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update docs req.

update docs req. #150

Workflow file for this run

# Surfaces CI/CD Pipeline
# Tests package with minimal and full dependencies across multiple Python versions and OSes
name: tests
on:
push:
branches: [main, dev]
pull_request:
branches: [main]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
# ===========================================================================
# Stage 1: Code Quality (Fast, runs first)
# ===========================================================================
code-quality:
name: Code Quality
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install pre-commit
run: pip install pre-commit
- name: Run pre-commit
run: pre-commit run --all-files
# ===========================================================================
# Stage 2: Test with Minimal Dependencies (Core functionality)
# ===========================================================================
test-minimal:
name: Test Minimal (Py ${{ matrix.python-version }}, ${{ matrix.os }})
needs: code-quality
runs-on: ${{ matrix.os }}
defaults:
run:
shell: bash
strategy:
fail-fast: false
matrix:
python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
os: [ubuntu-latest]
include:
# Also test on macOS and Windows with one Python version
- os: macos-latest
python-version: "3.11"
- os: windows-latest
python-version: "3.11"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install minimal dependencies
run: |
python -m pip install --upgrade pip
pip install -e ".[test-minimal]"
- name: Verify minimal install (no sklearn, no viz)
run: |
python -c "
import surfaces
print(f'Surfaces version: {surfaces.__version__}')
# These should work (numpy only)
from surfaces.test_functions import SphereFunction, AckleyFunction
from surfaces.test_functions import ThreeBarTrussFunction
from surfaces.test_functions import algebraic_functions, engineering_functions
print(f'Algebraic functions: {len(algebraic_functions)}')
print(f'Engineering functions: {len(engineering_functions)}')
# Verify math functions work
sphere = SphereFunction(n_dim=2)
result = sphere({'x0': 0, 'x1': 0})
assert result == 0, f'Expected 0, got {result}'
print('Core functionality verified!')
"
- name: Test algebraic and engineering functions
run: python -m pytest -x -p no:warnings tests/test_1d_functions.py tests/test_2d_functions.py tests/test_nd_functions.py tests/test_all_test_functions.py tests/test_api/test_input_type.py tests/test_api/test_metric.py tests/test_api/test_sleep.py
# ===========================================================================
# Stage 3: Test with Full Dependencies
# ===========================================================================
test-full:
name: Test Full (Py ${{ matrix.python-version }}, ${{ matrix.os }})
needs: code-quality
runs-on: ${{ matrix.os }}
defaults:
run:
shell: bash
strategy:
fail-fast: false
matrix:
python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
os: [ubuntu-latest]
include:
- os: macos-latest
python-version: "3.11"
- os: windows-latest
python-version: "3.11"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install full dependencies
run: |
python -m pip install --upgrade pip
pip install -e ".[test]"
- name: Verify full install
run: |
python -c "
import surfaces
from surfaces.test_functions import (
algebraic_functions,
machine_learning_functions,
engineering_functions,
)
print(f'Algebraic: {len(algebraic_functions)}')
print(f'ML: {len(machine_learning_functions)}')
print(f'Engineering: {len(engineering_functions)}')
assert len(machine_learning_functions) > 0, 'ML functions not available'
print('Full installation verified!')
"
- name: Run all tests
run: python -m pytest -x -p no:warnings tests/
# ===========================================================================
# Stage 3b: Integration Tests with Optimization Libraries
# ===========================================================================
test-integrations:
name: Integration Tests (Py ${{ matrix.python-version }})
needs: code-quality
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.10", "3.11", "3.12"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e ".[full]"
pip install pytest pytest-cov
pip install gradient-free-optimizers
pip install optuna
pip install scipy
- name: Test with Gradient-Free-Optimizers
run: |
python -m pytest -x -p no:warnings \
tests/test_optimization.py \
tests/test_api/test_search_space.py
- name: Test with Optuna
run: |
python -c "
import optuna
from surfaces.test_functions import SphereFunction, AckleyFunction
# Test Sphere with Optuna
sphere = SphereFunction(n_dim=2)
def objective(trial):
x0 = trial.suggest_float('x0', -5, 5)
x1 = trial.suggest_float('x1', -5, 5)
return sphere({'x0': x0, 'x1': x1})
study = optuna.create_study(direction='minimize')
study.optimize(objective, n_trials=20, show_progress_bar=False)
print(f'Optuna best value: {study.best_value:.6f}')
assert study.best_value < 1.0, f'Optuna optimization failed: {study.best_value}'
print('Optuna integration verified!')
"
- name: Test with Scipy
run: |
python -c "
import numpy as np
from scipy.optimize import minimize, differential_evolution
from surfaces.test_functions import SphereFunction, RosenbrockFunction
# Test Sphere with scipy.minimize
sphere = SphereFunction(n_dim=2)
def sphere_scipy(x):
return sphere({'x0': x[0], 'x1': x[1]})
result = minimize(sphere_scipy, x0=[1.0, 1.0], method='Nelder-Mead')
print(f'Scipy minimize result: {result.fun:.6f}')
assert result.fun < 0.01, f'Scipy minimize failed: {result.fun}'
# Test with differential evolution
bounds = [(-5, 5), (-5, 5)]
result_de = differential_evolution(sphere_scipy, bounds, maxiter=50, seed=42)
print(f'Scipy DE result: {result_de.fun:.6f}')
assert result_de.fun < 0.01, f'Scipy DE failed: {result_de.fun}'
print('Scipy integration verified!')
"
# ===========================================================================
# Stage 4: Coverage (only on Ubuntu, Python 3.11)
# ===========================================================================
coverage:
name: Coverage
needs: [test-minimal, test-full]
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e ".[test]"
- name: Run tests with coverage
run: |
python -m pytest tests/ \
--cov=surfaces \
--cov-report=term-missing \
--cov-report=xml \
-p no:warnings
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
with:
files: ./coverage.xml
fail_ci_if_error: false
verbose: true