epigos

"""
HTML forms
(part of web.py)
"""

import copy, re
import webapi as web
import utils, net

def attrget(obj, attr, value=None):

epigos

import base64

from django.core.files.base import ContentFile
from rest_framework import serializers


class Base64ImageField(serializers.ImageField):
    def from_native(self, data):
        if isinstance(data, basestring) and data.startswith('data:image'):
            # base64 encoded image - decode

epigos

from twisted.internet.threads import deferToThread
#from scrapy.utils.serialize import ScrapyJSONEncoder
from pymongo import MongoClient
from pymongo.errors import DuplicateKeyError
from scrapy.exceptions import DropItem


class MongoPipeline(object):

    """Pushes scraped data in to mongodb"""

epigos

from django.forms import ModelForm, FileField

from .models import Campaign
from .widgets import ImagePreviewWidget


class DesignCampaignForm(ModelForm):

    brand_logo = FileField(widget=ImagePreviewWidget)

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#!/usr/bin/env python -i
"""
A local interactive IPython shell for Google App Engine on Mac OSX.

Usage:
    cd /to/project/folder/with/app.yaml
    python gae_shell.py

Notes:

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"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

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#!/usr/bin/env python
# -*- coding:UTF-8 -*-

import torch
import torch.nn as nn
import torch.nn.init as init


def weight_init(m):
    '''