old_contents: from datetime import datetime
  
  import numpy as np
  import pytest
  
  from eniric.resample import log_resample
  
new_contents: from datetime import datetime
  
  import numpy as np
  import pytest
  
  
  from eniric.resample import log_resample, my_logspace
  
  
  @pytest.mark.parametrize("wav_start, wav_stop", [(2.1, 2.2), (1657.11, 1695)])
  @pytest.mark.parametrize("sampling", [2, 5])
  @pytest.mark.parametrize("resolution", [20000, 100001])
  def test_log_resample(wav_start, wav_stop, sampling, resolution):
      wav = np.linspace(wav_start, wav_stop, 50)
  
      resampled = log_resample(wav, sampling, resolution)
  
      assert resampled[0] == wav[0]
      assert resampled[-1] >= wav[-1]
      assert np.allclose(
          resampled[1:] / resampled[:-1],
          np.ones_like(resampled[:-1]) * (1 + 1 / (sampling * resolution)),
      )
  
  
  @pytest.fixture(params=[(1, 1.1, 1.01), (1, 10, 1.25)])
  def logspace_params(request):
      return request.param
  
  
  def test_my_logspace_endpoint(logspace_params):
      start, stop, base = logspace_params
      resample1 = my_logspace(start, stop, base=base, end_point=False)
      resample2 = my_logspace(start, stop, base=base, end_point=True)
  
      assert len(resample1) < len(resample2)
  
      assert resample1[-1] < stop
      assert resample2[-1] >= stop
      assert resample2[-1] < stop * base ** 2  # Not big
  
  
  def test_my_logspace_increases_by_bnd(logspace_params):
      start, stop, base = logspace_params
      resample1 = my_logspace(start, stop, base=base, end_point=False)
      assert np.allclose(
          resample1[1:] / resample1[:-1], base * np.ones_like(resample1[:-1])
      )
  
subject: Update test_resample.py