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ska3-perl installation fails on linux-64 (kadi) #108

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taldcroft opened this issue Feb 1, 2019 · 6 comments
Closed

ska3-perl installation fails on linux-64 (kadi) #108

taldcroft opened this issue Feb 1, 2019 · 6 comments

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@taldcroft
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kadi$ which conda
/export/tom/anaconda/bin/conda

kadi$ conda create -n arc3 -c $ska3conda ska3-flight ska3-perl
Solving environment: - 
Warning: >10 possible package resolutions (only showing differing packages):
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0
  - https://icxc.cfa.harvard.edu/aspect/ska3-conda::cfitsio-3.450-0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-app-cpanminus-1.7044-pl526_0, https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0, https://icxc.harvard.edu/aspect/ska3-conda::perl-extutils-f77-1.20-pl526_0
  ... and othedone


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.11
  latest version: 4.6.2

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /export/tom/anaconda/envs/arc3

  added / updated specs: 
    - ska3-flight
    - ska3-perl


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    agasc-4.7                  |             py_0         115 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    astropy-3.0.3              |           py36_2         9.7 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pycrypto-2.6.1             |   py36h14c3975_9         465 KB  defaults
    beautifulsoup4-4.6.0       |           py36_1         133 KB  defaults
    mistune-0.7.4              |   py36hbab8784_0          52 KB  defaults
    chandra_aca-4.24           |             py_0         233 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    olefile-0.44               |   py36h79f9f78_0          52 KB  defaults
    pandocfilters-1.4.2        |           py36_1          13 KB  defaults
    python-dateutil-2.6.1      |   py36h88d3b88_1         237 KB  defaults
    perl-extutils-f77-1.20     |          pl526_0          13 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-pgplot-2.19           |          pl526_0          39 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    sphinx-1.6.3               |   py36he5f0bdb_0         1.6 MB  defaults
    nose-1.3.7                 |           py36_2         214 KB  defaults
    configobj-5.0.6            |           py36_1          54 KB  defaults
    astroid-1.5.3              |   py36hbdb9df2_0         373 KB  defaults
    isl-0.12.2                 |                0         1.1 MB  defaults
    acis_taco-4.0.1            |           py36_0          27 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    path.py-10.3.1             |   py36he0c6f6d_0          51 KB  defaults
    perl-app-env-ascds-0.04    |          pl526_0           7 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    zlib-1.2.11                |       h7b6447c_3         120 KB  defaults
    lxml-3.8.0                 |   py36h6c6e760_0         1.1 MB  defaults
    ska3-core-2018.08.27       |                0           5 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    numpydoc-0.7.0             |   py36h18f165f_0          38 KB  defaults
    chandra.maneuver-3.7.1     |             py_0           9 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    kadi-3.16.3                |             py_0         281 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    mccabe-0.6.1               |           py36_1          14 KB  defaults
    pgplot-5.2.2               |                0         3.7 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    jupyter-1.0.0              |           py36_7           6 KB  defaults
    pyyaml-3.12                |   py36hafb9ca4_1         159 KB  defaults
    pytest-3.2.1               |   py36h11ad3bb_1         282 KB  defaults
    jupyter_console-5.2.0      |           py36_1          36 KB  defaults
    ska.engarchive-4.44        |             py_0         121 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    jupyter_client-5.1.0       |   py36h614e9ea_0         117 KB  defaults
    libssh2-1.8.0              |       h8c220ad_2         243 KB  defaults
    ipython-6.1.0              |   py36hc72a948_1        1023 KB  defaults
    perl-ska-agasc-3.5.0       |          pl526_1          12 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    decorator-4.1.2            |   py36hd076ac8_0          15 KB  defaults
    perl-ska-classic-0.5       |          pl526_0         7.8 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pycodestyle-2.3.1          |   py36hf609f19_0          55 KB  defaults
    setuptools-36.5.0          |   py36he42e2e1_0         512 KB  defaults
    sphinxcontrib-websupport-1.0.1|   py36hb5cb234_1          36 KB  defaults
    mpc-1.0.3                  |       hec55b23_5          95 KB  defaults
    notebook-5.0.0             |   py36h0b20546_2         5.7 MB  defaults
    hopper-4.4                 |             py_0          15 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    isort-4.2.15               |   py36had401c0_0          57 KB  defaults
    terminado-0.6              |   py36ha25a19f_0          21 KB  defaults
    ska_sync-4.2               |             py_0           5 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    gmp-6.1.2                  |       h6c8ec71_1         744 KB  defaults
    runipy-0.1.5               |           py36_1          17 KB  defaults
    pycparser-2.19             |           py36_0         174 KB  defaults
    libffi-3.2.1               |       hd88cf55_4          43 KB  defaults
    pip-9.0.1                  |           py36_5         2.2 MB  defaults
    acis_thermal_check-v2.8.0  |             py_0          28 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    six-1.10.0                 |   py36hcac75e4_1          20 KB  defaults
