I'm trying to create a anaconda environment of computer vision project by using environment.yaml installation. But it fails on my computer. It is a huge compatible error. I want to install clean env.
The project https://github.com/zju3dv/NeuralRecon
My computer
Linux 20.04
nvidia-driver 510.47.03
cuda 11.0
cudnn 8.2.1
The environment.yaml
name: neucon
channels:
# You can use the TUNA mirror to speed up the installation if you are in mainland China.
# - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
- pytorch
- defaults
- conda-forge
dependencies:
- python=3.7.9
- pytorch=1.7.0
- torchvision=0.10.0
- cudatoolkit=11.6
- ipython
- tqdm
- numba
- sparsehash # dependency for torchsparse
- pip
- pip:
- -r requirements.txt
- git+https://github.com/mit-han-lab/torchsparse.git
(base) ict-526#:~/NeuralRecon$ conda env create -f environment.yaml
Collecting package metadata (repodata.json): done
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining conflict for numba cudatoolkit torchvision python sparsehash: : 15it [00Examining conflict for cudatoolkit pytorch torchvision: : 15it [00:25, 1.85s/it]
failed
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining conflict for numba cudatoolkit torchvision python sparsehash: : 15it [00Examining conflict for cudatoolkit pytorch torchvision: : 15it [00:26, 1.93s/it]
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package tzdata conflicts for:
pip -> python[version='>=3.7'] -> tzdata
torchvision=0.10.0 -> python[version='>=3.9,<3.10.0a0'] -> tzdata
numba -> python[version='>=3.10,<3.11.0a0'] -> tzdata
tqdm -> python[version='>=2.7'] -> tzdata
ipython -> python[version='>=3.10,<3.11.0a0'] -> tzdata
Package six conflicts for:
ipython -> prompt-toolkit[version='>=2.0.0,<3.1.0,!=3.0.0,!=3.0.1'] -> six[version='>=1.13.0|>=1.9.0']
numba -> singledispatch -> six
Package expat conflicts for:
python=3.7.9 -> pypy3.7=7.3.3 -> expat[version='>=2.2.9,<3.0.0a0']
ipython -> pypy3.7[version='>=7.3.7'] -> expat[version='>=2.2.9,<3.0.0a0|>=2.3.0,<3.0a0|>=2.4.1,<3.0a0']
Package libgcc-ng conflicts for:
python=3.7.9 -> libgcc-ng[version='>=7.3.0|>=9.3.0']
torchvision=0.10.0 -> cudatoolkit[version='>=11.1,<11.2'] -> libgcc-ng[version='>=10.3.0|>=9.3.0|>=9.4.0|>=7.3.0|>=7.2.0|>=4.9|>=8.4.0|>=3.0|>=5.4.0']
ipython -> python[version='>=3.10,<3.11.0a0'] -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0|>=7.2.0']
torchvision=0.10.0 -> libgcc-ng[version='>=7.5.0']
python=3.7.9 -> libffi[version='>=3.3,<3.4.0a0'] -> libgcc-ng[version='>=10.3.0|>=7.5.0|>=9.4.0|>=7.2.0|>=4.9']
pip -> python[version='>=3.7'] -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0|>=7.2.0']
cudatoolkit=11.6 -> libgcc-ng[version='>=9.4.0']
numba -> numpy[version='>=1.21.5,<2.0a0'] -> libgcc-ng[version='>=10.3.0']
pytorch=1.7.0 -> blas=[build=mkl] -> libgcc-ng[version='>=10.3.0|>=7.2.0|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0|>=4.9']
sparsehash -> libgcc-ng[version='>=4.9|>=7.3.0|>=9.3.0']
tqdm -> python[version='>=2.7'] -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0|>=7.2.0']
numba -> libgcc-ng[version='>=4.9|>=7.3.0|>=7.5.0|>=9.4.0|>=9.3.0|>=7.2.0']
Package libnsl conflicts for:
tqdm -> python[version='>=2.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']
ipython -> python[version='>=3.10,<3.11.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']
pip -> python[version='>=3.7'] -> libnsl[version='>=2.0.0,<2.1.0a0']
pytorch=1.7.0 -> python[version='>=3.7,<3.8.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']
torchvision=0.10.0 -> python[version='>=3.9,<3.10.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']
