[BUG] None item bug when listing packages in utils _dependencies.py

[lohraspco]

Describe the bug

19 package_names = {dist.metadata["Name"] for dist in dists}

 20 package_versions = {pkg_name: version(pkg_name) for pkg_name in package_names}
 21 # developer note:
 22 # we cannot just use distributions naively,
 23 # because the same top level package name may appear *twice*,

(...) 26 # the "version" contract ensures we always get the version that corresponds
27 # to the importable distribution, i.e., the top one in the sys.path.

TypeError: 'NoneType' object is not subscriptable
-->

To Reproduce

Versions

[fkiraly]

Under which conditions does this error occur?

[lohraspco]

It is because dists (dists = distributions()) has an item for which metadata attribute is None and it generates the following error. Let me know if more information needed.

TypeError Traceback (most recent call last)
Cell In[2], line 1
----> 1 from pytorch_forecasting import Baseline, TemporalFusionTransformer, TimeSeriesDataSet
2 from pytorch_forecasting.data import GroupNormalizer
3 from pytorch_forecasting.metrics import MAE, SMAPE, PoissonLoss, QuantileLoss

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting_init_.py:34
7 from pytorch_forecasting.data import (
8 EncoderNormalizer,
9 GroupNormalizer,
(...) 12 TimeSeriesDataSet,
13 )
14 from pytorch_forecasting.metrics import (
15 MAE,
16 MAPE,
(...) 32 QuantileLoss,
33 )
---> 34 from pytorch_forecasting.models import (
35 GRU,
36 LSTM,
37 AutoRegressiveBaseModel,
38 AutoRegressiveBaseModelWithCovariates,
39 Baseline,
40 BaseModel,
41 BaseModelWithCovariates,
42 DecoderMLP,
43 DeepAR,
44 MultiEmbedding,
45 NBeats,
46 NHiTS,
47 RecurrentNetwork,
48 TemporalFusionTransformer,
49 TiDEModel,
50 get_rnn,
51 )
52 from pytorch_forecasting.utils import (
53 apply_to_list,
54 autocorrelation,
(...) 63 unpack_sequence,
64 )
65 from pytorch_forecasting.utils._maint._show_versions import show_versions

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\models_init_.py:5
1 """
2 Models for timeseries forecasting.
3 """
----> 5 from pytorch_forecasting.models.base import (
6 AutoRegressiveBaseModel,
7 AutoRegressiveBaseModelWithCovariates,
8 BaseModel,
9 BaseModelWithCovariates,
10 )
11 from pytorch_forecasting.models.baseline import Baseline
12 from pytorch_forecasting.models.deepar import DeepAR

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\models\base_init_.py:10
1 """Base classes for pytorch-foercasting models."""
3 from pytorch_forecasting.models.base._base_model import (
4 AutoRegressiveBaseModel,
5 AutoRegressiveBaseModelWithCovariates,
(...) 8 Prediction,
9 )
---> 10 from pytorch_forecasting.models.base._base_object import (
11 _BaseObject,
12 _BasePtForecaster,
13 )
15 all = [
16 "_BaseObject",
17 "_BasePtForecaster",
(...) 22 "Prediction",
23 ]

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\models\base_base_object.py:7
3 import inspect
5 from pytorch_forecasting.utils._dependencies import _safe_import
----> 7 _SkbaseBaseObject = _safe_import("skbase.base.BaseObject", pkg_name="scikit-base")
10 class _BaseObject(_SkbaseBaseObject):
11 pass

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\utils_dependencies_safe_import.py:82, in _safe_import(import_path, pkg_name)
79 pkg_name = path_list[0]
80 obj_name = path_list[-1]
---> 82 if pkg_name in _get_installed_packages():
83 try:
84 if len(path_list) == 1:

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\utils_dependencies_dependencies.py:40, in _get_installed_packages()
31 def _get_installed_packages():
32 """Get a dictionary of installed packages and their versions.
33
34 Returns
(...) 38 MAJOR.MINOR.PATCH version format is used for versions, e.g., "1.2.3"
39 """
---> 40 return _get_installed_packages_private().copy()

File c:\ProgramData\anaconda3\envs\finetune\Lib\site-packages\pytorch_forecasting\utils_dependencies_dependencies.py:19, in _get_installed_packages_private()
16 from importlib.metadata import distributions, version
18 dists = distributions()
---> 19 package_names = {dist.metadata["Name"] for dist in dists}
20 package_versions = {pkg_name: version(pkg_name) for pkg_name in package_names}
21 # developer note:
22 # we cannot just use distributions naively,
23 # because the same top level package name may appear twice,
(...) 26 # the "version" contract ensures we always get the version that corresponds
27 # to the importable distribution, i.e., the top one in the sys.path.

TypeError: 'NoneType' object is not subscriptable

[fkiraly]

It is because dists (dists = distributions()) has an item for which metadata attribute is None and it generates the following error.

That is curious, can you print out your pip freeze?

From my understanding, it means you have a python package without a name installed. How can this happen, is this a corrupted environment? Or is there something else I am missing?

[fkiraly]

(fixed in skbase. Comment appreciated on why this is happening, see above
sktime/skbase#433)

[lohraspco]

It is confusing to me as well! It can be because of a corrupt environment.
@fkiraly Here is the output of pip freeze package_list.txt

[fkiraly]

Copy-pasting this here

absl-py==2.3.0
accelerate==1.9.0
aiobotocore==2.13.3
aiohappyeyeballs==2.6.1
aiohttp==3.12.13
aioitertools==0.12.0
aiosignal==1.3.2
alembic==1.16.2
alpha-vantage==2.3.1
altair==5.5.0
annotated-types==0.7.0
anthropic==0.57.1
anyio==4.9.0
appdirs==1.4.4
arch==6.3.0
argcomplete==3.6.2
argon2-cffi==25.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
arviz==0.21.0
asttokens==3.0.0
astunparse==1.6.3
async-lru==2.0.5
asyncer==0.0.8
attrs==25.3.0
audioread==3.0.1
Automat==25.4.16
autopep8==2.3.2
azure-core==1.34.0
azure-storage-blob==12.19.0
babel==2.17.0
backoff==2.2.1
bcrypt==4.3.0
beautifulsoup4==4.13.4
bitsandbytes==0.46.1
black==25.1.0
bleach==6.2.0
blinker==1.9.0
blis==0.7.11
bokeh==3.7.3
boto3==1.39.8
botocore==1.39.8
branca==0.8.1
cachetools==5.5.2
catalogue==2.0.10
certifi==2025.6.15
cffi==1.17.1
cftime==1.6.4.post1
charset-normalizer==3.4.2
clarabel==0.11.1
click==8.2.1
click-plugins==1.1.1.2
cligj==0.7.2
cloudpathlib==0.16.0
cloudpickle==3.1.1
cmdstanpy==1.2.5
cohere==5.16.1
colorama==0.4.6
colorcet==3.1.0
colorlog==6.9.0
comm==0.2.2
confection==0.1.5
cons==0.4.6
constantly==23.10.4
contourpy==1.3.2
coverage==7.9.1
cryptography==45.0.4
cssselect==1.3.0
cuda-bindings==12.9.0
cuda-python==12.9.0
cvxpy==1.4.2
cycler==0.12.1
cymem==2.0.11