    ska3-flight-2019.01.11     |                0           3 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-cxc-sysarch-1.00      |          pl526_0          22 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    typing-3.6.4               |           py36_0          45 KB  defaults
    markupsafe-1.0             |   py36h14c3975_1          24 KB  defaults
    ska3-template-2018.08.12   |                0           5 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chandra.cmd_states-3.14.2  |             py_0          22 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    libxslt-1.1.29             |                0         983 KB  defaults
    jbig-2.1                   |       hdba287a_0          41 KB  defaults
    pytz-2017.2                |   py36hc2ccc2a_1         189 KB  defaults
    xija-4.13                  |           py36_0         170 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    wrapt-1.10.11              |   py36h14c3975_2          45 KB  defaults
    jupyter_core-4.3.0         |   py36h357a921_0          60 KB  defaults
    ca-certificates-2018.12.5  |                0         123 KB  defaults
    asn1crypto-0.22.0          |   py36h265ca7c_1         149 KB  defaults
    lazy-object-proxy-1.3.1    |   py36h14c3975_2          30 KB  defaults
    ska3-perl-2019.01.24       |                0           2 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    clyent-1.2.2               |           py36_1          18 KB  defaults
    perl-app-cpanminus-1.7044  |          pl526_0         234 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pyparsing-2.2.0            |           py36_1          96 KB  defaults
    perl-chandra-time-0.9.2    |          pl526_0          13 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pep8-1.7.0                 |   py36h26ade29_0          51 KB  defaults
    idna-2.8                   |           py36_0         133 KB  defaults
    ipykernel-4.6.1            |   py36hbf841aa_0         139 KB  defaults
    jplephem-2.8               |             py_0          30 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    wheel-0.29.0               |   py36he7f4e38_1          88 KB  defaults
    perl-5.26.2                |                0        15.8 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    jedi-0.10.2                |   py36h552def0_0         248 KB  defaults
    mpfr-3.1.5                 |       h11a74b3_2         444 KB  defaults
    jinja2-2.9.6               |   py36h489bce4_1         362 KB  defaults
    chandra.time-3.20.2        |           py36_0         124 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    py-1.4.34                  |   py36h0712aa3_1         134 KB  defaults
    qtpy-1.3.1                 |   py36h3691cc8_0          41 KB  defaults
    bokeh-0.12.7               |   py36h169c5fd_1         4.3 MB  defaults
    cffi-1.10.0                |   py36had8d393_1         206 KB  defaults
    cloog-0.18.0               |                0         617 KB  defaults
    proseco-4.3.1              |             py_0          67 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    imagesize-0.7.1            |   py36h52d8127_0           6 KB  defaults
    gcc-4.8.5                  |                7        66.6 MB  defaults
    sphinxcontrib-1.0          |           py36_1           3 KB  defaults
    perl-dbd-sybase-1.15       |          pl526_0          98 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    patchelf-0.9               |       he6710b0_3          71 KB  defaults
    pandas-0.20.3              |   py36h6022372_2         9.9 MB  defaults
    babel-2.5.0                |   py36h7d14adf_0         4.7 MB  defaults
    libxcb-1.12                |       hcd93eb1_4         446 KB  defaults
    psutil-5.2.2               |   py36h74c8701_0         249 KB  defaults
    starcheck-13.0             |             py_0         131 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    simplegeneric-0.8.1        |           py36_2           9 KB  defaults
    tornado-4.5.2              |   py36h1283b2a_0         616 KB  defaults
    nbpresent-3.0.2            |           py36_1         1.3 MB  defaults
    chardet-3.0.4              |           py36_1         189 KB  defaults
    cfitsio-3.450              |                0         1.9 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    networkx-1.11              |           py36_1         1.5 MB  defaults
    mica-3.15                  |             py_0          94 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pkg-config-0.29.2          |       h1bed415_8         273 KB  defaults
    perl-core-deps-0.1         |                0        15.8 MB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    openssl-1.0.2l             |       h077ae2c_5         3.4 MB  defaults
    xtime-1.2.2                |                0         156 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    packaging-16.8             |   py36ha668100_1          31 KB  defaults
    pylint-1.7.2               |   py36h484ab97_0         690 KB  defaults
    alabaster-0.7.10           |   py36h306e16b_0          15 KB  defaults
    ptyprocess-0.5.2           |   py36h69acd42_0          22 KB  defaults
    task_schedule-4.1          |                0          10 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    watch_cron_logs-4.1        |                0           6 KB  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    entrypoints-0.2.3          |           py36_2           9 KB  defaults
    pyqt-5.6.0                 |   py36h22d08a2_6         5.4 MB  defaults
    pexpect-4.2.1              |   py36h3b9d41b_0          71 KB  defaults
    ------------------------------------------------------------
                                           Total:       177.6 MB

