
    cCia                     n   S SK JrJrJr  S SKrS SKJr  SSKJr  SSK	J
r
Jr  SSKJr  SSKJrJr  SSKJr  SS	KJr  SS
KJrJr  SSKJrJr  SSKJrJr  SSKJr  SSK J!r!J"r"J#r#J$r$  SSK%J&r&  SSK'J(r(  SSK)J*r*  \$RV                  " \,5      r- " S S\R\                  5      r/ " S S\R\                  5      r0S r1S3S jr2S\Rf                  S\4S\Rf                  4S jr5   S4S\R\                  S\Rf                  S\Rf                  S \Rf                  S!\\Rf                     S"\6S#\\6   S$\\6   S\7\Rf                  \Rf                  4   4S% jjr8 " S& S'\R\                  5      r9 " S( S)\5      r: " S* S+\R\                  5      r;\" " S, S-\5      5       r<\" " S. S/\<5      5       r=\" " S0 S1\<\5      5       r>/ S2Qr?g)5    )CallableOptionalUnionN   )ACT2FN)CacheDynamicCache)GenerationMixin)create_causal_mask!create_sliding_window_causal_mask)FlashAttentionKwargs)GradientCheckpointingLayer)BaseModelOutputWithPastCausalLMOutputWithPast)ROPE_INIT_FUNCTIONSdynamic_rope_update)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)TransformersKwargsauto_docstringcan_return_tuplelogging)deprecate_kwarg)check_model_inputs   )VaultGemmaConfigc                   J   ^  \ rS rSrS	S\S\4U 4S jjjrS rS rS r	Sr
U =r$ )
VaultGemmaRMSNorm.   dimepsc                    > [         TU ]  5         X l        [        R                  " [
        R                  " U5      5      U l        g N)super__init__r"   nn	Parametertorchzerosweight)selfr!   r"   	__class__s      l/home/james-whalen/.local/lib/python3.13/site-packages/transformers/models/vaultgemma/modeling_vaultgemma.pyr&   VaultGemmaRMSNorm.__init__/   s,    ll5;;s#34    c                     U[         R                  " UR                  S5      R                  SSS9U R                  -   5      -  $ )N   T)keepdim)r)   rsqrtpowmeanr"   )r,   xs     r.   _normVaultGemmaRMSNorm._norm4   s4    5;;quuQx}}R}>IJJJr0   c                     U R                  UR                  5       5      nUSU R                  R                  5       -   -  nUR                  U5      $ )Ng      ?)r9   floatr+   type_as)r,   r8   outputs      r.   forwardVaultGemmaRMSNorm.forward7   sC    AGGI& 3!2!2!445~~a  r0   c                 ^    [        U R                  R                  5       SU R                   3$ )Nz, eps=)tupler+   shaper"   )r,   s    r.   
extra_reprVaultGemmaRMSNorm.extra_repr>   s'    ))*+6$((<<r0   )r"   r+   )gư>)__name__
__module____qualname____firstlineno__intr<   r&   r9   r?   rD   __static_attributes____classcell__r-   s   @r.   r   r   .   s0    5C 5e 5 5
K!= =r0   r   c                   .   ^  \ rS rSrU 4S jrS rSrU =r$ )VaultGemmaMLPB   c                   > [         TU ]  5         Xl        UR                  U l        UR                  U l        [
        R                  " U R                  U R                  SS9U l        [
        R                  " U R                  U R                  SS9U l        [
        R                  " U R                  U R                  SS9U l	        [        UR                     U l        g NFbias)r%   r&   confighidden_sizeintermediate_sizer'   Linear	gate_projup_proj	down_projr   hidden_activationact_fnr,   rU   r-   s     r.   r&   VaultGemmaMLP.__init__C   s    !--!'!9!94#3#3T5K5KRWXyy!1!143I3IPUV4#9#94;K;KRWXV556r0   c                     U R                  U R                  U R                  U5      5      U R                  U5      -  5      nU$ r$   )r[   r]   rY   rZ   )r,   r8   r[   s      r.   r?   VaultGemmaMLP.forwardM   s6    NN4;;t~~a/@#ADLLQRO#ST	r0   )r]   rU   r[   rY   rV   rW   rZ   )rF   rG   rH   rI   r&   r?   rK   rL   rM   s   @r.   rO   rO   B   s    7 r0   rO   c                     U SSU R                   S   S-  24   nU SU R                   S   S-  S24   n[        R                  " U* U4SS9$ )z*Rotates half the hidden dims of the input..Nr3   r2   r!   )rC   r)   cat)r8   x1x2s      r.   rotate_halfrg   R   sZ    	
3"!''"+"""	#B	
3q ""	#B99rc2YB''r0   c                     UR                  U5      nUR                  U5      nX-  [        U 5      U-  -   nX-  [        U5      U-  -   nXg4$ )a  Applies Rotary Position Embedding to the query and key tensors.

