/*
Copyright 2018 Google Inc. 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.
*/

#ifndef RESONANCE_AUDIO_DSP_SPECTRAL_REVERB_CONSTANTS_AND_TABLES_H_
#define RESONANCE_AUDIO_DSP_SPECTRAL_REVERB_CONSTANTS_AND_TABLES_H_

#include <algorithm>
#include <cstddef>

namespace vraudio {

// Sampling rate for which the spectral reverb feedback coefficients are
// calculated.
static const float kDefaultSpectralReverbSampleRate = 48000.0f;

// Minimum reverb time supported by the feedback table below (seconds).
static const float kMinReverbTimeForFeedback48kHz = 0.15f;

// Step size between each reverberation time supported by the feedback table
// (seconds).
static const float kTimeStepSizeForFeedback48kHz = 0.01f;

// Number of entries in the feedback table below.
static const size_t kNumFeedbackValues = 2485;

// Value denoting an invalid index into the feedback and magnitude correction
// tables. The feedback and magnitude correction factors will be 0.0 when this
// value is returned from the index lookup method.
const int kInvalidIndex = -1;

// Number of frames of zeros before the reverb onset curve.
const size_t kCompensationOnsetLength = 1024;

// Length in samples of the spectral reverb onset correction curves.
const size_t kCorrectionCurveLength = 6144;

// Index of the feedback factor and curve multipliers. below which the low
// frequency correction curves must be used.
const size_t kCurveChangeoverIndex = 51;

// Offset and scaling values for the compensation curve polynomials. Used to
// ensure the polynomial fitting was well conditioned.
const float kCurveOffset = 3584.5f;
const float kCurveScale = 0.00027897893709025f;

// Number of coefficients in the curve generation polynomials.
const size_t kCurvePolynomialLength = 5;

// Coefficients of the curves making up the first part of the compensation
// envelopes, split into low and high frequency part.
const float kHighReverberationCorrectionCurve[kCurvePolynomialLength] = {
    0.207891278205479f, -0.32101050261694f, 0.124608132159297f,
    0.0119620847734548f, -0.0093840571415877f};

const float kLowReverberationCorrectionCurve[kCurvePolynomialLength] = {
    0.0277040197264401f, -0.0394421854392145f, 0.0519110103856154f,
    -0.0778183422829366f, 0.0343221444553963f};

// Offset from zero for indexing into the feedback array.
const size_t kReverbLookupOffset = static_cast<size_t>(
    kMinReverbTimeForFeedback48kHz / kTimeStepSizeForFeedback48kHz);

// Returns an index to the feedback factor corresponding to the given
// reverberation time. Supports times between:
// (0.15 * 48000 / |sample_rate|)s and (25 * 48000 / |sample_rate|)s.
//
// @param reverberation_time RT60 in seconds.
// @return Index to the closest spectral reverb feedback factor in
//     |kSpectralReverbFeedback|, or |kInvalidIndex| if |reverberation_time|
//     is too small.
static inline int GetFeedbackIndexFromRt60(float reverberation_time,
                                           float sample_rate) {
  // Scaling factor on reverb times applied due to current |sample_rate|. All
  // feedback factors calculated correspond to 48kHz.
  const float scale_factor = sample_rate / kDefaultSpectralReverbSampleRate;
  if (reverberation_time * scale_factor < kMinReverbTimeForFeedback48kHz) {
    return kInvalidIndex;
  }
  return static_cast<int>(
      std::min(kNumFeedbackValues - 1,
               static_cast<size_t>((reverberation_time * scale_factor) /
                                   kTimeStepSizeForFeedback48kHz) -
                   kReverbLookupOffset));
}

// Mapping between reverberation times at a given frequency and the
// corresponding feedback value required in the specral reverb. This table
// covers reverberation times between kMinReverbTimeForFeedback and
// kNumFeedbackValues * kTimeStepSizeForFeedback, i.e. 0.15s and 25s @48kHz.
static const float kSpectralReverbFeedback[kNumFeedbackValues] = {
    0.231626448720861f, 0.231626448720861f, 0.271965742827169f,
    0.291599040391330f, 0.313450848869688f, 0.332864905289138f,
    0.350285532738638f, 0.366049684043223f, 0.383143567924904f,
    0.398574170268545f, 0.427500186399158f, 0.441038795823222f,
    0.453430889363735f, 0.466397294153677f, 0.478272702354267f,
    0.490519904155818f, 0.501757394995813f, 0.512125955040727f,
    0.521739757418252f, 0.548135448526531f, 0.548135448526531f,
    0.563990087718933f, 0.571497329505391f, 0.578784680803617f,
    0.585892965998708f, 0.592858971592466f, 0.599714945736390f,
    0.606488097764666f, 0.613200097727167f, 0.619866575922435f,
    0.626496622430680f, 0.633092286646765f, 0.639648076813205f,
    0.646150459553150f, 0.652577359403386f, 0.658897658347319f,
    0.665070695347976f, 0.671045765880981f, 0.676761621467567f,
    0.682145969207546f, 0.682145969207546f, 0.687114971312322f,
    0.691572744637866f, 0.695410860217716f, 0.700728670360266f,
    0.701931035813262f, 0.700570291691920f, 0.718477641957808f,
    0.718477641957808f, 0.721948612036913f, 0.725341703212013f,
    0.728658944837357f, 0.731902322614612f, 0.735073779107144f,
    0.738175214254303f, 0.741208485885712f, 0.744175410235544f,
    0.747077762456819f, 0.749917277135678f, 0.752695648805674f,
    0.755414532462056f, 0.758075544076055f, 0.760680261109167f,
    0.763230223027440f, 0.765726931815758f, 0.768171852492127f,
    0.770566413621959f, 0.772912007832361f, 0.775209992326414f,
    0.777461689397460f, 0.779668386943394f, 0.781831338980938f,
    0.783951766159935f, 0.786030856277629f, 0.788069764792952f,
    0.790069615340812f, 0.792031500246373f, 0.793956481039341f,
    0.795845588968255f, 0.797699825514762f, 0.799520162907914f,
    0.801307544638442f, 0.803062885973050f, 0.804787074468694f,
    0.806480970486870f, 0.808145407707900f, 0.809781193645214f,
    0.811389110159637f, 0.812969913973676f, 0.814524337185802f,
    0.816053087784737f, 0.817556850163737f, 0.819036285634880f,
    0.820492032943351f, 0.821924708781723f, 0.823334908304248f,
    0.824723205641138f, 0.826090154412852f, 0.827436288244380f,
    0.828762121279528f, 0.830068148695207f, 0.831354847215712f,
    0.833872075291032f, 0.835103470659940f, 0.836317269790432f,
    0.837513864858018f, 0.838693632671302f, 0.841004120020598f,
    0.841004120020598f, 0.842135520967878f, 0.843251458511968f,
    0.844352240341239f, 0.846509506717154f, 0.847566547291731f,
    0.848609545235926f, 0.849638751975006f, 0.850654409224479f,
    0.851656749504368f, 0.852645996653501f, 0.853622366343797f,
    0.854586066594550f, 0.855537298286716f, 0.856476255677194f,
    0.857403126913115f, 0.858318094546124f, 0.859221336046671f,
    0.860113024318288f, 0.860993328211881f, 0.861862413040010f,
    0.862720441091179f, 0.863567572144118f, 0.864403963982066f,
    0.865229772907064f, 0.866045154254231f, 0.866850262906056f,
    0.867645253806680f, 0.868430282476178f, 0.869205505524854f,
    0.869971081167516f, 0.870727169737766f, 0.871473934202282f,
    0.872211540675109f, 0.872940158931938f, 0.873659962924396f,
    0.874371131294327f, 0.875073847888079f, 0.876454690240667f,
    0.877133214343288f, 0.877804084385866f, 0.878467517951544f,
    0.879123740913686f, 0.879772987950149f, 0.880415503057582f,
    0.881051540065697f, 0.881681363151570f, 0.882305247353907f,
    0.882923479087349f, 0.883536356656744f, 0.884144190771436f,
    0.884747305059551f, 0.885346036582283f, 0.885940736348172f,
    0.886531769827401f, 0.887119517466070f, 0.887704375200491f,
    0.888286754971462f, 0.888867085238566f, 0.889355868225441f,
    0.889898852584961f, 0.890436987253855f, 0.890970321870216f,
    0.891498905661491f, 0.892022787446309f, 0.892542015636295f,
    0.893056638237894f, 0.893566702854191f, 0.894072256686731f,
    0.894573346537340f, 0.895070018809945f, 0.895562319512397f,
    0.896533988268773f, 0.897013446374392f, 0.897488713016890f,
    0.897959832251035f, 0.898426847746442f, 0.898889802789393f,
    0.899348740284655f, 0.899803702757303f, 0.900254732354541f,
    0.900701870847520f, 0.901145159633161f, 0.901584639735976f,
    0.902020351809884f, 0.902452336140039f, 0.902880632644642f,
    0.903305280876771f, 0.903726320026192f, 0.904143788921187f,
    0.904557726030372f, 0.904968169464516f, 0.905375156978364f,
    0.905778725972456f, 0.906178913494948f, 0.906575756243433f,
    0.906969290566763f, 0.907359552466865f, 0.907746577600566f,
    0.908130401281413f, 0.908511058481491f, 0.908888583833246f,
    0.909263011631306f, 0.909634375834297f, 0.910002710066671f,
    0.910368047620521f, 0.910730421457403f, 0.911446408184725f,
    0.911800085361980f, 0.912150927399534f, 0.912498965633569f,
    0.912844231080653f, 0.913186754439560f, 0.913526566093093f,
    0.913863696109903f, 0.914198174246311f, 0.914530029948127f,
    0.914859292352470f, 0.915185990289593f, 0.915510152284696f,
    0.915831806559755f, 0.916150981035335f, 0.916467703332418f,
    0.916782000774218f, 0.917093900388001f, 0.917403428906911f,
    0.917710612771787f, 0.918015478132983f, 0.918318050852190f,
    0.918916420379010f, 0.919212267483073f, 0.919505922541691f,
    0.919797410000546f, 0.920086754027583f, 0.920373978514824f,
    0.920659107080196f, 0.920942163069346f, 0.921223169557465f,
    0.921502149351104f, 0.921779124990001f, 0.922054118748897f,
    0.922327152639358f, 0.922598248411594f, 0.922867427556284f,
    0.923134711306391f, 0.923400120638986f, 0.923663676277069f,
    0.923925398691385f, 0.924185308102252f, 0.924443424481376f,
    0.924699767553671f, 0.924954356799086f, 0.925207211454416f,
    0.925458350515133f, 0.925707792737198f, 0.925955556638886f,
    0.926201660502607f, 0.926446122376723f, 0.926688960077372f,
    0.926930191190288f, 0.927169833072619f, 0.927407902854752f,
    0.927644417442129f, 0.927879393517071f, 0.928112847540597f,
    0.928344795754244f, 0.928575254181890f, 0.928804238631573f,
    0.929031764697310f, 0.929257847760921f, 0.929705745358969f,
    0.929927589612438f, 0.930148050305480f, 0.930367141786232f,
    0.930584878201552f, 0.930801273498844f, 0.931016341427878f,
    0.931230095542612f, 0.931442549203009f, 0.931653715576860f,
    0.931863607641606f, 0.932072238186154f, 0.932279619812703f,
    0.932485764938561f, 0.932690685797968f, 0.932894394443911f,
    0.933096902749953f, 0.933298222412048f, 0.933498364950364f,
    0.933697341711099f, 0.933895163868310f, 0.934091842425725f,
    0.934287388218568f, 0.934481811915380f, 0.934675124019838f,
    0.934867334872576f, 0.935058454653005f, 0.935437460919395f,
    0.935625366974452f, 0.935812221099035f, 0.935998032693751f,
    0.936182811008910f, 0.936182811008910f, 0.936366565146343f,
    0.936731036563891f, 0.936911771321662f, 0.937091516860660f,
    0.937270281567636f, 0.937448073691783f, 0.937624901346560f,
    0.937800772511514f, 0.937975695034098f, 0.938149676631492f,
    0.938322724892425f, 0.938494847278995f, 0.938666051128488f,
    0.938836343655203f, 0.939005731952265f, 0.939174222993452f,
    0.939341823635016f, 0.939508540617498f, 0.939674380567555f,
    0.939839349999772f, 0.940003455318495f, 0.940166702819640f,
    0.940329098692519f, 0.940490649021660f, 0.940651359788628f,
    0.940811236873844f, 0.940970286058407f, 0.941128513025914f,
    0.941285923364282f, 0.941442522567564f, 0.941598316037775f,
    0.941753309086713f, 0.941907506937771f, 0.942060914727768f,
    0.942213537508766f, 0.942365380249885f, 0.942516447839133f,
    0.942666745085221f, 0.942816276719382f, 0.942965047397198f,
    0.943113061700413f, 0.943260324138759f, 0.943406839151775f,
    0.943552611110629f, 0.943697644319934f, 0.943841943019572f,
    0.944128353536651f, 0.944270473526585f, 0.944411875355484f,
    0.944552562966882f, 0.944692540250507f, 0.944831811044098f,
    0.944970379135229f, 0.945108248263126f, 0.945245422120492f,
    0.945381904355324f, 0.945517698572732f, 0.945652808336767f,
    0.945787237172233f, 0.945920988566514f, 0.946054065971390f,
    0.946186472804861f, 0.946318212452965f, 0.946449288271601f,
    0.946579703588348f, 0.946709461704285f, 0.946838565895813f,
    0.946967019416476f, 0.947094825498780f, 0.947221987356014f,
    0.947348508184070f, 0.947474391163268f, 0.947599639460168f,
    0.947724256229401f, 0.947848244615479f, 0.947971607754624f,
    0.948016355753743f, 0.948131749028067f, 0.948256528604491f,
    0.948381070023128f, 0.948495820690419f, 0.948619906515573f,
    0.948734238085242f, 0.948857871450992f, 0.948971786801436f,
    0.949094970810335f, 0.949208472791043f, 0.949321777358027f,
    0.949444301946475f, 0.949557197308729f, 0.949669897241678f,
    0.949782402382633f, 0.949894713365863f, 0.950016165228152f,
    0.950128073740068f, 0.950239790030961f, 0.950351314722867f,
    0.950462648434873f, 0.950573791783135f, 0.950684745380899f,
    0.950786286676309f, 0.950896878289179f, 0.951007281923720f,
    0.951117498181945f, 0.951227527663044f, 0.951328224451603f,
    0.951437897607799f, 0.951547385718536f, 0.951647587765244f,
    0.951756722847544f, 0.952281634952469f, 0.952380709437317f,
    0.952479632641358f, 0.952587376840327f, 0.952685985134598f,
    0.952784443487780f, 0.952891682098038f, 0.952989828324488f,
    0.953087825932233f, 0.953185675345440f, 0.953283376986503f,
    0.953380931276052f, 0.953478338632963f, 0.953584434118178f,
    0.953681535598181f, 0.953778491429264f, 0.953875302023227f,
    0.953963185967004f, 0.954059720427442f, 0.954156110839052f,
    0.954252357607017f, 0.954348461134851f, 0.954444421824404f,
    0.954627224309327f, 0.954627224309327f, 0.954722771738916f,
    0.954818177885333f, 0.954999925992284f, 0.955086293022387f,
    0.955181163332660f, 0.955267288091851f, 0.955361892609296f,
    0.955447776377266f, 0.955542116504091f, 0.955627760550641f,
    0.955721837678226f, 0.955807243263361f, 0.955892535735487f,
    0.955986227146404f, 0.956071282999438f, 0.956156226611782f,
    0.956241058262726f, 0.956334244095430f, 0.956418841531991f,
    0.956503327866496f, 0.956587703374087f, 0.956671968328910f,
    0.956756123004115f, 0.956840167671866f, 0.956924102603339f,
    0.957007928068733f, 0.957091644337270f, 0.957175251677203f,
    0.957258750355817f, 0.957342140639439f, 0.957425422793436f,
    0.957508597082225f, 0.957591663769275f, 0.957666332005129f,
    0.957749194971355f, 0.957831951094582f, 0.957914600634626f,
    0.957988894306034f, 0.958071342050505f, 0.958153683960035f,
    0.958227701401528f, 0.958309842929826f, 0.958383680442363f,
    0.958465622508191f, 0.958539280915875f, 0.958621024431827f,
    0.958694504553236f, 0.958776050425793f, 0.958849353074026f,
    0.958930702203609f, 0.959003828186335f, 0.959076870765751f,
    0.959157931586863f, 0.959230798681224f, 0.959303582928693f,
    0.959384357364767f, 0.959456967296096f, 0.959529494931521f,
    0.959601940447006f, 0.959674304017958f, 0.959746585819239f,
    0.959826803241069f, 0.959898912989265f, 0.959970941508314f,
    0.960042888970841f, 0.960114755548935f, 0.960186541414150f,
    0.960258246737504f, 0.960329871689484f, 0.960401416440053f,
    0.960472881158639f, 0.960544266014151f, 0.960607652309644f,
    0.960678886771683f, 0.960750041855675f, 0.960821117728505f,
    0.960892114556548f, 0.960955156623649f, 0.961026004596989f,
    0.961096774003302f, 0.961167465006980f, 0.961230235767696f,
    0.961300779124251f, 0.961433815192630f, 0.961433815192630f,
    0.961504133859284f, 0.961566574305389f, 0.961636746788933f,
    0.961699057549504f, 0.961769084422862f, 0.961901147838506f,
    0.961963200748498f, 0.961963200748498f, 0.962032938107125f,
    0.962094862846269f, 0.962164456293847f, 0.962226253361271f,
    0.962287990519784f, 0.962357373349702f, 0.962418983565341f,
    0.962480534213617f, 0.962611132054796f, 0.962672497254291f,
    0.962733803332908f, 0.962795050398145f, 0.962863882940590f,
    0.962925004958022f, 0.962986068296167f, 0.963047073061348f,
    0.963108019359607f, 0.963168907296701f, 0.963229736978111f,
    0.963290508509035f, 0.963351221994394f, 0.963411877538831f,
    0.963472475246711f, 0.963533015222125f, 0.963593497568891f,
    0.963653922390548f, 0.963714289790367f, 0.963774599871346f,
    0.963834852736211f, 0.963895048487418f, 0.963947672999015f,
    0.964007761937330f, 0.964067794055055f, 0.964127769453608f,
    0.964187688234142f, 0.964240070801961f, 0.964299883695432f,
    0.964359640260232f, 0.964471532344270f, 0.964531127521006f,
    0.964583227407251f, 0.964642717773864f, 0.964642717773864f,
    0.964702152384023f, 0.964813442340238f, 0.964865310872176f,
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    0.989288512832923f, 0.989293509224907f, 0.989298505205893f,
    0.989303500775945f, 0.989308495935126f, 0.989313490683502f,
    0.989318485021135f, 0.989323478948089f, 0.989328472464430f,
    0.989333465570220f, 0.989338458265524f, 0.989343450550404f,
    0.989348442424926f, 0.989353433889154f, 0.989358424943150f,
    0.989363415586979f, 0.989368405820704f, 0.989373395644390f,
    0.989378385058100f, 0.989383374061898f, 0.989388362655847f,
    0.989393350840012f, 0.989398338614456f, 0.989403325979243f,
    0.989408312934436f, 0.989413299480100f, 0.989418285616298f,
    0.989423271343093f, 0.989428256660550f, 0.989433241568731f,
    0.989438226067700f, 0.989443210157522f, 0.989448193838259f,
    0.989453177109976f, 0.989458159972735f, 0.989463142426600f,
    0.989468124471636f, 0.989473106107904f, 0.989478087335469f,
    0.989483068154395f, 0.989488048564745f, 0.989493028566581f,
    0.989498008159969f, 0.989502987344970f, 0.989507966121648f,
    0.989512944490068f, 0.989517922450292f, 0.989522900002383f,
    0.989527877146405f, 0.989532853882422f, 0.989537830210496f,
    0.989542806130691f, 0.989547781643070f, 0.989552756747697f,
    0.989557731444634f, 0.989562705733946f, 0.989567679615695f,
    0.989572653089944f, 0.989577626156756f, 0.989582598816196f,
    0.989587571068325f, 0.989592542913208f, 0.989597514350907f,
    0.989602485381486f, 0.989607456005007f, 0.989612426221533f,
    0.989617396031129f, 0.989622365433856f, 0.989627334429779f,
    0.989632303018959f, 0.989637271201460f, 0.989642238977345f,
    0.989647206346678f, 0.989652173309519f, 0.989657139865935f,
    0.989662106015986f, 0.989667071759736f, 0.989667071759736f,
    0.989672037097247f, 0.989677002028584f, 0.989681966553808f,
    0.989686930672983f, 0.989691894386171f, 0.989696857693435f,
    0.989701820594839f, 0.989706783090444f, 0.989711745180314f,
    0.989716706864512f, 0.989721668143100f, 0.989726629016141f,
    0.989731589483698f, 0.989736549545834f, 0.989741509202611f,
    0.989746468454092f, 0.989751427300340f, 0.989756385741417f,
    0.989761343777386f, 0.989761343777386f, 0.989766301408311f,
    0.989771258634252f, 0.989776215455275f, 0.989781171871439f,
    0.989786127882809f, 0.989791083489447f, 0.989796038691415f,
    0.989800993488776f, 0.989805947881593f, 0.989810901869928f,
    0.989815855453843f, 0.989820808633402f, 0.989825761408667f,
    0.989830713779699f, 0.989835665746562f, 0.989840617309318f,
    0.989840617309318f, 0.989845568468030f, 0.989850519222759f,
    0.989855469573569f, 0.989860419520521f, 0.989865369063679f,
    0.989870318203104f, 0.989875266938858f, 0.989880215271005f,
    0.989885163199606f, 0.989885163199606f, 0.989890110724724f,
    0.989895057846421f, 0.989900004564759f, 0.989904950879801f,
    0.989909896791608f, 0.989914842300244f, 0.989919787405770f,
    0.989924732108248f, 0.989929676407741f, 0.989934620304311f,
    0.989939563798019f, 0.989944506888929f, 0.989944506888929f,
    0.989949449577102f, 0.989954391862601f, 0.989959333745488f,
    0.989964275225823f, 0.989969216303671f, 0.989974156979092f,
    0.989979097252149f, 0.989984037122904f, 0.989988976591419f,
    0.989993915657756f, 0.990102473491435f, 0.989998854321976f,
    0.990003792584142f, 0.990008730444317f, 0.990013667902561f,
    0.990018604958937f, 0.990127118651726f, 0.990132046482196f,
    0.990136973912279f, 0.990141900942038f, 0.990146827571534f,
    0.990097543257357f, 0.990048218861426f, 0.990053153106457f,
    0.990058086950115f, 0.990166530088123f, 0.990171454717229f,
    0.990176378946441f, 0.990181302775822f, 0.990077818312251f,
    0.990082750149969f, 0.990087681586685f, 0.990092612622461f,
    0.990200994096251f, 0.990205915927393f, 0.990210837359071f,
    0.990215758391347f, 0.990220679024282f, 0.990220679024282f,
    0.990225599257938f, 0.990230519092376f, 0.990235438527657f,
    0.990240357563843f, 0.990245276200994f, 0.990250194439173f,
    0.990255112278440f, 0.990255112278440f, 0.990260029718857f,
    0.990264946760485f, 0.990269863403386f, 0.990274779647619f,
    0.990279695493247f, 0.990284610940331f, 0.990284610940331f,
    0.990289525988932f, 0.990294440639111f, 0.990299354890930f,
    0.990304268744449f, 0.990309182199729f, 0.990314095256832f,
    0.990314095256832f, 0.990319007915819f, 0.990323920176751f,
    0.990328832039688f, 0.990333743504692f, 0.990338654571825f,
    0.990338654571825f, 0.990343565241146f, 0.990348475512717f,
    0.990353385386600f, 0.990358294862854f, 0.990363203941541f,
    0.990363203941541f, 0.990368112622723f, 0.990373020906459f,
    0.990377928792811f, 0.990382836281839f, 0.990387743373605f,
    0.990387743373605f, 0.990392650068170f, 0.990397556365594f,
    0.990402462265938f, 0.990407367769264f, 0.990412272875631f,
    0.990412272875631f, 0.990417177585100f, 0.990422081897733f,
    0.990426985813592f, 0.990431889332734f, 0.990436792455222f,
    0.990441695181118f, 0.990446597510480f, 0.990446597510480f,
    0.990451499443371f, 0.990456400979850f, 0.990461302119979f,
    0.990466202863817f, 0.990471103211427f, 0.990471103211427f,
    0.990476003162868f, 0.990480902718201f, 0.990485801877487f,
    0.990490700640787f, 0.990490700640787f, 0.990495599008160f,
    0.990500496979667f, 0.990505394555370f, 0.990510291735329f,
    0.990515188519603f, 0.990515188519603f, 0.990520084908255f,
    0.990524980901343f, 0.990529876498930f, 0.990534771701074f,
    0.990539666507838f, 0.990539666507838f, 0.990544560919280f,
    0.990549454935462f, 0.990554348556445f, 0.990559241782288f,
    0.990564134613051f, 0.990564134613051f, 0.990569027048796f,
    0.990573919089582f, 0.990578810735471f, 0.990583701986522f,
    0.990583701986522f, 0.990588592842796f, 0.990593483304352f,
    0.990598373371253f, 0.990598373371253f, 0.990603263043557f,
    0.990608152321324f, 0.990613041204617f, 0.990617929693493f,
    0.990622817788014f, 0.990622817788014f, 0.990627705488241f,
    0.990632592794232f, 0.990637479706049f, 0.990642366223752f,
    0.990642366223752f, 0.990647252347400f, 0.990652138077054f,
    0.990657023412774f, 0.990661908354621f, 0.990661908354621f,
    0.990666792902654f, 0.990671677056933f, 0.990676560817519f,
    0.990681444184472f, 0.990681444184472f, 0.990686327157852f,
    0.990691209737718f, 0.990696091924130f, 0.990700973717151f,
    0.990700973717151f, 0.990705855116837f, 0.990710736123251f,
    0.990715616736451f, 0.990715616736451f, 0.990720496956498f,
    0.990725376783453f, 0.990730256217374f, 0.990735135258321f,
    0.990735135258321f, 0.990740013906355f, 0.990744892161536f,
    0.990749770023923f, 0.990754647493576f, 0.990754647493576f,
    0.990759524570556f, 0.990764401254922f, 0.990769277546733f,
    0.990774153446051f, 0.990774153446051f, 0.990779028952933f,
    0.990783904067441f, 0.990788778789634f, 0.990788778789634f,
    0.990793653119573f, 0.990798527057315f, 0.990803400602923f,
    0.990808273756453f, 0.990808273756453f, 0.990813146517969f,
    0.990818018887528f, 0.990822890865190f, 0.990827762451014f,
    0.990827762451014f, 0.990832633645062f, 0.990837504447392f,
    0.990842374858063f, 0.990842374858063f, 0.990847244877137f,
    0.990852114504671f, 0.990856983740726f, 0.990856983740726f,
    0.990861852585361f, 0.990866721038637f, 0.990871589100612f,
    0.990876456771346f, 0.990876456771346f, 0.990881324050898f,
    0.990886190939329f, 0.990891057436697f, 0.990891057436697f,
    0.990895923543062f, 0.990900789258484f, 0.990905654583022f,
    0.990905654583022f, 0.990910519516736f, 0.990915384059684f,
    0.990920248211927f, 0.990920248211927f, 0.990925111973523f,
    0.990929975344533f, 0.990934838325015f, 0.990939700915029f,
    0.990939700915029f, 0.990944563114635f, 0.990949424923891f,
    0.990954286342857f, 0.990954286342857f, 0.990959147371593f,
    0.990964008010157f, 0.990968868258609f, 0.990968868258609f,
    0.990973728117009f, 0.990978587585414f, 0.990983446663886f,
    0.990988305352482f, 0.990988305352482f, 0.990993163651263f,
    0.990998021560288f, 0.991002879079614f, 0.991002879079614f,
    0.991007736209303f, 0.991012592949413f, 0.991017449300003f,
    0.991017449300003f, 0.991022305261132f, 0.991027160832860f,
    0.991032016015245f, 0.991032016015245f, 0.991036870808346f,
    0.991041725212224f, 0.991046579226937f, 0.991046579226937f,
    0.991051432852543f, 0.991056286089103f, 0.991061138936675f,
    0.991061138936675f, 0.991065991395318f, 0.991070843465090f,
    0.991075695146052f, 0.991075695146052f, 0.991080546438262f,
    0.991085397341780f, 0.991090247856663f, 0.991090247856663f,
    0.991095097982971f, 0.991099947720763f, 0.991104797070098f,
    0.991109646031035f, 0.991109646031035f, 0.991114494603633f,
    0.991119342787949f, 0.991119342787949f, 0.991124190584045f,
    0.991129037991978f, 0.991133885011807f, 0.991133885011807f,
    0.991138731643591f, 0.991143577887389f, 0.991148423743260f,
    0.991148423743260f, 0.991153269211262f, 0.991158114291454f,
    0.991158114291454f, 0.991162958983895f, 0.991167803288644f,
    0.991172647205759f, 0.991172647205759f, 0.991177490735300f,
    0.991182333877324f, 0.991187176631891f, 0.991187176631891f,
    0.991192040874586f, 0.991196904726712f, 0.991196904726712f,
    0.991201768188329f, 0.991206631259494f, 0.991211493940268f,
    0.991211493940268f, 0.991216356230710f, 0.991221218130880f,
    0.991226079640835f, 0.991230940760638f, 0.991230940760638f,
    0.991235801490345f, 0.991240661830017f, 0.991245521779712f,
    0.991245521779712f, 0.991250381339491f, 0.991255240509413f,
    0.991260099289535f, 0.991260099289535f, 0.991264957679918f,
    0.991269815680622f, 0.991274673291704f, 0.991274673291704f,
    0.991279530513224f, 0.991284387345243f, 0.991289243787817f,
    0.991289243787817f, 0.991294099841006f, 0.991298955504871f,
    0.991303810779470f, 0.991303810779470f, 0.991308665664861f,
    0.991313520161105f, 0.991318374268260f, 0.991318374268260f,
    0.991323227986385f, 0.991328081315538f, 0.991332934255781f,
    0.991332934255781f, 0.991337786807170f, 0.991342638969767f,
    0.991347490743627f, 0.991347490743627f, 0.991352342128812f,
    0.991357193125380f, 0.991357193125380f, 0.991362043733390f,
    0.991366893952901f, 0.991371743783973f, 0.991371743783973f,
    0.991376593226661f, 0.991381442281029f, 0.991386290947134f,
    0.991386290947134f, 0.991391139225033f, 0.991395987114787f,
    0.991400834616454f, 0.991400834616454f, 0.991405681730093f,
    0.991410528455763f, 0.991410528455763f, 0.991415374793522f,
    0.991420220743429f, 0.991425066305544f, 0.991425066305544f,
    0.991429911479924f, 0.991434756266630f, 0.991439600665718f,
    0.991439600665718f, 0.991444444677248f, 0.991449288301280f,
    0.991449288301280f};

// Mapping between reverberation times at a given frequency and the
// corresponding magnitude compensation value required in the specral reverb to
// achieve 1.0 magnitude for any decay rate when combined with the convolution
// compensator. This table covers reverberation times between
// kMinReverbTimeForFeedback and kNumFeedbackValues * kTimeStepSizeForFeedback,
// i.e. 0.15s and 25s @48kHz.
static const float kMagnitudeCompensation[kNumFeedbackValues] = {
    17.3996715487709f, 17.4034178858004f, 16.6795907475848f, 16.3502965109599f,
    15.9879028507326f, 15.6718483944106f, 15.4042251167111f, 15.1677088170684f,
    14.9119678952536f, 14.6906933374371f, 14.2839187463763f, 14.0999475816121f,
    13.9338828421032f, 13.7652114598195f, 13.6133888181873f, 13.4638764218013f,
    13.3247278048121f, 13.1976499042192f, 13.0833841919256f, 12.7669049046296f,
    12.7761019806869f, 12.7855596748707f, 12.5979372062571f, 12.5244917829334f,
    12.4453918694998f, 12.3672592847373f, 12.3020244979211f, 12.2257529341565f,
    12.1547662449381f, 12.0845455398564f, 12.0231689748723f, 11.9586881174297f,
    11.8906434508319f, 11.8264759328308f, 11.7652619217413f, 11.7033346037227f,
    11.6379964417238f, 11.5862703081324f, 11.5299758955061f, 11.4741541469989f,
    11.4224679633351f, 11.4302928484179f, 11.3885962828649f, 11.3488611750486f,
    11.3151942251170f, 11.2687417305887f, 11.2651043092380f, 11.2873091969354f,
    11.1115917717737f, 11.1187139401529f, 11.0873969606168f, 11.0667794924678f,
    11.0355838523984f, 11.0107298415034f, 10.9796516432030f, 10.9630980289917f,
    10.9420391333514f, 10.9144740761416f, 10.8934689087169f, 10.8708578658852f,
    10.8533772904939f, 10.8325917807584f, 10.8084481007036f, 10.7910279996611f,
    10.7720483888874f, 10.7547079194992f, 10.7374196414357f, 10.7165315149605f,
    10.6992241376899f, 10.6906704210781f, 10.6696884648005f, 10.6557033369952f,
    10.6417418339839f, 10.6206945653294f, 10.6123225679390f, 10.5984100558311f,
    10.5804524022014f, 10.5664834165837f, 10.5556799009337f, 10.5448786038089f,
    10.5294926904862f, 10.5186888881000f, 10.5078877209760f, 10.4896735339343f,
    10.4818821922801f, 10.4710009885916f, 10.4601237996041f, 10.4509410528977f,
    10.4400494357799f, 10.4322036844072f, 10.4213123997993f, 10.4058408037523f,
    10.3978977400326f, 10.3899444363220f, 10.3853855448482f, 10.3697415198647f,
    10.3617555934757f, 10.3567416154720f, 10.3487308415134f, 10.3329739194789f,
    10.3248849674214f, 10.3167888305905f, 10.3116328550137f, 10.2935369581880f,
    10.2854263705648f, 10.2802322447455f, 10.2721029640593f, 10.2668785541679f,
    10.2421605382004f, 10.2455580945816f, 10.2402346533852f, 10.2417289351959f,
    10.2364188981879f, 10.2144782407169f, 10.2091021586862f, 10.2037115797613f,
    10.1983068112122f, 10.1849493802464f, 10.1794698792260f, 10.1739775209827f,
    10.1684725944209f, 10.1699972796703f, 10.1673363396048f, 10.1537525491825f,
    10.1481899931936f, 10.1454318458448f, 10.1398423821346f, 10.1370496372401f,
    10.1314343707374f, 10.1205181210259f, 10.1148376525328f, 10.1119389454472f,
    10.1062355079601f, 10.1105790660401f, 10.1076676719351f, 10.1019633798750f,
    10.0907918971796f, 10.0877973262721f, 10.0820222224882f, 10.0790001296191f,
    10.0759630305115f, 10.0729111643779f, 10.0698447671938f, 10.0585205719156f,
    10.0553915426054f, 10.0495078552707f, 10.0463551070209f, 10.0452327409897f,
    10.0420899577109f, 10.0416595363245f, 10.0301423062663f, 10.0269263405620f,
    10.0236983112226f, 10.0204584174658f, 10.0172068557167f, 10.0139438196431f,
    10.0106695001895f, 10.0100859757974f, 10.0144981569414f, 10.0027240655604f,
    9.99940079964503f, 9.99875825234152f, 9.99541139468150f, 9.99205454764473f,
    9.98868788138219f, 9.98799186037639f, 9.98460299286733f, 9.98120480749684f,
    9.97196520049622f, 9.96851944732945f, 9.96773313504258f, 9.97209005664967f,
    9.97130280431796f, 9.96784064615800f, 9.96702924221558f, 9.96354778825994f,
    9.96271284320390f, 9.95921268399594f, 9.94972407107315f, 9.94618172696550f,
    9.94527759238012f, 9.93907565972122f, 9.93815157408174f, 9.93457833610339f,
    9.94163812518103f, 9.93806970926284f, 9.93712514990341f, 9.93616969007899f,
    9.92384118906784f, 9.92284379437166f, 9.92183604073516f, 9.91819656036143f,
    9.91716993715598f, 9.91613331652545f, 9.91508681621950f, 9.91141646117235f,
    9.91035202464596f, 9.90927805124168f, 9.90819465265145f, 9.90449521562619f,
    9.89464259105904f, 9.90163545023412f, 9.90051546012025f, 9.89938659067352f,
    9.89565102186460f, 9.89450616426505f, 9.89335273158198f, 9.89219082303091f,
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    7.40935896185510f, 7.40937511193310f, 7.40812173667013f, 7.40813786135211f,
    7.40815397335853f, 7.40817007270433f, 7.40691714638039f, 7.40693322044968f,
    7.40568076819554f, 7.40569681704778f, 7.40571285331374f, 7.40572887700822f,
    7.40574488814600f};

