meowcat / MSNovelist

GNU Affero General Public License v3.0
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errors building msnovelist #2

Closed stolltho closed 2 years ago

stolltho commented 3 years ago

Hi, Tried to build msnovelist on two different laptops @ two different locations, but get two different errors back. One laptop repeatedly errors when downloading packages from Bioinf Uni Jena (log not shown) and the other has a problem w/ Conda pip download (see below). On actual institute PCs I can't even break through the firewall to download packages using the Powershell (so annoying). Cheers, Thomas

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PS C:> cd .\temp\MSNovelist\ PS C:\temp\MSNovelist> docker build . -t msnovelist [+] Building 1901.0s (12/20) => [internal] load build definition from Dockerfile 0.2s => => transferring dockerfile: 1.14kB 0.0s => [internal] load .dockerignore 0.1s => => transferring context: 72B 0.0s => [internal] load metadata for docker.io/continuumio/miniconda3:latest 6.8s => [internal] load metadata for docker.io/library/maven:3.8.1-jdk-11 6.8s => [stage-1 1/11] FROM docker.io/continuumio/miniconda3@sha256:592a60b95b547f31c11dc6593832e962952e3178f1fa11 273.7s => => resolve docker.io/continuumio/miniconda3@sha256:592a60b95b547f31c11dc6593832e962952e3178f1fa11db37f43a2afe 0.1s => => sha256:592a60b95b547f31c11dc6593832e962952e3178f1fa11db37f43a2afe8df8d7 1.36kB / 1.36kB 0.0s => => sha256:92d7896124d940cb1815d3b59d8eaab9a8e86c801af2437658581465044b0a06 953B / 953B 0.0s => => sha256:67414e5844b666d3d44cb5c43de3f4aa8645e17d462951003fe622c9ae894983 4.08kB / 4.08kB 0.0s => => sha256:33847f680f63fb1b343a9fc782e267b5abdbdb50d65d4b9bd2a136291d67cf75 27.15MB / 27.15MB 162.3s => => sha256:f5a80bcd14133fe8e0166900eb4bfb714939510e490403e82f3a32776cd41a8f 51.25MB / 51.25MB 236.9s => => sha256:8d0d14d1334a21b14dcb9a9bbb16aa692282173db137856ce8c315a05e3397c7 58.19MB / 58.19MB 265.9s => => extracting sha256:33847f680f63fb1b343a9fc782e267b5abdbdb50d65d4b9bd2a136291d67cf75 5.0s => => extracting sha256:f5a80bcd14133fe8e0166900eb4bfb714939510e490403e82f3a32776cd41a8f 7.7s => => extracting sha256:8d0d14d1334a21b14dcb9a9bbb16aa692282173db137856ce8c315a05e3397c7 7.2s => [internal] load build context 1.0s => => transferring context: 27.65MB 1.0s => [fingerprint-wrapper-build 1/4] FROM docker.io/library/maven:3.8.1-jdk-11@sha256:aaf506d47cd2ec8f62fc1ff740 359.0s => => resolve docker.io/library/maven:3.8.1-jdk-11@sha256:aaf506d47cd2ec8f62fc1ff74065eda5614738e8ea61bad9b32da0 0.1s => => sha256:5b508b1fe19e290255c9e077a1c7af028a576cabb70eab4abdfee574599f729f 8.91kB / 8.91kB 0.0s => => sha256:aaf506d47cd2ec8f62fc1ff74065eda5614738e8ea61bad9b32da0360b9498cd 549B / 549B 0.0s => => sha256:c7fd7fd85d575501412f4237f2efcba10c8ee5ed6917fba15bcbf8521f3ae066 2.42kB / 2.42kB 0.0s => => sha256:c040670e5e559fd936db175530ad4c1dd014bd25b2bf25ea19fa20554fe2d736 7.83MB / 7.83MB 15.8s => => sha256:073a180f4992853fa3dd8da604e7b041bc8ea92157749d042c0853312f178f6a 10.00MB / 10.00MB 20.1s => => sha256:627b765e08d177e63c9a202ca4991b711448905b934435c70b7cbd7d4a9c7959 50.44MB / 50.44MB 105.2s => => sha256:bf76209566d0c8d78df205b09e6e5b52ff7f10cb4e1c03d9336ed7dd2decd919 51.84MB / 51.84MB 115.8s => => sha256:f10db7ba7580dd43abbf34313aab51dae288a6ef8dcd1b60860a97679c47942d 5.29MB / 5.29MB 31.0s => => sha256:5b2f970878fad14882553683f35f608f8e510c8886959085d5c5b43947104abe 210B / 210B 32.4s => => sha256:ed434bfebf18b6bcb8ae2c5552ff4319f726cbfa5006cd890d8c044403fee7fb 203.13MB / 203.13MB 342.9s => => sha256:034ffe8d2e9bdebe5b9be185c24cb95d42abc9d7d2d5250450263803e84901b1 9.61MB / 9.61MB 130.2s => => extracting sha256:627b765e08d177e63c9a202ca4991b711448905b934435c70b7cbd7d4a9c7959 7.7s => => extracting sha256:c040670e5e559fd936db175530ad4c1dd014bd25b2bf25ea19fa20554fe2d736 1.3s => => extracting sha256:073a180f4992853fa3dd8da604e7b041bc8ea92157749d042c0853312f178f6a 0.9s => => sha256:d5d148453d21e777a2aed34aa25177ae18ecda2482370f97b41fe62354d6be59 853B / 853B 117.2s => => extracting sha256:bf76209566d0c8d78df205b09e6e5b52ff7f10cb4e1c03d9336ed7dd2decd919 9.5s => => sha256:9ada6670f541c6aad8166b9aacb4670b211bbd5f1fe0c97552fa4eac90295549 360B / 360B 117.7s => => extracting sha256:f10db7ba7580dd43abbf34313aab51dae288a6ef8dcd1b60860a97679c47942d 0.8s => => extracting sha256:5b2f970878fad14882553683f35f608f8e510c8886959085d5c5b43947104abe 0.0s => => extracting sha256:ed434bfebf18b6bcb8ae2c5552ff4319f726cbfa5006cd890d8c044403fee7fb 13.8s => => extracting sha256:034ffe8d2e9bdebe5b9be185c24cb95d42abc9d7d2d5250450263803e84901b1 0.7s => => extracting sha256:d5d148453d21e777a2aed34aa25177ae18ecda2482370f97b41fe62354d6be59 0.0s => => extracting sha256:9ada6670f541c6aad8166b9aacb4670b211bbd5f1fe0c97552fa4eac90295549 0.0s => [stage-1 2/11] COPY msnovelist-env.yml / 0.3s => ERROR [stage-1 3/11] RUN /opt/conda/bin/conda env create -f /msnovelist-env.yml 1619.7s => [fingerprint-wrapper-build 2/4] COPY fingerprint-wrapper /usr/src/fingerprint-wrapper 0.2s => [fingerprint-wrapper-build 3/4] WORKDIR /usr/src/fingerprint-wrapper 0.0s => [fingerprint-wrapper-build 4/4] RUN mvn clean install 901.5s

