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* Add deterministic profiler and canonical Python 3.15 tools
Use the merged operation critical sections with interpreter-bound profiler
entry checks and short payload borrows. Trace owned code references for GC.
Import the canonical tracing and offline profiling output closure via the
repository updater, retaining existing test markers.
Assisted-by: dot:GPT-6.1
* Clarify standalone profiling license cross-reference
Preserve license terms and copyright notices; point to the reproduced
Apache text below instead of CPython's original OpenSSL section above.
Assisted-by: dot:GPT-6.1
* Defer unsupported sampling package from profiler extraction
Keep the deterministic tracing profiler and its canonical tools together.
Defer the entirely new sampling production, tests, assets and their license
as one closure until native record and binary-collector support is ready.
Retain canonical pstats for deterministic empty-profile handling; its
upstream sampled-file sorting issue is not patched here.
Assisted-by: dot:GPT-6.1
* Stage profiling root as a namespace until sampling is available
Omit the whole newly added canonical package initializer rather than
advertise an absent sampling module or hand-edit canonical __all__.
Explicit profiling.tracing and cProfile imports remain available.
The namespace root intentionally lacks canonical metadata/automatic exports.
This addresses test___all__ failures in the prior Linux, macOS and Windows
CI runs. No test assertions, skips or canonical file contents are changed.
Assisted-by: dot:GPT-6.1
* Match canonical static builtin profiler labels and metadata
Normalize the raw builtin receiver instead of its call-argument accessor.
Snapshot static method module metadata at construction, matching CPython,
so explicit module mutation and deletion remain observable. Avoid a
profiler-time fallback that would obscure deleted metadata.
Correct float.__getformat__ to CPython's classmethod calling convention,
including subclass binding, rather than special-casing its profiler label.
Assisted-by: dot:GPT-6.1
* Support collision-safe frozen package containers
Generate empty frozen packages only for source namespace directories with
real frozen descendants. Preserve genuine modules and packages across
frozen-library registrations while retaining real-real replacement order.
Record the container marker in FrozenModule and its library envelope;
legacy module/package encodings remain unchanged. This is closed-tree
frozen packaging, not full PEP 420 namespace merging.
Add structural codec, mock generator, and registration-priority checks.
* Revert frozen package containers before restoring canonical profiling root
The container implementation changed filesystem namespace precedence.
Restore the existing importer and frozen envelope unchanged; the following
offline sampling closure restores the canonical regular package root.
This reverses d5a8049234.
Assisted-by: dot:GPT-6.1
* Restore canonical profiling package with offline sampling codec
Provide native records, status constants and genuine uncompressed binary
reader/writer APIs for canonical offline tools. Keep the unsupported live
process capability absent and preserve existing canonical test gates.
Restore the complete selected sampling production/test/assets closure via
update_lib, including its asyncio frame-schema dependency. The prior frozen
container extension is reverted separately; canonical packages work with
both filesystem and frozen imports without changing namespace semantics.
Assisted-by: dot:GPT-6.1
* Keep platform-dependent C long normalization explicit
Allow only the c_long-to-i32 conversion lint: Windows uses the same type,
while LP64 requires the existing truncation to match CPython normalization.
No runtime behavior or test assertions change.
Assisted-by: dot:GPT-6.1
* Include profiling notices in library and desktop packages
Bundle a byte-identical copy of the root profiling notice in rustpython-pylib
and include the root notice in configured desktop resources. Avoid a symlink
so Windows checkouts preserve the actual notice text. Terms are unchanged.
Assisted-by: dot:GPT-6.1
* Keep profiling asset license notice in pylib crate
* Serve frozen profiling assets through native resource readers
* Preserve canonical profiling asset line endings on checkout
---------
Co-authored-by: youknowdot <dot@youknowone.org>
113 lines
3.7 KiB
Python
Vendored
113 lines
3.7 KiB
Python
Vendored
"""Mock classes for sampling profiler tests."""
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from collections import namedtuple
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# Matches the C structseq LocationInfo from _remote_debugging
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LocationInfo = namedtuple('LocationInfo', ['lineno', 'end_lineno', 'col_offset', 'end_col_offset'])
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class MockFrameInfo:
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"""Mock FrameInfo for testing.
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Frame format: (filename, location, funcname, opcode) where:
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- location is a tuple (lineno, end_lineno, col_offset, end_col_offset)
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- opcode is an int or None
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"""
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def __init__(self, filename, lineno, funcname, opcode=None):
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self.filename = filename
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self.funcname = funcname
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self.opcode = opcode
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self.location = LocationInfo(lineno, lineno, -1, -1)
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def __iter__(self):
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return iter((self.filename, self.location, self.funcname, self.opcode))
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def __getitem__(self, index):
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return (self.filename, self.location, self.funcname, self.opcode)[index]
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def __len__(self):
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return 4
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def __repr__(self):
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return f"MockFrameInfo('{self.filename}', {self.location}, '{self.funcname}', {self.opcode})"
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class MockThreadInfo:
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"""Mock ThreadInfo for testing since the real one isn't accessible."""
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def __init__(
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self, thread_id, frame_info, status=0
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): # Default to THREAD_STATE_RUNNING (0)
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self.thread_id = thread_id
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self.frame_info = frame_info
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self.status = status
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def __repr__(self):
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return f"MockThreadInfo(thread_id={self.thread_id}, frame_info={self.frame_info}, status={self.status})"
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class MockInterpreterInfo:
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"""Mock InterpreterInfo for testing since the real one isn't accessible."""
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def __init__(self, interpreter_id, threads):
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self.interpreter_id = interpreter_id
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self.threads = threads
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def __repr__(self):
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return f"MockInterpreterInfo(interpreter_id={self.interpreter_id}, threads={self.threads})"
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class MockCoroInfo:
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"""Mock CoroInfo for testing async tasks."""
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def __init__(self, task_name, call_stack):
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self.task_name = task_name # In reality, this is the parent task ID
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self.call_stack = call_stack
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def __repr__(self):
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return f"MockCoroInfo(task_name={self.task_name}, call_stack={self.call_stack})"
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class MockTaskInfo:
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"""Mock TaskInfo for testing async tasks."""
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def __init__(self, task_id, task_name, coroutine_stack, awaited_by=None):
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self.task_id = task_id
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self.task_name = task_name
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self.coroutine_stack = coroutine_stack # List of CoroInfo objects
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self.awaited_by = awaited_by or [] # List of CoroInfo objects (parents)
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def __repr__(self):
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return f"MockTaskInfo(task_id={self.task_id}, task_name={self.task_name})"
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class MockAwaitedInfo:
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"""Mock AwaitedInfo for testing async tasks."""
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def __init__(self, thread_id, awaited_by):
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self.thread_id = thread_id
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self.awaited_by = awaited_by # List of TaskInfo objects
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def __repr__(self):
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return f"MockAwaitedInfo(thread_id={self.thread_id}, awaited_by={len(self.awaited_by)} tasks)"
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def make_diff_collector_with_mock_baseline(baseline_samples):
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"""Create a DiffFlamegraphCollector with baseline injected directly,
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skipping the binary round-trip that _load_baseline normally does."""
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from profiling.sampling.stack_collector import (
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DiffFlamegraphCollector,
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FlamegraphCollector,
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)
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baseline = FlamegraphCollector(1000)
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for sample in baseline_samples:
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baseline.collect(sample)
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# Path is unused since we inject _baseline_collector directly;
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# use __file__ as a dummy path that passes the existence check.
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diff = DiffFlamegraphCollector(1000, baseline_binary_path=__file__)
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diff._baseline_collector = baseline
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return diff
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