1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
|
"""Unit tests for input/output functions"""
import numpy as np
import json
import mir_eval
import warnings
import pathlib
import tempfile
import pytest
def test_load_delimited():
# Test for ValueError when a non-string or file handle is passed
with pytest.raises(IOError):
mir_eval.io.load_delimited(None, [int])
# Test for a value error when the wrong number of columns is passed
with tempfile.TemporaryFile("r+") as f:
f.write("10 20")
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_delimited(f, [int, int, int])
# Test for a value error on conversion failure
with tempfile.TemporaryFile("r+") as f:
f.write("10 a 30")
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_delimited(f, [int, int, int])
def test_load_delimited_commented():
with tempfile.TemporaryFile("r+") as f:
f.write("; some comment\n10 20\n30 50")
f.seek(0)
col1, col2 = mir_eval.io.load_delimited(f, [int, int], comment=";")
assert np.allclose(col1, [10, 30])
assert np.allclose(col2, [20, 50])
# Rewind and try with the default comment character
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_delimited(f, [int, int])
# Rewind and try with no comment support
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_delimited(f, [int, int], comment=None)
def test_load_delimited_nocomment():
with tempfile.TemporaryFile("r+") as f:
f.write("10 20\n30 50")
f.seek(0)
col1, col2 = mir_eval.io.load_delimited(f, [int, int])
assert np.allclose(col1, [10, 30])
assert np.allclose(col2, [20, 50])
# Rewind and try with a different comment char
f.seek(0)
col1, col2 = mir_eval.io.load_delimited(f, [int, int], comment=";")
assert np.allclose(col1, [10, 30])
assert np.allclose(col2, [20, 50])
# Rewind and try with no different comment string
f.seek(0)
col1, col2 = mir_eval.io.load_delimited(f, [int, int], comment=None)
assert np.allclose(col1, [10, 30])
assert np.allclose(col2, [20, 50])
@pytest.mark.parametrize(
"file_or_path", ["data/beat/ref01.txt", pathlib.Path("data/beat/ref01.txt")]
)
def test_load_delimited_file_or_path(file_or_path):
# Tests the load_delimited routine with either a string or a
# pathlib.Path object as the first argument
data = mir_eval.io.load_delimited(file_or_path, [float])
assert len(data) == 635
def test_load_events():
# Test for a warning when invalid events are supplied
with tempfile.TemporaryFile("r+") as f:
with pytest.warns(UserWarning, match="Events should be in increasing order."):
# Non-increasing is invalid
f.write("10\n9")
f.seek(0)
events = mir_eval.io.load_events(f)
# Make sure events were read in correctly
assert np.all(events == [10, 9])
def test_load_labeled_events():
# Test for a value error when invalid labeled events are supplied
with tempfile.TemporaryFile("r+") as f:
with pytest.warns(UserWarning, match="Events should be in increasing order."):
# Non-increasing is invalid
f.write("10 a\n9 b")
f.seek(0)
events, labels = mir_eval.io.load_labeled_events(f)
# Make sure events were read in correctly
assert np.all(events == [10, 9])
# Make sure labels were read in correctly
assert labels == ["a", "b"]
def test_load_intervals():
# Test for a value error when invalid labeled events are supplied
with tempfile.TemporaryFile("r+") as f:
with pytest.warns(
UserWarning, match="All interval durations must be strictly positive"
):
# Non-increasing is invalid
f.write("10 9\n9 10")
f.seek(0)
intervals = mir_eval.io.load_intervals(f)
# Make sure intervals were read in correctly
assert np.all(intervals == [[10, 9], [9, 10]])
def test_load_labeled_intervals():
# Test for a value error when invalid labeled events are supplied
with tempfile.TemporaryFile("r+") as f:
with pytest.warns(
UserWarning, match="All interval durations must be strictly positive"
):
# Non-increasing is invalid
f.write("10 9 a\n9 10 b")
f.seek(0)
intervals, labels = mir_eval.io.load_labeled_intervals(f)
# Make sure intervals were read in correctly
assert np.all(intervals == [[10, 9], [9, 10]])
assert labels == ["a", "b"]
def test_load_valued_intervals():
# Test for a value error when invalid valued events are supplied
with tempfile.TemporaryFile("r+") as f:
with pytest.warns(
UserWarning, match="All interval durations must be strictly positive"
):
# Non-increasing is invalid
f.write("10 9 5\n9 10 6")
f.seek(0)
intervals, values = mir_eval.io.load_valued_intervals(f)
# Make sure intervals were read in correctly
assert np.all(intervals == [[10, 9], [9, 10]])
assert np.all(values == [5, 6])
def test_load_ragged_time_series():
# Test for ValueError when a non-string or file handle is passed
with pytest.raises(IOError):
mir_eval.io.load_ragged_time_series(None, float, header=False)
# Test for a value error on conversion failure
with tempfile.TemporaryFile("r+") as f:
f.write("10 a 30")
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_ragged_time_series(f, float, header=False)
# Test for a value error on invalid time stamp
with tempfile.TemporaryFile("r+") as f:
f.write("a 10 30")
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_ragged_time_series(f, int, header=False)
# Test for a value error on invalid time stamp with header
with tempfile.TemporaryFile("r+") as f:
f.write("x y z\na 10 30")
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_ragged_time_series(f, int, header=True)
with tempfile.TemporaryFile("r+") as f:
f.write("#comment\n0 1 2\n3 4\n# comment\n5 6 7")
f.seek(0)
times, values = mir_eval.io.load_ragged_time_series(
f, int, header=False, comment="#"
)
assert np.allclose(times, [0, 3, 5])
assert np.allclose(values[0], [1, 2])
assert np.allclose(values[1], [4])
assert np.allclose(values[2], [6, 7])
# Rewind with a wrong comment string
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_ragged_time_series(f, int, header=False, comment="%")
# Rewind with no comment string
f.seek(0)
with pytest.raises(ValueError):
mir_eval.io.load_ragged_time_series(f, int, header=False, comment=None)
def test_load_tempo():
# Test the tempo loader
tempi, weight = mir_eval.io.load_tempo("data/tempo/ref01.lab")
assert np.allclose(tempi, [60, 120])
assert weight == 0.5
@pytest.mark.xfail(raises=ValueError)
def test_load_tempo_multiline():
tempi, weight = mir_eval.io.load_tempo("data/tempo/bad00.lab")
@pytest.mark.xfail(raises=ValueError)
def test_load_tempo_badweight():
tempi, weight = mir_eval.io.load_tempo("data/tempo/bad01.lab")
def test_load_bad_tempi():
with pytest.warns(UserWarning, match="non-negative numbers"):
tempi, weight = mir_eval.io.load_tempo("data/tempo/bad02.lab")
|