Args:
    q (`torch.Tensor`): The query tensor.
    k (`torch.Tensor`): The key tensor.
    cos (`torch.Tensor`): The cosine part of the rotary embedding.
    sin (`torch.Tensor`): The sine part of the rotary embedding.
    position_ids (`torch.Tensor`, *optional*):
        Deprecated and unused.
    unsqueeze_dim (`int`, *optional*, defaults to 1):
        The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and
        sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note
        that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and
        k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes
        cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have
        the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2.
Returns:
    `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding.
)	unsqueezerg   )qkcossinposition_idsunsqueeze_dimq_embedk_embeds           r.   apply_rotary_pos_embrr   Y   sS    ( --
&C
--
&Cw;q>C/0Gw;q>C/0Gr0   hidden_statesn_repreturnc                     U R                   u  p#pEUS:X  a  U $ U SS2SS2SSS2SS24   R                  X#XU5      n U R                  X#U-  XE5      $ )z
This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch,
num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim)
r   N)rC   expandreshape)rs   rt   batchnum_key_value_headsslenhead_dims         r.   	repeat_kvr}   t   s_    
 2?1D1D.Ez!!Qa"23::5W\dlmM  e(CTTTr0   modulequerykeyvalueattention_maskdropoutscalingsoftcapc                    Uc  U R                   S-  n[        X R                  5      n	[        X0R                  5      n
[        R                  " XR                  SS5      5      U-  nUb  X-  n[        R                  " U5      nX-  nUb"  US S 2S S 2S S 2S U	R                  S   24   nX-   n[        R                  R                  US[        R                  S9R                  UR                  5      n[        R                  R                  XU R                  S9n[        R                  " X5      nUR                  SS5      R!                  5       nX4$ )	N      r2   r   r3   )r!   dtype)ptrainingr   )r|   r}   num_key_value_groupsr)   matmul	transposetanhrC   r'   
functionalsoftmaxfloat32tor   r   r   
contiguous)r~   r   r   r   r   r   r   r   kwargs
key_statesvalue_statesattn_weightscausal_maskattn_outputs                 r.   eager_attention_forwardr      s/    //4'3 ; ;<JU$?$?@L<<';';Aq'ABWLL#-zz,/#-!$Q1.D
0@0@0D.D%DE#1 ==((2U]](SVVW\WbWbcL==((6??([L,,|:K''1-88:K$$r0   c                   \  ^  \ rS rSrSrS\S\4U 4S jjr\" SSSS	9  SS
\	R                  S\\	R                  \	R                  4   S\\	R                     S\\   S\\	R                     S\\   S\\	R                  \\	R                     \\\	R                        4   4S jj5       rSrU =r$ )VaultGemmaAttention   z=Multi-headed attention from 'Attention Is All You Need' paperrU   	layer_idxc                   > [         TU ]  5         Xl        X l        [	        USUR
                  UR                  -  5      U l        UR                  UR                  -  U l	        UR                  S-  U l        U R                  R                  U l        SU l        [        R                  " UR
                  UR                  U R                  -  UR                   S9U l        [        R                  " UR
                  UR                  U R                  -  UR                   S9U l        [        R                  " UR
