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'调用失败' #458

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Xxi-GitHub opened this issue Apr 29, 2024 · 8 comments
Open

'调用失败' #458

Xxi-GitHub opened this issue Apr 29, 2024 · 8 comments

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@Xxi-GitHub
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$ perl ../EDTA.pl --genome genome.fa --cds genome.cds.fa --curatedlib ../database/rice7.0.0.liban --exclude genome.exclude.bed --overwrite 1 --sensitive 1 --anno 1 --evaluate 1 --threads 10 > EDTA.test

2024年 04月 29日 星期一 16:53:03 CST EDTA_raw: Check dependencies, prepare working directories.

2024年 04月 29日 星期一 16:53:04 CST Start to find LTR candidates.

2024年 04月 29日 星期一 16:53:04 CST Identify LTR retrotransposon candidates from scratch.

Invalid value for shared scalar at /home/xionglab250/mambaforge/envs/EDTA/share/LTR_retriever/bin/LTR.identifier.pl line 114, line 11.
cp: 对 'genome.fa.mod.retriever.scn.adj' 调用 stat 失败: 没有那个文件或目录
awk: 致命错误:无法打开文件“genome.fa.mod.pass.list”进行读取:没有那个文件或目录
Warning: LOC list - is empty.

Error: Error while loading sequence
Filter sequence based on TEsorter classifications. Unclassified sequences will also be output to the clean file.
Usage: perl cleanup_misclas.pl sequence.fa.rexdb.cls.tsv
Author: Shujun Ou (shujun.ou.1@gmail.com) 10/11/2019

mv: 对 'genome.fa.mod.LTR.intact.fa.ori.dusted.cln.cln' 调用 stat 失败: 没有那个文件或目录
mv: 对 'genome.fa.mod.LTR.intact.fa.ori.dusted.cln.cln.list' 调用 stat 失败: 没有那个文件或目录
cp: 对 'genome.fa.mod.LTR.intact.raw.fa.anno.list' 调用 stat 失败: 没有那个文件或目录
ERROR: No such file or directory at /home/xionglab250/mambaforge/envs/EDTA/share/EDTA/util/output_by_list.pl line 39.

perl filter_gff3.pl file.gff3 file.list > new.gff3

2024年 04月 29日 星期一 16:53:10 CST Warning: The LTR result file has 0 bp!

2024年 04月 29日 星期一 16:53:10 CST Start to find SINE candidates.

2024年 04月 29日 星期一 16:53:38 CST Warning: The SINE result file has 0 bp!

2024年 04月 29日 星期一 16:53:38 CST Start to find LINE candidates.

2024年 04月 29日 星期一 16:53:38 CST Identify LINE retrotransposon candidates from scratch.

2024年 04月 29日 星期一 16:54:38 CST Warning: The LINE result file has 0 bp!

2024年 04月 29日 星期一 16:54:38 CST Start to find TIR candidates.

2024年 04月 29日 星期一 16:54:38 CST Identify TIR candidates from scratch.

Species: others
2024年 04月 29日 星期一 16:55:02 CST Finish finding TIR candidates.

2024年 04月 29日 星期一 16:55:02 CST Start to find Helitron candidates.

2024年 04月 29日 星期一 16:55:02 CST Identify Helitron candidates from scratch.

2024年 04月 29日 星期一 16:55:22 CST Finish finding Helitron candidates.

2024年 04月 29日 星期一 16:55:22 CST Execution of EDTA_raw.pl is finished!

ERROR: Raw LTR results not found in genome.fa.mod.EDTA.raw/genome.fa.mod.LTR.raw.fa and genome.fa.mod.EDTA.raw/genome.fa.mod.LTR.intact.raw.fa
If you believe the program is working properly, this may be caused by the lack of intact LTRs in your genome. Consider to use the --force 1 parameter to overwrite this check
###############################################
Is it work in testdata?Shown lack of LTR,and we got the same error for another species.
Thanks !

