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@magenta/core - npm Package Compare versions

Comparing version 0.0.15 to 0.0.16

es5/data_tests.d.ts

17

es5/checkpoint_loader.js

@@ -31,10 +31,6 @@ "use strict";

return new Promise(function (resolve, reject) {
_this.loadManifest().then(function () {
resolve(_this.checkpointManifest);
});
_this.loadManifest().then(function () { resolve(_this.checkpointManifest); });
});
}
return new Promise(function (resolve, reject) {
resolve(_this.checkpointManifest);
});
return new Promise(function (resolve, reject) { resolve(_this.checkpointManifest); });
};

@@ -44,5 +40,3 @@ CheckpointLoader.prototype.getAllVariables = function () {

if (this.variables != null) {
return new Promise(function (resolve, reject) {
resolve(_this.variables);
});
return new Promise(function (resolve, reject) { resolve(_this.variables); });
}

@@ -96,4 +90,5 @@ return new Promise(function (resolve, reject) {

if (quantInfo.max !== quantInfo.min) {
quantConstant_1 = ((quantInfo.max - quantInfo.min) /
(Math.pow(2, quantInfo.bytes * 8) - 1));
quantConstant_1 =
((quantInfo.max - quantInfo.min) /
(Math.pow(2, quantInfo.bytes * 8) - 1));
}

@@ -100,0 +95,0 @@ values = quantValues.map(function (v) { return v * quantConstant_1 + quantInfo.min; });

@@ -0,1 +1,2 @@

import * as tf from '@tensorflow/tfjs';
export declare enum ChordQuality {

@@ -11,2 +12,5 @@ Major = 0,

}
export declare class ChordEncodingException extends Error {
constructor(message?: string);
}
export declare class ChordSymbols {

@@ -17,1 +21,19 @@ static pitches(chord: string): number[];

}
export declare abstract class ChordEncoder {
abstract depth: number;
abstract encode(chord: string): tf.Tensor1D;
}
export declare class MajorMinorChordEncoder extends ChordEncoder {
depth: number;
private index(chord);
encode(chord: string): tf.Tensor<tf.Rank.R1>;
}
export declare class TriadChordEncoder extends ChordEncoder {
depth: number;
private index(chord);
encode(chord: string): tf.Tensor<tf.Rank.R1>;
}
export declare class PitchChordEncoder extends ChordEncoder {
depth: number;
encode(chord: string): tf.Tensor<tf.Rank.R1>;
}

@@ -13,3 +13,5 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("@tensorflow/tfjs");
var tonal_1 = require("tonal");
var constants = require("./constants");
var CHORD_QUALITY_INTERVALS = [

@@ -40,2 +42,13 @@ ['1P', '3M', '5P'],

exports.ChordSymbolException = ChordSymbolException;
var ChordEncodingException = (function (_super) {
__extends(ChordEncodingException, _super);
function ChordEncodingException(message) {
var _newTarget = this.constructor;
var _this = _super.call(this, message) || this;
Object.setPrototypeOf(_this, _newTarget.prototype);
return _this;
}
return ChordEncodingException;
}(Error));
exports.ChordEncodingException = ChordEncodingException;
var ChordSymbols = (function () {

@@ -46,3 +59,3 @@ function ChordSymbols() {

if (!tonal_1.Chord.exists(chord)) {
throw new ChordSymbolException('Unrecognized chord symbol: ' + ("" + chord));
throw new ChordSymbolException("Unrecognized chord symbol: " + chord);
}

@@ -55,3 +68,3 @@ var notes = tonal_1.Chord.notes(chord);

if (!root) {
throw new ChordSymbolException('Chord symbol has unknown root: ' + ("" + chord));
throw new ChordSymbolException("Chord symbol has unknown root: " + chord);
}

@@ -62,3 +75,3 @@ return tonal_1.Note.chroma(root);

if (!tonal_1.Chord.exists(chord)) {
throw new ChordSymbolException('Unrecognized chord symbol: ' + ("" + chord));
throw new ChordSymbolException("Unrecognized chord symbol: " + chord);
}

