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@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 15% (0.15x) speedup for to_hexstr in electrum/plugins/digitalbitbox/digitalbitbox.py

⏱️ Runtime : 48.1 microseconds 41.9 microseconds (best of 496 runs)

📝 Explanation and details

The optimization introduces a fast path for the most common input types: bytes and bytearray. Instead of always using binascii.hexlify().decode('ascii'), the code now first checks if the input is a bytes or bytearray object and uses Python's built-in .hex() method directly.

Key optimizations:

  1. Direct .hex() method: For bytes and bytearray inputs, the native .hex() method is significantly faster than the binascii.hexlify().decode('ascii') chain
  2. Type-based branching: The type(s) is bytes or type(s) is bytearray check adds minimal overhead while enabling the fast path

Why this is faster:

  • The .hex() method is implemented in C and avoids the intermediate bytes object creation and ASCII decoding step
  • From the line profiler, 59 out of 68 calls (87%) take the fast path using .hex() with 772.6ns per hit vs 1310ns per hit for the fallback
  • Only 9 calls use the slower fallback path for non-bytes/bytearray inputs

Performance characteristics:

  • Best case scenarios: Simple bytes inputs show 20-40% speedups, with some cases like b'\xde\xad\xbe\xef' showing 57% improvement
  • Large data: 1000-byte inputs show 17-40% speedups, making this optimization particularly valuable for cryptocurrency applications that process large binary data
  • Edge cases: Non-bytes inputs are 5-30% slower due to the type check overhead, but these are exceptional cases that should raise TypeError anyway

The 14% overall speedup comes primarily from the common case where input is already bytes/bytearray, which represents the vast majority of real-world usage in a hardware wallet plugin.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 66 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import binascii  # used for reference implementation and error checking
import random  # used for generating large random byte strings

# imports
import pytest  # used for our unit tests
from electrum.plugins.digitalbitbox.digitalbitbox import to_hexstr

# unit tests

# -----------------------
# 1. Basic Test Cases
# -----------------------

def test_empty_bytes():
    # Test conversion of empty bytes
    codeflash_output = to_hexstr(b'') # 657ns -> 605ns (8.60% faster)

def test_single_byte():
    # Test conversion of single byte
    codeflash_output = to_hexstr(b'\x00') # 703ns -> 530ns (32.6% faster)
    codeflash_output = to_hexstr(b'\xff') # 314ns -> 236ns (33.1% faster)
    codeflash_output = to_hexstr(b'\x7f') # 218ns -> 160ns (36.2% faster)

def test_multiple_bytes():
    # Test conversion of multiple bytes
    codeflash_output = to_hexstr(b'\x01\x02\x03') # 650ns -> 504ns (29.0% faster)
    codeflash_output = to_hexstr(b'\xde\xad\xbe\xef') # 377ns -> 240ns (57.1% faster)
    codeflash_output = to_hexstr(b'\x10\x20\x30\x40\x50') # 271ns -> 194ns (39.7% faster)

def test_ascii_bytes():
    # Test conversion of ASCII bytes
    codeflash_output = to_hexstr(b'abc') # 626ns -> 496ns (26.2% faster)
    codeflash_output = to_hexstr(b'123') # 275ns -> 225ns (22.2% faster)

def test_uppercase_vs_lowercase():
    # Ensure output is always lowercase
    codeflash_output = to_hexstr(b'\xAA\xBB\xCC') # 581ns -> 442ns (31.4% faster)

# -----------------------
# 2. Edge Test Cases
# -----------------------

def test_non_bytes_input():
    # Test that non-bytes input raises TypeError
    with pytest.raises(TypeError):
        to_hexstr('not bytes') # 1.20μs -> 1.61μs (25.5% slower)
    with pytest.raises(TypeError):
        to_hexstr(123) # 691ns -> 767ns (9.91% slower)
    with pytest.raises(TypeError):
        to_hexstr([1,2,3]) # 526ns -> 608ns (13.5% slower)
    with pytest.raises(TypeError):
        to_hexstr(None) # 498ns -> 528ns (5.68% slower)

def test_all_byte_values():
    # Test conversion of all possible byte values (0x00 to 0xFF)
    all_bytes = bytes(range(256))
    expected = ''.join('{:02x}'.format(i) for i in range(256))
    codeflash_output = to_hexstr(all_bytes) # 1.14μs -> 860ns (32.7% faster)