numba -> python[version='>=3.10,<3.11.0a0'] -> libnsl[version='>=2.0.0,<2.1.0a0']
Package typing_extensions conflicts for:
pytorch=1.7.0 -> typing_extensions
torchvision=0.10.0 -> pytorch==1.9.0 -> typing_extensions
ipython -> black -> typing_extensions[version='>=3.10,!=3.10.0.1|>=3.7.4']
Package ca-certificates conflicts for:
tqdm -> python[version='>=2.7'] -> ca-certificates
ipython -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates
numba -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates
pip -> python -> ca-certificates
python=3.7.9 -> openssl[version='>=1.1.1g,<1.1.2a'] -> ca-certificates
Package mkl conflicts for:
pytorch=1.7.0 -> mkl[version='>=2018']
pytorch=1.7.0 -> blas=[build=mkl] -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.1,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.3,<2019.0a0|>=2019.1,<2021.0a0|>=2019.3,<2021.0a0|>=2019.4,<2020.0a0|>=2019.4,<2021.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0']
Package numpy-base conflicts for:
torchvision=0.10.0 -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2',build='py38hfa32c7d_0|py36h75fe3a5_0|py37h75fe3a5_0|py38hfa32c7d_0|py39h0f7b65f_0|py37h34387ca_0|py38h34387ca_0|py39h7d8b39e_0|py38he2ba247_0|py38hfae3a4d_0|py38h74d4b33_0|py38h39b7dee_0|py38h79a1101_0|py39h79a1101_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py38h2b8c604_0|py39h2b8c604_0|py37h2b8c604_0|py39h39b7dee_0|py37h39b7dee_0|py39h74d4b33_0|py37h74d4b33_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38h7d8b39e_0|py39h34387ca_0|py37h7d8b39e_0|py39h2ae0177_0|py36hfa32c7d_0|py36h75fe3a5_0|py38h75fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0|py37hfa32c7d_0']
numba -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.0|1.17.0|1.17.0|1.17.0|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py27h2b20989_6|py37h2b20989_6|py27hdbf6ddf_6|py36hdbf6ddf_7|py35h2b20989_7|py37hdbf6ddf_7|py27h2b20989_7|py36hdbf6ddf_7|py37hdbf6ddf_7|py36hdbf6ddf_8|py37hdbf6ddf_8|py27h2b20989_8|py35hdbf6ddf_8|py35h2b20989_8|py37h7cdd4dd_9|py37h3dfced4_9|py36h3dfced4_9|py36h81de0dd_9|py37h81de0dd_9|py27h74e8950_9|py35h81de0dd_9|py37h74e8950_10|py35h74e8950_10|py27h74e8950_10|py37h81de0dd_10|py35h81de0dd_10|py37h2f8d375_10|py36h2f8d375_10|py27h2f8d375_10|py35h2f8d375_10|py27h2f8d375_12|py36h2f8d375_12|py27hde5b4d6_12|py37hde5b4d6_12|py36hde5b4d6_12|py38hde5b4d6_12|py38h2f8d375_12|py36h0ea5e3f_1|py35h0ea5e3f_1|py27h9be14a7_1|py35h9be14a7_1|py36h2b20989_0|py35h2b20989_0|py36hdbf6ddf_0|py36h2b20989_0|py37h2b20989_1|py27hdbf6ddf_1|py36hdbf6ddf_1|py37hdbf6ddf_1|py27h2b20989_1|py27h2b20989_2|py36h2b20989_2|py27hdbf6ddf_2|py27hdbf6ddf_3|py27h2b20989_4|py27hdbf6ddf_4|py36h2b20989_4|py35h2b20989_4|py35h2f8d375_4|py36h2f8d375_4|py37h81de0dd_4|py36h81de0dd_4|py36h2f8d375_5|py37hde5b4d6_5|py27h7cdd4dd_0|py37h7cdd4dd_0|py35h7cdd4dd_0|py36h3dfced4_0|py35h3dfced4_0|py35h74e8950_0|py27h74e8950_0|py36h74e8950_0|py37h74e8950_0|py36h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h81de0dd_1|py37h2f8d375_0|py37h2f8d375_0|py36h81de0dd_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py36hde5b4d6_0|py37h2f8d375_1|py36hde5b4d6_1|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36hde5b4d6_1|py27hde5b4d6_1|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py37hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py27hde5b4d6_0|py39hfb011de_1|py39h76555f2_1|py39h41b4c56_3|py38h41b4c56_3|py37h41b4c56_3|py36hdc34a94_3|py38hdc34a94_3|py39hdc34a94_3|py37hdc34a94_3|py36h2f8d375_0|py37h2f8d375_0|py38hfa32c7d_0|py36h75fe3a5_0|py37h75fe3a5_0|py38hfa32c7d_0|py39h0f7b65f_0|py37h34387ca_0|py38h34387ca_0|py39h7d8b39e_0|py38he2ba247_0|py38hfae3a4d_0|py38h74d4b33_0|py