@@ -79,2 +92,80 @@ var intervals = tonal_1.Chord.intervals(chord);

exports.ChordSymbols = ChordSymbols;
var ChordEncoder = (function () {
function ChordEncoder() {
}
return ChordEncoder;
}());
exports.ChordEncoder = ChordEncoder;
var MajorMinorChordEncoder = (function (_super) {
__extends(MajorMinorChordEncoder, _super);
function MajorMinorChordEncoder() {
var _this = _super !== null && _super.apply(this, arguments) || this;
_this.depth = 1 + 2 * constants.NUM_PITCH_CLASSES;
return _this;
}
MajorMinorChordEncoder.prototype.index = function (chord) {
if (chord === constants.NO_CHORD) {
return 0;
}
var root = ChordSymbols.root(chord);
var quality = ChordSymbols.quality(chord);
var index = 1 + quality * constants.NUM_PITCH_CLASSES + root;
if (index >= this.depth) {
throw new ChordEncodingException("Chord is neither major nor minor: " + chord);
}
return index;
};
MajorMinorChordEncoder.prototype.encode = function (chord) {
return tf.oneHot(tf.tensor1d([this.index(chord)]), this.depth).as1D();
};
return MajorMinorChordEncoder;
}(ChordEncoder));
exports.MajorMinorChordEncoder = MajorMinorChordEncoder;
var TriadChordEncoder = (function (_super) {
__extends(TriadChordEncoder, _super);
function TriadChordEncoder() {
var _this = _super !== null && _super.apply(this, arguments) || this;
_this.depth = 1 + 4 * constants.NUM_PITCH_CLASSES;
return _this;
}
TriadChordEncoder.prototype.index = function (chord) {
if (chord === constants.NO_CHORD) {
return 0;
}
var root = ChordSymbols.root(chord);
var quality = ChordSymbols.quality(chord);
var index = 1 + quality * constants.NUM_PITCH_CLASSES + root;
if (index >= this.depth) {
throw new ChordEncodingException("Chord is not a standard triad: " + chord);
}
return index;
};
TriadChordEncoder.prototype.encode = function (chord) {
return tf.oneHot(tf.tensor1d([this.index(chord)]), this.depth).as1D();
};
return TriadChordEncoder;
}(ChordEncoder));
exports.TriadChordEncoder = TriadChordEncoder;
var PitchChordEncoder = (function (_super) {
__extends(PitchChordEncoder, _super);
function PitchChordEncoder() {
var _this = _super !== null && _super.apply(this, arguments) || this;
_this.depth = 1 + 3 * constants.NUM_PITCH_CLASSES;
return _this;
}
PitchChordEncoder.prototype.encode = function (chord) {
if (chord === constants.NO_CHORD) {
return tf.oneHot(tf.tensor1d([0]), this.depth).as1D();
}
var root = ChordSymbols.root(chord);
var rootEncoding = tf.oneHot(tf.tensor1d([root]), constants.NUM_PITCH_CLASSES).as1D();
var pitchBuffer = tf.buffer([constants.NUM_PITCH_CLASSES]);
ChordSymbols.pitches(chord).forEach(function (pitch) { return pitchBuffer.set(1.0, pitch); });
var pitchEncoding = pitchBuffer.toTensor().as1D();
var bassEncoding = rootEncoding;
return tf.concat1d([tf.tensor1d([0.0]), rootEncoding, pitchEncoding, bassEncoding]);
};
return PitchChordEncoder;
}(ChordEncoder));
exports.PitchChordEncoder = PitchChordEncoder;
//# sourceMappingURL=chords.js.map

@@ -6,1 +6,3 @@ export declare const DEFAULT_QUARTERS_PER_MINUTE = 120;

export declare const MIDI_VELOCITIES = 128;
export declare const NO_CHORD = "N.C.";
export declare const NUM_PITCH_CLASSES = 12;

@@ -8,2 +8,4 @@ "use strict";

exports.MIDI_VELOCITIES = 128;
exports.NO_CHORD = 'N.C.';
exports.NUM_PITCH_CLASSES = 12;
//# sourceMappingURL=constants.js.map

@@ -0,3 +1,3 @@

import { tensorflow } from '@magenta/protobuf';
import * as tf from '@tensorflow/tfjs';
import { tensorflow } from '@magenta/protobuf';
import NoteSequence = tensorflow.magenta.NoteSequence;

