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alessandro trinca tornidor
test: updated tests to match pronunciation_accuracy float return type
baf2993
import unittest | |
import numpy as np | |
from tests import EVENTS_FOLDER | |
from aip_trainer import app_logger | |
class TestUtilities(unittest.TestCase): | |
def test_hash_calculate_not_file(self): | |
from aip_trainer.utils.utilities import hash_calculate | |
size = 5 | |
input_arr = np.arange(size**2).reshape((size, size)) | |
hash_output = hash_calculate(input_arr, is_file=False) | |
self.assertEqual(hash_output, b'KgoWp86FwhH2tuinWOfsCfn9d+Iw6B10wwqFfdUeLeY=') | |
hash_output = hash_calculate({"arr": input_arr}, is_file=False) | |
self.assertEqual(hash_output, b'M/EYsBPRQLVP9T299xHyOrtT7bdCkIDaMmW2hslMays=') | |
hash_output = hash_calculate("a test string...", is_file=False) | |
self.assertEqual(hash_output, b'29a8JwujQklQ6MKQhPyix6G1i/7Pp0uUg5wFybKuCC0=') | |
hash_output = hash_calculate("123123123", is_file=False) | |
self.assertEqual(hash_output, b'ky88G1YlfOhTmsJp16q0JVDaz4gY0HXwvfGZBWKq4+8=') | |
hash_output = hash_calculate(b"a byte test string...", is_file=False) | |
self.assertEqual(hash_output, b'dgSt/jiqLk0HJ09Xqe/BWzMvnYiOqzWlcSCCfN767zA=') | |
with self.assertRaises(ValueError): | |
try: | |
hash_calculate(1, is_file=False) | |
except ValueError as ve: | |
self.assertEqual(str(ve), "variable 'arr':1 of type '<class 'int'>' not yet handled.") | |
raise ve | |
def test_hash_calculate_is_file(self): | |
from aip_trainer.utils.utilities import hash_calculate | |
output_hash = hash_calculate(EVENTS_FOLDER / "test_en.wav", is_file=True, read_mode="rb") | |
app_logger.info(f"output_hash test_en: {output_hash}") | |
assert b'Dsvmm+mj/opHnmKLT7wIqyhqMLeIuVP4hTWi+DAXS8Y=' == output_hash | |
output_hash = hash_calculate(EVENTS_FOLDER / "GetAccuracyFromRecordedAudio.json", is_file=True) | |
app_logger.info(f"output_hash json: {output_hash}") | |
assert b'i83jKpwzfcPitZsrHsnhyFt8xbc+DStpns9rb3vfigw=' == output_hash | |
if __name__ == '__main__': | |
unittest.main() | |