def test_3d_eptm_cell_getter_setter():
datasets_2d, specs = three_faces_sheet()
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets)
assert eptm.cell_df is not None
datasets_3d = extrude(datasets_2d, method='translation')
eptm.cell_df = datasets_3d['cell']
for key in eptm.cell_df:
assert key in datasets_3d['cell']
def test_scale():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d, method='translation')
initial_cell_df = pd.DataFrame.from_dict({'cell':[0,1,2],\
'x':[0.5, -1.0, 0.5],\
'y':[8.660000e-01,-6.167906e-18,-8.6600000e-01],\
'z':[-0.5, -0.5, -0.5],\
'is_alive':[True, True, True],
'num_faces':[8,8,8],
'vol':[2.598,2.598,2.598]}).set_index('cell')
x10_cell_df = pd.DataFrame.from_dict({'cell':[0,1,2],\
'x':[5., -10.0, 5.],\
'y':[8.660000e+00,-6.167906e-17,-8.6600000e+00],\
'z':[-5., -5., -5.],\
'is_alive':[True, True, True],
'num_faces':[8,8,8],
'vol':[2.598,2.598,2.598]}).set_index('cell')
eptm = Epithelium('test_volume',datasets, specs, coords=['x','y','z'])
BulkGeometry.update_all(eptm)
scale(eptm, delta = 10.0, coords= ['x','y','z'])
tolerance = 1e-16
assert all( (x10_cell_df[['x','y','z']] - eptm.cell_df[['x', 'y', 'z']])**2 < 1e-16)
def test_summation():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets, specs)
eptm_2d = Epithelium('3faces_2D', datasets_2d, specs)
edge_copy = datasets['edge'].copy()
edge_copy.index = eptm.edge_mindex
assert_array_equal(edge_copy.sum(level='cell'),
eptm.sum_cell(eptm.edge_df))
eptm_2d.edge_df['test_sum'] = np.linspace(1, eptm_2d.Ne, eptm_2d.Ne)
res_sum_srce = eptm_2d.sum_srce(eptm_2d.edge_df['test_sum'])
expected_sum_srce = pd.Series([
21.0, 20.0, 3.0, 4.0, 5.0, 14.0, 9.0, 10.0, 11.0, 26.0, 15.0, 16.0,
17.0
])
res_sum_trgt = eptm_2d.sum_trgt(eptm_2d.edge_df['test_sum'])
expected_sum_trgt = pd.Series([
36.0, 18.0, 2.0, 3.0, 4.0, 12.0, 8.0, 9.0, 10.0, 24.0, 14.0, 15.0, 16.0
])
res_sum_face = eptm_2d.sum_face(eptm_2d.edge_df['test_sum'])
expected_sum_face = pd.Series([21.0, 57.0, 93.0])
assert (expected_sum_srce == res_sum_srce).all()
assert (expected_sum_trgt == res_sum_trgt).all()
assert (expected_sum_face == res_sum_face).all()
def test_extrude_invalid_method():
datasets, specs = generation.three_faces_sheet()
with raises(
ValueError,
msg=
'Expecting a ValueError : method should be \'translation\' or \'homothecy\''
):
datasets_3d = extrude(datasets, method='invalid_method')
def test_extrude():
datasets, specs = generation.three_faces_sheet()
sheet = Sheet('test', datasets, specs)
extruded = extrude(sheet.datasets, method='translation')
assert extruded['cell'].shape[0] == 3
assert extruded['face'].shape[0] == 24
assert extruded['edge'].shape[0] == 108
assert extruded['vert'].shape[0] == 26
def test_upcast():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets, specs)
eptm_2d = Epithelium('3faces_2D', datasets_2d, specs)
expected_res = datasets['vert'].loc[eptm.e_cell_idx]
expected_res.index = eptm.edge_df.index
assert_array_equal(expected_res, eptm.upcast_cell(datasets['vert']))
def test_number_getters():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets, specs)
eptm_2d = Epithelium('3faces_2D', datasets_2d, specs)
assert eptm.Nc == datasets['cell'].shape[0]
assert eptm.Nv == datasets['vert'].shape[0]
assert eptm.Nf == datasets['face'].shape[0]
assert eptm.Ne == datasets['edge'].shape[0]
def test_orbits():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets, specs)
