"Not Subscriptable" Error in a very simple wrapper for numpy.float64 that simply converts it to float:

[deego]

"Not Subscriptable" Error in a very simple wrapper for numpy.float64 that simply converts it to float:

Hi there,

All I am doing is this:

@registry.loader('np_float64_mine', version=1) def _load_np_float64(obj, version, **kwargs): return np.float64(obj)

But, I get this strange error.

resolvers = self.yaml._implicit_resolvers.get(value[0],[]) TypeError: 'float' object is not subscriptable

Things work great for many more complex things, like np.ndarray, etc. But, for some reason, it's trying to take the length of singletons(?) like np.float64.

If I am doing something stupid, I apologizie, and would appreciate if you'd point me in the right direction.

Below, for reference, is a full MRE of the error.

---

import camel

try: import numpy as np _have_numpy = True except Exception: have_numpy = False warnings.warn("Numpy not found. Won't provide numpy-related methods.")

from camel import Camel, CamelRegistry registry = CamelRegistry()

if _have_numpy:

## THIS DUMP IS WHERE THE ERROR LIES. 
@registry.dumper(np.float64, 'np_float64_mine', version=1)
def _dump_np_float64(obj, **kwargs):
    return float(obj)

@registry.loader('np_float64_mine', version=1)
def _load_np_float64(obj, version, **kwargs):
    return np.float64(obj)


## everything else, works great, example, this - 
@registry.dumper(np.ndarray, 'np_ndarray_mine', version=1)
def _dump_np_ndarray(obj, **kwargs):
    return([ str(obj.dtype), obj.tolist() ] )

@registry.loader('np_ndarray_mine', version=1)
def _load_np_ndarray(obj, version, **kwargs):
    (strdtype, obj)=obj
    return np.asarray(obj, dtype=strdtype)

def _test(item): print("ORIGINAL ITEM and its type:") print(item) print(f"{type(item)=}") dumped = dumps(item) print("DUMPED ITEM:") print(dumped) print("original item followed by LOAD OF DUMPED ITEM:") print(item) print(loads(dumped)) print("=================================================================================================")

def _tests(): _test(np.float64(345)

[deego]

Update: ​A float64 object by itself dumps just fine. But, if you try to dump [1, np.float64(33)], that's when we get that error.