old_contents: # -*- coding: utf-8 -*-
  # Copyright (c) 2015, Vispy Development Team.
  # Distributed under the (new) BSD License. See LICENSE.txt for more info.
  
  import numpy as np
  from os import path as op
  
  from ..util import load_data_file
  
  # This is the package data dir, not the dir for config, etc.
  DATA_DIR = op.join(op.dirname(__file__), '_data')
  
  
  def load_iris():
      """Load the iris dataset
  
      Returns
      -------
      iris : NpzFile
          data['data'] : a (150, 4) NumPy array with the iris' features
          data['group'] : a (150,) NumPy array with the iris' group
      """
      return np.load(load_data_file('iris/iris.npz',
                                    force_download='2014-09-04'))
  
  
  def load_crate():
      """Load an image of a crate
  
      Returns
      -------
      crate : array
          256x256x3 crate image.
      """
      return np.load(load_data_file('orig/crate.npz'))['crate']
  
  
  def pack_unit(value):
      """Packs float values between [0,1] into 4 unsigned int8
  
      Returns
      -------
      pack: array
          packed interpolation kernel
      """
      print(value.max(), value.min())
      pack = np.zeros(value.shape + (4,), dtype=np.ubyte)
      for i in range(4):
          value, pack[..., i] = np.modf(value * 256.)
      return pack
  
  
  def pack_ieee(value):
      """Packs float ieee binary representation into 4 unsigned int8
  
      Returns
      -------
      pack: array
          packed interpolation kernel
      """
      return np.fromstring(value.tostring(),
                           np.ubyte).reshape((value.shape + (4,)))
  
  
  def load_spatial_filters(packed=True):
      """Load spatial-filters kernel
  
      Returns
      -------
      kernel : array
          16x1024x4 (packed float in rgba) or
          16x1024 (unpacked float)
          16 interpolation kernel with length 1024 each.
  
      names : tuple of strings
          Respective interpolation names, plus "Nearest" which does
          not require a filter but can still be used
      """
      names = ("Bilinear", "Hanning", "Hamming", "Hermite",
               "Kaiser", "Quadric", "Bicubic", "CatRom",
               "Mitchell", "Spline16", "Spline36", "Gaussian",
               "Bessel", "Sinc", "Lanczos", "Blackman", "Nearest")
  
      kernel = np.load(op.join(DATA_DIR, 'spatial-filters.npy'))
      if packed:
          # convert the kernel to a packed representation
          kernel = pack_unit(kernel)
  
      return kernel, names
  
new_contents: # -*- coding: utf-8 -*-
  # Copyright (c) 2015, Vispy Development Team.
  # Distributed under the (new) BSD License. See LICENSE.txt for more info.
  
  import numpy as np
  from os import path as op
  
  from ..util import load_data_file
  
  # This is the package data dir, not the dir for config, etc.
  DATA_DIR = op.join(op.dirname(__file__), '_data')
  
  
  def load_iris():
      """Load the iris dataset
  
      Returns
      -------
      iris : NpzFile
          data['data'] : a (150, 4) NumPy array with the iris' features
          data['group'] : a (150,) NumPy array with the iris' group
      """
      return np.load(load_data_file('iris/iris.npz',
                                    force_download='2014-09-04'))
  
  
  def load_crate():
      """Load an image of a crate
  
      Returns
      -------
      crate : array
          256x256x3 crate image.
      """
      return np.load(load_data_file('orig/crate.npz'))['crate']
  
  
  def pack_unit(value):
      """Packs float values between [0,1] into 4 unsigned int8
  
      Returns
      -------
      pack: array
          packed interpolation kernel
      """
      pack = np.zeros(value.shape + (4,), dtype=np.ubyte)
      for i in range(4):
          value, pack[..., i] = np.modf(value * 256.)
      return pack
  
  
  def pack_ieee(value):
      """Packs float ieee binary representation into 4 unsigned int8
  
      Returns
      -------
      pack: array
          packed interpolation kernel
      """
      return np.fromstring(value.tostring(),
                           np.ubyte).reshape((value.shape + (4,)))
  
  
  def load_spatial_filters(packed=True):
      """Load spatial-filters kernel
  
      Returns
      -------
      kernel : array
          16x1024x4 (packed float in rgba) or
          16x1024 (unpacked float)
          16 interpolation kernel with length 1024 each.
  
      names : tuple of strings
          Respective interpolation names, plus "Nearest" which does
          not require a filter but can still be used
      """
      names = ("Bilinear", "Hanning", "Hamming", "Hermite",
               "Kaiser", "Quadric", "Bicubic", "CatRom",
               "Mitchell", "Spline16", "Spline36", "Gaussian",
               "Bessel", "Sinc", "Lanczos", "Blackman", "Nearest")
  
      kernel = np.load(op.join(DATA_DIR, 'spatial-filters.npy'))
      if packed:
          # convert the kernel to a packed representation
          kernel = pack_unit(kernel)
  
      return kernel, names
  
subject: remove debug print statement