for (auto input : inputs) {
    forward_op_->inputs.push_back(input);
  }
  return absl::OkStatus();
}

absl::Status SetAttrString(AbstractOperation* op_, const char* attr_name,
                           const char* data, size_t length,
                           ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, absl::string_view(data, length));

                               absl::Span<AbstractTensorHandle* const> inputs,
                               int input_index, bool use_function,
                               AbstractTensorHandle** numerical_grad) {
  vector<AbstractTensorHandle*> theta_inputs(inputs.size());
  for (int i{}; i < inputs.size(); ++i) {
    theta_inputs[i] = inputs[i];
  }

  AbstractTensorHandle* theta =

      for (ClosingFuture<?> input : inputs) {
        input.becomeSubsumedInto(closeables);
      }
    }

    /**
     * Returns a new {@code ClosingFuture} pipeline step derived from the inputs by applying a
     * combining function to their values. The function can use a {@link DeferredCloser} to capture
     * objects to be closed when the pipeline is done.
     *

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will

    }

    void assertHasImmediateCancel(
        ListenableFuture<String> a, ListenableFuture<String> b, Exception e) {
      ImmutableSet<ListenableFuture<String>> inputs = ImmutableSet.of(a, b);
      smartAssertTrue(inputs, e, intersect(inputs, ImmutableSet.of(doneCancelled)));
    }
  }

  /**

    }

    void assertHasImmediateCancel(
        ListenableFuture<String> a, ListenableFuture<String> b, Exception e) {
      ImmutableSet<ListenableFuture<String>> inputs = ImmutableSet.of(a, b);
      smartAssertTrue(inputs, e, intersect(inputs, ImmutableSet.of(doneCancelled)));
    }
  }

  /**

        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=null]", item.toString());

        item.setNewInput("updated");
        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=updated]", item.toString());

        item.setNewInput("");
        assertEquals("StopwordsItem [id=123, inputs=word, newInputs=]", item.toString());
    }

    @Test

        }
    }

    /**
     * Reloads the character mapping items from the provided input stream.
     * Parses mapping rules in the format: input1,input2,... => output
     *
     * @param updater the mapping updater to use for writing changes, or null for read-only reload
     * @param in the input stream to read the mapping data from
     */

      TF_AddGradientsWithPrefix(graph_, prefix, outputs, noutputs, inputs,
                                ninputs, grad_inputs, s_, grad_outputs);
    } else {
      TF_AddGradientsWithPrefix(graph_, prefix, outputs, noutputs, inputs,
                                ninputs, nullptr, s_, grad_outputs);
    }
  }

  void BuildErrorGraph(TF_Output* inputs, TF_Output* outputs) {

    void rejectsAnyNameReturnsFalse(String input) throws Exception {
        SmbFilenameFilter filter = (dir, name) -> false;

        boolean result = filter.accept(mockDir, input);

        assertFalse(result, "Filter should reject any provided name");
        verifyNoInteractions(mockDir);
    }

    /**
     * Edge: name-based filter behavior for diverse inputs.
     */
    @ParameterizedTest