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@aseembits93 aseembits93 commented Jun 6, 2025

PR Type

Enhancement


Description

  • Refactor format_time with unit conversion loop

  • Simplify unused helper remover imports and types

  • Add type hints for helper function utilities

  • Consolidate returns in detect_unused_helper_functions


Changes walkthrough 📝

Relevant files
Enhancement
time_utils.py
Refactor time formatting function                                               

codeflash/code_utils/time_utils.py

  • Replaced nested ifs with a conversion loop
  • Defined conversions list with units
  • Streamlined significant-digit formatting logic
  • Added unreachable fallback return
  • +26/-31 
    unused_definition_remover.py
    Clean up imports and refactor removers                                     

    codeflash/context/unused_definition_remover.py

  • Moved imports into TYPE_CHECKING blocks
  • Added type hints for key functions
  • Removed redundant file read in revert function
  • Consolidated returns in detect_unused_helper_functions
  • +16/-11 

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    github-actions bot commented Jun 6, 2025

    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 3 🔵🔵🔵⚪⚪
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ Recommended focus areas for review

    Duplicate Import

    TYPE_CHECKING is imported twice; consolidate imports to remove redundancy.

    from typing import TYPE_CHECKING
    
    if TYPE_CHECKING:
        from pathlib import Path
    from typing import TYPE_CHECKING, Optional
    Unused Import

    Optional is imported but not used; remove the unused import for clarity.

    from typing import TYPE_CHECKING, Optional
    Conversion List Allocation

    The conversions list is recreated on every call to format_time; consider defining it as a module-level constant to reduce per-call allocations.

    # Define conversion factors and units
    conversions = [(1_000_000_000, "s"), (1_000_000, "ms"), (1_000, "μs"), (1, "ns")]

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    PR Code Suggestions ✨

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    codeflash-ai bot added a commit that referenced this pull request Jun 6, 2025
    …-fix`)
    
    Here's a significantly **faster** version of your function.  
    **Main bottlenecks:**  
    - The `conversions` list is being recreated every call (move outside the function).
    - Division (and string formatting) is repeated unnecessarily.
    - For most inputs, only one conversion is needed, so using `elif` instead of a loop is faster.
    - Inlining the logic (removing the for loop) along with minimal branching is much faster.
    - Use `str()` formatting (not f-strings) for speed with integers.
    
    Here's a rewritten, optimized version.
    
    
    
    **Optimization summary:**
    - Conversion table is not reconstructed per call.
    - No loop; fastest matching unit is chosen via flat if.
    - Common case (<1000) is handled with a very fast path.
    - No extra work, all math and comparisons are minimal and streamlined.
    
    **Same output guaranteed, significantly faster runtime for all inputs.**
    
    Let me know if you want it further micro-optimized or vectorized!
    Comment on lines 56 to 83
    # Define conversion factors and units
    conversions = [(1_000_000_000, "s"), (1_000_000, "ms"), (1_000, "μs"), (1, "ns")]

    # Handle nanoseconds case directly (no decimal formatting needed)
    if nanoseconds < 1_000:
    return f"{nanoseconds}ns"
    if nanoseconds < 1_000_000:
    microseconds_int = nanoseconds // 1_000
    if microseconds_int >= 100:
    return f"{microseconds_int}μs"
    microseconds = nanoseconds / 1_000
    # Format with precision: 3 significant digits
    if microseconds >= 100:
    return f"{microseconds:.0f}μs"
    if microseconds >= 10:
    return f"{microseconds:.1f}μs"
    return f"{microseconds:.2f}μs"
    if nanoseconds < 1_000_000_000:
    milliseconds_int = nanoseconds // 1_000_000
    if milliseconds_int >= 100:
    return f"{milliseconds_int}ms"
    milliseconds = nanoseconds / 1_000_000
    if milliseconds >= 100:
    return f"{milliseconds:.0f}ms"
    if milliseconds >= 10:
    return f"{milliseconds:.1f}ms"
    return f"{milliseconds:.2f}ms"
    seconds_int = nanoseconds // 1_000_000_000
    if seconds_int >= 100:
    return f"{seconds_int}s"
    seconds = nanoseconds / 1_000_000_000
    if seconds >= 100:
    return f"{seconds:.0f}s"
    if seconds >= 10:
    return f"{seconds:.1f}s"
    return f"{seconds:.2f}s"

    # Find appropriate unit
    for divisor, unit in conversions:
    if nanoseconds >= divisor:
    value = nanoseconds / divisor
    int_value = nanoseconds // divisor

    # Use integer formatting for values >= 100
    if int_value >= 100:
    formatted_value = str(int_value)
    # Format with precision for 3 significant digits
    elif value >= 100:
    formatted_value = f"{value:.0f}"
    elif value >= 10:
    formatted_value = f"{value:.1f}"
    else:
    formatted_value = f"{value:.2f}"

    return f"{formatted_value}{unit}"

    # This should never be reached, but included for completeness
    return f"{nanoseconds}ns"
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    ⚡️Codeflash found 36% (0.36x) speedup for format_time in codeflash/code_utils/time_utils.py

    ⏱️ Runtime : 2.86 milliseconds 2.11 milliseconds (best of 130 runs)

    📝 Explanation and details Here's a significantly **faster** version of your function. **Main bottlenecks:** - The `conversions` list is being recreated every call (move outside the function). - Division (and string formatting) is repeated unnecessarily. - For most inputs, only one conversion is needed, so using `elif` instead of a loop is faster. - Inlining the logic (removing the for loop) along with minimal branching is much faster. - Use `str()` formatting (not f-strings) for speed with integers.

    Here's a rewritten, optimized version.

    Optimization summary:

    • Conversion table is not reconstructed per call.
    • No loop; fastest matching unit is chosen via flat if.
    • Common case (<1000) is handled with a very fast path.
    • No extra work, all math and comparisons are minimal and streamlined.

    Same output guaranteed, significantly faster runtime for all inputs.

    Let me know if you want it further micro-optimized or vectorized!

    Correctness verification report:

    Test Status
    ⚙️ Existing Unit Tests 🔘 None Found
    🌀 Generated Regression Tests 6129 Passed
    ⏪ Replay Tests 🔘 None Found
    🔎 Concolic Coverage Tests 4 Passed
    📊 Tests Coverage 87.5%
    🌀 Generated Regression Tests Details
    import pytest  # used for our unit tests
    from codeflash.code_utils.time_utils import format_time
    
    # unit tests
    
    # -------------------------
    # Basic Test Cases
    # -------------------------
    
    @pytest.mark.parametrize("nanoseconds,expected", [
        (0, "0ns"),                # zero nanoseconds
        (1, "1ns"),                # single nanosecond
        (999, "999ns"),            # just below 1μs
        (1_000, "1.00μs"),         # exactly 1μs
        (1_234, "1.23μs"),         # typical microseconds (2 decimal)
        (12_345, "12.3μs"),        # typical microseconds (1 decimal)
        (123_456, "123μs"),        # microseconds, integer formatting
        (1_000_000, "1.00ms"),     # exactly 1ms
        (1_234_567, "1.23ms"),     # typical milliseconds (2 decimal)
        (12_345_678, "12.3ms"),    # typical milliseconds (1 decimal)
        (123_456_789, "123ms"),    # milliseconds, integer formatting
        (1_000_000_000, "1.00s"),  # exactly 1 second
        (1_234_567_890, "1.23s"),  # seconds (2 decimal)
        (12_345_678_900, "12.3s"), # seconds (1 decimal)
        (123_456_789_000, "123s"), # seconds, integer formatting
    ])
    def test_format_time_basic(nanoseconds, expected):
        """Test basic formatting for a variety of typical values."""
        codeflash_output = format_time(nanoseconds) # 831ns -> 681ns
    
    # -------------------------
    # Edge Test Cases
    # -------------------------
    
    def test_format_time_negative():
        """Test negative nanoseconds (should still format, though not specified)."""
        codeflash_output = format_time(-1) # 351ns -> 300ns
        codeflash_output = format_time(-999) # 351ns -> 300ns
        codeflash_output = format_time(-1_000) # 351ns -> 300ns
        codeflash_output = format_time(-1_234_567_890) # 351ns -> 300ns
    
