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Solution #2101
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Solution #2101
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Great job on meeting the task requirements! 🎉 Your code is functional and well-tested, which is fantastic. While there is some redundancy with the dictionary comprehension across multiple functions, this is a minor issue. For future improvements, consider refactoring it into a helper function to enhance maintainability. Keep up the excellent work! 😊
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return ({ | ||
{"line_number": "line", "column_number": "column", "text": "message", "code": "name"}.get( | ||
key): value | ||
for key, value in error.items() | ||
if key in ["line_number", "column_number", "text", "code"]} | ||
| {"source": "flake8"}) |
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The dictionary comprehension used here to map error keys to their new names is repeated in multiple functions. Consider refactoring this into a separate helper function to avoid redundancy and improve maintainability.
{"line_number": "line", "column_number": "column", "text": "message", "code": "name"}.get(key): value | ||
for key, value in error.items() | ||
if key in ["line_number", "column_number", "text", "code"]} | {"source": "flake8"} |
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This dictionary comprehension is identical to the one in format_linter_error
. Refactoring into a helper function would reduce code duplication.
{"line_number": "line", "column_number": "column", "text": "message", "code": "name"}.get( | ||
key): value | ||
for key, value in error.items() | ||
if key in ["line_number", "column_number", "text", "code"] | ||
} | {"source": "flake8"} |
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This dictionary comprehension is repeated from the previous functions. Refactoring into a helper function would be beneficial.
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