38h39b7dee_0|py38h79a1101_0|py39h79a1101_0|py37h79a1101_0|py310h2b8c604_0|py310h79a1101_0|py38h2b8c604_0|py39h2b8c604_0|py37h2b8c604_0|py39h39b7dee_0|py37h39b7dee_0|py39h74d4b33_0|py37h74d4b33_0|py39hfae3a4d_0|py37he2ba247_0|py37hfae3a4d_0|py39he2ba247_0|py38h7d8b39e_0|py39h34387ca_0|py37h7d8b39e_0|py39h2ae0177_0|py36hfa32c7d_0|py36h75fe3a5_0|py38h75fe3a5_0|py37hfa32c7d_0|py37h75fe3a5_0|py36hfa32c7d_0|py38h75fe3a5_0|py37hfa32c7d_0|py36hde5b4d6_0|py37hde5b4d6_0|py36h41b4c56_3|py38hde5b4d6_0|py38h2f8d375_0|py36h2f8d375_0|py36hde5b4d6_0|py36hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_1|py36h2f8d375_1|py37h2f8d375_1|py27h2f8d375_1|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py27hde5b4d6_1|py37hde5b4d6_1|py36h2f8d375_1|py27h2f8d375_1|py27h2f8d375_0|py36hde5b4d6_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py36h2f8d375_0|py37h81de0dd_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py27h2f8d375_0|py37h2f8d375_1|py37h81de0dd_1|py27h81de0dd_1|py27h2f8d375_1|py36h2f8d375_1|py36h81de0dd_0|py36h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py27h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py27h81de0dd_0|py36h81de0dd_0|py37h3dfced4_0|py27h3dfced4_0|py36h7cdd4dd_0|py36hde5b4d6_5|py27hde5b4d6_5|py27h2f8d375_5|py37h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py35h81de0dd_4|py27h2f8d375_4|py27h81de0dd_4|py37h2f8d375_4|py35hdbf6ddf_4|py36hdbf6ddf_4|py37hdbf6ddf_4|py37h2b20989_4|py27h2b20989_3|py36hdbf6ddf_3|py37hdbf6ddf_3|py37h2b20989_3|py36h2b20989_3|py36hdbf6ddf_2|py37hdbf6ddf_2|py37h2b20989_2|py36h2b20989_1|py35hdbf6ddf_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py27h2b20989_0|py35hdbf6ddf_0|py27hdbf6ddf_0|py27h2b20989_0|py36h9be14a7_1|py27h0ea5e3f_1|py37h2f8d375_12|py27hde5b4d6_11|py37hde5b4d6_11|py36hde5b4d6_11|py36h2f8d375_11|py27h2f8d375_11|py37h2f8d375_11|py36h81de0dd_10|py27h81de0dd_10|py36h74e8950_10|py27h81de0dd_9|py36h74e8950_9|py37h74e8950_9|py35h74e8950_9|py27h3dfced4_9|py35h3dfced4_9|py27h7cdd4dd_9|py35h7cdd4dd_9|py36h7cdd4dd_9|py27hdbf6ddf_8|py37h2b20989_8|py36h2b20989_8|py27hdbf6ddf_7|py36h2b20989_7|py37h2b20989_7|py37h2b20989_7|py35hdbf6ddf_7|py36h2b20989_7|py27h2b20989_7|py27hdbf6ddf_7|py36hdbf6ddf_6|py37hdbf6ddf_6|py36h2b20989_6']
pytorch=1.7.0 -> numpy[version='>=1.11'] -> 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Package cudatoolkit conflicts for:
cudatoolkit=11.6
torchvision=0.10.0 -> cudatoolkit[version='10.2|10.2.*|11.0|11.0.*|11.1|11.1.*|>=10.2,<10.3|>=11.1,<11.2|>=11.2,<12.0a0']
torchvision=0.10.0 -> cudnn[version='>=8.2.1.32,<9.0a0'] -> cudatoolkit[version='10.0.*|10.0|10.0.*|10.1|10.1.*|10.2.*|11.*|>=11.5,<11.6|>=11.3,<11.4|>=11.2,<12|>=10.1,<10.2|>=11.0,<11.1|>=9.2,<9.3|9.2|9.2.*|>=10.0,<10.1|>=10.1.243,<10.2.0a0|>=9.2,<9.3.0a0|>=10.0.130,<10.1.0a0|9.2.*|>=9.0,<9.1|>=9.0,<9.1.0a0|>=8.0,<8.1|>=8.0,<8.1.0a0|8.*|9.*|9.0.*|8.0.*|7.5.*']
pytorch=1.7.0 -> cudatoolkit[version='>=10.1,<10.2|>=11.0,<11.1|>=10.2,<10.3|>=9.2,<9.3']
Package pytorch conflicts for:
torchvision=0.10.0 -> pytorch==1.9.0
pytorch=1.7.0
torchvision=0.10.0 -> pytorch-gpu -> pytorch[version='1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.0|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.1|1.10.2|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.6.0|1.3.1.*|1.2.0.*|1.10.2|1.10.2|1.10.2|1.10.2|1.10.2|1.10.2|1.10.1|1.10.1|1.10.1|1.9.1|1.9.1|1.9.1|1.9.1|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.9.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.8.0|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.7.1|1.6.0|1.6.0|1.6.0|1.6',build='cpu_py37hf1c21f6_1|cpu_py38h36eccb8_1|cpu_py37hf1c21f6_2|cpu_py37hafa7651_0|cpu_py36h2d15a6b_1|cpu_py36h95c28ec_2|cpu_py37hd5260e0_2|cpu_py38h91ab35c_2|cpu_py39hfbcbfe4_2|cpu_py38h91ab35c_3|cpu_py36h95c28ec_3|cpu_py38h91ab35c_0|cpu_py39hfbcbfe4_0|cpu_py37hd5260e0_0|cpu_py36h3564fbe_1|cpu_py37hff829bd_1|cpu_py39h818de69_1|cpu_py39h818de69_2|cpu_py38h4bbe6ce_2|cpu_py37hf3cc979_3|cpu_py39hc5866cc_3|cpu_py38h1ee18c8_3|cpu_py38hb2150b6_0|cpu_py39h5e9ed0b_0|cpu_py39h5e9ed0b_0|cpu_py38hb2150b6_0|cpu_py38hb2150b6_1|cpu_py37h76afcab_1|cpu_py39h5e9ed0b_1|cuda92py36h7ecc001_1|cuda100py37h50b9e00_1|cuda92py39hde86683_1|cuda101py39h41d04a9_1|cuda92py36h7ecc001_1|cuda102py36h8620ce9_1|cuda100py36hd82b6f9_1|cuda102py37h4d98c68_1|cuda100py37h50b9e00_1|cuda101py38h2499a06_1|cuda92py39hde86683_1|cuda100py39h2b73809_1|cuda101py39h41d04a9_1|cuda102py36hf4eb8d7_0|cuda102py37h4454d97_0|cuda110py37h5fb8b0b_0|cuda110py39hbc72f07_0|cuda112py38h3bc52bc_1|cuda112py39h716d6ff_1|cuda111py36h3cb1cac_1|cuda111py37h50e976f_1|cuda111py39hc274426_1|cuda102py36he3537ca_1|cuda102py38hf03d9dd_1|cuda110py36h768fbb7_1|cuda112py39hbeb36f3_1|cuda112py37hcb91bf2_1|cuda111py36hc5445e6_1|cuda110py37h00edf66_1|cuda102py37h92fd811_1|cuda111py37h78388d7_1|cuda110py39hd6acddb_1|cuda112py38h3d13190_1|cuda112py38h4f2a933_3|cuda112py36h36e649e_3|cuda111py39hb4a4491_3|cuda111py37he371307_3|cuda111py38h2f85826_3|cuda102py36h3d4679f_3|cuda102py37h98b7ee3_3|cuda102py39h2fcd037_3|cuda110py37h4a33b93_3|cuda110py39h5cf7045_3|cuda102py39h2fcd037_0|cuda112py37h3bec1eb_0|cuda111py37he371307_0|cuda111py38h2f85826_0|cuda102py38ha031fbe_0|cuda112py38h4f2a933_0|cuda112py39h4e14dd4_0|cuda111py39hb4a4491_0|cuda112py39h3ad47f5_1|cuda110py38h68479e5_1|cuda111py39h7295ad4_1|cuda102py39h06ffc54_1|cuda112py38h6425f36_0|cuda111py38hc64aeea_0|cuda111py39h930882a_0|cuda110py38hf0a79ac_0|cuda110py37h4121e64_0|cuda112py39h4de5995_0|cuda112py38h6425f36_0|cuda111py39h930882a_0|cuda111py37hc0ce48b_0|cuda110py37h4121e64_1|cuda111py38hc64aeea_1|cuda102py38h9fb240c_1|cuda110py39he47eb21_1|cuda111py39h930882a_1|cuda112py39h4de5995_1|cuda102py39hfe0cb5b_1|cuda112py38h6425f36_1|cuda110py38hf0a79ac_1|cuda112py37hc1ee5ce_1|cuda111py37hc0ce48b_1|cuda102py37hc804c4d_1|cuda102py38h9fb240c_0|cuda102py39hfe0cb5b_0|cuda102py37hc804c4d_0|cuda110py37h4121e64_0|cuda110py39he47eb21_0|cuda110py38hf0a79ac_0|cuda111py38hc64aeea_0|cuda112py37hc1ee5ce_0|cuda110py39he47eb21_0|cuda111py37hc0ce48b_0|cuda112py37hc1ee5ce_0|cuda112py39h4de5995_0|cuda102py39hfe0cb5b_0|cuda102py37hc804c4d_0|cuda102py38h9fb240c_0|cuda102py37h689c94d_1|cuda111py37h07fa5b8_1|cuda110py37h7b7832c_1|cuda110py39h423d6c6_1|cuda111py38h9575ccd_1|cuda102py38h17946ce_1|cuda112py38had345c2_1|cuda112py37haf94430_1|cuda110py39h5cf7045_0|cuda102py37h98b7ee3_0|cuda110py37h4a33b93_0|cuda110py38hf84197b_0|cuda110py38hf84197b_3|cuda110py36he570edd_3|cuda102py38ha031fbe_3|cuda112py37h3bec1eb_3|cuda112py39h4e14dd4_3|cuda111py36h8a2106e_3|cuda112py36h755b813_1|cuda110py38hc2289b8_1|cuda102py39h9bf10ef_1|cuda111py38h5169e65_1|cuda112py37h946b90b_1|cuda112py36h5fea6e2_1|cuda111py39h37e5b68_1|cuda111py38he2736ed_1|cuda110py38h65e529b_0|cuda110py36h7ef7e1d_0|cuda102py39hf89b2ab_0|cuda102py38h540557e_0|cuda102py38h9f8c3ab_1|cuda101py36h42dc283_1|cuda100py38h679e3f5_1|cuda92py38hb6ed0dd_1|cuda102py39h09d0254_1|cuda92py37hc3ec645_1|cuda101py37h7589291_1|cuda102py38h9f8c3ab_1|cuda100py39h2b73809_1|cuda102py39h09d0254_1|cuda100py38h679e3f5_1|cuda101py38h2499a06_1|cuda92py38hb6ed0dd_1|cuda101py37h7589291_1|cuda102py37h4d98c68_1|cuda92py37hc3ec645_1|cuda101py36h42dc283_1|cuda102py36h8620ce9_1|cuda100py36hd82b6f9_1|cpu_py37h76afcab_0|cpu_py37h76afcab_0|cpu_py39hc70245e_1|cpu_py38h7c5583f_1|cpu_py37h2761dfd_1|cpu_py38h1ee18c8_0|cpu_py37hf3cc979_0|cpu_py39hc5866cc_0|cpu_py36ha8b20dc_3|cpu_py37hb06efa0_2|cpu_py36h1c7b8ea_2|cpu_py38hfb3baa6_1|cpu_py36h95c28ec_0|cpu_py39hfbcbfe4_3|cpu_py37hd5260e0_3|cpu_py38hd248515_1|cpu_py39h0fbb4fb_1|cpu_py37ha70c682_1|cpu_py39h0fbb4fb_0|cpu_py38he614459_0|cpu_py36h2ecc29a_0|cpu_py38h36eccb8_2|cpu_py39h714fb45_2|cpu_py36h63cae03_2|cpu_py37hf1c21f6_1|cpu_py36h63cae03_1|cpu_py38h36eccb8_1|cpu_py39h714fb45_1|cpu_py36h63cae03_1']
