<\/p>\n
\r\n(base) C:\\Users\\andreas>conda env remove --name compvis \r\n<\/pre>\n<\/p>\n
\r\n(base) C:\\Users\\andreas>conda create --name compvis python=3.7\r\n<\/pre>\n<\/p>\n
\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis\r\n\r\n added \/ updated specs:\r\n - python=3.7\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n python-3.7.7 |h60c2a47_0_cpython 14.8 MB\r\n ------------------------------------------------------------\r\n Total: 14.8 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n ca-certificates pkgs\/main\/win-64::ca-certificates-2020.1.1-0\r\n certifi pkgs\/main\/win-64::certifi-2019.11.28-py37_1\r\n openssl pkgs\/main\/win-64::openssl-1.1.1e-he774522_0\r\n pip pkgs\/main\/win-64::pip-20.0.2-py37_1\r\n python pkgs\/main\/win-64::python-3.7.7-h60c2a47_0_cpython\r\n setuptools pkgs\/main\/win-64::setuptools-46.1.3-py37_0\r\n sqlite pkgs\/main\/win-64::sqlite-3.31.1-he774522_0\r\n vc pkgs\/main\/win-64::vc-14.1-h0510ff6_4\r\n vs2015_runtime pkgs\/main\/win-64::vs2015_runtime-14.16.27012-hf0eaf9b_1\r\n wheel pkgs\/main\/win-64::wheel-0.34.2-py37_0\r\n wincertstore pkgs\/main\/win-64::wincertstore-0.2-py37_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\npython-3.7.7 | 14.8 MB | ############################################################################ | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n#\r\n# To activate this environment, use\r\n#\r\n# $ conda activate compvis\r\n#\r\n# To deactivate an active environment, use\r\n#\r\n# $ conda deactivate\r\n<\/pre>\n<\/p>\n
\r\n(base) C:\\Users\\andreas>conda activate compvis\r\n(compvis) C:\\Users\\andreas>conda install -c conda-forge jupyter scikit-learn scikit-image matplotlib ipywidgets tqdm keras notebook seaborn pandas opencv\r\n<\/pre>\n<\/p>\n
\r\n\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis\r\n\r\n added \/ updated specs:\r\n - ipywidgets\r\n - jupyter\r\n - keras\r\n - matplotlib\r\n - notebook\r\n - scikit-image\r\n - scikit-learn\r\n - tqdm\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n _tflow_select-2.2.0 | eigen 3 KB\r\n absl-py-0.9.0 | py37hc8dfbb8_1 162 KB conda-forge\r\n bleach-3.1.4 | pyh9f0ad1d_0 111 KB conda-forge\r\n blinker-1.4 | py_1 13 KB conda-forge\r\n cachetools-3.1.1 | py_0 11 KB conda-forge\r\n certifi-2019.11.28 | py37hc8dfbb8_1 149 KB conda-forge\r\n cffi-1.14.0 | py37ha419a9e_0 222 KB conda-forge\r\n chardet-3.0.4 |py37hc8dfbb8_1006 189 KB conda-forge\r\n click-7.1.1 | pyh8c360ce_0 64 KB conda-forge\r\n cryptography-2.8 | py37hb32ad35_1 564 KB conda-forge\r\n cytoolz-0.10.1 | py37hfa6e2cd_0 336 KB conda-forge\r\n dask-core-2.13.0 | py_0 596 KB conda-forge\r\n entrypoints-0.3 |py37hc8dfbb8_1001 12 KB conda-forge\r\n freetype-2.10.1 | ha9979f8_0 481 KB conda-forge\r\n gast-0.2.2 | py_0 10 KB conda-forge\r\n google-auth-1.12.0 | pyh9f0ad1d_0 52 KB conda-forge\r\n google-auth-oauthlib-0.4.1 | py_2 18 KB conda-forge\r\n google-pasta-0.2.0 | pyh8c360ce_0 42 KB conda-forge\r\n grpcio-1.27.2 | py37h351948d_0 1.2 MB\r\n h5py-2.10.0 |nompi_py37h422b98e_102 950 KB conda-forge\r\n idna-2.9 | py_1 52 KB conda-forge\r\n importlib-metadata-1.6.0 | py37hc8dfbb8_0 42 KB conda-forge\r\n importlib_metadata-1.6.0 | 0 3 KB conda-forge\r\n ipykernel-5.2.0 | py37h5ca1d4c_1 161 KB conda-forge\r\n ipython-7.13.0 | py37hc8dfbb8_2 1.1 MB conda-forge\r\n jedi-0.16.0 | py37hc8dfbb8_1 772 KB conda-forge\r\n jsonschema-3.2.0 | py37hc8dfbb8_1 108 KB conda-forge\r\n jupyter_client-6.1.2 | py_0 74 KB conda-forge\r\n jupyter_console-6.1.0 | py_1 21 KB conda-forge\r\n jupyter_core-4.6.3 | py37hc8dfbb8_1 94 KB conda-forge\r\n keras-2.3.1 | py37h21ff451_0 591 KB conda-forge\r\n kiwisolver-1.1.0 | py37heaa310e_1 61 KB conda-forge\r\n libpng-1.6.37 | hfe6a214_1 1.4 MB conda-forge\r\n libtiff-4.1.0 | h885aae3_6 1020 KB conda-forge\r\n markupsafe-1.1.1 | py37h8055547_1 28 KB conda-forge\r\n matplotlib-3.2.1 | 0 6 KB conda-forge\r\n matplotlib-base-3.2.1 | py37h911224e_0 7.1 MB conda-forge\r\n mistune-0.8.4 |py37hfa6e2cd_1000 53 KB conda-forge\r\n mkl-service-2.3.0 | py37hb782905_0 210 KB\r\n nbconvert-5.6.1 | py37_0 506 KB conda-forge\r\n notebook-6.0.3 | py37_0 7.7 MB conda-forge\r\n numpy-1.18.1 | py37h90d3380_1 4.7 MB conda-forge\r\n oauthlib-3.0.1 | py_0 82 KB conda-forge\r\n opt_einsum-3.2.0 | py_0 49 KB conda-forge\r\n pickleshare-0.7.5 |py37hc8dfbb8_1001 12 KB conda-forge\r\n pillow-7.0.0 | py37h91e7a8d_1 700 KB conda-forge\r\n prompt-toolkit-3.0.5 | py_0 232 KB conda-forge\r\n prompt_toolkit-3.0.5 | 0 4 KB conda-forge\r\n protobuf-3.11.4 | py37he025d50_0 583 KB conda-forge\r\n pyasn1-0.4.8 | py_0 53 KB conda-forge\r\n pyasn1-modules-0.2.7 | py_0 60 KB conda-forge\r\n pycparser-2.20 | py_0 89 KB conda-forge\r\n pygpu-0.7.6 |py37hc8d92b1_1000 600 KB conda-forge\r\n pyjwt-1.7.1 | py_0 17 KB conda-forge\r\n pyopenssl-19.1.0 | py_1 47 KB conda-forge\r\n pyqt-5.12.3 | py37h6538335_1 4.7 MB conda-forge\r\n pyreadline-2.1 | py37_1001 141 KB conda-forge\r\n pyrsistent-0.16.0 | py37h8055547_0 91 KB conda-forge\r\n pysocks-1.7.1 | py37hc8dfbb8_1 27 KB conda-forge\r\n python_abi-3.7 | 1_cp37m 4 KB conda-forge\r\n pywavelets-1.1.1 | py37hc8d92b1_0 4.3 MB conda-forge\r\n pywin32-227 | py37hfa6e2cd_0 7.0 MB conda-forge\r\n pywinpty-0.5.7 | py37_0 48 KB conda-forge\r\n pyyaml-5.3.1 | py37h8055547_0 155 KB conda-forge\r\n pyzmq-19.0.0 | py37h8c16cda_1 428 KB conda-forge\r\n qtconsole-4.7.2 | pyh9f0ad1d_0 87 KB conda-forge\r\n requests-2.23.0 | pyh8c360ce_2 47 KB conda-forge\r\n requests-oauthlib-1.2.0 | py_0 19 KB conda-forge\r\n rsa-4.0 | py_0 27 KB conda-forge\r\n scikit-image-0.16.2 | py37he350917_0 24.1 MB conda-forge\r\n scikit-learn-0.22.2.post1 | py37h7208079_0 6.1 MB conda-forge\r\n scipy-1.4.1 | py37h9439919_0 11.9 MB\r\n six-1.14.0 | py_1 13 KB conda-forge\r\n tensorboard-2.1.0 | py3_0 3.3 MB\r\n tensorflow-2.1.0 |eigen_py37hd727fc0_0 4 KB\r\n tensorflow-base-2.1.0 |eigen_py37h49b2757_0 35.4 MB\r\n tensorflow-estimator-2.1.0 | pyhd54b08b_0 251 KB\r\n terminado-0.8.3 | py37hc8dfbb8_1 23 KB conda-forge\r\n theano-1.0.4 |py37h6538335_1001 3.7 MB conda-forge\r\n tornado-6.0.4 | py37hfa6e2cd_0 643 KB conda-forge\r\n traitlets-4.3.3 | py37hc8dfbb8_1 133 KB conda-forge\r\n urllib3-1.25.7 | py37hc8dfbb8_1 160 KB conda-forge\r\n wcwidth-0.1.9 | pyh9f0ad1d_0 20 KB conda-forge\r\n werkzeug-0.16.1 | py_0 255 KB conda-forge\r\n widgetsnbextension-3.5.1 | py37_0 1.8 MB conda-forge\r\n win_inet_pton-1.1.0 | py37_0 7 KB conda-forge\r\n wrapt-1.12.1 | py37h8055547_1 45 KB conda-forge\r\n xz-5.2.4 | h2fa13f4_1002 815 KB conda-forge\r\n zstd-1.4.4 | hd8a0e53_2 1.7 MB