[conda] unable to install fancyimpute

[Shivam bal]

Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.

(base) C:\Users\user>conda install fancyimpute
Solving environment: failed

PackagesNotFoundError: The following packages are not available from
current channels:

- fancyimpute

Current channels:

- 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

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

[Paul Hobson]

Did you try searching for the package in other channels? It might be in
conda-forge. If it's not, you should add it.
-paul

Post by Shivam bal
Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.
(base) C:\Users\user>conda install fancyimpute
Solving environment: failed
PackagesNotFoundError: The following packages are not available from
- fancyimpute
- 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
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
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[Shivam bal]

---------- Forwarded message ----------
From: "Shivam bal" <***@gmail.com>
Date: Aug 13, 2018 11:19 AM
Subject: Re: [conda] unable to install fancyimpute
To: "Paul Hobson" <***@gmail.com>
Cc:

Hi Paul

Can you please tell me how to install the package in other channel. I don't
understand. Please share the code with me


On Aug 13, 2018 6:13 AM, "Paul Hobson" <***@gmail.com> wrote:

Did you try searching for the package in other channels? It might be in
conda-forge. If it's not, you should add it.
-paul

Post by Shivam bal
Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.
(base) C:\Users\user>conda install fancyimpute
Solving environment: failed
PackagesNotFoundError: The following packages are not available from
- fancyimpute
- 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
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
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[Lori Burns]

It looks like several channels have fancyimpute
(https://anaconda.org/search?q=fancyimpute), though none look heavily
downloaded. For one that matches your target platform, add the channel to
your install line (e.g., `conda install fancyimpute -c brittainhard` for
the first match on that page). Since these aren't widely used, it may be
prudent to install into a separate conda environment (e.g., `conda create
-n fancyenv fancyimpute -c brittainhard`), activate it and try out the
package there without disturbing your main ana/miniconda setup.

Post by Shivam bal
Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.
(base) C:\Users\user>conda install fancyimpute
Solving environment: failed
PackagesNotFoundError: The following packages are not available from
- fancyimpute
- 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
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.

[Ranjan Sinha]

I solved it , i have downloaded visual studio buildtools.

It looks like several channels have fancyimpute (
https://anaconda.org/search?q=fancyimpute), though none look heavily
downloaded. For one that matches your target platform, add the channel to
your install line (e.g., `conda install fancyimpute -c brittainhard` for
the first match on that page). Since these aren't widely used, it may be
prudent to install into a separate conda environment (e.g., `conda create
-n fancyenv fancyimpute -c brittainhard`), activate it and try out the
package there without disturbing your main ana/miniconda setup.

Post by Shivam bal
Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.
(base) C:\Users\user>conda install fancyimpute
Solving environment: failed
PackagesNotFoundError: The following packages are not available from
- fancyimpute
- 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
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.

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[Shivam bal]

Hi Ranjan,
can you help me what should I do now. Since I've followed the same advice
given by Lori burns but getting the same error again.

C:\Users\user>conda create -n fancyenv fancyimpute -c brittainhard
Solving environment: failed

PackagesNotFoundError: The following packages are not available from
current channels:

- fancyimpute

Current channels:

- https://conda.anaconda.org/brittainhard/win-64
- https://conda.anaconda.org/brittainhard/noarch
- 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

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

Post by Ranjan Sinha
I solved it , i have downloaded visual studio buildtools.

It looks like several channels have fancyimpute (
https://anaconda.org/search?q=fancyimpute), though none look heavily
downloaded. For one that matches your target platform, add the channel to
your install line (e.g., `conda install fancyimpute -c brittainhard` for
the first match on that page). Since these aren't widely used, it may be
prudent to install into a separate conda environment (e.g., `conda create
-n fancyenv fancyimpute -c brittainhard`), activate it and try out the
package there without disturbing your main ana/miniconda setup.

Post by Shivam bal
Hi Mates,
Whenever I'm trying to install fancyimpute package, I'm getting error. I
don't understand what to do next. Kindly help me please.
(base) C:\Users\user>conda install fancyimpute
Solving environment: failed
PackagesNotFoundError: The following packages are not available from
- fancyimpute
- 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
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.

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[Paul Madden]

Shivam,

By searching the Anaconda Cloud web interface, like so

https://anaconda.org/search?q=fancyimpute

you can see which channels make the fancyimpute package available and --
important in your case -- which platforms each support. In the "Platforms"
column of the search results, you can see that the fancyimpute package
available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.

I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command

conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute

paul

[Ranjan Sinha]

Hi Shivam,
Please install this and run command on anaconda prompt.
net connectivity is required.
Download from here .
https://github.com/statsmodels/statsmodels/issues/4160

Post by Paul Madden
Shivam,
By searching the Anaconda Cloud web interface, like so
https://anaconda.org/search?q=fancyimpute
you can see which channels make the fancyimpute package available and --
important in your case -- which platforms each support. In the "Platforms"
column of the search results, you can see that the fancyimpute package
available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.
I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command
conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute
paul
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[Shivam bal]

Hi Rajan,

Kindly tell me what to download from here. PFB screenshot

Post by Ranjan Sinha
Hi Shivam,
Please install this and run command on anaconda prompt.
net connectivity is required.
Download from here .
https://github.com/statsmodels/statsmodels/issues/4160

Post by Paul Madden
Shivam,
By searching the Anaconda Cloud web interface, like so
https://anaconda.org/search?q=fancyimpute
you can see which channels make the fancyimpute package available and --
important in your case -- which platforms each support. In the "Platforms"
column of the search results, you can see that the fancyimpute package
available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.
I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command
conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute
paul
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[Ranjan Sinha]

Hello,
Just download build tool.

Post by Shivam bal
Hi Rajan,
Kindly tell me what to download from here. PFB screenshot

Post by Ranjan Sinha
Hi Shivam,
Please install this and run command on anaconda prompt.
net connectivity is required.
Download from here .
https://github.com/statsmodels/statsmodels/issues/4160

Post by Paul Madden
Shivam,
By searching the Anaconda Cloud web interface, like so
https://anaconda.org/search?q=fancyimpute
you can see which channels make the fancyimpute package available and --
important in your case -- which platforms each support. In the "Platforms"
column of the search results, you can see that the fancyimpute package
available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.
I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command
conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute
paul
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[Shivam bal]

Really sorry to bother you Ranjan, But even after installing build tools,
still facing the same issue.