Package wheel conflicts for:
python=3.7.9 -> pip -> wheel
pip -> wheel
Package certifi conflicts for:
pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
ipython -> setuptools[version='>=18.5'] -> certifi[version='>=2016.09|>=2016.9.26']
numba -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
Package setuptools conflicts for:
numba -> setuptools
ipython -> setuptools[version='>=18.5']
torchvision=0.10.0 -> pytorch -> setuptools[version='<59.6']
ipython -> pygments[version='>=2.4.0'] -> setuptools
python=3.7.9 -> pip -> setuptools
pip -> setuptools
Package _libgcc_mutex conflicts for:
torchvision=0.10.0 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']
numba -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']
python=3.7.9 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']
sparsehash -> libgcc-ng[version='>=9.3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']
cudatoolkit=11.6 -> libgcc-ng[version='>=9.4.0'] -> _libgcc_mutex==0.1=conda_forge
Package pip conflicts for:
pytorch=1.7.0 -> python[version='>=3.7,<3.8.0a0'] -> pip
pip
python=3.7.9 -> pip
numba -> python[version='>=3.10,<3.11.0a0'] -> pip
torchvision=0.10.0 -> python[version='>=3.9,<3.10.0a0'] -> pip
ipython -> python[version='>=3.10,<3.11.0a0'] -> pip
tqdm -> python[version='>=2.7'] -> pip
Package _openmp_mutex conflicts for:
numba -> _openmp_mutex[version='>=4.5']
sparsehash -> libgcc-ng[version='>=9.3.0'] -> _openmp_mutex[version='>=4.5']
pytorch=1.7.0 -> blas=[build=mkl] -> _openmp_mutex[version='*|>=4.5',build=*_llvm]
python=3.7.9 -> libgcc-ng[version='>=7.3.0'] -> _openmp_mutex[version='>=4.5']
cudatoolkit=11.6 -> libgcc-ng[version='>=9.4.0'] -> _openmp_mutex[version='>=4.5']
torchvision=0.10.0 -> pytorch==1.9.0 -> _openmp_mutex[version='>=4.5']
Package blas conflicts for:
pytorch=1.7.0 -> blas=[build=mkl]
pytorch=1.7.0 -> numpy[version='>=1.11'] -> blas[version='*|1.0|1.1|1.0',build='openblas|mkl|openblas|openblas']
Package pypy3.6 conflicts for:
ipython -> jedi[version='>=0.16'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.2']
ipython -> pypy3.6[version='>=7.3.1|>=7.3.3']
Package openblas conflicts for:
numba -> numpy[version='>=1.11.3,<2.0a0'] -> openblas[version='0.2.18.*|0.2.18|0.2.18.*|0.2.19|0.2.19.*|0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0|>=0.2.15']
pytorch=1.7.0 -> numpy[version='>=1.11'] -> openblas[version='0.2.18.*|0.2.18|0.2.18.*|0.2.19|0.2.19.*|0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0|>=0.2.15']The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- cudatoolkit=11.6 -> __glibc[version='>=2.17,<3.0.a0']
- numba -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']
- python=3.7.9 -> libgcc-ng[version='>=7.3.0'] -> __glibc[version='>=2.17']
- pytorch=1.7.0 -> cudatoolkit[version='>=11.0,<11.1'] -> __glibc[version='>=2.17,<3.0.a0']
- sparsehash -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
- torchvision=0.10.0 -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
Your installed version is: 2.31
You seem to have made manual changes to the environment.yaml that is provided in the git that you linked. From the github (your changes highlighted):
name: neucon
channels:
# You can use the TUNA mirror to speed up the installation if you are in mainland China.
# - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
- pytorch
- defaults
- conda-forge
dependencies:
- python=3.7.9
- pytorch=1.6.0 #Changed by you
- torchvision=0.7.0 #Changed by you
- cudatoolkit=10.2 #Changed by you
- ipython
- tqdm
- numba
- sparsehash # dependency for torchsparse
- pip
- pip:
- -r requirements.txt
- git+https://github.com/mit-han-lab/torchsparse.git
There is no guarantee that the file should be solvable with your manual changes and we see in your output that they are causing problems:
E.g.:
torchvision=0.10.0 -> cudatoolkit[version='>=11.1,<11.2']
torchvision=0.10.0 -> python[version='>=3.9,<3.10.0a0']
Simply use the recommended environment file which works just fine.
Related
I need to run the following command:
poetry self add "poetry-dynamic-versioning[plugin]"
The process starts but then stalls as follows:
Using version ^0.21.1 for poetry-dynamic-versioning
Updating dependencies
Resolving dependencies... (0.5s)
Package operations: 2 installs, 17 updates, 0 removals
• Updating certifi (2022.6.15 -> 2022.9.24): Pending...
• Updating charset-normalizer (2.1.0 -> 2.1.1): Pending...
• Updating idna (3.3 -> 3.4): Pending...
• Updating more-itertools (9.0.0 -> 8.14.0): Pending...
• Updating urllib3 (1.26.10 -> 1.26.12): Pending...
• Updating zipp (3.8.1 -> 3.9.0)
I don't really know what this command does but I need to run it and I have no idea why is it stalling.
I am using MacOS Ventura 13.0 and usig oh-my-zsh
I'm trying to install a software called WisecondorX for genetic analysis in Ubuntu 18.04. I type the line below:
conda install wisecondorx
And get the following output:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining backports.functools_lru_cache: 59%|▌| 104/176 [00:00<00:00,
45709.69iExamining tk: 60%|██████████████▎ | 105/176 [00:00<00:00, 45751.29it/s]failed >
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- wisecondorx -> python[version='2.7.*|>=2.7,<2.8.0a0']
Your python: python=3.6
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with each other:
Package bioconductor-dnacopy conflicts for:
wisecondorx -> bioconductor-dnacopy
Package openssl conflicts for:
python=3.6 -> openssl[version='1.0.*|1.0.*,>=1.0.2l,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1a,<1.1.2a|>=1.1.1c,<1.1.2a']
Package scikit-learn conflicts for:
wisecondorx -> scikit-learn
Package numpy conflicts for:
wisecondorx -> numpy
Package tk conflicts for:
python=3.6 -> tk[version='8.5.*|8.6.*|>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0|>=8.6.9,<8.7.0a0']
Package zlib conflicts for:
python=3.6 -> zlib[version='1.2.*|1.2.11|1.2.8|>=1.2.11,<1.3.0a0']
Package scipy conflicts for:
wisecondorx -> scipy
Package pip conflicts for:
python=3.6 -> pip
Package readline conflicts for:
python=3.6 -> readline[version='6.2.*|7.*|7.0|>=7.0,<8.0a0|>=8.0,<9.0a0']
Package r-png conflicts for:
wisecondorx -> r-png
Package libstdcxx-ng conflicts for:
python=3.6 -> libstdcxx-ng[version='>=4.9|>=7.2.0|>=7.3.0']
Package futures conflicts for:
wisecondorx -> futures
Package libffi conflicts for:
python=3.6 -> libffi[version='3.2.*|>=3.2.1,<3.3.0a0|>=3.2.1,<4.0a0']
Package xz conflicts for:
python=3.6 -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.3,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.4,<6.0a0']
Package libgcc-ng conflicts for:
python=3.6 -> libgcc-ng[version='>=4.9|>=7.2.0|>=7.3.0']
Package pysam conflicts for:
wisecondorx -> pysam
Package ncurses conflicts for:
python=3.6 -> ncurses[version='5.9|5.9.*|6.0.*|>=6.0,<7.0a0|>=6.1,<6.2.0a0|>=6.1,<7.0a0']
Package bzip2 conflicts for:
python=3.6 -> bzip2[version='>=1.0.6,<2.0a0']
Package sqlite conflicts for:
python=3.6 -> sqlite[version='3.13.*|3.20.*|>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.24.0,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0']
Package r-jsonlite conflicts for:
wisecondorx -> r-jsonlite[version='>=1.5']
Any clue of how to solve it?
Hey I just bumped into this problem. I was able to get around this using the following:
# Create an env, and activate it
$ conda create --name test python=3.6
$ conda activate test
# Clone and jump into the WisecondorX repo (assumping you already have an ssh key added to your github account)
$ git clone git#github.com:CenterForMedicalGeneticsGhent/WisecondorX.git
$ cd WisecondorX
# Use your environment's python to install the required python packages (Note you will have to install the R dependencies separately using conda).
$ which python
~/.conda/envs/test/bin/python
python setup.py install
# Check to see if WisecondorX has been installed in the test env
$ which WisecondorX
~/.conda/envs/test/bin/WisecondorX
$ WisecondorX newref --help
usage: WisecondorX newref [-h] [--nipt] [--yfrac YFRAC] [--refsize REFSIZE]
[--binsize BINSIZE] [--cpus CPUS]
infiles [infiles ...] outfile
Create a new reference using healthy reference samples
positional arguments:
infiles Path to all reference data files (e.g.
path/to/reference/*.npz)
outfile Path and filename for the reference output (e.g.
path/to/myref.npz)
optional arguments:
-h, --help show this help message and exit
--nipt Use flag for NIPT (e.g. path/to/reference/*.npz)
(default: False)
--yfrac YFRAC Use to manually set the y read fraction cutoff, which
defines gender (default: None)
--refsize REFSIZE Amount of reference locations per target (default: 300)
--binsize BINSIZE Scale samples to this binsize, multiples of existing
binsize only (default: 100000.0)
--cpus CPUS Use multiple cores to find reference bins (default: 1)
Tight lines!
I did not use conda as I find managing multi environment python versions easier with pyenv.
I downloaded the package and compiled it in a virtualized python environment(3.8). I again manually compiled the R package in the same virtualized setting.
I am trying to do this command to install a package:
conda install -c eumetsat ropp-eum
However it returns the following errors:
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Package sqlite conflicts for:
python=2.7 -> sqlite[version='3.13.*|>=3.20.1,<4.0a0|>=3.22.0,<4.0a0|>=3.23.1,<4.0a0|>=3.25.2,<4.0a0|>=3.25.3,<4.0a0|>=3.27.2,<4.0a0|>=3.29.0,<4.0a0']
Package libnetcdf conflicts for:
ropp-eum -> libnetcdf[version='4.4.1.1.*|4.6.1.*,>=4.6.1,<5.0a0|4.6.2.*,>=4.6.2,<5.0a0']
Package pip conflicts for:
python=2.7 -> pip
Package libstdcxx-ng conflicts for:
ropp-eum -> libstdcxx-ng[version='>=7.3.0']
python=2.7 -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']
Package git conflicts for:
ropp-eum -> git
Package libnetcdf-cxx4 conflicts for:
ropp-eum -> libnetcdf-cxx4[version='4.3.*|4.3.0|<=4.3.0']
Package tk conflicts for:
python=2.7 -> tk[version='8.5.*|8.6.*|>=8.6.7,<8.7.0a0|>=8.6.8,<8.7.0a0']
Package libgfortran-ng conflicts for:
ropp-eum -> libgfortran-ng[version='>=7,<8.0a0']
Package netcdf-fortran conflicts for:
ropp-eum -> netcdf-fortran[version='4.4.4.*|4.5.1.*']
Package libnetcdf-c conflicts for:
ropp-eum -> libnetcdf-c[version='4.4.*|4.4.1|<=4.4.1|<=4.4.1.1']
Package eccodes conflicts for:
ropp-eum -> eccodes[version='>=2.8.2']
Package ncurses conflicts for:
python=2.7 -> ncurses[version='5.9.*|6.0.*|>=6.0,<7.0a0|>=6.1,<7.0a0']
Package ca-certificates conflicts for:
python=2.7 -> ca-certificates
Package libgcc-ng conflicts for:
ropp-eum -> libgcc-ng[version='>=7.3.0']
python=2.7 -> libgcc-ng[version='>=7.2.0|>=7.3.0']
Package libffi conflicts for:
python=2.7 -> libffi[version='3.2.*|>=3.2.1,<4.0a0']
Package readline conflicts for:
python=2.7 -> readline[version='7.*|>=7.0,<8.0a0']
Package ecmwf-grib-api conflicts for:
ropp-eum -> ecmwf-grib-api[version='1.16.0|1.23.*']
Package bufrdc conflicts for:
ropp-eum -> bufrdc[version='000405|<=000409|>=000409']
Package hdf5 conflicts for:
ropp-eum -> hdf5[version='1.8.15.*|1.8.15.1']
Package netcdf-cxx4 conflicts for:
ropp-eum -> netcdf-cxx4=4.3.0
Package zlib conflicts for:
ropp-eum -> zlib[version='1.2.*,>=1.2.11,<1.3.0a0|1.2.*|1.2.8']
python=2.7 -> zlib[version='1.2.*|>=1.2.11,<1.3.0a0']
Package openssl conflicts for:
python=2.7 -> openssl[version='1.0.*|1.0.*,>=1.0.2l,<1.0.3a|>=1.0.2m,<1.0.3a|>=1.0.2n,<1.0.3a|>=1.0.2o,<1.0.3a|>=1.0.2p,<1.0.3a|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a']
Package ecmwf-eccodes conflicts for:
ropp-eum -> ecmwf-eccodes[version='2.7.*|2.8.*|>=2.8.2']
Package libnetcdf-fortran conflicts for:
ropp-eum -> libnetcdf-fortran[version='4.4.*|4.4.4|<=4.4.4']
Which is really weird since some of them only concern python or ropp-eum and there are no interactions in their specifications, and some of the things that are supposedly conflicting do not look like they actually conflict.
