docs

README.md

@@ -186,17 +186,20 @@ quoteOfTheDay = quotes[ random.nextInt(quotes.length) ];
 
 # Compatibility
 
-TL;DR `Xrandom`, `Qrandom`, `Drandom` work on all platforms. Others may not work on JS.
+TL;DR `Xrandom`, `Qrandom`, `Drandom` work on all platforms. Others may not work
+on JS.
 
 The library is written in pure Dart. Therefore, it works wherever Dart works.
 
-But some of the classes need full support for 64-bit integers. 
-**JavaScript** actually only supports **53 bits**. If your target platform is JavaScript, then the selection will have to be 
-narrowed down to the options marked with **[✓] checkmark in the JS column**. Trying 
-to create a incompatible object in JavaScript-transpiled code will lead to `UnsupportedError`.
+But some of the classes need full support for 64-bit integers. *JavaScript**
+actually only supports **53 bits**. If your target platform is JavaScript, then
+the selection will have to be narrowed down to the options marked with **[✓]
+checkmark in the JS column**. Trying to create a incompatible object in
+JavaScript-transpiled code will lead to `UnsupportedError`.
 
-If your code compiles to native (like in **Flutter** apps for **Android** and **iOS**), 
-**64-bit** generators will work best for you. For example, `Xorshift64` for speed or `Xoshiro256pp` for quality.
+If your code compiles to native (like in **Flutter** apps for **Android** and
+*iOS**), *64-bit** generators will work best for you. For example, `Xorshift64`
+for speed or `Xoshiro256pp` for quality.
 
 # More benchmarks
 
@@ -223,28 +226,28 @@ library.
 
 # Consistency
 
-The library has been thoroughly **tested to match [reference numbers](https://github.com/rtmigo/randomref)** generated 
-by the same algorithms implemented in C++. Not only `int`s, but also numbers
-converted to `double` including all decimal places that the compiler takes 
-into account.
-
-The sources in C are taken directly from scientific publications or the 
-reference implementations by the authors of the algorithms. 
-The Xorshift128+ results are also matched to reference values from 
-[JavaScript xorshift library](https://github.com/AndreasMadsen/xorshift), 
-which tested the 128+ similarly.
-
-Therefore, the sequence generated for example by the 
-`Xoshiro128pp.nextRaw32()` with the seed `(1, 2, 3, 4)` is the same as the 
-[C99 code](https://prng.di.unimi.it/xoshiro128plusplus.c) will produce 
-with the same seed.
-
-The `double` values will also be the same as if the upper bits of `uint64_t` type 
-were converted to `double_t` in C99 by unsafe pointer casting. No matter how 
-exotic pointer casting sounds for Dart, and even more so for JavaScript.
-JavaScript doesn't even have any upper bits of `uint64_t`. But `double`s are 
-the same type everywhere, and their random values will be the same.
-
-Testing is done in the GitHub Actions cloud on **Windows**, **Ubuntu**, and 
-**macOS** in **VM** and **Node.js** modes.
+The library has been thoroughly **tested to match [reference
+numbers](https://github.com/rtmigo/randomref)** generated by the same algorithms
+implemented in C++. Not only `int`s, but also numbers converted to `double`
+including all decimal places that the compiler takes into account.
+
+The sources in C are taken directly from scientific publications or the
+reference implementations by the authors of the algorithms. The Xorshift128+
+results are also matched to reference values from [JavaScript xorshift
+library](https://github.com/AndreasMadsen/xorshift), which tested the 128+
+similarly.
+
+Therefore, the sequence generated for example by the `Xoshiro128pp.nextRaw32()`
+with the seed `(1, 2, 3, 4)` is the same as the [C99
+code](https://prng.di.unimi.it/xoshiro128plusplus.c) will produce with the same
+seed.
+
+The `double` values will also be the same as if the upper bits of `uint64_t`
+type were converted to `double_t` in C99 by unsafe pointer casting. No matter
+how exotic pointer casting sounds for Dart, and even more so for JavaScript.
+JavaScript doesn't even have any upper bits of `uint64_t`. But `double`s are the
+same type everywhere, and their random values will be the same.
+
+Testing is done in the GitHub Actions cloud on **Windows**, **Ubuntu**, and
+*macOS** in **VM** and **Node.js** modes.