wiҏb ddlZddlZddlZddlZddlZddlZddlZddlZddlZddl Z ddl Z ddl Z ddl Z ddl Z ddlZddlmZddlmZmZddlmZddlmZmZmZmZmZddlZddlZddl Zddl!Z!ddl"m#Z#ddl$m%Z%dd l&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2dd lm3Z3ej4Z5e3e6Z7e-oLe%j8e%j8ej9%d j:e%j8d kZ;e2oLe%j8e%j8ej9%d j:e%j8dkZZ>dej?vr>ej?dZ@ ejAe@ZBn#eC$rZDeCde@deDeDdZD[DwwxYwdej?vrTej?dZE e>jFeEZBn#eG$rZDeGdeEeDdZD[DwwxYwe7HdeEne>jIJrdndZEe%j8e%j8e>jKj:e%j8dkZLeLr5eMe>jNdZOeOr e>jNjPJrdneEZEdZQdZR d~dZSddZTdeUfd ZVdd"ZWeWd#d!$ZXeWd%d!$ZYdd'ZZd(Z[d)Z\d*Z]d+Z^d,Z_d-Z`d.Zad/Zbd0Zcd1Zdd2Zed3Zfd4Zgd5Zhd6Zid7Zjd8Zkd9Zld:Zmd;Znd<Zod=Zpd>Zqdd?eerejsfd@eerdejsfdAZtdBerfdCZudDeerejvjvfdejvjvfdEZwdDejvdFeUfdGZxddDeejvjvdHerderfdIZyedJZzddKerfdLZ{ddMerfdNZ|ddOeejsdPerderfdQZ}dejsfdRZ~iZdSZdTZddVeUdWeedXeerfdYZddZZGd[d\Zd]Zd^Zd_Zd`Ze/rEdadad!dadbZe>jIjddddbZe>jIjdcddddbZe>jIje>je>jdeZdferdgeereffdhZdferdieUfdjZdferfdkZdferfdlZdferfdmZe/rdneerefdoerfdpZdqej?vrej?dqZeesedre ededsZn#e$rZDedteeDdZD[DwwxYwejAeZ ejZn#e$r eduwxYwdej?vreEekrdveEdwedxZedyz ZeeeZEeedzeed{eed|eed}dSdSdS)N)contextmanager)BytesIOStringIO)Path)CallableDictListOptionalUnion)norm)version) BACKENDS_MAPPINGis_compel_availableis_flax_availableis_note_seq_availableis_onnx_availableis_opencv_availableis_peft_availableis_timm_availableis_torch_availableis_torch_versionis_torchsde_availableis_transformers_available) get_loggerpeftz0.5 transformersz4.33DIFFUSERS_TEST_BACKENDz+Failed to import `DIFFUSERS_TEST_BACKEND` 'zg'! This should be the name of an installed module to enable a specified backend.): DIFFUSERS_TEST_DEVICEzRUnknown testing device specified by environment variable `DIFFUSERS_TEST_DEVICE`: ztorch_device overrode to cudacpuz1.12mpsctstdtj||g|Ri|sMJd||z d||z ddS)Nz3PyTorch needs to be installed to use this function.FzMax diff is absolute z. Diff tensor is .T)r ValueErrortorchallcloseabsmax)abargskwargss m/root/.openclaw/workspace/chatterbox_venv_py311/lib/python3.11/site-packages/diffusers/utils/testing_utils.pytorch_all_closer/^s   PNOOO >!Q 0 0 0 0 0 0eddq1ukkmm.?.?.A.AddUVYZUZT_T_TaTadddddu 4ctj||t|t|zz }d|z }|S)N?)npdotr mean)r*r+ similaritydistances r. numpy_cosine_similarity_distancer8fs@1a477!23JZ__&&&H Or0test_corrections.txtexpected_slicec  |rtjdtjd}tj|stj|}|r|ddddddf}t| tj  dd}| d |d }|d \}} } | d} t|d 5} t!d || | |g| ddddS#1swxYwYdS)Ni') thresholdPYTEST_CURRENT_TESTr tensorz = np.arrayz::r*file)r&set_printoptionsosenvironget is_tensor from_numpystrdetachr!flattentofloat32replacesplitopenprintjoin) rBlimit_to_slicesmax_torch_printfilenameexpected_tensor_name test_name tensor_str output_str test_file test_classtest_fnfs r.print_tensor_testr`ms1 0000 455I ?6 " "*!&)))233R(V]]__((**224477 FFGGOOPTVXYYJ##H1E.R.R.RSSJ%.__T%:%:"Iz7mmooa G h  O diiJDEEANNNNOOOOOOOOOOOOOOOOOOs)E99E=E=ctjdd}tjtj|}|ds4tj|}|d4|r"t||S|S)a Args: append_path: optional path to append to the tests dir path Return: The full path to the `tests` dir, so that the tests can be invoked from anywhere. Optionally `append_path` is joined after the `tests` dir the former is provided. rtests) inspectstackrFpathabspathdirnameendswithras_posix) append_pathcaller__file__ tests_dirs r. get_tests_dirrms]__Q'*N ? ?