├── LICENSE.md ├── README.md ├── edit_project_module.py ├── eval_all.py ├── eval_selected.py ├── lambdaw.py ├── loop_test.py ├── misc ├── run_musicvae.py └── run_rave.py ├── project-module-examples ├── custom_converter.py ├── intro.py └── live.py ├── reload.py ├── session.py └── toggle_expression.py /LICENSE.md: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Lambda + DAW = LambDAW[^1] 2 | 3 | Make generative music, hack the timeline, livecode the DAW. 4 | 5 | ## What is this? 6 | 7 | LambDAW is a REAPER extension that lets you write code that generates media right in the timeline, where it happily co-exists with audio and MIDI items. 8 | This code takes the form of Python expressions, which are associated with the items they generate (_expression items_), and can refer to other items in the timeline to transform them. 9 | 10 | If this seems a bit abstract, think of how spreadsheets let you mix formulas with data: a cell can contain either, and formulas can refer to other cells, allowing you to express _relationships_ between different pieces of information. LambDAW is kind of like that, but for the digital audio workstation. 11 | 12 | ![Screenshot of LambDAW showing expression items mixed with audio and MIDI items](https://user-images.githubusercontent.com/99575/209230218-d7150bb7-dc65-434a-95a6-7b01804be813.png) 13 | 14 | ## What's the project status? 15 | 16 | :warning: LambDAW is under heavy development. :warning: 17 | 18 | In the future, we may release an extension compatible with [ReaPack](https://reapack.com/). 19 | Until then, you can try it by cloning the repo, running `session.py` as a script in REAPER, and tweaking your setup (keybindings and theme) to make it convenient to use. You can also find a few basic examples of project modules in `project-module-examples/` which might be helpful for getting started. 20 | 21 | If you are interested it trying LambDAW, feel free to contact [the author](https://ijc8.me). 22 | 23 | [^1]: Any substrings related to lambs or other young ovines are purely coincidental, and no animals were harmed in the making of this software. 24 | -------------------------------------------------------------------------------- /edit_project_module.py: -------------------------------------------------------------------------------- 1 | import reapy 2 | import os 3 | import subprocess 4 | 5 | path = os.path.join(reapy.Project().path, "lambdaw", "project.py") 6 | subprocess.run(["code", "-n", path]) 7 | -------------------------------------------------------------------------------- /eval_all.py: -------------------------------------------------------------------------------- 1 | import reapy 2 | 3 | reapy.set_ext_state("lambdaw", "pending", "eval_all") 4 | -------------------------------------------------------------------------------- /eval_selected.py: -------------------------------------------------------------------------------- 1 | import reapy 2 | 3 | reapy.set_ext_state("lambdaw", "pending", "eval_selected") 4 | -------------------------------------------------------------------------------- /lambdaw.py: -------------------------------------------------------------------------------- 1 | import array 2 | import importlib 3 | import itertools 4 | import os 5 | from pathlib import Path 6 | import sys 7 | import time 8 | import traceback 9 | import wave 10 | 11 | import reapy 12 | 13 | SAMPLE_RATE = 48000 14 | 15 | def generate_wave(path, it): 16 | # NOTE: Avoiding numpy due to segfault on reload: https://github.com/numpy/numpy/issues/11925 17 | wav = wave.open(path, "w") 18 | wav.setnchannels(1) 19 | wav.setsampwidth(2) 20 | wav.setframerate(SAMPLE_RATE) 21 | scale = 2**15 - 1 22 | audio = array.array('h', (int(max(-1, min(x, 1)) * scale) for x in it)) 23 | wav.writeframes(audio) 24 | wav.close() 25 | 26 | def create_midi_source(take): 27 | # Create a new, blank MIDI source that is the length of its container. 28 | # This is weirdly complicated. See https://forum.cockos.com/showthread.php?t=100864. 29 | size = 4*1024*1024 # see reaper_python's `rpr_packs()` 30 | source = reapy.RPR.PCM_Source_CreateFromType("MIDI") 31 | reapy.RPR.SetMediaItemTake_Source(take.id, source) 32 | ticks = int(reapy.RPR.get_config_var_string("miditicksperbeat", 0, size)[2]) 33 | state = reapy.RPR.GetItemStateChunk(take.item.id, 0, size, True)[2] 34 | project = reapy.Project() 35 | start = project.time_to_beats(take.item.position) 36 | end = project.time_to_beats(take.item.position + take.item.length) 37 | payload = f""" 38 | 42 | """.strip().split("\n") 43 | lines = state.split("\n") 44 | start_index = next(i for i, line in enumerate(lines) if line.startswith("", start_index + 1) 46 | lines[start_index:end_index + 1] = payload 47 | state = "\n".join(lines) 48 | reapy.RPR.SetItemStateChunk(take.item.id, state, size) 49 | 50 | def peek(iterable, default=None): 51 | it = iter(iterable) 52 | try: 53 | first = next(it) 54 | except StopIteration: 55 | return (default, ()) 56 | return (first, itertools.chain((first,), it)) 57 | 58 | def collect_garbage(): 59 | # Delete unused lambdaw-generated audio files & reapeaks. 60 | files = {os.path.join(audio_dir, f) for f in os.listdir(audio_dir) if f.endswith(".wav")} 61 | used = set() 62 | # TODO: Maybe avoid going through all the project contents again here. 63 | # Instead, perhaps we could get this information in `scan_items` and update it appropriately in `eval_takes`. 64 | for track in reapy.Project().tracks: 65 | for item in track.items: 66 | for take in item.takes: 67 | used.add(os.path.abspath(take.source.filename)) 68 | unused = files - used 69 | for file in unused: 70 | Path(file).unlink() 71 | Path(file + ".reapeaks").unlink(True) 72 | 73 | def convert_input(take: reapy.Take): 74 | take_start = take.item.position - take.start_offset 75 | def convert_note(note): 76 | infos = note.infos 77 | # TODO: Maybe use beats/PPQ instead of seconds. (The conversion is due to reapy.) 78 | infos["dur"] = infos["start"] - infos["end"] 79 | infos["start"] -= take_start 80 | infos["end"] -= take_start 81 | return infos 82 | if take.is_midi: 83 | return [convert_note(note) for note in take.notes] 84 | else: 85 | def generator(): 86 | accessor = take.add_audio_accessor() 87 | length = int((accessor.end_time - accessor.start_time) * SAMPLE_RATE) 88 | chunk_size = 4096 89 | for i in range(0, length, chunk_size): 90 | chunk = accessor.get_samples(i / SAMPLE_RATE, chunk_size, sample_rate=SAMPLE_RATE) 91 | yield from chunk 92 | # TODO: Does accessor still get cleaned up if expression doesn't exhaust this generator? 93 | # I suspect not. Might need to implement __del__ on something - ideally reapy's AudioAccessor class. 94 | accessor.delete() 95 | return generator() 96 | 97 | 98 | def convert_output(output, track_index, item_index, take): 99 | def convert_note(note): 100 | # NOTE: We don't add back `take_start` here due to reapy inconsistency. 