#include "tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.h"

#include <cstdint>
#include <limits>
#include <optional>
#include <string>
#include <vector>

#include "absl/base/casts.h"
#include "absl/container/inlined_vector.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/APFloat.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/SmallVector.h"

SET_BASE_UNITS_FOR_TYPE(complex128, ({{1, 0}, {0, 1}}));

// SetJacobian sets the jacobian value at the provided row and column from a
// tensor entry with type T.
// When T is real, this is a simple assignment that casts the entry into the
// jacobian type.
// When T is complex, it assigns the real and complex values to successive rows
// or columns in the matrix depending on the expand_by_row parameter
template <typename T, typename JAC_T>

#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/cluster.pb.h"

        } else if (things.length == 1) {
            Object thing = things[0];

            if (thing == null) {
                return Collections.singletonList(null);
            }

            // Casts to Class below are to workaround Eclipse compiler bug
            // See: https://github.com/gradle/gradle/pull/200

            if (thing.getClass().isArray()) {
                Object[] thingArray = (Object[]) thing;

#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/blocking_counter.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/init_main.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/net.h"
#include "tensorflow/core/platform/platform.h"

        } else if (things.length == 1) {
            Object thing = things[0];

            if (thing == null) {
                return Collections.singletonList(null);
            }

            // Casts to Class below are to workaround Eclipse compiler bug
            // See: https://github.com/gradle/gradle/pull/200

            if (thing.getClass().isArray()) {
                Object[] thingArray = (Object[]) thing;

#include "tensorflow/core/lib/monitoring/counter.h"
#include "tensorflow/core/lib/monitoring/gauge.h"
#include "tensorflow/core/lib/monitoring/sampler.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/strcat.h"
#include "tsl/framework/cancellation.h"

using tensorflow::string;

      return unsafeDoBackward(b);
    }
  }

  /*
   * LegacyConverter violates the contract of Converter by allowing its doForward and doBackward
   * methods to accept null. We could avoid having unchecked casts in Converter.java itself if we
   * could perform a cast to LegacyConverter, but we can't because it's an internal-only class.
   *
   * TODO(cpovirk): So make it part of the open-source build, albeit package-private there?

- [`KT-65443`](https://youtrack.jetbrains.com/issue/KT-65443) [K/N] Implement header caches
- [`KT-4113`](https://youtrack.jetbrains.com/issue/KT-4113) Smart casts for properties to not-null functional types at `invoke` calls
- [`KT-65681`](https://youtrack.jetbrains.com/issue/KT-65681) K2: Improve error message of UPPER_BOUND_VIOLATED when upper bound is a captured type or other non-denotable type

      return unsafeDoBackward(b);
    }
  }

  /*
   * LegacyConverter violates the contract of Converter by allowing its doForward and doBackward
   * methods to accept null. We could avoid having unchecked casts in Converter.java itself if we
   * could perform a cast to LegacyConverter, but we can't because it's an internal-only class.
   *
   * TODO(cpovirk): So make it part of the open-source build, albeit package-private there?