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HydraSynth {\n\n            constructor ({\n                pb = null,\n                width = 1000,\n                height = 1000,\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":1723841532737},{"text":"Failed to load resource: net::ERR_NAME_NOT_RESOLVED","level":"error","timestamp":1723841533117},{"text":"[.WebGL-0x9d80038b100]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723841533604},{"text":"[.WebGL-0x9d80038b100]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723841533604},{"text":"[.WebGL-0x9d80038b100]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723841533604},{"text":"[.WebGL-0x9d80038b100]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels (this message will no longer repeat)","level":"warning","timestamp":1723841533810}],"screenshotDelay":10000},"timestamp":1723841532076},"created_at":"2024-08-16T20:52:23.974+00:00","updated_at":"2024-08-16T20:52:23.974+00:00"}