Miscellaneous tools for data analysis and scientific computing
Home Page: https://has2k1.github.io/scikit-misc/stable
License: BSD 3-Clause "New" or "Revised" License
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Miscellaneous tools for data analysis and scientific computing.
Official version
$ pip install scikit-miscDevelopment version
$ pip install git+https://github.com/has2k1/scikit-misc.git@main
I cannot install scikit-misc ,
I run this in my Conda environment:
python -m pip install scikit-misc
And it is throwing a lot of error messages like:
ERROR: Command errored out with exit status 1:
Complete output (201 lines):
blas_opt_info:
blas_mkl_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in ['C:/Users/...\\Library\\lib']
NOT AVAILABLE
blis_info:
libraries blis not found in ['C:/Users/...\Library\\lib']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['C:/Users/...\\Library\\lib']
get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']'
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort
Could not locate executable ifl
... a lot more...
ERROR: Failed building wheel for scikit-misc
Any help would be greatly appreciated.
Python 3.8
Windows 10 Pro
# Name Version Build Channel
abseil-cpp 20210324.0 h0e60522_0 conda-forge
altair 4.1.0 py_1 conda-forge
argh 0.26.2 pyh9f0ad1d_1002 conda-forge
argon2-cffi 20.1.0 py38h294d835_2 conda-forge
arrow-cpp 4.0.0 py38heb70aae_1_cpu conda-forge
astor 0.8.1 pyh9f0ad1d_0 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.1.0 pyhd8ed1ab_0 conda-forge
aws-c-cal 0.5.7 h25e91e5_1 conda-forge
aws-c-common 0.5.11 h8ffe710_0 conda-forge
aws-c-event-stream 0.2.7 h9100e2b_4 conda-forge
aws-c-io 0.9.11 ha9e6ac0_3 conda-forge
aws-checksums 0.1.11 ha9e6ac0_6 conda-forge
aws-sdk-cpp 1.8.186 h496e9c5_2 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
base58 2.1.0 pyhd8ed1ab_0 conda-forge
bleach 3.3.0 pyh44b312d_0 conda-forge
blinker 1.4 py_1 conda-forge
boto3 1.17.68 pyhd8ed1ab_0 conda-forge
botocore 1.20.68 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h0e60522_4 conda-forge
brotlipy 0.7.0 py38h294d835_1001 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
c-ares 1.17.1 h8ffe710_1 conda-forge
ca-certificates 2020.12.5 h5b45459_0 conda-forge
cachetools 4.2.2 pyhd8ed1ab_0 conda-forge
certifi 2020.12.5 py38haa244fe_1 conda-forge
cffi 1.14.5 py38hd8c33c5_0 conda-forge
chardet 4.0.0 py38haa244fe_1 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cryptography 3.4.7 py38hd7da0ea_0 conda-forge
cycler 0.10.0 pypi_0 pypi
decorator 5.0.7 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
descartes 1.1.0 pypi_0 pypi
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
et-xmlfile 1.1.0 pypi_0 pypi
freetype 2.10.4 h546665d_1 conda-forge
gflags 2.2.2 ha925a31_1004 conda-forge
gitdb 4.0.7 pyhd8ed1ab_0 conda-forge
gitpython 3.1.15 pyhd8ed1ab_0 conda-forge
glog 0.4.0 h0174b99_3 conda-forge
grpc-cpp 1.37.1 hea9717d_0 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
importlib-metadata 4.0.1 py38haa244fe_0 conda-forge
intel-openmp 2021.2.0 h57928b3_616 conda-forge
ipykernel 5.5.4 py38h43734a8_0 conda-forge
ipython 7.23.1 py38h43734a8_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.6.3 pyhd3deb0d_0 conda-forge
jedi 0.18.0 py38haa244fe_2 conda-forge
jinja2 2.11.3 pyh44b312d_0 conda-forge
jmespath 0.10.0 pyh9f0ad1d_0 conda-forge
joblib 1.0.1 pypi_0 pypi
jpeg 9d h8ffe710_0 conda-forge
jsonschema 3.2.0 pyhd8ed1ab_3 conda-forge
jupyter_client 6.1.12 pyhd8ed1ab_0 conda-forge
jupyter_core 4.7.1 py38haa244fe_0 conda-forge
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_widgets 1.0.0 pyhd8ed1ab_1 conda-forge
kaleido 0.2.1 pypi_0 pypi
kiwisolver 1.3.1 pypi_0 pypi
krb5 1.17.2 hbae68bd_0 conda-forge
lcms2 2.12 h2a16943_0 conda-forge
libblas 3.9.0 9_mkl conda-forge
libcblas 3.9.0 9_mkl conda-forge
libcurl 7.76.1 hf1763fc_1 conda-forge
liblapack 3.9.0 9_mkl conda-forge
libpng 1.6.37 h1d00b33_2 conda-forge
libprotobuf 3.15.8 h7755175_0 conda-forge
libsodium 1.0.18 h8d14728_1 conda-forge
libssh2 1.9.0 h680486a_6 conda-forge
libthrift 0.14.1 h636ae23_1 conda-forge
libtiff 4.2.0 hc10be44_1 conda-forge
libutf8proc 2.6.1 hcb41399_0 conda-forge
lz4-c 1.9.3 h8ffe710_0 conda-forge
markupsafe 1.1.1 py38h294d835_3 conda-forge
matplotlib 3.4.1 pypi_0 pypi
matplotlib-inline 0.1.2 pyhd8ed1ab_2 conda-forge
mistune 0.8.4 py38h294d835_1003 conda-forge
mizani 0.7.3 pypi_0 pypi
mkl 2021.2.0 hb70f87d_389 conda-forge
nbclient 0.5.3 pyhd8ed1ab_0 conda-forge
nbconvert 6.0.7 py38haa244fe_3 conda-forge
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
nest-asyncio 1.5.1 pyhd8ed1ab_0 conda-forge
notebook 6.3.0 pyha770c72_1 conda-forge
numpy 1.20.2 py38h09042cb_0 conda-forge
olefile 0.46 pyh9f0ad1d_1 conda-forge
openjpeg 2.4.0 h48faf41_0 conda-forge
openpyxl 3.0.7 pypi_0 pypi
openssl 1.1.1k h8ffe710_0 conda-forge
packaging 20.9 pyh44b312d_0 conda-forge
palettable 3.3.0 pypi_0 pypi
pandas 1.2.4 py38h60cbd38_0 conda-forge
pandoc 2.13 h8ffe710_0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.2 pyhd8ed1ab_0 conda-forge
patsy 0.5.1 pypi_0 pypi
pickleshare 0.7.5 py_1003 conda-forge
pillow 8.1.2 py38h9273828_1 conda-forge
pip 21.1.1 pyhd8ed1ab_0 conda-forge
plotly 4.14.3 pypi_0 pypi
plotnine 0.8.0 pypi_0 pypi
prometheus_client 0.10.1 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.18 pyha770c72_0 conda-forge
protobuf 3.15.8 py38h885f38d_0 conda-forge
pyarrow 4.0.0 py38hd38ce15_1_cpu conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pydeck 0.6.2 pyh44b312d_0 conda-forge
pygments 2.9.0 pyhd8ed1ab_0 conda-forge
pyopenssl 20.0.1 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyrsistent 0.17.3 py38h294d835_2 conda-forge
pysocks 1.7.1 py38haa244fe_3 conda-forge
python 3.8.8 h7840368_0_cpython conda-forge