101 | if "dur" in note: 102 | del note["dur"] 103 | return note 104 | # Clear current notes 105 | while take.n_notes: 106 | take.notes[0].delete() 107 | if output is None: 108 | output = () 109 | peeked = peek(output) 110 | first, output = peeked 111 | if isinstance(first, dict): 112 | if not take.is_midi: 113 | create_midi_source(take) 114 | for note in output: 115 | take.add_note(**convert_note(note)) 116 | return False 117 | else: 118 | path = os.path.join(audio_dir, f"track{track_index}_item{item_index}_{time.monotonic_ns()}.wav") 119 | generate_wave(path, itertools.islice(output, int(take.item.length * SAMPLE_RATE))) 120 | 121 | source = reapy.RPR.PCM_Source_CreateFromFile(os.path.join(lambdaw_dir, path)) 122 | old_source = take.source 123 | reapy.RPR.SetMediaItemTake_Source(take.id, source) 124 | if Path(old_source.filename).is_relative_to(audio_dir): 125 | reapy.RPR.PCM_Source_Destroy(old_source.id) 126 | return True 127 | 128 | input_converter = convert_input 129 | output_converter = convert_output 130 | 131 | def register_converters(input=None, output=None): 132 | global input_converter, output_converter 133 | if input is not None: 134 | input_converter = input 135 | if output is not None: 136 | output_converter = output 137 | 138 | def build_peaks(source): 139 | result = reapy.RPR.PCM_Source_BuildPeaks(source.id, 0) 140 | if result != 0: 141 | while (result := reapy.RPR.PCM_Source_BuildPeaks(source.id, 1)) != 0: 142 | pass 143 | reapy.RPR.PCM_Source_BuildPeaks(source.id, 2) 144 | 145 | def eval_takes(take_info): 146 | generated_audio = False 147 | for var_name, expression, track_index, item_index, take in take_info: 148 | if expression is None: 149 | continue 150 | try: 151 | # Add parenthesis to shorten common case of generator expressions. 152 | output = eval("(" + expression + ")", namespace) 153 | except: 154 | if project.is_recording: 155 | reapy.show_console_message(traceback.format_exc()) 156 | else: 157 | reapy.show_message_box(traceback.format_exc(), "lambdaw expression") 158 | else: 159 | rebuild_peaks = output_converter(output, track_index, item_index, take) 160 | # Update value in namespace immediately. 161 | # reapy.print(f"EVAL: set {var_name} to {namespace[var_name]}") 162 | namespace[var_name] = input_converter(take) 163 | if rebuild_peaks: 164 | build_peaks(take.source) 165 | generated_audio |= rebuild_peaks 166 | 167 | if generated_audio: 168 | collect_garbage() 169 | reapy.update_arrange() 170 | 171 | reapy.RPR.Undo_OnStateChange2(reapy.Project().id, f"lambdaw: evaluate expressions") 172 | 173 | # Setup namespace for user code 174 | namespace = {"sr": SAMPLE_RATE} 175 | 176 | lambdaw_dir = os.path.join(reapy.Project().path, "lambdaw") 177 | audio_dir = os.path.abspath(os.path.join(lambdaw_dir, "audio")) 178 | 179 | # Make directory for generated audio clips 180 | os.makedirs(audio_dir, exist_ok=True) 181 | os.chdir(lambdaw_dir) 182 | 183 | module_path = Path("project.py") 184 | if not module_path.exists(): 185 | module_path.touch() 186 | 187 | # Load user project module by path. 188 | # See https://docs.python.org/3/library/importlib.html#importing-a-source-file-directly 189 | # We need to do it this way instead of just modifying sys.path in order to 190 | # deal with having multiple "project" modules - one per Reaper project. 191 | spec = importlib.util.spec_from_file_location("project", module_path) 192 | user_project_module = importlib.util.module_from_spec(spec) 193 | sys.modules["project"] = user_project_module 194 | spec.loader.exec_module(user_project_module) 195 | exec("from project import *", namespace) 196 | 197 | def scan_items(): 198 | # NOTE: Even if we're only re-evaluating a subset of items, 199 | # the namespace needs to contain all items so user code can refer to them. 200 | snippets = {} 201 | for track_index, track in enumerate(reapy.Project().tracks): 202 | for item_index, item in enumerate(track.items): 203 | take = item.active_take 204 | var_name, *expression = take.name.split("=", 1) 205 | expression = expression[0] if expression else None 206 | # Expression item: may need evaluation 207 | snippets[take.id] = (var_name, expression, track_index, item_index, take) 208 | # reapy.print(f"SCAN: set {var_name} to {namespace[var_name]}") 209 | return