add_state_keys

Computes paste-based state keys for V-columns and adds a <code>state_key</code>
column. If keys already exist, only computes for new rows.

internal

Implements algorithms for analyzing Cayley graphs of permutation groups,
with a focus on the TopSpin puzzle and similar permutation-based combinatorial
puzzles. Provides methods for cycle detection, state space exploration,
bidirectional BFS pathfinding, and finding optimal operation sequences
in permutation groups generated by shift and reverse operations.
Includes C++ implementations of core operations via 'Rcpp' for performance.
Optional GPU acceleration via 'ggmlR' Vulkan backend for batch distance
calculations and parallel state transformations.

Yuri Baramykov

cayleyR

Cayley Graph Analysis for Permutation Puzzles

add_state_keys function

<dl><dt>states_df</dt>
<dd>Data frame</dd>
<dt>new_states</dt>
<dd>Data frame of newly added states (used when state_key
column already exists to compute keys only for new rows)</dd>
<dt>v_cols</dt>
<dd>Character vector of V-column names</dd></dl>

Arguments

Add State Keys to Data Frame — add_state_keys

<dl>

<dt>states_df</dt>
<dd>Data frame</dd>


<dt>new_states</dt>
<dd>Data frame of newly added states (used when state_key
column already exists to compute keys only for new rows)</dd>


<dt>v_cols</dt>
<dd>Character vector of V-column names</dd>

</dl>

add_state_keys: Add State Keys to Data Frame

Description

Usage

Value

Arguments