Improved unit-test coverage of dicom packages by up to 93.3% using Keploy AI-agent

[nehagup]

What does this PR do?

Hey, I’ve added new unit tests to the Go files while testing the capabilities of my Keploy AI testing agent. The tests ensure reliable coverage by validating code builds, eliminating flaky tests, and improving overall test stability. Here’s what the AI checks for:

• Ensures new tests build without errors.
• Confirms no flaky tests are introduced.
• Enhances coverage for previously untested areas.

Motivation

I was testing the Keploy agent for Go repositories and decided to try it on dicom! After identifying coverage gaps, I focused on improving test coverage in key packages using AI-generated tests.

Describe how you validated your changes

The coverage was checked before and after the changes, confirming a significant increase:

Coverage Breakdown:

Package	Coverage Before	Coverage After
pkg/dicomio	0.0%	70.5%
pkg/charset	0.0%	94.4%
pkg/uid	0.0%	93.3%
pkg/dcmtime	87.4%	92.1%
pkg/tag	29.4%	44.1%
pkg/frame	42.6%	82.0%

Possible Drawbacks / Trade-offs

Relying on AI-generated tests for critical code might need additional validation by the team.

Additional Notes

Would love your feedback on this—does it look good to merge, or are there any changes you'd suggest?

[suyashkumar]

Thanks for this! Will take a look and go through which tests make sense. I think it's a good idea to leverage AI tools to improve test coverage.