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stubs out more testing efforts
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@ -24,31 +24,27 @@ class GWRTest(unittest.TestCase):
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"""
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fixture packed from canonical GWR georgia dataset using the
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following query:
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SELECT array_agg(ST_X(ST_Centroid(the_geom))) As x,
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array_agg(ST_Y(ST_Centroid(the_geom))) As y,
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SELECT array_agg(x) As x,
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array_agg(x) As y,
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array_agg(pctbach) As dep_var,
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array_agg(pctpov) As attr1,
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array_agg(pcteld) As attr2,
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array_agg(pctrural) As attr3,
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array_agg(pctfb) As attr4,
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array_agg(pctblack) As attr5,
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array_agg(area_key) As rowid
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array_agg(pctrural) As attr1,
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array_agg(pctpov) As attr2,
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array_agg(pctblack) As attr3,
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array_agg(areakey) As rowid
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FROM g_utm
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WHERE pctbach is not NULL AND
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pctpov IS NOT NULL AND
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pcteld IS NOT NULL AND
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pctrural IS NOT NULL AND
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pctfb IS NOT NULL AND
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pctblack IS NOT NULL
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"""
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self.data = json.loads(
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open(fixture_file('gwr_packed_data.json')).read())
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self.knowns = json.loads(
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open(fixture_file('gwr_packed_knowns.json')).read())
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# params, with ind_vars in same ordering as query above
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self.params = {'subquery': 'select * from table',
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'dep_var': 'pctbach',
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'ind_vars': ['pctpov', 'pcteld', 'pctrural', 'pctfb',
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'pctblack'],
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'ind_vars': ['pctrural', 'pctpov', 'pctblack'],
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'bw': 90.000,
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'fixed': False}
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@ -65,23 +61,35 @@ class GWRTest(unittest.TestCase):
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coeffs, stand_errs, t_vals, predicteds, residuals, r_squareds, bws, rowids = zip(*gwr_resp)
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# known_coeffs = self.knowns['coeffs']
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pctpov_coeff = self.knowns['est_pctpov']
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# data packed from https://github.com/TaylorOshan/pysal/blob/a44c5541e2e0d10a99ff05edc1b7f81b70f5a82f/pysal/examples/georgia/georgia_BS_NN_listwise.csv
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coeff_known_inter = self.knowns['est_intercept']
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coeff_known_pctpov = self.knowns['est_pctpov']
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coeff_known_pctrural = self.knowns['est_pctrural']
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coeff_known_pctblack = self.knowns['est_pctblack']
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# coeff_known_pcteld = self.knowns['est_pcteld']
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pctpov_se = self.knowns['se_pctpov']
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ids = self.knowns['area_key']
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resp_idx = None
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print sorted(pctpov_coeff[:10])
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print sorted(coeff_known_pctpov[:10])
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print sorted(
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[json.loads(coeffs[i])['pctpov']
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for i in xrange(len(coeffs))][:10])
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for idx, val in enumerate(pctpov_se):
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with open('gwr_test_data.json', 'w') as f:
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print("writing to file")
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f.write(str(zip(rowids, coeffs)))
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for idx, val in enumerate(coeff_known_pctpov):
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print idx, val, ids[idx], rowids[rowids.index(ids[idx])]
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resp_idx = rowids.index(ids[idx])
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if resp_idx is None:
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print('missed lookup on {0}'.format(ids[idx]))
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print('comparison: %f, %f' % (val, json.loads(stand_errs[resp_idx])['pctpov']))
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# print('comparison: %f, %f' % (pctpov_se[idx], ))
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print('comparison: %f, %f, %f, %f, | Intercepts: (%f, %f)' % (
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val,
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json.loads(coeffs[resp_idx])['pctpov'],
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json.loads(coeffs[resp_idx])['pctrural'],
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json.loads(coeffs[resp_idx])['pctblack'],
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coeff_known_inter[idx],
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json.loads(coeffs[resp_idx])['intercept']))
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# self.assertAlmostEquals(val, coeffs[resp_idx])
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assert False
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