Try to update all the packages installed failed.

[anthluGH]

Actual Behavior

I downloaded and installed the latest Anaconda3-5.1.0-Windows-x86_64, and I try to update all packages after installing the product. I run the command "conda update --all" with Administrator privilege, it checked and downloaded the packages required, but when installing those packages, the conda shows failed ERROR conda.core.link:_execute(481): An error occurred while installing package 'defaults::ipykernel-4.8.2-py36_0'. LinkError: post-link script failed for package defaults::ipykernel-4.8.2-py36_0 running your command again with -v will provide additional information location of failed script: C:\ProgramData\Anaconda3\Scripts.ipykernel-post-link.bat ==> script messages <==

Attempting to roll back. So it means the update is failed, and I try to use this command "conda clean --all" "conda update conda" "conda update --all" and try again, it also failed and the ERROR message is displayed the same as above. ### Expected Behavior The update should successful. ### Steps to Reproduce Download the latest version Anaconda installer and install on the clean Windows 10 Pro (10.0.16299.248). Open the command prompt with Administrator privilege, type "conda update conda" and "conda update --all". It will download and try to install the package downloaded, and you may see the ERROR message in it. ##### Anaconda or Miniconda version: Anaconda3 5.1.0 Windows-x86_64 ##### Operating System: Windows 10 Pro (10.0.16299.248). ##### `conda info` ``` active environment : None user config file : C:\Users\anthlu\.condarc populated config files : conda version : 4.4.11 conda-build version : 3.0.27 python version : 3.6.3.final.0 base environment : C:\ProgramData\Anaconda3 (writable) channel URLs : https://repo.continuum.io/pkgs/main/win-64 https://repo.continuum.io/pkgs/main/noarch https://repo.continuum.io/pkgs/free/win-64 https://repo.continuum.io/pkgs/free/noarch https://repo.continuum.io/pkgs/r/win-64 https://repo.continuum.io/pkgs/r/noarch https://repo.continuum.io/pkgs/pro/win-64 https://repo.continuum.io/pkgs/pro/noarch https://repo.continuum.io/pkgs/msys2/win-64 https://repo.continuum.io/pkgs/msys2/noarch package cache : C:\ProgramData\Anaconda3\pkgs C:\Users\anthlu\AppData\Local\conda\conda\pkgs envs directories : C:\ProgramData\Anaconda3\envs C:\Users\anthlu\AppData\Local\conda\conda\envs C:\Users\anthlu\.conda\envs platform : win-64 user-agent : conda/4.4.11 requests/2.18.4 CPython/3.6.3 Windows/10 Windows/10.0.16299 administrator : True netrc file : None offline mode : False ``` ##### `conda list --show-channel-urls` ``` # packages in environment at C:\ProgramData\Anaconda3: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0 defaults alabaster 0.7.10 py36hcd07829_0 defaults anaconda custom py36h363777c_0 defaults anaconda-client 