added a check for n dimensional field in point_columns

[kzqureshi]

Type

bug_fix

---

Description

• Updated the setter method for point_columns in discretisedfield/line.py to dynamically check the length against _point_columns.
• This modification prevents errors when setting point_columns with a list length that matches the actual dimensions of the field, enhancing robustness.

---

Changes walkthrough

	Relevant files
Bug fix	line.py Update validation logic in point_columns setter                    discretisedfield/line.py Modified the condition in the setter method for point_columns to check against the length of _point_columns instead of a fixed value. This change ensures that the validation of point_columns is dynamic and adapts to the actual dimensions of the field. +1/-1

---

✨ PR-Agent usage:
Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

closes #389

[github-actions]

PR Description updated to latest commit (2016596)

[github-actions]

PR Review

⏱️ Estimated effort to review [1-5]	2, because the PR involves a simple logic change in a setter method, which is straightforward to understand and verify. The change is localized to one condition in one method, making the review process relatively quick.
🧪 Relevant tests	No
🔍 Possible issues	Possible Bug: If self._point_columns is not initialized or is dynamically changed elsewhere in the code, the new condition could lead to unexpected behavior or errors. It's important to ensure that self._point_columns is always properly set before this setter is called.
🔒 Security concerns	No

Code feedback:

---

relevant file	discretisedfield/line.py
suggestion	Consider adding a null or type check for self._point_columns before comparing its length to val. This will prevent potential TypeError or AttributeError if _point_columns is None or not an iterable. [important]
relevant line	if len(val) != len(self._point_columns):

---

---

✨ Review tool usage guide:

---

Overview:
The review tool scans the PR code changes, and generates a PR review which includes several types of feedbacks, such as possible PR issues, security threats and relevant test in the PR. More feedbacks can be added by configuring the tool.

The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR.

• When commenting, to edit configurations related to the review tool (pr_reviewer section), use the following template:

/review --pr_reviewer.some_config1=... --pr_reviewer.some_config2=...

• With a configuration file, use the following template:

[pr_reviewer]
some_config1=...
some_config2=...

See the review usage page for a comprehensive guide on using this tool.

[github-actions]

PR Code Suggestions

Category	Suggestions
Enhancement	Correct a typo in the error message. Correct the typo in the error message from "lenght" to "length". discretisedfield/line.py [174] -msg = f"Cannot change column names with a list of lenght {len(val)}." +msg = f"Cannot change column names with a list of length {len(val)}."

---

✨ Improve tool usage guide:

---

Overview:
The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.

• When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:

/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...

• With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

See the improve usage page for a comprehensive guide on using this tool.