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  applied to the binary-digit sequence representation of data configurations. 
It is easy to show⚑ that 𝓁 has all the required properties of a metric. In 
addition, it has the following properties:
   * The minimum distance between any two distinct configurations is 1.
-  * The maximum distance between any two distinct configurations is the 
greater of their sizes: ∀a,b ∈ 𝔹: 𝓁(a, b) ≤ max(''S'',,a,,, ''S'',,b,,),
+  * The maximum distance between any two distinct configurations is the 
greater of their sizes: ∀a,b ∈ 𝔹: 𝓁(a, b) ≤ max(''S'',,a,,, ''S'',,b,,);
-  * from wich it follows that: ∀c ∈ 𝔹: 𝓁(𝑒, c) = ''S'',,c,,.
+   * from wich it follows that: ∀c ∈ 𝔹: 𝓁(𝑒, c) = ''S'',,c,,.
+  * All distances are non-negative integers.
  
  In the rest of this text, we'll specifically talk about (𝔹, 𝓁) — that is, the 
data configuration space with a Levenshtein distance metric; also referred to 
as ''[[http://en.wikipedia.org/wiki/Edit_distance|edit distance]]''. Even 
though the term "edit distance" is less precise in general, it fits the concept 
of ''edits'' (or ''edit transformations''), which we'll discuss later on.
  

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