{'name':'jerry','age': 16}],'total': 2}forminmethods: s=m.dumps(d)print(m.__name__, type(s), len(s), s)#pickle 101#json 72#msgpack 48print('-'* 30) u=msgpack.loads(s)print(type(u), u) u2= msgpack.loads(s, raw=False)#新版,raw=True数据使用bytesprint(type(u2), ...
$ pip install msgpack-python 序列化和反序列化(在 Python 3中) :>>> import msgpack>>> v = msgpack.packb([1, 2, 3], use_bin_type=True)'\x93\x01\x02\x03'>>> msgpack.unpackb(v, raw=False)[1, 2, 3]优点:非常有效率支持流媒体 API缺点:在大多数语言中没有内置支持。难以调试 Proto...
import msgpack # 待发送的商品信息 inventory_update = {'product_id': 1, 'quantity': -1} # 序列化为二进制数据 packed_data = msgpack.packb(inventory_update) # 假设已通过某种网络传输机制发送packed_data到库存服务... # 在库存服务端接收并反序列化数据 received_data = msgpack.unpackb(packed_data...
Distributed 1.21.8需要msgpack,该包未安装 、、、 我继续在Debian 9上使用命令行升级anaconda,收到错误消息"distributed 1.21.0需要msgpack,它没有安装“。然后我尝试了conda install mspack,然后是pip install --upgade plotly,我得到了"distributed 1.22.0需要msgpack,它没有安装“。不知道,还没试过,但从...
>>> import msgpack >>> msgpack.packb([1, 2, 3], use_bin_type=True) '\x93\x01\x02\x03' >>> msgpack.unpackb(_, raw=False) [1, 2, 3]unpack unpacks msgpack's array to Python's list, but can also unpack to tuple:>>> msgpack.unpackb(b'\x93\x01\x02\x03', use_list=...
>>> import msgpack >>> msgpack.packb([1, 2, 3], use_bin_type=True) '\x93\x01\x02\x03' >>> msgpack.unpackb(_, raw=False) [1, 2, 3]unpack unpacks msgpack's array to Python's list, but can also unpack to tuple:>>> msgpack.unpackb(b'\x93\x01\x02\x03', use_list=...
producer.send('my-topic',key=b'foo',value=b'bar')# encode objects via msgpack producer=KafkaProducer(value_serializer=msgpack.dumps)producer.send('msgpack-topic',{'key':'value'})# produce json messages producer=KafkaProducer(value_serializer=lambda m:json.dumps(m).encode('ascii'))producer....
return obj packed_dict = msgpack.packb(useful_dict, default=encode_datetime, use_bin_type=True) this_dict_again = msgpack.unpackb(packed_dict, object_hook=decode_datetime, raw=False) print(packed_dict) print(this_dict_again)
三、python之msgpack模块 3.1、msgpack 类型特征 pip install msgpack msgpack是一种有效的二进制序列化格式。它使您可以在多种语言(如JSON)之间交换数据。但是它更快,更小。
raw_data_dir: [], rest_threshold: 0.1, sampler_frame_count_grid: 6, seed: 114514, sort_by_len: True, task_cls: training.MIDIExtractionTask, test_prefixes: None, train_set_name: train, units_dim: 80, units_encoder: mel, units_encoder_ckpt: pretrained/contentvec/checkpoint_best_legacy_...