using conda created python 3.9
(logai) PS C:\G\logai> python gui/application.py
Traceback (most recent call last):
File "C:\G\logai\gui\application.py", line 16, in <module>
from gui.callbacks import pattern, anomaly_detection, clustering, utils
File "C:\G\logai\gui\callbacks\pattern.py", line 15, in <module>
from logai.applications.application_interfaces import (
File "C:\G\logai\logai\applications\application_interfaces.py", line 11, in <module>
from logai.analysis.nn_anomaly_detector import NNAnomalyDetectionConfig
File "C:\G\logai\logai\analysis\nn_anomaly_detector.py", line 9, in <module>
from logai.algorithms.vectorization_algo.forecast_nn import ForecastNNVectorizedDataset
File "C:\G\logai\logai\algorithms\vectorization_algo\__init__.py", line 8, in <module>
from .fasttext import FastText
File "C:\G\logai\logai\algorithms\vectorization_algo\fasttext.py", line 8, in <module>
import gensim
File "C:\Users\yang.lei\.conda\envs\logai\lib\site-packages\gensim\__init__.py", line 11, in <module>
from gensim import parsing, corpora, matutils, interfaces, models, similarities, utils # noqa:F401
File "C:\Users\yang.lei\.conda\envs\logai\lib\site-packages\gensim\corpora\__init__.py", line 6, in <module>
from .indexedcorpus import IndexedCorpus # noqa:F401 must appear before the other classes
File "C:\Users\yang.lei\.conda\envs\logai\lib\site-packages\gensim\corpora\indexedcorpus.py", line 14, in <module>
from gensim import interfaces, utils
File "C:\Users\yang.lei\.conda\envs\logai\lib\site-packages\gensim\interfaces.py", line 19, in <module>
from gensim import utils, matutils
File "C:\Users\yang.lei\.conda\envs\logai\lib\site-packages\gensim\matutils.py", line 1034, in <module>
from gensim._matutils import logsumexp, mean_absolute_difference, dirichlet_expectation
File "gensim\_matutils.pyx", line 1, in init gensim._matutils
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
(logai) PS C:\G\logai> pip list
Package Version
------------------------- -----------
aiohappyeyeballs 2.4.4
aiohttp 3.11.11
aiosignal 1.3.2
annotated-types 0.7.0
async-timeout 5.0.1
attrs 24.3.0
blinker 1.9.0
blis 1.1.0
Brotli 1.1.0
cachetools 5.5.0
catalogue 2.0.10
certifi 2024.12.14
cffi 1.17.1
charset-normalizer 3.4.1
click 8.1.8
cloudpathlib 0.20.0
cmdstanpy 1.2.5
colorama 0.4.6
confection 0.1.5
contourpy 1.3.0
cycler 0.12.1
cymem 2.0.10
Cython 3.0.11
dash 2.18.2
dash-bootstrap-components 1.6.0
dash-core-components 2.0.0
dash-html-components 2.0.0
dash-table 5.0.0
dataclasses 0.6
datasets 3.2.0
dill 0.3.8
filelock 3.16.1
Flask 3.0.3
fonttools 4.55.3
frozenlist 1.5.0
fsspec 2024.9.0
gensim 4.3.3
gitdb 4.0.12
GitPython 3.1.44
h2 4.1.0
holidays 0.64
hpack 4.0.0
huggingface-hub 0.27.1
hyperframe 6.0.1
idna 3.10
importlib_metadata 8.5.0
importlib_resources 6.5.2
itsdangerous 2.2.0
Jinja2 3.1.5
joblib 1.4.2
kiwisolver 1.4.7
langcodes 3.5.0
language_data 1.3.0
lightgbm 4.5.0
llvmlite 0.43.0
logai 0.1.5
marisa-trie 1.2.1
markdown-it-py 3.0.0
MarkupSafe 3.0.2
matplotlib 3.9.4
mdurl 0.1.2
mpmath 1.3.0
multidict 6.1.0
multiprocess 0.70.16
murmurhash 1.0.11
nest-asyncio 1.6.0
networkx 3.2.1
nltk 3.9.1
numba 0.60.0
numpy 1.26.4
packaging 24.2
pandas 2.2.3
patsy 1.0.1
pillow 10.4.0
pip 24.3.1
plotly 5.24.1
preshed 3.0.9
propcache 0.2.1
prophet 1.1.6
py4j 0.10.9.8
pyarrow 18.1.0
pycparser 2.22
pydantic 2.10.5
pydantic_core 2.27.2
Pygments 2.19.1
pyparsing 3.2.1
PySocks 1.7.1
python-dateutil 2.9.0.post0
pytz 2024.2
PyYAML 6.0.2
regex 2024.11.6
requests 2.32.3
retrying 1.3.4
rich 13.9.4
salesforce-merlion 2.0.4
schema 0.7.7
scikit-learn 1.6.0
scipy 1.13.1
seaborn 0.13.2
setuptools 75.7.0
shellingham 1.5.4
six 1.17.0
smart-open 7.1.0
smmap 5.0.2
spacy 3.8.3
spacy-legacy 3.0.12
spacy-loggers 1.0.5
srsly 2.5.0
stanio 0.5.1
statsmodels 0.14.4
sympy 1.13.3
tenacity 9.0.0
thinc 8.3.3
threadpoolctl 3.5.0
torch 2.5.1
torchvision 0.20.1
tqdm 4.67.1
typer 0.15.1
typing_extensions 4.12.2
tzdata 2024.2
urllib3 2.3.0
wasabi 1.1.3
weasel 0.4.1
Werkzeug 3.0.6
wheel 0.45.1
win_inet_pton 1.1.0
wrapt 1.17.0
xxhash 3.5.0
yarl 1.18.3
zipp 3.21.0
zstandard 0.23.0
using conda created python 3.9