ȅi`~SSKJr SSKJrJrJr \(aSSKJr SSKrSSK J r J r J r S S Sjjr S Sjrg) ) annotations)Any TYPE_CHECKINGUnion)SequenceN) _match_levelsDimEntryndim_of_levelscSSKJn UcU(a [5$[X5(a [U5$[U[5(aUS:aUnOX- n[U5$[5$)a Convert various dimension representations to DimEntry. Args: arg: The argument to convert (Dim, int, or other) orig_ndim: Original number of dimensions allow_none: Whether to allow None values Returns: DimEntry representation of the dimension r)Dimr)r r isinstanceint)arg orig_ndim allow_noner poss N/home/james-whalen/.local/lib/python3.13/site-packages/functorch/dim/_order.py _wrap_dimrs] {zz C  } C   7C/C}zc2^^^ SSKJnJnJn [ X5(a(UR SSnUR nURnO:[ X5(a[U5/nUR5nSnO [S5e/m/nUSSm[T5m S UUU 4Sjjn Sn UHn [U T S5n U R5(dU "U 5 U S- n M4[ X5(a+U RHn U "[U 55 U S- n M MoU S- n [U S5(d [S 5e[!U 5nUR#[%T5[%U545 UH8n[UT S5n U R5(a [S 5eU "U 5 M: GM S n/nTHbnUR5(aMUR'5(a"US :Xa[%U5nUR)T5 UR#U5 Md US :Xa[%U5nUR)T5 UcS 5e[+XeU5nU(GaS/nUR-5n[/U5HnUR#UU5 M SnUHhunnUU:a$UR#UUU-5 US- nUU:aM$Sn[/U5HnUUUU-U--nM UR#U5 UU- nMj U[%T5:a-UR#UUU-5 US- nU[%T5:aM-[/U[%T5-[%T55HnUR#UU5 M [%T5U - nUS:aUSUUUU-S-nUR1U5nSn[/[%U5S- S S 5HAnUUR'5(dUU:dM#UUU -:dM.US-n[U5UU'MC UR3UUU5nU$)a Reorder the dimensions of a tensor or create a tensor from a dimension. It allows reordering tensor dimensions using first-class dimensions and positional indices. Args: tensor_or_dim: Input tensor with first-class dimensions, or a Dim object *dims: Dimensions or sequences of dimensions specifying the new order Returns: Tensor with reordered dimensions Examples: >>> import torch >>> from functorch.dim import dims >>> batch, channel, height, width = dims(4) >>> x = torch.randn(2, 3, 4, 5)[batch, channel, height, width] >>> # Reorder to [height, width, batch, channel] >>> y = order(x, height, width, batch, channel) r)r DimListTensorNFz-First argument must be a Tensor or Dim objectc:>TRU5nUcUUR5(a#[STSUR5T-S35e[SUR 5S35e[ 5TU'TR U5 g![a SnNf=f)zEAdd a dimension to the reordering, removing it from available levels.Nz tensor has z positional dimensions, but z% specified, or it was specified twiceztensor does not contain dim z or it was specified twice)index ValueError is_positionalpositiondimr append)didxflat_positional_dimslevelsrs r append_dimorder..append_dimXs ,,q/C ;   !),HXaIaHbc01 !21557);UVjs ##A& C sB BBr__iter__z+expected a Dim, List[Dim], or Sequence[Dim]zexpected a Dim or intzCannot reorder None tensor)r"r returnNone)rr rrr_levels_tensor _has_devicer _get_rangerr ris_none_dimshasattrlistr!lenrextendr sizerangereshapefrom_positional)! tensor_or_dimdimsr rr orig_levelsdata has_device to_flattenr&n_new_positionalrentryr seqitem insert_point new_levelslevelndata view_shapesizesi start_idxlengthnew_sizej n_to_removeseenresultr$r%rs! @@@rorderrR*s:0'&-((#++A. $$".. M ' ' ./ '') HIIJ ^Fv&I''(#y%0}} u   !   % %yy8C=) A% !  ! 3 ++ !NOOs)C   s#78#c(C D!$ 59==??$%<==5! )6L!#J ==??     r!": !!"67% r: ./  999  $Z 8E  |$A   eAh '% !+ Ivi-!!% q(8"9:Qi- H6]E,"2Q"677#   h ' KA",#*++   eL1$45 6 FA#*++ |c*>&??VMA   eAh 'N./2BB ?=L)J|k7Q7S,TT  j) D 3z?Q&B / a= & & ( (  !l5E&E"E AID$TNJqM 0 # #E:z BF Mr)T)rrrrrboolr*r )r:zUnion[torch.Tensor, Any]r;zUnion[Any, Sequence[Any]]r*z torch.Tensor) __future__rtypingrrrcollections.abcrtorch _dim_entryr r r rrRrrrZsE",,( ??8l+l4Mllr