Introduce code from Rust monorepo. This is a mess

2026-10-17 00:23:14 +00:00 · 2022-02-28 05:43:54 -05:00
parent 921fb49f9a
commit ba326bfcfd
1058 changed files with 192192 additions and 0 deletions
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+~It seemed to her that the jacket Oswald wore was darker than Commission Exhibit No. 162.
+It seemed to her that the jacket Oswald wore was darker than Commission Exhibit number one sixty two.
+It seemed to her that the jacket Oswald wore was darker than Commission Exhibit number one hundred sixty two.
+It seemed to her that the jacket Oswald wore was darker than Commission Exhibit number one hundred and sixty two.
+It seemed to her that the jacket Oswald wore was darker than Commission Exhibit number one six two.
+~"Father, let this cup pass." He prayed--was heard. What cup was it that passed away from him? Sure not the death-cup, now filled to the brim! There was no quailing in the awful word; He still was king of kings, of lords the lord:-- He feared lest, in the suffering waste and grim, His faith might grow too faint and sickly dim."
+"Father, let this cup pass." He prayed -- was heard. What cup was it that passed away from him? Sure not the death-cup, now filled to the brim! There was no quailing in the awful word; He still was king of kings, of lords the lord: -- He feared lest, in the suffering waste and grim, His faith might grow too faint and sickly dim."
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+~The box was 25 x 7 m.
+The box was twenty five by seven meters.
+The box was two five by seven meters.
+The box was two five by seven m.
+The box was twenty five by seven m.
+~4567
+four thousand five hundred sixty seven
+four five six seven
+four thousand five sixty seven
+forty five sixty seven
+four thousand five hundred and sixty seven
+~This example number 15,000 can be a very long one, and can fail to produce valid normalization for a such an easy number like 10,125 or dollar value $5349.01, and can fail to terminate, and can fail to terminate, and can fail to terminate, and can fail to terminate, and can fail to terminate, 452.
+This example number fifteen thousand can be a very long one, and can fail to produce valid normalization for a such an easy number like ten thousand one hundred twenty five or dollar value five thousand three hundred forty nine dollars and one cent, and can fail to terminate, and can fail to terminate, and can fail to terminate, and can fail to terminate, and can fail to terminate, four five two.
+~$1.01
+one dollar and one cent
+one dollar one cent
+one dollar and zero one cents
+~$17.31
+seventeen dollars and thirty one cent
+seventeen dollars and thirty one cents
+seventeen point three one dollars
+~25.]
+two five.]
+twenty five.]
+~Francis I--test
+Francis the first -- test
+Francis one -- test
+Francis first -- test
@@ -0,0 +1,6 @@
+0th~zeroth
+11th~eleventh
+23rd~twenty third
+1000th~one thousandth
+1,000th~one thousandth
+1000000th~one millionth
@@ -0,0 +1,9 @@
+1 123-123-5678~one, one two three, one two three, five six seven eight
+123-123-5678~one two three, one two three, five six seven eight
+1-123-123-5678~one, one two three, one two three, five six seven eight
+1 (123)-123-5678~one, one two three, one two three, five six seven eight
+1(123) 123-5678~one, one two three, one two three, five six seven eight
+(123)-123-5678~one two three, one two three, five six seven eight
+(123) 123-5678~one two three, one two three, five six seven eight
+123-123-5678-1111~one two three, one two three, five six seven eight, one one one one
+123-123-5678-1~one two three, one two three, five six seven eight, one
@@ -0,0 +1,14 @@
+01:00~one o'clock
+01:00 am~one a m
+01:00 a.m.~one a m
+01:00 a.m~one a m
+1 a.m.~one a m
+23:00~twenty three o'clock
+1:00 a.m.~one a m
+1:00a.m.~one a m
+1.59 p.m.~one fifty nine p m
+01:59 p.m.~one fifty nine p m
+1:59 p.m.~one fifty nine p m
+1:59 p.m. est~one fifty nine p m e s t
+1:59 p.m.est~one fifty nine p m e s t
+1:59 p.m. e.s.t~one fifty nine p m e s t
@@ -0,0 +1,3 @@
+dr. Evil~doctor Evil
+mrs. Norris~misses Norris
+Dr. Evil~Dr. Evil
@@ -0,0 +1,23 @@
+~
+es3~e s three
+x ~x
+X!~X!
