StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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78 lines
1.8 KiB
78 lines
1.8 KiB
'use strict'
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exports.uniforms = runtimeUniforms
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exports.attributes = runtimeAttributes
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var GL_TO_GLSL_TYPES = {
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'FLOAT': 'float',
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'FLOAT_VEC2': 'vec2',
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'FLOAT_VEC3': 'vec3',
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'FLOAT_VEC4': 'vec4',
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'INT': 'int',
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'INT_VEC2': 'ivec2',
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'INT_VEC3': 'ivec3',
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'INT_VEC4': 'ivec4',
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'BOOL': 'bool',
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'BOOL_VEC2': 'bvec2',
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'BOOL_VEC3': 'bvec3',
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'BOOL_VEC4': 'bvec4',
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'FLOAT_MAT2': 'mat2',
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'FLOAT_MAT3': 'mat3',
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'FLOAT_MAT4': 'mat4',
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'SAMPLER_2D': 'sampler2D',
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'SAMPLER_CUBE':'samplerCube'
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}
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var GL_TABLE = null
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function getType(gl, type) {
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if(!GL_TABLE) {
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var typeNames = Object.keys(GL_TO_GLSL_TYPES)
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GL_TABLE = {}
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for(var i=0; i<typeNames.length; ++i) {
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var tn = typeNames[i]
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GL_TABLE[gl[tn]] = GL_TO_GLSL_TYPES[tn]
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}
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}
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return GL_TABLE[type]
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}
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function runtimeUniforms(gl, program) {
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var numUniforms = gl.getProgramParameter(program, gl.ACTIVE_UNIFORMS)
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var result = []
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for(var i=0; i<numUniforms; ++i) {
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var info = gl.getActiveUniform(program, i)
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if(info) {
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var type = getType(gl, info.type)
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if(info.size > 1) {
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for(var j=0; j<info.size; ++j) {
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result.push({
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name: info.name.replace('[0]', '[' + j + ']'),
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type: type
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})
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}
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} else {
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result.push({
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name: info.name,
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type: type
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})
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}
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}
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}
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return result
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}
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function runtimeAttributes(gl, program) {
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var numAttributes = gl.getProgramParameter(program, gl.ACTIVE_ATTRIBUTES)
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var result = []
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for(var i=0; i<numAttributes; ++i) {
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var info = gl.getActiveAttrib(program, i)
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if(info) {
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result.push({
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name: info.name,
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type: getType(gl, info.type)
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})
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}
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}
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return result
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}
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