                  UR                  U R                  -  UR                   S9U l        [        R                  " UR                  U R                  -  UR
                  UR                   S9U l        U R                  R*                  U l        UR,                  U   S:X  a  UR.                  U l        g S U l        g )Nr|   r   TrS   sliding_attention)r%   r&   rU   r   getattrrV   num_attention_headsr|   rz   r   query_pre_attn_scalarr   attention_dropout	is_causalr'   rX   attention_biasq_projk_projv_projo_projattn_logit_softcappinglayer_typessliding_windowr,   rU   r   r-   s      r.   r&   VaultGemmaAttention.__init__   s   "
F4F4F&JdJd4de$*$>$>&B\B\$\!33T9!%!>!>ii : :T]] JQWQfQf
 ii : :T]] JQWQfQf
 ii : :T]] JQWQfQf
 ii&&68J8JQWQfQf
 '+kk&H&H#7=7I7I)7TXk7kf33qur0   past_key_valuepast_key_values4.58new_nameversionrs   position_embeddingsr   cache_positionr   ru   c                 `   UR                   S S n/ UQSPU R                  P7nU R                  U5      R                  U5      R	                  SS5      n	U R                  U5      R                  U5      R	                  SS5      n
U R                  U5      R                  U5      R	                  SS5      nUu  p[        XX5      u  pUb$  XUS.nUR                  XU R                  U5      u  p[        nU R                  R                  S:w  a  [        U R                  R                     nU" U U	U
UU4U R                  (       a  U R                  OSU R                   U R"                  U R$                  S.UD6u  nnUR&                  " / UQSP76 R)                  5       nU R+                  U5      nUU4$ )Nr3   r   r2   )rm   rl   r   eager        )r   r   r   r   )rC   r|   r   viewr   r   r   rr   updater   r   rU   _attn_implementationr   r   r   r   r   r   rx   r   r   )r,   rs   r   r   r   r   r   input_shapehidden_shapequery_statesr   r   rl   rm   cache_kwargsattention_interfacer   r   s                     r.   r?   VaultGemmaAttention.forward   s    $))#2.88b8$--8{{=166|DNNqRST[[/44\BLLQPQR
{{=166|DNNqRST&#7RU#[ &#&nUL'6'='=jX\XfXfht'u$J(?;;++w6"9$++:Z:Z"[$7%
 /3mmD**LL..//%
 %
!\ "));;;;FFHkk+.L((r0   )r   r   rU   r|   r   r   r   r   r   r   r   r   r   )NN)rF   rG   rH   rI   __doc__r   rJ   r&   r   r)   TensorrB   r   r   
LongTensorr   r   r?   rK   rL   rM   s   @r.   r   r      s    Gv/ vC v2 %0A6R ,059+)||+) #5<<#=>+) !.	+)
 "%+) !!1!12+) -.+) 
u||Xell3XeELL>Q5RR	S+) S+)r0   r   c                     ^  \ rS rSrS\S\4U 4S jjr\" SSSS9      SS	\R                  S
\
\R                  \R                  4   S\\R                     S\\R                     S\\   S\\   S\\   S\\R                     S\
\R                  \\
\R                  \R                  4      4   4S jj5       rSrU =r$ )VaultGemmaDecoderLayer   rU   r   c                 @  > [         TU ]  5         UR                  U l        Xl        UR                  U   U l        [        XS9U l        [        U5      U l	        [        UR                  UR                  S9U l        [        UR                  UR                  S9U l        g )N)rU   r   r"   )r%   r&   rV   rU   r   attention_typer   	self_attnrO   mlpr   rms_norm_epsinput_layernormpre_feedforward_layernormr   s      r.   r&   VaultGemmaDecoderLayer.__init__   s    !--$00;,FP (01C1CI\I\]):6;M;MSYSfSf)g&r0   r   r   r   r   rs   r   r   rn   output_attentions	use_cacher   ru   c	                     Un
U R                  U5      nU R                  " SUUUUUUUUS.U	D6u  pX-   nUn
