KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use _is_list method in autotest

Best Python code snippet using autotest_python

AbstractDataContainer.py

Source:AbstractDataContainer.py

1from typing import Any2class AbstractDataContainer:3    def __init__(self):4        self._container = None5        self._is_dictionary = False6        self._is_list = False7    def __getitem__(self, key: str):8        if self._is_dictionary:9            return self._container[key]10        elif self._is_list:11            for item in self._container:12                if item[0] == key:13                    return item[1]14    def __setitem__(self, key: str, value):15        if self._is_dictionary:16            self._container[key] = value17        elif self._is_list:18            for item in self._container:19                if item[0] == key:20                    item[1] = value21    def __iter__(self):22        if self._is_dictionary:23            self._container_iterator = iter(self._container.items())24        elif self._is_list:25            self._container_iterator = iter(self._container)26        return self27    def __next__(self):28        if self._is_dictionary:29            return next(self._container_iterator)30        elif self._is_list:31            item = next(self._container_iterator)32            return item[0], item[1]33    def __len__(self):34        if self._container is not None:35            return len(self._container)36        else:37            return 038    def __eq__(self, other):39        if isinstance(other, AbstractDataContainer):40            if (self._is_dictionary and other.is_dictionary()) or \41                    (self._is_list and other.is_list()):42                return self._container == other._container43            elif not self._is_dictionary and not self._is_list and not other.is_dictionary() and not other.is_list():44                return True45            else:46                raise TypeError47        else:48            raise TypeError49    def __ne__(self, other):50        if isinstance(other, AbstractDataContainer):51            if (self._is_dictionary and other._is_dictionary) or \52                    (self._is_list and other._is_list):53                return self._container != other._container54            else:55                raise TypeError56        else:57            raise TypeError58    def __contains__(self, other):59        if isinstance(other, AbstractDataContainer):60            if self._is_dictionary and other._is_dictionary:61                return self._compare_dictionaries(other)62            elif self._is_list and other._is_list:63                return self._compare_lists(other)64            else:65                raise TypeError66        else:67            raise TypeError68    def __repr__(self):69        return 'AbstractDataContainer('f'container={self._container}, 'f'is_dictionary={self._is_dictionary}, ' \70               f'is_list={self._is_list})'71    def _compare_dictionaries(self, other):72        for key1 in other._container.keys():73            if key1 not in self._container or self._container[key1] != other._container[key1]:74                return False75        return True76    def _compare_lists(self, other):77        for item in other._container:78            if item not in self._container:79                return False80        return True81    def create_dictionary(self):82        self._container = {}83        self._is_dictionary = True84    def create_list(self):85        self._container = []86        self._is_list = True87    def append(self, key: str, value: Any):88        if self._is_dictionary:89            self._container[key] = value90        elif self._is_list:91            self._container.append([key, value])92    def get(self, key: str):93        if self._is_dictionary:94            return self._container.get(key, None)95        elif self._is_list:96            for item in self._container:97                if item[0] == key:98                    return item[1]99            return None100    def get_values_as_list(self) -> list:101        if self._is_dictionary:102            return list(self._container.values())103        elif self._is_list:104            return [item[1] for item in self._container]105    def extend(self, other):106        if isinstance(other, AbstractDataContainer):107            if self._is_dictionary and other._is_dictionary:108                self._container.update(other._container)109            elif self._is_list and other._is_list:110                self._container.extend(other._container)111            else:112                raise TypeError113        else:114            raise TypeError115    def pop(self, key: str):116        if self._is_dictionary:117            return self._container.pop(key)118        elif self._is_list:119            item_position = -1120            for position, item in enumerate(self._container):121                if item[0] == key:122                    item_position = position123            if item_position == -1:124                raise KeyError125            return self._container.pop(item_position)[1]126    def is_dictionary(self) -> bool:127        return self._is_dictionary128    def is_list(self) -> bool:...