+2!~two !
+—~—
+aabach~aabach
+aabenraa~aabenraa
+aabye~aabye
+aaccessed~aaccessed
+aach~aach
+aachen's~aachen's
+aadri~aadri
+aafia~aafia
+aagaard~aagaard
+aagadu~aagadu
+aagard~aagard
+aagathadi~aagathadi
+aaghart's~aaghart's
+aalem~aalem
+a'ali~a'ali
+aaliyan's~aaliyan's
+mother-in-law~mother-in-law
@@ -0,0 +1,39 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestBoundary:
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_boundary.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(
+            test_input, n_tagged=100, punct_pre_process=False, punct_post_process=False
+        )
+        assert expected in pred_non_deterministic
@@ -0,0 +1,49 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestCardinal:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_cardinal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_cardinal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,64 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestDate:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_date.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_date.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm_uncased(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
+
+    normalizer_uppercased = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    cases_uppercased = {"Aug. 8": "august eighth", "8 Aug.": "the eighth of august", "aug. 8": "august eighth"}
+
+    @parameterized.expand(cases_uppercased.items())
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm_cased(self, test_input, expected):
+        pred = self.normalizer_uppercased.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,49 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestDecimal:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_decimal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case="cased") if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_decimal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,51 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestElectronic:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_electronic.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case="cased") if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_electronic.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(
+            test_input, n_tagged=100, punct_post_process=False
+        )
+        assert expected in pred_non_deterministic
@@ -0,0 +1,38 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestFraction:
+    normalizer = Normalizer(input_case="cased") if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_fraction.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,50 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestMeasure:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_measure.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case="cased") if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_measure.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,50 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestMoney:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_money.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_money.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,33 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, get_test_cases_multiple
+
+
+class TestNormalizeWithAudio:
+
+    normalizer = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(get_test_cases_multiple('data_text_normalization/test_cases_normalize_with_audio.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, n_tagged=700)
+        assert len(set(pred).intersection(set(expected))) == len(expected), f'pred: {pred}'
@@ -0,0 +1,50 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestOrdinal:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_ordinal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_ordinal.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,64 @@
+#! /bin/sh
+
+PROJECT_DIR=/workspace/tests
+
+runtest () {
+  input=$1
+  cd /workspace/sparrowhawk/documentation/grammars
+
+  # read test file
+  while read testcase; do
+    IFS='~' read spoken written <<< $testcase
+    denorm_pred=$(echo $spoken | normalizer_main --config=sparrowhawk_configuration.ascii_proto 2>&1 | tail -n 1)
+
+    # trim white space
+    written="$(echo -e "${written}" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')"
+    denorm_pred="$(echo -e "${denorm_pred}" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')"
+
+    # input expected actual
+    assertEquals "$spoken" "$written" "$denorm_pred"
+  done < "$input"
+}
+
+testITNCardinal() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_cardinal.txt
+  runtest $input
+}
+
+testITNDate() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_date.txt
+  runtest $input
+}
+
+testITNDecimal() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_decimal.txt
+  runtest $input
+}
+
+testITNOrdinal() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_ordinal.txt
+  runtest $input
+}
+
+testITNTime() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_time.txt
+  runtest $input
+}
+
+testITNMeasure() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_measure.txt
+  runtest $input
+}
+
+testITNMoney() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_money.txt
+  runtest $input
+}
+
+testITNWhitelist() {
+  input=$PROJECT_DIR/data_inverse_text_normalization/test_cases_whitelist.txt
+  runtest $input
+}
+
+# Load shUnit2
+. $PROJECT_DIR/../shunit2/shunit2
@@ -0,0 +1,64 @@
+#! /bin/sh
+
+PROJECT_DIR=/workspace/tests
+
+runtest () {
+  input=$1
+  cd /workspace/sparrowhawk/documentation/grammars
+
+  # read test file
+  while read testcase; do
