toolchain_activate.sh:3: = not found

[nehaljwani]

From @Monduiz on November 5, 2018 16:13

Current Behavior

On activating / deactivating environment I receive this message:

/Users/<user>/anaconda3/envs/ds/etc/conda/activate.d/toolchain_activate.sh:3: = not found

On installing a package I receive:

/Users/<user>/anaconda3/envs/ds/etc/conda/deactivate.d/toolchain_deactivate.sh:3: = not found /Users/<user/anaconda3/envs/ds/etc/conda/activate.d/toolchain_activate.sh:3: = not found

Steps to Reproduce

source activate ds
source deactivate ds
conda install -c conda-forge tensorflow 

Expected Behavior

No message should appear.

Environment Information

`conda info`

``` active environment : ds active env location : /Users//anaconda3/envs/ds shell level : 1 user config file : /Users//.condarc populated config files : conda version : 4.5.11 conda-build version : 3.16.1 python version : 3.6.6.final.0 base environment : /Users//anaconda3 (writable) channel URLs : https://repo.anaconda.com/pkgs/main/osx-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/osx-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/osx-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/pro/osx-64 https://repo.anaconda.com/pkgs/pro/noarch package cache : /Users//anaconda3/pkgs /Users//.conda/pkgs envs directories : /Users//anaconda3/envs /Users//.conda/envs platform : osx-64 user-agent : conda/4.5.11 requests/2.19.1 CPython/3.6.6 Darwin/18.2.0 OSX/10.14.1 UID:GID : 501:20 netrc file : None offline mode : False ```

`conda config --show-sources`