@@I  ))/GOOI..   ))/I{++44666r0returncf|}|dvrdS|dvrdStd|)z Converts a string representation of truth to `True` (1) or `False` (0). True values are `y`, `yes`, `t`, `true`, `on`, and `1`; False value are `n`, `no`, `f`, `false`, `off`, and `0`; )yyesttrueon1r)nnor_falseoff0rzinvalid truth value )lowerr%)values r. str_to_boolr}sJ KKMME 444q 7 7 7q777888r0Fc tj|} t|}n3#t$rtd|dwxYw#t$r|}YnwxYw|S)NzIf set, z must be yes or no.)rFrGr}r%KeyError)keydefaultr|_values r.parse_flag_from_envrs B 3  B ''FF B B B@@@@AA A B  MsA%A AARUN_SLOW)r RUN_NIGHTLYr2c2|t}d}|D]}||z}g}t|D],}|||z-t j|tj|S)zCreates a random float32 tensorNr)datadtype) global_rngrangeappendrandomr&rBfloatview contiguous)shapescalerngname total_dimsdimvalues_s r. floats_tensorrs {Jc F :  ,, cjjllU*++++ =z2.0.0ztest requires PyTorch 2)rrrrrs r.require_torch_2rsA t8 133W8Hw8W8WYr s s  r0cltjto tdkd|S)z8Decorator marking a test that requires CUDA and PyTorch.r ztest requires PyTorch+CUDArrr torch_devicers r.require_torch_gpurs8 m8 133N 8NPl m m  r0cltjto tdkd|S)zJDecorator marking a test that requires an accelerator backend and PyTorch.r!z!test requires accelerator+PyTorchrrs r.require_torch_acceleratorrs8 s8 133M 8MOr s s  r0ctstjd|Sddl}tj|jdkd|S)a Decorator marking a test that requires a multi-GPU setup (in PyTorch). These tests are skipped on a machine without multiple GPUs. To run *only* the multi_gpu tests, assuming all test names contain multi_gpu: $ pytest -sv ./tests -k "multi_gpu" rrNrztest requires multiple GPUs)rrskipr&rr device_count)rr&s r.require_torch_multi_gpursi   A5x}455i@@@LLL \8 uz66881<>[ \ \]f g ggr0cbtjttd|S)zZDecorator marking a test that requires an accelerator with support for the FP16 data type.z+test requires accelerator with fp16 support)rr_is_torch_fp16_availablerrs r.#require_torch_accelerator_with_fp16r0 u8 7 EEGt u u  r0cbtjttd|S)zZDecorator marking a test that requires an accelerator with support for the FP64 data type.z+test requires accelerator with fp64 support)rr_is_torch_fp64_availablerrs r.#require_torch_accelerator_with_fp64rrr0c~tjtottd|S)zPDecorator marking a test that requires an accelerator with support for training.z/test requires accelerator with training support)rrrbackend_supports_trainingrrs r.'require_torch_accelerator_with_trainingrsD 8 H!:.decoratores022 (w} M),44V<< = = J8 8 M, ' '8( x" "l^j"l"l   r0)rrs` r.require_peft_version_greaterr_s$  r0cfd}|S)Nc to]tjtjtjdjtjk}t j|dd|S)N acceleratez7Test requires accelerate with the version greater than r$r)rcorrect_accelerate_versionaccelerate_versions r.rz5require_accelerate_version_greater..decoratorqs%6%8%8&.W] M),44\BB C C P> > M, - ->." x" &(wbt(w(w(w   r0r)rrs` r."require_accelerate_version_greaterrps$ r0cJtjt d|S)zJ Decorator marking a test that will be skipped after PEFT backend z%test skipped in favor of PEFT backendrrs r.deprecate_after_peft_backendr|s( ^8 #335\ ] ]^g h hhr0c>tj}|j|j}}||fSN)sys version_infomajorminor)sys_inforrs