content: #
  # Copyright 2015 Quantopian, Inc.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  import random
  
  import pandas as pd
  import numpy as np
  from numpy.testing import assert_almost_equal
  from unittest import TestCase
  from zipline.utils.munge import bfill, ffill
  
  
  class MungeTests(TestCase):
      def test_bfill(self):
          # test ndim=1
          N = 100
          s = pd.Series(np.random.randn(N))
          mask = random.sample(range(N), 10)
          s.iloc[mask] = np.nan
  
          correct = s.bfill().values
          test = bfill(s.values)
          assert_almost_equal(correct, test)
  
          # test ndim=2
          df = pd.DataFrame(np.random.randn(N, N))
          df.iloc[mask] = np.nan
          correct = df.bfill().values
          test = bfill(df.values)
          assert_almost_equal(correct, test)
  
      def test_ffill(self):
          # test ndim=1
          N = 100
          s = pd.Series(np.random.randn(N))
          mask = random.sample(range(N), 10)
          s.iloc[mask] = np.nan
  
          correct = s.ffill().values
          test = ffill(s.values)
          assert_almost_equal(correct, test)
  
          # test ndim=2
          df = pd.DataFrame(np.random.randn(N, N))
          df.iloc[mask] = np.nan
          correct = df.ffill().values
          test = ffill(df.values)
          assert_almost_equal(correct, test)
  