8000 CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe when installing scrapy. · Issue #7713 · conda/conda · GitHub
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CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe when installing scrapy. #7713

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Closed
abhinavankur opened this issue Aug 29, 2018 · 52 comments
Labels
locked [bot] locked due to inactivity severity::2 critical; broken functionality with an unacceptably complex workaround source::community catch-all for issues filed by community members stale::closed [bot] closed after being marked as stale stale [bot] marked as stale due to inactivity type::bug describes erroneous operation, use severity::* to classify the type

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@abhinavankur
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abhinavankur commented Aug 29, 2018

I am trying to install package 'scrapy' in the base environment. When I issue the command it fails while installing the 'conda-forge::automat-0.7.0-py_1' dependancy

(base) C:\Users\Abhinav>conda install -c conda-forge scrapy
Solving environment: done

## Package Plan ##

  environment location: C:\Users\Abhinav\Anaconda3

  added / updated specs:
    - scrapy


The following NEW packages will be INSTALLED:

    appdirs:          1.4.3-py_1            conda-forge
    automat:          0.7.0-py_1            conda-forge
    constantly:       15.1.0-py_0           conda-forge
    cssselect:        1.0.3-py_0            conda-forge
    hyperlink:        17.3.1-py_0           conda-forge
    incremental:      17.5.0-py_0           conda-forge
    parsel:           1.5.0-py36_0
    pyasn1:           0.4.4-py_0            conda-forge
    pyasn1-modules:   0.2.1-py_0            conda-forge
    pydispatcher:     2.0.5-py_1            conda-forge
    pyhamcrest:       1.9.0-py_2            conda-forge
    pytest-runner:    4.2-py_1              conda-forge
    queuelib:         1.5.0-py36_0
    scrapy:           1.5.1-py36_0          conda-forge
    service_identity: 17.0.0-py_0           conda-forge
    twisted:          18.7.0-py36hfa6e2cd_1 conda-forge
    w3lib:            1.19.0-py36_0
    zope.interface:   4.5.0-py36hfa6e2cd_1  conda-forge

The following packages will be UPDATED:

    ca-certificates:  2018.03.07-0                      --> 2018.8.24-ha4d7672_0 conda-forge
    conda:            4.5.11-py36_0                     --> 4.5.11-py36_0        conda-forge
    openssl:          1.0.2p-hfa6e2cd_0                 --> 1.0.2p-hfa6e2cd_0    conda-forge

The following packages will be DOWNGRADED:

    certifi:          2018.8.24-py36_1                  --> 2018.8.24-py36_0     conda-forge

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.

Rolling back transaction: done

CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

However, neither conda clean --packages nor any of the commands mentioned in any of the other similar issues work.

This is the output of conda info

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

     active environment : base
    active env location : C:\Users\Abhinav\Anaconda3
            shell level : 1
       user config file : C:\Users\Abhinav\.condarc
 populated config files : C:\Users\Abhinav\.condarc
          conda version : 4.5.11
    conda-build version : 3.10.5
         python version : 3.6.5.final.0
       base environment : C:\Users\Abhinav\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\Abhinav\Anaconda3\pkgs
                          C:\Users\Abhinav\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\Abhinav\Anaconda3\envs
                          C:\Users\Abhinav\AppData\Local\conda\conda\envs
                          C:\Users\Abhinav\.conda\envs
               platform : win-64
             user-agent : conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
          administrator : False
             netrc file : None
           offline mode : False
@ashatzer
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I'm having a similar issue

@kalefranz kalefranz added type::bug describes erroneous operation, use severity::* to classify the type source::community catch-all for issues filed by community members severity::2 critical; broken functionality with an unacceptably complex workaround labels Aug 31, 2018
@kalefranz
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Contributor
kalefranz commented Aug 31, 2018

I thought we had fixed this. Apparently not.

Until we get a proper fix, I believe running

conda config --set pinned_packages defaults::conda

should fix your problem.


Edit: The correct command is

conda config --add pinned_packages defaults::conda

@kalefranz
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Contributor

Actually, before you execute that conda config command, can you give me the output of

conda install -c conda-forge scrapy -vv

It'll be long. That's fine. Just paste it all in and I'll edit down to the part I'm looking for.

@awmv
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awmv commented Sep 2, 2018
(base) C:\Users\Dylan\Documents\python-projects\esntls>Scripts\activate
(esntls) (base) C:\Users\Dylan\Documents\python-projects\esntls>conda install -c conda-forge scrapy -vv
DEBUG conda.gateways.logging:set_verbosity(148): verbosity set to 2
Solving environment: ...working... DEBUG conda.core.solve:solve_final_state(141): solving prefix C:\Users\Dylan\Anaconda3
  specs_to_remove: frozenset()
  specs_to_add: frozenset({MatchSpec(name=LowerStrMatch('scrapy'))})
  prune: False
DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Dylan\Anaconda3\pkgs' writable: True
DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Dylan\AppData\Local\conda\conda\pkgs' writable: True
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/pro/noarch at C:\Users\Dylan\Anaconda3\pkgs\cache\5fa16146.json
DEBUG urllib3.util.retry:from_int(200): Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
DEBUG urllib3.connectionpool:_new_conn(824): Starting new HTTPS connection (1): repo.anaconda.com
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/pro/noarch/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/pro/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> If-Modified-Since: Sat, 01 Sep 2018 14:54:33 GMT
> If-None-Match: "a03a8ce02144dee86add4a372c6c86b7"

<<HTTPS 304 Not Modified
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< Date: Sun, 02 Sep 2018 00:15:19 GMT
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< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 00:15:49 GMT
< Last-Modified: Sat, 01 Sep 2018 14:54:33 GMT
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/pro/noarch'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\5fa16146.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://conda.anaconda.org/conda-forge/win-64 at C:\Users\Dylan\Anaconda3\pkgs\cache\5afe41e9.json
DEBUG urllib3.connectionpool:_new_conn(824): Starting new HTTPS connection (1): conda.anaconda.org
DEBUG urllib3.connectionpool:_make_request(396): https://conda.anaconda.org:443 "GET /conda-forge/win-64/repodata.json HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /conda-forge/win-64/repodata.json HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: gzip, deflate, compress, identity
> Connection: keep-alive
> Content-Type: application/json
> If-Modified-Since: Sun, 02 Sep 2018 00:11:21 GMT

<<HTTPS 304 NOT MODIFIED
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< Date: Sun, 02 Sep 2018 00:15:19 GMT
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Server: cloudflare
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://conda.anaconda.org/conda-forge/win-64'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\5afe41e9.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/free/win-64 at C:\Users\Dylan\Anaconda3\pkgs\cache\d6a04735.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/free/win-64/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/free/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d94d827c4c6660ab51f352390a8678f0e1535847319
> If-Modified-Since: Sat, 01 Sep 2018 14:53:09 GMT
> If-None-Match: "9e1595f41ee0792e37a0d78886d49874"

