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张老师,
您好!非常感谢您提供如此优秀的R包。
我在安装的时候,按照如下代码:
renv::init(project = "/Users/ellen/Library/R/arm64/SCP_env", bare = TRUE, restart = TRUE)
renv::activate(project = "/Users/ellen/Library/R/arm64/SCP_env")
renv::install("BiocManager")
renv::install("zhanghao-njmu/SCP", repos = BiocManager::repositories())
SCP::PrepareEnv()
library(reticulate)。
安装SCP都是顺利的,但是在PrepareEnv()就开始有问题,
**首先是出现这样的问题1:**Error in check_Python(packages = packages, envname = envname, conda = conda, :
Failed to install the package(s): leidenalg==0.10.1,matplotlib==3.6.3,numba==0.55.2,numpy==1.21.6,palantir==1.0.1,pandas==1.3.5,python-igraph==0.10.2,scanpy==1.9.5,scikit-learn==1.3.2,scipy==1.10.1,scvelo==0.2.5,wot==1.0.8.post2,trimap==1.1.4,pacmap==0.7.0,phate==1.0.11,bbknn==1.6.0,scanorama==1.7.4,scvi-tools==0.20.3 into the environment "SCP_env". Please install manually。
解决办法:通过手动安装顺利解决问题1。
**顺利进行后,又出现了问题2:**ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fcsparser 0.2.8 requires pandas>=1.5.3, but you have pandas 1.3.5 which is incompatible.
解决办法:试着把fcsparser降为0.2.7。但不确定是否影响。因为后续没有提示过错误。
**最后出现了怎么都没办法解决的问题3:**如图,只要运行PrepareEnv(),就会直接崩溃。
麻烦张老师帮忙看看,具体问题出在哪里。谢谢!
以下是python安装的包版本:
Package Version
张老师,
您好!非常感谢您提供如此优秀的R包。
我在安装的时候,按照如下代码:
renv::init(project = "/Users/ellen/Library/R/arm64/SCP_env", bare = TRUE, restart = TRUE)
renv::activate(project = "/Users/ellen/Library/R/arm64/SCP_env")
renv::install("BiocManager")
renv::install("zhanghao-njmu/SCP", repos = BiocManager::repositories())
SCP::PrepareEnv()
library(reticulate)。
安装SCP都是顺利的,但是在PrepareEnv()就开始有问题,
**首先是出现这样的问题1:**Error in check_Python(packages = packages, envname = envname, conda = conda, :
Failed to install the package(s): leidenalg==0.10.1,matplotlib==3.6.3,numba==0.55.2,numpy==1.21.6,palantir==1.0.1,pandas==1.3.5,python-igraph==0.10.2,scanpy==1.9.5,scikit-learn==1.3.2,scipy==1.10.1,scvelo==0.2.5,wot==1.0.8.post2,trimap==1.1.4,pacmap==0.7.0,phate==1.0.11,bbknn==1.6.0,scanorama==1.7.4,scvi-tools==0.20.3 into the environment "SCP_env". Please install manually。
解决办法:通过手动安装顺利解决问题1。
**顺利进行后,又出现了问题2:**ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fcsparser 0.2.8 requires pandas>=1.5.3, but you have pandas 1.3.5 which is incompatible.
解决办法:试着把fcsparser降为0.2.7。但不确定是否影响。因为后续没有提示过错误。
**最后出现了怎么都没办法解决的问题3:**如图,只要运行PrepareEnv(),就会直接崩溃。
麻烦张老师帮忙看看,具体问题出在哪里。谢谢!
以下是python安装的包版本:
Package Version
absl-py 2.1.0
aiohappyeyeballs 2.4.0
aiohttp 3.10.5
aiosignal 1.3.1
anndata 0.9.2
annoy 1.17.3
async-timeout 4.0.3
attrs 24.2.0
backports.zoneinfo 0.2.1
bbknn 1.6.0
cached-property 1.5.2
chex 0.1.7
click 8.1.7
cmake 3.30.3
contextlib2 21.6.0
contourpy 1.1.1
cycler 0.12.1
Cython 3.0.11
decorator 5.1.1
Deprecated 1.2.14
dm-tree 0.1.8
docrep 0.3.2
et-xmlfile 1.1.0
etils 1.3.0
fbpca 1.0
fcsparser 0.2.7
filelock 3.16.0
flax 0.7.2
fonttools 4.53.1
frozenlist 1.4.1
fsspec 2024.9.0
future 1.0.0
geosketch 1.2
graphtools 1.5.3
h5py 3.11.0
idna 3.8
igraph 0.10.2
importlib_metadata 8.4.0
importlib_resources 6.4.5
intervaltree 3.1.0
jax 0.4.13
jaxlib 0.4.13
Jinja2 3.1.4
joblib 1.4.2
kiwisolver 1.4.7
leidenalg 0.10.1
lightning-utilities 0.11.7
llvmlite 0.38.1
loompy 3.0.7
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.6.3
mdurl 0.1.2
ml_collections 0.1.1
ml-dtypes 0.2.0
mpmath 1.3.0
msgpack 1.0.8
mudata 0.2.3
multidict 6.0.5
multipledispatch 1.0.0
natsort 8.4.0
nest-asyncio 1.6.0
networkx 3.1
numba 0.55.2
numexpr 2.8.4
numpy 1.21.6
numpy_groupies 0.9.22
numpyro 0.12.1
openpyxl 3.1.5
opt-einsum 3.3.0
optax 0.1.8
orbax-checkpoint 0.2.3
packaging 24.1
pacmap 0.7.0
palantir 1.0.1
pandas 1.3.5
patsy 0.5.6
phate 1.0.11
PhenoGraph 1.5.7
pillow 10.4.0
pip 24.2
POT 0.9.4
psutil 6.0.0
py-cpuinfo 9.0.0
Pygments 2.18.0
PyGSP 0.5.1
pynndescent 0.5.13
pyparsing 3.1.4
pyro-api 0.1.2
pyro-ppl 1.9.1
python-dateutil 2.9.0.post0
python-igraph 0.10.2
pytorch-lightning 1.9.5
pytz 2024.1
PyYAML 6.0.2
rich 13.8.0
s_gd2 1.8.1
scanorama 1.7.4
scanpy 1.9.5
scikit-learn 1.3.2
scipy 1.10.1
scprep 1.2.3
scvelo 0.2.5
scvi-tools 0.20.3
seaborn 0.13.2
session_info 1.0.0
setuptools 73.0.1
six 1.16.0
sortedcontainers 2.4.0
statsmodels 0.14.1
stdlib-list 0.10.0
sympy 1.13.2
tables 3.8.0
tasklogger 1.2.0
tensorstore 0.1.45
texttable 1.7.0
threadpoolctl 3.5.0
toolz 0.12.1
torch 2.4.1
torchmetrics 1.4.1
tqdm 4.66.5
trimap 1.1.4
typing_extensions 4.12.2
tzdata 2024.1
tzlocal 5.2
umap-learn 0.5.6
wheel 0.44.0
wot 1.0.8.post2
wrapt 1.16.0
yarl 1.11.0
zipp 3.20.1
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