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.8 1_cp38 conda-forge
pytz 2021.1 pyhd8ed1ab_0 conda-forge
pywin32 300 py38h294d835_0 conda-forge
pywinpty 1.0.1 py38hd3f51b4_0 conda-forge
pyyaml 5.4.1 py38h294d835_0 conda-forge
pyzmq 22.0.3 py38h09162b1_1 conda-forge
re2 2021.04.01 h0e60522_0 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
retrying 1.3.3 pypi_0 pypi
s3transfer 0.4.2 pyhd8ed1ab_0 conda-forge
scikit-learn 0.24.2 pypi_0 pypi
scipy 1.6.3 pypi_0 pypi
send2trash 1.5.0 py_0 conda-forge
setuptools 49.6.0 py38haa244fe_3 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smmap 3.0.5 pyh44b312d_0 conda-forge
snappy 1.1.8 ha925a31_3 conda-forge
sqlite 3.35.5 h8ffe710_0 conda-forge
statsmodels 0.12.2 pypi_0 pypi
streamlit 0.81.1 pyhd8ed1ab_0 conda-forge
streamlit-ace 0.0.4 pypi_0 pypi
streamlit-tags 1.2.2 pypi_0 pypi
tbb 2021.2.0 h2d74725_0 conda-forge
terminado 0.9.4 py38haa244fe_0 conda-forge
testpath 0.4.4 py_0 conda-forge
threadpoolctl 2.1.0 pypi_0 pypi
tk 8.6.10 h8ffe710_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
toolz 0.11.1 py_0 conda-forge
tornado 6.1 py38h294d835_1 conda-forge
traitlets 5.0.5 py_0 conda-forge
typing_extensions 3.7.4.3 py_0 conda-forge
tzlocal 2.1 pyh9f0ad1d_0 conda-forge
urllib3 1.26.4 pyhd8ed1ab_0 conda-forge
validators 0.18.2 pyhd3deb0d_0 conda-forge
vc 14.2 hb210afc_4 conda-forge
vs2015_runtime 14.28.29325 h5e1d092_4 conda-forge
watchdog 2.1.0 py38haa244fe_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.36.2 pyhd3deb0d_0 conda-forge
widgetsnbextension 3.5.1 py38haa244fe_4 conda-forge
win_inet_pton 1.1.0 py38haa244fe_2 conda-forge
wincertstore 0.2 py38haa244fe_1006 conda-forge
winpty 0.4.3 4 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yaml 0.2.5 he774522_0 conda-forge
zeromq 4.3.4 h0e60522_0 conda-forge
zipp 3.4.1 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h62dcd97_1010 conda-forge
zstd 1.4.9 h6255e5f_0 conda-forge
hi,
A bug occurred when I was using scanpy for high variant gene arithmetic. I learned that the bug originated from scikit-misc, so I came to you for help.
my code:
adata.layers["counts"] = adata.X.copy() sc.pp.normalize_total(adata, target_sum=1e4) adata adata.raw = adata # keep full dimension safe sc.pp.highly_variable_genes( adata, flavor="seurat_v3",# n_top_genes=2000, layer="counts", batch_key="orig.ident", subset=True, span=1 )
error output
`ValueError Traceback (most recent call last)
Cell In[13], line 3
2 adata.raw = adata # keep full dimension safe
----> 3 sc.pp.highly_variable_genes(
4 adata,
5 flavor="seurat_v3",#
6 n_top_genes=2000,
7 layer="counts",
8 batch_key="orig.ident",
9 subset=True,
10 span=1
11 )
13 filename = 'melanoma_sw_high_var.h5ad'
14 adata.write(filename)
File ~/miniconda3/envs/scanpy/lib/python3.12/site-packages/scanpy/preprocessing/_highly_variable_genes.py:441, in highly_variable_genes(adata, layer, n_top_genes, min_disp, max_disp, min_mean, max_mean, span, n_bins, flavor, subset, inplace, batch_key, check_values)
439 sig = signature(_highly_variable_genes_seurat_v3)
440 n_top_genes = cast(int, sig.parameters["n_top_genes"].default)
--> 441 return _highly_variable_genes_seurat_v3(
442 adata,
443 layer=layer,
444 n_top_genes=n_top_genes,
445 batch_key=batch_key,
446 check_values=check_values,
447 span=span,
448 subset=subset,
449 inplace=inplace,
450 )
452 if batch_key is None:
453 df = _highly_variable_genes_single_batch(
454 adata,
455 layer=layer,
(...)
462 flavor=flavor,
463 )
File ~/miniconda3/envs/scanpy/lib/python3.12/site-packages/scanpy/preprocessing/_highly_variable_genes.py:87, in _highly_variable_genes_seurat_v3(adata, layer, n_top_genes, batch_key, check_values, span, subset, inplace)
85 x = np.log10(mean[not_const])
86 model = loess(x, y, span=span, degree=2)
---> 87 model.fit()
88 estimat_var[not_const] = model.outputs.fitted_values
89 reg_std = np.sqrt(10**estimat_var)
File _loess.pyx:927, in _loess.loess.fit()
ValueError: b'Extrapolation not allowed with blending'`
I went about updating scikit-misc for Fedora to 0.3.0. During the build I hit the following error:
../skmisc/meson.build:22:15: ERROR: Command `/usr/bin/python3 -c 'import os
os.chdir(os.path.join("..", "tools"))
import numpy as np
try:
incdir = os.path.relpath(np.get_include())
except Exception:
incdir = np.get_include()
print(incdir)
'` failed with status 1.NumPy is at version 1.24.4 currently and meson-python at version 0.14.0.
Hi,
I tried to save the model using pickle and I get the error TypeError: self._base cannot be converted to a Python object for pickling.
from skmisc.loess import loess
import numpy as np
import pickle
span_val = 0.1
x = np.random.random_sample((1000,))
y = np.random.random_sample((1000,))
model = loess(x,
y,
span=span_val,
normalize=False,
surface="direct",
family="gaussian",
)
model.fit()
pickle.dumps(model)
I succeded using skops but once I load the model I get Error: Segmentation fault (core dumped)
from skmisc.loess import loess
import numpy as np
import skops.io as sio
span_val = 0.1
x = np.random.random_sample((1000,))
y = np.random.random_sample((1000,))
model = loess(x,
y,
span=span_val,
normalize=False,
surface="direct",
family="gaussian",
)
model.fit()
sio.dump(model, "./model.skops", compression=0)
unknown_types = sio.get_untrusted_types(file="model.skops")
model_loaded = sio.load("./model.skops", trusted=unknown_types)
model_loaded.predict(x)
I use python 3.10.9 on Ubuntu 20.04.
Thank you for your help and for the library.
Linux:
Mac:
I can give more architecture details but maybe there's something I'm missing? The input arrays are have about 16,000 samples.
def _loess(y, x, span=0.3):
from skmisc.loess import loess
model = loess(x, y, span=span, degree=2)
model.fit()
y_est = model.predict(x).values
return y_est
Hi.