``` empty ```

`conda list --show-channel-urls`

``` # packages in environment at /Users//anaconda3/envs/ds: # # Name Version Build Channel absl-py 0.5.0 py_0 conda-forge alabaster 0.7.11 py36_0 defaults anaconda custom py36ha4fed55_0 defaults anaconda-client 1.7.2 py36_0 defaults anaconda-project 0.8.2 py36_0 defaults appdirs 1.4.3 py36h28b3542_0 defaults appnope 0.1.0 py36hf537a9a_0 defaults appscript 1.0.1 py36h1de35cc_1 defaults asn1crypto 0.24.0 py36_0 defaults astor 0.7.1 py_0 conda-forge astroid 2.0.4 py36_0 defaults astropy 3.0.4 py36h1de35cc_0 defaults atomicwrites 1.2.1 py36_0 defaults attrs 18.2.0 py36h28b3542_0 defaults automat 0.7.0 py36_0 defaults babel 2.6.0 py36_0 defaults backcall 0.1.0 py36_0 defaults backports 1.0 py36_1 defaults backports.shutil_get_terminal_size 1.0.0 py36_2 defaults beautifulsoup4 4.6.3 py36_0 defaults bitarray 0.8.3 py36h1de35cc_0 defaults bkcharts 0.2 py36h073222e_0 defaults blas 1.0 mkl defaults blaze 0.11.3 py36_0 defaults bleach 2.1.4 py36_0 defaults blosc 1.14.4 hd9629dc_0 defaults bokeh 0.13.0 py36_0 defaults boto 2.49.0 py36_0 defaults bottleneck 1.2.1 py36h1d22016_1 defaults bzip2 1.0.6 h1de35cc_5 defaults c-ares 1.14.0 h470a237_0 conda-forge ca-certificates 2018.03.07 0 defaults certifi 2018.10.15 py36_0 defaults cffi 1.11.5 py36h6174b99_1 defaults chardet 3.0.4 py36_1 defaults click 6.7 py36hec950be_0 defaults cloudpickle 0.5.5 py36_0 defaults clyent 1.2.2 py36_1 defaults colorama 0.3.9 py36hd29a30c_0 defaults constantly 15.1.0 py36h28b3542_0 defaults contextlib2 0.5.5 py36hd66e5e7_0 defaults cryptography 2.3.1 py36hdbc3d79_0 defaults curl 7.61.0 ha441bb4_0 defaults cycler 0.10.0 py36hfc81398_0 defaults cython 0.28.5 py36h0a44026_0 defaults cytoolz 0.9.0.1 py36h1de35cc_1 defaults dask 0.19.1 py36_0 defaults dask-core 0.19.1 py36_0 defaults datashape 0.5.4 py36_1 defaults dbus 1.13.2 h760590f_1 defaults decorator 4.3.0 py36_0 defaults defusedxml 0.5.0 py36_1 defaults distributed 1.23.1 py36_0 defaults docutils 0.14 py36hbfde631_0 defaults entrypoints 0.2.3 py36_2 defaults et_xmlfile 1.0.1 py36h1315bdc_0 defaults expat 2.2.6 h0a44026_0 defaults fastcache 1.0.2 py36h1de35cc_2 defaults filelock 3.0.8 py36_0 defaults flask 1.0.2 py36_1 defaults flask-cors 3.0.6 py36_0 defaults freetype 2.9.1 hb4e5f40_0 defaults gast 0.2.0 py_0 conda-forge get_terminal_size 1.0.0 h7520d66_0 defaults gettext 0.19.8.1 h15daf44_3 defaults gevent 1.3.6 py36h1de35cc_0 defaults glib 2.56.2 hd9629dc_0 defaults glob2 0.6 py36_0 defaults gmp 6.1.2 hb37e062_1 defaults gmpy2 2.0.8 py36h6ef4df4_2 defaults greenlet 0.4.15 py36h1de35cc_0 defaults grpcio 1.14.1 py36hd60e7a3_0 conda-forge h5py 2.8.0 py36h878fce3_3 defaults hdf5 1.10.2 hfa1e0ec_1 defaults heapdict 1.0.0 py36_2 defaults html5lib 1.0.1 py36_0 defaults hyperlink 18.0.0 py36_0 defaults icu 58.2 h4b95b61_1 defaults idna 2.7 py36_0 defaults imageio 2.4.1 py36_0 defaults imagesize 1.1.0 py36_0 defaults incremental 17.5.0 py36_0 defaults intel-openmp 2019.0 118 defaults ipykernel 4.9.0 py36_1 defaults ipython 6.5.0 py36_0 defaults ipython_genutils 0.2.0 py36h241746c_0 defaults ipywidgets 7.4.1 py36_0 defaults isort 4.3.4 py36_0 defaults itsdangerous 0.24 py36_1 defaults jbig 2.1 h4d881f8_0 defaults jdcal 1.4 py36_0 defaults jedi 0.12.1 py36_0 defaults jinja2 2.10 py36_0 defaults jpeg 9b he5867d9_2 defaults jsonschema 2.6.0 py36hb385e00_0 defaults jupyter 1.0.0 py36_7 defaults jupyter_client 5.2.3 py36_0 defaults jupyter_console 5.2.0 py36_1 defaults jupyter_core 4.4.0 py36_0 defaults jupyterlab 0.34.9 py36_0 defaults jupyterlab_launcher 0.13.1 py36_0 defaults keras 2.2.4 py36_0 conda-forge keras-applications 1.0.4 py_1 conda-forge keras-preprocessing 1.0.2 py_1 conda-forge keyring 13.2.1 py36_0 defaults kiwisolver 1.0.1 py36h0a44026_0 defaults lazy-object-proxy 1.3.1 py36h1de35cc_2 defaults libcurl 7.61.0 hf30b1f0_0 defaults libcxx 4.0.1 h579ed51_0 defaults libcxxabi 4.0.1 hebd6815_0 defaults libedit 3.1.20170329 hb402a30_2 defaults libffi 