In addition to simple builtins likeintandfloat, you can supply your own function to thetypeparameter to vet the incoming values. defmust_be_exactly_ten(value):number=int(value)ifnumber==10:returnnumberelse:raise
In addition to simple builtins likeintandfloat, you can supply your own function to thetypeparameter to vet the incoming values. defmust_be_exactly_ten(value):number=int(value)ifnumber==10:returnnumberelse:raiseTypeError("Hey! you need to provide exactly the number 10!")defmain():parser=...
parts=lines.map(lambdarow:row.value.split("::"))ratingsRDD=parts.map(lambdap:Row(userId=int(p[0]),movieId=int(p[1]),rating=float(p[2]),timestamp=int(p[3])))ratings=spark.createDataFrame(ratingsRDD)(training,test)=ratings.randomSplit([0.8,0.2])# Build the recommendation mod...
"""Wraps an arbitrary object with __len__ and __getitem__ into a pytorch dataset""" def __init__(self, dataset): self.data = dataset def __len__(self): return len(self.data) def __getitem__(self, idx): return self.data[idx] class DataModuleFromConfig(pl.LightningDa...
is_in_a_ring_enc =[int(atom.IsInRing())] is_aromatic_enc =[int(atom.GetIsAromatic())] atomic_mass_scaled =[float((atom.GetMass()-10.812)/116.092)] vdw_radius_scaled =[float((Chem.GetPeriodicTable().GetRvdw(atom.GetAtomicNum())-1.5)/0.6)] ...
Python的基本数据类型均实现了对应输入控件。同时,对基本类型进行了扩展,提供了丰富的语义类型,方便用户输入日期、时间、颜色、文件路径等特殊对象。实现了通用对象输入控件,支持输入Json对象和任意Python字面量对象(包括int、float、bool、str、bytes、list、tuple、set、dict)。
python models/transformers_pytorch/bert.py --batch_size 8 would simply run BERT with a batch size of 8 in PyTorch on your CPU. The standardized set of arguments is: General args "batch_size": Arg("batch_size", default=1, type=int), ...
parser.add_argument('--threshold', type=float) parser.add_argument('--bidir', dest='bidir', action='store_true') parser.add_argument('--no-bidir', dest='bidir', action='store_false') parser.add_argument('--hops', type=int, default=3) parser.add_argument('--perturbation_in', type...
add_argument('--some-number', type=float) In addition to simple builtins like int and float, you can supply your own function to the type parameter to vet the incoming values. def must_be_exactly_ten(value): number = int(value) if number == 10: return number else: raise TypeError(...
add_argument('--some-number', type=float) In addition to simple builtins like int and float, you can supply your own function to the type parameter to vet the incoming values. def must_be_exactly_ten(value): number = int(value) if number == 10: return number else: raise TypeError(...