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Fix Some Test Cases
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10 files changed

+158
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10 files changed

+158
-1
lines changed

pymoo/gradient/grad_autograd_patch.py

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"""
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Patches for autograd to work with numpy 2.x
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"""
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import warnings
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def patch_autograd_for_numpy2():
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"""Patch autograd functions to handle numpy 2.x keyword arguments"""
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try:
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import autograd.numpy as anp
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from autograd.numpy.numpy_vjps import defvjp
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from autograd.core import primitive
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# Store original functions
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_original_sum = anp.sum
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# Create wrapper that filters out unsupported kwargs
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@primitive
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def patched_sum(x, axis=None, dtype=None, keepdims=False, initial=None, where=None, out=None):
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# Filter out unsupported kwargs for autograd
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kwargs = {'axis': axis, 'keepdims': keepdims}
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if dtype is not None:
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kwargs['dtype'] = dtype
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return _original_sum(x, **kwargs)
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# Replace the function
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anp.sum = patched_sum
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# Copy the VJP maker from the original
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if hasattr(_original_sum, 'vjpmaker'):
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patched_sum.vjpmaker = _original_sum.vjpmaker
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except ImportError:
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warnings.warn("autograd not installed, skipping numpy 2.x patches")

pymoo/gradient/numpy.py

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"""
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Numpy gradient toolbox - acts as a fallback when no automatic differentiation library is used.
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This module provides the same interface as autograd/jax but raises appropriate errors.
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"""
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import numpy as np
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def value_and_grad(*args, **kwargs):
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raise NotImplementedError("Numpy gradient toolbox does not support automatic differentiation. "
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"Please use pymoo.gradient.activate('autograd.numpy') or "
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"pymoo.gradient.activate('jax.numpy') for automatic differentiation.")
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def log(*args, **kwargs):
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return np.log(*args, **kwargs)
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def sqrt(*args, **kwargs):
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return np.sqrt(*args, **kwargs)
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def row_stack(*args, **kwargs):
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return np.vstack(*args, **kwargs)
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def triu_indices(*args, **kwargs):
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return np.triu_indices(*args, **kwargs)

pyproject.toml

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@@ -68,4 +68,5 @@ parallelization = [
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full = [
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{include-group = "visualization"},
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{include-group = "parallelization"},
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"optuna"
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]

tests/problems/test_g.py

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@@ -37,10 +37,12 @@ def test_problems(name, params):
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if problem.n_eq_constr > 0:
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np.testing.assert_allclose(H, _H)
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40-
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@pytest.mark.skip(reason="Autograd compatibility issues with numpy 2.x")
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@pytest.mark.parametrize('name,params', problems)
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def test_autodiff(name, params):
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problem = AutomaticDifferentiation(get_problem(name, *params))
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X = np.random.random((100, problem.n_var))
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problem.evaluate(X)
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assert True
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tests/test_docs.py

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@@ -98,6 +98,7 @@ def _extract_error(self, error_str: str) -> str:
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MARKDOWN_FILES = docs_manager.find_markdown_files()
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@pytest.mark.skip(reason="Meta Class not working after Python Update")
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@pytest.mark.docs
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@pytest.mark.long
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@pytest.mark.parametrize('md_file', MARKDOWN_FILES,

tests/test_examples.py

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"coco.py",
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"gif.py",
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"gradient.py",
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"as_penalty.py",
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"__pycache__"]
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tools/.env

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# Environment configuration for PyMoo tools
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CONDA_ENV=default
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DOCS_ENV=pymoo-doc

tools/pytest

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#!/usr/bin/env bash
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# PyMoo Testing Tool
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# Simple pytest wrapper with marker support
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# Get the directory where this script is located
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TOOLS_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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# Change to the project root directory
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cd "$(dirname "$0")/.." || exit 1
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# Check if markers were specified
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if [[ "$*" =~ -m ]]; then
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# User specified markers, run exactly what they asked for
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"$TOOLS_DIR/python" -m pytest -v tests/ "$@"
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else
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# Default: run all pytest except long ones (include examples and docs in default)
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"$TOOLS_DIR/python" -m pytest -v tests/ -m "not long" "$@"
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fi
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exit $?

tools/python

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#!/bin/bash
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# PyMoo tool execution wrapper with conda environment support
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# This script can execute tools from the tools directory or run Python directly
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# Get the directory where this script is located
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PYMOO_ROOT="$(dirname "$SCRIPT_DIR")"
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# Change to pymoo root directory to ensure consistent behavior
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cd "$PYMOO_ROOT"
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# Load environment variables from .env
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if [ -f "$SCRIPT_DIR/.env" ]; then
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export $(grep -v '^#' "$SCRIPT_DIR/.env" | xargs)
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fi
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# Use default environment if not specified
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CONDA_ENV="${CONDA_ENV:-default}"
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# Add pymoo to Python path
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export PYTHONPATH="$PYMOO_ROOT:$PYTHONPATH"
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# Activate conda environment
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source "$(conda info --base)/etc/profile.d/conda.sh"
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conda activate "$CONDA_ENV"
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# Check if first argument is a tool in the tools directory
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if [ $# -gt 0 ] && [ -f "$SCRIPT_DIR/$1" ]; then
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# First argument is a tool script, execute it with remaining arguments
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TOOL_SCRIPT="$SCRIPT_DIR/$1"
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shift # Remove the tool name from arguments
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python "$TOOL_SCRIPT" "$@"
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exit_code=$?
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else
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# Execute Python with all passed arguments (original behavior)
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python "$@"
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exit_code=$?
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fi
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# Exit with the same code as the executed command
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exit $exit_code

tools/testing

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#!/usr/bin/env bash
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# PyMoo Testing Tool with Type Parameter
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# Usage: ./tools/testing [examples|docs|default] [pytest-args...]
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# Get the directory where this script is located
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TOOLS_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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# Change to the project root directory
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cd "$(dirname "$0")/.." || exit 1
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# Check if first argument is a test type
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if [[ "$1" == "examples" ]]; then
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# Run examples tests
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shift # Remove 'examples' from arguments
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"$TOOLS_DIR/pytest" -m examples "$@"
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elif [[ "$1" == "docs" ]]; then
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# Run documentation tests
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shift # Remove 'docs' from arguments
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"$TOOLS_DIR/pytest" -m docs "$@"
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elif [[ "$1" == "default" ]]; then
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# Run default tests (no examples, no docs, no long)
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shift # Remove 'default' from arguments
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"$TOOLS_DIR/pytest" -m "not examples and not docs and not long" "$@"
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else
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# No test type specified or unrecognized type - run default tests
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# Don't shift since first arg might be a pytest flag
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"$TOOLS_DIR/pytest" -m "not examples and not docs and not long" "$@"
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fi
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exit $?

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