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Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

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Resources

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0 stars

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1 watching

Forks

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

Motivation

Why invent a new serialization system? My problems with JSON and XML are:

  • Data tend to be bulky when viewed in text editors
  • No pointer support
  • Duplication of information
  • Not self-transformative
  • Expression trees are enweildly
  • No support for predefined constants (ex. Pi)
  • Only support one root element or dataset per file

Trl.Serialization aims to adress these issues and create a compact human readable general-purpose data representation system based on the definition of terms. These terms should be familiar to any programmer because they are basically strings, numbers, and function symbols.

For example, let's say that you want to represent this data (JSON version):

[
{
"name": "Socrates",
"born": -470,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Plato",
"born": -423,
"location":
{
"city": "Athens",
"country": "Greece"
}
},
{
"name": "Aristotle",
"born": -384,
"location":
{
"city": "Stagira",
"country": "Greece"
}
}
]

Representing this information in the Term Rewriting Langauge (TRL) will give:

root:(p1,p2,p3);
p1 =>person<name,born,location>("Socrates",-470,athens);
p2 =>person<name,born,location>("Plato",-423,athens);
p3 =>person<name,born,location>("Aristotle",-384,stagira);
athens =>location<city,country>("Athens","Greece");
stagira =>location<city,country>("Stagira","Greece");

TRL is the language used by Trl.Serialization and is defined in Trl.TermDataRepresentation.

Simple example: Deserialization

Input:

root:(p1,p2,p3);
p1 =>Person<Name,Born,Location>("Socrates",-470,athens);
p2 =>Person<Name,Born,Location>("Plato",-423,athens);
p3 =>Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

Sample program showing deserialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Deserialize<List<Person>>(INPUT_DESERIALIZE);foreach(varpinphilosophers){Console.WriteLine($"Name = {p.Name}, Born = {p.Born}, Location = {p.Location.City}, Country = {p.Location.Country}");}

Output:

Name = Socrates, Born = -470, Location = Athens, Country = Greece
Name = Plato, Born = -423, Location = Athens, Country = Greece
Name = Aristotle, Born = -384, Location = Stagira, Country = Greece

Simple example: Serialization

Input:

staticLocationATHENS=newLocation{City="Athens",Country="Greece"};staticLocationSTAGIRA=newLocation{City="Stagira",Country="Greece"};staticPerson[]INPUT_SERIALIZE=newPerson[]{newPerson{Name="Socrates",Born=-470,Location=ATHENS},newPerson{Name="Plato",Born=-423,Location=ATHENS},newPerson{Name="Aristotle",Born=-384,Location=STAGIRA}};

Sample program showing serialization:

StringSerializerserializer=newStringSerializer();varphilosophers=serializer.Serialize(INPUT_SERIALIZE,prettyPrint:true);Console.WriteLine(philosophers);

Output:

root:(Person<Born,Location,Name>(-470,L0,"Socrates"),Person<Born,Location,Name>(-423,L0,"Plato"),Person<Born,Location,Name>(-384,Location<City,Country>("Stagira","Greece"),"Aristotle"));
L0 =>Location<City,Country>("Athens","Greece");

Multiple datasets in the same document

By convention, the root object being serialized/deserialized is referred to as root, ex.:

root:"Hello World";

Sometimes, you want to represent multiple datasets in the same file. For example, let's assume you want to be able to get Aristotles and Plato seperately. Then you could code it like this:

plato:Person<Name,Born,Location>("Plato",-423,athens);aristotle:Person<Name,Born,Location>("Aristotle",-384,stagira);
athens =>Location<City,Country>("Athens","Greece");
stagira =>Location<City,Country>("Stagira","Greece");

It is now possible to get the datasets seperately:

varplato=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"plato");vararistotle=serializer.Deserialize<Person>(INPUT_DESERIALIZE,"aristotle");

Custom term names and inheritance

Sometimes you need to deserialize classes with inheritance. In this case you must create explicit mappings to specify which term maps to which subclass. You could, for example, have these class definitions:

publicinterfaceIShape{}publicclassCircle:IShape{publicdoubleRadius{get;set;}}publicclassSquare:IShape{publicdoubleWidth{get;set;}}

The NameAndTypeMappings class is used to set up mappings to subtypes:

varnameMappings=newNameAndTypeMappings();nameMappings.MapTermNameToType<Circle>("circle");nameMappings.MapTermNameToType<Square>("square");

These mappings can then be used with deserialization:

varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);IShapecircle=serializer.Deserialize<IShape>("root: circle<Radius>(10);");IShapesquare=serializer.Deserialize<IShape>("root: square<Width>(10);");

Named constants

Sometimes it is convenient to use named constants in instead of values. For example, let's say that you want to define PI (3.14...). This can be done with the NameAndTypeMappings class, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapIdentifierNameToConstant("Pi",Math.PI);varoutput=serializer.Serialize(Math.PI);Console.WriteLine(output);

Output:

root:Pi;

Term serialization and deserialization using constructors and deconstructors

Sometimes you need to create objects by invoking their constructors. In this scenario, you need to not specify a class member mapping list. For example, you may want to represent a .NET DateTime object like this:

root:datetime(2020,10,13);

Constructors will automatically be invoked when no class member mappings are given. This code can be used for the deserialization:

stringINPUT_SERIALIZE="root: datetime(2020,10,13);";varoutput=serializer.Deserialize<DateTime>(INPUT_SERIALIZE);

Serialization is the opposite of this. During serialization we need something that is like a constructor for classes, but that gives you the constructor parameters as outputs. A neat new feature that fits this description very well is deconstructors, which were introduced in C# 7. Deconstructors can be written in classes or in extension methods. This allows us to create a deconstructor for the .NET build-in DateTime type:

publicstaticclassDateTimeExtensions{publicstaticvoidDeconstruct(thisDateTimedateTime,outintyear,outintmonth,outintday){year=dateTime.Year;month=dateTime.Month;day=dateTime.Day;}}

.NET deconstructors must have at least 2 out arguments. In Trl.Serialization decconstructors with 1 or 0 out parameters are also supported. Serialization code for making use of the DateTimeExtensions class looks like this:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapExtensionMethodDestructorsFromType(typeof(DateTimeExtensions));nameMappings.MapTermNameToType<DateTime>("datetime");DateTimeINPUT_DESERIALIZE=newDateTime(2020,7,8);varoutputSerialized=serializer.Serialize(INPUT_DESERIALIZE);

Building expression trees

With all of the above features in place, it is possible to create expression trees. A full example of how this might work is given in the sample console app in this repository.

The first step would be to define a base class or interface for expressions. In the sample app, this is done in the BinaryOperator class. After this, the child classes used to represent expression tree operators need to be registered, ex.:

varnameMappings=newNameAndTypeMappings();varserializer=newStringSerializer(nameAndTypeMappings:nameMappings);nameMappings.MapTermNameToType<Add>("add");nameMappings.MapTermNameToType<Sub>("sub");nameMappings.MapTermNameToType<Mul>("mul");nameMappings.MapTermNameToType<Div>("div");

In this code sample, the Add, Sub, Mul, and Div subclasses inherits from BinaryOperator. Each of this example, the subclasses also implement an interface called IExpression defining the Calculate method.

All of this could be used for deserialization and executing the expression tree:

stringINPUT_DESERIALIZE="root: div(mul(4,sub(add(3,2),1)),5);";IExpressionexpr=serializer.Deserialize<IExpression>(INPUT_DESERIALIZE);Console.WriteLine($"Result = {expr.Calculate()}");

Installation via Nuget

See https://www.nuget.org/packages/Trl.Serialization/ for nuget package.

Unit Test Code Coverage

Unit tests can be run using the .\test.ps1 script. This will generate a code coverage report in the .\UnitTestCoverageReport folder using Coverlet and ReportGenerator.

Code Coverage

Licence

Trl.Serialization is released under the MIT open source licence. See LICENCE.txt in this repository for the full text.

About

Trl.Serialization aims to create a compact human readable general-purpose data representation system based on the definition of terms. These _terms_ should be familiar to any programmer because they are basically strings, numbers, and function symbols. This is exposed as a serialiser and deserialiser to make it useful for most applications.

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