Rename serialize_funct() #774
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WalkthroughThe function Changes
Sequence Diagram(s)sequenceDiagram
participant Caller
participant SerializeModule
Caller->>SerializeModule: serialize_funct(fn, fn_args, fn_kwargs, resource_dict, cache_key)
SerializeModule-->>Caller: (task_key, data_dict)
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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Actionable comments posted: 0
♻️ Duplicate comments (3)
tests/test_cache_backend_execute.py (3)
61-65: Duplicate of the previous remark about{}vsNone.
89-93: Duplicate of the previous remark about{}vsNone.
117-121: Duplicate of the previous remark about{}vsNone.
🧹 Nitpick comments (4)
executorlib/standalone/serialize.py (2)
31-57: Doc-string still claims “serialize … into an HDF5 file” although nothing is written
serialize_functonly builds a(task_key, data_dict)tuple. Persisting to HDF5 happens elsewhere (executorlib.task_scheduler.file.hdf.dump).
Keeping the HDF5 wording is misleading for readers and static-analysis tools that rely on doc-strings.-Serialize a function and its arguments and keyword arguments into an HDF5 file. +Return a task-key and a data-dict that can later be written to an HDF5 file.
70-79: Task-key hash can silently collide across modules with identical function names
task_key = fn.__name__ + _get_hash(...)drops the module path, so two different functions with the same name and identical call signature (but in distinct modules) hash to the same key → cache poisoning.Consider prefixing with
fn.__module__(or the fully-qualified name viaf"{fn.__module__}.{fn.__qualname__}") to minimise the risk:- task_key = fn.__name__ + _get_hash(binary=binary_all) + fq_name = f"{fn.__module__}.{fn.__qualname__}" + task_key = fq_name + _get_hash(binary=binary_all)tests/test_cache_backend_execute.py (1)
33-37: Minor:fn_kwargs=Noneis converted to{}downstream – pass{}directlyPassing
Noneis perfectly handled, but using an explicit empty dict makes the intent clearer and avoids the subtle “None vs {}” branch.No action required, mentioning for future consistency.
executorlib/task_scheduler/file/shared.py (1)
130-136: Doc-string note (nitpick)You are already passing a
resource_dictthat may contain acache_keyentry; consider using the explicitcache_keyparameter instead of overloadingresource_dict.
No functional issue – optional clean-up only.
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📒 Files selected for processing (4)
executorlib/standalone/serialize.py(1 hunks)executorlib/task_scheduler/file/shared.py(2 hunks)executorlib/task_scheduler/interactive/shared.py(2 hunks)tests/test_cache_backend_execute.py(5 hunks)
🔇 Additional comments (4)
tests/test_cache_backend_execute.py (1)
11-11: Import rename looks goodThe tests now point to
serialize_funct, matching the production code. 👍executorlib/task_scheduler/interactive/shared.py (2)
14-14: Import rename consistentInteractive scheduler now imports the new symbol; no other changes needed.
135-141: Cache-key plumbing preservedThe arguments forwarded to
serialize_functexactly mirror the previous call – good catch on keepingresource_dict&cache_key.executorlib/task_scheduler/file/shared.py (1)
9-9: Import rename consistentFile-based scheduler correctly tracks the new name.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #774 +/- ##
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Coverage 97.53% 97.53%
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Files 33 33
Lines 1460 1460
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Hits 1424 1424
Misses 36 36 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Summary by CodeRabbit
Refactor
Tests