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import os
from pathlib import Path
from torchaudio.datasets import CMUDict
from torchaudio_unittest.common_utils import TempDirMixin, TorchaudioTestCase
def get_mock_dataset(root_dir, return_punc=False):
"""
root_dir: directory to the mocked dataset
"""
header = [
";;; # CMUdict -- Major Version: 0.07",
";;; ",
";;; # $HeadURL$",
]
puncs = [
"!EXCLAMATION-POINT EH2 K S K L AH0 M EY1 SH AH0 N P OY2 N T",
'"CLOSE-QUOTE K L OW1 Z K W OW1 T',
"#HASH-MARK HH AE1 M AA2 R K",
"%PERCENT P ER0 S EH1 N T",
"&ERSAND AE1 M P ER0 S AE2 N D",
"'END-INNER-QUOTE EH1 N D IH1 N ER0 K W OW1 T",
"(BEGIN-PARENS B IH0 G IH1 N P ER0 EH1 N Z",
")CLOSE-PAREN K L OW1 Z P ER0 EH1 N",
"+PLUS P L UH1 S",
",COMMA K AA1 M AH0",
"--DASH D AE1 SH",
"!EXCLAMATION-POINT EH2 K S K L AH0 M EY1 SH AH0 N P OY2 N T",
"/SLASH S L AE1 SH",
":COLON K OW1 L AH0 N",
";SEMI-COLON S EH1 M IY0 K OW1 L AH0 N",
"?QUESTION-MARK K W EH1 S CH AH0 N M AA1 R K",
"{BRACE B R EY1 S",
"}CLOSE-BRACE K L OW1 Z B R EY1 S",
"...ELLIPSIS IH2 L IH1 P S IH0 S",
]
punc_outputs = [
"!",
'"',
"#",
"%",
"&",
"'",
"(",
")",
"+",
",",
"--",
"!",
"/",
":",
";",
"?",
"{",
"}",
"...",
]
words = [
"3-D TH R IY1 D IY2",
"'BOUT B AW1 T",
"'CAUSE K AH0 Z",
"'TWAS T W AH1 Z",
"A AH0",
"B B IY1",
"C S IY1",
"D D IY1",
"E IY1",
"F EH1 F",
"G JH IY1",
"H EY1 CH",
"I AY1",
"J JH EY1",
"K K EY1",
"L EH1 L",
"M EH1 M",
"N EH1 N",
"O OW1",
"P P IY1",
"Q K Y UW1",
"R AA1 R",
"S EH1 S",
"T T IY1",
"U Y UW1",
"V V IY1",
"X EH1 K S",
"Y W AY1",
"Z Z IY1",
]
mocked_symbols = [
"AA1",
"AA2",
"AE1",
"AE2",
"AH0",
"AH1",
"AY1",
"B",
"CH",
"D",
"EH1",
"EH2",
"ER0",
"EY1",
"F",
"G",
"HH",
"IH0",
"IH1",
"IY0",
"IY1",
"IY2",
"JH",
"K",
"L",
"M",
"N",
"OW1",
"OY2",
"P",
"R",
"S",
"SH",
"T",
"TH",
"UH1",
"UW0",
"UW1",
"V",
"W",
"Y",
"Z",
]
dict_file = os.path.join(root_dir, "cmudict-0.7b")
symbol_file = os.path.join(root_dir, "cmudict-0.7b.symbols")
with open(dict_file, "w") as fileobj:
for section in [header, puncs, words]:
for line in section:
fileobj.write(line)
fileobj.write("\n")
with open(symbol_file, "w") as txt:
txt.write("\n".join(mocked_symbols))
mocked_data = []
if return_punc:
for i, ent in enumerate(puncs):
_, phones = ent.split(" ")
mocked_data.append((punc_outputs[i], phones.split(" ")))
for ent in words:
word, phones = ent.split(" ")
mocked_data.append((word, phones.split(" ")))
return mocked_data
class TestCMUDict(TempDirMixin, TorchaudioTestCase):
root_dir = None
root_punc_dir = None
samples = []
punc_samples = []
@classmethod
def setUpClass(cls):
cls.root_dir = os.path.join(cls.get_base_temp_dir(), "normal")
os.mkdir(cls.root_dir)
cls.samples = get_mock_dataset(cls.root_dir)
cls.root_punc_dir = os.path.join(cls.get_base_temp_dir(), "punc")
os.mkdir(cls.root_punc_dir)
cls.punc_samples = get_mock_dataset(cls.root_punc_dir, return_punc=True)
def _test_cmudict(self, dataset):
"""Test if the dataset is reading the mocked data correctly."""
n_item = 0
for i, (word, phones) in enumerate(dataset):
expected_word, expected_phones = self.samples[i]
assert word == expected_word
assert phones == expected_phones
n_item += 1
assert n_item == len(self.samples)
def _test_punc_cmudict(self, dataset):
"""Test if the dataset is reading the mocked data with punctuations correctly."""
n_item = 0
for i, (word, phones) in enumerate(dataset):
expected_word, expected_phones = self.punc_samples[i]
assert word == expected_word
assert phones == expected_phones
n_item += 1
assert n_item == len(self.punc_samples)
def test_cmuarctic_path_with_punctuation(self):
dataset = CMUDict(Path(self.root_punc_dir), exclude_punctuations=False)
self._test_punc_cmudict(dataset)
def test_cmuarctic_str_with_punctuation(self):
dataset = CMUDict(self.root_punc_dir, exclude_punctuations=False)
self._test_punc_cmudict(dataset)
def test_cmuarctic_path(self):
dataset = CMUDict(Path(self.root_punc_dir), exclude_punctuations=True)
self._test_cmudict(dataset)
def test_cmuarctic_str(self):
dataset = CMUDict(self.root_punc_dir, exclude_punctuations=True)
self._test_cmudict(dataset)
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