@@ -7,8 +7,12 @@ import INoteSequence = tensorflow.magenta.INoteSequence;

type: string;
args: DrumsConverterArgs | MelodyConverterArgs | TrioConverterArgs;
args: BaseConverterArgs;
}
export interface BaseConverterArgs {
numSteps?: number;
numSegments?: number;
}
export declare function converterFromSpec(spec: ConverterSpec): MelodyConverter | DrumsConverter | TrioConverter;
export declare abstract class DataConverter {
readonly abstract numSteps: number;
readonly abstract numSegments: number;
readonly numSteps: number;
readonly numSegments: number;
readonly abstract depth: number;

@@ -18,17 +22,12 @@ readonly abstract NUM_SPLITS: number;

abstract toNoteSequence(tensor: tf.Tensor2D): Promise<INoteSequence>;
constructor(args: BaseConverterArgs);
}
export interface DrumsConverterArgs {
numSteps: number;
numSegments?: number;
export interface DrumsConverterArgs extends BaseConverterArgs {
pitchClasses?: number[][];
}
export declare class DrumsConverter extends DataConverter {
readonly numSteps: number;
readonly numSegments: number;
readonly depth: number;
readonly pitchClasses: number[][];
readonly pitchToClass: {
[pitch: number]: number;
};
readonly pitchToClass: Map<number, number>;
readonly NUM_SPLITS: number;
depth: number;
constructor(args: DrumsConverterArgs);

@@ -41,11 +40,12 @@ toTensor(noteSequence: INoteSequence): tf.Tensor<tf.Rank.R2>;

}
export interface MelodyConverterArgs {
numSteps: number;
export declare class DrumsOneHotConverter extends DrumsConverter {
readonly depth: number;
constructor(args: DrumsConverterArgs);
toTensor(noteSequence: INoteSequence): tf.Tensor<tf.Rank.R2>;
}
export interface MelodyConverterArgs extends BaseConverterArgs {
minPitch: number;
maxPitch: number;
numSegments?: number;
}
export declare class MelodyConverter extends DataConverter {
readonly numSteps: number;
readonly numSegments: number;
readonly minPitch: number;

@@ -61,8 +61,6 @@ readonly maxPitch: number;

}
export interface TrioConverterArgs {
export interface TrioConverterArgs extends BaseConverterArgs {
melArgs: MelodyConverterArgs;
bassArgs: MelodyConverterArgs;
drumsArgs: DrumsConverterArgs;
numSteps: number;
numSegments?: number;
}

@@ -73,4 +71,2 @@ export declare class TrioConverter extends DataConverter {

drumsConverter: DrumsConverter;
readonly numSteps: number;
readonly numSegments: number;
readonly depth: number;

@@ -77,0 +73,0 @@ readonly NUM_SPLITS: number;

@@ -48,7 +48,7 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
var protobuf_1 = require("@magenta/protobuf");
var tf = require("@tensorflow/tfjs");
var protobuf_1 = require("@magenta/protobuf");
var sequences_1 = require("./sequences");
var tflib = require("./tf_lib");
var NoteSequence = protobuf_1.tensorflow.magenta.NoteSequence;
var util_1 = require("util");
var DEFAULT_DRUM_PITCH_CLASSES = [

@@ -78,2 +78,5 @@ [36, 35],

}
else if (spec.type === 'DrumsOneHotConverter') {
return new DrumsOneHotConverter(spec.args);
}
else {

@@ -85,3 +88,5 @@ throw new Error('Unknown DataConverter type in spec: ' + spec.type);

var DataConverter = (function () {
function DataConverter() {
function DataConverter(args) {
this.numSteps = args.numSteps;
this.numSegments = args.numSegments;
}

@@ -94,11 +99,10 @@ return DataConverter;

function DrumsConverter(args) {
var _this = _super.call(this) || this;
var _this = _super.call(this, args) || this;
_this.NUM_SPLITS = 0;
_this.pitchClasses = (args.pitchClasses) ?
args.pitchClasses : DEFAULT_DRUM_PITCH_CLASSES;
_this.numSteps = args.numSteps;
_this.numSegments = args.numSegments;
_this.pitchToClass = {};
_this.pitchClasses = util_1.isNullOrUndefined(args.pitchClasses) ?
DEFAULT_DRUM_PITCH_CLASSES :
args.pitchClasses;
_this.pitchToClass = new Map();
var _loop_1 = function (c) {
this_1.pitchClasses[c].forEach(function (p) { _this.pitchToClass[p] = c; });
this_1.pitchClasses[c].forEach(function (p) { _this.pitchToClass.set(p, c); });
};

