Taiko_Stuff/tja2fumen
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tests/: Compare only the non-empty measures

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This commit is contained in:
Viv 2023-06-29 15:39:39 -04:00
parent 0bef98c10d
commit 305b70eb27
2 changed files with 12 additions and 3 deletions
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11
src/tja2fumen/parsers.py
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@ -279,7 +279,7 @@ def applyFumenStructureToParsedTJA(globalHeader, courseHeader, measures):
# TODO: Figure out what the unknown Wii1, Wii4, and PS4 notes represent (just in case they're important somehow)
def readFumen(fumenFile, byteOrder=None):
def readFumen(fumenFile, byteOrder=None, exclude_empty_measures=False):
"""
Parse bytes of a fumen .bin file into nested measure, branch, and note dictionaries.
@ -432,4 +432,13 @@ def readFumen(fumenFile, byteOrder=None):
break
file.close()
# NB: Official fumens often include empty measures as a way of inserting barlines for visual effect.
# But, TJA authors tend not to add these empty measures, because even without them, the song plays correctly.
# So, in tests, if we want to only compare the timing of the non-empty measures between an official fumen and
# a converted non-official TJA, then it's useful to exclude the empty measures.
if exclude_empty_measures:
song['measures'] = [m for m in song['measures']
if m['normal']['length'] or m['advanced']['length'] or m['master']['length']]
return song

4
testing/test_conversion.py
View File

@ -56,8 +56,8 @@ def test_converted_tja_vs_cached_fumen(id_song, tmp_path, entry_point):
i_difficult_id = os.path.basename(path_out).split(".")[0].split("_")[1]
i_difficulty = NORMALIZE_COURSE[{v: k for k, v in COURSE_IDS.items()}[i_difficult_id]] # noqa
# 0. Read fumen data (converted vs. cached)
co_song = readFumen(path_out)
ca_song = readFumen(os.path.join(path_bin, os.path.basename(path_out)))
co_song = readFumen(path_out, exclude_empty_measures=True)
ca_song = readFumen(os.path.join(path_bin, os.path.basename(path_out)), exclude_empty_measures=True)
# 1. Check song headers
checkValidHeader(co_song['headerPadding']+co_song['headerMetadata'], strict=True)
checkValidHeader(ca_song['headerPadding']+ca_song['headerMetadata'])