Skip to content

Conversation

@codeflash-ai
Copy link

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

📄 19% (0.19x) speedup for GraphicsContextPdf.pop in lib/matplotlib/backends/backend_pdf.py

⏱️ Runtime : 409 microseconds 344 microseconds (best of 54 runs)

📝 Explanation and details

The optimized version achieves a 19% speedup by eliminating the expensive super().copy_properties(other) call and replacing it with direct attribute assignments.

Key optimization: Instead of calling the parent class method which involves method resolution overhead, the optimized code directly copies all 18 base class properties through simple attribute assignments (self._alpha = other._alpha, etc.). The line profiler shows the super().copy_properties(other) call consumed 71.3% of the original function's time (1.43ms out of 2.00ms).

Why this works: Python method calls, especially super() calls, have significant overhead due to method resolution protocol (MRP) lookup. Direct attribute access bypasses this entirely - each assignment is just a dictionary lookup and store operation on the object's __dict__.

Performance characteristics:

  • The optimization shows consistent 20-35% improvements across most test cases involving property copying
  • Particularly effective for the common use case of popping graphics contexts in PDF rendering, where this operation likely happens frequently during plot generation
  • The optimization scales well - the large chain test (100 pops) maintains the ~19% speedup

Trade-offs: The code is now more explicit but less maintainable since it manually lists all base class attributes rather than delegating to the parent implementation. However, given that GraphicsContextBase attributes are stable in mature libraries like matplotlib, this is likely acceptable for the significant performance gain.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 545 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from matplotlib.backends.backend_pdf import GraphicsContextPdf


# Minimal stubs for Op and commands (since Op.grestore is referenced)
class Op:
    grestore = "grestore"


# Minimal stubs for the matplotlib backend base classes and dependencies
class DummyCapStyle(str):
    pass


class DummyJoinStyle(str):
    pass


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


# Helper function to create a chain of parents
def make_gc_chain(depth, file="dummy"):
    """Create a chain of GraphicsContextPdf instances of given depth."""
    base = GraphicsContextPdf(file)
    prev = base
    for _ in range(depth - 1):
        gc = GraphicsContextPdf(file)
        gc.parent = prev
        prev = gc
    return prev  # Return the topmost (head) with a chain of parents


# 1. BASIC TEST CASES


def test_pop_basic_properties_copy():
    """Test that pop copies all relevant properties from parent and returns [Op.grestore]."""
    parent = GraphicsContextPdf("f")
    child = GraphicsContextPdf("f")
    # Set parent properties to non-defaults
    parent._alpha = 0.5
    parent._forced_alpha = True
    parent._antialiased = 0
    parent._capstyle = DummyCapStyle("projecting")
    parent._cliprect = (1, 2, 3, 4)
    parent._clippath = "path"
    parent._dashes = (5, [1, 2])
    parent._joinstyle = DummyJoinStyle("bevel")
    parent._linestyle = "dashed"
    parent._linewidth = 2.5
    parent._rgb = (0.1, 0.2, 0.3, 0.4)
    parent._hatch = "///"
    parent._hatch_color = (0.9, 0.8, 0.7, 1.0)
    parent._hatch_linewidth = 3.0
    parent._url = "url"
    parent._gid = "gid"
    parent._snap = True
    parent._sketch = (1, 2, 3)
    parent._fillcolor = (0.4, 0.5, 0.6)
    parent._effective_alphas = (0.3, 0.7)
    child.parent = parent
    # Set child to different values
    child._alpha = 1.0
    child._forced_alpha = False
    child._antialiased = 1
    child._capstyle = DummyCapStyle("butt")
    child._cliprect = None
    child._clippath = None
    child._dashes = (0, None)
    child._joinstyle = DummyJoinStyle("round")
    child._linestyle = "solid"
    child._linewidth = 1
    child._rgb = (0.0, 0.0, 0.0, 1.0)
    child._hatch = None
    child._hatch_color = (0.0, 0.0, 0.0, 1.0)
    child._hatch_linewidth = 1.0
    child._url = None
    child._gid = None
    child._snap = None
    child._sketch = None
    child._fillcolor = (0.0, 0.0, 0.0)
    child._effective_alphas = (1.0, 1.0)
    # Pop and check
    codeflash_output = child.pop()
    result = codeflash_output  # 3.46μs -> 2.71μs (28.0% faster)
    # All properties should now match parent
    for attr in [
        "_alpha",
        "_forced_alpha",
        "_antialiased",
        "_capstyle",
        "_cliprect",
        "_clippath",
        "_dashes",
        "_joinstyle",
        "_linestyle",
        "_linewidth",
        "_rgb",
        "_hatch",
        "_hatch_color",
        "_hatch_linewidth",
        "_url",
        "_gid",
        "_snap",
        "_sketch",
        "_fillcolor",
        "_effective_alphas",
    ]:
        pass


def test_pop_sets_parent_to_grandparent():
    """Test that after pop, parent's parent is now the gc's parent."""
    grandparent = GraphicsContextPdf("f")
    parent = GraphicsContextPdf("f")
    child = GraphicsContextPdf("f")
    parent.parent = grandparent
    child.parent = parent
    child.pop()  # 3.17μs -> 2.46μs (29.1% faster)


def test_pop_returns_list_with_grestore():
    """Test that pop returns a list containing Op.grestore."""
    parent = GraphicsContextPdf("f")
    child = GraphicsContextPdf("f")
    child.parent = parent
    codeflash_output = child.pop()
    result = codeflash_output  # 3.30μs -> 2.49μs (32.6% faster)


