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Pipfile

@@ -6,6 +6,8 @@ name = "pypi"
 [packages]
 pytuning = "*"
 numeral = "*"
+pygame = "*"
+scipy = "*"
 
 [dev-packages]
 pytest = "*"

Pipfile.lock

@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "ab92ebe81a8de7d7b1e4cde82bf3ad82c995dcf5d6cdfc3e9d7f1f86bbc6210d"
+            "sha256": "b26c1f52ba816c24a18d541485dc99c1f1afe5d03bf5a3db3491d374d780e644"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -63,6 +63,36 @@
             "markers": "python_version != '3.0.*' and python_version != '3.2.*' and python_version != '3.3.*' and python_version >= '2.7' and python_version != '3.1.*'",
             "version": "==1.15.1"
         },
+        "pygame": {
+            "hashes": [
+                "sha256:06dc92ccfea33b85f209db3d49f99a2a30c88fe9fb80fa2564cee443ece787b5",
+                "sha256:0919a2ec5fcb0d00518c2a5fa99858ccf22d7fbcc0e12818b317062d11386984",
+                "sha256:0a8c92e700e0042faefa998fa064616f330201890d6ea1c993eb3ff30ab53e99",
+                "sha256:220a1048ebb3d11a4d48cc4219ec8f65ca62fcafd255239478677625e8ead2e9",
+                "sha256:315861d2b8428f7b4d56d2c98d6c1acc18f08c77af4b129211bc036774f64be2",
+                "sha256:3469e87867832fe5226396626a8a6a9dac9b2e21a7819dd8cd96cf0e08bbcd41",
+                "sha256:54c19960180626165512d596235d75dc022d38844467cec769a8d8153fd66645",
+                "sha256:5ba598736ab9716f53dc943a659a9578f62acfe00c0c9c5490f3aca61d078f75",
+                "sha256:60ddc4f361babb30ff2d554132b1f3296490f3149d6c1c77682213563f59937a",
+                "sha256:6a49ab8616a9de534f1bf62c98beabf0e0bb0b6ff8917576bba22820bba3fdad",
+                "sha256:6d4966eeba652df2fd9a757b3fc5b29b578b47b58f991ad714471661ea2141cb",
+                "sha256:700d1781c999af25d11bfd1f3e158ebb660f72ebccb2040ecafe5069d0b2c0b6",
+                "sha256:73f4c28e894e76797b8ccaf6eb1205b433efdb803c70f489ebc3db6ac9c097e6",
+                "sha256:786eca2bea11abd924f3f67eb2483bcb22acff08f28dbdbf67130abe54b23797",
+                "sha256:7bcf586a1c51a735361ca03561979eea3180de45e6165bcdfa12878b752544af",
+                "sha256:82a1e93d82c1babceeb278c55012a9f5140e77665d372a6d97ec67786856d254",
+                "sha256:9e03589bc80a21ae951fca7659a767b7cac668289937e3756c0ab3d753cf6d24",
+                "sha256:aa8926a4e34fb0943abe1a8bb04a0ad82265341bf20064c0862db0a521100dfc",
+                "sha256:aa90689b889c417d2ac571ef2bbb5f7e735ae30c7553c60fae7508404f46c101",
+                "sha256:c9f8cdefee267a2e690bf17d61a8f5670b620f25a981f24781b034363a8eedc9",
+                "sha256:d9177afb2f46103bfc28a51fbc49ce18987a857e5c934db47b4a7030cb30fbd0",
+                "sha256:deb0551d4bbfb8131e2463a7fe1943bfcec5beb11acdf9c4bfa27fa5a9758d62",
+                "sha256:e7edfe57a5972aa9130ce9a186020a0f097e7a8e4c25e292109bdae1432b77f9",
+                "sha256:f0ad32efb9e26160645d62ba6cf3e5a5828dc4e82e8f41f9badfe7b685b07295"
+            ],
+            "index": "pypi",
+            "version": "==1.9.4"
+        },
         "pytuning": {
             "hashes": [
                 "sha256:50b16a339351c902fdcd1ffc038d25fd537959b316ec8621fe4f6009de4fa67f"
@@ -70,6 +100,40 @@
             "index": "pypi",
             "version": "==0.7.2"
         },
+        "scipy": {
+            "hashes": [