U R                  U5      nU R                  U5      nX-   nU4nU(       a  X4-  nU$ )N)rs   r   r   rn   r   r   r   r    )r   r   r   r   )r,   rs   r   r   rn   r   r   r   r   r   residualself_attn_weightsoutputss                r.   r?   VaultGemmaDecoderLayer.forward   s     !,,];+/>> 
,
' 3)%+/)
,
 
,
( !0 66}E/ 0 "++Gr0   )r   rU   rV   r   r   r   r   )NNNFFN)rF   rG   rH   rI   r   rJ   r&   r   r)   r   rB   r   r   r   boolFloatTensorr?   rK   rL   rM   s   @r.   r   r      s   	h/ 	hC 	h %0A6R
 2637+/,1$)59%||% #5<<#=>% !.	%
 u//0% "%% $D>% D>% !!1!12% 
u  (51B1BEDUDU1U+V"WW	X% S%r0   r   c                      ^  \ rS rSr% \R
                  \S'   SS\4U 4S jjjr\R                  " 5       \
S 5       5       rSrU =r$ )VaultGemmaRotaryEmbeddingi#  inv_freqrU   c                   > [         TU ]  5         [        US5      (       aZ  [        UR                  [
        5      (       a;  UR                  R                  SUR                  R                  S5      5      U l        OSU l        UR                  U l	        UR                  U l
        Xl        [        U R                     U l        U R                  U R                  U5      u  o0l        U R                  SUSS9  U R                   U l        g )Nrope_scaling	rope_typetypedefaultr   F)
persistent)r%   r&   hasattr
isinstancer   dictgetr   max_position_embeddingsmax_seq_len_cachedoriginal_max_seq_lenrU   r   rope_init_fnattention_scalingregister_bufferr   original_inv_freq)r,   rU   devicer   r-   s       r.   r&   "VaultGemmaRotaryEmbedding.__init__&  s    6>**z&:M:Mt/T/T#0044[&BUBUBYBYZ`BabDN&DN"("@"@$*$B$B!/?+/+<+<T[[&+Q((ZeD!%r0   c                 b   U R                   S S S 2S 4   R                  5       R                  UR                  S   SS5      R	                  UR
                  5      nUS S 2S S S 24   R                  5       n[        UR
                  R                  [        5      (       a0  UR
                  R                  S:w  a  UR
                  R                  OSn[        R                  " USS9   UR                  5       UR                  5       -  R                  SS5      n[        R                  " Xf4SS	9nUR                  5       U R                  -  nUR                  5       U R                  -  n	S S S 5        WR	                  UR                   S
9W	R	                  UR                   S
94$ ! , (       d  f       N@= f)Nr   r3   r   mpscpuF)device_typeenabledr2   rc   r   )r   r<   rw   rC   r   r   r   r   strr)   autocastr   rd   rl   r   rm   r   )
r,   r8   rn   inv_freq_expandedposition_ids_expandedr   freqsembrl   rm   s
             r.   r?   !VaultGemmaRotaryEmbedding.forward7  sR    !MM$4-8>>@GGHZHZ[\H]_acdehhijiqiqr ,QaZ 8 > > @'1!((--'E'E!((--[`J`ahhmmfk^^UC&,,.1F1L1L1NNYYZ[]^_E))UN3C'')d444C'')d444C	 D vvAGGv$cff177f&;;; DCs   $BF  
F.)r   rU   r   r   r   r   r   r$   )rF   rG   rH   rI   r)   r   __annotations__r   r&   no_gradr   r?   rK   rL   rM   s   @r.   r   r   #  sA    ll// / /" ]]_<  <r0   r   c                   f   ^  \ rS rSr% \\S'   SrSrS/rS/r	Sr
SrSrSrSr\\S.rU 4S jrS	rU =r$ )
VaultGemmaPreTrainedModeliG  rU   modelTr   r   )rs   
attentionsc                    > [         TU ]  U5        SUR                  R                  ;   a%  UR                  R
