figure 3.7:

you have also,

search algorithms.py: Implement search algorithms Your task is to implement search algorithms in search_algorithms.py. To make your job easier, first implement the best-first-search template. Then implement the main search algorithms as functions that call the best-first-search template with appropriate evaluation functions. Be sure to add imports for problem.py and node.py. The following are the functions you need to implement: You can implement various functions to use as the f argument for certain search algorithms. An even simpler method is to use lambda functions, the following is for A : \[ \mathrm{f}=(\text { lambda } \mathrm{n}: \mathrm{n} \cdot \text { path_cost }+\mathrm{h}(\mathrm{n}) \text { ). } \] Best-first search template is graph-like searchalgorithms.py:Implementsearchhelperfunctions Add the following implementation of PriorityQueue that we will use later for search algorithms