The following NEW packages will be INSTALLED:

    _nb_ext_conf:             0.4.0-py36_1           defaults                                      
    acis_taco:                4.0.1-py36_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    acis_thermal_check:       v2.8.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    acisfp_check:             v2.4.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    agasc:                    4.7-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    alabaster:                0.7.10-py36h306e16b_0  defaults                                      
    anaconda-client:          1.6.3-py36_0           defaults                                      
    annie:                    0.5-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    asn1crypto:               0.22.0-py36h265ca7c_1  defaults                                      
    astroid:                  1.5.3-py36hbdb9df2_0   defaults                                      
    astropy:                  3.0.3-py36_2           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    babel:                    2.5.0-py36h7d14adf_0   defaults                                      
    backstop_history:         v1.1.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    beautifulsoup4:           4.6.0-py36_1           defaults                                      
    bkcharts:                 0.2-py36_0             defaults                                      
    blas:                     1.0-mkl                defaults                                      
    bleach:                   1.5.0-py36_0           defaults                                      
    bokeh:                    0.12.7-py36h169c5fd_1  defaults                                      
    ca-certificates:          2018.12.5-0            defaults                                      
    certifi:                  2016.2.28-py36_0       defaults                                      
    cffi:                     1.10.0-py36had8d393_1  defaults                                      
    cfitsio:                  3.450-0                https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chandra.cmd_states:       3.14.2-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chandra.maneuver:         3.7.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chandra.time:             3.20.2-py36_0          https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chandra_aca:              4.24-py_0              https://icxc.cfa.harvard.edu/aspect/ska3-conda
    chardet:                  3.0.4-py36_1           defaults                                      
    cloog:                    0.18.0-0               defaults                                      
    clyent:                   1.2.2-py36_1           defaults                                      
    configobj:                5.0.6-py36_1           defaults                                      
    cryptography:             1.8.1-py36_0           defaults                                      
    curl:                     7.54.1-0               defaults                                      
    cxotime:                  3.1-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    cycler:                   0.10.0-py36_0          defaults                                      
    cython:                   0.26-py36_0            defaults                                      
    dbus:                     1.10.20-0              defaults                                      
    dea_check:                v2.2.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    decorator:                4.1.2-py36hd076ac8_0   defaults                                      
    django:                   1.11.3-py36_0          defaults                                      
    docutils:                 0.14-py36_0            defaults                                      
    dpa_check:                v2.3.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    entrypoints:              0.2.3-py36_2           defaults                                      
    expat:                    2.1.0-0                defaults                                      
    fontconfig:               2.12.1-3               defaults                                      
    freetype:                 2.5.5-2                defaults                                      
    gcc:                      4.8.5-7                defaults                                      
    gitdb2:                   2.0.0-py36_0           defaults                                      
    gitpython:                2.1.3-py36_0           defaults                                      
    glib:                     2.50.2-1               defaults                                      
    gmp:                      6.1.2-h6c8ec71_1       defaults                                      
    gst-plugins-base:         1.8.0-0                defaults                                      
    gstreamer:                1.8.0-0                defaults                                      
    h5py:                     2.7.0-np112py36_0      defaults                                      
    hdf5:                     1.8.17-2               defaults                                      
    hopper:                   4.4-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    html5lib:                 0.999-py36_0           defaults                                      
    icu:                      54.1-0                 defaults                                      
    idna:                     2.8-py36_0             defaults                                      
    imagesize:                0.7.1-py36h52d8127_0   defaults                                      
    ipykernel:                4.6.1-py36hbf841aa_0   defaults                                      
    ipyparallel:              6.0.2-py36_0           defaults                                      
    ipython:                  6.1.0-py36hc72a948_1   defaults                                      
    ipython_genutils:         0.2.0-py36_0           defaults                                      
    ipywidgets:               7.3.0-py36_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    isl:                      0.12.2-0               defaults                                      
    isort:                    4.2.15-py36had401c0_0  defaults                                      
    jbig:                     2.1-hdba287a_0         defaults                                      
    jedi:                     0.10.2-py36h552def0_0  defaults                                      
    jinja2:                   2.9.6-py36h489bce4_1   defaults                                      
    jpeg:                     9b-h024ee3a_2          defaults                                      
    jplephem:                 2.8-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    jsonschema:               2.6.0-py36_0           defaults                                      
    jupyter:                  1.0.0-py36_7           defaults                                      
    jupyter_client:           5.1.0-py36h614e9ea_0   defaults                                      
    jupyter_console:          5.2.0-py36_1           defaults                                      
    jupyter_core:             4.3.0-py36h357a921_0   defaults                                      
    kadi:                     3.16.3-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    krb5:                     1.13.2-0               defaults                                      