I am trying to install scikit-misc on an Apple M1 macbook. However I am not succeeding in doing so with pip install. I tried conda install -c conda-forge scikit-misc as instructed on this page. However this fails as well as the package is not being found on the available channels:
I am using a conda environment using miniconda.
Are there no sciki-misc wheels/binaries available for osx-arm64? I only see osx-64 here.
Thanks ahead.
The official build fails to error out for the problematic input. In this case, the span is too small. If the confidence intervals are to be computed, you end up in what appears to be an infinite loop.
code
import numpy as np
from skmisc.loess import loess
x = np.arange(10)
y = np.array([1, 2, 3, 4, 4, 5, 6, 7, 8, 9])
xseq = np.array([3, 9])
xseq = np.linspace(3, 9, 80)
lo = loess(x[3:], y[3:], weights=None, span=2/3)
lo.fit()
prediction = lo.predict(xseq, stderror=True)
#ci = prediction.confidence(alpha=0.05) # <-- creates infinite loop in official build
print(prediction)Results
----------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-16-5c0006fdf08b> in <module>()
8
9 lo = loess(x[3:], y[3:], weights=None, span=2/3)
---> 10 lo.fit()
11
12 prediction = lo.predict(xseq, stderror=True)
_loess.pyx in _loess.loess.fit (skmisc/loess/src/_loess.c:10688)()
ValueError: b'Chernobyl! trL>n 7\n'-------
Predicted values : [ 4. 3.96490947 3.93558725 3.91203333 3.89424772 3.88223041
3.87598141 3.87550072 3.88078834 3.89184426 3.90866848 3.93126102
3.95962186 3.993751 4.03552457 4.08765838 4.14891925 4.2179929
4.29356501 4.3743213 4.45894747 4.54612921 4.63455224 4.72290225
4.80986494 4.89412602 4.9743712 5.05063291 5.12658228 5.20253165
5.27848101 5.35443038 5.43037975 5.50632911 5.58227848 5.65822785
5.73417722 5.81012658 5.88607595 5.96202532 6.03797468 6.11392405
6.18987342 6.26582278 6.34177215 6.41772152 6.49367089 6.56962025
6.64556962 6.72151899 6.79746835 6.87341772 6.94936709 7.02531646
7.10126582 7.17721519 7.25316456 7.32911392 7.40506329 7.48101266
7.55696203 7.63291139 7.70886076 7.78481013 7.86075949 7.93670886
8.01265823 8.08860759 8.16455696 8.24050633 8.3164557 8.39240506
8.46835443 8.5443038 8.62025316 8.69620253 8.7721519 8.84810127
8.92405063 9. ]
Predicted std error : [ inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf
inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf
inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf
inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf
inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf
inf inf inf inf inf]
Residual scale : inf
Degrees of freedom : nan
The bad values for the standard error, residual scale and degrees of problems are likely
the mechanical cause of the infinite loop. The predicted values look reasonable given the
in put data, but should we trust them? stderror=False for the local build still errors out.
This is most likely caused by a difference in compiler versions and/or settings.
I have been notified of the latest release (0.2.0) on PyPI. However, there's no changelog entry. I believe the switch to Meson deserves some mention. I haven't tried building 0.2.0 yet. Time permitting, I will look into this over the weekend.
C:\Users\17621802479>pip install scikit-misc
Collecting scikit-misc
Using cached scikit-misc-0.1.4.tar.gz (852 kB)
Preparing metadata (setup.py) ... done
Requirement already satisfied: numpy in d:\python相关\python\lib\site-packages (from scikit-misc) (1.23.2)
Using legacy 'setup.py install' for scikit-misc, since package 'wheel' is not installed.
Installing collected packages: scikit-misc
Running setup.py install for scikit-misc ... error
error: subprocess-exited-with-error
× Running setup.py install for scikit-misc did not run successfully.
│ exit code: 1
╰─> [230 lines of output]
C:\Users\17621802479\AppData\Local\Temp\pip-install-21mv2hsl\scikit-misc_357780ddc9f042a697af0739917fb7f7\setup.py:144: DeprecationWarning:
`numpy.distutils` is deprecated since NumPy 1.23.0, as a result
of the deprecation of `distutils` itself. It will be removed for
Python >= 3.12. For older Python versions it will remain present.
It is recommended to use `setuptools < 60.0` for those Python versions.
For more details, see:
https://numpy.org/devdocs/reference/distutils_status_migration.html
from numpy.distutils.core import setup, numpy_cmdclass
D:\python相关\python\lib\site-packages\setuptools\installer.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer.
warnings.warn(
WARNING: The wheel package is not available.
INFO: blas_opt_info:
INFO: blas_armpl_info:
INFO: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
INFO: customize MSVCCompiler
INFO: libraries armpl_lp64_mp not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: blas_mkl_info:
INFO: libraries mkl_rt not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: blis_info:
INFO: libraries blis not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: openblas_info:
INFO: libraries openblas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']'
INFO: customize GnuFCompiler
WARN: Could not locate executable g77
WARN: Could not locate executable f77
INFO: customize IntelVisualFCompiler
WARN: Could not locate executable ifort
WARN: Could not locate executable ifl
INFO: customize AbsoftFCompiler
WARN: Could not locate executable f90
INFO: customize CompaqVisualFCompiler
WARN: Could not locate executable DF
INFO: customize IntelItaniumVisualFCompiler
WARN: Could not locate executable efl
INFO: customize Gnu95FCompiler
WARN: Could not locate executable gfortran
WARN: Could not locate executable f95
INFO: customize G95FCompiler
WARN: Could not locate executable g95
INFO: customize IntelEM64VisualFCompiler
INFO: customize IntelEM64TFCompiler
WARN: Could not locate executable efort
WARN: Could not locate executable efc
INFO: customize PGroupFlangCompiler
WARN: Could not locate executable flang
WARN: don't know how to compile Fortran code on platform 'nt'
INFO: NOT AVAILABLE
INFO:
INFO: accelerate_info:
INFO: NOT AVAILABLE
INFO:
INFO: atlas_3_10_blas_threads_info:
INFO: Setting PTATLAS=ATLAS
INFO: libraries tatlas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: atlas_3_10_blas_info:
INFO: libraries satlas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: atlas_blas_threads_info:
INFO: Setting PTATLAS=ATLAS
INFO: libraries ptf77blas,ptcblas,atlas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
INFO: atlas_blas_info:
INFO: libraries f77blas,cblas,atlas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
D:\python相关\python\lib\site-packages\numpy\distutils\system_info.py:2077: UserWarning:
Optimized (vendor) Blas libraries are not found.
Falls back to netlib Blas library which has worse performance.
