Source code for pymatgen.util.testing

# coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.

Common test support for pymatgen test scripts.

This single module should provide all the common functionality for pymatgen
tests in a single location, so that test scripts can just import it and work
right away.

import unittest
import tempfile
import numpy.testing as nptu
from io import open
from pathlib import Path
import json

from monty.json import MontyDecoder
from monty.serialization import loadfn
from monty.json import MSONable
from import requires

from pymatgen import SETTINGS, MPRester

[docs]class PymatgenTest(unittest.TestCase): """ Extends unittest.TestCase with functions (taken from numpy.testing.utils) that support the comparison of arrays. """ _multiprocess_shared_ = True MODULE_DIR = Path(__file__).absolute().parent STRUCTURES_DIR = MODULE_DIR / "structures" TEST_FILES_DIR = MODULE_DIR / ".." / ".." / "test_files" """ Dict for test structures to aid testing. """ TEST_STRUCTURES = {} for fn in STRUCTURES_DIR.iterdir(): TEST_STRUCTURES[".", 1)[0]] = loadfn(str(fn))
[docs] @classmethod def get_structure(cls, name): """ Get a structure from the template directories. :param name: Name of a structure. :return: Structure """ return cls.TEST_STRUCTURES[name].copy()
[docs] @classmethod @requires(SETTINGS.get("PMG_MAPI_KEY"), "PMG_MAPI_KEY needs to be set.") def get_mp_structure(cls, mpid): """ Get a structure from MP. :param mpid: Materials Project id. :return: Structure """ m = MPRester() return m.get_structure_by_material_id(mpid)
[docs] @staticmethod def assertArrayAlmostEqual(actual, desired, decimal=7, err_msg='', verbose=True): """ Tests if two arrays are almost equal to a tolerance. The CamelCase naming is so that it is consistent with standard unittest methods. """ return nptu.assert_almost_equal(actual, desired, decimal, err_msg, verbose)
[docs] @staticmethod def assertDictsAlmostEqual(actual, desired, decimal=7, err_msg='', verbose=True): """ Tests if two arrays are almost equal to a tolerance. The CamelCase naming is so that it is consistent with standard unittest methods. """ for k, v in actual.items(): if k not in desired: return False v2 = desired[k] if isinstance(v, dict): pass_test = PymatgenTest.assertDictArraysAlmostEqual( v, v2, decimal=decimal, err_msg=err_msg, verbose=verbose) if not pass_test: return False elif isinstance(v, (list, tuple)): pass_test = nptu.assert_almost_equal(v, v2, decimal, err_msg, verbose) if not pass_test: return False elif isinstance(v, (int, float)): pass_test = PymatgenTest.assertAlmostEqual(v, v2) if not pass_test: return False else: assert v == v2 return True
[docs] @staticmethod def assertArrayEqual(actual, desired, err_msg='', verbose=True): """ Tests if two arrays are equal. The CamelCase naming is so that it is consistent with standard unittest methods. """ return nptu.assert_equal(actual, desired, err_msg=err_msg, verbose=verbose)
[docs] @staticmethod def assertStrContentEqual(actual, desired, err_msg='', verbose=True): """ Tests if two strings are equal, ignoring things like trailing spaces, etc. """ lines1 = actual.split("\n") lines2 = desired.split("\n") if len(lines1) != len(lines2): return False failed = [] for l1, l2 in zip(lines1, lines2): if l1.strip() != l2.strip(): failed.append("%s != %s" % (l1, l2)) return len(failed) == 0
[docs] def serialize_with_pickle(self, objects, protocols=None, test_eq=True): """ Test whether the object(s) can be serialized and deserialized with pickle. This method tries to serialize the objects with pickle and the protocols specified in input. Then it deserializes the pickle format and compares the two objects with the __eq__ operator if test_eq == True. Args: objects: Object or list of objects. protocols: List of pickle protocols to test. If protocols is None, HIGHEST_PROTOCOL is tested. Returns: Nested list with the objects deserialized with the specified protocols. """ # Use the python version so that we get the traceback in case of errors import pickle as pickle from pymatgen.util.serialization import pmg_pickle_load, \ pmg_pickle_dump # Build a list even when we receive a single object. got_single_object = False if not isinstance(objects, (list, tuple)): got_single_object = True objects = [objects] if protocols is None: # protocols = set([0, 1, 2] + [pickle.HIGHEST_PROTOCOL]) protocols = [pickle.HIGHEST_PROTOCOL] # This list will contains the object deserialized with the different # protocols. objects_by_protocol, errors = [], [] for protocol in protocols: # Serialize and deserialize the object. mode = "wb" fd, tmpfile = tempfile.mkstemp(text="b" not in mode) try: with open(tmpfile, mode) as fh: pmg_pickle_dump(objects, fh, protocol=protocol) except Exception as exc: errors.append("pickle.dump with protocol %s raised:\n%s" % (protocol, str(exc))) continue try: with open(tmpfile, "rb") as fh: new_objects = pmg_pickle_load(fh) except Exception as exc: errors.append("pickle.load with protocol %s raised:\n%s" % (protocol, str(exc))) continue # Test for equality if test_eq: for old_obj, new_obj in zip(objects, new_objects): self.assertEqual(old_obj, new_obj) # Save the deserialized objects and test for equality. objects_by_protocol.append(new_objects) if errors: raise ValueError("\n".join(errors)) # Return nested list so that client code can perform additional tests. if got_single_object: return [o[0] for o in objects_by_protocol] else: return objects_by_protocol
[docs] def tmpfile_write(self, string): """ Write string to a temporary file. Returns the name of the temporary file. """ fd, tmpfile = tempfile.mkstemp(text=True) with open(tmpfile, "w") as fh: fh.write(string) return tmpfile
[docs] def assertMSONable(self, obj, test_if_subclass=True): """ Tests if obj is MSONable and tries to verify whether the contract is fulfilled. By default, the method tests whether obj is an instance of MSONable. This check can be deactivated by setting test_if_subclass to False. """ if test_if_subclass: self.assertIsInstance(obj, MSONable) self.assertDictEqual(obj.as_dict(), obj.__class__.from_dict( obj.as_dict()).as_dict()) json.loads(obj.to_json(), cls=MontyDecoder)