AVh dZddlZddlmZddlmZddlmZddlm Z ddl m Z ddlmZdd l mZdd l mZdd l mZdd lmZdd lmZddlmZddlmZm Z m!Z!ddl"m#Z#edZ$dgdfde#e!e$fde%de#e!e$ffdZ&edejNe&Z(de#e!e$fde%de#e!e$ffdZ)edZ*dgdfde#e!e*fde%de#e!e*ffdZ+edejNe+Z,de#e!e*fde%de#e!e*ffdZ-edZ.ddgddfde#e!e.fde%de%d e/de#e!e.ff d!Z0ed"ejNe0Z1de#e!e.fde%de%d e/de#e!e.ff d#Z2ed$Z3ddd%d%gd&ddfde#e!e3fd'e%d(e%d)e4d*e4d+e4d,e%de#e!e3ffd-Z5ed.ejNe5Z6de#e!e3fd'e%d(e%d)e4d*e4d+e4d,e%de#e!e3ffd/Z7ed0Z8ddddd%gddfde#e!e8fde%de%d1e%d2e/d3e4d e/de#e!e8ffd4Z9ed5ejNe9Z:de#e!e8fde%de%d1e%d2e/d3e4d e/de#e!e8ffd6Z;ed7Zed9ejNe>Z?de#e!eeBd?eBd@e/d e/de#e!ejffdAZDedBejNeDZEde#e!eAfde%de%d>eBd?eBd@e/d e/de#e!ejffdCZFedDdEdFZGedGZHe jd%d%dfde#e!eHfdHeGd*e4dIe4de#e!eGff dJZJedKejNeJZKde#e!eHfdHeGd*e4dIe4de#e!eGff dLZLy)MzUPython wrappers around TensorFlow ops. This file is MACHINE GENERATED! Do not edit. N) pywrap_tfe)context)core)execute)dtypes)annotation_types)op_def_registry)ops)op_def_library)deprecated_endpoints)dispatch) tf_export)TypeVarListAny) Annotated) TV_Copy_T_atypes.BFloat16 _atypes.Bool_atypes.Complex128_atypes.Complex64_atypes.Float16_atypes.Float32_atypes.Float64_atypes.Float8e4m3b11fnuz_atypes.Float8e4m3fn_atypes.Float8e4m3fnuz_atypes.Float8e5m2_atypes.Float8e5m2fnuz _atypes.Half _atypes.Int16 _atypes.Int32 _atypes.Int4 _atypes.Int64 _atypes.Int8_atypes.QInt16_atypes.QInt32 _atypes.QInt8_atypes.QUInt16_atypes.QUInt8_atypes.Resource_atypes.String_atypes.UInt16_atypes.UInt32 _atypes.UInt4_atypes.UInt64 _atypes.UInt8_atypes.Variantinput tensor_namereturnc tjxstj}|j}|jr t j |d||d|d|}|S|d}tj|d}|g}t|t t"fst%d|z|Dcgc]}tj|d}}t'j(d||||\} } } } | dd}tj*rYd | j-d d| j/dd| j/df} | j0} tj2d| | ||\}|S#t j$r }tj||Yd}~nd}~wt j$rYnwxYw t|||||S#t j$rYmwxYwcc}w) aXCopy a tensor from CPU-to-CPU or GPU-to-GPU. Performs CPU-to-CPU or GPU-to-GPU deep-copying of tensor, depending on the device on which the tensor is allocated. N.B.: If the all downstream attached debug ops are disabled given the current gRPC gating status, the output will simply forward the input tensor without deep-copying. See the documentation of Debug* ops for more details. Unlike the CopyHost Op, this op does not have HostMemory constraint on its input or output. Args: input: A `Tensor`. Input tensor. tensor_name: An optional `string`. Defaults to `""`. The name of the input tensor. debug_ops_spec: An optional list of `strings`. Defaults to `[]`. A list of debug op spec (op, url, gated_grpc) for attached debug ops. Each element of the list has the format ;;, wherein gated_grpc is boolean represented as 0/1. E.g., "DebugIdentity;grpc://foo:3333;1", "DebugIdentity;file:///tmp/tfdbg_1;0". name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Copyr5debug_ops_specNr5r9namectxr3AExpected list for 'debug_ops_spec' argument to 'copy' Op, not %r.r4r5r9r;T)_contextr_thread_local_datais_eagerrTFE_Py_FastPathExecute_core_NotOkStatusException_opsraise_from_not_ok_status_FallbackExceptioncopy_eager_fallback_SymbolicException_executemake_str isinstancelisttuple TypeError_op_def_library_apply_op_helpermust_record_gradient_get_attr_typeget_attrinputsrecord_gradientr4r5r9r;_ctxtld_resulte_s__op_outputs_attrs _inputs_flats S/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/ops/gen_debug_ops.pycopyrds6    0h..0$ #\\ 11 fdE=+.