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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":1723848866551},{"text":"Failed to load resource: net::ERR_NAME_NOT_RESOLVED","level":"error","timestamp":1723848867255},{"text":"[.WebGL-0x2d800384e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723848868359},{"text":"[.WebGL-0x2d800384e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723848868359},{"text":"[.WebGL-0x2d800384e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723848868359},{"text":"[.WebGL-0x2d800384e00]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels (this message will no longer repeat)","level":"warning","timestamp":1723848868929}],"screenshotDelay":10000},"timestamp":1723848864842},"created_at":"2024-08-16T22:54:40.217+00:00","updated_at":"2024-08-16T22:54:40.218+00:00"}