@oushujun
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oushujun commented Apr 29, 2024 via email

@Xxi-GitHub
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$ perl ../EDTA.pl --genome genome.fa --cds genome.cds.fa --curatedlib ../database/rice7.0.0.liban --exclude genome.exclude.bed --overwrite 1 --sensitive 1 --anno 1 --evaluate 1 --threads 40 > EDTA.test
2024年 04月 30日 星期二 00:49:45 CST EDTA_raw: Check dependencies, prepare working directories.

2024年 04月 30日 星期二 00:49:46 CST Start to find LTR candidates.

2024年 04月 30日 星期二 00:49:46 CST Identify LTR retrotransposon candidates from scratch.

Warning: LOC list genome.fa.mod.ltrTE.veryfalse is empty.
2024年 04月 30日 星期二 00:49:59 CST Finish finding LTR candidates.

2024年 04月 30日 星期二 00:49:59 CST Start to find SINE candidates.

2024年 04月 30日 星期二 00:50:34 CST Warning: The SINE result file has 0 bp!

2024年 04月 30日 星期二 00:50:34 CST Start to find LINE candidates.

2024年 04月 30日 星期二 00:50:34 CST Identify LINE retrotransposon candidates from scratch.

cp: 无法获取'genome.fa.mod.RM2.raw.fa' 的文件状态(stat): 没有那个文件或目录
2024年 04月 30日 星期二 00:50:34 CST Warning: The LINE result file has 0 bp!

2024年 04月 30日 星期二 00:50:34 CST Start to find TIR candidates.

2024年 04月 30日 星期二 00:50:34 CST Identify TIR candidates from scratch.

Species: others
Traceback (most recent call last):
File "/home/xionglab250/mambaforge/envs/edta/share/EDTA/bin/TIR-Learner3.0/TIR-Learner3.0.py", line 14, in
from bin.main import TIRLearner
File "/home/xionglab250/mambaforge/envs/edta/share/EDTA/bin/TIR-Learner3.0/bin/main.py", line 23, in
import CNN_predict
File "/home/xionglab250/mambaforge/envs/edta/share/EDTA/bin/TIR-Learner3.0/bin/CNN_predict.py", line 16, in
import tensorflow as tf
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/init.py", line 41, in
from tensorflow.python.tools import module_util as _module_util
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/init.py", line 46, in
from tensorflow.python import data
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/init.py", line 25, in
from tensorflow.python.data import experimental
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/experimental/init.py", line 96, in
from tensorflow.python.data.experimental import service
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/experimental/service/init.py", line 140, in
from tensorflow.python.data.experimental.ops.data_service_ops import distribute
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py", line 25, in
from tensorflow.python.data.experimental.ops import compression_ops
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/experimental/ops/compression_ops.py", line 20, in
from tensorflow.python.data.util import structure
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/util/structure.py", line 26, in
from tensorflow.python.data.util import nest
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/data/util/nest.py", line 41, in
from tensorflow.python.framework import sparse_tensor as _sparse_tensor
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/framework/sparse_tensor.py", line 29, in
from tensorflow.python.framework import constant_op
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py", line 29, in
from tensorflow.python.eager import execute
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/eager/execute.py", line 27, in
from tensorflow.python.framework import dtypes
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/tensorflow/python/framework/dtypes.py", line 513, in
np.object,
File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/numpy/init.py", line 324, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module 'numpy' has no attribute 'object'.
np.object was a deprecated alias for the builtin object. To avoid this error in existing code, use object by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Can't open ./TIR-Learner-Result/TIR-Learner_FinalAnn.fa: 没有那个文件或目录 at /home/xionglab250/mambaforge/envs/edta/share/EDTA/util/rename_tirlearner.pl line 19.
Warning: LOC list genome.fa.mod.TIR.ext30.list is empty.