*gnK!!+}=+N NT5M 2  - . //GUUH%%b*:;U.U'88e-D:!QX QK' ""$3%%c*Mll=)+;ll+,.F::L  fg/ (' .C  & &- ##At,,  # #    [  # #   V6E$GF!-FF! F!%F55G  G z raw_ops.Copyc|d}tj|d}|g}t|ttfst d|z|Dcgc]}tj|d}}tj |g|g\}\}|g}d|d|d|f}tjdd||||} tjrtjd ||| | \} | Scc}w) Nr3r5r=r9r?sCopyrVattrsr<r;r8 rKrLrMrNrOrPargs_to_matching_eagerrrSrW r4r5r9r;r<r]_attr_Trbrar[s rcrIrIdsK!!+}=+N NT5M 2  - . //GUUH%%b*:;U.U55ugsBG'8E, -6F &   Wa F!$4 1' ""$  fg/ (' .VC) TV_CopyHost_Trrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2c tjxstj}|j}|jr t j |d||d|d|}|S|d}tj|d}|g}t|t t"fst%d|z|Dcgc]}tj|d}}t'j(d||||\} } } } | dd}tj*rYd | j-d d| j/dd| j/df} | j0} tj2d| | ||\}|S#t j$r }tj||Yd}~nd}~wt j$rYnwxYw t|||||S#t j$rYmwxYwcc}w) aCopy a tensor to host. Performs CPU-to-CPU deep-copying of tensor. N.B.: If the all downstream attached debug ops are disabled given the current gRPC gating status, the output will simply forward the input tensor without deep-copying. See the documentation of Debug* ops for more details. Unlike the Copy Op, this op has HostMemory constraint on its input or output. Args: input: A `Tensor`. Input tensor. tensor_name: An optional `string`. Defaults to `""`. The name of the input tensor. debug_ops_spec: An optional list of `strings`. Defaults to `[]`. A list of debug op spec (op, url, gated_grpc) for attached debug ops. Each element of the list has the format ;;, wherein gated_grpc is boolean represented as 0/1. E.g., "DebugIdentity;grpc://foo:3333;1", "DebugIdentity;file:///tmp/tfdbg_1;0". name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. CopyHostr5r9Nr:r3FExpected list for 'debug_ops_spec' argument to 'copy_host' Op, not %r.r>r?)r@rrArBrrCrDrErFrGrHcopy_host_eager_fallbackrJrKrLrMrNrOrPrQrRrSrTrUrVrWrXs rc copy_hostrt~s2    0h..0$ #\\ 11 j$}k.*gnK!!+}=+N NT5M 2  "$2 3 44GUUH%%b*:;U.U'88%[#1>!QX QK' ""$3%%c*Mll=)+;ll+,.F::L L&'3 (' .C  & &- ##At,,  # #    % [  # #   Vrezraw_ops.CopyHostc|d}tj|d}|g}t|ttfst d|z|Dcgc]}tj|d}}tj |g|g\}\}|g}d|d|d|f}tjdd||||} tjrtjd ||| | \} | Scc}w) Nr3r5rrr9r?sCopyHostrgrhrqrjrls rcrsrssK!!+}=+N NT5M 2  "$2 3 44GUUH%%b*:;U.U55ugsBG'8E, -6F &   [!L#)s ?' ""$ L&'3 (' .Vrn) TV_DebugIdentity_Trrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2F device_name gated_grpccdtjxstj}|j}|jr# t j |d||d|d|d|d| }|S|d}tj|d}|d}tj|d}|g}t|t t"fst%d |z|D cgc]} tj| d}} |d }tj&|d}t)j*d|||||| \} } } } | dd}tj,r{d | j/d d| j1dd| j1dd| j1dd| j3df }| j4}tj6d||||\}|S#t j$r } tj| |Yd} ~ nd} ~ wt j$rYnwxYw t|||||||S#t j$rYwxYwcc} w) aProvides an identity mapping of the non-Ref type input tensor for debugging. Provides an identity mapping of the non-Ref type input tensor for debugging. Args: input: A `Tensor`. Input tensor, non-Reference type device_name: An optional `string`. Defaults to `""`. Name of the device on which the tensor resides. tensor_name: An optional `string`. Defaults to `""`. Name of the input tensor. debug_urls: An optional list of `strings`. Defaults to `[]`. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011 gated_grpc: An optional `bool`. Defaults to `False`. Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. DebugIdentityrwr5 debug_urlsrxNrwr5r{rxr;r<r3GExpected list for 'debug_urls' argument to 'debug_identity' Op, not %r.Fr4rwr5r{rxr;r?)r@rrArBrrCrDrErFrGrHdebug_identity_eager_fallbackrJrKrLrMrNrOrP make_boolrQrRrSrTrU_get_attr_boolrVrWr4rwr5r{rxr;rYrZr[r\r]r^r_r`rarbs rcdebug_identityrsU4    0h..0$ #\\  11 otUM;{L*lgnK!!+}=+K!!+}=+J Ju .  ')3 4 55?II!!"l3I*IJ!!*l;*'88u+%0Z$.T;!QX QK' ""$3%%c*Mll=)=ll=)<ll<(,  . 0F ::L vw8 (' .U  & &- ##At,,  # #    * [kJTtMM  # #   J6!F6H-6G= G$$G=<G=HH*)H*zraw_ops.DebugIdentityc 0|d}tj|d}|d}tj|d}|g}t|ttfst d|z|Dcgc]}tj|d}}|d}tj |d}tj|g|g\}\}|g} d|d|d|d|d|f } tjd d | | || } tjrtjd | | | | \} | Scc}w) Nr3rwr5r}r{Frxr?s DebugIdentityrgrhrz rKrLrMrNrOrPrrkrrSrW r4rwr5r{rxr;r<r]rmrbrar[s rcrr1sDK!!+}=+K!!+}=+J Ju .  ')3 4 55?II!!"l3I*IJ!!*l;*55ugsBG'8E, -m |Zz C&   -q#)s ?' ""$ vw8 (' .J!D) TV_DebugIdentityV2_Trrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2tfdbg_context_idop_name output_slottensor_debug_modecircular_buffer_size tfdbg_run_idc ~tjxstj} | j} | jr) t j | d||d|d|d|d|d|d|d|} | S|d }tj|d}|d }tj|d}|d }tj|d}|d }tj|d}|g}t!|t"t$fst'd |z|D cgc]} tj| d}} |d}tj|d}|d }tj|d}t)j*d||||||||| \}}}}|d d } tj,rd|j/dd|j1dd|j1dd|j3dd|j3dd|j1dd|j3dd|j1df}|j4}tj6d||| | \} | S#t j$r } tj| |Yd } ~ nd } ~ wt j$rYnwxYw t|||||||||| S#t j$rYNwxYwcc} w)aDebug Identity V2 Op. Provides an identity mapping from input to output, while writing the content of the input tensor by calling DebugEventsWriter. The semantics of the input tensor depends on tensor_debug_mode. In typical usage, the input tensor comes directly from the user computation only when graph_debug_mode is FULL_TENSOR (see protobuf/debug_event.proto for a list of all the possible values of graph_debug_mode). For the other debug modes, the input tensor should be produced by an additional op or subgraph that computes summary information about one or more tensors. Args: input: A `Tensor`. Input tensor, non-Reference type tfdbg_context_id: An optional `string`. Defaults to `""`. A tfdbg-generated ID for the context that the op belongs to, e.g., a concrete compiled tf.function. op_name: An optional `string`. Defaults to `""`. Optional. Name of the op that the debug op is concerned with. Used only for single-tensor trace. output_slot: An optional `int`. Defaults to `-1`. Optional. Output slot index of the tensor that the debug op is concerned with. Used only for single-tensor trace. tensor_debug_mode: An optional `int`. Defaults to `-1`. TensorDebugMode enum value. See debug_event.proto for details. debug_urls: An optional list of `strings`. Defaults to `[]`. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump. circular_buffer_size: An optional `int`. Defaults to `1000`. tfdbg_run_id: An optional `string`. Defaults to `""`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. DebugIdentityV2rrrrr{rrN) rrrrr{rrr;r<r3rJExpected list for 'debug_urls' argument to 'debug_identity_v2' Op, not %r.r) r4rrrrr{rrr;r?)r@rrArBrrCrDrErFrGrH debug_identity_v2_eager_fallbackrJrKrLmake_intrMrNrOrPrQrRrSrTrU _get_attr_intrVrW)r4rrrrr{rrr;rYrZr[r\r]r^r_r`rarbs rcdebug_identity_v2rQsF    0h..0$ #\\  11 u.@)Wm[. j 4n g n&&'79KL _G   gy 1'K!!+}=+''(9;NOJ Ju .  *,6 7 88?II!!"l3I*I!!**+?AWXL""<@,'889I#* ->&00D(44 A!QX QK' ""$3%%c*,>ll-. ll9%} .0C 34lll<(*@ 67ll>*,F::L <: (' .w  & &- ##At,,  # #    - "2G!5F6J#$D ::  # #   *Js6'I<J:JI..JJ J J76J7zraw_ops.DebugIdentityV2c |d}tj|d}|d}tj|d}|d}tj|d}|d}tj|d}|g}t|tt fst d|z|D cgc]} tj| d}} |d }tj|d }|d}tj|d }tj|g| g\} \}|g} d | d|d|d|d|d|d |d |f} tjd d| | | |}tjrtjd| | ||\}|Scc} w)Nr3rrrrrrr{rrrr?sDebugIdentityV2rgrhr) rKrLrrMrNrOrPrkrrSrW)r4rrrrr{rrr;r<r]rmrbrar[s rcrrs&&'79KL _G   gy 1'K!!+}=+''(9;NOJ Ju .  *,6 7 88?II!!"l3I*I!!**+?AWXL""<@,55ugsBG'8E, ,.>  =+': lower_bound and < 0. [5]: zero element count [6]: positive element count (excluding +inf), if upper_bound is the default +inf. Otherwise, this is the count of elements < upper_bound and > 0. [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by default. Output elements [1:8] are all zero, if the tensor is uninitialized. [8]: minimum of all non-inf and non-NaN elements. If uninitialized or no such element exists: +inf. [9]: maximum of all non-inf and non-NaN elements. If uninitialized or no such element exists: -inf. [10]: mean of all non-inf and non-NaN elements. If uninitialized or no such element exists: NaN. [11]: variance of all non-inf and non-NaN elements. If uninitialized or no such element exists: NaN. [12]: Data type of the tensor encoded as an enum integer. See the DataType proto for more details. [13]: Number of dimensions of the tensor (ndims). [14+]: Sizes of the dimensions. Args: input: A `Tensor`. Input tensor, non-Reference type. device_name: An optional `string`. Defaults to `""`. tensor_name: An optional `string`. Defaults to `""`. Name of the input tensor. debug_urls: An optional list of `strings`. Defaults to `[]`. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011. lower_bound: An optional `float`. Defaults to `float('-inf')`. (float) The lower bound <= which values will be included in the generalized -inf count. Default: -inf. upper_bound: An optional `float`. Defaults to `float('inf')`. (float) The upper bound >= which values will be included in the generalized +inf count. Default: +inf. mute_if_healthy: An optional `bool`. Defaults to `False`. (bool) Do not send data to the debug URLs unless at least one of elements [2], [3] and [7] (i.e., the nan count and the generalized -inf and inf counts) is non-zero. gated_grpc: An optional `bool`. Defaults to `False`. Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor. name: A name for the operation (optional). Returns: A `Tensor` of type `float64`. DebugNumericSummaryrwr5r{rrrrxN) rwr5r{rrrrxr;r<r3NExpected list for 'debug_urls' argument to 'debug_numeric_summary' Op, not %r.rrF) r4rwr5r{rrrrxr;r?)r@rrArBrrCrDrErFrGrH$debug_numeric_summary_eager_fallbackrJrKrLrMrNrOrPfloat make_floatrrQrRrSrTrUrrVrW)r4rwr5r{rrrrxr;rYrZr[r\r]r^r_r`rarbs rcdebug_numeric_summaryrs~    0h..0$ #\\  11 #T5-{L*m]K1Bz 3g nK!!+}=+K!!+}=+J Ju .  .0: ; <<?II!!"l3I*I-K##K?+,K##K?+O&&8IJ/J!!*l;*'88U +6:+6+6/>*44 A!QX QK' ""$3%%c*Mll=)=ll=)<ll<(-ll=)=ll=)+<  !23\  .0F::L |VW> (' .w  & &- ##At,,  # #    1 [k[!?d 66  # #   Js6'IK J%JJJJ22K K zraw_ops.DebugNumericSummaryc |d}tj|d}|d}tj|d}|g}t|ttfst d|z|D cgc]} tj| d}} | t d}tj|d}| t d}tj|d }|d }tj|d }|d }tj|d }tj|g| g\} \}|g} d | d|d|d|d|d |d |d |f} tjdd| | | |}tjrtjd| | ||\}|Scc} w)Nr3rwr5rr{rrrrFrrxr?sDebugNumericSummaryrgrhr) rKrLrMrNrOrPrrrrkrrSrW)r4rwr5r{rrrrxr;r<r]rmrbrar[s rcrrvsK!!+}=+K!!+}=+J Ju .  .0: ; <<?II!!"l3I*I-K##K?+,K##K?+O&&8IJ/J!!*l;*55ugsBG'8E, -m |Z /  &   3Q|#)s ?' ""$ |VW> (' .3Js!E9%TV_DebugNumericSummaryV2_output_dtyperr) TV_DebugNumericSummaryV2_Trrrrrrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2 output_dtype tensor_idc tjxstj}|j}|jr! t j |d||d|d|d| }|S|tj}tj |d}|d}tj"|d}|d}tj"|d}t%j&d|||||\} } } } | dd}tj(rjd| j+dd | j+d d| j-dd| j-df} | j.} tj0d| | ||\}|S#t j$r }tj||Yd}~nd}~wt j$rYnwxYw t||||||S#t j$rYwwxYw) aDebug Numeric Summary V2 Op. Computes a numeric summary of the input tensor. The shape of the output depends on the tensor_debug_mode attribute. This op is used internally by TensorFlow Debugger (tfdbg) v2. Args: input: A `Tensor`. Input tensor, to be summarized by the op. output_dtype: An optional `tf.DType` from: `tf.float32, tf.float64`. Defaults to `tf.float32`. Optional. The type of the output. Can be float32 or float64 (default: float32). tensor_debug_mode: An optional `int`. Defaults to `-1`. Tensor debug mode: the mode in which the input tensor is summarized by the op. See the TensorDebugMode enum in tensorflow/core/protobuf/debug_event.proto for details. Supported values: 2 (CURT_HEALTH): Output a float32/64 tensor of shape [2]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is a bit which is set to 1 if the input tensor has an infinity or nan value, or zero otherwise. 3 (CONCISE_HEALTH): Output a float32/64 tensor of shape [5]. The 1st element is the tensor_id, if provided, and -1 otherwise. The remaining four slots are the total number of elements, -infs, +infs, and nans in the input tensor respectively. 