def test_numeric_filter(qtbot):
a = Attribute('name','numeric','name')
a.update_range(0)
a.update_range(100)
widget = NumericFilter()
qtbot.addWidget(widget)
widget.valueEdit.setText('50')
assert(widget.value() == (widget.conditionals[0],'50'))
def test_factor_filter(qtbot):
a = Attribute('name','factor','name')
a.update_range('a')
a.update_range('b')
widget = FactorFilter(a)
qtbot.addWidget(widget)
assert(widget.value() == set())
assert(widget.sourceWidget.item(0).text() == 'a')
widget.sourceWidget.setCurrentRow(0)
widget.addOneButton.clicked.emit()
assert(widget.sourceWidget.item(0).text() == 'b')
assert(widget.targetWidget.item(0).text() == 'a')
assert(widget.value() == set(['a']))
widget.clearAllButton.clicked.emit()
assert(widget.sourceWidget.item(1).text() == 'a')
assert(widget.targetWidget.count() == 0)
assert(widget.sourceWidget.count() == 2)
assert(widget.value() == set())
widget.addAllButton.clicked.emit()
assert(widget.sourceWidget.count() == 0)
assert(widget.targetWidget.count() == 2)
assert(widget.targetWidget.item(0).text() == 'b')
assert(widget.targetWidget.item(1).text() == 'a')
assert(widget.value() == set(['a','b']))
widget.targetWidget.setCurrentRow(0)
widget.clearOneButton.clicked.emit()
assert(widget.sourceWidget.count() == 1)
assert(widget.targetWidget.count() == 1)
assert(widget.sourceWidget.item(0).text() == 'b')
assert(widget.targetWidget.item(0).text() == 'a')
assert(widget.value() == set(['a']))
def test_factor_filter(qtbot):
a = Attribute('name', 'factor', 'name')
a.update_range('a')
a.update_range('b')
widget = FactorFilter(a)
qtbot.addWidget(widget)
assert (widget.value() == set())
assert (widget.sourceWidget.item(0).text() == 'a')
widget.sourceWidget.setCurrentRow(0)
widget.addOneButton.clicked.emit()
assert (widget.sourceWidget.item(0).text() == 'b')
assert (widget.targetWidget.item(0).text() == 'a')
assert (widget.value() == set(['a']))
widget.clearAllButton.clicked.emit()
assert (widget.sourceWidget.item(1).text() == 'a')
assert (widget.targetWidget.count() == 0)
assert (widget.sourceWidget.count() == 2)
assert (widget.value() == set())
widget.addAllButton.clicked.emit()
assert (widget.sourceWidget.count() == 0)
assert (widget.targetWidget.count() == 2)
assert (widget.targetWidget.item(0).text() == 'b')
assert (widget.targetWidget.item(1).text() == 'a')
assert (widget.value() == set(['a', 'b']))
widget.targetWidget.setCurrentRow(0)
widget.clearOneButton.clicked.emit()
assert (widget.sourceWidget.count() == 1)
assert (widget.targetWidget.count() == 1)
assert (widget.sourceWidget.item(0).text() == 'b')
assert (widget.targetWidget.item(0).text() == 'a')
assert (widget.value() == set(['a']))
def test_numeric_filter(qtbot):
a = Attribute('name', 'numeric', 'name')
a.update_range(0)
a.update_range(100)
widget = NumericFilter()
qtbot.addWidget(widget)
widget.valueEdit.setText('50')
assert (widget.value() == (widget.conditionals[0], '50'))
def inspect_csv(path, num_lines = 10, coldelim = None, transdelim = None):
"""
Generate a list of AnnotationTypes for a specified text file for parsing
it as a column-delimited file
Parameters
----------
path : str
Full path to text file
num_lines: int, optional
The number of lines to parse from the file
coldelim: str, optional
A prespecified column delimiter to use, will autodetect if not
supplied
transdelim : list, optional
A prespecfied set of transcription delimiters to look for, will
autodetect if not supplied
Returns
-------
list of AnnotationTypes
Autodetected AnnotationTypes for the text file
"""
if coldelim is not None:
common_delimiters = [coldelim]
else:
common_delimiters = [',','\t',':','|']
if transdelim is not None:
trans_delimiters = [transdelim]
else:
trans_delimiters = ['.',' ', ';', ',']
with open(path,'r', encoding='utf-8-sig') as f:
lines = []
head = f.readline().strip()
for line in f.readlines():
lines.append(line.strip())
best = ''
num = 1
for d in common_delimiters:
trial = len(head.split(d))
if trial > num:
num = trial
best = d
if best == '':
raise(DelimiterError('The column delimiter specified did not create multiple columns.'))
head = head.split(best)
vals = {h: list() for h in head}
for line in lines:
l = line.strip().split(best)
if len(l) != len(head):
raise(PCTError('{}, {}'.format(l,head)))
for i in range(len(head)):
vals[head[i]].append(l[i])
atts = list()
for h in head:
if h in ['Transcription', 'transcription']:
cat = 'tier'
else:
cat = Attribute.guess_type(vals[h][:num_lines], trans_delimiters)
att = Attribute(Attribute.sanitize_name(h), cat, h)
a = AnnotationType(h, None, None, token=False, attribute=att)
if cat == 'tier':
for t in trans_delimiters:
if t in vals[h][0] or t in vals[h][-1]:
a.trans_delimiter = t
break
a.add(vals[h], save = False)
atts.append(a)
return atts, best
