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4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| f570e226cd | |||
| 0c5c3abedc | |||
| 35d07b984b | |||
| aec7723ee6 |
@@ -357,6 +357,15 @@ the pitch upward.
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and light classical), tabla solo, and tiri kita (fast ornamental
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pattern).
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**5 fills:** tihai (3x crescendo landing on sam), chakkardar (32nd
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triplet cascade into slam), tiri kita (rapid 16th-note dayan burst),
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bayan (deep bass bends showcase), tabla call (dayan/bayan call-and-response).
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.. code-block:: python
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score.drums("teental", repeats=4, fill="tihai")
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score.drums("keherwa", repeats=4, fill="chakkardar")
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.. code-block:: python
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score = Score("4/4", bpm=80)
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+1
-1
@@ -1,6 +1,6 @@
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[project]
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name = "pytheory"
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version = "0.36.3"
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version = "0.36.4"
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description = "Music Theory for Humans"
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readme = "README.md"
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license = "MIT"
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@@ -1,6 +1,6 @@
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"""PyTheory: Music Theory for Humans."""
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__version__ = "0.36.3"
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__version__ = "0.36.4"
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from .tones import Tone, Interval
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from .systems import System, SYSTEMS, TET
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+97
-1
@@ -1237,6 +1237,47 @@ def steel_drum_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
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return (peak * wave).astype(numpy.int16)
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def harmonium_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
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"""Harmonium — Indian pump organ, single free reed per note.
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Unlike accordion (doubled musette reeds), the harmonium has one
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reed per note — no beating, just a pure, nasal, reedy tone.
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Constant bellows pressure, warm but slightly buzzy. The sound
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of kirtan, qawwali, and devotional music.
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"""
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t = numpy.arange(n_samples, dtype=numpy.float64) / SAMPLE_RATE
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rng = numpy.random.default_rng(int(hz * 100) % 2**31)
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# Single reed — odd harmonics stronger (like clarinet but warmer)
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wave = numpy.zeros(n_samples, dtype=numpy.float64)
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for n in range(1, 12):
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f_n = hz * n
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if f_n >= SAMPLE_RATE / 2:
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break
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amp = (1.0 / n) * (1.0 if n % 2 == 1 else 0.5)
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phase = rng.uniform(0, 2 * numpy.pi)
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wave += amp * numpy.sin(2 * numpy.pi * f_n * t + phase)
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# Bellows pressure — gentle swell, slower than accordion
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bellows = 0.9 + 0.1 * numpy.sin(2 * numpy.pi * 0.5 * t)
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wave *= bellows
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# Nasal character — slight midrange boost
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import scipy.signal as _sig
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center = min(1200, hz * 3)
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lo = max(20, int(center - 300))
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hi = min(SAMPLE_RATE // 2 - 1, int(center + 300))
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if lo < hi:
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bp, ap = _sig.butter(2, [lo, hi], btype='band', fs=SAMPLE_RATE)
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nasal = _sig.lfilter(bp, ap, wave) * 0.2
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wave += nasal
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mx = numpy.abs(wave).max()
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if mx > 0:
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wave /= mx
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return (peak * wave).astype(numpy.int16)
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def accordion_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
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"""Accordion — bellows-driven free reeds.
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@@ -1794,6 +1835,7 @@ class Synth(Enum):
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THEREMIN = "theremin_synth"
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KALIMBA = "kalimba_synth"
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STEEL_DRUM = "steel_drum_synth"
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HARMONIUM = "harmonium_synth"
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ACCORDION = "accordion_synth"
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DIDGERIDOO = "didgeridoo_synth"
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BAGPIPE = "bagpipe_synth"
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@@ -1825,7 +1867,7 @@ _SYNTH_FUNCTIONS = {
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"granular_synth": granular_wave, "vocal_synth": vocal_wave,
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"pedal_steel_synth": pedal_steel_wave, "theremin_synth": theremin_wave,
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"kalimba_synth": kalimba_wave, "steel_drum_synth": steel_drum_wave,
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"accordion_synth": accordion_wave, "didgeridoo_synth": didgeridoo_wave,
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"harmonium_synth": harmonium_wave, "accordion_synth": accordion_wave, "didgeridoo_synth": didgeridoo_wave,
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"bagpipe_synth": bagpipe_wave,
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"banjo_synth": banjo_wave, "mandolin_synth": mandolin_wave,
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"ukulele_synth": ukulele_wave,
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@@ -2584,6 +2626,52 @@ def _synth_mridangam_tha(n_samples):
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return out
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def _synth_doumbek_dum(n_samples):
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"""Doumbek Dum — open center strike, deep and round."""
