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How to use _neo_wda_screenshot method in Airtest

Best Python code snippet using Airtest

ios.py

Source:ios.py

...115            w, h = h, w116        return w, h117    def home(self):118        return self.driver.home()119    def _neo_wda_screenshot(self):120        """121            this is almost same as wda implementation, but without png header check,122            as response data is now jpg format in mid quality123        """124        value = self.driver.http.get('screenshot').value125        raw_value = base64.b64decode(value)126        return raw_value127    def snapshot(self, filename=None, strType=False, ensure_orientation=True):128        """129        take snapshot130        filename: save screenshot to filename131        """132        data = None133        if self.cap_method == CAP_METHOD.MINICAP:134            raise NotImplementedError135        elif self.cap_method == CAP_METHOD.MINICAP_STREAM:136            raise NotImplementedError137        elif self.cap_method == CAP_METHOD.WDACAP:138            data = self._neo_wda_screenshot()  # wda æªå¾ä¸ç¨èèæå139        # å®æ¶å·æ°ææºç»é¢ï¼ç´æ¥è¿åbase64æ ¼å¼ï¼æè½¬é®é¢äº¤ç»IDEå¤ç140        if strType:141            if filename:142                with open(filename, 'wb') as f:143                    f.write(data)144            return data145        # output cv2 object146        try:147            screen = aircv.utils.string_2_img(data)148        except:149            # may be black/locked screen or other reason, print exc for debugging150            traceback.print_exc()151            return None152        h, w = screen.shape[:2]...

iosfuncs.py

Source:iosfuncs.py

...124            raise NotImplementedError125        elif self.cap_method == CAP_METHOD.MINICAP_STREAM:126            raise NotImplementedError127        elif self.cap_method == CAP_METHOD.WDACAP:128            data = self._neo_wda_screenshot()  # wda æªå¾ä¸ç¨èèæå129        if strType:130            if filename:131                with open(filename, 'wb') as f:132                    f.write(data)133            return data134        # output cv2 object135        try:136            screen = string_2_img(data)137        except:138            # may be black/locked screen or other reason, print exc for debugging139            import traceback140            traceback.print_exc()141            return None142        now_orientation = self.orientation143        # ensure the orientation is right144        if ensure_orientation and now_orientation in [LANDSCAPE, LANDSCAPE_RIGHT]:145            # minicap screenshots are different for various sdk_version146            if self.cap_method in (CAP_METHOD.MINICAP, CAP_METHOD.MINICAP_STREAM):147                h, w = screen.shape[:2]  # cvshapeæ¯é«åº¦å¨åé¢!!!!148                if w < h:  # å½åæ¯æ¨ªå±ï¼ä½æ¯å¾çæ¯ç«çï¼åæè½¬ï¼éå¯¹sdk<=16çæºå¨149                    screen = rotate(screen, self.display_info["orientation"] * 90, clockwise=False)150            # wda æªå¾æ¯è¦æ ¹æ®orientationæè½¬151            elif self.cap_method == CAP_METHOD.WDACAP:152                # seems need to rotate in opencv opencv-contrib-python==3.2.0.7153                screen = rotate(screen, 90, clockwise=(now_orientation == LANDSCAPE_RIGHT))154        # readed screen size155        h, w = screen.shape[:2]156        # save last res for portrait157        if now_orientation in [LANDSCAPE, LANDSCAPE_RIGHT]:158            self._size['height'] = w159            self._size['width'] = h160        else:161            self._size['height'] = h162            self._size['width'] = w163        winw, winh = self.window_size()164        self._touch_factor = float(winh) / float(h)165        # save as file if needed166        if filename:167            imwrite(filename, screen)168        return screen169    def _neo_wda_screenshot(self):170        """171            this is almost same as wda implementation, but without png header check,172            as response data is now jpg format in mid quality173        """174        value = self.driver.http.get('screenshot').value175        raw_value = base64.b64decode(value)176        return raw_value177    def _touch_point_by_orientation(self, tuple_xy):178        """179        Convert image coordinates to physical display coordinates, the arbitrary point (origin) is upper left corner180        of the device physical display181        Args:182            tuple_xy: image coordinates (x, y)183        Returns:...

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