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<ul class="collapse">
<li><a href="#masking-inputs" id="toc-masking-inputs" class="nav-link" data-scroll-target="#masking-inputs">Masking Inputs</a></li>
<li><a href="#you-may-not-want-prompt-templates" id="toc-you-may-not-want-prompt-templates" class="nav-link" data-scroll-target="#you-may-not-want-prompt-templates">You may not want prompt templates</a></li>
<li><a href="#the-input_output-format" id="toc-the-input_output-format" class="nav-link" data-scroll-target="#the-input_output-format">The <code>input_output</code> format</a></li>
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<li><a href="#prepare-data" id="toc-prepare-data" class="nav-link" data-scroll-target="#prepare-data">1. Prepare Data</a></li>
<li><a href="#use-type-input_output" id="toc-use-type-input_output" class="nav-link" data-scroll-target="#use-type-input_output">2. Use <code>type: input_output</code></a></li>
<li><a href="#check-the-prompts" id="toc-check-the-prompts" class="nav-link" data-scroll-target="#check-the-prompts">3. Check the prompts</a></li>
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<h1 class="title">Template-free prompt construction</h1>
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<div class="description">
Template-free prompt construction with the <code>input_output</code> format
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<ul>
<li><a href="#background">Background</a>
<ul>
<li><a href="#masking-inputs">Masking Inputs</a></li>
<li><a href="#you-may-not-want-prompt-templates">You may not want prompt templates</a></li>
<li><a href="#the-input_output-format">The <code>input_output</code> format</a></li>
</ul></li>
<li><a href="#usage">Usage</a>
<ul>
<li><a href="#1-prepare-data">1. Prepare Data</a></li>
<li><a href="#2-use-type-input_output">2. Use <code>type: input_output</code></a></li>
<li><a href="#3-check-the-prompts">3. Check the prompts</a></li>
</ul></li>
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<!-- /TOC -->
<p><a id="markdown-background" name="background"></a></p>
<section id="background" class="level2">
<h2 class="anchored" data-anchor-id="background">Background</h2>
<p><a id="markdown-masking-inputs" name="masking-inputs"></a></p>
<section id="masking-inputs" class="level3">
<h3 class="anchored" data-anchor-id="masking-inputs">Masking Inputs</h3>
<p>One of the most popular features of <a href="https://github.com/axolotl-ai-cloud/axolotl">axolotl</a> is setting the following configuration value:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode yaml code-with-copy"><code class="sourceCode yaml"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">train_on_inputs</span><span class="kw">:</span><span class="at"> </span><span class="ch">false</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>If you declare a <a href="https://github.com/axolotl-ai-cloud/axolotl?tab=readme-ov-file#dataset">dataset formats</a> such as <code>alpaca</code> or <code>chatml</code>, axolotl knows what is an input (i.e.&nbsp;human) vs.&nbsp;an output (i.e.&nbsp;the assistant) and masks the input labels so that your model can focus on predicting the outputs only.</p>
<p><a id="markdown-you-may-not-want-prompt-templates" name="you-may-not-want-prompt-templates"></a></p>
</section>
<section id="you-may-not-want-prompt-templates" class="level3">
<h3 class="anchored" data-anchor-id="you-may-not-want-prompt-templates">You may not want prompt templates</h3>
<p>However, there are many situations where you dont want to use one of these formats or templates. This is because they can:</p>
<ul>
<li>Add unnecessary boilerplate to your prompts.</li>
<li>Create artifacts like special delimiters <code>&lt;|im_start|&gt;</code> that can quickly become footguns if you dont include them correctly at inference time.</li>
<li>Enforce a <em>chat</em> interface when you do not want one. Sometimes you just want to fine-tune a model to a very specific task and do NOT want multi-turn conversations, roles, etc.</li>
<li>Limit you to only certain roles that the template allows.</li>
</ul>
<p><a id="markdown-the-inputoutput-format" name="the-inputoutput-format"></a></p>
</section>
<section id="the-input_output-format" class="level3">
<h3 class="anchored" data-anchor-id="the-input_output-format">The <code>input_output</code> format</h3>
<p>You can construct your prompts without a template by using the <code>input_output</code> format, by setting <code>type: input_output</code> in your configuration file like this:</p>
<p><strong>config.yml</strong></p>