<<HTTPS 304 Not Modified
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/free/win-64'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\d6a04735.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/r/win-64 at C:\Users\Dylan\Anaconda3\pkgs\cache\920c960f.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/r/win-64/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/r/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
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> If-Modified-Since: Fri, 31 Aug 2018 21:57:53 GMT
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<<HTTPS 304 Not Modified
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/r/win-64'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\920c960f.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/pro/win-64 at C:\Users\Dylan\Anaconda3\pkgs\cache\1120365f.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/pro/win-64/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/pro/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
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<<HTTPS 304 Not Modified
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/pro/win-64'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\1120365f.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/r/noarch at C:\Users\Dylan\Anaconda3\pkgs\cache\4ea078d6.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/r/noarch/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/r/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
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> If-Modified-Since: Sat, 01 Sep 2018 08:13:17 GMT
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<<HTTPS 304 Not Modified
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/r/noarch'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\4ea078d6.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://repo.anaconda.com/pkgs/main/win-64 at C:\Users\Dylan\Anaconda3\pkgs\cache\59ba4880.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/main/win-64/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/main/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
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<<HTTPS 304 Not Modified
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/main/win-64'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(282): found pickle file C:\Users\Dylan\Anaconda3\pkgs\cache\59ba4880.q
DEBUG conda.core.subdir_data:_load(211): Local cache timed out for https://conda.anaconda.org/conda-forge/noarch at C:\Users\Dylan\Anaconda3\pkgs\cache\09cdf8bf.json
DEBUG urllib3.connectionpool:_make_request(396): https://conda.anaconda.org:443 "GET /conda-forge/noarch/repodata.json HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /conda-forge/noarch/repodata.json HTTPS
> User-Agent: conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: gzip, deflate, compress, identity
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DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
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< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 00:15:50 GMT
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DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/main/noarch/repodata.json.bz2 HTTPS
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<<HTTPS 304 Not Modified
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< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
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DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/msys2/win-64/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/msys2/win-64/repodata.json.bz2 HTTPS
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<<HTTPS 304 Not Modified
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< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 00:15:50 GMT
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DEBUG conda.core.subdir_data:_load(219): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/msys2/win-64'. Updating mtime and loading from disk
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DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/msys2/noarch/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(418):
>>GET /pkgs/msys2/noarch/repodata.json.bz2 HTTPS
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> Accept: */*
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<<HTTPS 304 Not Modified
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< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 00:15:50 GMT
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DEBUG conda.core.subdir_data:_read_pickled(300): Pickle load validation failed for https://repo.anaconda.com/pkgs/msys2/noarch at C:\Users\Dylan\Anaconda3\pkgs\cache\c4a505b4.json.
DEBUG conda.core.subdir_data:_read_local_repdata(255): Loading raw json for https://repo.anaconda.com/pkgs/msys2/noarch at C:\Users\Dylan\Anaconda3\pkgs\cache\c4a505b4.json
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DEBUG conda.resolve:bad_installed(722): Checking if the current environment is consistent
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 1854
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DEBUG conda.core.solve:solve_final_state(223): inconsistent dists: None
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DEBUG conda.resolve:filter_group(277): python: pruned from 172 -> 164
DEBUG conda.resolve:filter_group(277): pip: pruned from 144 -> 122
DEBUG conda.resolve:filter_group(277): twisted: pruned from 89 -> 80
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DEBUG conda.resolve:filter_group(277): ipython: pruned from 217 -> 189
DEBUG conda.resolve:filter_group(277): decorator: pruned from 64 -> 61
DEBUG conda.resolve:filter_group(277): python: pruned from 164 -> 160
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DEBUG conda.resolve:filter_group(277): tornado: pruned from 139 -> 113
DEBUG conda.resolve:filter_group(277): python: pruned from 160 -> 134
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DEBUG conda.resolve:filter_group(277): jinja2: pruned from 62 -> 49
DEBUG conda.resolve:filter_group(277): nbconvert: pruned from 46 -> 40
DEBUG conda.resolve:filter_group(277): mistune: pruned from 59 -> 48
DEBUG conda.resolve:filter_group(277): nbformat: pruned from 41 -> 33
DEBUG conda.resolve:filter_group(277): jsonschema: pruned from 26 -> 22
DEBUG conda.resolve:filter_group(277): pygments: pruned from 40 -> 30
DEBUG conda.resolve:filter_group(277): tornado: pruned from 113 -> 93
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DEBUG conda.resolve:filter_group(277): xlwt: pruned from 33 -> 25
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DEBUG conda.resolve:filter_group(277): wrapt: pruned from 27 -> 24
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DEBUG conda.resolve:filter_group(277): sip: pruned from 41 -> 28
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DEBUG conda.resolve:filter_group(277): bitarray: pruned from 18 -> 1
DEBUG conda.resolve:filter_group(277): et_xmlfile: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): cytoolz: pruned from 9 -> 2
DEBUG conda.resolve:filter_group(277): docutils: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): pytables: pruned from 74 -> 1
DEBUG conda.resolve:filter_group(277): blosc: pruned from 13 -> 4
DEBUG conda.resolve:filter_group(277): numexpr: pruned from 36 -> 16
DEBUG conda.resolve:filter_group(277): partd: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): pyodbc: pruned from 25 -> 2
DEBUG conda.resolve:filter_group(277): dask-core: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): numpydoc: pruned from 8 -> 2
DEBUG conda.resolve:filter_group(277): libcurl: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): python: pruned from 33 -> 1
DEBUG conda.resolve:filter_group(277): setuptools: pruned from 36 -> 2
DEBUG conda.resolve:filter_group(277): wincertstore: pruned from 17 -> 5
DEBUG conda.resolve:filter_group(277): blaze: pruned from 11 -> 1
DEBUG conda.resolve:filter_group(277): flask: pruned from 24 -> 10
DEBUG conda.resolve:filter_group(277): itsdangerous: pruned from 11 -> 5
DEBUG conda.resolve:filter_group(277): werkzeug: pruned from 32 -> 12
DEBUG conda.resolve:filter_group(277): flask-cors: pruned from 18 -> 9
DEBUG conda.resolve:filter_group(277): sqlalchemy: pruned from 146 -> 34
DEBUG conda.resolve:filter_group(277): icu: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): libxslt: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): msys2-conda-epoch: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): simplegeneric: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): nbconvert: pruned from 11 -> 1
DEBUG conda.resolve:filter_group(277): bleach: pruned from 23 -> 11
DEBUG conda.resolve:filter_group(277): testpath: pruned from 20 -> 6
DEBUG conda.resolve:filter_group(277): libiconv: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): jupyterlab_launcher: pruned from 9 -> 2
DEBUG conda.resolve:filter_group(277): pluggy: pruned from 16 -> 1
DEBUG conda.resolve:filter_group(277): vc: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): vs2015_runtime: pruned from 8 -> 7
DEBUG conda.resolve:filter_group(277): heapdict: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): m2w64-gmp: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): freetype: pruned from 16 -> 1
DEBUG conda.resolve:filter_group(277): hdf5: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): tblib: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): itsdangerous: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): sphinx: pruned from 34 -> 2
DEBUG conda.resolve:filter_group(277): packaging: pruned from 11 -> 5
DEBUG conda.resolve:filter_group(277): sphinxcontrib-websupport: pruned from 16 -> 5
DEBUG conda.resolve:filter_group(277): typing: pruned from 35 -> 8
DEBUG conda.resolve:filter_group(277): backports.shutil_get_terminal_size: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): backports: pruned from 12 -> 6
DEBUG conda.resolve:filter_group(277): bokeh: pruned from 27 -> 2
DEBUG conda.resolve:filter_group(277): qtconsole: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): pyflakes: pruned from 13 -> 1
DEBUG conda.resolve:filter_group(277): sphinxcontrib-websupport: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): sphinxcontrib: pruned from 10 -> 3
DEBUG conda.resolve:filter_group(277): datashape: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): networkx: pruned from 10 -> 2
DEBUG conda.resolve:filter_group(277): singledispatch: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): curl: pruned from 31 -> 1
DEBUG conda.resolve:filter_group(277): jdcal: pruned from 15 -> 2
DEBUG conda.resolve:filter_group(277): sphinxcontrib: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): pylint: pruned from 25 -> 2
DEBUG conda.resolve:filter_group(277): astroid: pruned from 20 -> 11
DEBUG conda.resolve:filter_group(277): mccabe: pruned from 15 -> 6
DEBUG conda.resolve:filter_group(277): ipywidgets: pruned from 83 -> 2
DEBUG conda.resolve:filter_group(277): widgetsnbextension: pruned from 125 -> 13
DEBUG conda.resolve:filter_group(277): notebook: pruned from 37 -> 32
DEBUG conda.resolve:filter_group(277): sip: pruned from 4 -> 2
DEBUG conda.resolve:filter_group(277): yaml: pruned from 17 -> 1
DEBUG conda.resolve:filter_group(277): intel-openmp: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): packaging: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): numpy-base: pruned from 52 -> 1
DEBUG conda.resolve:filter_group(277): blas: pruned from 5 -> 2
DEBUG conda.resolve:filter_group(277): requests: pruned from 17 -> 1
DEBUG conda.resolve:filter_group(277): chardet: pruned from 13 -> 11
DEBUG conda.resolve:filter_group(277): idna: pruned from 13 -> 7
DEBUG conda.resolve:filter_group(277): urllib3: pruned from 35 -> 4
DEBUG conda.resolve:filter_group(277): pyopenssl: pruned from 27 -> 10
DEBUG conda.resolve:filter_group(277): pysocks: pruned from 18 -> 7
DEBUG conda.resolve:filter_group(277): win_inet_pton: pruned from 13 -> 4
DEBUG conda.resolve:filter_group(277): backports: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): pytest-arraydiff: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): numpy: pruned from 36 -> 14
DEBUG conda.resolve:filter_group(277): pytest: pruned from 51 -> 43
DEBUG conda.resolve:filter_group(277): jupyter_client: pruned from 17 -> 2
DEBUG conda.resolve:filter_group(277): xlrd: pruned from 26 -> 1
DEBUG conda.resolve:filter_group(277): ipykernel: pruned from 15 -> 2
DEBUG conda.resolve:filter_group(277): zict: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): pygments: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): pip: pruned from 12 -> 2
DEBUG conda.resolve:filter_group(277): libssh2: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): sortedcontainers: pruned from 15 -> 2
DEBUG conda.resolve:filter_group(277): mkl-service: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): pyyaml: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): jedi: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): mkl: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): distributed: pruned from 18 -> 2
DEBUG conda.resolve:filter_group(277): llvmlite: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): bkcharts: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): pandas: pruned from 46 -> 34
DEBUG conda.resolve:filter_group(277): boto: pruned from 20 -> 1
DEBUG conda.resolve:filter_group(277): sortedcollections: pruned from 27 -> 2
DEBUG conda.resolve:filter_group(277): mccabe: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): anaconda-client: pruned from 48 -> 1
DEBUG conda.resolve:filter_group(277): clyent: pruned from 17 -> 6
DEBUG conda.resolve:filter_group(277): nbformat: pruned from 8 -> 4
DEBUG conda.resolve:filter_group(277): python-dateutil: pruned from 12 -> 10
DEBUG conda.resolve:filter_group(277): send2trash: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): comtypes: pruned from 19 -> 2
DEBUG conda.resolve:filter_group(277): asn1crypto: pruned from 8 -> 2
DEBUG conda.resolve:filter_group(277): libsodium: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): terminado: pruned from 13 -> 2
DEBUG conda.resolve:filter_group(277): pywinpty: pruned from 59 -> 22
DEBUG conda.resolve:filter_group(277): flask: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): jinja2: pruned from 13 -> 4
DEBUG conda.resolve:filter_group(277): werkzeug: pruned from 12 -> 2
DEBUG conda.resolve:filter_group(277): notebook: pruned from 32 -> 2
DEBUG conda.resolve:filter_group(277): jupyter_core: pruned from 8 -> 3
DEBUG conda.resolve:filter_group(277): pyzmq: pruned from 16 -> 11
DEBUG conda.resolve:filter_group(277): widgetsnbextension: pruned from 13 -> 2
DEBUG conda.resolve:filter_group(277): xlwings: pruned from 80 -> 2
DEBUG conda.resolve:filter_group(277): pywin32: pruned from 38 -> 9
DEBUG conda.resolve:filter_group(277): pycurl: pruned from 14 -> 1
DEBUG conda.resolve:filter_group(277): attrs: pruned from 24 -> 1
DEBUG conda.resolve:filter_group(277): pillow: pruned from 29 -> 1
DEBUG conda.resolve:filter_group(277): libtiff: pruned from 20 -> 6
DEBUG conda.resolve:filter_group(277): mkl_random: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): cffi: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): pep8: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): idna: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): blosc: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): jpeg: pruned from 8 -> 1
DEBUG conda.resolve:filter_group(277): more-itertools: pruned from 29 -> 1
DEBUG conda.resolve:filter_group(277): ipython_genutils: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): jupyter_console: pruned from 25 -> 1
DEBUG conda.resolve:filter_group(277): alabaster: pruned from 8 -> 1
DEBUG conda.resolve:filter_group(277): markupsafe: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): bleach: pruned from 11 -> 1
DEBUG conda.resolve:filter_group(277): nbformat: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): jupyter_core: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): vs2015_runtime: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): pickleshare: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): toolz: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): fastcache: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): tornado: pruned from 16 -> 2
DEBUG conda.resolve:filter_group(277): click: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): wcwidth: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): wincertstore: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): libtiff: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): testpath: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): get_terminal_size: pruned from 3 -> 1
DEBUG conda.resolve:filter_group(277): libpng: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): pytz: pruned from 16 -> 1
DEBUG conda.resolve:filter_group(277): scipy: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): pytest-openfiles: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): pywin32: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): zlib: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): wrapt: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): menuinst: pruned from 48 -> 1
DEBUG conda.resolve:filter_group(277): xlwt: pruned from 25 -> 1
DEBUG conda.resolve:filter_group(277): libxml2: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): nose: pruned from 13 -> 1
DEBUG conda.resolve:filter_group(277): psutil: pruned from 29 -> 1
DEBUG conda.resolve:filter_group(277): flask-cors: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): zeromq: pruned from 36 -> 1
DEBUG conda.resolve:filter_group(277): imageio: pruned from 7 -> 2
DEBUG conda.resolve:filter_group(277): win_inet_pton: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): jinja2: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): numexpr: pruned from 16 -> 1
DEBUG conda.resolve:filter_group(277): sqlalchemy: pruned from 34 -> 1
DEBUG con
6D40
da.resolve:filter_group(277): pytest-doctestplus: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): openpyxl: pruned from 59 -> 2
DEBUG conda.resolve:filter_group(277): jupyter: pruned from 15 -> 1
DEBUG conda.resolve:filter_group(277): python-dateutil: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): glob2: pruned from 12 -> 1
DEBUG conda.resolve:filter_group(277): decorator: pruned from 12 -> 1
DEBUG conda.resolve:filter_group(277): numpy: pruned from 14 -> 1
DEBUG conda.resolve:filter_group(277): pathlib2: pruned from 20 -> 2
DEBUG conda.resolve:filter_group(277): pywavelets: pruned from 13 -> 1
DEBUG conda.resolve:filter_group(277): pycparser: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): multipledispatch: pruned from 7 -> 2
DEBUG conda.resolve:filter_group(277): ca-certificates: pruned from 16 -> 1
DEBUG conda.resolve:filter_group(277): webencodings: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): cycler: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): locket: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): py: pruned from 18 -> 1
DEBUG conda.resolve:filter_group(277): win_unicode_console: pruned from 10 -> 1
DEBUG conda.resolve:filter_group(277): cloudpickle: pruned from 19 -> 1
DEBUG conda.resolve:filter_group(277): pyparsing: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): astropy: pruned from 123 -> 1
DEBUG conda.resolve:filter_group(277): console_shortcut: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): greenlet: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): seaborn: pruned from 38 -> 1
DEBUG conda.resolve:filter_group(277): matplotlib: pruned from 46 -> 1
DEBUG conda.resolve:filter_group(277): pandas: pruned from 34 -> 22
DEBUG conda.resolve:filter_group(277): ruamel_yaml: pruned from 58 -> 1
DEBUG conda.resolve:filter_group(277): ipython: pruned from 36 -> 2
DEBUG conda.resolve:filter_group(277): typing: pruned from 8 -> 2
DEBUG conda.resolve:filter_group(277): mistune: pruned from 12 -> 1
DEBUG conda.resolve:filter_group(277): cython: pruned from 65 -> 1
DEBUG conda.resolve:filter_group(277): pywinpty: pruned from 22 -> 1
DEBUG conda.resolve:filter_group(277): patsy: pruned from 6 -> 2
DEBUG conda.resolve:filter_group(277): babel: pruned from 13 -> 2
DEBUG conda.resolve:filter_group(277): snowballstemmer: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): entrypoints: pruned from 9 -> 1
DEBUG conda.resolve:filter_group(277): contextlib2: pruned from 18 -> 1
DEBUG conda.resolve:filter_group(277): bottleneck: pruned from 38 -> 1
DEBUG conda.resolve:filter_group(277): rope: pruned from 8 -> 1
DEBUG conda.resolve:filter_group(277): colorama: pruned from 5 -> 1
DEBUG conda.resolve:filter_group(277): werkzeug: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): jsonschema: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): m2w64-gcc-libs: pruned from 2 -> 1
DEBUG conda.resolve:filter_group(277): clyent: pruned from 6 -> 1
DEBUG conda.resolve:filter_group(277): chardet: pruned from 11 -> 1
DEBUG conda.resolve:filter_group(277): pyopenssl: pruned from 10 -> 2
DEBUG conda.resolve:filter_group(277): pyzmq: pruned from 11 -> 1
DEBUG conda.resolve:filter_group(277): urllib3: pruned from 4 -> 1
DEBUG conda.resolve:filter_group(277): anaconda-project: pruned from 20 -> 1
DEBUG conda.resolve:filter_group(277): pysocks: pruned from 7 -> 1
DEBUG conda.resolve:filter_group(277): msgpack-python: pruned from 12 -> 1
DEBUG conda.resolve:filter_group(277): pandas: pruned from 22 -> 1
DEBUG conda.resolve:filter_group(277): scikit-learn: pruned from 85 -> 1
DEBUG conda.resolve:filter_group(277): pycodestyle: pruned from 8 -> 2
DEBUG conda.resolve:filter_group(277): pytest: pruned from 43 -> 2
DEBUG conda.resolve:filter_group(277): astroid: pruned from 11 -> 2
DEBUG conda.resolve:filter_group(277): scrapy: pruned from 61 -> 13
DEBUG conda.resolve:filter_group(277): cssselect: pruned from 27 -> 6
DEBUG conda.resolve:filter_group(277): parsel: pruned from 20 -> 4
DEBUG conda.resolve:filter_group(277): w3lib: pruned from 34 -> 4
DEBUG conda.resolve:filter_group(277): pydispatcher: pruned from 10 -> 3
DEBUG conda.resolve:filter_group(277): queuelib: pruned from 12 -> 2
DEBUG conda.resolve:filter_group(277): service_identity: pruned from 15 -> 4
DEBUG conda.resolve:filter_group(277): pyasn1: pruned from 57 -> 19
DEBUG conda.resolve:filter_group(277): pyasn1-modules: pruned from 24 -> 9
DEBUG conda.resolve:filter_group(277): twisted: pruned from 80 -> 6
DEBUG conda.resolve:filter_group(277): constantly: pruned from 9 -> 3
DEBUG conda.resolve:filter_group(277): incremental: pruned from 12 -> 4
DEBUG conda.resolve:filter_group(277): zope.interface: pruned from 54 -> 8
DEBUG conda.resolve:filter_group(277): _ipyw_jlab_nb_ext_conf: pruned from 7 -> 2
DEBUG conda.resolve:filter_group(277): navigator-updater: pruned from 9 -> 4
DEBUG conda.resolve:filter_group(277): conda-verify: pruned from 12 -> 5
DEBUG conda.resolve:filter_group(277): conda-env: pruned from 13 -> 5
DEBUG conda.resolve:filter_group(277): conda-build: pruned from 271 -> 113
DEBUG conda.resolve:filter_group(277): conda: pruned from 188 -> 70
DEBUG conda.resolve:filter_group(277): anaconda-navigator: pruned from 48 -> 20
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 6595
DEBUG conda.resolve:generate_spec_constraints(518): generate_spec_constraints returning with clause count: 6595
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6840
DEBUG conda.core.solve:solve_final_state(320): conflicting specs:
DEBUG conda.core.solve:solve_final_state(330): final specs to add:
  - _ipyw_jlab_nb_ext_conf
  - alabaster
  - anaconda-client
  - anaconda-navigator
  - anaconda-project
  - anaconda==5.2.0=py36_3
  - asn1crypto
  - astroid
  - astropy
  - attrs
  - babel
  - backcall
  - backports
  - backports.shutil_get_terminal_size
  - beautifulsoup4
  - bitarray
  - bkcharts
  - blas
  - blaze
  - bleach
  - blosc
  - bokeh
  - boto
  - bottleneck
  - bzip2
  - ca-certificates
  - certifi
  - cffi
  - chardet
  - click
  - cloudpickle
  - clyent
  - colorama
  - comtypes
  - conda
  - conda-build
  - conda-env
  - conda-verify
  - console_shortcut
  - contextlib2
  - cryptography
  - curl
  - cycler
  - cython
  - cytoolz
  - dask
  - dask-core
  - datashape
  - decorator
  - distributed
  - docutils
  - entrypoints
  - et_xmlfile
  - fastcache
  - filelock
  - flask
  - flask-cors
  - freetype
  - get_terminal_size
  - gevent
  - glob2
  - greenlet
  - h5py
  - hdf5
  - heapdict
  - html5lib
  - icc_rt
  - icu
  - idna
  - imageio
  - imagesize
  - intel-openmp
  - ipykernel
  - ipython
  - ipython_genutils
  - ipywidgets
  - isort
  - itsdangerous
  - jdcal
  - jedi
  - jinja2
  - jpeg
  - jsonschema
  - jupyter
  - jupyter_client
  - jupyter_console
  - jupyter_core
  - jupyterlab
  - jupyterlab_launcher
  - kiwisolver
  - lazy-object-proxy
  - libcurl
  - libiconv
  - libpng
  - libsodium
  - libssh2
  - libtiff
  - libxml2
  - libxslt
  - llvmlite
  - locket
  - lxml
  - lzo
  - m2w64-gcc-libgfortran
  - m2w64-gcc-libs
  - m2w64-gcc-libs-core
  - m2w64-gmp
  - m2w64-libwinpthread-git
  - markupsafe
  - matplotlib
  - mccabe
  - menuinst
  - mistune
  - mkl
  - mkl-service
  - mkl_fft
  - mkl_random
  - more-itertools
  - mpmath
  - msgpack-python
  - msys2-conda-epoch
  - multipledispatch
  - navigator-updater
  - nbconvert
  - nbformat
  - networkx
  - nltk
  - nose
  - notebook
  - numba
  - numexpr
  - numpy
  - numpy-base
  - numpydoc
  - odo
  - olefile
  - openpyxl
  - openssl
  - packaging
  - pandas
  - pandoc
  - pandocfilters
  - parso
  - partd
  - path.py
  - pathlib2
  - patsy
  - pep8
  - pickleshare
  - pillow
  - pip
  - pkginfo
  - pluggy
  - ply
  - prompt_toolkit
  - psutil
  - py
  - pycodestyle
  - pycosat
  - pycparser
  - pycrypto
  - pycurl
  - pyflakes
  - pygments
  - pylint
  - pyodbc
  - pyopenssl
  - pyparsing
  - pyqt
  - pysocks
  - pytables
  - pytest
  - pytest-arraydiff
  - pytest-astropy
  - pytest-doctestplus
  - pytest-openfiles
  - pytest-remotedata
  - python-dateutil
  - python=3
  - pytz
  - pywavelets
  - pywin32
  - pywinpty
  - pyyaml
  - pyzmq
  - qt
  - qtawesome
  - qtconsole
  - qtpy
  - requests
  - rope
  - ruamel_yaml
  - scikit-image
  - scikit-learn
  - scipy
  - scrapy
  - seaborn
  - send2trash
  - setuptools
  - simplegeneric
  - singledispatch
  - sip
  - six
  - snappy
  - snowballstemmer
  - sortedcollections
  - sortedcontainers
  - sphinx
  - sphinxcontrib
  - sphinxcontrib-websupport
  - spyder
  - sqlalchemy
  - sqlite
  - statsmodels
  - sympy
  - tblib
  - terminado
  - testpath
  - tk
  - toolz
  - tornado
  - traitlets
  - typing
  - unicodecsv
  - urllib3
  - vc
  - vs2015_runtime
  - wcwidth
  - webencodings
  - werkzeug
  - wheel
  - widgetsnbextension
  - win_inet_pton
  - win_unicode_console
  - wincertstore
  - winpty
  - wrapt
  - xlrd
  - xlsxwriter
  - xlwings
  - xlwt
  - yaml
  - zeromq
  - zict
  - zlib
DEBUG conda.resolve:solve(838): Solving for:
  - _ipyw_jlab_nb_ext_conf
  - alabaster
  - anaconda-client
  - anaconda-navigator
  - anaconda-project
  - anaconda==5.2.0=py36_3
  - asn1crypto
  - astroid
  - astropy
  - attrs
  - babel
  - backcall
  - backports
  - backports.shutil_get_terminal_size
  - beautifulsoup4
  - bitarray
  - bkcharts
  - blas
  - blaze
  - bleach
  - blosc
  - bokeh
  - boto
  - bottleneck
  - bzip2
  - ca-certificates
  - certifi
  - cffi
  - chardet
  - click
  - cloudpickle
  - clyent
  - colorama
  - comtypes
  - conda
  - conda-build
  - conda-env
  - conda-verify
  - console_shortcut
  - contextlib2
  - cryptography
  - curl
  - cycler
  - cython
  - cytoolz
  - dask
  - dask-core
  - datashape
  - decorator
  - distributed
  - docutils
  - entrypoints
  - et_xmlfile
  - fastcache
  - filelock
  - flask
  - flask-cors
  - freetype
  - get_terminal_size
  - gevent
  - glob2
  - greenlet
  - h5py
  - hdf5
  - heapdict
  - html5lib
  - icc_rt
  - icu
  - idna
  - imageio
  - imagesize
  - intel-openmp
  - ipykernel
  - ipython
  - ipython_genutils
  - ipywidgets
  - isort
  - itsdangerous
  - jdcal
  - jedi
  - jinja2
  - jpeg
  - jsonschema
  - jupyter
  - jupyter_client
  - jupyter_console
  - jupyter_core
  - jupyterlab
  - jupyterlab_launcher
  - kiwisolver
  - lazy-object-proxy
  - libcurl
  - libiconv
  - libpng
  - libsodium
  - libssh2
  - libtiff
  - libxml2
  - libxslt
  - llvmlite
  - locket
  - lxml
  - lzo
  - m2w64-gcc-libgfortran
  - m2w64-gcc-libs
  - m2w64-gcc-libs-core
  - m2w64-gmp
  - m2w64-libwinpthread-git
  - markupsafe
  - matplotlib
  - mccabe
  - menuinst
  - mistune
  - mkl
  - mkl-service
  - mkl_fft
  - mkl_random
  - more-itertools
  - mpmath
  - msgpack-python
  - msys2-conda-epoch
  - multipledispatch
  - navigator-updater
  - nbconvert
  - nbformat
  - networkx
  - nltk
  - nose
  - notebook
  - numba
  - numexpr
  - numpy
  - numpy-base
  - numpydoc
  - odo
  - olefile
  - openpyxl
  - openssl
  - packaging
  - pandas
  - pandoc
  - pandocfilters
  - parso
  - partd
  - path.py
  - pathlib2
  - patsy
  - pep8
  - pickleshare
  - pillow
  - pip
  - pkginfo
  - pluggy
  - ply
  - prompt_toolkit
  - psutil
  - py
  - pycodestyle
  - pycosat
  - pycparser
  - pycrypto
  - pycurl
  - pyflakes
  - pygments
  - pylint
  - pyodbc
  - pyopenssl
  - pyparsing
  - pyqt
  - pysocks
  - pytables
  - pytest
  - pytest-arraydiff
  - pytest-astropy
  - pytest-doctestplus
  - pytest-openfiles
  - pytest-remotedata
  - python-dateutil
  - python=3
  - pytz
  - pywavelets
  - pywin32
  - pywinpty
  - pyyaml
  - pyzmq
  - qt
  - qtawesome
  - qtconsole
  - qtpy
  - requests
  - rope
  - ruamel_yaml
  - scikit-image
  - scikit-learn
  - scipy
  - scrapy
  - seaborn
  - send2trash
  - setuptools
  - simplegeneric
  - singledispatch
  - sip
  - six
  - snappy
  - snowballstemmer
  - sortedcollections
  - sortedcontainers
  - sphinx
  - sphinxcontrib
  - sphinxcontrib-websupport
  - spyder
  - sqlalchemy
  - sqlite
  - statsmodels
  - sympy
  - tblib
  - terminado
  - testpath
  - tk
  - toolz
  - tornado
  - traitlets
  - typing
  - unicodecsv
  - urllib3
  - vc
  - vs2015_runtime
  - wcwidth
  - webencodings
  - werkzeug
  - wheel
  - widgetsnbextension
  - win_inet_pton
  - win_unicode_console
  - wincertstore
  - winpty
  - wrapt
  - xlrd
  - xlsxwriter
  - xlwings
  - xlwt
  - yaml
  - zeromq
  - zict
  - zlib
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 6595
DEBUG conda.resolve:generate_spec_constraints(518): generate_spec_constraints returning with clause count: 6595
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6840
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6891
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6968
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.resolve:solve(884): Initial package channel/version metric: 0/0
DEBUG conda.resolve:generate_feature_count(524): generate_feature_count returning with clause count: 6968
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6970
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6972
DEBUG conda.common.logic:minimize(546): Final sum objective: 1
DEBUG conda.common.logic:minimize(558): New peak objective: 1
DEBUG conda.resolve:solve(889): Track feature count: 1
DEBUG conda.common.logic:minimize(474): Empty objective, trivial solution
DEBUG conda.resolve:solve(900): Package misfeature count: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 6976
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(904): Initial package build metric: 0
DEBUG conda.common.logic:minimize(474): Empty objective, trivial solution
DEBUG conda.resolve:solve(910): Optional package install metric: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7216
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(915): Dependency update count: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7368
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7545
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7557
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(923): Additional package channel/version/build metrics: 0/0/0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7561
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(928): Timestamp metric: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 7978
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 8016
DEBUG conda.common.logic:minimize(546): Final sum objective: 17
DEBUG conda.common.logic:minimize(558): New peak objective: 1
DEBUG conda.resolve:solve(933): Weak dependency count: 17
DEBUG conda.resolve:solve(938): Looking for alternate solutions
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 8017
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'appdirs' -> 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.core.solve:solve_final_state(407): solved prefix C:\Users\Dylan\Anaconda3
  solved_linked_dists:
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    defaults::ca-certificates-2018.03.07-0
    defaults::conda-env-2.6.0-h36134e3_1
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    defaults::sphinxcontrib-websupport-1.0.1-py36hb5e5916_1
    defaults::sympy-1.1.1-py36h96708e0_0
    defaults::traitlets-4.3.2-py36h096827d_0
    defaults::w3lib-1.19.0-py36_0
    defaults::xlwings-0.11.8-py36_0
    defaults::zict-0.1.3-py36h2d8e73e_0
    defaults::astroid-1.6.3-py36_0
    defaults::bleach-2.1.3-py36_0
    defaults::clyent-1.2.2-py36hb10d595_1
    defaults::cryptography-2.2.2-py36hfa6e2cd_0
    defaults::curl-7.60.0-h7602738_0
    defaults::cython-0.28.2-py36hfa6e2cd_0
    defaults::distributed-1.21.8-py36_0
    defaults::get_terminal_size-1.0.0-h38e98db_0
    defaults::gevent-1.3.0-py36hfa6e2cd_0
    defaults::isort-4.3.4-py36_0
    defaults::jinja2-2.10-py36h292fed1_0
    defaults::jsonschema-2.6.0-py36h7636477_0
    defaults::jupyter_core-4.4.0-py36h56e9d50_0
    defaults::lxml-4.2.1-py36heafd4d3_0
    defaults::nose-1.3.7-py36h1c3779e_2
    defaults::pillow-5.1.0-py36h0738816_0
    defaults::pyflakes-1.6.0-py36h0b975d6_0
    defaults::pygments-2.2.0-py36hb010967_0
    defaults::pyqt-5.9.2-py36h1aa27d4_0
    defaults::pytest-3.5.1-py36_0
    defaults::pywinpty-0.5.1-py36_0
    defaults::wheel-0.31.1-py36_0
    defaults::flask-1.0.2-py36_1
    defaults::jupyter_client-5.2.3-py36_0
    defaults::navigator-updater-0.2.1-py36_0
    defaults::nbformat-4.4.0-py36h3a5bc1b_0
    defaults::pip-10.0.1-py36_0
    defaults::prompt_toolkit-1.0.15-py36h60b8f86_0
    defaults::pycurl-7.43.0.1-py36h74b6da3_0
    defaults::pylint-1.8.4-py36_0
    defaults::pyopenssl-18.0.0-py36_0
    defaults::pytest-openfiles-0.3.0-py36_0
    defaults::pytest-remotedata-0.2.1-py36_0
    defaults::terminado-0.8.1-py36_1
    defaults::flask-cors-3.0.4-py36_0
    defaults::ipython-6.4.0-py36_0
    defaults::nbconvert-5.3.1-py36h8dc0fde_0
    defaults::urllib3-1.22-py36h276f60a_0
    defaults::ipykernel-4.8.2-py36_0
    defaults::requests-2.18.4-py36h4371aae_1
    defaults::anaconda-client-1.6.14-py36_0
    defaults::jupyter_console-5.2.0-py36h6d89b47_1
    defaults::notebook-5.5.0-py36_0
    defaults::qtconsole-4.3.1-py36h99a29a9_0
    defaults::sphinx-1.7.4-py36_0
    defaults::anaconda-navigator-1.8.7-py36_0
    defaults::anaconda-project-0.8.2-py36hfad2e28_0
    defaults::jupyterlab_launcher-0.10.5-py36_0
    defaults::numpydoc-0.8.0-py36_0
    defaults::widgetsnbextension-3.2.1-py36_0
    defaults::ipywidgets-7.2.1-py36_0
    defaults::jupyterlab-0.32.1-py36_0
    defaults::spyder-3.2.8-py36_0
    defaults::_ipyw_jlab_nb_ext_conf-0.1.0-py36he6757f0_0
    defaults::jupyter-1.0.0-py36_4
    conda-forge::appdirs-1.4.3-py_1
    conda-forge::automat-0.7.0-py_1
    defaults::bokeh-0.12.16-py36_0
    defaults::bottleneck-1.2.1-py36hd119dfa_0
    conda-forge::conda-4.5.11-py36_0
    defaults::conda-build-3.10.5-py36_0
    conda-forge::constantly-15.1.0-py_0
    conda-forge::cssselect-1.0.3-py_0
    conda-forge::hyperlink-17.3.1-py_0
    conda-forge::incremental-17.5.0-py_0
    conda-forge::pyasn1-0.4.4-py_0
    conda-forge::pydispatcher-2.0.5-py_1
    conda-forge::pyhamcrest-1.9.0-py_2
    conda-forge::pytest-runner-4.2-py_1
    defaults::parsel-1.5.0-py36_0
    conda-forge::pyasn1-modules-0.2.1-py_0
    conda-forge::service_identity-17.0.0-py_0
    conda-forge::twisted-18.7.0-py36hfa6e2cd_1
    conda-forge::scrapy-1.5.1-py36_0
    defaults::datashape-0.5.4-py36h5770b85_0
    defaults::h5py-2.7.1-py36h3bdd7fb_2
    defaults::imageio-2.3.0-py36_0
    defaults::matplotlib-2.2.2-py36h153e9ff_1
    defaults::mkl_fft-1.0.1-py36h452e1ab_0
    defaults::mkl_random-1.0.1-py36h9258bd6_0
    defaults::numpy-1.14.3-py36h9fa60d3_1
    defaults::numba-0.38.0-py36h830ac7b_0
    defaults::numexpr-2.6.5-py36hcd2f87e_0
    defaults::pandas-0.23.0-py36h830ac7b_0
    defaults::pytest-arraydiff-0.2-py36_0
    defaults::pytest-doctestplus-0.1.3-py36_0
    defaults::pywavelets-0.5.2-py36hc649158_0
    defaults::scipy-1.1.0-py36h672f292_0
    defaults::bkcharts-0.2-py36h7e685f7_0
    defaults::dask-0.17.5-py36_0
    defaults::patsy-0.5.0-py36_0
    defaults::pytables-3.4.3-py36he6f6034_1
    defaults::pytest-astropy-0.3.0-py36_0
    defaults::scikit-learn-0.19.1-py36h53aea1b_0
    defaults::astropy-3.0.2-py36h452e1ab_1
    defaults::odo-0.5.1-py36h7560279_0
    defaults::scikit-image-0.13.1-py36hfa6e2cd_1
    defaults::statsmodels-0.9.0-py36h452e1ab_0
    defaults::blaze-0.11.3-py36h8a29ca5_0
    defaults::seaborn-0.8.1-py36h9b69545_0
    defaults::anaconda-5.2.0-py36_3

DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
done
DEBUG conda.core.link:__init__(157): instantiating UnlinkLinkTransaction with
  target_prefix: C:\Users\Dylan\Anaconda3
  unlink_precs:
    defaults::conda-4.5.4-py36_0
    defaults::certifi-2018.4.16-py36_0
  link_precs:
    conda-forge::certifi-2018.4.16-py36_0
    defaults::queuelib-1.5.0-py36_0
    conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1
    defaults::w3lib-1.19.0-py36_0
    conda-forge::appdirs-1.4.3-py_1
    conda-forge::automat-0.7.0-py_1
    conda-forge::conda-4.5.11-py36_0
    conda-forge::constantly-15.1.0-py_0
    conda-forge::cssselect-1.0.3-py_0
    conda-forge::hyperlink-17.3.1-py_0
    conda-forge::incremental-17.5.0-py_0
    conda-forge::pyasn1-0.4.4-py_0
    conda-forge::pydispatcher-2.0.5-py_1
    conda-forge::pyhamcrest-1.9.0-py_2
    conda-forge::pytest-runner-4.2-py_1
    defaults::parsel-1.5.0-py36_0
    conda-forge::pyasn1-modules-0.2.1-py_0
    conda-forge::service_identity-17.0.0-py_0
    conda-forge::twisted-18.7.0-py36hfa6e2cd_1
    conda-forge::scrapy-1.5.1-py36_0

DEBUG conda.core.package_cache_data:__init__(549): instantiating ProgressiveFetchExtract with
  conda-forge::certifi-2018.4.16-py36_0
  defaults::queuelib-1.5.0-py36_0
  conda-forge::hyperlink-17.3.1-py_0
  conda-forge::scrapy-1.5.1-py36_0
  conda-forge::pydispatcher-2.0.5-py_1
  conda-forge::appdirs-1.4.3-py_1
  conda-forge::incremental-17.5.0-py_0
  conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1
  defaults::w3lib-1.19.0-py36_0
  conda-forge::conda-4.5.11-py36_0
  conda-forge::automat-0.7.0-py_1
  defaults::parsel-1.5.0-py36_0
  conda-forge::pyasn1-modules-0.2.1-py_0
  conda-forge::twisted-18.7.0-py36hfa6e2cd_1
  conda-forge::service_identity-17.0.0-py_0
  conda-forge::cssselect-1.0.3-py_0
  conda-forge::pyhamcrest-1.9.0-py_2
  conda-forge::constantly-15.1.0-py_0
  conda-forge::pytest-runner-4.2-py_1
  conda-forge::pyasn1-0.4.4-py_0

DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Dylan\Anaconda3\pkgs' writable: True

## Package Plan ##

  environment location: C:\Users\Dylan\Anaconda3

  added / updated specs:
    - scrapy


The following NEW packages will be INSTALLED:

    appdirs:          1.4.3-py_1            conda-forge
    automat:          0.7.0-py_1            conda-forge
    constantly:       15.1.0-py_0           conda-forge
    cssselect:        1.0.3-py_0            conda-forge
    hyperlink:        17.3.1-py_0           conda-forge
    incremental:      17.5.0-py_0           conda-forge
    parsel:           1.5.0-py36_0
    pyasn1:           0.4.4-py_0            conda-forge
    pyasn1-modules:   0.2.1-py_0            conda-forge
    pydispatcher:     2.0.5-py_1            conda-forge
    pyhamcrest:       1.9.0-py_2            conda-forge
    pytest-runner:    4.2-py_1              conda-forge
    queuelib:         1.5.0-py36_0
    scrapy:           1.5.1-py36_0          conda-forge
    service_identity: 17.0.0-py_0           conda-forge
    twisted:          18.7.0-py36hfa6e2cd_1 conda-forge
    w3lib:            1.19.0-py36_0
    zope.interface:   4.5.0-py36hfa6e2cd_1  conda-forge

The following packages will be UPDATED:

    certifi:          2018.4.16-py36_0                  --> 2018.4.16-py36_0 conda-forge
    conda:            4.5.4-py36_0                      --> 4.5.11-py36_0    conda-forge

Proceed ([y]/n)? y

Preparing transaction: ...working... DEBUG conda.core.link:_get_python_version(630): found in current prefix python version 3.6
done
Verifying transaction: ...working... done
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGABRT
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGINT
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGTERM
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGBREAK
Executing transaction: ...working... INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::conda-4.5.4-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::certifi-2018.4.16-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::certifi-2018.4.16-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\certifi-2018.4.16-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: defaults::queuelib-1.5.0-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\queuelib-1.5.0-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\zope.interface-4.5.0-py36hfa6e2cd_1

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: defaults::w3lib-1.19.0-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\w3lib-1.19.0-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::appdirs-1.4.3-py_1 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\appdirs-1.4.3-py_1

DEBUG conda.gateways.subprocess:subprocess_call(46): executing>> "C:\Users\Dylan\Anaconda3\python.exe" -Wi -m py_compile "C:\Users\Dylan\Anaconda3\Lib\site-packages\appdirs.py"
INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::automat-0.7.0-py_1 <===
  prefix=C:\Users\Dylan\Anaconda3
  source=C:\Users\Dylan\Anaconda3\pkgs\automat-0.7.0-py_1

DEBUG conda.core.link:_execute_actions(562): Error in action #22 for pkg_idx #8 LinkPathAction(target_prefix='C:\\Users\\Dylan\\Anaconda3', target_short_path='Scripts/automat-visualize.exe', source_prefix='C:\\Users\\Dylan\\Anaconda3', source_short_path='Scripts/conda.exe', link_type=<LinkType.hardlink: 1>, _execute_successful=False, source_path_data=PathDataV1(_path='Scripts/automat-visualize.exe', path_type='windows_python_entry_point_exe'), prefix_path_data=PathDataV1(_path='Scripts/automat-visualize.exe', path_type='windows_python_entry_point_exe'), _verified=True)
Traceback (most recent call last):
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 556, in _execute_actions
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\path_actions.py", line 343, in execute
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\gateways\disk\create.py", line 305, in create_link
conda.CondaError: Cannot link a source that does not exist. C:\Users\Dylan\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::automat-0.7.0-py_1 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #8 from axn_idx #22
failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\Dylan\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.

Rolling back transaction: ...working... INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::appdirs-1.4.3-py_1 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #7 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: defaults::w3lib-1.19.0-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #6 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #5 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: defaults::queuelib-1.5.0-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #4 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::certifi-2018.4.16-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #3 from axn_idx #-1
DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #2 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::certifi-2018.4.16-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #1 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::conda-4.5.4-py36_0 <===
  prefix=C:\Users\Dylan\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #0 from axn_idx #-1
done
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGABRT
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGINT
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGTERM
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGBREAK
Traceback (most recent call last):
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 556, in _execute_actions
    action.execute()
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\path_actions.py", line 343, in execute
    force=context.force)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\gateways\disk\create.py", line 305, in create_link
    "Running `conda clean --packages` may resolve your problem." % src)
conda.CondaError: Cannot link a source that does not exist. C:\Users\Dylan\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 493, in _execute
    cls._execute_actions(pkg_idx, axngroup)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 574, in _execute_actions
    reverse_excs,
conda.CondaMultiError: Cannot link a source that does not exist. C:\Users\Dylan\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\exceptions.py", line 819, in __call__
    return func(*args, **kwargs)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\cli\main.py", line 78, in _main
    exit_code = do_call(args, p)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\cli\conda_argparse.py", line 77, in do_call
    exit_code = getattr(module, func_name)(args, parser)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\cli\main_install.py", line 11, in execute
    install(args, parser, 'install')
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\cli\install.py", line 253, in install
    handle_txn(unlink_link_transaction, prefix, args, newenv)
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\cli\install.py", line 282, in handle_txn
    unlink_link_transaction.execute()
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 229, in execute
    self._execute(tuple(concat(interleave(itervalues(self.prefix_action_groups)))))
  File "C:\Users\Dylan\Anaconda3\lib\site-packages\conda\core\link.py", line 521, in _execute
    rollback_excs,
conda.CondaMultiError: Cannot link a source that does not exist. C:\Users\Dylan\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
[EDIT by @mbargull: wrapped the output in a details tag.]

I'm running Python 3.7.0 and Anaconda 5.2 (Python 3.6 version) on a fresh Windows 10 Home system.

@awmv
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awmv commented Sep 2, 2018
(esntls) (base) C:\Users\Dylan\Documents\python-projects\esntls>conda config --set pinned_packages defaults::conda
CondaValueError: Key 'pinned_packages' is not a known primitive parameter.

@mbargull
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mbargull commented Sep 2, 2018
DEBUG conda.resolve:solve(938): Looking for alternate solutions
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 8017
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'appdirs' -> 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'

DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'anaconda' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
done
DEBUG conda.core.link:__init__(157): instantiating UnlinkLinkTransaction with
  target_prefix: C:\Users\Dylan\Anaconda3
  unlink_precs:
    defaults::conda-4.5.4-py36_0
    defaults::certifi-2018.4.16-py36_0
  link_precs:
    conda-forge::certifi-2018.4.16-py36_0
    defaults::queuelib-1.5.0-py36_0
    conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1
    defaults::w3lib-1.19.0-py36_0
    conda-forge::appdirs-1.4.3-py_1
    conda-forge::automat-0.7.0-py_1
    conda-forge::conda-4.5.11-py36_0

I didn't look at any of the dependencies, but this is my best guess:

Because of gh-7115 conda just says "oh, there's a dependency cycle! I can't topologically sort that. I'll just give you the packages in sort-by-name order.". In this case this means appdirs and automat are being installed after the old conda has been unlinked but before the new conda has been linked. Since those noarch: python packages on Windows need .exe files provided by conda, conda would have to be installed/linked beforehand to make it work.

To fix this issue, I think we need to

  1. fix toposort algorithm has corner cases where cycles are broken in obviously incorrect ways #7115 and make conda not give up for the whole dependency graph but just for the problematic part. It doesn't make sense for it to not topologically sort non-cyclic dependency chains in there and also branches that are unaffected by a loop, and
  2. take extra care of the conda if there are special cases that are not fixed by 1. (although my gut says 1. should fix it all).

@mbargull
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mbargull commented Sep 2, 2018

@abhinavankur and @robjane , until gh-7115is fixed, running a conda update -n base conda before installing anything else to base will probably workaround your issue.

@awmv
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awmv commented Sep 2, 2018

@mbargull Thank you for taking the time to help us!

(hard to tell since no conda list ouput is provided)

expand

conda list

# Name                    Version                   Build  Channel
_ipyw_jlab_nb_ext_conf    0.1.0            py36he6757f0_0
alabaster                 0.7.10           py36hcd07829_0
anaconda                  5.2.0                    py36_3
anaconda-client           1.6.14                   py36_0
anaconda-navigator        1.8.7                    py36_0
anaconda-project          0.8.2            py36hfad2e28_0
asn1crypto                0.24.0                   py36_0
astroid                   1.6.3                    py36_0
astropy                   3.0.2            py36h452e1ab_1
attrs                     18.1.0                   py36_0
babel                     2.5.3                    py36_0
backcall                  0.1.0                    py36_0
backports                 1.0              py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0            py36h79ab834_2
beautifulsoup4            4.6.0            py36hd4cc5e8_1
bitarray                  0.8.1            py36hfa6e2cd_1
bkcharts                  0.2              py36h7e685f7_0
blas                      1.0                         mkl
blaze                     0.11.3           py36h8a29ca5_0
bleach                    2.1.3                    py36_0
blosc                     1.14.3               he51fdeb_0
bokeh                     0.12.16                  py36_0
boto                      2.48.0           py36h1a776d2_1
bottleneck                1.2.1            py36hd119dfa_0
bzip2                     1.0.6                hfa6e2cd_5
ca-certificates           2018.03.07                    0
certifi                   2018.4.16                py36_0
cffi                      1.11.5           py36h945400d_0
chardet                   3.0.4            py36h420ce6e_1
click                     6.7              py36hec8c647_0
cloudpickle               0.5.3                    py36_0
clyent                    1.2.2            py36hb10d595_1
colorama                  0.3.9            py36h029ae33_0
comtypes                  1.1.4                    py36_0
conda                     4.5.11                   py36_0
conda-build               3.10.5                   py36_0
conda-env                 2.6.0                h36134e3_1
conda-verify              2.0.0            py36h065de53_0
console_shortcut          0.1.1                h6bb2dd7_3
contextlib2               0.5.5            py36he5d52c0_0
cryptography              2.2.2            py36hfa6e2cd_0
curl                      7.60.0               h7602738_0
cycler                    0.10.0           py36h009560c_0
cython                    0.28.2           py36hfa6e2cd_0
cytoolz                   0.9.0.1          py36hfa6e2cd_0
dask                      0.17.5                   py36_0
dask-core                 0.17.5                   py36_0
datashape                 0.5.4            py36h5770b85_0
decorator                 4.3.0                    py36_0
distributed               1.21.8                   py36_0
docutils                  0.14             py36h6012d8f_0
entrypoints               0.2.3            py36hfd66bb0_2
et_xmlfile                1.0.1            py36h3d2d736_0
fastcache                 1.0.2            py36hfa6e2cd_2
filelock                  3.0.4                    py36_0
flask                     1.0.2                    py36_1
flask-cors                3.0.4                    py36_0
freetype                  2.8                  h51f8f2c_1
get_terminal_size         1.0.0                h38e98db_0
gevent                    1.3.0            py36hfa6e2cd_0
glob2                     0.6              py36hdf76b57_0
greenlet                  0.4.13           py36hfa6e2cd_0
h5py                      2.7.1            py36h3bdd7fb_2
hdf5                      1.10.2               hac2f561_1
heapdict                  1.0.0                    py36_2
html5lib                  1.0.1            py36h047fa9f_0
icc_rt                    2017.0.4             h97af966_0
icu                       58.2                 ha66f8fd_1
idna                      2.6              py36h148d497_1
imageio                   2.3.0                    py36_0
imagesize                 1.0.0                    py36_0
intel-openmp              2018.0.0                      8
ipykernel                 4.8.2                    py36_0
ipython                   6.4.0                    py36_0
ipython_genutils          0.2.0            py36h3c5d0ee_0
ipywidgets                7.2.1                    py36_0
isort                     4.3.4                    py36_0
itsdangerous              0.24             py36hb6c5a24_1
jdcal                     1.4                      py36_0
jedi                      0.12.0                   py36_1
jinja2                    2.10             py36h292fed1_0
jpeg                      9b                   hb83a4c4_2
jsonschema                2.6.0            py36h7636477_0
jupyter                   1.0.0                    py36_4
jupyter_client            5.2.3                    py36_0
jupyter_console           5.2.0            py36h6d89b47_1
jupyter_core              4.4.0            py36h56e9d50_0
jupyterlab                0.32.1                   py36_0
jupyterlab_launcher       0.10.5                   py36_0
kiwisolver                1.0.1            py36h12c3424_0
lazy-object-proxy         1.3.1            py36hd1c21d2_0
libcurl                   7.60.0               hc4dcbb0_0
libiconv                  1.15                 h1df5818_7
libpng                    1.6.34               h79bbb47_0
libsodium                 1.0.16               h9d3ae62_0
libssh2                   1.8.0                hd619d38_4
libtiff                   4.0.9                hb8ad9f9_1
libxml2                   2.9.8                hadb2253_1
libxslt                   1.1.32               hf6f1972_0
llvmlite                  0.23.1           py36hcacf6c6_0
locket                    0.2.0            py36hfed976d_1
lxml                      4.2.1            py36heafd4d3_0
lzo                       2.10                 h6df0209_2
m2w64-gcc-libgfortran     5.3.0                         6
m2w64-gcc-libs            5.3.0                         7
m2w64-gcc-libs-core       5.3.0                         7
m2w64-gmp                 6.1.0                         2
m2w64-libwinpthread-git   5.0.0.4634.697f757               2
markupsafe                1.0              py36h0e26971_1
matplotlib                2.2.2            py36h153e9ff_1
mccabe                    0.6.1            py36hb41005a_1
menuinst                  1.4.14           py36hfa6e2cd_0
mistune                   0.8.3            py36hfa6e2cd_1
mkl                       2018.0.2                      1
mkl-service               1.1.2            py36h57e144c_4
mkl_fft                   1.0.1            py36h452e1ab_0
mkl_random                1.0.1            py36h9258bd6_0
more-itertools            4.1.0                    py36_0
mpmath                    1.0.0            py36hacc8adf_2
msgpack-python            0.5.6            py36he980bc4_0
msys2-conda-epoch         20160418                      1
multipledispatch          0.5.0                    py36_0
navigator-updater         0.2.1                    py36_0
nbconvert                 5.3.1            py36h8dc0fde_0
nbformat                  4.4.0            py36h3a5bc1b_0
networkx                  2.1                      py36_0
nltk                      3.3.0                    py36_0
nose                      1.3.7            py36h1c3779e_2
notebook                  5.5.0                    py36_0
numba                     0.38.0           py36h830ac7b_0
numexpr                   2.6.5            py36hcd2f87e_0
numpy                     1.14.3           py36h9fa60d3_1
numpy-base                1.14.3           py36h555522e_1
numpydoc                  0.8.0                    py36_0
odo                       0.5.1            py36h7560279_0
olefile                   0.45.1                   py36_0
openpyxl                  2.5.3                    py36_0
openssl                   1.0.2o               h8ea7d77_0
packaging                 17.1                     py36_0
pandas                    0.23.0           py36h830ac7b_0
pandoc                    1.19.2.1             hb2460c7_1
pandocfilters             1.4.2            py36h3ef6317_1
parso                     0.2.0                    py36_0
partd                     0.3.8            py36hc8e763b_0
path.py                   11.0.1                   py36_0
pathlib2                  2.3.2                    py36_0
patsy                     0.5.0                    py36_0
pep8                      1.7.1                    py36_0
pickleshare               0.7.4            py36h9de030f_0
pillow                    5.1.0            py36h0738816_0
pip                       10.0.1                   py36_0
pkginfo                   1.4.2                    py36_1
pluggy                    0.6.0            py36hc7daf1e_0
ply                       3.11                     py36_0
prompt_toolkit            1.0.15           py36h60b8f86_0
psutil                    5.4.5            py36hfa6e2cd_0
py                        1.5.3                    py36_0
pycodestyle               2.4.0                    py36_0
pycosat                   0.6.3            py36h413d8a4_0
pycparser                 2.18             py36hd053e01_1
pycrypto                  2.6.1            py36hfa6e2cd_8
pycurl                    7.43.0.1         py36h74b6da3_0
pyflakes                  1.6.0            py36h0b975d6_0
pygments                  2.2.0            py36hb010967_0
pylint                    1.8.4                    py36_0
pyodbc                    4.0.23           py36h6538335_0
pyopenssl                 18.0.0                   py36_0
pyparsing                 2.2.0            py36h785a196_1
pyqt                      5.9.2            py36h1aa27d4_0
pysocks                   1.6.8                    py36_0
pytables                  3.4.3            py36he6f6034_1
pytest                    3.5.1                    py36_0
pytest-arraydiff          0.2                      py36_0
pytest-astropy            0.3.0                    py36_0
pytest-doctestplus        0.1.3                    py36_0
pytest-openfiles          0.3.0                    py36_0
pytest-remotedata         0.2.1                    py36_0
python                    3.6.5                h0c2934d_0
python-dateutil           2.7.3                    py36_0
pytz                      2018.4                   py36_0
pywavelets                0.5.2            py36hc649158_0
pywin32                   223              py36hfa6e2cd_1
pywinpty                  0.5.1                    py36_0
pyyaml                    3.12             py36h1d1928f_1
pyzmq                     17.0.0           py36hfa6e2cd_1
qt                        5.9.5            vc14he4a7d60_0  [vc14]
qtawesome                 0.4.4            py36h5aa48f6_0
qtconsole                 4.3.1            py36h99a29a9_0
qtpy                      1.4.1                    py36_0
requests                  2.18.4           py36h4371aae_1
rope                      0.10.7           py36had63a69_0
ruamel_yaml               0.15.35          py36hfa6e2cd_1
scikit-image              0.13.1           py36hfa6e2cd_1
scikit-learn              0.19.1           py36h53aea1b_0
scipy                     1.1.0            py36h672f292_0
seaborn                   0.8.1            py36h9b69545_0
send2trash                1.5.0                    py36_0
setuptools                39.1.0                   py36_0
simplegeneric             0.8.1                    py36_2
singledispatch            3.4.0.3          py36h17d0c80_0
sip                       4.19.8           py36h6538335_0
six                       1.11.0           py36h4db2310_1
snappy                    1.1.7                h777316e_3
snowballstemmer           1.2.1            py36h763602f_0
sortedcollections         0.6.1                    py36_0
sortedcontainers          1.5.10                   py36_0
sphinx                    1.7.4                    py36_0
sphinxcontrib             1.0              py36hbbac3d2_1
sphinxcontrib-websupport  1.0.1            py36hb5e5916_1
spyder                    3.2.8                    py36_0
sqlalchemy                1.2.7            py36ha85dd04_0
sqlite                    3.23.1               h35aae40_0
statsmodels               0.9.0            py36h452e1ab_0
sympy                     1.1.1            py36h96708e0_0
tblib                     1.3.2            py36h30f5020_0
terminado                 0.8.1                    py36_1
testpath                  0.3.1            py36h2698cfe_0
tk                        8.6.7                hcb92d03_3
toolz                     0.9.0                    py36_0
tornado                   5.0.2                    py36_0
traitlets                 4.3.2            py36h096827d_0
typing                    3.6.4                    py36_0
unicodecsv                0.14.1           py36h6450c06_0
urllib3                   1.22             py36h276f60a_0
vc                        14                   h0510ff6_3
vs2015_runtime            14.0.25123                    3
wcwidth                   0.1.7            py36h3d5aa90_0
webencodings              0.5.1            py36h67c50ae_1
werkzeug                  0.14.1                   py36_0
wheel                     0.31.1                   py36_0
widgetsnbextension        3.2.1                    py36_0
win_inet_pton             1.0.1            py36he67d7fd_1
win_unicode_console       0.5              py36hcdbd4b5_0
wincertstore              0.2              py36h7fe50ca_0
winpty                    0.4.3                         4
wrapt                     1.10.11          py36he5f5981_0
xlrd                      1.1.0            py36h1cb58dc_1
xlsxwriter                1.0.4                    py36_0
xlwings                   0.11.8                   py36_0
xlwt                      1.3.0            py36h1a4751e_0
yaml                      0.1.7                hc54c509_2
zeromq                    4.2.5                hc6251cf_0
zict                      0.1.3            py36h2d8e73e_0
zlib                      1.2.11               h8395fce_2

