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.gitignore

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@@ -47,6 +47,7 @@ playground.xcworkspace
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# .swiftpm
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.build/
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.swiftpm
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# CocoaPods
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#

Package.swift

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// swift-tools-version:5.5
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// The swift-tools-version declares the minimum version of Swift required to build this package.
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import PackageDescription
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.macOS(.v12),
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],
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products: [
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// Products define the executables and libraries a package produces, and make them visible to other packages.
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.library(
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name: "Lindenmayer",
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targets: ["Lindenmayer"]
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// .package(url: /* package url */, from: "1.0.0"),
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],
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targets: [
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// Targets are the basic building blocks of a package. A target can define a module or a test suite.
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// Targets can depend on other targets in this package, and on products in packages this package depends on.
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.target(
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name: "Lindenmayer",
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dependencies: []

README.md

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@@ -24,5 +24,5 @@ The features that I was most interested in leveraging:
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- Parameters within an L-system's modules and exposing them to grammar evaluation and production choices (parametric L-systems).
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- The introduction of random values with those parameters (stochastic grammars).
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While this project can be implemented using an interpretter, I wanted to see how far I could leverage the Swift language.
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While this project can be implemented using an interpreter, I wanted to see how far I could leverage the Swift language.
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This project attempts to follow in the conceptual footsteps of the L+C language to create a mechanism to create L-systems that compile down to machine code for efficiency of execution.

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