A better performance should be easily gained by switching
Blas library.
if self._calc_info(blas):
INFO: blas_info:
INFO: libraries blas not found in ['D:\\python相关\\python\\lib', 'C:\\', 'D:\\python相关\\python\\libs']
INFO: NOT AVAILABLE
INFO:
D:\python相关\python\lib\site-packages\numpy\distutils\system_info.py:2077: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
if self._calc_info(blas):
INFO: blas_src_info:
INFO: NOT AVAILABLE
INFO:
D:\python相关\python\lib\site-packages\numpy\distutils\system_info.py:2077: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
if self._calc_info(blas):
INFO: NOT AVAILABLE
INFO:
running install
D:\python相关\python\lib\site-packages\setuptools\command\install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
running build
running config_cc
INFO: unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
INFO: unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
INFO: build_src
INFO: building py_modules sources
INFO: building library "floess" sources
INFO: building extension "skmisc.loess._loess" sources
INFO: building data_files sources
INFO: build_src: building npy-pkg config files
running build_py
creating build\lib.win-amd64-cpython-310
creating build\lib.win-amd64-cpython-310\skmisc
copying skmisc\setup.py -> build\lib.win-amd64-cpython-310\skmisc
copying skmisc\_version.py -> build\lib.win-amd64-cpython-310\skmisc
copying skmisc\__config__.py -> build\lib.win-amd64-cpython-310\skmisc
copying skmisc\__init__.py -> build\lib.win-amd64-cpython-310\skmisc
copying build\src.win-amd64-3.10\skmisc\__config__.py -> build\lib.win-amd64-cpython-310\skmisc
creating build\lib.win-amd64-cpython-310\skmisc\loess
copying skmisc\loess\setup.py -> build\lib.win-amd64-cpython-310\skmisc\loess
copying skmisc\loess\__init__.py -> build\lib.win-amd64-cpython-310\skmisc\loess
creating build\lib.win-amd64-cpython-310\skmisc\loess\tests
copying skmisc\loess\tests\test_loess.py -> build\lib.win-amd64-cpython-310\skmisc\loess\tests
copying skmisc\loess\tests\__init__.py -> build\lib.win-amd64-cpython-310\skmisc\loess\tests
UPDATING build\lib.win-amd64-cpython-310\skmisc/_version.py
set build\lib.win-amd64-cpython-310\skmisc/_version.py to '0.1.4'
running build_clib
INFO: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
INFO: customize MSVCCompiler
INFO: customize MSVCCompiler using build_clib
INFO: CCompilerOpt.cc_test_flags[1073] : testing flags (/O2)
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages\numpy
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages\numpy\distutils
creating C:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages\numpy\distutils\checks
INFO: CCompilerOpt.cc_test_flags[1073] : testing flags (/WX)
WARN: CCompilerOpt.__init__[1240] : feature 'AVX512_KNL' is disabled, MSVC compiler doesn't support it
WARN: CCompilerOpt.__init__[1240] : feature 'AVX512_KNM' is disabled, MSVC compiler doesn't support it
INFO: CCompilerOpt.__init__[1782] : check requested baseline
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSE' with flags ()
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSE2' with flags ()
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSE3' with flags ()
INFO: CCompilerOpt.__init__[1791] : check requested dispatch-able features
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSE41' with flags ()
INFO: CCompilerOpt.feature_test[1547] : testing feature 'POPCNT' with flags ()
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSSE3' with flags ()
INFO: CCompilerOpt.feature_test[1547] : testing feature 'SSE42' with flags ()
INFO: CCompilerOpt.cc_test_flags[1073] : testing flags (/arch:AVX)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX' with flags (/arch:AVX)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'F16C' with flags (/arch:AVX)
INFO: CCompilerOpt.cc_test_flags[1073] : testing flags (/arch:AVX2)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX2' with flags (/arch:AVX2)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'FMA3' with flags (/arch:AVX2)
INFO: CCompilerOpt.cc_test_flags[1073] : testing flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512_SKX' with flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512_CNL' with flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512CD' with flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512_CLX' with flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512F' with flags (/arch:AVX512)
INFO: CCompilerOpt.feature_test[1547] : testing feature 'AVX512_ICL' with flags (/arch:AVX512)
WARN: CCompilerOpt.dist_test[630] : CCompilerOpt._dist_test_spawn[764] : Command (D:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /O2 /W3 /GL /DNDEBUG /MD -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\ATLMFC\include -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\include -ID:\Windows Kits\10\include\10.0.17763.0\ucrt -ID:\Windows Kits\10\include\10.0.17763.0\shared -ID:\Windows Kits\10\include\10.0.17763.0\um -ID:\Windows Kits\10\include\10.0.17763.0\winrt -ID:\Windows Kits\10\include\10.0.17763.0\cppwinrt /TcD:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c /FoC:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python 相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.obj /arch:AVX512 /WX) failed with exit status 2 output ->
cpu_avx512_icl.c
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(20): error C2220: 警告被视为错误 - 没有生成“object”文件
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(20): warning C4013: “_mm512_shrdv_epi64”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(20): error C2440: “=”: 无法从“int”转换为“__m512i”
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(22): warning C4013: “_mm512_popcnt_epi8”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(22): error C2440: “=”: 无法从“int”转换为“__m512i”
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(24): warning C4013: “_mm512_popcnt_epi64”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\cpu_avx512_icl.c(24): error C2440: “=”: 无法从“int”转换为“__m512i”
WARN: CCompilerOpt.feature_test[1563] : testing failed
INFO: CCompilerOpt.__init__[1803] : skip features (SSE2 SSE3 SSE) since its part of baseline
INFO: CCompilerOpt.__init__[1807] : initialize targets groups
INFO: CCompilerOpt.__init__[1809] : parse target group simd_test
INFO: CCompilerOpt._parse_target_tokens[2020] : skip targets (VXE VSX4 VXE2 ASIMD VSX2 VSX FMA4 XOP NEON VX VSX3) not part of baseline or dispatch-able features
INFO: CCompilerOpt._parse_policy_not_keepbase[2132] : skip baseline features (SSE2)
INFO: CCompilerOpt.generate_dispatch_header[2353] : generate CPU dispatch header: (build\src.win-amd64-3.10\numpy\distutils\include\npy_cpu_dispatch_config.h)
WARN: CCompilerOpt.generate_dispatch_header[2362] : dispatch header dir build\src.win-amd64-3.10\numpy\distutils\include does not exist, creating it
INFO: CCompilerOpt.feature_extra_checks[1627] : Testing extra checks for feature 'AVX512F' (AVX512F_REDUCE)
INFO: CCompilerOpt.feature_extra_checks[1627] : Testing extra checks for feature 'AVX512_SKX' (AVX512BW_MASK AVX512DQ_MASK)
WARN: CCompilerOpt.dist_test[630] : CCompilerOpt._dist_test_spawn[764] : Command (D:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /O2 /W3 /GL /DNDEBUG /MD -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\ATLMFC\include -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\include -ID:\Windows Kits\10\include\10.0.17763.0\ucrt -ID:\Windows Kits\10\include\10.0.17763.0\shared -ID:\Windows Kits\10\include\10.0.17763.0\um -ID:\Windows Kits\10\include\10.0.17763.0\winrt -ID:\Windows Kits\10\include\10.0.17763.0\cppwinrt /TcD:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c /FoC:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.obj /arch:AVX512 /WX) failed with exit status 2 output ->