(base) C:\Users\user>pip install fancyimpute
Collecting fancyimpute
Requirement already satisfied: six in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (1.11.0)
Requirement already satisfied: scipy in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (1.0.0)
Requirement already satisfied: numpy>=1.10 in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (1.14.0)
Collecting np-utils (from fancyimpute)
Collecting cvxpy>=1.0.6 (from fancyimpute)
Using cached
https://files.pythonhosted.org/packages/c2/d4/123077905277c2222b104be90012b633911cce7b7b9f38976763c3998c9f/cvxpy-1.0.6.tar.gz
Requirement already satisfied: tensorflow in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (1.10.0)
Requirement already satisfied: scikit-learn>=0.17.1 in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (0.19.1)
Requirement already satisfied: keras>=2.0.0 in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (2.2.2)
Requirement already satisfied: knnimpute in
c:\users\user\anaconda\lib\site-packages (from fancyimpute) (0.1.0)
Requirement already satisfied: future>=0.16 in
c:\users\user\anaconda\lib\site-packages (from np-utils->fancyimpute)
(0.16.0)
Requirement already satisfied: osqp in
c:\users\user\anaconda\lib\site-packages (from cvxpy>=1.0.6->fancyimpute)
(0.4.0)
Requirement already satisfied: ecos>=2 in
c:\users\user\anaconda\lib\site-packages (from cvxpy>=1.0.6->fancyimpute)
(2.0.5)
Collecting scs>=1.1.3 (from cvxpy>=1.0.6->fancyimpute)
Using cached
https://files.pythonhosted.org/packages/b3/fd/6e01c4f4a69fcc6c3db130ba55572089e78e77ea8c0921a679f9da1ec04c/scs-2.0.2.tar.gz
Requirement already satisfied: multiprocess in
c:\users\user\anaconda\lib\site-packages (from cvxpy>=1.0.6->fancyimpute)
(0.70.6.1)
Requirement already satisfied: fastcache in
c:\users\user\anaconda\lib\site-packages (from cvxpy>=1.0.6->fancyimpute)
(1.0.2)
Requirement already satisfied: toolz in
c:\users\user\anaconda\lib\site-packages (from cvxpy>=1.0.6->fancyimpute)
(0.9.0)
Requirement already satisfied: gast>=0.2.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(0.2.0)
Requirement already satisfied: tensorboard<1.11.0,>=1.10.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(1.10.0)
Requirement already satisfied: wheel>=0.26 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(0.30.0)
Requirement already satisfied: termcolor>=1.1.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(1.1.0)
Requirement already satisfied: grpcio>=1.8.6 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(1.14.1)
Requirement already satisfied: astor>=0.6.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(0.7.1)
Requirement already satisfied: absl-py>=0.1.6 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(0.3.0)
Requirement already satisfied: setuptools<=39.1.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(38.4.0)
Requirement already satisfied: protobuf>=3.6.0 in
c:\users\user\anaconda\lib\site-packages (from tensorflow->fancyimpute)
(3.6.0)
Requirement already satisfied: h5py in
c:\users\user\anaconda\lib\site-packages (from keras>=2.0.0->fancyimpute)
(2.7.1)
Requirement already satisfied: keras-applications==1.0.4 in
c:\users\user\anaconda\lib\site-packages (from keras>=2.0.0->fancyimpute)
(1.0.4)
Requirement already satisfied: pyyaml in
c:\users\user\anaconda\lib\site-packages (from keras>=2.0.0->fancyimpute)
(3.12)
Requirement already satisfied: keras-preprocessing==1.0.2 in
c:\users\user\anaconda\lib\site-packages (from keras>=2.0.0->fancyimpute)
(1.0.2)
Requirement already satisfied: dill>=0.2.8.1 in
c:\users\user\anaconda\lib\site-packages (from
multiprocess->cvxpy>=1.0.6->fancyimpute) (0.2.8.2)
Requirement already satisfied: markdown>=2.6.8 in
c:\users\user\anaconda\lib\site-packages (from
tensorboard<1.11.0,>=1.10.0->tensorflow->fancyimpute) (2.6.11)
Requirement already satisfied: werkzeug>=0.11.10 in
c:\users\user\anaconda\lib\site-packages (from
tensorboard<1.11.0,>=1.10.0->tensorflow->fancyimpute) (0.14.1)
Requirement already satisfied: pyreadline>=1.7.1 in
c:\users\user\anaconda\lib\site-packages (from
dill>=0.2.8.1->multiprocess->cvxpy>=1.0.6->fancyimpute) (2.1)
Building wheels for collected packages: cvxpy, scs
Running setup.py bdist_wheel for cvxpy ... error
Complete output from command c:\users\user\anaconda\python.exe -u -c
"import setuptools,
tokenize;__file__='C:\\Users\\user\\AppData\\Local\\Temp\\pip-install-h2jht4qh\\cvxpy\\setup.py';f=getattr(tokenize,
'open', open)(__file__);code=f.read().replace('\r\n',
'\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d
C:\Users\user\AppData\Local\Temp\pip-wheel-6it9qv0z --python-tag cp36:
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\cvxpy
copying cvxpy\error.py -> build\lib.win-amd64-3.6\cvxpy
copying cvxpy\settings.py -> build\lib.win-amd64-3.6\cvxpy
copying cvxpy\__init__.py -> build\lib.win-amd64-3.6\cvxpy
creating build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\atom.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\axis_atom.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\cummax.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\geo_mean.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\harmonic_mean.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_min.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_sum_largest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_sum_smallest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\log_det.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\log_sum_exp.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\matrix_frac.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\min.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\mixed_norm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm1.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm_inf.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm_nuc.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\pnorm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\quad_form.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\quad_over_lin.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sigma_max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_largest.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_smallest.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_squares.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\total_variation.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\__init__.py -> build\lib.win-amd64-3.6\cvxpy\atoms
creating build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\add_expr.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\affine_atom.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\binary_operators.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\bmat.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\conj.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\conv.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\cumsum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\diag.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\diff.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\hstack.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\imag.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\index.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\kron.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\promote.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\real.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\reshape.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\sum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\trace.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\transpose.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\unary_operators.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\upper_tri.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\vec.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\vstack.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
creating build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\abs.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\elementwise.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\entr.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\exp.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\huber.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\inv_pos.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\kl_div.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\log.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\log1p.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\logistic.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\maximum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\minimum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\neg.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\pos.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\power.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\scalene.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\sqrt.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\square.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
creating build\lib.win-amd64-3.6\cvxpy\cvxcore
copying cvxpy\cvxcore\__init__.py -> build\lib.win-amd64-3.6\cvxpy\cvxcore
creating build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\canonInterface.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\cvxcore.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
creating build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\constraint.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\exponential.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\nonlinear.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\nonpos.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\psd.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\second_order.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\soc_axis.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\zero.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
creating build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\cvxtypes.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\expression.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\leaf.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\variable.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
creating build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\callback_param.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\constant.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\parameter.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
creating build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\base_matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\matrix_utilities.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\scipy_wrapper.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\interface
creating build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\ndarray_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\sparse_matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
creating build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_constraints.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_op.py -> build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_utils.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\tree_mat.py -> build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\__init__.py -> build\lib.win-amd64-3.6\cvxpy\lin_ops
creating build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\iterative.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\kktsolver.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\objective.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\problem.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\xpress_problem.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems
creating build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\compr_matrix.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\matrix_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\problem_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\sym_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
creating build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\cbc_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\cvxopt_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\ecos_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\glpk_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\glpk_mi_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\gurobi_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\solver.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\xpress_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\canonicalization.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\chain.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\cvx_attr2constr.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\eval_params.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\flip_objective.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\inverse_data.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\reduction.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\solution.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
creating build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
copying cvxpy\reductions\complex2real\complex2real.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
copying cvxpy\reductions\complex2real\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
creating
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\abs_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\aff_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\constant_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\matrix_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\pnorm_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\variable_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\zero_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\cone_matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\dcp2cone.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
creating
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\cumsum_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\entr_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\exp_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\geo_mean_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\huber_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\indicator_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\kl_div_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_max_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_sum_largest_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log1p_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\logistic_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log_det_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\log_sum_exp_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\matrix_frac_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\normNuc_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\pnorm_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\power_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_form_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_over_lin_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\sigma_max_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
copying cvxpy\reductions\eliminate_pwl\eliminate_pwl.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
copying cvxpy\reductions\eliminate_pwl\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
creating
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\abs_canon.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\maximum_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\max_canon.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm1_canon.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm_inf_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\sum_largest_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\qp2symbolic_qp.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\qp_matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
creating
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying cvxpy\reductions\qp2quad_form\atom_canonicalizers\power_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying
cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_form_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying
cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_over_lin_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying cvxpy\reductions\qp2quad_form\atom_canonicalizers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\constant_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\defines.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\solving_chain.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\cbc_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\conic_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\cvxopt_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ecos_bb_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ecos_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\elemental_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\glpk_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\glpk_mi_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\gurobi_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\julia_opt_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ls_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\mosek_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\scs_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\xpress_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\cplex_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\gurobi_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\osqp_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\qp_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
copying cvxpy\reductions\solvers\lp_solvers\cbc_lpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
copying cvxpy\reductions\solvers\lp_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
creating build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\base_test.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_atoms.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_cbc.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_complex.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_constant_atoms.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_constraints.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_convolution.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_curvature.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_domain.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_elemental.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_examples.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_expressions.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_grad.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_interfaces.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_julia_opt.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_linear_cone.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_lin_ops.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_matrices.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_mip_vars.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_monotonicity.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_mosek_conif.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_nonlinear_atoms.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_non_optimal.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_objectives.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_problem.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_qp.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_quadratic.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_quad_form.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_scs.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_semidefinite_vars.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_shape.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_sign.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_solvers.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\__init__.py -> build\lib.win-amd64-3.6\cvxpy\tests
creating build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\indicator.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\linearize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\partial_optimize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\scalarize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\separable_problems.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
creating build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\canonical.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\coeff_extractor.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\cvxpy_upgrade.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\grad.py -> build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\key_utils.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\performance_utils.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\power_tools.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\replace_quad_forms.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\shape.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\sign.py -> build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
Fixing build\lib.win-amd64-3.6\cvxpy\error.py
build\lib.win-amd64-3.6\cvxpy\settings.py
build\lib.win-amd64-3.6\cvxpy\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\axis_atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\cummax.py
build\lib.win-amd64-3.6\cvxpy\atoms\geo_mean.py
build\lib.win-amd64-3.6\cvxpy\atoms\harmonic_mean.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_max.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_min.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_sum_largest.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_sum_smallest.py
build\lib.win-amd64-3.6\cvxpy\atoms\log_det.py
build\lib.win-amd64-3.6\cvxpy\atoms\log_sum_exp.py
build\lib.win-amd64-3.6\cvxpy\atoms\matrix_frac.py
build\lib.win-amd64-3.6\cvxpy\atoms\max.py
build\lib.win-amd64-3.6\cvxpy\atoms\min.py
build\lib.win-amd64-3.6\cvxpy\atoms\mixed_norm.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm1.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm_inf.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm_nuc.py
build\lib.win-amd64-3.6\cvxpy\atoms\pnorm.py
build\lib.win-amd64-3.6\cvxpy\atoms\quad_form.py
build\lib.win-amd64-3.6\cvxpy\atoms\quad_over_lin.py
build\lib.win-amd64-3.6\cvxpy\atoms\sigma_max.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_largest.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_smallest.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_squares.py
build\lib.win-amd64-3.6\cvxpy\atoms\total_variation.py
build\lib.win-amd64-3.6\cvxpy\atoms\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\add_expr.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\affine_atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\binary_operators.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\bmat.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\conj.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\conv.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\cumsum.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\diag.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\diff.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\hstack.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\imag.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\index.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\kron.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\promote.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\real.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\reshape.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\sum.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\trace.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\transpose.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\unary_operators.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\upper_tri.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\vec.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\vstack.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\abs.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\elementwise.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\entr.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\exp.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\huber.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\inv_pos.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\kl_div.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log1p.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\logistic.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\maximum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\minimum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\neg.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\pos.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\power.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\scalene.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\sqrt.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\square.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\__init__.py
