[bugfix] 调整数据存储格式
This commit is contained in:
Sam
parent
ebbe9c24fa
commit
d5d88850d9
646
data/projects/params/test_project_param1.csv
Normal file
646
data/projects/params/test_project_param1.csv
Normal file
@ -0,0 +1,646 @@
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parameter,value
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dataset.audio_mode,0
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dataset.send_action,0
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dataset.tuning_parameters.mix_parameters[0].ch_n,0
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dataset.tuning_parameters.mix_parameters[0].mix_left_data,0.7
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dataset.tuning_parameters.mix_parameters[0].mix_right_data,0.3
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dataset.tuning_parameters.mix_parameters[1].ch_n,1
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dataset.tuning_parameters.mix_parameters[1].mix_left_data,0.5
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dataset.tuning_parameters.mix_parameters[1].mix_right_data,0.5
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dataset.tuning_parameters.mix_parameters[2].ch_n,2
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dataset.tuning_parameters.mix_parameters[2].mix_left_data,0.0
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dataset.tuning_parameters.mix_parameters[2].mix_right_data,0.0
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dataset.tuning_parameters.mix_parameters[3].ch_n,3
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dataset.tuning_parameters.mix_parameters[3].mix_left_data,0.0
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dataset.tuning_parameters.mix_parameters[3].mix_right_data,0.0
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dataset.tuning_parameters.mix_parameters[4].ch_n,4
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dataset.tuning_parameters.mix_parameters[4].mix_left_data,0.0
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dataset.tuning_parameters.mix_parameters[4].mix_right_data,0.0
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dataset.tuning_parameters.mix_parameters[5].ch_n,5
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dataset.tuning_parameters.mix_parameters[5].mix_left_data,0.0
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dataset.tuning_parameters.mix_parameters[5].mix_right_data,0.0
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dataset.tuning_parameters.eq_parameters[0].fc,100.0
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dataset.tuning_parameters.eq_parameters[0].q,0.7
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dataset.tuning_parameters.eq_parameters[0].gain,2.0
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dataset.tuning_parameters.eq_parameters[0].slope,12
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dataset.tuning_parameters.eq_parameters[0].filterType,1
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dataset.tuning_parameters.eq_parameters[1].fc,200.0
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dataset.tuning_parameters.eq_parameters[1].q,1.0
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dataset.tuning_parameters.eq_parameters[1].gain,-3.0
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dataset.tuning_parameters.eq_parameters[1].slope,6
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dataset.tuning_parameters.eq_parameters[1].filterType,2
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dataset.tuning_parameters.eq_parameters[2].fc,0.0
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dataset.tuning_parameters.eq_parameters[2].q,0.0
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dataset.tuning_parameters.eq_parameters[2].gain,0.0
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dataset.tuning_parameters.eq_parameters[2].slope,0
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dataset.tuning_parameters.eq_parameters[2].filterType,0
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dataset.tuning_parameters.eq_parameters[3].fc,0.0
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dataset.tuning_parameters.eq_parameters[3].q,0.0
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dataset.tuning_parameters.eq_parameters[3].gain,0.0
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dataset.tuning_parameters.eq_parameters[3].slope,0
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dataset.tuning_parameters.eq_parameters[3].filterType,0
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dataset.tuning_parameters.eq_parameters[4].fc,0.0
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dataset.tuning_parameters.eq_parameters[4].q,0.0
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dataset.tuning_parameters.eq_parameters[4].gain,0.0
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dataset.tuning_parameters.eq_parameters[4].slope,0
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dataset.tuning_parameters.eq_parameters[4].filterType,0
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dataset.tuning_parameters.eq_parameters[5].fc,0.0
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dataset.tuning_parameters.eq_parameters[5].q,0.0
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dataset.tuning_parameters.eq_parameters[5].gain,0.0
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dataset.tuning_parameters.eq_parameters[5].slope,0
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dataset.tuning_parameters.eq_parameters[5].filterType,0
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dataset.tuning_parameters.eq_parameters[6].fc,0.0
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dataset.tuning_parameters.eq_parameters[6].q,0.0
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dataset.tuning_parameters.eq_parameters[6].gain,0.0
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dataset.tuning_parameters.eq_parameters[6].slope,0
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dataset.tuning_parameters.eq_parameters[6].filterType,0
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dataset.tuning_parameters.eq_parameters[7].fc,0.0
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dataset.tuning_parameters.eq_parameters[7].q,0.0
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dataset.tuning_parameters.eq_parameters[7].gain,0.0
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dataset.tuning_parameters.eq_parameters[7].slope,0
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dataset.tuning_parameters.eq_parameters[7].filterType,0
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dataset.tuning_parameters.eq_parameters[8].fc,0.0
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dataset.tuning_parameters.eq_parameters[8].q,0.0
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dataset.tuning_parameters.eq_parameters[8].gain,0.0
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dataset.tuning_parameters.eq_parameters[8].slope,0
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dataset.tuning_parameters.eq_parameters[8].filterType,0
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dataset.tuning_parameters.eq_parameters[9].fc,0.0
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dataset.tuning_parameters.eq_parameters[9].q,0.0
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dataset.tuning_parameters.eq_parameters[9].gain,0.0
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dataset.tuning_parameters.eq_parameters[9].slope,0
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dataset.tuning_parameters.eq_parameters[9].filterType,0
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dataset.tuning_parameters.eq_parameters[10].fc,0.0
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dataset.tuning_parameters.eq_parameters[10].q,0.0
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dataset.tuning_parameters.eq_parameters[10].gain,0.0
