mkroutikov

if __name__ == '__main__':
    import cProfile
    cProfile.run('unittest.main()', 'b1')

    import pstats

    p = pstats.Stats('b1')

    p.sort_stats('cumulative').print_stats(20)
    print()

mkroutikov

'''
Utilities to save/load torch models.

Same as built-in torch.save/torch.load, but support cloud URLs
'''
import tensorflow.gfile as gio
import io
import torch

mkroutikov

'''
Super dirty trick to replace io of tensorboardX.SummaryWriter with cloud-capable one (from tensorflow.gfile)
'''

import tensorboardX
import tensorflow.gfile as gio
from unittest import mock
import logging
import time

mkroutikov

def make_overlay(imagename, box, outname):
    '''creates a PNG image of base with overlayed colored boxes. Useful for human review'''
    if 'size' not in box:
        return

    img = Image.open(imagename).convert('RGB')
    draw = ImageDraw.Draw(img, 'RGBA')

    for key,color in [
        ('title', (255, 0, 0, 128)),

mkroutikov

import random

class Rule:
    def __init__(self, name):
        self.name = name


GRAMMAR = {
    'op': ['+', '-', '/', '%', '*'],
    'var': ['x', 'y', 'z', '1', '2', '3'],

mkroutikov

import unittest
import queue


class BlockPipe:
    '''a file-like object that implements Pipe protocol
    using blocking queue
    '''

    def __init__(self, maxsize=0):

mkroutikov

pipeline {
  
  // use only nodes marked as 'tensorflow'
  agent { node { label 'tensorflow' } }
  
  // build parameters - these are prompted interactively
  parameters {
    string(defaultValue: '', description: 'Problem Name', name: 'problem')
  }
  

mkroutikov

import socket
import json
from urllib import request
import time
from izutil.progress import NULL_PROGRESS_METER

class ILabsEngine:

    URL_UPLOAD   = 'https://api.innodatalabs.com/v1/documents/input/'
    URL_PREDICT  = 'https://api.innodatalabs.com/v1/reference/{domain}/{name}'

mkroutikov

class DomainMap:

    _map = None

    @classmethod
    def _get(cls):
        raise NotImplementedError('heavy work done here (someday)')

    @classmethod
    def get(cls):

mkroutikov

class DomainMap:
  _domain_map = None
  
  @classmethod
  def _get(cls):
    # do heavy lifting here
    # result = ...
    return result
  
  @classmethod