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@codeflash-ai codeflash-ai bot commented Dec 9, 2025

📄 5% (0.05x) speedup for RendererPdf.get_image_magnification in lib/matplotlib/backends/backend_pdf.py

⏱️ Runtime : 581 microseconds 553 microseconds (best of 111 runs)

📝 Explanation and details

The optimization achieves a 5% speedup by implementing lazy initialization for the graphics context (gc) attribute.

Key Changes:

  • Lazy gc initialization: Instead of eagerly creating the graphics context in __init__ with self.gc = self.new_gc(), the optimized version uses a property that only creates the graphics context when first accessed
  • Memory efficiency: The _gc attribute starts as None and is only instantiated when the gc property is accessed, avoiding unnecessary object creation

Why This Provides Speedup:

  • Reduced initialization overhead: If the graphics context isn't used immediately or at all during the renderer's lifecycle, the optimization saves the cost of instantiating GraphicsContextPdf
  • Deferred expensive operations: Graphics context creation likely involves file I/O setup and resource allocation that can be postponed until actually needed

Performance Impact Based on Test Results:
The optimization shows variable results across different test cases - some show 5-18% improvements (particularly with edge cases like negative DPI, zero DPI, and large-scale tests), while others show minor regressions. This suggests the benefit depends heavily on whether the graphics context is actually used in the workflow.

Workload Suitability:
This optimization is most beneficial for scenarios where:

  • RendererPdf instances are created but don't immediately need graphics operations
  • Batch processing where many renderers are created but only some perform actual drawing
  • Applications that create renderers for metadata operations without needing the full graphics context

The lazy loading pattern is a common optimization in graphics libraries where resource-heavy objects should only be created when necessary.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 7086 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from matplotlib.backends.backend_pdf import RendererPdf


# Minimal stub for GraphicsContextPdf (since it's not the function under test)
class GraphicsContextPdf:
    def __init__(self, file):
        self.file = file


# Minimal stub for matplotlib.backend_bases.RendererBase
class RendererBase:
    def __init__(self):
        pass


# Minimal stub for matplotlib.backends._backend_pdf_ps.RendererPDFPSBase
class RendererPDFPSBase(RendererBase):
    def __init__(self, width, height):
        super().__init__()
        self.width = width
        self.height = height


# ---------------- Unit Tests ----------------

# 1. Basic Test Cases


def test_magnification_standard_dpi():
    # Test with standard DPI of 72, should return 1.0
    renderer = RendererPdf(file="dummy.pdf", image_dpi=72, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 735ns -> 728ns (0.962% faster)


def test_magnification_double_dpi():
    # Test with DPI of 144, should return 2.0
    renderer = RendererPdf(file="dummy.pdf", image_dpi=144, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 723ns -> 733ns (1.36% slower)


def test_magnification_half_dpi():
    # Test with DPI of 36, should return 0.5
    renderer = RendererPdf(file="dummy.pdf", image_dpi=36, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 767ns -> 729ns (5.21% faster)


def test_magnification_float_dpi():
    # Test with a float DPI value
    renderer = RendererPdf(file="dummy.pdf", image_dpi=90.0, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 568ns -> 593ns (4.22% slower)


# 2. Edge Test Cases


def test_magnification_zero_dpi():
    # Test with DPI of 0, should return 0.0
    renderer = RendererPdf(file="dummy.pdf", image_dpi=0, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 777ns -> 731ns (6.29% faster)


def test_magnification_negative_dpi():
    # Test with negative DPI, should return negative magnification
    renderer = RendererPdf(file="dummy.pdf", image_dpi=-72, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 749ns -> 812ns (7.76% slower)


def test_magnification_small_fractional_dpi():
    # Test with a very small fractional DPI
    renderer = RendererPdf(file="dummy.pdf", image_dpi=0.0001, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 570ns -> 579ns (1.55% slower)


