Skip to content

⚡️ Speed up function string_concat by 41% #32

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed

Conversation

codeflash-ai[bot]
Copy link

@codeflash-ai codeflash-ai bot commented Jun 23, 2025

📄 41% (0.41x) speedup for string_concat in src/dsa/various.py

⏱️ Runtime : 611 microseconds 433 microseconds (best of 617 runs)

📝 Explanation and details

Let's break down the line profiler results.

Profiling Bottleneck Analysis

Line Time (%) Analysis
s = "" 1.5% negligible
for i in range(n): 40.3% iteration not itself expensive; it's the work done in each iteration
s += str(i) 57.2% bottleneck: string concatenation in a loop is O(N²) in Python
return s 0.9% negligible

Main bottleneck: s += str(i) — repeatedly concatenating immutable strings, which causes the data to copy each time.


Suggested Optimization

  • Instead of string concatenation in the loop (O(N²)), use a list to collect substrings then ''.join(...) at the end (O(N)).

Optimized Code

You asked to keep the function signature and logic return intact, but rewrite internals for speed.

  • This approach is vastly faster for large n.
  • It also uses minimal extra memory and is more Pythonic.

Installed Libraries

Since there are no installed libraries, this solution remains standard-library-only and maximally compatible.


Summary Table

Suggestion Justification
Use list, then ''.join to concat strings Reduces time complexity from O(N²) to O(N)
No external libraries used Matches current environment, no dependencies needed

Final Notes

  • This change will dramatically improve runtime for large values of n.
  • The memory impact is negligible compared to the huge runtime savings.
  • For further speedup, consider using PyPy instead of CPython, but this solution is universal and effective as written.

No other optimizations are necessary based on the profiler data and environment.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 54 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from src.dsa.various import string_concat

# unit tests

# 1. Basic Test Cases

def test_concat_zero():
    # n = 0 should return an empty string
    codeflash_output = string_concat(0) # 417ns -> 541ns (22.9% slower)

def test_concat_one():
    # n = 1 should return "0"
    codeflash_output = string_concat(1) # 542ns -> 625ns (13.3% slower)

def test_concat_small_number():
    # n = 5 should return "01234"
    codeflash_output = string_concat(5) # 917ns -> 1.00μs (8.30% slower)

def test_concat_typical_number():
    # n = 10 should return "0123456789"
    codeflash_output = string_concat(10) # 1.33μs -> 1.38μs (2.98% slower)

def test_concat_double_digits():
    # n = 15 should return "01234567891011121314"
    codeflash_output = string_concat(15) # 1.75μs -> 1.75μs (0.000% faster)

# 2. Edge Test Cases

def test_concat_negative():
    # n < 0 should return empty string (since range(n) is empty)
    codeflash_output = string_concat(-1) # 250ns -> 292ns (14.4% slower)
    codeflash_output = string_concat(-100) # 250ns -> 292ns (14.4% slower)

def test_concat_large_single_digit():
    # n = 9 should return "012345678"
    codeflash_output = string_concat(9) # 1.29μs -> 1.38μs (6.04% slower)

def test_concat_large_transition_to_double_digits():
    # n = 10 should include the first two-digit number, "9"
    codeflash_output = string_concat(10) # 1.33μs -> 1.38μs (3.05% slower)

def test_concat_large_transition_to_triple_digits():
    # n = 100 should end with "99"
    codeflash_output = string_concat(100); result = codeflash_output # 8.50μs -> 7.83μs (8.52% faster)
    # The length should be sum of lengths of string representations of 0..99
    expected_length = sum(len(str(i)) for i in range(100))

def test_concat_non_integer_input():
    # Should raise TypeError if input is not an integer
    with pytest.raises(TypeError):
        string_concat("10")
    with pytest.raises(TypeError):
        string_concat(3.5)
    with pytest.raises(TypeError):
        string_concat(None)
    with pytest.raises(TypeError):
        string_concat([5])

def test_concat_boolean_input():
    # Booleans are subclasses of int: True == 1, False == 0
    # Should return "0" for True, "" for False
    codeflash_output = string_concat(True) # 208ns -> 250ns (16.8% slower)
    codeflash_output = string_concat(False) # 208ns -> 250ns (16.8% slower)

def test_concat_boundary_values():
    # n = 2 should return "01"
    codeflash_output = string_concat(2) # 708ns -> 833ns (15.0% slower)
    # n = 11 should return "012345678910"
    codeflash_output = string_concat(11) # 708ns -> 833ns (15.0% slower)

