Commit 4f156b5
authored
⚡️ Speed up method
Here is an optimized version of your program with improved runtime and memory usage. Your original `path_to_code_string` function uses a dictionary comprehension, which is already efficient, but we can further optimize by minimizing attribute lookups and potential object string conversions. Also, since the base class already stores attributes, we can annotate expected attribute types for better speed in static analysis and C extensions (not runtime, but helps readability and future optimization).
Here's the improved version.
**Notes about the optimization:**
- The for-loop avoids repeated attribute lookups and is slightly faster and less memory-intensive than a dictionary comprehension in some cases (especially for larger datasets).
- Converted `self.code_strings` to a local variable for faster access inside the loop.
- No unnecessary temporary objects or function calls were introduced.
- This also makes it easier to add future optimizations, such as slotting or generator-based approaches for extreme scale, if needed.
**Performance justification:**
This makes the method marginally faster for large `code_strings` collections because it reduces temporary object allocations and attribute lookups, and dictionary insertion in a loop is roughly the same speed as a comprehension but is more explicit for optimization.
Let me know if you need even lower-level optimization or have information about the structure of `file_path` or `code` that could allow further improvements!CodeStringsMarkdown.path_to_code_string by 66% in PR #553 (feat/markdown-read-writable-context)1 parent 886616f commit 4f156b5
1 file changed
+9
-2
lines changed| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
| |||
3 | 3 | | |
4 | 4 | | |
5 | 5 | | |
| 6 | + | |
6 | 7 | | |
7 | 8 | | |
8 | 9 | | |
| |||
19 | 20 | | |
20 | 21 | | |
21 | 22 | | |
22 | | - | |
| 23 | + | |
23 | 24 | | |
24 | 25 | | |
25 | 26 | | |
| |||
170 | 171 | | |
171 | 172 | | |
172 | 173 | | |
173 | | - | |
| 174 | + | |
| 175 | + | |
| 176 | + | |
| 177 | + | |
| 178 | + | |
| 179 | + | |
| 180 | + | |
174 | 181 | | |
175 | 182 | | |
176 | 183 | | |
| |||
0 commit comments