def test_intervs_3(self, mock_int, mock_nri, mock_rep, mock_rfa, mock_ror):
# --> test whether _intervs() when we specify an impossible voice pair ('[[0, 1, 2]]')
# 1.) prepare the test and mocks
test_settings = {u'simple or compound': u'compound', u'quality': False}
test_pieces = [MagicMock(IndexedPiece, name=x) for x in [u'test1', u'test2', u'test3']]
the_dicts = [MagicMock(dict, name=u'get_data() piece' + str(i), return_value=[4]) \
for i in xrange(3)]
returns = the_dicts
def side_effect(*args):
# NB: we need to accept "args" as a mock framework formality
# pylint: disable=W0613
return returns.pop(0)
for piece in test_pieces:
piece.get_data.side_effect = side_effect
mock_ror.return_value = [pandas.Series(['Rest', 'P5', 'm3']) for _ in xrange(len(test_pieces))]
expected = [pandas.Series(['Rest', 'P5', 'm3']) for _ in xrange(len(test_pieces))]
expected_pairs = [[0, 1, 2]]
expected_error_message = WorkflowManager._REQUIRE_PAIRS_ERROR % len(expected_pairs[0])
# 2.) run the test
test_wc = WorkflowManager(test_pieces)
# (have to set the voice-pair settings)
for i in xrange(len(test_pieces)):
test_wc._settings[i][u'voice combinations'] = unicode(expected_pairs)
# 3.) verify
self.assertRaises(RuntimeError, test_wc._intervs)
try:
test_wc._intervs()
except RuntimeError as runerr:
self.assertEqual(expected_error_message, runerr.message)
def test_intervs_1(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
This test uses all the default settings."""
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
expected = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertEqual(0, mock_guc.call_count)
self.assertEqual(len(test_pieces), len(expected), len(actual))
self.assertEqual(0, mock_rep.call_count)
mock_rfa.assert_called_once_with('interval.IntervalIndexer')
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers, test_settings)
for i in range(len(actual)):
# NB: in real use, _run_freq_agg() would aggregate a piece's voice pairs and save it in
# self._result... but since that method's mocked out, we have to check here the
# return of each piece's get_data() call
self.assertSequenceEqual(expected[i], actual[i])
def test_intervs_3(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
This uses the default *except* requires removing rests, so it's more complex."""
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = [pandas.DataFrame([pandas.Series(['3', 'Rest', '5'])],
index=[['interval.IntervalIndexer'], ['0,1']]).T
for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_series_ind = ('interval.IntervalIndexer', '0,1')
expected_df = pandas.DataFrame({exp_series_ind: pandas.Series(['3', '5'], index=[0, 2])})
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'count frequency', False)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertEqual(0, mock_guc.call_count)
self.assertEqual(len(test_pieces), len(actual))
self.assertEqual(0, mock_rfa.call_count)
self.assertEqual(0, mock_rep.call_count)
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers, test_settings)
for i in range(len(actual)):
self.assertSequenceEqual(list(expected_df.columns), list(actual[i].columns))
self.assertSequenceEqual(list(expected_df[exp_series_ind].index),
list(actual[i][exp_series_ind].index))
self.assertSequenceEqual(list(expected_df[exp_series_ind].values),
list(actual[i][exp_series_ind].values))
def test_intervs_1(self, mock_int, mock_nri, mock_rfa, mock_ror):
# --> test whether _intervs() calls all those things in the right order, with the right
# args, using all the default settings
# 1.) prepare the test and mocks
test_settings = {u'simple or compound': u'compound', u'quality': False}
test_pieces = [MagicMock(IndexedPiece, name=x) for x in [u'test1', u'test2', u'test3']]
returns = [MagicMock(dict, name=u'get_data() piece' + str(i), return_value=[4]) \
for i in xrange(3)]
def side_effect(*args):
# NB: we need to accept "args" as a mock framework formality
# pylint: disable=W0613
return returns.pop(0)
for piece in test_pieces:
piece.get_data.side_effect = side_effect
mock_ror.return_value = [pandas.Series(['Rest', 'P5', 'm3']) for _ in xrange(len(test_pieces))]
expected = [pandas.Series(['P5', 'm3'], index=[1, 2]) for _ in xrange(len(test_pieces))]
# 2.) run the test
test_wc = WorkflowManager(test_pieces)
actual = test_wc._intervs()
# 3.) confirm everything was called in the right order
for piece in test_pieces:
self.assertEqual(1, piece.get_data.call_count)
piece.get_data.assert_called_once_with([mock_nri, mock_int], test_settings)
self.assertEqual(len(test_pieces), mock_ror.call_count)
mock_rfa.assert_called_once_with()
self.assertEqual(len(test_pieces), len(expected), len(actual))
for i in xrange(len(actual)):
# NB: in real use, _run_freq_agg() would aggregate a piece's voice pairs, so we
# wouldn't need to ask for the [0] index here... but also, this experiment shouldn't
# call _run_freq_agg() anyway
self.assertSequenceEqual(list(expected[i]), list(actual[i][0]))
self.assertSequenceEqual(list(expected[i].index), list(actual[i][0].index))
def test_intervs_1(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
This test uses all the default settings."""
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
expected = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertEqual(0, mock_guc.call_count)
self.assertEqual(len(test_pieces), len(expected), len(actual))
self.assertEqual(0, mock_rep.call_count)
mock_rfa.assert_called_once_with('interval.IntervalIndexer')
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers,
test_settings)
for i in range(len(actual)):
# NB: in real use, _run_freq_agg() would aggregate a piece's voice pairs and save it in
# self._result... but since that method's mocked out, we have to check here the
# return of each piece's get_data() call
self.assertSequenceEqual(expected[i], actual[i])
def test_intervs_3(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
This uses the default *except* requires removing rests, so it's more complex."""
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = [
pandas.DataFrame([pandas.Series(['3', 'Rest', '5'])],
index=[['interval.IntervalIndexer'], ['0,1']]).T
for i in range(len(test_pieces))
]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_series_ind = ('interval.IntervalIndexer', '0,1')
expected_df = pandas.DataFrame(
{exp_series_ind: pandas.Series(['3', '5'], index=[0, 2])})
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'count frequency', False)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertEqual(0, mock_guc.call_count)
self.assertEqual(len(test_pieces), len(actual))
self.assertEqual(0, mock_rfa.call_count)
self.assertEqual(0, mock_rep.call_count)
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers,
test_settings)
for i in range(len(actual)):
self.assertSequenceEqual(list(expected_df.columns),
list(actual[i].columns))
self.assertSequenceEqual(list(expected_df[exp_series_ind].index),
list(actual[i][exp_series_ind].index))
self.assertSequenceEqual(list(expected_df[exp_series_ind].values),
list(actual[i][exp_series_ind].values))
def test_intervs_4(self):
"""Ensure _intervs() fails when given an impossible 'voice pair'."""
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_err_msg = WorkflowManager._REQUIRE_PAIRS_ERROR.format(3) # pylint: disable=protected-access
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
test_wc.settings(None, 'voice combinations', '[[0, 1, 2]]') # that's not a pair!
self.assertRaises(RuntimeError, test_wc._intervs) # pylint: disable=protected-access
try:
test_wc._intervs() # pylint: disable=protected-access
except RuntimeError as run_err:
self.assertEqual(exp_err_msg, run_err.args[0])
def test_intervs_4(self):
"""Ensure _intervs() fails when given an impossible 'voice pair'."""
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_err_msg = WorkflowManager._REQUIRE_PAIRS_ERROR.format(3) # pylint: disable=protected-access
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
test_wc.settings(None, 'voice combinations',
'[[0, 1, 2]]') # that's not a pair!
self.assertRaises(RuntimeError, test_wc._intervs) # pylint: disable=protected-access
try:
test_wc._intervs() # pylint: disable=protected-access
except RuntimeError as run_err:
self.assertEqual(exp_err_msg, run_err.args[0])
def test_intervs_2(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
Same as test_intervs_1() but:
- calls _remove_extra_pairs(), and
- doesn't call _run_freq_agg()."""