I have tried both reinstalling anaconda3 and moving to anaconda2 and both give the same error. I even tried installing all the packages with versions that were listed as correct and I still got the same error.
I am using this on an aws server which runs on linux
Is this a problem on my side or the package side?
I tried to install GraphLab Create, so I created a new Anaconda environment, but it shows missing dependencies. I have no idea on how to remove it.
Terminal:
C:\Users\PC>conda create -n gl-env python=2.7 anaconda=4.0.0
The following error is raised:
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ......
Solving package specifications: .
Error: Dependencies missing in current win-64 channels:
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py27_0 -> blas * mkl
You can search for this package on anaconda.org with
anaconda search -t conda blas * mkl
I tried to type, this but the following happens
[Anaconda2] C:\Users\PC>anaconda search -t conda blas * mkl
usage: anaconda-script.py [-h] [--show-traceback] [--hide-traceback] [-v] [-q]
[--color] [--no-color] [-V] [-t TOKEN] [-s SITE]
...
anaconda-script.py: error: unrecognized arguments: * mkl
What should I do?
run command "conda update conda" , this will update the package manager then run your command again. I was facing the same issue and this solved it for me.
I use symfony 2.7.5-dev and install FOSRestBundle and JMSSerilizerBundle on it that installed version FOSRestBundle and JMSSerializerbundle is dev-master.
my `composer.json:
"minimum-stability": "dev",
...
"require": {
"php": ">=5.3.9",
"symfony/symfony": "2.7.*",
...
"friendsofsymfony/rest-bundle": "^2.0#dev",
"jms/serializer-bundle": "^1.1#dev",
...
I try install bundle by composer require friendsofsymfony/comment-bundle command, i add "minimum-stability": "dev" to composer.json, but that can not install and raise this errors:
Problem 1
- friendsofsymfony/comment-bundle v2.0.7 requires jms/serializer-bundle ~0.11 -> no matching package found.
- friendsofsymfony/comment-bundle v2.0.6 requires jms/serializer-bundle ~0.11 -> no matching package found.
- friendsofsymfony/comment-bundle v2.0.5 requires friendsofsymfony/rest-bundle >=0.11,<0.13-dev -> no matching package found.
- friendsofsymfony/comment-bundle v2.0.4 requires friendsofsymfony/rest-bundle 0.11.*#dev -> no matching package found.
- friendsofsymfony/comment-bundle 2.0.x-dev requires jms/serializer-bundle ~0.11 -> no matching package found.
- friendsofsymfony/comment-bundle v2.0.0 requires symfony/symfony 2.1.* -> satisfiable by symfony/symfony[2.1.x-dev].
- friendsofsymfony/comment-bundle v2.0.1 requires symfony/symfony 2.1.* -> satisfiable by symfony/symfony[2.1.x-dev].
- friendsofsymfony/comment-bundle v2.0.2 requires symfony/symfony 2.1.*#stable -> satisfiable by symfony/symfony[2.1.x-dev].
- friendsofsymfony/comment-bundle v2.0.3 requires symfony/symfony 2.1.*#stable -> satisfiable by symfony/symfony[2.1.x-dev].
- Conclusion: don't install symfony/symfony 2.1.x-dev
- Installation request for friendsofsymfony/comment-bundle ^2.0#dev -> satisfiable by friendsofsymfony/comment-bundle[2.0.x-dev, v2.0.0, v2.0.1, v2.0.2, v2.0.3, v2.0.4, v2.0.5, v2.0.6, v2.0.7].
Potential causes:
- A typo in the package name
- The package is not available in a stable-enough version according to your minimum-stability setting
see <https://groups.google.com/d/topic/composer-dev/_g3ASeIFlrc/discussion> for more details.
Read <https://getcomposer.org/doc/articles/troubleshooting.md> for further common problems.
Installation failed, reverting ./composer.json to its original content.
I could install FOSCommentBundle by forking of repository & change depedencies (FOSRestBundle & JMSSerializerBundle) version to latest version.
I need change a few code in ThreadController, RouteRedirectView class is removed in new version of FOSRestBundle and we instead of this class must use createRouteRedirect method of View class.
My repository on github