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| <article id="content"> | |
| <header> | |
| <h1 class="title">Module <code>tinytroupe.utils.behavior</code></h1> | |
| </header> | |
| <section id="section-intro"> | |
| <p>Various utility functions for behavior analysis and action similarity computation.</p> | |
| <details class="source"> | |
| <summary> | |
| <span>Expand source code</span> | |
| </summary> | |
| <pre><code class="python">""" | |
| Various utility functions for behavior analysis and action similarity computation. | |
| """ | |
| import textdistance | |
| def next_action_jaccard_similarity(agent, proposed_next_action): | |
| """ | |
| Computes the Jaccard similarity between the agent's current action and a proposed next action, | |
| modulo target and type (i.e., similarity will be computed using only the content, provided that the action | |
| type and target are the same). If the action type or target is different, the similarity will be 0. | |
| Jaccard similarity is a measure of similarity between two sets, defined as the size of the intersection | |
| divided by the size of the union of the sets. | |
| Args: | |
| agent (TinyPerson): The agent whose current action is to be compared. | |
| proposed_next_action (dict): The proposed next action to be compared against the agent's current action. | |
| Returns: | |
| float: The Jaccard similarity score between the agent's current action and the proposed next action. | |
| """ | |
| # Get the agent's current action | |
| current_action = agent.last_remembered_action() | |
| if current_action is None: | |
| return 0.0 | |
| # Check if the action type and target are the same | |
| if ("type" in current_action) and ("type" in proposed_next_action) and ("target" in current_action) and ("target" in proposed_next_action) and \ | |
| (current_action["type"] != proposed_next_action["type"] or current_action["target"] != proposed_next_action["target"]): | |
| return 0.0 | |
| # Compute the Jaccard similarity between the content of the two actions | |
| current_action_content = current_action["content"] | |
| proposed_next_action_content = proposed_next_action["content"] | |
| # using textdistance to compute the Jaccard similarity | |
| jaccard_similarity = textdistance.jaccard(current_action_content, proposed_next_action_content) | |
| return jaccard_similarity</code></pre> | |
| </details> | |
| </section> | |
| <section> | |
| </section> | |
| <section> | |
| </section> | |
| <section> | |
| <h2 class="section-title" id="header-functions">Functions</h2> | |
| <dl> | |
| <dt id="tinytroupe.utils.behavior.next_action_jaccard_similarity"><code class="name flex"> | |
| <span>def <span class="ident">next_action_jaccard_similarity</span></span>(<span>agent, proposed_next_action)</span> | |
| </code></dt> | |
| <dd> | |
| <div class="desc"><p>Computes the Jaccard similarity between the agent's current action and a proposed next action, | |
| modulo target and type (i.e., similarity will be computed using only the content, provided that the action | |
| type and target are the same). If the action type or target is different, the similarity will be 0.</p> | |
| <p>Jaccard similarity is a measure of similarity between two sets, defined as the size of the intersection | |
| divided by the size of the union of the sets.</p> | |
| <h2 id="args">Args</h2> | |
| <dl> | |
| <dt><strong><code>agent</code></strong> : <code>TinyPerson</code></dt> | |
| <dd>The agent whose current action is to be compared.</dd> | |
| <dt><strong><code>proposed_next_action</code></strong> : <code>dict</code></dt> | |
| <dd>The proposed next action to be compared against the agent's current action.</dd> | |
| </dl> | |
| <h2 id="returns">Returns</h2> | |
| <dl> | |
| <dt><code>float</code></dt> | |
| <dd>The Jaccard similarity score between the agent's current action and the proposed next action.</dd> | |
| </dl></div> | |
| <details class="source"> | |
| <summary> | |
| <span>Expand source code</span> | |
| </summary> | |
| <pre><code class="python">def next_action_jaccard_similarity(agent, proposed_next_action): | |
| """ | |
| Computes the Jaccard similarity between the agent's current action and a proposed next action, | |
| modulo target and type (i.e., similarity will be computed using only the content, provided that the action | |
| type and target are the same). If the action type or target is different, the similarity will be 0. | |
| Jaccard similarity is a measure of similarity between two sets, defined as the size of the intersection | |
| divided by the size of the union of the sets. | |
| Args: | |
| agent (TinyPerson): The agent whose current action is to be compared. | |
| proposed_next_action (dict): The proposed next action to be compared against the agent's current action. | |
| Returns: | |
| float: The Jaccard similarity score between the agent's current action and the proposed next action. | |
| """ | |
| # Get the agent's current action | |
| current_action = agent.last_remembered_action() | |
| if current_action is None: | |
| return 0.0 | |
| # Check if the action type and target are the same | |
| if ("type" in current_action) and ("type" in proposed_next_action) and ("target" in current_action) and ("target" in proposed_next_action) and \ | |
| (current_action["type"] != proposed_next_action["type"] or current_action["target"] != proposed_next_action["target"]): | |
| return 0.0 | |
| # Compute the Jaccard similarity between the content of the two actions | |
| current_action_content = current_action["content"] | |
| proposed_next_action_content = proposed_next_action["content"] | |
| # using textdistance to compute the Jaccard similarity | |
| jaccard_similarity = textdistance.jaccard(current_action_content, proposed_next_action_content) | |
| return jaccard_similarity</code></pre> | |
| </details> | |
| </dd> | |
| </dl> | |
| </section> | |
| <section> | |
| </section> | |
| </article> | |
| <nav id="sidebar"> | |
| <h1>Index</h1> | |
| <div class="toc"> | |
| <ul></ul> | |
| </div> | |
| <ul id="index"> | |
| <li><h3>Super-module</h3> | |
| <ul> | |
| <li><code><a title="tinytroupe.utils" href="index.html">tinytroupe.utils</a></code></li> | |
| </ul> | |
| </li> | |
| <li><h3><a href="#header-functions">Functions</a></h3> | |
| <ul class=""> | |
| <li><code><a title="tinytroupe.utils.behavior.next_action_jaccard_similarity" href="#tinytroupe.utils.behavior.next_action_jaccard_similarity">next_action_jaccard_similarity</a></code></li> | |
| </ul> | |
| </li> | |
| </ul> | |
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