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dataset.tuning_parameters.eq_parameters[10].slope,0
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dataset.tuning_parameters.eq_parameters[10].filterType,0
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dataset.tuning_parameters.eq_parameters[11].fc,0.0
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dataset.tuning_parameters.eq_parameters[11].q,0.0
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dataset.tuning_parameters.eq_parameters[11].gain,0.0
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dataset.tuning_parameters.eq_parameters[11].slope,0
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dataset.tuning_parameters.eq_parameters[11].filterType,0
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dataset.tuning_parameters.eq_parameters[12].fc,0.0
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dataset.tuning_parameters.eq_parameters[12].q,0.0
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dataset.tuning_parameters.eq_parameters[12].gain,0.0
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dataset.tuning_parameters.eq_parameters[12].slope,0
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dataset.tuning_parameters.eq_parameters[12].filterType,0
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dataset.tuning_parameters.eq_parameters[13].fc,0.0
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dataset.tuning_parameters.eq_parameters[13].q,0.0
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dataset.tuning_parameters.eq_parameters[13].gain,0.0
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dataset.tuning_parameters.eq_parameters[13].slope,0
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dataset.tuning_parameters.eq_parameters[13].filterType,0
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dataset.tuning_parameters.eq_parameters[14].fc,0.0
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dataset.tuning_parameters.eq_parameters[14].q,0.0
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dataset.tuning_parameters.eq_parameters[14].gain,0.0
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dataset.tuning_parameters.eq_parameters[14].slope,0
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dataset.tuning_parameters.eq_parameters[14].filterType,0
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dataset.tuning_parameters.eq_parameters[15].fc,0.0
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dataset.tuning_parameters.eq_parameters[15].q,0.0
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dataset.tuning_parameters.eq_parameters[15].gain,0.0
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dataset.tuning_parameters.eq_parameters[15].slope,0
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dataset.tuning_parameters.eq_parameters[15].filterType,0
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dataset.tuning_parameters.eq_parameters[16].fc,0.0
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dataset.tuning_parameters.eq_parameters[16].q,0.0
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dataset.tuning_parameters.eq_parameters[16].gain,0.0
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dataset.tuning_parameters.eq_parameters[16].slope,0
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dataset.tuning_parameters.eq_parameters[16].filterType,0
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dataset.tuning_parameters.eq_parameters[17].fc,0.0
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dataset.tuning_parameters.eq_parameters[17].q,0.0
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dataset.tuning_parameters.eq_parameters[17].gain,0.0
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dataset.tuning_parameters.eq_parameters[17].slope,0
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dataset.tuning_parameters.eq_parameters[17].filterType,0
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dataset.tuning_parameters.eq_parameters[18].fc,0.0
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dataset.tuning_parameters.eq_parameters[18].q,0.0
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dataset.tuning_parameters.eq_parameters[18].gain,0.0
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dataset.tuning_parameters.eq_parameters[18].slope,0
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dataset.tuning_parameters.eq_parameters[18].filterType,0
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dataset.tuning_parameters.eq_parameters[19].fc,0.0
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dataset.tuning_parameters.eq_parameters[19].q,0.0
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dataset.tuning_parameters.eq_parameters[19].gain,0.0
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dataset.tuning_parameters.eq_parameters[19].slope,0
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dataset.tuning_parameters.eq_parameters[19].filterType,0
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dataset.tuning_parameters.eq_parameters[20].fc,1000.0
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dataset.tuning_parameters.eq_parameters[20].q,1.4
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dataset.tuning_parameters.eq_parameters[20].gain,-3.0
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dataset.tuning_parameters.eq_parameters[20].slope,6
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dataset.tuning_parameters.eq_parameters[20].filterType,2
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dataset.tuning_parameters.eq_parameters[21].fc,0.0
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dataset.tuning_parameters.eq_parameters[21].q,0.0
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dataset.tuning_parameters.eq_parameters[21].gain,0.0
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dataset.tuning_parameters.eq_parameters[21].slope,0
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dataset.tuning_parameters.eq_parameters[21].filterType,0
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dataset.tuning_parameters.eq_parameters[22].fc,0.0
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dataset.tuning_parameters.eq_parameters[22].q,0.0
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dataset.tuning_parameters.eq_parameters[22].gain,0.0
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dataset.tuning_parameters.eq_parameters[22].slope,0
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dataset.tuning_parameters.eq_parameters[22].filterType,0
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dataset.tuning_parameters.eq_parameters[23].fc,0.0
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dataset.tuning_parameters.eq_parameters[23].q,0.0
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dataset.tuning_parameters.eq_parameters[23].gain,0.0
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dataset.tuning_parameters.eq_parameters[23].slope,0
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dataset.tuning_parameters.eq_parameters[23].filterType,0
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dataset.tuning_parameters.eq_parameters[24].fc,0.0
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dataset.tuning_parameters.eq_parameters[24].q,0.0
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dataset.tuning_parameters.eq_parameters[24].gain,0.0
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dataset.tuning_parameters.eq_parameters[24].slope,0
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dataset.tuning_parameters.eq_parameters[24].filterType,0
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dataset.tuning_parameters.eq_parameters[25].fc,0.0
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dataset.tuning_parameters.eq_parameters[25].q,0.0
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dataset.tuning_parameters.eq_parameters[25].gain,0.0
