[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -6,11 +6,11 @@ repos:
       - id: check-useless-excludes
       # - id: identity  # Prints all files passed to pre-commits. Debugging.
   - repo: https://github.com/lyz-code/yamlfix
-    rev: 1.17.0
+    rev: 1.19.0
     hooks:
       - id: yamlfix
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: check-added-large-files
         args:
@@ -44,20 +44,20 @@ repos:
     rev: v1.37.1
     hooks:
       - id: yamllint
-  - repo: https://github.com/psf/black
-    rev: 25.1.0
+  - repo: https://github.com/psf/black-pre-commit-mirror
+    rev: 25.9.0
     hooks:
       - id: black
         # It is recommended to specify the latest version of Python
         # supported by your project here
         language_version: python3.11
   - repo: https://github.com/asottile/blacken-docs
-    rev: 1.19.1
+    rev: 1.20.0
     hooks:
       - id: blacken-docs
       # exclude: docs/source/how_to_guides/optimization/how_to_specify_constraints.md
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.12.7
+    rev: v0.14.3
     hooks:
       - id: ruff
       #   args:
@@ -75,7 +75,7 @@ repos:
       - id: nbqa-black
       - id: nbqa-ruff
   - repo: https://github.com/executablebooks/mdformat
-    rev: 0.7.22
+    rev: 1.0.0
     hooks:
       - id: mdformat
         additional_dependencies:

benchmark_code/BENCHMARK_README.md

@@ -1,32 +1,43 @@
 # Benchmark Comparison Workflow
 
-This document explains how to compare performance between the main branch and a PR branch with optimizations.
+This document explains how to compare performance between the main branch and a PR
+branch with optimizations.
 
 ## Scripts Overview
 
 ### Core Scripts
-1. **`benchmark.py`** - Runs comprehensive performance benchmarks across multiple dataset sizes and saves results to JSON
-2. **`benchmark_profile.py`** - Runs profiling for a single configuration with detailed memory tracking and timing breakdown
-3. **`benchmark_compare.py`** - Compares results from two benchmark runs
+
+1. **`benchmark.py`** - Runs comprehensive performance benchmarks across multiple
+   dataset sizes and saves results to JSON
+1. **`benchmark_profile.py`** - Runs profiling for a single configuration with detailed
+   memory tracking and timing breakdown
+1. **`benchmark_compare.py`** - Compares results from two benchmark runs
 
 ### Supporting Files
-4. **`benchmark_setup.py`** - Shared configuration (TT_TARGETS, MAPPER, utilities) used by both main scripts
-5. **`benchmark_make_data.py`** - Synthetic data generation for standardized testing
-   - `make_data(N, scramble_data=False)` - Generate N households with optional data scrambling
+
+4. **`benchmark_setup.py`** - Shared configuration (TT_TARGETS, MAPPER, utilities) used
+   by both main scripts
+1. **`benchmark_make_data.py`** - Synthetic data generation for standardized testing
+   - `make_data(N, scramble_data=False)` - Generate N households with optional data
+     scrambling
    - By default, data is kept in sorted p_id order for optimal performance
    - Set `scramble_data=True` to test performance with unsorted data
-6. **`benchmark_compare.py`** - Stage-by-stage comparison tool
+1. **`benchmark_compare.py`** - Stage-by-stage comparison tool
 
 ## Key Features
 
 ### 3-Stage Timing Analysis
+
 All scripts break down execution into:
+
 - **Stage 1**: Data preprocessing & DAG creation
-- **Stage 2**: Core computation (tax/transfer calculations)  
+- **Stage 2**: Core computation (tax/transfer calculations)
 - **Stage 3**: DataFrame formatting (JAX → pandas conversion)
 
 ### Memory Tracking
-- Both `benchmark.py` and `benchmark_profile.py` now include comprehensive memory tracking
+
+- Both `benchmark.py` and `benchmark_profile.py` now include comprehensive memory
+  tracking
 - Continuous monitoring of peak memory usage during execution
 - Memory delta reporting (initial → final)
 
@@ -48,7 +59,7 @@ python benchmark.py -scramble
 # or: benchmark_results_20250819_143022_scrambled.json
 ```
 
-### Step 2: Run benchmark on PR branch 
+### Step 2: Run benchmark on PR branch
 
 ```bash
 # Switch to PR branch (ttsim)
@@ -114,7 +125,8 @@ py-spy record -o profile_scrambled.svg -- python benchmark_profile.py -N 32768 -
 
 ## Data Generation Options
 
-The `benchmark_make_data.py` module provides the `make_data()` function with the following options:
+The `benchmark_make_data.py` module provides the `make_data()` function with the
+following options:
 
 ```python
 # Generate sorted data (default - optimal performance)