fix test data import to use module

test/data_hello_hiho.py

@@ -1,14 +1,14 @@
 from voicevox_engine.acoustic_feature_extractor import OjtPhoneme
 from voicevox_engine.model import AccentPhrase, Mora
 
-str_list_hello_hiho = "sil k o N n i ch i w a pau h i h o d e s U sil".split()
+str_list = "sil k o N n i ch i w a pau h i h o d e s U sil".split()
 
-phoneme_data_list_hello_hiho = [
+phoneme_data_list = [
     OjtPhoneme(phoneme=p, start=i, end=i + 1)
     for i, p in enumerate("pau k o N n i ch i w a pau h i h o d e s U pau".split())
 ]
 
-accent_phrases_hello_hiho = [
+accent_phrases = [
     AccentPhrase(
         moras=[
             Mora(

test/synthesis_engine/mora/test_pre_process.py

@@ -4,20 +4,20 @@
 from voicevox_engine.acoustic_feature_extractor import OjtPhoneme
 from voicevox_engine.synthesis_engine.mora import pre_process
 
-from ...data_hello_hiho import accent_phrases_hello_hiho
+from ... import data_hello_hiho
 
 
 class TestPreProcess(TestCase):
     def test_pre_process(self):
         flatten_moras, phoneme_data_list = pre_process(
-            deepcopy(accent_phrases_hello_hiho)
+            deepcopy(data_hello_hiho.accent_phrases)
         )
 
         mora_index = 0
         phoneme_index = 1
 
         self.assertEqual(phoneme_data_list[0], OjtPhoneme("pau", 0, 1))
-        for accent_phrase in accent_phrases_hello_hiho:
+        for accent_phrase in data_hello_hiho.accent_phrases:
             moras = accent_phrase.moras
             for mora in moras:
                 self.assertEqual(flatten_moras[mora_index], mora)

test/synthesis_engine/mora/test_split_mora.py

@@ -3,13 +3,13 @@
 from voicevox_engine.acoustic_feature_extractor import OjtPhoneme
 from voicevox_engine.synthesis_engine.mora import split_mora
 
-from ...data_hello_hiho import phoneme_data_list_hello_hiho
+from ... import data_hello_hiho
 
 
 class TestSplitMora(TestCase):
     def test_split_mora(self):
         consonant_phoneme_list, vowel_phoneme_list, vowel_indexes = split_mora(
-            phoneme_data_list_hello_hiho
+            data_hello_hiho.phoneme_data_list
         )
 
         self.assertEqual(vowel_indexes, [0, 2, 3, 5, 7, 9, 10, 12, 14, 16, 18, 19])

test/synthesis_engine/mora/test_to_flatten_moras.py

@@ -2,15 +2,15 @@
 
 from voicevox_engine.synthesis_engine.mora import to_flatten_moras
 
-from ...data_hello_hiho import accent_phrases_hello_hiho
+from ... import data_hello_hiho
 
 
 class TestToFlattenMoras(TestCase):
     def test_to_flatten_moras(self):
-        flatten_moras = to_flatten_moras(accent_phrases_hello_hiho)
+        flatten_moras = to_flatten_moras(data_hello_hiho.accent_phrases)
         self.assertEqual(
             flatten_moras,
-            accent_phrases_hello_hiho[0].moras
-            + [accent_phrases_hello_hiho[0].pause_mora]
-            + accent_phrases_hello_hiho[1].moras,
+            data_hello_hiho.accent_phrases[0].moras
+            + [data_hello_hiho.accent_phrases[0].pause_mora]
+            + data_hello_hiho.accent_phrases[1].moras,
         )

test/synthesis_engine/mora/test_to_phoneme_data_list.py

@@ -2,10 +2,10 @@
 
 from voicevox_engine.synthesis_engine.mora import to_phoneme_data_list
 
-from ...data_hello_hiho import phoneme_data_list_hello_hiho, str_list_hello_hiho
+from ... import data_hello_hiho
 
 
 class TestToPhonemeDataList(TestCase):
     def test_to_phoneme_data_list(self):
-        phoneme_data_list = to_phoneme_data_list(str_list_hello_hiho)
-        self.assertEqual(phoneme_data_list, phoneme_data_list_hello_hiho)
+        phoneme_data_list = to_phoneme_data_list(data_hello_hiho.str_list)
+        self.assertEqual(phoneme_data_list, data_hello_hiho.phoneme_data_list)

test/synthesis_engine/test_synthesis_engine.py

@@ -12,7 +12,7 @@
 from voicevox_engine.synthesis_engine import SynthesisEngine
 from voicevox_engine.synthesis_engine.mora import unvoiced_mora_phoneme_list
 
-from ..data_hello_hiho import accent_phrases_hello_hiho
+from .. import data_hello_hiho
 
 
 def yukarin_s_mock(length: int, phoneme_list: numpy.ndarray, speaker_id: numpy.ndarray):
@@ -89,7 +89,7 @@ def setUp(self):
 
     def test_replace_phoneme_length(self):
         result = self.synthesis_engine.replace_phoneme_length(
-            accent_phrases=deepcopy(accent_phrases_hello_hiho), speaker_id=1
+            accent_phrases=deepcopy(data_hello_hiho.accent_phrases), speaker_id=1
         )
 
         # yukarin_sに渡される値の検証
@@ -129,7 +129,7 @@ def test_replace_phoneme_length(self):
         self.assertEqual(yukarin_s_args["speaker_id"], 1)
 
         # flatten_morasを使わずに愚直にaccent_phrasesにデータを反映させてみる
-        true_result = deepcopy(accent_phrases_hello_hiho)
+        true_result = deepcopy(data_hello_hiho.accent_phrases)
         index = 1
 
         def result_value(i: int):
@@ -160,7 +160,7 @@ def test_replace_mora_pitch(self):
         )
 
         result = self.synthesis_engine.replace_mora_pitch(
-            accent_phrases=deepcopy(accent_phrases_hello_hiho), speaker_id=1
+            accent_phrases=deepcopy(data_hello_hiho.accent_phrases), speaker_id=1
         )
 
         # yukarin_saに渡される値の検証
@@ -233,7 +233,7 @@ def test_replace_mora_pitch(self):
         )
 
         # flatten_morasを使わずに愚直にaccent_phrasesにデータを反映させてみる
-        true_result = deepcopy(accent_phrases_hello_hiho)
+        true_result = deepcopy(data_hello_hiho.accent_phrases)
         index = 1
 
         def result_value(i: int):
@@ -388,7 +388,7 @@ def synthesis_test_base(self, audio_query: AudioQuery):
 
     def test_synthesis(self):
         audio_query = AudioQuery(
-            accent_phrases=deepcopy(accent_phrases_hello_hiho),
+            accent_phrases=deepcopy(data_hello_hiho.accent_phrases),
             speedScale=1.0,
             pitchScale=1.0,
             intonationScale=1.0,