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import os, sys; sys.path.insert(0, os.path.dirname(os.path.dirname(__file__))) |
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import fnmatch |
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import numpy as np |
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import pytest |
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import lasio |
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from lasio import read, las |
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import logging |
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logger = logging.getLogger(__name__) |
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test_dir = os.path.dirname(__file__) |
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egfn = lambda fn: os.path.join(os.path.dirname(__file__), "examples", fn) |
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stegfn = lambda vers, fn: os.path.join( |
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os.path.dirname(__file__), "examples", vers, fn) |
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def test_version(): |
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assert '.' in lasio.__version__ |
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def test_keys_curve_mnemonics(): |
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l = lasio.read(egfn("sample.las")) |
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# DEPT.M : 1 DEPTH |
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# DT .US/M : 2 SONIC TRANSIT TIME |
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# RHOB.K/M3 : 3 BULK DENSITY |
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# NPHI.V/V : 4 NEUTRON POROSITY |
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# SFLU.OHMM : 5 RXO RESISTIVITY |
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# SFLA.OHMM : 6 SHALLOW RESISTIVITY |
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# ILM .OHMM : 7 MEDIUM RESISTIVITY |
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# ILD .OHMM : 8 DEEP RESISTIVITY |
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assert l.keys() == ['DEPT', 'DT', 'RHOB', 'NPHI', 'SFLU', 'SFLA', 'ILM', 'ILD'] |
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def test_LASFile_getitem(): |
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l = lasio.read(egfn("sample.las")) |
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assert np.all(l['DT'] == [123.45, 123.45, 123.45]) |
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def test_LASFile_getitem_int(): |
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l = lasio.read(egfn("sample.las")) |
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assert np.all(l[1] == [123.45, 123.45, 123.45]) |
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def test_LASFile_getitem_int_negative(): |
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l = lasio.read(egfn("sample.las")) |
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assert np.all(l[-2] == [110.2, 110.2, 110.2]) |
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def test_data_array_slice(): |
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l = lasio.read(egfn("sample.las")) |
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assert np.all(l[1] == l.data[:, 1]) |
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def test_curves_attribute(): |
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l = lasio.read(egfn("sample.las")) |
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assert isinstance(l.curves[1], las.CurveItem) |
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def test_get_curves_method(): |
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l = lasio.read(egfn("sample.las")) |
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assert l.get_curve('DT') == l.curves[1] |
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def test_missing_lasfile_mnemonic(): |
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las = lasio.read(egfn('sample.las')) |
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with pytest.raises(KeyError): |
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las['blahblahblah'] |
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def test_append_curve_and_item(): |
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las = lasio.LASFile() |
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data = [1, 2, 3] |
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las.append_curve('TEST1', data=data) |
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las.append_curve_item(lasio.CurveItem('TEST2', data=data)) |
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assert (las['TEST1'] == las['TEST2']).all() |
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def test_data_attr(): |
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las = lasio.LASFile() |
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las.append_curve('TEST1', data=[1, 2, 3]) |
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las.append_curve_item(lasio.CurveItem('TEST2', data=[4, 5, 6])) |
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las.append_curve('TEST3', data=[7, 8, 9]) |
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logger.debug('las.data = {}'.format(las.data)) |
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# the .all() method assumes these are numpy ndarrays; that should be the case. |
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assert (las.data == np.asarray([[1, 4, 7], [2, 5, 8], [3, 6, 9]])).all() |
kinverarity1 /
lasio