+    IFS='~' read written spoken <<< $testcase
+    denorm_pred=$(echo $written | normalizer_main --config=sparrowhawk_configuration.ascii_proto 2>&1 | tail -n 1)
+
+    # trim white space
+    spoken="$(echo -e "${spoken}" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')"
+    denorm_pred="$(echo -e "${denorm_pred}" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')"
+
+    # input expected actual
+    assertEquals "$written" "$spoken" "$denorm_pred"
+  done < "$input"
+}
+
+testTNCardinal() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_cardinal.txt
+  runtest $input
+}
+
+testTNDate() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_date.txt
+  runtest $input
+}
+
+testTNDecimal() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_decimal.txt
+  runtest $input
+}
+
+testTNOrdinal() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_ordinal.txt
+  runtest $input
+}
+
+testTNTime() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_time.txt
+  runtest $input
+}
+
+testTNMeasure() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_measure.txt
+  runtest $input
+}
+
+testTNMoney() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_money.txt
+  runtest $input
+}
+
+testTNWhitelist() {
+  input=$PROJECT_DIR/data_text_normalization/test_cases_whitelist.txt
+  runtest $input
+}
+
+# Load shUnit2
+. $PROJECT_DIR/../shunit2/shunit2
@@ -0,0 +1,50 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestTelephone:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_telephone.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_telephone.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,49 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestTime:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_time.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_time.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,65 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestWhitelist:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_whitelist.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='lower_cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_whitelist.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
+
+    normalizer_uppercased = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    cases_uppercased = {"Dr. Evil": "doctor Evil", "No. 4": "number four", "dr. Evil": "dr. Evil", "no. 4": "no. four"}
+
+    @parameterized.expand(cases_uppercased.items())
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm_cased(self, test_input, expected):
+        pred = self.normalizer_uppercased.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(test_input, n_tagged=100)
+        assert expected in pred_non_deterministic
@@ -0,0 +1,52 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import pytest
+from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
+from nemo_text_processing.text_normalization.normalize import Normalizer
+from nemo_text_processing.text_normalization.normalize_with_audio import NormalizerWithAudio
+from parameterized import parameterized
+from utils import PYNINI_AVAILABLE, parse_test_case_file
+
+
+class TestWord:
+    inverse_normalizer = InverseNormalizer() if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_inverse_text_normalization/test_cases_word.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_denorm(self, test_input, expected):
+        pred = self.inverse_normalizer.inverse_normalize(test_input, verbose=False)
+        assert pred == expected
+
+    normalizer = Normalizer(input_case='cased') if PYNINI_AVAILABLE else None
+    normalizer_with_audio = NormalizerWithAudio(input_case='cased') if PYNINI_AVAILABLE else None
+
+    @parameterized.expand(parse_test_case_file('data_text_normalization/test_cases_word.txt'))
+    @pytest.mark.skipif(
+        not PYNINI_AVAILABLE, reason="`pynini` not installed, please install via nemo_text_processing/setup.sh"
+    )
+    @pytest.mark.run_only_on('CPU')
+    @pytest.mark.unit
+    def test_norm(self, test_input, expected):
+        pred = self.normalizer.normalize(test_input, verbose=False)
+        assert pred == expected
+        pred_non_deterministic = self.normalizer_with_audio.normalize(
+            test_input, n_tagged=100, punct_post_process=False
+        )
+        assert expected in pred_non_deterministic
@@ -0,0 +1,54 @@
+# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+try:
+    import pynini
+
+    PYNINI_AVAILABLE = True
+except (ImportError, ModuleNotFoundError):
+    PYNINI_AVAILABLE = False
+
+
+def parse_test_case_file(file_name: str):
+    """
+    Prepares tests pairs for ITN and TN tests
+    """
+    test_pairs = []
+    with open(os.path.dirname(os.path.abspath(__file__)) + os.path.sep + file_name, 'r') as f:
+        for line in f:
+            spoken, written = line.split('~')
+            test_pairs.append((spoken, written.strip("\n")))
+    return test_pairs
+
+
+def get_test_cases_multiple(file_name: str = 'data_text_normalization/test_cases_normalize_with_audio.txt'):
+    """
+    Prepares tests pairs for audio based TN tests
+    """
+    test_pairs = []
+    with open(os.path.dirname(os.path.abspath(__file__)) + os.path.sep + file_name, 'r') as f:
+        written = None
+        normalized_options = []
+        for line in f:
+            if line.startswith('~'):
+                if written:
+                    test_pairs.append((written, normalized_options))
+                    normalized_options = []
+                written = line.strip().replace('~', '')
+            else:
+                normalized_options.append(line.strip())
+    test_pairs.append((written, normalized_options))
+    return test_pairs