// Set of scalers, one per reverberation time, by which the
// |kHighCorrectionCurve| and |kLowCorrectionCurve| curves are multiplied in
// order to generate the correct onset compensation curves.
static const float kCurveCorrectionMultipliers[kNumFeedbackValues] = {
    0.000249027612622225f, 0.0475827382701585f, 0.0982856973675534f,
    0.144077780284872f,    0.187710331328442f,  0.229214552437128f,
    0.268761703298196f,    0.306384317687497f,  0.342116205684862f,
    0.376122154314109f,    0.408019265118341f,  0.438826303187204f,
    0.468213758592444f,    0.496269855121223f,  0.523103160344453f,
    0.548734562484123f,    0.573191744554386f,  0.596776538466997f,
    0.619556090502133f,    0.646894092669191f,  0.661870435136273f,
    0.675494733319630f,    0.701821797958321f,  0.713358543560036f,
    0.731743894313465f,    0.749694785147017f,  0.758967096040535f,
    0.775801399270244f,    0.792218438223182f,  0.808206900102085f,
    0.815142557606016f,    0.830420164791760f,  0.845380788487056f,
    0.859865023229817f,    0.865296767216337f,  0.879331838452952f,
    0.893145291831122f,    0.897272345317607f,  0.910373690471610f,
    0.923470208927849f,    0.936268613920194f,  0.940724814169454f,
    0.943721434222406f,    0.956465808252697f,  0.959628673835810f,
    0.971718784707243f,    0.974554123797995f,  0.977943937294408f,
    0.997154666216203f,    0.999999999999996f,  0.00847079214371323f,
    0.0104396896429595f,   0.0383165227008017f, 0.0405943838116957f,
    0.0685361482242258f,   0.0701917817593536f, 0.0713216738657547f,
    0.0986119509733789f,   0.0995868953874107f, 0.127034424762083f,
    0.127777689282131f,    0.128246886910136f,  0.155790763336654f,
    0.156203946276228f,    0.183007628720406f,  0.182664049029335f,
    0.182636700276451f,    0.209980982953741f,  0.209930104556972f,
    0.209208261790760f,    0.236016550641923f,  0.235475840865507f,
    0.234825009787230f,    0.262017587951252f,  0.260795540834379f,
    0.259744215394585f,    0.286998748503651f,  0.286344090244485f,
    0.285483640041615f,    0.284539872612409f,  0.311891500333310f,
    0.310660815240075f,    0.309428379806926f,  0.336752370009492f,
    0.335612040225831f,    0.334119868753728f,  0.332881268861172f,
    0.360256878080152f,    0.358861080534800f,  0.357458025447185f,
    0.356097715473274f,    0.383869923377680f,  0.382590514632971f,
    0.381266229326427f,    0.379680871429225f,  0.407164010760711f,
    0.405597486292448f,    0.404000115485411f,  0.402266215035868f,
    0.429891973669762f,    0.428453570844335f,  0.426999237668900f,
    0.425435248817597f,    0.450978617489268f,  0.449350785137532f,
    0.447825393407652f,    0.446242285152424f,  0.444699143006987f,
    0.471928084570479f,    0.471460865818911f,  0.469975899073161f,
    0.468110718285786f,    0.466267910972978f,  0.492953377248067f,
    0.491503646910692f,    0.490004860015654f,  0.488499316392171f,
    0.516893492513121f,    0.515545795838069f,  0.514220820105042f,
    0.512893659480599f,    0.511085398658644f,  0.509264930798830f,
    0.537621048957386f,    0.536165057418577f,  0.534661930692635f,
    0.533210489850429f,    0.531756722686728f,  0.530384047322116f,
    0.559038131029643f,    0.557822105594252f,  0.556569707547800f,
    0.555271214486959f,    0.553432792863170f,  0.551315743703168f,
    0.549392825464220f,    0.577982280854402f,  0.576562976619477f,
    0.575372635620591f,    0.574072847452013f,  0.572872688648164f,
    0.571573384448578f,    0.570329067593286f,  0.599518572118246f,
    0.598348121604011f,    0.597160846836955f,  0.595942913014291f,
    0.592262360278945f,    0.590949984551833f,  0.589596537782439f,
    0.618986568059361f,    0.617798845452536f,  0.616549708449253f,
    0.615384701753942f,    0.614192476100642f,  0.612892560298438f,
    0.611692826552139f,    0.610490163023757f,  0.609174362863638f,
    0.638463194928117f,    0.637028017578980f,  0.635559187798163f,
    0.633766413298784f,    0.632208978019593f,  0.630423678935153f,
    0.629100361498165f,    0.627683147303628f,  0.626307825147069f,
    0.656136973617732f,    0.655009501850360f,  0.653877493459184f,
    0.652665127999537f,    0.651558827307289f,  0.650386889118506f,
    0.649111048361781f,    0.648028207288007f,  0.646759703278198f,
    0.645519124438692f,    0.675436924850795f,  0.674280803735362f,
    0.673132340969860f,    0.671373346843144f,  0.670134946644868f,
    0.668731343028307f,    0.667428990512785f,  0.666412032897529f,
    0.665280139756495f,    0.664193037044164f,  0.694188573172643f,
    0.693133764391982f,    0.692048704636038f,  0.690982103678122f,
    0.689946461409433f,    0.688925040506954f,  0.687918657972205f,
    0.686814035317773f,    0.685752672736224f,  0.684629857976692f,
    0.683538212068733f,    0.682502742914018f,  0.712650390189218f,
    0.711488074001633f,    0.710454507990280f,  0.709369576447197f,
    0.708293103236850f,    0.707161341261432f,  0.706142174509451f,
    0.705109933856033f,    0.703938122923563f,  0.702882741466471f,
    0.701795805729764f,    0.700970588654440f,  0.699907893809526f,
    0.698848748944422f,    0.729459722297675f,  0.728559828909388f,
    0.727267491809098f,    0.726368916168934f,  0.725549425012621f,
    0.724701162719866f,    0.723729724234480f,  0.722805513390802f,
    0.721877511846754f,    0.720923464905931f,  0.720063488137338f,
    0.719192489800377f,    0.718234018896418f,  0.748886813504199f,
    0.748055970602122f,    0.747192096825651f,  0.746255128515039f,
    0.745432542499951f,    0.744527975028176f,  0.743657128539979f,
    0.742815568594195f,    0.742016966380996f,  0.741081662145480f,
    0.740212516669136f,    0.738752388065193f,  0.737838959848034f,
    0.737079784380805f,    0.736207833150401f,  0.735328920674480f,
    0.766147300368082f,    0.765383964612946f,  0.764598877501888f,
    0.763830319512426f,    0.763071341941492f,  0.762261754967287f,
    0.761421505873705f,    0.760683170206014f,  0.759876633831137f,
    0.759111799483625f,    0.758326333824362f,  0.757541464414185f,
    0.756805357349899f,    0.755956399690542f,  0.755084876598806f,
    0.754190942656102f,    0.753440741268157f,  0.752571082952576f,
    0.751825304285737f,    0.782969421663051f,  0.782195656629464f,
    0.781491207489953f,    0.780796925868243f,  0.780038270784649f,
    0.779327959705502f,    0.778571499532576f,  0.777927257784694f,
    0.777170483964829f,    0.776461606951210f,  0.775702452890459f,
    0.774964094372046f,    0.774261007484278f,  0.773530800147826f,
    0.772829253854413f,    0.772012428008542f,  0.771256939594450f,
    0.770263007078531f,    0.769608778166788f,  0.768868370726016f,
    0.800132675567284f,    0.799414457498671f,  0.798801140955651f,
    0.798201875508813f,    0.797562927111111f,  0.796973690523352f,
    0.796325305652599f,    0.795751914017312f,  0.795062104562951f,
    0.794392825660217f,    0.793833580415710f,  0.793228467372150f,
    0.792632556794021f,    0.791987407625815f,  0.791349198936522f,
    0.790758300136560f,    0.790155406100658f,  0.789502309522568f,
    0.788850663559873f,    0.788244230667833f,  0.787690453856242f,
    0.787119319515071f,    0.786556345654314f,  0.785871663518153f,
    0.817012925306181f,    0.816430511458010f,  0.815893193830343f,
    0.815310874396162f,    0.814695628192059f,  0.814349340761576f,
    0.813807195954924f,    0.812960708290203f,  0.812353982324263f,
    0.811760341393159f,    0.811129283770446f,  0.810570029805507f,
    0.810041997821215f,    0.809539025954020f,  0.808890057582255f,
    0.808376532093617f,    0.807788126711313f,  0.807229044495192f,
    0.806691599106826f,    0.806133405950557f,  0.805529337345578f,
    0.804943724604441f,    0.804359069634119f,  0.803604313367394f,
    0.803039009317611f,    0.802427016830483f,  0.801897188869670f,
    0.833460875990872f,    0.832877329385786f,  0.832411116216460f,
    0.831855344205032f,    0.831306648690096f,  0.830826737217004f,
    0.830306337776770f,    0.829837395963940f,  0.829322442611281f,
    0.828828529233458f,    0.828227895618978f,  0.827688095121686f,
    0.827224825179024f,    0.826744576227558f,  0.826190089131040f,
    0.825644348776801f,    0.825111095394709f,  0.824576204498035f,
    0.824095489895994f,    0.823551761115446f,  0.823018027544573f,
    0.822476448619841f,    0.821809962673621f,  0.821291765423256f,
    0.820650961031543f,    0.819911412926238f,  0.819376250438516f,
    0.818827507074517f,    0.818298634930539f,  0.817837741058990f,
    0.817377454006327f,    0.849050771870725f,  0.848598343034601f,
    0.848137761126842f,    0.847720880735919f,  0.847272612414349f,
    0.846839043139818f,    0.846310781171764f,  0.845917411128721f,
    0.845432276174650f,    0.845016330807497f,  0.844560412891491f,
    0.844113268000604f,    0.843717326097535f,  0.843254715180455f,
    0.842771923047896f,    0.842317456952523f,  0.841894102789524f,
    0.841478900234186f,    0.841073526044248f,  0.840678089199553f,
    0.840282881990563f,    0.839851728795932f,  0.839437044180938f,
    0.839032992924171f,    0.838674041436160f,  0.838208899506653f,
    0.837815592964711f,    0.837413586062667f,  0.836945051441415f,
    0.836579931119682f,    0.836103168868015f,  0.835691507888582f,
    0.835190824315056f,    0.834796921260984f,  0.834397547217396f,
    0.833770693471246f,    0.833382919978899f,  0.865249714600488f,
    0.864778611194893f,    0.864359035626832f,  0.863974109667504f,
    0.863599275330096f,    0.863175308582704f,  0.862750738409356f,
    0.862410936451282f,    0.862060660613492f,  0.861703069468698f,
    0.861338903148747f,    0.860962071126888f,  0.860613235617068f,
    0.860255115049830f,    0.859941728589139f,  0.859556867553160f,
    0.859129368056343f,    0.858719511777174f,  0.858375007251166f,
    0.857991574276656f,    0.857077372527853f,  0.856709203488606f,
    0.856338576783691f,    0.855985971077822f,  0.855629124525839f,
    0.855290191537388f,    0.854966165735379f,  0.854612291162095f,
    0.854327456524765f,    0.854015841793238f,  0.853649356402945f,
    0.853317984411307f,    0.852952982901721f,  0.852579010983093f,
    0.852262745823692f,    0.851907995774951f,  0.851574167335807f,
    0.851264191083115f,    0.850902019876735f,  0.850580011598579f,
    0.850225307767087f,    0.849838013922043f,  0.881877389068535f,
    0.881425634756149f,    0.881222935599140f,  0.880862887645329f,
    0.880558209099982f,    0.880114949740768f,  0.879806159434422f,
    0.879538932468558f,    0.879173454249472f,  0.878803642529878f,
    0.878488774313953f,    0.878152689099870f,  0.877787934867571f,
    0.877472544637065f,    0.877200689447213f,  0.876929820734263f,
    0.876616544942982f,    0.876339352367848f,  0.876037900545338f,
    0.875737826612020f,    0.875450927592556f,  0.875146075620635f,
    0.874847876858510f,    0.874531696275083f,  0.874232625014850f,
    0.873956654705092f,    0.873657406655665f,  0.873376193316924f,
    0.873085430435485f,    0.872758743496618f,  0.872421095892080f,
    0.872098708018361f,    0.871788288227254f,  0.871530138982730f,
    0.871236056832414f,    0.870910572694844f,  0.870635091498100f,
    0.870312602324108f,    0.870054759273025f,  0.869714810151487f,
    0.869366798437594f,    0.869122644903574f,  0.868812734247120f,
    0.868513864159224f,    0.868223756623966f,  0.867982715181480f,
    0.867671997828998f,    0.867407549259445f,  0.867121915940559f,
    0.866777786882641f,    0.866494871692684f,  0.866169558022502f,
    0.865824390903947f,    0.865583948922912f,  0.865260577587179f,
    0.897442560230671f,    0.897197975041446f,  0.896936601622887f,
    0.896639930442358f,    0.896358496055820f,  0.896149517619677f,
    0.895865666553406f,    0.895617470802557f,  0.895302338320577f,
    0.895008903956437f,    0.894766131546458f,  0.894431674742994f,
    0.894121880084823f,    0.893833250070113f,  0.893486559142867f,
    0.893208534201067f,    0.892971102121326f,  0.892730883606376f,
    0.892486495783999f,    0.892266606766457f,  0.891912616713162f,
    0.891668012816153f,    0.891389344583694f,  0.891127210236977f,
    0.890877014364885f,    0.890647919776319f,  0.890418186238544f,
    0.890123493822626f,    0.889882930209191f,  0.889638857058379f,
    0.889365113843686f,    0.889063011963076f,  0.888904806210479f,
    0.888595224427484f,    0.888348740136566f,  0.888084256999739f,
    0.887840636004391f,    0.887568183405399f,  0.887244627634201f,
    0.886968902204163f,    0.886813404979471f,  0.886525300589349f,
    0.886292070226496f,    0.886001016727455f,  0.885775223543453f,
    0.885522319161176f,    0.885169241885031f,  0.884891814369998f,
    0.884613124661923f,    0.884274453041876f,  0.884000697538040f,
    0.883779270240537f,    0.883552044352765f,  0.883321450052730f,
    0.883113458915741f,    0.882876096712848f,  0.882646681017793f,
    0.882443778020906f,    0.882173341068617f,  0.881932486077329f,
    0.881703097548580f,    0.881512430676287f,  0.881324988614956f,
    0.881078415830145f,    0.880836019375906f,  0.880592380876914f,
    0.880399045447751f,    0.880144055756519f,  0.879916264512867f,
    0.912262761203549f,    0.912050025877916f,  0.911837032776423f,
    0.911637002893336f,    0.911410664361064f,  0.911128179710946f,
    0.910915857381980f,    0.910713468187444f,  0.910514321228273f,
    0.910306658353875f,    0.910045217950504f,  0.909852480850540f,
    0.909661981811356f,    0.909400554409887f,  0.909267222071404f,
    0.909082328173087f,    0.908854885017709f,  0.908645654905872f,
    0.908429066044714f,    0.908203229057788f,  0.907975524348559f,
    0.907844076324775f,    0.907589558754535f,  0.907386017765108f,
    0.907146503676051f,    0.906950671939951f,  0.906734850193100f,
    0.906517924929938f,    0.906308309667034f,  0.906112492983346f,
    0.905983410335819f,    0.905742671195132f,  0.905504049165944f,
    0.905260974598286f,    0.905102165719060f,  0.904889117286156f,
    0.904704031490403f,    0.904530549352657f,  0.904335967396413f,
    0.904167284044056f,    0.903943525425265f,  0.903781177741016f,
    0.903561239085713f,    0.903395399945175f,  0.903235371390208f,
    0.903016653613898f,    0.902845104975041f,  0.902610542350492f,
    0.902398193708679f,    0.902225960341570f,  0.902021465390646f,
    0.901838424668229f,    0.901655758835068f,  0.901444820937381f,
    0.901245949833824f,    0.901069151471710f,  0.900915074109771f,
    0.900760359450201f,    0.900578847724700f,  0.900395965994494f,
    0.900228168805928f,    0.900066616036273f,  0.899902868316372f,
    0.899691672138911f,    0.899502275011599f,  0.899326630297481f,
    0.899147517398502f,    0.898891311929557f,  0.898737589588815f,
    0.898516468975794f,    0.898279435824810f,  0.898133379766176f,
    0.897940625694500f,    0.897769012071762f,  0.897584094034260f,
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    0.976467844882108f,    0.976446124920447f,  0.976403186250199f,
    0.976388350299752f,    0.976349887902191f,  0.976319445660324f,
    0.976304414770861f,    0.976289632025076f,  0.976264145624284f,
    0.976240532650802f,    0.976209273788994f,  0.976194311547957f,
    0.976179595220112f,    0.976161231562614f,  0.976146541915870f,
    0.976123701179350f,    0.976105154089893f,  0.976082960591513f,
    0.976042090614826f,    0.976026251263904f,  0.976007993676071f,
    0.975989338013885f,    0.975962781592164f,  0.975944570379698f,
    0.975930011937128f,    0.975907027483125f,  0.975888636596245f,
    0.975874117446146f,    0.975858399012390f,  0.975814767533837f,
    0.975770098214803f,    0.975755629917150f,  0.975740950932038f,
    0.975700126458313f,    0.975679056973671f,  0.975664640074239f,
    0.975650236167557f,    0.975580150537865f,  0.975564561643136f,
    0.975550195260922f,    0.975511963306388f,  0.975491182846468f,
    0.975476854410694f,    0.975458937949595f,  0.975441037900350f,
    0.975403340889900f,    0.975378834602348f,  0.975354759608012f,
    0.975337489516777f,    0.975321825596625f,  0.975307598487264f,
    0.975283675623818f,    0.975269473727394f,  0.975250515677110f,
    0.975222503407069f,    0.975208339209176f,  0.975185839227530f,
    0.975164426313621f,    0.975150299633837f,  0.975132834025883f,
    0.975114957906684f,    0.975095028384530f,  0.975080951799970f,
    0.975066887752846f,    0.975041741905158f,  0.975027702605693f,
    0.975005031349011f,    0.974987469475237f,  0.974973467389524f,
    0.974937686203278f,    0.974920168212932f,  0.974902828972747f,
    0.974872881920399f,    0.974855407841305f,  0.974841479047993f,
    0.974824552649550f,    0.974807122649889f,  0.974793024340947f,
    0.974779144750431f,    0.974761758864481f,  0.974743009828295f,
    0.974702179104436f,    0.974688347653034f,  0.974654844155268f,
    0.974629896769268f,    0.974609196289333f,  0.974595412768757f,
    0.974578144647479f,    0.974554761535420f,  0.974512105515984f,
    0.974493684651349f,    0.974479960679643f,  0.974445019848412f,
    0.974420342456999f,    0.974406653869030f,  0.974389302704651f,
    0.974375638158094f,    0.974356380485032f,  0.974342739773739f,
    0.974329111024600f,    0.974308667973371f,  0.974295062936910f,
    0.974277268860387f,    0.974257232359766f,  0.974243662862119f,
    0.974226418880396f,    0.974209427476104f,  0.974160143649720f,
    0.974135024493451f,    0.974121512976261f,  0.974108013252395f,
    0.974080630570305f,    0.974065964331530f,  0.974015781527702f,
    0.974002134457994f,    0.973968181110526f,  0.973941430008605f,
    0.973900624962740f,    0.973887216439222f,  0.973870418549401f,
    0.973850724231017f,    0.973837350500092f,  0.973820594740841f,
    0.973798522327485f,    0.973777807158058f,  0.973762348240277f,
    0.973720684603163f,    0.973707190440952f,  0.973690525402443f,
    0.973642098553068f,    0.973616296682685f,  0.973596682908872f,
    0.973574106353138f,    0.973560681801021f,  0.973542922676264f,
    0.973514709802091f,    0.973501505700315f,  0.973484979448508f,
    0.973471798042410f,    0.973456500215393f,  0.973431510917770f,
    0.973406975669394f,    0.973387629418889f,  0.973367520795037f,
    0.973303609216807f,    0.973284719314881f,  0.973267149528169f,
    0.973250597568072f,    0.973237526949800f,  0.973221187129731f,
    0.973199716550181f,    0.973183406462760f,  0.973164990751466f,
    0.973148718186700f,    0.973132284540874f,  0.973116049604857f,
    0.973096165761680f,    0.973079968266462f,  0.973062611300583f,
    0.973011998962548f,    0.972975003152676f,  0.972962075047062f,
    0.972945970132927f,    0.972923360946523f,  0.972900115256482f,
    0.972870276402172f,    0.972833571656061f,  0.972811347406848f,
    0.972777650857546f,    0.972760603364386f,  0.972744749946391f,
    0.972728915316704f,    0.972491425539914f,  0.972700300574877f,
    0.972657493357715f,    0.972632608746347f,  0.972616859264461f,
    0.972598619191692f,    0.972345186679530f,  0.972332446611726f,
    0.972312645617935f,    0.972296953045242f,  0.972283079206423f,
    0.972354259937865f,    0.972459209202242f,  0.972446537807611f,
    0.972430934483078f,    0.972176086196692f,  0.972163441757064f,
    0.972150807994720f,    0.972135323233078f,  0.972332090264623f,
    0.972296656512621f,    0.972281150355395f,  0.972261199146408f,
    0.972040937679384f,    0.972020853805726f,  0.971986352971951f,
    0.971970171296574f,    0.971957642162397f,  0.971945123560269f,
    0.971925366207946f,    0.971903023702926f,  0.971890536316386f,
    0.971869250638017f,    0.971845667162464f,  0.971833210739844f,
    0.971804277862056f,    0.971791841948099f,  0.971779416449271f,
    0.971764022143080f,    0.971747980164594f,  0.971735585761423f,
    0.971717421387968f,    0.971705047573062f,  0.971692684095817f,
    0.971677569616385f,    0.971654562083561f,  0.971639423267713f,
    0.971627100732641f,    0.971586709457336f,  0.971574406851170f,
    0.971562114493840f,    0.971547034241681f,  0.971528565510735f,
    0.971512518293816f,    0.971500266599958f,  0.971464929056654f,
    0.971452697226202f,    0.971418394914989f,  0.971406182921065f,
    0.971393981063291f,    0.971376907284318f,  0.971343341781312f,
    0.971331169765085f,    0.971319007835423f,  0.971298578641970f,
    0.971283662437030f,    0.971271530457587f,  0.971252454892243f,
    0.971240342827092f,    0.971225487479047f,  0.971204546317460f,
    0.971192464074439f,    0.971180391807126f,  0.971165370878734f,
    0.971153318463628f,    0.971140124638148f,  0.971123237224655f,
    0.971106480118568f,    0.971083157368327f,  0.971071154129043f,
    0.971034062159235f,    0.971018455159871f,  0.971006480918128f,
    0.970994516519120f,    0.970977092320320f,  0.970965003529432f,
    0.970950326173765f,    0.970937252551404f,  0.970925337052152f,
    0.970913431323699f,    0.970898580575337f,  0.970880595387861f,
    0.970865984305819f,    0.970854117296896f,  0.970827109552462f,
    0.970787121116513f,    0.970771664135147f,  0.970734868566354f,
    0.970720322134539f,    0.970708511741481f,  0.970696710990446f,
    0.970670091597675f,    0.970638391535586f,  0.970594506910305f,
    0.970571972858635f,    0.970560218611173f,  0.970545523090248f,
    0.970524813815583f,    0.970506896143813f,  0.970470838904634f,
    0.970456283769786f,    0.970444585924069f,  0.970432897582902f,
    0.970421218734771f,    0.970408406937207f,  0.970396747017460f,
    0.970385096556351f,    0.970370753011372f,  0.970353198100957f,
    0.970341440710966f,    0.970329827852595f,  0.970315487202049f,
    0.970303893080486f,    0.970269092080499f,  0.970251821409422f,
    0.970240254808422f,    0.970228697553167f,  0.970204163935976f,
    0.970191352781056f,    0.970179823267678f,  0.970165616505559f,
    0.970154105529172f,    0.970125646226645f,  0.970114153457064f,
    0.970102669944216f,    0.970087197011956f,  0.970075731899408f,
    0.970061466817810f,    0.970050020142580f,  0.970019988110384f,
    0.969972599795979f,    0.969961179607361f,  0.969948632115153f,
    0.969908746684612f,    0.969894682809931f,  0.969883170119172f,
    0.969871795082014f,    0.969860429159958f,  0.969846343221063f,
    0.969834995442697f,    0.969823656746862f,  0.969812327122728f,
    0.969798343939773f,    0.969787032374211f,  0.969772004681985f,
    0.969760711166196f,    0.969749426668237f,  0.969688426500697f,
    0.969677159032194f,    0.969663245949753f,  0.969651996391660f,
    0.969625257076576f,    0.969605977523474f,  0.969594754369765f,
    0.969583416110931f,    0.969572210865374f,  0.969561014532258f,
    0.969547180480629f,    0.969513246925795f,  0.969502076773797f,
    0.969485003257335f,    0.969472720232916f,  0.969461576525169f,
    0.969450319795174f,    0.969439193805961f,  0.969420426798349f,
    0.969406597238909f,    0.969395497473808f,  0.969376382415080f,
    0.969365300059954f,    0.969354226471582f,  0.969343161639623f,
    0.969325363726951f,    0.969314316299151f,  0.969299688455677f,
    0.969287530932357f,    0.969276509560222f,  0.969265496882931f,
    0.969254492890265f,    0.969243497572002f,  0.969229888366585f,
    0.969216720237517f,    0.969205750840223f,  0.969191858846575f,
    0.969172668560500f,    0.969153335935209f,  0.969142400641392f,
    0.969126015512418f,    0.969115097292469f,  0.969077096987749f,
    0.969066195393082f,    0.969054177875027f,  0.969035207922252f,
    0.969016820085756f,    0.969005952381187f,  0.968992380215632f,
    0.968981529478561f,    0.968968080712556f,  0.968955177833115f,
    0.968944352461800f,    0.968926930585352f,  0.968913081597044f,
    0.968902281458119f,    0.968891489754488f,  0.968877127176801f,
    0.968865230815253f,    0.968851865757681f,  0.968841107561196f,
    0.968827062840517f,    0.968816321345894f,  0.968790935192768f,
    0.968768188742240f,    0.968757471871783f,  0.968732819132344f,
    0.968722118670559f,    0.968708836038462f,  0.968698152157404f,
    0.968657086013096f,    0.968646418161465f,  0.968624158304073f,
    0.968613506791441f,    0.968596572545570f,  0.968579061738822f,
    0.968561014979841f,    0.968550396126364f,  0.968537202998056f,
    0.968526600536290f,    0.968516006279852f,  0.968505420219268f,
    0.968494842345072f,    0.968484165957274f,  0.968448598566619f,
    0.968438044781854f,    0.968427499146142f,  0.968390635470169f,
    0.968375420846665f,    0.968364899038218f,  0.968354385341824f,
    0.968332577679763f,    0.968322079974605f,  0.968311590353718f,
    0.968301004306507f,    0.968290530868138f,  1.00143961392577f,
    1.00142968724369f,     1.00141976816660f,   1.00140446209241f,
    1.00137317954622f,     1.00136328275028f,   1.00135014137470f,
    1.00133902200513f,     1.00131146903538f,   1.00130160207297f,
    1.00128450674836f,     1.00127465472096f,   1.00126481021308f,
    1.00125497321619f,     1.00124225940996f,   1.00122500973736f,
    1.00121519503829f,     1.00120538781624f,   1.00119545326034f,
    1.00118313784023f,     1.00117335295109f,   1.00116357550511f,
    1.00115380549385f,     1.00113942387171f,   1.00112966862280f,
    1.00109314412405f,     1.00107946844994f,   1.00106973486180f,
    1.00105418133174f,     1.00104229664803f,   1.00103006985615f,
    1.00102036557219f,     1.00100778834931f,   1.00096616031686f,
    1.00095647745121f,     1.00092507998694f,   1.00091541138654f,
    1.00090575009718f,     1.00089487173027f,   1.00087920118928f,
    1.00086956165688f,     1.00084041349058f,   1.00082467685478f,
    1.00080693845908f,     1.00079732740243f,   1.00078092556175f,
    1.00074906862448f,     1.00073947877630f,   1.00072989615011f,
    1.00072019315343f,     1.00066830628723f,   1.00065874454301f,
    1.00064918998899f,     1.00063246831712f,   1.00061832499982f,
    1.00060879176472f,     1.00059926568779f,   1.00058974676105f,
    1.00058023497646f,     1.00055457310189f,   1.00054507529979f,
    1.00049419893387f,     1.00048471465008f,   1.00044437316419f,
    1.00043490254958f,     1.00042341268056f,   1.00039435986397f,
    1.00038491011887f,     1.00037546743804f,   1.00036303684998f,
    1.00034636152703f,     1.00033693981721f,   1.00032504191268f,
    1.00031563421870f,     1.00030623354207f,   1.00029683987498f,
    1.00028352575811f,     1.00026603619147f,   1.00025666330226f,
    1.00024729739164f,     1.00023128713687f,   1.00022193504773f,
    1.00020066879491f,     1.00019133040773f,   1.00017618304649f,
    1.00016577323552f,     1.00015645552966f,   1.00013420200033f,
    1.00009861649226f,     1.00008931885617f,   1.00008002811490f,
    1.00007062639745f,     1.00005669782209f,   1.00004496048148f,
    1.00003569712223f,     1.00002644061987f,   1.00000924294396f,
    0.999999999999995f};

