Loading appveyor.yml +1 −1 Original line number Diff line number Diff line Loading @@ -40,7 +40,7 @@ install: - cmd: conda create -q -n test_env python=%PYTHON_VERSION% - cmd: activate test_env - cmd: conda config --add channels conda-forge - cmd: conda install -c conda-forge pvl protobuf gdal numpy pandas sqlalchemy pyyaml networkx affine h5py scipy - cmd: conda install -c conda-forge pvl protobuf gdal numpy pandas sqlalchemy pyyaml networkx affine h5py scipy pyproj - cmd: conda install -c conda-forge pytest pytest-cov # https://pythonhosted.org/CodeChat/appveyor.yml.html - cmd: python -m pip install -U pip Loading plio/spatial/__init__.py 0 → 100644 +0 −0 Empty file added. plio/spatial/tests/test_transformations.py 0 → 100644 +74 −0 Original line number Diff line number Diff line import pytest from plio.examples import get_path from plio.spatial import transformations as trans @pytest.mark.parametrize("stat, expected", [({'stat':0}, True), ({'stat':1}, False), ({'stat':True}, False), # Is this the desired result? ({'stat':False}, True)]) def test_stat_toggle(stat, expected): assert trans.stat_toggle(stat) == expected @pytest.mark.parametrize("stat, expected", [({'stat':True}, 0), ({'stat':False}, 1), ({'stat':False}, True), # Is this the desired result? ({'stat':True}, False)]) def test_ignore_toggle(stat, expected): assert trans.ignore_toggle(stat) == expected def test_get_axis(): fname = get_path('CTX_Athabasca_Middle.prj') erad, prad = trans.get_axis(fname) assert erad == 3.39619000000000e+006 assert prad == 3.3762000000000866e+006 @pytest.mark.parametrize("og, major, minor, oc", [(0, 3396190, 3376200, 0), (90, 3396190, 3376200, 90), (-90, 3396190, 3376200, -90), (45, 3396190, 3376200, 44.6617680)]) def test_og2oc(og, major, minor, oc): assert trans.og2oc(og, major, minor) == pytest.approx(oc) @pytest.mark.parametrize("og, major, minor, oc", [(0, 3396190, 3376200, 0), (90, 3396190, 3376200, 90), (-90, 3396190, 3376200, -90), (45.338231, 3396190, 3376200, 45)]) def test_oc2og(og, major, minor, oc): assert trans.oc2og(oc, major, minor) == pytest.approx(og) @pytest.mark.parametrize("known, expected", [({'known':0},'Free'), ({'known':1},'Constrained'), ({'known':2},'Constrained'), ({'known':3},'Constrained'), ({'known':False},'Free'), # Is this the desired result? ({'known':True},'Constrained')]) def test_known(known, expected): assert trans.known(known) == expected @pytest.mark.parametrize("known, expected", [({'known':0},0), ({'known':2},0), ({'known':1},3), ({'known':3},3), ({'known':4},3), ({'known':False},0), # Is this the desired result? ({'known':True},3)]) def test_known(known, expected): assert trans.reverse_known(known) == expected @pytest.mark.parametrize("num, expected", [(0, 0), (-180, 180), (370, 10), (-90, 270), (90, 90)]) def test_to_360(num, expected): assert trans.to_360(num) == expected No newline at end of file plio/spatial/transformations.py +28 −24 Original line number Diff line number Diff line Loading @@ -64,11 +64,35 @@ def known(record): : str String representation of a known field """ if record['known'] == 0: return 'Free' elif record['known'] == 1 or record['known'] == 2 or record['known'] == 3: return 'Constrained' lookup = {0: 'Free', 1: 'Constrained', 2: 'Constrained', 3: 'Constrained'} return lookup[record['known']] def reverse_known(record): """ Converts the known field from an isis dataframe into the socet known column Parameters ---------- record : object Pandas series object Returns ------- : str String representation of a known field """ lookup = {0:0, 2:0, 1:3, 3:3, 4:3} record_type = record['known'] return lookup[record_type] def to_360(num): """ Loading Loading @@ -393,27 +417,7 @@ def compute_cov_matrix(record, semimajor_axis): cov_matrix = compute_sigma_covariance_matrix(record['lat_Y_North'], record['long_X_East'], record['ht'], record['sig0'], record['sig1'], record['sig2'], semimajor_axis) return cov_matrix.ravel().tolist() def reverse_known(record): """ Converts the known field from an isis dataframe into the socet known column Parameters ---------- record : object Pandas series object Returns ------- : str String representation of a known field """ record_type = record['known'] if record_type == 0 or record_type == 2: return 0 elif record_type == 1 or record_type == 3 or record_type == 4: return 3 def fix_sample_line(record, serial_dict, cub_dict): """ Loading Loading
