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/* Copyright 2020 Google LLC. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
window.makeStudents = function(){
var seed = new Math.seedrandom('he4a15')
var rand = d3.randomUniform.source(seed)(0, 1)
var letters = 'abcdefgijlmnopqrsuvwxyz'
letters = (letters + letters.toUpperCase()).split('')
var nSickCols = 6
var mSickCols = 8
var fSickCols = nSickCols*2 - mSickCols
var students = d3.range(nCols*nCols).map(i => {
var letter = letters[~~d3.randomUniform.source(seed)(0, letters.length)()]
var isMale = i % 2 == 0
var isSick = i < (isMale ? mSickCols : fSickCols)*nCols
var grade = isSick*.5 + rand()
var pos = {}
return {letter, isSick, isMale, grade, pos}
})
students = _.sortBy(students, d => -d.grade)
d3.nestBy(students, d => d.isSick).forEach(group => {
var isSick = group[0].isSick
var sickCols = nSickCols
var cols = isSick ? sickCols : nCols - sickCols
var xOffset = isSick ? 0 : sickCols
group.forEach((d, i) => {
d.pos.allIJ = [cols - 1 - (i % cols) + xOffset, ~~(i/cols)]
var spreadIJ = d.pos.allIJ.slice()
if (!d.isSick) spreadIJ[0] += .1
d.pos.all = spreadIJ.map(d => d*c.width/10)
})
})
d3.nestBy(students, d => d.isSick + '-' + d.isMale).forEach(group => {
var isSick = group[0].isSick
var isMale = group[0].isMale
var sickCols = isMale ? mSickCols : fSickCols
var cols = isSick ? sickCols : nCols - sickCols
var xOffset = isSick ? 0 : sickCols
var yOffset = isMale ? nCols/2 + 2 : 0
group.forEach((d, i) => {
d.pos.sexIJ = [cols - 1 - (i % cols) + xOffset, ~~(i/cols) + yOffset]
d.pos.sexGroupIJ = [cols - 1 - (i % cols) + xOffset, ~~(i/cols)]
var spreadIJ = d.pos.sexIJ.slice()
if (!d.isSick) spreadIJ[0] += .1
d.pos.sex = spreadIJ.map(d => d*c.width/10)
})
})
students.maleOffsetJ = nCols/2 + 2
students.maleOffsetPx= students.maleOffsetJ*c.width/10
students.fSickCols = fSickCols
students.mSickCols = mSickCols
students.colWidth = c.width/10
students.rand = rand
return students
}
if (window.init) window.init()
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