PiXddlZddlmZddlmZddlZddlmZddl mZ ej ddd Z ej dd Zejjej d dd d dedeejefdedede jdejf dZee_dS)N)partial)util)Unioncdfd S)Nint32c |||S)Ndtype)exprs_inexpr_outbackendr cs b/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/einx/op/arange.pyz.. s"qq(%PPP)Nrr trs `rrr sr)tracerc ttrtj|D]5}t|tjjjrtd6||fD]L}|D]5}t|tjjj rtd6Md|D}t|dkrtdt|t|dkr |dj nd tj|gd}tj|gd} fd}tjj||} tjj| } tjd|Dfd |D| g \\} } tj|g| g|g \} | tjj|fS) Nz&Marker in input expression not allowedzConcatenation not allowedcg|]L}t|tjjj&tjj|J|MSr ) isinstanceeinxexprstage3Axis is_marked.0rs r z!arange_stage3..s^  dDI,1 2 28.replace..'s:33334  %%dA..333r) rrrrrr Concatenationrange Composition)rndims rreplacezarange_stage3..replace%s dDI,1 2 2 ty7G7Q7QRV7W7W 9#11338=d 333D9#//55DK     rc6g|]}|Sr ) __deepcopy__)r axiss rr!z!arange_stage3..1s$111    111rcHg|]}|jS)r )arangevalue)r r-rr s rr!z!arange_stage3..2s+EEET % 0 0EEEr)r)rstrrrgetallrrMarker ValueErrorr&lenr0rflattenr*demarkrearrange_stage3 unflatten) expr_inrrr rroot marked_axes expr_out_flatr*expr_out_flat_withconcattensorr%r)s `` @r arange_stage3rA sp '3,,""7++ GG dDI,3 4 4 GEFF F G(#>>HHJJ > >D$ 0 >?? > !<=== > >LLNNK  ;!T#kBRBRTTUUU#&{#3#3q#8#8;q>  aDlG9%%a(GL(,,Q/M $y/77 wOO#y/667OPP(11111EEEEEWEEE !" LIVq      IV 49#**844 44rTc tjj||\}}tjj|}t|dkr}tjjtjj tjj |ddg|dg}t|ddkr%tdt|dt|ddkr%tdt|dtjj tjj |ddfd}tjtj|ddgtj|ddgzd|Dz||dd\}}||fS) Nrrz%Expected 1 input expression, but got z&Expected 1 output expression, but got cr|d}d|D}d|D}t|dkrtdt|t|t|z }tjt j|ggS)Nrcg|]>}t|tjjjtjjjf<|?Sr )rrrstage2 NamedAxis UnnamedAxisrs rr!z/parse..after_stage2..^sM   $!1!;TY=M=Y Z[[    rcZg|](}tjj|&|)Sr )rrrErrs rr!z/parse..after_stage2..cs1YYYD 8H8R8RSW8X8XY4YYYrr")r3r6r5rrEquationnpasarray)exprs1exprs2rout_axesmarked_out_axesr)marked_expr_outs r after_stage2zparse..after_stage2\s!9       ZYHYYY   ! # #\c/FZFZ\\]] ]8}}s?333 ""?BJv4F4FGGHHrcg|]L\}}tj|tj|dtjfddMS).N)depth1depth2)rrrIrJrKnewaxis)r kvs rr!zparse..lsY   1 I  q"*Q--RZ"@VZ  [ [   r)cserQ)ropr!_clean_description_and_parametersrstage1parse_opr6OpArgs get_unmarkedr5r( get_markedsolverIitems) descriptionrX parametersrZrQr;rrPs @rparserfDs"glLLZK   " "; / /B 2ww!|| Y    %%ty'7'D'DRU1X'N'N&OPP1    2a5zzQMRUMMNNN 2a5zzQN#be**NNOOOi&22493C3N3NrRSuUVx3X3XYYO I I I I I    BqE!H % %& 9  beAh ' ' ( )  "((**    !(   qb  GX H rcdfd S)Nc|fi|SNr )rdrkwargsrs rrz..xs;IaIaZ`IaIarrir rs `rrrxsaaaaar)r rXrdrr rXrereturnc Vt|fd|i|\}}t||||\}}|S)an-dimensional ``arange`` operation. *This function might be removed in a future version.* Runs ``arange`` for every axis in ``input``, and stacks the results along the single marked axis in ``output``. Always uses ``start=0`` and ``step=1``. The `description` argument must meet one of the following formats: 1. ``input -> output`` Runs ``backend.arange`` for every axis in ``input``, and stacks the results along the marked axis in ``output``. The values are stacked in the order that the axes appear in ``input``. 2. ``output`` Implicitly determines the input expression by removing the marked axis from ``output``. Example: ``a b [2]`` resolves to ``a b -> a b [2]`` Args: description: Description string in Einstein notation (see above). backend: Backend to use for all operations. cse: Whether to apply common subexpression elimination to the expressions. Defaults to True. graph: Whether to return the graph representation of the operation instead of computing the result. Defaults to False. **parameters: Additional parameters that specify values for single axes, e.g. ``a=4``. Returns: The result of the n-dimensional arange operation if `graph=False`, otherwise the graph representation of the operation. Examples: Arange two-dimensional coordinates: >>> tensor = einx.arange("a b [2]", a=5, b=6, backend="numpy") >>> tensor.shape (5, 6, 2) >>> tensor[2, 3] array([2, 3], dtype=int32) Arange two-dimensional coordinates with inverted coordinates (`Cartesian ordering `_: First axis of tensor corresponds to second coordinate along stacked axis and vice versa.): >>> tensor = einx.arange("a b -> b a [2]", a=5, b=6, backend="numpy") >>> tensor.shape (6, 5, 2) >>> tensor[2, 3] array([3, 2], dtype=int32) Arange one-dimensional coordinates: >>> einx.arange("a", a=5, backend="numpy").shape (5,) rX)rr )rfrA)rdrr rXrer;rr@s rr/r/wsDDkAAsAjAAGX$WhuUUUFH Mr)r)T)r functoolsrrnumpyrJtypingr numpy.typingnptjitrA lru_cacherftraceback_utilfilterr1Backendbool ArrayLikeTensorr/r rrr{s     353535  35l////d aabbb  BBBB4<$ %B  B  B - B [BBBcbBJ r