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How to use _is_in_task method in avocado

Best Python code snippet using avocado_python

repo.py

Source:repo.py

...134        return {key: len(value) for key, value in self._by_result.items()}135    def get_task_status(self, task_id):136        return self._status.get(task_id, (None, None))[0]137    @staticmethod138    def _is_in_task(tasks, task_ids):139        """Returns True if any of the tasks is in task_ids."""140        return any([True for task_id in task_ids if task_id in tasks])141    def get_result_set_for_tasks(self, task_ids):142        """Returns a set of results for the given tasks."""143        results = [144            key145            for key, value in self._by_result.items()146            if self._is_in_task(value, task_ids)147        ]...

DataSerializerPackage.py

Source:DataSerializerPackage.py

1import json2import lzma3import os4import threading5import SPMUtil as spmu6class DataSerializerPackage:7    def __init__(self, path, custom_ext=".xzp"):8        self.path = path9        self._ext = custom_ext10        self.dataSerializers = {}11        self.JsonEncoder = spmu.NdarrayEncoder12        self.JsonDecoder = spmu.NdarrayDecoder13        self._is_in_task = False14    @property15    def datas_name_list(self) -> list:16        return list(self.dataSerializers.keys())17    def get_dataSerializer(self, key) -> spmu.DataSerializer:18        if type(key) == bytes:19            key = key.decode()20        if key in self.dataSerializers:21            return self.dataSerializers[key]22        else:23            raise ValueError("Wrong key: " + key)24    def add_data_serializer(self, data_serializer:spmu.DataSerializer, overwrite=False, save=False):25        fileName = os.path.basename(data_serializer.path).split('.')[0]26        if fileName in self.dataSerializers:27            if overwrite:28                self.dataSerializers.pop(fileName)29                self.dataSerializers[fileName] = data_serializer30        else:31            self.dataSerializers[fileName] = data_serializer32        if save:33            self.save()34    def remove_data_serializer(self, data_serializer:spmu.DataSerializer, save=False):35        fileName = os.path.basename(data_serializer.path).split('.')[0]36        if fileName in self.dataSerializers:37            self.dataSerializers.pop(fileName)38        if save:39            self.save()40    def save(self, enable_multi_thread=False):41        if self._is_in_task:42            print("Save Command disposed: this class is running another task")43        if enable_multi_thread:44            self._is_in_task = True45            thread = threading.Thread(target=self._save_task(), args=())46            thread.start()47        else:48            self._save_task()49    def save_from_folder(self, folder_path, file_ext=".pkl", enable_multi_thread=False):50        files = [file for file in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, file))]51        for fileName in files:52            extension = os.path.splitext(fileName)[1]53            if extension == file_ext:54                dataSerializer = spmu.DataSerializer(os.path.join(folder_path, fileName))55                dataSerializer.load()56                self.add_data_serializer(dataSerializer)57        self.save(enable_multi_thread)58    def extract_to_folder(self, folder_path):59        for key in self.dataSerializers.keys():60            self.dataSerializers[key].path = os.path.join(folder_path, self.dataSerializers[key].path)61            self.dataSerializers[key].save()62    def load(self, enable_multi_thread=False):63        if self._is_in_task:64            print("Load Command disposed: this class is running another task")65        if enable_multi_thread:66            self._is_in_task = True67            thread = threading.Thread(target=self._load_task(), args=())68            thread.start()69        else:70            self._load_task()71    def _save_task(self):72        print("DataSerializerPacgkage: save begin...(it will take a lot of time)")73        data_dict = {}74        for it in self.dataSerializers.keys():75            data_dict[it] = self.dataSerializers[it].data_dict76        bytes_data = json.dumps(data_dict, indent=2, cls=self.JsonEncoder).encode('utf-8')77        filename, file_extension = os.path.splitext(self.path)78        with lzma.open(filename + self._ext, "wb") as f:79            f.write(lzma.compress(bytes_data))80            f.flush()81            print("save to", filename + self._ext)82        self._is_in_task = False83    def _load_task(self):84        filename, file_extension = os.path.splitext(self.path)85        if file_extension != self._ext:86            filename = self.path87        with lzma.open(filename + self._ext, 'rb') as f:88            print("DataSerializerPacgkage: load begin...")89            datas = json.loads(lzma.decompress(f.read()), cls=self.JsonDecoder)90            for it in datas.keys():91                dataSerializer = spmu.DataSerializer(path=it)92                dataSerializer.data_dict = datas[it]93                self.add_data_serializer(dataSerializer, overwrite=True)...

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