I proceeded as you mentioned with conda update -n base conda. I ran into an HTTP error that presumably only temporally occurs

(esntls) (base) C:\Users\Dylan\Documents\python-projects\esntls>conda install -c conda-forge scrapy
Solving environment: failed

CondaHTTPError: HTTP 500 INTERNAL SERVER ERROR for url <https://conda.anaconda.org/conda-forge/noarch/repodata.json>
Elapsed: 00:00.385462
CF-RAY: 453f13232d199726-FRA

A remote server error occurred when trying to retrieve this URL.

A 500-type error (e.g. 500, 501, 502, 503, etc.) indicates the server failed to
fulfill a valid request.  The problem may be spurious, and will resolve itself if you
try your request again.  If the problem persists, consider notifying the maintainer
of the remote server.

@mbargull
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mbargull commented Sep 2, 2018

I proceeded as you mentioned with conda update -n base conda. I ran into an HTTP error that presumably only temporally occurs

Yeah, had that too this morning. Just try it a couple of times. After the third try it worked for me.
There has been a short outage last night (https://gitter.im/conda/conda?at=5b8b38bfd457a1406c9332a7 ff.). Not sure if it's related in any way, though.

@abhinavankur
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@kalefranz To your request to run conda install -c conda-forge scrapy -vv. Here it goes.

(base) C:\Users\Abhinav>conda install -c conda-forge scrapy -vv
DEBUG conda.gateways.logging:set_verbosity(148): verbosity set to 2
Solving environment: ...working... DEBUG conda.core.solve:solve_final_state(142): solving prefix C:\Users\Abhinav\Anaconda3
  specs_to_remove: frozenset()
  specs_to_add: frozenset({MatchSpec(name=LowerStrMatch('scrapy'))})
  prune: False
DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Abhinav\Anaconda3\pkgs' writable: True
DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Abhinav\AppData\Local\conda\conda\pkgs' writable: True
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/pro/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\5fa16146.json
DEBUG urllib3.util.retry:from_int(200): Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
DEBUG urllib3.connectionpool:_new_conn(824): Starting new HTTPS connection (1): repo.anaconda.com
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/pro/noarch/repodata.json.bz2 HTTP/1.1" 200 110
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/pro/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> If-Modified-Since: Wed, 29 Aug 2018 11:49:32 GMT
> If-None-Match: "a03a8ce02144dee86add4a372c6c86b7"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3bb51e422fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:33 GMT
< ETag: "a03a8ce02144dee86add4a372c6c86b7"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:03 GMT
< Last-Modified: Sat, 01 Sep 2018 14:54:33 GMT
< Server: cloudflare
< Set-Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513; expires=Mon, 02-Sep-19 10:18:33 GMT; path=/; domain=.anaconda.com; HttpOnly; Secure
< Vary: Accept-Encoding
< x-amz-id-2: mN/EmmYia1u7NvvoaAwS/9I0gcsAIK3eofR067QVvVy3WHGUixaxcodGJba3MJ4uPAUHVuZzJ6U=
< x-amz-request-id: C482C5AF598DB04B
< x-amz-version-id: xPsNXacjt9mYhqOV2Kem4yrsAAuLgy3Y
< Content-Length: 110
< Connection: keep-alive
< Elapsed: 00:00.331012

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/pro/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\5fa16146.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://conda.anaconda.org/conda-forge/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\09cdf8bf.json
DEBUG conda.gateways.connection.session:add_binstar_token(125): Adding anaconda token for url <https://conda.anaconda.org/conda-forge/noarch/repodata.json>
DEBUG urllib3.connectionpool:_new_conn(824): Starting new HTTPS connection (1): conda.anaconda.org
DEBUG urllib3.connectionpool:_make_request(396): https://conda.anaconda.org:443 "GET /t/ab-a5b6ffa6-4720-4744-94af-30aa36a81775/conda-forge/noarch/repodata.json HTTP/1.1" 200 None
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /t/ab-a5b6ffa6-4720-4744-94af-30aa36a81775/conda-forge/noarch/repodata.json HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: gzip, deflate, compress, identity
> Connection: keep-alive
> Content-Type: application/json
> If-Modified-Since: Wed, 29 Aug 2018 19:58:15 GMT

<<HTTPS 200 OK
< CF-RAY: 453f3bb6acea8969-MAA
< Conda-File-Cache: hit
< Content-Encoding: gzip
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:35 GMT
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Last-Modified: Sun, 02 Sep 2018 08:40:54 GMT
< Server: cloudflare
< Set-Cookie: __cfduid=da9218b753301174f2575b4738cb8724e1535883513; expires=Mon, 02-Sep-19 10:18:33 GMT; path=/; domain=.anaconda.org; HttpOnly
< Strict-Transport-Security: max-age=31536000
< Transfer-Encoding: chunked
< Connection: keep-alive
< Elapsed: 00:01.764251

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://conda.anaconda.org/conda-forge/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\09cdf8bf.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/free/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\d77296e0.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/free/noarch/repodata.json.bz2 HTTP/1.1" 200 1928
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/free/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 11:47:02 GMT
> If-None-Match: "b23fbf0113c7195c9a87e96d1a6431f7"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3bcd8f072fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:37 GMT
< ETag: "b23fbf0113c7195c9a87e96d1a6431f7"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:07 GMT
< Last-Modified: Sat, 01 Sep 2018 14:51:47 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: HURscEWBvo4fYQnvE8J31NGbGGfmhJwj8q5kOaqAISpMm5TgLurx5Bg17Mxgqw+IfsGsx39VHh8=
< x-amz-request-id: A030C9195BE4718F
< x-amz-version-id: oRqX5GxEILLDjSKcOthOHBXUHmaf8CV5
< Content-Length: 1928
< Connection: keep-alive
< Elapsed: 00:00.029820

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/free/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\d77296e0.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/main/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\59ba4880.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/main/win-64/repodata.json.bz2 HTTP/1.1" 200 628279
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/main/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 17:16:58 GMT
> If-None-Match: "149f1fa4c5dbd9c2c17968c61425ca01"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3bd11b402fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:37 GMT
< ETag: "b8868ba1057a3927db9c8cbda932bfb5"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:07 GMT
< Last-Modified: Sat, 01 Sep 2018 17:58:36 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: DHQCpgZuc4Qe731gkn3MU09hsTXGYXGmCcSYqs99NbHt2t452QVD3myl5o0F/Q5J1heInWECtq0=
< x-amz-request-id: 1CE52C7324E5834F
< x-amz-version-id: HJy4c7b1FreghUt4WAGosjSFaay3q_LD
< Content-Length: 628279
< Connection: keep-alive
< Elapsed: 00:00.024270

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/main/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\59ba4880.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/r/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\920c960f.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/r/win-64/repodata.json.bz2 HTTP/1.1" 200 95606
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/r/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 09:44:04 GMT
> If-None-Match: "5ff231c4c5a39194eed3543c5294ab2a"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3bdf7ce52fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:39 GMT
< ETag: "8e9121f01b3952387d4c2d133fa31293"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:09 GMT
< Last-Modified: Fri, 31 Aug 2018 21:57:53 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: iiwAsucTW+boH1FRtywB20pl1N3E4LlOY3OFvDrwMeVnuLCg2g4eZLYOurUneYLoh5W+RnUO5ow=
< x-amz-request-id: 9C1F00876EB35CD3
< x-amz-version-id: bIUABT3Nz5Qils4lwYmJhr8aach8mtY0
< Content-Length: 95606
< Connection: keep-alive
< Elapsed: 00:00.023737

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/r/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\920c960f.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/free/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\d6a04735.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/free/win-64/repodata.json.bz2 HTTP/1.1" 200 392689
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/free/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 11:47:55 GMT
> If-None-Match: "9e1595f41ee0792e37a0d78886d49874"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3be7bee92fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:41 GMT
< ETag: "9e1595f41ee0792e37a0d78886d49874"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:11 GMT
< Last-Modified: Sat, 01 Sep 2018 14:53:09 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: J1ePVHrOTrzU/KnUZWZTSMd6Pul83I4rl/KIpM/IymWEJLA90CqB7m1EGGyrkfSYUQWviFisqMw=
< x-amz-request-id: 7BE3F2060E2BDE16
< x-amz-version-id: Lk7x9BDiWKS3V1Wdz9I8H1XsQteIEkrj
< Content-Length: 392689
< Connection: keep-alive
< Elapsed: 00:00.136005

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/free/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\d6a04735.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/pro/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\1120365f.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/pro/win-64/repodata.json.bz2 HTTP/1.1" 200 18431
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/pro/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 11:49:34 GMT
> If-None-Match: "52906ddb7065aff77a1b5b4af5b4ad7c"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3bff3d852fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:45 GMT
< ETag: "52906ddb7065aff77a1b5b4af5b4ad7c"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:15 GMT
< Last-Modified: Sat, 01 Sep 2018 14:54:35 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: a25XE9VAUVjCggxKzfiShyrLtZ0yRwvsSMswxmXUiB0SM0LwSo9H2drMZRarfeOR/5CKtX+v7Lo=
< x-amz-request-id: 37EF6C90137F29E8
< x-amz-version-id: PUIjcL4kBs.Bzia4CVke9CoiWHca2e6u
< Content-Length: 18431
< Connection: keep-alive
< Elapsed: 00:00.025813

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/pro/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\1120365f.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://conda.anaconda.org/conda-forge/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\5afe41e9.json
DEBUG conda.gateways.connection.session:add_binstar_token(125): Adding anaconda token for url <https://conda.anaconda.org/conda-forge/win-64/repodata.json>
DEBUG urllib3.connectionpool:_make_request(396): https://conda.anaconda.org:443 "GET /t/ab-a5b6ffa6-4720-4744-94af-30aa36a81775/conda-forge/win-64/repodata.json HTTP/1.1" 200 None
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /t/ab-a5b6ffa6-4720-4744-94af-30aa36a81775/conda-forge/win-64/repodata.json HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: gzip, deflate, compress, identity
> Connection: keep-alive
> Content-Type: application/json
> Cookie: __cfduid=da9218b753301174f2575b4738cb8724e1535883513
> If-Modified-Since: Wed, 29 Aug 2018 19:58:15 GMT

<<HTTPS 200 OK
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< Conda-File-Cache: hit
< Content-Encoding: gzip
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:18:46 GMT
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Last-Modified: Sun, 02 Sep 2018 08:40:54 GMT
< Server: cloudflare
< Strict-Transport-Security: max-age=31536000
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DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://conda.anaconda.org/conda-forge/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\5afe41e9.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/r/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\4ea078d6.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/r/noarch/repodata.json.bz2 HTTP/1.1" 200 372
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/r/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 09:43:51 GMT
> If-None-Match: "6648f0267381023f39384656f7e0a013"

<<HTTPS 200 OK
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< CF-Cache-Status: HIT
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< ETag: "6648f0267381023f39384656f7e0a013"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:29 GMT
< Last-Modified: Sat, 01 Sep 2018 08:13:17 GMT
< Server: cloudflare
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< x-amz-id-2: JaIctiGFrg1w5aaqk5vT+E3Sl+ol7qv8SPpcKU9y3tL0i+gBuFWKUINZPJo8buA71MgNLtHS2+8=
< x-amz-request-id: E08F025089880E7B
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DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/r/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\4ea078d6.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/main/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\3e39a7aa.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/main/noarch/repodata.json.bz2 HTTP/1.1" 200 27397
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/main/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 17:16:23 GMT
> If-None-Match: "4306d75756526adbe0fa67399c129de3"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
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< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:19:00 GMT
< ETag: "4306d75756526adbe0fa67399c129de3"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:30 GMT
< Last-Modified: Sat, 01 Sep 2018 17:58:03 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: EV9ch5y+i1Z7bq8i+Wu2wjfkmkQDu8EjB2yXEiNfXILDvir8Gcg7nXYMN/beZsJb051m9nCXqis=
< x-amz-request-id: C2340D4592232643
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DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/main/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\3e39a7aa.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/msys2/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\5ca77eed.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/msys2/win-64/repodata.json.bz2 HTTP/1.1" 200 17871
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/msys2/win-64/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Wed, 29 Aug 2018 09:43:30 GMT
> If-None-Match: "dc9d2f2d2f73802f393f371159ac35ee"

<<HTTPS 200 OK
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
< CF-RAY: 453f3c5f7dc42fcf-MAA
< Content-Type: application/json
< Date: Sun, 02 Sep 2018 10:19:00 GMT
< ETag: "dc9d2f2d2f73802f393f371159ac35ee"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:30 GMT
< Last-Modified: Fri, 31 Aug 2018 21:57:20 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: d33x9asO7BZabaZTjYM3PpcIpe4AzxXw8Wdaem1cQPnhw+BoWb+iXFFm3tgSmyB5UwhUzi5i7g4=
< x-amz-request-id: 5B700D47270DEB03
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< Content-Length: 17871
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< Elapsed: 00:00.026778

DEBUG conda.core.subdir_data:_pickle_me(253): Saving pickled state for https://repo.anaconda.com/pkgs/msys2/win-64 at C:\Users\Abhinav\Anaconda3\pkgs\cache\5ca77eed.json
DEBUG conda.core.subdir_data:_load(222): Local cache timed out for https://repo.anaconda.com/pkgs/msys2/noarch at C:\Users\Abhinav\Anaconda3\pkgs\cache\c4a505b4.json
DEBUG urllib3.connectionpool:_make_request(396): https://repo.anaconda.com:443 "GET /pkgs/msys2/noarch/repodata.json.bz2 HTTP/1.1" 304 0
DEBUG conda.core.subdir_data:fetch_repodata_remote_request(439):
>>GET /pkgs/msys2/noarch/repodata.json.bz2 HTTPS
> User-Agent: conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17134
> Accept: */*
> Accept-Encoding: identity
> Connection: keep-alive
> Cookie: __cfduid=d6319564de43879111d08dda271a0a2181535883513
> If-Modified-Since: Tue, 31 Jan 2017 05:26:20 GMT
> If-None-Match: "e8c60de6ccbc390c49c0a91035a53c64"