                  R                  5         g g )NRMSNorm)r%   _init_weightsr-   rF   r+   datazero_)r,   r~   r-   s     r.   r	  'VaultGemmaPreTrainedModel._init_weightsY  sA    f% ((111MM$$& 2r0   r   )rF   rG   rH   rI   r   r  base_model_prefixsupports_gradient_checkpointing_no_split_modules_skip_keys_device_placement_supports_flash_attn_supports_sdpa_supports_flex_attn_can_compile_fullgraph_supports_attention_backendr   r   _can_record_outputsr	  rK   rL   rM   s   @r.   r  r  G  s\    &*#12#4"5N!"&/)
' 'r0   r  c                   :  ^  \ rS rSrS\4U 4S jjr\" 5       \         SS\\	R                     S\\	R                     S\\	R                     S\\   S\\	R                     S	\\   S
\\   S\\   S\\	R                     S\\   S\4S jj5       5       rSrU =r$ )VaultGemmaModelia  rU   c           	        > [         TU ]  U5        UR                  U l        UR                  U l        [
        R                  " UR                  UR                  U R                  5      U l        [
        R                  " [        UR                  5       Vs/ s H  n[        X5      PM     sn5      U l        [        UR                  UR                  S9U l        [#        US9U l        SU l        U R)                  5         g s  snf )Nr   rU   F)r%   r&   pad_token_idpadding_idx
vocab_sizer'   	EmbeddingrV   embed_tokens
ModuleListrangenum_hidden_layersr   layersr   r   normr   
rotary_embgradient_checkpointing	post_initr   s      r.   r&   VaultGemmaModel.__init__c  s     !.. ++LL):):F<N<NPTP`P`ammHMfNfNfHghHg9#F6Hgh
 &f&8&8f>Q>QR	36B&+# 	 is   C?	input_idsr   rn   r   inputs_embedsr   r   output_hidden_statesr   r   ru   c
                    Ub  UOU R                   R                  nUb  UOU R                   R                  nUb  UOU R                   R                  nUS L US L-  (       a  [	        S5      eU R
                  (       a/  U R                  (       a  U(       a  [        R                  S5        SnUc  U R                  U5      nU(       a'  Uc$  U R                  (       d  [        U R                   S9nU	cD  Ub  UR                  5       OSn[        R                  " XUR                  S   -   UR                  S9n	Uc  U	R!                  S5      n[#        U=n[$        5      (       d*  U R                   UUU	UUS.n['        S0 UD6[)        S0 UD6S	.nUnU R+                  X5      n[        R,                  " U R                   R.                  S
-  UR0                  S9nUU-  nU(       a  SOS nU(       a  SOS nU R2                  S U R                   R4                    HE  nU(       a  UU4-  nU" U4UUUR6                     UUUUU	S.U
D6nUS   nU(       d  M<  UUS   4-  nMG     U R9                  U5      nU(       a  UU4-  n[;        UUUUS9$ )Nz:You must specify exactly one of input_ids or inputs_embedszX`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.Fr  r   r   )r   )rU   input_embedsr   r   r   rn   )full_attentionr   g      ?r   r   )r   r   rn   r   r   r   r   )last_hidden_stater   rs   r  )rU   r   r+  r   
ValueErrorr&  r   loggerwarning_oncer  r	   get_seq_lengthr)   arangerC   r   ri   r   r   r   r   r%  tensorrV   r   r#  r"  r   r$  r   )r,   r)  r   rn   r   r*  r   r   r+  r   r   past_seen_tokenscausal_mask_mappingmask_kwargsrs   r   
normalizerall_hidden_statesall_self_attnsdecoder_layerlayer_outputss                        r.   r?   VaultGemmaModel.forwards  s    2C1N-TXT_T_TqTq$8$D $++JjJj 	 "+!6IDKK<Q<Q	-t";<YZZ&&4==Yj I  --i8M0*$++>O!CRC^==?de"\\ ]5H5H5K"KTaThThN )33A6L ?-FF ++ -"0"0#2 ,K #5"C{"C%F%U%U# & #oomJ
 \\$++"9"93">mFYFYZ
%
2 #7BD0d![[)H4;;+H+HIM#!m%55!)
