Ë 1ÆVhMãó‚—dZddlZddlZddlmZdZejd¬«Gd„d««Zefd „Z efd „Z d „Z y) z"Package for histogram compression.éN)ÚTuple) riœi3i iˆiiÝ it$i'T)Úfrozencó<—eZdZUdZeed<eed<deeeffd„Zy)ÚCompressedHistogramValuezÕRepresents a value in a compressed histogram. Attributes: basis_point: Compression point represented in basis point, 1/100th of a percent. value: Cumulative weight at the basis point. Ú basis_pointÚvalueÚreturncó2—|j|jfS)z1Returns the basis point and the value as a tuple.)rr)Úselfs ú[/home/dcms/DCMS/lib/python3.12/site-packages/tensorboard/plugins/distribution/compressor.pyÚas_tuplez!CompressedHistogramValue.as_tuple*s€à× Ñ  $§*¡*Ð-Ð-óN)Ú__name__Ú __module__Ú __qualname__Ú__doc__ÚfloatÚ__annotations__rr ©rr rrs)…ñðÓØ ƒLð.˜%  u  Ñ-ô.rrcóΗ|js(|Dcgc]}t|d«j«‘Œc}Stj|j «}t |j«}||dz|j«xsdz j«}g}d}|t|«krâtj|||d¬«}|t|«kr©||} |dkDr||dz nd} | | k(r|dz }Œ-|r| s |j} nt||dz |j«} t|||j«} t||| | | | «} |jt||| «j««|dz }nn|t|«krŒâ|t|«krJ|jt|||j«j««|dz }|t|«krŒJ|Scc}w)aÁCreates fixed size histogram by adding compression to accumulated state. This routine transforms a histogram at a particular step by interpolating its variable number of buckets to represent their cumulative weight at a constant number of compression points. This significantly reduces the size of the histogram and makes it suitable for a two-dimensional area plot where the output of this routine constitutes the ranges for a single x coordinate. Args: histo: A HistogramProto object. bps: Compression points represented in basis points, 1/100ths of a percent. Defaults to normal distribution. Returns: List of values for each basis point. çéÿÿÿÿçð?rÚright©Úsideé)Únumrr ÚnpÚarrayÚbucketÚlistÚ bucket_limitÚsumÚcumsumÚlenÚ searchsortedÚminÚmaxÚ_lerpÚappend)ÚhistoÚbpsÚbr!r#ÚweightsÚvaluesÚjÚir%Ú cumsum_prevÚlhsÚrhsÚweights r Úcompress_histogram_protor70s€ð$ 9Š9ØEHÖIÀÔ(¨¨CÓ0×9Ñ9Õ;ÒIÐIÜ X‰Xe—l‘lÓ #€Fܘ×*Ñ*Ó+€Lؘ˜B™Ñ 6§:¡:£<Ò#6°3Ñ7×?Ñ?ÓA€GØ €FØ €AØ Œc#‹hŠ,Ü O‰O˜G S¨¡V°'Ô :ˆØ”#g“,ÒؘQ‘ZˆFØ,-°ªE˜' ! a¡%š.°sˆKؘÒ$ØQ‘ØÙ™KØ—i‘i‘ä˜, q¨1¡uÑ-¨u¯y©yÓ9Ül 1‘o u§y¡yÓ1ˆCܘ3˜q™6 ;°¸¸SÓAˆFØ M‰MÔ2°3°q±6¸6ÓB×KÑKÓMÔ NØ ‰FˆAØ à ð% Œc#‹h‹,ð& Œc#‹hŠ,Ø ‰ Ô.¨s°1©v°u·y±yÓA×JÑJÓLÔMØ ˆQ‰ˆð Œc#‹h‹,ð €Mùò9Js‘!G"có–—tj|«}|js(|Dcgc]}t|d«j «‘Œc}S|dd|dd}}|dd…df}t |dd…df«}||dz|j «xsdz j«}g}d} | t|«krÄtj||| d¬ «} | t|«kr‹|| } | dkDr|| dz nd} | | k(r| dz } Œ-| r| s|} nt|| dz |«} t|| |«}t|| | | | |«}|jt|| |«j ««| dz } nn| t|«krŒÄ| t|«kr@|jt|| |«j ««| dz } | t|«krŒ@|Scc}w) aCreates fixed size histogram by adding compression to accumulated state. This routine transforms a histogram at a particular step by linearly interpolating its variable number of buckets to represent their cumulative weight at a constant number of compression points. This significantly reduces the size of the histogram and makes it suitable for a two-dimensional area plot where the output of this routine constitutes the ranges for a single x coordinate. Args: buckets: A list of buckets, each of which is a 3-tuple of the form `(min, max, count)`. bps: Compression points represented in basis points, 1/100ths of a percent. Defaults to normal distribution. Returns: List of values for each basis point. rrrrNérrr)rr Úsizerr r"r$r%r&r'r)r(r*r+)Úbucketsr-r.ÚminminÚmaxmaxÚcountsÚ right_edgesr/ÚresultÚbp_indexr2r%r3r4r5r6s r Úcompress_histogramrBbsã€ô(h‰hwÓ€GØ <Š<ØEHÖIÀÔ(¨¨CÓ0×9Ñ9Õ;ÒIÐIØ ™  1™  w¨r¡{°1¡~ˆV€VØ ’Q˜T‰]€FÜwšq !˜t‘}Ó%€Kؘ˜B™Ñ 6§:¡:£<Ò#6°3Ñ7×?Ñ?ÓA€Gà €FØ€HØ ”S˜“XÒ Ü O‰O˜G S¨¡]¸Ô AˆØ”#g“,ÒؘQ‘ZˆFØ,-°ªE˜' ! a¡%š.°sˆKؘÒ$ØQ‘ØÙ™KØ‘ä˜+ a¨!¡eÑ,¨fÓ5Ük !‘n fÓ-ˆCܘ3˜x™=¨+°v¸sÀCÓHˆFØ M‰MÜ(¨¨X©¸Ó?×HÑHÓJô 𠘉MˆHØ à ð) ”S˜“XÓ ð* ”S˜“XÒ Ø ‰ Ü $ S¨¡]°FÓ ;× DÑ DÓ Fô ð A‰ ˆð ”S˜“XÓ ð €MùòEJs¦!Gcó<—|||z t||z «z||z z zS)z)Affinely map from [x0, x1] onto [y0, y1].)r)ÚxÚx0Úx1Úy0Úy1s r r*r*s'€à R‘œ5  b¡›>Ñ)¨R°"©WÑ5Ñ 5Ð5r) rÚ dataclassesÚnumpyrÚtypingrÚNORMAL_HISTOGRAM_BPSÚ dataclassrr7rBr*rrr úrNs_ðñ)óÛåð KÐð€×јdÔ#÷.ð.ó$ð.ð$)=ó/ðd%9ó8óv6r