How to use _add_process method in autotest

Best Python code snippet using autotest_python

trajectory.py

Source:trajectory.py

...138    def __init__(self, xy, kind: str):139140        self._processing = []141        super().__init__(xy, kind)142        self._add_process('initialize', 'initialize', self._kind)143144    @property145    def processing(self):146        return self._processing147148    def _add_process(self,process_type:str, process_name:str,process_parameter=None):149        """ This function is to document the changes to the data in variable "_processing"150151        @:param process_type: string152            intern keyword153        @:param process_name: string154            description of change155        @:param process_parameter: any156            value of change157        """158159        if process_type in ['filter', 'conversion', 'interpolation', 'removal', 'extension', 'data', 'calculation']:160            # reset velocities161            self._velocity = None162        elif process_type not in ['initialize', 'offset']:163            raise Exception("Process unknown! Bad Programmer")164        self._processing.append((process_name, process_parameter))165        return166167168class TrajectoryModify(TrajectoryProcess):169    """ Methods to change the content of Trajectory """170171    def __init__(self, xy, kind: str):172173        super().__init__(xy, kind)174175        self._interpolated = [False] * self._xy.shape[0]176        self._removed_duplicates = [False] * self._xy.shape[0]177178    @property179    def isnan(self):180        return np.isnan(self._xy[:, 0]+self._xy[:, 1])181182    def apply_filter(self, filter_type: str, **kwargs):183        """ Use some Filter on data.184185        :param filter_type: name of Filter (e.g. "savgol")186        :param kwargs: Parameter for selected Filter187        """188        if filter_type == 'savgol':189            self._xy = filtering.savgol_filter_trajectory(self._xy, **kwargs)190            self._add_process('filter', filter_type, kwargs)191        else:192            raise Exception('"{}" is not yet implemented'.format(filter_type))193194    @property195    def interpolated(self):196        return self._interpolated197198    def interpolate(self):199        nan_before = self.isnan200        self._xy[self.isnan, 0] = np.interp(np.nonzero(self.isnan)[0],201                                            np.nonzero(~self.isnan)[0],202                                            self._xy[~self.isnan, 0])203        self._xy[self.isnan, 1] = np.interp(np.nonzero(self.isnan)[0],204                                            np.nonzero(~self.isnan)[0],205                                            self._xy[~self.isnan, 1])206        self._interpolated = self.isnan != nan_before207        self._add_process('interpolation', 'interpolate', sum(self._interpolated))208        return self._interpolated209210    def remove_duplicates(self, threshold: int = 0):211        """ remove unchanged values212213         :param threshold: amount of ignored values (0 = every duplicate, 1 = three ore more, 2 = ..."""214        xy, remove_stats = filtering.remove_duplicates(self._xy, threshold)215        self._removed_duplicates = self.xy != xy216        self._xy = xy217        self._add_process('removal', 'removed duplicates', remove_stats)218        return remove_stats219220    def invert_y(self):221        """ y = - y """222        self._xy[:, 1] = - self._xy[:, 1]223        self._add_process('data', 'invert','y')224        return225226    def offset(self,offset_x, offset_y):227        """ xy = xy + Offset """228        self._xy[:, 0] = self._xy[:, 0] + offset_x229        self._xy[:, 1] = self._xy[:, 1] + offset_y230        self._add_process('offset', 'offset', (offset_x, offset_y))231        return232233    def center(self):234        """ centering data"""235        center_of_gravity = self.statistics['cog']236        self._xy[:, 0] = self._xy[:, 0] - center_of_gravity[0]237        self._xy[:, 1] = self._xy[:, 1] - center_of_gravity[1]238        self._add_process('offset', 'centering', -center_of_gravity)239        return240241    def scale(self,scaling_factor,scaling_y:float = None):242243        if scaling_y is None:244            self._xy = self._xy * scaling_factor245            self._add_process('calculation', 'scaling', scaling_factor)246        else:247            self._xy[:, 0] = self._xy[:, 0] * scaling_factor248            self._xy[:, 1] = self._xy[:, 1] * scaling_y249            self._add_process('calculation', 'scaling', (scaling_factor, scaling_y))250        return251252253class TrajectoryFOV(TrajectoryModify):254    """ Optional field of view:255256    @:param fov_x: width or radius (y=None) of field of view257    @:param fov_y: float height of field of view258    @:param fov_type: type of field of view - string [default_x='circle',tbd='ellipse',default_xy='rectangle']259    """260    def __init__(self, xy, kind: str,261                 fov_x: float = None, fov_y: float = None, fov_type: str = None):262263        if isinstance(fov_x,np.ndarray):264            fov_x = fov_x.item()265        if isinstance(fov_y, np.ndarray):266            fov_y = fov_y.item()267268        self._fov_x = fov_x269        self._fov_y = fov_y270271        super().__init__(xy, kind)272273        if fov_type is None:274            if fov_y is None:275                self._fov_type = 'circle'276            else:277                self._fov_type = 'rectangle'278        else:279            self._fov_type = fov_type280281    def __check_fov(self):282        if self._fov_x is None:283            raise Exception('fov_x is not defined')284        if self._fov_type == 'rectangle' and self._fov_y is None:285            raise Exception('fov_y is not defined')286287    def _set_kind(self, kind):288        if kind in ['pixel_image', 'pixel_shifted']:289            # data kind has to be centered, so the negative offset will be applied.290            if self._fov_x is None or self._fov_y is None:291                raise Exception('For "pixel_image" or "pixel_shifted" fov information is mandatory!')292            self.offset(- self._fov_x/2, - self._fov_y/2)293            if kind == 'pixel_image':294                # y is inverted and and has to be fixed295                self.invert_y()296            # noinspection PyUnresolvedReferences297            self._TrajectoryConvert__set_kind('pixel')298        else:299            # noinspection PyUnresolvedReferences300            self._TrajectoryConvert__set_kind(kind)301302    @property303    def isfov(self):304        self.__check_fov()305        if self._fov_type == 'circle':306            return np.sum(np.square(self._xy),axis=1) <= self._fov_x307        elif self._fov_type == 'rectangle':308            return abs(self._xy[:, 0]) <= self._fov_x and abs(self._xy[:, 0]) <= self._fov_y309        else:310            raise Exception('"{}" is not yet implemented.'.format(self._fov_type))311312    def has_same_infos(self, other):313        assert isinstance(other, TrajectoryFOV)314        if self._fov_x != other._fov_x or self._fov_y != other._fov_y:315            return False316        else:317            return True318319320class TrajectoryConvertError(Exception):321322    @staticmethod323    def bad_input(name, value):324        print('E: Input: {}'.format(value))325        return TrajectoryConvertError('"{name}" got unknown input "{type}" or bad shape.'.format(326            name=name, type=type(value)))327328    @staticmethod329    def assert_1d(name, value, length:int = None):330        if isinstance(value, (list, tuple)):331            if length is None or len(value) == length:332                value = np.asarray(value)333            else:334                raise TrajectoryConvertError(335                    '"{name}" expected {length} 1D input, but got {number} elements".'.format(336                        name=name, length=length, number=len(value)))337        if isinstance(value, np.ndarray):338            if len(value.shape) != 1:339                raise TrajectoryConvertError(340                    '"{name}" expected 1D input, but got {number} dimensions.'.format(341                        name=name, length=length, number=len(value.shape)))342            elif length is not None and value.shape[0] != length:343                raise TrajectoryConvertError(344                    '"{name}" expected {length} 1D input, but got {number} dimensions.'.format(345                        name=name, length=length, number=value.shape[0]))346        return value347348    @staticmethod349    def assert_2d(name, value):350        if isinstance(value, (list, tuple)):351            if len(value) == 2:352                value = np.asarray([value])353            else:354                value = np.asarray(value)355        elif isinstance(value,np.ndarray):356            if len(value.shape) == 1:357                value = np.asarray([value])358        elif value is None:359            return np.ndarray([0,2])360        else:361            raise TrajectoryConvertError('"{name}" expected 2D input, but got bad type: "{type}".'.format(362                name=name, type=type(value)))363        if not value.shape[1] == 2:364            raise TrajectoryConvertError('"{name}" expected 2D input, but got bad shape: "{shape}".'.format(365                name=name, shape=value.shape))366        return value367368369class TrajectoryConvert(TrajectoryFOV):370    """ Conversion between pixel and angle """371372    def __init__(self, xy, kind: str,373                 pix_per_mm=None, screen_dist_mm=None,374                 fov_x=None,fov_y=None,fov_type=None):375        """376        Optional experiment data (needed for conversion):377            @:param pix_per_mm: [float, float]...378                relative resolution of screen379            @:param screen_dist_mm: float380                distance of eyes to the screen381        """382383        # experiment_data384        self._pix_per_mm = None385        self.set_pix_per_mm(pix_per_mm)386387        self._screen_dist_mm = None388        self.set_screen_dist_mm(screen_dist_mm)389390        super().__init__(xy, kind,391                         fov_x=fov_x,fov_y=fov_y,fov_type=fov_type)392393    def set_pix_per_mm(self, value):394        value = TrajectoryConvertError.assert_1d('pixel2rad', value)395        self._pix_per_mm = value396397    def get_pix_per_mm(self):398        return self._pix_per_mm399400    pix_per_mm = property(get_pix_per_mm, set_pix_per_mm)401402    def set_screen_dist_mm(self, value):403        if value is None or isinstance(value, (float, int)):404            self._screen_dist_mm = value405        else:406            raise TrajectoryConvertError.bad_input('screen_dist_mm', value)407408    def get_screen_dist_mm(self):409        return self._screen_dist_mm410411    screen_dist_mm = property(get_screen_dist_mm, set_screen_dist_mm)412413    def has_same_infos(self, other):414        assert isinstance(other, TrajectoryConvert)415        if not super().has_same_infos(other) \416                or self._pix_per_mm[0] != other._pix_per_mm[0] \417                or self._pix_per_mm[1] != other._pix_per_mm[1] \418                or self._screen_dist_mm != other._screen_dist_mm:419            return False420        else:421            return True422423    @property424    def screen_params(self):425        """ for compatibility """426        return {'pix_per_mm':self._pix_per_mm,427                'screen_dist_mm':self.screen_dist_mm,428                'screen_res':self.get_fov('pixel')}429430    @staticmethod431    def screen_params_converter(screen_params: dict):432        screen_params = screen_params.copy()433        screen_params['fov_x'] = screen_params['screen_res'][0]434        screen_params['fov_y'] = screen_params['screen_res'][1]435        del screen_params['screen_res']436        return screen_params437438    def __set_kind(self, kind):439        if self._kind is None:440            if kind in ['pixel', 'angle_deg', 'angle_rad']:441                self._kind = kind442            elif kind == 'angle':443                print('W: by "angle" you mean degrees. Use "angle_deg" to suppress this warning.')444                print_file_and_line()445                self._kind = 'angle_deg'446            else:447                raise Exception('"{}" is an unknown Type'.format(kind))448        else:449            self.convert_to(kind)450451    @property452    def is_experiment_data(self):453        if self._pix_per_mm is None or self._screen_dist_mm is None:454            return False455        else:456            return True457458    def convert_to(self, kind):459        self.get_trajectory(kind, inplace=True, return_copy=False)460        return461462    def pixel2rad(self, pixel):463        assert self.is_experiment_data464        pixel = TrajectoryConvertError.assert_2d('pixel2rad', pixel)465        return np.arctan2(pixel, self._screen_dist_mm * self._pix_per_mm)466467    def rad2pixel(self, rad):468        assert self.is_experiment_data469        rad = TrajectoryConvertError.assert_2d('pixel2rad', rad)470        return self._pix_per_mm * np.tan(rad) * self._screen_dist_mm471472    def get_trajectory(self, kind, inplace: bool = False, data_slice: slice = None, return_copy: bool = True):473        """ Return xy array of type "kind"474475        :param kind: 'pixel', 'angle_rad', ... kind of data type476            'pixel_image', 'pixel_shifted' have a special role, they will always be calculated.477            Both have a shift to the first quadrant. 'pixel_image' will invert the y component478        :param inplace: if True the saved data kind will be changed (faster for the next call)479        :param data_slice: return only a part of the trajectory480        :param return_copy: will return a copy of the original data by default481        :return: ndarray482        """483        if data_slice is not None and inplace:484            raise Exception('Can not convert while slicing.')485        if kind == self.kind:486            if data_slice is None:487                xy = self._xy488            else:489                xy = self._xy[data_slice, :]490            if return_copy:491                return copy.deepcopy(xy)492            else:493                return xy494495        # it is not relevant for rad to deg496        # if not self.is_experiment_data:497        #     raise Exception('Experiment Information are necessary for conversion!')498499        def nope(self_kind, new_kind):500            return Exception('Type "{now}" can not be turned to "{to}" yet!'.format(501                now=self_kind, to=new_kind))502503        if kind == 'pixel':504            if self.kind in ['angle_rad', 'angle_deg']:505                xy = self.rad2pixel(self.get_trajectory('angle_rad', return_copy=False, data_slice=data_slice))506            else:507                raise nope(self._kind, kind)508        elif kind in ['pixel_image', 'pixel_shifted']:509            """ move the trajectory out of the center in quadrant 1510                if pixel_image is selected: invert y component bevore.511            """512            if inplace:513                raise Exception('"{}" can\'t be the saved value.'.format(kind))514            xy = self.get_trajectory('pixel', data_slice=data_slice)515            fov = self.get_fov('pixel')516            # can not use += for following lines, because xy could be integer. An Error would occur.517            xy[:, 0] = xy[:, 0] + fov[0] / 2518            if kind == 'pixel_image':519                xy[:, 1] = -xy[:, 1] + fov[1] / 2520            else:521                xy[:, 1] = xy[:, 1] + fov[1] / 2522        elif kind == 'angle_deg':523            if self.kind in ['pixel', 'angle_rad']:524                xy = np.degrees(self.get_trajectory('angle_rad', return_copy=False, data_slice=data_slice))525            else:526                raise nope(self._kind, kind)527        elif kind == 'angle_rad':528529            if data_slice is None:530                xy = copy.deepcopy(self._xy)531            else:532                xy = self._xy[data_slice, :]533534            if self.kind == 'pixel':535                xy = self.pixel2rad(xy)536            elif self.kind == 'angle_deg':537                xy = np.radians(xy)538            else:539                raise nope(self._kind, kind)540        elif kind == 'angle':541            print('W: by "angle" you mean degrees. Use "angle_deg" to suppress this warning.')542            print_file_and_line()543            kind = 'angle_deg'544            xy = self.get_trajectory(kind, return_copy=False, data_slice=data_slice)545        else:546            raise Exception('"{}" is an unknown type.'.format(kind))547        if inplace:548            self._xy = xy549            self.__convert_fov_to(kind)550            self._add_process('conversion', self._kind, kind)551            self._kind = kind552553        if return_copy and data_slice is None:554            return copy.deepcopy(xy)555        else:556            return xy557558    def __convert_fov_to(self, kind):559        self.get_fov(kind, inplace=True)560561    def get_fov(self, kind, inplace=False):562        if kind == self.kind:563            return np.asarray([self._fov_x, self._fov_y])564565        def convert(fun):566            xy = fun(np.asarray([self._fov_x, self._fov_y]) / 2) * 2567            fov_x = xy[0, 0]568            fov_y = xy[0, 1]569            if inplace:570                self._fov_x = fov_x571                self._fov_y = fov_y572            return np.asarray([fov_x, fov_y])573574        if kind == 'pixel':575            if self.kind == 'angle_rad':576                return convert(self.rad2pixel)577            elif self.kind == 'angle_deg':578                return convert(lambda x: self.rad2pixel(np.deg2rad(x)))579            else:580                raise Exception581        elif kind == 'angle_deg':582            if self.kind == 'pixel':583                return convert(lambda x: np.rad2deg(self.pixel2rad(x)))584            elif self.kind == 'angle_rad':585                return convert(np.rad2deg)586            else:587                raise Exception588        elif kind == 'angle_rad':589            if self.kind == 'pixel':590                return convert(self.pixel2rad)591            elif self.kind == 'angle_deg':592                return convert(np.deg2rad)593            else:594                raise Exception595        else:596            raise Exception597598599class TrajectoryCalculate(TrajectoryConvert):600    """ Simple Calculation Methods for Trajectory """601602    def __int__(self, xy, kind: str):603        super().__init__(xy, kind)604605    def __mul__(self, other: (int, float, list, np.ndarray)):606        result = self.deepcopy()607        result *= other608        return result609610    def __imul__(self, other: (int, float, list, np.ndarray)):611        if isinstance(other, (int, float)):612            self._xy *= other613        elif isinstance(other, list):614            if len(other) == 2:615                self._xy[:, 0] *= other[0]616                self._xy[:, 1] *= other[1]617            else:618                raise Exception('List has to have length 2. Got length {}.'