o NÆÏit ã@sÂdZidd“dd“dd“dd“d d “d d “d d“dd“dd“dd“dd“dd“dd“dd“dd“dd “d!d"“id#d$“d%d&“d'd(“d)d*“d+d,“d-d.“d/d0“d1d2“d3d4“d5d6“d7d8“d9d:“d;d<“d=d>“d?d@“dAdB“dCdD“¥idEdF“dGdH“dIdJ“dKdL“dMd“dNd“dOd“dPd “dQd “dRd“dSd“dTd“dUd“dVd“dWd“dXd“dYd“¥idZd“d[d “d\d"“d]d$“d^d&“d_d(“d`d“dad “dbd“dcd“ddd“ded$“dfd*“dgd0“dhd6“did<“djdB“¥dHdkdldmdndodpœ¥ZdqS)ra˜ Dimensional reduction amounts for different wavelet families during wavelet transforms Each tuple (rows, cols) represents the reduction in matrix dimensions that occurs when applying wavelet decomposition/reconstruction due to boundary effects and filter sizes. These values are used to pre-pad matrices before wavelet processing to ensure the reconstructed matrix maintains the original target dimensions. Údb1)érÚdb2)érÚdb3)érÚdb4)érÚdb5)ér Údb6)é r Údb7)é rÚdb8)érÚdb9)érÚdb10)érÚdb11)érÚdb12)érÚdb13)érÚdb14)érÚdb15)érÚdb16)ér Údb17)é r"Údb18)é"r$Údb19)é$r&Údb20)é&r(Údb21)é(r*Údb22)é*r,Údb23)é,r.Údb24)é.r0Údb25)é0r2Údb26)é2r4Údb27)é4r6Údb28)é6r8Údb29)é8r:Údb30)é:r<Údb31)é<r>Údb32)é>r@Údb33)é@rBÚdb34)éBrDÚdb35)éDrFÚdb36)éFrHÚdb37)éHrJÚdb38)éJrLÚsym2Úsym3Úsym4Úsym5Úsym6Úsym7Úsym8Úsym9Úsym10Úsym11Úsym12Úsym13Úsym14Úsym15Úsym16Úsym17Úsym18Úsym19Úsym20Úcoif1Úcoif2Úcoif3Úcoif4Úcoif5Úcoif6Úcoif7Úcoif8Úcoif9Úcoif10Úcoif11)éLrk)éRrl)éXrm)é^rn)édro)Úcoif12Úcoif13Úcoif14Úcoif15Úcoif16Úcoif17N)Ú__doc__ÚWAVELET_REDUCTIONS©rxrxúP/home/ubuntu/.local/lib/python3.10/site-packages/peft/tuners/waveft/constants.pyÚs" ÿþýüûúùø ÷ ö õ ô óòñðïîíìëêéèçæåäãâá à!ß"Þ#Ý$Ü%Û&Ú'Ù(Ø)×*Ö+Õ,Ô-Ó.Ò/Ñ0Ð1Ï2Î3Í4Ì5Ë6Ê7É8È9Ç:Æ;Å<Ä=Ã>Â?Á@ÀA¿B¾C½D¼E ¶