appveyor.yml +1 −1 Original line number Diff line number Diff line Loading @@ -40,7 +40,7 @@ install: - cmd: conda create -q -n test_env python=%PYTHON_VERSION% - cmd: activate test_env - cmd: conda config --add channels conda-forge - cmd: conda install -c conda-forge pvl protobuf gdal numpy pandas sqlalchemy pyyaml networkx affine h5py scipy - cmd: conda install -c conda-forge pvl protobuf gdal numpy pandas sqlalchemy pyyaml networkx affine h5py scipy pyproj - cmd: conda install -c conda-forge pytest pytest-cov # https://pythonhosted.org/CodeChat/appveyor.yml.html - cmd: python -m pip install -U pip Loading
plio/spatial/tests/test_transformations.py 0 → 100644 +74 −0 Original line number Diff line number Diff line import pytest from plio.examples import get_path from plio.spatial import transformations as trans @pytest.mark.parametrize("stat, expected", [({'stat':0}, True), ({'stat':1}, False), ({'stat':True}, False), # Is this the desired result? ({'stat':False}, True)]) def test_stat_toggle(stat, expected): assert trans.stat_toggle(stat) == expected @pytest.mark.parametrize("stat, expected", [({'stat':True}, 0), ({'stat':False}, 1), ({'stat':False}, True), # Is this the desired result? ({'stat':True}, False)]) def test_ignore_toggle(stat, expected): assert trans.ignore_toggle(stat) == expected def test_get_axis(): fname = get_path('CTX_Athabasca_Middle.prj') erad, prad = trans.get_axis(fname) assert erad == 3.39619000000000e+006 assert prad == 3.3762000000000866e+006 @pytest.mark.parametrize("og, major, minor, oc", [(0, 3396190, 3376200, 0), (90, 3396190, 3376200, 90), (-90, 3396190, 3376200, -90), (45, 3396190, 3376200, 44.6617680)]) def test_og2oc(og, major, minor, oc): assert trans.og2oc(og, major, minor) == pytest.approx(oc) @pytest.mark.parametrize("og, major, minor, oc", [(0, 3396190, 3376200, 0), (90, 3396190, 3376200, 90), (-90, 3396190, 3376200, -90), (45.338231, 3396190, 3376200, 45)]) def test_oc2og(og, major, minor, oc): assert trans.oc2og(oc, major, minor) == pytest.approx(og) @pytest.mark.parametrize("known, expected", [({'known':0},'Free'), ({'known':1},'Constrained'), ({'known':2},'Constrained'), ({'known':3},'Constrained'), ({'known':False},'Free'), # Is this the desired result? ({'known':True},'Constrained')]) def test_known(known, expected): assert trans.known(known) == expected @pytest.mark.parametrize("known, expected", [({'known':0},0), ({'known':2},0), ({'known':1},3), ({'known':3},3), ({'known':4},3), ({'known':False},0), # Is this the desired result? ({'known':True},3)]) def test_known(known, expected): assert trans.reverse_known(known) == expected @pytest.mark.parametrize("num, expected", [(0, 0), (-180, 180), (370, 10), (-90, 270), (90, 90)]) def test_to_360(num, expected): assert trans.to_360(num) == expected No newline at end of file
plio/spatial/transformations.py +28 −24 Original line number Diff line number Diff line Loading @@ -64,11 +64,35 @@ def known(record): : str String representation of a known field """ if record['known'] == 0: return 'Free' elif record['known'] == 1 or record['known'] == 2 or record['known'] == 3: return 'Constrained' lookup = {0: 'Free', 1: 'Constrained', 2: 'Constrained', 3: 'Constrained'} return lookup[record['known']] def reverse_known(record): """ Converts the known field from an isis dataframe into the socet known column Parameters ---------- record : object Pandas series object Returns ------- : str String representation of a known field """ lookup = {0:0, 2:0, 1:3, 3:3, 4:3} record_type = record['known'] return lookup[record_type] def to_360(num): """ Loading Loading @@ -393,27 +417,7 @@ def compute_cov_matrix(record, semimajor_axis): cov_matrix = compute_sigma_covariance_matrix(record['lat_Y_North'], record['long_X_East'], record['ht'], record['sig0'], record['sig1'], record['sig2'], semimajor_axis) return cov_matrix.ravel().tolist() def reverse_known(record): """ Converts the known field from an isis dataframe into the socet known column Parameters ---------- record : object Pandas series object Returns ------- : str String representation of a known field """ record_type = record['known'] if record_type == 0 or record_type == 2: return 0 elif record_type == 1 or record_type == 3 or record_type == 4: return 3 def fix_sample_line(record, serial_dict, cub_dict): """ Loading