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5efaea1 86bcfb1 5efaea1 828afe0 5efaea1 828afe0 5efaea1 1f4c513 5efaea1 828afe0 5efaea1 fa2f948 5efaea1 | 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 | import base64
from io import BytesIO
import matplotlib.pyplot as plt
from pages.common import AUDIO_PATH
from scipy.io import wavfile
from toph.audio.effect import SimplePanner
from toph.audio.playable import Chain, Silence, SineWave, Wave
from toph.audio.spatial import SpatialPanner
from toph.audio.stage import AudioStage
from toph.axis.spatial import LinearSpatialAxis
def ax_gen(domain, range_):
do_scale = max(domain) - min(domain)
ra_scale = max(range_) - min(range_)
def foo(dp):
dx = dp - min(domain)
sdx = dx / do_scale
return min(range_) + sdx * ra_scale
return foo
def sonify_y_ax(xs, ys, mode, gaps=0.5):
""" """
with AudioStage() as stage:
space_ax = LinearSpatialAxis(
domain=((min(xs), max(xs)), (min(ys), max(ys))),
range_=((-50.0, 50.0), (-45.0, 90.0)),
)
# TODO: replace with linear axis when implemented
lin_ax = ax_gen(domain=(min(ys), max(ys)), range_=(110, 880))
simple_lr_ax = ax_gen(domain=(min(xs), max(xs)), range_=(-0.98, +0.99))
marks = []
for x, y in zip(xs, ys):
if mode == "full_spatial":
r, az, el = space_ax((x, y))
marks.extend(
[
Wave(AUDIO_PATH).add_effect(SpatialPanner(az, el, r * 2)),
Silence(secs=gaps),
]
)
elif mode == "pitch":
# keep the y as 0 to get a good r
az = simple_lr_ax(x)
freq = lin_ax(y)
print(az, freq)
marks.extend(
[
SineWave(vol=0.15, f=freq, secs=0.5).add_effect(
SimplePanner(dir=az)
),
Silence(secs=gaps),
]
)
elif mode == "both":
# keep the y as 0 to get a good r
r, az, el = space_ax((x, y))
freq = lin_ax(y)
marks.extend(
[
SineWave(vol=0.15, f=freq, secs=0.5).add_effect(
SpatialPanner(az, el, r)
),
Silence(secs=gaps),
]
)
return stage.get_ndarray(Chain(*marks))
def sonify_x_ax(xs, ys, x_mode, y_mode, gaps=0.5):
""" """
with AudioStage(frame_rate=48000) as stage:
# TODO: replace with linear axis when implemented
lin_ax = ax_gen(domain=(min(xs), max(xs)), range_=(-1.0, +1.0))
pitch_ax = ax_gen(domain=(min(ys), max(ys)), range_=(110, 880))
x_deltas = [xs[idx + 1] - xs[idx] for idx in range(len(xs) - 1)]
x_deltas.append(0.0)
gap_ax = ax_gen(domain=(min(x_deltas), max(x_deltas)), range_=(0.25, 1.25))
marks = []
for idx, (x, y) in enumerate(zip(xs, ys)):
audio_src = (
SineWave(vol=0.15, f=440, secs=0.5)
if y_mode == "static"
else SineWave(vol=0.15, f=pitch_ax(y), secs=0.5)
)
if x_mode == "spatial":
marks.extend(
[
audio_src.add_effect(SimplePanner(dir=lin_ax(x))),
Silence(secs=gaps),
]
)
elif x_mode == "gaps":
marks.append(audio_src)
if x_deltas[idx] > 0.0:
marks.append(Silence(secs=gap_ax(x_deltas[idx])))
return stage.get_ndarray(Chain(*marks))
def get_audio_comp(arr, frame_rate, visible=True, autoplay=False) -> str:
"""Takes an audio array
returns an audio component
"""
v_file = BytesIO()
wavfile.write(
v_file,
rate=frame_rate,
# todo: handle formats other than int16, make it better
data=arr,
)
v_file.seek(0)
b64 = base64.b64encode(v_file.read()).decode()
md = f"""<audio {"style='display: none'" if not visible else ''} controls {'autoplay="true"' if autoplay else ''}>
"""
src = f"""<source src="data:audio/wav;base64,{b64}" type="audio/wav">"""
return md + src + "</audio>"
SONIFICATION_FUNCTIONS = {"sonify_y_ax": sonify_y_ax, "sonify_x_ax": sonify_x_ax}
def plot_four(datasets, idxs, xlim=None, ylim=None, s=75):
fig, axes = plt.subplots(2, 2, figsize=(8, 8))
for i, ax in enumerate(axes.flat):
ax.scatter(datasets[idxs[i]]["x"], datasets[idxs[i]]["y"], s=100)
ax.set_title(f"Option {i + 1}")
ax.grid(True)
if xlim:
ax.set_xlim(xlim)
if ylim:
ax.set_ylim(ylim)
ax.set_xticks([])
ax.set_yticks([])
plt.tight_layout()
return fig
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