Error: Error while loading sequence
Filter sequence based on TEsorter classifications. Unclassified sequences will also be output to the clean file.
Usage: perl cleanup_misclas.pl sequence.fa.rexdb.cls.tsv
Author: Shujun Ou (shujun.ou.1@gmail.com) 10/11/2019

mv: 无法获取'genome.fa.mod.TIR.ext30.fa.pass.fa.dusted.cln.cln' 的文件状态(stat): 没有那个文件或目录
cp: 无法获取'genome.fa.mod.TIR.ext30.fa.pass.fa.dusted.cln.cln.list' 的文件状态(stat): 没有那个文件或目录
cp: 无法获取'genome.fa.mod.TIR.intact.raw.fa.anno.list' 的文件状态(stat): 没有那个文件或目录
Can't open ./TIR-Learner-Result/TIR-Learner_FinalAnn.gff3: 没有那个文件或目录.
ERROR: No such file or directory at /home/xionglab250/mambaforge/envs/edta/share/EDTA/util/output_by_list.pl line 39.
Warning: The TIR result file has 0 bp!

2024年 04月 30日 星期二 00:50:36 CST Start to find Helitron candidates.

2024年 04月 30日 星期二 00:50:36 CST Identify Helitron candidates from scratch.

2024年 04月 30日 星期二 00:51:01 CST Finish finding Helitron candidates.

2024年 04月 30日 星期二 00:51:01 CST Execution of EDTA_raw.pl is finished!

ERROR: Raw TIR results not found in genome.fa.mod.EDTA.raw/genome.fa.mod.TIR.intact.raw.fa
##################
It sitll got problem after reinstall,,,

@Isoris
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Isoris commented May 1, 2024

You need to provide the environment settings and your list of installed packages otherwise its hard to help

@Xxi-GitHub
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$ conda activate edta
$ conda list

packages in environment at /home/xionglab250/mambaforge/envs/edta:

Name Version Build Channel

_libgcc_mutex 0.1 conda_forge https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
_openmp_mutex 4.5 2_gnu https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
_r-mutex 1.0.0 anacondar_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
_sysroot_linux-64_curr_repodata_hack 3 haa98f57_10 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
_tflow_select 2.3.0 mkl https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
abseil-cpp 20211102.0 hd4dd3e8_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
absl-py 2.1.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aiohttp 3.9.3 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aiosignal 1.2.0 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
annosine2 2.0.7 pyh7cba7a3_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
arrow-cpp 14.0.2 h374c478_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
astor 0.8.1 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
astunparse 1.6.3 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
async-timeout 4.0.3 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
attrs 23.1.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-auth 0.6.19 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-cal 0.5.20 hdbd6064_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-common 0.8.5 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-compression 0.2.16 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-event-stream 0.2.15 h6a678d5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-http 0.6.25 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-io 0.13.10 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-mqtt 0.7.13 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-s3 0.1.51 hdbd6064_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-c-sdkutils 0.1.6 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-checksums 0.1.13 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-crt-cpp 0.18.16 h6a678d5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
aws-sdk-cpp 1.10.55 h721c034_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bedtools 2.31.1 hf5e1c6e_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
binutils_impl_linux-64 2.38 h2a08ee3_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
binutils_linux-64 2.38.0 hc2dff05_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
biopython 1.78 py39h7f8727e_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
blas 1.0 openblas https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
blast 2.15.0 pl5321h6f7f691_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
blinker 1.6.2 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bokeh 3.4.0 py39h2f386ee_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
boost-cpp 1.82.0 hdb19cb5_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bottleneck 1.3.7 py39ha9d4c09_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
brotli 1.0.9 h5eee18b_7 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
brotli-bin 1.0.9 h5eee18b_7 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
brotli-python 1.0.9 py39h6a678d5_7 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bwidget 1.9.16 h9eba36c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bz2file 0.98 py39h06a4308_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bzip2 1.0.8 h5eee18b_5 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
c-ares 1.19.1 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ca-certificates 2024.3.11 h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cachetools 5.3.3 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cairo 1.16.0 hb05425b_5 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cd-hit 4.8.1 h43eeafb_10 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
certifi 2024.2.2 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cffi 1.16.0 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
charset-normalizer 2.0.4 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
click 8.1.7 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cloudpickle 2.2.1 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
contourpy 1.2.0 py39hdb19cb5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
coreutils 8.32 h7b6447c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cryptography 42.0.5 py39hdda0065_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
curl 8.5.0 hdbd6064_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler 0.11.0 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cytoolz 0.12.2 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
dask 2023.11.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
dask-core 2023.11.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
dbus 1.13.18 hb2f20db_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
dill 0.3.7 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
distributed 2023.11.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
drmaa 0.7.9 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
edta 2.2.0 hdfd78af_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
entrez-direct 21.6 he881be0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
expat 2.6.2 h6a678d5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
font-ttf-dejavu-sans-mono 2.37 hd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
font-ttf-inconsolata 2.001 hcb22688_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
font-ttf-source-code-pro 2.030 hd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
font-ttf-ubuntu 0.83 h8b1ccd4_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
fontconfig 2.14.2 h14ed4e7_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
fonts-anaconda 1 h8fa9717_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
fonts-conda-ecosystem 1 hd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
fonttools 4.51.0 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
freetype 2.12.1 h4a9f257_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
fribidi 1.0.10 h7b6447c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
frozenlist 1.4.0 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
fsspec 2023.10.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gast 0.4.0 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gcc_impl_linux-64 11.2.0 h1234567_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gcc_linux-64 11.2.0 h5c386dc_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
genericrepeatfinder 1.0.2 h4ac6f70_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
genometools-genometools 1.6.4 py39h58cc16e_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
gettext 0.21.0 h39681ba_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gflags 2.2.2 h6a678d5_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gfortran_impl_linux-64 11.2.0 h1234567_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gfortran_linux-64 11.2.0 hc2dff05_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
glib 2.78.4 h6a678d5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
glib-tools 2.78.4 h6a678d5_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
glob2 0.7 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
glog 0.5.0 h6a678d5_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-auth 2.6.0 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-auth-oauthlib 0.5.2 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-pasta 0.2.0 pyhd3eb1b0_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
graphite2 1.3.14 h295c915_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
grpc-cpp 1.48.2 he1ff14a_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
grpcio 1.48.2 py39he1ff14a_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gxx_impl_linux-64 11.2.0 h1234567_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gxx_linux-64 11.2.0 hc2dff05_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
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wheel 0.41.2 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
wrapt 1.14.1 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
xopen 0.7.3 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
xorg-kbproto 1.0.7 h7f98852_1002 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libice 1.1.1 hd590300_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libsm 1.2.4 h7391055_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libx11 1.8.9 h8ee46fc_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libxrender 0.9.11 hd590300_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-xproto 7.0.31 h27cfd23_1007 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
xyzservices 2022.9.0 py39h06a4308_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
xz 5.4.6 h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
yaml 0.2.5 h7b6447c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
yarl 1.9.3 py39h5eee18b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zict 3.0.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zipp 3.17.0 py39h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zlib 1.2.13 hd590300_5 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zstd 1.5.5 hc292b87_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
########################################################
That is the conda env edta and its libpackages,we install edta via mamba. Thanks for your help!

@Xxi-GitHub
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Xxi-GitHub commented May 6, 2024 via email

@leezhen1991
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Have you resolved your issue? I encountered a similar problem when running EDTA.

@Isoris
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Isoris commented May 13, 2024

I didn't look in detail and I am not the author of the software however for the Line and repeat modeler I found that the consensus file is created with Line sequences inside of the fasta but it seems that the consensus.fa file in LINE/ is probably not named with $genome prefix so it seems that EDTA can't read it because of its name / path

@Xxi-GitHub
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File "/home/xionglab250/mambaforge/envs/edta/lib/python3.9/site-packages/numpy/init.py", line 324, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module 'numpy' has no attribute 'object'.
np.object was a deprecated alias for the builtin object. To avoid this error in existing code, use object by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

That is part of error reports , it seems that numpy function 'object' did not work...emmmm

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