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gbaydingbaydin
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bernoulli, beta, exponential, gamma, lognormal
1 parent 5a5ecae commit ed860ef

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+4734
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‎cpp/ppx_generated.h

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‎csharp/ppx/Bernoulli.cs

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// <auto-generated>
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// automatically generated by the FlatBuffers compiler, do not modify
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// </auto-generated>
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namespace ppx
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{
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using global::System;
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using global::System.Collections.Generic;
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using global::FlatBuffers;
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public struct Bernoulli : IFlatbufferObject
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{
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private Table __p;
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public ByteBuffer ByteBuffer { get { return __p.bb; } }
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public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_1_12_0(); }
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public static Bernoulli GetRootAsBernoulli(ByteBuffer _bb) { return GetRootAsBernoulli(_bb, new Bernoulli()); }
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public static Bernoulli GetRootAsBernoulli(ByteBuffer _bb, Bernoulli obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
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public Bernoulli __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public ppx.Tensor? Probs { get { int o = __p.__offset(4); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public static Offset<ppx.Bernoulli> CreateBernoulli(FlatBufferBuilder builder,
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Offset<ppx.Tensor> probsOffset = default(Offset<ppx.Tensor>)) {
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builder.StartTable(1);
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Bernoulli.AddProbs(builder, probsOffset);
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return Bernoulli.EndBernoulli(builder);
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}
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public static void StartBernoulli(FlatBufferBuilder builder) { builder.StartTable(1); }
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public static void AddProbs(FlatBufferBuilder builder, Offset<ppx.Tensor> probsOffset) { builder.AddOffset(0, probsOffset.Value, 0); }
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public static Offset<ppx.Bernoulli> EndBernoulli(FlatBufferBuilder builder) {
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int o = builder.EndTable();
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return new Offset<ppx.Bernoulli>(o);
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}
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};
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}

‎csharp/ppx/Beta.cs

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// <auto-generated>
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// automatically generated by the FlatBuffers compiler, do not modify
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// </auto-generated>
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namespace ppx
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{
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using global::System;
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using global::System.Collections.Generic;
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using global::FlatBuffers;
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public struct Beta : IFlatbufferObject
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{
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private Table __p;
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public ByteBuffer ByteBuffer { get { return __p.bb; } }
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public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_1_12_0(); }
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public static Beta GetRootAsBeta(ByteBuffer _bb) { return GetRootAsBeta(_bb, new Beta()); }
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public static Beta GetRootAsBeta(ByteBuffer _bb, Beta obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
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public Beta __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public ppx.Tensor? Concentration1 { get { int o = __p.__offset(4); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public ppx.Tensor? Concentration0 { get { int o = __p.__offset(6); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public static Offset<ppx.Beta> CreateBeta(FlatBufferBuilder builder,
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Offset<ppx.Tensor> concentration1Offset = default(Offset<ppx.Tensor>),
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Offset<ppx.Tensor> concentration0Offset = default(Offset<ppx.Tensor>)) {
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builder.StartTable(2);
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Beta.AddConcentration0(builder, concentration0Offset);
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Beta.AddConcentration1(builder, concentration1Offset);
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return Beta.EndBeta(builder);
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}
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public static void StartBeta(FlatBufferBuilder builder) { builder.StartTable(2); }
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public static void AddConcentration1(FlatBufferBuilder builder, Offset<ppx.Tensor> concentration1Offset) { builder.AddOffset(0, concentration1Offset.Value, 0); }
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public static void AddConcentration0(FlatBufferBuilder builder, Offset<ppx.Tensor> concentration0Offset) { builder.AddOffset(1, concentration0Offset.Value, 0); }
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public static Offset<ppx.Beta> EndBeta(FlatBufferBuilder builder) {
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int o = builder.EndTable();
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return new Offset<ppx.Beta>(o);
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}
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};
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}

‎csharp/ppx/Distribution.cs

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Uniform = 2,
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Categorical = 3,
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Poisson = 4,
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Bernoulli = 5,
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Beta = 6,
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Exponential = 7,
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Gamma = 8,
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LogNormal = 9,
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};
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‎csharp/ppx/Exponential.cs

