// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// Code generated by the FlatBuffers compiler. DO NOT EDIT.

package flatbuf

import (
	flatbuffers 
)

// / ----------------------------------------------------------------------
// / A Schema describes the columns in a row batch
type Schema struct {
	_tab flatbuffers.Table
}

func ( []byte,  flatbuffers.UOffsetT) *Schema {
	 := flatbuffers.GetUOffsetT([:])
	 := &Schema{}
	.Init(, +)
	return 
}

func ( *Schema) ( []byte,  flatbuffers.UOffsetT) {
	._tab.Bytes = 
	._tab.Pos = 
}

func ( *Schema) () flatbuffers.Table {
	return ._tab
}

// / endianness of the buffer
// / it is Little Endian by default
// / if endianness doesn't match the underlying system then the vectors need to be converted
func ( *Schema) () Endianness {
	 := flatbuffers.UOffsetT(._tab.Offset(4))
	if  != 0 {
		return Endianness(._tab.GetInt16( + ._tab.Pos))
	}
	return 0
}

// / endianness of the buffer
// / it is Little Endian by default
// / if endianness doesn't match the underlying system then the vectors need to be converted
func ( *Schema) ( Endianness) bool {
	return ._tab.MutateInt16Slot(4, int16())
}

func ( *Schema) ( *Field,  int) bool {
	 := flatbuffers.UOffsetT(._tab.Offset(6))
	if  != 0 {
		 := ._tab.Vector()
		 += flatbuffers.UOffsetT() * 4
		 = ._tab.Indirect()
		.Init(._tab.Bytes, )
		return true
	}
	return false
}

func ( *Schema) () int {
	 := flatbuffers.UOffsetT(._tab.Offset(6))
	if  != 0 {
		return ._tab.VectorLen()
	}
	return 0
}

func ( *Schema) ( *KeyValue,  int) bool {
	 := flatbuffers.UOffsetT(._tab.Offset(8))
	if  != 0 {
		 := ._tab.Vector()
		 += flatbuffers.UOffsetT() * 4
		 = ._tab.Indirect()
		.Init(._tab.Bytes, )
		return true
	}
	return false
}

func ( *Schema) () int {
	 := flatbuffers.UOffsetT(._tab.Offset(8))
	if  != 0 {
		return ._tab.VectorLen()
	}
	return 0
}

// / Features used in the stream/file.
func ( *Schema) ( int) Feature {
	 := flatbuffers.UOffsetT(._tab.Offset(10))
	if  != 0 {
		 := ._tab.Vector()
		return Feature(._tab.GetInt64( + flatbuffers.UOffsetT(*8)))
	}
	return 0
}

func ( *Schema) () int {
	 := flatbuffers.UOffsetT(._tab.Offset(10))
	if  != 0 {
		return ._tab.VectorLen()
	}
	return 0
}

// / Features used in the stream/file.
func ( *Schema) ( int,  Feature) bool {
	 := flatbuffers.UOffsetT(._tab.Offset(10))
	if  != 0 {
		 := ._tab.Vector()
		return ._tab.MutateInt64(+flatbuffers.UOffsetT(*8), int64())
	}
	return false
}

func ( *flatbuffers.Builder) {
	.StartObject(4)
}
func ( *flatbuffers.Builder,  Endianness) {
	.PrependInt16Slot(0, int16(), 0)
}
func ( *flatbuffers.Builder,  flatbuffers.UOffsetT) {
	.PrependUOffsetTSlot(1, flatbuffers.UOffsetT(), 0)
}
func ( *flatbuffers.Builder,  int) flatbuffers.UOffsetT {
	return .StartVector(4, , 4)
}
func ( *flatbuffers.Builder,  flatbuffers.UOffsetT) {
	.PrependUOffsetTSlot(2, flatbuffers.UOffsetT(), 0)
}
func ( *flatbuffers.Builder,  int) flatbuffers.UOffsetT {
	return .StartVector(4, , 4)
}
func ( *flatbuffers.Builder,  flatbuffers.UOffsetT) {
	.PrependUOffsetTSlot(3, flatbuffers.UOffsetT(), 0)
}
func ( *flatbuffers.Builder,  int) flatbuffers.UOffsetT {
	return .StartVector(8, , 8)
}
func ( *flatbuffers.Builder) flatbuffers.UOffsetT {
	return .EndObject()
}