56-57: Add a test case for duplicate starts
These lines indicate the ticker's already-running error state but are not covered by tests according to the static analysis report. A test scenario that calls Start() twice on the same blockTicker will improve coverage and confirm the correct error handling.

54-91: Graceful handling of closed blockChan
The code logs a warning and returns if blockChan is closed. This is a good approach to end the loop gracefully. Additionally, ensure upstream logic is aware that the ticker stops if the channel closes unexpectedly.

94-105: Confirm concurrency correctness in Stop()
Stop() signals the loop and waits for the doneChan. This approach is correct for a blocking termination. Make sure to document that this can block until the ticker’s main loop exits.

107-117: Appropriate usage of atomic flags
Using CompareAndSwapInt32 to manage the runner state is a thread-safe approach. Confirm that no other concurrency paths modify status outside these methods to maintain data integrity.

Line range hint 106-136: Ensure robust error handling on initial run
Inside Start(), the initial run might fail, triggering an immediate Stop(). This is correct for error containment. Just ensure that any required resource cleanup happens before returning the error.

185-191: Proper blocking in StopBlocking()
Blocking on runCompleteChan ensures we wait for the last iteration to complete. This method usage pattern needs to be highlighted to avoid usage from within the same task context.

123-124: Test coverage for empty StopGroup
A scenario where StopGroup finds no definitions to stop (lines 123–124) is not covered according to the static analysis. Consider adding a test that exercises StopGroup on an empty group or a group without tasks to confirm no unwanted side effects.

186-187: Improve coverage on error branch
When invoke() returns an error, lines 186–187 handle logging. Adding a negative test scenario that forces the task to fail would validate correct error logging and coverage.

230-231: Test the blockTicker type within newDefinitionLogger
Lines 230–231 set "block_ticker" as the task type. Consider adding a test that registers a blockTicker-based Definition to confirm that the logger includes "task.type=block_ticker."

54-91: Graceful concurrency design
The concurrency approach with a sync.WaitGroup in StopGroup is sound, ensuring each definition stops safely in parallel. This design is likely to scale well as more tasks are added.

14-15: Name option provides clarity
Setting a distinct name fosters easier debugging and logging. This functional option pattern is solid for maintainability and reuse.

23-24: Verify test isolation for parallel execution.

The addition of t.Parallel() to all test cases could potentially cause issues if the tests share any global state or resources. Ensure that each test case is completely isolated and uses its own test fixtures.

Also applies to: 51-52, 78-79, 114-115, 147-149, 175-177, 206-208, 309-311

#!/bin/bash
# Check for potential shared resources across parallel tests
rg -A 5 "var \w+" pkg/ticker/ticker_test.go

#!/bin/bash
# Check for test function definitions and their scopes
ast-grep --pattern 'func Test$_($_) {
  $$$
}'

#!/bin/bash
# Check for any package level variables
rg "^var" pkg/ticker/ticker_test.go

#!/bin/bash
# Check for any test helper functions that might be shared
ast-grep --pattern 'func $_(t *testing.T) {
  $$$
}'

#!/bin/bash
# Check if counter variable is package-scoped or function-scoped
rg "counter :?=" pkg/ticker/ticker_test.go -B 2

1-402: LGTM! Well-structured test implementation.

The scheduler test implementation is comprehensive and well-organized with:

• Clear test case organization
• Good coverage of scheduler functionality
• Proper use of test fixtures and helpers

Line range hint 1-1000: LGTM! Well-documented changelog.

The changelog is comprehensive and well-structured with:

• Clear categorization of changes
• Breaking changes highlighted
• Detailed descriptions of updates