# 3. Large Scale Test Cases

def test_concat_large_scale_100():
    # n = 100, check length and a few substrings
    codeflash_output = string_concat(100); result = codeflash_output # 8.46μs -> 7.75μs (9.15% faster)
    # Check that the length matches expected
    expected_length = sum(len(str(i)) for i in range(100))

def test_concat_large_scale_999():
    # n = 999, check only length and start/end due to size
    codeflash_output = string_concat(999); result = codeflash_output # 116μs -> 75.7μs (53.4% faster)
    expected_length = sum(len(str(i)) for i in range(999))

def test_concat_performance_medium():
    # n = 500, should not take too long and length should be correct
    codeflash_output = string_concat(500); result = codeflash_output # 56.1μs -> 37.1μs (51.2% faster)
    expected_length = sum(len(str(i)) for i in range(500))

def test_concat_all_digits_present():
    # For n=100, all digits 0-9 should be present in the result
    codeflash_output = string_concat(100); result = codeflash_output # 8.46μs -> 7.62μs (10.9% faster)
    for digit in "0123456789":
        pass

# 4. Miscellaneous/Mutation-Resistant Tests

def test_concat_mutation_resistant():
    # Ensure that omitting any number or changing order will fail
    n = 20
    codeflash_output = string_concat(n); result = codeflash_output # 2.17μs -> 2.08μs (3.93% faster)
    # Check that each number appears in order at the correct position
    pos = 0
    for i in range(n):
        s = str(i)
        idx = result.find(s, pos)
        pos += len(s)
    # The result should be exactly the concatenation of str(i) for i in range(n)
    expected = ''.join(str(i) for i in range(n))

def test_concat_no_extra_characters():
    # The result should contain only digits, no spaces or separators
    codeflash_output = string_concat(50); result = codeflash_output # 4.50μs -> 4.04μs (11.4% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import pytest  # used for our unit tests
from src.dsa.various import string_concat

# unit tests

# 1. Basic Test Cases

def test_concat_zero():
    # n = 0 should return an empty string
    codeflash_output = string_concat(0) # 375ns -> 500ns (25.0% slower)

def test_concat_one():
    # n = 1 should return "0"
    codeflash_output = string_concat(1) # 542ns -> 625ns (13.3% slower)

def test_concat_small_number():
    # n = 5 should return "01234"
    codeflash_output = string_concat(5) # 958ns -> 1.04μs (8.06% slower)

def test_concat_two_digits():
    # n = 12 should return "01234567891011"
    codeflash_output = string_concat(12) # 1.54μs -> 1.54μs (0.000% faster)

def test_concat_typical_number():
    # n = 10 should return "0123456789"
    codeflash_output = string_concat(10) # 1.33μs -> 1.42μs (5.86% slower)

# 2. Edge Test Cases

def test_concat_negative():
    # Negative n should return an empty string (since range(n) is empty)
    codeflash_output = string_concat(-5) # 417ns -> 500ns (16.6% slower)

def test_concat_large_single_digit_boundary():
    # n = 10, checks transition from single to double digit
    codeflash_output = string_concat(10) # 1.33μs -> 1.33μs (0.000% faster)

def test_concat_double_digit_boundary():
    # n = 100, checks transition from double to triple digit
    codeflash_output = string_concat(100); result = codeflash_output # 8.46μs -> 7.67μs (10.3% faster)
    # Length should be sum of digits in 0..99
    expected_length = sum(len(str(i)) for i in range(100))

def test_concat_non_integer_input():
    # Should raise TypeError for non-integer input (e.g., float)
    with pytest.raises(TypeError):
        string_concat(5.5)
    with pytest.raises(TypeError):
        string_concat("10")
    with pytest.raises(TypeError):
        string_concat(None)

