old_contents: import pytest
  import os
  import numpy as np
  
  import sys
  myPath = os.path.dirname(os.path.abspath(__file__))
  sys.path.insert(0, os.path.join(myPath, '..'))
  
  from DBNlogic.sets import exists, full, DataSet, MNIST, SmallerMNIST
  
  def test_existsTrue():
      """The function `exists` returns True if
      given the path of an existing file."""
      file = open('test.test', 'w+')
      file.close()
      assert exists('test.test')
      os.remove('test.test')
  
  def test_existsFalse():
      """The function `exists` returns False if
      given the path of an unexisting file."""
      assert exists('test.test') == False
  
  def test_DataSetConstructor():
      """A DataSet object can be constructed from an array."""
      data = [1, 2, 3, 4, 5, 6, 7]
      dataset = DataSet(data)
      assert all(dataset.data[i] == data[i] for i in range(len(data)))
  
  def test_save():
      """A DataSet object can be saved to a CSV, Pickle, or Matlab file."""
      a = DataSet(np.random.rand(8, 5))
      a.save('test.mat')
      assert exists('test.mat')
      os.remove('test.mat')
  
  def test_fromCSV():
      """A DataSet object can be constructed from a CSV file."""
      dataset = DataSet.fromCSV(full('left_8.csv'))
      assert dataset.shape == (14, 8)
  
  def test_fromPickle():
      """A DataSet object can be constructed from a Pickle file."""
      dataset = DataSet.fromPickle(full('left_8.pkl'))
      assert dataset.shape == (14, 8)
  
  def test_fromMatlab():
      """A DataSet object can be constructed from a Matlab file."""
      SCIPY_AVAILABLE = True
      try:
          import scipy
      except ImportError:
          SCIPY_AVAILABLE = False
      a = np.random.rand(8, 5)
      DataSet(a).save('test.mat')
      b = DataSet.fromMatlab('test.mat')
      if SCIPY_AVAILABLE:
          assert a.shape == b.shape
          os.remove('test.mat')
      else:
          assert len(b) == 0
  
  def test_fromWhatever():
      """A DataSet object can be constructed from a file."""
      dataset = DataSet.fromWhatever('left_8')
      assert dataset.shape == (14, 8)
  
  # def test_allSets():
  #     """The available datasets include the MNIST dataset
  #     and a downsampling the MNIST dataset."""
  #     datasets = DataSet.allSets()
  #     assert 'MNIST' in datasets
  #     assert 'small_MNIST' in datasets
  
  # def test_SmallerMNIST():
  #     """A downsampling of the MNIST dataset
  #     can be constructed from a file."""
  #     mnist = SmallerMNIST()
  #     assert mnist.data.shape == (60000, 49)
  
new_contents: import pytest
  import os
  import numpy as np
  
  import sys
  myPath = os.path.dirname(os.path.abspath(__file__))
  sys.path.insert(0, os.path.join(myPath, '..'))
  
  from DBNlogic.sets import exists, full, DataSet, MNIST, SmallerMNIST
  
  def test_existsTrue():
      """The function `exists` returns True if
      given the path of an existing file."""
      file = open('test.test', 'w+')
      file.close()
      assert exists('test.test')
      os.remove('test.test')
  
  def test_existsFalse():
      """The function `exists` returns False if
      given the path of an unexisting file."""
      assert exists('test.test') == False
  
  def test_DataSetConstructor():
      """A DataSet object can be constructed from an array."""
      data = [1, 2, 3, 4, 5, 6, 7]
      dataset = DataSet(data)
      assert all(dataset.data[i] == data[i] for i in range(len(data)))
  
  def test_save():
      """A DataSet object can be saved to a CSV, Pickle, or Matlab file."""
      a = DataSet(np.random.rand(8, 5))
      a.save('test.mat')
      if SCIPY_AVAILABLE:
          assert exists('test.mat')
          os.remove('test.mat')
  
  def test_fromCSV():
      """A DataSet object can be constructed from a CSV file."""
      dataset = DataSet.fromCSV(full('left_8.csv'))
      assert dataset.shape == (14, 8)
  
  def test_fromPickle():
      """A DataSet object can be constructed from a Pickle file."""
      dataset = DataSet.fromPickle(full('left_8.pkl'))
      assert dataset.shape == (14, 8)
  
  def test_fromMatlab():
      """A DataSet object can be constructed from a Matlab file."""
      SCIPY_AVAILABLE = True
      try:
          import scipy
      except ImportError:
          SCIPY_AVAILABLE = False
      a = np.random.rand(8, 5)
      DataSet(a).save('test.mat')
      b = DataSet.fromMatlab('test.mat')
      if SCIPY_AVAILABLE:
          assert a.shape == b.shape
          os.remove('test.mat')
      else:
          assert len(b) == 0
  
  def test_fromWhatever():
      """A DataSet object can be constructed from a file."""
      dataset = DataSet.fromWhatever('left_8')
      assert dataset.shape == (14, 8)
  
  # def test_allSets():
  #     """The available datasets include the MNIST dataset
  #     and a downsampling the MNIST dataset."""
  #     datasets = DataSet.allSets()
  #     assert 'MNIST' in datasets
  #     assert 'small_MNIST' in datasets
  
  # def test_SmallerMNIST():
  #     """A downsampling of the MNIST dataset
  #     can be constructed from a file."""
  #     mnist = SmallerMNIST()
  #     assert mnist.data.shape == (60000, 49)
  
subject: Update sets.py test for scipy