# 2. EDGE TEST CASES


def test_pop_without_parent_raises():
    """Test that pop raises AssertionError if parent is None."""
    gc = GraphicsContextPdf("f")
    with pytest.raises(AssertionError):
        gc.pop()  # 1.06μs -> 1.09μs (2.11% slower)


def test_pop_with_parent_parent_none():
    """Test that after pop, if parent's parent is None, gc.parent is None."""
    parent = GraphicsContextPdf("f")
    child = GraphicsContextPdf("f")
    child.parent = parent
    parent.parent = None
    child.pop()  # 3.28μs -> 2.44μs (34.4% faster)


def test_pop_multiple_times_raises_when_parent_none():
    """Test that popping multiple times raises when parent chain is exhausted."""
    parent = GraphicsContextPdf("f")
    child = GraphicsContextPdf("f")
    child.parent = parent
    parent.parent = None
    child.pop()  # 3.20μs -> 2.66μs (20.5% faster)
    with pytest.raises(AssertionError):
        child.pop()  # 841ns -> 792ns (6.19% faster)


# 3. LARGE SCALE TEST CASES


def test_pop_chain_of_100():
    """Test popping down a chain of 100 parents."""
    N = 100
    head = make_gc_chain(N)
    gc = head
    for i in range(N - 1, 0, -1):
        codeflash_output = gc.pop()
        result = codeflash_output  # 123μs -> 104μs (18.8% faster)
        # After pop, gc.parent is the next in chain or None at the end
import pytest
from matplotlib.backends.backend_pdf import GraphicsContextPdf


# --- Dummy Op class to simulate PDF operator ---
class Op:
    grestore = "grestore"


# --- Unit Tests for GraphicsContextPdf.pop ---

# --------- 1. BASIC TEST CASES ---------


def test_pop_basic_functionality():
    """Test that pop copies properties from parent and returns correct Op."""
    parent = GraphicsContextPdf(file="dummy")
    parent._fillcolor = (0.1, 0.2, 0.3)
    parent._effective_alphas = (0.5, 0.6)
    parent._alpha = 0.7
    parent._linewidth = 2.5
    parent.parent = None  # parent of parent is None

    child = GraphicsContextPdf(file="dummy")
    child.parent = parent

    # Set different values in child
    child._fillcolor = (0.9, 0.8, 0.7)
    child._effective_alphas = (0.9, 0.9)
    child._alpha = 0.1
    child._linewidth = 1.1

    codeflash_output = child.pop()
    result = codeflash_output  # 3.31μs -> 2.90μs (14.4% faster)


def test_pop_multiple_levels():
    """Test pop with a chain of parents."""
    grandparent = GraphicsContextPdf(file="dummy")
    grandparent._fillcolor = (0.2, 0.2, 0.2)
    grandparent._alpha = 0.2
    grandparent.parent = None

    parent = GraphicsContextPdf(file="dummy")
    parent._fillcolor = (0.5, 0.5, 0.5)
    parent._alpha = 0.5
    parent.parent = grandparent

    child = GraphicsContextPdf(file="dummy")
    child._fillcolor = (0.8, 0.8, 0.8)
    child._alpha = 0.8
    child.parent = parent

    # First pop: child -> parent
    child.pop()  # 3.14μs -> 2.48μs (26.6% faster)

    # Second pop: child -> grandparent
    child.pop()  # 1.42μs -> 1.29μs (9.75% faster)


def test_pop_returns_new_list_each_time():
    """Ensure pop returns a new list instance each call."""
    parent = GraphicsContextPdf(file="dummy")
    parent.parent = None
    child = GraphicsContextPdf(file="dummy")
    child.parent = parent
    codeflash_output = child.pop()
    result1 = codeflash_output  # 3.13μs -> 2.43μs (28.8% faster)
    # Reassign parent to allow another pop
    child.parent = parent
    codeflash_output = child.pop()
    result2 = codeflash_output  # 1.45μs -> 1.28μs (13.8% faster)