    @pytest.mark.parametrize("nanoseconds,expected", [
        (999, "999ns"),            # maximum ns before μs
        (1_000, "1.00μs"),         # minimum μs
        (999_999, "999μs"),        # maximum μs before ms
        (1_000_000, "1.00ms"),     # minimum ms
        (999_999_999, "999ms"),    # maximum ms before s
        (1_000_000_000, "1.00s"),  # minimum s
    ])
    def test_format_time_unit_boundaries(nanoseconds, expected):
        """Test values exactly at the boundaries between units."""
        codeflash_output = format_time(nanoseconds) # 801ns -> 611ns
    
    @pytest.mark.parametrize("nanoseconds,expected", [
        (100, "100ns"),              # exactly 100ns, should be integer
        (10_000, "10.0μs"),          # exactly 10μs, should be 1 decimal
        (100_000, "100μs"),          # exactly 100μs, should be integer
        (10_000_000, "10.0ms"),      # exactly 10ms, should be 1 decimal
        (100_000_000, "100ms"),      # exactly 100ms, should be integer
        (10_000_000_000, "10.0s"),   # exactly 10s, should be 1 decimal
        (100_000_000_000, "100s"),   # exactly 100s, should be integer
    ])
    def test_format_time_significant_digit_cutoffs(nanoseconds, expected):
        """Test cutoffs for significant digit formatting."""
        codeflash_output = format_time(nanoseconds) # 842ns -> 642ns
    
    def test_format_time_large_and_small_values():
        """Test very large and very small values."""
        # Very large value (trillions of ns)
        codeflash_output = format_time(1_000_000_000_000) # 641ns -> 531ns
        # Very small negative value
        codeflash_output = format_time(-999) # 641ns -> 531ns
        # Value just below a boundary
        codeflash_output = format_time(999_999) # 641ns -> 531ns
        # Value just above a boundary
        codeflash_output = format_time(1_000_001) # 641ns -> 531ns
    
    def test_format_time_type_errors():
        """Test that non-integer input raises TypeError (if function is strict)."""
        # The current implementation does not raise, but we check for robustness.
        with pytest.raises(TypeError):
            format_time("1000")
        with pytest.raises(TypeError):
            format_time(None)
        with pytest.raises(TypeError):
            format_time(1.23)
    
    # -------------------------
    # Large Scale Test Cases
    # -------------------------
    
    def test_format_time_large_scale_uniform():
        """Test formatting for a large, uniform range of values."""
        # Test every 1_000_000_000 ns (1s) up to 999_000_000_000 ns (999s)
        for i in range(1, 1000):
            ns = i * 1_000_000_000
            expected = f"{i}s" if i >= 100 else f"{i:.2f}s" if i < 10 else f"{i:.1f}s"
            # The function only uses 2 decimals for <10, 1 decimal for <100, integer for >=100
            if i >= 100:
                expected = f"{i}s"
            elif i >= 10:
                expected = f"{i:.1f}s"
            else:
                expected = f"{i:.2f}s"
            codeflash_output = format_time(ns) # 440ns -> 310ns
    
    def test_format_time_large_scale_varied_units():
        """Test formatting for a large list of values spanning all units."""
        # Build a list of representative values for each unit
        test_values = []
        expected_results = []
        # ns: 0-999
        for i in range(0, 1000, 100):
            test_values.append(i)
            expected_results.append(f"{i}ns")
        # μs: 1_000-999_999
        for i in range(1_000, 1_000_000, 100_000):
            val = i / 1_000
            if val >= 100:
                expected = f"{int(val)}μs"
            elif val >= 10:
                expected = f"{val:.1f}μs"
            else:
                expected = f"{val:.2f}μs"
            test_values.append(i)
            expected_results.append(expected)
        # ms: 1_000_000-999_999_999
        for i in range(1_000_000, 1_000_000_000, 100_000_000):
            val = i / 1_000_000
            if val >= 100:
                expected = f"{int(val)}ms"
            elif val >= 10:
                expected = f"{val:.1f}ms"
            else:
                expected = f"{val:.2f}ms"
            test_values.append(i)
            expected_results.append(expected)
        # s: 1_000_000_000-999_999_999_999
        for i in range(1_000_000_000, 1_000_000_000_000, 100_000_000_000):
            val = i / 1_000_000_000
            if val >= 100:
                expected = f"{int(val)}s"
            elif val >= 10:
                expected = f"{val:.1f}s"
            else:
                expected = f"{val:.2f}s"
            test_values.append(i)
            expected_results.append(expected)
        # Now test all
        for ns, expected in zip(test_values, expected_results):
            codeflash_output = format_time(ns) # 280ns -> 230ns
    