mock_guc.return_value = [[0, 1]]
voice_combos = str(mock_guc.return_value)
exp_voice_combos = ['0,1']
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_into_mock_rep = [
'get_data() {}'.format(i) for i in range(len(test_pieces))
]
mock_rep_returns = [
'IndP-{} no pairs'.format(i) for i in range(len(test_pieces))
]
mock_rep.side_effect = lambda *x: mock_rep_returns.pop(0)
expected = [
'IndP-{} no pairs'.format(i) for i in range(len(test_pieces))
]
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
exp_mock_guc = [mock.call(i) for i in range(len(test_pieces))]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
test_wc.settings(None, 'count frequency', False)
test_wc.settings(None, 'voice combinations', voice_combos)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertSequenceEqual(exp_mock_guc, mock_guc.call_args_list)
self.assertEqual(len(test_pieces), len(expected), len(actual))
self.assertEqual(0, mock_rfa.call_count)
self.assertEqual(len(test_pieces), mock_rep.call_count)
for i in range(len(test_pieces)):
mock_rep.assert_any_call(exp_into_mock_rep[i], exp_voice_combos)
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers,
test_settings)
for i in range(len(actual)):
self.assertSequenceEqual(expected[i], actual[i])
def test_intervs_2(self, mock_int, mock_nri, mock_rep, mock_rfa, mock_ror):
# --> test whether _intervs() calls all those things in the right order, with specifying
# certain voice-pairs, keeping 'Rest' tokens, and not calling _run_freq_agg()
# 1.) prepare the test and mocks
test_settings = {u'simple or compound': u'compound', u'quality': False}
test_pieces = [MagicMock(IndexedPiece, name=x) for x in [u'test1', u'test2', u'test3']]
the_dicts = [MagicMock(dict, name=u'get_data() piece' + str(i), return_value=[4]) \
for i in xrange(3)]
returns = the_dicts
def side_effect(*args):
# NB: we need to accept "args" as a mock framework formality
# pylint: disable=W0613
return returns.pop(0)
for piece in test_pieces:
piece.get_data.side_effect = side_effect
mock_ror.return_value = [pandas.Series(['Rest', 'P5', 'm3']) for _ in xrange(len(test_pieces))]
expected = [pandas.Series(['Rest', 'P5', 'm3']) for _ in xrange(len(test_pieces))]
# 2.) run the test
test_wc = WorkflowManager(test_pieces)
# (have to set the voice-pair settings)
expected_pairs = [[0, 1], [0, 2]]
for i in xrange(len(test_pieces)):
test_wc._settings[i][u'voice combinations'] = unicode(expected_pairs)
test_wc.settings(None, 'include rests', True)
test_wc.settings(None, 'count frequency', False)
actual = test_wc._intervs()
# 3.) confirm everything was called in the right order
self.assertEqual(len(test_pieces), mock_rep.call_count)
for i in xrange(len(the_dicts)):
mock_rep.assert_any_call(the_dicts[i], expected_pairs)
for piece in test_pieces:
piece.get_data.assert_called_once_with([mock_nri, mock_int], test_settings)
self.assertEqual(len(test_pieces), mock_ror.call_count)
self.assertEqual(0, mock_rfa.call_count)
self.assertEqual(len(test_pieces), len(expected), len(actual))
for i in xrange(len(actual)):
# NB: in real use, _run_freq_agg() would aggregate a piece's voice pairs, so we
# wouldn't need to ask for the [0] index here... but also, this experiment shouldn't
# call _run_freq_agg() anyway
self.assertSequenceEqual(list(expected[i]), list(actual[i][0]))
self.assertSequenceEqual(list(expected[i].index), list(actual[i][0].index))
def test_intervs_2(self, mock_guc, mock_rfa, mock_rep):
"""Ensure _intervs() calls everything in the right order, with the right args & settings.
Same as test_intervs_1() but:
- calls _remove_extra_pairs(), and
- doesn't call _run_freq_agg()."""
mock_guc.return_value = [[0, 1]]
voice_combos = str(mock_guc.return_value)
exp_voice_combos = ['0,1']
test_settings = {'simple or compound': 'compound', 'quality': False}
test_pieces = [MagicMock(spec_set=IndexedPiece) for _ in range(3)]
returns = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
for piece in test_pieces:
piece.get_data.side_effect = lambda *x: returns.pop(0)
exp_into_mock_rep = ['get_data() {}'.format(i) for i in range(len(test_pieces))]
mock_rep_returns = ['IndP-{} no pairs'.format(i) for i in range(len(test_pieces))]
mock_rep.side_effect = lambda *x: mock_rep_returns.pop(0)
expected = ['IndP-{} no pairs'.format(i) for i in range(len(test_pieces))]
exp_analyzers = [noterest.NoteRestIndexer, interval.IntervalIndexer]
exp_mock_guc = [mock.call(i) for i in range(len(test_pieces))]
test_wc = WorkflowManager(test_pieces)
test_wc.settings(None, 'include rests', True)
test_wc.settings(None, 'count frequency', False)
test_wc.settings(None, 'voice combinations', voice_combos)
actual = test_wc._intervs() # pylint: disable=protected-access
self.assertSequenceEqual(exp_mock_guc, mock_guc.call_args_list)
self.assertEqual(len(test_pieces), len(expected), len(actual))
self.assertEqual(0, mock_rfa.call_count)
self.assertEqual(len(test_pieces), mock_rep.call_count)
for i in range(len(test_pieces)):
mock_rep.assert_any_call(exp_into_mock_rep[i], exp_voice_combos)
for piece in test_pieces:
piece.get_data.assert_called_once_with(exp_analyzers, test_settings)
for i in range(len(actual)):
self.assertSequenceEqual(expected[i], actual[i])