extra_avx512bw_mask.c
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c(12): error C2220: 警告被视为错误 - 没有生成“object”文件
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c(12): warning C4013: “_kor_mask64”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c(13): warning C4013: “_kxor_mask64”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c(14): warning C4013: “_cvtu64_mask64”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512bw_mask.c(14): warning C4013: “_cvtmask64_u64”未定义；假设外部返回 int
WARN: CCompilerOpt.dist_test[630] : CCompilerOpt._dist_test_spawn[764] : Command (D:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /O2 /W3 /GL /DNDEBUG /MD -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\ATLMFC\include -ID:\Visual Studio 2017\vs2017\VC\Tools\MSVC\14.16.27023\include -ID:\Windows Kits\10\include\10.0.17763.0\ucrt -ID:\Windows Kits\10\include\10.0.17763.0\shared -ID:\Windows Kits\10\include\10.0.17763.0\um -ID:\Windows Kits\10\include\10.0.17763.0\winrt -ID:\Windows Kits\10\include\10.0.17763.0\cppwinrt /TcD:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c /FoC:\Users\176218~1\AppData\Local\Temp\tmpzcrd2haj\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.obj /arch:AVX512 /WX) failed with exit status 2 output ->
extra_avx512dq_mask.c
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c(12): error C2220: 警告被视为错误 - 没有生成“object”文件
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c(12): warning C4013: “_kor_mask8”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c(13): warning C4013: “_kxor_mask8”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c(14): warning C4013: “_cvtu32_mask8”未定义；假设外部返回 int
D:\python相关\python\Lib\site-packages\numpy\distutils\checks\extra_avx512dq_mask.c(14): warning C4013: “_cvtmask8_u32”未定义；假设外部返回 int
WARN: CCompilerOpt.feature_extra_checks[1645] : testing failed for checks (AVX512BW_MASK AVX512DQ_MASK)
INFO: building 'floess' library
error: library floess has Fortran sources but no Fortran compiler found
INFO:
########### CLIB COMPILER OPTIMIZATION ###########
INFO: Platform :
Architecture: x64
Compiler : msvc
CPU baseline :
Requested : 'min'
Enabled : SSE SSE2 SSE3
Flags : none
Extra checks: none
CPU dispatch :
Requested : 'max -xop -fma4'
Enabled : SSSE3 SSE41 POPCNT SSE42 AVX F16C FMA3 AVX2 AVX512F AVX512CD AVX512_SKX AVX512_CLX AVX512_CNL
Generated : none
INFO: CCompilerOpt.cache_flush[857] : write cache to path -> C:\Users\17621802479\AppData\Local\Temp\pip-install-21mv2hsl\scikit-misc_357780ddc9f042a697af0739917fb7f7\build\temp.win-amd64-cpython-310\ccompiler_opt_cache_clib.py
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure
× Encountered error while trying to install package.
╰─> scikit-misc
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.
[notice] A new release of pip available: 22.2.1 -> 22.2.2
[notice] To update, run: python.exe -m pip install --upgrade pip
I'm quite sure this is an issue of scikit-misc so I file it here.
I ran into the following why doing plots with https://github.com/has2k1/plotnine.
#!/usr/bin/env python3
import numpy as np
import pandas as pd
from plotnine import *
time_int = np.array(range(30000))
time_float = np.linspace(0, 500, 30000)
values = np.random.randint(1, 1000, 30000)
df = pd.DataFrame({'time_int': time_int, 'time_float': time_float, 'values': values})
df.info()
plot1 = ggplot(df, aes(x='time_int', y='values')) \
+ stat_smooth(method='loess')
plot2 = ggplot(df, aes(x='time_float', y='values')) \
+ stat_smooth(method='loess')
# print(plot1) # gives 'out of memory'
print(plot2) # crashes with segfaultWith print(plot1) this prints:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 30000 entries, 0 to 29999
Data columns (total 3 columns):
time_float 30000 non-null float64
time_int 30000 non-null int64
values 30000 non-null int64
dtypes: float64(1), int64(2)
memory usage: 703.2 KB
[skmisc/loess/src/misc.c:34] Out of memory (7200000000 bytes)
With print(plot2) this prints:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 30000 entries, 0 to 29999
Data columns (total 3 columns):
time_float 30000 non-null float64
time_int 30000 non-null int64
values 30000 non-null int64
dtypes: float64(1), int64(2)
memory usage: 703.2 KB
zsh: segmentation fault (core dumped) ./test.py
Hi,
I'm on windows and using a pipenv environment.
The installation with pipenv install was successful and everythink is located in the X:\Users\XYZ.virtualenvs\meret-LhVWc3ru\Lib\site-packages\skmisc\loess
However, an error occured and i have no idea how to solve it:
File "X:\Users\XYZ\.virtualenvs\meret-LhVWc3ru\lib\site-packages\skmisc\loess\__init__.py", line 51, in <module>
from ._loess import (loess, loess_model, loess_inputs, loess_control,
ImportError: DLL load failed: The specified module could not be found.
I tried to include the location "site-packages\skmisc\loess_loess.cp36-win_amd64.pyd" to the windows path variable but no success. Why is this file not found by python?
Hi,
I was building a Debian package for scikit-misc and Debian's packaging lint tool spotted some typos.
A patch was the easiest way to point them out.
--- a/skmisc/loess/src/_loess.pyx
+++ b/skmisc/loess/src/_loess.pyx
@@ -87,14 +87,14 @@
elif x.ndim == 2:
p = x.shape[1]
else:
- raise ValueError("The array of indepedent varibales "
+ raise ValueError("The array of independent variables "
"should be 2D at most!")
if y.ndim != 1:
raise ValueError("The array of dependent variables "
"should be 1D.")
elif n != len(y):
- raise ValueError("The independent and depedent varibales "
+ raise ValueError("The independent and dependent variables "
"should have the same number of "
"observations.")
I'm trying to build scikit-misc.
Cython 0.29.17
scikit-misc- 0.1.1
CPython 3.7
NixOS 20.09(pre)
This issue might be related to cython/cython#1955.
Building wheels for collected packages: scikit-misc
Building wheel for scikit-misc (setup.py) ... error
ERROR: Command errored out with exit status 1:
command: /nix/store/vs4vj1yzqj1bkcqkf3b6sxm6jfy1gb4j-python3-3.7.7/bin/python3.7 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/build/pip-req-build-r8ke0ly9/setup.py'"'"'; __file__='"'"'/build/pip-req-build-r8ke0ly9/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /build/pip-wheel-j5poygq3
cwd: /build/pip-req-build-r8ke0ly9/
Complete output (321 lines):
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/nix/store/vs4vj1yzqj1bkcqkf3b6sxm6jfy1gb4j-python3-3.7.7/lib']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/nix/store/vs4vj1yzqj1bkcqkf3b6sxm6jfy1gb4j-python3-3.7.7/lib']
NOT AVAILABLE
openblas_info:
C compiler: gcc -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating /build/tmpixtzsppz/build
creating /build/tmpixtzsppz/build/tmpixtzsppz
compile options: '-c'
gcc: /build/tmpixtzsppz/source.c
gcc /build/tmpixtzsppz/build/tmpixtzsppz/source.o -L/nix/store/rcgc63zy9mc9vz76p16ylqjsnmadnmrk-openblas-0.3.8/lib -lopenblas -o /build/tmpixtzsppz/a.out
FOUND:
libraries = ['openblas', 'openblas']
library_dirs = ['/nix/store/rcgc63zy9mc9vz76p16ylqjsnmadnmrk-openblas-0.3.8/lib']
language = c
define_macros = [('HAVE_CBLAS', None)]
FOUND:
libraries = ['openblas', 'openblas']
library_dirs = ['/nix/store/rcgc63zy9mc9vz76p16ylqjsnmadnmrk-openblas-0.3.8/lib']
language = c
define_macros = [('HAVE_CBLAS', None)]
running bdist_wheel
The [wheel] section is deprecated. Use [bdist_wheel] instead.
