Melvyn
2020-11-29 05:39:58
在从外部来源创建模型实例时，必须注意验证输入或具有其他保证，即此数据不会违反约束。
当不至少full_clean()在模型上调用，而是直接调用时save，将绕过Django的验证器，并且只会由数据库驱动程序发出有关该问题的警报，这时很难获取诊断信息：
class JsonImportManager(models.Manager):
def import(self, json_string: str) -> int:
data_list = json.loads(json_string) # list of objects => list of dicts
failed = 0
for data in data_list:
obj = self.model(**data)
try:
obj.full_clean()
except ValidationError as e:
print(e.message_dict) # or use better formatting function
failed += 1
else:
obj.save()
return failed
这当然很简单，但是这是一个很好的入门模板。
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)