Skip to main content
Glama

Physics MCP Server

by BlinkZer0
conftest.py2.39 kB
""" Shared pytest fixtures for Python worker tests """ import pytest import numpy as np import tempfile import os from unittest.mock import Mock, patch @pytest.fixture def mock_config(): """Mock configuration for worker tests""" return { 'artifacts_dir': '/tmp/test_artifacts', 'cache_enabled': True, 'gpu_enabled': False, 'debug': True } @pytest.fixture def sample_data(): """Sample data for testing""" return { 'signal_1d': np.array([1, 2, 3, 4, 5]), 'signal_2d': np.random.randn(10, 10), 'coordinates_x': np.linspace(-5, 5, 100), 'coordinates_y': np.linspace(-5, 5, 100), 'expression': 'x**2 + 2*x + 1', 'equation': 'x**2 - 4 = 0' } @pytest.fixture def temp_artifacts_dir(): """Temporary directory for test artifacts""" with tempfile.TemporaryDirectory() as tmpdir: yield tmpdir @pytest.fixture def mock_matplotlib(): """Mock matplotlib to avoid GUI dependencies""" with patch('matplotlib.pyplot.show'), \ patch('matplotlib.pyplot.savefig') as mock_savefig: mock_savefig.return_value = None yield mock_savefig @pytest.fixture def mock_sympy(): """Mock SymPy for predictable symbolic computation""" with patch('sympy.sympify') as mock_sympify, \ patch('sympy.diff') as mock_diff, \ patch('sympy.integrate') as mock_integrate: # Configure mocks with realistic responses mock_sympify.return_value = Mock() mock_diff.return_value = Mock() mock_integrate.return_value = Mock() yield { 'sympify': mock_sympify, 'diff': mock_diff, 'integrate': mock_integrate } @pytest.fixture def cas_worker(): """CAS worker instance for testing""" from src.cas import CAS return CAS({'artifacts_dir': '/tmp/test'}) @pytest.fixture def plot_worker(): """Plot worker instance for testing""" from src.plot import Plot return Plot({'artifacts_dir': '/tmp/test'}) @pytest.fixture def quantum_worker(): """Quantum worker instance for testing""" from src.quantum import Quantum return Quantum({'artifacts_dir': '/tmp/test'}) @pytest.fixture def data_worker(): """Data worker instance for testing""" from src.data_io import DataIO return DataIO({'artifacts_dir': '/tmp/test'})

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BlinkZer0/Phys-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server