def test_read_after_close(self):
samplerate = 0 # use native samplerate
hop_size = 256
f = source(default_test_sound, samplerate, hop_size)
read, frames = f()
f.close()
with assert_raises(RuntimeError):
read, frames = f()
with assert_raises(RuntimeError):
read, frames = f.do_multi()
def test_read_after_close(self):
samplerate = 0 # use native samplerate
hop_size = 256
f = source(default_test_sound, samplerate, hop_size)
read, frames = f()
f.close()
with assert_raises(RuntimeError):
read, frames = f()
with assert_raises(RuntimeError):
read, frames = f.do_multi()
def test_process_2d_bounds():
# behavior: _process_2d_bounds accepts all possible ways to set x and y
# bounds in 2d plots and returns a 1d array with equally spaced
# intervals between the lower and upper bound of the data. The number
# of elements in the 1d array must be of one element larger than the
# shape of the data, because it includes the upper bound.
height, width = 20, 10
array_data = np.ones(shape=(height, width))
plot = Plot()
# bounds is None : infer from array_data shape
xs = plot._process_2d_bounds(None, array_data, 1)
assert xs.shape[0] == width + 1
ys = plot._process_2d_bounds(None, array_data, 0)
assert ys.shape[0] == height + 1
# bounds is a tuple : it defines lower and upper range
bounds = (1.0, 100.0)
xs = plot._process_2d_bounds(bounds, array_data, 1)
assert xs.shape[0] == width + 1
assert xs[0] == bounds[0] and xs[-1] == bounds[1]
# bounds is a 1D array: the first and last elements are used to create
# equally spaced intervals. Bounds must be of one element larger than the
# corresponding axis in array_data, or it will raise a Value error
bounds = np.zeros((height + 1, ))
bounds[0], bounds[-1] = 0.2, 21.3
ys = plot._process_2d_bounds(bounds, array_data, 0)
assert ys.shape[0] == height + 1
assert ys[0] == bounds[0] and ys[-1] == bounds[-1]
with assert_raises(ValueError):
bounds = np.zeros((width // 2, ))
plot._process_2d_bounds(bounds, array_data, 0)
# bounds is a 2D array: the first and last elements along the appropriate
# axis are used to create equally spaced intervals.
# The size of the bounds must be the same as the data array, or this
# sill raise a ValueError
xbounds, ybounds = np.meshgrid(np.arange(width), np.arange(height))
xs = plot._process_2d_bounds(xbounds, array_data, 1)
assert xs.shape[0] == width + 1
assert xs[0] == xbounds[0, 0] and xs[-2] == xbounds[0, -1]
with assert_raises(ValueError):
plot._process_2d_bounds(xbounds[:5, :], array_data, 1)
ys = plot._process_2d_bounds(ybounds, array_data, 0)
assert ys.shape[0] == height + 1
assert ys[0] == ybounds[0, 0] and ys[-2] == ybounds[-1, 0]
def test_process_2d_bounds():
# behavior: _process_2d_bounds accepts all possible ways to set x and y
# bounds in 2d plots and returns a 1d array with equally spaced
# intervals between the lower and upper bound of the data. The number
# of elements in the 1d array must be of one element larger than the
# shape of the data, because it includes the upper bound.
height, width = 20, 10
array_data = np.ones(shape=(height, width))
plot = Plot()
# bounds is None : infer from array_data shape
xs = plot._process_2d_bounds(None, array_data, 1)
assert xs.shape[0] == width + 1
ys = plot._process_2d_bounds(None, array_data, 0)
assert ys.shape[0] == height + 1
# bounds is a tuple : it defines lower and upper range
bounds = (1.0, 100.0)
xs = plot._process_2d_bounds(bounds, array_data, 1)
assert xs.shape[0] == width + 1
assert xs[0] == bounds[0] and xs[-1] == bounds[1]
# bounds is a 1D array: the first and last elements are used to create
# equally spaced intervals. Bounds must be of one element larger than the
# corresponding axis in array_data, or it will raise a Value error
bounds = np.zeros((height+1, ))
bounds[0], bounds[-1] = 0.2, 21.3
ys = plot._process_2d_bounds(bounds, array_data, 0)
assert ys.shape[0] == height + 1
assert ys[0] == bounds[0] and ys[-1] == bounds[-1]
with assert_raises(ValueError):
bounds = np.zeros((width // 2, ))
plot._process_2d_bounds(bounds, array_data, 0)