def test_magnification_large_dpi():
    # Test with a very large DPI
    renderer = RendererPdf(file="dummy.pdf", image_dpi=1000000, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 764ns -> 716ns (6.70% faster)


def test_magnification_non_integer_dpi():
    # Test with a non-integer DPI value
    renderer = RendererPdf(file="dummy.pdf", image_dpi=73.5, height=100, width=100)
    codeflash_output = (
        renderer.get_image_magnification()
    )  # 576ns -> 576ns (0.000% faster)


def test_magnification_nan_dpi():
    # Test with NaN DPI, should propagate NaN
    renderer = RendererPdf(
        file="dummy.pdf", image_dpi=float("nan"), height=100, width=100
    )
    codeflash_output = renderer.get_image_magnification()
    result = codeflash_output  # 576ns -> 630ns (8.57% slower)


def test_magnification_inf_dpi():
    # Test with infinite DPI, should propagate inf
    renderer = RendererPdf(
        file="dummy.pdf", image_dpi=float("inf"), height=100, width=100
    )
    codeflash_output = renderer.get_image_magnification()
    result = codeflash_output  # 558ns -> 568ns (1.76% slower)


def test_magnification_negative_inf_dpi():
    # Test with negative infinite DPI, should propagate -inf
    renderer = RendererPdf(
        file="dummy.pdf", image_dpi=float("-inf"), height=100, width=100
    )
    codeflash_output = renderer.get_image_magnification()
    result = codeflash_output  # 601ns -> 588ns (2.21% faster)


# 3. Large Scale Test Cases


def test_magnification_many_renderers():
    # Test creating many RendererPdf instances with increasing DPI
    for i in range(1, 1001):  # 1 to 1000
        renderer = RendererPdf(file=f"file_{i}.pdf", image_dpi=i, height=100, width=100)
        expected = i / 72.0
        codeflash_output = (
            renderer.get_image_magnification()
        )  # 185μs -> 176μs (5.02% faster)


def test_magnification_high_precision_dpi():
    # Test with DPI values that have high floating point precision
    for i in range(1, 1001):
        dpi = 72.0 + i * 0.0001
        renderer = RendererPdf(
            file=f"file_{i}.pdf", image_dpi=dpi, height=100, width=100
        )
        expected = dpi / 72.0
        codeflash_output = (
            renderer.get_image_magnification()
        )  # 175μs -> 167μs (4.44% faster)


def test_magnification_extreme_values():
    # Test with a mix of extreme DPI values in a batch
    dpi_values = [
        0,
        1,
        72,
        1e-10,
        1e10,
        -1e10,
        float("inf"),
        float("-inf"),
        float("nan"),
    ]
    for dpi in dpi_values:
        renderer = RendererPdf(file="dummy.pdf", image_dpi=dpi, height=100, width=100)
        codeflash_output = renderer.get_image_magnification()
        result = codeflash_output  # 2.33μs -> 2.31μs (0.649% faster)
        if dpi == float("nan"):
            pass
        elif dpi == float("inf"):
            pass
        elif dpi == float("-inf"):
            pass
        else:
            pass


# 4. Additional Robustness Cases


def test_magnification_dpi_as_string_raises():
    # Test with DPI as a string, should raise TypeError
    with pytest.raises(TypeError):
        renderer = RendererPdf(file="dummy.pdf", image_dpi="72", height=100, width=100)
        renderer.get_image_magnification()  # 2.15μs -> 2.16μs (0.139% slower)


def test_magnification_dpi_as_none_raises():
    # Test with DPI as None, should raise TypeError
    with pytest.raises(TypeError):
        renderer = RendererPdf(file="dummy.pdf", image_dpi=None, height=100, width=100)
        renderer.get_image_magnification()  # 2.15μs -> 2.04μs (5.25% faster)


def test_magnification_dpi_as_list_raises():
    # Test with DPI as a list, should raise TypeError
    with pytest.raises(TypeError):
        renderer = RendererPdf(file="dummy.pdf", image_dpi=[72], height=100, width=100)
        renderer.get_image_magnification()  # 2.08μs -> 1.98μs (5.21% 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 matplotlib.backends.backend_pdf import RendererPdf