@@ -120,3 +124,3 @@ var this_1 = this;

noteSequence.notes.forEach(function (note) {
drumRoll.set(1, note.quantizedStartStep, _this.pitchToClass[note.pitch]);
drumRoll.set(1, note.quantizedStartStep, _this.pitchToClass.get(note.pitch));
drumRoll.set(0, note.quantizedStartStep, -1);

@@ -165,3 +169,3 @@ });

return __awaiter(this, void 0, void 0, function () {
var noteSequence, s, rollSlice, pitches, p;
var noteSequence, rollSplit, s, pitches, p;
return __generator(this, function (_a) {

@@ -171,2 +175,3 @@ switch (_a.label) {

noteSequence = NoteSequence.create();
rollSplit = tf.split(roll, roll.shape[0]);
s = 0;

@@ -176,7 +181,6 @@ _a.label = 1;

if (!(s < roll.shape[0])) return [3, 4];
rollSlice = roll.slice([s, 0], [1, roll.shape[1]]);
return [4, rollSlice.data()];
return [4, rollSplit[s].data()];
case 2:
pitches = _a.sent();
rollSlice.dispose();
rollSplit[s].dispose();
for (p = 0; p < pitches.length; ++p) {

@@ -204,11 +208,29 @@ if (pitches[p]) {

exports.DrumRollConverter = DrumRollConverter;
var DrumsOneHotConverter = (function (_super) {
__extends(DrumsOneHotConverter, _super);
function DrumsOneHotConverter(args) {
var _this = _super.call(this, args) || this;
_this.depth = Math.pow(2, _this.pitchClasses.length);
return _this;
}
DrumsOneHotConverter.prototype.toTensor = function (noteSequence) {
var _this = this;
var numSteps = this.numSteps || noteSequence.totalQuantizedSteps;
var labels = Array(numSteps).fill(0);
for (var _i = 0, _a = noteSequence.notes; _i < _a.length; _i++) {
var _b = _a[_i], pitch = _b.pitch, quantizedStartStep = _b.quantizedStartStep;
labels[quantizedStartStep] += Math.pow(2, this.pitchToClass.get(pitch));
}
return tf.tidy(function () { return tf.oneHot(tf.tensor1d(labels), _this.depth); });
};
return DrumsOneHotConverter;
}(DrumsConverter));
exports.DrumsOneHotConverter = DrumsOneHotConverter;
var MelodyConverter = (function (_super) {
__extends(MelodyConverter, _super);
function MelodyConverter(args) {
var _this = _super.call(this) || this;
var _this = _super.call(this, args) || this;
_this.NUM_SPLITS = 0;
_this.NOTE_OFF = 1;
_this.FIRST_PITCH = 2;
_this.numSteps = args.numSteps;
_this.numSegments = args.numSegments;
_this.minPitch = args.minPitch;

@@ -230,3 +252,4 @@ _this.maxPitch = args.maxPitch;

if (n.pitch < _this.minPitch || n.pitch > _this.maxPitch) {
throw Error("`NoteSequence` has a pitch outside of the valid range: " + n.pitch);
throw Error('`NoteSequence` has a pitch outside of the valid range: ' +
("" + n.pitch));
}

@@ -237,3 +260,3 @@ mel.set(n.pitch - _this.minPitch + _this.FIRST_PITCH, n.quantizedStartStep);

});
return tf.oneHot(mel.toTensor(), this.depth);
return tf.tidy(function () { return tf.oneHot(mel.toTensor(), _this.depth); });
};

@@ -291,3 +314,3 @@ MelodyConverter.prototype.toNoteSequence = function (oh) {

function TrioConverter(args) {
var _this = _super.call(this) || this;
var _this = _super.call(this, args) || this;
_this.NUM_SPLITS = 3;

@@ -301,7 +324,6 @@ _this.MEL_PROG_RANGE = [0, 31];

_this.bassConverter = new MelodyConverter(args.bassArgs);
_this.drumsConverter = new DrumsConverter(args.drumsArgs);
_this.numSteps = args.numSteps;
_this.numSegments = args.numSegments;
_this.depth = (_this.melConverter.depth + _this.bassConverter.depth +
_this.drumsConverter.depth);
_this.drumsConverter = new DrumsOneHotConverter(args.drumsArgs);
_this.depth =
(_this.melConverter.depth + _this.bassConverter.depth +
_this.drumsConverter.depth);
return _this;

