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Diffstat (limited to 'docs/doc')
| -rw-r--r-- | docs/doc/leading.html | 2 | ||||
| -rw-r--r-- | docs/doc/primitive.html | 2 | ||||
| -rw-r--r-- | docs/doc/train.html | 2 |
3 files changed, 3 insertions, 3 deletions
diff --git a/docs/doc/leading.html b/docs/doc/leading.html index 45f0a83a..e7fd7fcb 100644 --- a/docs/doc/leading.html +++ b/docs/doc/leading.html @@ -81,7 +81,7 @@ </span>⟨ 3 2 1 ⟩ </pre> <h3 id="comparing-cells">Comparing cells</h3> -<p>The functions in the last section manipulate cells in the same way regardless of what data they contain. Other functions compare cells to each other, either testing whether they match or how they are ordered relative to one another. The two Grade functions <code><span class='Function'>⍋⍒</span></code>, and the self-comparison functions Unique Mask (<code><span class='Function'>∊</span></code>) and Occurrence Count (<code><span class='Function'>⊒</span></code>), each give a list result, with one number for each cell. We can see below that Occurrence Count returns the same results even as we make the argument cells more complicated, because the changes made preserve the matching of cells.</p> +<p>The functions in the last section manipulate cells in the same way regardless of what data they contain. Other functions compare cells to each other, either testing whether they match or how they are ordered relative to one another. The two Grade functions <code><span class='Function'>⍋⍒</span></code>, and the self-comparison functions Classify (<code><span class='Function'>⊐</span></code>), Mark Firsts (<code><span class='Function'>∊</span></code>), and Occurrence Count (<code><span class='Function'>⊒</span></code>), each give a list result, with one number for each cell. We can see below that Occurrence Count returns the same results even as we make the argument cells more complicated, because the changes made preserve the matching of cells.</p> <a class="replLink" title="Open in the REPL" target="_blank" href="https://mlochbaum.github.io/BQN/try.html#code=cyDihpAgImFicmFjYWRhYnJhIgriipIgcwriipIg4omNy5ggcwriipIgcyDiiL7ijokw4oC/MSAic3VmZml4Ig==">↗️</a><pre> <span class='Value'>s</span> <span class='Gets'>←</span> <span class='String'>"abracadabra"</span> <span class='Function'>⊒</span> <span class='Value'>s</span> ⟨ 0 0 0 1 0 2 0 3 1 1 4 ⟩ diff --git a/docs/doc/primitive.html b/docs/doc/primitive.html index a77ae4e6..c9259a96 100644 --- a/docs/doc/primitive.html +++ b/docs/doc/primitive.html @@ -214,7 +214,7 @@ </tr> <tr> <td><code><span class='Function'>∊</span></code></td> -<td><a href="https://aplwiki.com/wiki/Nub_Sieve">Unique Mask</a></td> +<td><a href="https://aplwiki.com/wiki/Nub_Sieve">Mark Firsts</a></td> <td><a href="https://aplwiki.com/wiki/Membership">Member of</a></td> </tr> <tr> diff --git a/docs/doc/train.html b/docs/doc/train.html index 4ae23b13..23348229 100644 --- a/docs/doc/train.html +++ b/docs/doc/train.html @@ -41,7 +41,7 @@ </pre> <p>In a train, arguments alternate strictly with combining functions between them. Arguments can be either functions or subjects, except for the rightmost one, which has to be a function to indicate that the expression is a train. Trains tend to be shorter than subject expressions partly because to keep track of this alternation in a train of all functions, you need to know where each function is relative to the end of the train (subjects like the <code><span class='Number'>¯1</span></code> above only occur as left arguments, so they can also serve as anchors).</p> <h2 id="practice-training">Practice training</h2> -<p>The train <code><span class='Function'>⊢></span><span class='Number'>¯1</span><span class='Function'>»⌈</span><span class='Modifier'>`</span></code> is actually a nice trick for getting the unique mask <code><span class='Function'>∊</span><span class='Value'>𝕩</span></code> from the self-classify <code><span class='Function'>⊐</span><span class='Value'>𝕩</span></code> without doing another search. Let's take a closer look, first by applying it mechanically. To do this, we apply each "argument" to the train's argument, and then combine them with the combining functions.</p> +<p>The train <code><span class='Function'>⊢></span><span class='Number'>¯1</span><span class='Function'>»⌈</span><span class='Modifier'>`</span></code> is actually a nice trick for marking first occurrences <code><span class='Function'>∊</span><span class='Value'>𝕩</span></code> given the self-classify <code><span class='Function'>⊐</span><span class='Value'>𝕩</span></code> without doing another search. Let's take a closer look, first by applying it mechanically. To do this, we apply each "argument" to the train's argument, and then combine them with the combining functions.</p> <pre><span class='Paren'>(</span><span class='Function'>⊢</span> <span class='Function'>></span> <span class='Number'>¯1</span> <span class='Function'>»</span> <span class='Function'>⌈</span><span class='Modifier'>`</span><span class='Paren'>)</span> <span class='Value'>𝕩</span> <span class='Paren'>(</span><span class='Function'>⊢</span><span class='Value'>𝕩</span><span class='Paren'>)</span> <span class='Function'>></span> <span class='Paren'>(</span><span class='Number'>¯1</span><span class='Paren'>)</span> <span class='Function'>»</span> <span class='Paren'>(</span><span class='Function'>⌈</span><span class='Modifier'>`</span><span class='Value'>𝕩</span><span class='Paren'>)</span> <span class='Value'>𝕩</span> <span class='Function'>></span> <span class='Number'>¯1</span> <span class='Function'>»</span> <span class='Function'>⌈</span><span class='Modifier'>`</span><span class='Value'>𝕩</span> |