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dataset.tuning_parameters.eq_parameters[25].slope,0
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dataset.tuning_parameters.eq_parameters[25].filterType,0
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dataset.tuning_parameters.eq_parameters[26].fc,0.0
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dataset.tuning_parameters.eq_parameters[26].q,0.0
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dataset.tuning_parameters.eq_parameters[26].gain,0.0
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dataset.tuning_parameters.eq_parameters[26].slope,0
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dataset.tuning_parameters.eq_parameters[26].filterType,0
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dataset.tuning_parameters.eq_parameters[27].fc,0.0
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dataset.tuning_parameters.eq_parameters[27].q,0.0
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dataset.tuning_parameters.eq_parameters[27].gain,0.0
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dataset.tuning_parameters.eq_parameters[27].slope,0
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dataset.tuning_parameters.eq_parameters[27].filterType,0
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dataset.tuning_parameters.eq_parameters[28].fc,0.0
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dataset.tuning_parameters.eq_parameters[28].q,0.0
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dataset.tuning_parameters.eq_parameters[28].gain,0.0
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dataset.tuning_parameters.eq_parameters[28].slope,0
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dataset.tuning_parameters.eq_parameters[28].filterType,0
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dataset.tuning_parameters.eq_parameters[29].fc,0.0
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dataset.tuning_parameters.eq_parameters[29].q,0.0
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dataset.tuning_parameters.eq_parameters[29].gain,0.0
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dataset.tuning_parameters.eq_parameters[29].slope,0
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dataset.tuning_parameters.eq_parameters[29].filterType,0
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dataset.tuning_parameters.eq_parameters[30].fc,0.0
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dataset.tuning_parameters.eq_parameters[30].q,0.0
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dataset.tuning_parameters.eq_parameters[30].gain,0.0
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dataset.tuning_parameters.eq_parameters[30].slope,0
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dataset.tuning_parameters.eq_parameters[30].filterType,0
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dataset.tuning_parameters.eq_parameters[31].fc,0.0
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dataset.tuning_parameters.eq_parameters[31].q,0.0
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dataset.tuning_parameters.eq_parameters[31].gain,0.0
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dataset.tuning_parameters.eq_parameters[31].slope,0
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dataset.tuning_parameters.eq_parameters[31].filterType,0
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dataset.tuning_parameters.eq_parameters[32].fc,0.0
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dataset.tuning_parameters.eq_parameters[32].q,0.0
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dataset.tuning_parameters.eq_parameters[32].gain,0.0
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dataset.tuning_parameters.eq_parameters[32].slope,0
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dataset.tuning_parameters.eq_parameters[32].filterType,0
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dataset.tuning_parameters.eq_parameters[33].fc,0.0
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dataset.tuning_parameters.eq_parameters[33].q,0.0
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dataset.tuning_parameters.eq_parameters[33].gain,0.0
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dataset.tuning_parameters.eq_parameters[33].slope,0
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dataset.tuning_parameters.eq_parameters[33].filterType,0
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dataset.tuning_parameters.eq_parameters[34].fc,0.0
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dataset.tuning_parameters.eq_parameters[34].q,0.0
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dataset.tuning_parameters.eq_parameters[34].gain,0.0
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dataset.tuning_parameters.eq_parameters[34].slope,0
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dataset.tuning_parameters.eq_parameters[34].filterType,0
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dataset.tuning_parameters.eq_parameters[35].fc,0.0
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dataset.tuning_parameters.eq_parameters[35].q,0.0
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dataset.tuning_parameters.eq_parameters[35].gain,0.0
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dataset.tuning_parameters.eq_parameters[35].slope,0
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dataset.tuning_parameters.eq_parameters[35].filterType,0
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dataset.tuning_parameters.eq_parameters[36].fc,0.0
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dataset.tuning_parameters.eq_parameters[36].q,0.0
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dataset.tuning_parameters.eq_parameters[36].gain,0.0
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dataset.tuning_parameters.eq_parameters[36].slope,0
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dataset.tuning_parameters.eq_parameters[36].filterType,0
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dataset.tuning_parameters.eq_parameters[37].fc,0.0
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dataset.tuning_parameters.eq_parameters[37].q,0.0
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dataset.tuning_parameters.eq_parameters[37].gain,0.0
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dataset.tuning_parameters.eq_parameters[37].slope,0
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dataset.tuning_parameters.eq_parameters[37].filterType,0
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dataset.tuning_parameters.eq_parameters[38].fc,0.0
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dataset.tuning_parameters.eq_parameters[38].q,0.0
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dataset.tuning_parameters.eq_parameters[38].gain,0.0
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dataset.tuning_parameters.eq_parameters[38].slope,0
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dataset.tuning_parameters.eq_parameters[38].filterType,0
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dataset.tuning_parameters.eq_parameters[39].fc,0.0
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dataset.tuning_parameters.eq_parameters[39].q,0.0
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dataset.tuning_parameters.eq_parameters[39].gain,0.0
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dataset.tuning_parameters.eq_parameters[39].slope,0
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dataset.tuning_parameters.eq_parameters[39].filterType,0
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dataset.tuning_parameters.eq_parameters[40].fc,0.0
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dataset.tuning_parameters.eq_parameters[40].q,0.0
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dataset.tuning_parameters.eq_parameters[40].gain,0.0
