bidZddlmZmZmZddlZddlmZde de deejfdZ de de deejfd Z deee ee ffd ZGd d eZy) aD Copyright 2017 Robin Verschueren, 2017 Akshay Agrawal 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. )ListOptionalTupleN) Reduction variablesvar_sizereturnct|Dcgc]}|jc}}|sytj|tj }d}|D]}|j rd||||j znU|jdF|jdd}tj||j d}|||||j z||j z }|Scc}w)zCoalesces lower bounds for the variables. Parameters ---------- variables: A list of the variables present in the problem. var_size: Size of the coalesced variable. NrboundsForder) any_has_lower_boundsnpfullinf is_nonnegsize attributesreshape) rrvarbounds_present lower_bounds vert_offsetxvar_lower_bound flatteneds [/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/cvxpy/reductions/matrix_stuffing.pyextract_lower_boundsr sYGc#//1GHN 778bffW-LK  ;;=;Stuffs a problem into a standard form for a family of solvers.Ncy)aReturns a stuffed problem. The returned problem is a minimization problem in which every constraint in the problem has affine arguments that are expressed in the form A @ x + b. Parameters ---------- problem: The problem to stuff; the arguments of every constraint must be affine Returns ------- Problem The stuffed problem InverseData Data for solution retrieval N)selfproblems rapplyzMatrixStuffing.applyfsctNNotImplementedError)r7solution inverse_datas rinvertzMatrixStuffing.invertz !##r:ctr<r=)r7r8r@s rstuffed_objectivez MatrixStuffing.stuffed_objective}rBr:)r N)__name__ __module__ __qualname____doc__r9rArDr6r:rr4r4csH ($$r:r4)rHtypingrrrnumpyrcvxpy.reductions.reductionrlistintndarrayr r'r2r4r6r:rrOs")(0DCHRZZ