3.2.1 h475c297_4 defaults libgfortran 3.0.1 h93005f0_2 defaults libgpuarray 0.7.6 h470a237_3 conda-forge libiconv 1.15 hdd342a3_7 defaults libpng 1.6.34 he12f830_0 defaults libprotobuf 3.6.1 hd28b015_0 conda-forge libsodium 1.0.16 h3efe00b_0 defaults libssh2 1.8.0 h322a93b_4 defaults libtiff 4.0.9 hcb84e12_2 defaults libxml2 2.9.8 hab757c2_1 defaults libxslt 1.1.32 hb819dd2_0 defaults llvmlite 0.24.0 py36hc454e04_0 defaults locket 0.2.0 py36hca03003_1 defaults lxml 4.2.5 py36hef8c89e_0 defaults lzo 2.10 h362108e_2 defaults mako 1.0.7 py_1 conda-forge markdown 2.6.11 py_0 conda-forge markupsafe 1.0 py36h1de35cc_1 defaults matplotlib 2.2.3 py36h54f8f79_0 defaults mccabe 0.6.1 py36_1 defaults mistune 0.8.3 py36h1de35cc_1 defaults mkl 2019.0 118 defaults mkl-service 1.1.2 py36h6b9c3cc_5 defaults mkl_fft 1.0.4 py36h5d10147_1 defaults mkl_random 1.0.1 py36h5d10147_1 defaults more-itertools 4.3.0 py36_0 defaults mpc 1.1.0 h6ef4df4_1 defaults mpfr 4.0.1 h3018a27_3 defaults mpmath 1.0.0 py36_2 defaults msgpack-python 0.5.6 py36h04f5b5a_1 defaults multipledispatch 0.6.0 py36_0 defaults nbconvert 5.4.0 py36_1 defaults nbformat 4.4.0 py36h827af21_0 defaults ncurses 6.1 h0a44026_0 defaults networkx 2.1 py36_0 defaults nltk 3.3.0 py36_0 defaults nose 1.3.7 py36_2 defaults notebook 5.6.0 py36_0 defaults numba 0.39.0 py36h6440ff4_0 defaults numexpr 2.6.8 py36h1dc9127_0 defaults numpy 1.15.1 py36h6a91979_0 defaults numpy-base 1.15.1 py36h8a80b8c_0 defaults numpydoc 0.8.0 py36_0 defaults odo 0.5.1 py36hc1af34a_0 defaults olefile 0.46 py36_0 defaults openpyxl 2.5.6 py36_0 defaults openssl 1.0.2p h1de35cc_0 defaults packaging 17.1 py36_0 defaults pandas 0.23.4 py36h6440ff4_0 defaults pandoc 1.19.2.1 ha5e8f32_1 defaults pandocfilters 1.4.2 py36_1 defaults parso 0.3.1 py36_0 defaults partd 0.3.8 py36hf5c4cb8_0 defaults path.py 11.1.0 py36_0 defaults pathlib2 2.3.2 py36_0 defaults patsy 0.5.0 py36_0 defaults pcre 8.42 h378b8a2_0 defaults pep8 1.7.1 py36_0 defaults pexpect 4.6.0 py36_0 defaults pickleshare 0.7.4 py36hf512f8e_0 defaults pillow 5.2.0 py36hb68e598_0 defaults pip 10.0.1 py36_0 defaults pkginfo 1.4.2 py36_1 defaults pluggy 0.7.1 py36h28b3542_0 defaults ply 3.11 py36_0 defaults prometheus_client 0.3.1 py36h28b3542_0 defaults prompt_toolkit 1.0.15 py36haeda067_0 defaults protobuf 3.6.1 py36hfc679d8_1 conda-forge psutil 5.4.7 py36h1de35cc_0 defaults ptyprocess 0.6.0 py36_0 defaults py 1.6.0 py36_0 defaults pyasn1 0.4.4 py36h28b3542_0 defaults pyasn1-modules 0.2.2 py36_0 defaults pycodestyle 2.4.0 py36_0 defaults pycosat 0.6.3 py36h1de35cc_0 defaults pycparser 2.18 py36_1 defaults pycrypto 2.6.1 py36h1de35cc_9 defaults pycurl 7.43.0.2 py36hdbc3d79_0 defaults pyflakes 2.0.0 py36_0 defaults pygments 2.2.0 py36h240cd3f_0 defaults pygpu 0.7.6 py36h7eb728f_0 conda-forge pyhamcrest 1.9.0 py_2 conda-forge pylint 2.1.1 py36_0 defaults pyodbc 4.0.24 py36h0a44026_0 defaults pyopenssl 18.0.0 py36_0 defaults pyparsing 2.2.0 py36_1 defaults pyqt 5.9.2 py36h655552a_2 defaults pysocks 1.6.8 py36_0 defaults pytables 3.4.4 py36h13cba08_0 defaults pytest 3.8.0 py36_0 defaults pytest-arraydiff 0.2 py36h39e3cac_0 defaults pytest-astropy 0.4.0 py36_0 defaults pytest-doctestplus 0.1.3 py36_0 defaults pytest-openfiles 0.3.0 py36_0 defaults pytest-remotedata 0.3.0 py36_0 defaults python 3.6.6 hc167b69_0 defaults python-dateutil 2.7.3 py36_0 defaults python.app 2 py36_8 defaults pytz 2018.5 py36_0 defaults pywavelets 1.0.0 py36h1d22016_0 defaults pyyaml 3.13 py36h1de35cc_0 defaults pyzmq 17.1.2 py36h1de35cc_0 defaults qt 5.9.6 h45cd832_2 defaults qtawesome 0.4.4 py36h468c6fb_0 defaults qtconsole 4.4.1 py36_0 defaults qtpy 1.5.0 py36_0 defaults readline 7.0 h1de35cc_5 defaults requests 2.19.1 py36_0 defaults rope 0.11.0 py36_0 defaults ruamel_yaml 0.15.46 py36h1de35cc_0 defaults scikit-image 0.14.0 py36h0a44026_1 defaults scikit-learn 0.19.2 py36h4f467ca_0 defaults scipy 1.1.0 py36h28f7352_1 defaults seaborn 0.9.0 py36_0 defaults send2trash 1.5.0 py36_0 