<<HTTPS 304 Not Modified
< Cache-Control: public, max-age=30
< CF-Cache-Status: HIT
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< Date: Sun, 02 Sep 2018 10:19:00 GMT
< ETag: "e8c60de6ccbc390c49c0a91035a53c64"
< Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
< Expires: Sun, 02 Sep 2018 10:19:30 GMT
< Last-Modified: Tue, 31 Jan 2017 05:26:20 GMT
< Server: cloudflare
< Vary: Accept-Encoding
< x-amz-id-2: CuY2Grt+75CXgcdAWMsZvp7rZyltshpy4W54I9nAXLO3gasRP/Gb9BInaJkQP1upfdz2/p9P/H0=
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DEBUG conda.core.subdir_data:_load(230): 304 NOT MODIFIED for 'https://repo.anaconda.com/pkgs/msys2/noarch'. Updating mtime and loading from disk
DEBUG conda.core.subdir_data:_read_pickled(293): found pickle file C:\Users\Abhinav\Anaconda3\pkgs\cache\c4a505b4.q
DEBUG conda.resolve:bad_installed(722): Checking if the current environment is consistent
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 1619
DEBUG conda.resolve:generate_spec_constraints(518): generate_spec_constraints returning with clause count: 1619
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 1863
DEBUG conda.core.solve:solve_final_state(224): inconsistent dists: None
DEBUG conda.resolve:get_reduced_index(252): Retrieving packages for:
  - _ipyw_jlab_nb_ext_conf
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DEBUG conda.resolve:filter_group(277): python: pruned from 172 -> 164
DEBUG conda.resolve:filter_group(277): pip: pruned from 144 -> 122
DEBUG conda.resolve:filter_group(277): twisted: pruned from 89 -> 80
DEBUG conda.resolve:filter_group(277): zope.interface: pruned from 58 -> 54
DEBUG conda.resolve:filter_group(277): w3lib: pruned from 42 -> 34
DEBUG conda.resolve:filter_group(277): ipywidgets: pruned from 140 -> 137
DEBUG conda.resolve:filter_group(277): ipython: pruned from 217 -> 189
DEBUG conda.resolve:filter_group(277): decorator: pruned from 64 -> 61
DEBUG conda.resolve:filter_group(277): python: pruned from 164 -> 160
DEBUG conda.resolve:filter_group(277): pip: pruned from 122 -> 105
DEBUG conda.resolve:filter_group(277): pyzmq: pruned from 146 -> 120
DEBUG conda.resolve:filter_group(277): ipython: pruned from 189 -> 182
DEBUG conda.resolve:filter_group(277): jinja2: pruned from 78 -> 62
DEBUG conda.resolve:filter_group(277): mistune: pruned from 69 -> 59
DEBUG conda.resolve:filter_group(277): jsonschema: pruned from 28 -> 26
DEBUG conda.resolve:filter_group(277): pygments: pruned from 48 -> 40
DEBUG conda.resolve:filter_group(277): tornado: pruned from 139 -> 113
DEBUG conda.resolve:filter_group(277): python: pruned from 160 -> 134
DEBUG conda.resolve:filter_group(277): pip: pruned from 105 -> 82
DEBUG conda.resolve:filter_group(277): widgetsnbextension: pruned from 135 -> 125
DEBUG conda.resolve:filter_group(277): notebook: pruned from 170 -> 132
DEBUG conda.resolve:filter_group(277): ipykernel: pruned from 88 -> 72
DEBUG conda.resolve:filter_group(277): ipython: pruned from 182 -> 149
DEBUG conda.resolve:filter_group(277): jupyter_client: pruned from 74 -> 64
DEBUG conda.resolve:filter_group(277): jupyter_core: pruned from 57 -> 43
DEBUG conda.resolve:filter_group(277): traitlets: pruned from 44 -> 33
DEBUG conda.resolve:filter_group(277): decorator: pruned from 61 -> 47
DEBUG conda.resolve:filter_group(277): ipython_genutils: pruned from 21 -> 17
DEBUG conda.resolve:filter_group(277): pyzmq: pruned from 120 -> 94
DEBUG conda.resolve:filter_group(277): jinja2: pruned from 62 -> 49
DEBUG conda.resolve:filter_group(277): nbconvert: pruned from 46 -> 40
DEBUG conda.resolve:filter_group(277): mistune: pruned from 59 -> 48
DEBUG conda.resolve:filter_group(277): nbformat: pruned from 41 -> 33
DEBUG conda.resolve:filter_group(277): jsonschema: pruned from 26 -> 22
DEBUG conda.resolve:filter_group(277): pygments: pruned from 40 -> 30
DEBUG conda.resolve:filter_group(277): tornado: pruned from 113 -> 93
DEBUG conda.resolve:filter_group(277): zict: pruned from 38 -> 32
DEBUG conda.resolve:filter_group(277): heapdict: pruned from 20 -> 15
DEBUG conda.resolve:filter_group(277): xlwt: pruned from 33 -> 25
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DEBUG conda.resolve:filter_group(277): pywin32: pruned from 46 -> 38
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DEBUG conda.resolve:filter_group(277): xlrd: pruned from 40 -> 26
DEBUG conda.resolve:filter_group(277): wrapt: pruned from 27 -> 24
DEBUG conda.resolve:filter_group(277): win_unicode_console: pruned from 12 -> 10
DEBUG conda.resolve:filter_group(277): wincertstore: pruned from 18 -> 17
DEBUG conda.resolve:filter_group(277): wheel: pruned from 46 -> 37
DEBUG conda.resolve:filter_group(277): werkzeug: pruned from 93 -> 59
DEBUG conda.resolve:filter_group(277): wcwidth: pruned from 16 -> 13
DEBUG conda.resolve:filter_group(277): urllib3: pruned from 38 -> 35
DEBUG conda.resolve:filter_group(277): unicodecsv: pruned from 16 -> 13
DEBUG conda.resolve:filter_group(277): typing: pruned from 36 -> 35
DEBUG conda.resolve:filter_group(277): toolz: pruned from 54 -> 34
DEBUG conda.resolve:filter_group(277): testpath: pruned from 21 -> 20
DEBUG conda.resolve:filter_group(277): tornado: pruned from 93 -> 84
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DEBUG conda.resolve:filter_group(277): sympy: pruned from 54 -> 40
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DEBUG conda.resolve:filter_group(277): numpy: pruned from 290 -> 202
DEBUG conda.resolve:filter_group(277): pandas: pruned from 282 -> 208
DEBUG conda.resolve:filter_group(277): sqlalchemy: pruned from 217 -> 146
DEBUG conda.resolve:filter_group(277): spyder: pruned from 179 -> 155
DEBUG conda.resolve:filter_group(277): sphinx: pruned from 171 -> 134
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DEBUG conda.resolve:filter_group(277): scikit-learn: pruned from 146 -> 85
DEBUG conda.resolve:filter_group(277): scikit-image: pruned from 136 -> 91
DEBUG conda.resolve:filter_group(277): ruamel_yaml: pruned from 94 -> 88
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DEBUG conda.resolve:filter_group(277): pyqt: pruned from 85 -> 67
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DEBUG conda.resolve:filter_group(277): numpy: pruned from 202 -> 189
DEBUG conda.resolve:filter_group(277): python-dateutil: pruned from 59 -> 44
DEBUG conda.resolve:filter_group(277): python: pruned from 134 -> 79
DEBUG conda.resolve:filter_group(277): pip: pruned from 82 -> 38
DEBUG conda.resolve:filter_group(277): setuptools: pruned from 251 -> 130
DEBUG conda.resolve:filter_group(277): wheel: pruned from 37 -> 24
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DEBUG conda.resolve:filter_group(277): pytest: pruned from 259 -> 107
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DEBUG conda.resolve:filter_group(277): psutil: pruned from 184 -> 76
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DEBUG conda.resolve:filter_group(277): pytest-arraydiff: pruned from 8 -> 6
DEBUG conda.resolve:filter_group(277): numpy: pruned from 189 -> 123
DEBUG conda.resolve:filter_group(277): pytables: pruned from 158 -> 81
DEBUG conda.resolve:filter_group(277): hdf5: pruned from 96 -> 70
DEBUG conda.resolve:filter_group(277): numexpr: pruned from 206 -> 64
DEBUG conda.resolve:filter_group(277): pysocks: pruned from 27 -> 18
DEBUG conda.resolve:filter_group(277): pyqt: pruned from 67 -> 42
DEBUG conda.resolve:filter_group(277): sip: pruned from 41 -> 28
DEBUG conda.resolve:filter_group(277): pyparsing: pruned from 50 -> 20
DEBUG conda.resolve:filter_group(277): pyopenssl: pruned from 59 -> 27
DEBUG conda.resolve:filter_group(277): cryptography: pruned from 122 -> 49
DEBUG conda.resolve:filter_group(277): cffi: pruned from 88 -> 32
DEBUG conda.resolve:filter_group(277): pycparser: pruned from 52 -> 18
DEBUG conda.resolve:filter_group(277): idna: pruned from 47 -> 27
DEBUG conda.resolve:filter_group(277): pyodbc: pruned from 49 -> 25
DEBUG conda.resolve:filter_group(277): pylint: pruned from 110 -> 55
DEBUG conda.resolve:filter_group(277): astroid: pruned from 93 -> 45
DEBUG conda.resolve:filter_group(277): pygments: pruned from 30 -> 17
DEBUG conda.resolve:filter_group(277): pyflakes: pruned from 92 -> 31
DEBUG conda.resolve:filter_group(277): pycurl: pruned from 30 -> 14
DEBUG conda.resolve:filter_group(277): pycrypto: pruned from 50 -> 19
DEBUG conda.resolve:filter_group(277): pycosat: pruned from 43 -> 20
DEBUG conda.resolve:filter_group(277): pycodestyle: pruned from 27 -> 17
DEBUG conda.resolve:filter_group(277): prompt_toolkit: pruned from 89 -> 48
DEBUG conda.resolve:filter_group(277): wcwidth: pruned from 13 -> 9
DEBUG conda.resolve:filter_group(277): ply: pruned from 45 -> 19
DEBUG conda.resolve:filter_group(277): pluggy: pruned from 21 -> 16
DEBUG conda.resolve:filter_group(277): pkginfo: pruned from 25 -> 15
DEBUG conda.resolve:filter_group(277): pillow: pruned from 174 -> 81
DEBUG conda.resolve:filter_group(277): pickleshare: pruned from 31 -> 15
DEBUG conda.resolve:filter_group(277): pep8: pruned from 40 -> 10
DEBUG conda.resolve:filter_group(277): patsy: pruned from 44 -> 13
DEBUG conda.resolve:filter_group(277): pathlib2: pruned from 33 -> 20
DEBUG conda.resolve:filter_group(277): path.py: pruned from 54 -> 27
DEBUG conda.resolve:filter_group(277): partd: pruned from 50 -> 21
DEBUG conda.resolve:filter_group(277): locket: pruned from 20 -> 10
DEBUG conda.resolve:filter_group(277): toolz: pruned from 34 -> 19
DEBUG conda.resolve:filter_group(277): parso: pruned from 26 -> 20
DEBUG conda.resolve:filter_group(277): pandocfilters: pruned from 25 -> 16
DEBUG conda.resolve:filter_group(277): pandas: pruned from 208 -> 118
DEBUG conda.resolve:filter_group(277): python-dateutil: pruned from 44 -> 28
DEBUG conda.resolve:filter_group(277): pytz: pruned from 75 -> 41
DEBUG conda.resolve:filter_group(277): packaging: pruned from 19 -> 11
DEBUG conda.resolve:filter_group(277): openpyxl: pruned from 104 -> 59
DEBUG conda.resolve:filter_group(277): olefile: pruned from 24 -> 14
DEBUG conda.resolve:filter_group(277): odo: pruned from 48 -> 15
DEBUG conda.resolve:filter_group(277): datashape: pruned from 90 -> 15
DEBUG conda.resolve:filter_group(277): multipledispatch: pruned from 58 -> 17
DEBUG conda.resolve:filter_group(277): networkx: pruned from 53 -> 22
DEBUG conda.resolve:filter_group(277): decorator: pruned from 47 -> 29
DEBUG conda.resolve:filter_group(277): numpydoc: pruned from 34 -> 17
DEBUG conda.resolve:filter_group(277): sphinx: pruned from 134 -> 80
DEBUG conda.resolve:filter_group(277): alabaster: pruned from 41 -> 20
DEBUG conda.resolve:filter_group(277): babel: pruned from 61 -> 31
DEBUG conda.resolve:filter_group(277): docutils: pruned from 32 -> 18
DEBUG conda.resolve:filter_group(277): jinja2: pruned from 49 -> 28
DEBUG conda.resolve:filter_group(277): markupsafe: pruned from 48 -> 20
DEBUG conda.resolve:filter_group(277): snowballstemmer: pruned from 13 -> 9
DEBUG conda.resolve:filter_group(277): numpy-base: pruned from 78 -> 52
DEBUG conda.resolve:filter_group(277): mkl: pruned from 42 -> 2
DEBUG conda.resolve:filter_group(277): vc: pruned from 12 -> 6
DEBUG conda.resolve:filter_group(277): numpy: pruned from 123 -> 100
DEBUG conda.resolve:filter_group(277): numexpr: pruned from 64 -> 41
DEBUG conda.resolve:filter_group(277): numba: pruned from 283 -> 78
DEBUG conda.resolve:filter_group(277): llvmlite: pruned from 98 -> 46
DEBUG conda.resolve:filter_group(277): notebook: pruned from 132 -> 86
DEBUG conda.resolve:filter_group(277): ipykernel: pruned from 72 -> 44
DEBUG conda.resolve:filter_group(277): ipython: pruned from 149 -> 92
DEBUG conda.resolve:filter_group(277): jupyter_client: pruned from 64 -> 41
DEBUG conda.resolve:filter_group(277): jupyter_core: pruned from 43 -> 25
DEBUG conda.resolve:filter_group(277): traitlets: pruned from 33 -> 20
DEBUG conda.resolve:filter_group(277): ipython_genutils: pruned from 17 -> 12
DEBUG conda.resolve:filter_group(277): pyzmq: pruned from 94 -> 51
DEBUG conda.resolve:filter_group(277): nbconvert: pruned from 40 -> 26
DEBUG conda.resolve:filter_group(277): mistune: pruned from 48 -> 28
DEBUG conda.resolve:filter_group(277): nbformat: pruned from 33 -> 21
DEBUG conda.resolve:filter_group(277): jsonschema: pruned from 22 -> 15
DEBUG conda.resolve:filter_group(277): tornado: pruned from 84 -> 50
DEBUG conda.resolve:filter_group(277): nose: pruned from 57 -> 13
DEBUG conda.resolve:filter_group(277): nltk: pruned from 80 -> 23
DEBUG conda.resolve:filter_group(277): navigator-updater: pruned from 13 -> 9
DEBUG conda.resolve:filter_group(277): qtpy: pruned from 63 -> 42
DEBUG conda.resolve:filter_group(277): msgpack-python: pruned from 48 -> 28
DEBUG conda.resolve:filter_group(277): mpmath: pruned from 32 -> 17
DEBUG conda.resolve:filter_group(277): more-itertools: pruned from 42 -> 29
DEBUG conda.resolve:filter_group(277): numpy: pruned from 100 -> 89
DEBUG conda.resolve:filter_group(277): mkl_fft: pruned from 36 -> 25
DEBUG conda.resolve:filter_group(277): mkl-service: pruned from 33 -> 10
DEBUG conda.resolve:filter_group(277): menuinst: pruned from 102 -> 48
DEBUG conda.resolve:filter_group(277): mccabe: pruned from 37 -> 15
DEBUG conda.resolve:filter_group(277): matplotlib: pruned from 278 -> 121
DEBUG conda.resolve:filter_group(277): cycler: pruned from 22 -> 11
DEBUG conda.resolve:filter_group(277): libpng: pruned from 51 -> 21
DEBUG conda.resolve:filter_group(277): lzo: pruned from 10 -> 5
DEBUG conda.resolve:filter_group(277): lxml: pruned from 168 -> 69
DEBUG conda.resolve:filter_group(277): libxslt: pruned from 22 -> 10
DEBUG conda.resolve:filter_group(277): libxml2: pruned from 39 -> 17
DEBUG conda.resolve:filter_group(277): libiconv: pruned from 20 -> 8
DEBUG conda.resolve:filter_group(277): zlib: pruned from 32 -> 14
DEBUG conda.resolve:filter_group(277): libtiff: pruned from 52 -> 23
DEBUG conda.resolve:filter_group(277): jpeg: pruned from 25 -> 11
DEBUG conda.resolve:filter_group(277): libssh2: pruned from 17 -> 8
DEBUG conda.resolve:filter_group(277): libsodium: pruned from 9 -> 5
DEBUG conda.resolve:filter_group(277): libcurl: pruned from 9 -> 4
DEBUG conda.resolve:filter_group(277): libssh2: pruned from 8 -> 5
DEBUG conda.resolve:filter_group(277): zlib: pruned from 14 -> 7
DEBUG conda.resolve:filter_group(277): lazy-object-proxy: pruned from 34 -> 21
DEBUG conda.resolve:filter_group(277): kiwisolver: pruned from 28 -> 16
DEBUG conda.resolve:filter_group(277): jupyter_console: pruned from 51 -> 25
DEBUG conda.resolve:filter_group(277): jupyterlab_launcher: pruned from 125 -> 88
DEBUG conda.resolve:filter_group(277): jupyterlab: pruned from 392 -> 252
DEBUG conda.resolve:filter_group(277): jupyter: pruned from 27 -> 15
DEBUG conda.resolve:filter_group(277): ipywidgets: pruned from 137 -> 83
DEBUG conda.resolve:filter_group(277): qtconsole: pruned from 62 -> 39
DEBUG conda.resolve:filter_group(277): jedi: pruned from 67 -> 40
DEBUG conda.resolve:filter_group(277): jdcal: pruned from 29 -> 15
DEBUG conda.resolve:filter_group(277): itsdangerous: pruned from 25 -> 11
DEBUG conda.resolve:filter_group(277): isort: pruned from 32 -> 20
DEBUG conda.resolve:filter_group(277): imagesize: pruned from 22 -> 13
DEBUG conda.resolve:filter_group(277): imageio: pruned from 21 -> 14
DEBUG conda.resolve:filter_group(277): pillow: pruned from 81 -> 77
DEBUG conda.resolve:filter_group(277): icu: pruned from 23 -> 8
DEBUG conda.resolve:filter_group(277): html5lib: pruned from 29 -> 19
DEBUG conda.resolve:filter_group(277): heapdict: pruned from 15 -> 10
DEBUG conda.resolve:filter_group(277): hdf5: pruned from 70 -> 28
DEBUG conda.resolve:filter_group(277): h5py: pruned from 184 -> 65
DEBUG conda.resolve:filter_group(277): greenlet: pruned from 59 -> 18
DEBUG conda.resolve:filter_group(277): glob2: pruned from 19 -> 12
DEBUG conda.resolve:filter_group(277): gevent: pruned from 58 -> 30
DEBUG conda.resolve:filter_group(277): get_terminal_size: pruned from 5 -> 3
DEBUG conda.resolve:filter_group(277): freetype: pruned from 42 -> 18
DEBUG conda.resolve:filter_group(277): flask-cors: pruned from 29 -> 18
DEBUG conda.resolve:filter_group(277): flask: pruned from 49 -> 24
DEBUG conda.resolve:filter_group(277): werkzeug: pruned from 59 -> 32
DEBUG conda.resolve:filter_group(277): filelock: pruned from 29 -> 18
DEBUG conda.resolve:filter_group(277): fastcache: pruned from 26 -> 15
DEBUG conda.resolve:filter_group(277): et_xmlfile: pruned from 11 -> 7
DEBUG conda.resolve:filter_group(277): entrypoints: pruned from 45 -> 24
DEBUG conda.resolve:filter_group(277): distributed: pruned from 286 -> 155
DEBUG conda.resolve:filter_group(277): click: pruned from 38 -> 16
DEBUG conda.resolve:filter_group(277): cloudpickle: pruned from 72 -> 42
DEBUG conda.resolve:filter_group(277): tblib: pruned from 24 -> 16
DEBUG conda.resolve:filter_group(277): datashape: pruned from 15 -> 13
DEBUG conda.resolve:filter_group(277): dask-core: pruned from 65 -> 49
DEBUG conda.resolve:filter_group(277): dask: pruned from 209 -> 106
DEBUG conda.resolve:filter_group(277): cytoolz: pruned from 68 -> 25
DEBUG conda.resolve:filter_group(277): cython: pruned from 174 -> 65
DEBUG conda.resolve:filter_group(277): curl: pruned from 66 -> 31
DEBUG conda.resolve:filter_group(277): contextlib2: pruned from 36 -> 18
DEBUG conda.resolve:filter_group(277): console_shortcut: pruned from 11 -> 7
DEBUG conda.resolve:filter_group(277): conda-verify: pruned from 18 -> 12
DEBUG conda.resolve:filter_group(277): pyyaml: pruned from 42 -> 26
DEBUG conda.resolve:filter_group(277): conda-env: pruned from 74 -> 13
DEBUG conda.resolve:filter_group(277): conda-build: pruned from 586 -> 271
DEBUG conda.resolve:filter_group(277): conda: pruned from 568 -> 188
DEBUG conda.resolve:filter_group(277): requests: pruned from 101 -> 51
DEBUG conda.resolve:filter_group(277): conda: pruned from 188 -> 5
DEBUG conda.resolve:filter_group(277): conda-env: pruned from 13 -> 5
DEBUG conda.resolve:filter_group(277): pycosat: pruned from 20 -> 9
DEBUG conda.resolve:filter_group(277): pyopenssl: pruned from 27 -> 22
DEBUG conda.resolve:filter_group(277): cryptography: pruned from 49 -> 44
DEBUG conda.resolve:filter_group(277): cffi: pruned from 32 -> 31
DEBUG conda.resolve:filter_group(277): openssl: pruned from 78 -> 35
DEBUG conda.resolve:filter_group(277): requests: pruned from 51 -> 36
DEBUG conda.resolve:filter_group(277): ruamel_yaml: pruned from 88 -> 55
DEBUG conda.resolve:filter_group(277): comtypes: pruned from 31 -> 19
DEBUG conda.resolve:filter_group(277): colorama: pruned from 35 -> 13
DEBUG conda.resolve:filter_group(277): clyent: pruned from 47 -> 17
DEBUG conda.resolve:filter_group(277): chardet: pruned from 43 -> 27
DEBUG conda.resolve:filter_group(277): certifi: pruned from 81 -> 44
DEBUG conda.resolve:filter_group(277): bzip2: pruned from 25 -> 13
DEBUG conda.resolve:filter_group(277): bottleneck: pruned from 87 -> 38
DEBUG conda.resolve:filter_group(277): boto: pruned from 111 -> 20
DEBUG conda.resolve:filter_group(277): bokeh: pruned from 174 -> 63
DEBUG conda.resolve:filter_group(277): blosc: pruned from 23 -> 13
DEBUG conda.resolve:filter_group(277): bleach: pruned from 33 -> 23
DEBUG conda.resolve:filter_group(277): blaze: pruned from 73 -> 11
DEBUG conda.resolve:filter_group(277): numba: pruned from 78 -> 63
DEBUG conda.resolve:filter_group(277): llvmlite: pruned from 46 -> 43
DEBUG conda.resolve:filter_group(277): pytables: pruned from 81 -> 74
DEBUG conda.resolve:filter_group(277): numexpr: pruned from 41 -> 36
DEBUG conda.resolve:filter_group(277): bkcharts: pruned from 14 -> 9
DEBUG conda.resolve:filter_group(277): bitarray: pruned from 35 -> 18
DEBUG conda.resolve:filter_group(277): beautifulsoup4: pruned from 46 -> 28
DEBUG conda.resolve:filter_group(277): backports.shutil_get_terminal_size: pruned from 16 -> 10
DEBUG conda.resolve:filter_group(277): backports: pruned from 18 -> 12
DEBUG conda.resolve:filter_group(277): backcall: pruned from 5 -> 4
DEBUG conda.resolve:filter_group(277): attrs: pruned from 33 -> 24
DEBUG conda.resolve:filter_group(277): astropy: pruned from 290 -> 123
DEBUG conda.resolve:filter_group(277): asn1crypto: pruned from 27 -> 18
DEBUG conda.resolve:filter_group(277): anaconda-project: pruned from 30 -> 20
DEBUG conda.resolve:filter_group(277): anaconda-client: pruned from 105 -> 48
DEBUG conda.resolve:filter_group(277): anaconda-navigator: pruned from 84 -> 48
DEBUG conda.resolve:filter_group(277): anaconda: pruned from 107 -> 7
DEBUG conda.resolve:filter_group(277): scrapy: pruned from 61 -> 30
DEBUG conda.resolve:filter_group(277): cssselect: pruned from 27 -> 14
DEBUG conda.resolve:filter_group(277): parsel: pruned from 20 -> 11
DEBUG conda.resolve:filter_group(277): w3lib: pruned from 34 -> 13
DEBUG conda.resolve:filter_group(277): pydispatcher: pruned from 10 -> 6
DEBUG conda.resolve:filter_group(277): queuelib: pruned from 12 -> 5
DEBUG conda.resolve:filter_group(277): service_identity: pruned from 15 -> 9
DEBUG conda.resolve:filter_group(277): pyasn1: pruned from 57 -> 37
DEBUG conda.resolve:filter_group(277): pyasn1-modules: pruned from 24 -> 16
DEBUG conda.resolve:filter_group(277): pyasn1: pruned from 37 -> 36
DEBUG conda.resolve:filter_group(277): twisted: pruned from 80 -> 27
DEBUG conda.resolve:filter_group(277): zope.interface: pruned from 54 -> 23
DEBUG conda.resolve:filter_group(277): w3lib: pruned from 13 -> 12
DEBUG conda.resolve:filter_group(277): _ipyw_jlab_nb_ext_conf: pruned from 7 -> 5
DEBUG conda.resolve:filter_group(277): widgetsnbextension: pruned from 125 -> 82
DEBUG conda.resolve:filter_group(277): zict: pruned from 32 -> 21
DEBUG conda.resolve:filter_group(277): zeromq: pruned from 36 -> 21
DEBUG conda.resolve:filter_group(277): yaml: pruned from 17 -> 9
DEBUG conda.resolve:filter_group(277): xlwt: pruned from 25 -> 15
DEBUG conda.resolve:filter_group(277): xlwings: pruned from 80 -> 41
DEBUG conda.resolve:filter_group(277): pywin32: pruned from 38 -> 24
DEBUG conda.resolve:filter_group(277): xlsxwriter: pruned from 80 -> 43
DEBUG conda.resolve:filter_group(277): xlrd: pruned from 26 -> 15
DEBUG conda.resolve:filter_group(277): wrapt: pruned from 24 -> 16
DEBUG conda.resolve:filter_group(277): win_unicode_console: pruned from 10 -> 7
DEBUG conda.resolve:filter_group(277): win_inet_pton: pruned from 13 -> 9
DEBUG conda.resolve:filter_group(277): wincertstore: pruned from 17 -> 12
DEBUG conda.resolve:filter_group(277): webencodings: pruned from 14 -> 10
DEBUG conda.resolve:filter_group(277): urllib3: pruned from 35 -> 23
DEBUG conda.resolve:filter_group(277): unicodecsv: pruned from 13 -> 8
DEBUG conda.resolve:filter_group(277): typing: pruned from 35 -> 22
DEBUG conda.resolve:filter_group(277): tk: pruned from 32 -> 12
DEBUG conda.resolve:filter_group(277): testpath: pruned from 20 -> 14
DEBUG conda.resolve:filter_group(277): terminado: pruned from 13 -> 10
DEBUG conda.resolve:filter_group(277): pywinpty: pruned from 59 -> 45
DEBUG conda.resolve:filter_group(277): sympy: pruned from 40 -> 22
DEBUG conda.resolve:filter_group(277): statsmodels: pruned from 50 -> 22
DEBUG conda.resolve:filter_group(277): pandas: pruned from 118 -> 104
DEBUG conda.resolve:filter_group(277): patsy: pruned from 13 -> 12
DEBUG conda.resolve:filter_group(277): scipy: pruned from 91 -> 15
DEBUG conda.resolve:filter_group(277): sqlite: pruned from 58 -> 24
DEBUG conda.resolve:filter_group(277): sqlalchemy: pruned from 146 -> 81
DEBUG conda.resolve:filter_group(277): spyder: pruned from 155 -> 87
DEBUG conda.resolve:filter_group(277): qt: pruned from 56 -> 25
DEBUG conda.resolve:filter_group(277): libpng: pruned from 21 -> 20
DEBUG conda.resolve:filter_group(277): rope: pruned from 25 -> 17
DEBUG conda.resolve:filter_group(277): sphinxcontrib-websupport: pruned from 17 -> 12
DEBUG conda.resolve:filter_group(277): sphinxcontrib: pruned from 10 -> 7
DEBUG conda.resolve:filter_group(277): sortedcontainers: pruned from 44 -> 30
DEBUG conda.resolve:filter_group(277): sortedcollections: pruned from 27 -> 19
DEBUG conda.resolve:filter_group(277): snappy: pruned from 20 -> 10
DEBUG conda.resolve:filter_group(277): singledispatch: pruned from 10 -> 7
DEBUG conda.resolve:filter_group(277): simplegeneric: pruned from 16 -> 11
DEBUG conda.resolve:filter_group(277): send2trash: pruned from 9 -> 7
DEBUG conda.resolve:filter_group(277): seaborn: pruned from 38 -> 22
DEBUG conda.resolve:filter_group(277): scikit-learn: pruned from 85 -> 7
DEBUG conda.resolve:filter_group(277): scikit-image: pruned from 91 -> 43
DEBUG conda.resolve:filter_group(277): qtawesome: pruned from 23 -> 15
DEBUG conda.resolve:filter_group(277): pywavelets: pruned from 50 -> 29
DEBUG conda.resolve:filter_group(277): odo: pruned from 15 -> 14
DEBUG conda.resolve:filter_group(277): libtiff: pruned from 23 -> 20
DEBUG conda.resolve:filter_group(277): conda-build: pruned from 271 -> 232
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 91595
DEBUG conda.resolve:generate_spec_constraints(518): generate_spec_constraints returning with clause count: 91595
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 91840
DEBUG conda.core.solve:solve_final_state(333): conflicting specs:
DEBUG conda.core.solve:solve_final_state(343): final specs to add:
  - _ipyw_jlab_nb_ext_conf
  - alabaster
  - anaconda
  - anaconda-client
  - anaconda-navigator
  - anaconda-project
  - asn1crypto
  - astroid
  - astropy
  - attrs
  - babel
  - backcall
  - backports
  - backports.shutil_get_terminal_size
  - beautifulsoup4
  - bitarray
  - bkcharts
  - blas
  - blaze
  - bleach
  - blosc
  - bokeh
  - boto
  - bottleneck
  - bzip2
  - ca-certificates
  - certifi
  - cffi
  - chardet
  - click
  - cloudpickle
  - clyent
  - colorama
  - comtypes
  - conda-build
  - conda-env
  - conda-verify
  - conda[version='>=4.5.11']
  - console_shortcut
  - contextlib2
  - cryptography
  - curl
  - cycler
  - cython
  - cytoolz
  - dask
  - dask-core
  - datashape
  - decorator
  - distributed
  - docutils
  - entrypoints
  - et_xmlfile
  - fastcache
  - filelock
  - flask
  - flask-cors
  - freetype
  - get_terminal_size
  - gevent
  - glob2
  - greenlet
  - h5py
  - hdf5
  - heapdict
  - html5lib
  - icc_rt
  - icu
  - idna
  - imageio
  - imagesize
  - intel-openmp
  - ipykernel
  - ipython
  - ipython_genutils
  - ipywidgets
  - isort
  - itsdangerous
  - jdcal
  - jedi
  - jinja2
  - jpeg
  - jsonschema
  - jupyter
  - jupyter_client
  - jupyter_console
  - jupyter_core
  - jupyterlab
  - jupyterlab_launcher
  - kiwisolver
  - lazy-object-proxy
  - libcurl
  - libiconv
  - libpng
  - libsodium
  - libssh2
  - libtiff
  - libxml2
  - libxslt
  - llvmlite
  - locket
  - lxml
  - lzo
  - m2w64-gcc-libgfortran
  - m2w64-gcc-libs
  - m2w64-gcc-libs-core
  - m2w64-gmp
  - m2w64-libwinpthread-git
  - markupsafe
  - matplotlib
  - mccabe
  - menuinst
  - mistune
  - mkl
  - mkl-service
  - mkl_fft
  - mkl_random
  - more-itertools
  - mpmath
  - msgpack-python
  - msys2-conda-epoch
  - multipledispatch
  - navigator-updater
  - nbconvert
  - nbformat
  - networkx
  - nltk
  - nose
  - notebook
  - numba
  - numexpr
  - numpy
  - numpy-base
  - numpydoc
  - odo
  - olefile
  - openpyxl
  - openssl
  - packaging
  - pandas
  - pandoc
  - pandocfilters
  - parso
  - partd
  - path.py
  - pathlib2
  - patsy
  - pep8
  - pickleshare
  - pillow
  - pip
  - pkginfo
  - pluggy
  - ply
  - prompt_toolkit
  - psutil
  - py
  - pycodestyle
  - pycosat
  - pycparser
  - pycrypto
  - pycurl
  - pyflakes
  - pygments
  - pylint
  - pyodbc
  - pyopenssl
  - pyparsing
  - pyqt
  - pysocks
  - pytables
  - pytest
  - pytest-arraydiff
  - pytest-astropy
  - pytest-doctestplus
  - pytest-openfiles
  - pytest-remotedata
  - python-dateutil
  - python=3
  - pytz
  - pywavelets
  - pywin32
  - pywinpty
  - pyyaml
  - pyzmq
  - qt
  - qtawesome
  - qtconsole
  - qtpy
  - requests
  - rope
  - ruamel_yaml
  - scikit-image
  - scikit-learn
  - scipy
  - scrapy
  - seaborn
  - send2trash
  - setuptools
  - simplegeneric
  - singledispatch
  - sip
  - six
  - snappy
  - snowballstemmer
  - sortedcollections
  - sortedcontainers
  - sphinx
  - sphinxcontrib
  - sphinxcontrib-websupport
  - spyder
  - sqlalchemy
  - sqlite
  - statsmodels
  - sympy
  - tblib
  - terminado
  - testpath
  - tk
  - toolz
  - tornado
  - traitlets
  - typing
  - unicodecsv
  - urllib3
  - vc
  - vs2015_runtime
  - wcwidth
  - webencodings
  - werkzeug
  - wheel
  - widgetsnbextension
  - win_inet_pton
  - win_unicode_console
  - wincertstore
  - winpty
  - wrapt
  - xlrd
  - xlsxwriter
  - xlwings
  - xlwt
  - yaml
  - zeromq
  - zict
  - zlib
DEBUG conda.resolve:solve(838): Solving for:
  - _ipyw_jlab_nb_ext_conf
  - alabaster
  - anaconda
  - anaconda-client
  - anaconda-navigator
  - anaconda-project
  - asn1crypto
  - astroid
  - astropy
  - attrs
  - babel
  - backcall
  - backports
  - backports.shutil_get_terminal_size
  - beautifulsoup4
  - bitarray
  - bkcharts
  - blas
  - blaze
  - bleach
  - blosc
  - bokeh
  - boto
  - bottleneck
  - bzip2
  - ca-certificates
  - certifi
  - cffi
  - chardet
  - click
  - cloudpickle
  - clyent
  - colorama
  - comtypes
  - conda-build
  - conda-env
  - conda-verify
  - conda[version='>=4.5.11']
  - console_shortcut
  - contextlib2
  - cryptography
  - curl
  - cycler
  - cython
  - cytoolz
  - dask
  - dask-core
  - datashape
  - decorator
  - distributed
  - docutils
  - entrypoints
  - et_xmlfile
  - fastcache
  - filelock
  - flask
  - flask-cors
  - freetype
  - get_terminal_size
  - gevent
  - glob2
  - greenlet
  - h5py
  - hdf5
  - heapdict
  - html5lib
  - icc_rt
  - icu
  - idna
  - imageio
  - imagesize
  - intel-openmp
  - ipykernel
  - ipython
  - ipython_genutils
  - ipywidgets
  - isort
  - itsdangerous
  - jdcal
  - jedi
  - jinja2
  - jpeg
  - jsonschema
  - jupyter
  - jupyter_client
  - jupyter_console
  - jupyter_core
  - jupyterlab
  - jupyterlab_launcher
  - kiwisolver
  - lazy-object-proxy
  - libcurl
  - libiconv
  - libpng
  - libsodium
  - libssh2
  - libtiff
  - libxml2
  - libxslt
  - llvmlite
  - locket
  - lxml
  - lzo
  - m2w64-gcc-libgfortran
  - m2w64-gcc-libs
  - m2w64-gcc-libs-core
  - m2w64-gmp
  - m2w64-libwinpthread-git
  - markupsafe
  - matplotlib
  - mccabe
  - menuinst
  - mistune
  - mkl
  - mkl-service
  - mkl_fft
  - mkl_random
  - more-itertools
  - mpmath
  - msgpack-python
  - msys2-conda-epoch
  - multipledispatch
  - navigator-updater
  - nbconvert
  - nbformat
  - networkx
  - nltk
  - nose
  - notebook
  - numba
  - numexpr
  - numpy
  - numpy-base
  - numpydoc
  - odo
  - olefile
  - openpyxl
  - openssl
  - packaging
  - pandas
  - pandoc
  - pandocfilters
  - parso
  - partd
  - path.py
  - pathlib2
  - patsy
  - pep8
  - pickleshare
  - pillow
  - pip
  - pkginfo
  - pluggy
  - ply
  - prompt_toolkit
  - psutil
  - py
  - pycodestyle
  - pycosat
  - pycparser
  - pycrypto
  - pycurl
  - pyflakes
  - pygments
  - pylint
  - pyodbc
  - pyopenssl
  - pyparsing
  - pyqt
  - pysocks
  - pytables
  - pytest
  - pytest-arraydiff
  - pytest-astropy
  - pytest-doctestplus
  - pytest-openfiles
  - pytest-remotedata
  - python-dateutil
  - python=3
  - pytz
  - pywavelets
  - pywin32
  - pywinpty
  - pyyaml
  - pyzmq
  - qt
  - qtawesome
  - qtconsole
  - qtpy
  - requests
  - rope
  - ruamel_yaml
  - scikit-image
  - scikit-learn
  - scipy
  - scrapy
  - seaborn
  - send2trash
  - setuptools
  - simplegeneric
  - singledispatch
  - sip
  - six
  - snappy
  - snowballstemmer
  - sortedcollections
  - sortedcontainers
  - sphinx
  - sphinxcontrib
  - sphinxcontrib-websupport
  - spyder
  - sqlalchemy
  - sqlite
  - statsmodels
  - sympy
  - tblib
  - terminado
  - testpath
  - tk
  - toolz
  - tornado
  - traitlets
  - typing
  - unicodecsv
  - urllib3
  - vc
  - vs2015_runtime
  - wcwidth
  - webencodings
  - werkzeug
  - wheel
  - widgetsnbextension
  - win_inet_pton
  - win_unicode_console
  - wincertstore
  - winpty
  - wrapt
  - xlrd
  - xlsxwriter
  - xlwings
  - xlwt
  - yaml
  - zeromq
  - zict
  - zlib
DEBUG conda.resolve:gen_clauses(513): gen_clauses returning with clause count: 91595
DEBUG conda.resolve:generate_spec_constraints(518): generate_spec_constraints returning with clause count: 91595
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 91840
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 91899
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 92005
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.resolve:solve(884): Initial package channel/version metric: 0/0
DEBUG conda.resolve:generate_feature_count(524): generate_feature_count returning with clause count: 92005
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 92010
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(889): Track feature count: 0
DEBUG conda.common.logic:minimize(468): Clauses added, recomputing solution
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 93033
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 93374
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(901): Package misfeature count: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 93389
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.resolve:solve(905): Initial package build metric: 0
DEBUG conda.common.logic:minimize(474): Empty objective, trivial solution
DEBUG conda.resolve:solve(911): Optional package install metric: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 93629
DEBUG conda.common.logic:minimize(546): Final sum objective: 0
DEBUG conda.resolve:solve(916): Dependency update count: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 97768
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 103905
DEBUG conda.common.logic:minimize(546): Final peak objective: 
10000
0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 105083
DEBUG conda.common.logic:minimize(546): Final peak objective: 0
DEBUG conda.resolve:solve(924): Additional package channel/version/build metrics: 0/0/0
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 106854
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 105570
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 105205
DEBUG conda.common.logic:minimize(546): Final peak objective: 2
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 134842
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 126077
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 129916
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 134841
DEBUG conda.common.logic:minimize(546): Final sum objective: 6
DEBUG conda.common.logic:minimize(558): New peak objective: 2
DEBUG conda.resolve:solve(929): Timestamp metric: 6
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 138308
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 138529
DEBUG conda.common.logic:minimize(546): Final sum objective: 17
DEBUG conda.common.logic:minimize(558): New peak objective: 1
DEBUG conda.resolve:solve(934): Weak dependency count: 17
DEBUG conda.resolve:solve(939): Looking for alternate solutions
DEBUG conda.common.logic:sat(435): Invoking SAT with clause count: 138530
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'appdirs' -> 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'automat' -> 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'conda' -> 'constantly' -> 'cssselect' -> 'hyperlink' -> 'incremental' -> 'pyasn1' -> 'pyasn1-modules' -> 'pydispatcher' -> 'pyhamcrest' -> 'pytest-runner' -> 'scrapy' -> 'service_identity' -> 'twisted' -> 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'parsel' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.core.solve:solve_final_state(420): solved prefix C:\Users\Abhinav\Anaconda3
  solved_linked_dists:
    defaults::blas-1.0-mkl
    conda-forge::ca-certificates-2018.8.24-ha4d7672_0
    defaults::conda-env-2.6.0-h36134e3_1
    defaults::icc_rt-2017.0.4-h97af966_0
    defaults::intel-openmp-2018.0.0-8
    defaults::msys2-conda-epoch-20160418-1
    defaults::pandoc-1.19.2.1-hb2460c7_1
    defaults::vs2015_runtime-15.5.2-3
    defaults::winpty-0.4.3-4
    defaults::m2w64-gmp-6.1.0-2
    defaults::m2w64-libwinpthread-git-5.0.0.4634.697f757-2
    defaults::mkl-2018.0.2-1
    defaults::vc-14.1-h21ff451_3
    defaults::bzip2-1.0.6-hfa6e2cd_5
    defaults::icu-58.2-ha66f8fd_1
    defaults::jpeg-9b-hb83a4c4_2
    defaults::libiconv-1.15-h1df5818_7
    defaults::libsodium-1.0.16-h9d3ae62_0
    defaults::lzo-2.10-h6df0209_2
    defaults::m2w64-gcc-libs-core-5.3.0-7
    conda-forge::openssl-1.0.2p-hfa6e2cd_0
    defaults::python-3.6.5-h0c2934d_0
    defaults::snappy-1.1.7-h777316e_3
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    defaults::freetype-2.8-h51f8f2c_1
    defaults::html5lib-1.0.1-py36h047fa9f_0
    defaults::jedi-0.12.0-py36_1
    defaults::libcurl-7.60.0-hc4dcbb0_0
    defaults::libxslt-1.1.32-hf6f1972_0
    defaults::m2w64-gcc-libs-5.3.0-7
    defaults::menuinst-1.4.14-py36hfa6e2cd_0
    defaults::more-itertools-4.1.0-py36_0
    defaults::networkx-2.1-py36_0
    defaults::nltk-3.3.0-py36_0
    defaults::openpyxl-2.5.3-py36_0
    defaults::packaging-17.1-py36_0
    defaults::partd-0.3.8-py36hc8e763b_0
    defaults::pathlib2-2.3.2-py36_0
    defaults::pysocks-1.6.8-py36_0
    defaults::python-dateutil-2.7.3-py36_0
    defaults::pyzmq-17.0.0-py36hfa6e2cd_1
    defaults::qt-5.9.5-vc14he4a7d60_0
    defaults::qtawesome-0.4.4-py36h5aa48f6_0
    defaults::setuptools-39.1.0-py36_0
    defaults::singledispatch-3.4.0.3-py36h17d0c80_0
    defaults::sortedcollections-0.6.1-py36_0
    defaults::sphinxcontrib-websupport-1.0.1-py36hb5e5916_1
    defaults::sympy-1.1.1-py36h96708e0_0
    defaults::traitlets-4.3.2-py36h096827d_0
    defaults::w3lib-1.19.0-py36_0
    defaults::xlwings-0.11.8-py36_0
    defaults::zict-0.1.3-py36h2d8e73e_0
    defaults::astroid-1.6.3-py36_0
    defaults::bleach-2.1.3-py36_0
    defaults::clyent-1.2.2-py36hb10d595_1
    defaults::cryptography-2.2.2-py36hfa6e2cd_0
    defaults::curl-7.60.0-h7602738_0
    defaults::cython-0.28.2-py36hfa6e2cd_0
    defaults::distributed-1.21.8-py36_0
    defaults::get_terminal_size-1.0.0-h38e98db_0
    defaults::gevent-1.3.0-py36hfa6e2cd_0
    defaults::isort-4.3.4-py36_0
    defaults::jinja2-2.10-py36h292fed1_0
    defaults::jsonschema-2.6.0-py36h7636477_0
    defaults::jupyter_core-4.4.0-py36h56e9d50_0
    defaults::lxml-4.2.1-py36heafd4d3_0
    defaults::nose-1.3.7-py36h1c3779e_2
    defaults::pillow-5.1.0-py36h0738816_0
    defaults::pyflakes-1.6.0-py36h0b975d6_0
    defaults::pygments-2.2.0-py36hb010967_0
    defaults::pyqt-5.9.2-py36h1aa27d4_0
    defaults::pytest-3.5.1-py36_0
    defaults::pywinpty-0.5.1-py36_0
    defaults::wheel-0.31.1-py36_0
    defaults::flask-1.0.2-py36_1
    defaults::jupyter_client-5.2.3-py36_0
    defaults::navigator-updater-0.2.1-py36_0
    defaults::nbformat-4.4.0-py36h3a5bc1b_0
    defaults::pip-10.0.1-py36_0
    defaults::prompt_toolkit-1.0.15-py36h60b8f86_0
    defaults::pycurl-7.43.0.1-py36h74b6da3_0
    defaults::pylint-1.8.4-py36_0
    defaults::pyopenssl-18.0.0-py36_0
    defaults::pytest-openfiles-0.3.0-py36_0
    defaults::pytest-remotedata-0.2.1-py36_0
    defaults::terminado-0.8.1-py36_1
    defaults::flask-cors-3.0.4-py36_0
    defaults::ipython-6.4.0-py36_0
    defaults::nbconvert-5.3.1-py36h8dc0fde_0
    defaults::urllib3-1.22-py36h276f60a_0
    defaults::ipykernel-4.8.2-py36_0
    defaults::requests-2.18.4-py36h4371aae_1
    defaults::anaconda-client-1.6.14-py36_0
    defaults::jupyter_console-5.2.0-py36h6d89b47_1
    defaults::notebook-5.5.0-py36_0
    defaults::qtconsole-4.3.1-py36h99a29a9_0
    defaults::sphinx-1.7.4-py36_0
    defaults::anaconda-navigator-1.8.7-py36_0
    defaults::anaconda-project-0.8.2-py36hfad2e28_0
    defaults::jupyterlab_launcher-0.10.5-py36_0
    defaults::numpydoc-0.8.0-py36_0
    defaults::widgetsnbextension-3.2.1-py36_0
    defaults::ipywidgets-7.2.1-py36_0
    defaults::jupyterlab-0.32.1-py36_0
    defaults::spyder-3.2.8-py36_0
    defaults::_ipyw_jlab_nb_ext_conf-0.1.0-py36he6757f0_0
    defaults::jupyter-1.0.0-py36_4
    conda-forge::appdirs-1.4.3-py_1
    conda-forge::automat-0.7.0-py_1
    defaults::bokeh-0.12.16-py36_0
    defaults::bottleneck-1.2.1-py36hd119dfa_0
    conda-forge::conda-4.5.11-py36_0
    defaults::conda-build-3.10.5-py36_0
    conda-forge::constantly-15.1.0-py_0
    conda-forge::cssselect-1.0.3-py_0
    conda-forge::hyperlink-17.3.1-py_0
    conda-forge::incremental-17.5.0-py_0
    conda-forge::pyasn1-0.4.4-py_0
    conda-forge::pydispatcher-2.0.5-py_1
    conda-forge::pyhamcrest-1.9.0-py_2
    conda-forge::pytest-runner-4.2-py_1
    defaults::parsel-1.5.0-py36_0
    conda-forge::pyasn1-modules-0.2.1-py_0
    conda-forge::service_identity-17.0.0-py_0
    conda-forge::twisted-18.7.0-py36hfa6e2cd_1
    conda-forge::scrapy-1.5.1-py36_0
    defaults::datashape-0.5.4-py36h5770b85_0
    defaults::h5py-2.7.1-py36h3bdd7fb_2
    defaults::imageio-2.3.0-py36_0
    defaults::matplotlib-2.2.2-py36h153e9ff_1
    defaults::mkl_fft-1.0.1-py36h452e1ab_0
    defaults::mkl_random-1.0.1-py36h9258bd6_0
    defaults::numpy-1.14.3-py36h9fa60d3_1
    defaults::numba-0.38.0-py36h830ac7b_0
    defaults::numexpr-2.6.5-py36hcd2f87e_0
    defaults::pandas-0.23.0-py36h830ac7b_0
    defaults::pytest-arraydiff-0.2-py36_0
    defaults::pytest-doctestplus-0.1.3-py36_0
    defaults::pywavelets-0.5.2-py36hc649158_0
    defaults::scipy-1.1.0-py36h672f292_0
    defaults::bkcharts-0.2-py36h7e685f7_0
    defaults::dask-0.17.5-py36_0
    defaults::patsy-0.5.0-py36_0
    defaults::pytables-3.4.3-py36he6f6034_1
    defaults::pytest-astropy-0.3.0-py36_0
    defaults::scikit-learn-0.19.1-py36h53aea1b_0
    defaults::astropy-3.0.2-py36h452e1ab_1
    defaults::odo-0.5.1-py36h7560279_0
    defaults::scikit-image-0.13.1-py36hfa6e2cd_1
    defaults::statsmodels-0.9.0-py36h452e1ab_0
    defaults::blaze-0.11.3-py36h8a29ca5_0
    defaults::seaborn-0.8.1-py36h9b69545_0

DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'bokeh' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'bottleneck' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'conda' -> 'conda-build' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'datashape' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'h5py' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'imageio' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'matplotlib' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_fft' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
DEBUG conda.common.toposort:_safe_toposort(80): Cyclic dependencies exist among these items: 'astropy' -> 'bkcharts' -> 'blaze' -> 'dask' -> 'mkl_random' -> 'numba' -> 'numexpr' -> 'numpy' -> 'odo' -> 'pandas' -> 'patsy' -> 'pytables' -> 'pytest-arraydiff' -> 'pytest-astropy' -> 'pytest-doctestplus' -> 'pywavelets' -> 'scikit-image' -> 'scikit-learn' -> 'scipy' -> 'seaborn' -> 'statsmodels'
done
DEBUG conda.core.link:__init__(156): instantiating UnlinkLinkTransaction with
  target_prefix: C:\Users\Abhinav\Anaconda3
  unlink_precs:
    defaults::conda-4.5.11-py36_0
    defaults::certifi-2018.8.24-py36_1
    defaults::openssl-1.0.2p-hfa6e2cd_0
    defaults::ca-certificates-2018.03.07-0
  link_precs:
    conda-forge::ca-certificates-2018.8.24-ha4d7672_0
    conda-forge::openssl-1.0.2p-hfa6e2cd_0
    conda-forge::certifi-2018.8.24-py36_0
    defaults::queuelib-1.5.0-py36_0
    conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1
    defaults::w3lib-1.19.0-py36_0
    conda-forge::appdirs-1.4.3-py_1
    conda-forge::automat-0.7.0-py_1
    conda-forge::conda-4.5.11-py36_0
    conda-forge::constantly-15.1.0-py_0
    conda-forge::cssselect-1.0.3-py_0
    conda-forge::hyperlink-17.3.1-py_0
    conda-forge::incremental-17.5.0-py_0
    conda-forge::pyasn1-0.4.4-py_0
    conda-forge::pydispatcher-2.0.5-py_1
    conda-forge::pyhamcrest-1.9.0-py_2
    conda-forge::pytest-runner-4.2-py_1
    defaults::parsel-1.5.0-py36_0
    conda-forge::pyasn1-modules-0.2.1-py_0
    conda-forge::service_identity-17.0.0-py_0
    conda-forge::twisted-18.7.0-py36hfa6e2cd_1
    conda-forge::scrapy-1.5.1-py36_0

