ecs36c
ecs36c/hw4

Homework Spec
In this homework, you will write one data structure Directed Graph, and then build two
algorithms Breath First Search (BFS) and Depth First Search (DFS) on the graph.
You will implement Graph first and then implement BFS and DFS and their related
functions.
In reality, a adjacent list does not require order, so a better way to implement them
is to use unordered_map and unordered_set (or just dynamic array). In this
homework assignment, we keep the order for easier testing.
The reason to keep a Map<NodeValue, Node> is to utilize the textbook pseudocode
and definition that modifies the fields of the node. In reality we can just use some
array or unordered_set to keep track of which vertices are visited instead of
changing its color.
Grading
You will be graded only on the same (hidden) test cases your TAs created.
We provided some tests cases in ./tests. Feel free to modify and add more test cases,
but the ./tests in your submission will not be graded. However, you will be able to see the
results for your submitted test cases on Gradescope.
DirectedGraph implementation - 30%
BFS function - 35%
DFS function - 35%
NOTE: If you are running out of time to implement all methods (or just want to see
the project can be compiled), please at least provide a syntactically valid empty
method definition for each method in lib/*.cpp .
 2 - ecs36c/hw4: Graph, BFS, Shortest Path, DFS, and Topological Sort
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DirectedGraph
Check the definition for GraphNode in lib/GraphNode.hpp.
Check the definition for Graph in lib/Graph.hpp.
Create test cases in tests/TestGraph.cpp.
NOTE When updating the edges or vertices, both _adjList and _vertices should be
updated.
Breath First Search
Implement std::vector<T> BFS(T start); defined in lib/Graph.hpp.
For the queue used in BFS , please use C++ standard library by #include 
<queue> .
Implement int shortestPath(T start, T end) defined in lib/Graph.hpp.
You can assume BFS is never called before calling shortestPath .
Create test cases in tests/TestBFS.cpp.
For formal definitions, please refer to textbook 20.2.
We provide the example graph (Figure 20.3) in test/TestBFS.cpp for you to test your
code.
Depth First Search
Implement std::vector<T> DFS(); defined in lib/Graph.hpp.
Create test cases in tests/TestDFS.cpp.
For formal definitions, please refer to textbook 20.3.
We provide the example graph (Figure 20.4) in test/TestDFS.cpp for you to test your
code.
You can implement void DFS_visit(const T &u, int &time, std::list<T> 
&record); to help add the Node.value to a record vector.
Submission
Use ./generate_submission.sh and submit hw4-submission.zip on Gradescope.
Setup
Use one of the following options to set up your environment.
README.md2023/11/25 2 - ecs36c/hw4: Graph, BFS, Shortest Path, DFS, and Topological Sort
 4/5
 If you're a student, DO NOT FORK this repository because you cannot change
the visibility of a forked repo to private. If you plan to use Git for version control
(which is encouraged), run rm -rf .git && git init (or change remote) after
setting up using one of the options below and push to your private repository. Any
public repository containing part of this homework solution will be reported to SJA.
Option 1: VS Code with Local Dev Container
If Docker is not running, start Docker.
Click the following button to set up the environment. LLooccaall DDeevv CCoonnttaaiinneerr Setup
When asked for selecting a Kit to configure CMake, choose GCC.
Option 2: VS Code with Remote Dev
Connect VS Code to the remote host.
Install C/C++ Extension Pack on Remote Server (if not already).
Run the following command inside the integrated terminal.
git clone 
Run code ./ecs36c-hw4 to open the folder.
When prompted to configure CMake, confirm and choose GCC when prompted for
kit selection

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