.format(len(other)))619        elif isinstance(other, np.ndarray):620            if len(other.shape) == 1 and other.shape[0] == 2:621                self._xy[:, 0] *= other[0]622                self._xy[:, 1] *= other[1]623            else:624                raise Exception('ndarray has to have length 2. Got shape {}.'.format(other.shape))625626        else:627            raise Exception('"{}" is an unknown Type for multiplication.'.format(type(other)))628        self._add_process('calculation', 'multiplication', other)629        return self630631    def __truediv__(self, other: (int, float)):632        result = self.deepcopy()633        result /= other634        return result635636    def __itruediv__(self, other: (int, float)):637        assert isinstance(other, (int, float))638        self._xy /= other639        self._add_process('calculation', 'division', other)640        return self641642    def __add__(self, other: (int, float, TrajectoryConvert)):643        result = self.deepcopy()644        result += other645        return result646647    def __iadd__(self, other: (int, float, TrajectoryConvert)):648        if isinstance(other, (int, float)):649            self._xy += other650            self._add_process('calculation', 'addition', other)651        elif isinstance(other, TrajectoryConvert):652            self._xy += other.get_trajectory(self.kind)653            self._add_process('calculation', 'addition', 'Trajectory')654        return self655656    def extend(self, other: TrajectoryConvert, ignore_infos=False):657        assert isinstance(other, TrajectoryConvert)658        if not ignore_infos and not self.has_same_infos(other):659            raise Exception("Trajectory Infos are not the same!")660        self._xy = np.concatenate([self.xy, other.get_trajectory(self.kind)])661        self._interpolated += other.interpolated662        self._removed_duplicates += other._removed_duplicates663        self._add_process('extension', 'extend', 'Trajectory')664        return self665666667class TrajectoryVelocity(TrajectoryCalculate):668    """ Provides velocity values to Trajectory"""669670    def __init__(self, xy, kind: str, sample_rate: float = 1,671                 pix_per_mm=None, screen_dist_mm=None,672                 fov_x=None, fov_y=None, fov_type=None):673        """674        @:param sample_rate: int675            samples per second676            necessary to calculate a correct velocity in kind per second677        """
...

uMonitor.py

Source:uMonitor.py

...98            service["program"],99            service["program"]100            )101        return (program,)+tuple(service["args"])102    def _add_process(self, service):103        ''' Creates a process, for a given service104        specification. The executable is being mapped 105        from the "interpreters" json section. 106        Child process environment is also changed to 107        what user provided through the json config.108        '''109        service_tuple = self._service_to_tup(service)110        self.processes[service_tuple] = service111        ser_env = self._service_vars(service)112        proc = Popen(113                    service_tuple, 114                    cwd = service.get("cwd", os.getcwd()),115                    env=ser_env ,116                    stdin=PIPE, 117                    stdout=PIPE,118                    stderr=PIPE119                )120        service["proc"] = proc 121        print("Started: {}".format(service_tuple))122    def _launch_services(self):123        '''Creates child process for all the 124        given services. Services should be described125        in the __init__ config.126        '''127        services = self.config["services"]128        for service in services:129            self._add_process(service)130    def run(self):131        '''The only method, user supposed to run.132        Will create the child processes and monitor their133        execution.134        '''135        self._launch_services()136        while True:137            time.sleep(1)138            for ser_tup, service in self.processes.items():139                proc = service.get("proc")140                if (not proc) or (proc.poll() != None): 141                    if service.get("persist", False):142                        self._add_process(service)143                    else:144                        self.processes[ser_tup]["proc"] = None145                        print("Terminated: ", ser_tup)146            self.processes = dict(filter(147                lambda kv: kv[1]["proc"],  148                self.processes.items()149                ))...

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