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dataset.tuning_parameters.eq_parameters[40].slope,0
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dataset.tuning_parameters.eq_parameters[40].filterType,0
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dataset.tuning_parameters.eq_parameters[41].fc,0.0
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dataset.tuning_parameters.eq_parameters[41].q,0.0
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dataset.tuning_parameters.eq_parameters[41].gain,0.0
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dataset.tuning_parameters.eq_parameters[41].slope,0
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dataset.tuning_parameters.eq_parameters[41].filterType,0
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dataset.tuning_parameters.eq_parameters[42].fc,0.0
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dataset.tuning_parameters.eq_parameters[42].q,0.0
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dataset.tuning_parameters.eq_parameters[42].gain,0.0
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dataset.tuning_parameters.eq_parameters[42].slope,0
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dataset.tuning_parameters.eq_parameters[42].filterType,0
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dataset.tuning_parameters.eq_parameters[43].fc,0.0
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dataset.tuning_parameters.eq_parameters[43].q,0.0
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dataset.tuning_parameters.eq_parameters[43].gain,0.0
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dataset.tuning_parameters.eq_parameters[43].slope,0
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dataset.tuning_parameters.eq_parameters[43].filterType,0
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dataset.tuning_parameters.eq_parameters[44].fc,0.0
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dataset.tuning_parameters.eq_parameters[44].q,0.0
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dataset.tuning_parameters.eq_parameters[44].gain,0.0
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dataset.tuning_parameters.eq_parameters[44].slope,0
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dataset.tuning_parameters.eq_parameters[44].filterType,0
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dataset.tuning_parameters.eq_parameters[45].fc,0.0
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dataset.tuning_parameters.eq_parameters[45].q,0.0
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dataset.tuning_parameters.eq_parameters[45].gain,0.0
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dataset.tuning_parameters.eq_parameters[45].slope,0
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dataset.tuning_parameters.eq_parameters[45].filterType,0
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dataset.tuning_parameters.eq_parameters[46].fc,0.0
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dataset.tuning_parameters.eq_parameters[46].q,0.0
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dataset.tuning_parameters.eq_parameters[46].gain,0.0
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dataset.tuning_parameters.eq_parameters[46].slope,0
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dataset.tuning_parameters.eq_parameters[46].filterType,0
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dataset.tuning_parameters.eq_parameters[47].fc,0.0
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dataset.tuning_parameters.eq_parameters[47].q,0.0
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dataset.tuning_parameters.eq_parameters[47].gain,0.0
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dataset.tuning_parameters.eq_parameters[47].slope,0
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dataset.tuning_parameters.eq_parameters[47].filterType,0
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dataset.tuning_parameters.eq_parameters[48].fc,0.0
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dataset.tuning_parameters.eq_parameters[48].q,0.0
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dataset.tuning_parameters.eq_parameters[48].gain,0.0
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dataset.tuning_parameters.eq_parameters[48].slope,0
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dataset.tuning_parameters.eq_parameters[48].filterType,0
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dataset.tuning_parameters.eq_parameters[49].fc,0.0
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dataset.tuning_parameters.eq_parameters[49].q,0.0
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dataset.tuning_parameters.eq_parameters[49].gain,0.0
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dataset.tuning_parameters.eq_parameters[49].slope,0
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dataset.tuning_parameters.eq_parameters[49].filterType,0
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dataset.tuning_parameters.eq_parameters[50].fc,0.0
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dataset.tuning_parameters.eq_parameters[50].q,0.0
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dataset.tuning_parameters.eq_parameters[50].gain,0.0
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dataset.tuning_parameters.eq_parameters[50].slope,0
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dataset.tuning_parameters.eq_parameters[50].filterType,0
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dataset.tuning_parameters.eq_parameters[51].fc,0.0
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dataset.tuning_parameters.eq_parameters[51].q,0.0
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dataset.tuning_parameters.eq_parameters[51].gain,0.0
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dataset.tuning_parameters.eq_parameters[51].slope,0
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dataset.tuning_parameters.eq_parameters[51].filterType,0
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dataset.tuning_parameters.eq_parameters[52].fc,0.0
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dataset.tuning_parameters.eq_parameters[52].q,0.0
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dataset.tuning_parameters.eq_parameters[52].gain,0.0
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dataset.tuning_parameters.eq_parameters[52].slope,0
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dataset.tuning_parameters.eq_parameters[52].filterType,0
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dataset.tuning_parameters.eq_parameters[53].fc,0.0
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dataset.tuning_parameters.eq_parameters[53].q,0.0
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dataset.tuning_parameters.eq_parameters[53].gain,0.0
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dataset.tuning_parameters.eq_parameters[53].slope,0
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dataset.tuning_parameters.eq_parameters[53].filterType,0
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dataset.tuning_parameters.eq_parameters[54].fc,0.0
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dataset.tuning_parameters.eq_parameters[54].q,0.0
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dataset.tuning_parameters.eq_parameters[54].gain,0.0
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dataset.tuning_parameters.eq_parameters[54].slope,0
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dataset.tuning_parameters.eq_parameters[54].filterType,0
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dataset.tuning_parameters.eq_parameters[55].fc,0.0
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dataset.tuning_parameters.eq_parameters[55].q,0.0
|
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dataset.tuning_parameters.eq_parameters[55].gain,0.0