eptm_2d = Epithelium('3faces_2D', datasets_2d, specs)
expected_res_cell = datasets['edge'].groupby('srce').apply(
lambda df: df['cell'])
expected_res_face = datasets['edge'].groupby('face').apply(
lambda df: df['trgt'])
assert_array_equal(expected_res_cell, eptm.get_orbits('srce', 'cell'))
assert_array_equal(expected_res_face, eptm.get_orbits('face', 'trgt'))
def test_bulk_update_vol():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d, method='translation')
eptm = Epithelium('test_volume',datasets, specs, coords=['x','y','z'])
BulkGeometry.update_all(eptm)
expected_cell_df = pd.DataFrame.from_dict({'cell':[0,1,2],\
'x':[0.5, -1.0, 0.5],\
'y':[8.660000e-01,-6.167906e-18,-8.6600000e-01],\
'z':[-0.5, -0.5, -0.5],\
'is_alive':[True, True, True],
'num_faces':[8,8,8],
'vol':[2.598,2.598,2.598]}).set_index('cell')
expected_face_centroids = pd.DataFrame.from_dict({'face':list(range(24)),\
'x':[0.5, -1.0, 0.5, 0.5, -1.0, 0.5, 0.5,\
1.25, 1.25, 0.5, -0.25, -0.25, \
-0.25, -1.0, -1.75, -1.75, -1.0, \
-0.25, -0.25, -0.25, 0.5, 1.25, \
1.25, 0.5],\
'y':[0.86599999999999999, 0.0,\
-0.86599999999999999, \
0.86599999999999999, 0.0,\
-0.86599999999999999, 0.0, 0.433,\
1.2989999999999999, 1.732,\
1.2989999999999999, 0.433, 0.433,\
0.86599999999999999, 0.433, -0.433,\
-0.86599999999999999, -0.433, -0.433,\
-1.2989999999999999, -1.732, \
-1.2989999999999999, -0.433, 0.0],\
'z':[0.0, 0.0, 0.0, -1.0, -1.0, -1.0, \
-0.5, -0.5, -0.5, -0.5, -0.5, \
-0.5, -0.5, -0.5, -0.5, -0.5, \
-0.5, -0.5, -0.5, -0.5, -0.5, \
-0.5, -0.5, -0.5]}).set_index('face')
## only update class methods in BulkGeometry : update_vol, update_centroids
tolerance = 1e-16
## check volumes
assert all( (expected_cell_df['vol'] - eptm.cell_df['vol'])**2 < tolerance)
## check centroids
assert all( (expected_face_centroids - eptm.face_df.loc[:, ['x','y','z']])**2 < tolerance )
def test_idx_getters():
datasets_2d, specs = three_faces_sheet()
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets)
#assert len(eptm.edge_idx.difference(datasets['edge'].index)) == 0
assert len(eptm.face_idx.difference(datasets['face'].index)) == 0
assert len(eptm.vert_idx.difference(datasets['vert'].index)) == 0
assert len(eptm.cell_idx.difference(datasets['cell'].index)) == 0
assert len(eptm.e_cell_idx.index.difference(
datasets['edge']['cell'].index)) == 0
edge_idx_array = np.vstack((datasets['edge']['srce'],\
datasets['edge']['trgt'],\
datasets['edge']['face'])).T
assert_array_equal(eptm.edge_idx_array, edge_idx_array)
def test_update():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d, method='translation')
initial_cell_df = pd.DataFrame.from_dict({'cell':[0,1,2],\
'x':[0.5, -1.0, 0.5],\
'y':[8.660000e-01,-6.167906e-18,-8.6600000e-01],\
'z':[-0.5, -0.5, -0.5],\
'is_alive':[True, True, True],
'num_faces':[8,8,8],
'vol':[2.598,2.598,2.598]}).set_index('cell')
eptm = Epithelium('test_volume',datasets, specs, coords=['x','y','z'])
BulkGeometry.update_all(eptm)
def test_cut_out():
datasets_2d, specs = three_faces_sheet()
datasets = extrude(datasets_2d, method='translation')
eptm = Epithelium('3faces_3D', datasets)
eptm_ordered = eptm.copy(deep_copy=True)
bounding_box_xy = np.array([[-1., 10.], [-1.5, 1.5]])
bounding_box_yx = np.array([[-1.5, 1.5], [-1.0, 10.]])
bounding_box_xyz = np.array([[-10., 10.], [-1.5, 10.], [-2., 1.]])