conda-forge\r\n ------------------------------------------------------------\r\n Total: 140.6 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n _tflow_select pkgs\/main\/win-64::_tflow_select-2.2.0-eigen\r\n absl-py conda-forge\/win-64::absl-py-0.9.0-py37hc8dfbb8_1\r\n astor conda-forge\/noarch::astor-0.7.1-py_0\r\n attrs conda-forge\/noarch::attrs-19.3.0-py_0\r\n backcall conda-forge\/noarch::backcall-0.1.0-py_0\r\n blas pkgs\/main\/win-64::blas-1.0-mkl\r\n bleach conda-forge\/noarch::bleach-3.1.4-pyh9f0ad1d_0\r\n blinker conda-forge\/noarch::blinker-1.4-py_1\r\n cachetools conda-forge\/noarch::cachetools-3.1.1-py_0\r\n cffi conda-forge\/win-64::cffi-1.14.0-py37ha419a9e_0\r\n chardet conda-forge\/win-64::chardet-3.0.4-py37hc8dfbb8_1006\r\n click conda-forge\/noarch::click-7.1.1-pyh8c360ce_0\r\n cloudpickle conda-forge\/noarch::cloudpickle-1.3.0-py_0\r\n colorama conda-forge\/noarch::colorama-0.4.3-py_0\r\n cryptography conda-forge\/win-64::cryptography-2.8-py37hb32ad35_1\r\n cycler conda-forge\/noarch::cycler-0.10.0-py_2\r\n cytoolz conda-forge\/win-64::cytoolz-0.10.1-py37hfa6e2cd_0\r\n dask-core conda-forge\/noarch::dask-core-2.13.0-py_0\r\n decorator conda-forge\/noarch::decorator-4.4.2-py_0\r\n defusedxml conda-forge\/noarch::defusedxml-0.6.0-py_0\r\n entrypoints conda-forge\/win-64::entrypoints-0.3-py37hc8dfbb8_1001\r\n freetype conda-forge\/win-64::freetype-2.10.1-ha9979f8_0\r\n gast conda-forge\/noarch::gast-0.2.2-py_0\r\n google-auth conda-forge\/noarch::google-auth-1.12.0-pyh9f0ad1d_0\r\n google-auth-oauth~ conda-forge\/noarch::google-auth-oauthlib-0.4.1-py_2\r\n google-pasta conda-forge\/noarch::google-pasta-0.2.0-pyh8c360ce_0\r\n grpcio pkgs\/main\/win-64::grpcio-1.27.2-py37h351948d_0\r\n h5py conda-forge\/win-64::h5py-2.10.0-nompi_py37h422b98e_102\r\n hdf5 conda-forge\/win-64::hdf5-1.10.5-nompi_ha405e13_1104\r\n icc_rt pkgs\/main\/win-64::icc_rt-2019.0.0-h0cc432a_1\r\n icu conda-forge\/win-64::icu-64.2-he025d50_1\r\n idna conda-forge\/noarch::idna-2.9-py_1\r\n imageio conda-forge\/noarch::imageio-2.8.0-py_0\r\n importlib-metadata conda-forge\/win-64::importlib-metadata-1.6.0-py37hc8dfbb8_0\r\n importlib_metadata conda-forge\/noarch::importlib_metadata-1.6.0-0\r\n intel-openmp pkgs\/main\/win-64::intel-openmp-2020.0-166\r\n ipykernel conda-forge\/win-64::ipykernel-5.2.0-py37h5ca1d4c_1\r\n ipython conda-forge\/win-64::ipython-7.13.0-py37hc8dfbb8_2\r\n ipython_genutils conda-forge\/noarch::ipython_genutils-0.2.0-py_1\r\n ipywidgets conda-forge\/noarch::ipywidgets-7.5.1-py_0\r\n jedi conda-forge\/win-64::jedi-0.16.0-py37hc8dfbb8_1\r\n jinja2 conda-forge\/noarch::jinja2-2.11.1-py_0\r\n joblib conda-forge\/noarch::joblib-0.14.1-py_0\r\n jpeg conda-forge\/win-64::jpeg-9c-hfa6e2cd_1001\r\n jsonschema conda-forge\/win-64::jsonschema-3.2.0-py37hc8dfbb8_1\r\n jupyter conda-forge\/noarch::jupyter-1.0.0-py_2\r\n jupyter_client conda-forge\/noarch::jupyter_client-6.1.2-py_0\r\n jupyter_console conda-forge\/noarch::jupyter_console-6.1.0-py_1\r\n jupyter_core conda-forge\/win-64::jupyter_core-4.6.3-py37hc8dfbb8_1\r\n keras conda-forge\/win-64::keras-2.3.1-py37h21ff451_0\r\n keras-applications conda-forge\/noarch::keras-applications-1.0.8-py_1\r\n keras-preprocessi~ conda-forge\/noarch::keras-preprocessing-1.1.0-py_0\r\n kiwisolver conda-forge\/win-64::kiwisolver-1.1.0-py37heaa310e_1\r\n libblas conda-forge\/win-64::libblas-3.8.0-15_mkl\r\n libcblas conda-forge\/win-64::libcblas-3.8.0-15_mkl\r\n libclang conda-forge\/win-64::libclang-9.0.1-default_hf44288c_0\r\n libgpuarray conda-forge\/win-64::libgpuarray-0.7.6-hfa6e2cd_1003\r\n liblapack conda-forge\/win-64::liblapack-3.8.0-15_mkl\r\n libpng conda-forge\/win-64::libpng-1.6.37-hfe6a214_1\r\n libprotobuf conda-forge\/win-64::libprotobuf-3.11.4-h1a1b453_0\r\n libsodium conda-forge\/win-64::libsodium-1.0.17-h2fa13f4_0\r\n libtiff conda-forge\/win-64::libtiff-4.1.0-h885aae3_6\r\n lz4-c conda-forge\/win-64::lz4-c-1.8.3-he025d50_1001\r\n m2w64-gcc-libgfor~ pkgs\/msys2\/win-64::m2w64-gcc-libgfortran-5.3.0-6\r\n m2w64-gcc-libs pkgs\/msys2\/win-64::m2w64-gcc-libs-5.3.0-7\r\n m2w64-gcc-libs-co~ pkgs\/msys2\/win-64::m2w64-gcc-libs-core-5.3.0-7\r\n m2w64-gmp pkgs\/msys2\/win-64::m2w64-gmp-6.1.0-2\r\n m2w64-libwinpthre~ pkgs\/msys2\/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2\r\n mako conda-forge\/noarch::mako-1.1.0-py_0\r\n markdown conda-forge\/noarch::markdown-3.2.1-py_0\r\n markupsafe conda-forge\/win-64::markupsafe-1.1.1-py37h8055547_1\r\n matplotlib conda-forge\/win-64::matplotlib-3.2.1-0\r\n matplotlib-base conda-forge\/win-64::matplotlib-base-3.2.1-py37h911224e_0\r\n mistune conda-forge\/win-64::mistune-0.8.4-py37hfa6e2cd_1000\r\n mkl pkgs\/main\/win-64::mkl-2020.0-166\r\n mkl-service pkgs\/main\/win-64::mkl-service-2.3.0-py37hb782905_0\r\n msys2-conda-epoch pkgs\/msys2\/win-64::msys2-conda-epoch-20160418-1\r\n nbconvert conda-forge\/win-64::nbconvert-5.6.1-py37_0\r\n nbformat conda-forge\/noarch::nbformat-5.0.4-py_0\r\n networkx conda-forge\/noarch::networkx-2.4-py_1\r\n notebook conda-forge\/win-64::notebook-6.0.3-py37_0\r\n numpy conda-forge\/win-64::numpy-1.18.1-py37h90d3380_1\r\n oauthlib conda-forge\/noarch::oauthlib-3.0.1-py_0\r\n olefile conda-forge\/noarch::olefile-0.46-py_0\r\n opt_einsum conda-forge\/noarch::opt_einsum-3.2.0-py_0\r\n pandoc conda-forge\/win-64::pandoc-2.9.2-0\r\n pandocfilters conda-forge\/noarch::pandocfilters-1.4.2-py_1\r\n parso conda-forge\/noarch::parso-0.6.2-py_0\r\n pickleshare conda-forge\/win-64::pickleshare-0.7.5-py37hc8dfbb8_1001\r\n pillow conda-forge\/win-64::pillow-7.0.0-py37h91e7a8d_1\r\n prometheus_client conda-forge\/noarch::prometheus_client-0.7.1-py_0\r\n prompt-toolkit conda-forge\/noarch::prompt-toolkit-3.0.5-py_0\r\n prompt_toolkit conda-forge\/noarch::prompt_toolkit-3.0.5-0\r\n protobuf conda-forge\/win-64::protobuf-3.11.4-py37he025d50_0\r\n pyasn1 conda-forge\/noarch::pyasn1-0.4.8-py_0\r\n pyasn1-modules conda-forge\/noarch::pyasn1-modules-0.2.7-py_0\r\n pycparser conda-forge\/noarch::pycparser-2.20-py_0\r\n pygments conda-forge\/noarch::pygments-2.6.1-py_0\r\n pygpu conda-forge\/win-64::pygpu-0.7.6-py37hc8d92b1_1000\r\n pyjwt conda-forge\/noarch::pyjwt-1.7.1-py_0\r\n pyopenssl conda-forge\/noarch::pyopenssl-19.1.0-py_1\r\n pyparsing conda-forge\/noarch::pyparsing-2.4.6-py_0\r\n pyqt conda-forge\/win-64::pyqt-5.12.3-py37h6538335_1\r\n pyreadline conda-forge\/win-64::pyreadline-2.1-py37_1001\r\n pyrsistent conda-forge\/win-64::pyrsistent-0.16.0-py37h8055547_0\r\n pysocks conda-forge\/win-64::pysocks-1.7.1-py37hc8dfbb8_1\r\n python-dateutil