scottire

machine:
  timezone:
    America/Los_Angeles
  xcode:
    version: "9.0"

#manually installing node
  environment:
dependencies:
  pre:

scottire

import 'rxjs/add/operator/map';
import { Events } from 'ionic-angular'
import { getHidParamsFromUrl } from '../lib/utils'
import { Injectable } from '@angular/core';
import { Http, Response } from '@angular/http';
import { Headers } from '@angular/http';
import 'rxjs/add/operator/catch';
import 'rxjs/add/operator/map';
import 'rxjs/add/operator/toPromise';

scottire

/*
 * Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.
 *
 * 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, publish, distribute, sublicense,
 * and/or sell copies of the Software, and to permit persons to whom the
 * Software is furnished to do so, subject to the following conditions:
 *

scottire

import scipy.io as sio
import numpy as np
import os
import gc
import six.moves.urllib as urllib
import cv2
import time
import xml.etree.cElementTree as ET
import random
import shutil as sh

scottire

## See this blog for original post about jp_proxy_widget and wavesurfer.js https://blog.ouseful.info/2020/01/11/rapid-widget-prototyping-using-third-party-javascript-packages-in-jupyter-notebooks/ 

import jp_proxy_widget
import ipywidgets as widgets

widget = jp_proxy_widget.JSProxyWidget()

js = "https://unpkg.com/wavesurfer.js"
js2="https://unpkg.com/wavesurfer.js/dist/plugin/wavesurfer.spectrogram.min.js"
url = "https://ia902606.us.archive.org/35/items/shortpoetry_047_librivox/song_cjrg_teasdale_64kb.mp3"

scottire

from ipywidgets import IntSlider, ToggleButton, Text
from IPython.display import display, Audio, Javascript
from scipy.io import wavfile
import numpy as np
from matplotlib import pyplot as plt
import ipywidgets

t = Text(value='0',
         description='Elapsed Time:',
         style = {'description_width': 'initial'},

scottire

import numpy as np

import torch
import torch.nn as nn
import numpy as np
import panel as pn
from ipywidgets import widgets
from ipywidgets import interact, interactive, fixed, interact_manual
from IPython.display import display
import holoviews as hv

scottire

# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <jkjung13@gmail.com>

scottire

import wandb

# 1: Define objective/training function
def objective(config):
    score = config.x ** 3 + config.y
    return score

def main():
    wandb.init(project='my-first-sweep')
    score = objective(wandb.config)

scottire

import numpy as np
import panel as pn
import holoviews as hv 
hv.extension("bokeh")
# hv.extension('matplotlib')
from holoviews.streams import Stream, Params
from scipy.io import wavfile
from scipy.signal import spectrogram

rate, data = wavfile.read('/filepath.wav')