expected_index_xy = pd.Index([ 2, 3, 4, 7, 8, 9, 10, 13, 14, 15,\
20, 21, 22, 25, 26, 27, 28, 31, 32, \
33, 44, 46, 47, 48, 49, 50, 51, 52, \
53, 54, 64, 66, 67, 68, 69, 70, 71, \
72, 73, 74, 75, 76, 77, 78, 88, 90, \
91, 92, 93, 94, 95, 96, 97, 98],\
name='edge',dtype='int64')
expected_index_xyz = pd.Index([13, 14, 15, 31, 32, 33, 88, 90, 91, \
92, 93, 94, 95, 96, 97, 98],\
name='edge',dtype='int64')
# test 2-coords, ordered
res = eptm.cut_out(bbox=bounding_box_xy, coords=['x', 'y'])
assert len(res) == len(expected_index_xy)
assert (res == expected_index_xy).all()
# test 2-coords, inverse order
res = eptm.cut_out(bbox=bounding_box_yx, coords=['y', 'x'])
assert len(res) == len(expected_index_xy)
assert (res == expected_index_xy).all()
# test 3-coords
res = eptm.cut_out(bbox=bounding_box_xyz, coords=['x', 'y', 'z'])
assert len(res) == len(expected_index_xyz)
assert (res == expected_index_xyz).all()
# test default coords argument
res = eptm.cut_out(bbox=bounding_box_xy)
assert len(res) == len(expected_index_xy)
assert (res == expected_index_xy).all()
def test_IH_transition():
sheet = Sheet.planar_sheet_3d('sheet', 5, 5, 1, 1)
sheet.sanitize()
datasets = extrude(sheet.datasets, method='translation')
eptm = Epithelium('test_IHt', datasets, bulk_spec())
BulkGeometry.update_all(eptm)
Nc, Nf, Ne, Nv = eptm.Nc, eptm.Nf, eptm.Ne, eptm.Nv
eptm.settings['threshold_length'] = 1e-3
IH_transition(eptm, 26)
BulkGeometry.update_all(eptm)
assert eptm.Nc == Nc
assert eptm.Nf == Nf + 2
assert eptm.Ne == Ne + 12
assert eptm.Nv == Nv + 1
invalid = eptm.get_invalid()
assert np.alltrue(1 - invalid)
assert np.alltrue(eptm.edge_df['sub_vol'] > 0)
def test_subdivide():
datasets, specs = generation.three_faces_sheet()
sheet = Sheet('test', datasets, specs)
subdivided = subdivide_faces(sheet, [
0,
])
assert subdivided['face'].shape[0] == 3
assert subdivided['edge'].shape[0] == 30
assert subdivided['vert'].shape[0] == 14
datasets_3d = extrude(datasets, method="translation")
sheet_3d = Sheet('test3d', datasets_3d, specs)
subdivided_3d = subdivide_faces(sheet_3d, [
0,
])
assert subdivided_3d['face'].shape[0] == 24
assert subdivided_3d['edge'].shape[0] == 120
assert subdivided_3d['vert'].shape[0] == 27
assert subdivided_3d['cell'].shape[0] == 3
def test_polygons():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d)
eptm = Epithelium('3faces_3D', datasets, specs)
eptm_2d = Epithelium('3faces_2D', datasets_2d, specs)
dict_expected_res = {
0: [[0.0, 0.0, 0.0], [1.0, 0.0, 0.0], [1.5, 0.86599999999999999, 0.0],
[1.0, 1.732, 0.0], [0.0, 1.732, 0.0],
[-0.5, 0.86599999999999999, 0.0]],
1: [[0.0, 0.0, 0.0], [-0.5, 0.86599999999999999, 0.0],
[-1.5, 0.86599999999999999, 0.0], [-2.0, 0.0, 0.0],
[-1.5, -0.86599999999999999, 0.0],
[-0.5, -0.86599999999999999, 0.0]],