def test_concat_boolean_input():
    # Booleans are subclasses of int, so True -> 1, False -> 0
    codeflash_output = string_concat(True) # 250ns -> 291ns (14.1% slower)
    codeflash_output = string_concat(False) # 250ns -> 291ns (14.1% slower)

def test_concat_large_negative():
    # Large negative n should still return empty string
    codeflash_output = string_concat(-1000) # 458ns -> 542ns (15.5% slower)

def test_concat_mutation_resistance():
    # Ensure that mutation (e.g., off-by-one errors) would fail
    # n = 3 should never return "0123" or "123" or "01"
    codeflash_output = string_concat(3); result = codeflash_output # 792ns -> 917ns (13.6% slower)

# 3. Large Scale Test Cases

def test_concat_large_n_100():
    # n = 100, check correctness and performance within reasonable limits
    codeflash_output = string_concat(100); result = codeflash_output # 8.42μs -> 7.67μs (9.78% faster)

def test_concat_large_n_999():
    # n = 999, check start, end, and length
    codeflash_output = string_concat(999); result = codeflash_output # 117μs -> 80.9μs (45.3% faster)

def test_concat_performance_under_1000():
    # n = 1000, ensure function completes and result is correct
    codeflash_output = string_concat(1000); result = codeflash_output # 116μs -> 74.6μs (55.7% faster)

def test_concat_no_side_effects():
    # Ensure function does not modify any global state or rely on external variables
    n = 10
    before = n
    codeflash_output = string_concat(n); result = codeflash_output # 1.29μs -> 1.38μs (6.11% slower)

# 4. Miscellaneous Robustness

@pytest.mark.parametrize("invalid_input", [None, "string", 5.5, [], {}, object()])
def test_concat_various_invalid_types(invalid_input):
    # All non-integer, non-bool types should raise TypeError
    with pytest.raises(TypeError):
        string_concat(invalid_input)

@pytest.mark.parametrize("n", [0, 1, 10, 100, 999])
def test_concat_is_deterministic(n):
    # Multiple calls with same input should return same output
    codeflash_output = string_concat(n) # 459ns -> 542ns (15.3% slower)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-string_concat-mc8rzh1o and push.

Codeflash

Let's break down the line profiler results.

### Profiling Bottleneck Analysis

| Line                              | Time (%) | Analysis                                                              |
|:-----------------------------------|---------:|:-----------------------------------------------------------------------|
| s = ""                            |   1.5%   | negligible                                                            |
| for i in range(n):                |  40.3%   | iteration not itself expensive; it's the work done in each iteration   |
| s += str(i)                       |  57.2%   | **bottleneck:** string concatenation in a loop is O(N²) in Python      |
| return s                          |   0.9%   | negligible                                                            |

**Main bottleneck**: `s += str(i)` — repeatedly concatenating immutable strings, which causes the data to copy each time.

---

### Suggested Optimization

- Instead of string concatenation in the loop (O(N²)), use a list to collect substrings then `''.join(...)` at the end (O(N)).

---

### Optimized Code

You asked to keep the function signature and logic return intact, but rewrite internals for speed.



- This approach is vastly faster for large `n`.
- It also uses minimal extra memory and is more **Pythonic**.

---

### Installed Libraries

Since there are no installed libraries, this solution remains standard-library-only and maximally compatible.

---

## Summary Table

| Suggestion                                  | Justification                                        |
|---------------------------------------------|------------------------------------------------------|
| Use list, then `''.join` to concat strings  | Reduces time complexity from O(N²) to O(N)           |
| No external libraries used                  | Matches current environment, no dependencies needed   |

---

## Final Notes

- This change will dramatically improve runtime for large values of `n`.
- The memory impact is negligible compared to the huge runtime savings.
- For further speedup, consider using PyPy instead of CPython, but this solution is universal and effective as written.

**No other optimizations are necessary based on the profiler data and environment.**
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jun 23, 2025
@codeflash-ai codeflash-ai bot requested a review from KRRT7 June 23, 2025 07:29
@KRRT7 KRRT7 closed this Jun 23, 2025
@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-string_concat-mc8rzh1o branch June 23, 2025 23:31
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
⚡️ codeflash Optimization PR opened by Codeflash AI
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant