// expected-error@-1 {{'tf_device.replicate' expects 'n' to be at least 2, got 1}}
  }
  func.return
}

// -----

// Check that a replicate replicated inputs where operand sizes do not match
// 'n' is invalid.
func.func @parser_replicate_operand_count(%arg0: tensor<*xf32>) {
  tf_device.replicate([%arg0, %arg0, %arg0] as %input0: tensor<*xf32>) {n = 2 : i32} {

  return builder.create<TF::PadV2Op>(
      loc, input.getType(), input, temp_padding,
      CreateScalarConstValue<int8_t>(builder, loc, input_zp_value));
}

}  // namespace

// If input spatial sizes are dynamic (unknown) and padding is same, add ops to
// dynamically calculate padding size and add input_zp value Pad op with the
// padding.
// Otherwise, calculates padding with known numbers, and only for non-zero

	limbs []uint
}

// preallocTarget is the size in bits of the numbers used to implement the most
// common and most performant RSA key size. It's also enough to cover some of
// the operations of key sizes up to 4096.
const preallocTarget = 2048
const preallocLimbs = (preallocTarget + _W - 1) / _W

// NewNat returns a new nat with a size of zero, just like new(Nat), but with

      if (contentType != null) {
        sink.writeUtf8("Content-Type: ")
          .writeUtf8(contentType.toString())
          .write(CRLF)
      }

      // We can't measure the body's size without the sizes of its components.
      val contentLength = body.contentLength()
      if (contentLength == -1L && countBytes) {
        byteCountBuffer!!.clear()
        return -1L
      }

      sink.write(CRLF)

	case 84:
		return b.NewValue1(pos, OpTrunc64to32, types.Types[types.TUINT32], v)
	case 42:
		return b.NewValue1(pos, OpTrunc32to16, types.Types[types.TUINT16], v)
	default:
		base.Fatalf("bad sizes %d %d\n", from, to)
		return nil
	}
}
func zeroExtend(b *Block, pos src.XPos, v *Value, from, to int64) *Value {
	switch from*10 + to {
	case 24:

// having a full set of BoringCrypto headers), the struct details are not here.
// Instead, while building the syso, we compile and run a C++ program
// that checks that the sizes match. The program also checks (during compilation)
// that all the function prototypes match the BoringCrypto equivalents.
// The generation of the checking program depends on the declaration

		err = fmt.Errorf("Read(%d bytes at offset %d): %v", n, r.off, err)
	}
	r.off += n
	return n, err
}

// TestReader tests that reading from r returns the expected file content.
// It does reads of different sizes, until EOF.
// If r implements [io.ReaderAt] or [io.Seeker], TestReader also checks
// that those operations behave as they should.
//
// If TestReader finds any misbehaviors, it returns an error reporting them.

      return false;
    }
    val2_result *= val2_shape.getDimSize(idx);
  }

  return val1_result == val2_result;
}

// Checks if a shape has dim sizes of all ones except the right most dim.
bool ReshapableTo1DTensor(ShapedType rhs_shape) {
  for (auto rank = 0; rank < rhs_shape.getRank() - 1; rank++) {
    if (rhs_shape.getDimSize(rank) != 1) {
      return false;
    }

	"github.com/minio/minio/internal/once"
	"github.com/minio/minio/internal/store"
	xnet "github.com/minio/pkg/v3/net"
)

const (
	mysqlTableExists = `SELECT 1 FROM %s;`
	// Some MySQL has a 3072 byte limit on key sizes.
	mysqlCreateNamespaceTable = `CREATE TABLE %s (
             key_name VARCHAR(3072) NOT NULL,
             key_hash CHAR(64) GENERATED ALWAYS AS (SHA2(key_name, 256)) STORED NOT NULL PRIMARY KEY,
             value JSON)

}

// Restores the collapsed dimensions to the `tensor_type`. `collapsed_dims`
// designate the dimension indices that were collapsed to produce `tensor_type`.
// The restored dimensions' sizes are 1, according to the semantics of
// `XlaGatherOp (https://www.tensorflow.org/xla/operation_semantics#gather). The
// resulting type's shape has `tensor_type.size() + collapsed_dims.size()`
// dimensions.