DEBUG conda.core.package_cache_data:__init__(549): instantiating ProgressiveFetchExtract with
  conda-forge::automat-0.7.0-py_1
  conda-forge::cssselect-1.0.3-py_0
  conda-forge::certifi-2018.8.24-py36_0
  conda-forge::hyperlink-17.3.1-py_0
  conda-forge::constantly-15.1.0-py_0
  conda-forge::pytest-runner-4.2-py_1
  conda-forge::pyasn1-modules-0.2.1-py_0
  conda-forge::appdirs-1.4.3-py_1
  conda-forge::pydispatcher-2.0.5-py_1
  conda-forge::scrapy-1.5.1-py36_0
  conda-forge::ca-certificates-2018.8.24-ha4d7672_0
  conda-forge::service_identity-17.0.0-py_0
  conda-forge::conda-4.5.11-py36_0
  defaults::queuelib-1.5.0-py36_0
  conda-forge::twisted-18.7.0-py36hfa6e2cd_1
  conda-forge::incremental-17.5.0-py_0
  conda-forge::pyhamcrest-1.9.0-py_2
  defaults::parsel-1.5.0-py36_0
  defaults::w3lib-1.19.0-py36_0
  conda-forge::openssl-1.0.2p-hfa6e2cd_0
  conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1
  conda-forge::pyasn1-0.4.4-py_0

DEBUG conda.core.package_cache_data:_check_writable(237): package cache directory 'C:\Users\Abhinav\Anaconda3\pkgs' writable: True

## Package Plan ##

  environment location: C:\Users\Abhinav\Anaconda3

  added / updated specs:
    - scrapy


The following NEW packages will be INSTALLED:

    appdirs:          1.4.3-py_1            conda-forge
    automat:          0.7.0-py_1            conda-forge
    constantly:       15.1.0-py_0           conda-forge
    cssselect:        1.0.3-py_0            conda-forge
    hyperlink:        17.3.1-py_0           conda-forge
    incremental:      17.5.0-py_0           conda-forge
    parsel:           1.5.0-py36_0
    pyasn1:           0.4.4-py_0            conda-forge
    pyasn1-modules:   0.2.1-py_0            conda-forge
    pydispatcher:     2.0.5-py_1            conda-forge
    pyhamcrest:       1.9.0-py_2            conda-forge
    pytest-runner:    4.2-py_1              conda-forge
    queuelib:         1.5.0-py36_0
    scrapy:           1.5.1-py36_0          conda-forge
    service_identity: 17.0.0-py_0           conda-forge
    twisted:          18.7.0-py36hfa6e2cd_1 conda-forge
    w3lib:            1.19.0-py36_0
    zope.interface:   4.5.0-py36hfa6e2cd_1  conda-forge

The following packages will be UPDATED:

    ca-certificates:  2018.03.07-0                      --> 2018.8.24-ha4d7672_0 conda-forge
    conda:            4.5.11-py36_0                     --> 4.5.11-py36_0        conda-forge
    openssl:          1.0.2p-hfa6e2cd_0                 --> 1.0.2p-hfa6e2cd_0    conda-forge

The following packages will be DOWNGRADED:

    certifi:          2018.8.24-py36_1                  --> 2018.8.24-py36_0     conda-forge

Proceed ([y]/n)? y

Preparing transaction: ...working... DEBUG conda.core.link:_get_python_version(630): found in current prefix python version 3.6
done
Verifying transaction: ...working... done
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGABRT
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGINT
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGTERM
DEBUG conda.common.signals:signal_handler(43): registering handler for SIGBREAK
Executing transaction: ...working... INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::conda-4.5.11-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::certifi-2018.8.24-py36_1 <===
  prefix=C:\Users\Abhinav\Anaconda3

INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::openssl-1.0.2p-hfa6e2cd_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

INFO conda.core.link:_execute_actions(542): ===> UNLINKING PACKAGE: defaults::ca-certificates-2018.03.07-0 <===
  prefix=C:\Users\Abhinav\Anaconda3

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::ca-certificates-2018.8.24-ha4d7672_0 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\ca-certificates-2018.8.24-ha4d7672_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::openssl-1.0.2p-hfa6e2cd_0 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\openssl-1.0.2p-hfa6e2cd_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::certifi-2018.8.24-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\certifi-2018.8.24-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: defaults::queuelib-1.5.0-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\queuelib-1.5.0-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\zope.interface-4.5.0-py36hfa6e2cd_1

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: defaults::w3lib-1.19.0-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\w3lib-1.19.0-py36_0

INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::appdirs-1.4.3-py_1 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\appdirs-1.4.3-py_1

DEBUG conda.gateways.subprocess:subprocess_call(46): executing>> "C:\Users\Abhinav\Anaconda3\python.exe" -Wi -m py_compile "C:\Users\Abhinav\Anaconda3\Lib\site-packages\appdirs.py"
INFO conda.core.link:_execute_actions(548): ===> LINKING PACKAGE: conda-forge::automat-0.7.0-py_1 <===
  prefix=C:\Users\Abhinav\Anaconda3
  source=C:\Users\Abhinav\Anaconda3\pkgs\automat-0.7.0-py_1

DEBUG conda.core.link:_execute_actions(562): Error in action #22 for pkg_idx #12 LinkPathAction(target_prefix='C:\\Users\\Abhinav\\Anaconda3', target_short_path='Scripts/automat-visualize.exe', source_prefix='C:\\Users\\Abhinav\\Anaconda3', source_short_path='Scripts/conda.exe', link_type=<LinkType.hardlink: 1>, _execute_successful=False, source_path_data=PathDataV1(_path='Scripts/automat-visualize.exe', path_type='windows_python_entry_point_exe'), prefix_path_data=PathDataV1(_path='Scripts/automat-visualize.exe', path_type='windows_python_entry_point_exe'), _verified=True)
Traceback (most recent call last):
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 556, in _execute_actions
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\path_actions.py", line 343, in execute
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\gateways\disk\create.py", line 309, in create_link
conda.CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::automat-0.7.0-py_1 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #12 from axn_idx #22
failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.

Rolling back transaction: ...working... INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::appdirs-1.4.3-py_1 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #11 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: defaults::w3lib-1.19.0-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #10 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::zope.interface-4.5.0-py36hfa6e2cd_1 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #9 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: defaults::queuelib-1.5.0-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #8 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::certifi-2018.8.24-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #7 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::openssl-1.0.2p-hfa6e2cd_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #6 from axn_idx #-1
INFO conda.core.link:_reverse_actions(590): ===> REVERSING PACKAGE LINK: conda-forge::ca-certificates-2018.8.24-ha4d7672_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #5 from axn_idx #-1
DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #4 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::ca-certificates-2018.03.07-0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #3 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::openssl-1.0.2p-hfa6e2cd_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #2 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::certifi-2018.8.24-py36_1 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #1 from axn_idx #-1
INFO conda.core.link:_reverse_actions(586): ===> REVERSING PACKAGE UNLINK: defaults::conda-4.5.11-py36_0 <===
  prefix=C:\Users\Abhinav\Anaconda3

DEBUG conda.core.link:_reverse_actions(592): reversing pkg_idx #0 from axn_idx #-1
done
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGABRT
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGINT
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGTERM
DEBUG conda.common.signals:signal_handler(56): de-registering handler for Signals.SIGBREAK
Traceback (most recent call last):
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 556, in _execute_actions
    action.execute()
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\path_actions.py", line 343, in execute
    force=context.force)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\gateways\disk\create.py", line 309, in create_link
    "Running `conda clean --packages` may resolve your problem." % src)
conda.CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 493, in _execute
    cls._execute_actions(pkg_idx, axngroup)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 574, in _execute_actions
    reverse_excs,
conda.CondaMultiError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\exceptions.py", line 819, in __call__
    return func(*args, **kwargs)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\cli\main.py", line 78, in _main
    exit_code = do_call(args, p)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\cli\conda_argparse.py", line 77, in do_call
    exit_code = getattr(module, func_name)(args, parser)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\cli\main_install.py", line 11, in execute
    install(args, parser, 'install')
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\cli\install.py", line 253, in install
    handle_txn(unlink_link_transaction, prefix, args, newenv)
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\cli\install.py", line 282, in handle_txn
    unlink_link_transaction.execute()
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 228, in execute
    self._execute(tuple(concat(interleave(itervalues(self.prefix_action_groups)))))
  File "C:\Users\Abhinav\Anaconda3\lib\site-packages\conda\core\link.py", line 521, in _execute
    rollback_excs,
conda.CondaMultiError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

@abhinavankur
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Author
abhinavankur commented Sep 2, 2018

@kalefranz Doing this conda config --set pinned_packages defaults::conda returned this.

(base) C:\Users\Abhinav>conda config --set pinned_packages defaults::conda

CondaValueError: Key 'pinned_packages' is not a known primitive parameter.

@abhinavankur
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Author

@mbargull You mentioned this in your comment: "@abhinavankur and @robjane , until gh-7115is fixed, running a conda update -n base conda before installing anything else to base will probably workaround your issue."

Is there a command which will revert my base environment to the way it was before I installed anything or do I have to reinstall anaconda to run this command effectively? Right now, with all the packages installed it is failing again by outputting essentially the same thing.

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.

Rolling back transaction: done

CondaError: Cannot link a source that does not exist. C:\Users\Abhinav\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

@Sghibiri 10000
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Sghibiri commented Sep 4, 2018

Hello, i am new to Anaconda and i also having the same problem when installing Scrapy.

I tried:
a. conda update -n base conda
b. conda update anaconda
b. conda clean --packages
c. conda clean --all --yes
d. Re-install Anaconda
d. --set pinned_packages defaults::conda and get the error "CondaValueError: Key 'pinned_packages' is not a known primitive parameter."

nothing works, could you please help?

Thanks a lot!

@kalefranz
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Contributor

My apologies. The correct command is

conda config --add pinned_packages defaults::conda

pinned_packages is a list parameter, and therefore you need to use --add rather than --set

@mbargull
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mbargull commented Sep 4, 2018

It is

conda config --add pinned_packages defaults::conda

instead of --set since pinned_packages is a sequence parameter and thus need to be changed with --add/--remove.
You should use that if you have conda from defaults instead of conda-forge and want to make sure it stays that way. If you know what you are doing and want a conda-forge-based base environment, you can run conda config --system --prepend channels conda-forge && conda update -n base conda to get conda from conda-forge.

But generally, I'd advice you to not install things into your base environment with -c conda-forge unless conda-forge is configured as the channel with highest priority anyway. The reason is that with -c conda-forge you temporarily make conda-forge the highest priority channel and thus possibly force some packages, in this case conda itself, to be pulled from that channel. If you really want a to install a conda-forge package into base, you should rather run conda install conda-forge::that-package-you-want which will use conda-forge only as a low priority channel

@mbargull
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mbargull commented Sep 4, 2018

Moreover I'd encourage you to explore the beauty of using separate Conda environments: That way you can avoid many issues and leave the base environment to conda etc. alone and use whatever channel you want in your different environments :).

@Sghibiri
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Sghibiri commented Sep 5, 2018

Thanks a lot mbargull and kalefranz!!! I finally managed to install it...on windows, linux + created a separate environment on ubuntu...hopefully i'll understand better what i am doing :)

@keith555
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keith555 commented Sep 6, 2018

Mr Google brought me here, too. I have the problem and unfortunately conda config --add pinned_packages defaults::conda didn't fix it.

@keith555
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keith555 commented Sep 6, 2018

I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

@top19013
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I had the same problem, but the
conda config --add pinned_packages defaults::conda
solution worked for me.

I also ran
conda install -c conda-forge scrapy -vv
before using the given solution and saved the output in a text file if you need another copy in addition to @abhinavankur's output. Thanks for the solution.

@felix0913
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I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

Thanks a lot. The solution worked for me.

@kathegaara
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I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

This solution worked for me too.

@dev-aswin
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dev-aswin commented Sep 26, 2018

I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

This solution worked for me. Thank you.

@ArMen56k
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I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

This solution worked for me. Thank you.

+1

@noobida
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noobida commented Oct 3, 2018

conda update -n base conda

Hi @mbargull, I am facing the same problem and was following the advice until your recommendation to run the following code conda update -n base conda

When I ran the above code, I ran into the following error:

CondaEnvironmentNotFoundError: Could not find environment: base .
You can list all discoverable environments with `conda info --envs`.

Kindly advise, thank you!

@mbargull
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mbargull commented Oct 3, 2018

@noobida, you are likely running an old version, i.e., conda <=4.3, in which the base environment is still called root. Use conda update -n root conda instead. (After you updated to conda >=4.4, you can and should use conda update -n base conda for new updates.)