1.6.5 py36hd36550c_0 defaults anaconda-navigator 1.6.9 py36hc720852_0 defaults anaconda-project 0.8.0 py36h8b3bf89_0 defaults asn1crypto 0.22.0 py36h8e79faa_1 defaults astroid 1.5.3 py36h9d85297_0 defaults astropy 2.0.2 py36h06391c4_4 defaults babel 2.5.0 py36h35444c1_0 defaults backports 1.0 py36h81696a8_1 defaults backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2 defaults beautifulsoup4 4.6.0 py36hd4cc5e8_1 defaults bitarray 0.8.1 py36h6af124b_0 defaults bkcharts 0.2 py36h7e685f7_0 defaults blaze 0.11.3 py36h8a29ca5_0 defaults bleach 2.0.0 py36h0a7e3d6_0 defaults bokeh 0.12.10 py36h0be3b39_0 defaults boto 2.48.0 py36h1a776d2_1 defaults bottleneck 1.2.1 py36hd119dfa_0 defaults bzip2 1.0.6 vc14hdec8e7a_1 [vc14] defaults ca-certificates 2017.08.26 h94faf87_0 defaults cachecontrol 0.12.3 py36hfe50d7b_0 defaults certifi 2018.1.18 py36_0 defaults cffi 1.10.0 py36hae3d1b5_1 defaults chardet 3.0.4 py36h420ce6e_1 defaults click 6.7 py36hec8c647_0 defaults cloudpickle 0.4.0 py36h639d8dc_0 defaults clyent 1.2.2 py36hb10d595_1 defaults colorama 0.3.9 py36h029ae33_0 defaults comtypes 1.1.2 py36heb9b3d1_0 defaults conda 4.4.11 py36_0 defaults conda-build 3.0.27 py36h309a530_0 defaults conda-env 2.6.0 h36134e3_1 defaults conda-verify 2.0.0 py36h065de53_0 defaults console_shortcut 0.1.1 h6bb2dd7_3 defaults contextlib2 0.5.5 py36he5d52c0_0 defaults cryptography 2.0.3 py36h123decb_1 defaults curl 7.55.1 vc14hdaba4a4_3 [vc14] defaults cycler 0.10.0 py36h009560c_0 defaults cython 0.26.1 py36h18049ac_0 defaults cytoolz 0.8.2 py36h547e66e_0 defaults dask 0.15.3 py36h396fcb9_0 defaults dask-core 0.15.3 py36hd651449_0 defaults datashape 0.5.4 py36h5770b85_0 defaults decorator 4.1.2 py36he63a57b_0 defaults distlib 0.2.5 py36h51371be_0 defaults distributed 1.19.1 py36h8504682_0 defaults docutils 0.14 py36h6012d8f_0 defaults entrypoints 0.2.3 py36hfd66bb0_2 defaults et_xmlfile 1.0.1 py36h3d2d736_0 defaults fastcache 1.0.2 py36hffdae1b_0 defaults filelock 2.0.12 py36hd7ddd41_0 defaults flask 0.12.2 py36h98b5e8f_0 defaults flask-cors 3.0.3 py36h8a3855d_0 defaults freetype 2.8 vc14h17c9bdf_0 [vc14] defaults get_terminal_size 1.0.0 h38e98db_0 defaults gevent 1.2.2 py36h342a76c_0 defaults glob2 0.5 py36h11cc1bd_1 defaults greenlet 0.4.12 py36ha00ad21_0 defaults h5py 2.7.0 py36hfbe0a52_1 defaults hdf5 1.10.1 vc14hb361328_0 [vc14] defaults heapdict 1.0.0 py36h21fa5f4_0 defaults html5lib 0.999999999 py36ha09b1f3_0 defaults icc_rt 2017.0.4 h97af966_0 defaults icu 58.2 vc14hc45fdbb_0 [vc14] defaults idna 2.6 py36h148d497_1 defaults imageio 2.2.0 py36had6c2d2_0 defaults imagesize 0.7.1 py36he29f638_0 defaults intel-openmp 2018.0.0 hcd89f80_7 defaults ipykernel 4.6.1 py36hbb77b34_0 defaults ipython 6.1.0 py36h236ecc8_1 defaults ipython_genutils 0.2.0 py36h3c5d0ee_0 defaults ipywidgets 7.0.0 py36h2e74ada_0 defaults isort 4.2.15 