Convert `as_array` to a method

[lang-m]

To prepare cell and vertex fields we convert _as_array to a method so that derived classes can override it

[github-actions[bot]]

PR Analysis

• 🎯 Main theme: Refactoring the _as_array function to a method

• 📝 PR summary: The PR refactors the _as_array function into a method within the Field class. This allows derived classes to override it, providing more flexibility in handling different data types and structures.

• 📌 Type of PR: Refactoring

• 🧪 Relevant tests added: No

• ⏱️ Estimated effort to review [1-5]: 3, because the PR involves a significant refactoring of a core function into a method, which requires careful review to ensure that all use cases are still correctly handled.

• 🔒 Security concerns: No security concerns found

  PR Feedback

• 💡 General suggestions: The refactoring seems to be well done and the code is clean. However, it would be beneficial to add tests to ensure that the new method works as expected and doesn't break any existing functionality.

• 🤖 Code feedback:

  • relevant file: discretisedfield/field.py suggestion: Consider adding error handling for the case where nvdim is not 1 and val is not iterable. This could prevent potential issues in the future. [important] relevant line: '+ if isinstance(val, collections.abc.Iterable):'

  • relevant file: discretisedfield/field.py suggestion: It would be beneficial to add a check to ensure that val is not None before calling np.asarray(val).dtype. This would prevent potential TypeError exceptions. [medium] relevant line: '+ dtype = dtype or max(np.asarray(val).dtype, np.float64)'

  • relevant file: discretisedfield/field.py suggestion: Consider adding a check to ensure that val is not None before calling np.asarray(val).reshape(nvdim). This would prevent potential ValueError exceptions. [medium] relevant line: '+ array[index] = np.asarray(val(point)).reshape(nvdim)'

  • relevant file: discretisedfield/field.py suggestion: It would be beneficial to add a check to ensure that val is not None before calling np.asarray(subval(mesh.index2point(idx))).reshape(nvdim). This would prevent potential ValueError exceptions. [medium] relevant line: '+ array[idx] = np.asarray(subval(mesh.index2point(idx))).reshape(nvdim)'

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