2: [[0.0, 0.0, 0.0], [-0.5, -0.86599999999999999, 0.0],
[0.0, -1.732, 0.0], [1.0, -1.732, 0.0],
[1.5, -0.86599999999999999, 0.0], [1.0, 0.0, 0.0]],
3: [[0.33333333333333331, 0.0, 0.0], [0.0, 0.0, 0.0],
[-0.16666666666666666, 0.28866666666666663, 0.0],
[0.0, 0.57733333333333325, 0.0],
[0.33333333333333331, 0.57733333333333325, 0.0],
[0.5, 0.28866666666666663, 0.0]],
4: [[-0.16666666666666666, 0.28866666666666663, 0.0], [0.0, 0.0, 0.0],
[-0.16666666666666666, -0.28866666666666663, 0.0],
[-0.5, -0.28866666666666663,
0.0], [-0.66666666666666663, 0.0, 0.0],
[-0.5, 0.28866666666666663, 0.0]],
5: [[-0.16666666666666666, -0.28866666666666663, 0.0], [0.0, 0.0, 0.0],
[0.33333333333333331, 0.0, 0.0], [0.5, -0.28866666666666663, 0.0],
[0.33333333333333331, -0.57733333333333325, 0.0],
[0.0, -0.57733333333333325, 0.0]],
6: [[1.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0],
[0.33333333333333331, 0.0, 0.0]],
7: [[1.5, 0.86599999999999999, 0.0], [1.0, 0.0, 0.0],
[0.33333333333333331, 0.0, 0.0], [0.5, 0.28866666666666663, 0.0]],
8: [[1.0, 1.732, 0.0], [1.5, 0.86599999999999999, 0.0],
[0.5, 0.28866666666666663, 0.0],
[0.33333333333333331, 0.57733333333333325, 0.0]],
9: [[0.0, 1.732, 0.0], [1.0, 1.732, 0.0],
[0.33333333333333331, 0.57733333333333325, 0.0],
[0.0, 0.57733333333333325, 0.0]],
10: [[-0.5, 0.86599999999999999, 0.0], [0.0, 1.732, 0.0],
[0.0, 0.57733333333333325, 0.0],
[-0.16666666666666666, 0.28866666666666663, 0.0]],
11: [[0.0, 0.0, 0.0], [-0.5, 0.86599999999999999, 0.0],
[-0.16666666666666666, 0.28866666666666663, 0.0], [0.0, 0.0,
0.0]],
12: [[-0.5, 0.86599999999999999, 0.0], [0.0, 0.0,
0.0], [0.0, 0.0, 0.0],
[-0.16666666666666666, 0.28866666666666663, 0.0]],
13: [[-1.5, 0.86599999999999999, 0.0],
[-0.5, 0.86599999999999999, 0.0],
[-0.16666666666666666, 0.28866666666666663, 0.0],
[-0.5, 0.28866666666666663, 0.0]],
14: [[-2.0, 0.0, 0.0], [-1.5, 0.86599999999999999, 0.0],
[-0.5, 0.28866666666666663, 0.0],
[-0.66666666666666663, 0.0, 0.0]],
15: [[-1.5, -0.86599999999999999, 0.0], [-2.0, 0.0, 0.0],
[-0.66666666666666663, 0.0, 0.0],
[-0.5, -0.28866666666666663, 0.0]],
16: [[-0.5, -0.86599999999999999, 0.0],
[-1.5, -0.86599999999999999, 0.0],
[-0.5, -0.28866666666666663, 0.0],
[-0.16666666666666666, -0.28866666666666663, 0.0]],
17: [[0.0, 0.0, 0.0], [-0.5, -0.86599999999999999, 0.0],
[-0.16666666666666666, -0.28866666666666663, 0.0],
[0.0, 0.0, 0.0]],
18: [[-0.5, -0.86599999999999999, 0.0], [0.0, 0.0,
0.0], [0.0, 0.0, 0.0],
[-0.16666666666666666, -0.28866666666666663, 0.0]],
19: [[0.0, -1.732, 0.0], [-0.5, -0.86599999999999999, 0.0],
[-0.16666666666666666, -0.28866666666666663, 0.0],
[0.0, -0.57733333333333325, 0.0]],
20: [[1.0, -1.732, 0.0], [0.0, -1.732, 0.0],
[0.0, -0.57733333333333325, 0.0],