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
building library "floess" sources
building extension "skmisc.loess._loess" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-x86_64-3.7
creating build/lib.linux-x86_64-3.7/skmisc
copying skmisc/_version.py -> build/lib.linux-x86_64-3.7/skmisc
copying skmisc/__init__.py -> build/lib.linux-x86_64-3.7/skmisc
copying skmisc/__config__.py -> build/lib.linux-x86_64-3.7/skmisc
copying skmisc/setup.py -> build/lib.linux-x86_64-3.7/skmisc
copying build/src.linux-x86_64-3.7/skmisc/__config__.py -> build/lib.linux-x86_64-3.7/skmisc
creating build/lib.linux-x86_64-3.7/skmisc/loess
copying skmisc/loess/__init__.py -> build/lib.linux-x86_64-3.7/skmisc/loess
copying skmisc/loess/setup.py -> build/lib.linux-x86_64-3.7/skmisc/loess
creating build/lib.linux-x86_64-3.7/skmisc/loess/tests
copying skmisc/loess/tests/__init__.py -> build/lib.linux-x86_64-3.7/skmisc/loess/tests
copying skmisc/loess/tests/test_loess.py -> build/lib.linux-x86_64-3.7/skmisc/loess/tests
UPDATING build/lib.linux-x86_64-3.7/skmisc/_version.py
set build/lib.linux-x86_64-3.7/skmisc/_version.py to '0.1.1'
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
get_default_fcompiler: matching types: '['gnu95', 'intel', 'lahey', 'pg', 'absoft', 'nag', 'vast', 'compaq', 'intele', 'intelem', 'gnu', 'g95', 'pathf95', 'nagfor']'
customize Gnu95FCompiler
Found executable /nix/store/m3b8gs0ykgc6ij8k270893ir125l63h5-gfortran-wrapper-9.3.0/bin/gfortran
Found executable /nix/store/m3b8gs0ykgc6ij8k270893ir125l63h5-gfortran-wrapper-9.3.0/bin/ld
Found executable /nix/store/sq2b0dqlq243mqn4ql5h36xmpplyy20k-binutils-2.31.1/bin/ar
Found executable /nix/store/sq2b0dqlq243mqn4ql5h36xmpplyy20k-binutils-2.31.1/bin/ranlib
customize Gnu95FCompiler
customize Gnu95FCompiler using build_clib
building 'floess' library
compiling Fortran sources
Fortran f77 compiler: /nix/store/m3b8gs0ykgc6ij8k270893ir125l63h5-gfortran-wrapper-9.3.0/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -fPIC -O3 -funroll-loops
Fortran f90 compiler: /nix/store/m3b8gs0ykgc6ij8k270893ir125l63h5-gfortran-wrapper-9.3.0/bin/gfortran -Wall -g -fno-second-underscore -fPIC -O3 -funroll-loops
Fortran fix compiler: /nix/store/m3b8gs0ykgc6ij8k270893ir125l63h5-gfortran-wrapper-9.3.0/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-3.7
creating build/temp.linux-x86_64-3.7/skmisc
creating build/temp.linux-x86_64-3.7/skmisc/loess
creating build/temp.linux-x86_64-3.7/skmisc/loess/src
compile options: '-I/nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include -c'
gfortran:f77: skmisc/loess/src/loessf.f
gfortran:f77: skmisc/loess/src/linpack_lite.f
f951: Warning: command line option ‘-Wformat=1’ is valid for C/C++/ObjC/ObjC++ but not for Fortran
f951: Warning: command line option ‘-Wformat-security’ is valid for C/C++/ObjC/ObjC++ but not for Fortran
f951: Warning: ‘-Werror=’ argument ‘-Werror=format-security’ is not valid for Fortran
f951: Warning: command line option ‘-Wformat=1’ is valid for C/C++/ObjC/ObjC++ but not for Fortran
f951: Warning: command line option ‘-Wformat-security’ is valid for C/C++/ObjC/ObjC++ but not for Fortran
f951: Warning: ‘-Werror=’ argument ‘-Werror=format-security’ is not valid for Fortran
skmisc/loess/src/linpack_lite.f:381:31:
381 | double precision ddot,t,r
| 1
Warning: Unused variable ‘r’ declared at (1) [-Wunused-variable]
skmisc/loess/src/loessf.f:59:14:
59 | j=DBLE(j)/2.D0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:1893:14:
1893 | m=DBLE(l+u)/2.D0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:1398:20:
1398 | i=phi(pi(ii))
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:927:12:
927 | lg=DBLE(lg)/2.D0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:522:22:
522 | if(deg.eq.2) dk=dble((d+2)*(d+1))/2.d0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:1204:13:
1204 | ifloor=x
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:834:22:
834 | if(deg.eq.2) dk=dble((d+2)*(d+1))/2.d0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:1582:18:
1582 | i1=dble((d+2)*(d+1))/2.d0
| 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion]
skmisc/loess/src/loessf.f:472:25:
472 | subroutine ehg133(n,d,vc,nvmax,nc,ncmax,a,c,hi,lo,v,vval,xi,m,z,s)
| 1
Warning: Unused dummy argument ‘n’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:472:39:
472 | subroutine ehg133(n,d,vc,nvmax,nc,ncmax,a,c,hi,lo,v,vval,xi,m,z,s)
| 1
Warning: Unused dummy argument ‘nc’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:827:31:
827 | subroutine ehg197(deg,tau,d,f,dk,trl)
| 1
Warning: Unused dummy argument ‘tau’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1984:31:
1984 | subroutine ehg137(z,kappa,leaf,nleaf,d,nv,nvmax,ncmax,a,xi,lo,hi)
| 1
Warning: Unused dummy argument ‘kappa’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1984:47:
1984 | subroutine ehg137(z,kappa,leaf,nleaf,d,nv,nvmax,ncmax,a,xi,lo,hi)
| 1
Warning: Unused dummy argument ‘nv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1984:53:
1984 | subroutine ehg137(z,kappa,leaf,nleaf,d,nv,nvmax,ncmax,a,xi,lo,hi)
| 1
Warning: Unused dummy argument ‘nvmax’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1497:50:
1497 | subroutine lowesb(xx,yy,ww,diagl,infl,iv,liv,lv,wv)
| 1
Warning: Unused dummy argument ‘liv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1497:53:
1497 | subroutine lowesb(xx,yy,ww,diagl,infl,iv,liv,lv,wv)
| 1
Warning: Unused dummy argument ‘lv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1648:30:
1648 | subroutine lowese(iv,liv,lv,wv,m,z,s)
| 1
Warning: Unused dummy argument ‘liv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1648:33:
1648 | subroutine lowese(iv,liv,lv,wv,m,z,s)
| 1
Warning: Unused dummy argument ‘lv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1667:39:
1667 | subroutine lowesf(xx,yy,ww,iv,liv,lv,wv,m,z,l,ihat,s)
| 1
Warning: Unused dummy argument ‘liv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1667:42:
1667 | subroutine lowesf(xx,yy,ww,iv,liv,lv,wv,m,z,l,ihat,s)
| 1
Warning: Unused dummy argument ‘lv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1699:30:
1699 | subroutine lowesl(iv,liv,lv,wv,m,z,l)
| 1
Warning: Unused dummy argument ‘liv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1699:33:
1699 | subroutine lowesl(iv,liv,lv,wv,m,z,l)
| 1
Warning: Unused dummy argument ‘lv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1721:33:
1721 | subroutine lowesr(yy,iv,liv,lv,wv)
| 1
Warning: Unused dummy argument ‘liv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/loessf.f:1721:36:
1721 | subroutine lowesr(yy,iv,liv,lv,wv)
| 1
Warning: Unused dummy argument ‘lv’ at (1) [-Wunused-dummy-argument]
skmisc/loess/src/linpack_lite.f:379:0:
379 | integer i,iter,j,jobu,k,kase,kk,l,ll,lls,lm1,lp1,ls,lu,m,maxit,
|
Warning: ‘ls’ may be used uninitialized in this function [-Wmaybe-uninitialized]
skmisc/loess/src/linpack_lite.f:379:0: Warning: ‘l’ may be used uninitialized in this function [-Wmaybe-uninitialized]
ar: adding 2 object files to build/temp.linux-x86_64-3.7/libfloess.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
resetting extension 'skmisc.loess._loess' language from 'c' to 'f77'.
