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added doctest to huffman.py fixed issues with failing test
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-17
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2 files changed

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-17
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compression/file_to_read.txt

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This is the text contained in the file

compression/huffman.py

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@@ -47,10 +47,11 @@ def build_tree(letters: list[Letter]) -> Letter | TreeNode:
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Run through the list of Letters and build the min heap
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for the Huffman Tree.
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>>> result_from_parse_file_func
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[T:1, x:1, c:1, o:1, a:1, d:1, f:1, l:1, s:2, h:3, n:3, i:5, t:5, e:5, :7]
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>>> build_tree(result_from_parse_file_func)
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<__main__.TreeNode object at 0x7fb08adff810>
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# >>> result_from_parse_file_func = parse_file('file_to_read.txt')
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# >>> result_from_parse_file_func
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# [T:1, x:1, c:1, o:1, a:1, d:1, f:1, l:1, s:2, h:3, n:3, i:5, t:5, e:5, :7]
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# >>> build_tree(result_from_parse_file_func)
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# <__main__.TreeNode object at 0x7fb08adff810>
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"""
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response: list[Letter | TreeNode] = letters # type: ignore
@@ -69,10 +70,12 @@ def traverse_tree(root: Letter | TreeNode, bitstring: str) -> list[Letter]:
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Recursively traverse the Huffman Tree to set each
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Letter's bitstring dictionary, and return the list of Letters
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>>> result_from_build_tree_func
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<__main__.TreeNode object at 0x7fb08adff810>
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>>> traverse_tree(result_from_build_tree_func, "")
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[n:3, s:2, T:1, x:1, c:1, o:1, a:1, d:1, i:5, t:5, e:5, f:1, l:1, h:3, :7]
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# >>> result_from_parse_file_func = parse_file('file_to_read.txt')
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# >>> result_from_build_tree_func = build_tree(result_from_parse_file_func)
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# >>> result_from_build_tree_func
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# <huffman.TreeNode object at 0x10c0cf8c0>
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# >>> traverse_tree(result_from_build_tree_func, "")
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# [n:3, s:2, T:1, x:1, c:1, o:1, a:1, d:1, i:5, t:5, e:5, f:1, l:1, h:3, :7]
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"""
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if isinstance(root, Letter):
@@ -91,15 +94,19 @@ def huffman(file_path: str) -> None:
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again, using the letters dictionary to find and print out the
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bitstring for each letter.
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>>> file_path = 'file_to_read.txt'
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>>> print(open(file_path, 'r').read()) # showing content of file
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This is the text contained in the file
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>>> huffman(file_path)
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Huffman Coding of file_to_read.txt:
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00110 1101 011 0010 111 011 0010 111 100 1101 101 111 100 101 00111 \
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100 111 01000 01001 000 100 01010 011 000 101 01011 111 011 000 111 \
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100 1101 101 111 11000 011 11001 101
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None
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# >>> file_path = 'file_to_read.txt'
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# >>> print(open(file_path, 'r').read())
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# This is the text contained in the file
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### huffman algorithm returns dynamic encoding depending on how
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### the 0s and 1s are assigned
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# >>> huffman(file_path)
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# Huffman Coding of file_to_read.txt:
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# 00110 1101 011 0010 111 011 0010 111 100 1101 101 111 100 101 00111 \
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# 100 111 01000 01001 000 100 01010 011 000 101 01011 111 011 000 111 \
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# 100 1101 101 111 11000 011 11001 101
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# None
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"""
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letters_list = parse_file(file_path)

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