snippets 210 | 211 | snippets = scan_items() 212 | project = reapy.Project() 213 | 214 | counter = 0 215 | 216 | CYCLE_LENGTH = project.time_signature[1] / project.time_signature[0] * 60 # seconds 217 | 218 | # track -> take 219 | next_cycle_items = {} 220 | 221 | def is_expression_name(name): 222 | before, *after = name.split("=", 1) 223 | return after and (before == "" or before.isidentifier()) 224 | 225 | def execute(pending): 226 | global counter, snippets, project, next_cycle_items 227 | if not (pending or counter > 3): 228 | # Don't check for updates every time. 229 | counter += 1 230 | return 231 | counter = 0 232 | 233 | # Check for expressions in track names (livecoding mode) 234 | # TODO: Extract to separate function 235 | new_cycle_items = set() 236 | if project.is_recording: 237 | for track in project.tracks: 238 | if is_expression_name(track.name): 239 | if track.id in next_cycle_items and next_cycle_items[track.id].name != track.name: 240 | take = next_cycle_items[track.id] 241 | reapy.RPR.GetSetMediaItemTakeInfo_String(take.id, "P_NAME", track.name, True) 242 | next_cycle_items[track.id] = take 243 | next_cycle_start = (project.play_position // CYCLE_LENGTH + 1) * CYCLE_LENGTH 244 | next_cycle_end = next_cycle_start + CYCLE_LENGTH 245 | for item in track.items: 246 | if item.position < next_cycle_end and item.position + item.length > next_cycle_start: 247 | break # found an item there already 248 | else: 249 | item = track.add_item(next_cycle_start, next_cycle_end) 250 | # Visually indicate that next cycle is pending using item lock 251 | item.set_info_value("C_LOCK", 1) 252 | take = item.add_take() 253 | reapy.RPR.GetSetMediaItemTakeInfo_String(take.id, "P_NAME", track.name, True) 254 | old_take = next_cycle_items.get(track.id, None) 255 | if old_take: 256 | old_take.item.set_info_value("C_LOCK", 0) 257 | next_cycle_items[track.id] = take 258 | new_cycle_items.add(take.id) 259 | else: 260 | for take in next_cycle_items.values(): 261 | take.item.delete() 262 | next_cycle_items = {} 263 | reapy.update_arrange() 264 | 265 | old_snippets = snippets 266 | snippets = scan_items() 267 | # TODO: Only convert *last* copy with name. 268 | for id, (var_name, expression, track_index, item_index, take) in snippets.items(): 269 | # Avoid reading in items newly-generated from tracks, which are empty. 270 | if id not in new_cycle_items: 271 | namespace[var_name] = input_converter(take) 272 | 273 | changed = set() 274 | for key, value in snippets.items(): 275 | if key not in old_snippets or old_snippets[key][1] != value[1]: 276 | changed.add(key) 277 | 278 | # Check for new/updated expressions in take names 279 | # reapy.print("TICK") 280 | if changed or pending: 281 | # reapy.print("changed:", {id: snippets[id][0] for id in changed}) 282 | filter = { 283 | "eval_all": lambda _: True, 284 | "eval_selected": lambda take: take.item.is_selected or take.id in changed, 285 | "": lambda take: take.id in changed, 286 | }[pending] 287 | eval_takes(v for v in snippets.values() if filter(v[-1])) 288 | -------------------------------------------------------------------------------- /loop_test.py: -------------------------------------------------------------------------------- 1 | import reapy 2 | 3 | last_project, last_play_position = None, None 4 | 5 | next_take = 1 6 | 7 | def run_loop(): 8 | global last_project, last_play_position, next_take 9 | p = reapy.Project() 10 | if p.time_selection.is_looping: 11 | play_position = p.play_position 12 | if last_project == p and last_play_position < p.time_selection.end and play_position < last_play_position: 13 | reapy.print("Looped!") 14 | p.selected_items[0].takes[next_take].make_active_take() 15 | next_take = 1 - next_take 16 | 17 | last_project, last_play_position = p, play_position 18 | else: 19 | last_project, last_play_position = None, None 20 | 21 | reapy.defer(run_loop) 22 | 23 | run_loop() 24 | -------------------------------------------------------------------------------- /misc/run_musicvae.py: -------------------------------------------------------------------------------- 1 | import sys 2 | 3 | from magenta.models.music_vae import configs 4 | from magenta.models.music_vae import TrainedModel 5 | 6 | model = sys.argv[1] 7 | config = configs.CONFIG_MAP[model] 8 | checkpoint_dir_or_path = f"{model}.tar" 9 | temperature = 0.5 10 | 11 | model = TrainedModel( 12 | config, batch_size=1, 13 | checkpoint_dir_or_path=checkpoint_dir_or_path) 14 | 15 | results = model.sample( 16 | n=1, 17 | length=config.hparams.max_seq_len, 18 | temperature=temperature) 19 | 20 | print([ 21 | {"pitch": note.pitch, "velocity": note.velocity, "start": note.start_time, "end": note.end_time} 22 | for note in results[0].notes 23 | ]) 24 | -------------------------------------------------------------------------------- /misc/run_rave.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import wave 3 | 4 | import torch 5 | import torchaudio 6 | 7 | if len(sys.argv) < 3: 8 | print(f"usage: {sys.argv[0]} ") 9 | exit() 10 | 11 | model = torch.jit.load(sys.argv[1]) 12 | 13 | audio, sr = torchaudio.load(sys.argv[2]) 14 | 15 | delay = 29100 16 | 17 | audio = torch.concatenate((audio.sum(axis=0), torch.zeros(delay))).reshape(1, 1, -1) 18 | with torch.no_grad(): 19 | output = model(audio).select(0, 0).T.contiguous()[delay:] 20 | 21 | # Avoiding torchaudio.save because it uses a funky format in the wave header (which Python's `wave` module can't read). 22 | with wave.open(sys.argv[3], "wb") as w: 23 | channels = output.shape[1] 24 | w.setnchannels(channels) 25 | w.setsampwidth(2) 26 | w.setframerate(sr) 27 | w.writeframes((output * (2**15-1)).to(torch.int16).numpy()) 28 | -------------------------------------------------------------------------------- /project-module-examples/custom_converter.py: -------------------------------------------------------------------------------- 1 | import lambdaw 2 | from aleatora import * 3 | 4 | # Here, we override LambDAW's default behavior to 5 | # control how it converts Python values into DAW items. 6 | def custom_convert_output(output, *args): 7 | # `output` may be a (potentially endless) iterable. 8 | # So, we peek at the first item in order to determine the type. 9 | first, output = lambdaw.peek(output) 10 | if isinstance(first, tuple): 11 | output = midi.events_to_notes(output) 12 | # Fallback to default converter for any other type. 13 | return lambdaw.convert_output(output, *args) 14 | 15 | lambdaw.register_converters(output=custom_convert_output) 16 | -------------------------------------------------------------------------------- /project-module-examples/intro.py: -------------------------------------------------------------------------------- 1 | # Import things from standard library that we want to use in expressions. 2 | # Convenient to have sin, cos, etc. 3 | from math import * 4 | # and randrange, choice, and co. 5 | from random import * 6 | 7 | 8 | # Music theory 9 | from mingus.core import chords, notes 10 | import music21 as m21 11 | 12 | def note(start, dur, pitch, **args): 13 | return {"start": start, "end": start + dur, "pitch": pitch, **args} 14 | 15 | def arp(chord_name): 16 | ns = chords.from_shorthand(chord_name) 17 | ps = [60 + notes.note_to_int(n) for n in ns] 18 | return [note(i/4, 1/4, p) for i, p in enumerate(ps*4)] 19 | 20 | def transpose(notes, amount, scale=None): 21 | if scale is None: 22 | return [{**note, "pitch": note["pitch"] + amount} for note in notes] 23 | else: 24 | scale = m21.scale.MajorScale(scale) if scale.isupper() else m21.scale.MinorScale(scale) 25 | return [{**note, "pitch": scale.nextPitch(m21.pitch.Pitch(note["pitch"]), stepSize=amount).midi} for note in notes] 26 | 27 | tr = transpose 28 | 29 | # For audio examples (in this project; used for MIDI in other example modules.) 