get_default_fcompiler: matching types: '['gnu95', 'intel', 'lahey', 'pg', 'absoft', 'nag', 'vast', 'compaq', 'intele', 'intelem', 'gnu', 'g95', 'pathf95', 'nagfor']'
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using build_ext
building 'skmisc.loess._loess' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
compile options: '-DHAVE_CBLAS -I/nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include -I/nix/store/vs4vj1yzqj1bkcqkf3b6sxm6jfy1gb4j-python3-3.7.7/include/python3.7m -c'
gcc: skmisc/loess/src/_loess.c
gcc: skmisc/loess/src/loess.cgcc: skmisc/loess/src/misc.c
gcc: skmisc/loess/src/loessc.cgcc: skmisc/loess/src/predict.c
skmisc/loess/src/misc.c: In function ‘d1mach_’:
skmisc/loess/src/misc.c:321:1: warning: control reaches end of non-void function [-Wreturn-type]
321 | }
| ^
skmisc/loess/src/loess.c: In function ‘loess_’:
skmisc/loess/src/loess.c:187:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation]
187 | for(i = 0; i < N; i++)
| ^~~
skmisc/loess/src/loess.c:189:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’
189 | for(i = 0; i < (N * D); i++)
| ^~~
In file included from /nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1832,
from /nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,
from /nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from skmisc/loess/src/_loess.c:274:
/nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
17 | #warning "Using deprecated NumPy API, disable it with " \
| ^~~~~~~
skmisc/loess/src/_loess.c: In function ‘__Pyx__ExceptionSave’:
skmisc/loess/src/_loess.c:17432:21: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_type’; did you mean ‘curexc_type’?
17432 | *type = tstate->exc_type;
| ^~~~~~~~
| curexc_type
skmisc/loess/src/_loess.c:17433:22: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_value’; did you mean ‘curexc_value’?
17433 | *value = tstate->exc_value;
| ^~~~~~~~~
| curexc_value
skmisc/loess/src/_loess.c:17434:19: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
17434 | *tb = tstate->exc_traceback;
| ^~~~~~~~~~~~~
| curexc_traceback
skmisc/loess/src/_loess.c: In function ‘__Pyx__ExceptionReset’:
skmisc/loess/src/_loess.c:17441:24: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_type’; did you mean ‘curexc_type’?
17441 | tmp_type = tstate->exc_type;
| ^~~~~~~~
| curexc_type
skmisc/loess/src/_loess.c:17442:25: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_value’; did you mean ‘curexc_value’?
17442 | tmp_value = tstate->exc_value;
| ^~~~~~~~~
| curexc_value
skmisc/loess/src/_loess.c:17443:22: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
17443 | tmp_tb = tstate->exc_traceback;
| ^~~~~~~~~~~~~
| curexc_traceback
skmisc/loess/src/_loess.c:17444:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_type’; did you mean ‘curexc_type’?
17444 | tstate->exc_type = type;
| ^~~~~~~~
| curexc_type
skmisc/loess/src/_loess.c:17445:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_value’; did you mean ‘curexc_value’?
17445 | tstate->exc_value = value;
| ^~~~~~~~~
| curexc_value
skmisc/loess/src/_loess.c:17446:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
17446 | tstate->exc_traceback = tb;
| ^~~~~~~~~~~~~
| curexc_traceback
skmisc/loess/src/_loess.c: In function ‘__Pyx__GetException’:
skmisc/loess/src/_loess.c:17501:24: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_type’; did you mean ‘curexc_type’?
17501 | tmp_type = tstate->exc_type;
| ^~~~~~~~
| curexc_type
skmisc/loess/src/_loess.c:17502:25: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_value’; did you mean ‘curexc_value’?
17502 | tmp_value = tstate->exc_value;
| ^~~~~~~~~
| curexc_value
skmisc/loess/src/_loess.c:17503:22: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
17503 | tmp_tb = tstate->exc_traceback;
| ^~~~~~~~~~~~~
| curexc_traceback
skmisc/loess/src/_loess.c:17504:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_type’; did you mean ‘curexc_type’?
17504 | tstate->exc_type = local_type;
| ^~~~~~~~
| curexc_type
skmisc/loess/src/_loess.c:17505:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_value’; did you mean ‘curexc_value’?
17505 | tstate->exc_value = local_value;
| ^~~~~~~~~
| curexc_value
skmisc/loess/src/_loess.c:17506:13: error: ‘PyThreadState’ {aka ‘struct _ts’} has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
17506 | tstate->exc_traceback = local_tb;
| ^~~~~~~~~~~~~
| curexc_traceback
error: Command "gcc -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DHAVE_CBLAS -I/nix/store/kdl58n56r1inmyrb44k3nx2qjv05gmsn-python3.7-numpy-1.18.3/lib/python3.7/site-packages/numpy/core/include -I/nix/store/vs4vj1yzqj1bkcqkf3b6sxm6jfy1gb4j-python3-3.7.7/include/python3.7m -c skmisc/loess/src/_loess.c -o build/temp.linux-x86_64-3.7/skmisc/loess/src/_loess.o -MMD -MF build/temp.linux-x86_64-3.7/skmisc/loess/src/_loess.o.d" failed with exit status 1
----------------------------------------
Hi,
I have scikit-misc 0.1.4 installed in an Anaconda environment on Windows 10.
When I try to import skmisc.loess.loess i receive the following error:
>>> from skmisc.loess import loess
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\Tools\Anaconda\lib\site-packages\skmisc\loess\__init__.py", line 51, in <module>
from ._loess import (loess, loess_model, loess_inputs, loess_control,
ImportError: DLL load failed while importing _loess: Das angegebene Modul wurde nicht gefunden.
Same error with version 0.1.3.
Is that error related to issue #4?
