org.junit.runners.model.FrameworkMethod); public void starting(org.junit.runners.model.FrameworkMethod); public void finished(org.junit.runners.model.FrameworkMethod); } org/junit/rules/Verifier$1.class package org.junit.rules; synchronized class Verifier$1 extends org.junit.runners.model.Statement { void Verifier$1(Verifier, org.junit.runners.model.Statement); public void evaluate() throws Throwable; } org/junit/rules/ExpectedException$ExpectedExceptionSta.class package org.junit.rules; synchronized class...

    // or sliced with a size of one.
    int output_elements = result_ty.getNumElements();
    int input_elements_sliced = 1;

    // Begin must be a ranked, 1-dimensional tensor: This is checked by the
    // verifier.
    int64_t slicing_dim_size =
        mlir::cast<RankedTensorType>(op.getBegin().getType()).getDimSize(0);
    uint64_t begin_mask = op.getBeginMask();
    uint64_t end_mask = op.getEndMask();