpy as np
import random
# Distance between two points function using Euclidean geometry
def distance(x, y):
return np.sqrt(np.sum((x-y)**2))... |
import csv, json, datetime as dt, time
from pprint import pprint
from tensorflow.keras.preprocessing.text import text_to_word_sequence as ttws
csv.field_size_limit(500000)
#https://github.com/first20hours/google-10000-english/blob/master/20k.txt
#dataSource = "source/requests_data.csv"
dataSource = "../data/LastMonthR... |
#!/usr/bin/env python3
#
# Copyright 2018 <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 applicab... |
import numpy as np
import pickle
import os
from pathlib import Path
from sacred import Experiment
from sacred.observers import FileStorageObserver
from data.pipeline import get_data_features
from core.kernel import get_kernel, optimize_kernel_binsearch_only
from core.reward_calculation import get_v, shapley, ... |
# The MIT License (MIT)
#
# Copyright (c) 2016 <NAME> for Adafruit Industries
# Copyright (c) 2019 <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 with... |
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
def sigmoid(z):
return 1 / (1 + np.exp(-z))
def forward_propagates(X, theta):
a = []
z = []
a.append(X) # a[0].shape = (m, n)
for i in range(len(theta)):
a[i] = np.insert(a[i], 0, values=1, axis=1) # a[0].shape = (m, n+1 or hi... |
from __future__ import division
import time
import Adafruit_PCA9685
class Servomotor:
# Tamanho mínimo e máximo do pulso do PCA9685
servo_min_pulse_length = 150 # Min pulse length out of 4096
servo_max_pulse_length = 600 # Max pulse length out of 4096
servo_PIN = 0
servo_last_posit... |
import logging
import enum
import webbrowser
import xmltodict
from requests_oauthlib import OAuth1Session
from oauthlib.common import add_params_to_uri
from .account import Account
ETRADE_LOGIN_URL = "https://us.etrade.com/e/t/etws/authorize"
OAUTH_BASE_URL = "https://api{}.etrade.com/oauth/"
API_BASE_URL = "https://... |
# Copyright © 2019 Province of British Columbia
#
# 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 agr... |
'''
Interface between native messages and get_iplayer and other system commands
'''
import subprocess
import utils.messages as msg
DL_BBC_RADIO_PRESET = 'dl-bbc-radio'
class RecordingMessageHandler:
'''
Converts output from the get_iplayer recording command to a status update object for the frontend.
'''
... |
import requests
from time import sleep
from random import randint,choice
from bs4 import BeautifulSoup
import sys
import os
import json
import math
help_options = ["Answer few of your questions.", "Roll a dice.", "Toss a coin", "Subtract number", "Add numbers" , "find factorial",'riddle']
def find_database_path():
... |
import scrapy
import os
import json
import re
from pprint import pprint
ROOT_DIR = os.path.dirname(__file__)
SETTING_PATH = os.path.join(ROOT_DIR, 'conf', 'qidian.json')
web_settings = json.load(open(SETTING_PATH, 'r'))
cate_mapping = {ca: c for c in web_settings['category'] for ca in web_settings['category'][c]}
de... |
"""Fetch transmitter and elevation data."""
import argparse
import itertools
import pathlib
import requests
import zipfile
from tqdm.auto import tqdm
from rasp import logger
from rasp import CACHE_DIR, SRTM_DIR
from ..utils import geodesy
from ..constants import DEG_PER_RAD, π
__all__ = ["tafl", "baserad", "siteda... |
import random
import urllib
import requests
from libtrustbridge.websub.domain import Pattern
from src import repos
from src.loggers import logging
logger = logging.getLogger(__name__)
class PostNotificationUseCase:
"""
Base use case to send message for notification
"""
def __init__(self, notificati... |
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 14 17:51:53 2015
@author: piotr at nicecircuits.com
"""
from libraryManager.library import libraryClass
from libraryManager.part import part
from libraryManager.footprintPrimitive import *
from libraryManager.defaults import *
from libraryManager.common import *
from sym... |
"""
Least-squares fitting and nearest rotation matrix
"""
import numpy as np
import scipy.linalg as la
from .trafo import Transformation
from .rotation import Rotation, Quaternion, map_to_quat
def qfit(target, source):
"""Least-squares fitting of source onto target using unit quaternions.
Parameters
--... |
import json
from notebook.utils import url_path_join
from notebook.base.handlers import IPythonHandler
from tornado import web
from tornado import gen
from tornado.web import MissingArgumentError
from tornado.escape import json_decode
from sparkmagic.kernels.kernelmagics import KernelMagics
import sparkmagic.utils.con... |
"""
Base module for filters.
"""
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import logging
import numpy as np
from six import string_types
class FilterResult(object):
"""
Result object returned by a filter.
"""
def __ini... |
# all the imports
import sqlite3
from flask import Flask, request, session, g, redirect, url_for, \
abort, render_template, flash, Request, Response
from contextlib import closing
from datetime import datetime
# configuration
DATABASE = '/tmp/flaskr.db'
DEBUG = False
SECRET_KEY = 'development key'
USERNAME = 'adm... |
"""General validator utilities."""
from __future__ import annotations
import re
from typing import Any, Callable, cast
import voluptuous as vol # type: ignore
# Validation Helpers
BITS_VALUES = {
"8bits": 0xFF,
"16bits": 0xFFFF,
"24bits": 0xFFFFFF,
"32bits": 0xFFFFFFFF,
"40bits": 0xFFFFFFFFFF,... |
# _____ __ __ ___________ ____
# / ___// /____ ____ / |/ / _/ __ \/ _/
# \__ \/ __/ _ \/ __ \/ /|_/ // // / / // /
# ___/ / /_/ __/ /_/ / / / // // /_/ // /
# /____/\__/\___/ .___/_/ /_/___/_____/___/
# /_/
# StepMIDI by @sugoku
#... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
[1] <NAME>,
http://www.multiresolutions.com/sparsesignalrecipes/software.html
[2] <NAME>, https://github.com/broxtronix/pymultiscale/
[3] <NAME>, <NAME> and <NAME>, "Wavelets, Ridgelets, and
Curvelets for Poisson Noise Removal," in IEEE Transactions on Image Processin... |
'''
views.py contains the get and post handler logic.