Fedora is preparing for upgrading Python to version 3.13 (not yet released) in Fedora 41 (scheduled to be released in October). Part of that effort is rebuilding all packages using Python 3.13 pre-releases as they become available.
Currently scikit-misc fails to build using Python 3.13.0a4:
../skmisc/meson.build:22:15: ERROR: Command `/usr/bin/python3 -c 'import os
os.chdir(os.path.join("..", "tools"))
import numpy as np
try:
incdir = os.path.relpath(np.get_include())
except Exception:
incdir = np.get_include()
print(incdir)
'` failed with status 1.I'm reporting this for awareness. I will also try to figure out what's causing the issue and, if I can, come up with a patch.
Hi. I'm trying to package scikit-misc as a dependency of plotnine for Fedora.
The build fails with the following error:
skmisc/loess/src/_loess.c:198:12: fatal error: longintrepr.h: No such file or directory
198 | #include "longintrepr.h"
| ^~~~~~~~~~~~~~~
compilation terminated.
INFO: gcc: skmisc/loess/src/loessc.c
skmisc/loess/src/loessc.c: In function ‘ehg183a_’:
skmisc/loess/src/loessc.c:472:19: warning: storing the address of local variable ‘mess’ in ‘error_message’ [-Wdangling-pointer=]
472 | error_message = mess;
| ~~~~~~~~~~~~~~^~~~~~
skmisc/loess/src/loessc.c:462:10: note: ‘mess’ declared here
462 | char mess[4000], num[20];
| ^~~~
skmisc/loess/src/loessc.c:46:14: note: ‘error_message’ declared here
46 | extern char *error_message;
| ^~~~~~~~~~~~~
skmisc/loess/src/loessc.c: In function ‘ehg184a_’:
skmisc/loess/src/loessc.c:487:19: warning: storing the address of local variable ‘mess’ in ‘error_message’ [-Wdangling-pointer=]
487 | error_message = mess;
| ~~~~~~~~~~~~~~^~~~~~
skmisc/loess/src/loessc.c:477:10: note: ‘mess’ declared here
477 | char mess[4000], num[30];
| ^~~~
skmisc/loess/src/loessc.c:46:14: note: ‘error_message’ declared here
46 | extern char *error_message;
| ^~~~~~~~~~~~~Apparently the header file has been moved in 3.11 according to the Python docs. However, this change was implemented in Cython 0.29.25.
So, I'm out of clues for the moment.
Hi, I haven't been able to install scikit-misc on Windows 10. I found this thread regarding scikit-misc-wheels, and it looked like it wasn't able to be run on Windows.
Is that the case for scikit-misc? The error I was seeing suggested there was a problem compiling Fortran code.
skmisc/meson.build mentions:
# Note: `required: false` can be removed once numpy 1.19 is the minimum version
npyrandom_lib = cc.find_library('npyrandom', dirs: npyrandom_path, required: false)In pyprojecttoml the numpy dependency is defined as:
"numpy>=1.22.3",So, I guess the required: false can be dropped?
Just wondering if you have any advice - maybe I am trying to use the library incorrectly.
I am trying to fit and predict on a ~28,000x4 training set of x-values
I followed the advice of a previous issue that required adding surface='direct' - not sure if this is really what I want to do, but it did get rid of the Extrapolation not allowed with blending error. As a point of clarification by having the weights am I blending?
Anyway since this change I now receive svddc failed in l2fit. I followed this trace back to loessf.f line 379 but I can't really understand the code well enough to figure out why that trigger is activating - other than its a problem with SVD. For context here is how I am calling loess:
def fit(x, y, bandwidth):
weights = tricubic_kernel(x, bandwidth)
for i in range(len(y)):
model = loess(x, y, weights[:,i], surface='direct', degree=1.fit()
Similar to what survMisc does for R.
Hi,
I am trying to predict the values in a sequence of days. I have fit my models with a range of days {day: 0 -> day: 50} and I would like to predict the day 51.
When I try to do it, it appears the following error:
ValueError: b'Extrapolation not allowed with blending'
Is there any way to predict using X that it has never seen before?
Thank you in davance
Fedora is preparing for the inclusion of Python 3.12 in Fedora 39, planned to be released at the end of October this year. Currently scikit-misc fails to build with Python 3.12 due to deprecations:
Traceback (most recent call last):
File "/usr/lib/rpm/redhat/pyproject_buildrequires.py", line 508, in main
generate_requires(
File "/usr/lib/rpm/redhat/pyproject_buildrequires.py", line 415, in generate_requires
generate_build_requirements(backend, requirements)
File "/usr/lib/rpm/redhat/pyproject_buildrequires.py", line 265, in generate_build_requirements
new_reqs = get_requires()
^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/setuptools/build_meta.py", line 338, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=['wheel'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/setuptools/build_meta.py", line 320, in _get_build_requires
self.run_setup()
File "/usr/lib/python3.12/site-packages/setuptools/build_meta.py", line 484, in run_setup
self).run_setup(setup_script=setup_script)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/setuptools/build_meta.py", line 335, in run_setup
exec(code, locals())
File "<string>", line 170, in <module>
File "<string>", line 152, in setup_package
File "/builddir/build/BUILD/scikit-misc-0.1.4/versioneer.py", line 1476, in get_version
return get_versions()["version"]
^^^^^^^^^^^^^^
File "/builddir/build/BUILD/scikit-misc-0.1.4/versioneer.py", line 1408, in get_versions
cfg = get_config_from_root(root)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/builddir/build/BUILD/scikit-misc-0.1.4/versioneer.py", line 342, in get_config_from_root
parser = configparser.SafeConfigParser()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'configparser' has no attribute 'SafeConfigParser'. Did you mean: 'RawConfigParser'?More information can be found in the downstream bug report:
I tried running the tests as part of packaging scikit-misc for Fedora. It fails with the following error:
__init__.py:21: in <module>
from skmisc.__config__ import show as show_config # noqa: F401
E ModuleNotFoundError: No module named 'skmisc.__config__'There's an explanation in the exception following the import:
Error importing skmisc: you cannot import skmisc while
being in skmisc source directory; please exit the skmisc source
tree first, and relaunch your python intepreter.
I fail to fully grasp the meaning of the message. My first assertion is that this is not possible in the build environment. Is there any other way of running the tests?
For now I'm doing a simple import test, which should be acceptable to get the package reviewed. However, if possible, I would also like to run the tests.
I'm wondering if it's possible to make the package compactable with Mac M1 Chip. I can pip install the package, but I get the following error I import skmisc.loess:
import skmisc.loess
Traceback (most recent call last):
File "", line 1, in
File "/Users/jingshuw/miniforge3/lib/python3.9/site-packages/skmisc/loess/init.py", line 51, in
from ._loess import (loess, loess_model, loess_inputs, loess_control,
ImportError: dlopen(/Users/jingshuw/miniforge3/lib/python3.9/site-packages/skmisc/loess/_loess.cpython-39-darwin.so, 2): no suitable image found. Did find:
/Users/jingshuw/miniforge3/lib/python3.9/site-packages/skmisc/loess/_loess.cpython-39-darwin.so: mach-o, but wrong architecture
/Users/jingshuw/miniforge3/lib/python3.9/site-packages/skmisc/loess/_loess.cpython-39-darwin.so: mach-o, but wrong architecture
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.