2021-03-22 14:32:08 +03:00
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# Module kmath-ast
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2020-06-15 11:02:13 +03:00
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2022-02-05 00:27:10 +03:00
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Extensions to MST API: transformations, dynamic compilation and visualization.
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2020-06-21 16:23:50 +03:00
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2024-03-27 09:51:23 +03:00
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- [expression-language](src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
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- [mst-jvm-codegen](src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler
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- [mst-js-codegen](src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler
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- [rendering](src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt) : Extendable MST rendering
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2020-06-21 16:23:50 +03:00
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2021-03-22 14:32:08 +03:00
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## Artifact:
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2024-03-27 09:51:23 +03:00
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The Maven coordinates of this project are `space.kscience:kmath-ast:0.4.0`.
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2021-03-22 14:32:08 +03:00
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**Gradle Kotlin DSL:**
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```kotlin
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repositories {
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maven("https://repo.kotlin.link")
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mavenCentral()
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2021-03-22 14:32:08 +03:00
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}
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dependencies {
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implementation("space.kscience:kmath-ast:0.4.0")
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}
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```
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2020-06-27 18:18:58 +03:00
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2022-02-05 00:27:10 +03:00
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## Parsing expressions
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2024-03-27 09:11:12 +03:00
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In this module there is a parser from human-readable strings like `"x^3-x+3"` (in the more
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specific [grammar](reference/ArithmeticsEvaluator.g4)) to MST instances.
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Supported literals:
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1. Constants and variables (consist of latin letters, digits and underscores, can't start with digit): `x`, `_Abc2`.
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2. Numbers: `123`, `1.02`, `1e10`, `1e-10`, `1.0e+3`—all parsed either as `kotlin.Long` or `kotlin.Double`.
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Supported binary operators (from the highest precedence to the lowest one):
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1. `^`
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2. `*`, `/`
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3. `+`, `-`
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Supported unary operator:
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1. `-`, e. g. `-x`
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2024-03-27 09:11:12 +03:00
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Arbitrary unary and binary functions are also supported: names consist of latin letters, digits and underscores, can't
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start with digit. Examples:
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1. `sin(x)`
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2. `add(x, y)`
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2020-12-22 12:00:51 +03:00
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## Dynamic expression code generation
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### On JVM
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2021-05-03 00:14:19 +03:00
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`kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds a
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special implementation of `Expression<T>` with implemented `invoke` function.
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For example, the following code:
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```kotlin
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import space.kscience.kmath.asm.compileToExpression
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import space.kscience.kmath.operations.DoubleField
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2022-03-31 22:23:34 +03:00
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"x^3-x+3".parseMath().compileToExpression(DoubleField)
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```
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2022-02-05 00:27:10 +03:00
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… leads to generation of bytecode, which can be decompiled to the following Java class:
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```java
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import java.util.*;
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import kotlin.jvm.functions.*;
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import space.kscience.kmath.asm.internal.*;
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import space.kscience.kmath.complex.*;
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import space.kscience.kmath.expressions.*;
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public final class CompiledExpression_45045_0 implements Expression<Complex> {
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private final Object[] constants;
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public Complex invoke(Map<Symbol, ? extends Complex> arguments) {
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Complex var2 = (Complex)MapIntrinsics.getOrFail(arguments, "x");
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return (Complex)((Function2)this.constants[0]).invoke(var2, (Complex)this.constants[1]);
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}
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}
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```
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2022-03-31 22:23:34 +03:00
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For `LongRing`, `IntRing`, and `DoubleField` specialization is supported for better performance:
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```java
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import java.util.*;
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import space.kscience.kmath.asm.internal.*;
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import space.kscience.kmath.expressions.*;
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public final class CompiledExpression_-386104628_0 implements DoubleExpression {
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private final SymbolIndexer indexer;
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public SymbolIndexer getIndexer() {
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return this.indexer;
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}
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public double invoke(double[] arguments) {
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double var2 = arguments[0];
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return Math.pow(var2, 3.0D) - var2 + 3.0D;
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}
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public final Double invoke(Map<Symbol, ? extends Double> arguments) {
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double var2 = ((Double)MapIntrinsics.getOrFail(arguments, "x")).doubleValue();
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return Math.pow(var2, 3.0D) - var2 + 3.0D;
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}
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}
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```
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2024-03-27 09:11:12 +03:00
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Setting JVM system property `space.kscience.kmath.ast.dump.generated.classes` to `1` makes the translator dump class
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files to program's working directory, so they can be reviewed manually.
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#### Limitations
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- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class
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loading overhead.