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t = numpy.arange(n_samples, dtype=numpy.float32) / SAMPLE_RATE
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freq = 80 + 40 * numpy.exp(-25 * t)
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phase = 2 * numpy.pi * numpy.cumsum(freq) / SAMPLE_RATE
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body = numpy.sin(phase) * _exp_decay(n_samples, 8) * 0.8
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thump_len = min(int(SAMPLE_RATE * 0.04), n_samples)
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import scipy.signal as _sig
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thump = _noise(thump_len)
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if thump_len > 20:
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bl, al = _sig.butter(2, [50, 250], btype='band', fs=SAMPLE_RATE)
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thump = _sig.lfilter(bl, al, numpy.pad(thump, (0, max(0, n_samples - thump_len))))[:thump_len].astype(numpy.float32)
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thump *= _exp_decay(thump_len, 22) * 0.7
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body[:thump_len] += thump
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return numpy.tanh(body * 1.3).astype(numpy.float32)
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def _synth_doumbek_tek(n_samples):
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"""Doumbek Tek — sharp edge strike, bright and cutting."""
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t = numpy.arange(n_samples, dtype=numpy.float32) / SAMPLE_RATE
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ring = numpy.sin(2 * numpy.pi * 400 * t) * _exp_decay(n_samples, 22) * 0.5
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ring2 = numpy.sin(2 * numpy.pi * 900 * t) * 0.3 * _exp_decay(n_samples, 30)
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click_len = min(int(SAMPLE_RATE * 0.005), n_samples)
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click = _noise(click_len) * _exp_decay(click_len, 300) * 0.9
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import scipy.signal as _sig
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if click_len > 10:
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bl, al = _sig.butter(2, [2000, min(8000, SAMPLE_RATE // 2 - 1)], btype='band', fs=SAMPLE_RATE)
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click = _sig.lfilter(bl, al, numpy.pad(click, (0, max(0, n_samples - click_len))))[:click_len].astype(numpy.float32)
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result = ring + ring2
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result[:click_len] += click
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return numpy.tanh(result * 1.8).astype(numpy.float32)
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def _synth_doumbek_ka(n_samples):
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"""Doumbek Ka — muted edge slap, short and dry."""
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n = min(n_samples, int(SAMPLE_RATE * 0.04))
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t = numpy.arange(n, dtype=numpy.float32) / SAMPLE_RATE
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body = numpy.sin(2 * numpy.pi * 350 * t) * _exp_decay(n, 30) * 0.4
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slap = _noise(min(80, n)) * _exp_decay(min(80, n), 200) * 0.7
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result = body
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result[:min(80, n)] += slap
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out = numpy.zeros(n_samples, dtype=numpy.float32)
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out[:n] = numpy.tanh(result * 1.5)
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return out
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def _synth_cajon_bass(n_samples):
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"""Cajón bass — palm strike on center of the face.
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@@ -2914,6 +3002,10 @@ def _render_drum_hit(sound_value, n_samples):
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DrumSound.DJEMBE_BASS.value: lambda n: _synth_djembe_bass(n),
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DrumSound.DJEMBE_TONE.value: lambda n: _synth_djembe_tone(n),
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DrumSound.DJEMBE_SLAP.value: lambda n: _synth_djembe_slap(n),
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# Doumbek
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DrumSound.DOUMBEK_DUM.value: lambda n: _synth_doumbek_dum(n),
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DrumSound.DOUMBEK_TEK.value: lambda n: _synth_doumbek_tek(n),
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DrumSound.DOUMBEK_KA.value: lambda n: _synth_doumbek_ka(n),
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# Cajon
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DrumSound.CAJON_BASS.value: lambda n: _synth_cajon_bass(n),
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DrumSound.CAJON_SLAP.value: lambda n: _synth_cajon_slap(n),
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@@ -4510,6 +4602,10 @@ def render_score(score):
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DrumSound.DJEMBE_BASS.value: 0.0,
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DrumSound.DJEMBE_TONE.value: 0.1,
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DrumSound.DJEMBE_SLAP.value: -0.1,
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# Doumbek
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DrumSound.DOUMBEK_DUM.value: 0.0,
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DrumSound.DOUMBEK_TEK.value: 0.1,
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DrumSound.DOUMBEK_KA.value: -0.1,
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# Cajon — centered (single instrument)
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DrumSound.CAJON_BASS.value: 0.0,
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DrumSound.CAJON_SLAP.value: 0.0,
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@@ -213,6 +213,11 @@ INSTRUMENTS = {
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"synth": "steel_drum_synth", "envelope": "none",
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"reverb": 0.3, "reverb_type": "plate",
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},
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"harmonium": {
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"synth": "harmonium_synth", "envelope": "organ",
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"reverb": 0.2, "reverb_type": "taj_mahal",
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"humanize": 0.15,
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},
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"accordion": {
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"synth": "accordion_synth", "envelope": "organ",
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"humanize": 0.15,
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@@ -528,6 +533,10 @@ class DrumSound(Enum):
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DJEMBE_BASS = 102 # open bass (center of head)
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DJEMBE_TONE = 103 # open tone (edge, fingers together)
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DJEMBE_SLAP = 104 # slap (edge, fingers spread, sharp crack)
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# Doumbek (darbuka) sounds
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DOUMBEK_DUM = 112 # center of head, deep bass
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DOUMBEK_TEK = 113 # edge of head, sharp high
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DOUMBEK_KA = 114 # muted edge slap
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# Cajon sounds
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CAJON_BASS = 108 # center of face, deep thump
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CAJON_SLAP = 109 # top edge, snare wires buzz
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@@ -1563,6 +1572,61 @@ Pattern._PRESETS["tabla solo"] = dict(
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],
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)
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# ── Doumbek patterns ──────────────────────────────────────────────────────
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DKD = DrumSound.DOUMBEK_DUM
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DKT = DrumSound.DOUMBEK_TEK
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DKK = DrumSound.DOUMBEK_KA
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# Maqsoum — the most common Arabic rhythm (4/4)
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Pattern._PRESETS["maqsoum"] = dict(
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name="maqsoum",
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time_signature="4/4",
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beats=4.0,
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hits=[
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_h(DKD, 0.0, 85), _h(DKT, 0.5, 65),
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_h(DKT, 1.0, 68), _h(DKD, 1.5, 80),
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_h(DKT, 2.0, 65), _h(DKT, 2.5, 62),
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_h(DKT, 3.0, 68), _h(DKT, 3.5, 62),
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],
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)
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# Baladi — heavy, earthy, belly dance
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Pattern._PRESETS["baladi"] = dict(
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name="baladi",
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time_signature="4/4",
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beats=4.0,
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hits=[
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_h(DKD, 0.0, 88), _h(DKD, 0.5, 78),
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_h(DKT, 1.0, 70), _h(DKD, 1.5, 82),
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_h(DKT, 2.0, 68), _h(DKT, 2.5, 62),
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_h(DKT, 3.0, 68), _h(DKK, 3.25, 45), _h(DKT, 3.5, 65),
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],
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)
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# Saidi — Upper Egyptian, strong and driving
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Pattern._PRESETS["saidi"] = dict(
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name="saidi",
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time_signature="4/4",
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beats=4.0,
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hits=[
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_h(DKD, 0.0, 88), _h(DKT, 0.5, 65),
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_h(DKD, 1.0, 82), _h(DKD, 1.5, 78),
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_h(DKT, 2.0, 70), _h(DKT, 2.5, 62),
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_h(DKT, 3.0, 68), _h(DKT, 3.5, 62),
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],
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)
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# Ayoub — simple 2/4, trance-like repetition
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Pattern._PRESETS["ayoub"] = dict(
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name="ayoub",
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time_signature="2/4",
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beats=2.0,
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hits=[
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_h(DKD, 0.0, 85), _h(DKK, 0.5, 45),
|
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_h(DKT, 1.0, 70), _h(DKT, 1.5, 62),
|
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],
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)
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# ── Cajón patterns ────────────────────────────────────────────────────────
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CB = DrumSound.CAJON_BASS
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CSL = DrumSound.CAJON_SLAP
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@@ -2093,6 +2157,123 @@ Pattern._FILLS["second line"] = dict(
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],
|
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)
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# ── Doumbek fills ────────────────────────────────────────────────────────
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_DKD = DrumSound.DOUMBEK_DUM
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_DKT = DrumSound.DOUMBEK_TEK
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_DKK = DrumSound.DOUMBEK_KA
|
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# Doumbek roll — rapid teks building to dum
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Pattern._FILLS["doumbek roll"] = dict(
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name="doumbek roll fill",
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time_signature="4/4",
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beats=4.0,
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hits=[
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*[_h(_DKT, i * 0.125, 40 + i * 4) for i in range(16)],
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_h(_DKD, 2.0, 100), _h(_DKT, 2.25, 65), _h(_DKT, 2.5, 68),
|
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_h(_DKD, 3.0, 110), _h(_DKD, 3.25, 105),
|
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_h(_DKD, 3.5, 115), _h(_DKT, 3.75, 80),
|
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],
|
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)
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|
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# Doumbek accent — syncopated dum-tek-ka pattern
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Pattern._FILLS["doumbek accent"] = dict(
|
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name="doumbek accent fill",
|
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time_signature="4/4",
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beats=4.0,
|
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hits=[
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_h(_DKD, 0.0, 95), _h(_DKT, 0.25, 65), _h(_DKK, 0.5, 50),
|
||||
_h(_DKT, 0.75, 68), _h(_DKD, 1.0, 90),
|
||||
_h(_DKT, 1.5, 72), _h(_DKK, 1.75, 52), _h(_DKD, 2.0, 100),
|
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_h(_DKT, 2.25, 68), _h(_DKT, 2.5, 70), _h(_DKT, 2.75, 72),
|
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_h(_DKD, 3.0, 110), _h(_DKD, 3.5, 115),
|
||||
],
|
||||
)
|
||||
|
||||
# ── Tabla fills ──────────────────────────────────────────────────────────
|
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_TNA = DrumSound.TABLA_NA
|
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_TDH = DrumSound.TABLA_DHA
|
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_TTT = DrumSound.TABLA_TIT
|
||||
_TKE = DrumSound.TABLA_KE
|
||||
_TGB = DrumSound.TABLA_GE_BEND
|
||||
_TGE = DrumSound.TABLA_GE
|
||||
_TTI = DrumSound.TABLA_TIN
|
||||
_T3 = 1.0 / 12.0
|
||||
|
||||
# Tihai — the classic 3x pattern landing on sam
|
||||
Pattern._FILLS["tihai"] = dict(
|
||||
name="tihai fill",
|
||||
time_signature="4/4",
|
||||
beats=4.0,
|
||||
hits=[
|
||||
_h(_TDH, 0.0, 105), _h(_TNA, 0.25, 72), _h(_TTT, 0.5, 48),
|
||||
_h(_TKE, 0.75, 52), _h(_TDH, 1.0, 100),
|
||||
_h(_TDH, 1.25, 110), _h(_TNA, 1.5, 78), _h(_TTT, 1.75, 52),
|
||||
_h(_TKE, 2.0, 55), _h(_TDH, 2.25, 105),
|
||||
_h(_TDH, 2.5, 118), _h(_TNA, 2.75, 82), _h(_TTT, 3.0, 58),
|
||||
_h(_TKE, 3.25, 60), _h(_TDH, 3.5, 127),
|
||||
],
|
||||
)
|
||||
|
||||
# Chakkardar — 32nd triplet cascade into slam
|
||||
Pattern._FILLS["chakkardar"] = dict(
|
||||
name="chakkardar fill",
|
||||
time_signature="4/4",
|
||||
beats=4.0,
|
||||
hits=[
|
||||
*[_h(_TTT, i * _T3, 32 + i * 3) for i in range(12)],
|
||||
_h(_TDH, 1.0, 115), _h(_TGB, 1.5, 108),
|
||||
*[_h(_TTT, 2.0 + i * _T3, 35 + i * 3) for i in range(12)],
|
||||
_h(_TDH, 3.0, 120), _h(_TDH, 3.25, 115),
|
||||
_h(_TGB, 3.5, 120), _h(_TDH, 3.75, 127),
|
||||
],
|
||||
)
|
||||
|
||||
# Tiri kita fill — rapid 16th note dayan burst
|
||||
Pattern._FILLS["tiri kita"] = dict(
|
||||
name="tiri kita fill",
|
||||
time_signature="4/4",
|
||||
beats=4.0,
|
||||
hits=[
|
||||
_h(_TTT, 0.0, 50), _h(_TTT, 0.125, 38), _h(_TKE, 0.25, 48),
|
||||
_h(_TNA, 0.5, 72), _h(_TTT, 0.75, 42),
|
||||
_h(_TDH, 1.0, 95), _h(_TTT, 1.25, 38), _h(_TTT, 1.5, 42),
|
||||
_h(_TKE, 1.75, 48), _h(_TNA, 2.0, 75),
|
||||
_h(_TTT, 2.25, 40), _h(_TTT, 2.5, 45), _h(_TKE, 2.75, 50),
|
||||
_h(_TDH, 3.0, 100), _h(_TNA, 3.25, 70),
|
||||
_h(_TDH, 3.5, 110), _h(_TGB, 3.75, 105),
|
||||
],
|
||||
)
|
||||
|
||||
# Bayan showcase — deep bass bends
|
||||
Pattern._FILLS["bayan"] = dict(
|
||||
name="bayan fill",
|
||||
time_signature="4/4",
|
||||
beats=4.0,
|
||||
hits=[
|
||||
_h(_TGB, 0.0, 100), _h(_TNA, 0.5, 65),
|
||||
_h(_TGE, 1.0, 85), _h(_TGB, 1.5, 105),
|
||||
_h(_TNA, 2.0, 70), _h(_TKE, 2.25, 48),
|
||||
_h(_TGB, 2.5, 110), _h(_TDH, 3.0, 115),
|
||||
_h(_TGB, 3.5, 120),
|
||||
],
|
||||
)
|
||||
|
||||
# Call and response — dayan speaks, bayan answers
|
||||
Pattern._FILLS["tabla call"] = dict(
|
||||
name="tabla call fill",
|
||||
time_signature="4/4",
|
||||
beats=4.0,
|
||||
hits=[
|
||||
_h(_TNA, 0.0, 105), _h(_TNA, 0.25, 55), _h(_TTT, 0.5, 38),
|
||||
_h(_TNA, 0.75, 100),
|
||||
_h(_TGE, 1.0, 95), _h(_TGE, 1.25, 48), _h(_TGB, 1.5, 90),
|
||||
_h(_TNA, 2.0, 108), _h(_TTT, 2.125, 30), _h(_TTT, 2.25, 35),
|
||||
_h(_TNA, 2.5, 100),
|
||||
_h(_TGB, 3.0, 112), _h(_TKE, 3.25, 48),
|
||||
_h(_TDH, 3.5, 120),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
class Part:
|
||||
"""A named voice within a Score, with its own synth, envelope, and effects.
|
||||
|
||||
+2
-2
@@ -5320,7 +5320,7 @@ def test_supersaw_wave():
|
||||
@needs_portaudio
|
||||
def test_all_synths_in_enum():
|
||||
from pytheory.play import Synth
|
||||
assert len(Synth) == 41
|
||||
assert len(Synth) == 42
|
||||
for s in Synth:
|
||||
wave = s(440, n_samples=1000)
|
||||
assert len(wave) == 1000
|
||||
@@ -7142,7 +7142,7 @@ def test_score_system_propagates():
|
||||
|
||||
def test_synth_enum_count():
|
||||
from pytheory.play import Synth
|
||||
assert len(Synth) == 41
|
||||
assert len(Synth) == 42
|
||||
|
||||
|
||||
def test_all_synths_render_and_enum_match():
|
||||
|
||||
Reference in New Issue
Block a user