From 433d0b806fa6c602178a9c8b298d960408a92276 Mon Sep 17 00:00:00 2001 From: Hari Date: Mon, 12 Feb 2024 16:33:29 +0100 Subject: [PATCH] added mermaid flow chart in readme --- README.md | 26 ++++++++++++++++---------- assets/path_visualization.png | Bin 85751 -> 85096 bytes 2 files changed, 16 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 6d6bce5..01ec38b 100644 --- a/README.md +++ b/README.md @@ -108,7 +108,7 @@ The path produced in the previous example can be visualized by adding the follow This will generate a visualization of the grid and the path and save it to the file `path_visualization.html` and also open it in your default browser.

- +

## Rerun the Algorithm @@ -135,18 +135,24 @@ General Process: 6. If none of the neighbors are walkable, the algorithm terminates. Otherwise, `check_neighbors` calls `process_node` on each neighbor. It calculates the cost `f` for each neighbor node. This involves computing `g` (the cost from the start node to the current node) and `h` (the estimated cost from the current node to the end node, calculated by `apply_heuristic`). 7. Finally `process_node` updates the open list so `find_path` with new or updated nodes. This allows `find_path` to continue the process with the next node in the subsequent iteration. -flow: +The following diagram illustrates the process: -```pseudo - find_path - init_find # (re)set global values and open list - while open_list not empty: - check_neighbors # for the node with min 'f' value in open list - pop_node # node with min 'f' value - find_neighbors # get neighbors - process_node # calculate new cost for each neighbor +

+ +```mermaid + graph TD; + find_path["find_path"] --> init_find["init_find (re)set global values and open list"]; + init_find --> while_open_list_not_empty["while open_list not empty"]; + while_open_list_not_empty --> check_neighbors["check_neighbors (for the node with min 'f' value in open list)"]; + check_neighbors --> pop_node["pop_node (node with min 'f' value)"]; + pop_node --> find_neighbors["find_neighbors (get neighbors)"]; + find_neighbors --> process_node["process_node (calculate new cost for each neighbor)"]; + process_node --> while_open_list_not_empty; + while_open_list_not_empty -- "open list empty" --> done["done"]; ``` +
+ ## Testing Run the tests locally using pytest. 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