4 (FULL_HEALTH): Output a float32/64 tensor of shape [11]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is the device_id, if provided, and -1 otherwise. The 3rd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The remaining elements hold the total number of elements, -infs, +infs, nans, negative finite numbers, zeros, and positive finite numbers in the input tensor respectively. 5 (SHAPE): Output a float32/64 tensor of shape [10]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The 3rd element holds the rank of the tensor. The 4th element holds the number of elements within the tensor. Finally the remaining 6 elements hold the shape of the tensor. If the rank of the tensor is lower than 6, the shape is right padded with zeros. If the rank is greater than 6, the head of the shape is truncated. 6 (FULL_NUMERICS): Output a float32/64 tensor of shape [22]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is the device_id, if provided, and -1 otherwise. The 3rd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The 4th element holds the rank of the tensor. The 5th to 11th elements hold the shape of the tensor. If the rank of the tensor is lower than 6, the shape is right padded with zeros. If the rank is greater than 6, the head of the shape is truncated. The 12th to 18th elements hold the number of elements, -infs, +infs, nans, denormal floats, negative finite numbers, zeros, and positive finite numbers in the input tensor respectively. The final four elements hold the min value, max value, mean, and variance of the input tensor. 8 (REDUCE_INF_NAN_THREE_SLOTS): Output a float32/64 tensor of shape [3]. The 1st element is -inf if any elements of the input tensor is -inf, or zero otherwise. The 2nd element is +inf if any elements of the input tensor is +inf, or zero otherwise. The 3rd element is nan if any element of the input tensor is nan, or zero otherwise. tensor_id: An optional `int`. Defaults to `-1`. Optional. An integer identifier for the tensor being summarized by this op. name: A name for the operation (optional). Returns: A `Tensor` of type `output_dtype`. DebugNumericSummaryV2rrrN)rrrr;r<r)r4rrrr;r?)r@rrArBrrCrDrErFrGrH'debug_numeric_summary_v2_eager_fallbackrJ_dtypesfloat32rK make_typerrQrRrSrTrrVrW)r4rrrr;rYrZr[r\r^r_r`rarbs rcdebug_numeric_summary_v2rsR    0h..0$ #\\  11 %tUN)+rsI  67179FK3IC86%%'  v ;=bW[D #y.)DsD`ijmoxjx`yDL!y !56yi8sjstwzCuCkD0~ DFWY`dBYsM12BBirsvyFtFjGBH )9' ( )B CIc=.@$APSs|~ACP~PtQ0H NPbdqsFKRVM)C);$;<M#M^aMAEM[dehj|e|[}M^3 12>4>>.3QR 38J3J)KZ]loJN^ghkmh^@<L XZhj|~WYfhCGZ\cgiYs,@'@AiTWidgix{iSViBiVYiluvy{OvOlPiV7)56~t~~FW7XY&Ic;O6O,P&dg&ru&EH&]`&DG&WZ&jstwyMtMjN&RL SUgiz|MRacprDIPTcYs,@'@AcsccfcvycHLc]`cCcYbcfh|c|Y}cJ7)56~t~~FW7XY%Ic;O6O,P%_b%qt%CF%RV%be%C%S\]`bv]vSw%PH OQcertGLSWL9S*<%<=L3L_bLBFL\efikrkxkxfx\yL\3 12>4>>/3RS )C9K4K*L[^mpKO_hilnun{n{i{_|<#T []oqAUZ[aUbv{|AvBY^pu|@D30H+H!IDWZDknDOTDpuDTXDkoDENORT[TcTcOcEdDL?i =>~t~~Nc?de& #?W:W0X&gj&y|&X]&lq&DH&VZ&jstwy@yHyHtHjI&R)00WYjl}(~%$X DKDSDSkm}FJuIc3M.M$Nu^Cugjuy|uOXY\^CYCODunC "AB>4>>RjCkl9SB\=\3]nShkx{KTUXZUK@r