Document Details
Python Memory Profiler Reference
❌
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 setup instructions. Windows PowerShell is mentioned first, and Windows-specific commands and paths (such as `.venv\Scripts\Activate.ps1` and `<ProjectRoot>\HttpTriggerAsync\__init__.py`) are shown before their Linux equivalents. While Linux alternatives are provided, they are consistently listed after the Windows instructions, and the use of Windows path separators in sample output further reinforces the bias.
Recommendations:
- Present Linux and Windows instructions side-by-side or in parallel tabs, rather than always listing Windows first.
- Use platform-agnostic language where possible (e.g., 'terminal' instead of 'PowerShell or Linux shell').
- Show both Windows and Linux/MacOS path separators in sample outputs, or clarify that the output may differ by OS.
- Where commands differ, clearly label them as 'Windows' and 'Linux/MacOS' rather than defaulting to Windows.
- Consider including screenshots or examples from both Windows and Linux environments to ensure parity.
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Scan History
| Date | Scan ID | Status | Bias Status |
|---|---|---|---|
| 2025-07-12 23:44 | #41 | in_progress | ❌ Biased |
| 2025-07-12 00:58 | #8 | cancelled | ✅ Clean |
| 2025-07-10 05:06 | #7 | processing | ✅ Clean |
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()