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The bug occurs when you type np.float32 into np.ndarray and run the json.dumps function.
Even though it has clearly been changed to a list through the to_dict function, an error occurs in json.dumps for some reason.
Add.....
The cause of this bug is that the elements of the numpy array are specified as numpy type. (see code below)
Description
The bug occurs when you type np.float32 into np.ndarray and run the json.dumps function.
Even though it has clearly been changed to a list through the to_dict function, an error occurs in json.dumps for some reason.
Add.....
The cause of this bug is that the elements of the numpy array are specified as numpy type. (see code below)
I think it's a bug in dataclass_json.
Code snippet that reproduces the issue
Describe the results you expected
Note the last line
Python version you are using
3.8
Environment description
black==22.12.0
certifi==2023.7.22
charset-normalizer==3.3.1
click==8.1.7
coverage==7.3.2
dataclasses-json==0.5.9
docstring-parser==0.15
exceptiongroup==1.1.3
falcon==2.0.0
flake8==5.0.4
ghp-import==2.1.0
gitdb==4.0.11
GitPython==3.1.40
hug==2.6.1
hypothesis==6.88.1
idna==3.4
importlib-metadata==6.8.0
iniconfig==2.0.0
Jinja2==3.1.2
livereload==2.6.3
Mako==1.2.4
Markdown==3.5
MarkupSafe==2.1.3
marshmallow==3.20.1
marshmallow-enum==1.5.1
mccabe==0.7.0
mergedeep==1.3.4
mkdocs==1.3.0
mkdocs-material==8.5.4
mkdocs-material-extensions==1.3
mypy==1.6.1
mypy-extensions==1.0.0
numpy==1.24.4
packaging==23.2
pathspec==0.11.2
pdocs==1.2.0
platformdirs==3.11.0
pluggy==1.3.0
portray==1.8.0
pycodestyle==2.9.1
pyflakes==2.5.0
Pygments==2.16.1
pymdown-extensions==10.3.1
pypng==0.0.21
PyQt5==5.15.10
PyQt5-Qt5==5.15.2
PyQt5-sip==12.13.0
pytest==7.4.3
pytest-cov==2.12.1
python-dateutil==2.8.2
PyYAML==6.0.1
pyyaml_env_tag==0.1
requests==2.31.0
scipy==1.10.1
simplejson==3.19.2
six==1.16.0
smmap==5.0.1
sortedcontainers==2.4.0
termcolor==2.3.0
toml==0.10.2
tomli==2.0.1
tornado==6.3.3
typing-inspect==0.9.0
typing_extensions==4.8.0
urllib3==2.0.7
watchdog==3.0.0
yaspin==2.4.0
zipp==3.17.0
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