old_contents: import pandas
  import numpy as np
  
  from pathfinding.core.diagonal_movement import DiagonalMovement
  from pathfinding.core.grid import Grid
  from pathfinding.finder.a_star import AStarFinder
  
  def _find(matrix):
      grid = Grid(matrix=matrix)
      print(matrix)
  
      start = grid.node(0, 0)
      end = grid.node(2, 4)
  
      finder = AStarFinder(diagonal_movement=DiagonalMovement.never)
      path, runs = finder.find_path(start, end, grid)
  
      print('operations:', runs, 'path length:', len(path))
      print(grid.grid_str(path=path, start=start, end=end))
  
      assert path == [(0, 0), (0, 1), (1, 1), (1, 2), (1, 3), (1, 4), (2, 4)]
      assert len(path) == 7
  
  def test_csv_pandas_str():
      """
      test to load a csv file using pandas (as string).
      """
      _find(np.array(pandas.io.parsers.read_csv("csv_file.csv")).astype("str"))
  
  def test_csv_pandas_int():
      """
      test to load a csv file using pandas (as int).
      """
      _find(np.array(pandas.io.parsers.read_csv("csv_file.csv")).astype("int"))
  
new_contents: import os
  import pandas
  import numpy as np
  
  from pathfinding.core.diagonal_movement import DiagonalMovement
  from pathfinding.core.grid import Grid
  from pathfinding.finder.a_star import AStarFinder
  
  BASE_PATH = os.path.abspath(os.path.dirname(__file__))
  CSV_FILE = os.path.join(BASE_PATH, 'csv_file.csv')
  
  def _find(matrix):
      grid = Grid(matrix=matrix)
      print(matrix)
  
      start = grid.node(0, 0)
      end = grid.node(2, 4)
  
      finder = AStarFinder(diagonal_movement=DiagonalMovement.never)
      path, runs = finder.find_path(start, end, grid)
  
      print('operations:', runs, 'path length:', len(path))
      print(grid.grid_str(path=path, start=start, end=end))
  
      assert path == [(0, 0), (0, 1), (1, 1), (1, 2), (1, 3), (1, 4), (2, 4)]
      assert len(path) == 7
  
  def test_csv_pandas_str():
      """
      test to load a csv file using pandas (as string).
      """
      _find(np.array(pandas.io.parsers.read_csv(CSV_FILE)).astype("str"))
  
  def test_csv_pandas_int():
      """
      test to load a csv file using pandas (as int).
      """
      _find(np.array(pandas.io.parsers.read_csv(CSV_FILE)).astype("int"))
  
subject: use full path of csv-file for travis