@bhargavimahesh
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bhargavimahesh commented Oct 3, 2018

I have been trying to fix this error but haven't been able to do so. It would be great if one could advise.
Here's some history:

I was working on keras in anaconda environment with python 3.5 and import statement started breaking few days ago. I reinstalled keras, tensorflow but did not work. So I reinstalled anaconda3. I have also tried conda config --add pinned_packages defaults::conda, conda update -c conda-forge conda , and conda install -c conda-forge automat and all the requirements are satisfied. I have cleaned the packages as well. But I am not sure what the source of this error is.
Upon running conda install -c conda-forge tensorflow with temporary admin privilege,

...
seaborn-0.9.0        | 159 KB    | #################################### | 100%
tblib-1.3.2          | 11 KB     | #################################### | 100%
werkzeug-0.14.1      | 249 KB    | #################################### | 100%
cryptography-2.3.1   | 508 KB    | #################################### | 100%
pytest-3.8.1         | 338 KB    | #################################### | 100%
boto-2.49.0          | 1.6 MB    | #################################### | 100%
llvmlite-0.24.0      | 11.5 MB   | #################################### | 100%
locket-0.2.0         | 6 KB      | #################################### | 100%
matplotlib-2.2.2     | 6.5 MB    | #################################### | 100%
packaging-18.0       | 19 KB     | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: / DEBUG menuinst_win32:__init__(196): Menu: name: 'Anacon
da${PY_VER} ${PLATFORM}', prefix: 'C:\Users\mahesh98\AppData\Local\Continuum\ana
conda3_new', env_name: 'None', mode: 'user', used_mode: 'user'
DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\mahesh98\AppData\Loca
l\Continuum\anaconda3_new\pythonw.exe, args are ['C:\\Users\\mahesh98\\AppData\\
Local\\Continuum\\anaconda3_new\\cwp.py', 'C:\\Users\\mahesh98\\AppData\\Local\\
Continuum\\anaconda3_new', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anac
onda3_new\\pythonw.exe', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anacon
da3_new\\Scripts\\spyder-script.py']
DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\mahesh98\AppData\Loca
l\Continuum\anaconda3_new\python.exe, args are ['C:\\Users\\mahesh98\\AppData\\L
ocal\\Continuum\\anaconda3_new\\cwp.py', 'C:\\Users\\mahesh98\\AppData\\Local\\C
ontinuum\\anaconda3_new', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anaco
nda3_new\\python.exe', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anaconda
3_new\\Scripts\\spyder-script.py', '--reset']
- DEBUG menuinst_win32:__init__(196): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}
', prefix: 'C:\Users\mahesh98\AppData\Local\Continuum\anaconda3_new', env_name:
'None', mode: 'user', used_mode: 'user'
DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\mahesh98\AppData\Loca
l\Continuum\anaconda3_new\python.exe, args are ['C:\\Users\\mahesh98\\AppData\\L
ocal\\Continuum\\anaconda3_new\\cwp.py', 'C:\\Users\\mahesh98\\AppData\\Local\\C
ontinuum\\anaconda3_new', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anaco
nda3_new\\python.exe', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anaconda
3_new\\Scripts\\jupyter-notebook-script.py', '%USERPROFILE%']
- DEBUG menuinst_win32:__init__(196): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}
', prefix: 'C:\Users\mahesh98\AppData\Local\Continuum\anaconda3_new', env_name:
'None', mode: 'user', used_mode: 'user'
DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\mahesh98\AppData\Loca
l\Continuum\anaconda3_new\pythonw.exe, args are ['C:\\Users\\mahesh98\\AppData\\
Local\\Continuum\\anaconda3_new\\cwp.py', 'C:\\Users\\mahesh98\\AppData\\Local\\
Continuum\\anaconda3_new', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anac
onda3_new\\pythonw.exe', 'C:\\Users\\mahesh98\\AppData\\Local\\Continuum\\anacon
da3_new\\Scripts\\anaconda-navigator-script.py']
failed
ERROR conda.core.link:_execute(502): An error occurred while installing package
'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\mahesh98\AppData\
Local\Continuum\anaconda3_new\Scripts\conda.exe
Running conda clean --packages may resolve your problem.
Attempting to roll back.

Rolling back transaction: done

CondaError: Cannot link a source that does not exist. C:\Users\mahesh98\AppData\
Local\Continuum\anaconda3_new\Scripts\conda.exe
Running conda clean --packages may resolve your problem.

@sarabarja
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sarabarja commented Oct 23, 2018

I have the same CondaError when I install PYOMO PACKAGE.

Downloading and Extracting Packages xlsxwriter-1.1.2 | 103 KB | ############################################################################ | 100% tqdm-4.28.1 | 38 KB | ############################################################################ | 100%

Preparing transaction: done
Verifying transaction: done
Executing transaction: failed

ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\sara.barja\anaconda3\Scripts\conda.exe Running conda clean --packages may resolve your problem. Attempting to roll back.

Rolling back transaction: Rolling back transaction: done
CondaError: Cannot link a source that does not exist. C:\Users\sara.barja\anaconda3\Scripts\conda.exe Running conda clean --packages may resolve your problem.

I have tried everything that has been mentioned above but nothing happens. I am using conda/4.5.11 requests/2.19.1 CPython/3.7.0 Windows/10

Could anyone help please? Thank you so much! #7891

@sarabarja
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sarabarja commented Oct 23, 2018

I fix the problem backing up conda, conda-built and python version. It seems like a new version problem.

Here explains you how to install older python versions: ( you must install older versions of conda and conda-built as well)
http://chris35wills.github.io/conda_python_version/

I back up everything to these versions:
conda version 4.5.11
conda build version 3.4.1
python 3.6.4

After doing this, i could install pyomo package. But then, the Anaconda Navigator and the Spyder didnt launch. So I write this on mi conda prompt and everything work back again:

pip install pyqt5

This has worked for me...

@jolsby
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jolsby commented Nov 4, 2018

I had a similar issue with using conda to install tweepy.

After going through many of these suggestions I resorted to a clean install of the previous version of 5.2. Anaconda 5.3 simply had too many errors I couldn't seem to pinpoint.

If you want to save yourself a lot of time, I strongly suggest just downgrading.

You can find the archive here
Version: Anaconda3-5.2.0-Windows-x86_64.exe

This worked for me.

@Ali-Khalil-j
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I have installed Anaconda on the drive other than C(primary in Windows).
I tried to install scrapy by running this command on conda propmt:

conda install -c conda-forge scrapy

And i recieved this error:
conda-error

After that, I triedd to find out its solution and come to know that i should run following command and it will resolve my issue:

conda update -n base conda

but it did not.
What should i do now?
Issue with my laptop is that, i have a detachable screen(Tablet) and its drive capacity is only 30GB and that drive is used as a primary drive(C) and its not extendable.

@gslsqs
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gslsqs commented Nov 27, 2018

I also run into the same problem, and to install scrapy, I also intsalled miniconda. But all the above solutions do not work for me. I tried another solution by the following steps.
Step 1 pip install wheel
Step 2 pip install F://Twisted-18.9.0-cp36-cp36m-win32.whl
This step is to install twisted.(if not, it may run into other problems)
Step 3 pip install F://Scrapy-1.5.1-py2.py3-none-any.whl
This step is to install scrapy.
And I saved the two whl files in F:/.
the wheel file of scrapy and twised can be downloaded from https://www.lfd.uci.edu/~gohlke/pythonlibs/#mysql-python
But it seems that this website does not offer search, so it may cost some time to find the two files.
#windows 10 home. python 3.6.4

@quasar-9
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quasar-9 commented Nov 28, 2018

Mr Google brought me here, too. I have the problem and unfortunately
I try to install pythonocc , I also recieved the error:
" CondaError: Cannot link a source that does not exist. C:...\Anaconda3\Scripts\conda.exe
Running conda clean --packages may resolve your problem. "

I hane tried many solutions ,but still cannot solve the problem。
How can I do ?
Thank you very much.
#win7 home. python3.7

@Carlo-Carandang
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I got it working by first updating conda

conda update -c conda-forge conda
conda install -c conda-forge scrapy

This solution worked for me- thanks!

@strongteck
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Mr Google brought me here, too. I have the problem and unfortunately
I try to install pythonocc , I also recieved the error:
" CondaError: Cannot link a source that does not exist. C:...\Anaconda3\Scripts\conda.exe Running conda clean --packages may resolve your problem. "
I hane tried many solutions ,but still cannot solve the problem。
How can I do ?
Thank you very much.
#win7 home. python3.7

I am getting the same problem when installing pythonocc. No luck after trying solutions mentioned in this thread.

@mediocreankita
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conda update -c conda-forge conda
conda install -c conda-forge scrapy

This helped me. Thanks :)

@PhilxL
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PhilxL commented Jan 12, 2019

Hello,

At last this solution works for me 👍 :

conda config --add pinned_packages defaults::conda
conda install -c conda-forge scrapy

I'm running Anaconda 4.5.12 and python 3.7.1.final.0 (conda info) on Windows 10

Thanks @kalefranz and @mbargull for the help! 👍 👍

@AsmaGargouri
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thanks @keith555. Solution worked for me

mstimberg added a commit to brian-team/brian2 that referenced this issue May 24, 2019
@drh-git
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drh-git commented Jun 26, 2019

What solved it for me on Windows 10:

I uninstalled Anaconda 5.2, installed Anaconda 5.3, updated conda (to 4.7.x), then i created a conda environment and installed scrapy without any problems from conda-forge with install -c conda-forge scrapy.

@vips99
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vips99 commented Oct 5, 2019

Faced similar issue due to conda is not updated.
Executed below to solve the problem:

conda update --all
conda install -c conda-forge scrapy

@Keramatfar
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My apologies. The correct command is

conda config --add pinned_packages defaults::conda

pinned_packages is a list parameter, and therefore you need to use --add rather than --set

does not work.

@hotgly
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hotgly commented Oct 21, 2019

conda update -c conda-forge conda
This helped me. Thanks, @keith555

@tungttnguyen
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Had similar problem while trying to install missingno package on a separate python 3.6 environment (anaconda win-32, Windows 10, conda 4.8.2). Trying all the suggestions above didn't fix the problem. It seems that it was related to chardet installation process.

conda config --add pinned_packages defaults::conda
conda update -c conda-forge conda

Any suggestion to fix this? Thanks!

Executing transaction: \ Disabling notebook extension nb_conda/main...
      - Validating: ok
Disabling tree extension nb_conda/tree...
      - Validating: ok
Disabling: nb_conda
- Writing config: C:\Users\user007\Anaconda2\envs\py36\etc\jupyter

\ Uninstalling jupyter-js-widgets jupyter-js-widgets/extension

menuinst called from non-root env C:\Users\user007\Anaconda2\envs\py36
WARNING menuinst_win32:<module>(154): menuinst called from non-root env C:\Users\user007\Anaconda2\envs\py36
| Disabling nb_conda_kernels...
Disabled nb_conda_kernels

failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::chardet-3.0.4-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\user007\Anaconda2\envs\py36\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.

Rolling back transaction: done

CondaError: Cannot link a source that does not exist. C:\Users\user007\Anaconda2\envs\py36\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.

Full terminal output

(py36) C:\Users\user007>conda update conda
Solving environment: done

## Package Plan ##

  environment location: C:\Users\user007\Anaconda2\envs\py36

  added / updated specs:
    - conda


The following NEW packages will be INSTALLED:

    conda-package-handling: 1.6.0-py36h62dcd97_0
    cryptography-vectors:   2.3.1-py36_0
    importlib_metadata:     0.5-py_0              conda-forge
    prometheus_client:      0.7.1-py_0            conda-forge
    pyrsistent:             0.15.7-py36he774522_0
    tqdm:                   4.43.0-py_0           conda-forge
    typed-ast:              1.1.0-py36_0          conda-forge

The following packages will be UPDATED:

    astroid:                1.6.3-py36_0          conda-forge --> 2.3.3-py36_0
    beautifulsoup4:         4.6.0-py36_0          conda-forge --> 4.8.2-py36_0
    blas:                   1.0-mkl               conda-forge --> 1.0-mkl
    bokeh:                  0.12.15-py36_0        conda-forge --> 1.4.0-py36_0
    certifi:                2018.4.16-py36_0      conda-forge --> 2019.11.28-py36_0
    cffi:                   1.11.5-py36_0         conda-forge --> 1.14.0-py36h7a1dbc1_0
    conda:                  4.5.1-py36_0          conda-forge --> 4.8.2-py36_0
    cryptography:           2.2.1-py36_0          conda-forge --> 2.3-py36h74b6da3_1
    curl:                   7.60.0-vc14_0         conda-forge --> 7.61.1-h7602738_0
    docutils:               0.14-py36_0           conda-forge --> 0.16-py36_0
    entrypoints:            0.2.3-py36_1          conda-forge --> 0.3-py36_0
    expat:                  2.2.5-vc14_0          conda-forge --> 2.2.5-he025d50_0
    freexl:                 1.0.5-vc14_0          conda-forge --> 1.0.5-hfa6e2cd_0
    hdf4:                   4.2.13-vc14_0         conda-forge --> 4.2.13-hf3d92eb_2
    icu:                    58.2-vc14_0           conda-forge --> 58.2-h3fcc66b_1
    idna:                   2.6-py36_1            conda-forge --> 2.7-py_1               conda-forge
    ipython:                6.3.1-py36_0          conda-forge --> 6.5.0-py36_0
    ipywidgets:             7.2.1-py36_1          conda-forge --> 7.5.1-py_0             conda-forge
    isort:                  4.3.4-py36_0          conda-forge --> 4.3.21-py36_0
    jedi:                   0.12.0-py36_0         conda-forge --> 0.16.0-py36_0
    jpeg:                   9b-vc14_2             conda-forge --> 9b-he27b436_2
    jsonschema:             2.6.0-py36_1          conda-forge --> 3.2.0-py36_0
    jupyter_console:        5.2.0-py36_0          conda-forge --> 5.2.0-py36_1
    kealib:                 1.4.7-vc14_4          conda-forge --> 1.4.7-hfed70e2_5
    keyring:                12.0.1-py36_0         conda-forge --> 21.1.0-py36_0
    lazy-object-proxy:      1.3.1-py36_0          conda-forge --> 1.4.3-py36he774522_0
    libpng:                 1.6.34-vc14_0         conda-forge --> 1.6.37-h2a8f88b_0
    libsodium:              1.0.16-vc14_0         conda-forge --> 1.0.16-h9d3ae62_0
    markupsafe:             1.0-py36_0            conda-forge --> 1.1.1-py36he774522_0
    menuinst:               1.4.11-py36_0         conda-forge --> 1.4.16-py36he774522_0
    mkl_random:             1.0.1-py36_0          conda-forge --> 1.0.1-py36h77b88f5_1
    nb_conda:               2.2.1-py36_0          conda-forge --> 2.2.1-py36_1
    nb_conda_kernels:       2.1.1-py36_1          conda-forge --> 2.2.2-py36_0
    notebook:               5.4.1-py36_0          conda-forge --> 6.0.1-py36_0
    pandas:                 0.22.0-py36_0         conda-forge --> 1.0.1-py36h47e9c7a_0
    pcre:                   8.41-vc14_1           conda-forge --> 8.43-ha925a31_0
    pickleshare:            0.7.4-py36_0          conda-forge --> 0.7.5-py36_0
    pip:                    10.0.1-py36_0         conda-forge --> 20.0.2-py_2            conda-forge
    psutil:                 5.4.5-py36_0          conda-forge --> 5.6.7-py36he774522_0
    pycosat:                0.6.3-py36_0          conda-forge --> 0.6.3-py36he774522_0
    pylint:                 1.8.4-py36_0          conda-forge --> 2.4.4-py36_0
    pyopenssl:              17.5.0-py36_1         conda-forge --> 19.0.0-py36_0
    pyqt:                   5.6.0-py36_5          conda-forge --> 5.6.0-py36h6538335_6
    pysocks:                1.6.8-py36_1          conda-forge --> 1.7.1-py36_0
    python:                 3.6.5-1               conda-forge --> 3.6.10-h9f7ef89_0
    pywin32:                221-py36_0            conda-forge --> 227-py36he774522_1
    pywin32-ctypes:         0.1.2-py36_0          conda-forge --> 0.2.0-py36_1000
    pywinpty:               0.5.2-py36_1          conda-forge --> 0.5.7-py36_0
    pyyaml:                 3.12-py36_1           conda-forge --> 5.3-py36he774522_0
    pyzmq:                  17.0.0-py36_4         conda-forge --> 18.1.1-py36ha925a31_0
    requests:               2.18.4-py36_1         conda-forge --> 2.22.0-py36_1
    ruamel_yaml:            0.15.35-py36_0        conda-forge --> 0.15.87-py36he774522_0
    setuptools:             39.0.1-py36_0         conda-forge --> 45.2.0-py36_0
    shapely:                1.6.4-py36_0          conda-forge --> 1.6.4-py36hc90234e_0
    sip:                    4.18-py36_1           conda-forge --> 4.18.1-py36h6538335_2
    six:                    1.11.0-py36_1         conda-forge --> 1.14.0-py36_0
    spyder:                 3.2.8-py36_0          conda-forge --> 3.3.2-py36_0
    sqlite:                 3.20.1-vc14_2         conda-forge --> 3.31.1-he774522_0
    terminado:              0.8.1-py36_0          conda-forge --> 0.8.3-py36_0
    tornado:                5.0.2-py36_0          conda-forge --> 6.0.3-py36he774522_3
    traitlets:              4.3.2-py36_0          conda-forge --> 4.3.3-py36_0
    urllib3:                1.22-py36_0           conda-forge --> 1.25.8-py36_0
    vc:                     14-h21ff451_11                    --> 14.1-h0510ff6_4
    wheel:                  0.31.0-py36_0         conda-forge --> 0.34.2-py_1            conda-forge
    widgetsnbextension:     3.2.1-py36_1          conda-forge --> 3.5.1-py36_0
    win_inet_pton:          1.0.1-py36_1          conda-forge --> 1.1.0-py36_0
    wincertstore:           0.2-py36_0            conda-forge --> 0.2-py36hcdd9a18_0
    wrapt:                  1.10.11-py36_0        conda-forge --> 1.11.2-py36he774522_0
    xerces-c:               3.2.1-vc14_0          conda-forge --> 3.2.2-ha925a31_0
    zeromq:                 4.2.5-vc14_2          conda-forge --> 4.3.1-h33f27b4_3

The following packages will be DOWNGRADED:

    chardet:                3.0.4-py36_2          conda-forge --> 3.0.4-py_1             conda-forge
    fiona:                  1.7.13-py36_0         conda-forge --> 1.7.10-py36hc53c0d5_0
    freetype:               2.8.1-vc14_0          conda-forge --> 2.8-h0224ed4_1
    hdf5:                   1.10.1-vc14_2         conda-forge --> 1.10.1-ha5fd58c_1
    krb5:                   1.14.6-vc14_0         conda-forge --> 1.14.2-vc14_0          conda-forge
    libnetcdf:              4.4.1.1-vc14_10       conda-forge --> 4.4.1.1-h3024b99_8
    libspatialite:          4.3.0a-vc14_19        conda-forge --> 4.3.0a-h41b8f34_18
    libxml2:                2.9.7-vc14_0          conda-forge --> 2.9.4-vc14_2           conda-forge
    mkl_fft:                1.0.9-py36_0          conda-forge --> 1.0.6-py36hdbbee80_0
    openjpeg:               2.3.0-vc14_2          conda-forge --> 2.3.0-h5ec785f_1
    pillow:                 5.1.0-py36_0          conda-forge --> 4.2.1-py36hc1b3d4a_0
    tk:                     8.6.8-vc14_0          conda-forge --> 8.5.19-vc14_0          conda-forge

Proceed ([y]/n)? y

@LashaGoch
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I had the same issue. I uninstalled Anaconda, Miniconda, and Python. I installed Anaconda and installed Scrapy without conda-forge. Just create new environment where you install Scrapy. At least it worked for me:
conda create --name scrapy scrapy
conda activate scrapy <- this is to activate "scrapy" environment that is created by code above.

@perfumescent
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Can somebody help me please? @kalefranz

conda config --add pinned_packages defaults::conda
conda update -c conda-forge conda

I tried these command and got

Collecting package metadata: done
Solving environment: failed

CondaMemoryError: The conda process ran out of memory. Increase system memory and/or try again.

Also, I ran

conda install -c conda-forge scrapy

got the same CondaMemoryError

@github-actions
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Hi there, thank you for your contribution!

This issue has been automatically marked as stale because it has not had recent activity. It will be closed automatically if no further activity occurs.

If you would like this issue to remain open please:

  1. Verify that you can still reproduce the issue at hand
  2. Comment that the issue is still reproducible and include:
    - What OS and version you reproduced the issue on
    - What steps you followed to reproduce the issue

NOTE: If this issue was closed prematurely, please leave a comment.

Thanks!

@github-actions github-actions bot added the stale [bot] marked as stale due to inactivity label Sep 30, 2022
@github-actions github-actions bot added the stale::closed [bot] closed after being marked as stale label Oct 31, 2022
@github-actions github-actions bot added the locked [bot] locked due to inactivity label Oct 31, 2023
@github-actions github-actions bot locked as resolved and limited conversation to collaborators Oct 31, 2023
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