AVhntdZddlZddlZddlZddlmZddlmZddlm Z ddl m Z dgZ dZ d Zd Zd Zd Zy) z/Utilities for slicing in to a `LinearOperator`.N)dtypes) tensor_util) array_ops)nest batch_slicec|||g}|Dcgc]}tj|}}td|Dr|\}}}tj|||St j|||Scc}w)Nc3$K|]}|du ywN).0args T/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/ops/linalg/slicing.py z'_prefer_static_where.."s2SD2s)rconstant_valueallnpwherer) conditionxyargsa constant_args condition_x_y_s r_prefer_static_wherersr Q $:>?Q;--a0?-?2M22&JB 88JB '' Aq )) @sA.c $t|dri}|jjD]E\}}t||}t j |t jt|||||<Gt|jfi|}t|di|Stj|tj|gtj gd}tj"|tj$|tj&|S)z;Broadcasts `param` with the given batch shape, recursively.batch_shape_tensor) batch_shape)dtyper)axisr )hasattr-_experimental_parameter_ndims_to_matrix_ndimsitemsgetattrrmap_structure_up_to functoolspartial%_broadcast_parameter_with_batch_shapedict parameterstyperconcatonesrint32 broadcast_tobroadcast_dynamic_shapeshape) paramparam_ndims_to_matrix_ndimsr override_dictnamendims sub_paramr, base_shapes rr*r*(s U()MJJPPR: e%&i 44 Y&&3%'(15:mD: e&&8-8J 4; $ $$INN & 'v||=>DEG*    '' IOOE4JK MMc,g}d}|D] }|turN|dkrtdj|td||j tdzdD}| }n|t j urn||||kD}t|tr_|j|j|j} } }| t|d|}| t|d| } | t|d| } t|| | }n t|d|}|dz }|j| |S)aRestricts slices to avoid overflowing size-1 (broadcast) dimensions. Args: slices: iterable of slices received by `__getitem__`. intended_shape: int `Tensor` shape for which the slices were intended. deficient_shape: int `Tensor` shape to which the slices will be applied. Must have the same rank as `intended_shape`. Returns: sanitized_slices: Python `list` of slice objects. rz!Found multiple `...` in slices {}c3@K|]}|tjuywr )rnewaxis)r ss rrz#_sanitize_slices..Ps -,)*!9$$ $-,sN)Ellipsis ValueErrorformatsumindexrr> isinstanceslicestartstopsteprappend) slicesintended_shapedeficient_shapesanitized_slicesidxslc num_remaining_non_newaxis_slices is_broadcastrHrIrJs r_sanitize_slicesrT?s= # !c h q<CCFKLL),-,.4ll8$q()/+-,*,&. -c !! ! #C(?3+??l C IIsxxTt  &|Q>%  %lAt<$  %lAt<$E4&"<C8 QhcC 3!4 r;ct||tj|}t|dr|j }ntj |}tj |}|d||z }tjtj |dk7r-tjtj |dk(r|St|||}|dkDrSt|Dcgc]}tj|r|c}vr|jt|tdg|zz }|jt|Scc}w)aSlices into the batch shape of a single parameter. Args: param: The original parameter to slice; either a `Tensor` or an object with batch shape (LinearOperator). param_ndims_to_matrix_ndims: `int` number of right-most dimensions used for inferring matrix shape of the `LinearOperator`. For non-Tensor parameters, this is the number of this param's batch dimensions used by the matrix shape of the parent object. slices: iterable of slices received by `__getitem__`. batch_shape: The parameterized object's batch shape `Tensor`. Returns: new_param: Instance of the same type as `param`, batch-sliced according to `slices`. rNr)rMrN)r*r ones_liker#rr3sizerrrTrA is_tensorrKrG __getitem__tuple)r4r5rLr param_batch_shapeparam_batch_rank param_slicesrQs r_slice_single_paramr^is<& 0 ()*=*=k*J L% U()002!.^^$56'7669    !<=B  0A!BCqH L! [:KM, !1$A[%:%:3%?AA(#U4[M$???L   5. // As $E?Ec t|tjjs|f}t |dk(r|dt uri}nx|j }i}|jjD]I\}}t||}|tj|tjt||||||<K|j|t!|j"fi|}t%|di|S)a[Slices `linop` along its batch dimensions. Args: linop: A `LinearOperator` instance. params_overrides: A `dict` of parameter overrides. slices: A `slice` or `int` or `int` `Tensor` or `tf.newaxis` or `tuple` thereof. (e.g. the argument of a `__getitem__` method). Returns: new_linop: A batch-sliced `LinearOperator`. r@r)rLr r )rF collectionsabcSequencelenrArr$r%r&rr'r(r)r^updater+r,r-) linopparams_overridesrLr6r param_namer5r4r,s rrrs FKOO44 5YF[A&)x/M**,KM383f3f3l3l3n0/ /eZ(e  $($<$< 9$$#F M .%0 j! 0'(E$$6 6* e "z ""r;)__doc__r`r(numpyrtensorflow.python.frameworkrrtensorflow.python.opsrtensorflow.python.utilr__all__rr*rTr^rr r;rrnsD6.3+' /*M.'T/0d#r;