    def test_format_time_performance_large_batch():
        """Performance: format a large batch of random values, ensure no error and correct format."""
        import random
        random.seed(42)
        values = [random.randint(0, 10**12) for _ in range(1000)]
        # Just check that the function returns a string and doesn't crash
        for ns in values:
            codeflash_output = format_time(ns); result = codeflash_output # 451ns -> 330ns
            # Should never have more than 2 decimals
            if '.' in result:
                decimals = result.split('.')[1]
                # Remove unit
                decimals = decimals.rstrip("nsμsms")
    # 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 codeflash.code_utils.time_utils import format_time
    
    # unit tests
    
    # 1. Basic Test Cases
    
    def test_ns_under_1000():
        # Test values less than 1000 ns
        codeflash_output = format_time(0) # 351ns -> 281ns
        codeflash_output = format_time(1) # 351ns -> 281ns
        codeflash_output = format_time(999) # 351ns -> 281ns
    
    def test_exact_1000_ns():
        # Test exactly 1000 ns (should be 1.00μs)
        codeflash_output = format_time(1000) # 2.79μs -> 2.38μs
    
    def test_microseconds_formatting():
        # Test values in microseconds range
        codeflash_output = format_time(1500) # 811ns -> 721ns
        codeflash_output = format_time(10_000) # 811ns -> 721ns
        codeflash_output = format_time(999_999) # 811ns -> 721ns
    
    def test_exact_1_millisecond():
        # Test exactly 1 ms (1_000_000 ns)
        codeflash_output = format_time(1_000_000) # 2.46μs -> 2.11μs
    
    def test_milliseconds_formatting():
        # Test values in milliseconds range
        codeflash_output = format_time(1_234_567) # 781ns -> 581ns
        codeflash_output = format_time(12_345_678) # 781ns -> 581ns
        codeflash_output = format_time(999_999_999) # 781ns -> 581ns
    
    def test_exact_1_second():
        # Test exactly 1 second (1_000_000_000 ns)
        codeflash_output = format_time(1_000_000_000) # 2.36μs -> 2.08μs
    
    def test_seconds_formatting():
        # Test values in seconds range
        codeflash_output = format_time(1_234_567_890) # 561ns -> 411ns
        codeflash_output = format_time(12_345_678_900) # 561ns -> 411ns
        codeflash_output = format_time(123_456_789_000) # 561ns -> 411ns
        codeflash_output = format_time(999_999_999_999) # 561ns -> 411ns
    
    def test_rounding_behavior():
        # Test rounding for 3 significant digits
        codeflash_output = format_time(1_234) # 430ns -> 310ns
        codeflash_output = format_time(1_235) # 430ns -> 310ns
        codeflash_output = format_time(12_345) # 430ns -> 310ns
        codeflash_output = format_time(123_456) # 430ns -> 310ns
        codeflash_output = format_time(123_456_789) # 430ns -> 310ns
        codeflash_output = format_time(123_499_999) # 430ns -> 310ns
        codeflash_output = format_time(123_500_000) # 430ns -> 310ns
    
    # 2. Edge Test Cases
    
    def test_just_below_and_above_unit_boundaries():
        # Just below 1 μs
        codeflash_output = format_time(999) # 561ns -> 400ns
        # Exactly 1 μs
        codeflash_output = format_time(1000) # 561ns -> 400ns
        # Just above 1 μs
        codeflash_output = format_time(1001) # 561ns -> 400ns
        # Just below 1 ms
        codeflash_output = format_time(999_999) # 561ns -> 400ns
        # Exactly 1 ms
        codeflash_output = format_time(1_000_000) # 561ns -> 400ns
        # Just above 1 ms
        codeflash_output = format_time(1_000_001) # 561ns -> 400ns
        # Just below 1 s
        codeflash_output = format_time(999_999_999) # 561ns -> 400ns
        # Exactly 1 s
        codeflash_output = format_time(1_000_000_000) # 561ns -> 400ns
        # Just above 1 s
        codeflash_output = format_time(1_000_000_001) # 561ns -> 400ns
    
    def test_large_integer_values():
        # Test large values, near the 32-bit and 64-bit integer boundaries
        codeflash_output = format_time(2_147_483_647) # 1.35μs -> 1.33μs
        codeflash_output = format_time(9_223_372_036_854_775_807) # 1.35μs -> 1.33μs
    
    def test_smallest_nonzero_ns():
        # Test smallest nonzero value
        codeflash_output = format_time(1) # 771ns -> 601ns
    
    def test_negative_value():
        # Negative values are not meaningful for time, but test for robustness
        # Should still format as ns, as per implementation
        codeflash_output = format_time(-1) # 350ns -> 290ns
        codeflash_output = format_time(-1000) # 350ns -> 290ns
        codeflash_output = format_time(-1_000_000) # 350ns -> 290ns
        codeflash_output = format_time(-1_000_000_000) # 350ns -> 290ns
    
    def test_zero_value():
        # Test zero nanoseconds
        codeflash_output = format_time(0) # 731ns -> 521ns
    
    def test_maximum_supported_value():
        # Test a very large value within reasonable range
        codeflash_output = format_time(999_999_999_999_999_999) # 2.05μs -> 1.71μs
    
    def test_formatting_precision_boundaries():
        # Test boundaries for formatting (e.g., when value crosses 10 or 100)
        codeflash_output = format_time(9_999) # 571ns -> 421ns
        codeflash_output = format_time(99_999) # 571ns -> 421ns
        codeflash_output = format_time(999_999) # 571ns -> 421ns
        codeflash_output = format_time(9_999_999) # 571ns -> 421ns
        codeflash_output = format_time(99_999_999) # 571ns -> 421ns
        codeflash_output = format_time(999_999_999) # 571ns -> 421ns
        codeflash_output = format_time(9_999_999_999) # 571ns -> 421ns
        codeflash_output = format_time(99_999_999_999) # 571ns -> 421ns
        codeflash_output = format_time(999_999_999_999) # 571ns -> 421ns
    
    # 3. Large Scale Test Cases
    
    def test_many_ns_values_bulk():
        # Test a large number of values in the nanoseconds range
        for ns in range(0, 1000):
            codeflash_output = format_time(ns) # 270ns -> 220ns
    
    def test_many_microsecond_values_bulk():
        # Test a range of values in the microseconds range
        for ns in range(1000, 998000, 997):  # Step chosen to keep <1000 iterations
            value = ns / 1_000
            if value >= 100:
                expected = f"{int(value)}μs"
            elif value >= 10:
                expected = f"{value:.1f}μs"
            else:
                expected = f"{value:.2f}μs"
            codeflash_output = format_time(ns) # 450ns -> 310ns
    
    def test_many_millisecond_values_bulk():
        # Test a range of values in the milliseconds range
        for ns in range(1000000, 998000000, 997000):  # Step chosen to keep <1000 iterations
            value = ns / 1_000_000
            if value >= 100:
                expected = f"{int(value)}ms"
            elif value >= 10:
                expected = f"{value:.1f}ms"
            else:
                expected = f"{value:.2f}ms"
            codeflash_output = format_time(ns) # 420ns -> 280ns
    
    def test_many_second_values_bulk():
        # Test a range of values in the seconds range
        for ns in range(1000000000, 998000000000, 997000000):  # Step chosen to keep <1000 iterations
            value = ns / 1_000_000_000
            if value >= 100:
                expected = f"{int(value)}s"
            elif value >= 10:
                expected = f"{value:.1f}s"
            else:
                expected = f"{value:.2f}s"
            codeflash_output = format_time(ns) # 441ns -> 330ns
    
    def test_performance_large_list():
        # Test performance and correctness on a list of 1000 increasing values
        ns_values = [i * 1_000_000 for i in range(1000)]  # 0ms to 999ms
        expected = []
        for i in range(1000):
            ns = i * 1_000_000
            if ns < 1_000:
                expected.append(f"{ns}ns")
            elif ns < 1_000_000:
                value = ns / 1_000
                if value >= 100:
                    expected.append(f"{int(value)}μs")
                elif value >= 10:
                    expected.append(f"{value:.1f}μs")
                else:
                    expected.append(f"{value:.2f}μs")
            elif ns < 1_000_000_000:
                value = ns / 1_000_000
                if value >= 100:
                    expected.append(f"{int(value)}ms")
                elif value >= 10:
                    expected.append(f"{value:.1f}ms")
                else:
                    expected.append(f"{value:.2f}ms")
            else:
                value = ns / 1_000_000_000
                if value >= 100:
                    expected.append(f"{int(value)}s")
                elif value >= 10:
                    expected.append(f"{value:.1f}s")
                else:
                    expected.append(f"{value:.2f}s")
        actual = [format_time(ns) for ns in ns_values]
    # codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
    
    from codeflash.code_utils.time_utils import format_time
    
    def test_format_time():
        format_time(10000000)
    
    def test_format_time_2():
        format_time(100000)
    
    def test_format_time_3():
        format_time(0)
    
    def test_format_time_4():
        format_time(1000000000)

    To test or edit this optimization locally git merge codeflash/optimize-pr301-2025-06-06T22.07.22

    Click to see suggested changes
    Suggested change
    # Define conversion factors and units
    conversions = [(1_000_000_000, "s"), (1_000_000, "ms"), (1_000, "μs"), (1, "ns")]
    # Handle nanoseconds case directly (no decimal formatting needed)
    if nanoseconds < 1_000:
    return f"{nanoseconds}ns"
    if nanoseconds < 1_000_000:
    microseconds_int = nanoseconds // 1_000
    if microseconds_int >= 100:
    return f"{microseconds_int}μs"
    microseconds = nanoseconds / 1_000
    # Format with precision: 3 significant digits
    if microseconds >= 100:
    return f"{microseconds:.0f}μs"
    if microseconds >= 10:
    return f"{microseconds:.1f}μs"
    return f"{microseconds:.2f}μs"
    if nanoseconds < 1_000_000_000:
    milliseconds_int = nanoseconds // 1_000_000
    if milliseconds_int >= 100:
    return f"{milliseconds_int}ms"
    milliseconds = nanoseconds / 1_000_000
    if milliseconds >= 100:
    return f"{milliseconds:.0f}ms"
    if milliseconds >= 10:
    return f"{milliseconds:.1f}ms"
    return f"{milliseconds:.2f}ms"
    seconds_int = nanoseconds // 1_000_000_000
    if seconds_int >= 100:
    return f"{seconds_int}s"
    seconds = nanoseconds / 1_000_000_000
    if seconds >= 100:
    return f"{seconds:.0f}s"
    if seconds >= 10:
    return f"{seconds:.1f}s"
    return f"{seconds:.2f}s"
    # Find appropriate unit
    for divisor, unit in conversions:
    if nanoseconds >= divisor:
    value = nanoseconds / divisor
    int_value = nanoseconds // divisor
    # Use integer formatting for values >= 100
    if int_value >= 100:
    formatted_value = str(int_value)
    # Format with precision for 3 significant digits
    elif value >= 100:
    formatted_value = f"{value:.0f}"
    elif value >= 10:
    formatted_value = f"{value:.1f}"
    else:
    formatted_value = f"{value:.2f}"
    return f"{formatted_value}{unit}"
    # This should never be reached, but included for completeness
    return f"{nanoseconds}ns"
    # Fast path for small values
    if nanoseconds < 1_000:
    return f"{nanoseconds}ns"
    # Inline conversion check for speed: no for loop
    if nanoseconds >= 1_000_000_000:
    divisor, unit = 1_000_000_000, "s"
    elif nanoseconds >= 1_000_000:
    divisor, unit = 1_000_000, "ms"
    elif nanoseconds >= 1_000:
    divisor, unit = 1_000, "μs"
    else:
    # Should not happen, fallback to ns
    return f"{nanoseconds}ns"
    value = nanoseconds / divisor
    int_value = nanoseconds // divisor
    # Use integer formatting for values >= 100
    if int_value >= 100:
    return str(int_value) + unit
    # Format with precision for 3 significant digits
    if value >= 100:
    return f"{value:.0f}{unit}"
    if value >= 10:
    return f"{value:.1f}{unit}"
    return f"{value:.2f}{unit}"
    _CONVERSION_UNITS = ((1_000_000_000, "s"), (1_000_000, "ms"), (1_000, "μs"))

    @aseembits93 aseembits93 requested a review from KRRT7 June 6, 2025 23:29
    @misrasaurabh1 misrasaurabh1 merged commit 4de9323 into main Jun 6, 2025
    16 checks passed
    @aseembits93 aseembits93 deleted the temp-precommit-fix branch June 6, 2025 23:55
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