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build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\kl_div.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log1p.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\logistic.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\maximum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\minimum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\neg.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\pos.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\power.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\scalene.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\sqrt.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\square.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\__init__.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\__init__.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\canonInterface.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\cvxcore.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\__init__.py
build\lib.win-amd64-3.6\cvxpy\constraints\constraint.py
build\lib.win-amd64-3.6\cvxpy\constraints\exponential.py
build\lib.win-amd64-3.6\cvxpy\constraints\nonlinear.py
build\lib.win-amd64-3.6\cvxpy\constraints\nonpos.py
build\lib.win-amd64-3.6\cvxpy\constraints\psd.py
build\lib.win-amd64-3.6\cvxpy\constraints\second_order.py
build\lib.win-amd64-3.6\cvxpy\constraints\soc_axis.py
build\lib.win-amd64-3.6\cvxpy\constraints\utilities.py
build\lib.win-amd64-3.6\cvxpy\constraints\zero.py
build\lib.win-amd64-3.6\cvxpy\constraints\__init__.py
build\lib.win-amd64-3.6\cvxpy\expressions\cvxtypes.py
build\lib.win-amd64-3.6\cvxpy\expressions\expression.py
build\lib.win-amd64-3.6\cvxpy\expressions\leaf.py
build\lib.win-amd64-3.6\cvxpy\expressions\variable.py
build\lib.win-amd64-3.6\cvxpy\expressions\__init__.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\callback_param.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\constant.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\parameter.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\__init__.py
build\lib.win-amd64-3.6\cvxpy\interface\base_matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\matrix_utilities.py
build\lib.win-amd64-3.6\cvxpy\interface\scipy_wrapper.py
build\lib.win-amd64-3.6\cvxpy\interface\__init__.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\ndarray_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\sparse_matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\__init__.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_constraints.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_op.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_utils.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\tree_mat.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\iterative.py
build\lib.win-amd64-3.6\cvxpy\problems\kktsolver.py
build\lib.win-amd64-3.6\cvxpy\problems\objective.py
build\lib.win-amd64-3.6\cvxpy\problems\problem.py
build\lib.win-amd64-3.6\cvxpy\problems\xpress_problem.py
build\lib.win-amd64-3.6\cvxpy\problems\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\compr_matrix.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\matrix_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\problem_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\sym_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\cbc_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\cvxopt_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\ecos_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\glpk_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\glpk_mi_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\gurobi_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\solver.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\xpress_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\canonicalization.py
build\lib.win-amd64-3.6\cvxpy\reductions\chain.py
build\lib.win-amd64-3.6\cvxpy\reductions\cvx_attr2constr.py
build\lib.win-amd64-3.6\cvxpy\reductions\eval_params.py
build\lib.win-amd64-3.6\cvxpy\reductions\flip_objective.py
build\lib.win-amd64-3.6\cvxpy\reductions\inverse_data.py
build\lib.win-amd64-3.6\cvxpy\reductions\matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\reduction.py
build\lib.win-amd64-3.6\cvxpy\reductions\solution.py
build\lib.win-amd64-3.6\cvxpy\reductions\utilities.py
build\lib.win-amd64-3.6\cvxpy\reductions\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\complex2real.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\abs_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\aff_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\constant_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\matrix_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\pnorm_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\variable_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\zero_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\cone_matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\dcp2cone.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\cumsum_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\entr_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\exp_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\geo_mean_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\huber_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\indicator_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\kl_div_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_sum_largest_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log1p_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\logistic_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_det_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_sum_exp_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\matrix_frac_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\normNuc_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\pnorm_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\power_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_form_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_over_lin_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\sigma_max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\eliminate_pwl.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\abs_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\maximum_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm1_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm_inf_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\sum_largest_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\qp2symbolic_qp.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\qp_matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\power_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_form_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_over_lin_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\constant_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\defines.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\solving_chain.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\utilities.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\cbc_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\conic_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\cvxopt_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ecos_bb_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ecos_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\elemental_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\glpk_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\glpk_mi_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\gurobi_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\julia_opt_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ls_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\mosek_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\scs_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\xpress_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\cplex_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\gurobi_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\osqp_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\qp_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers\cbc_lpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\tests\base_test.py
build\lib.win-amd64-3.6\cvxpy\tests\test_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_cbc.py
build\lib.win-amd64-3.6\cvxpy\tests\test_complex.py
build\lib.win-amd64-3.6\cvxpy\tests\test_constant_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_constraints.py
build\lib.win-amd64-3.6\cvxpy\tests\test_convolution.py
build\lib.win-amd64-3.6\cvxpy\tests\test_curvature.py
build\lib.win-amd64-3.6\cvxpy\tests\test_domain.py
build\lib.win-amd64-3.6\cvxpy\tests\test_elemental.py
build\lib.win-amd64-3.6\cvxpy\tests\test_examples.py
build\lib.win-amd64-3.6\cvxpy\tests\test_expressions.py
build\lib.win-amd64-3.6\cvxpy\tests\test_grad.py
build\lib.win-amd64-3.6\cvxpy\tests\test_interfaces.py
build\lib.win-amd64-3.6\cvxpy\tests\test_julia_opt.py
build\lib.win-amd64-3.6\cvxpy\tests\test_linear_cone.py
build\lib.win-amd64-3.6\cvxpy\tests\test_lin_ops.py
build\lib.win-amd64-3.6\cvxpy\tests\test_matrices.py
build\lib.win-amd64-3.6\cvxpy\tests\test_mip_vars.py
build\lib.win-amd64-3.6\cvxpy\tests\test_monotonicity.py
build\lib.win-amd64-3.6\cvxpy\tests\test_mosek_conif.py
build\lib.win-amd64-3.6\cvxpy\tests\test_nonlinear_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_non_optimal.py
build\lib.win-amd64-3.6\cvxpy\tests\test_objectives.py
build\lib.win-amd64-3.6\cvxpy\tests\test_problem.py
build\lib.win-amd64-3.6\cvxpy\tests\test_qp.py
build\lib.win-amd64-3.6\cvxpy\tests\test_quadratic.py
build\lib.win-amd64-3.6\cvxpy\tests\test_quad_form.py
build\lib.win-amd64-3.6\cvxpy\tests\test_scs.py
build\lib.win-amd64-3.6\cvxpy\tests\test_semidefinite_vars.py
build\lib.win-amd64-3.6\cvxpy\tests\test_shape.py
build\lib.win-amd64-3.6\cvxpy\tests\test_sign.py
build\lib.win-amd64-3.6\cvxpy\tests\test_solvers.py
build\lib.win-amd64-3.6\cvxpy\tests\__init__.py
build\lib.win-amd64-3.6\cvxpy\transforms\indicator.py
build\lib.win-amd64-3.6\cvxpy\transforms\linearize.py
build\lib.win-amd64-3.6\cvxpy\transforms\partial_optimize.py
build\lib.win-amd64-3.6\cvxpy\transforms\scalarize.py
build\lib.win-amd64-3.6\cvxpy\transforms\separable_problems.py
build\lib.win-amd64-3.6\cvxpy\transforms\__init__.py
build\lib.win-amd64-3.6\cvxpy\utilities\canonical.py
build\lib.win-amd64-3.6\cvxpy\utilities\coeff_extractor.py
build\lib.win-amd64-3.6\cvxpy\utilities\cvxpy_upgrade.py
build\lib.win-amd64-3.6\cvxpy\utilities\grad.py
build\lib.win-amd64-3.6\cvxpy\utilities\key_utils.py
build\lib.win-amd64-3.6\cvxpy\utilities\performance_utils.py
build\lib.win-amd64-3.6\cvxpy\utilities\power_tools.py
build\lib.win-amd64-3.6\cvxpy\utilities\replace_quad_forms.py
build\lib.win-amd64-3.6\cvxpy\utilities\shape.py
build\lib.win-amd64-3.6\cvxpy\utilities\sign.py
build\lib.win-amd64-3.6\cvxpy\utilities\__init__.py
Skipping optional fixer: buffer
Skipping optional fixer: idioms
Skipping optional fixer: set_literal
Skipping optional fixer: ws_comma
running build_ext
building '_cvxcore' extension
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft
Visual C++ Build Tools":
http://landinghub.visualstudio.com/visual-cpp-build-tools