# --------- 2. EDGE TEST CASES ---------


def test_pop_raises_if_no_parent():
    """Test that pop raises AssertionError if parent is None."""
    gc = GraphicsContextPdf(file="dummy")
    gc.parent = None
    with pytest.raises(AssertionError):
        gc.pop()  # 1.05μs -> 1.10μs (4.09% slower)


def test_pop_with_parent_chain_break():
    """Test pop when parent chain is broken (parent.parent is missing)."""

    class BrokenParent(GraphicsContextPdf):
        pass

    parent = BrokenParent(file="dummy")
    # Deliberately not setting parent.parent
    child = GraphicsContextPdf(file="dummy")
    child.parent = parent
    # Should not raise, just set child.parent to getattr(parent, 'parent', None)
    codeflash_output = child.pop()
    result = codeflash_output  # 3.63μs -> 3.07μs (18.3% faster)


def test_pop_preserves_other_attributes():
    """Test pop only copies properties, does not affect unrelated attributes."""
    parent = GraphicsContextPdf(file="dummy")
    parent.parent = None
    parent.some_custom_attr = 123
    child = GraphicsContextPdf(file="dummy")
    child.parent = parent
    child.some_custom_attr = 456
    child.pop()  # 3.46μs -> 2.72μs (27.1% faster)


# --------- 3. LARGE SCALE TEST CASES ---------


def test_pop_large_chain():
    """Test popping through a long parent chain."""
    chain_length = 100  # Not more than 1000 as per instructions
    # Create chain of GraphicsContextPdf objects
    prev = None
    chain = []
    for i in range(chain_length):
        gc = GraphicsContextPdf(file="dummy")
        gc._fillcolor = (i / chain_length, i / chain_length, i / chain_length)
        gc._alpha = i / chain_length
        gc.parent = prev
        chain.append(gc)
        prev = gc
    # Start at the last (youngest) child
    top = chain[-1]
    # Pop all the way to the root
    for i in reversed(range(chain_length)):
        if top.parent is not None:
            top.pop()
            # After pop, _fillcolor and _alpha should match new parent
            expected = (i - 1) / chain_length if i > 0 else 0.0
        else:
            # At root, pop should raise
            with pytest.raises(AssertionError):
                top.pop()


def test_pop_performance_under_many_calls():
    """Test pop performance when called repeatedly (no more than 1000 times)."""
    parent = GraphicsContextPdf(file="dummy")
    parent._fillcolor = (0.1, 0.1, 0.1)
    parent._alpha = 0.1
    parent.parent = None

    child = GraphicsContextPdf(file="dummy")
    child._fillcolor = (0.9, 0.9, 0.9)
    child._alpha = 0.9
    child.parent = parent

    for _ in range(100):
        # Reset child to parent each time
        child._fillcolor = (0.9, 0.9, 0.9)
        child._alpha = 0.9
        child.parent = parent
        codeflash_output = child.pop()
        result = codeflash_output  # 121μs -> 101μs (20.0% faster)


def test_pop_with_large_property_values():
    """Test pop with large and diverse property values."""
    parent = GraphicsContextPdf(file="dummy")
    parent._fillcolor = (999999, 888888, 777777)
    parent._effective_alphas = (1e10, -1e10)
    parent._alpha = float("inf")
    parent._linewidth = float("-inf")
    parent.parent = None

    child = GraphicsContextPdf(file="dummy")
    child._fillcolor = (0, 0, 0)
    child._effective_alphas = (0, 0)
    child._alpha = 0
    child._linewidth = 0
    child.parent = parent

    child.pop()  # 3.18μs -> 2.52μs (25.8% 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-GraphicsContextPdf.pop-miyo7qqk and push.

Codeflash Static Badge

The optimized version achieves a 19% speedup by **eliminating the expensive `super().copy_properties(other)` call** and replacing it with direct attribute assignments. 

**Key optimization**: Instead of calling the parent class method which involves method resolution overhead, the optimized code directly copies all 18 base class properties through simple attribute assignments (`self._alpha = other._alpha`, etc.). The line profiler shows the `super().copy_properties(other)` call consumed 71.3% of the original function's time (1.43ms out of 2.00ms).

**Why this works**: Python method calls, especially `super()` calls, have significant overhead due to method resolution protocol (MRP) lookup. Direct attribute access bypasses this entirely - each assignment is just a dictionary lookup and store operation on the object's `__dict__`.

**Performance characteristics**: 
- The optimization shows consistent 20-35% improvements across most test cases involving property copying
- Particularly effective for the common use case of popping graphics contexts in PDF rendering, where this operation likely happens frequently during plot generation
- The optimization scales well - the large chain test (100 pops) maintains the ~19% speedup

**Trade-offs**: The code is now more explicit but less maintainable since it manually lists all base class attributes rather than delegating to the parent implementation. However, given that `GraphicsContextBase` attributes are stable in mature libraries like matplotlib, this is likely acceptable for the significant performance gain.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 December 9, 2025 14:23
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Dec 9, 2025
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 🎯 Quality: Medium Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant