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aarch64
Describe the bug Importing bottleneck fails with error (likely due to numpy version 2.*)
To Reproduce To assist in reproducing the bug, please include the following:
pip install -U bottleneck
import bottleneck
pip list
conda list
Package Version ------------------------- ---------------- aenum 3.1.15 aiohappyeyeballs 2.4.0 aiohttp 3.10.5 aiosignal 1.3.1 altair 5.4.1 amaranth 0.5.2 annotated-types 0.7.0 antlr4-python3-runtime 4.10 anyio 4.4.0 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0 arrow 1.3.0 asttokens 2.4.1 async-lru 2.0.4 async-timeout 4.0.3 attrs 24.2.0 babel 2.16.0 beautifulsoup4 4.12.3 bleach 6.1.0 blinker 1.8.2 Bottleneck 1.4.0 braceexpand 0.1.7 cace 2.4.14 cachetools 5.5.0 certifi 2020.6.20 cffi 1.17.1 chardet 4.0.0 charset-normalizer 3.3.2 click 8.1.7 cloup 3.0.5 cmd2 2.4.3 cocotb 1.9.1 colorama 0.4.6 comm 0.2.2 contourpy 1.3.0 control 0.10.1 coverage 7.6.1 cryptography 43.0.1 cvxopt 1.2.7 cycler 0.12.1 dbus-python 1.2.18 debtcollector 2.3.0 debugpy 1.8.5 decorator 5.1.1 defusedxml 0.7.1 Deprecated 1.2.14 devscripts 2.22.1ubuntu1 distlib 0.3.4 distro 1.9.0 docker 7.1.0 docopt 0.6.2 docutils 0.17.1 edalize 0.5.4 exceptiongroup 1.2.2 executing 2.1.0 fasteners 0.19 fastjsonschema 2.20.0 filelock 3.6.0 find_libpython 0.4.0 fonttools 4.53.1 fqdn 1.5.1 freetype-py 2.5.1 frozenlist 1.4.1 fsspec 2024.9.0 fusesoc 2.3 gdsfactory 8.8.2 gdspy 1.6.13 gitdb 4.0.11 GitPython 3.1.43 gobject 0.1.0 gpg 1.16.0 graphviz 0.20.3 greenlet 3.0.3 h11 0.14.0 httpcore 1.0.5 httplib2 0.20.2 httpx 0.27.2 idna 3.3 imageio 2.35.1 importlib-metadata 4.6.4 inform 1.31 ioplace_parser 0.3.0 ipyevents 2.0.2 ipykernel 6.29.5 ipympl 0.9.4 ipython 8.27.0 ipython-genutils 0.2.0 ipytree 0.2.2 ipywidgets 8.1.5 iso8601 2.1.0 isodate 0.6.1 isoduration 20.11.0 jedi 0.19.1 jeepney 0.7.1 Jinja2 3.1.4 joblib 1.4.2 jschon 0.11.1 json5 0.9.25 jsonpointer 3.0.0 jsonschema 4.23.0 jsonschema-specifications 2023.12.1 jsonschema2md 1.3.0 jupyter 1.1.1 jupyter_client 8.6.2 jupyter_collaboration 2.1.2 jupyter-console 6.6.3 jupyter_core 5.7.2 jupyter-events 0.10.0 jupyter-lsp 2.2.5 jupyter_server 2.14.2 jupyter_server_fileid 0.9.3 jupyter_server_terminals 0.5.3 jupyter-ydoc 2.1.1 jupyterlab 4.2.5 jupyterlab-night 0.4.6 jupyterlab_pygments 0.3.0 jupyterlab_server 2.27.3 jupyterlab_widgets 3.0.13 jwcrypto 1.0 keyring 23.5.0 kfactory 0.19.2 kiwisolver 1.4.7 klayout 0.29.6 lambdapdk 0.1.31 latex2mathml 3.77.0 launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6 lazy_loader 0.4 libparse 0.3.1 linecache2 1.0.0 loguru 0.7.2 lxml 5.3.0 Mako 1.1.3 mapbox_earcut 1.0.2 Markdown 3.3.6 markdown-it-py 3.0.0 MarkupSafe 2.0.1 matplotlib 3.9.2 matplotlib-inline 0.1.7 maturin 1.7.1 mdurl 0.1.2 meld 3.20.4 meson 1.5.1 mistune 3.0.2 monotonic 1.6 more-itertools 8.10.0 mpi4py 4.0.0 msgpack 1.0.3 multidict 6.0.5 narwhals 1.6.2 nbclient 0.10.0 nbconvert 7.16.4 nbformat 5.10.4 nest-asyncio 1.6.0 netaddr 0.8.0 netifaces 0.11.0 networkx 3.3 ngspyce 0.1 ninja 1.11.1.1 notebook 7.2.2 notebook_shim 0.2.4 numexpr 2.10.1 numpy 2.1.1 oauthlib 3.2.0 okonomiyaki 2.0.0 olefile 0.46 openlane 2.1.3 openram 1.2.48 orderedmultidict 1.0.1 orjson 3.10.7 oslo.config 8.8.0 oslo.context 4.1.0 oslo.i18n 5.1.0 oslo.log 4.6.1 oslo.serialization 4.2.0 oslo.utils 4.12.2 overrides 7.7.0 packaging 23.2 panda 0.3.1 pandas 2.2.2 pandocfilters 1.5.1 parso 0.8.4 pathspec 0.12.1 pbr 5.8.0 pcpp 1.30 pexpect 4.9.0 pillow 10.4.0 pip 24.2 pipdeptree 2.23.1 platformdirs 2.5.1 ply 3.11 PrettyPrintTree 2.0.1 prettytable 3.11.0 prometheus_client 0.20.0 prompt_toolkit 3.0.47 protobuf 5.28.0 psf-utils 1.3.0 psutil 6.0.0 ptyprocess 0.7.0 pure_eval 0.2.3 pyarrow 17.0.0 pybind11 2.13.5 pycairo 1.20.1 pycparser 2.22 pycrdt 0.9.11 pycrdt-websocket 0.14.2 pydantic 2.8.2 pydantic_core 2.20.1 pydantic-extra-types 2.9.0 pydantic-settings 2.4.0 pydeck 0.9.1 PyGithub 2.4.0 Pygments 2.18.0 pygmid 1.2.12 PyGObject 3.42.1 pyinotify 0.9.6 PyJWT 2.9.0 PyNaCl 1.5.0 PyOPUS 0.11 pyparsing 3.1.4 pyperclip 1.9.0 pypng 0.20220715.0 PyQt5 5.15.6 PyQt5-sip 12.9.1 pyqtgraph 0.13.7 pyrtl 0.11.2 PySpice 1.5 python-apt 2.4.0+ubuntu3 python-dateutil 2.9.0.post0 python-debian 0.1.43+ubuntu1.1 python-dotenv 1.0.1 python-json-logger 2.0.7 python-magic 0.4.24 python-novnc 1.0.0 python-subunit 1.4.4 pytz 2024.1 pyuvm 3.0.0 pyvcd 0.4.0 pyverilog 1.3.0 pyxdg 0.27 PyYAML 6.0.2 pyzmq 26.2.0 qrcode 7.4.2 quantiphy 2.20 rapidfuzz 3.9.7 rdflib 7.0.0 rectangle-packer 2.0.2 rectpack 0.2.2 referencing 0.35.1 requests 2.32.3 rfc3339-validator 0.1.4 rfc3986 2.0.0 rfc3986-validator 0.1.1 rich 13.8.0 roman 3.3 rpds-py 0.20.0 ruamel.yaml 0.18.6 ruamel.yaml.clib 0.2.8 sc-surelog 1.84.1 schemdraw 0.19 scikit-build 0.18.1 scikit-image 0.24.0 scikit-learn 1.5.1 scikit-rf 1.2.0 scipy 1.14.1 SecretStorage 3.3.1 semantic-version 2.8.5 Send2Trash 1.8.3 setuptools 59.6.0 setuptools-rust 1.2.0 shapely 2.0.6 shellingham 1.5.4 shlib 1.6 siliconcompiler 0.27.1 simanneal 0.5.0 simplesat 0.8.0 six 1.16.0 smmap 5.0.1 sniffio 1.3.1 soupsieve 2.6 spyci 1.0.2 sqlite-anyio 0.2.3 stack-data 0.6.3 stevedore 3.5.0 streamlit 1.37.1 streamlit-agraph 0.0.45 streamlit-javascript 0.1.5 streamlit-tree-select 0.0.5 svgutils 0.3.4 systemd-python 234 tabulate 0.9.0 tenacity 8.5.0 terminado 0.18.1 testtools 2.7.2 threadpoolctl 3.5.0 tifffile 2024.8.30 tinycss2 1.3.0 toml 0.10.2 tomli 2.0.1 toolz 0.12.1 torch_geometric 2.5.3 tornado 6.4.1 tqdm 4.66.5 traceback2 1.4.0 traitlets 5.14.3 trimesh 4.4.9 typer 0.12.5 types-python-dateutil 2.9.0.20240906 types-PyYAML 6.0.12.20240808 typing_extensions 4.12.2 tzdata 2024.1 unidiff 0.5.5 unittest2 1.1.0 uri-template 1.3.0 urllib3 1.26.5 virtualenv 20.13.0+ds volare 0.19.1 wadllib 1.3.6 watchdog 4.0.2 wcwidth 0.2.13 webcolors 24.8.0 webencodings 0.5.1 websocket-client 1.8.0 websockify 0.10.0 wheel 0.37.1 widgetsnbextension 4.0.13 wrapt 1.16.0 xdg 5 xdot 1.2 yarl 1.10.0 ziafont 0.9 ziamath 0.11 zipp 1.0.0 zstandard 0.23.0
Expected behavior No error/warning.
Additional context My guess this is due to numpy version.
The text was updated successfully, but these errors were encountered:
Hello, related issue: #394
We don't have support for ARM at this moment... Happy to accept MRs tho :)
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Describe the bug
Importing bottleneck fails with error (likely due to numpy version 2.*)
To Reproduce
To assist in reproducing the bug, please include the following:
pip install -U bottleneck
then inside pythonimport bottleneck
pip list
orconda list
Expected behavior
No error/warning.
Additional context
My guess this is due to numpy version.
The text was updated successfully, but these errors were encountered: