biVdZddlmZmZddlZddlZddlmZddl m Z GddeZ y)a6 Copyright 2013 Steven Diamond, Eric Chu Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. )ListTupleN)log) ConstraintcveZdZdZdfd Zej dZdee e ffdZ dZ de e fdZxZS) log1pz&Elementwise :math:`\log (1 + x)`. returnc,tt| |y)N)superr__init__)selfx __class__s X/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/cvxpy/atoms/elementwise/log1p.pyr zlog1p.__init__s eT#A&cFtjj|dS)z4Returns the elementwise natural log of x+1. r)scipyspecialr)r valuess rnumericz log1p.numeric s}}""6!9--rcv|jdj|jdjfS)z'The same sign as the argument. r)args is_nonneg is_nonposr s rsign_from_argszlog1p.sign_from_args&s1 ! &&($))A,*@*@*BCCrc|jdj}|j}tj|ddkrdgSd|ddzz }tj |||gS)a+Gives the (sub/super)gradient of the atom w.r.t. each argument. Matrix expressions are vectorized, so the gradient is a matrix. Args: values: A list of numeric values for the arguments. Returns: A list of SciPy CSC sparse matrices or None. rNg?)rsizenpminrelemwise_grad_to_diag)r rrowscols grad_valss r_gradz log1p._grad+sfyy|  yy 66&)  "6MVAYq[)I// 4FG Grc(|jddk\gS)z?Returns constraints describing the domain of the node. rr)rrs r_domainz log1p._domain@s ! "##r)r N)__name__ __module__ __qualname____doc__r r numpy_numericrrboolrr'rrr) __classcell__)rs@rrrsU' .. DdDj 1D H*$j)$rr) r-typingrrnumpyr!rcvxpy.atoms.elementwise.logrcvxpy.constraints.constraintrrrrr6s' +3*$C*$r