r.get_python_versionrs!H>8>5E %<r0cTd}tj|d|S)Nc<t\}}|dko|dkS)N )r)rrs r.python39_availablez6require_python39_or_higher..python39_availables$)++ uz(eqj(r0z"test requires Python 3.9 or higher)rr)rrs r.require_python39_or_higherrs=))) [8 11335Y Z Z[d e eer0arry local_pathct|tr1|ot||dd|dd|ddS|ds|drOt j|}|tj t|j }nqtj|rtj |}n=t!d|dt|tjrnt!d |S) N/r?http://https://IIncorrect path or url, URLs must start with `http://` or `https://`, and  is not a valid pathzjIncorrect format used for numpy ndarray. Should be an url linking to an image, a local path, or a ndarray.) isinstancerKrrQri startswithrequestsrHraise_for_statusr3loadrcontentrFreisfiler%ndarray)rrresponses r. load_numpyrsJ$  ! DJJsOOB$7C9LdjjY\oo^`Nabbkkmm m __Y ' ' 4??:+F+F |D))H  % % ' ' '778#34455DD W^^D ! ! 74==DDv\`vvv  D"* % %      Kr0urlctj|}|tjt |j}|Sr)rrHrr&rrr)rrrs r.load_ptrsB|C  H  :gh.// 0 0D Kr0imagecdt|tr|ds|dr9tjt j|dj}ntj |r tj|}nDtd|dt|tjjr|}ntdtj |}|d}|S) z Loads `image` to a PIL Image. Args: image (`str` or `PIL.Image.Image`): The image to convert to the PIL Image format. Returns: `PIL.Image.Image`: A PIL Image. rrT)streamrrzdIncorrect format used for image. Should be an url linking to an image, a local path, or a PIL image.RGB)rrKrPILImagerRrrHrawrFrerr%ImageOpsexif_transposeconvert)rs r. load_imagers%   I & & %*:*::*F*F INN8<d#C#C#C#GHHEE W^^E " " INN5))EEw\awww  E39? + +  r    L ' ' . .E MM% E Lr0 batch_sizec|j\}}d||fD\}}|||ftjj}t j|t jdz }t j |d ddddg|z}tj |}d|zd z S) Nc3&K|] }||dzz V dS)Nr).0xs r. z#preprocess_image..s* & &!AAI & & & & & &r0)resamplego@rrrg@r2) sizeresizer r LANCZOSr3arrayastyperOvstack transposer&rJ)rrwhs r.preprocess_imager%s :DAq & &1v & & &DAq LL!Q#)*;L < z!export_to_ply..sERRRqD(+224488::@@BBRRRr0r raxiswbsply s format binary_little_endian 1.0 zelement vertex r@asciisproperty float x sproperty float y sproperty float z sproperty uchar red sproperty uchar green sproperty uchar blue z element face s%property list uchar int vertex_index s end_header go@c"g|] \}}g||R Srr)rcoordrgbs r.rBz!export_to_ply..s6E3%#r0z<3f3Bz<3fz > >    ?=''))0055C"%MMOOJJLL##H]7++F  , ,  T*++++ ,]5))F --// . .  V,----  ]6**F||~~ 5 5  CHH3s3334444I$5$5$5$5$5$5$5$5$5$5$5$5$5$5$5L sJMM Moutput_obj_pathc|tjdj}j}j}tj fddDd}dt| | D}d| D}d |D|z}t|d 5}| d |ddddS#1swxYwYdS) Nz.objr(cg|]E}j|FSrr=r@s r.rBz!export_to_obj..,sF\\\QRd215<<>>BBDDJJLL\\\r0r rrCc2g|]\}}djg||RS)z{} {} {} {} {} {})rX)rrHcolors r.rBz!export_to_obj..-sC7Cue""2E2E222r0c g|][}dt|ddzt|ddzt|ddz\S)z f {} {} {}rrr)rXrK)rr[s r.rBz!export_to_obj..1sV n n nX[\ SVaZ#c!fqj//3s1vPQz?? S S n n nr0cg|]}d|zS)zv r)rrZs r.rBz!export_to_obj..3s:::vTF]:::r0r#r@)r0r1rrJrLr!r?rKr3rdrQrRrR writelinesrT)rAr]rJrK vertex_colorsrW combined_datar_s` r. export_to_objrg%s"5VDDDI J     # # % % + + - -E JNN   " " $ $EH\\\\V[\\\cdeeeMGJ5<<>>[h[o[o[q[qGrGrH o n_d_k_k_m_m n n nE:::::UBM os # #/q TYY}--...//////////////////s#)EE E video_framesoutput_video_pathctrddl}n3ttddd|t jdj}|jd}|dj \}}}| ||d||f }tt|D]8}| |||j} || 9|S) Nropencvrexport_to_videoz.mp4r(mp4vr)fps frameSize)rcv2 ImportErrorrrXr0r1rVideoWriter_fourccr VideoWriterrrNcvtColor COLOR_RGB2BGRrL) rhrirpfourccr$r#c video_writeriimgs r.rlrl9sS *84Q7>>?PQQRRR $7vFFFK #S #V ,F1o#GAq!??