+                "sha256:0611ee97296265af4a21164a5323f8c1b4e8e15c582d3dfa7610825900136bb7",
+                "sha256:08237eda23fd8e4e54838258b124f1cd141379a5f281b0a234ca99b38918c07a",
+                "sha256:0e645dbfc03f279e1946cf07c9c754c2a1859cb4a41c5f70b25f6b3a586b6dbd",
+                "sha256:0e9bb7efe5f051ea7212555b290e784b82f21ffd0f655405ac4f87e288b730b3",
+                "sha256:108c16640849e5827e7d51023efb3bd79244098c3f21e4897a1007720cb7ce37",
+                "sha256:340ef70f5b0f4e2b4b43c8c8061165911bc6b2ad16f8de85d9774545e2c47463",
+                "sha256:3ad73dfc6f82e494195144bd3a129c7241e761179b7cb5c07b9a0ede99c686f3",
+                "sha256:3b243c77a822cd034dad53058d7c2abf80062aa6f4a32e9799c95d6391558631",
+                "sha256:404a00314e85eca9d46b80929571b938e97a143b4f2ddc2b2b3c91a4c4ead9c5",
+                "sha256:423b3ff76957d29d1cce1bc0d62ebaf9a3fdfaf62344e3fdec14619bb7b5ad3a",
+                "sha256:42d9149a2fff7affdd352d157fa5717033767857c11bd55aa4a519a44343dfef",
+                "sha256:625f25a6b7d795e8830cb70439453c9f163e6870e710ec99eba5722775b318f3",
+                "sha256:698c6409da58686f2df3d6f815491fd5b4c2de6817a45379517c92366eea208f",
+                "sha256:729f8f8363d32cebcb946de278324ab43d28096f36593be6281ca1ee86ce6559",
+                "sha256:8190770146a4c8ed5d330d5b5ad1c76251c63349d25c96b3094875b930c44692",
+                "sha256:878352408424dffaa695ffedf2f9f92844e116686923ed9aa8626fc30d32cfd1",
+                "sha256:8b984f0821577d889f3c7ca8445564175fb4ac7c7f9659b7c60bef95b2b70e76",
+                "sha256:8f841bbc21d3dad2111a94c490fb0a591b8612ffea86b8e5571746ae76a3deac",
+                "sha256:c22b27371b3866c92796e5d7907e914f0e58a36d3222c5d436ddd3f0e354227a",
+                "sha256:d0cdd5658b49a722783b8b4f61a6f1f9c75042d0e29a30ccb6cacc9b25f6d9e2",
+                "sha256:d40dc7f494b06dcee0d303e51a00451b2da6119acbeaccf8369f2d29e28917ac",
+                "sha256:d8491d4784aceb1f100ddb8e31239c54e4afab8d607928a9f7ef2469ec35ae01",
+                "sha256:dfc5080c38dde3f43d8fbb9c0539a7839683475226cf83e4b24363b227dfe552",
+                "sha256:e24e22c8d98d3c704bb3410bce9b69e122a8de487ad3dbfe9985d154e5c03a40",
+                "sha256:e7a01e53163818d56eabddcafdc2090e9daba178aad05516b20c6591c4811020",
+                "sha256:ee677635393414930541a096fc8e61634304bb0153e4e02b75685b11eba14cae",
+                "sha256:f0521af1b722265d824d6ad055acfe9bd3341765735c44b5a4d0069e189a0f40",
+                "sha256:f25c281f12c0da726c6ed00535ca5d1622ec755c30a3f8eafef26cf43fede694"
+            ],
+            "index": "pypi",
+            "version": "==1.1.0"
+        },
         "sympy": {
             "hashes": [
                 "sha256:286ca070d72e250861dea7a21ab44f541cb2341e8268c70264cf8642dbd9225f"
@@ -119,11 +183,11 @@
         },
         "pytest": {
             "hashes": [
-                "sha256:2d7c49e931316cc7d1638a3e5f54f5d7b4e5225972b3c9838f3584788d27f349",
-                "sha256:ad0c7db7b5d4081631e0155f5c61b80ad76ce148551aaafe3a718d65a7508b18"
+                "sha256:453cbbbe5ce6db38717d282b758b917de84802af4288910c12442984bde7b823",
+                "sha256:a8a07f84e680482eb51e244370aaf2caa6301ef265f37c2bdefb3dd3b663f99d"
             ],
             "index": "pypi",
-            "version": "==3.7.4"
+            "version": "==3.8.0"
         },
         "rope": {
             "hashes": [