dash==3.1.0
dask==2025.5.1
databricks-sdk==0.57.0
dataclasses-json==0.6.7
datasets==4.0.0
debugpy==1.8.14
decorator==5.2.1
defusedxml==0.7.1
dill==0.3.8
diskcache==5.6.3
distro==1.9.0
dnspython==2.7.0
docker==7.1.0
docker-pycreds==0.4.0
docstring_parser==0.16
dspy==2.6.27
ecos==2.0.14
einops==0.8.1
eli5==0.15.0
et_xmlfile==2.0.0
etuples==0.3.9
eval_type_backport==0.2.2
evaluate==0.4.5
executing==2.2.0
faiss-cpu==1.11.0.post1
fastapi==0.109.2
fastavro==1.11.1
fastjsonschema==2.21.1
filelock==3.18.0
fiona==1.10.1
flake8==7.3.0
Flask==3.1.1
flatbuffers==24.3.25
folium==0.15.1
fonttools==4.58.4
fqdn==1.5.1
frozendict==2.4.6
frozenlist==1.7.0
fsspec==2025.3.0
future==1.0.0
gast==0.4.0
gensim==4.3.2
geographiclib==2.0
geopandas==0.14.3
geopy==2.4.1
gitdb==4.0.12
GitPython==3.1.44
google-ai-generativelanguage==0.6.15
google-api-core==2.25.1
google-api-python-client==2.174.0
google-auth==2.40.3
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.2
google-cloud-aiplatform==1.71.1
google-cloud-bigquery==3.34.0
google-cloud-core==2.4.3
google-cloud-resource-manager==1.14.2
google-cloud-storage==2.14.0
google-crc32c==1.7.1
google-genai==1.26.0
google-generativeai==0.8.5
google-pasta==0.2.0
google-resumable-media==2.7.2
googleapis-common-protos==1.70.0
grandalf==0.8
graphene==3.4.3
graphql-core==3.2.6
graphql-relay==3.2.0
graphviz==0.21
greenlet==3.2.3
griffe==1.7.3
groq==0.30.0
grpc-google-iam-v1==0.14.2
grpcio==1.73.1
grpcio-status==1.62.3
h11==0.16.0
h5netcdf==1.6.2
h5py==3.14.0
holidays==0.75
holoviews==1.21.0
html5lib==1.1
httpcore==1.0.9
httplib2==0.22.0
httpx==0.28.1
httpx-sse==0.4.0
huggingface-hub==0.33.4
hvplot==0.11.3
hyperlink==21.0.0
hyperopt==0.2.7
idna==3.10
imageio==2.37.0
importlib_metadata==8.7.0
importlib_resources==6.5.2
incremental==24.7.2
inflection==0.5.1
iniconfig==2.1.0
ipykernel==6.29.5
ipython==9.3.0
ipython_pygments_lexers==1.1.1
ipywidgets==8.1.7
isodate==0.7.2
isoduration==20.11.0
isort==6.0.1
itemadapter==0.11.0
itemloaders==1.3.2
itsdangerous==2.2.0
jedi==0.19.2
Jinja2==3.1.6
jiter==0.10.0
jmespath==1.0.1
joblib==1.5.1
json5==0.12.0
json_repair==0.47.4
jsonpatch==1.33
jsonpickle==4.1.1
jsonpointer==3.0.0
jsonschema==4.24.0
jsonschema-specifications==2025.4.1
jupyter==1.1.1
jupyter-console==6.6.3
jupyter-events==0.12.0
jupyter-lsp==2.2.5
jupyter_client==8.6.3
jupyter_core==5.8.1
jupyter_server==2.16.0
jupyter_server_terminals==0.5.3
jupyterlab==4.4.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.15
keras==3.10.0
kiwisolver==1.4.8
langchain==0.3.26
langchain-community==0.3.26
langchain-core==0.3.69
langchain-huggingface==0.3.0
langchain-ollama==0.3.4
langchain-openai==0.3.26
langchain-text-splitters==0.3.8