$72=3O3OP) /"3#-
 
M *!,M  =#3"55' J* 		-0-!11&+++%	
 	
r0   )r  r&  r#  r$  r  r%  r  )	NNNNNNNNN)rF   rG   rH   rI   r   r&   r   r   r   r)   r   r   r   r   r   r   r   r   r?   rK   rL   rM   s   @r.   r  r  a  s   /    151537+/59$(,0/359k
E,,-k
 !.k
 u//0	k

 "%k
   1 12k
 D>k
 $D>k
 'tnk
 !!1!12k
 +,k
 
!k
  k
r0   r  c                     ^  \ rS rSrS/rSS0rSS/S/40rU 4S jr\\	           SS\
\R                     S	\
\R                     S
\
\R                     S\
\   S\
\R                     S\
\R                     S\
\   S\
\   S\
\   S\
\R                     S\\\R                  4   S\4S jj5       5       rSrU =r$ )VaultGemmaForCausalLMi  zlm_head.weightlm_headcolwise_reprs   logitsc                    > [         TU ]  U5        [        U5      U l        UR                  U l        [
        R                  " UR                  UR                  SS9U l        U R                  5         g rR   )
r%   r&   r  r  r  r'   rX   rV   rA  r'  r^   s     r.   r&   VaultGemmaForCausalLM.__init__  sU     $V,
 ++yy!3!3V5F5FUS 	r0   r)  r   rn   r   r*  labelsr   r   r+  r   logits_to_keepru   c                    Ub  UOU R                   R                  nU	b  U	OU R                   R                  n	U R                  " SUUUUUUUU	U
S.	UD6nUR                  n[        U[        5      (       a  [        U* S5      OUnU R                  USS2USS24   5      nU R                   R                  bH  UU R                   R                  -  n[        R                  " U5      nUU R                   R                  -  nSnUb  U R                  " UX`R                  40 UD6n[        UUUR                  UR                   UR"                  S9$ )a*  
Example:

```python
>>> from transformers import AutoTokenizer, VaultGemmaForCausalLM

>>> model = VaultGemmaForCausalLM.from_pretrained("google/gemma-2-9b")
>>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")

>>> prompt = "What is your favorite condiment?"
>>> inputs = tokenizer(prompt, return_tensors="pt")

>>> # Generate
>>> generate_ids = model.generate(inputs.input_ids, max_length=30)
>>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
"What is your favorite condiment?"
```N)	r)  r   rn   r   r*  r   r   r+  r   )lossrC  r   rs   r  r   )rU   r   r+  r  r/  r   rJ   slicerA  final_logit_softcappingr)   r   loss_functionr  r   r   rs   r  )r,   r)  r   rn   r   r*  rF  r   r   r+  r   rG  r   r   rs   slice_indicesrC  rI  s                     r.   r?   VaultGemmaForCausalLM.forward  sT   F 2C1N-TXT_T_TqTq$8$D $++JjJj 	 ,0:: ,
)%+'/!5),
 ,
  118B>SV8W8W~ot4]kmA}a,?@A;;..:dkkAAAFZZ'FdkkAAAF%%ffooPPD%#33!//))
 	
r0   )rA  r  r  )NNNNNNNNNNr   )rF   rG   rH   rI   _tied_weights_keys_tp_plan_pp_planr&   r   r   r   r)   r   r   r   r   r   r   rJ   r   r?   rK   rL   rM   s   @r.   r@  r@    sP   *+=)H_-z:;H  151537+/59-1$(,0/35934F
E,,-F
 !.F
 u//0	F

 "%F
   1 12F
 ))*F
 D>F
 $D>F
 'tnF
 !!1!12F
 c5<</0F
 
 F
  F
r0   r@  )r@  r  r  )Nr   )r   NN)@typingr   r   r   r)   torch.nnr'   activationsr   cache_utilsr   r	   
generationr
   masking_utilsr   r   modeling_flash_attention_utilsr   modeling_layersr   modeling_outputsr   r   modeling_rope_utilsr   r   modeling_utilsr   r   processing_utilsr   utilsr   r   r   r   utils.deprecationr   utils.genericr   configuration_vaultgemmar   
get_loggerrF   r1  Moduler   rO   rg   rr   r   rJ   r}   r<   rB   r   r   r   r   r  r  r@  __all__r   r0   r.   <module>re     s  , - ,   ! . ) R B 9 O K F & R R 0 / 6 
		H	%=		 =(BII  (6	UU\\ 	U# 	U%,, 	U$ ## %II %<< % 
 % <<	 %
 U\\* %  % e_ % e_ % 5<<%& %FH)")) H)V27 2j!<		 !<H ' ' '2 ~
/ ~
 ~
B V
5 V
 V
r Tr0   