def test_load_phrases():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
phrases_path = track.phrases_path
parsed_phrases = saraga_hindustani.load_phrases(phrases_path)
# Check types
assert type(parsed_phrases) is annotations.EventData
assert type(parsed_phrases.intervals) is np.ndarray
assert type(parsed_phrases.events) is list
# Check values
assert np.array_equal(
parsed_phrases.intervals,
np.array(
[
[3.506213151, 10.890158729],
[12.538775510, 18.924263038],
[23.382494331, 32.252517006],
]
),
)
assert parsed_phrases.events == ["Pmr", "PnS", "rmP"]
assert saraga_hindustani.load_phrases(None) is None
# Test phrases with no information
track = dataset.track("71_Bilaskhani_Todi")
phrases_path = track.phrases_path
parsed_phrases_add = saraga_hindustani.load_phrases(phrases_path)
assert parsed_phrases_add.events == ["rg", ""]
def test_load_sections():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
sections_path = track.sections_path
parsed_sections = saraga_hindustani.load_sections(sections_path)
# Check types
assert type(parsed_sections) == annotations.SectionData
assert type(parsed_sections.intervals) is np.ndarray
assert type(parsed_sections.labels) is list
# Check values
assert np.array_equal(
parsed_sections.intervals[:, 0], np.array([3.298, 59.49, 679.834])
)
assert np.array_equal(
parsed_sections.intervals[:, 1],
np.array([59.49, 679.8340000000001, 898.664489796]),
)
assert parsed_sections.labels == [
"Ālāp-1",
"Khyāl (vilambit ēktāl)-2",
"Khyāl (dr̥t ēktāl)-3",
]
assert saraga_hindustani.load_sections(None) is None
# Test empty sections
track = dataset.track("71_Bilaskhani_Todi")
sections_path = track.sections_path
parsed_empty_sections = saraga_hindustani.load_sections(sections_path)
assert parsed_empty_sections is None
def test_track():
default_trackid = "59_Bairagi"
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track(default_trackid)
expected_attributes = {
"track_id":
"59_Bairagi",
"title":
"Bairagi",
"audio_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+ "Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.mp3.mp3",
"ctonic_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+
"Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.ctonic.txt",
"pitch_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+ "Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.pitch.txt",
"tempo_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+
"Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.tempo-manual.txt",
"sama_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+
"Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.sama-manual.txt",
"sections_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+
"Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.sections-manual-p.txt",
"phrases_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+
"Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.mphrases-manual.txt",
"metadata_path":
"tests/resources/mir_datasets/saraga_hindustani/saraga1.5_hindustani/"
+ "Geetinandan : Part-3 by Ajoy Chakrabarty/Bairagi/Bairagi.json",
}
expected_property_types = {
"tempo": dict,
"phrases": annotations.EventData,
"pitch": annotations.F0Data,
"sama": annotations.BeatData,
"sections": annotations.SectionData,
"tonic": float,
"metadata": dict,
"audio": tuple,
}
run_track_tests(track, expected_attributes, expected_property_types)
# test audio loading functions
audio, sr = track.audio
assert sr == 44100
assert audio.shape[0] == 2
def test_load_tonic():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
tonic_path = track.ctonic_path
parsed_tonic = saraga_hindustani.load_tonic(tonic_path)
assert parsed_tonic == 138.591315
assert saraga_hindustani.load_tonic(None) is None
def test_load_audio():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
audio_path = track.audio_path
audio, sr = saraga_hindustani.load_audio(audio_path)
assert sr == 44100
assert type(audio) == np.ndarray
assert audio.shape[0] == 2
assert saraga_hindustani.load_audio(None) is None
def test_to_jams():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
jam = track.to_jams()
assert jam["sandbox"].tonic == 138.591315
# Tempo
parsed_tempo = jam["sandbox"].tempo
assert parsed_tempo == {
"Ālāp": {
"tempo": -1,
"matra_interval": -1,
"sama_interval": -1,
"matras_per_cycle": -1,
"start_time": 3.298,
"duration": 58.236,
},
"Khyāl (vilambit ēktāl)": {
"tempo": 13,
"matra_interval": 4.605,
"sama_interval": 55.265,
"matras_per_cycle": 12,
"start_time": 59.49,
"duration": 678.009,
},
"Khyāl (dr̥t ēktāl)": {
"tempo": 185,
"matra_interval": 0.324,
"sama_interval": 3.885,
"matras_per_cycle": 12,
"start_time": 679.834,
"duration": 894.433,
},
}
# Sections
sections = jam.search(namespace="segment_open")[0]["data"]
assert [section.time for section in sections] == [3.298, 59.49, 679.834]
assert [section.duration for section in sections] == [
56.192,
620.344,
218.83048979600005,
]
assert [section.value for section in sections] == [
"Ālāp-1",
"Khyāl (vilambit ēktāl)-2",
"Khyāl (dr̥t ēktāl)-3",
]
assert [section.confidence for section in sections] == [None, None, None]
def test_load_pitch():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
pitch_path = track.pitch_path
parsed_pitch = saraga_hindustani.load_pitch(pitch_path)
# Check types
assert type(parsed_pitch) == annotations.F0Data
assert type(parsed_pitch.times) is np.ndarray
assert type(parsed_pitch.frequencies) is np.ndarray
assert type(parsed_pitch.confidence) is np.ndarray
# Check values
assert np.array_equal(
parsed_pitch.times,
np.array(
[
0.0,
0.0044444444444444444,
0.008888888888888889,
0.013333333333333334,
0.017777777777777778,
0.022222222222222223,
]
),
)
assert np.array_equal(
parsed_pitch.frequencies,
np.array(
[
0.0,
11.111111111111111111,
222.22222222222222222,
333.333333333333333333,
444.444444444444444444,
0.0,
]
),
)
assert np.array_equal(
parsed_pitch.confidence, np.array([0.0, 1.0, 1.0, 1.0, 1.0, 0.0])
)
assert saraga_hindustani.load_pitch(None) is None
def test_load_tempo():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
tempo_path = track.tempo_path
parsed_tempo = saraga_hindustani.load_tempo(tempo_path)
print(parsed_tempo)
assert type(parsed_tempo) == dict
assert type(parsed_tempo["Ālāp"]) == dict
assert type(parsed_tempo["Ālāp"]["tempo"]) == int
assert type(parsed_tempo["Ālāp"]["duration"]) == float
assert parsed_tempo == {
"Ālāp": {
"tempo": -1,
"matra_interval": -1,
"sama_interval": -1,
"matras_per_cycle": -1,
"start_time": 3.298,
"duration": 58.236,
},
"Khyāl (vilambit ēktāl)": {
"tempo": 13,
"matra_interval": 4.605,
"sama_interval": 55.265,
"matras_per_cycle": 12,
"start_time": 59.49,
"duration": 678.009,
},
"Khyāl (dr̥t ēktāl)": {
"tempo": 185,
"matra_interval": 0.324,
"sama_interval": 3.885,
"matras_per_cycle": 12,
"start_time": 679.834,
"duration": 894.433,
},
}
assert saraga_hindustani.load_tempo(None) is None
def test_load_sama():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
sama_path = track.sama_path
parsed_sama = saraga_hindustani.load_sama(sama_path)
# Check types
assert type(parsed_sama) == annotations.BeatData
assert type(parsed_sama.times) is np.ndarray
assert type(parsed_sama.positions) is np.ndarray
# Check values
assert np.array_equal(parsed_sama.times,
np.array([68.385, 123.804, 179.069, 234.339]))
assert np.array_equal(parsed_sama.positions, np.array([1, 1, 1, 1]))
assert saraga_hindustani.load_sama(None) is None
# Test empty sama
track = dataset.track("71_Bilaskhani_Todi")
sama_path = track.sama_path
parsed_empty_sama = saraga_hindustani.load_sama(sama_path)
assert parsed_empty_sama is None
def test_load_metadata():
data_home = "tests/resources/mir_datasets/saraga_hindustani"
dataset = saraga_hindustani.Dataset(data_home)
track = dataset.track("59_Bairagi")
metadata_path = track.metadata_path
parsed_metadata = saraga_hindustani.load_metadata(metadata_path)
assert parsed_metadata["title"] == "Bairagi"
assert parsed_metadata["raags"] == [
{
"common_name": "Bairagi",
"uuid": "b143adaa-f1a6-4de4-8985-a5bd35e96279",
"name": "Bairāgi",
}
]
assert parsed_metadata["length"] == 899469
assert parsed_metadata["album_artists"] == [
{"mbid": "653fa2f8-85f8-4829-871f-7c2506ea9b48", "name": "Ajoy Chakrabarty"}
]
assert parsed_metadata["forms"] == [
{
"common_name": "Khayal",
"uuid": "7ed81b92-aea6-4f4b-bffb-c12d80012d37",
"name": "Khyāl",
}
]
assert parsed_metadata["mbid"] == "b71c2774-2532-4692-8761-5452e2a83118"
assert parsed_metadata["artists"] == [
{
"instrument": {
"mbid": "d92884b7-ee0c-46d5-96f3-918196ba8c5b",
"name": "Voice",
},
"attributes": "lead vocals",
"lead": True,
"artist": {
"mbid": "653fa2f8-85f8-4829-871f-7c2506ea9b48",
"name": "Ajoy Chakrabarty",
},
},
{
"instrument": {
"mbid": "c43c7647-077d-4d60-a01b-769de71b82f2",
"name": "Harmonium",
},
"attributes": "",
"lead": False,
"artist": {
"mbid": "afbb34e8-1f87-4dd4-81ec-b6145af4d72f",
"name": "Paromita Mukherjee",
},
},
{
"instrument": {
"mbid": "18e6998b-e53b-415b-b484-d3ac286da99d",
"name": "Tabla",
},
"attributes": "",
"lead": False,
"artist": {
"mbid": "beee80e6-aa99-451c-9edb-dcda8c2fce8a",
"name": "Indranil Bhaduri",
},
},
]
assert parsed_metadata["release"] == [
{
"mbid": "ae0f2366-9a4f-4534-9376-ac123e881f64",
"title": "Geetinandan : Part-3",
}
]
assert parsed_metadata["works"] == [
{
"mbid": "b8925ff6-9c8f-4184-8fc8-d358cfdea79b",
"title": "Mere Maname Baso Ram Abhiram Puran Ho Sab Kaam",
},
{"mbid": "d7a184c3-0187-4912-8708-8d12a4bd9b0a", "title": "Bar Bar Har Gai"},
]
assert parsed_metadata["taals"] == [
{
"common_name": "Ektaal",
"uuid": "7cb20903-5f64-4f15-8713-2fb4fcca2b5b",
"name": "ēktāl",
},
{
"common_name": "Ektaal",
"uuid": "7cb20903-5f64-4f15-8713-2fb4fcca2b5b",
"name": "ēktāl",
},
]
assert parsed_metadata["layas"] == [
{
"common_name": "Vilambit",
"uuid": "ee58d24a-60aa-4b16-bfcf-edd105118738",
"name": "Vilaṁbit",
}
]