langcodes==3.5.0
langsmith==0.4.2
language_data==1.3.0
lazy_loader==0.4
libclang==16.0.6
librosa==0.10.1
lightgbm==4.3.0
lightning==2.5.2
lightning-utilities==0.14.3
lime==0.2.0.1
linkify-it-py==2.0.3
litellm==1.73.2
llvmlite==0.44.0
locket==1.0.0
logfire-api==3.24.2
logical-unification==0.4.6
lxml==6.0.0
magicattr==0.1.6
Mako==1.3.10
marisa-trie==1.2.1
Markdown==3.8.2
markdown-it-py==3.0.0
MarkupSafe==3.0.2
marshmallow==3.26.1
matplotlib==3.10.3
matplotlib-inline==0.1.7
mccabe==0.7.0
mcp==1.12.0
mdit-py-plugins==0.4.2
mdurl==0.1.2
miniKanren==1.0.5
mistralai==1.9.2
mistune==3.1.3
ml_dtypes==0.5.1
mlflow==3.1.1
mlflow-skinny==3.1.1
more-itertools==10.7.0
mpmath==1.3.0
msgpack==1.1.1
multidict==6.5.1
multipledispatch==1.0.0
multiprocess==0.70.16
multitasking==0.0.11
murmurhash==1.0.13
mypy==1.16.1
mypy_extensions==1.1.0
namex==0.1.0
narwhals==1.44.0
nbclient==0.10.2
nbconvert==7.16.6
nbformat==5.10.4
nest-asyncio==1.6.0
netCDF4==1.6.5
netgraph==4.13.2
networkx==3.5
nltk==3.8.1
notebook==7.4.3
notebook_shim==0.2.4
numba==0.61.2
numpy==1.26.4
nvidia-ml-py3==7.352.0
oauthlib==3.3.1
ollama==0.5.1
openai==1.92.2
openai-whisper==20250625
opencv-python==4.9.0.80
openpyxl==3.1.2
opentelemetry-api==1.34.1
opentelemetry-sdk==1.34.1
opentelemetry-semantic-conventions==0.55b1
opt_einsum==3.4.0
optree==0.16.0
optuna==4.4.0
orjson==3.10.18
osqp==1.0.4
outcome==1.3.0.post0
overrides==7.7.0
packaging==24.2
pandas==2.3.0
pandocfilters==1.5.1
panel==1.7.1
param==2.2.1
parquet==1.0
parsel==1.10.0
parso==0.8.4
partd==1.4.2
passlib==1.7.4
pathlib2==2.3.7
pathspec==0.12.1
patsy==1.0.1
peewee==3.18.1
peft==0.16.0
pillow==11.3.0
platformdirs==4.3.8
plotly==6.2.0
pluggy==1.6.0
pooch==1.8.2
preshed==3.0.10
prometheus_client==0.22.1
prompt_toolkit==3.0.51
propcache==0.3.2
prophet==1.1.5
Protego==0.5.0
proto-plus==1.26.1
protobuf==4.25.8
psutil==7.0.0
psycopg2-binary==2.9.9
PuLP==2.7.0
pure_eval==0.2.3
py4j==0.10.9.9
pyarrow==20.0.0
pyasn1==0.6.1
pyasn1_modules==0.4.2
pybind11==2.13.6
pycodestyle==2.14.0
pycparser==2.22
pydantic==2.11.7
pydantic-ai==0.4.3
pydantic-ai-slim==0.4.3
pydantic-evals==0.4.3
pydantic-graph==0.4.3
pydantic-settings==2.10.1
pydantic_core==2.33.2
pydeck==0.9.1
PyDispatcher==2.0.7
pydot==4.0.1
pyflakes==3.4.0
Pygments==2.19.2
pymc==5.23.0
pymongo==4.6.1
pyodbc==5.2.0
pyOpenSSL==25.1.0
pyparsing==3.2.3
pyproj==3.6.1
PySocks==1.7.1
pytensor==2.31.4
pytest==8.4.1
pytest-cov==4.1.0
python-dateutil==2.8.2
python-dotenv==1.1.1
python-json-logger==3.3.0
python-multipart==0.0.9
pytorch-forecasting==1.4.0
pytorch-lightning==2.5.2
pytorch_optimizer==3.6.1
pytz==2025.2
pyvis==0.3.2
pyviz_comms==3.0.6
pywin32==310
pywinpty==2.0.15