@@ -314,10 +336,16 @@ }

var drumsSeq = sequences_1.Sequences.clone(noteSequence);
melSeq.notes = noteSequence.notes.filter(function (n) { return (!n.isDrum && n.program >= _this.MEL_PROG_RANGE[0] &&
n.program <= _this.MEL_PROG_RANGE[1]); });
bassSeq.notes = noteSequence.notes.filter(function (n) { return (!n.isDrum && n.program >= _this.BASS_PROG_RANGE[0] &&
n.program <= _this.BASS_PROG_RANGE[1]); });
melSeq.notes = noteSequence.notes.filter(function (n) {
return (!n.isDrum && n.program >= _this.MEL_PROG_RANGE[0] &&
n.program <= _this.MEL_PROG_RANGE[1]);
});
bassSeq.notes = noteSequence.notes.filter(function (n) {
return (!n.isDrum && n.program >= _this.BASS_PROG_RANGE[0] &&
n.program <= _this.BASS_PROG_RANGE[1]);
});
drumsSeq.notes = noteSequence.notes.filter(function (n) { return n.isDrum; });
return tf.concat([this.melConverter.toTensor(melSeq),
this.bassConverter.toTensor(bassSeq),
this.drumsConverter.toTensor(drumsSeq)], -1);
return tf.tidy(function () { return tf.concat([
_this.melConverter.toTensor(melSeq),
_this.bassConverter.toTensor(bassSeq),
_this.drumsConverter.toTensor(drumsSeq)
], -1); });
};

@@ -331,7 +359,13 @@ TrioConverter.prototype.toNoteSequence = function (th) {

case 0:
ohs = tflib.split(th, [this.melConverter.depth, this.bassConverter.depth,
this.drumsConverter.depth], -1);
ohs = tf.split(th, [
this.melConverter.depth, this.bassConverter.depth,
this.drumsConverter.depth
], -1);
return [4, this.melConverter.toNoteSequence(ohs[0])];
case 1:
ns = _c.sent();
ns.notes.forEach(function (n) {
n.instrument = 0;
n.program = 0;
});
return [4, this.bassConverter.toNoteSequence(ohs[1])];

@@ -342,6 +376,6 @@ case 2:

n.instrument = 1;
n.pitch = _this.BASS_PROG_RANGE[0] + 1;
n.program = _this.BASS_PROG_RANGE[0];
return n;
}));
return [4, this.drumsConverter.toNoteSequence(ohs[1])];
return [4, this.drumsConverter.toNoteSequence(ohs[2])];
case 3:

@@ -353,2 +387,3 @@ drumsNs = _c.sent();

}));
ohs.forEach(function (oh) { return oh.dispose(); });
return [2, ns];

@@ -355,0 +390,0 @@ }

@@ -11,5 +11,3 @@ import { tensorflow } from '@magenta/protobuf';

export { data };
import * as tflib from './tf_lib';
export { tflib };
export * from './midi_io';
export * from './sequences';

@@ -15,6 +15,4 @@ "use strict";

exports.data = data;
var tflib = require("./tf_lib");
exports.tflib = tflib;
__export(require("./midi_io"));
__export(require("./sequences"));
//# sourceMappingURL=index.js.map

@@ -53,6 +53,3 @@ "use strict";

}
ns.tempos.push(NoteSequence.Tempo.create({
time: 0,
qpm: parsedMidi.header.bpm
}));
ns.tempos.push(NoteSequence.Tempo.create({ time: 0, qpm: parsedMidi.header.bpm }));
var instrumentNumber = -1;

@@ -71,5 +68,3 @@ for (var _i = 0, _a = parsedMidi.tracks; _i < _a.length; _i++) {

instrument: instrumentNumber,
program: track.instrumentNumber,
startTime: startTime,
endTime: endTime,
program: track.instrumentNumber, startTime: startTime, endTime: endTime,
pitch: note.midi,

@@ -98,5 +93,3 @@ velocity: Math.floor(note.velocity * constants.MIDI_VELOCITIES),