30 | from aleatora import * 31 | 32 | # Wasm experiment 33 | from aleatora import alternator 34 | csound_wasm = alternator.wasm("/home/ian/GT/alternator/alternator/wasm/csound-example-bundle") 35 | python_wasm = alternator.wasm("/home/ian/GT/alternator/alternator/wasm/python-example-bundle") 36 | 37 | 38 | # Generator example 39 | def fib(): 40 | a, b = 1, 1 41 | yield a 42 | yield b 43 | while True: 44 | a, b = b, a + b 45 | yield b 46 | 47 | def fib_tune(d): 48 | return (note(i/8, 1/8, x) for i, x in zip(range(d), fib())) 49 | 50 | 51 | # You can also use the ReaScript API (here via reapy) from expressions. 52 | import reapy 53 | 54 | # Wrap an expression with this to display a message upon evaluation. 55 | def log(x): 56 | reapy.print(x) 57 | return x 58 | 59 | 60 | # Experiment with RAVE 61 | 62 | # This would be ideal, but unfortunately it doesn't work because importing PyTorch causes REAPER to deadlock: 63 | # from aleatora.rave import rave 64 | # vintage = rave("vintage.ts") 65 | 66 | # The multiprocessing module also doesn't work within REAPER. :-( 67 | 68 | # So, for the moment, we do it in a hacky way: just run RAVE in a separate Python process. 69 | # (Long-term solution is to just do all evaluation in a separate Python process.) 70 | import os 71 | import subprocess 72 | import tempfile 73 | 74 | def rave(model_path, audio): 75 | with tempfile.TemporaryDirectory() as dir: 76 | path = os.path.join(dir, "tmp.wav") 77 | wav.save(audio, path) 78 | if subprocess.run(["python", "run_rave.py", model_path + ".ts", path, path]).returncode: 79 | raise RuntimeError("Failed to run RAVE") 80 | return wav.load(path) 81 | 82 | 83 | # Experiment with MusicVAE 84 | 85 | # Same issue as RAVE: we'd like to run the model directly, 86 | # but importing Tensorflow causes REAPER to deadlock. 87 | 88 | import ast 89 | 90 | def musicvae(model): 91 | result = subprocess.run(["python", "run_musicvae.py", model], capture_output=True) 92 | if result.returncode: 93 | raise RuntimeError("Failed to run MusicVAE:\n" + result.stderr.decode("utf8")) 94 | return ast.literal_eval(result.stdout.decode("utf8")) 95 | 96 | 97 | # Use DECTalk to speak and sing. 98 | # (See https://github.com/dectalk/dectalk) 99 | def say(text): 100 | with tempfile.TemporaryDirectory() as dir: 101 | path = os.path.join(dir, "tmp.wav") 102 | if subprocess.run(["./say", "-fo", path, "-a", text]).returncode: 103 | raise RuntimeError("Failed to run DECTalk") 104 | return wav.load(path, resample=True) 105 | 106 | 107 | # def sing(*tune: List[Union[str, Tuple[float, int]]]): 108 | # "tune: list of (phoneme in ARPAbet, duration in seconds, pitch from baseline)" 109 | # text = ' '.join(f"{phoneme}<{round(seconds * 1000)},{pitch}>" for phoneme, seconds, pitch in tune) 110 | def sing(text): 111 | text = f"[:phone on] [{text}]" 112 | with tempfile.TemporaryDirectory() as dir: 113 | path = os.path.join(dir, "tmp.wav") 114 | if subprocess.run(["./say", "-fo", path, "-a", text]).returncode: 115 | raise RuntimeError("Failed to run DECTalk") 116 | return wav.load(path, resample=True) 117 | 118 | 119 | def prompt(min=0, max=100): 120 | p = subprocess.run(["zenity", "--scale", "--min-value", str(min), "--max-value", str(max)], capture_output=True) 121 | return float(p.stdout.decode("utf8")) 122 | -------------------------------------------------------------------------------- /project-module-examples/live.py: -------------------------------------------------------------------------------- 1 | import lambdaw 2 | from aleatora import * 3 | 4 | # Here, we override LambDAW's default behavior to 5 | # control how it converts Python values into DAW items. 