----------------------------------------
*Failed building wheel for cvxpy*
Running setup.py clean for cvxpy
Running setup.py bdist_wheel for scs ... done
Running setup.py clean for scs
Failed to build cvxpy scs
Installing collected packages: np-utils, scs, cvxpy, fancyimpute
Running setup.py install for scs ... done
Running setup.py install for cvxpy ... error
Complete output from command c:\users\user\anaconda\python.exe -u -c
"import setuptools,
tokenize;__file__='C:\\Users\\user\\AppData\\Local\\Temp\\pip-install-h2jht4qh\\cvxpy\\setup.py';f=getattr(tokenize,
'open', open)(__file__);code=f.read().replace('\r\n',
'\n');f.close();exec(compile(code, __file__, 'exec'))" install --record
C:\Users\user\AppData\Local\Temp\pip-record-ug8p3nae\install-record.txt
--single-version-externally-managed --compile:
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\cvxpy
copying cvxpy\error.py -> build\lib.win-amd64-3.6\cvxpy
copying cvxpy\settings.py -> build\lib.win-amd64-3.6\cvxpy
copying cvxpy\__init__.py -> build\lib.win-amd64-3.6\cvxpy
creating build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\atom.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\axis_atom.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\cummax.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\geo_mean.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\harmonic_mean.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_min.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_sum_largest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\lambda_sum_smallest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\log_det.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\log_sum_exp.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\matrix_frac.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\min.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\mixed_norm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm1.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm_inf.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\norm_nuc.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\pnorm.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\quad_form.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\quad_over_lin.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sigma_max.py -> build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_largest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_smallest.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\sum_squares.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\total_variation.py ->
build\lib.win-amd64-3.6\cvxpy\atoms
copying cvxpy\atoms\__init__.py -> build\lib.win-amd64-3.6\cvxpy\atoms
creating build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\add_expr.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\affine_atom.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\binary_operators.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\bmat.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\conj.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\conv.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\cumsum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\diag.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\diff.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\hstack.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\imag.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\index.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\kron.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\promote.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\real.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\reshape.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\sum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\trace.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\transpose.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\unary_operators.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\upper_tri.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\vec.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\vstack.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
copying cvxpy\atoms\affine\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\affine
creating build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\abs.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\elementwise.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\entr.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\exp.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\huber.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\inv_pos.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\kl_div.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\log.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\log1p.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\logistic.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\maximum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\minimum.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\neg.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\pos.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\power.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\scalene.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\sqrt.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\square.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
copying cvxpy\atoms\elementwise\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise
creating build\lib.win-amd64-3.6\cvxpy\cvxcore
copying cvxpy\cvxcore\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore
creating build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\canonInterface.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\cvxcore.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
copying cvxpy\cvxcore\python\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\cvxcore\python
creating build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\constraint.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\exponential.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\nonlinear.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\nonpos.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\psd.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\second_order.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\soc_axis.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\zero.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
copying cvxpy\constraints\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\constraints
creating build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\cvxtypes.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\expression.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\leaf.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\variable.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
copying cvxpy\expressions\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\expressions
creating build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\callback_param.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\constant.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\parameter.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
copying cvxpy\expressions\constants\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\expressions\constants
creating build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\base_matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\matrix_utilities.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\scipy_wrapper.py ->
build\lib.win-amd64-3.6\cvxpy\interface
copying cvxpy\interface\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\interface
creating build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\ndarray_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\sparse_matrix_interface.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
copying cvxpy\interface\numpy_interface\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface
creating build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_constraints.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_op.py -> build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\lin_utils.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\tree_mat.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
copying cvxpy\lin_ops\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\lin_ops
creating build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\iterative.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\kktsolver.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\objective.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\problem.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\xpress_problem.py ->
build\lib.win-amd64-3.6\cvxpy\problems
copying cvxpy\problems\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems
creating build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\compr_matrix.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\matrix_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\problem_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\sym_data.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
copying cvxpy\problems\problem_data\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems\problem_data
creating build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\cbc_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\cvxopt_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\ecos_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\glpk_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\glpk_mi_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\gurobi_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\solver.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\xpress_intf.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
copying cvxpy\problems\solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\problems\solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\canonicalization.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\chain.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\cvx_attr2constr.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\eval_params.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\flip_objective.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\inverse_data.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\reduction.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\solution.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
copying cvxpy\reductions\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions
creating build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
copying cvxpy\reductions\complex2real\complex2real.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
copying cvxpy\reductions\complex2real\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real
creating
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\abs_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\aff_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\constant_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\matrix_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\pnorm_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying
cvxpy\reductions\complex2real\atom_canonicalizers\variable_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\zero_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
copying cvxpy\reductions\complex2real\atom_canonicalizers\__init__.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\cone_matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\dcp2cone.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
copying cvxpy\reductions\dcp2cone\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone
creating