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dataset.tuning_parameters.eq_parameters[55].slope,0
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dataset.tuning_parameters.eq_parameters[55].filterType,0
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dataset.tuning_parameters.eq_parameters[56].fc,0.0
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dataset.tuning_parameters.eq_parameters[117].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[117].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[117].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[118].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[118].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[119].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[119].filterType,0
|
||||
dataset.tuning_parameters.delay_parameters[0].ch_n,0
|
||||
dataset.tuning_parameters.delay_parameters[0].delay_data,0.05
|
||||
dataset.tuning_parameters.delay_parameters[1].ch_n,1
|
||||
dataset.tuning_parameters.delay_parameters[1].delay_data,0.1
|
||||
dataset.tuning_parameters.delay_parameters[2].ch_n,2
|
||||
dataset.tuning_parameters.delay_parameters[2].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[3].ch_n,3
|
||||
dataset.tuning_parameters.delay_parameters[3].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[4].ch_n,4
|
||||
dataset.tuning_parameters.delay_parameters[4].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[5].ch_n,5
|
||||
dataset.tuning_parameters.delay_parameters[5].delay_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[0].ch_n,0
|
||||
dataset.tuning_parameters.volume_parameters[0].vol_data,-3.0
|
||||
dataset.tuning_parameters.volume_parameters[1].ch_n,1
|
||||
dataset.tuning_parameters.volume_parameters[1].vol_data,-6.0
|
||||
dataset.tuning_parameters.volume_parameters[2].ch_n,2
|
||||
dataset.tuning_parameters.volume_parameters[2].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[3].ch_n,3
|
||||
dataset.tuning_parameters.volume_parameters[3].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[4].ch_n,4
|
||||
dataset.tuning_parameters.volume_parameters[4].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[5].ch_n,5
|
||||
dataset.tuning_parameters.volume_parameters[5].vol_data,0.0
|
||||
|
646
data/projects/params/test_project_param2.csv
Normal file
646
data/projects/params/test_project_param2.csv
Normal file
@ -0,0 +1,646 @@
|
||||
parameter,value
|
||||
dataset.audio_mode,0
|
||||
dataset.send_action,0
|
||||
dataset.tuning_parameters.mix_parameters[0].ch_n,0
|
||||
dataset.tuning_parameters.mix_parameters[0].mix_left_data,0.7
|
||||
dataset.tuning_parameters.mix_parameters[0].mix_right_data,0.3
|
||||
dataset.tuning_parameters.mix_parameters[1].ch_n,1
|
||||
dataset.tuning_parameters.mix_parameters[1].mix_left_data,0.5
|
||||
dataset.tuning_parameters.mix_parameters[1].mix_right_data,0.5
|
||||
dataset.tuning_parameters.mix_parameters[2].ch_n,2
|
||||
dataset.tuning_parameters.mix_parameters[2].mix_left_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[2].mix_right_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[3].ch_n,3
|
||||
dataset.tuning_parameters.mix_parameters[3].mix_left_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[3].mix_right_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[4].ch_n,4
|
||||
dataset.tuning_parameters.mix_parameters[4].mix_left_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[4].mix_right_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[5].ch_n,5
|
||||
dataset.tuning_parameters.mix_parameters[5].mix_left_data,0.0
|
||||
dataset.tuning_parameters.mix_parameters[5].mix_right_data,0.0
|
||||
dataset.tuning_parameters.eq_parameters[0].fc,100.0
|
||||
dataset.tuning_parameters.eq_parameters[0].q,0.7
|
||||
dataset.tuning_parameters.eq_parameters[0].gain,2.0
|
||||
dataset.tuning_parameters.eq_parameters[0].slope,12
|
||||
dataset.tuning_parameters.eq_parameters[0].filterType,1
|
||||
dataset.tuning_parameters.eq_parameters[1].fc,200.0
|
||||
dataset.tuning_parameters.eq_parameters[1].q,1.0
|
||||
dataset.tuning_parameters.eq_parameters[1].gain,-3.0
|
||||
dataset.tuning_parameters.eq_parameters[1].slope,6
|
||||
dataset.tuning_parameters.eq_parameters[1].filterType,2
|
||||
dataset.tuning_parameters.eq_parameters[2].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[2].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[2].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[2].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[2].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[3].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[3].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[3].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[3].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[3].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[4].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[4].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[4].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[4].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[4].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[5].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[5].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[5].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[5].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[5].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[6].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[6].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[6].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[6].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[6].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[7].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[7].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[7].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[7].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[7].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[8].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[8].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[8].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[8].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[8].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[9].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[9].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[9].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[9].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[9].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[10].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[10].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[10].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[10].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[10].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[11].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[11].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[11].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[11].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[11].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[12].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[12].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[12].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[12].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[12].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[13].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[13].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[13].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[13].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[13].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[14].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[14].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[14].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[14].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[14].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[15].