    lazy-object-proxy:        1.3.1-py36h14c3975_2   defaults                                      
    libffi:                   3.2.1-hd88cf55_4       defaults                                      
    libgcc:                   4.8.5-2                defaults                                      
    libgcc-ng:                8.2.0-hdf63c60_1       defaults                                      
    libgfortran:              3.0.0-1                defaults                                      
    libiconv:                 1.14-0                 defaults                                      
    libpng:                   1.6.30-1               defaults                                      
    libsodium:                1.0.10-0               defaults                                      
    libssh2:                  1.8.0-h8c220ad_2       defaults                                      
    libstdcxx-ng:             8.2.0-hdf63c60_1       defaults                                      
    libtiff:                  4.0.6-3                defaults                                      
    libxcb:                   1.12-hcd93eb1_4        defaults                                      
    libxml2:                  2.9.4-0                defaults                                      
    libxslt:                  1.1.29-0               defaults                                      
    line_profiler:            2.0-py36_0             defaults                                      
    llvmlite:                 0.18.0-py36_0          defaults                                      
    lxml:                     3.8.0-py36h6c6e760_0   defaults                                      
    markupsafe:               1.0-py36h14c3975_1     defaults                                      
    matplotlib:               2.0.2-np112py36_0      defaults                                      
    maude:                    3.2-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    mccabe:                   0.6.1-py36_1           defaults                                      
    mica:                     3.15-py_0              https://icxc.cfa.harvard.edu/aspect/ska3-conda
    mistune:                  0.7.4-py36hbab8784_0   defaults                                      
    mkl:                      2017.0.3-0             defaults                                      
    mpc:                      1.0.3-hec55b23_5       defaults                                      
    mpfr:                     3.1.5-h11a74b3_2       defaults                                      
    nb_anacondacloud:         1.4.0-py36_0           defaults                                      
    nb_conda:                 2.2.0-py36_0           defaults                                      
    nb_conda_kernels:         2.1.0-py36_0           defaults                                      
    nbconvert:                5.2.1-py36_0           defaults                                      
    nbformat:                 4.4.0-py36_0           defaults                                      
    nbpresent:                3.0.2-py36_1           defaults                                      
    networkx:                 1.11-py36_1            defaults                                      
    nose:                     1.3.7-py36_2           defaults                                      
    notebook:                 5.0.0-py36h0b20546_2   defaults                                      
    numba:                    0.33.0-np112py36_0     defaults                                      
    numexpr:                  2.6.2-np112py36_0      defaults                                      
    numpy:                    1.12.1-py36_0          defaults                                      
    numpydoc:                 0.7.0-py36h18f165f_0   defaults                                      
    olefile:                  0.44-py36h79f9f78_0    defaults                                      
    openssl:                  1.0.2l-h077ae2c_5      defaults                                      
    packaging:                16.8-py36ha668100_1    defaults                                      
    pandas:                   0.20.3-py36h6022372_2  defaults                                      
    pandocfilters:            1.4.2-py36_1           defaults                                      
    paramiko:                 2.1.2-py36_0           defaults                                      
    parse_cm:                 3.4-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    patchelf:                 0.9-he6710b0_3         defaults                                      
    path.py:                  10.3.1-py36he0c6f6d_0  defaults                                      
    pcre:                     8.39-1                 defaults                                      
    pep8:                     1.7.0-py36h26ade29_0   defaults                                      
    perl:                     5.26.2-0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-app-cpanminus:       1.7044-pl526_0         https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-app-env-ascds:       0.04-pl526_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-chandra-time:        0.9.2-pl526_0          https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-core-deps:           0.1-0                  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-cxc-sysarch:         1.00-pl526_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-dbd-sybase:          1.15-pl526_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-extutils-f77:        1.20-pl526_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-pgplot:              2.19-pl526_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-ska-agasc:           3.5.0-pl526_1          https://icxc.cfa.harvard.edu/aspect/ska3-conda
    perl-ska-classic:         0.5-pl526_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pexpect:                  4.2.1-py36h3b9d41b_0   defaults                                      
    pgplot:                   5.2.2-0                https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pickleshare:              0.7.4-py36_0           defaults                                      
    pillow:                   4.2.1-py36_0           defaults                                      
    pip:                      9.0.1-py36_5           defaults                                      
    pkg-config:               0.29.2-h1bed415_8      defaults                                      
    prompt_toolkit:           1.0.15-py36_0          defaults                                      
    proseco:                  4.3.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    psmc_check:               v1.2.0-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    psutil:                   5.2.2-py36h74c8701_0   defaults                                      
    ptyprocess:               0.5.2-py36h69acd42_0   defaults                                      
    py:                       1.4.34-py36h0712aa3_1  defaults                                      
    pyasn1:                   0.2.3-py36_0           defaults                                      
    pycodestyle:              2.3.1-py36hf609f19_0   defaults                                      
    pycparser:                2.19-py36_0            defaults                                      
    pycrypto:                 2.6.1-py36h14c3975_9   defaults                                      
    pyflakes:                 1.6.0-py36_0           defaults                                      
    pygments:                 2.2.0-py36_0           defaults                                      
    pylint:                   1.7.2-py36h484ab97_0   defaults                                      
    pyparsing:                2.2.0-py36_1           defaults                                      
    pyqt:                     5.6.0-py36h22d08a2_6   defaults                                      
    pytables:                 3.4.2-np112py36_0      defaults                                      
    pytest:                   3.2.1-py36h11ad3bb_1   defaults                                      
    pytest-arraydiff:         0.2-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pytest-astropy:           0.4.0-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pytest-doctestplus:       0.1.3-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pytest-openfiles:         0.3.0-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pytest-remotedata:        0.3.0-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    python:                   3.6.2-0                defaults                                      
    python-dateutil:          2.6.1-py36h88d3b88_1   defaults                                      
    pytz:                     2017.2-py36hc2ccc2a_1  defaults                                      
    pyyaks:                   3.3.4-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    pyyaml:                   3.12-py36hafb9ca4_1    defaults                                      
    pyzmq:                    16.0.2-py36_0          defaults                                      
    qt:                       5.6.2-5                defaults                                      
    qtawesome:                0.4.4-py36_0           defaults                                      
    qtconsole:                4.3.1-py36_0           defaults                                      
    qtpy:                     1.3.1-py36h3691cc8_0   defaults                                      
    quaternion:               3.4.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    readline:                 6.2-2                  defaults                                      
    requests:                 2.14.2-py36_0          defaults                                      
    rope:                     0.9.4-py36_1           defaults                                      
    runipy:                   0.1.5-py36_1           defaults                                      
    scikit-learn:             0.19.0-np112py36_0     defaults                                      
    scipy:                    0.19.1-np112py36_0     defaults                                      
    setuptools:               36.5.0-py36he42e2e1_0  defaults                                      
    simplegeneric:            0.8.1-py36_2           defaults                                      
    singledispatch:           3.4.0.3-py36_0         defaults                                      
    sip:                      4.18-py36_0            defaults                                      
    six:                      1.10.0-py36hcac75e4_1  defaults                                      
    ska.arc5gl:               3.1.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.astro:                3.2.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.dbi:                  3.8.2-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.engarchive:           4.44-py_0              https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.file:                 3.4.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.ftp:                  3.5-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.matplotlib:           3.11.2-py_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.numpy:                3.8.1-py36_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.parsecm:              3.3.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.quatutil:             3.3.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.shell:                3.3.3-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.sun:                  3.5-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska.tdb:                  3.5.1-py_0             https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska3-core:                2018.08.27-0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska3-flight:              2019.01.11-0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska3-perl:                2019.01.24-0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska3-template:            2018.08.12-0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska_path:                 3.1-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    ska_sync:                 4.2-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    smmap2:                   2.0.1-py36_0           defaults                                      
    snowballstemmer:          1.2.1-py36_0           defaults                                      
    sphinx:                   1.6.3-py36he5f0bdb_0   defaults                                      
    sphinxcontrib:            1.0-py36_1             defaults                                      
    sphinxcontrib-websupport: 1.0.1-py36hb5cb234_1   defaults                                      
    sqlite:                   3.13.0-0               defaults                                      
    starcheck:                13.0-py_0              https://icxc.cfa.harvard.edu/aspect/ska3-conda
    tables3_api:              0.1-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    task_schedule:            4.1-0                  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    terminado:                0.6-py36ha25a19f_0     defaults                                      
    testpath:                 0.3.1-py36_0           defaults                                      
    testr:                    3.2-py_0               https://icxc.cfa.harvard.edu/aspect/ska3-conda
    tk:                       8.5.18-0               defaults                                      
    tornado:                  4.5.2-py36h1283b2a_0   defaults                                      
    traitlets:                4.3.2-py36_0           defaults                                      
    typing:                   3.6.4-py36_0           defaults                                      
    watch_cron_logs:          4.1-0                  https://icxc.cfa.harvard.edu/aspect/ska3-conda
    wcwidth:                  0.1.7-py36_0           defaults                                      
    wheel:                    0.29.0-py36he7f4e38_1  defaults                                      
    widgetsnbextension:       3.3.0-py36_0           https://icxc.cfa.harvard.edu/aspect/ska3-conda
    wrapt:                    1.10.11-py36h14c3975_2 defaults                                      
    xija:                     4.13-py36_0            https://icxc.cfa.harvard.edu/aspect/ska3-conda
    xtime:                    1.2.2-0                https://icxc.cfa.harvard.edu/aspect/ska3-conda
    xz:                       5.2.4-h14c3975_4       defaults                                      
    yaml:                     0.1.6-0                defaults                                      
    zeromq:                   4.1.5-0                defaults                                      
    zlib:                     1.2.11-h7b6447c_3      defaults                                      

Proceed ([y]/n)? y


Downloading and Extracting Packages
agasc-4.7            | 115 KB    | ############################################################ | 100% 
  ... <snip>
pexpect-4.2.1        | 71 KB     | ############################################################ | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: \ dbus post-link :: /etc/machine-id not found ..
dbus post-link :: .. using /proc/sys/kernel/random/boot_id

failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0'.
LinkError: post-link script failed for package https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
running your command again with `-v` will provide additional information
location of failed script: /export/tom/anaconda/envs/arc3/bin/.perl-dbd-sybase-post-link.sh
==> script messages <==
<None>

Attempting to roll back.

Rolling back transaction: done

LinkError: post-link script failed for package https://icxc.cfa.harvard.edu/aspect/ska3-conda::perl-dbd-sybase-1.15-pl526_0
running your command again with `-v` will provide additional information
location of failed script: /export/tom/anaconda/envs/arc3/bin/.perl-dbd-sybase-post-link.sh
==> script messages <==
<None>
@jeanconn
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jeanconn commented Feb 1, 2019

I think this is fixed in sot/skare3-static#7

@jeanconn
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jeanconn commented Feb 1, 2019 •
edited
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If you don't mind adding the test channel for this application (should get you an updated build of perl-dbd-sybase and pgplot at the same versions in the current ska3-perl metapackage) you should be able to test.

@jeanconn
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jeanconn commented Feb 1, 2019

Though I suppose while there is a fix for an issue with the post-link script in perl-dbd-sybase in sot/skare3-static#7 I don't know if it will be a fix for this issue, because kadi should have been able to see the /soft/SYBASE directory and link and not get into the bug. So could also be a new bug. I'll test and fix on kadi.

In the meantime, if perl-dbd-sybase install is broken, you should be able to install the other packages in the metapackage by hand (or add them to requirements for a new arc conda package). Sorry for the hassle.

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I can't reproduce this.

@jeanconn
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Can this be closed?

@taldcroft
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Doing this command from a clean miniconda3 using the specified installer in our user guide was successful. Somehow my conda in /export/tom/anaconda is not happy with things, but that's OK.

This was referenced Nov 12, 2020
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