old_contents: import os, sys; sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
  
  import fnmatch
  
  import numpy
  import pytest
  
  from lasio import las, read
  
  
  test_dir = os.path.dirname(__file__)
  
  egfn = lambda fn: os.path.join(os.path.dirname(__file__), "examples", fn)
  stegfn = lambda vers, fn: os.path.join(
      os.path.dirname(__file__), "examples", vers, fn)
  
  
  def test_autodepthindex():
      m = read(egfn("autodepthindex_M.las"))
      f = read(egfn("autodepthindex_F.las"))
      ft = read(egfn("autodepthindex_FT.las"))
      err = read(egfn("autodepthindex_M_FT.las"))
  
  
  def test_autodepthindex_inconsistent():
      err = read(egfn("autodepthindex_M_FT.las"))
      with pytest.raises(las.LASUnknownUnitError):
          print(err.depth_m)
  
  
  def test_autodepthindex_m():
      l = read(egfn("autodepthindex_M.las"))
      assert (l.depth_ft[-1] * 0.3048 == l.index[-1])
  
  
  def test_autodepthindex_f():
      l = read(egfn("autodepthindex_F.las"))
      assert (l.depth_m[-1] / 0.3048 == l.index[-1])
  
  
  def test_autodepthindex_ft():
      l = read(egfn("autodepthindex_FT.las"))
      assert (l.depth_m[-1] / 0.3048 == l.index[-1])
  
  def test_df_indexing():
      l = read(egfn("6038187_v1.2.las"), use_pandas=True)
      metres = 9.05
      spacing = l.well["STEP"].value
      calc_index = (metres / spacing) - (l.well["STRT"].value / spacing)
      assert l["GAMN"][calc_index] == l.df.GAMN[metres]
  
  def test_use_pandas_False():
      l = read(egfn("6038187_v1.2.las"), use_pandas=False)
      l.df
      assert True
  
  # TODO: make above test in reverse-ordered LAS (e.g. STRT > STOP)
  def test_df_reverse():
      l = read(egfn("sample_rev.las"), use_pandas=True)
      metres = 1667
      spacing = l.well["STEP"].value
      calc_index = (metres / spacing) - (l.well["STRT"].value / spacing)
      assert l["DT"][calc_index] == l.df.DT[metres]
  
new_contents: import os, sys; sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
  
  import fnmatch
  
  import numpy
  import pytest
  
  from lasio import las, read
  
  
  test_dir = os.path.dirname(__file__)
  
  egfn = lambda fn: os.path.join(os.path.dirname(__file__), "examples", fn)
  stegfn = lambda vers, fn: os.path.join(
      os.path.dirname(__file__), "examples", vers, fn)
  
  
  def test_autodepthindex():
      m = read(egfn("autodepthindex_M.las"))
      f = read(egfn("autodepthindex_F.las"))
      ft = read(egfn("autodepthindex_FT.las"))
      err = read(egfn("autodepthindex_M_FT.las"))
  
  
  def test_autodepthindex_inconsistent():
      err = read(egfn("autodepthindex_M_FT.las"))
      with pytest.raises(las.LASUnknownUnitError):
          print(err.depth_m)
  
  
  def test_autodepthindex_m():
      l = read(egfn("autodepthindex_M.las"))
      assert (l.depth_ft[-1] * 0.3048 == l.index[-1])
  
  
  def test_autodepthindex_f():
      l = read(egfn("autodepthindex_F.las"))
      assert (l.depth_m[-1] / 0.3048 == l.index[-1])
  
  
  def test_autodepthindex_ft():
      l = read(egfn("autodepthindex_FT.las"))
      assert (l.depth_m[-1] / 0.3048 == l.index[-1])
  
  def test_df_indexing():
      l = read(egfn("6038187_v1.2.las"), use_pandas=True)
      metres = 9.05
      spacing = l.well["STEP"].value
      calc_index = (metres / spacing) - (l.well["STRT"].value / spacing)
      assert l["GAMN"][calc_index] == l.df.GAMN[metres]
  
  def test_use_pandas_False():
      l = read(egfn("6038187_v1.2.las"), use_pandas=False)
      l.df
      assert True
  
  # TODO: make above test in reverse-ordered LAS (e.g. STRT > STOP)
  def test_df_reverse():
      l = read(egfn("sample_rev.las"), use_pandas=True)
      metres = 1667
      spacing = l.well["STEP"].value
      calc_index = (metres / spacing) - (l.well["STRT"].value / spacing)
      assert l["DT"][calc_index] == l.df.DT[metres]
  
  def test_df_curve_names():
      l = read(egfn("sample_rev.las"), use_pandas=True)
      assert l.keys() == list(l.df.columns.values)
subject: Add test that .df has all the curve names