conda-forge\/noarch::python-dateutil-2.8.1-py_0\r\n python_abi conda-forge\/win-64::python_abi-3.7-1_cp37m\r\n pywavelets conda-forge\/win-64::pywavelets-1.1.1-py37hc8d92b1_0\r\n pywin32 conda-forge\/win-64::pywin32-227-py37hfa6e2cd_0\r\n pywinpty conda-forge\/win-64::pywinpty-0.5.7-py37_0\r\n pyyaml conda-forge\/win-64::pyyaml-5.3.1-py37h8055547_0\r\n pyzmq conda-forge\/win-64::pyzmq-19.0.0-py37h8c16cda_1\r\n qt conda-forge\/win-64::qt-5.12.5-h7ef1ec2_0\r\n qtconsole conda-forge\/noarch::qtconsole-4.7.2-pyh9f0ad1d_0\r\n qtpy conda-forge\/noarch::qtpy-1.9.0-py_0\r\n requests conda-forge\/noarch::requests-2.23.0-pyh8c360ce_2\r\n requests-oauthlib conda-forge\/noarch::requests-oauthlib-1.2.0-py_0\r\n rsa conda-forge\/noarch::rsa-4.0-py_0\r\n scikit-image conda-forge\/win-64::scikit-image-0.16.2-py37he350917_0\r\n scikit-learn conda-forge\/win-64::scikit-learn-0.22.2.post1-py37h7208079_0\r\n scipy pkgs\/main\/win-64::scipy-1.4.1-py37h9439919_0\r\n send2trash conda-forge\/noarch::send2trash-1.5.0-py_0\r\n six conda-forge\/noarch::six-1.14.0-py_1\r\n tensorboard pkgs\/main\/noarch::tensorboard-2.1.0-py3_0\r\n tensorflow pkgs\/main\/win-64::tensorflow-2.1.0-eigen_py37hd727fc0_0\r\n tensorflow-base pkgs\/main\/win-64::tensorflow-base-2.1.0-eigen_py37h49b2757_0\r\n tensorflow-estima~ pkgs\/main\/noarch::tensorflow-estimator-2.1.0-pyhd54b08b_0\r\n termcolor conda-forge\/noarch::termcolor-1.1.0-py_2\r\n terminado conda-forge\/win-64::terminado-0.8.3-py37hc8dfbb8_1\r\n testpath conda-forge\/noarch::testpath-0.4.4-py_0\r\n theano conda-forge\/win-64::theano-1.0.4-py37h6538335_1001\r\n tk conda-forge\/win-64::tk-8.6.10-hfa6e2cd_0\r\n toolz conda-forge\/noarch::toolz-0.10.0-py_0\r\n tornado conda-forge\/win-64::tornado-6.0.4-py37hfa6e2cd_0\r\n tqdm conda-forge\/noarch::tqdm-4.44.1-pyh9f0ad1d_0\r\n traitlets conda-forge\/win-64::traitlets-4.3.3-py37hc8dfbb8_1\r\n urllib3 conda-forge\/win-64::urllib3-1.25.7-py37hc8dfbb8_1\r\n vs2015_win-64 pkgs\/main\/win-64::vs2015_win-64-14.0.25420-h55c1224_11\r\n wcwidth conda-forge\/noarch::wcwidth-0.1.9-pyh9f0ad1d_0\r\n webencodings conda-forge\/noarch::webencodings-0.5.1-py_1\r\n werkzeug conda-forge\/noarch::werkzeug-0.16.1-py_0\r\n widgetsnbextension conda-forge\/win-64::widgetsnbextension-3.5.1-py37_0\r\n win_inet_pton conda-forge\/win-64::win_inet_pton-1.1.0-py37_0\r\n winpty conda-forge\/win-64::winpty-0.4.3-4\r\n wrapt conda-forge\/win-64::wrapt-1.12.1-py37h8055547_1\r\n xz conda-forge\/win-64::xz-5.2.4-h2fa13f4_1002\r\n yaml conda-forge\/win-64::yaml-0.2.2-hfa6e2cd_1\r\n zeromq conda-forge\/win-64::zeromq-4.3.2-h6538335_2\r\n zipp conda-forge\/noarch::zipp-3.1.0-py_0\r\n zlib conda-forge\/win-64::zlib-1.2.11-h2fa13f4_1006\r\n zstd conda-forge\/win-64::zstd-1.4.4-hd8a0e53_2\r\n\r\nThe following packages will be SUPERSEDED by a higher-priority channel:\r\n\r\n ca-certificates pkgs\/main::ca-certificates-2020.1.1-0 --> conda-forge::ca-certificates-2019.11.28-hecc5488_0\r\n certifi pkgs\/main::certifi-2019.11.28-py37_1 --> conda-forge::certifi-2019.11.28-py37hc8dfbb8_1\r\n openssl pkgs\/main::openssl-1.1.1e-he774522_0 --> conda-forge::openssl-1.1.1e-hfa6e2cd_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\npython_abi-3.7 | 4 KB | ################### | 100%\r\nipython-7.13.0 | 1.1 MB | ################### | 100%\r\npyzmq-19.0.0 | 428 KB | ################### | 100%\r\nwerkzeug-0.16.1 | 255 KB | ################### | 100%\r\ngoogle-pasta-0.2.0 | 42 KB | ################### | 100%\r\nmatplotlib-base-3.2. | 7.1 MB | ################### | 100%\r\nurllib3-1.25.7 | 160 KB | ################### | 100%\r\nimportlib_metadata-1 | 3 KB | ################### | 100%\r\nh5py-2.10.0 | 950 KB | ################### | 100%\r\njupyter_core-4.6.3 | 94 KB | ################### | 100%\r\nsix-1.14.0 | 13 KB | ################### | 100%\r\nmatplotlib-3.2.1 | 6 KB | ################### | 100%\r\nidna-2.9 | 52 KB | ################### | 100%\r\nlibtiff-4.1.0 | 1020 KB | ################### | 100%\r\nscipy-1.4.1 | 11.9 MB | ################### | 100%\r\npyasn1-0.4.8 | 53 KB | ################### | 100%\r\ntensorflow-base-2.1. | 35.4 MB | ################### | 100%\r\nprompt_toolkit-3.0.5 | 4 KB | ################### | 100%\r\ncertifi-2019.11.28 | 149 KB | ################### | 100%\r\nipykernel-5.2.0 | 161 KB | ################### | 100%\r\noauthlib-3.0.1 | 82 KB | ################### | 100%\r\njupyter_console-6.1. | 21 KB | ################### | 100%\r\ntensorboard-2.1.0 | 3.3 MB | ################### | 100%\r\ntraitlets-4.3.3 | 133 KB | ################### | 100%\r\npyqt-5.12.3 | 4.7 MB | ################### | 100%\r\npickleshare-0.7.5 | 12 KB | ################### | 100%\r\nmkl-service-2.3.0 | 210 KB | ################### | 100%\r\nkiwisolver-1.1.0 | 61 KB | ################### | 100%\r\nprompt-toolkit-3.0.5 | 232 KB | ################### | 100%\r\ntornado-6.0.4 | 643 KB | ################### | 100%\r\nnumpy-1.18.1 | 4.7 MB | ################### | 100%\r\nprotobuf-3.11.4 | 583 KB | ################### | 100%\r\njsonschema-3.2.0 | 108 KB | ################### | 100%\r\nrsa-4.0 | 27 KB | ################### | 100%\r\nwcwidth-0.1.9 | 20 KB | ################### | 100%\r\ngrpcio-1.27.2 | 1.2 MB | ################### | 100%\r\ndask-core-2.13.0 | 596 KB | ################### | 100%\r\ntensorflow-estimator | 251 KB | ################### | 100%\r\nqtconsole-4.7.2 | 87 KB | ################### | 100%\r\nterminado-0.8.3 | 23 KB | ################### | 100%\r\n_tflow_select-2.2.0 | 3 KB | ################### | 100%\r\nblinker-1.4 | 13 KB | ################### | 100%\r\npillow-7.0.0 | 700 KB | ################### | 100%\r\ncryptography-2.8 | 564 KB | ################### | 100%\r\nnotebook-6.0.3 | 7.7 MB | ################### | 100%\r\njupyter_client-6.1.2 | 74 KB | ################### | 100%\r\nxz-5.2.4 | 815 KB | ################### | 100%\r\nwrapt-1.12.1 | 45 KB | ################### | 100%\r\ngoogle-auth-1.12.0 | 52 KB | ################### | 100%\r\njedi-0.16.0 | 772 KB | ################### | 100%\r\ntheano-1.0.4 | 3.7 MB | ################### | 100%\r\nlibpng-1.6.37 | 1.4 MB | ################### | 100%\r\nmarkupsafe-1.1.1 | 28 KB | ################### | 100%\r\ncffi-1.14.0 | 222 KB | ################### | 100%\r\nchardet-3.0.4 | 189 KB | ################### | 100%\r\nwidgetsnbextension-3 | 1.8 MB | ################### | 100%\r\ncachetools-3.1.1 | 11 KB | ################### | 100%\r\ncytoolz-0.10.1 | 336 KB | ################### | 100%\r\npyasn1-modules-0.2.7 | 60 KB | ################### | 100%\r\npyrsistent-0.16.0 | 91 KB | ################### | 