def test_high_bit_bytes():
    # Test conversion of bytes with high bit set
    codeflash_output = to_hexstr(b'\x80\x90\xA0\xB0\xC0\xD0\xE0\xF0') # 661ns -> 538ns (22.9% faster)

def test_leading_zero_bytes():
    # Test conversion of bytes with leading zeros
    codeflash_output = to_hexstr(b'\x00\x01\x02') # 672ns -> 514ns (30.7% faster)
    codeflash_output = to_hexstr(b'\x00\x00\xff') # 286ns -> 197ns (45.2% faster)

def test_trailing_zero_bytes():
    # Test conversion of bytes with trailing zeros
    codeflash_output = to_hexstr(b'\xff\x00\x00') # 637ns -> 477ns (33.5% faster)

def test_bytes_with_non_ascii():
    # Test conversion of bytes that are not valid ASCII
    codeflash_output = to_hexstr(b'\x80\xff\xfe') # 627ns -> 457ns (37.2% faster)

def test_bytes_with_null():
    # Test conversion of bytes containing null byte
    codeflash_output = to_hexstr(b'\x00abc\x00') # 674ns -> 502ns (34.3% faster)

# -----------------------
# 3. Large Scale Test Cases
# -----------------------

def test_large_random_bytes():
    # Test conversion of a large random byte string (1000 bytes)
    data = bytes(random.getrandbits(8) for _ in range(1000))
    expected = binascii.hexlify(data).decode('ascii')
    codeflash_output = to_hexstr(data) # 1.38μs -> 1.17μs (17.8% faster)

def test_large_repeating_bytes():
    # Test conversion of a large repeating byte string
    data = b'\xAB' * 1000
    expected = 'ab' * 1000
    codeflash_output = to_hexstr(data) # 1.64μs -> 1.23μs (32.8% faster)

def test_large_all_byte_values():
    # Test conversion of multiple repetitions of all byte values
    data = bytes(range(256)) * 3  # 768 bytes
    expected = ''.join('{:02x}'.format(i) for i in range(256)) * 3
    codeflash_output = to_hexstr(data) # 1.43μs -> 1.05μs (35.2% faster)

def test_large_empty_bytes():
    # Test conversion of large empty byte string (edge case for size 0)
    codeflash_output = to_hexstr(b'') # 593ns -> 502ns (18.1% faster)

def test_large_bytes_performance():
    # Test conversion of a large byte string (999 bytes, near limit)
    data = bytes([0x55, 0xAA] * 499) + b'\xFF'
    expected = binascii.hexlify(data).decode('ascii')
    codeflash_output = to_hexstr(data) # 1.28μs -> 1.19μs (7.37% faster)

# -----------------------
# 4. Mutation Sensitivity Tests
# -----------------------

def test_mutation_sensitivity():
    # Ensure that changing any byte changes the output at the expected position
    original = b'\x00\x01\x02\x03'
    mutated = b'\x00\x01\x02\x04'
    codeflash_output = to_hexstr(original) # 668ns -> 521ns (28.2% faster)
    # Ensure that swapping bytes changes output
    swapped = b'\x03\x02\x01\x00'
    codeflash_output = to_hexstr(original) # 280ns -> 198ns (41.4% faster)

def test_output_length():
    # Output string should be exactly twice the length of the input bytes
    for length in [0, 1, 10, 100, 999]:
        data = bytes([0x42] * length)
        codeflash_output = len(to_hexstr(data)) # 2.81μs -> 2.00μs (40.5% faster)

def test_output_is_ascii():
    # Output should only contain ASCII characters 0-9 and a-f
    data = bytes(range(256))
    codeflash_output = to_hexstr(data); hexstr = codeflash_output # 937ns -> 690ns (35.8% faster)
    allowed = set('0123456789abcdef')
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import binascii  # used in the function to test
import random  # used for generating large scale test data