image_like.py

Source:image_like.py

1import matplotlib.pyplot as plt2import numpy as np3from visualplot.blocks.base import Block4class Pcolormesh(Block):5    """ Animates a pcolormesh """6    def __init__(self, *args, ax=None, t_axis=0, **kwargs):7        """8        :param X : 1D or 2D np.ndarray, optional9        :param Y : 1D or 2D np.ndarray, optional10        :param C : list of 2D np.ndarray or a 3D np.ndarray11        :param ax : matplotlib.axes.Axes, optional12            The matplotlib axes to attach the block to.13            Defaults to matplotlib.pyplot.gca()14        :param t_axis : int, optional15            The axis of the array that represents time. Defaults to 0.16            No effect if C is a list.17        All other keyword arguments get passed to ``axis.pcolormesh``18        see :meth:`matplotlib.axes.Axes.pcolormesh` for details.19        """20        if len(args) == 1:21            self.C = args[0]22            self._arg_len = 123        elif len(args) == 3:24            self.X, self.Y, self.C = args25            self._arg_len = 326            if len(self.X.shape) not in [1, 2]:27                raise TypeError('X must be a 1D or 2D arrays')28            if len(self.Y.shape) not in [1, 2]:29                raise TypeError('Y must be a 1D or 2D arrays')30        else:31            raise TypeError('Illegal arguments to pcolormesh; see help(pcolormesh)')32        super().__init__(ax, t_axis)33        self._is_list = isinstance(self.C, list)34        self.C = np.asanyarray(self.C)35        slice_c = self._make_slice(0, 3)36        # replicate matplotlib logic for setting default shading value because37        # matplotlib resets the _shading member variable of the QuadMesh to "flat" after38        # interpolating X and Y to corner positions39        self.shading = kwargs.get('shading', plt.rcParams.get('pcolor.shading', 'flat'))40        Nx = self.X.shape[-1]41        Ny = self.Y.shape[0]42        if self.shading == 'auto':43            if (Ny, Nx) == self.C[slice_c].shape:44                self.shading = 'nearest'45            else:46                self.shading = 'flat'47        if self.shading == "flat" and ((Ny - 1, Nx - 1) == self.C[slice_c].shape):48            # Need to slice without the workaround in _update()49            self.shading = "flat_corner_grid"50        if self._arg_len == 1:51            self.quad = self.ax.pcolormesh(self.C[slice_c], **kwargs)52        elif self._arg_len == 3:53            self.quad = self.ax.pcolormesh(self.X, self.Y, self.C[slice_c], **kwargs)54    def _update(self, i):55        if self.shading == "flat":56            slice_c = self._make_pcolormesh_flat_slice(i, 3)57            self.quad.set_array(self.C[slice_c].ravel())58        else:59            slice_c = self._make_slice(i, 3)60            self.quad.set_array(self.C[slice_c])61        return self.quad62    def __len__(self):63        if self._is_list:64            return self.C.shape[0]65        return self.C.shape[self.t_axis]66    def _make_pcolormesh_flat_slice(self, i, dim):67        if self._is_list:68            return i69        slice_c = [slice(-1)] * 3  # weird thing to make animation work70        slice_c[self.t_axis] = i71        return tuple(slice_c)72class Imshow(Block):73    """ Animates a series of images """74    def __init__(self, images, ax=None, t_axis=0, **kwargs):75        """76        :param images: list of 2D/3D arrays, or a 3D or 4D array77            matplotlib considers arrays of the shape78            (n,m), (n,m,3), and (n,m,4) to be images.79            Images is either a list of arrays of those shapes,80            or an array of shape (T,n,m), (T,n,m,3), or (T,n,m,4)81            where T is the length of the time axis (assuming ``t_axis=0``).82        :param ax: matplotlib.axes.Axes, optional83            The matplotlib axes to attach the block to.84            Defaults to matplotlib.gca()85        :param t_axis: int, optional86            The axis of the array that represents time. Defaults to 0.87            No effect if images is a list88        This block accepts additional keyword arguments to be passed to89        :meth:`matplotlib.axes.Axes.imshow`90        """91        self.ims = np.asanyarray(images)92        super().__init__(ax, t_axis)93        self._is_list = isinstance(images, list)94        self._dim = len(self.ims.shape)95        slice_c = self._make_slice(0, self._dim)96        self.im = self.ax.imshow(self.ims[slice_c], **kwargs)97    def _update(self, i):98        slice_c = self._make_slice(i, self._dim)99        self.im.set_array(self.ims[slice_c])100        return self.im101    def __len__(self):102        if self._is_list:103            return self.ims.shape[0]...

restapi.py

Source:restapi.py

1# Copyright 2020 ACSONE SA/NV2# License LGPL-3.0 or later (http://www.gnu.org/licenses/lgpl).3import marshmallow4from apispec.ext.marshmallow.openapi import OpenAPIConverter5from marshmallow.exceptions import ValidationError6from odoo import _7from odoo.exceptions import UserError8from odoo.addons.base_rest import restapi9class Datamodel(restapi.RestMethodParam):10    def __init__(self, name, is_list=False, partial=None):11        """12        :param name: The datamodel name13        :param is_list: Should be set to True if params is a collection so that14                        the object will be de/serialized from/to a list15        :param partial: Whether to ignore missing fields and not require16            any fields declared. Propagates down to ``Nested`` fields as well. If17            its value is an iterable, only missing fields listed in that iterable18            will be ignored. Use dot delimiters to specify nested fields.19        """20        self._name = name21        self._is_list = is_list22        self._partial = partial23    def from_params(self, service, params):24        ModelClass = service.env.datamodels[self._name]25        try:26            return ModelClass.load(27                params,28                many=self._is_list,29                unknown=marshmallow.EXCLUDE,30                partial=self._partial,31            )32        except ValidationError as ve:33            raise UserError(_("BadRequest %s") % ve.messages)34    def to_response(self, service, result):35        ModelClass = service.env.datamodels[self._name]36        if self._is_list:37            json = [i.dump() for i in result]38        else:39            json = result.dump()40        errors = ModelClass.validate(41            json, many=self._is_list, unknown=marshmallow.EXCLUDE42        )43        if errors:44            raise SystemError(_("Invalid Response %s") % errors)45        return json46    def to_openapi_query_parameters(self, service):47        converter = self._get_converter()48        schema = self._get_schema(service)49        return converter.schema2parameters(schema, location="query")50    # TODO, we should probably get the spec as parameters. That should51    # allows to add the definition of a schema only once into the specs52    # and use a reference to the schema into the parameters53    def to_openapi_requestbody(self, service):54        return {55            "content": {56                "application/json": {"schema": self.to_json_schema(service, "input")}57            }58        }59    def to_openapi_responses(self, service):60        return {61            "200": {62                "content": {63                    "application/json": {64                        "schema": self.to_json_schema(service, "output")65                    }66                }67            }68        }69    def to_json_schema(self, service, direction):70        converter = self._get_converter()71        schema = self._get_schema(service)72        return converter.resolve_nested_schema(schema)73    def _get_schema(self, service):74        return service.env.datamodels[self._name].get_schema(many=self._is_list)75    def _get_converter(self):76        return OpenAPIConverter("3.0", self._schema_name_resolver, None)77    def _schema_name_resolver(self, schema):78        # name resolver used by the OpenapiConverter. always return None79        # to force nested schema definition80        return None...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.