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How to use _get_intercept method in gabbi

Best Python code snippet using gabbi_python

linear.py

Source:linear.py

...7    def assemble(self):8        return self._build_ast()9    def _build_ast(self):10        coef = utils.to_2d_array(self._get_coef())11        intercept = utils.to_1d_array(self._get_intercept())12        if coef.shape[0] == 1:13            return self._final_transform(_linear_to_ast(coef[0], intercept[0]))14        exprs = [15            self._final_transform(_linear_to_ast(coef[idx], intercept[idx]))16            for idx in range(coef.shape[0])17        ]18        return ast.VectorVal(exprs)19    def _final_transform(self, ast_to_transform):20        return ast_to_transform21    def _get_intercept(self):22        raise NotImplementedError23    def _get_coef(self):24        raise NotImplementedError25class SklearnLinearModelAssembler(BaseLinearModelAssembler):26    def _get_intercept(self):27        return getattr(self.model, "intercept_", np.zeros(self._get_coef().shape[0]))28    def _get_coef(self):29        return self.model.coef_30class StatsmodelsLinearModelAssembler(BaseLinearModelAssembler):31    def __init__(self, model):32        super().__init__(model)33        const_idx = self.model.model.data.const_idx34        if const_idx is None and self.model.k_constant:35            raise ValueError("Unknown constant position")36        self.const_idx = const_idx37    def _get_intercept(self):38        return (self.model.params[self.const_idx]39                if self.model.k_constant40                else 0.0)41    def _get_coef(self):42        idxs = np.arange(len(self.model.params))43        return (44            self.model.params[idxs != self.const_idx]45            if self.model.k_constant46            else self.model.params)47class ProcessMLEModelAssembler(BaseLinearModelAssembler):48    def _get_intercept(self):49        return 0.050    def _get_coef(self):51        return self.model.params[:self.model.k_exog]52class GLMMixin:53    def _final_transform(self, ast_to_transform):54        link_function = self._get_link_function_name()55        link_function_lower = link_function.lower()56        supported_inversed_funs = self._get_supported_inversed_funs()57        if link_function_lower not in supported_inversed_funs:58            raise ValueError(f"Unsupported link function '{link_function}'")59        fun = supported_inversed_funs[link_function_lower]60        return fun(ast_to_transform)61    def _get_link_function_name(self):62        raise NotImplementedError...

suite.py

Source:suite.py

...32        """Override TestSuite run to start suite-level fixtures.33        To avoid exception confusion, use a null Fixture when there34        are no fixtures.35        """36        fixtures, intercept, host, port, prefix = self._get_intercept()37        try:38            with fixture.nest([fix() for fix in fixtures]):39                if intercept:40                    with interceptor.Urllib3Interceptor(41                            intercept, host, port, prefix):42                        result = super(GabbiSuite, self).run(result, debug)43                else:44                    result = super(GabbiSuite, self).run(result, debug)45        except unittest.SkipTest as exc:46            for test in self._tests:47                result.addSkip(test, str(exc))48        # If we have an exception in the nested fixtures, that means49        # there's been an exception somewhere in the cycle other50        # than a specific test (as that would have been caught51        # already), thus from a fixture. If that exception were to52        # continue to raise here, then some test runners would53        # swallow it and the traceback of the failure would be54        # undiscoverable. To ensure the traceback is reported (via55        # the testrunner) to a human, the first test in the suite is56        # marked as having an error (it's fixture failed) and then57        # the entire suite is skipped, and the result stream told58        # we're done. If there are no tests (an empty suite) the59        # exception is re-raised.60        except Exception:61            if self._tests:62                result.addError(self._tests[0], sys.exc_info())63                for test in self._tests:64                    result.addSkip(test, 'fixture failure')65                result.stop()66            else:67                raise68        return result69    def start(self, result, tests=None):70        """Start fixtures when using pytest."""71        tests = tests or []72        fixtures, intercept, host, port, prefix = self._get_intercept()73        self.used_fixtures = []74        try:75            for fix in fixtures:76                fix_object = fix()77                fix_object.__enter__()78                self.used_fixtures.append(fix_object)79        except unittest.SkipTest as exc:80            # Disable the already collected tests that we now wish81            # to skip.82            for test in tests:83                test.run = noop84                test.add_marker('skip')85            result.addSkip(self, str(exc))86        if intercept:87            intercept_fixture = interceptor.Urllib3Interceptor(88                intercept, host, port, prefix)89            intercept_fixture.__enter__()90            self.used_fixtures.append(intercept_fixture)91    def stop(self):92        """Stop fixtures when using pytest."""93        for fix in reversed(self.used_fixtures):94            fix.__exit__(None, None, None)95    def _get_intercept(self):96        fixtures = [fixture.GabbiFixture]97        intercept = host = port = prefix = None98        try:99            first_test = self._find_first_full_test()100            fixtures = first_test.fixtures101            host = first_test.host102            port = first_test.port103            prefix = first_test.prefix104            intercept = first_test.intercept105            # Unbind a passed in WSGI application. During the106            # metaclass building process intercept becomes bound.107            try:108                intercept = intercept.__func__109            except AttributeError:...

regression_tester.py

Source:regression_tester.py

...24        rstring = ''25        if not self.is_skl:26            rstring = str(self.regression)27        else:28            rstring = '{0} {1}'.format(self._get_intercept(),29                                       self._get_coef())30        print('-' * 20, self.key, '-' * 20)31        print('P = ', rstring)32    def prints(self, dataset):33        data = self.data_cache[dataset]34        X, Y = self.split(data)35        print('S = {0:.2f} %  C = {1:.2f}'36              .format(*Stats().calculate(37                  self.regression, X, Y, self.precision)))38    def printy(self, dataset, count=10):39        if not count:40            return41        data = self.data_cache[dataset]42        X, Y = self.split(data)43        for i, y in ((i, y) for i, y in44                     enumerate(self.regression.predict(X)) if i < count):45            print('Ye = {0:.2f}, Yr = {1}'.format(y, Y[i]))46    def split(self, data):47        lt = int(self.is_skl)48        X = [f[lt:-1] for f in data]49        Y = [f[-1] for f in data]50        return X, Y51    def _get_intercept(self):52        if hasattr(self.regression, 'intercept_'):53            return self.regression.intercept_54        if hasattr(self.regression, 'intercepts_'):55            return (str(self.regression.intercepts_)56                    .replace('\n', '')57                    .replace('\t', '')58                    .replace(' ', '')59                    .replace('array', ''))60        raise Exception('Solver not supported')61    def _get_coef(self):62        if hasattr(self.regression, 'coef_'):63            return str(self.regression.coef_).replace('\n', '')64        if hasattr(self.regression, 'coefs_'):65            return (str(self.regression.coefs_)...

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