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// <auto-generated>
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// automatically generated by the FlatBuffers compiler, do not modify
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// </auto-generated>
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namespace ppx
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{
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using global::System;
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using global::System.Collections.Generic;
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using global::FlatBuffers;
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public struct Exponential : IFlatbufferObject
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{
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private Table __p;
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public ByteBuffer ByteBuffer { get { return __p.bb; } }
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public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_1_12_0(); }
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public static Exponential GetRootAsExponential(ByteBuffer _bb) { return GetRootAsExponential(_bb, new Exponential()); }
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public static Exponential GetRootAsExponential(ByteBuffer _bb, Exponential obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
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public Exponential __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public ppx.Tensor? Rate { get { int o = __p.__offset(4); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public static Offset<ppx.Exponential> CreateExponential(FlatBufferBuilder builder,
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Offset<ppx.Tensor> rateOffset = default(Offset<ppx.Tensor>)) {
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builder.StartTable(1);
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Exponential.AddRate(builder, rateOffset);
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return Exponential.EndExponential(builder);
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}
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public static void StartExponential(FlatBufferBuilder builder) { builder.StartTable(1); }
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public static void AddRate(FlatBufferBuilder builder, Offset<ppx.Tensor> rateOffset) { builder.AddOffset(0, rateOffset.Value, 0); }
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public static Offset<ppx.Exponential> EndExponential(FlatBufferBuilder builder) {
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int o = builder.EndTable();
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return new Offset<ppx.Exponential>(o);
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}
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};
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}

‎csharp/ppx/Gamma.cs

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// <auto-generated>
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// automatically generated by the FlatBuffers compiler, do not modify
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// </auto-generated>
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namespace ppx
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{
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using global::System;
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using global::System.Collections.Generic;
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using global::FlatBuffers;
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public struct Gamma : IFlatbufferObject
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{
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private Table __p;
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public ByteBuffer ByteBuffer { get { return __p.bb; } }
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public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_1_12_0(); }
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public static Gamma GetRootAsGamma(ByteBuffer _bb) { return GetRootAsGamma(_bb, new Gamma()); }
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public static Gamma GetRootAsGamma(ByteBuffer _bb, Gamma obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
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public Gamma __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public ppx.Tensor? Concentration { get { int o = __p.__offset(4); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public ppx.Tensor? Rate { get { int o = __p.__offset(6); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public static Offset<ppx.Gamma> CreateGamma(FlatBufferBuilder builder,
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Offset<ppx.Tensor> concentrationOffset = default(Offset<ppx.Tensor>),
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Offset<ppx.Tensor> rateOffset = default(Offset<ppx.Tensor>)) {
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builder.StartTable(2);
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Gamma.AddRate(builder, rateOffset);
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Gamma.AddConcentration(builder, concentrationOffset);
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return Gamma.EndGamma(builder);
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}
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public static void StartGamma(FlatBufferBuilder builder) { builder.StartTable(2); }
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public static void AddConcentration(FlatBufferBuilder builder, Offset<ppx.Tensor> concentrationOffset) { builder.AddOffset(0, concentrationOffset.Value, 0); }
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public static void AddRate(FlatBufferBuilder builder, Offset<ppx.Tensor> rateOffset) { builder.AddOffset(1, rateOffset.Value, 0); }
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public static Offset<ppx.Gamma> EndGamma(FlatBufferBuilder builder) {
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int o = builder.EndTable();
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return new Offset<ppx.Gamma>(o);
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}
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};
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}

‎csharp/ppx/LogNormal.cs

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// <auto-generated>
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// automatically generated by the FlatBuffers compiler, do not modify
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// </auto-generated>
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namespace ppx
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{
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using global::System;
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using global::System.Collections.Generic;
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using global::FlatBuffers;
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public struct LogNormal : IFlatbufferObject
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{
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private Table __p;
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public ByteBuffer ByteBuffer { get { return __p.bb; } }
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public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_1_12_0(); }
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public static LogNormal GetRootAsLogNormal(ByteBuffer _bb) { return GetRootAsLogNormal(_bb, new LogNormal()); }
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public static LogNormal GetRootAsLogNormal(ByteBuffer _bb, LogNormal obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
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public LogNormal __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public ppx.Tensor? Loc { get { int o = __p.__offset(4); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public ppx.Tensor? Scale { get { int o = __p.__offset(6); return o != 0 ? (ppx.Tensor?)(new ppx.Tensor()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
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public static Offset<ppx.LogNormal> CreateLogNormal(FlatBufferBuilder builder,
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Offset<ppx.Tensor> locOffset = default(Offset<ppx.Tensor>),
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Offset<ppx.Tensor> scaleOffset = default(Offset<ppx.Tensor>)) {
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builder.StartTable(2);
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LogNormal.AddScale(builder, scaleOffset);
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LogNormal.AddLoc(builder, locOffset);
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return LogNormal.EndLogNormal(builder);
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}
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public static void StartLogNormal(FlatBufferBuilder builder) { builder.StartTable(2); }
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public static void AddLoc(FlatBufferBuilder builder, Offset<ppx.Tensor> locOffset) { builder.AddOffset(0, locOffset.Value, 0); }
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public static void AddScale(FlatBufferBuilder builder, Offset<ppx.Tensor> scaleOffset) { builder.AddOffset(1, scaleOffset.Value, 0); }
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public static Offset<ppx.LogNormal> EndLogNormal(FlatBufferBuilder builder) {
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int o = builder.EndTable();
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return new Offset<ppx.LogNormal>(o);
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}
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};
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}

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