#4f!PQSTv?VVL 3|$$ % %  ll<?C,=>>3 r0cd}|dsR|ds=tj|tj|}t|S)NzEhttps://huggingface.co/datasets/fusing/diffusers-testing/resolve/mainrr)rrFrerTurllibrquoter)rebase_urls r. load_hf_numpyrJscVH ??9 % %@dooj.I.I@w||Hfl&8&8&>&>?? d  r0cfd}|tvr%||ddddt|<dSdS)z This function is to be called from `conftest.py` via `pytest_addoption` wrapper that has to be defined there. It allows loading both `conftest.py` files at once without causing a failure due to adding the same `pytest` option. z--make-reportsstoreFzSgenerate report files. The value of this option is used as a prefix to report names)actionrhelprN)pytest_opt_registered addoption)parseroptions r.pytest_addoption_sharedrYsYF *** f    )*f%%%+*r0c  ddlm}tsd|j}|}|jj}|j}dt ddfddD}g}|j D],} | D]'} t| d r| | (-|r|d d t|d d 5} d} | dt#|D]l\} } | j| kr-| t|| z d| dn0| | jdd| jdd| jdmdddn #1swxYwYd}d|j_t|dd 5} ||| |_|dddn #1swxYwYt|dd 5} ||| |_||dddn #1swxYwYd|j_t|dd 5} ||| |_|dddn #1swxYwYt|dd 5} ||| |_|dddn #1swxYwYt|dd 5} ||| |_||dddn #1swxYwYd |_t|d!d 5} ||| |_|dddn #1swxYwYt|d"d 5} ||| |_|dddn #1swxYwYt|d#d 5} ||| |_|dddn #1swxYwY||_||_||j_dS)$a Generate multiple reports at the end of test suite run - each report goes into a dedicated file in the current directory. The report files are prefixed with the test suite name. This function emulates --duration and -rA pytest arguments. This function is to be called from `conftest.py` via `pytest_terminal_summary` wrapper that has to be defined there. Args: - tr: `terminalreporter` passed from `conftest.py` - id: unique id like `tests` or `examples` that will be incorporated into the final reports filenames - this is needed as some jobs have multiple runs of pytest, so we can't have them overwrite each other. NB: this functions taps into a private _pytest API and while unlikely, it could break should pytest do internal changes - also it calls default internal methods of terminalreporter which can be hijacked by various `pytest-` plugins and interfere. r)create_terminal_writerrbreportsT)parentsexist_okc (i|]}|dd|dS)rrz.txtr)rkdirids r. z0pytest_terminal_summary_main..sD     c B     r0) durationserrors failures_longfailures_short failures_linepassesstats summary_shortwarningsr.c|jSr)r.)rs r.z.pytest_terminal_summary_main..sr0)rreverserr#g?zslowest durations z durations < z secs were omittedz02.2fzs z<8 r@Nc f|d}|sdS|dd|D]~}||}|d|ddtjdd|jd tjtjz}|j |dS) Nfailed=zFAILURES SHORT STACKrT)redboldz.*_ _ _ (_ ){10,}_ _ rAr) getreports write_sep_getfailureheadlineresub longreprtextMS_twline)trrrepmsglongreprs r.summary_failures_shortz.summary_failures_shorts--))  F S0111 " "C((--C LLct$L 7 7 7v6CG;III.&J  J$'J$&K33K7:K7:MM!M&N44N8;N8&PP P (&QQ!Q max_attemptswait_before_retry descriptioncfd}|S)a To decorate flaky tests. They will be retried on failures. Args: max_attempts (`int`, *optional*, defaults to 5): The maximum number of attempts to retry the flaky test. wait_before_retry (`float`, *optional*): If provided, will wait that number of seconds before retrying the test. description (`str`, *optional*): A string to describe the situation (what / where / why is flaky, link to GH issue/PR comments, errors, etc.) cLtjfd}|S)Nc d}|krf |i|S#t$rJ}td|d|ddtjt j|dz }Yd}~nd}~wwxYw|kf|i|S)NrzTest failed with z at try rr$rC) ExceptionrSrstderrtimesleep)r,r- retry_counterrr test_func_refrs r.wrapperz,is_flaky..decorator..wrappersK ,,%(=$9&999 %%%XcXX;XXXXX_b_ijjjj(4 #45551$KKKKKK %  ,,!=$1&11 1s A'AA""A') functoolswraps)rrrrs` r.rzis_flaky..decoratorsC  ' ' 2 2 2 2 2 2 ( ' 2r0r)rrrrs`` r.is_flakyrs*& r0c|-ttjdd}d}t j|}|d}|d}|||| ||||f}|  ||} | n@#t$r3} | || Yd} ~ nd} ~ wwxYw||| d|| ddSdS) a To run a test in a subprocess. In particular, this can avoid (GPU) memory issue. Args: test_case (`unittest.TestCase`): The test that will run `target_func`. target_func (`Callable`): The function implementing the actual testing logic. inputs (`dict`, *optional*, defaults to `None`): The inputs that will be passed to `target_func` through an (input) queue. timeout (`int`, *optional*, defaults to `None`): The timeout (in seconds) that will be passed to the input and output queues. If not specified, the env. variable `PYTEST_TIMEOUT` will be checked. If still `None`, its value will be set to `600`. NPYTEST_TIMEOUTiXspawnr)timeout)targetr,error)rPrFrGrHmultiprocessing get_contextQueue JoinableQueueputProcessstart task_doner terminatefailrT) r target_funcinputsr start_methohdctx input_queue output_queueprocessresultses r.run_test_in_subprocessrsjbjnn%5s;;<<M  %m 4 4C))A,,K$$Q''LOOFGO,,,kkKw3WkXXG MMOOO""7"33    q LLL!!!w#''*,-----$#s6*C!! D+)DDc*eZdZdZdZdZdZdZdS) CaptureLoggeraG Args: Context manager to capture `logging` streams logger: 'logging` logger object Returns: The captured output is available via `self.out` Example: ```python >>> from diffusers import logging >>> from diffusers.testing_utils import CaptureLogger >>> msg = "Testing 1, 2, 3" >>> logging.set_verbosity_info() >>> logger = logging.get_logger("diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.py") >>> with CaptureLogger(logger) as cl: ... logger.info(msg) >>> assert cl.out, msg + " " ``` c||_t|_tj|j|_d|_dS)NrA)loggerrr5logging StreamHandlershout)selfrs r.__init__zCaptureLogger.__init__Ss3 **'00r0cD|j|j|Sr)r addHandlerrrs r. __enter__zCaptureLogger.__enter__Ys tw''' r0c|j|j|j|_dSr)r removeHandlerrr5getvaluer)rexcs r.__exit__zCaptureLogger.__exit__]s3 !!$'***7##%%r0cd|jdS)Nz captured: r@)rrs r.__repr__zCaptureLogger.__repr__as(DH((((r0N)__name__ __module__ __qualname____doc__rrr rrr0r.rr>sZ( &&&)))))r0rcdtjd<dtjd<tjddtjj_dtjj_dtjjj _ dS)z Helper function for reproducible behavior during distributed training. See - https://pytorch.org/docs/stable/notes/randomness.html for pytorch ruCUDA_LAUNCH_BLOCKINGz:16:8CUBLAS_WORKSPACE_CONFIGTFN) rFrGr&use_deterministic_algorithmsbackendscudnn deterministic benchmarkr matmul allow_tf32rr0r.enable_full_determinismresa*-BJ%&,3BJ() &t,,,*.EN&%*EN",1EN)))r0cjdtjd<dtjd<tjddS)NrzrrArF)rFrGr&rrr0r.disable_full_determinismr