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[15].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[15].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[15].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[15].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[16].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[16].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[16].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[16].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[16].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[17].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[17].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[17].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[17].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[17].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[18].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[18].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[18].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[18].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[18].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[19].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[19].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[19].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[19].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[19].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[20].fc,1000.0
|
||||
dataset.tuning_parameters.eq_parameters[20].q,1.4
|
||||
dataset.tuning_parameters.eq_parameters[20].gain,-3.0
|
||||
dataset.tuning_parameters.eq_parameters[20].slope,6
|
||||
dataset.tuning_parameters.eq_parameters[20].filterType,2
|
||||
dataset.tuning_parameters.eq_parameters[21].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[21].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[21].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[21].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[21].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[22].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[22].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[22].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[22].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[22].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[23].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[23].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[23].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[23].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[23].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[24].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[24].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[24].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[24].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[24].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[25].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[25].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[25].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[25].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[25].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[26].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[26].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[26].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[26].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[26].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[27].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[27].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[27].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[27].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[27].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[28].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[28].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[28].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[28].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[28].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[29].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[29].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[29].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[29].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[29].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[30].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[30].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[30].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[30].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[30].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[31].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[31].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[31].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[31].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[31].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[32].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[32].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[32].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[32].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[32].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[33].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[33].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[33].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[33].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[33].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[34].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[34].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[34].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[34].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[34].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[35].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[35].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[35].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[35].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[35].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[36].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[36].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[36].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[36].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[36].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[37].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[37].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[37].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[37].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[37].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[38].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[38].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[38].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[38].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[38].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[39].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[39].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[39].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[39].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[39].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[40].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[40].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[40].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[40].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[40].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[41].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[41].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[41].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[41].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[41].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[42].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[42].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[42].