Document Details
Python Memory Profiler Reference
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This page contains Windows bias
About This Page
This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
Bias Analysis
Bias Types:
⚠️
windows_first
⚠️
powershell_heavy
Summary:
The documentation demonstrates a mild Windows bias, particularly in the local development instructions. Windows PowerShell is mentioned first, and Windows-specific commands (such as 'py -m venv .venv' and '.venv\Scripts\Activate.ps1') are listed before their Linux equivalents. The file path separator in the memory profiler output example also uses Windows-style backslashes. However, Linux alternatives are present, and there are no exclusive Windows-only tools or missing Linux examples.
Recommendations:
- Present Linux and Windows instructions in parallel (side-by-side tabs or clearly separated steps) rather than listing Windows first.
- Use neutral or platform-agnostic language, e.g., 'Open a terminal' instead of 'Open a Windows PowerShell or any Linux shell as you prefer.'
- When showing commands, either provide both Windows and Linux/Mac commands together, or use tabs for each OS.
- In code or output examples, use platform-neutral paths (e.g., <ProjectRoot>/HttpTriggerAsync/__init__.py) or show both Windows and Linux path formats.
- Ensure that all steps and tooling are equally accessible and clear for Linux users, not just as an afterthought.
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Scan History
| Date | Scan ID | Status | Bias Status |
|---|---|---|---|
| 2025-08-17 00:01 | #83 | in_progress | ✅ Clean |
| 2025-07-15 00:00 | #51 | completed | ❌ Biased |
| 2025-07-13 21:37 | #48 | completed | ❌ Biased |
| 2025-07-09 13:09 | #3 | cancelled | ✅ Clean |
| 2025-07-08 04:23 | #2 | cancelled | ❌ Biased |
Flagged Code Snippets
Filename: <ProjectRoot>\HttpTriggerAsync\__init__.py
Line # Mem usage Increment Occurrences Line Contents
============================================================
19 45.1 MiB 45.1 MiB 1 @memory_profiler.profile
20 async def get_microsoft_page_async(url: str):
21 45.1 MiB 0.0 MiB 1 async with aiohttp.ClientSession() as client:
22 46.6 MiB 1.5 MiB 10 async with client.get(url) as response:
23 47.6 MiB 1.0 MiB 4 await response.text()