removed_type_system

[kzqureshi]

PR Type

enhancement

---

Description

• Removed the dependency on ubermagutil.typesystem by commenting out its usage in the Line class.
• Replaced dim and n attributes with private attributes _dim and _n and added validation checks for positive integers.
• Introduced @property methods for dim and n to provide controlled access to these attributes.
• Enhanced error handling for dim and n to ensure robustness and correctness.

---

Changes walkthrough 📝

Relevant files

Enhancement

line.py Removed type system dependency and improved attribute handling discretisedfield/line.py Removed the dependency on ubermagutil.typesystem by commenting out its usage. Replaced dim and n attributes with private attributes _dim and _n and added validation checks. Introduced @property methods for dim and n to provide controlled access. Enhanced error handling for dim and n to ensure they are positive integers. +22/-10

---

💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 3 🔵🔵🔵⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Validation Logic The validation logic for dim and n in the __init__ method should be carefully reviewed to ensure it correctly handles all edge cases, such as empty or malformed input data. Getter Methods The newly introduced @property methods for dim and n should be reviewed to ensure they provide the necessary encapsulation and do not introduce unintended side effects.

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Score
Possible issue	Add error handling to ensure dim calculation does not fail for unexpected values[0] types Ensure that the calculation of dim correctly handles cases where values[0] is not iterable or has unexpected types to avoid potential runtime errors. discretisedfield/line.py [101] -dim = 1 if isinstance(values[0], numbers.Complex) else len(values[0]) +try: + dim = 1 if isinstance(values[0], numbers.Complex) else len(values[0]) +except TypeError: + raise ValueError(f"Invalid type for values[0]: {type(values[0])}. Expected a complex number or an iterable.") Suggestion importance[1-10]: 9 Why: The suggestion adds robust error handling for the calculation of dim, which is critical to prevent runtime errors when values[0] is not iterable or has an unexpected type. This significantly improves the reliability of the code.	9
	Add validation to ensure point_columns and value_columns are iterable before assignment Validate that point_columns and value_columns are iterable before assigning them to avoid runtime errors. discretisedfield/line.py [125-126] +if not hasattr(point_columns, '__iter__') or not hasattr(value_columns, '__iter__'): + raise ValueError("point_columns and value_columns must be iterable.") self._point_columns = list(point_columns) self._value_columns = list(value_columns) Suggestion importance[1-10]: 8 Why: The suggestion introduces validation to ensure point_columns and value_columns are iterable, which prevents potential runtime errors and enhances code robustness. This is a valuable improvement for input validation.	8

[codecov]

Codecov Report

Attention: Patch coverage is 85.71429% with 2 lines in your changes missing coverage. Please review.

Project coverage is 93.34%. Comparing base (9d50517) to head (46b56a6).

Files with missing lines	Patch %	Lines
discretisedfield/line.py	85.71%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #535      +/-   ##
==========================================
- Coverage   93.42%   93.34%   -0.08%     
==========================================
  Files          31       31              
  Lines        3299     3307       +8     
==========================================
+ Hits         3082     3087       +5     
- Misses        217      220       +3     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.