py36h6198cc5_0 defaults itsdangerous 0.24 py36hb6c5a24_1 defaults jdcal 1.3 py36h64a5255_0 defaults jedi 0.10.2 py36hed927a0_0 defaults jinja2 2.9.6 py36h10aa3a0_1 defaults jpeg 9b vc14h4d7706e_1 [vc14] defaults jsonschema 2.6.0 py36h7636477_0 defaults jupyter 1.0.0 py36h422fd7e_2 defaults jupyter_client 5.1.0 py36h9902a9a_0 defaults jupyter_console 5.2.0 py36h6d89b47_1 defaults jupyter_core 4.3.0 py36h511e818_0 defaults jupyterlab 0.27.0 py36h34cc53b_2 defaults jupyterlab_launcher 0.4.0 py36h22c3ccf_0 defaults lazy-object-proxy 1.3.1 py36hd1c21d2_0 defaults libiconv 1.15 vc14h29686d3_5 [vc14] defaults libpng 1.6.32 vc14h5163883_3 [vc14] defaults libssh2 1.8.0 vc14hcf584a9_2 [vc14] defaults libtiff 4.0.8 vc14h04e2a1e_10 [vc14] defaults libxml2 2.9.4 vc14h8fd0f11_5 [vc14] defaults libxslt 1.1.29 vc14hf85b8d4_5 [vc14] defaults llvmlite 0.20.0 py36_0 defaults locket 0.2.0 py36hfed976d_1 defaults lockfile 0.12.2 py36h0468280_0 defaults lxml 4.1.0 py36h0dcd83c_0 defaults lzo 2.10 vc14h0a64fa6_1 [vc14] defaults markupsafe 1.0 py36h0e26971_1 defaults matplotlib 2.1.0 py36h11b4b9c_0 defaults mccabe 0.6.1 py36hb41005a_1 defaults menuinst 1.4.10 py36h42196fb_0 defaults mistune 0.7.4 py36h4874169_0 defaults mkl 2018.0.0 h36b65af_4 defaults mkl-service 1.1.2 py36h57e144c_4 defaults mpmath 0.19 py36he326802_2 defaults msgpack-python 0.4.8 py36h58b1e9d_0 defaults multipledispatch 0.4.9 py36he44c36e_0 defaults navigator-updater 0.1.0 py36h8a7b86b_0 defaults nbconvert 5.3.1 py36h8dc0fde_0 defaults nbformat 4.4.0 py36h3a5bc1b_0 defaults networkx 2.0 py36hff991e3_0 defaults nltk 3.2.4 py36hd0e0a39_0 defaults nose 1.3.7 py36h1c3779e_2 defaults notebook 5.0.0 py36hd9fbf6f_2 defaults numba 0.35.0 np113py36_10 defaults numexpr 2.6.2 py36h7ca04dc_1 defaults numpy 1.13.3 py36ha320f96_0 defaults numpydoc 0.7.0 py36ha25429e_0 defaults odo 0.5.1 py36h7560279_0 defaults olefile 0.44 py36h0a7bdd2_0 defaults openpyxl 2.4.8 py36hf3b77f6_1 defaults openssl 1.0.2n h74b6da3_0 defaults packaging 16.8 py36ha0986f6_1 defaults pandas 0.20.3 py36hce827b7_2 defaults pandoc 1.19.2.1 hb2460c7_1 defaults pandocfilters 1.4.2 py36h3ef6317_1 defaults partd 0.3.8 py36hc8e763b_0 defaults path.py 10.3.1 py36h3dd8b46_0 defaults pathlib2 2.3.0 py36h7bfb78b_0 defaults patsy 0.4.1 py36h42cefec_0 defaults pep8 1.7.0 py36h0f3d67a_0 defaults pickleshare 0.7.4 py36h9de030f_0 defaults pillow 4.2.1 py36hdb25ab2_0 defaults pip 9.0.1 py36hadba87b_3 defaults pkginfo 1.4.1 py36hb0f9cfa_1 defaults ply 3.10 py36h1211beb_0 defaults progress 1.3 py36hbeca8d3_0 defaults prompt_toolkit 1.0.15 py36h60b8f86_0 defaults psutil 5.4.0 py36h4e662fb_0 defaults py 1.4.34 py36ha4aca3a_1 defaults pycodestyle 2.3.1 py36h7cc55cd_0 defaults pycosat 0.6.3 py36h413d8a4_0 defaults pycparser 2.18 py36hd053e01_1 defaults pycrypto 2.6.1 py36he68e6e2_1 defaults pycurl 7.43.0 py36h086bf4c_3 defaults pyflakes 1.6.0 py36h0b975d6_0 defaults pygments 2.2.0 py36hb010967_0 defaults pylint 1.7.4 py36ha4e6ded_0 defaults pyodbc 4.0.17 py36h0006bc2_0 defaults pyopenssl 17.2.0 py36h15ca2fc_0 defaults pyparsing 2.2.0 py36h785a196_1 defaults pyqt 5.6.0 py36hb5ed885_5 defaults pysocks 1.6.7 py36h698d350_1 defaults pytables 3.4.2 py36h71138e3_2 defaults pytest 3.2.1 py36h753b05e_1 defaults python 3.6.3 h9e2ca53_1 defaults python-dateutil 2.6.1 py36h509ddcb_1 defaults pytz 2017.2 py36h05d413f_1 defaults pywavelets 0.5.2 py36hc649158_0 defaults pywin32 221 py36h9c10281_0 defaults pyyaml 3.12 py36h1d1928f_1 defaults pyzmq 16.0.2 py36h38c27d9_2 defaults qt 5.6.2 vc14h6f8c307_12 [vc14] defaults qtawesome 0.4.4 py36h5aa48f6_0 defaults qtconsole 4.3.1 py36h99a29a9_0 defaults qtpy 1.3.1 py36hb8717c5_0 defaults requests 2.18.4 py36h4371aae_1 defaults rope 0.10.5 py36hcaf5641_0 defaults ruamel_yaml 0.11.14 py36h9b16331_2 defaults scikit-image 0.13.0 py36h6dffa3f_1 defaults scikit-learn 0.19.1 py36h53aea1b_0 defaults scipy 0.19.1 py36h7565378_3 defaults seaborn 0.8.0 py36h62cb67c_0 defaults setuptools 36.5.0 py36h65f9e6e_0 defaults simplegeneric 0.8.1 py36heab741f_0 defaults singledispatch 3.4.0.3 py36h17d0c80_0 defaults sip 4.18.1 py36h9c25514_2 defaults six 1.11.0 py36h4db2310_1 defaults snowballstemmer 1.2.1 py36h763602f_0 defaults sortedcollections 0.5.3 py36hbefa0ab_0 defaults sortedcontainers 1.5.7 py36ha90ac20_0 defaults sphinx 1.6.3 py36h9bb690b_0 defaults sphinxcontrib 1.0 py36hbbac3d2_1 defaults sphinxcontrib-websupport 1.0.1 py36hb5e5916_1 defaults spyder 3.2.4 py36h8845eaa_0 defaults sqlalchemy 1.1.13 py36h5948d12_0 defaults sqlite 3.20.1 vc14h7ce8c62_1 [vc14] defaults statsmodels 0.8.0 py36h6189b4c_0 defaults sympy 1.1.1 py36h96708e0_0 defaults tblib 1.3.2 py36h30f5020_0 defaults testpath 0.3.1 py36h2698cfe_0 defaults tk 8.6.7 vc14hb68737d_1 [vc14] defaults toolz 0.8.2 py36he152a52_0 defaults tornado 4.5.2 py36h57f6048_0 defaults traitlets 4.3.2 py36h096827d_0 defaults typing 3.6.2 py36hb035bda_0 defaults unicodecsv 0.14.1 py36h6450c06_0 defaults urllib3 1.22 py36h276f60a_0 defaults vc 14 h2379b0c_2 defaults vs2015_runtime 14.0.25123 hd4c4e62_2 defaults wcwidth 0.1.7 py36h3d5aa90_0 defaults webencodings 0.5.1 py36h67c50ae_1 defaults werkzeug 0.12.2 py36h866a736_0 defaults wheel 0.29.0 py36h6ce6cde_1 defaults widgetsnbextension 3.0.2 py36h364476f_1 defaults win_inet_pton 1.0.1 py36he67d7fd_1 defaults win_unicode_console 0.5 py36hcdbd4b5_0 defaults wincertstore 0.2 py36h7fe50ca_0 defaults wrapt 1.10.11 py36he5f5981_0 defaults xlrd 1.1.0 py36h1cb58dc_1 defaults xlsxwriter 1.0.2 py36hf723b7d_0 defaults xlwings 0.11.4 py36hd3cf94d_0 defaults xlwt 1.3.0 py36h1a4751e_0 defaults yaml 0.1.7 vc14hb31d195_1 [vc14] defaults zict 0.1.3 py36h2d8e73e_0 defaults zlib 1.2.11 vc14h1cdd9ab_1 [vc14] defaults ```

[RemiDav]

Exactly same problem here with same cause: conda update --all results in: post-link script failed for package defaults::ipykernel-4.8.2-py36_0

any solution yet ?

[imanojkumar]

i too got the same error...

ERROR conda.core.link:_execute(481): An error occurred while installing package 'defaults::ipykernel-4.8.2-py36_0'.

[aschey]

I got the same error. Running conda update ipykernel, conda clean --all, then conda update --all worked for me. You may not need to run the clean command, but I didn't try it without.

[anthluGH]

@aschey Do you update ipykernel package alone? after that, use conda update --all to update all packages installed in default environment? or use conda clean --all to remove all packages cached first and then run conda update --all?

[aschey]

@anthlu Yes, I ran conda clean --all before conda update --all, but I'm not positive that it's necessary. It can't hurt though.

[AcmeNuclear]

@anthlu I am getting the same behavior for an install of Anaconda from a while back and I have been updating it as I go along (as is expected). I am on Windows 7 - but the error is the same. I get the same error on my Windows 10 machine with the same build on it (tested after I ran into this issue). I do get some strange text at the command line after I run the original conda update conda to update to 4.4.11.
My Windows 7 conda info shows the following:

(base) C:\Windows\system32>conda info

 active environment : base
active env location : C:\Users\nfsdp\AppData\Local\Continuum\Anaconda3
        shell level : 1
   user config file : C:\Users\nfsdp\.condarc
populated config files : C:\Users\nfsdp\.condarc
      conda version : 4.4.11
conda-build version : not installed
     python version : 3.6.4.final.0
   base environment : C:\Users\nfsdp\AppData\Local\Continuum\Anaconda3  (writable)
       channel URLs : https://conda.anaconda.org/anaconda-fusion/win-64
                      https://conda.anaconda.org/anaconda-fusion/noarch
                      https://repo.continuum.io/pkgs/main/win-64
                      https://repo.continuum.io/pkgs/main/noarch
                      https://repo.continuum.io/pkgs/free/win-64
                      https://repo.continuum.io/pkgs/free/noarch
                      https://repo.continuum.io/pkgs/r/win-64
                      https://repo.continuum.io/pkgs/r/noarch
                      https://repo.continuum.io/pkgs/pro/win-64
                      https://repo.continuum.io/pkgs/pro/noarch
                      https://repo.continuum.io/pkgs/msys2/win-64
                      https://repo.continuum.io/pkgs/msys2/noarch
      package cache : C:\Users\nfsdp\AppData\Local\Continuum\Anaconda3\pkgs
                      C:\Users\nfsdp\AppData\Local\conda\conda\pkgs
   envs directories : C:\Users\nfsdp\AppData\Local\Continuum\Anaconda3\envs
                      C:\Users\nfsdp\AppData\Local\conda\conda\envs
                      C:\Users\nfsdp\.conda\envs
           platform : win-64
         user-agent : conda/4.4.11 requests/2.18.4 CPython/3.6.4 Windows/7 Windows/6.1.7601
      administrator : True
         netrc file : None
       offline mode : False

I re-installed conda 4.4.10 and then re-updated to 4.4.11 and reproduced the error text at the bottom of the code block below:

(base) C:\Windows\system32>conda update conda 

Solving environment: ...working... done

## Package Plan ##

  environment location: C:\Users\nfsdp\AppData\Local\Continuum\Anaconda3

  added / updated specs:
    - conda

The following packages will be UPDATED:

    conda: 4.4.10-py36_0 --> 4.4.11-py36_0

Proceed ([y]/n)?
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done

(base) C:\Users\nfsdp>block should really be the equivalent of
'block' is not recognized as an internal or external command,
operable program or batch file.

