Commit ac76de6
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⚡️ Speed up function
Here’s a faster version of your program, trading code compactness for runtime efficiency by using a custom list comprehension and avoiding multiple layers of iteration.
### Rationale for Optimizations
- The bottleneck is `" ".join(map(str, range(number)))`, which separately creates an iterator and converts each number to string on the fly.
- A list comprehension is faster here than `map(str, ...)` for small numbers (<1000) because Python can allocate and fill an array of known size more efficiently.
- Explicitly returns an empty string when `number <= 0` to avoid unnecessary work and handle edge cases.
- Avoided generator expressions/generators for `" ".join()` because list comprehensions are faster for small, fixed sizes.
This is as fast as pure Python gets for this operation at these data sizes—further speedups would require use of external libraries or C extensions (such as NumPy for even larger ranges, which wouldn't help here since all outputs are strings).
**Your code already does not compute any unused variables, so no further gains can be made there.**
#### Note
If you are calling this function in a tight loop and need to squeeze out even more performance, consider turning the integer-to-string conversion into a lookup (for example, precomputing all string forms of 0–999 once and reusing them), but for `number <= 1000` that's only a very minor improvement and typically not worth the extra code complexity.
If you want that micro-optimization.
This version eliminates all repeated integer-to-string conversions entirely for the target range.
**"Best" version for repeated use in a hot loop!**funcA by 473%1 parent b1b4164 commit ac76de6
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