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Added doctests to min_cost_string_conversion.py and removed :c specifier (#11721)

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* Added doctests to min_cost_string_conversion.py and removed :c specifier

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* resolved line length issues based on ruff requirements

* modified in compliance with ruff for line length

* Update strings/min_cost_string_conversion.py

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Lonercode 2024-10-04 10:36:14 +01:00 committed by GitHub
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strings/min_cost_string_conversion.py
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@ -17,6 +17,23 @@ def compute_transform_tables(
delete_cost: int,
insert_cost: int,
) -> tuple[list[list[int]], list[list[str]]]:
"""
Finds the most cost efficient sequence
for converting one string into another.
>>> costs, operations = compute_transform_tables("cat", "cut", 1, 2, 3, 3)
>>> costs[0][:4]
[0, 3, 6, 9]
>>> costs[2][:4]
[6, 4, 3, 6]
>>> operations[0][:4]
['0', 'Ic', 'Iu', 'It']
>>> operations[3][:4]
['Dt', 'Dt', 'Rtu', 'Ct']
>>> compute_transform_tables("", "", 1, 2, 3, 3)
([[0]], [['0']])
"""
source_seq = list(source_string)
destination_seq = list(destination_string)
len_source_seq = len(source_seq)
@ -57,6 +74,24 @@ def compute_transform_tables(
def assemble_transformation(ops: list[list[str]], i: int, j: int) -> list[str]:
"""
Assembles the transformations based on the ops table.
>>> ops = [['0', 'Ic', 'Iu', 'It'],
... ['Dc', 'Cc', 'Iu', 'It'],
... ['Da', 'Da', 'Rau', 'Rat'],
... ['Dt', 'Dt', 'Rtu', 'Ct']]
>>> x = len(ops) - 1
>>> y = len(ops[0]) - 1
>>> assemble_transformation(ops, x, y)
['Cc', 'Rau', 'Ct']
>>> ops1 = [['0']]
>>> x1 = len(ops1) - 1
>>> y1 = len(ops1[0]) - 1
>>> assemble_transformation(ops1, x1, y1)
[]
"""
if i == 0 and j == 0:
return []
elif ops[i][j][0] in {"C", "R"}: