Fixed more test failures

    value = np.random.uniform(size=(2, 3)).astype(np.float32)

    with self.session() as sess:

      result = Exp()(value).eval()

      assert np.array_equal(np.exp(value), result)

      assert np.allclose(np.exp(value), result)

  def test_interatomic_distances(self):

    """Test that the interatomic distance calculation works."""

import pandas as pd

import deepchem as dc

import scipy.ndimage

from PIL import Image

class TestTransformers(unittest.TestCase):

    dt = DataTransforms(self.d)

    h = 150

    w = 150

    scale = scipy.misc.imresize(self.d, (h, w))

    scale = Image.fromarray(self.d).resize((h, w))

    check_scale = dt.scale(h, w)

    np.allclose(scale, check_scale)

import deepchem as dc

import tensorflow as tf

from deepchem.data import NumpyDataset

from PIL import Image

def undo_transforms(y, transformers):

  def transform_array(self, X, y, w):

    """Transform the data in a set of (X, y, w) arrays."""

    images = [scipy.ndimage.imread(x, mode='RGB') for x in X]

    images = [scipy.misc.imresize(x, size=self.size) for x in images]

    images = [Image.fromarray(x).resize(self.size) for x in images]

    return np.array(images), y, w

                h - height of the images

                w - width of the images

    """

    return scipy.misc.imresize(self.Image, (h, w))

    return Image.fromarray(self.Image).resize((h, w))

  def flip(self, direction="lr"):

    """ Flips the image