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[42].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[42].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[43].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[43].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[43].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[43].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[43].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[44].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[44].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[44].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[44].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[44].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[45].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[45].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[45].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[45].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[45].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[46].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[46].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[46].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[46].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[46].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[47].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[47].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[47].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[47].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[47].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[48].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[48].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[48].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[48].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[48].filterType,0
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||||
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|
||||
dataset.tuning_parameters.eq_parameters[110].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[110].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[110].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[110].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[111].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[111].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[111].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[111].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[111].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[112].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[112].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[112].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[112].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[112].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[113].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[113].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[113].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[113].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[113].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[114].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[114].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[114].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[114].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[114].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[115].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[115].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[115].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[115].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[115].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[116].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[116].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[116].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[116].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[116].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[117].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[117].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[117].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[117].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[117].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[118].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[118].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[118].filterType,0
|
||||
dataset.tuning_parameters.eq_parameters[119].fc,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].q,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].gain,0.0
|
||||
dataset.tuning_parameters.eq_parameters[119].slope,0
|
||||
dataset.tuning_parameters.eq_parameters[119].filterType,0
|
||||
dataset.tuning_parameters.delay_parameters[0].ch_n,0
|
||||
dataset.tuning_parameters.delay_parameters[0].delay_data,0.05
|
||||
dataset.tuning_parameters.delay_parameters[1].ch_n,1
|
||||
dataset.tuning_parameters.delay_parameters[1].delay_data,0.1
|
||||
dataset.tuning_parameters.delay_parameters[2].ch_n,2
|
||||
dataset.tuning_parameters.delay_parameters[2].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[3].ch_n,3
|
||||
dataset.tuning_parameters.delay_parameters[3].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[4].ch_n,4
|
||||
dataset.tuning_parameters.delay_parameters[4].delay_data,0.0
|
||||
dataset.tuning_parameters.delay_parameters[5].ch_n,5
|
||||
dataset.tuning_parameters.delay_parameters[5].delay_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[0].ch_n,0
|
||||
dataset.tuning_parameters.volume_parameters[0].vol_data,-3.0
|
||||
dataset.tuning_parameters.volume_parameters[1].ch_n,1
|
||||
dataset.tuning_parameters.volume_parameters[1].vol_data,-6.0
|
||||
dataset.tuning_parameters.volume_parameters[2].ch_n,2
|
||||
dataset.tuning_parameters.volume_parameters[2].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[3].ch_n,3
|
||||
dataset.tuning_parameters.volume_parameters[3].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[4].ch_n,4
|
||||
dataset.tuning_parameters.volume_parameters[4].vol_data,0.0
|
||||
dataset.tuning_parameters.volume_parameters[5].ch_n,5
|
||||
dataset.tuning_parameters.volume_parameters[5].vol_data,0.0
|
||||
|
20
data/projects/test_project.json
Normal file
20
data/projects/test_project.json
Normal file
@ -0,0 +1,20 @@
|
||||
{
|
||||
"name": "test_project",
|
||||
"created_at": "2025-02-25T10:30:00",
|
||||
"last_modified": "2025-02-25T14:45:00",
|
||||
"description": "这是一个测试项目",
|
||||
"params": {
|
||||
"param1": {
|
||||
"name": "param1",
|
||||
"created_at": "2025-02-25T11:00:00",
|
||||
"description": "这是第一个参数配置",
|
||||
"channels": {}
|
||||
},
|
||||
"param2": {
|
||||
"name": "param2",
|
||||
"created_at": "2025-02-25T13:30:00",
|
||||
"description": "这是第二个参数配置",
|
||||
"channels": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
@ -62,12 +62,12 @@ class DataStore:
|
||||
if not project_data:
|
||||
raise ValueError(f"Project {project_name} not found")
|
||||
|
||||
# 创建参数配置
|
||||
# 创建简化的参数配置（只包含描述信息）
|
||||
param_config = ParamConfig(
|
||||
name=param_name,
|
||||
created_at=datetime.now().isoformat(),
|
||||
description=description,
|
||||
channels=self._convert_to_channel_config(channel_data)
|
||||
channels={} # 不再存储通道配置
|
||||
)
|
||||
|
||||
# 更新项目元数据
|
||||
@ -85,93 +85,123 @@ class DataStore:
|
||||
return False
|
||||
|
||||
def _save_param_to_csv(self, project_name: str, param_name: str, channel_data: Dict[int, Dict]):
|
||||
"""将参数数据保存为CSV格式，只包含参数名和值"""
|
||||
"""将参数数据保存为CSV格式，按照指定的顺序排列"""
|
||||
csv_path = self._get_param_path(project_name, param_name)
|
||||
|
||||
# 准备参数数据列表
|
||||
param_data = []
|
||||
|
||||
# 添加基本参数
|
||||
param_data.append({
|
||||
'parameter': 'dataset.audio_mode',
|
||||
'value': '0'
|
||||
})
|
||||
param_data.append({
|
||||
'parameter': 'dataset.send_action',
|
||||
'value': '0'
|
||||
})
|