// Curve which is scaled by |kCurveCorrectionMultipliers| and added to the curve
// generated by the |kHighReverberationCorrectionCurve| polynomial, for
// reverberation times which result in a feedback factor index greater than
// |kCurveChangeoverIndex|.
static const float kHighCorrectionCurve[kCorrectionCurveLength] = {
    0.00905424704513036f,  0.00926599025691877f,  0.00947778313262726f,
    0.00968962562016418f,  0.00990151766744984f,  0.0101134592224174f,
    0.0103254502330116f,   0.0105374906471899f,   0.0107495804129221f,
    0.0109617194781898f,   0.0111739077909878f,   0.0113861452993219f,
    0.0115984319512115f,   0.0118107676946871f,   0.0120231524777923f,
    0.0122355862485828f,   0.0124480689551263f,   0.0126606005455030f,
    0.0128731809678055f,   0.0130858101701389f,   0.0132984881006193f,
    0.0135112147073766f,   0.0137239899385524f,   0.0139368137423006f,
    0.0141496860667869f,   0.0143626068601902f,   0.0145755760707011f,
    0.0147885936465225f,   0.0150016595358697f,   0.0152147736869704f,
    0.0154279360480643f,   0.0156411465674036f,   0.0158544051932527f,
    0.0160677118738880f,   0.0162810665575990f,   0.0164944691926864f,
    0.0167079197274641f,   0.0169214181102577f,   0.0171349642894055f,
    0.0173485582132578f,   0.0175621998301772f,   0.0177758890885386f,
    0.0179896259367293f,   0.0182034103231487f,   0.0184172421962087f,
    0.0186311215043333f,   0.0188450481959587f,   0.0190590222195339f,
    0.0192730435235194f,   0.0194871120563886f,   0.0197012277666270f,
    0.0199153906027323f,   0.0201296005132146f,   0.0203438574465959f,
    0.0205581613514112f,   0.0207725121762073f,   0.0209869098695431f,
    0.0212013543799902f,   0.0214158456561324f,   0.0216303836465656f,
    0.0218449682998980f,   0.0220595995647505f,   0.0222742773897556f,
    0.0224890017235585f,   0.0227037725148169f,   0.0229185897122002f,
    0.0231334532643903f,   0.0233483631200817f,   0.0235633192279807f,
    0.0237783215368064f,   0.0239933699952896f,   0.0242084645521738f,
    0.0244236051562147f,   0.0246387917561803f,   0.0248540243008508f,
    0.0250693027390185f,   0.0252846270194886f,   0.0254999970910778f,
    0.0257154129026155f,   0.0259308744029435f,   0.0261463815409154f,
    0.0263619342653978f,   0.0265775325252690f,   0.0267931762694196f,
    0.0270088654467529f,   0.0272246000061842f,   0.0274403798966409f,
    0.0276562050670630f,   0.0278720754664027f,   0.0280879910436245f,
    0.0283039517477049f,   0.0285199575276330f,   0.0287360083324103f,
    0.0289521041110502f,   0.0291682448125785f,   0.0293844303860333f,
    0.0296006607804654f,   0.0298169359449371f,   0.0300332558285236f,
    0.0302496203803120f,   0.0304660295494019f,   0.0306824832849052f,
    0.0308989815359457f,   0.0311155242516602f,   0.0313321113811973f,
    0.0315487428737179f,   0.0317654186783949f,   0.0319821387444144f,
    0.0321989030209739f,   0.0324157114572834f,   0.0326325640025653f,
    0.0328494606060544f,   0.0330664012169974f,   0.0332833857846536f,
    0.0335004142582945f,   0.0337174865872039f,   0.0339346027206777f,
    0.0341517626080246f,   0.0343689661985646f,   0.0345862134416310f,
    0.0348035042865692f,   0.0350208386827363f,   0.0352382165795020f,
    0.0354556379262483f,   0.0356731026723698f,   0.0358906107672728f,
    0.0361081621603763f,   0.0363257568011115f,   0.0365433946389216f,
    0.0367610756232627f,   0.0369787997036024f,   0.0371965668294212f,
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    0.00343669308121961f,  0.00344715804627233f,  0.00345758314769543f,
    0.00346796840819122f,  0.00347831385047465f,  0.00348861949727269f,
    0.00349888537132503f,  0.00350911149538313f,  0.00351929789221103f,
    0.00352944458458487f,  0.00353955159529323f,  0.00354961894713696f,
    0.00355964666292907f,  0.00356963476549479f,  0.00357958327767202f,
    0.00358949222231061f,  0.00359936162227278f,  0.00360919150043287f,
    0.00361898187967777f,  0.00362873278290654f,  0.00363844423303059f,
    0.00364811625297337f,  0.00365774886567080f,  0.00366734209407113f,
    0.00367689596113485f,  0.00368641048983448f,  0.00369588570315532f,
    0.00370532162409457f,  0.00371471827566178f,  0.00372407568087890f,
    0.00373339386277999f,  0.00374267284441140f,  0.00375191264883207f,
    0.00376111329911286f,  0.00377027481833711f,  0.00377939722960025f,
    0.00378848055601022f,  0.00379752482068707f,  0.00380653004676323f,
    0.00381549625738342f,  0.00382442347570458f,  0.00383331172489607f,
    0.00384216102813920f,  0.00385097140862786f,  0.00385974288956820f,
    0.00386847549417849f,  0.00387716924568945f,  0.00388582416734407f,
    0.00389444028239744f,  0.00390301761411704f,  0.00391155618578290f,
    0.00392005602068687f,  0.00392851714213324f,  0.00393693957343871f};