[stage-1 3/11] RUN /opt/conda/bin/conda env create -f /msnovelist-env.yml:

8 1.574 Collecting package metadata (repodata.json): ...working... done

8 120.1 Solving environment: ...working... done

8 138.9

8 138.9 Downloading and Extracting Packages

zstd-1.4.5 | 619 KB | ########## | 100% openssl-1.1.1j | 2.1 MB | ########## | 100% pyqt-5.9.2 | 5.7 MB | ########## | 100% mkl_fft-1.3.0 | 167 KB | ########## | 100% blas-1.0 | 1 KB | ########## | 100% ipython_genutils-0.2 | 21 KB | ########## | 100% py-boost-1.73.0 | 204 KB | ########## | 100% parso-0.8.1 | 67 KB | ########## | 100% dash-1.19.0 | 69 KB | ########## | 100% pandas-1.2.3 | 11.8 MB | ########## | 100% spectrum_utils-0.3.4 | 21 KB | ########## | 100% libcblas-3.8.0 | 11 KB | ########## | 100% matplotlib-3.3.4 | 6 KB | ########## | 100% cloudpickle-1.6.0 | 22 KB | ########## | 100% libxcb-1.14 | 505 KB | ########## | 100% ptyprocess-0.7.0 | 16 KB | ########## | 100% pyzmq-20.0.0 | 506 KB | ########## | 100% glib-tools-2.68.3 | 86 KB | ########## | 100% jinja2-2.11.3 | 93 KB | ########## | 100% libsodium-1.0.18 | 366 KB | ########## | 100% dash-bootstrap-compo | 95 KB | ########## | 100% prompt-toolkit-3.0.1 | 244 KB | ########## | 100% mkl_random-1.1.1 | 366 KB | ########## | 100% numexpr-2.7.3 | 201 KB | ########## | 100% pygments-2.8.1 | 736 KB | ########## | 100% qt-5.9.7 | 68.5 MB | ########## | 100% libstdcxx-ng-11.1.0 | 4.2 MB | ########## | 100% nose-1.3.7 | 118 KB | ########## | 100% wurlitzer-2.1.1 | 13 KB | ########## | 100% bzip2-1.0.8 | 484 KB | ########## | 100% libxslt-1.1.34 | 432 KB | ########## | 100% matplotlib-base-3.3. | 6.7 MB | ########## | 100% rdkit-2020.09.1.0 | 25.8 MB | ########## | 100% zlib-1.2.11 | 106 KB | ########## | 100% toolz-0.11.1 | 46 KB | ########## | 100% libboost-1.73.0 | 13.9 MB | ########## | 100% traitlets-5.0.5 | 81 KB | ########## | 100% threadpoolctl-2.1.0 | 15 KB | ########## | 100% expat-2.2.10 | 164 KB | ########## | 100% python_abi-3.7 | 4 KB | ########## | 100% openjdk-11.0.1 | 175.5 MB | ########## | 100% dbus-1.13.6 | 585 KB | ########## | 100% gettext-0.19.8.1 | 3.6 MB | ########## | 100% backcall-0.2.0 | 13 KB | ########## | 100% _openmp_mutex-4.5 | 5 KB | ########## | 100% llvmlite-0.34.0 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100% pyteomics-4.4.1 | 129 KB | ########## | 100% pyyaml-5.4.1 | 189 KB | ########## | 100% click-7.1.2 | 64 KB | ########## | 100% jpype1-1.2.1 | 485 KB | ########## | 100% wcwidth-0.2.5 | 33 KB | ########## | 100% itsdangerous-1.1.0 | 16 KB | ########## | 100% dash-html-components | 162 KB | ########## | 100% xz-5.2.5 | 343 KB | ########## | 100% freetype-2.10.4 | 890 KB | ########## | 100% cycler-0.10.0 | 9 KB | ########## | 100% mkl-service-2.3.0 | 54 KB | ########## | 100% numba-0.51.2 | 3.6 MB | ########## | 100% ca-certificates-2020 | 137 KB | ########## | 100% pytz-2021.1 | 239 KB | ########## | 100% dash-renderer-1.1.2 | 912 KB | ########## | 100% flask-compress-1.9.0 | 13 KB | ########## | 100% pyrsistent-0.17.3 | 89 KB | ########## | 100% pcre-8.44 | 261 KB | ########## | 100% zipp-3.4.1 | 11 KB | ########## | 100% gst-plugins-base-1.1 | 4.9 MB | ########## | 100% lxml-4.6.2 | 1.5 MB | ########## | 100% pillow-8.1.2 | 624 KB | ########## | 100% dash-core-components | 1.7 MB | ########## | 100% dash-table-4.4.1 | 1.5 MB | ########## | 100% jupyter_client-6.1.7 | 76 KB | ########## | 100% libglib-2.68.3 | 3.1 MB | ########## | 100% tk-8.6.10 | 3.2 MB | ########## | 100% icu-58.2 | 22.6 MB | ########## | 100% mkl-2020.2 | 213.9 MB | ########## | 100% jedi-0.17.0 | 775 KB | ########## | 100% lzo-2.10 | 314 KB | ########## | 100% gstreamer-1.14.0 | 3.2 MB | ########## | 100% readline-8.1 | 295 KB | ########## | 100% pyparsing-2.4.7 | 60 KB | ########## | 100% numpy-1.19.2 | 22 KB | ########## | 100% ld_impl_linux-64-2.3 | 668 KB | ########## | 100% future-0.18.2 | 714 KB | ########## | 100% ncurses-6.2 | 985 KB | ########## | 100% libiconv-1.16 | 1.4 MB | ########## | 100% pixman-0.40.0 | 627 KB | ########## | 100% decorator-4.4.2 | 11 KB | ########## | 100% entrypoints-0.3 | 8 KB | ########## | 100% selfies-1.0.3 | 27 KB | ########## | 100% joblib-1.0.1 | 206 KB | ########## | 100% cairo-1.16.0 | 1.0 MB | ########## | 100% retrying-1.3.3 | 11 KB | ########## | 100% scipy-1.6.1 | 15.4 MB | ########## | 100% pickleshare-0.7.5 | 9 KB | ########## | 100% libxml2-2.9.10 | 1.2 MB | ########## | 100% h5py-2.10.0 | 1.0 MB | ########## | 100% libffi-3.3 | 51 KB | ########## | 100% fontconfig-2.13.1 | 357 KB | ########## | 100% lcms2-2.11 | 307 KB | ########## | 100% backports-1.0 | 4 KB | ########## | 100% jupytercore-4.7.1 | 72 KB | ########## | 100% jpeg-9b | 214 KB | ########## | 100% libuuid-2.32.1 | 28 KB | ########## | 100% wheel-0.36.2 | 31 KB | ########## | 100% sqlite-3.35.2 | 1.4 MB | ########## | 100% spyder-kernels-1.10. | 98 KB | ########## | 100% zeromq-4.3.4 | 352 KB | ########## | 100% lz4-c-1.9.3 | 179 KB | ########## | 100% tqdm-4.59.0 | 77 KB | ########## | 100% altair-4.1.0 | 614 KB | ########## | 100% llvm-openmp-12.0.1 | 2.8 MB | ########## | 100% werkzeug-1.0.1 | 239 KB | ########## | 100% numpy-base-1.19.2 | 4.1 MB | ########## | 100% dill-0.3.3 | 60 KB | ########## | 100% libgfortran4-7.5.0 | 1.3 MB | ########## | 100% backports.functools | 9 KB | ########## | 100% ipython-7.21.0 | 1.1 MB | ########## | 100% tornado-6.1 | 646 KB | ########## | 100% libllvm10-10.0.1 | 26.4 MB | ########## | 100% _libgcc_mutex-0.1 | 3 KB | ########## | 100% sip-4.19.8 | 290 KB | ########## | 100% markupsafe-1.1.1 | 27 KB | ########## | 100% brotli-python-1.0.9 | 352 KB | ########## | 100% python-3.7.10 | 57.3 MB | ########## | 100% scikit-learn-0.24.1 | 7.5 MB | ########## | 100% mock-4.0.3 | 51 KB | ########## | 100% pytables-3.6.1 | 1.2 MB | ########## | 100% libtiff-4.2.0 | 502 KB | ########## | 100% libgcc-ng-11.1.0 | 6.8 MB | ########## | 100% blosc-1.21.0 | 841 KB | ########## | 100% six-1.15.0 | 14 KB | ########## | 100% typing_extensions-3. | 25 KB | ########## | 100%