# imports
import pytest  # used for our unit tests
from electrum.plugins.digitalbitbox.digitalbitbox import to_hexstr

# unit tests

# ---------------------------
# Basic Test Cases
# ---------------------------

def test_basic_empty_bytes():
    # Test with empty bytes input
    codeflash_output = to_hexstr(b'') # 579ns -> 500ns (15.8% faster)

def test_basic_ascii_bytes():
    # Test with simple ASCII bytes
    codeflash_output = to_hexstr(b'abc') # 608ns -> 514ns (18.3% faster)
    codeflash_output = to_hexstr(b'123') # 287ns -> 235ns (22.1% faster)
    codeflash_output = to_hexstr(b'hello world') # 290ns -> 188ns (54.3% faster)

def test_basic_non_ascii_bytes():
    # Test with bytes containing non-ASCII values
    codeflash_output = to_hexstr(b'\x00\xff\x10') # 591ns -> 478ns (23.6% faster)
    codeflash_output = to_hexstr(b'\x7f\x80\xfe') # 279ns -> 210ns (32.9% faster)

def test_basic_single_byte():
    # Test with a single byte
    codeflash_output = to_hexstr(b'\x01') # 577ns -> 487ns (18.5% faster)
    codeflash_output = to_hexstr(b'\xff') # 282ns -> 231ns (22.1% faster)

def test_basic_all_bytes():
    # Test with all possible byte values (0x00 to 0xff)
    all_bytes = bytes(range(256))
    expected = ''.join(f'{i:02x}' for i in range(256))
    codeflash_output = to_hexstr(all_bytes) # 944ns -> 713ns (32.4% faster)

# ---------------------------
# Edge Test Cases
# ---------------------------

def test_edge_input_type_bytes():
    # Ensure only bytes-like objects are accepted
    with pytest.raises(TypeError):
        to_hexstr('string') # 1.12μs -> 1.60μs (30.0% slower)

    with pytest.raises(TypeError):
        to_hexstr(123) # 639ns -> 761ns (16.0% slower)

    with pytest.raises(TypeError):
        to_hexstr(None) # 523ns -> 613ns (14.7% slower)

def test_edge_unicode_bytes():
    # Test with bytes representing valid UTF-8 but input is bytes
    utf8_bytes = '你好'.encode('utf-8')
    # Should return the hex representation of the bytes
    codeflash_output = to_hexstr(utf8_bytes) # 712ns -> 593ns (20.1% faster)

def test_edge_zero_bytes():
    # Test with bytes containing only zeros
    codeflash_output = to_hexstr(b'\x00\x00\x00') # 670ns -> 513ns (30.6% faster)

def test_edge_max_byte_value():
    # Test with bytes containing only 0xff
    codeflash_output = to_hexstr(b'\xff\xff\xff') # 619ns -> 479ns (29.2% faster)

def test_edge_alternating_bytes():
    # Test with alternating 0x00 and 0xff
    codeflash_output = to_hexstr(b'\x00\xff\x00\xff') # 640ns -> 499ns (28.3% faster)

def test_edge_bytes_with_special_characters():
    # Test with bytes that would be special in ASCII
    special_bytes = b'\n\r\t\x00'
    codeflash_output = to_hexstr(special_bytes) # 647ns -> 509ns (27.1% faster)

def test_edge_large_single_byte():
    # Test with a byte value at the edge of the valid range
    codeflash_output = to_hexstr(bytes([255])) # 672ns -> 512ns (31.2% faster)
    codeflash_output = to_hexstr(bytes([0])) # 270ns -> 225ns (20.0% faster)


def test_large_scale_1000_bytes():
    # Test with 1000 random bytes
    data = bytes(random.getrandbits(8) for _ in range(1000))
    # The output should match the hex representation of the input
    codeflash_output = to_hexstr(data) # 1.64μs -> 1.28μs (27.8% faster)

def test_large_scale_repeated_pattern():
    # Test with a repeated pattern to ensure output is correct
    pattern = b'\x01\x02\x03\x04'
    data = pattern * 250  # 4*250 = 1000 bytes
    expected = pattern.hex() * 250
    codeflash_output = to_hexstr(data) # 1.60μs -> 1.14μs (39.7% faster)

def test_large_scale_all_byte_values_repeated():
    # Test with all byte values repeated several times
    data = bytes(range(256)) * 3  # 768 bytes
    expected = ''.join(f'{i:02x}' for i in range(256)) * 3
    codeflash_output = to_hexstr(data) # 1.40μs -> 1.08μs (29.2% faster)


def test_large_scale_bytearray():
    # Test with a large bytearray object
    data = bytearray([random.randint(0, 255) for _ in range(999)])
    codeflash_output = to_hexstr(data) # 1.74μs -> 1.45μs (20.4% faster)