100%\r\npyjwt-1.7.1 | 17 KB | ################### | 100%\r\ntensorflow-2.1.0 | 4 KB | ################### | 100%\r\nbleach-3.1.4 | 111 KB | ################### | 100%\r\nclick-7.1.1 | 64 KB | ################### | 100%\r\npyyaml-5.3.1 | 155 KB | ################### | 100%\r\npysocks-1.7.1 | 27 KB | ################### | 100%\r\nkeras-2.3.1 | 591 KB | ################### | 100%\r\nentrypoints-0.3 | 12 KB | ################### | 100%\r\nfreetype-2.10.1 | 481 KB | ################### | 100%\r\npywin32-227 | 7.0 MB | ################### | 100%\r\nnbconvert-5.6.1 | 506 KB | ################### | 100%\r\ngast-0.2.2 | 10 KB | ################### | 100%\r\npygpu-0.7.6 | 600 KB | ################### | 100%\r\npyreadline-2.1 | 141 KB | ################### | 100%\r\npycparser-2.20 | 89 KB | ################### | 100%\r\nmistune-0.8.4 | 53 KB | ################### | 100%\r\npywavelets-1.1.1 | 4.3 MB | ################### | 100%\r\nzstd-1.4.4 | 1.7 MB | ################### | 100%\r\npywinpty-0.5.7 | 48 KB | ################### | 100%\r\ngoogle-auth-oauthlib | 18 KB | ################### | 100%\r\nabsl-py-0.9.0 | 162 KB | ################### | 100%\r\nscikit-learn-0.22.2. | 6.1 MB | ################### | 100%\r\nimportlib-metadata-1 | 42 KB | ################### | 100%\r\nrequests-oauthlib-1. | 19 KB | ################### | 100%\r\nwin_inet_pton-1.1.0 | 7 KB | ################### | 100%\r\nopt_einsum-3.2.0 | 49 KB | ################### | 100%\r\nrequests-2.23.0 | 47 KB | ################### | 100%\r\nscikit-image-0.16.2 | 24.1 MB | ################### | 100%\r\npyopenssl-19.1.0 | 47 KB | ################### | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: | b'Enabling notebook extension jupyter-js-widgets\/extension...\\n - Validating: ok\\n'\r\ndone\r\n\r\nC:\\Users\\andreas>set "KERAS_BACKEND="\r\n\r\nC:\\Users\\andreas>python C:\\Users\\andreas\\Miniconda3\\envs\\compvis\\etc\\keras\\load_config.py 1>temp.txt\r\n\r\nC:\\Users\\andreas>set \/p KERAS_BACKEND= 0<temp.txt\r\n\r\nC:\\Users\\andreas>del temp.txt\r\n\r\nC:\\Users\\andreas>python -c "import keras" 1>nul 2>&1\r\n\r\nC:\\Users\\andreas>if errorlevel 1 (\r\nver 1>nul\r\n set "KERAS_BACKEND=theano"\r\n python -c "import keras" 1>nul 2>&1\r\n)\r\n\r\nC:\\Users\\andreas>SET DISTUTILS_USE_SDK=1\r\n\r\nC:\\Users\\andreas>SET MSSdk=1\r\n\r\nC:\\Users\\andreas>SET platform=\r\n\r\nC:\\Users\\andreas>IF \/I [AMD64] == [amd64] set "platform=true"\r\n\r\nC:\\Users\\andreas>IF \/I [] == [amd64] set "platform=true"\r\n\r\nC:\\Users\\andreas>if defined platform (set "VSREGKEY=HKEY_LOCAL_MACHINE\\SOFTWARE\\Wow6432Node\\Microsoft\\VisualStudio\\14.0" ) ELSE (set "VSREGKEY=HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\VisualStudio\\14.0" )\r\n\r\nC:\\Users\\andreas>for \/F "skip=2 tokens=2,*" %A in ('reg query "HKEY_LOCAL_MACHINE\\SOFTWARE\\Wow6432Node\\Microsoft\\VisualStudio\\14.0" \/v InstallDir') do SET "VSINSTALLDIR=%B"\r\nERROR: The system was unable to find the specified registry key or value.\r\n\r\nC:\\Users\\andreas>if "" == "" (set "VSINSTALLDIR=" )\r\n\r\nC:\\Users\\andreas>if "" == "" (\r\nECHO "WARNING: Did not find VS in registry or in VS140COMNTOOLS env var - your compiler may not work"\r\n GOTO End\r\n)\r\n"WARNING: Did not find VS in registry or in VS140COMNTOOLS env var - your compiler may not work"\r\nThe system cannot find the batch label specified - End\r\n\r\n<\/pre>\n<\/p>\n
\r\n\r\n(base) C:\\Users\\andreas>conda activate compvis\r\n\r\n(compvis) C:\\Users\\andreas>conda install -c conda-forge tqdm\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n\r\n==> WARNING: A newer version of conda exists. <==\r\n current version: 4.8.2\r\n latest version: 4.8.3\r\n\r\nPlease update conda by running\r\n\r\n $ conda update -n base -c defaults conda\r\n\r\n\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis\r\n\r\n added \/ updated specs:\r\n - tqdm\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n certifi-2019.11.28 | py38h32f6830_1 149 KB conda-forge\r\n openssl-1.1.1e | hfa6e2cd_0 4.7 MB conda-forge\r\n tqdm-4.44.1 | pyh9f0ad1d_0 48 KB conda-forge\r\n ------------------------------------------------------------\r\n Total: 4.9 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n tqdm conda-forge\/noarch::tqdm-4.44.1-pyh9f0ad1d_0\r\n\r\nThe following packages will be UPDATED:\r\n\r\n certifi 2019.11.28-py38h32f6830_0 --> 2019.11.28-py38h32f6830_1\r\n openssl 1.1.1d-hfa6e2cd_0 --> 1.1.1e-hfa6e2cd_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\nopenssl-1.1.1e | 4.7 MB | ############################################################################ | 100%\r\ntqdm-4.44.1 | 48 KB | ############################################################################ | 100%\r\ncertifi-2019.11.28 | 149 KB | ############################################################################ | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n\r\n(compvis) C:\\Users\\andreas>conda install -c conda-forge keras\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\r\nCollecting package metadata (repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed\r\n\r\nCondaError: KeyboardInterrupt\r\n\r\nTerminate batch job (Y\/N)? y\r\n\r\n(compvis) C:\\Users\\andreas>conda install keras\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\r\n\r\nCondaError: KeyboardInterrupt\r\n\r\nTerminate batch job (Y\/N)? y\r\n\r\n(compvis) C:\\Users\\andreas>conda install -c anaconda keras\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\r\nCollecting package metadata (repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: -\r\nFound conflicts! Looking for incompatible packages.\r\nThis can take several minutes. Press CTRL-C to abort.\r\nfailed\r\n\r\nUnsatisfiableError: The following specifications were found\r\nto be incompatible with the existing python installation in your environment:\r\n\r\nSpecifications:\r\n\r\n - keras -> python[version='>=3.5,<3.6.0a0|>=3.6,<3.7.0a0']\r\n\r\nYour python: python=3.8\r\n\r\nIf python is on the left-most side of the chain, that's the version you've asked for.\r\nWhen python appears to the right, that indicates that the thing on the left is somehow\r\nnot available for the python version you are constrained to. Note that conda will not\r\nchange your python version to a different minor version unless you explicitly specify\r\nthat.\r\n\r\n\r\n\r\n\r\n(compvis) C:\\Users\\andreas>conda install -c conda-forge keras\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\r\nCollecting package metadata (repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: \\\r\nFound conflicts! Looking for incompatible packages.\r\nThis can take several minutes. Press CTRL-C to abort.\r\nfailed\r\n\r\nUnsatisfiableError: The following specifications were found\r\nto be incompatible with the existing python installation in your environment:\r\n\r\nSpecifications:\r\n\r\n - keras -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0|3.4.*']\r\n\r\nYour python: python=3.8\r\n\r\nIf python is on the left-most side of the chain, that's the version you've asked for.\r\nWhen python appears to the right, that indicates that the thing on the left is somehow\r\nnot available for the python version you are constrained to. Note that conda will not\r\nchange your python version to a different minor version unless you explicitly specify\r\nthat.\r\n\r\n\r\n\r\n\r\n(compvis) C:\\Users\\andreas>conda install python=3.6\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n\r\n==> WARNING: A newer version of conda exists. <==\r\n current version: 4.8.2\r\n latest version: 4.8.3\r\n\r\nPlease update conda by running\r\n\r\n $ conda update -n base -c defaults conda\r\n\r\n\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis\r\n\r\n added \/ updated specs:\r\n - python=3.6\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n blas-1.0 | mkl 6 KB\r\n certifi-2019.11.28 | py36_1 157 KB\r\n cytoolz-0.10.1 | py36he774522_0 303 KB\r\n entrypoints-0.3 | py36_0 12 KB\r\n icu-58.2 | ha66f8fd_1 9.4 MB\r\n ipykernel-5.1.4 | py36h39e3cac_0 172 KB\r\n ipython-7.13.0 | py36h5ca1d4c_0 1010 KB\r\n jedi-0.16.0 | py36_1 768 KB\r\n jsonschema-2.6.0 | py36h7636477_0 102 KB\r\n jupyter_core-4.6.1 | py36_0 86 KB\r\n kiwisolver-1.1.0 | py36ha925a31_0 53 KB\r\n markupsafe-1.1.1 | py36he774522_0 31 KB\r\n matplotlib-3.1.3 | py36_0 22 KB\r\n matplotlib-base-3.1.3 | py36h64f37c6_0 4.9 MB\r\n mistune-0.8.4 | py36he774522_0 55 KB\r\n mkl-service-2.3.0 | py36hb782905_0 210 KB\r\n mkl_fft-1.0.15 | py36h14836fe_0 118 KB\r\n mkl_random-1.1.0 | py36h675688f_0 233 KB\r\n nbconvert-5.6.1 | py36_0 475 KB\r\n notebook-6.0.3 | py36_0 4.3 MB\r\n numpy-1.18.1 | py36h93ca92e_0 6 KB\r\n numpy-base-1.18.1 | py36hc3f5095_1 3.8 MB\r\n openssl-1.1.1e | he774522_0 4.8 MB\r\n pickleshare-0.7.5 | py36_0 13 KB\r\n pillow-7.0.0 | py36hcc1f983_0 652 KB\r\n pyqt-5.9.2 | py36h6538335_2 3.3 MB\r\n python-3.6.10 | h9f7ef89_0 15.9 MB\r\n pywavelets-1.1.1 | py36he774522_0 3.4 MB\r\n pywin32-227 | py36he774522_1 5.6 MB\r\n pywinpty-0.5.7 | py36_0 50 KB\r\n pyzmq-18.1.1 | py36ha925a31_0 399 KB\r\n qt-5.9.7 | vc14h73c81de_0 72.5 MB\r\n scikit-image-0.16.2 | py36h47e9c7a_0 22.6 MB\r\n scikit-learn-0.22.1 | py36h6288b17_0 4.7 MB\r\n scipy-1.4.1 | py36h9439919_0 11.9 MB\r\n setuptools-46.1.3 | py36_0 527 KB\r\n sip-4.19.8 | py36h6538335_0 262 KB\r\n six-1.14.0 | py36_0 27 KB\r\n terminado-0.8.3 | py36_0 26 KB\r\n tornado-6.0.4 | py36he774522_1 604 KB\r\n traitlets-4.3.3 | py36_0 140 KB\r\n widgetsnbextension-3.5.1 | py36_0 868 KB\r\n wincertstore-0.2 | py36h7fe50ca_0 14 KB\r\n ------------------------------------------------------------\r\n Total: 174.3 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n blas pkgs\/main\/win-64::blas-1.0-mkl\r\n mkl-service pkgs\/main\/win-64::mkl-service-2.3.0-py36hb782905_0\r\n mkl_fft pkgs\/main\/win-64::mkl_fft-1.0.15-py36h14836fe_0\r\n mkl_random pkgs\/main\/win-64::mkl_random-1.1.0-py36h675688f_0\r\n numpy-base pkgs\/main\/win-64::numpy-base-1.18.1-py36hc3f5095_1\r\n sip pkgs\/main\/win-64::sip-4.19.8-py36h6538335_0\r\n\r\nThe following packages will be REMOVED:\r\n\r\n importlib_metadata-1.5.0-py38_0\r\n pyrsistent-0.15.7-py38hfa6e2cd_0\r\n python_abi-3.8-1_cp38\r\n\r\nThe following packages will be UPDATED:\r\n\r\n ca-certificates conda-forge::ca-certificates-2019.11.~ --> pkgs\/main::ca-certificates-2020.1.1-0\r\n jedi conda-forge::jedi-0.16.0-py38_0 --> pkgs\/main::jedi-0.16.0-py36_1\r\n pywin32 conda-forge::pywin32-227-py38hfa6e2cd~ --> pkgs\/main::pywin32-227-py36he774522_1\r\n scipy conda-forge::scipy-1.3.2-py38h582fac2~ --> pkgs\/main::scipy-1.4.1-py36h9439919_0\r\n setuptools conda-forge::setuptools-46.0.0-py38_0 --> pkgs\/main::setuptools-46.1.3-py36_0\r\n tornado conda-forge::tornado-6.0.4-py38hfa6e2~ --> pkgs\/main::tornado-6.0.4-py36he774522_1\r\n\r\nThe following packages will be SUPERSEDED by a higher-priority channel:\r\n\r\n certifi conda-forge::certifi-2019.11.28-py38h~ --> pkgs\/main::certifi-2019.11.28-py36_1\r\n cytoolz conda-forge::cytoolz-0.10.1-py38hfa6e~ --> pkgs\/main::cytoolz-0.10.1-py36he774522_0\r\n entrypoints conda-forge::entrypoints-0.3-py38_1000 --> pkgs\/main::entrypoints-0.3-py36_0\r\n icu conda-forge::icu-64.2-he025d50_1 --> pkgs\/main::icu-58.2-ha66f8fd_1\r\n ipykernel conda-forge::ipykernel-5.1.4-py38h5ca~ --> pkgs\/main::ipykernel-5.1.4-py36h39e3cac_0\r\n ipython conda-forge::ipython-7.13.0-py38h5ca1~ --> pkgs\/main::ipython-7.13.0-py36h5ca1d4c_0\r\n jsonschema conda-forge::jsonschema-3.2.0-py38_0 --> pkgs\/main::jsonschema-2.6.0-py36h7636477_0\r\n jupyter_core conda-forge::jupyter_core-4.6.3-py38_0 --> pkgs\/main::jupyter_core-4.6.1-py36_0\r\n kiwisolver conda-forge::kiwisolver-1.1.0-py38he9~ --> pkgs\/main::kiwisolver-1.1.0-py36ha925a31_0\r\n markupsafe conda-forge::markupsafe-1.1.1-py38hfa~ --> pkgs\/main::markupsafe-1.1.1-py36he774522_0\r\n matplotlib conda-forge::matplotlib-3.2.0-1 --> pkgs\/main::matplotlib-3.1.3-py36_0\r\n matplotlib-base conda-forge::matplotlib-base-3.2.0-py~ --> pkgs\/main::matplotlib-base-3.1.3-py36h64f37c6_0\r\n mistune conda-forge::mistune-0.8.4-py38hfa6e2~ --> pkgs\/main::mistune-0.8.4-py36he774522_0\r\n nbconvert conda-forge::nbconvert-5.6.1-py38_0 --> pkgs\/main::nbconvert-5.6.1-py36_0\r\n notebook conda-forge::notebook-6.0.3-py38_0 --> pkgs\/main::notebook-6.0.3-py36_0\r\n numpy conda-forge::numpy-1.18.1-py38hc71023~ --> pkgs\/main::numpy-1.18.1-py36h93ca92e_0\r\n openssl conda-forge::openssl-1.1.1e-hfa6e2cd_0 --> pkgs\/main::openssl-1.1.1e-he774522_0\r\n pickleshare conda-forge::pickleshare-0.7.5-py38_1~ --> pkgs\/main::pickleshare-0.7.5-py36_0\r\n pillow conda-forge::pillow-7.0.0-py38h9ea1dd~ --> pkgs\/main::pillow-7.0.0-py36hcc1f983_0\r\n pyqt conda-forge::pyqt-5.12.3-py38h6538335~ --> pkgs\/main::pyqt-5.9.2-py36h6538335_2\r\n python conda-forge::python-3.8.2-h5fd99cc_4_~ --> pkgs\/main::python-3.6.10-h9f7ef89_0\r\n pywavelets conda-forge::pywavelets-1.1.1-py38hc8~ --> pkgs\/main::pywavelets-1.1.1-py36he774522_0\r\n pywinpty conda-forge::pywinpty-0.5.7-py38_0 --> pkgs\/main::pywinpty-0.5.7-py36_0\r\n pyzmq conda-forge::pyzmq-19.0.0-py38h16f901~ --> pkgs\/main::pyzmq-18.1.1-py36ha925a31_0\r\n qt conda-forge::qt-5.12.5-h7ef1ec2_0 --> pkgs\/main::qt-5.9.7-vc14h73c81de_0\r\n scikit-image conda-forge::scikit-image-0.16.2-py38~ --> pkgs\/main::scikit-image-0.16.2-py36h47e9c7a_0\r\n scikit-learn conda-forge::scikit-learn-0.22.2.post~ --> pkgs\/main::scikit-learn-0.22.1-py36h6288b17_0\r\n six conda-forge::six-1.14.0-py38_0 --> pkgs\/main::six-1.14.0-py36_0\r\n terminado conda-forge::terminado-0.8.3-py38_0 --> pkgs\/main::terminado-0.8.3-py36_0\r\n traitlets conda-forge::traitlets-4.3.3-py38_0 --> pkgs\/main::traitlets-4.3.3-py36_0\r\n widgetsnbextension conda-forge::widgetsnbextension-3.5.1~ --> pkgs\/main::widgetsnbextension-3.5.1-py36_0\r\n wincertstore conda-forge::wincertstore-0.2-py38_10~ --> pkgs\/main::wincertstore-0.2-py36h7fe50ca_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\nipykernel-5.1.4 | 172 KB | ############################################################################ | 100%\r\nnumpy-base-1.18.1 | 3.8 MB | ############################################################################ | 100%\r\nscikit-image-0.16.2 | 22.6 MB | ############################################################################ | 100%\r\nwidgetsnbextension-3 | 868 KB | ############################################################################ | 100%\r\npyqt-5.9.2 | 3.3 MB | ############################################################################ | 100%\r\njedi-0.16.0 | 768 KB | ############################################################################ | 100%\r\nscipy-1.4.1 | 11.9 MB | ############################################################################ | 100%\r\nmatplotlib-base-3.1. | 4.9 MB | ############################################################################ | 100%\r\npickleshare-0.7.5 | 13 KB | ############################################################################ | 100%\r\nblas-1.0 | 6 KB | ############################################################################ | 100%\r\nkiwisolver-1.1.0 | 53 KB | ############################################################################ | 100%\r\nsix-1.14.0 | 27 KB | ############################################################################ | 100%\r\nmkl-service-2.3.0 | 210 KB | ############################################################################ | 100%\r\nscikit-learn-0.22.1 | 4.7 MB | ############################################################################ | 100%\r\nentrypoints-0.3 | 12 KB | ############################################################################ | 100%\r\npywavelets-1.1.1 | 3.4 MB | ############################################################################ | 100%\r\ncertifi-2019.11.28 | 157 KB | ############################################################################ | 100%\r\nopenssl-1.1.1e | 4.8 MB | ############################################################################ | 100%\r\nwincertstore-0.2 | 14 KB | ############################################################################ | 100%\r\npyzmq-18.1.1 | 399 KB | ############################################################################ | 100%\r\npywinpty-0.5.7 | 50 KB | ############################################################################ | 100%\r\npywin32-227 | 5.6 MB | ############################################################################ | 100%\r\nmkl_fft-1.0.15 | 118 KB | ############################################################################ | 100%\r\nterminado-0.8.3 | 26 KB | ############################################################################ | 100%\r\npython-3.6.10 | 15.9 MB | ############################################################################ | 100%\r\njsonschema-2.6.0 | 102 KB | ############################################################################ | 100%\r\nnotebook-6.0.3 | 4.3 MB | ############################################################################ | 100%\r\njupyter_core-4.6.1 | 86 KB | ############################################################################ | 100%\r\ncytoolz-0.10.1 | 303 KB | ############################################################################ | 100%\r\nmistune-0.8.4 | 55 KB | ############################################################################ | 100%\r\nsip-4.19.8 | 262 KB | ############################################################################ | 100%\r\nmkl_random-1.1.0 | 233 KB | ############################################################################ | 100%\r\nicu-58.2 | 9.4 MB | ############################################################################ | 100%\r\nnumpy-1.18.1 | 6 KB | ############################################################################ | 100%\r\nsetuptools-46.1.3 | 527 KB | ############################################################################ | 100%\r\nmatplotlib-3.1.3 | 22 KB | ############################################################################ | 100%\r\nmarkupsafe-1.1.1 | 31 KB | ############################################################################ | 100%\r\ntraitlets-4.3.3 | 140 KB | ############################################################################ | 100%\r\ntornado-6.0.4 | 604 KB | ############################################################################ | 100%\r\nnbconvert-5.6.1 | 475 KB | ############################################################################ | 100%\r\nipython-7.13.0 | 1010 KB | ############################################################################ | 100%\r\nqt-5.9.7 | 72.5 MB | ############################################################################ | 100%\r\npillow-7.0.0 | 652 KB | ############################################################################ | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: \/ b'Uninstalling jupyter-js-widgets jupyter-js-widgets\/extension\\nRemoving: C:\\\\Users\\\\andreas\\\\Miniconda3\\\\envs\\\\compvis\\\\share\\\\jupyter\\\\nbextensions\\\\jupyter-js-widgets\\n'\r\n\/ WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(140): Could not remove or rename C:\\Users\\andreas\\Miniconda3\\envs\\compvis\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf. Please remove this file manually (you may need to reboot to free file handles)\r\n| DEBUG menuinst_win32:__init__(199): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}', prefix: 'C:\\Users\\andreas\\Miniconda3\\envs\\compvis', env_name: 'compvis', mode: 'user', used_mode: 'user'\r\nDEBUG menuinst_win32:create(323): Shortcut cmd is C:\\Users\\andreas\\Miniconda3\\python.exe, args are ['C:\\\\Users\\\\andreas\\\\Miniconda3\\\\cwp.py', 'C:\\\\Users\\\\andreas\\\\Miniconda3\\\\envs\\\\compvis', 'C:\\\\Users\\\\andreas\\\\Miniconda3\\\\envs\\\\compvis\\\\python.exe', 'C:\\\\Users\\\\andreas\\\\Miniconda3\\\\envs\\\\compvis\\\\Scripts\\\\jupyter-notebook-script.py', '"%USERPROFILE%\/"']\r\ndone\r\n\r\n(compvis) C:\\Users\\andreas>\r\n(compvis) C:\\Users\\andreas>\r\n(compvis) C:\\Users\\andreas>conda install python=3.6\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n\r\n==> WARNING: A newer version of conda exists. <==\r\n current version: 4.8.2\r\n latest version: 4.8.3\r\n\r\nPlease update conda by running\r\n\r\n $ conda update -n base -c defaults conda\r\n\r\n\r\n\r\n# All requested packages already installed.