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- This API is not supported by non-dynamic JVM implementations like TeaVM or GraalVM Native Image because they may not
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support class loaders.
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2020-12-22 12:00:51 +03:00
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### On JS
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A similar feature is also available on JS.
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```kotlin
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import space.kscience.kmath.expressions.Symbol.Companion.x
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import space.kscience.kmath.expressions.*
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import space.kscience.kmath.operations.*
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import space.kscience.kmath.estree.*
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2021-05-26 16:24:29 +03:00
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MstField { x + 2 }.compileToExpression(DoubleField)
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```
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The code above returns expression implemented with such a JS function:
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```js
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var executable = function (constants, arguments) {
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return constants[1](constants[0](arguments, "x"), 2);
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};
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```
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2021-05-07 15:59:21 +03:00
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JS also supports experimental expression optimization with [WebAssembly](https://webassembly.org/) IR generation.
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Currently, only expressions inside `DoubleField` and `IntRing` are supported.
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```kotlin
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import space.kscience.kmath.expressions.Symbol.Companion.x
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import space.kscience.kmath.expressions.*
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import space.kscience.kmath.operations.*
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import space.kscience.kmath.wasm.*
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MstField { x + 2 }.compileToExpression(DoubleField)
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```
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2021-04-23 04:49:01 +03:00
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An example of emitted Wasm IR in the form of WAT:
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```lisp
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(func \$executable (param \$0 f64) (result f64)
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(f64.add
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(local.get \$0)
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(f64.const 2)
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)
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)
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```
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#### Limitations
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- ESTree expression compilation uses `eval` which can be unavailable in several environments.
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- WebAssembly isn't supported by old versions of browsers (see https://webassembly.org/roadmap/).
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2021-03-25 19:57:47 +03:00
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## Rendering expressions
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kmath-ast also includes an extensible engine to display expressions in LaTeX or MathML syntax.
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Example usage:
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```kotlin
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import space.kscience.kmath.ast.*
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import space.kscience.kmath.ast.rendering.*
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import space.kscience.kmath.misc.*
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@OptIn(UnstableKMathAPI::class)
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public fun main() {
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val mst = "exp(sqrt(x))-asin(2*x)/(2e10+x^3)/(12)+x^(2/3)".parseMath()
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val syntax = FeaturedMathRendererWithPostProcess.Default.render(mst)
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val latex = LatexSyntaxRenderer.renderWithStringBuilder(syntax)
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println("LaTeX:")
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println(latex)
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println()
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val mathML = MathMLSyntaxRenderer.renderWithStringBuilder(syntax)
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println("MathML:")
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println(mathML)
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}
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```
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Result LaTeX:
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$$\operatorname{exp}\\,\left(\sqrt{x}\right)-\frac{\frac{\operatorname{arcsin}\\,\left(2\\,x\right)
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}{2\times10^{10}+x^{3}}}{12}+x^{2/3}$$
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Result MathML (can be used with MathJax or other renderers):
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<details>
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```html
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<math xmlns="https://www.w3.org/1998/Math/MathML">
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<mrow>
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<mo>exp</mo>
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<mspace width="0.167em"></mspace>
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<mfenced open="(" close=")" separators="">
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<msqrt>
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<mi>x</mi>
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</msqrt>
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</mfenced>
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<mo>-</mo>
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<mfrac>
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<mrow>
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<mfrac>
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<mrow>
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<mo>arcsin</mo>
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<mspace width="0.167em"></mspace>
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<mfenced open="(" close=")" separators="">
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<mn>2</mn>
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<mspace width="0.167em"></mspace>
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<mi>x</mi>
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</mfenced>
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</mrow>
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<mrow>
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<mn>2</mn>
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<mo>×</mo>
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<msup>
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<mrow>
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<mn>10</mn>
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</mrow>
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<mrow>
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<mn>10</mn>
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</mrow>
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</msup>
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<mo>+</mo>
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<msup>
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<mrow>
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<mi>x</mi>
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</mrow>
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<mrow>
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<mn>3</mn>
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</mrow>
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</msup>
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</mrow>
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</mfrac>
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</mrow>
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<mrow>
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<mn>12</mn>
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</mrow>
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</mfrac>
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<mo>+</mo>
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<msup>
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<mrow>
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<mi>x</mi>
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</mrow>
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<mrow>
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<mn>2</mn>
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<mo>/</mo>
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<mn>3</mn>
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</mrow>
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</msup>
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</mrow>
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</math>
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```
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</details>
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It is also possible to create custom algorithms of render, and even add support of other markup languages
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(see API reference).
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