utils.py

import numpy as np
import json
def softmax(x):
    """Compute softmax values for each sets of scores in x."""
    e_x = np.exp(x - np.max(x))
    temp=e_x / e_x.sum(axis=0) # only difference
    
    if np.isnan(temp).any()==True:
        return [0.0,1.0,0.0]
    else:
        return temp



class CharVal(object):
    def __init__(self, char, val):
        self.char = char
        self.val = val

    def __str__(self):
        return self.char

def rgb_to_hex(rgb):
    return '#%02x%02x%02x' % rgb


def color_charvals_lime(s):
    r = 255-int(s.val*255)
    color = rgb_to_hex((255, r, r))
    return 'background-color: %s' % color
def color_charvals_rationale(s):
    r = 255-int(s.val*255)
    color = rgb_to_hex((255, r, r))
    return 'background-color: %s' % color


class NumpyEncoder(json.JSONEncoder):
    """ Special json encoder for numpy types """
    def default(self, obj):
        if isinstance(obj, (np.int_, np.intc, np.intp, np.int8,
            np.int16, np.int32, np.int64, np.uint8,
            np.uint16, np.uint32, np.uint64)):
            return int(obj)
        elif isinstance(obj, (np.float_, np.float16, np.float32, 
            np.float64)):
            return float(obj)
        elif isinstance(obj,(np.ndarray,)): #### This is the fix
            return obj.tolist()
        return json.JSONEncoder.default(self, obj)