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\cumsum_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\entr_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\exp_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\geo_mean_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\huber_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\indicator_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\kl_div_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_max_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_sum_largest_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log1p_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\logistic_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\log_det_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\log_sum_exp_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\matrix_frac_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\normNuc_canon.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\pnorm_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\power_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_form_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_over_lin_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying
cvxpy\reductions\dcp2cone\atom_canonicalizers\sigma_max_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
copying cvxpy\reductions\dcp2cone\atom_canonicalizers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
copying cvxpy\reductions\eliminate_pwl\eliminate_pwl.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
copying cvxpy\reductions\eliminate_pwl\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl
creating
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\abs_canon.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\maximum_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\max_canon.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm1_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm_inf_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying
cvxpy\reductions\eliminate_pwl\atom_canonicalizers\sum_largest_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
copying cvxpy\reductions\eliminate_pwl\atom_canonicalizers\__init__.py
->
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\qp2symbolic_qp.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\qp_matrix_stuffing.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
copying cvxpy\reductions\qp2quad_form\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form
creating
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying
cvxpy\reductions\qp2quad_form\atom_canonicalizers\power_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying
cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_form_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying
cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_over_lin_canon.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
copying cvxpy\reductions\qp2quad_form\atom_canonicalizers\__init__.py
-> build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\constant_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\defines.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\solving_chain.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\utilities.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
copying cvxpy\reductions\solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\cbc_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\conic_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\cvxopt_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ecos_bb_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ecos_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\elemental_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\glpk_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\glpk_mi_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\gurobi_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\julia_opt_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\ls_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\mosek_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\scs_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\xpress_conif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
copying cvxpy\reductions\solvers\conic_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\cplex_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\gurobi_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\osqp_qpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\qp_solver.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
copying cvxpy\reductions\solvers\qp_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers
creating build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
copying cvxpy\reductions\solvers\lp_solvers\cbc_lpif.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
copying cvxpy\reductions\solvers\lp_solvers\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers
creating build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\base_test.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_atoms.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_cbc.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_complex.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_constant_atoms.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_constraints.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_convolution.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_curvature.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_domain.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_elemental.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_examples.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_expressions.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_grad.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_interfaces.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_julia_opt.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_linear_cone.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_lin_ops.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_matrices.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_mip_vars.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_monotonicity.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_mosek_conif.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_nonlinear_atoms.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_non_optimal.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_objectives.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_problem.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_qp.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_quadratic.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_quad_form.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_scs.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_semidefinite_vars.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_shape.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_sign.py -> build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\test_solvers.py ->
build\lib.win-amd64-3.6\cvxpy\tests
copying cvxpy\tests\__init__.py -> build\lib.win-amd64-3.6\cvxpy\tests
creating build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\indicator.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\linearize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\partial_optimize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\scalarize.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\separable_problems.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
copying cvxpy\transforms\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\transforms
creating build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\canonical.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\coeff_extractor.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\cvxpy_upgrade.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\grad.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\key_utils.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\performance_utils.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\power_tools.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\replace_quad_forms.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\shape.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\sign.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
copying cvxpy\utilities\__init__.py ->
build\lib.win-amd64-3.6\cvxpy\utilities
Fixing build\lib.win-amd64-3.6\cvxpy\error.py
build\lib.win-amd64-3.6\cvxpy\settings.py
build\lib.win-amd64-3.6\cvxpy\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\axis_atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\cummax.py
build\lib.win-amd64-3.6\cvxpy\atoms\geo_mean.py
build\lib.win-amd64-3.6\cvxpy\atoms\harmonic_mean.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_max.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_min.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_sum_largest.py
build\lib.win-amd64-3.6\cvxpy\atoms\lambda_sum_smallest.py
build\lib.win-amd64-3.6\cvxpy\atoms\log_det.py
build\lib.win-amd64-3.6\cvxpy\atoms\log_sum_exp.py
build\lib.win-amd64-3.6\cvxpy\atoms\matrix_frac.py
build\lib.win-amd64-3.6\cvxpy\atoms\max.py
build\lib.win-amd64-3.6\cvxpy\atoms\min.py
build\lib.win-amd64-3.6\cvxpy\atoms\mixed_norm.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm1.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm_inf.py
build\lib.win-amd64-3.6\cvxpy\atoms\norm_nuc.py
build\lib.win-amd64-3.6\cvxpy\atoms\pnorm.py
build\lib.win-amd64-3.6\cvxpy\atoms\quad_form.py
build\lib.win-amd64-3.6\cvxpy\atoms\quad_over_lin.py
build\lib.win-amd64-3.6\cvxpy\atoms\sigma_max.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_largest.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_smallest.py
build\lib.win-amd64-3.6\cvxpy\atoms\sum_squares.py
build\lib.win-amd64-3.6\cvxpy\atoms\total_variation.py
build\lib.win-amd64-3.6\cvxpy\atoms\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\add_expr.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\affine_atom.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\binary_operators.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\bmat.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\conj.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\conv.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\cumsum.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\diag.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\diff.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\hstack.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\imag.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\index.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\kron.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\promote.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\real.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\reshape.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\sum.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\trace.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\transpose.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\unary_operators.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\upper_tri.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\vec.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\vstack.py
build\lib.win-amd64-3.6\cvxpy\atoms\affine\__init__.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\abs.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\elementwise.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\entr.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\exp.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\huber.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\inv_pos.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\kl_div.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\log1p.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\logistic.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\maximum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\minimum.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\neg.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\pos.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\power.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\scalene.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\sqrt.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\square.py