pytheory/core.py

@@ -5,3 +5,4 @@ from .systems import System, SYSTEMS
 from .scales import Scale, TonedScale
 from .chords import Chord, Fretboard
 from .charts import CHARTS, charts_for_fretboard
+from .play import play

pytheory/play.py

@@ -0,0 +1,61 @@
+from enum import Enum
+import numpy
+import scipy.signal
+
+import contextlib
+with contextlib.redirect_stdout(None):
+    import pygame
+
+from .tones import Tone
+
+SAMPLE_RATE = 44_100
+SAMPLE_PEAK = 4_096
+
+pygame.mixer.pre_init(SAMPLE_RATE, -16, 1)
+pygame.mixer.init()
+
+def sine_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
+    """Compute N samples of a sine wave with given frequency and peak amplitude.
+       Defaults to one second.
+    """
+    length = SAMPLE_RATE / float(hz)
+    omega = numpy.pi * 2 / length
+    xvalues = numpy.arange(int(length)) * omega
+    onecycle = peak * numpy.sin(xvalues)
+    return numpy.resize(onecycle, (n_samples,)).astype(numpy.int16)
+
+def sawtooth_wave(hz, peak=SAMPLE_PEAK, rising_ramp_width=1, n_samples=SAMPLE_RATE):
+    """Compute N samples of a sine wave with given frequency and peak amplitude.
+       Defaults to one second.
+       rising_ramp_width is the percentage of the ramp spend rising:
+       .5 is a triangle wave with equal rising and falling times.
+    """
+    t = numpy.linspace(0, 1, 500 * 440/hz, endpoint=False)
+    wave = scipy.signal.sawtooth(2 * numpy.pi * 5 * t, width=rising_ramp_width)
+    wave = numpy.resize(wave, (n_samples,))
+    # Sawtooth waves sound very quiet, so multiply peak by 4.
+    return (peak * 6 * wave.astype(numpy.int16))
+
+
+def _play_for(sample_wave, ms):
+    """Play the given NumPy array, as a sound, for ms milliseconds."""
+    sound = pygame.sndarray.make_sound(sample_wave)
+    sound.play(-1)
+    pygame.time.delay(ms)
+    sound.stop()
+
+
+class Synth(Enum):
+    SINE = sine_wave
+    SAW = sawtooth_wave
+
+def play(tone_or_chord, temperament='equal', synth=Synth.SINE, t=1_000):
+
+    if isinstance(tone_or_chord, Tone):
+        chord = [synth(tone_or_chord.pitch(temperament=temperament, symbolic=True))]
+    else:
+        chord = [synth(tone.pitch(temperament=temperament, symbolic=True)) for tone in tone_or_chord.tones]
+
+    _play_for(sum(chord), ms=t)
+
+#  69 + 12*np.log2(hz_nonneg/440.)