<div class="sourceCode" id="cb2"><pre class="sourceCode yaml code-with-copy"><code class="sourceCode yaml"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">train_on_inputs</span><span class="kw">:</span><span class="at"> </span><span class="ch">false</span><span class="co"> # Mask segments of your data</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="fu">datasets</span><span class="kw">:</span></span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="kw">-</span><span class="at"> </span><span class="fu">path</span><span class="kw">:</span><span class="at"> output.jsonl</span></span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">type</span><span class="kw">:</span><span class="at"> input_output</span><span class="co"> # use template free prompt construction</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Unlike <code>type: completion</code>, which is also template-free, <code>type: input_output</code> allows you to mask segments of your text. More details on how this works are described below.</p>
<p><a id="markdown-usage" name="usage"></a></p>
</section>
</section>
<section id="usage" class="level2">
<h2 class="anchored" data-anchor-id="usage">Usage</h2>
<p>This is how you can use the <code>input_output</code> format:</p>
<p><a id="markdown-1-prepare-data" name="1-prepare-data"></a></p>
<section id="prepare-data" class="level3">
<h3 class="anchored" data-anchor-id="prepare-data">1. Prepare Data</h3>
<p>To use the <code>input_output</code> format, collect your data in the following format into a jsonl file (below is the first row from the file <code>output</code>.jsonl` pretty printed):</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="ex">$</span> head <span class="at">-n1</span> output.jsonl <span class="kw">|</span> <span class="ex">python</span> <span class="at">-m</span> json.tool</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>{
"segments": [
{
"label": true,
"text": "&lt;s&gt;Hello\n"
},
{
"label": true,
"text": "hi there!. "
},
{
"label": false,
"text": "goodbye "
},
{
"label": true,
"text": "farewell&lt;/s&gt;"
}
]
}</code></pre>
</div>
<p>Set <code>label:false</code> when you want to mask a segment of text so that the model isnt trained on it. Some things to keep in mind:</p>
<blockquote class="blockquote">
<p>[!IMPORTANT] 1. <strong>EOS, BOS, spaces, newlines etc. are entirely up to you. Axolotl concatenates all the segments as-is.</strong> The tokenizer doesnt add anything additional. Notice how I added spaces, newlines, <code>&lt;s&gt;</code> (BOS), and <code>&lt;/s&gt;</code> (EOS) myself. 2. Make sure you check the materialized output to validate that the prompt is getting assembled how you like.</p>
</blockquote>
<p><a id="markdown-2-use-type-inputoutput" name="2-use-type-inputoutput"></a></p>
</section>
<section id="use-type-input_output" class="level3">
<h3 class="anchored" data-anchor-id="use-type-input_output">2. Use <code>type: input_output</code></h3>
<p>Lets materialize data with our <code>output.jsonl</code> file by setting <code>type: input_output</code> in our axolotl config:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode yaml code-with-copy"><code class="sourceCode yaml"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="co"># training_config.yaml</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="fu">base_model</span><span class="kw">:</span><span class="at"> mistralai/Mistral-7B-v0.1</span></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="fu">data_seed</span><span class="kw">:</span><span class="at"> </span><span class="dv">49</span></span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="fu">seed</span><span class="kw">:</span><span class="at"> </span><span class="dv">49</span></span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a><span class="fu">datasets</span><span class="kw">:</span></span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="kw">-</span><span class="at"> </span><span class="fu">path</span><span class="kw">:</span><span class="at"> output.jsonl</span></span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">type</span><span class="kw">:</span><span class="at"> input_output</span></span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a><span class="fu">val_set_size</span><span class="kw">:</span><span class="at"> </span><span class="fl">0.1</span></span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a><span class="fu">sequence_len</span><span class="kw">:</span><span class="at"> </span><span class="dv">896</span></span>
<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a><span class="fu">sample_packing</span><span class="kw">:</span><span class="at"> </span><span class="ch">false</span></span>
