c dddlZddlmZmZejeZGddejZdS)N) interfacesmatutilsc2eZdZdZd dZdZdZdZdZdS) NormModelzPObjects of this class realize the explicit normalization of vectors (l1 and l2).Nl2cF||_|||dSdS)aNCompute the l1 or l2 normalization by normalizing separately for each document in a corpus. If :math:`v_{i,j}` is the 'i'th component of the vector representing document 'j', the l1 normalization is .. math:: l1_{i, j} = \frac{v_{i,j}}{\sum_k |v_{k,j}|} the l2 normalization is .. math:: l2_{i, j} = \frac{v_{i,j}}{\sqrt{\sum_k v_{k,j}^2}} Parameters ---------- corpus : iterable of iterable of (int, number), optional Input corpus. norm : {'l1', 'l2'}, optional Norm used to normalize. N)norm calc_norm)selfcorpusr s 7lib/python3.11/site-packages/gensim/models/normmodel.py__init__zNormModel.__init__s0(   NN6 " " " " " DcP|jjd|jd|jd|jdS)Nz ) __class____name__num_docsnum_nnzr )r s r __str__zNormModel.__str__+s2 N # # #T]]]DLLL$)))  rctd|jg}d}d}|D]F}|dz }|t|z }|t j||jG||_||_||_ dS)zCalculate the norm by calling :func:`~gensim.matutils.unitvec` with the norm parameter. Parameters ---------- corpus : iterable of iterable of (int, number) Input corpus. zPerforming %s normalization...rN) loggerinfor lenappendrunitvecrrnorms)r r rnumnnzdocnobows r r zNormModel.calc_norm0s  4di@@@ ; ;C QJE c#hh F LL)#ty99 : : : :   rc:tj||j}|S)aNormalize a simple count representation. Parameters ---------- bow : list of (int, number) Document in BoW format. Returns ------- list of (int, number) Normalized document. )rrr )r r!vectors r normalizezNormModel.normalizeEs!#ty11 rc,||S)aCall the :func:`~gensim.models.normmodel.NormModel.normalize`. Parameters ---------- bow : list of (int, number) Document in BoW format. Returns ------- list of (int, number) Normalized document. )r$)r r!s r __getitem__zNormModel.__getitem__Ws~~c"""r)Nr) r __module__ __qualname____doc__rrr r$r&rr rrsjZZ4   *$#####rr) logginggensimrr getLoggerrrTransformationABCrr*rr r/s{''''''''  8 $ $W#W#W#W#W# ,W#W#W#W#W#r