[0.33333333333333331, -0.57733333333333325, 0.0]],
21: [[1.5, -0.86599999999999999, 0.0], [1.0, -1.732, 0.0],
[0.33333333333333331, -0.57733333333333325, 0.0],
[0.5, -0.28866666666666663, 0.0]],
22: [[1.0, 0.0, 0.0], [1.5, -0.86599999999999999, 0.0],
[0.5, -0.28866666666666663, 0.0], [0.33333333333333331, 0.0,
0.0]],
23: [[0.0, 0.0, 0.0], [1.0, 0.0, 0.0], [0.33333333333333331, 0.0, 0.0],
[0.0, 0.0, 0.0]]
}
expected_res = pd.Series(dict_expected_res)
## test standard on a 3d-epithelium
res = eptm.face_polygons(['x', 'y', 'z'])
assert all([(expected_res[i] == res[i]).all()
for i in range(res.shape[0])])
def test_mono_update_perimeters():
datasets_2d, specs = three_faces_sheet(zaxis=True)
datasets = extrude(datasets_2d, method='translation')
eptm = Epithelium('test_volume',datasets, specs, coords=['x','y','z'])
def test_remove():
datasets, specs = three_faces_sheet()
datasets = extrude(datasets, method="translation")
eptm = Epithelium('3Faces_3D', datasets, specs)
dict_before = {'srce': {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: \
0, 7: 5, 8: 6, 9: 7, 10: 8, 11: 9, 12: \
0, 13: 9, 14: 10, 15: 11, 16: 12, 17: \
1, 18: 14, 19: 15, 20: 16, 21: 17, 22: \
18, 23: 13, 24: 18, 25: 19, 26: 20, 27:\
21, 28: 22, 29: 13, 30: 22, 31: 23, 32:\
24, 33: 25, 34: 14, 35: 13, 36: 1, 37: 0,\
38: 13, 39: 14, 40: 2, 41: 1, 42: 14, 43:\
15, 44: 3, 45: 2, 46: 15, 47: 16, 48: 4, \
49: 3, 50: 16, 51: 17, 52: 5, 53: 4, 54: \
17, 55: 18, 56: 0, 57: 5, 58: 18, 59: 13,\
60: 5, 61: 0, 62: 13, 63: 18, 64: 6, 65: 5,\
66: 18, 67: 19, 68: 7, 69: 6, 70: 19, 71: \
20, 72: 8, 73: 7, 74: 20, 75: 21, 76: 9, 77:\
8, 78: 21, 79: 22, 80: 0, 81: 9, 82: 22, 83:\
13, 84: 9, 85: 0, 86: 13, 87: 22, 88: 10, \
89: 9, 90: 22, 91: 23, 92: 11, 93: 10, 94:\
23, 95: 24, 96: 12, 97: 11, 98: 24, 99: 25,\
100: 1, 101: 12, 102: 25, 103: 14, 104: 0,\
105: 1, 106: 14, 107: 13}, \
'trgt': {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 0, 6: 5, 7:\
6, 8: 7, 9: 8, 10: 9, 11: 0, 12: 9, 13: 10,\
14: 11, 15: 12, 16: 1, 17: 0, 18: 13, 19: \
14, 20: 15, 21: 16, 22: 17, 23: 18, 24: 13,\
25: 18, 26: 19, 27: 20, 28: 21, 29: 22, 30:\
13, 31: 22, 32: 23, 33: 24, 34: 25, 35: 14,\
36: 0, 37: 13, 38: 14, 39: 1, 40: 1, 41: 14,\
42: 15, 43: 2, 44: 2, 45: 15, 46: 16, 47: 3, \
48: 3, 49: 16, 50: 17, 51: 4, 52: 4, 53: 17,\
54: 18, 55: 5, 56: 5, 57: 18, 58: 13, 59: 0, \
60: 0, 61: 13, 62: 18, 63: 5, 64: 5, 65: 18,\
66: 19, 67: 6, 68: 6, 69: 19, 70: 20, 71: 7, \
72: 7, 73: 20, 74: 21, 75: 8, 76: 8, 77: 21,\
78: 22, 79: 9, 80: 9, 81: 22, 82: 13, 83: 0,\
84: 0, 85: 13, 86: 22, 87: 9, 88: 9, 89: 22, \
90: 23, 91: 10, 92: 10, 93: 23, 94: 24, 95: \
11, 96: 11, 97: 24, 98: 25, 99: 12, 100: 12,\
101: 25, 102: 14, 103: 1, 104: 1, 105: 14,\
106: 13, 107: 0}, \