'''
import json
from django.template import RequestContext
from django.shortcuts import render
from django.http import Http404, HttpResponse, HttpResponseBadRequest, HttpResponseForbidden
from django.utils.translation import ugettext_lazy as _
from django.forms.fo... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import argparse
import numpy as np
from tqdm import tqdm
from utils import (read_meta, write_meta, build_knns,
labels2clusters, clusters2labels, BasicDataset, Timer)
from proposals import super_vertex, filter_clusters, save_proposals
def pa... |
#!/usr/bin/env python3
import argparse
import pickle
import sys
from copy import copy
from pathlib import Path
def nullfunc(*args, **kwargs):
pass
vprint = nullfunc
def parse_perfest(fpath):
text = fpath.read_text()
return float(text.strip())
def parse_errorprop(fpath):
text = fpath.read_text().sp... |
from typing import List, Tuple, Union
from dataclasses import dataclass
from dataclasses_json import dataclass_json
import torch
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from pathlib import Path
from gpytorch.mlls import ExactMarginalLogLikelihood
@dataclass_json
@dataclass
class GPT... |
# -*- coding: utf-8 -*-
import datetime
import re
from pprint import pformat
import GetOldTweets3 as got
import pandas as pd
from src.utils import Timer, load_csv, paths
USE_TWEETS_COLS = ["username", "formatted_date", "cleaned_text", "text"]
PRE_PROCESSING_OPTIONS = {
# custom
"lower_string": True,
... |
import argparse
from typing import Dict, Hashable, Any, Tuple, List, Optional, Union
from edgePy.data_import.mongodb.mongo_wrapper import MongoWrapper
from edgePy.data_import.mongodb.gene_functions import get_canonical_rpkm
from edgePy.data_import.mongodb.gene_functions import get_canonical_raw
from edgePy.data_import... |
"""
AVL Node
"""
class avlnode:
"""
Constructor
"""
def __init__(self, value):
self.left = None
self.right = None
self.value = value
def __str__(self):
return str(self.value)
def __repr__(self):
return str(self.value)
"""
AVL Tree
"""
class avltr... |
"""Define classes and functions for interfacing with SageMaker Ground
Truth object detection.
"""
import os
import imageio
import matplotlib.pyplot as plt
import numpy as np
class BoundingBox:
"""Bounding box for an object in an image."""
def __init__(self, image_id=None, boxdata=None):
self.image_... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
magnetCalibration.py
Author: <NAME>, <NAME>
Last Edited: 06.12.2018
Python Version: 3.6.5
Script to read the magnetic field generated in relation to the voltage applied
from the DAQ measurement card. Generated Calibration File.
Structure of this module:
1) Imports... |
import requests
from django.conf import settings
from django.db import models
from django.urls import reverse_lazy
from UserManagement.models import Attendent, ExpertProfile, Team
# Import for Google Maps Plugin
from django_google_maps import fields as map_fields
from django.utils.text import slugify
from datetime imp... |
"""
Flow:
1. use region clustering to identify main regions
2. identify useful segments of the image -> cut up each image into sub images
3. cross-correlate between the 2 image segments, and if there is image segment that is both (i) significant portion of the screen & (ii) high image similarity, then it must have been... |
# Standard library imports.
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import json
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
# Related third party imports.
from rasa_sdk import Action
from rasa_... |
"""
initialize_memory.py is a Python routine that reads the data
and stores the resulting run variables as pickle files of <NAME>,
<NAME>, and <NAME>, "Leading-order nonlinear gravitational
waves from reheating magnetogeneses".
The function run() executes the code.
"""
import os
import numpy as np
# get working dire... |
##############################################################################
#
# Copyright (c) 2001 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... |
import pickle
from multiprocessing import Process, freeze_support
import os
import shutil
from classifier import get_dict_of_top_extensions
from shutil import copy, move
counter_limit = 1000
how_deep = 15
threads_num = 8
distributing_files_root_dir = 'temp_languages'
file_list_dump = 'dump_file_list_temp_languages'
... |
import numpy as np
import networkx as nx
from scipy import spatial
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import pykoda
import tqdm
"""
In this example we are going to divide Stockholm in zones , and create a connectivity network between zones. We will
then perform spectral analysis to s... |
#!/usr/bin/env python3
import argparse
import json
import socket
import sys
import time
from web3 import Web3, exceptions
from contract import pricefeed, wrb
from config import load_config
# Post a data request to the post_dr method of the WRB contract
def handle_requestUpdate(w3, pricefeedcontract, account_addr, gas,... |
#!/usr/bin/env python
#
# Copyrite (c) 2014 SecurityKISS Ltd (http://www.securitykiss.com)
#
# This file is part of rfw
#
# The MIT License (MIT)
#
# Yes, Mr patent attorney, you have nothing to do here. Find a decent job instead.
# Fight intellectual "property".
#
# Permission is hereby granted, free of charge, to ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.