fix: resolve 10 SonarQube code quality issues in test_dbscan.py#628
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Fixed issues: - AZ45Cwh-RXnEWm2Rf5HD for python:S1481 rule - AZ45Cwh-RXnEWm2Rf5HL for python:S117 rule - AZ45Cwh-RXnEWm2Rf5HE for python:S1481 rule - AZ45Cwh-RXnEWm2Rf5HJ for python:S117 rule - AZ45Cwh-RXnEWm2Rf5HG for python:S117 rule - AZ45Cwh-RXnEWm2Rf5HN for python:S1481 rule - AZ45Cwh-RXnEWm2Rf5HP for python:S117 rule - AZ45Cwh-RXnEWm2Rf5HH for python:S117 rule - AZ45Cwh-RXnEWm2Rf5HO for python:S1481 rule - AZ45Cwh-RXnEWm2Rf5HF for python:S117 rule Generated by SonarQube Agent (task: 6eea4337-78f3-4081-92a1-692033b8784a)
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Fixed naming convention violations and unused variable warnings in sklearn/cluster/tests/test_dbscan.py by renaming variables to follow snake_case conventions and replacing unused variables with underscores. These changes align the code with PEP 8 style guidelines and reduce code quality violations.
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Fixed Issues
python:S117 - Rename this local variable "X_copy" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:139Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the local variable 'X_copy' to 'x_copy' in test_dbscan_input_not_modified_precomputed_sparse_nodiag (line 139), making it conform to the snake_case naming convention.
python:S117 - Rename this local variable "X_" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:153Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the loop variable 'X_' to 'x_' in test_dbscan_no_core_samples (line 153), making it conform to the snake_case naming convention (^[a-z][a-z0-9]*$). All usages of the variable within the loop body are also updated.
python:S1481 - Replace the unused local variable "core_samples" with "_". • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:32Why is this an issue?
An unused local variable is a variable that has been declared but is not used anywhere in the block of code where it is defined. It is dead code, contributing to unnecessary complexity and leading to confusion when reading the code. Therefore, it should be removed from your code to maintain clarity and efficiency.
What changed
Replaces the unused local variable 'core_samples' with '' in the tuple unpacking of the dbscan() return value in test_dbscan_similarity. This fixes the unused local variable warning at line 32, since '' is an accepted convention for intentionally ignored values.
python:S1481 - Replace the unused local variable "core_samples" with "_". • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:56Why is this an issue?
An unused local variable is a variable that has been declared but is not used anywhere in the block of code where it is defined. It is dead code, contributing to unnecessary complexity and leading to confusion when reading the code. Therefore, it should be removed from your code to maintain clarity and efficiency.
What changed
Replaces the unused local variable 'core_samples' with '' in the tuple unpacking of the dbscan() return value in test_dbscan_feature. This fixes the unused local variable warning at line 56, since '' is the conventional name for intentionally discarded values.
python:S117 - Rename this local variable "D_sparse" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:82Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the local variable 'D_sparse' to 'd_sparse' in test_dbscan_sparse_precomputed, making it conform to the snake_case naming convention (^[a-z][a-z0-9]*$). This fixes the naming convention violation at line 82.
python:S117 - Rename this local variable "D_sparse" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:98Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the local variable 'D_sparse' to 'd_sparse' in test_dbscan_sparse_precomputed_different_eps (first occurrence at line 98), making it conform to the snake_case naming convention. Also updates its usage in the subsequent dbscan() call.
python:S1481 - Replace the unused local variable "core_samples" with "_". • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:170Why is this an issue?
An unused local variable is a variable that has been declared but is not used anywhere in the block of code where it is defined. It is dead code, contributing to unnecessary complexity and leading to confusion when reading the code. Therefore, it should be removed from your code to maintain clarity and efficiency.
What changed
Replaces the unused local variable 'core_samples' with '_' in the tuple unpacking of the dbscan() return value in test_dbscan_callable. This fixes the unused local variable warning at line 170.
python:S1481 - Replace the unused local variable "core_samples" with "_". • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:252Why is this an issue?
An unused local variable is a variable that has been declared but is not used anywhere in the block of code where it is defined. It is dead code, contributing to unnecessary complexity and leading to confusion when reading the code. Therefore, it should be removed from your code to maintain clarity and efficiency.
What changed
Replaces the unused local variable 'core_samples' with '_' in the tuple unpacking of the dbscan() return value in test_dbscan_balltree. This fixes the unused local variable warning at line 252.
python:S117 - Rename this local variable "X_copy" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:116Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the local variable 'X_copy' to 'x_copy' in test_dbscan_input_not_modified (line 116), making it conform to the snake_case naming convention (^[a-z][a-z0-9]*$).
python:S117 - Rename this local variable "X_repeated" to match the regular expression ^[_a-z][a-z0-9_]*$. • MINOR • View issue
Location:
sklearn/cluster/tests/test_dbscan.py:347Why is this an issue?
A naming convention in software development is a set of guidelines for naming code elements like variables, functions, and classes.
Local variables and function parameters hold the meaning of the written code. Their names should be meaningful and follow a consistent and easily recognizable pattern.
Adhering to a consistent naming convention helps to make the code more readable and understandable, which makes it easier to maintain and debug. It also ensures consistency in the code, especially when multiple developers are working on the same project.
What changed
Renames the local variable 'X_repeated' to 'x_repeated' in test_weighted_dbscan (line 347), making it conform to the snake_case naming convention (^[a-z][a-z0-9]*$). All usages of the variable are also updated.
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