PyYAML==6.0.2
pyzmq==27.0.0
Quandl==3.7.0
queuelib==1.8.0
rectangle-packer==2.0.4
referencing==0.36.2
regex==2024.11.6
requests==2.32.4
requests-file==2.1.0
requests-oauthlib==2.0.0
requests-toolbelt==1.0.0
retrying==1.4.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==14.0.0
rouge_score==0.1.2
rpds-py==0.25.1
rsa==4.9.1
s3fs==2025.5.1
s3transfer==0.13.0
safetensors==0.5.3
scikit-image==0.25.2
scikit-learn==1.7.0
scipy==1.16.0
Scrapy==2.13.2
scs==3.2.7.post2
seaborn==0.13.2
selenium==4.17.2
Send2Trash==1.8.3
sentry-sdk==2.32.0
service-identity==24.2.0
setproctitle==1.3.6
setuptools==78.1.1
shap==0.48.0
shapely==2.1.1
six==1.17.0
slicer==0.0.8
smart-open==6.4.0
smmap==5.0.2
sniffio==1.3.1
sortedcontainers==2.4.0
soundfile==0.13.1
soupsieve==2.7
soxr==0.5.0.post1
spacy==3.7.4
spacy-legacy==3.0.12
spacy-loggers==1.0.5
SQLAlchemy==2.0.41
sqlparse==0.5.3
srsly==2.5.1
sse-starlette==2.4.1
stack-data==0.6.3
stanio==0.5.1
starlette==0.36.3
statsmodels==0.14.4
streamlit==1.46.1
structlog==24.1.0
sympy==1.13.3
tabulate==0.9.0
tenacity==8.5.0
tensorboard==2.19.0
tensorboard-data-server==0.7.2
tensorflow==2.19.0
termcolor==2.3.0
terminado==0.18.1
textblob==0.17.1
tf_keras==2.19.0
thinc==8.2.5
threadpoolctl==3.6.0
thrift==0.22.0
tifffile==2025.6.11
tiktoken==0.9.0
tinycss2==1.4.0
tldextract==5.3.0
tokenizers==0.21.2
toml==0.10.2
toolz==1.0.0
torch==2.7.1+cu126
torchaudio==2.7.1+cu126
torchmetrics==1.7.4
torchvision==0.22.1+cu126
tornado==6.5.1
tqdm==4.67.1
traitlets==5.14.3
transformers==4.53.2
trio==0.30.0
trio-websocket==0.12.2
trl==0.19.1
Twisted==25.5.0
typer==0.9.4
types-python-dateutil==2.9.0.20250516
types-requests==2.32.4.20250611
typing-inspect==0.9.0
typing-inspection==0.4.1
typing_extensions==4.14.0
tzdata==2025.2
uc-micro-py==1.0.3
ujson==5.10.0
uri-template==1.3.0
uritemplate==4.2.0
urllib3==2.5.0
uvicorn==0.27.1
vertexai==1.71.1
w3lib==2.3.1
waitress==3.0.2
wandb==0.17.0
wasabi==1.1.3
watchdog==6.0.0
wcwidth==0.2.13
weasel==0.3.4
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
websockets==15.0.1
Werkzeug==3.1.3
wheel==0.45.1
whisper==1.1.10
widgetsnbextension==4.0.14
wordcloud==1.9.3
wrapt==1.15.0
wsproto==1.2.0
xarray==2025.6.1
xarray-einstats==0.9.1
xgboost==3.0.2
xlrd==2.0.1
xlwt==1.3.0
xxhash==3.5.0
xyzservices==2025.4.0
yarl==1.20.1
yfinance==0.2.36
zipp==3.23.0
zope.interface==7.2
zstandard==0.23.0

[fkiraly]

nothing springs to the eye (except that there is a lot of stuff in it...)

@lohraspco, could you run the following code and report the outcome?

from importlib.metadata import distributions

dists = distributions()
for dist in dists:
    if dist.metadata is None:
        print(dist.name)