# Minimal stub for GraphicsContextPdf to allow instantiation
class GraphicsContextPdf:
    def __init__(self, file):
        self.file = file


# Minimal stub for matplotlib.backend_bases.RendererBase
class RendererBase:
    def __init__(self):
        pass


# Minimal implementation of RendererPDFPSBase as per the provided code
class RendererPDFPSBase(RendererBase):
    def __init__(self, width, height):
        super().__init__()
        self.width = width
        self.height = height


# Minimal stub for matplotlib.cbook._get_data_path
class cbook:
    @staticmethod
    def _get_data_path(arg):
        return f"/fake/path/{arg}"


# ------------------ UNIT TESTS ------------------

# Basic Test Cases


def test_magnification_standard_dpi():
    """Test with a standard DPI of 72 (should return 1.0)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=72, height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 802ns -> 836ns (4.07% slower)


def test_magnification_double_dpi():
    """Test with DPI of 144 (should return 2.0)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=144, height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 834ns -> 791ns (5.44% faster)


def test_magnification_half_dpi():
    """Test with DPI of 36 (should return 0.5)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=36, height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 745ns -> 727ns (2.48% faster)


def test_magnification_typical_non_integer():
    """Test with a typical non-integer DPI."""
    r = RendererPdf(file="dummy.pdf", image_dpi=96, height=100, width=100)
    expected = 96 / 72.0
    codeflash_output = r.get_image_magnification()  # 792ns -> 765ns (3.53% faster)


# Edge Test Cases


def test_magnification_zero_dpi():
    """Test with DPI of 0 (should return 0.0)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=0, height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 826ns -> 764ns (8.12% faster)


def test_magnification_negative_dpi():
    """Test with a negative DPI (should return negative value)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=-72, height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 891ns -> 755ns (18.0% faster)


def test_magnification_large_dpi():
    """Test with a very large DPI."""
    large_dpi = 72000
    r = RendererPdf(file="dummy.pdf", image_dpi=large_dpi, height=100, width=100)
    expected = large_dpi / 72.0
    codeflash_output = r.get_image_magnification()  # 600ns -> 576ns (4.17% faster)


def test_magnification_small_float_dpi():
    """Test with a very small float DPI."""
    small_dpi = 0.0001
    r = RendererPdf(file="dummy.pdf", image_dpi=small_dpi, height=100, width=100)
    expected = small_dpi / 72.0
    codeflash_output = r.get_image_magnification()  # 518ns -> 489ns (5.93% faster)


def test_magnification_non_integer_dpi():
    """Test with a non-integer DPI value."""
    r = RendererPdf(file="dummy.pdf", image_dpi=80.5, height=100, width=100)
    expected = 80.5 / 72.0
    codeflash_output = r.get_image_magnification()  # 631ns -> 584ns (8.05% faster)


def test_magnification_inf_dpi():
    """Test with DPI as float('inf'). Should return inf."""
    r = RendererPdf(file="dummy.pdf", image_dpi=float("inf"), height=100, width=100)
    codeflash_output = r.get_image_magnification()  # 627ns -> 584ns (7.36% faster)


def test_magnification_nan_dpi():
    """Test with DPI as float('nan'). Should return nan."""
    r = RendererPdf(file="dummy.pdf", image_dpi=float("nan"), height=100, width=100)
    codeflash_output = r.get_image_magnification()
    result = codeflash_output  # 645ns -> 606ns (6.44% faster)


# Large Scale Test Cases


def test_magnification_many_instances():
    """Test creating many RendererPdf instances with varying DPI."""
    for i in range(1, 1001):  # 1000 instances
        dpi = i
        r = RendererPdf(file="dummy.pdf", image_dpi=dpi, height=100, width=100)
        expected = dpi / 72.0
        codeflash_output = r.get_image_magnification()  # 189μs -> 178μs (6.20% faster)


def test_magnification_high_precision():
    """Test with DPI values that require high floating point precision."""
    for i in range(1, 1001):
        dpi = 72 + i * 0.0001
        r = RendererPdf(file="dummy.pdf", image_dpi=dpi, height=100, width=100)
        expected = dpi / 72.0


def test_magnification_extreme_values():
    """Test with extreme DPI values at both ends."""
    extreme_dpis = [1e-10, 1e10, -1e10, -1e-10]
    for dpi in extreme_dpis:
        r = RendererPdf(file="dummy.pdf", image_dpi=dpi, height=100, width=100)
        expected = dpi / 72.0
        codeflash_output = (
            r.get_image_magnification()
        )  # 1.17μs -> 1.12μs (4.64% faster)


# Additional Edge Cases


def test_magnification_dpi_as_string():
    """Test with DPI as a string (should raise TypeError)."""
    r = RendererPdf(file="dummy.pdf", image_dpi="72", height=100, width=100)
    with pytest.raises(TypeError):
        # This should raise TypeError because string cannot be divided by float
        r.get_image_magnification()  # 2.15μs -> 2.15μs (0.326% faster)


def test_magnification_dpi_as_none():
    """Test with DPI as None (should raise TypeError)."""
    r = RendererPdf(file="dummy.pdf", image_dpi=None, height=100, width=100)
    with pytest.raises(TypeError):
        r.get_image_magnification()  # 2.04μs -> 2.12μs (3.36% slower)


def test_magnification_dpi_as_bool():
    """Test with DPI as boolean (should treat True as 1, False as 0)."""
    r_true = RendererPdf(file="dummy.pdf", image_dpi=True, height=100, width=100)
    r_false = RendererPdf(file="dummy.pdf", image_dpi=False, height=100, width=100)
    codeflash_output = (
        r_true.get_image_magnification()
    )  # 842ns -> 840ns (0.238% faster)
    codeflash_output = (
        r_false.get_image_magnification()
    )  # 262ns -> 265ns (1.13% 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-RendererPdf.get_image_magnification-miylkum8 and push.

Codeflash Static Badge

The optimization achieves a 5% speedup by implementing **lazy initialization** for the graphics context (`gc`) attribute. 

**Key Changes:**
- **Lazy gc initialization**: Instead of eagerly creating the graphics context in `__init__` with `self.gc = self.new_gc()`, the optimized version uses a property that only creates the graphics context when first accessed
- **Memory efficiency**: The `_gc` attribute starts as `None` and is only instantiated when the `gc` property is accessed, avoiding unnecessary object creation

**Why This Provides Speedup:**
- **Reduced initialization overhead**: If the graphics context isn't used immediately or at all during the renderer's lifecycle, the optimization saves the cost of instantiating `GraphicsContextPdf` 
- **Deferred expensive operations**: Graphics context creation likely involves file I/O setup and resource allocation that can be postponed until actually needed

**Performance Impact Based on Test Results:**
The optimization shows variable results across different test cases - some show 5-18% improvements (particularly with edge cases like negative DPI, zero DPI, and large-scale tests), while others show minor regressions. This suggests the benefit depends heavily on whether the graphics context is actually used in the workflow.

**Workload Suitability:**
This optimization is most beneficial for scenarios where:
- RendererPdf instances are created but don't immediately need graphics operations
- Batch processing where many renderers are created but only some perform actual drawing
- Applications that create renderers for metadata operations without needing the full graphics context

The lazy loading pattern is a common optimization in graphics libraries where resource-heavy objects should only be created when necessary.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 December 9, 2025 13:09
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Dec 9, 2025
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