output.count("Transformed") == 2
        isTransformed("lib1.jar", "lib1.jar.value")
        isTransformed("lib2.jar", "lib2.jar.value")

        when:
        succeeds ":util:resolve", ":app:resolve"

        then:
        output.count("files 1: [lib1.jar.value, lib2.jar.value]") == 2

        output.count("Transformed") == 0

        where:
        type           | value

  let description = [{
    This pass transforms functional control flow operations in the TensorFlow
    dialect to their region-based counterparts, i.e., `tf.If` is transformed to
    `tf.IfRegion` and `tf.While` is transformed to `tf.WhileRegion`.

    For example, this functional operation

    ```mlir
      %0 = "tf.If"(%arg0, %arg1) {

   * the transformer is capable of accepting null inputs. The transformed map might contain null
   * values if the transformer sometimes gives a null result.
   *
   * <p>The returned map is not thread-safe or serializable, even if the underlying map is.
   *
   * <p>The transformer is applied lazily, invoked when needed. This is necessary for the returned

   * the transformer is capable of accepting null inputs. The transformed map might contain null
   * values if the transformer sometimes gives a null result.
   *
   * <p>The returned map is not thread-safe or serializable, even if the underlying map is.
   *
   * <p>The transformer is applied lazily, invoked when needed. This is necessary for the returned

        output.cancel(false);
        throw new MyRuntimeException();
      }
    }
    Transformer transformer = new Transformer();
    SettableFuture<Object> input = SettableFuture.create();

    ListenableFuture<Object> output = transform(input, transformer, directExecutor());
    transformer.output = output;

    input.set("foo");
    assertTrue(output.isCancelled());
  }

        output.cancel(false);
        throw new MyRuntimeException();
      }
    }
    Transformer transformer = new Transformer();
    SettableFuture<Object> input = SettableFuture.create();

    ListenableFuture<Object> output = transform(input, transformer, directExecutor());
    transformer.output = output;

    input.set("foo");
    assertTrue(output.isCancelled());
  }

			// offset from the start of the compile unit.
			o = ldr.SymValue(rs) + r.Add() - ldr.SymValue(loader.Sym(ldr.SymUnit(rs).Textp[0]))

		// r.Sym() can be 0 when CALL $(constant) is transformed from absolute PC to relative PC call.
		case objabi.R_GOTPCREL:
			if target.IsDynlinkingGo() && target.IsDarwin() && rs != 0 {
				nExtReloc++
				o = r.Add()
				break
			}

          <name>pomFile</name>
          <version>4.1.0+</version>
          <required>false</required>
          <description>Originating POM file</description>
          <type>DOM</type> <!-- This is transformed to a File/Path in the template -->
        </field>

        <!-- ====================================================================== -->

// -----

// Tests that when the weight tensor for `stablehlo.dot_general` has a
// `stablehlo.constant` -> `stablehlo.transpose` pattern, the
// `stablehlo.constant` is directly transformed to `tfl.pseudo_qconst`, which
// becomes the rhs of `tfl.fully_connected`. This is because
// `tfl.fully_connected` accepts a [o, i] format for rhs, which
// `stablehlo.constant` op already has before the transpose.

  for (auto pair : llvm::zip(op.getResults(), unpack_unary_op.getResults())) {
    OpResult old_result = std::get<0>(pair);  // result of original Unpack
    OpResult new_result = std::get<1>(pair);  // result of transformed Unpack
    for (Operation *user : llvm::make_early_inc_range(old_result.getUsers()))
      rewriter.replaceOp(user, ValueRange(new_result));
  }

  // Erase original unpack operation.