I have no idea what this information on "block" is referring to. But conda 4.4.11 is installed per conda info.

[anthluGH]

@AcmeNuclear I also meet the problem you mentioned. When I update the conda package after installing the anaconda, it also prints the information like "block should really be the equivalent of". So I think the problem may be caused by the package itself.

[vamkv]

same issue observed on Win10.

[capodic]

same issue, conda update ipykernel and then conda update --all worked for me (Win10 Ent. 1607)

[AngusNicolson]

I had the same issue as well. Ran conda update ipykernel and then conda update --all and everything updated fine. Looks like the clean isn't needed. EDIT: I take it all back. When running spyder I get an internal error and it cannot connect to the kernel, I had to reinstall anaconda to fix this as running conda install --version 0 returned a similar error to the one above.

[ghost]

When trying to do conda update ipykernel from a fresh installation of anaconda 5.1.0 it wants to replace anaconda 5.1.0-py36_2 --> custom-py36h363777c_0 which is kind of fishy.

[mingwandroid]

which is kind of fishy.

This is the intended behaviour. As soon as any version changes to be different from the one in the installer the anaconda metapackage version changes to custom to reflect this.

[ghost]

Sure I understand that this change of version number is neccessary if the version indeed changes. What I don't like is, that an update needs a special (not knonw by number) version in the first place. Maybe I did not look carefully enough in the past, but I don't think this happend in the past, when I did a conda update --all, which I also did after the mentioned conda update ipykernel. But now the anaconda version remains custom

[mingwandroid]

The anaconda package is a metapackage that is released with each release of the AD installers. It specifies exactly all of the version numbers for all of the packages in the installer. Its own version number corresponds to the AD release number.

So once any package is updated such that no existing anaconda metapackage shares that exact set of version numbers we change it to custom to indicate that you no longer have a set of packages that match any release.

Is that clear?

[ghost]

Ok, thanks for making this clear.

[stawo]

Same issue on Windows Server 2012 R2. The solution proposed by @aschey seems to do the trick for now.

[AcmeNuclear]

@mingwandroid - Ray, given what you say up above, what is the best path forward. I still have the issue that when I do a standard update that it fails when it typically works. I will be the first to admit that I did not follow everything above regarding the Andaconda package installer versioning (vs. I suspect just updating through Conda?). Is there a more reliable method to keeping my packages up to date other than what I have been doing? I switched to using command line Conda when the Anaconda Navigator update function kept failing on me (I ran update but they would not take for some reason. Thanks!!

[mingwandroid]

conda update --all is the canonical way to update all of your packages (note due to version constrains it may not be possible to update everything to the latest but conda will do its best to update as many as possible).

Our team has been considering renaming the anaconda metapackage to something like anaconda-release or anaconda-pinned and then removing the exact versions pins from a new anaconda metapackage. The idea is to lessen the surprise that people encounter here when they believe that issuing conda update anaconda means that conda will do its best to update all their installed packages (or to be more precise, those packages installed when they ran the Anaconda Distribution installer) to the latest available ones when it does not.

[mingwandroid]

I did not follow everything above regarding the Andaconda package installer versioning

If there are some specific parts of what I wrote that I could explain better then please let me know.

[dl7631]

Have exactly the same issue (same error) on Windows 10. After reading the above, ran "conda update ipykernel" - it ran successfully. Then I ran "conda update --all" again. It seems to be working for me.

[GustaVelho]

@dl7631 this worked for me as well! I tried the conda clean --all, and conda update --all, failed. But firs updating the ipykernel did work, and after that conda update --all. Thanks!

[AcmeNuclear]

FYI - I followed the sequence as listed above conda update ipykernel, conda clean --all, and finally conda update --all. This appears to have worked. When I opened Spyder the first time it did give some error / warning issues with connecting to the kernel, but those flashed by and it resolved itself and ran fine after that. Thanks to all for the help - much appreciated.

[DimitriKourouniotis]

I am Win10 amd64 trying to install xgboost and I get this error when updating the packages: my version of python is 3.6.3 conda install -c anaconda py-xgboost

An error occurred while uninstalling package 'defaults::qt-5.6.2-vc14h6f8c307_12'. PermissionError(13, 'Access is denied')..

The solution for me was run anaconda as adminstrator.

[leeningzzu]

windows10 Pro, however, when I tried conda update ipykernel, apppearing conda: 4.5.4-py36_0 --> 4.3.30 , many packages went to the lower versions. Thanks!

[cosmic-latte]

same issue observed on Win10 1803

[DBJP]

I also encountered the 'block should really be the equivalent of' automatic entry error after updating. I am new to Python and learning to use lmfit, executed the command as instructed, then updated as Anaconda instructed. Reading comments here, I then checked to see if the update was successful as AcmeNuclear did.

Here is the text from my Anaconda Prompt (with username replaced for anonymity):

(base) C:\Users\UserName>conda install -c GSECARS lmfit
Solving environment: done

==> WARNING: A newer version of conda exists. <==
  current version: 4.4.10
  latest version: 4.5.4

Please update conda by running

    $ conda update -n base conda

## Package Plan ##

  environment location: C:\Users\UserName\Anaconda3

  added / updated specs:
    - lmfit

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    lmfit-0.9.10               |           py36_0         188 KB  GSECARS
    uncertainties-3.0.2        |           py36_0         118 KB  GSECARS
    asteval-0.9.12             |           py36_0          43 KB  GSECARS
    ------------------------------------------------------------
                                           Total:         349 KB

The following NEW packages will be INSTALLED:

    asteval:       0.9.12-py36_0 GSECARS
    lmfit:         0.9.10-py36_0 GSECARS
    uncertainties: 3.0.2-py36_0  GSECARS

Proceed ([y]/n)? y

Downloading and Extracting Packages
lmfit 0.9.10: ################################################################################################# | 100%
uncertainties 3.0.2: ########################################################################################## | 100%
asteval 0.9.12: ############################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(base) C:\Users\UserName>conda update -n base conda
Solving environment: done

## Package Plan ##

  environment location: C:\Users\UserName\Anaconda3

  added / updated specs:
    - conda

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    conda-4.5.4                |           py36_0         1.0 MB

The following packages will be UPDATED:

    conda: 4.4.10-py36_0 --> 4.5.4-py36_0

Proceed ([y]/n)? y

Downloading and Extracting Packages
conda 4.5.4: ################################################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(base) C:\Users\UserName>block should really be the equivalent of
'block' is not recognized as an internal or external command,
operable program or batch file.

(base) C:\Users\UserName>conda info

     active environment : base
    active env location : C:\Users\UserName\Anaconda3
            shell level : 1
       user config file : C:\Users\UserName\.condarc
 populated config files : C:\Users\UserName\.condarc
          conda version : 4.5.4
    conda-build version : 3.4.1
         python version : 3.6.4.final.0
       base environment : C:\Users\UserName\Anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/win-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/pro/win-64
                          https://repo.anaconda.com/pkgs/pro/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\UserName\Anaconda3\pkgs
                          C:\Users\UserName\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\UserName\Anaconda3\envs
                          C:\Users\UserName\AppData\Local\conda\conda\envs
                          C:\Users\UserName\.conda\envs
               platform : win-64
             user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.4 Windows/10 Windows/10.0.16299
          administrator : False
             netrc file : None
           offline mode : False

[psy-therapist]

Just don't forget to run Anaconda prompt as Administrator... That was my problem.

