avostryakov

import cPickle
import numpy as np
import tensorflow as tf

from data_utils_ubuntu import CustomRunner


def position_encoding(sentence_size, embedding_size):
    """
    Position Encoding described in section 4.1 [1]

avostryakov

from lasagne import nonlinearities, init
from lasagne.layers.normalization import BatchNormLayer
from lasagne.layers.recurrent import Gate, Layer, MergeLayer, LSTMLayer
from lasagne.utils import unroll_scan

import numpy as np

import theano
import theano.tensor as T

avostryakov

import os

from django.core.files.storage import FileSystemStorage
from django.db.models import signals

class MyFileSystemStorage(FileSystemStorage):
    def rename(self, src, dest):
        return os.rename(self.path(src), self.path(dest))

class MyFileField(models.FileField):

avostryakov

sizes = new Array({{ product_sizes|safe }});

function filterSizeSelectField()
{
    product_type = $("#id_product_type").val();
    fields = $("select[id*='-size']").serializeArray();
    size_options = '<option value="">---------</option>';
    $.each(sizes, 
	   function(i, size) 
	   {

avostryakov

$(document).ready(function() {
	$("select[id*='id_products-']").css("width", "145px");
	
	function getSizeSelectField()
    {
		product_type = $("#id_product_type").val();
		fields = $("select[id*='-size']").serializeArray();
		$("select[id*='-size']").load('{% url shop.views.getSelectField %}' + '?type=size&object_id=' + product_type,
			function() {
				$.each(fields, function(i, field) {

avostryakov

# Самое элегантное решение (доступно с версии Python 2.6)
class Requisite(models.Model):
    requisite = models.CharField(max_length=100, verbose_name=u'реквизиты')
    
    @property
    def requisite_dict(self):
        return json.loads(self.requisite)
    @requisite_dict.setter
    def requisite_dict(self, value=None):
        self.requisite = json.dumps(value)

avostryakov

class MultiTextInputWidget(forms.TextInput):
    """
    A widget that is composed of multiple TextInput widgets.

    Its render() display multiple TextInput widgets.
    The ``value`` argument supposes to be a dictionary in json format or string

    This widget can be used together with MultiTextInputField.
    """
    def __init__(self, attrs=None):