codeflash-agent/.codeflash/krrt7/plotly/plotly.py

plotly.py Optimization

Performance optimization case study for plotly/plotly.py.

Results

Optimization	Target	Before	After	Improvement	Status
Iterative split_multichar	_plotly_utils/utils.py:394	1.76µs	0.86µs	2.05x	Committed locally

Optimization Targets

6 pre-identified targets focused on deepcopy overhead, quadratic validation, and string parsing:

1. to_dict() deepcopy — basedatatypes.py:3321 (needs mutation analysis)
2. _set_compound_prop() double deepcopy — basedatatypes.py:5361-5366 (needs mutation analysis)
3. add_traces() deepcopy — basedatatypes.py:2272 (needs mutation analysis)
4. ColorValidator quadratic validation — basevalidators.py:1370-1388 (needs code reading)
5. _vals_equal() numpy comparison — basedatatypes.py:5722 (skip — marginal gain)
6. split_multichar() — _plotly_utils/utils.py:394 (done — 2.05x)

Approach

1. Profile hot paths in figure creation, serialization, and validation
2. Benchmark with realistic workloads (large datasets, many traces)
3. Submit individual PRs with hyperfine/codeflash benchmark numbers

Repo Structure

.
├── README.md              # This file
├── status.md              # Session state for resuming work
├── setup.md               # Environment setup notes
├── conventions.md         # Optimization target details
├── bench/                 # Benchmark scripts
│   ├── bench_split_multichar.py
│   └── bench_vals_equal.py
└── data/
    └── results.tsv        # Raw benchmark results