Given a zero-based permutation nums (0-indexed), build an array ans of the same length where ans[i] = nums[nums[i]] for each 0 <= i < nums.length and return it. A zero-based permutation nums is an array of distinct integers from 0 to nums.length - 1 (inclusive). 示例1: 输入...
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static void ModifyCompilationEnvironment(const FGlobalShaderPermutationParameters& Parameters, FShaderCompilerEnvironment& OutEnvironment); #if ENGINE_MINOR_VERSION < 25 #if VOXEL_ENGINE_VERSION < 425 virtual bool Serialize(FArchive& Ar) override; #endif 2 changes: 1 addition & 1 deletion 2 Source/Vo...
"torch/csrc/lazy/core/permutation_util.cpp", "torch/csrc/lazy/core/shape.cpp", "torch/csrc/lazy/core/shape_inference.cpp", "torch/csrc/lazy/core/tensor.cpp", "torch/csrc/lazy/core/tensor_impl.cpp", "torch/csrc/lazy/core/tensor_util.cpp", "torch/csrc/lazy/core/thread_pool....
Each party chooses a random permutation (of indexes) * and applies it to values using PermuteRows. */ Matrix<DRes<SInt>> valuesOut = values.out(); final int height = valuesOut.getHeight(); if (height < 2) { return values; }
Part 1: Write a MATLAB function of the form L,U,P = get_lu(A) that accepts a square matrix A and returns the LU decomposition of A with the permutation matrix P. If A is rectangular or singular, then Consider the followi...
"torch/csrc/lazy/core/permutation_util.cpp", "torch/csrc/lazy/core/shape.cpp", "torch/csrc/lazy/core/shape_inference.cpp", "torch/csrc/lazy/core/tensor.cpp", "torch/csrc/lazy/core/tensor_impl.cpp", "torch/csrc/lazy/core/tensor_util.cpp", "torch/csrc/lazy/core/thread_pool....
/usr/include/eigen3/Eigen/src/Core/PermutationMatrix.h:523:1: note: template<class Derived, class PermutationDerived> const Eigen::internal::permut_matrix_product_retval<PermutationDerived, Derived, 1> Eigen::operator*(const Eigen::PermutationBase<PermutationDerived>&, const Eigen::MatrixBase<Derived...
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"torch/csrc/lazy/core/permutation_util.cpp", "torch/csrc/lazy/core/shape.cpp", "torch/csrc/lazy/core/shape_inference.cpp", "torch/csrc/lazy/core/tensor.cpp", "torch/csrc/lazy/core/tensor_impl.cpp", "torch/csrc/lazy/core/tensor_util.cpp", "torch/csrc/lazy/core/thread_pool....