6 | def custom_convert_output(output, *args): 7 | # `output` may be a (potentially endless) iterable. 8 | # So, we peek at the first item in order to determine the type. 9 | first, output = lambdaw.peek(output) 10 | if isinstance(first, tuple): 11 | output = midi.events_to_notes(output) 12 | # Fallback to default converter for any other type. 13 | return lambdaw.convert_output(output, *args) 14 | 15 | lambdaw.register_converters(output=custom_convert_output) 16 | 17 | 18 | from random import * 19 | import reapy 20 | 21 | Scale.default = "dorian" 22 | project = reapy.Project() 23 | 24 | def p(pattern, *args, **kwargs): 25 | return beat(P+(pattern), dur=project.time_signature[1], *args, **kwargs) 26 | 27 | def t(pattern, *args, **kwargs): 28 | return tune(P+(pattern), dur=project.time_signature[1], *args, **kwargs) 29 | 30 | def transpose(notes, offset): 31 | return [{**note, "pitch": note["pitch"] + offset} for note in notes] 32 | 33 | # Experiment with Vortex for Tidal notation. 34 | # (Requires latest: `pip install "tidalvortex @ git+https://github.com/tidalcycles/vortex@main"`) 35 | import re 36 | import numbers 37 | import vortex 38 | from vortex import note # for use in expressions 39 | 40 | note_regex = re.compile("([A-Ga-g])([#b]?)(\d*)") 41 | note_names = "cdefgab" 42 | major_scale = [0, 2, 4, 5, 7, 9, 11] 43 | accidentals = {'': 0, '#': 1, 'b': -1} 44 | 45 | def note_to_pitch(note): 46 | if isinstance(note, numbers.Real): 47 | return note 48 | name, accidental, octave = note_regex.match(note).groups() 49 | name = name.lower() 50 | accidental = accidentals[accidental] 51 | octave = int(octave) if octave else 4 52 | return major_scale[note_names.index(name)] + accidental + (octave + 1) * 12 53 | 54 | # TODO: Try custom converter for `vortex.Pattern` instead of using `n()`; 55 | # consider using length of item to determine number of cycles rather than taking argument. 56 | # Ex: 57 | # =n("c d e g") 58 | # =n("c [e g] c5*4", 2) 59 | # =n(note("e d c d e e e ~").slow(2), 2) 60 | def n(pattern, cycles=1): 61 | if isinstance(pattern, str): 62 | pattern = vortex.note(pattern) 63 | for event in pattern.query(vortex.TimeSpan(0, cycles)): 64 | # TODO: Respect cycle length / project time signature 65 | yield {"pitch": note_to_pitch(event.value["note"]), "start": float(event.part.begin), "end": float(event.part.end)} 66 | 67 | 68 | # Experiment with RAVE 69 | 70 | # This would be ideal, but unfortunately it doesn't work because importing PyTorch causes REAPER to deadlock: 71 | # from aleatora.rave import rave 72 | # vintage = rave("vintage.ts") 73 | 74 | # The multiprocessing module also doesn't work within REAPER. :-( 75 | 76 | # So, for the moment, we do it in a hacky way: just run RAVE in a separate Python process. 77 | # (Long-term solution is to just do all evaluation in a separate Python process.) 78 | import os 79 | import subprocess 80 | import tempfile 81 | 82 | def rave(model_path, audio): 83 | with tempfile.TemporaryDirectory() as dir: 84 | path = os.path.join(dir, "tmp.wav") 85 | wav.save(audio, path) 86 | if subprocess.run(["python", "run_rave.py", model_path + ".ts", path, path]).returncode: 87 | raise RuntimeError("Failed to run RAVE") 88 | result = wav.load(path) 89 | return result 90 | 91 | 92 | # Experiment with MusicVAE 93 | 94 | # Same issue as RAVE: we'd like to run the model directly, 95 | # but importing Tensorflow causes REAPER to deadlock. 