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annotate DPF-Prymula-audioplugins/dpf/distrho/extra/ValueSmoother.hpp @ 3:84e66ea83026
DPF-Prymula-audioplugins-0.231015-2
author | prymula <prymula76@outlook.com> |
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date | Mon, 16 Oct 2023 21:53:34 +0200 |
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1 /* |
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2 * DISTRHO Plugin Framework (DPF) |
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3 * Copyright (C) 2021 Jean Pierre Cimalando <jp-dev@inbox.ru> |
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4 * Copyright (C) 2021-2023 Filipe Coelho <falktx@falktx.com> |
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5 * |
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6 * Permission to use, copy, modify, and/or distribute this software for any purpose with |
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7 * or without fee is hereby granted, provided that the above copyright notice and this |
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8 * permission notice appear in all copies. |
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9 * |
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10 * THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD |
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11 * TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN |
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12 * NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL |
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13 * DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER |
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14 * IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN |
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15 * CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. |
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16 */ |
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17 |
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18 #ifndef DISTRHO_VALUE_SMOOTHER_HPP_INCLUDED |
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19 #define DISTRHO_VALUE_SMOOTHER_HPP_INCLUDED |
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20 |
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21 #include "../DistrhoUtils.hpp" |
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22 |
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23 START_NAMESPACE_DISTRHO |
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24 |
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25 // -------------------------------------------------------------------------------------------------------------------- |
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26 |
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27 /** |
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28 * @brief An exponential smoother for control values |
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29 * |
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30 * This continually smooths a value towards a defined target, |
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31 * using a low-pass filter of the 1st order, which creates an exponential curve. |
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32 * |
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33 * The length of the curve is defined by a T60 constant, |
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34 * which is the time it takes for a 1-to-0 smoothing to fall to -60dB. |
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35 * |
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36 * Note that this smoother has asymptotical behavior, |
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37 * and it must not be assumed that the final target is ever reached. |
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38 */ |
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39 class ExponentialValueSmoother { |
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40 float coef; |
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41 float target; |
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42 float mem; |
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43 float tau; |
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44 float sampleRate; |
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45 |
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46 public: |
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47 ExponentialValueSmoother() |
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48 : coef(0.f), |
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49 target(0.f), |
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50 mem(0.f), |
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51 tau(0.f), |
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52 sampleRate(0.f) {} |
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53 |
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54 void setSampleRate(const float newSampleRate) noexcept |
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55 { |
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56 if (d_isNotEqual(sampleRate, newSampleRate)) |
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57 { |
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58 sampleRate = newSampleRate; |
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59 updateCoef(); |
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60 } |
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61 } |
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62 |
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63 void setTimeConstant(const float newT60) noexcept |
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64 { |
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65 const float newTau = newT60 * (float)(1.0 / 6.91); |
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66 |
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67 if (d_isNotEqual(tau, newTau)) |
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68 { |
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69 tau = newTau; |
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70 updateCoef(); |
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71 } |
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72 } |
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73 |
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74 float getCurrentValue() const noexcept |
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75 { |
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76 return mem; |
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77 } |
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78 |
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79 float getTargetValue() const noexcept |
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80 { |
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81 return target; |
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82 } |
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83 |
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84 void setTargetValue(const float newTarget) noexcept |
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85 { |
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86 target = newTarget; |
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87 } |
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88 |
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89 void clearToTargetValue() noexcept |
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90 { |
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91 mem = target; |
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92 } |
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93 |
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94 inline float peek() const noexcept |
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95 { |
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96 return mem * coef + target * (1.f - coef); |
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97 } |
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98 |
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99 inline float next() noexcept |
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100 { |
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101 return (mem = mem * coef + target * (1.f - coef)); |
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102 } |
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103 |
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104 private: |
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105 void updateCoef() noexcept |
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106 { |
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107 coef = std::exp(-1.f / (tau * sampleRate)); |
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108 } |
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109 }; |
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110 |
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111 // -------------------------------------------------------------------------------------------------------------------- |
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112 |
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113 /** |
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114 * @brief A linear smoother for control values |
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115 * |
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116 * This continually smooths a value towards a defined target, using linear segments. |
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117 * |
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118 * The duration of the smoothing segment is defined by the given time constant. |
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119 * Every time the target changes, a new segment restarts for the whole duration of the time constant. |
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120 * |
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121 * Note that this smoother, unlike an exponential smoother, eventually should converge to its target value. |
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122 */ |
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123 class LinearValueSmoother { |
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124 float step; |
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125 float target; |
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126 float mem; |
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127 float tau; |
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128 float sampleRate; |
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129 |
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130 public: |
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131 LinearValueSmoother() |
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132 : step(0.f), |
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133 target(0.f), |
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134 mem(0.f), |
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135 tau(0.f), |
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136 sampleRate(0.f) {} |
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137 |
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138 void setSampleRate(const float newSampleRate) noexcept |
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139 { |
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140 if (d_isNotEqual(sampleRate, newSampleRate)) |
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141 { |
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142 sampleRate = newSampleRate; |
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143 updateStep(); |
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144 } |
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145 } |
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146 |
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147 void setTimeConstant(const float newTau) noexcept |
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148 { |
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149 if (d_isNotEqual(tau, newTau)) |
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150 { |
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151 tau = newTau; |
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152 updateStep(); |
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153 } |
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154 } |
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155 |
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156 float getCurrentValue() const noexcept |
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157 { |
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158 return mem; |
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159 } |
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160 |
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161 float getTargetValue() const noexcept |
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162 { |
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163 return target; |
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164 } |
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165 |
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166 void setTargetValue(const float newTarget) noexcept |
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167 { |
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168 if (d_isNotEqual(target, newTarget)) |
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169 { |
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170 target = newTarget; |
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171 updateStep(); |
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172 } |
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173 } |
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174 |
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175 void clearToTargetValue() noexcept |
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176 { |
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177 mem = target; |
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178 } |
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179 |
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180 inline float peek() const noexcept |
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181 { |
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182 const float dy = target - mem; |
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183 return mem + std::copysign(std::fmin(std::abs(dy), std::abs(step)), dy); |
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184 } |
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185 |
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186 inline float next() noexcept |
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187 { |
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188 const float y0 = mem; |
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189 const float dy = target - y0; |
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190 return (mem = y0 + std::copysign(std::fmin(std::abs(dy), std::abs(step)), dy)); |
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191 } |
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192 |
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193 private: |
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194 void updateStep() noexcept |
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195 { |
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196 step = (target - mem) / (tau * sampleRate); |
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197 } |
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198 }; |
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199 |
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200 // -------------------------------------------------------------------------------------------------------------------- |
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201 |
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202 END_NAMESPACE_DISTRHO |
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203 |
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204 #endif // DISTRHO_VALUE_SMOOTHER_HPP_INCLUDED |