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How to use _apply_factors method in tox

Best Python code snippet using tox_python

test_atmospheric_retrievals.py

Source:test_atmospheric_retrievals.py

...59    pw.bins = [[w-0.0095e-6, w+0.0095e-6] for w in pw.wavelengths]60    pw.depths = 1e-6 * np.array([14512.7, 14546.5])61    pw.errors = 1e-6 * np.array([50.6, 35.5])62    return pw63def test_apply_factors():64    """Test the ``_apply_factors()`` function in ``platon_wrapper``65    module.66    """67    params = {'Rs': 1.19, 'Mp': 0.73, 'Rp': 1.4}68    params = _apply_factors(params)69    assert isinstance(params, dict)70    assert params['Rs'] == 827883000.071    assert params['Mp'] == 1.3856787e+2772    assert params['Rp'] == 100088800.073def test_get_config():74    """Tests the ``get_config`` function in ``aws_tools`` module."""75    settings = get_config()76    assert isinstance(settings, dict)77    assert 'ec2_id' in settings78    assert 'ssh_file' in settings79@pytest.mark.skipif(ON_TRAVIS, reason='Test takes too long on Travis server.  Try testing locally.')80def test_retrieve_emcee():81    """Test that the ``emcee`` method of ``platon_wrapper``82    produces results for a small example....

sph_iterator.py

Source:sph_iterator.py

...27			assert num == self.ngroups, errstr.format(fname, num, self.ngroups)28			return factors29	30	31	def _apply_factors(self, factors):32		for ekey in self._calculate_sph:33			elem = self.elements[ekey]34			elem.add_sph_factors_from_array(factors)35	36	37	def solve_for_sph_factors(self, max_iter, eps, nproc=4, overwrite=False):38		self._set_sph_keys()39		mu = self._load_factors()40		diff = eps + 141		for i in range(self._last_iter + 1, max_iter + 1):42			header = "SPH ITERATION {}:".format(i)43			header += '\n' + '-'*len(header)44			print("\n\n" + header)45			self._case.reset()46			self._apply_factors(mu)47			self.save_suffix = _fmt_iter(i)48			self._set_path(overwrite=overwrite)49			print("Running", self.get_report())50			self._case.run_openmoc(51				nproc=nproc,52				export_path=self._path,53				calculate_sph=self._sph_keys,54				**vars(self))55			self._last_iter = i56			last_mu = mu57			mu = self._load_factors()58			diff = np.divide(abs(mu - last_mu), mu).max()59			print("SPH max eps: {:8.6f}".format(diff))60			if diff <= eps:...

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