<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a><span class="fu">micro_batch_size</span><span class="kw">:</span><span class="at"> </span><span class="dv">2</span></span>
<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a><span class="fu">gradient_accumulation_steps</span><span class="kw">:</span><span class="at"> </span><span class="dv">3</span></span>
<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a><span class="fu">eval_batch_size</span><span class="kw">:</span><span class="at"> </span><span class="dv">2</span></span>
<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a><span class="fu">num_epochs</span><span class="kw">:</span><span class="at"> </span><span class="dv">1</span></span>
<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a><span class="fu">learning_rate</span><span class="kw">:</span><span class="at"> </span><span class="fl">0.0002</span></span>
<span id="cb5-19"><a href="#cb5-19" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-20"><a href="#cb5-20" aria-hidden="true" tabindex="-1"></a><span class="fu">train_on_inputs</span><span class="kw">:</span><span class="at"> </span><span class="ch">false</span></span>
<span id="cb5-21"><a href="#cb5-21" aria-hidden="true" tabindex="-1"></a><span class="fu">special_tokens</span><span class="kw">:</span></span>
<span id="cb5-22"><a href="#cb5-22" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">bos_token</span><span class="kw">:</span><span class="at"> </span><span class="st">"&lt;s&gt;"</span></span>
<span id="cb5-23"><a href="#cb5-23" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">eos_token</span><span class="kw">:</span><span class="at"> </span><span class="st">"&lt;/s&gt;"</span></span>
<span id="cb5-24"><a href="#cb5-24" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">unk_token</span><span class="kw">:</span><span class="at"> </span><span class="st">"&lt;unk&gt;"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>You can use the following command to materialize your data. The <code>--debug</code> flag will print the tokens, along with the labels so you can verify that the correct items are being ignored:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="ex">$</span> python <span class="at">-m</span> axolotl.cli.preprocess training_config.yaml <span class="at">--debug</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a><span class="ex">...</span></span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a><span class="ex">[2024-03-05</span> 23:36:46,969] <span class="pp">[</span><span class="ss">INFO</span><span class="pp">]</span> <span class="pp">[</span><span class="ss">axolotl.check_example_labels:35</span><span class="pp">]</span> <span class="pp">[</span><span class="ss">PID:607731</span><span class="pp">]</span> <span class="pp">[</span><span class="ss">RANK:0</span><span class="pp">]</span> <span class="op">&lt;</span>s<span class="op">&gt;(</span><span class="ex">1,</span> 1<span class="op">)</span> Hello<span class="er">(</span><span class="ex">22557,</span> 22557<span class="kw">)</span></span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a><span class="kw">(</span><span class="ex">13,</span> 13<span class="kw">)</span> <span class="ex">hi</span><span class="er">(</span><span class="ex">12014,</span> 12014<span class="kw">)</span> <span class="ex">there</span><span class="er">(</span><span class="ex">736,</span> 736<span class="kw">)</span> <span class="ex">!</span><span class="er">(</span><span class="ex">28808,</span> 28808<span class="kw">)</span> <span class="bu">.</span><span class="er">(</span><span class="ex">28723,</span> 28723<span class="kw">)</span> <span class="kw">(</span><span class="ex">28705,</span> 28705<span class="kw">)</span> <span class="ex">good</span><span class="er">(</span><span class="ex">-100,</span> 1179<span class="kw">)</span> <span class="ex">bye</span><span class="er">(</span><span class="ex">-100,</span> 17664<span class="kw">)</span> <span class="kw">(</span><span class="ex">-100,</span> 28705<span class="kw">)</span> <span class="ex">fare</span><span class="er">(</span><span class="ex">19111,</span> 19111<span class="kw">)</span> <span class="ex">well</span><span class="er">(</span><span class="ex">5458,</span> 5458<span class="kw">)</span> <span class="op">&lt;</span>/s<span class="op">&gt;(</span><span class="ex">2,</span> 2<span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>The format is <code>decoded_token</code>(<code>label</code>, <code>token_id</code>), for example, <code>&lt;s&gt;(1, 1)</code> means that the token is <code>&lt;s&gt;</code>, the label is <code>1</code> and the token_id is <code>1</code>. When the label is <code>-100</code> then that token is ignored for training.</p>
