Score:0

Conda Environment

cv flag

I am trying to create an environment using this https://github.com/mbareera/MuSA/blob/master/MuSA.yml file but I am getting error below. I am using conda 22.11.1 version. Can anyone help how I can create environment using this iml file?

ResolvePackageNotFound: 
  - cftime==1.6.2=py39h7deecbd_0
  - mkl_fft==1.3.1=py39hd3c417c_0
  - libevent==2.1.12=h8f2d780_0
  - libcurl==7.88.1=h91b91d3_0
  - packaging==23.0=py39h06a4308_0
  - ca-certificates==2023.01.10=h06a4308_0
  - dill==0.3.6=py39h06a4308_0
  - libthrift==0.15.0=hcc01f38_0
  - libssh2==1.10.0=h8f2d780_0
  - zstd==1.5.2=ha4553b6_0
  - pyqt==5.15.7=py39h6a678d5_1
  - lz4-c==1.9.4=h6a678d5_0
  - qt-main==5.15.2=h327a75a_7
  - python==3.9.16=h7a1cb2a_2
  - aws-c-event-stream==0.1.6=h2531618_5
  - aws-c-common==0.4.57=he6710b0_1
  - cffi==1.15.1=py39h5eee18b_3
  - mkl==2021.4.0=h06a4308_640
  - libxcb==1.15=h7f8727e_0
  - numba==0.56.4=py39h417a72b_0
  - lcms2==2.12=h3be6417_0
  - numpy-base==1.23.5=py39h31eccc5_0
  - re2==2022.04.01=h295c915_0
  - libgomp==11.2.0=h1234567_1
  - netcdf4==1.6.2=py39h89d13dc_0
  - arrow-cpp==10.0.1=py39h613000e_0
  - statsmodels==0.13.5=py39h7deecbd_1
  - gflags==2.2.2=he6710b0_0
  - bottleneck==1.3.5=py39h7deecbd_0
  - certifi==2022.12.7=py39h06a4308_0
  - glog==0.5.0=h2531618_0
  - ncurses==6.4=h6a678d5_0
  - pysocks==1.7.1=py39h06a4308_0
  - libgfortran-ng==11.2.0=h00389a5_1
  - mkl-service==2.4.0=py39h7f8727e_0
  - lerc==3.0=h295c915_0
  - mpi4py==3.1.4=py39hfc96bbd_0
  - grpc-cpp==1.46.1=h33aed49_1
  - libnghttp2==1.46.0=hce63b2e_0
  - hdf4==4.2.13=h3ca952b_2
  - mkl_random==1.2.2=py39h51133e4_0
  - tornado==6.2=py39h5eee18b_0
  - gst-plugins-base==1.14.1=h6a678d5_1
  - fontconfig==2.14.1=h52c9d5c_1
  - libbrotlienc==1.0.9=h5eee18b_7
  - scikit-learn==1.2.1=py39h6a678d5_0
  - ipython==8.10.0=py39h06a4308_0
  - llvmlite==0.39.1=py39he621ea3_0
  - traitlets==5.7.1=py39h06a4308_0
  - libxml2==2.9.14=h74e7548_0
  - ld_impl_linux-64==2.38=h1181459_1
  - freetype==2.12.1=h4a9f257_0
  - icu==58.2=he6710b0_3
  - qt-webengine==5.15.9=hd2b0992_4
  - sqlite==3.41.1=h5eee18b_0
  - jedi==0.18.1=py39h06a4308_1
  - pyarrow==10.0.1=py39h992f0b0_0
  - brotli-bin==1.0.9=h5eee18b_7
  - pyopenssl==23.0.0=py39h06a4308_0
  - libwebp-base==1.2.4=h5eee18b_1
  - libboost==1.73.0=h28710b8_12
  - dbus==1.13.18=hb2f20db_0
  - gstreamer==1.14.1=h5eee18b_1
  - scipy==1.10.0=py39h14f4228_1
  - aws-sdk-cpp==1.8.185=hce553d0_0
  - nspr==4.33=h295c915_0
  - libprotobuf==3.20.3=he621ea3_0
  - qtwebkit==5.212=h4eab89a_4
  - patsy==0.5.3=py39h06a4308_0
  - curl==7.88.1=h5eee18b_0
  - pillow==9.4.0=py39h6a678d5_0
  - brotli==1.0.9=h5eee18b_7
  - libllvm10==10.0.1=hbcb73fb_5
  - giflib==5.2.1=h5eee18b_3
  - multiprocess==0.70.14=py39h06a4308_0
  - urllib3==1.26.14=py39h06a4308_0
  - joblib==1.1.1=py39h06a4308_0
  - wheel==0.38.4=py39h06a4308_0
  - kiwisolver==1.4.4=py39h6a678d5_0
  - matplotlib-base==3.7.1=py39h417a72b_1
  - intel-openmp==2021.4.0=h06a4308_3561