// Curve which is scaled by |kCurveCorrectionMultipliers| and added to the curve
// generated by the |kLowReverberationCorrectionCurve| polynomial, for
// reverberation times which result in a feedback factor index less than
// |kCurveChangeoverIndex|.
static const float kLowCorrectionCurve[kCorrectionCurveLength] = {
    0.0355835132858260f,   0.0361471820669677f,   0.0367104001412021f,
    0.0372731677107544f,   0.0378354849778072f,   0.0383973521445001f,
    0.0389587694129315f,   0.0395197369851564f,   0.0400802550631881f,
    0.0406403238489973f,   0.0411999435445122f,   0.0417591143516188f,
    0.0423178364721608f,   0.0428761101079397f,   0.0434339354607135f,
    0.0439913127321995f,   0.0445482421240714f,   0.0451047238379613f,
    0.0456607580754581f,   0.0462163450381097f,   0.0467714849274197f,
    0.0473261779448504f,   0.0478804242918223f,   0.0484342241697123f,
    0.0489875777798562f,   0.0495404853235463f,   0.0500929470020328f,
    0.0506449630165243f,   0.0511965335681860f,   0.0517476588581411f,
    0.0522983390874708f,   0.0528485744572133f,   0.0533983651683647f,
    0.0539477114218787f,   0.0544966134186670f,   0.0550450713595981f,
    0.0555930854454990f,   0.0561406558771536f,   0.0566877828553037f,
    0.0572344665806487f,   0.0577807072538459f,   0.0583265050755101f,
    0.0588718602462131f,   0.0594167729664848f,   0.0599612434368130f,
    0.0605052718576424f,   0.0610488584293762f,   0.0615920033523746f,
    0.0621347068269552f,   0.0626769690533939f,   0.0632187902319240f,
    0.0637601705627360f,   0.0643011102459783f,   0.0648416094817569f,
    0.0653816684701354f,   0.0659212874111350f,   0.0664604665047346f,
    0.0669992059508706f,   0.0675375059494370f,   0.0680753667002852f,
    0.0686127884032250f,   0.0691497712580228f,   0.0696863154644029f,
    0.0702224212220476f,   0.0707580887305970f,   0.0712933181896472f,
    0.0718281097987538f,   0.0723624637574293f,   0.0728963802651431f,
    0.0734298595213236f,   0.0739629017253557f,   0.0744955070765820f,
    0.0750276757743035f,   0.0755594080177776f,   0.0760907040062205f,
    0.0766215639388050f,   0.0771519880146623f,   0.0776819764328806f,
    0.0782115293925059f,   0.0787406470925415f,   0.0792693297319489f,
    0.0797975775096472f,   0.0803253906245122f,   0.0808527692753781f,
    0.0813797136610364f,   0.0819062239802365f,   0.0824323004316849f,
    0.0829579432140462f,   0.0834831525259416f,   0.0840079285659512f,
    0.0845322715326120f,   0.0850561816244186f,   0.0855796590398233f,
    0.0861027039772357f,   0.0866253166350237f,   0.0871474972115118f,
    0.0876692459049832f,   0.0881905629136774f,   0.0887114484357927f,
    0.0892319026694841f,   0.0897519258128650f,   0.0902715180640052f,
    0.0907906796209331f,   0.0913094106816348f,   0.0918277114440527f,
    0.0923455821060883f,   0.0928630228655998f,   0.0933800339204031f,
    0.0938966154682718f,   0.0944127677069371f,   0.0949284908340879f,
    0.0954437850473701f,   0.0959586505443875f,   0.0964730875227018f,
    0.0969870961798317f,   0.0975006767132541f,   0.0980138293204033f,
    0.0985265541986706f,   0.0990388515454054f,   0.0995507215579148f,
    0.100062164433463f,    0.100573180369272f,    0.101083769562521f,
    0.101593932210348f,    0.102103668509848f,    0.102612978658072f,
    0.103121862852030f,    0.103630321288690f,    0.104138354164977f,
    0.104645961677773f,    0.105153144023918f,    0.105659901400211f,
    0.106166234003407f,    0.106672142030217f,    0.107177625677312f,
    0.107682685141321f,    0.108187320618829f,    0.108691532306379f,
    0.109195320400472f,    0.109698685097565f,    0.110201626594074f,
    0.110704145086373f,    0.111206240770793f,    0.111707913843621f,
    0.112209164501105f,    0.112709992939447f,    0.113210399354808f,
    0.113710383943307f,    0.114209946901020f,    0.114709088423982f,
    0.115207808708182f,    0.115706107949571f,    0.116203986344054f,
    0.116701444087495f,    0.117198481375716f,    0.117695098404497f,
    0.118191295369573f,    0.118687072466638f,    0.119182429891344f,
    0.119677367839301f,    0.120171886506076f,    0.120665986087191f,
    0.121159666778131f,    0.121652928774333f,    0.122145772271196f,
    0.122638197464072f,    0.123130204548276f,    0.123621793719075f,
    0.124112965171697f,    0.124603719101328f,    0.125094055703108f,
    0.125583975172139f,    0.126073477703476f,    0.126562563492136f,
    0.127051232733090f,    0.127539485621269f,    0.128027322351559f,
    0.128514743118806f,    0.129001748117814f,    0.129488337543340f,
    0.129974511590103f,    0.130460270452779f,    0.130945614326000f,
    0.131430543404356f,    0.131915057882395f,    0.132399157954622f,
    0.132882843815500f,    0.133366115659450f,    0.133848973680849f,
    0.134331418074033f,    0.134813449033295f,    0.130933338745307f,
    0.131414543419434f,    0.131895335242262f,    0.132375714407915f,
    0.132855681110473f,    0.133335235543976f,    0.133814377902417f,
    0.134293108379751f,    0.134771427169888f,    0.135249334466697f,
    0.135726830464003f,    0.136203915355590f,    0.136680589335197f,
    0.137156852596525f,    0.137632705333228f,    0.138108147738920f,
    0.138583180007172f,    0.139057802331512f,    0.139532014905426f,
    0.140005817922358f,    0.140479211575709f,    0.140952196058836f,
    0.141424771565058f,    0.141896938287645f,    0.142368696419831f,
    0.142840046154803f,    0.143310987685707f,    0.143781521205648f,
    0.144251646907686f,    0.144721364984839f,    0.145190675630085f,
    0.145659579036357f,    0.146128075396545f,    0.146596164903499f,
    0.147063847750025f,    0.147531124128886f,    0.147997994232804f,
    0.148464458254458f,    0.148930516386483f,    0.149396168821473f,
    0.149861415751981f,    0.150326257370514f,    0.150790693869538f,
    0.151254725441479f,    0.151718352278716f,    0.152181574573589f,
    0.152644392518394f,    0.153106806305386f,    0.153568816126774f,
    0.154030422174728f,    0.154491624641374f,    0.154952423718796f,
    0.155412819599036f,    0.155872812474093f,    0.156332402535922f,
    0.156791589976438f,    0.157250374987511f,    0.157708757760971f,
    0.158166738488604f,    0.158624317362153f,    0.159081494573321f,
    0.159538270313766f,    0.159994644775104f,    0.160450618148909f,
    0.160906190626713f,    0.161361362400004f,    0.161816133660228f,
    0.162270504598790f,    0.162724475407050f,    0.163178046276328f,
    0.163631217397900f,    0.164083988962999f,    0.164536361162817f,
    0.164988334188502f,    0.165439908231161f,    0.165891083481858f,
    0.166341860131613f,    0.166792238371406f,    0.167242218392172f,
    0.167691800384806f,    0.168140984540158f,    0.168589771049037f,
    0.169038160102209f,    0.169486151890398f,    0.165572018596708f,
    0.166019216426932f,    0.166466017564089f,    0.166912422198731f,
    0.167358430521371f,    0.167804042722478f,    0.168249258992475f,
    0.168694079521749f,    0.169138504500638f,    0.169582534119443f,
    0.170026168568418f,    0.170469408037777f,    0.170912252717692f,
    0.171354702798289f,    0.171796758469656f,    0.172238419921836f,
    0.172679687344829f,    0.173120560928594f,    0.173561040863046f,
    0.174001127338058f,    0.174440820543462f,    0.174880120669046f,
    0.175319027904554f,    0.175757542439691f,    0.176195664464117f,
    0.176633394167450f,    0.177070731739265f,    0.177507677369096f,
    0.177944231246432f,    0.178380393560723f,    0.178816164501372f,
    0.179251544257744f,    0.179686533019159f,    0.180121130974894f,
    0.180555338314184f,    0.180989155226223f,    0.181422581900160f,
    0.181855618525104f,    0.182288265290119f,    0.182720522384228f,
    0.183152389996411f,    0.183583868315606f,    0.184014957530707f,
    0.184445657830568f,    0.184875969403997f,    0.185305892439763f,
    0.185735427126589f,    0.186164573653160f,    0.186593332208113f,
    0.187021702980047f,    0.187449686157516f,    0.187877281929033f,
    0.188304490483066f,    0.188731312008043f,    0.189157746692349f,
    0.189583794724325f,    0.190009456292270f,    0.190434731584443f,
    0.190859620789056f,    0.191284124094282f,    0.191708241688250f,
    0.192131973759046f,    0.192555320494716f,    0.192978282083259f,
    0.193400858712636f,    0.193823050570763f,    0.194244857845513f,
    0.190304552717141f,    0.190725591388591f,    0.191146246040030f,
    0.191566516859164f,    0.191986404033653f,    0.192405907751115f,
    0.192825028199128f,    0.193243765565223f,    0.193662120036893f,
    0.194080091801586f,    0.194497681046707f,    0.194914887959619f,
    0.195331712727645f,    0.195748155538060f,    0.196164216578102f,
    0.196579896034964f,    0.196995194095795f,    0.197410110947704f,
    0.197824646777756f,    0.198238801772974f,    0.198652576120338f,
    0.199065970006786f,    0.199478983619212f,    0.199891617144471f,
    0.200303870769370f,    0.200715744680679f,    0.201127239065121f,
    0.201538354109379f,    0.201949090000093f,    0.202359446923861f,
    0.202769425067235f,    0.203179024616730f,    0.203588245758813f,
    0.203997088679912f,    0.204405553566412f,    0.204813640604653f,
    0.205221349980936f,    0.205628681881516f,    0.206035636492609f,
    0.206442214000385f,    0.206848414590972f,    0.207254238450459f,
    0.207659685764888f,    0.208064756720260f,    0.208469451502535f,
    0.208873770297627f,    0.209277713291411f,    0.209681280669718f,
    0.210084472618335f,    0.210487289323009f,    0.210889730969442f,
    0.211291797743296f,    0.211693489830188f,    0.212094807415693f,
    0.212495750685345f,    0.212896319824633f,    0.213296515019006f,
    0.213696336453868f,    0.214095784314582f,    0.214494858786468f,
    0.210531832047226f,    0.210930160297245f,    0.211328115714141f,
    0.211725698483062f,    0.212122908789116f,    0.212519746817367f,
    0.212916212752837f,    0.213312306780505f,    0.213708029085308f,
    0.214103379852140f,    0.214498359265853f,    0.214892967511255f,
    0.215287204773112f,    0.215681071236149f,    0.216074567085046f,
    0.216467692504443f,    0.216860447678934f,    0.217252832793074f,
    0.217644848031373f,    0.218036493578299f,    0.218427769618278f,
    0.218818676335693f,    0.219209213914884f,    0.219599382540149f,
    0.219989182395744f,    0.220378613665880f,    0.220767676534728f,
    0.221156371186415f,    0.221544697805026f,    0.221932656574604f,
    0.222320247679147f,    0.222707471302613f,    0.223094327628916f,
    0.223480816841929f,    0.223866939125480f,    0.224252694663356f,
    0.224638083639300f,    0.225023106237015f,    0.225407762640159f,
    0.225792053032349f,    0.226175977597157f,    0.226559536518116f,
    0.226942729978713f,    0.227325558162394f,    0.227708021252562f,
    0.228090119432578f,    0.228471852885760f,    0.228853221795383f,
    0.229234226344680f,    0.229614866716842f,    0.229995143095015f,
    0.230375055662304f,    0.230754604601773f,    0.231133790096440f,
    0.231512612329282f,    0.231891071483235f,    0.227907439733612f,
    0.228285173278418f,    0.228662544292882f,    0.229039552959768f,
    0.229416199461797f,    0.229792483981648f,    0.230168406701958f,
    0.230543967805320f,    0.230919167474285f,    0.231294005891360f,
    0.231668483239013f,    0.232042599699666f,    0.232416355455699f,
    0.232789750689451f,    0.233162785583216f,    0.233535460319247f,
    0.233907775079755f,    0.234279730046907f,    0.234651325402827f,
    0.235022561329597f,    0.235393438009258f,    0.235763955623805f,
    0.236134114355194f,    0.236503914385335f,    0.236873355896098f,
    0.237242439069310f,    0.237611164086754f,    0.237979531130171f,
    0.238347540381260f,    0.238715192021677f,    0.239082486233034f,
    0.239449423196903f,    0.239816003094811f,    0.240182226108245f,
    0.240548092418646f,    0.240913602207415f,    0.241278755655909f,
    0.241643552945443f,    0.242007994257290f,    0.242372079772679f,
    0.242735809672797f,    0.243099184138788f,    0.243462203351754f,
    0.243824867492754f,    0.244187176742804f,    0.244549131282879f,
    0.244910731293909f,    0.245271976956783f,    0.245632868452347f,
    0.245993405961404f,    0.246353589664714f,    0.246713419742997f,
    0.247072896376926f,    0.247432019747135f,    0.243429062026635f,
    0.243787479411131f,    0.244145544073548f,    0.244503256194350f,
    0.244860615953955f,    0.245217623532740f,    0.245574279111040f,
    0.245930582869146f,    0.246286534987307f,    0.246642135645729f,
    0.246997385024576f,    0.247352283303969f,    0.247706830663986f,
    0.248061027284663f,    0.248414873345993f,    0.248768369027926f,
    0.249121514510370f,    0.249474309973191f,    0.249826755596210f,
    0.250178851559207f,    0.250530598041920f,    0.250881995224043f,
    0.251233043285228f,    0.251583742405084f,    0.251934092763177f,
    0.252284094539032f,    0.252633747912130f,    0.252983053061909f,
    0.253332010167765f,    0.253680619409052f,    0.254028880965080f,
    0.254376795015117f,    0.254724361738388f,    0.255071581314077f,
    0.255418453921322f,    0.255764979739221f,    0.256111158946830f,
    0.256456991723160f,    0.256802478247180f,    0.257147618697817f,
    0.257492413253955f,    0.257836862094436f,    0.258180965398058f,
    0.258524723343577f,    0.258868136109707f,    0.259211203875118f,
    0.259553926818439f,    0.259896305118254f,    0.260238338953107f,
    0.260580028501497f,    0.260921373941883f,    0.261262375452678f,
    0.261603033212256f,    0.261943347398944f,    0.262283318191031f,
    0.258261217759182f,    0.258600502296753f,    0.258939443974328f,
    0.259278042970020f,    0.259616299461904f,    0.259954213628010f,
    0.260291785646327f,    0.260629015694800f,    0.260965903951331f,
    0.261302450593780f,    0.261638655799966f,    0.261974519747662f,
    0.262310042614600f,    0.262645224578471f,    0.262980065816920f,
    0.263314566507552f,    0.263648726827928f,    0.263982546955566f,
    0.264316027067943f,    0.264649167342491f,    0.264981967956602f,
    0.265314429087624f,    0.265646550912860f,    0.265978333609575f,
    0.266309777354988f,    0.266640882326276f,    0.266971648700574f,
    0.267302076654974f,    0.267632166366524f,    0.267961918012231f,
    0.268291331769060f,    0.268620407813930f,    0.268949146323722f,
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    0.000000000000000000f, 0.000000000000000000f, 0.000000000000000000f};

}  // namespace vraudio

#endif  // RESONANCE_AUDIO_DSP_SPECTRAL_REVERB_CONSTANTS_AND_TABLES_H_