<p><a id="markdown-3-check-the-prompts" name="3-check-the-prompts"></a></p>
</section>
<section id="check-the-prompts" class="level3">
<h3 class="anchored" data-anchor-id="check-the-prompts">3. Check the prompts</h3>
<p>Here is another way to check the materialized output:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> transformers <span class="im">import</span> AutoTokenizer</span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> datasets <span class="im">import</span> load_from_disk</span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> yaml</span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a>directory <span class="op">=</span> <span class="op">!</span>ls last_run_prepared<span class="op">/</span></span>
<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a><span class="cf">with</span> <span class="bu">open</span>(<span class="st">'training_config.yaml'</span>, <span class="st">'r'</span>) <span class="im">as</span> f:</span>
<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a> cfg <span class="op">=</span> yaml.safe_load(f)</span>
<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a>model_id <span class="op">=</span> cfg[<span class="st">'base_model'</span>]</span>
<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a>tok <span class="op">=</span> AutoTokenizer.from_pretrained(model_id)</span>
<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a>ds <span class="op">=</span> load_from_disk(<span class="ss">f'last_run_prepared/</span><span class="sc">{</span>directory[<span class="dv">0</span>]<span class="sc">}</span><span class="ss">/'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="sourceCode" id="cb8"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> row <span class="op">=</span> ds[<span class="dv">0</span>]</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> <span class="bu">print</span>(tok.decode(row[<span class="st">'input_ids'</span>]))</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a><span class="op">&lt;</span>s<span class="op">&gt;</span> Hello</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a> hi there<span class="op">!</span>. goodbye farewell<span class="op">&lt;/</span>s<span class="op">&gt;</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>We can check that the right tokens are ingored by comparing the labels to each token:</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>pd.DataFrame([{<span class="st">'token'</span>: tok.decode(i), <span class="st">'label'</span>: l, <span class="st">'id'</span>:i} <span class="cf">for</span> i,l <span class="kw">in</span></span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a> <span class="bu">zip</span>(row[<span class="st">'input_ids'</span>], row[<span class="st">'labels'</span>])])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<table class="caption-top table">
<thead>
<tr class="header">
<th>token</th>
<th>label</th>
<th>id</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>0</td>
<td>&lt;s&gt;</td>
<td>1</td>
</tr>
<tr class="even">
<td>1</td>
<td>Hello</td>
<td>22557</td>
</tr>
<tr class="odd">
<td>2</td>
<td>\n</td>
<td>13</td>
</tr>
<tr class="even">
<td>3</td>
<td>hi</td>
<td>12014</td>
</tr>
<tr class="odd">
<td>4</td>
<td>there</td>
<td>736</td>
</tr>
<tr class="even">
<td>5</td>
<td>!</td>
<td>28808</td>
</tr>
<tr class="odd">
<td>6</td>
<td>.</td>
<td>28723</td>
</tr>
<tr class="even">
<td>7</td>
<td></td>
<td>28705</td>
</tr>
<tr class="odd">
<td>8</td>
<td>good</td>
<td>-100</td>
</tr>
<tr class="even">
<td>9</td>
<td>bye</td>
<td>-100</td>
</tr>
<tr class="odd">
<td>10</td>
<td></td>
<td>-100</td>
</tr>
<tr class="even">
<td>11</td>
<td>fare</td>
<td>19111</td>
</tr>
<tr class="odd">
<td>12</td>
<td>well</td>
<td>5458</td>
</tr>
<tr class="even">
<td>13</td>
<td>&lt;/s&gt;</td>
<td>2</td>
</tr>
</tbody>
</table>
<p>If we look at the input data, the above table seems correct! (The jsonl version is repeated below for reference):</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="ex">$</span> head <span class="at">-n1</span> output.jsonl <span class="kw">|</span> <span class="ex">python</span> <span class="at">-m</span> json.tool</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>{
"segments": [
{
"label": true,
"text": "&lt;s&gt;Hello\n"
},
{
"label": true,
"text": "hi there!. "
},
{
"label": false,
"text": "goodbye "
},
{
"label": true,
"text": "farewell&lt;/s&gt;"
}
]
}</code></pre>
</div>
</section>
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gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>