How to use _is_in_task method in avocado

Best Python code snippet using avocado_python Github


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...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 ]...

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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 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 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 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 + 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 + self._ext, 'rb') as f:88 print("DataSerializerPacgkage: load begin...")89 datas = json.loads(lzma.decompress(, 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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