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How to use funcobj method in pytest-play

Best Python code snippet using pytest-play_python

blueprint.py

Source:blueprint.py

...57gRPCMethodsType = List[AbstractRpcMethod]58class UnaryUnaryRpcMethod(AbstractRpcMethod):59    if TYPE_CHECKING:  # pragma: no cover60        @staticmethod61        def funcobj(bp: "Blueprint", request: Message, contest: Context) -> Message:62            pass63    def to_rpc_method(self) -> str:64        return f"rpc {self.name} ({self.request_cls.__name__}) returns ({self.response_cls.__name__}) {{}}"65    def handle_call(66        self, bp: "Blueprint", message: GeneratedProtocolMessageType, context: Context67    ) -> GeneratedProtocolMessageType:68        current_request = self.request_cls()69        current_request.init_grpc_message(grpc_message=message)70        with bp.current_app.app_context(bp, self.funcobj, context):71            # TODO: using cygrpc.install_context_from_request_call_event to prepare context72            try:73                current_request = bp.current_app.process_request(74                    current_request, context75                )76                current_request = bp.before_request(current_request, context)77                response = self.funcobj(bp, current_request, context)78                bp_response = bp.after_request(response, context)79                app_response = bp.current_app.process_response(bp_response, context)80                return app_response.__message__81            except Exception as e:82                response = bp.current_app.handle_exception(e, context)83                if response:84                    return response.__message__85class UnaryStreamRpcMethod(AbstractRpcMethod):86    if TYPE_CHECKING:  # pragma: no cover87        @staticmethod88        def funcobj(89            bp: "Blueprint", request: Message, contest: Context90        ) -> Iterator[Message]:91            pass92    def to_rpc_method(self) -> str:93        return f"rpc {self.name} ({self.request_cls.__name__}) returns (stream {self.response_cls.__name__}) {{}}"94    def handle_call(95        self, bp: "Blueprint", message: GeneratedProtocolMessageType, context: Context96    ) -> Iterable[GeneratedProtocolMessageType]:97        current_request = self.request_cls()98        current_request.init_grpc_message(grpc_message=message)99        with bp.current_app.app_context(bp, self.funcobj, context):100            # TODO: using cygrpc.install_context_from_request_call_event to prepare context101            try:102                current_request = bp.current_app.process_request(103                    current_request, context104                )105                current_request = bp.before_request(current_request, context)106                for response in self.funcobj(bp, current_request, context):107                    yield response.__message__108            except Exception as e:109                yield from map(110                    attrgetter("__message__"),111                    bp.current_app.handle_exception(e, context),112                )113class StreamUnaryRpcMethod(AbstractRpcMethod):114    if TYPE_CHECKING:  # pragma: no cover115        @staticmethod116        def funcobj(117            bp: "Blueprint", request: Iterator[Message], contest: Context118        ) -> Message:119            pass120    def to_rpc_method(self) -> str:121        return f"rpc {self.name} (stream {self.request_cls.__name__}) returns ({self.response_cls.__name__}) {{}}"122    def handle_call(123        self,124        bp: "Blueprint",125        message: Iterable[GeneratedProtocolMessageType],126        context: Context,127    ) -> GeneratedProtocolMessageType:128        request_iterator = self.request_iterator(message)129        with bp.current_app.app_context(bp, self.funcobj, context):130            # TODO: using cygrpc.install_context_from_request_call_event to prepare context131            try:132                response = self.funcobj(bp, request_iterator, context)133                bp_response = bp.after_request(response, context)134                app_response = bp.current_app.process_response(bp_response, context)135                return app_response.__message__136            except Exception as e:137                response = bp.current_app.handle_exception(e, context)138                if response:139                    return response.__message__140class StreamStreamRpcMethod(AbstractRpcMethod):141    if TYPE_CHECKING:  # pragma: no cover142        @staticmethod143        def funcobj(144            bp: "Blueprint", request: Iterator[Message], contest: Context145        ) -> Iterator[Message]:146            pass147    def to_rpc_method(self) -> str:148        return f"rpc {self.name} (stream {self.request_cls.__name__}) returns (stream {self.response_cls.__name__}) {{}}"149    def handle_call(150        self,151        bp: "Blueprint",152        message: Iterable[GeneratedProtocolMessageType],153        context: Context,154    ) -> Iterable[GeneratedProtocolMessageType]:155        request_iterator = self.request_iterator(message)156        with bp.current_app.app_context(bp, self.funcobj, context):157            # TODO: using cygrpc.install_context_from_request_call_event to prepare context158            try:159                for response in self.funcobj(bp, request_iterator, context):160                    yield response.__message__161            except Exception as e:162                yield from map(163                    attrgetter("__message__"),164                    bp.current_app.handle_exception(e, context),165                )166RequestType = TypeVar("RequestType", bound=Message)167ResponseType = TypeVar("ResponseType", bound=Message)168class InvalidRPCMethod(Exception):169    pass170class Blueprint:171    """gRPCAlchemy uses a concept of blueprints for making gRPC services and172    supporting common patterns within an application or across applications.173    Blueprints can greatly simplify how large applications work. A Blueprint object...

pytest_.py

Source:pytest_.py

...18            if event == 'return':19                funclocals.update(frame.f_locals.copy())20    sys.setprofile(_tracefunc)21    try:22        funcobj(*args, **kwargs)23    finally:24        sys.setprofile(None)25    return funclocals26def make_module_from_function(funcobj):27    """Evaluates the local scope of a function, as if it was a module"""28    module = imp.new_module(funcobj.__name__)29    scope = marks.get(funcobj, 'scope')30    funclocals = trace_function(funcobj, scope)31    module.__dict__.update(funclocals)32    return module33def copy_markinfo(module, funcobj):34    from _pytest.mark import MarkInfo35    marks = {}36    for name, val in funcobj.__dict__.items():...

ls_sgd_solver.py

Source:ls_sgd_solver.py

1import argparse2import numpy as np3class RosenBroke:4    def __init__(self, N) -> None:5        self.N = N6        self.x1 = np.zeros(N)7        self.x2 = np.zeros(N)8    9    def fx(self):10        z = 100 * np.square(np.square(self.x1) - self.x2) + np.square(self.x1 - 1)11        return z.sum()12    def get_x(self):13        return np.stack((self.x1, self.x2), axis=1).reshape(2*self.N)14    def get_gradiant_T(self):15        odd_vec = 100 * (4 * np.power(self.x1, 3) - 4 * self.x2 * self.x1) + 2 * (self.x1 - 1)16        even_vec = 200 * self.x2 - 200 * np.square(self.x1)17        return np.stack((odd_vec, even_vec), axis=1).reshape(2*self.N)18    def get_hessian(self):19        A = 100 * (12 * np.square(self.x1) - 4 * self.x2) + 220        B = 100 * (-4 * self.x1)21        C = -4 * self.x122        D = 2 * np.ones(self.N)23        H = np.zeros((2 * self.N, 2 * self.N))24        for i in range(self.N):25            H[2*i, 2*i] = A[i]26            H[2*i + 1, 2*i + 1] = D[i]27            H[2*i, 2*i + 1] = B[i]28            H[2*i + 1, 2*i] = C[i]29        return H30    def set_x(self, x):31        self.x1, self.x2 = x.reshape(self.N, 2).transpose()32        return self33class LinearSearchSGDSolver:34    def __init__(self, funcObj, c=0.5, max_itr=1000) -> None:35        self.funcObj = funcObj36        self.max_itr = max_itr37        self.c = c38    def solve(self):39        for _ in range(self.max_itr):40            tau = 141            G_T = self.funcObj.get_gradiant_T()42            # print("G_T: ", G_T)43            d_T = - self._norm(G_T)44            # d_T = - G_T45            x = self.funcObj.get_x()46            # print("x: ", x)47            fx = self.funcObj.fx()48            # print("fx: ", fx)49            while tau > 1e-6:50                x_next = x + tau * d_T51                # print("x_next: ", x_next)52                fx_next = self.funcObj.set_x(x_next).fx()53                # print("fx_next: ", fx_next)54                impro_factor = - self.c * tau * np.dot(d_T, G_T)55                # print("if: ", impro_factor)56                if fx - fx_next >= impro_factor:57                    break58                tau = tau / 259            print("===> ", x)60            if impro_factor < 1e-16:61                break62        return self.funcObj.get_x()63    def _norm(self, x):64        return x / np.sqrt(np.sum(x**2))65def main(args):66    funcObj = RosenBroke(args.N)67    # print(funcObj.get_x())68    # print(funcObj.get_gradiant())69    # print(funcObj.get_hessian())70    solver = LinearSearchSGDSolver(funcObj, max_itr=10000)71    result = solver.solve()72if __name__ == "__main__":73    parser = argparse.ArgumentParser()74    parser.add_argument('-N', type=int, default=1)75    args = parser.parse_args()...

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