def test_only_tagging(self, run_tokenization_mock, run_tagging_mock,
parse_mock, *args):
options = self._default_options(tagged=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
[],
[],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
[],
),
(
[],
[],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
[],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join(
[call[0][0] for call in open_mock().write.call_args_list])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej\tIN
mitt\tPS|NEU|SIN|DEF
namn\tNN|NEU|SIN|IND|NOM
är\tVB|PRS|AKT
Hej
mitt
namn
är
Slim
Shady
Hej\tIN
mitt\tPS|NEU|SIN|DEF
namn\tNN|NEU|SIN|IND|NOM
är\tVB|PRS|AKT
Slim\tPM|NOM
Shady\tPM|NOM
""").lstrip("\n"))
def test_only_tokenization(
self, run_tokenization_mock, run_tagging_mock, parse_mock, *args
):
options = self._default_options()
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join([
call[0][0]
for call in open_mock().write.call_args_list
])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej
mitt
namn
är
Slim
Shady
""").lstrip("\n")
)
def test_only_tokenization(self, run_tokenization_mock, run_tagging_mock,
parse_mock, *args):
options = self._default_options()
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join(
[call[0][0] for call in open_mock().write.call_args_list])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej
mitt
namn
är
Slim
Shady
""").lstrip("\n"))
def test_empty_options(self, run_tokenization_mock, run_tagging_mock,
parse_mock, open_mock, *args):
options = self._default_options()
models = self._default_models()
with open(os.devnull, 'w') as sys.stderr:
process_file(options, "file.txt", "", models)
self.assertEqual(open_mock().write.call_count, 0)
def test_empty_options(
self, run_tokenization_mock, run_tagging_mock, parse_mock,
open_mock, *args
):
options = self._default_options()
models = self._default_models()
with open(os.devnull, 'w') as sys.stderr:
process_file(options, "file.txt", "", models)
self.assertEqual(open_mock().write.call_count, 0)
def test_parsing(
self, run_tokenization_mock, run_tagging_mock, parse_mock, *args
):
options = self._default_options(parsed=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
["hej", "min", "namn", "vara"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
[],
),
(
["hej", "min", "namn", "vara", "Slim", "Shady"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
"PROPN|Case=Nom",
"PROPN|Case=Nom",
],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
[],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
self.assertEqual(run_tagging_mock.call_count, 2)
self.assertEqual(parse_mock.call_count, 1)
def test_parsing(self, run_tokenization_mock, run_tagging_mock, parse_mock,
*args):
options = self._default_options(parsed=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
["hej", "min", "namn", "vara"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
[],
),
(
["hej", "min", "namn", "vara", "Slim", "Shady"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
"PROPN|Case=Nom",
"PROPN|Case=Nom",
],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
[],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
self.assertEqual(run_tagging_mock.call_count, 2)
self.assertEqual(parse_mock.call_count, 1)
def test_tagging_and_lemmatization_and_ner(self, run_tokenization_mock,
run_tagging_mock, parse_mock,
*args):
options = self._default_options(tagged=True, lemmatized=True, ner=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
["hej", "min", "namn", "vara"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
["O", "O", "O", "O"],
),
(
["hej", "min", "namn", "vara", "Slim", "Shady"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
"PROPN|Case=Nom",
"PROPN|Case=Nom",
],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
["O", "O", "O", "O", "B-person", "I-person"],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join(
[call[0][0] for call in open_mock().write.call_args_list])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej\tIN\tINTJ\thej
mitt\tPS|NEU|SIN|DEF\tDET\tmin
namn\tNN|NEU|SIN|IND|NOM\tNOUN\tnamn
är\tVB|PRS|AKT\tAUX\tvara
Hej\tO
mitt\tO
namn\tO
är\tO
Hej
mitt
namn
är
Slim
Shady
Hej\tIN\tINTJ\thej
mitt\tPS|NEU|SIN|DEF\tDET\tmin
namn\tNN|NEU|SIN|IND|NOM\tNOUN\tnamn
är\tVB|PRS|AKT\tAUX\tvara
Slim\tPM|NOM\tPROPN\tSlim
Shady\tPM|NOM\tPROPN\tShady
Hej\tO
mitt\tO
namn\tO
är\tO
Slim\tB-person
Shady\tI-person
""").lstrip("\n"))
def test_only_tagging(
self, run_tokenization_mock, run_tagging_mock, parse_mock, *args
):
options = self._default_options(tagged=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
[],
[],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
[],
),
(
[],
[],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
[],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join([
call[0][0]
for call in open_mock().write.call_args_list
])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej\tIN
mitt\tPS|NEU|SIN|DEF
namn\tNN|NEU|SIN|IND|NOM
är\tVB|PRS|AKT
Hej
mitt
namn
är
Slim
Shady
Hej\tIN
mitt\tPS|NEU|SIN|DEF
namn\tNN|NEU|SIN|IND|NOM
är\tVB|PRS|AKT
Slim\tPM|NOM
Shady\tPM|NOM
""").lstrip("\n")
)
def test_tagging_and_lemmatization_and_ner(
self, run_tokenization_mock, run_tagging_mock, parse_mock, *args
):
options = self._default_options(tagged=True, lemmatized=True, ner=True)
models = self._default_models()
run_tokenization_mock.return_value = [
["Hej", "mitt", "namn", "är"],
["Hej", "mitt", "namn", "är", "Slim", "Shady"],
]
run_tagging_mock.side_effect = [
(
["hej", "min", "namn", "vara"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
],
["IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT"],
["O", "O", "O", "O"],
),
(
["hej", "min", "namn", "vara", "Slim", "Shady"],
[
"INTJ|_",
"DET|Definite=Def|Gender=Neut|Number=Sing|Poss=Yes",
"NOUN|Case=Nom|Definite=Ind|Gender=Neut|Number=Sing",
"AUX|Mood=Ind|Tense=Pres|VerbForm=Fin|Voice=Act",
"PROPN|Case=Nom",
"PROPN|Case=Nom",
],
[
"IN", "PS|NEU|SIN|DEF", "NN|NEU|SIN|IND|NOM", "VB|PRS|AKT",
"PM|NOM", "PM|NOM"
],
["O", "O", "O", "O", "B-person", "I-person"],
),
]
with open(os.devnull, 'w') as sys.stderr:
open_mock = mock_open()
with patch("swe_pipeline.open", open_mock, create=True):
process_file(options, "file.txt", "", models)
written_to_file = "".join([
call[0][0]
for call in open_mock().write.call_args_list
])
self.assertEqual(
written_to_file,
dedent("""
Hej
mitt
namn
är
Hej\tIN\tINTJ\thej
mitt\tPS|NEU|SIN|DEF\tDET\tmin
namn\tNN|NEU|SIN|IND|NOM\tNOUN\tnamn
är\tVB|PRS|AKT\tAUX\tvara
Hej\tO
mitt\tO
namn\tO
är\tO
Hej
mitt
namn
är
Slim
Shady
Hej\tIN\tINTJ\thej
mitt\tPS|NEU|SIN|DEF\tDET\tmin
namn\tNN|NEU|SIN|IND|NOM\tNOUN\tnamn
är\tVB|PRS|AKT\tAUX\tvara
Slim\tPM|NOM\tPROPN\tSlim
Shady\tPM|NOM\tPROPN\tShady
Hej\tO
mitt\tO
namn\tO
är\tO
Slim\tB-person
Shady\tI-person
""").lstrip("\n")
)
