Conda：当前osx-64通道中缺少依赖关系

(*) ISSUE: 我正在尝试在MacOS上为我的coursera类安装GraphLab Create . 尝试创建新的conda环境时，安装程序失败 .

(*) ATTEMPTED SOLUTIONS:

（1）当前版本的conda的错误消息中列出的已安装软件包：./conda install conda = 4.0

（2）更新了conda本身，当我运行GrapLab安装程序时，它DOWNGRADED为4.0.8

(*) ERROR MESSAGE:

Did not find a broken "gl-env" environment.

Creating conda environment "gl-env".
Using Anaconda Cloud api site https://api.anaconda.org

Fetching package metadata: 

Solving package specifications: 

Error:  Dependencies missing in current osx-64 channels: 

  - anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py27_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_1 -> numexpr 2.5* -> blas * mkl
  - anaconda 4.0|4.0.0* -> numpy 1.10.4 py27_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_1 -> numexpr 2.5* -> blas * openblas
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_1 -> numexpr 2.5* -> numpy 1.11* -> blas * openblas
  - anaconda 4.0|4.0.0* -> numexpr 2.5 np110py27_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_1 -> numexpr 2.5* -> blas * openblas
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_1 -> numexpr 2.5* -> numpy 1.11* -> blas * openblas
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_1 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_1 -> numexpr 2.5* -> blas * openblas
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_1 -> numexpr 2.5* -> numpy 1.11* -> blas * openblas
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_1 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_1 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
  - anaconda 4.0|4.0.0* -> numpy 1.10.4 py34_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_1 -> numexpr 2.5* -> blas * mkl
  - anaconda 4.0|4.0.0* -> numpy 1.10.4 py35_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py34_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> numexpr 2.5 np110py35_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py35_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_1 -> numexpr 2.5* -> blas * mkl
  - anaconda 4.0|4.0.0* -> numexpr 2.5 np110py34_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py35_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py27_0 -> blas * mkl
  - anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py34_0 -> blas * mkl

您可以在anaconda.org上搜索此软件包

anaconda search -t conda blas * mkl

（和其他包类似）

(*) CONDA ENVIRONMENT:

platform : osx-64

conda version : 4.0.8

conda-build version : 0+unknown

python version : 2.7.13.final.0

requests version : 2.9.1

channel URLs : https://repo.continuum.io/pkgs/free/osx-64/
            https://repo.continuum.io/pkgs/free/noarch/
            https://repo.continuum.io/pkgs/pro/osx-64/
            https://repo.continuum.io/pkgs/pro/noarch/
config file : None

是外国系统：错误

(*) INSTALLED PACKAGE VERSIONS:

点8.1.1

点子列表：

alabaster (0.7.7)
anaconda-client (1.4.0)
anaconda-navigator (1.1.0)
appnope (0.1.0)
appscript (1.0.1)
argcomplete (1.0.0)
astropy (1.1.2)
Babel (2.2.0)
backports-abc (0.4)
backports.ssl-match-hostname (3.4.0.2)
beautifulsoup4 (4.4.1)
bitarray (0.8.1)
blaze (0.9.1)
bokeh (0.11.1)
boto (2.39.0)
Bottleneck (1.0.0)
cdecimal (2.3)
cffi (1.5.2)
chest (0.2.3)
cloudpickle (0.1.1)
clyent (1.2.1)
colorama (0.3.7)
conda (4.0.8)
conda-build (0+unknown)
conda-env (2.4.5)
conda-manager (0.3.1)
configobj (5.0.6)
cryptography (1.3)
cycler (0.10.0)
Cython (0.23.4)
cytoolz (0.7.5)
dask (0.8.1)
datashape (0.5.1)
decorator (4.0.9)
dill (0.2.4)
docutils (0.12)
dynd (0.7.3.dev1)
enum34 (1.1.2)
et-xmlfile (1.0.1)
fastcache (1.0.2)
Flask (0.10.1)
Flask-Cors (2.1.2)
funcsigs (0.4)
futures (3.0.3)
gevent (1.1.0)
greenlet (0.4.9)
grin (1.2.1)
h5py (2.5.0)
HeapDict (1.0.0)
idna (2.0)
ipaddress (1.0.14)
ipykernel (4.3.1)
ipython (4.1.2)
ipython-genutils (0.1.0)
ipywidgets (4.1.1)
itsdangerous (0.24)
jdcal (1.2)
jedi (0.9.0)
Jinja2 (2.8)
jsonschema (2.4.0)
jupyter (1.0.0)
jupyter-client (4.2.2)
jupyter-console (4.1.1)
jupyter-core (4.1.0)
llvmlite (0.9.0)
locket (0.2.0)
lxml (3.6.0)
MarkupSafe (0.23)
matplotlib (1.5.1)
mistune (0.7.2)
mpmath (0.19)
multipledispatch (0.4.8)
nbconvert (4.1.0)
nbformat (4.0.1)
networkx (1.11)
nltk (3.2)
nose (1.3.7)
notebook (4.1.0)
numba (0.24.0)
numexpr (2.5)
numpy (1.10.4)
odo (0.4.2)
openpyxl (2.3.2)
pandas (0.18.0)
partd (0.3.2)
path.py (0.0.0)
patsy (0.4.0)
pep8 (1.7.0)
pexpect (4.0.1)
pickleshare (0.5)
Pillow (3.1.1)
pip (8.1.1)
ply (3.8)
psutil (4.1.0)
ptyprocess (0.5)
py (1.4.31)
pyasn1 (0.1.9)
PyAudio (0.2.7)
pycosat (0.6.1)
pycparser (2.14)
pycrypto (2.6.1)
pycurl (7.19.5.3)
pyflakes (1.1.0)
Pygments (2.1.1)
pyOpenSSL (0.15.1)
pyparsing (2.0.3)
pytest (2.8.5)
python-dateutil (2.5.1)
pytz (2016.2)
PyYAML (3.11)
pyzmq (15.2.0)
QtAwesome (0.3.2)
qtconsole (4.2.0)
QtPy (1.0)
redis (2.10.3)
requests (2.9.1)
rope (0.9.4)
scikit-image (0.12.3)
scikit-learn (0.17.1)
scipy (0.17.0)
setuptools (20.3)
simplegeneric (0.8.1)
singledispatch (3.4.0.3)
six (1.10.0)
snowballstemmer (1.2.1)
sockjs-tornado (1.0.1)
Sphinx (1.3.5)
sphinx-rtd-theme (0.1.9)
spyder (2.3.8)
SQLAlchemy (1.0.12)
statsmodels (0.6.1)
sympy (1.0)
tables (3.2.2)
terminado (0.5)
toolz (0.7.4)
tornado (4.3)
traitlets (4.2.1)
unicodecsv (0.14.1)
Werkzeug (0.11.4)
wheel (0.29.0)
xlrd (0.9.4)
XlsxWriter (0.8.4)
xlwings (0.7.0)
xlwt (1.0.0)

我也试过手动创建conda环境但是收到了同样的错误，关于从这里开始的最佳方式的任何想法？