本文整理汇总了Python中vis.workflow.WorkflowManager.settings方法的典型用法代码示例。如果您正苦于以下问题:Python WorkflowManager.settings方法的具体用法?Python WorkflowManager.settings怎么用?Python WorkflowManager.settings使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类vis.workflow.WorkflowManager
的用法示例。
在下文中一共展示了WorkflowManager.settings方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_settings_2
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_settings_2(self, mock_ip):
# - if index is None, field and value are valid, it'll set for all IPs
test_wm = WorkflowManager([u'a', u'b', u'c'])
self.assertEqual(3, mock_ip.call_count) # to make sure we're using the mock, not real IP
test_wm.settings(None, u'filter repeats', True)
for i in xrange(3):
self.assertEqual(True, test_wm._settings[i][u'filter repeats'])
示例2: test_intervs_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
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))
示例3: test_table_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_table_3(self):
'''
_make_table():
- "count frequency" is False
- file extension not on "pathname"
- there are several IndexedPiece objects
'''
test_wm = WorkflowManager([])
test_wm.settings(None, 'count frequency', False)
test_wm._result = [mock.MagicMock(spec_set=pandas.DataFrame) for _ in range(5)]
test_wm._data = ['boop' for _ in range(len(test_wm._result))]
top_x = None
threshold = None
pathname = 'test_path'
test_wm._make_table('CSV', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Excel', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Stata', pathname, top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('HTML', pathname, top_x, threshold) # pylint: disable=protected-access
for i in range(len(test_wm._result)):
test_wm._result[i].to_csv.assert_called_once_with('{}-{}{}'.format(pathname, i, '.csv'))
test_wm._result[i].to_excel.assert_called_once_with('{}-{}{}'.format(pathname, i, '.xlsx'))
test_wm._result[i].to_stata.assert_called_once_with('{}-{}{}'.format(pathname, i, '.dta'))
test_wm._result[i].to_html.assert_called_once_with('{}-{}{}'.format(pathname, i, '.html'))
示例4: test_table_1
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_table_1(self, mock_fdf):
'''
_make_table():
- "count frequency" is True
- file extension on "pathname" with period
'''
test_wm = WorkflowManager([])
test_wm.settings(None, 'count frequency', True) # just to be 100% clear
mock_fdf.return_value = mock.MagicMock(spec_set=pandas.DataFrame)
test_wm._result = mock_fdf.return_value # to avoid a RuntimeError
test_wm._previous_exp = 'intervals' # to get the proper "exp_name"
top_x = None
threshold = None
exp_name = 'Interval Frequency'
pathname = 'test_path'
test_wm._make_table('CSV', pathname + '.csv', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Excel', pathname + '.xlsx', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('Stata', pathname + '.dta', top_x, threshold) # pylint: disable=protected-access
test_wm._make_table('HTML', pathname + '.html', top_x, threshold) # pylint: disable=protected-access
mock_fdf.return_value.to_csv.assert_called_once_with('test_path.csv')
mock_fdf.return_value.to_stata.assert_called_once_with('test_path.dta')
mock_fdf.return_value.to_excel.assert_called_once_with('test_path.xlsx')
mock_fdf.return_value.to_html.assert_called_once_with('test_path.html')
self.assertSequenceEqual([mock.call(top_x=top_x, threshold=threshold, name=exp_name) for _ in range(4)],
mock_fdf.call_args_list)
示例5: test_lilypond_2
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_lilypond_2(self):
"""one piece with one part; specified pathname; and there's a NaN in the Series!"""
mock_ips = [MagicMock(spec_set=IndexedPiece)]
mock_ips[0].get_data.return_value = ['ready for LilyPond']
result = [pandas.DataFrame({('analyzer', 'clarinet'): pandas.Series(range(10))})]
result[0][('analyzer', 'clarinet')].iloc[0] = NaN
exp_series = pandas.Series(range(1, 10), index=range(1, 10)) # to test dropna() was run
pathname = 'this_path'
expected = ['this_path.ly']
exp_get_data_calls = [mock.call([lilypond_ind.AnnotationIndexer,
lilypond_exp.AnnotateTheNoteExperimenter,
lilypond_exp.PartNotesExperimenter],
{'part_names': ['analyzer: clarinet'],
'column': 'lilypond.AnnotationIndexer'},
[mock.ANY]),
mock.call([lilypond_exp.LilyPondExperimenter],
{'run_lilypond': True,
'annotation_part': ['ready for LilyPond'],
'output_pathname': expected[0]})]
test_wm = WorkflowManager(mock_ips)
test_wm._result = result
test_wm.settings(None, 'count frequency', False)
test_wm._make_lilypond(pathname)
self.assertEqual(2, mock_ips[0].get_data.call_count)
self.assertSequenceEqual(exp_get_data_calls, mock_ips[0].get_data.call_args_list)
# check that dropna() was run
actual_series = mock_ips[0].get_data.call_args_list[0][0][2][0]
self.assertSequenceEqual(list(exp_series.index), list(actual_series.index))
self.assertSequenceEqual(list(exp_series.values), list(actual_series.values))
示例6: test_intervs_1
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
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])
示例7: test_lilypond_1b
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_lilypond_1b(self):
"""error conditions: if the lengths are different, (but 'count frequency' is okay)"""
test_wm = WorkflowManager(['fake piece'])
test_wm._data = ['fake IndexedPiece']
test_wm._result = ['fake results', 'more fake results', 'so many fake results']
test_wm.settings(None, 'count frequency', False)
with self.assertRaises(RuntimeError) as run_err:
test_wm._make_lilypond(['paths'])
self.assertEqual(WorkflowManager._COUNT_FREQUENCY_MESSAGE, run_err.exception.args[0])
示例8: test_settings_9
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_settings_9(self, mock_ip):
# - if trying to set 'offset interval' to 0, it should actually be set to None
test_wm = WorkflowManager([u'a', u'b', u'c'])
self.assertEqual(3, mock_ip.call_count) # to make sure we're using the mock, not real IP
# "None" is default value, so first set to non-zero
test_wm.settings(1, u'offset interval', 4.0)
self.assertEqual(4.0, test_wm._settings[1][u'offset interval'])
# now run our test
test_wm.settings(1, u'offset interval', 0)
self.assertEqual(None, test_wm._settings[1][u'offset interval'])
示例9: test_lilypond_1b
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_lilypond_1b(self):
# error conditions: if the lengths are different, (but 'count frequency' is okay)
test_wm = WorkflowManager(['fake piece'])
test_wm._data = ['fake IndexedPiece']
test_wm._result = ['fake results', 'more fake results', 'so many fake results']
test_wm.settings(None, 'count frequency', False)
self.assertRaises(RuntimeError, test_wm._make_lilypond, ['paths'])
try:
test_wm._make_lilypond(['paths'])
except RuntimeError as the_err:
self.assertEqual(WorkflowManager._COUNT_FREQUENCY_MESSAGE, the_err.message)
示例10: test_intervals_2
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_intervals_2(self):
# test all combinations of bwv77
test_wm = WorkflowManager(['vis/tests/corpus/bwv77.mxl'])
test_wm.load('pieces')
test_wm.settings(0, 'voice combinations', 'all pairs')
actual = test_wm.run('intervals')
exp_ind = list(IntervalsTests.EXPECTED_2.index)
act_ind = list(actual.index)
for ind_item in exp_ind:
self.assertTrue(ind_item in act_ind)
for ind_item in exp_ind:
self.assertEqual(IntervalsTests.EXPECTED_2[ind_item], actual[ind_item])
示例11: test_intervals_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_intervals_3(self):
# test all combinations of madrigal51 without rests
test_wm = WorkflowManager(['vis/tests/corpus/madrigal51.mxl'])
test_wm.load('pieces')
test_wm.settings(0, 'voice combinations', 'all pairs')
test_wm.settings(None, 'include rests', False)
actual = test_wm.run('intervals')
exp_ind = list(IntervalsTests.EXPECTED_3.index)
act_ind = list(actual.index)
for ind_item in exp_ind:
self.assertTrue(ind_item in act_ind)
for ind_item in exp_ind:
self.assertEqual(IntervalsTests.EXPECTED_3[ind_item], actual[ind_item])
示例12: test_ngrams_8
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_ngrams_8(self):
# test_ngrams_7 *but* with part combinations specified rather than 'all pairs'
test_wm = WorkflowManager(['vis/tests/corpus/vis_Test_Piece.xml'])
test_wm.load('pieces')
test_wm.settings(0, 'voice combinations', '[[0,1], [0,2], [0,3], [1,2], [1,3], [2,3]]')
test_wm.settings(0, 'n', 2)
actual = test_wm.run('interval n-grams')
exp_ind = list(NGramsTests.EXPECTED_7.index) # yes, this *should* be EXPECTED_7
act_ind = list(actual.index)
self.assertEqual(len(exp_ind), len(act_ind))
for ind_item in exp_ind:
self.assertTrue(ind_item in act_ind)
self.assertEqual(NGramsTests.EXPECTED_7[ind_item], actual[ind_item])
示例13: test_ngrams_7
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_ngrams_7(self):
# test all two-part combinations of the test piece; 2-grams
test_wm = WorkflowManager(['vis/tests/corpus/vis_Test_Piece.xml'])
test_wm.load('pieces')
test_wm.settings(0, 'voice combinations', 'all pairs')
test_wm.settings(0, 'n', 2)
actual = test_wm.run('interval n-grams')
exp_ind = list(NGramsTests.EXPECTED_7.index)
act_ind = list(actual.index)
self.assertEqual(len(exp_ind), len(act_ind))
for ind_item in exp_ind:
self.assertTrue(ind_item in act_ind)
self.assertEqual(NGramsTests.EXPECTED_7[ind_item], actual[ind_item])
示例14: test_ngrams_3
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_ngrams_3(self):
# test all voices of bwv77; 1-grams
test_wm = WorkflowManager(['vis/tests/corpus/bwv77.mxl'])
test_wm.load('pieces')
test_wm.settings(0, 'voice combinations', 'all')
test_wm.settings(0, 'n', 1)
actual = test_wm.run('interval n-grams')
exp_ind = list(NGramsTests.EXPECTED_3.index)
act_ind = list(actual.index)
for ind_item in exp_ind:
self.assertTrue(ind_item in act_ind)
for ind_item in exp_ind:
self.assertEqual(NGramsTests.EXPECTED_3[ind_item], actual[ind_item])
示例15: test_run_off_rep_1
# 需要导入模块: from vis.workflow import WorkflowManager [as 别名]
# 或者: from vis.workflow.WorkflowManager import settings [as 别名]
def test_run_off_rep_1(self):
"""run neither indexer"""
# setup
workm = WorkflowManager(['', '', ''])
workm._data = [None, MagicMock(spec=IndexedPiece), None]
workm.settings(1, 'offset interval', 0)
workm.settings(1, 'filter repeats', False)
in_val = 42
# run
actual = workm._run_off_rep(1, in_val)
# test
self.assertEqual(in_val, actual)
self.assertEqual(0, workm._data[1].get_data.call_count)