  - prompt-toolkit==3.0.36=py39h06a4308_0
  - hdf5==1.10.6=h3ffc7dd_1
  - libpq==12.9=h16c4e8d_3
  - boost-cpp==1.73.0=h7f8727e_12
  - xz==5.2.10=h5eee18b_1
  - zipp==3.11.0=py39h06a4308_0
  - nss==3.74=h0370c37_0
  - contourpy==1.0.5=py39hdb19cb5_0
  - pytz==2022.7=py39h06a4308_0
  - matplotlib-inline==0.1.6=py39h06a4308_0
  - libbrotlicommon==1.0.9=h5eee18b_7
  - zlib==1.2.13=h5eee18b_0
  - c-ares==1.19.0=h5eee18b_0
  - jpeg==9e=h5eee18b_1
  - orc==1.7.4=hb3bc3d3_1
  - libdeflate==1.17=h5eee18b_0
  - matplotlib==3.7.1=py39h06a4308_1
  - tbb==2021.7.0=hdb19cb5_0
  - libuuid==1.41.5=h5eee18b_0
  - libzip==1.8.0=h5cef20c_0
  - glib==2.69.1=he621ea3_2
  - numexpr==2.8.4=py39he184ba9_0
  - pcre==8.45=h295c915_0
  - bzip2==1.0.8=h7b6447c_0
  - _openmp_mutex==5.1=1_gnu
  - expat==2.4.9=h6a678d5_0
  - abseil-cpp==20211102.0=hd4dd3e8_0
  - libev==4.33=h7f8727e_1
  - brotlipy==0.7.0=py39h27cfd23_1003
  - libxslt==1.1.35=h4e12654_0
  - tk==8.6.12=h1ccaba5_0
  - cryptography==39.0.1=py39h9ce1e76_0
  - pyparsing==3.0.9=py39h06a4308_0
  - libwebp==1.2.4=h11a3e52_1
  - libbrotlidec==1.0.9=h5eee18b_7
  - pyqt5-sip==12.11.0=py39h6a678d5_1
  - openssl==1.1.1t=h7f8727e_0
  - pip==23.0.1=py39h06a4308_0
  - libffi==3.4.2=h6a678d5_6
  - libllvm11==11.1.0=h9e868ea_6
  - libxkbcommon==1.0.1=hfa300c1_0
  - setuptools==65.6.3=py39h06a4308_0
  - numpy==1.23.5=py39h14f4228_0
  - krb5==1.19.4=h568e23c_0
  - libnetcdf==4.8.1=h8322cc2_2
  - libgcc-ng==11.2.0=h1234567_1
  - utf8proc==2.6.1=h27cfd23_0
  - libclang==10.0.1=default_hb85057a_2
  - sip==6.6.2=py39h6a678d5_0
  - idna==3.4=py39h06a4308_0
  - requests==2.28.1=py39h06a4308_1
  - aws-checksums==0.1.9=he6710b0_0
  - libstdcxx-ng==11.2.0=h1234567_1
  - snappy==1.1.9=h295c915_0
  - libpng==1.6.39=h5eee18b_0
  - pandas==1.5.3=py39h417a72b_0
  - libedit==3.1.20221030=h5eee18b_0
  - libgfortran5==11.2.0=h1234567_1
  - ply==3.11=py39h06a4308_0
  - libtiff==4.5.0=h6a678d5_2
  - readline==8.2=h5eee18b_0
ec flag
**Welcome to the Ask Ubuntu community.** Please edit your question to include the version of the Ubuntu OS that you're using, as that will help in diagnosing your issue. That said, based on your question, it's unclear to me how the Ubuntu OS is a factor in contributing to your issue. You might better be served in reviewing [the official Conda documentation for installation on Ubuntu](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html).
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Most people don’t grasp that asking a lot of questions unlocks learning and improves interpersonal bonding. In Alison’s studies, for example, though people could accurately recall how many questions had been asked in their conversations, they didn’t intuit the link between questions and liking. Across four studies, in which participants were engaged in conversations themselves or read transcripts of others’ conversations, people tended not to realize that question asking would influence—or had influenced—the level of amity between the conversationalists.