||||
|
||||
# 添加混音参数
|
||||
for i in range(6):
|
||||
ch_value = str(i if i in channel_data else i)
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{i}].ch_n',
|
||||
'value': ch_value
|
||||
})
|
||||
|
||||
left_value = str(channel_data.get(i, {}).get('mix_left_data', 0.0))
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{i}].mix_left_data',
|
||||
'value': left_value
|
||||
})
|
||||
|
||||
right_value = str(channel_data.get(i, {}).get('mix_right_data', 0.0))
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{i}].mix_right_data',
|
||||
'value': right_value
|
||||
})
|
||||
|
||||
# 添加EQ参数
|
||||
for i in range(120):
|
||||
# 确定该滤波器属于哪个通道
|
||||
channel_id = i // 20 # 假设每个通道最多20个滤波器
|
||||
filter_idx = i % 20
|
||||
|
||||
filter_data = {}
|
||||
if channel_id in channel_data and 'filters' in channel_data[channel_id]:
|
||||
filters = channel_data[channel_id]['filters']
|
||||
if filter_idx < len(filters):
|
||||
filter_data = filters[filter_idx]
|
||||
|
||||
# 中心频率
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{i}].fc',
|
||||
'value': str(filter_data.get('fc', 0.0))
|
||||
})
|
||||
|
||||
# Q值
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{i}].q',
|
||||
'value': str(filter_data.get('q', 0.0))
|
||||
})
|
||||
|
||||
# 增益
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{i}].gain',
|
||||
'value': str(filter_data.get('gain', 0.0))
|
||||
})
|
||||
|
||||
# 斜率
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{i}].slope',
|
||||
'value': str(filter_data.get('slope', 0))
|
||||
})
|
||||
|
||||
# 滤波器类型
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{i}].filterType',
|
||||
'value': str(filter_data.get('filterType', 0))
|
||||
})
|
||||
|
||||
# 添加延迟参数
|
||||
for i in range(6):
|
||||
ch_value = str(i if i in channel_data else i)
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.delay_parameters[{i}].ch_n',
|
||||
'value': ch_value
|
||||
})
|
||||
|
||||
delay_value = str(channel_data.get(i, {}).get('delay_data', 0.0))
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.delay_parameters[{i}].delay_data',
|
||||
'value': delay_value
|
||||
})
|
||||
|
||||
# 添加音量参数
|
||||
for i in range(6):
|
||||
ch_value = str(i if i in channel_data else i)
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.volume_parameters[{i}].ch_n',
|
||||
'value': ch_value
|
||||
})
|
||||
|
||||
vol_value = str(channel_data.get(i, {}).get('vol_data', 0.0))
|
||||
param_data.append({
|
||||
'parameter': f'dataset.tuning_parameters.volume_parameters[{i}].vol_data',
|
||||
'value': vol_value
|
||||
})
|
||||
|
||||
# 写入CSV文件
|
||||
with open(csv_path, 'w', newline='') as csvfile:
|
||||
fieldnames = ['parameter', 'value']
|
||||
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
|
||||
writer.writeheader()
|
||||
|
||||
# 写入基本参数
|
||||
writer.writerow({
|
||||
'parameter': 'dataset.audio_mode',
|
||||
'value': '0' # 默认值
|
||||
})
|
||||
writer.writerow({
|
||||
'parameter': 'dataset.send_action',
|
||||
'value': '0' # 默认值
|
||||
})
|
||||
|
||||
# 写入通道参数
|
||||
for channel_id, data in channel_data.items():
|
||||
# 混音参数
|
||||
if 0 <= channel_id < 6: # 假设最多6个通道
|
||||
# 通道号
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{channel_id}].ch_n',
|
||||
'value': str(channel_id)
|
||||
})
|
||||
# 左混音
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{channel_id}].mix_left_data',
|
||||
'value': str(data.get('mix_left_data', 0.0))
|
||||
})
|
||||
# 右混音
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.mix_parameters[{channel_id}].mix_right_data',
|
||||
'value': str(data.get('mix_right_data', 0.0))
|
||||
})
|
||||
|
||||
# 延迟参数
|
||||
for param in param_data:
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.delay_parameters[{channel_id}].ch_n',
|
||||
'value': str(channel_id)
|
||||
'parameter': param['parameter'],
|
||||
'value': param['value']
|
||||
})
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.delay_parameters[{channel_id}].delay_data',
|
||||
'value': str(data.get('delay_data', 0.0))
|
||||
})
|
||||
|
||||
# 音量参数
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.volume_parameters[{channel_id}].ch_n',
|
||||
'value': str(channel_id)
|
||||
})
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.volume_parameters[{channel_id}].vol_data',
|
||||
'value': str(data.get('vol_data', 0.0))
|
||||
})
|
||||
|
||||
# 滤波器参数
|
||||
for filter_idx, filter_data in enumerate(data.get('filters', [])):
|
||||
base_idx = channel_id * 20 + filter_idx # 假设每个通道最多20个滤波器
|
||||
if base_idx < 120: # 最多120个滤波器参数
|
||||
# 中心频率
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{base_idx}].fc',
|
||||
'value': str(filter_data.get('fc', 0.0))
|
||||
})
|
||||
# Q值
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{base_idx}].q',
|
||||
'value': str(filter_data.get('q', 0.0))
|
||||
})
|
||||
# 增益
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{base_idx}].gain',
|
||||
'value': str(filter_data.get('gain', 0.0))
|
||||
})
|
||||
# 斜率
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{base_idx}].slope',
|
||||
'value': str(filter_data.get('slope', 0))
|
||||
})
|
||||
# 滤波器类型
|
||||
writer.writerow({
|
||||
'parameter': f'dataset.tuning_parameters.eq_parameters[{base_idx}].filterType',
|
||||
'value': str(filter_data.get('filterType', 0))
|
||||
})
|
||||
|
||||
def _get_param_structure(self):
|
||||
"""解析struct_params.txt获取参数结构"""
|
||||
@ -181,17 +211,8 @@ class DataStore:
|
||||
|
||||
def _convert_to_channel_config(self, channel_data: Dict[int, Dict]) -> Dict[int, ChannelConfig]:
|
||||
"""转换通道数据为ChannelConfig格式"""
|
||||
converted = {}
|
||||
for channel_id, data in channel_data.items():
|
||||
filters = [FilterConfig(**f) for f in data.get('filters', [])]
|
||||
converted[channel_id] = ChannelConfig(
|
||||
delay_data=data.get('delay_data', 0.0),
|
||||
vol_data=data.get('vol_data', 0.0),
|
||||
mix_left_data=data.get('mix_left_data', 0.0),
|
||||
mix_right_data=data.get('mix_right_data', 0.0),
|
||||
filters=filters
|
||||
)
|
||||
return converted
|
||||
# 由于JSON不再存储通道配置，此方法可以简化
|
||||
return {}
|
||||
|
||||
def load_project(self, project_name: str) -> Optional[ProjectData]:
|
||||
"""加载项目元数据"""
|
||||
|
||||
@ -24,8 +24,23 @@ class DataStoreManager:
|
||||
return self._store.current_param
|
||||
|
||||
def create_project(self, name: str, description: str = "") -> bool:
|
||||
"""创建新项目"""
|
||||
return self._store.save_project(name, description)
|
||||
"""创建或更新项目"""
|
||||
# 如果项目已存在，先获取现有数据
|
||||
existing_data = None
|
||||
if self._store._project_exists(name):
|
||||
existing_data = self._store.load_project(name)
|
||||
|
||||
# 保存项目，保留现有参数数据
|
||||
result = self._store.save_project(name, description)
|
||||
|
||||
# 如果是更新现有项目，需要恢复参数数据
|
||||
if result and existing_data and hasattr(existing_data, 'params'):
|
||||
updated_project = self._store.load_project(name)
|
||||
if updated_project:
|
||||
updated_project.params = existing_data.params
|
||||
self._store._save_project_data(name, updated_project)
|
||||
|
||||
return result
|
||||
|
||||
def save_param(self, project_name: str, param_name: str,
|
||||
channel_settings: Dict[int, Dict], description: str = "") -> bool:
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
from dataclasses import dataclass, asdict
|
||||
from dataclasses import dataclass, asdict, field
|
||||
from typing import Dict, List, Any, Optional
|
||||
from datetime import datetime
|
||||
|
||||
@ -26,7 +26,7 @@ class ParamConfig:
|
||||
name: str
|
||||
created_at: str
|
||||
description: str
|
||||
channels: Dict[int, ChannelConfig]
|
||||
channels: Dict[int, ChannelConfig] = field(default_factory=dict)
|
||||
|
||||
@dataclass
|
||||
class ProjectData:
|
||||
@ -34,4 +34,4 @@ class ProjectData:
|
||||
created_at: str
|
||||
last_modified: str
|
||||
description: str
|
||||
params: Dict[str, ParamConfig]
|
||||
params: Dict[str, ParamConfig] = field(default_factory=dict)
|
||||
Loading…
Reference in New Issue
Block a user