build\lib.win-amd64-3.6\cvxpy\atoms\elementwise\__init__.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\__init__.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\canonInterface.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\cvxcore.py
build\lib.win-amd64-3.6\cvxpy\cvxcore\python\__init__.py
build\lib.win-amd64-3.6\cvxpy\constraints\constraint.py
build\lib.win-amd64-3.6\cvxpy\constraints\exponential.py
build\lib.win-amd64-3.6\cvxpy\constraints\nonlinear.py
build\lib.win-amd64-3.6\cvxpy\constraints\nonpos.py
build\lib.win-amd64-3.6\cvxpy\constraints\psd.py
build\lib.win-amd64-3.6\cvxpy\constraints\second_order.py
build\lib.win-amd64-3.6\cvxpy\constraints\soc_axis.py
build\lib.win-amd64-3.6\cvxpy\constraints\utilities.py
build\lib.win-amd64-3.6\cvxpy\constraints\zero.py
build\lib.win-amd64-3.6\cvxpy\constraints\__init__.py
build\lib.win-amd64-3.6\cvxpy\expressions\cvxtypes.py
build\lib.win-amd64-3.6\cvxpy\expressions\expression.py
build\lib.win-amd64-3.6\cvxpy\expressions\leaf.py
build\lib.win-amd64-3.6\cvxpy\expressions\variable.py
build\lib.win-amd64-3.6\cvxpy\expressions\__init__.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\callback_param.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\constant.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\parameter.py
build\lib.win-amd64-3.6\cvxpy\expressions\constants\__init__.py
build\lib.win-amd64-3.6\cvxpy\interface\base_matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\matrix_utilities.py
build\lib.win-amd64-3.6\cvxpy\interface\scipy_wrapper.py
build\lib.win-amd64-3.6\cvxpy\interface\__init__.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\ndarray_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\sparse_matrix_interface.py
build\lib.win-amd64-3.6\cvxpy\interface\numpy_interface\__init__.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_constraints.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_op.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\lin_utils.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\tree_mat.py
build\lib.win-amd64-3.6\cvxpy\lin_ops\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\iterative.py
build\lib.win-amd64-3.6\cvxpy\problems\kktsolver.py
build\lib.win-amd64-3.6\cvxpy\problems\objective.py
build\lib.win-amd64-3.6\cvxpy\problems\problem.py
build\lib.win-amd64-3.6\cvxpy\problems\xpress_problem.py
build\lib.win-amd64-3.6\cvxpy\problems\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\compr_matrix.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\matrix_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\problem_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\sym_data.py
build\lib.win-amd64-3.6\cvxpy\problems\problem_data\__init__.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\cbc_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\cvxopt_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\ecos_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\glpk_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\glpk_mi_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\gurobi_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\solver.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\xpress_intf.py
build\lib.win-amd64-3.6\cvxpy\problems\solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\canonicalization.py
build\lib.win-amd64-3.6\cvxpy\reductions\chain.py
build\lib.win-amd64-3.6\cvxpy\reductions\cvx_attr2constr.py
build\lib.win-amd64-3.6\cvxpy\reductions\eval_params.py
build\lib.win-amd64-3.6\cvxpy\reductions\flip_objective.py
build\lib.win-amd64-3.6\cvxpy\reductions\inverse_data.py
build\lib.win-amd64-3.6\cvxpy\reductions\matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\reduction.py
build\lib.win-amd64-3.6\cvxpy\reductions\solution.py
build\lib.win-amd64-3.6\cvxpy\reductions\utilities.py
build\lib.win-amd64-3.6\cvxpy\reductions\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\complex2real.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\abs_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\aff_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\constant_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\matrix_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\pnorm_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\variable_canon.py
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build\lib.win-amd64-3.6\cvxpy\reductions\solution.py
build\lib.win-amd64-3.6\cvxpy\reductions\utilities.py
build\lib.win-amd64-3.6\cvxpy\reductions\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\complex2real.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\abs_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\aff_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\constant_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\matrix_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\pnorm_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\variable_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\zero_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\complex2real\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\cone_matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\dcp2cone.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\cumsum_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\entr_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\exp_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\geo_mean_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\huber_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\indicator_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\kl_div_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\lambda_sum_largest_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log1p_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\logistic_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_det_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\log_sum_exp_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\matrix_frac_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\normNuc_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\pnorm_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\power_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_form_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\quad_over_lin_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\sigma_max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\dcp2cone\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\eliminate_pwl.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\abs_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\maximum_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\max_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm1_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\norm_inf_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\sum_largest_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\eliminate_pwl\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\qp2symbolic_qp.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\qp_matrix_stuffing.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\power_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_form_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\quad_over_lin_canon.py
build\lib.win-amd64-3.6\cvxpy\reductions\qp2quad_form\atom_canonicalizers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\constant_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\defines.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\solving_chain.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\utilities.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\cbc_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\conic_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\cvxopt_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ecos_bb_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ecos_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\elemental_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\glpk_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\glpk_mi_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\gurobi_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\julia_opt_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\ls_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\mosek_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\scs_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\xpress_conif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\conic_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\cplex_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\gurobi_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\osqp_qpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\qp_solver.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\qp_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers\cbc_lpif.py
build\lib.win-amd64-3.6\cvxpy\reductions\solvers\lp_solvers\__init__.py
build\lib.win-amd64-3.6\cvxpy\tests\base_test.py
build\lib.win-amd64-3.6\cvxpy\tests\test_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_cbc.py
build\lib.win-amd64-3.6\cvxpy\tests\test_complex.py
build\lib.win-amd64-3.6\cvxpy\tests\test_constant_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_constraints.py
build\lib.win-amd64-3.6\cvxpy\tests\test_convolution.py
build\lib.win-amd64-3.6\cvxpy\tests\test_curvature.py
build\lib.win-amd64-3.6\cvxpy\tests\test_domain.py
build\lib.win-amd64-3.6\cvxpy\tests\test_elemental.py
build\lib.win-amd64-3.6\cvxpy\tests\test_examples.py
build\lib.win-amd64-3.6\cvxpy\tests\test_expressions.py
build\lib.win-amd64-3.6\cvxpy\tests\test_grad.py
build\lib.win-amd64-3.6\cvxpy\tests\test_interfaces.py
build\lib.win-amd64-3.6\cvxpy\tests\test_julia_opt.py
build\lib.win-amd64-3.6\cvxpy\tests\test_linear_cone.py
build\lib.win-amd64-3.6\cvxpy\tests\test_lin_ops.py
build\lib.win-amd64-3.6\cvxpy\tests\test_matrices.py
build\lib.win-amd64-3.6\cvxpy\tests\test_mip_vars.py
build\lib.win-amd64-3.6\cvxpy\tests\test_monotonicity.py
build\lib.win-amd64-3.6\cvxpy\tests\test_mosek_conif.py
build\lib.win-amd64-3.6\cvxpy\tests\test_nonlinear_atoms.py
build\lib.win-amd64-3.6\cvxpy\tests\test_non_optimal.py
build\lib.win-amd64-3.6\cvxpy\tests\test_objectives.py
build\lib.win-amd64-3.6\cvxpy\tests\test_problem.py
build\lib.win-amd64-3.6\cvxpy\tests\test_qp.py
build\lib.win-amd64-3.6\cvxpy\tests\test_quadratic.py
build\lib.win-amd64-3.6\cvxpy\tests\test_quad_form.py
build\lib.win-amd64-3.6\cvxpy\tests\test_scs.py
build\lib.win-amd64-3.6\cvxpy\tests\test_semidefinite_vars.py
build\lib.win-amd64-3.6\cvxpy\tests\test_shape.py
build\lib.win-amd64-3.6\cvxpy\tests\test_sign.py
build\lib.win-amd64-3.6\cvxpy\tests\test_solvers.py
build\lib.win-amd64-3.6\cvxpy\tests\__init__.py
build\lib.win-amd64-3.6\cvxpy\transforms\indicator.py
build\lib.win-amd64-3.6\cvxpy\transforms\linearize.py
build\lib.win-amd64-3.6\cvxpy\transforms\partial_optimize.py
build\lib.win-amd64-3.6\cvxpy\transforms\scalarize.py
build\lib.win-amd64-3.6\cvxpy\transforms\separable_problems.py
build\lib.win-amd64-3.6\cvxpy\transforms\__init__.py
build\lib.win-amd64-3.6\cvxpy\utilities\canonical.py
build\lib.win-amd64-3.6\cvxpy\utilities\coeff_extractor.py
build\lib.win-amd64-3.6\cvxpy\utilities\cvxpy_upgrade.py
build\lib.win-amd64-3.6\cvxpy\utilities\grad.py
build\lib.win-amd64-3.6\cvxpy\utilities\key_utils.py
build\lib.win-amd64-3.6\cvxpy\utilities\performance_utils.py
build\lib.win-amd64-3.6\cvxpy\utilities\power_tools.py
build\lib.win-amd64-3.6\cvxpy\utilities\replace_quad_forms.py
build\lib.win-amd64-3.6\cvxpy\utilities\shape.py
build\lib.win-amd64-3.6\cvxpy\utilities\sign.py
build\lib.win-amd64-3.6\cvxpy\utilities\__init__.py
Skipping optional fixer: buffer
Skipping optional fixer: idioms
Skipping optional fixer: set_literal
Skipping optional fixer: ws_comma
running build_ext
building '_cvxcore' extension
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft
Visual C++ Build Tools":
http://landinghub.visualstudio.com/visual-cpp-build-tools