'face': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 1, 7: \
1, 8: 1, 9: 1, 10: 1, 11: 1, 12: 2, 13: 2, \
14: 2, 15: 2, 16: 2, 17: 2, 18: 3, 19: 3, 20:\
3, 21: 3, 22: 3, 23: 3, 24: 4, 25: 4, 26: 4, \
27: 4, 28: 4, 29: 4, 30: 5, 31: 5, 32: 5, 33:\
5, 34: 5, 35: 5, 36: 6, 37: 6, 38: 6, 39: 6, \
40: 7, 41: 7, 42: 7, 43: 7, 44: 8, 45: 8, 46:\
8, 47: 8, 48: 9, 49: 9, 50: 9, 51: 9, 52: 10,\
53: 10, 54: 10, 55: 10, 56: 11, 57: 11, 58: 11,\
59: 11, 60: 12, 61: 12, 62: 12, 63: 12, 64: \
13, 65: 13, 66: 13, 67: 13, 68: 14, 69: 14,\
70: 14, 71: 14, 72: 15, 73: 15, 74: 15, 75: \
15, 76: 16, 77: 16, 78: 16, 79: 16, 80: 17, \
81: 17, 82: 17, 83: 17, 84: 18, 85: 18, 86: \
18, 87: 18, 88: 19, 89: 19, 90: 19, 91: 19, \
92: 20, 93: 20, 94: 20, 95: 20, 96: 21, 97: \
21, 98: 21, 99: 21, 100: 22, 101: 22, 102: 22,\
103: 22, 104: 23, 105: 23, 106: 23, 107: 23}}
dict_after = {'srce': {0: 0, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0, 7:\
6, 8: 7, 9: 8, 10: 9, 11: 1, 12: 12, 13: 13,\
14: 14, 15: 15, 16: 16, 17: 10, 18: 16, 19:\
17, 20: 18, 21: 19, 22: 11, 23: 10, 24: 2, \
25: 0, 26: 10, 27: 12, 28: 3, 29: 2, 30: 12,\
31: 13, 32: 4, 33: 3, 34: 13, 35: 14, 36: 5,\
37: 4, 38: 14, 39: 15, 40: 6, 41: 5, 42: 15,\
43: 16, 44: 0, 45: 6, 46: 16, 47: 10, 48: 6,\
49: 0, 50: 10, 51: 16, 52: 7, 53: 6, 54: 16,\
55: 17, 56: 8, 57: 7, 58: 17, 59: 18, 60: 9,\
61: 8, 62: 18, 63: 19, 64: 1, 65: 9, 66: 19,\
67: 11, 68: 0, 69: 1, 70: 11, 71: 10}, \
'trgt': {0: 2, 1: 3, 2: 4, 3: 5, 4: 6, 5: 0, 6: 6, 7:\
7, 8: 8, 9: 9, 10: 1, 11: 0, 12: 10, 13: 12,\
14: 13, 15: 14, 16: 15, 17: 16, 18: 10, 19: \
16, 20: 17, 21: 18, 22: 19, 23: 11, 24: 0, \
25: 10, 26: 12, 27: 2, 28: 2, 29: 12, 30: 13,\
31: 3, 32: 3, 33: 13, 34: 14, 35: 4, 36: 4, \
37: 14, 38: 15, 39: 5, 40: 5, 41: 15, 42: 16,\
43: 6, 44: 6, 45: 16, 46: 10, 47: 0, 48: 0,\
49: 10, 50: 16, 51: 6, 52: 6, 53: 16, 54: \
17, 55: 7, 56: 7, 57: 17, 58: 18, 59: 8, 60:\
8, 61: 18, 62: 19, 63: 9, 64: 9, 65: 19, 66:\
11, 67: 1, 68: 1, 69: 11, 70: 10, 71: 0},\
'face': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 1, \
7: 1, 8: 1, 9: 1, 10: 1, 11: 1, 12: 2, 13: \
2, 14: 2, 15: 2, 16: 2, 17: 2, 18: 3, 19:\
3, 20: 3, 21: 3, 22: 3, 23: 3, 24: 4, 25:\
4, 26: 4, 27: 4, 28: 5, 29: 5,30: 5, 31: 5,\
32: 6, 33: 6, 34: 6, 35: 6, 36: 7, 37: 7, \
38: 7, 39: 7, 40: 8, 41: 8, 42: 8, 43: 8, 44:\
9, 45: 9, 46: 9, 47: 9, 48: 10, 49: 10,\
50: 10, 51: 10, 52: 11, 53: 11, 54: 11, 55:\
11, 56: 12, 57: 12, 58: 12, 59: 12, 60: 13,\
61: 13, 62: 13, 63: 13, 64: 14, 65: 14, 66:\
14, 67: 14, 68: 15, 69: 15, 70: 15, 71: 15}}
sft_before = pd.DataFrame.from_dict(dict_before)
sft_after = pd.DataFrame.from_dict(dict_after)
eptm.remove([0])
eptm.update_mindex()
assert eptm.edge_df[['srce', 'trgt',
'face']].equals(sft_after[['srce', 'trgt', 'face']])