defaults service_identity 17.0.0 py36h28b3542_0 defaults setuptools 40.2.0 py36_0 defaults simplegeneric 0.8.1 py36_2 defaults singledispatch 3.4.0.3 py36hf20db9d_0 defaults sip 4.19.8 py36h0a44026_0 defaults six 1.11.0 py36_1 defaults snappy 1.1.7 he62c110_3 defaults snowballstemmer 1.2.1 py36h6c7b616_0 defaults sortedcollections 1.0.1 py36_0 defaults sortedcontainers 2.0.5 py36_0 defaults sphinx 1.7.9 py36_0 defaults sphinxcontrib 1.0 py36_1 defaults sphinxcontrib-websupport 1.1.0 py36_1 defaults spyder 3.3.1 py36_1 defaults spyder-kernels 0.2.6 py36_0 defaults sqlalchemy 1.2.11 py36h1de35cc_0 defaults sqlite 3.24.0 ha441bb4_0 defaults statsmodels 0.9.0 py36h1d22016_0 defaults sympy 1.2 py36_0 defaults tblib 1.3.2 py36hda67792_0 defaults tensorboard 1.10.0 py36_0 conda-forge tensorflow 1.10.0 py36_0 conda-forge termcolor 1.1.0 py_2 conda-forge terminado 0.8.1 py36_1 defaults testpath 0.3.1 py36h625a49b_0 defaults theano 1.0.3 py36hfc679d8_1 conda-forge tk 8.6.8 ha441bb4_0 defaults toolchain 2.3.0 0 conda-forge toolchain_c_osx-64 2.3.0 0 conda-forge toolchain_cxx_osx-64 2.3.0 0 conda-forge toolz 0.9.0 py36_0 defaults tornado 5.1 py36h1de35cc_0 defaults tqdm 4.26.0 py36h28b3542_0 defaults traitlets 4.3.2 py36h65bd3ce_0 defaults twisted 17.5.0 py36_0 defaults typed-ast 1.1.0 py36h1de35cc_0 defaults unicodecsv 0.14.1 py36he531d66_0 defaults unixodbc 2.3.7 h1de35cc_0 defaults urllib3 1.23 py36_0 defaults wcwidth 0.1.7 py36h8c6ec74_0 defaults webencodings 0.5.1 py36_1 defaults werkzeug 0.14.1 py36_0 defaults wheel 0.31.1 py36_0 defaults widgetsnbextension 3.4.1 py36_0 defaults wrapt 1.10.11 py36h1de35cc_2 defaults xlrd 1.1.0 py36_1 defaults xlsxwriter 1.1.0 py36_0 defaults xlwings 0.11.8 py36_0 defaults xlwt 1.2.0 py36h5ad1178_0 defaults xz 5.2.4 h1de35cc_4 defaults yaml 0.1.7 hc338f04_2 defaults zeromq 4.2.5 h0a44026_1 defaults zict 0.1.3 py36_0 defaults zlib 1.2.11 hf3cbc9b_2 defaults zope 1.0 py36_1 defaults zope.interface 4.5.0 py36h1de35cc_0 defaults ```

Copied from original issue: conda/conda#7936

[nehaljwani]

From @wwxFromTju on November 9, 2018 9:41

+1

[nehaljwani]

From @Monduiz on November 9, 2018 12:48

After some testing, this appeared after installing keras and tensorflow

[nehaljwani]

From @tedil on November 13, 2018 12:29

I encountered the same issue; I think it's due to the fact that I use zsh instead of bash and the (de)activate.d scripts aren't POSIX compliant, i.e. shell agnostic as stated in #6820. Specifically, [ a == b ] is the culprit, as explained here. Using double brackets should do the trick. However, I also have tensorflow and keras installed, so I'll check if that happens even without those two.

[nehaljwani]

From @Monduiz on November 13, 2018 14:19

I also use zsh

[nehaljwani]

From @HaleTom on November 18, 2018 11:10

@tedil It's not due to zsh, as the top line is #!/bin/bash.

The solution is to either use [[ ]] or a single =.

[nehaljwani]

From @oleastre on November 19, 2018 11:22

@HaleTom to use the activate scripts, you source them, not execute them. Which means that the top line #!/bin/bash is simply ignored. When you source activate via zsh, it executes the content of the activate file using the zsh interpreter. And as activate itself sources the toolchain_activate.sh script, the content of toolchain_activate.sh is executed by the zsh interpreter.

[khughitt]

@nehaljwani Do you know if this issue is still being tracked somewhere?

[Tusko]

How to fix it?

[nehaljwani]

I have opened up #54 to fix this.

[brandonwillard]

Locally, in my .zshrc, I changed the conda activation steps to source the script using

emulate bash -c '. $ANACONDA_HOME/etc/profile.d/conda.sh'

and that seems to work (for env activation, at least).

[kevinUCeqEng]

Thank you @nehaljwani and @brandonwillard - I am a zsh user and encountered this same issue after installing Keras and TensorFlow. I replaced source [...] conda.sh with emulate bash [...] conda.sh in my .zshrc script and it worked for me.