# bounds is a 2D array: the first and last elements along the appropriate
# axis are used to create equally spaced intervals.
# The size of the bounds must be the same as the data array, or this
# sill raise a ValueError
xbounds, ybounds = np.meshgrid(np.arange(width), np.arange(height))
xs = plot._process_2d_bounds(xbounds, array_data, 1)
assert xs.shape[0] == width + 1
assert xs[0] == xbounds[0,0] and xs[-2] == xbounds[0,-1]
with assert_raises(ValueError):
plot._process_2d_bounds(xbounds[:5,:], array_data, 1)
ys = plot._process_2d_bounds(ybounds, array_data, 0)
assert ys.shape[0] == height + 1
assert ys[0] == ybounds[0,0] and ys[-2] == ybounds[-1,0]
def test_wrong_seek_too_large(self):
f = source(default_test_sound)
try:
with assert_raises(ValueError):
f.seek(f.duration + f.samplerate * 10)
except:
skipTest('seeking after end of stream failed raising ValueError')
def test_wrong_seek_too_large(self):
f = source(default_test_sound)
try:
with assert_raises(ValueError):
f.seek(f.duration + f.samplerate * 10)
except:
skipTest('seeking after end of stream failed raising ValueError')
def test_note2midi_unknown_values(self, note):
" unknown values throw out an error "
assert_raises(ValueError, note2midi, note)
def test_note2midi_unknown_values(self, note):
" unknown values throw out an error "
assert_raises(ValueError, note2midi, note)
def test_midi2note_floating_value(self):
" fails when passed a floating point "
assert_raises(TypeError, midi2note, 69.2)
def test_midi2note_negative_value(self):
" fails when passed a negative value "
assert_raises(ValueError, midi2note, -2)
def test_midi2note_floating_value(self):
" fails when passed a floating point "
assert_raises(TypeError, midi2note, 69.2)
def test_midi2note_negative_value(self):
" fails when passed a negative value "
assert_raises(ValueError, midi2note, -2)
def test_wrong_channels(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 44100, -1)
def test_wrong_file(self):
with assert_raises(RuntimeError):
source('path_to/unexisting file.mp3')
def test_wrong_channels(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 44100, -1)
def test_wrong_seek(self):
f = source(default_test_sound)
with assert_raises(ValueError):
f.seek(-1)
def test_wrong_channels(self):
with assert_raises(ValueError):
source(default_test_sound, 0, 0, -1)
def test_wrong_hop_size(self):
with assert_raises(ValueError):
source(default_test_sound, 0, -1)
def test_wrong_samplerate(self):
with assert_raises(ValueError):
source(default_test_sound, -1)
def test_wrong_file(self):
with assert_raises(RuntimeError):
source('path_to/unexisting file.mp3')
def test_wrong_samplerate(self):
with assert_raises(ValueError):
source(default_test_sound, -1)
def test_wrong_samplerate_too_large(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 1536001, 2)
def test_wrong_hop_size(self):
with assert_raises(ValueError):
source(default_test_sound, 0, -1)
def test_wrong_channels_too_large(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 44100, 202020)
def test_wrong_channels(self):
with assert_raises(ValueError):
source(default_test_sound, 0, 0, -1)
def test_midi2note_large(self):
" fails when passed a value greater than 127 "
assert_raises(ValueError, midi2note, 128)
def test_wrong_seek(self):
f = source(default_test_sound)
with assert_raises(ValueError):
f.seek(-1)
def test_midi2note_character_value(self):
" fails when passed a value that can not be transformed to integer "
assert_raises(TypeError, midi2note, "a")
def test_wrong_filename(self):
with assert_raises(RuntimeError):
sink('')
def test_midi2note_large(self):
" fails when passed a value greater than 127 "
assert_raises(ValueError, midi2note, 128)
def test_wrong_samplerate_too_large(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 1536001, 2)
def test_midi2note_character_value(self):
" fails when passed a value that can not be transformed to integer "
assert_raises(TypeError, midi2note, "a")
def test_wrong_filename(self):
with assert_raises(RuntimeError):
sink('')
def test_wrong_samplerate(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), -1)
def test_wrong_samplerate(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), -1)
def test_read_only_member(self, name):
o = mfcc()
with assert_raises((TypeError, AttributeError)):
setattr(o, name, 0)
def test_wrong_channels_too_large(self):
with assert_raises(RuntimeError):
sink(get_tmp_sink_path(), 44100, 202020)