\r\n\r\n\r\n(compvis) C:\\Users\\andreas>conda update -n base -c defaults conda\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\r\n\r\n added \/ updated specs:\r\n - conda\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n certifi-2019.11.28 | py37_1 157 KB\r\n conda-4.8.3 | py37_0 2.8 MB\r\n idna-2.9 | py_1 49 KB\r\n pycparser-2.20 | py_0 92 KB\r\n requests-2.23.0 | py37_0 93 KB\r\n setuptools-46.1.3 | py37_0 528 KB\r\n tqdm-4.44.1 | py_0 57 KB\r\n ------------------------------------------------------------\r\n Total: 3.8 MB\r\n\r\nThe following packages will be UPDATED:\r\n\r\n certifi 2019.11.28-py37_0 --> 2019.11.28-py37_1\r\n conda 4.8.2-py37_0 --> 4.8.3-py37_0\r\n idna pkgs\/main\/win-64::idna-2.8-py37_0 --> pkgs\/main\/noarch::idna-2.9-py_1\r\n openssl 1.1.1d-he774522_4 --> 1.1.1e-he774522_0\r\n pycparser pkgs\/main\/win-64::pycparser-2.19-py37~ --> pkgs\/main\/noarch::pycparser-2.20-py_0\r\n requests 2.22.0-py37_1 --> 2.23.0-py37_0\r\n setuptools 45.2.0-py37_0 --> 46.1.3-py37_0\r\n tqdm 4.42.1-py_0 --> 4.44.1-py_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\nsetuptools-46.1.3 | 528 KB | ############################################################################ | 100%\r\nidna-2.9 | 49 KB | ############################################################################ | 100%\r\nrequests-2.23.0 | 93 KB | ############################################################################ | 100%\r\ntqdm-4.44.1 | 57 KB | ############################################################################ | 100%\r\npycparser-2.20 | 92 KB | ############################################################################ | 100%\r\nconda-4.8.3 | 2.8 MB | ############################################################################ | 100%\r\ncertifi-2019.11.28 | 157 KB | ############################################################################ | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n\r\n(compvis) C:\\Users\\andreas>conda install python=3.6\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n# All requested packages already installed.\r\n\r\n\r\n(compvis) C:\\Users\\andreas>conda install -c conda-forge keras\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis\r\n\r\n added \/ updated specs:\r\n - keras\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n package | build\r\n ---------------------------|-----------------\r\n absl-py-0.9.0 | py36h9f0ad1d_1 162 KB conda-forge\r\n astor-0.7.1 | py_0 22 KB conda-forge\r\n certifi-2019.11.28 | py36h9f0ad1d_1 149 KB conda-forge\r\n gast-0.3.3 | py_0 12 KB conda-forge\r\n grpcio-1.23.0 | py36hc6b9980_1 1.0 MB conda-forge\r\n h5py-2.10.0 |nompi_py36h422b98e_102 936 KB conda-forge\r\n hdf5-1.10.5 |nompi_ha405e13_1104 35.1 MB conda-forge\r\n keras-2.3.1 | py36h21ff451_0 589 KB conda-forge\r\n keras-applications-1.0.8 | py_1 30 KB conda-forge\r\n keras-preprocessing-1.1.0 | py_0 33 KB conda-forge\r\n libgpuarray-0.7.6 | hfa6e2cd_1003 314 KB conda-forge\r\n libprotobuf-3.11.4 | h1a1b453_0 2.2 MB conda-forge\r\n mako-1.1.0 | py_0 57 KB conda-forge\r\n markdown-3.2.1 | py_0 61 KB conda-forge\r\n protobuf-3.11.4 | py36he025d50_0 583 KB conda-forge\r\n pygpu-0.7.6 |py36hc8d92b1_1000 594 KB conda-forge\r\n pyreadline-2.1 | py36_1001 141 KB conda-forge\r\n python_abi-3.6 | 1_cp36m 4 KB conda-forge\r\n pyyaml-5.3.1 | py36h68a101e_0 155 KB conda-forge\r\n tensorboard-1.13.1 | py36_0 3.3 MB conda-forge\r\n tensorflow-1.13.2 | h21ff451_0 22 KB conda-forge\r\n tensorflow-base-1.13.2 | py36_0 52.5 MB conda-forge\r\n tensorflow-estimator-1.13.0| py36h39e3cac_0 475 KB conda-forge\r\n termcolor-1.1.0 | py_2 6 KB conda-forge\r\n theano-1.0.4 |py36h6538335_1001 3.7 MB conda-forge\r\n vs2015_win-64-14.0.25420 | h55c1224_11 7 KB\r\n werkzeug-1.0.0 | py_0 238 KB conda-forge\r\n yaml-0.2.2 | hfa6e2cd_1 63 KB conda-forge\r\n ------------------------------------------------------------\r\n Total: 102.4 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n absl-py conda-forge\/win-64::absl-py-0.9.0-py36h9f0ad1d_1\r\n astor conda-forge\/noarch::astor-0.7.1-py_0\r\n gast conda-forge\/noarch::gast-0.3.3-py_0\r\n grpcio conda-forge\/win-64::grpcio-1.23.0-py36hc6b9980_1\r\n h5py conda-forge\/win-64::h5py-2.10.0-nompi_py36h422b98e_102\r\n hdf5 conda-forge\/win-64::hdf5-1.10.5-nompi_ha405e13_1104\r\n keras conda-forge\/win-64::keras-2.3.1-py36h21ff451_0\r\n keras-applications conda-forge\/noarch::keras-applications-1.0.8-py_1\r\n keras-preprocessi~ conda-forge\/noarch::keras-preprocessing-1.1.0-py_0\r\n libgpuarray conda-forge\/win-64::libgpuarray-0.7.6-hfa6e2cd_1003\r\n libprotobuf conda-forge\/win-64::libprotobuf-3.11.4-h1a1b453_0\r\n mako conda-forge\/noarch::mako-1.1.0-py_0\r\n markdown conda-forge\/noarch::markdown-3.2.1-py_0\r\n protobuf conda-forge\/win-64::protobuf-3.11.4-py36he025d50_0\r\n pygpu conda-forge\/win-64::pygpu-0.7.6-py36hc8d92b1_1000\r\n pyreadline conda-forge\/win-64::pyreadline-2.1-py36_1001\r\n python_abi conda-forge\/win-64::python_abi-3.6-1_cp36m\r\n pyyaml conda-forge\/win-64::pyyaml-5.3.1-py36h68a101e_0\r\n tensorboard conda-forge\/win-64::tensorboard-1.13.1-py36_0\r\n tensorflow conda-forge\/win-64::tensorflow-1.13.2-h21ff451_0\r\n tensorflow-base conda-forge\/win-64::tensorflow-base-1.13.2-py36_0\r\n tensorflow-estima~ conda-forge\/win-64::tensorflow-estimator-1.13.0-py36h39e3cac_0\r\n termcolor conda-forge\/noarch::termcolor-1.1.0-py_2\r\n theano conda-forge\/win-64::theano-1.0.4-py36h6538335_1001\r\n vs2015_win-64 pkgs\/main\/win-64::vs2015_win-64-14.0.25420-h55c1224_11\r\n werkzeug conda-forge\/noarch::werkzeug-1.0.0-py_0\r\n yaml conda-forge\/win-64::yaml-0.2.2-hfa6e2cd_1\r\n\r\nThe following packages will be SUPERSEDED by a higher-priority channel:\r\n\r\n ca-certificates pkgs\/main::ca-certificates-2020.1.1-0 --> conda-forge::ca-certificates-2019.11.28-hecc5488_0\r\n certifi pkgs\/main::certifi-2019.11.28-py36_1 --> conda-forge::certifi-2019.11.28-py36h9f0ad1d_1\r\n openssl pkgs\/main::openssl-1.1.1e-he774522_0 --> conda-forge::openssl-1.1.1e-hfa6e2cd_0\r\n\r\n\r\nProceed ([y]\/n)? y\r\n\r\n\r\nDownloading and Extracting Packages\r\ngast-0.3.3 | 12 KB | ############################################################################ | 100%\r\ngrpcio-1.23.0 | 1.0 MB | ############################################################################ | 100%\r\nkeras-preprocessing- | 33 KB | ############################################################################ | 100%\r\nabsl-py-0.9.0 | 162 KB | ############################################################################ | 100%\r\npyyaml-5.3.1 | 155 KB | ############################################################################ | 100%\r\npygpu-0.7.6 | 594 KB | ############################################################################ | 100%\r\nlibgpuarray-0.7.6 | 314 KB | ############################################################################ | 100%\r\nkeras-2.3.1 | 589 KB | ############################################################################ | 100%\r\npython_abi-3.6 | 4 KB | ############################################################################ | 100%\r\nwerkzeug-1.0.0 | 238 KB | ############################################################################ | 100%\r\nhdf5-1.10.5 | 35.1 MB | ############################################################################ | 100%\r\nprotobuf-3.11.4 | 583 KB | ############################################################################ | 100%\r\nkeras-applications-1 | 30 KB | ############################################################################ | 100%\r\ntensorflow-1.13.2 | 22 KB | ############################################################################ | 100%\r\nmako-1.1.0 | 57 KB | ############################################################################ | 100%\r\ntensorflow-estimator | 475 KB | ############################################################################ | 100%\r\nyaml-0.2.2 | 63 KB | ############################################################################ | 100%\r\nastor-0.7.1 | 22 KB | ############################################################################ | 100%\r\ntensorflow-base-1.13 | 52.5 MB | ############################################################################ | 100%\r\ntheano-1.0.4 | 3.7 MB | ############################################################################ | 100%\r\ntensorboard-1.13.1 | 3.3 MB | ############################################################################ | 100%\r\nh5py-2.10.0 | 936 KB | ############################################################################ | 100%\r\nvs2015_win-64-14.0.2 | 7 KB | ############################################################################ | 100%\r\nmarkdown-3.2.1 | 61 KB | ############################################################################ | 100%\r\ncertifi-2019.11.28 | 149 KB | ############################################################################ | 100%\r\npyreadline-2.1 | 141 KB | ############################################################################ | 100%\r\ntermcolor-1.1.0 | 6 KB | ############################################################################ | 100%\r\nlibprotobuf-3.11.4 | 2.2 MB | ############################################################################ | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n\r\nC:\\Users\\andreas>set "KERAS_BACKEND="\r\n\r\nC:\\Users\\andreas>python C:\\Users\\andreas\\Miniconda3\\envs\\compvis\\etc\\keras\\load_config.py 1>temp.txt\r\n\r\nC:\\Users\\andreas>set \/p KERAS_BACKEND= 0<temp.txt\r\n\r\nC:\\Users\\andreas>del temp.txt\r\n\r\nC:\\Users\\andreas>python -c "import keras" 1>nul 2>&1\r\n\r\nC:\\Users\\andreas>if errorlevel 1 (\r\nver 1>nul\r\n set "KERAS_BACKEND=theano"\r\n python -c "import keras" 1>nul 2>&1\r\n)\r\n\r\nC:\\Users\\andreas>SET DISTUTILS_USE_SDK=1\r\n\r\nC:\\Users\\andreas>SET MSSdk=1\r\n\r\nC:\\Users\\andreas>SET platform=\r\n\r\nC:\\Users\\andreas>IF \/I [AMD64] == [amd64] set "platform=true"\r\n\r\nC:\\Users\\andreas>IF \/I [] == [amd64] set "platform=true"\r\n\r\nC:\\Users\\andreas>if defined platform (set "VSREGKEY=HKEY_LOCAL_MACHINE\\SOFTWARE\\Wow6432Node\\Microsoft\\VisualStudio\\14.0" ) ELSE (set "VSREGKEY=HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\VisualStudio\\14.0" )\r\n\r\nC:\\Users\\andreas>for \/F "skip=2 tokens=2,*" %A in ('reg query "HKEY_LOCAL_MACHINE\\SOFTWARE\\Wow6432Node\\Microsoft\\VisualStudio\\14.0" \/v InstallDir') do SET "VSINSTALLDIR=%B"\r\nERROR: The system was unable to find the specified registry key or value.\r\n\r\nC:\\Users\\andreas>if "" == "" (set "VSINSTALLDIR=" )\r\n\r\nC:\\Users\\andreas>if "" == "" (\r\nECHO "WARNING: Did not find VS in registry or in VS140COMNTOOLS env var - your compiler may not work"\r\n GOTO End\r\n)\r\n"WARNING: Did not find VS in registry or in VS140COMNTOOLS env var - your compiler may not work"\r\nThe system cannot find the batch label specified - End\r\n\r\n(compvis) C:\\Users\\andreas>\r\n(compvis) C:\\Users\\andreas>\r\n(compvis) C:\\Users\\andreas>file\r\n'file' is not recognized as an internal or external command,\r\noperable program or batch file.\r\n\r\n(compvis) C:\\Users\\andreas>conda install python=3.8\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: failed with initial frozen solve. Retrying with flexible solve.\r\nSolving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\r\nCollecting package metadata (repodata.json): done\r\nSolving environment: \/\r\n<\/pre>\n\r\nCALL "%VSINSTALLDIR%VC\\vcvarsall.bat" amd64 \r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"(base) C:\\Users\\andreas>conda env remove –name compvis (base) C:\\Users\\andreas>conda create –name compvis python=3.7 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\\Users\\andreas\\Miniconda3\\envs\\compvis added \/ updated specs: – python=3.7 The following packages will be downloaded: package | build —————————|—————– python-3.7.7 |h60c2a47_0_cpython 14.8 MB ———————————————————— Total: 14.8 MB The following NEW packages […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10832","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10832"}],"version-history":[{"count":9,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10832\/revisions"}],"predecessor-version":[{"id":11142,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10832\/revisions\/11142"}],"wp:attachment":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10832"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}