----------------------------------------
Command "c:\users\user\anaconda\python.exe -u -c "import setuptools,
tokenize;__file__='C:\\Users\\user\\AppData\\Local\\Temp\\pip-install-h2jht4qh\\cvxpy\\setup.py';f=getattr(tokenize,
'open', open)(__file__);code=f.read().replace('\r\n',
'\n');f.close();exec(compile(code, __file__, 'exec'))" install --record
C:\Users\user\AppData\Local\Temp\pip-record-ug8p3nae\install-record.txt
--single-version-externally-managed --compile" failed with error code 1 in
C:\Users\user\AppData\Local\Temp\pip-install-h2jht4qh\cvxpy\

Post by Ranjan Sinha
Hello,
Just download build tool.

Post by Shivam bal
Hi Rajan,
Kindly tell me what to download from here. PFB screenshot

Post by Ranjan Sinha
Hi Shivam,
Please install this and run command on anaconda prompt.
net connectivity is required.
Download from here .
https://github.com/statsmodels/statsmodels/issues/4160

Post by Paul Madden
Shivam,
By searching the Anaconda Cloud web interface, like so
https://anaconda.org/search?q=fancyimpute
you can see which channels make the fancyimpute package available and
-- important in your case -- which platforms each support. In the
"Platforms" column of the search results, you can see that the fancyimpute
package available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.
I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command
conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute
paul
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[Shivam bal]

Hi Ranjan,

Now I'm getting following error:-

ImportError Traceback (most recent call
last)~\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py
in swig_import_helper() 13 try:---> 14 return
importlib.import_module(mname) 15 except ImportError:
~\Anaconda\lib\importlib\__init__.py in import_module(name, package)
125 level += 1--> 126 return
_bootstrap._gcd_import(name[level:], package, level) 127
~\Anaconda\lib\importlib\_bootstrap.py in _gcd_import(name, package, level)
~\Anaconda\lib\importlib\_bootstrap.py in _find_and_load(name, import_)
~\Anaconda\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_)
~\Anaconda\lib\importlib\_bootstrap.py in _load_unlocked(spec)
~\Anaconda\lib\importlib\_bootstrap.py in module_from_spec(spec)
~\Anaconda\lib\importlib\_bootstrap_external.py in create_module(self, spec)
~\Anaconda\lib\importlib\_bootstrap.py in _call_with_frames_removed(f,
*args, **kwds)
ImportError: DLL load failed: A dynamic link library (DLL)
initialization routine failed.

During handling of the above exception, another exception occurred:
ModuleNotFoundError Traceback (most recent call
last)~\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow.py
in <module>() 57 ---> 58 from
tensorflow.python.pywrap_tensorflow_internal import * 59 from
tensorflow.python.pywrap_tensorflow_internal import __version__
~\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py
in <module>() 16 return
importlib.import_module('_pywrap_tensorflow_internal')---> 17
_pywrap_tensorflow_internal = swig_import_helper() 18 del
swig_import_helper
~\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py
in swig_import_helper() 15 except ImportError:---> 16
return importlib.import_module('_pywrap_tensorflow_internal')
17 _pywrap_tensorflow_internal = swig_import_helper()
~\Anaconda\lib\importlib\__init__.py in import_module(name, package)
125 level += 1--> 126 return
_bootstrap._gcd_import(name[level:], package, level) 127
ModuleNotFoundError: No module named '_pywrap_tensorflow_internal'

During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call
last)<ipython-input-15-8da13cb41eb4> in <module>() 3 #import
pandas as pd 4 #import numpy as np----> 5 from fancyimpute import
KNN 6 #import matplotlib.pyplot as plt 7 #from scipy.stats
import chi2_contingency
~\Anaconda\lib\site-packages\fancyimpute\__init__.py in <module>()
5 from .bayesian_ridge_regression import BayesianRidgeRegression
6 from .mice import MICE----> 7 from .matrix_factorization import
MatrixFactorization 8 from .iterative_svd import IterativeSVD
9 from .simple_fill import SimpleFill
~\Anaconda\lib\site-packages\fancyimpute\matrix_factorization.py in
<module>() 14 15 import numpy as np---> 16 from keras import
regularizers 17 from keras.callbacks import EarlyStopping 18
from keras.layers import Input
~\Anaconda\lib\site-packages\keras\__init__.py in <module>() 1
from __future__ import absolute_import 2 ----> 3 from . import
utils 4 from . import activations 5 from . import
applications
~\Anaconda\lib\site-packages\keras\utils\__init__.py in <module>()
4 from . import data_utils 5 from . import io_utils----> 6 from
. import conv_utils 7 8 # Globally-importable utils.
~\Anaconda\lib\site-packages\keras\utils\conv_utils.py in <module>()
7 from six.moves import range 8 import numpy as np----> 9 from
.. import backend as K 10 11
~\Anaconda\lib\site-packages\keras\backend\__init__.py in <module>()
87 elif _BACKEND == 'tensorflow': 88 sys.stderr.write('Using
TensorFlow backend.\n')---> 89 from .tensorflow_backend import *
90 else: 91 # Try and load external backend.
~\Anaconda\lib\site-packages\keras\backend\tensorflow_backend.py in
<module>() 3 from __future__ import print_function 4 ----> 5
import tensorflow as tf 6 from tensorflow.python.framework import
ops as tf_ops 7 from tensorflow.python.training import
moving_averages
~\Anaconda\lib\site-packages\tensorflow\__init__.py in <module>()
20 21 # pylint: disable=g-bad-import-order---> 22 from
tensorflow.python import pywrap_tensorflow # pylint:
disable=unused-import 23 24 try:
~\Anaconda\lib\site-packages\tensorflow\python\__init__.py in
<module>() 47 import numpy as np 48 ---> 49 from
tensorflow.python import pywrap_tensorflow 50 51 # Protocol
buffers
~\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in
<module>() 72 for some common reasons and solutions. Include the
entire stack trace 73 above this error message when asking for
help.""" % traceback.format_exc()---> 74 raise ImportError(msg)
75 76 # pylint:
enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "C:\Users\user\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py",
line 14, in swig_import_helper
return importlib.import_module(mname)
File "C:\Users\user\Anaconda\lib\importlib\__init__.py", line 126,
in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 994, in _gcd_import
File "<frozen importlib._bootstrap>", line 971, in _find_and_load
File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 658, in _load_unlocked
File "<frozen importlib._bootstrap>", line 571, in module_from_spec
File "<frozen importlib._bootstrap_external>", line 922, in create_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
ImportError: DLL load failed: A dynamic link library (DLL)
initialization routine failed.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Users\user\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow.py",
line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\user\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py",
line 17, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\user\Anaconda\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py",
line 16, in swig_import_helper
return importlib.import_module('_pywrap_tensorflow_internal')
File "C:\Users\user\Anaconda\lib\importlib\__init__.py", line 126,
in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ModuleNotFoundError: No module named '_pywrap_tensorflow_internal'


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

Post by Ranjan Sinha
Hello,
Just download build tool.

Post by Shivam bal
Hi Rajan,
Kindly tell me what to download from here. PFB screenshot

Post by Ranjan Sinha
Hi Shivam,
Please install this and run command on anaconda prompt.
net connectivity is required.
Download from here .
https://github.com/statsmodels/statsmodels/issues/4160

Post by Paul Madden
Shivam,
By searching the Anaconda Cloud web interface, like so
https://anaconda.org/search?q=fancyimpute
you can see which channels make the fancyimpute package available and
-- important in your case -- which platforms each support. In the
"Platforms" column of the search results, you can see that the fancyimpute
package available from the brittainhard channel only supports the linux-64
platform, while you presumably need win-64. It looks like there is a win-64
package in the CIMCB channel, though it provides a newer version of
fancyimpute.
I am using Linux, but was able to create an environment using the CIMCB
fancyimpute package with the command
conda create -n fancyenv -c CIMCB -c conda-forge fancyimpute
paul
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