8 1187.8 Preparing transaction: ...working... done

8 1211.4 Verifying transaction: ...working... done

8 1228.2 Executing transaction: ...working... done

8 1261.3 Installing pip dependencies: ...working... Pip subprocess error:

8 1615.0 ERROR: Exception:

8 1615.0 Traceback (most recent call last):

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 171, in _merge_into_criterion

8 1615.0 crit = self.state.criteria[name]

8 1615.0 KeyError: 'tensorflow'

8 1615.0

8 1615.0 During handling of the above exception, another exception occurred:

8 1615.0

8 1615.0 Traceback (most recent call last):

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 438, in _error_catcher

8 1615.0 yield

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 519, in read

8 1615.0 data = self._fp.read(amt) if not fp_closed else b""

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 62, in read

8 1615.0 data = self.__fp.read(amt)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/http/client.py", line 461, in read

8 1615.0 n = self.readinto(b)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/http/client.py", line 505, in readinto

8 1615.0 n = self.fp.readinto(b)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/socket.py", line 589, in readinto

8 1615.0 return self._sock.recv_into(b)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/ssl.py", line 1071, in recv_into

8 1615.0 return self.read(nbytes, buffer)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/ssl.py", line 929, in read

8 1615.0 return self._sslobj.read(len, buffer)

8 1615.0 socket.timeout: The read operation timed out

8 1615.0

8 1615.0 During handling of the above exception, another exception occurred:

8 1615.0

8 1615.0 Traceback (most recent call last):

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/cli/base_command.py", line 189, in _main

8 1615.0 status = self.run(options, args)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/cli/req_command.py", line 178, in wrapper

8 1615.0 return func(self, options, args)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/commands/install.py", line 317, in run

8 1615.0 reqs, check_supported_wheels=not options.target_dir

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 122, in resolve

8 1615.0 requirements, max_rounds=try_to_avoid_resolution_too_deep,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 453, in resolve

8 1615.0 state = resolution.resolve(requirements, max_rounds=max_rounds)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 318, in resolve

8 1615.0 name, crit = self._merge_into_criterion(r, parent=None)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 173, in _merge_into_criterion

8 1615.0 crit = Criterion.from_requirement(self._p, requirement, parent)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 82, in from_requirement

8 1615.0 if not cands:

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/resolvelib/structs.py", line 124, in bool

8 1615.0 return bool(self._sequence)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 143, in bool

8 1615.0 return any(self)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 38, in _iter_built

8 1615.0 candidate = func()

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 169, in _make_candidate_from_link

8 1615.0 name=name, version=version,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 306, in init

8 1615.0 version=version,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 144, in init

8 1615.0 self.dist = self._prepare()

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 226, in _prepare

8 1615.0 dist = self._prepare_distribution()

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 312, in _prepare_distribution

8 1615.0 self._ireq, parallel_builds=True,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 457, in prepare_linked_requirement

8 1615.0 return self._prepare_linked_requirement(req, parallel_builds)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 482, in _prepare_linked_requirement

8 1615.0 self.download_dir, hashes,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 234, in unpack_url

8 1615.0 hashes=hashes,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 108, in get_http_url

8 1615.0 from_path, content_type = download(link, temp_dir.path)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/network/download.py", line 163, in call

8 1615.0 for chunk in chunks:

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/cli/progress_bars.py", line 159, in iter

8 1615.0 for x in it:

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_internal/network/utils.py", line 88, in response_chunks

8 1615.0 decode_content=False,

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 576, in stream

8 1615.0 data = self.read(amt=amt, decode_content=decode_content)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 541, in read

8 1615.0 raise IncompleteRead(self._fp_bytes_read, self.length_remaining)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/contextlib.py", line 130, in exit

8 1615.0 self.gen.throw(type, value, traceback)

8 1615.0 File "/opt/conda/envs/msnovelist-env/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 443, in _error_catcher

8 1615.0 raise ReadTimeoutError(self._pool, None, "Read timed out.")

8 1615.0 pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.

8 1615.0

8 1615.0 Ran pip subprocess with arguments:

8 1615.0 ['/opt/conda/envs/msnovelist-env/bin/python', '-m', 'pip', 'install', '-U', '-r', '/condaenv.pdw8lrf8.requirements.txt']

8 1615.0 Pip subprocess output:

8 1615.0 Collecting absl-py==0.12.0

8 1615.0 Downloading absl_py-0.12.0-py3-none-any.whl (129 kB)

8 1615.0 Collecting amply==0.1.4

8 1615.0 Downloading amply-0.1.4-py3-none-any.whl (16 kB)

8 1615.0 Collecting argon2-cffi==20.1.0

8 1615.0 Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB)

8 1615.0 Collecting astunparse==1.6.3

8 1615.0 Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)

8 1615.0 Collecting async-generator==1.10

8 1615.0 Downloading async_generator-1.10-py3-none-any.whl (18 kB)

8 1615.0 Collecting bitstring==3.1.7

8 1615.0 Downloading bitstring-3.1.7.tar.gz (195 kB)

8 1615.0 Collecting bleach==3.3.0

8 1615.0 Downloading bleach-3.3.0-py2.py3-none-any.whl (283 kB)

8 1615.0 Collecting cachetools==4.2.1

8 1615.0 Downloading cachetools-4.2.1-py3-none-any.whl (12 kB)

8 1615.0 Collecting cffi==1.14.5

8 1615.0 Downloading cffi-1.14.5-cp37-cp37m-manylinux1_x86_64.whl (402 kB)

8 1615.0 Collecting chardet==4.0.0

8 1615.0 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)

8 1615.0 Collecting chempy==0.8.0

8 1615.0 Downloading chempy-0.8.0.tar.gz (402 kB)

8 1615.0 Collecting defusedxml==0.7.1

8 1615.0 Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB)

8 1615.0 Collecting docutils==0.16

8 1615.0 Downloading docutils-0.16-py2.py3-none-any.whl (548 kB)

8 1615.0 Collecting dot2tex==2.11.3

8 1615.0 Downloading dot2tex-2.11.3-py2.py3-none-any.whl (36 kB)

8 1615.0 Collecting flatbuffers==1.12

8 1615.0 Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)

8 1615.0 Collecting gast==0.3.3

8 1615.0 Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)

8 1615.0 Collecting google-auth==1.28.0

8 1615.0 Downloading google_auth-1.28.0-py2.py3-none-any.whl (136 kB)

8 1615.0 Collecting google-auth-oauthlib==0.4.3

8 1615.0 Downloading google_auth_oauthlib-0.4.3-py2.py3-none-any.whl (18 kB)

8 1615.0 Collecting google-pasta==0.2.0

8 1615.0 Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)

8 1615.0 Collecting grpcio==1.32.0

8 1615.0 Downloading grpcio-1.32.0-cp37-cp37m-manylinux2014_x86_64.whl (3.8 MB)

8 1615.0 Collecting idna==2.10

8 1615.0 Downloading idna-2.10-py2.py3-none-any.whl (58 kB)

8 1615.0 Collecting ipywidgets==7.6.3

8 1615.0 Downloading ipywidgets-7.6.3-py2.py3-none-any.whl (121 kB)

8 1615.0 Collecting jupyter==1.0.0

8 1615.0 Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)

8 1615.0 Collecting jupyter-console==6.3.0

8 1615.0 Downloading jupyter_console-6.3.0-py3-none-any.whl (22 kB)

8 1615.0 Collecting jupyterlab-pygments==0.1.2

8 1615.0 Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB)

8 1615.0 Collecting jupyterlab-widgets==1.0.0

8 1615.0 Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB)

8 1615.0 Collecting keras-preprocessing==1.1.2

8 1615.0 Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)

8 1615.0 Collecting markdown==3.3.4

8 1615.0 Downloading Markdown-3.3.4-py3-none-any.whl (97 kB)

8 1615.0 Collecting mistune==0.8.4

8 1615.0 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB)

8 1615.0 Collecting molmass==2020.6.10

8 1615.0 Downloading molmass-2020.6.10-py3-none-any.whl (65 kB)

8 1615.0 Collecting mpmath==1.2.1

8 1615.0 Downloading mpmath-1.2.1-py3-none-any.whl (532 kB)

8 1615.0 Collecting nbclient==0.5.3

8 1615.0 Downloading nbclient-0.5.3-py3-none-any.whl (82 kB)

8 1615.0 Collecting nbconvert==6.0.7

8 1615.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB)

8 1615.0 Collecting nbformat==5.1.2

8 1615.0 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB)

8 1615.0 Collecting nest-asyncio==1.5.1

8 1615.0 Downloading nest_asyncio-1.5.1-py3-none-any.whl (5.0 kB)

8 1615.0 Collecting notebook==6.3.0

8 1615.0 Downloading notebook-6.3.0-py3-none-any.whl (9.5 MB)

8 1615.0 Collecting oauthlib==3.1.0

8 1615.0 Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)

8 1615.0 Collecting opt-einsum==3.3.0

8 1615.0 Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)

8 1615.0 Collecting packaging==20.9

8 1615.0 Downloading packaging-20.9-py2.py3-none-any.whl (40 kB)

8 1615.0 Collecting pandocfilters==1.4.3

8 1615.0 Downloading pandocfilters-1.4.3.tar.gz (16 kB)

8 1615.0 Collecting prometheus-client==0.9.0

8 1615.0 Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB)

8 1615.0 Collecting protobuf==3.15.6

8 1615.0 Downloading protobuf-3.15.6-cp37-cp37m-manylinux1_x86_64.whl (1.0 MB)

8 1615.0 Collecting pulp==2.4

8 1615.0 Downloading PuLP-2.4-py3-none-any.whl (40.6 MB)

8 1615.0 Collecting pyasn1==0.4.8

8 1615.0 Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)

8 1615.0 Collecting pyasn1-modules==0.2.8

8 1615.0 Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)

8 1615.0 Collecting pycparser==2.20

8 1615.0 Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB)

8 1615.0 Collecting pyneqsys==0.5.7

8 1615.0 Downloading pyneqsys-0.5.7.tar.gz (29 kB)

8 1615.0 Collecting pyodesys==0.14.0

8 1615.0 Downloading pyodesys-0.14.0.tar.gz (242 kB)

8 1615.0 Collecting qtconsole==5.0.3

8 1615.0 Downloading qtconsole-5.0.3-py3-none-any.whl (119 kB)

8 1615.0 Collecting qtpy==1.9.0

8 1615.0 Downloading QtPy-1.9.0-py2.py3-none-any.whl (54 kB)

8 1615.0 Collecting quantities==0.12.4

8 1615.0 Downloading quantities-0.12.4.tar.gz (83 kB)

8 1615.0 Collecting requests==2.25.1

8 1615.0 Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)

8 1615.0 Collecting requests-oauthlib==1.3.0

8 1615.0 Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)

8 1615.0 Collecting rsa==4.7.2

8 1615.0 Downloading rsa-4.7.2-py3-none-any.whl (34 kB)

8 1615.0 Collecting send2trash==1.5.0

8 1615.0 Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB)

8 1615.0 Collecting sym==0.3.4

8 1615.0 Downloading sym-0.3.4.tar.gz (17 kB)

8 1615.0 Collecting sympy==1.7.1

8 1615.0 Downloading sympy-1.7.1-py3-none-any.whl (5.9 MB)

8 1615.0 Collecting tensorboard==2.4.1

8 1615.0 Downloading tensorboard-2.4.1-py3-none-any.whl (10.6 MB)

8 1615.0 Collecting tensorboard-plugin-wit==1.8.0

8 1615.0 Downloading tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)

8 1615.0 Collecting tensorflow==2.4.1

8 1615.0 Downloading tensorflow-2.4.1-cp37-cp37m-manylinux2010_x86_64.whl (394.3 MB)

8 1615.0

8 1615.0 failed

8 1615.0

8 1615.0 CondaEnvException: Pip failed

8 1615.0


executor failed running [/bin/sh -c /opt/conda/bin/conda env create -f /msnovelist-env.yml]: exit code: 1 PS C:\temp\MSNovelist>

meowcat commented 2 years ago

Hi, this seems to be a HTTP timeout while downloading tensorflow. Are you working in a place with particularly bad internet? https://stackoverflow.com/questions/66140105/keyerror-when-installing-tensorflow I will try to add a timeout extension in the dockerfile later today.

About the Bioinf Jena issues, to me that looks like a firewall issue on your laptop. Since the Maven build is the first step in the Docker file, it seems to be working on your second laptop, so I can't think of anything else that would be the problem. Except if your Maven image is somehow broken, but I don't see why that should be the case.

I guess I will also push a pre-built image to Docker registry (but for the sake of reproducibility the build should still work...)

meowcat commented 2 years ago

OK, so:

stolltho commented 2 years ago

Thanks, I can now confirm that the installation via docker pull stravsm/msnovelist (~6.5 GB) and docker build . -t msnovelist both work

meowcat commented 2 years ago

Super, thanks for testing and reporting!