# ---------------------------
# Mutation Testing Guards
# ---------------------------

def test_mutation_guard_case_sensitivity():
    # Should always return lowercase hex
    codeflash_output = to_hexstr(b'\xab\xcd\xef') # 652ns -> 548ns (19.0% faster)
    # If function mutates to upper case, this will fail

def test_mutation_guard_output_type():
    # Should always return a string, not bytes
    codeflash_output = to_hexstr(b'abc'); result = codeflash_output # 637ns -> 512ns (24.4% faster)

def test_mutation_guard_no_extra_characters():
    # Should not include spaces, colons, or other separators
    codeflash_output = to_hexstr(b'\x01\x23\x45') # 645ns -> 507ns (27.2% faster)

def test_mutation_guard_correct_length():
    # Output string should be exactly twice the length of input bytes
    for n in [0, 1, 10, 100, 999]:
        data = bytes([random.randint(0, 255) for _ in range(n)])
        codeflash_output = len(to_hexstr(data)) # 2.90μs -> 2.04μs (42.0% faster)
# 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-to_hexstr-mhctddr0 and push.

Codeflash Static Badge

The optimization introduces a fast path for the most common input types: `bytes` and `bytearray`. Instead of always using `binascii.hexlify().decode('ascii')`, the code now first checks if the input is a `bytes` or `bytearray` object and uses Python's built-in `.hex()` method directly.

**Key optimizations:**
1. **Direct `.hex()` method**: For `bytes` and `bytearray` inputs, the native `.hex()` method is significantly faster than the `binascii.hexlify().decode('ascii')` chain
2. **Type-based branching**: The `type(s) is bytes or type(s) is bytearray` check adds minimal overhead while enabling the fast path

**Why this is faster:**
- The `.hex()` method is implemented in C and avoids the intermediate bytes object creation and ASCII decoding step
- From the line profiler, 59 out of 68 calls (87%) take the fast path using `.hex()` with 772.6ns per hit vs 1310ns per hit for the fallback
- Only 9 calls use the slower fallback path for non-bytes/bytearray inputs

**Performance characteristics:**
- **Best case scenarios**: Simple bytes inputs show 20-40% speedups, with some cases like `b'\xde\xad\xbe\xef'` showing 57% improvement
- **Large data**: 1000-byte inputs show 17-40% speedups, making this optimization particularly valuable for cryptocurrency applications that process large binary data
- **Edge cases**: Non-bytes inputs are 5-30% slower due to the type check overhead, but these are exceptional cases that should raise TypeError anyway

The 14% overall speedup comes primarily from the common case where input is already bytes/bytearray, which represents the vast majority of real-world usage in a hardware wallet plugin.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 02:37
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 30, 2025
codeflash-ai bot added a commit that referenced this pull request Nov 13, 2025
The optimization replaces a conditional check-then-access pattern with a try-except approach, achieving a **24% speedup** by eliminating redundant dictionary lookups.

**Key Changes:**
- **Original**: Uses `if key in self:` followed by `self[key]` - this performs **two** dictionary lookups for existing keys
- **Optimized**: Uses `try: self.__data[key]` with exception handling - this performs only **one** dictionary lookup

**Why It's Faster:**
1. **Eliminates redundant lookups**: The original code does `key in self` (lookup #1) then `self[key]` (lookup #2) for existing keys. The optimized version accesses `self.__data[key]` directly (single lookup).
2. **Avoids method call overhead**: Direct dictionary access (`self.__data[key]`) is faster than the `__getitem__` method call (`self[key]`).
3. **Leverages EAFP principle**: "Easier to Ask for Forgiveness than Permission" - Python's exception handling is optimized for the common case where exceptions don't occur.

**Performance Impact by Test Case:**
- **Existing keys** (most common): 31-67% faster due to eliminating the redundant lookup
- **Missing keys with defaults**: 1-13% slower due to exception overhead, but this is the less common path
- **Large-scale operations**: 22-28% faster, showing consistent benefits under load

The line profiler confirms this: the original `if key in self:` line took 22.8% of total time and `value = self[key]` took 27%, totaling ~50% for two lookups. The optimized version reduces this to just 16.2% for the single `self.__data[key]` access.

This optimization follows the common Python pattern of optimizing for the success case while handling failures through exceptions, making it particularly effective for cache implementations where successful lookups are the dominant operation.
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

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