[AhmedSaeed98]

@psy-therapist thanks this is also my problem

[adrianbirch]

Same problem, couldn't conda update conda from non-admin user account on Windows 10. I kept getting "ERROR conda.core.link:_execute(502): An error occurred while uninstalling package" Tried conda update ipykernel from same user account - same problem. Closed Anaconda Prompt and re-opened as Administrator Ran "conda update ipykernel" which worked this time and also updated conda to 4.5.9 closed Anaconda Prompt and reopened NOT as Administrator "conda update conda" worked this time and it also updated openssl-1.0.2o and conda-4.5.9 Interesting that it updated conda again ????

[sqlshep]

I think i have tried everything is this thread with no luck, open to suggestions...

Distributor ID: Ubuntu Description: Ubuntu 18.04.1 LTS Release: 18.04 Codename: bionic

---

MSI:~$ conda update --all Solving environment: done

Package Plan

environment location: ... pyparsing-2.2.0 | 96 KB | ####################################### | 100% anaconda-client-1.7. | 136 KB | ####################################### | 100% incremental-17.5.0 | 25 KB | ####################################### | 100% Preparing transaction: done Verifying transaction: done Executing transaction: failed ERROR conda.core.link:_execute(502): An error occurred while uninstalling package 'defaults::anaconda-5.2.0-py36_3'. PermissionError(13, 'Permission denied') Attempting to roll back.

Rolling back transaction: done

PermissionError(13, 'Permission denied')

[joshuagithub]

Preparing transaction: done Verifying transaction: done Executing transaction: failed ERROR conda.core.link:_execute(502): An error occurred while uninstalling package 'defaults::anaconda-5.2.0-py36_3'. PermissionError(13, 'Access is denied') Attempting to roll back.

Rolling back transaction: done

PermissionError(13, 'Access is denied')

[joshuagithub]

i think in have no choice! uninstall anaconda.... (2 months of work!!) reinstall back and do the necessary library....

can i change Linux based OS to install anaconda for stable run.... To avoid wasting time!

any advice please

[mingwandroid]

2 months of work!!

It is not advisable to store your work in the anaconda folder.

On Wed, Aug 22, 2018, 4:54 AM JDeepAI notifications@github.com wrote:

i think in have no choice! uninstall anaconda.... (2 months of work!!) reinstall back and do the necessary library....

can i change Linux based OS to install anaconda for stable run.... To avoid wasting time!

any advice please

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/ContinuumIO/anaconda-issues/issues/8733#issuecomment-414901915, or mute the thread https://github.com/notifications/unsubscribe-auth/AA_pdNSPf3okfff2yTYaPqjFYqZrF4JSks5uTNYEgaJpZM4SavPb .

[briancrane]

Using Win10 fall update insiders edition 12/23/2018. All the above suggestions failed for me. Had to go back to Anaconda 4.4.1 [was getting http error 'cannot connect' etc. and could not update] Now seems to be working [BTW I installed/uninstalled various versions of Anaconda a dozen times or more]

[annltm]

Just don't forget to run Anaconda prompt as Administrator... That was my problem.

The same as me:) but really struggled for a long time before doing right

[mingwandroid]

In general people should avoid installing our software as administrator. We design our stuff to work without needing to do that. If you have installed for All Users then you must continue to use administrator, still, for most people there's little reason to do that. Use a normal user install and you will not need to worry (or risk breaking your computer).

[annltm]

Hi Ray, Thank you for explaining to me. I probably chose 'All Users' when I installed:(

Ray Donnelly notifications@github.com 于2019年6月4日周二 下午2:20写道：

In general people should avoid installing our software as administrator. We design our stuff to work without needing to do that. If you have installed for All Users then you must continue to use administrator, still, for most people there's little reason to do that. Use a normal user install and you will not need to worry (or risk breaking your computer).

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ContinuumIO/anaconda-issues/issues/8733?email_source=notifications&email_token=AMH7TYF6R5KI2JE6YNVD2RLPY2W47A5CNFSM4ETK6PN2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGODW5N2FQ#issuecomment-498785558, or mute the thread https://github.com/notifications/unsubscribe-auth/AMH7TYC33XVNZKAYHAO7ER3PY2W47ANCNFSM4ETK6PNQ .