PPQ: ns.ticksPerQuarter,
timeSignature: [
ns.timeSignatures[0].numerator, ns.timeSignatures[0].denominator
]
timeSignature: [ns.timeSignatures[0].numerator, ns.timeSignatures[0].denominator]
},

@@ -103,0 +96,0 @@ tracks: []

@@ -92,3 +92,4 @@ "use strict";

var note = _a[_i];
note.quantizedStartStep = this.quantizeToStep(note.startTime, stepsPerSecond);
note.quantizedStartStep =
this.quantizeToStep(note.startTime, stepsPerSecond);
note.quantizedEndStep = this.quantizeToStep(note.endTime, stepsPerSecond);

@@ -117,11 +118,9 @@ if (note.quantizedEndStep === note.quantizedStartStep) {

var qns = this.clone(noteSequence);
qns.quantizationInfo = NoteSequence.QuantizationInfo.create({
stepsPerQuarter: stepsPerQuarter
});
qns.quantizationInfo =
NoteSequence.QuantizationInfo.create({ stepsPerQuarter: stepsPerQuarter });
if (qns.timeSignatures.length > 0) {
qns.timeSignatures.sort(function (a, b) {
return a.time - b.time;
});
if (qns.timeSignatures[0].time !== 0 && !(qns.timeSignatures[0].numerator === 4 &&
qns.timeSignatures[0].denominator === 4)) {
qns.timeSignatures.sort(function (a, b) { return a.time - b.time; });
if (qns.timeSignatures[0].time !== 0 &&
!(qns.timeSignatures[0].numerator === 4 &&
qns.timeSignatures[0].denominator === 4)) {
throw new MultipleTimeSignatureException('NoteSequence has an implicit change from initial 4/4 time ' +

@@ -147,7 +146,3 @@ ("signature to " + qns.timeSignatures[0].numerator + "/") +

else {
var timeSignature = NoteSequence.TimeSignature.create({
numerator: 4,
denominator: 4,
time: 0
});
var timeSignature = NoteSequence.TimeSignature.create({ numerator: 4, denominator: 4, time: 0 });
qns.timeSignatures.push(timeSignature);

@@ -165,5 +160,3 @@ }

if (qns.tempos.length > 0) {
qns.tempos.sort(function (a, b) {
return a.time - b.time;
});
qns.tempos.sort(function (a, b) { return a.time - b.time; });
if (qns.tempos[0].time !== 0 &&

@@ -186,10 +179,8 @@ qns.tempos[0].qpm !== constants.DEFAULT_QUARTERS_PER_MINUTE) {

else {
var tempo = NoteSequence.Tempo.create({
qpm: constants.DEFAULT_QUARTERS_PER_MINUTE,
time: 0
});
var tempo = NoteSequence.Tempo.create({ qpm: constants.DEFAULT_QUARTERS_PER_MINUTE, time: 0 });
qns.tempos.push(tempo);
}
var stepsPerSecond = this.stepsPerQuarterToStepsPerSecond(stepsPerQuarter, qns.tempos[0].qpm);
qns.totalQuantizedSteps = this.quantizeToStep(qns.totalTime, stepsPerSecond);
qns.totalQuantizedSteps =
this.quantizeToStep(qns.totalTime, stepsPerSecond);
this.quantizeNotes(qns, stepsPerSecond);

@@ -196,0 +187,0 @@ return qns;

@@ -8,3 +8,3 @@ "use strict";

var splitSizes;
if (typeof (numOrSizeSplits) === "number") {
if (typeof (numOrSizeSplits) === 'number') {
splitSizes = Array(numOrSizeSplits).fill(t.shape[axis] / numOrSizeSplits);

@@ -11,0 +11,0 @@ }

{
"name": "@magenta/core",
"version": "0.0.15",
"version": "0.0.16",
"description": "",

@@ -11,3 +11,3 @@ "main": "es5/index.js",

"@magenta/protobuf": "^0.0.4",
"@tensorflow/tfjs": "^0.6.1",
"@tensorflow/tfjs": "^0.9.0",
"midiconvert": "^0.4.4",

@@ -20,3 +20,4 @@ "tonal": "^1.1.3",

"browserify": "~14.4.0",
"clang-format": "^1.2.2",
"clang-format": "^1.0.41-c",
"fs": "^0.0.1-security",
"tape": "^4.9.0",

@@ -23,0 +24,0 @@ "ts-node": "^5.0.1",

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