ws3),BJ%&,.BJ() &u-----r0c0tsdSddl}|j|} |jd|j|}|j||}dS#t$r(}|jdkrtd|Yd}~dSd}~wwxYw)NFrrrrTr zYou have passed a device of type 'cuda' which should work with 'fp16', but 'cuda' does not seem to be correctly installed on your machine: ) rr&devicezerosfloat16rNmulrtyper%r$r&rrrs r.rr~   uLLL U\& ! !F  EKem 4 4 4 7 7 ? ? EIaOOt  ;& b_`bb uuuuu ;A## B-BBc0tsdSddl}|j|} |jd|j|}|j||}dS#t$r(}|jdkrtd|Yd}~dSd}~wwxYw)NFrr"r#Tr zYou have passed a device of type 'cuda' which should work with 'fp64', but 'cuda' does not seem to be correctly installed on your machine: ) rr&r$r%float64rNr'rr(r%r)s r.rrr*r+T)r r!r"rcdSNrrrr0r.rrsAr0cdSr/rrr0r.rrs^_r0)r r!rr$dispatch_tablecN||vr|d|i|S||}|dS||i|S)Nrr)r$r1r,r-fns r._device_agnostic_dispatchr4sR ^##(~i($9&999  B zt 2t v  r0seedc.t|t|Sr)r4BACKEND_MANUAL_SEED)r$r5s r.backend_manual_seedr8s $V-@$ G GGr0c,t|tSr)r4BACKEND_EMPTY_CACHEr$s r.backend_empty_cacher<s $V-@ A AAr0c,t|tSr)r4BACKEND_DEVICE_COUNTr;s r.backend_device_countr?s $V-A B BBr0cRtsdS|tvrd}t|S)NFr)rBACKEND_SUPPORTS_TRAININGr;s r.rrs1   u ... $V ,,r0device_fn_dictattribute_namec tt|}||t<dS#t$r+}d|vrtd|dtd|Yd}~dSd}~wwxYw)Nr`z` not found in 'z)' and no default fallback function found.)getattrdevice_spec_modulerAttributeErrordevice_spec_path)rBrCspec_fnrs r.update_mapping_from_specrKs 0.AAG+2N< ( ( (   ..$sss8Hsss/..... s# A AADIFFUSERS_TEST_DEVICE_SPECzCSpecified path to device specification file is not found. Received z.pyz9Provided device spec file is not a Python file! Received z.Device spec file did not contain `DEVICE_NAME`z?Mismatch between environment variable `DIFFUSERS_TEST_DEVICE` 'z' and device found in spec 'z' zKEither unset `DIFFUSERS_TEST_DEVICE` or ensure it matches device spec name.MANUAL_SEED_FNEMPTY_CACHE_FNDEVICE_COUNT_FNSUPPORTS_TRAINING)NNr9r:r)F)r2NN)rNN)NN)rrrcr5rrrFrrrSrr0rr urllib.parser| contextlibrrrpathlibrtypingrrr r r r?r3 PIL.Imager  PIL.ImageOpsr numpy.linalgr packagingr import_utilsrrrrrrrrrrrrrRandomrrrrrr_required_peft_version_required_transformers_versionrr&rGbackend import_modulerModuleNotFoundErrorrrr$ RuntimeErrorinfor is_available __version__is_torch_higher_equal_than_1_12rrmps_backend_registeredr"r/r8r`rmrPr}rrrrrrrrrrrrrrrrrrrrrrrrrrrrKrrrr rr%r3r9r\rgrlrrrrrrrrrr rrrA empty_cacher:rr> manual_seedr7r4r8r<r?rrKrIis_filer%index import_namerG DEVICE_NAME device_namerHrrr0r.rms    %%%%%% 88888888888888                             V]__ H  **,,GM)$,,V4455B22GM%2";!:! >>????!&!8!8!:!:Evv *7'- GM%+ , , 9+ + W]6 " "+#' + u%,WU^U%C%C "%;t@R@_@_@a@at55htL #) OOOO4. 9# 9 9 9 9     &%j%@@@((FFF Q Q Q Q KKKQQQYYY h h hccc [[[YYY\\\]]]]]]ZZZUUU"   iii fffU3 ?+#RTR\4eC01cio>CI3  cio.  PS     111111h//////($rz"2sVY"2:***&~)~)~)D!!3!x!\deh\i!!!!J(.(.(.(.V$)$)$)$)$)$)$)$)N222$...,.s)-d5UY Z Z$):#9$t`dee$)J$;IIV_V_lmnn#(:#9%BS`e`qrr c 4X ;N    HH3HHHHBBBBBCCCCC -c----*Q c8m1D VY    $rz11:&BCt$%%--// w*ucsuuvv v t*+J-=-C-CE-J-J+JKKK t t t*kYikkllrs s t5Y4[AA S,8KK S S S .!QRR R S #bj 0 0\[5P5POT`OOJOOOC ` `C*S// !"  ! !46FGGG  !46FGGG  !57HIII  !: