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HydraSynth {\n\n            constructor ({\n                pb = null,\n                width = 768,\n                height = 768,\n                numSources = 4,\n                numOutputs = 4,\n                makeGlobal = true,\n                autoLoop = true,\n                detectAudio = false,\n                enableStreamCapture = false,\n                canvas,\n                precision = 'mediump'\n            } = {}) {\n\n                this.bpm = 60\n                this.pb = pb\n                this.width = width\n                this.height = height\n                this.time = 0\n                this.makeGlobal = makeGlobal\n                this.renderAll = false\n                this.detectAudio = detectAudio\n\n                // only allow valid precision options\n                let precisionOptions = ['lowp','mediump','highp']\n                let precisionValid = precisionOptions.includes(precision.toLowerCase())\n\n                this.precision = precisionValid ? precision.toLowerCase() : 'mediump'\n\n                if(!precisionValid){\n                console.warn('[hydra-synth warning]\\nConstructor was provided an invalid floating point precision value of \"' + precision + '\". Using default value of \"mediump\" instead.')\n                }\n\n                // boolean to store when to save screenshot\n                this.saveFrame = false\n\n                // if stream capture is enabled, this object contains the capture stream\n                this.captureStream = null\n\n                this._initCanvas(canvas)\n                this._initRegl()\n                this._initOutputs(numOutputs)\n                this._initSources(numSources)\n                this._generateGlslTransforms()\n\n                window.screencap = () => {\n                this.saveFrame = true\n                }\n\n                if (enableStreamCapture) {\n                this.captureStream = this.canvas.captureStream(25)\n\n                // to do: enable capture stream of specific sources and outputs\n                window.vidRecorder = new VidRecorder(this.captureStream)\n                }\n\n                if(detectAudio) this._initAudio()\n                //if(makeGlobal) {\n                window.mouse = mouse\n                window.time = this.time\n                window['render'] = this.render.bind(this)\n                //  window.bpm = this.bpm\n                window.bpm = this._setBpm.bind(this)\n            //  }\n                if(autoLoop) loop(this.tick.bind(this)).start()\n            }\n\n            getScreenImage(callback) {\n                this.imageCallback = callback\n                this.saveFrame = true\n            }\n\n            resize(width, height) {\n                console.log(width, height)\n                this.canvas = document.querySelector('foreignObject').querySelector('canvas');\n                this.canvas.width = width\n                this.canvas.height = height\n                this.width = width\n                this.height = height\n                this.regl.poll()\n                this.o.forEach((output) => {\n                output.resize(width, height)\n                })\n                this.s.forEach((source) => {\n                source.resize(width, height)\n                })\n            }\n            canvasToImage (callback) {\n                const a = document.createElement('a')\n                a.style.display = 'none'\n\n                let d = new Date()\n                a.download = `hydra-${d.getFullYear()}-${d.getMonth() + 1}-${d.getDate()}-${d.getHours()}.${d.getMinutes()}.${d.getSeconds()}.png`\n                document.body.appendChild(a)\n                var self = this\n                this.canvas.toBlob( (blob) => {\n                //  var url = window.URL.createObjectURL(blob)\n\n                    if(self.imageCallback){\n                    self.imageCallback(blob)\n                    delete self.imageCallback\n                    } else {\n                    a.href = URL.createObjectURL(blob)\n                    console.log(a.href)\n                    a.click()\n                    }\n                }, 'image/png')\n                setTimeout(() => {\n                document.body.removeChild(a);\n                window.URL.revokeObjectURL(a.href);\n                }, 300);\n            }\n\n            _initAudio () {\n                this.audio = new Audio({\n                numBins: 4\n                })\n                if(this.makeGlobal) window.a = this.audio\n            }\n            // create main output canvas and add to screen\n            _initCanvas (canvas) {\n                if (canvas) {\n                this.canvas = canvas\n                this.width = canvas.width\n                this.height = canvas.height\n                } else {\n                this.canvas = document.createElement('canvas')\n                this.canvas.width = this.width\n                this.canvas.height = this.height\n                this.canvas.style.width = '100%'\n                this.canvas.style.height = '100%'\n                document.body.appendChild(this.canvas)\n                }\n            }\n\n            _initRegl () {\n                this.regl = require('regl')({\n                canvas: this.canvas,\n                pixelRatio: 1,\n                extensions: [\n                    'oes_texture_half_float',\n                    'oes_texture_half_float_linear'\n                ],\n                optionalExtensions: [\n                    'oes_texture_float',\n                    'oes_texture_float_linear'\n                ]})\n\n                // This clears the color buffer to black and the depth buffer to 1\n                this.regl.clear({\n                color: [0, 0, 0, 1]\n                })\n\n                this.renderAll = this.regl({\n                frag: `\n                precision ${this.precision} float;\n                varying vec2 uv;\n                uniform sampler2D tex0;\n                uniform sampler2D tex1;\n                uniform sampler2D tex2;\n                uniform sampler2D tex3;\n\n                void main () {\n                    vec2 st = vec2(1.0 - uv.x, uv.y);\n                    st*= vec2(2);\n                    vec2 q = floor(st).xy*(vec2(2.0, 1.0));\n                    int quad = int(q.x) + int(q.y);\n                    st.x += step(1., mod(st.y,2.0));\n                    st.y += step(1., mod(st.x,2.0));\n                    st = fract(st);\n                    if(quad==0){\n                    gl_FragColor = texture2D(tex0, st);\n                    } else if(quad==1){\n                    gl_FragColor = texture2D(tex1, st);\n                    } else if (quad==2){\n                    gl_FragColor = texture2D(tex2, st);\n                    } else {\n                    gl_FragColor = texture2D(tex3, st);\n                    }\n\n                }\n                `,\n                vert: `\n                precision ${this.precision} float;\n                attribute vec2 position;\n                varying vec2 uv;\n\n                void main () {\n                    uv = position;\n                    gl_Position = vec4(1.0 - 2.0 * position, 0, 1);\n                }`,\n                attributes: {\n                    position: [\n                    [-2, 0],\n                    [0, -2],\n                    [2, 2]\n                    ]\n                },\n                uniforms: {\n                    tex0: this.regl.prop('tex0'),\n                    tex1: this.regl.prop('tex1'),\n                    tex2: this.regl.prop('tex2'),\n                    tex3: this.regl.prop('tex3')\n                },\n                count: 3,\n                depth: { enable: false }\n                })\n\n                this.renderFbo = this.regl({\n                frag: `\n                precision ${this.precision} float;\n                varying vec2 uv;\n                uniform vec2 resolution;\n                uniform sampler2D tex0;\n\n                void main () {\n                    gl_FragColor = texture2D(tex0, vec2(1.0 - uv.x, uv.y));\n                }\n                `,\n                vert: `\n                precision ${this.precision} float;\n                attribute vec2 position;\n                varying vec2 uv;\n\n                void main () {\n                    uv = position;\n                    gl_Position = vec4(1.0 - 2.0 * position, 0, 1);\n                }`,\n                attributes: {\n                    position: [\n                    [-2, 0],\n                    [0, -2],\n                    [2, 2]\n                    ]\n                },\n                uniforms: {\n                    tex0: this.regl.prop('tex0'),\n                    resolution: this.regl.prop('resolution')\n                },\n                count: 3,\n                depth: { enable: false }\n                })\n            }\n\n            _initOutputs (numOutputs) {\n                const self = this\n                this.o = (Array(numOutputs)).fill().map((el, index) => {\n                var o = new Output({\n                    regl: this.regl,\n                    width: this.width,\n                    height: this.height,\n                    precision: this.precision\n                })\n                o.render()\n                o.id = index\n                if (self.makeGlobal) window['o' + index] = o\n                return o\n                })\n\n                // set default output\n                this.output = this.o[0]\n            }\n\n            _initSources (numSources) {\n                this.s = []\n                for(var i = 0; i < numSources; i++) {\n                this.createSource()\n                }\n            }\n\n            _setBpm(bpm) {\n                this.bpm = bpm\n            }\n\n            createSource () {\n                let s = new Source({regl: this.regl, pb: this.pb, width: this.width, height: this.height})\n                if(this.makeGlobal) {\n                window['s' + this.s.length] = s\n                }\n                this.s.push(s)\n                return s\n            }\n\n            _generateGlslTransforms () {\n                const self = this\n                const gen = new GeneratorFactory(this.o[0], this.precision)\n                window.generator = gen\n                Object.keys(gen.functions).forEach((key)=>{\n                self[key] = gen.functions[key]\n                if(self.makeGlobal === true) {\n                    window[key] = gen.functions[key]\n                }\n                })\n            }\n\n            render (output) {\n                if (output) {\n                this.output = output\n                this.isRenderingAll = false\n                } else {\n                this.isRenderingAll = true\n                }\n            }\n\n            tick (dt, uniforms) {\n\n            //  if(self.detectAudio === true) self.fft = self.audio.frequencies()\n            // this.regl.frame(function () {\n                this.time += dt * 0.001\n                // console.log(this.time)\n                // this.regl.clear({\n                //   color: [0, 0, 0, 1]\n                // })\n                window.time = this.time\n                if(this.detectAudio === true) this.audio.tick()\n                for (let i = 0; i < this.s.length; i++) {\n                this.s[i].tick(this.time)\n                }\n\n                for (let i = 0; i < this.o.length; i++) {\n                //  console.log('WIDTH', this.canvas.width, this.o[0].getCurrent())\n                this.o[i].tick({\n                    time: this.time,\n                    mouse: mouse,\n                    bpm: this.bpm,\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                }\n\n                // console.log(\"looping\", self.o[0].fbo)\n                if (this.isRenderingAll) {\n                this.renderAll({\n                    tex0: this.o[0].getCurrent(),\n                    tex1: this.o[1].getCurrent(),\n                    tex2: this.o[2].getCurrent(),\n                    tex3: this.o[3].getCurrent(),\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                } else {\n                //  console.log('out', self.output.id)\n                this.renderFbo({\n                    tex0: this.output.getCurrent(),\n                    resolution: [this.canvas.width, this.canvas.height]\n                })\n                }\n                if(this.saveFrame === true) {\n                this.canvasToImage()\n                this.saveFrame = false\n                }\n            }\n\n\n            }","level":"log","timestamp":1723844659244},{"text":"[.WebGL-0x7e000378e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723844661085},{"text":"[.WebGL-0x7e000378e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723844661085},{"text":"[.WebGL-0x7e000378e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723844661085},{"text":"[.WebGL-0x7e000378e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels (this message will no longer repeat)","level":"warning","timestamp":1723844661085}],"screenshotDelay":10000},"timestamp":1723844658221},"created_at":"2024-08-16T21:44:34.113+00:00","updated_at":"2024-08-16T21:44:34.113+00:00"}