ajv-keywords "^3.5.2"

serialize-javascript@6.0.0:
  version "6.0.0"
  resolved "https://registry.yarnpkg.com/serialize-javascript/-/serialize-javascript-6.0.0.tgz#efae5d88f45d7924141da8b5c3a7a7e663fefeb8"
  integrity sha512-Qr3TosvguFt8ePWqsvRfrKyQXIiW+nGbYpy8XK24NQHE83caxWt+mIymTT19DGFbNWNLfEwsrkSmN64lVWB9ag==
  dependencies:
    randombytes "^2.1.0"

serialize-javascript@^6.0.1:
  version "6.0.1"

  TF_ASSERT_OK(OpRegistry::Global()->LookUpOpDef("Add", &expected_op_def));
  string expected_serialized;
  expected_op_def->SerializeToString(&expected_serialized);
  string actual_string(reinterpret_cast<const char*>(buffer->data),
                       buffer->length);
  EXPECT_EQ(expected_serialized, actual_string);

  TF_GraphGetOpDef(graph, "MyFakeOp", buffer, status);

			if target == "" {
				continue
			}
			select {
			case s.immediatePurge <- target:
			default:
				// Too much back pressure, we will perform the delete
				// blocking at this point we need to serialize operations.
				removeAll(target)
			}
		}
	}

	return nil
}

// DeleteVersion - deletes FileInfo metadata for path at `xl.meta`. forceDelMarker

		//   inconsequential to the overall read operation.
		// - xl.meta metadata is still verified for quorum under lock()
		//   however writing the response doesn't need to serialize
		//   concurrent writers
		unlockOnDefer = true
		nsUnlocker = func() { lock.RUnlock(lkctx) }
	}

	fi, metaArr, onlineDisks, err := er.getObjectFileInfo(ctx, bucket, object, opts, true)
	if err != nil {

    VerifyFDefNodes(fdef, nodes);
    VerifyFDefInputs(fdef, inputs);
    VerifyFDefOutputs(fdef, outputs);
    VerifyFDefEdges(fdef, e_edges, c_edges, is_exact_edges);
  }

  // Serialize func_ to fdef and import it back
  void Reincarnate() {
    // func_ -> fdef
    tensorflow::FunctionDef fdef;
    ASSERT_TRUE(GetFunctionDef(func_, &fdef));
    TF_DeleteFunction(func_);

    // fdef -> func_

th]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!E.isPlainObject(e))E.each(e,function(){i(this.name,this.value)});else for(n in e)jt(n,e[n],t,i);return r.join("&")},E.fn.extend({serialize:function(){return E.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=E.prop(this,"elements");return e?E.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!E(this).is(":disabled")&&Nt....

th]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!E.isPlainObject(e))E.each(e,function(){i(this.name,this.value)});else for(n in e)jt(n,e[n],t,i);return r.join("&")},E.fn.extend({serialize:function(){return E.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=E.prop(this,"elements");return e?E.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!E(this).is(":disabled")&&Nt....

// Sets `value` to the binary-serialized TensorShapeProto of the value of
// `attr_name` attribute of `oper`.
TF_CAPI_EXPORT extern void TF_OperationGetAttrTensorShapeProto(
    TF_Operation* oper, const char* attr_name, TF_Buffer* value,
    TF_Status* status);

// Fills in `values` with binary-serialized TensorShapeProto values of the

        ->mutable_rewrite_options()
        ->set_min_graph_nodes(-1);
    string serialized_config;
    ASSERT_TRUE(config.SerializeToString(&serialized_config));
    TFE_OpSetAttrString(
        op, "config_proto",
        reinterpret_cast<const void*>(serialized_config.c_str()),
        serialized_config.length());
  }

  if (use_tfrt) {
    // Set some test-only graph compiler options.

		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = BackendType(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BackendType) Msgsize() (s int) {
	s = msgp.IntSize
	return
}

// MarshalMsg implements msgp.Marshaler
func (z *BucketInfo) MarshalMsg(b []byte) (o []byte, err error) {