How to use _apply_factors method in tox

Best Python code snippet using tox_python

test_atmospheric_retrievals.py

Source:test_atmospheric_retrievals.py Github

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...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....

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sph_iterator.py

Source:sph_iterator.py Github

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...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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