96 | 97 | import ast 98 | 99 | def musicvae(model): 100 | result = subprocess.run(["python", "run_musicvae.py", model], capture_output=True) 101 | if result.returncode: 102 | raise RuntimeError("Failed to run MusicVAE:\n" + result.stderr.decode("utf8")) 103 | return ast.literal_eval(result.stdout.decode("utf8")) 104 | -------------------------------------------------------------------------------- /reload.py: -------------------------------------------------------------------------------- 1 | import reapy 2 | 3 | reapy.set_ext_state("lambdaw", "pending", "reload") 4 | -------------------------------------------------------------------------------- /session.py: -------------------------------------------------------------------------------- 1 | import ctypes 2 | import importlib 3 | import time 4 | import traceback 5 | 6 | import reapy 7 | 8 | lambdaw = None 9 | project_info = None 10 | needs_load = True 11 | reapy.delete_ext_state("lambdaw", "pending") 12 | 13 | # HACK: Crazy workaround for issue with REAPER's Python support. 14 | # Every time REAPER runs a Python script, ctypes is reimported and resets its pointer type cache. 15 | # This affects *all* instances of Python and can screw up libraries that depend on ctypes 16 | # by causing spurious ctypes ArgumentErrors (due to mismatch between pre- and post-reset pointer types). 17 | # To workaround this, we restore *our* ctypes cache whenever we re-enter this script (and save it when we defer). 18 | ctype_backup = ctypes._pointer_type_cache.copy() 19 | 20 | def run_loop(): 21 | global lambdaw, project_info, needs_load, ctype_backup 22 | ctypes._pointer_type_cache.update(ctype_backup) 23 | 24 | pending = reapy.get_ext_state("lambdaw", "pending") 25 | current_project = reapy.Project() 26 | # Try to detect when user switches projects. 27 | # (ID only changes on tab switch, not when the user opens a different project in the current tab.) 28 | current_project_info = (current_project.id, current_project.name, current_project.path) 29 | if project_info != current_project_info: 30 | project_info = current_project_info 31 | needs_load = True # reload on project switch 32 | elif pending == "reload" or (pending and not lambdaw): 33 | needs_load = True 34 | try: 35 | if needs_load: 36 | start = time.time() 37 | if lambdaw is None: 38 | import lambdaw 39 | else: 40 | importlib.reload(lambdaw) 41 | reapy.RPR.Help_Set(f"lambdaw: loaded module in {time.time() - start:.3f} seconds", False) 42 | needs_load = False 43 | if pending != "reload" and lambdaw: 44 | lambdaw.execute(pending) 45 | except: 46 | reapy.show_message_box(traceback.format_exc(), "lambdaw exception") 47 | 48 | if pending: 49 | reapy.delete_ext_state("lambdaw", "pending") 50 | ctype_backup.update(ctypes._pointer_type_cache) 51 | reapy.defer(run_loop) 52 | 53 | run_loop() 54 | -------------------------------------------------------------------------------- /toggle_expression.py: -------------------------------------------------------------------------------- 1 | import re 2 | import reapy 3 | 4 | project = reapy.Project() 5 | 6 | expr_regex = re.compile("(.*?)([=≠])(.*)") 7 | 8 | def toggle_expression(expr): 9 | if match := expr_regex.match(expr): 10 | name, equal, expression = match.groups() 11 | return name + "=≠"[equal == "="] + expression 12 | 13 | if project.n_selected_items: 14 | for item in project.selected_items: 15 | take = item.active_take 16 | if new_name := toggle_expression(take.name): 17 | reapy.RPR.GetSetMediaItemTakeInfo_String(take.id, "P_NAME", new_name, True) 18 | else: 19 | for track in project.selected_tracks: 20 | if new_name := toggle_expression(track.name): 21 | track.name = new_name 22 | --------------------------------------------------------------------------------