# This file created by conda-build 3.18.9
# meta.yaml template originally from:
# /opt/recipe, last modified Fri Oct 11 20:36:57 2019
# ------------------------------------------------

package:
    name: gneiss
    version: 0.4.6
source:
    sha256: 5ebf32148909cf74475e45682042c68224f002c1cbf723a5c96014a30f1cf323
    url: https://pypi.io/packages/source/g/gneiss/gneiss-0.4.6.tar.gz
build:
    noarch: python
    number: '0'
    script: python setup.py install --single-version-externally-managed --record=record.txt
    string: py_0
requirements:
    host:
        - _libgcc_mutex 0.1 main
        - asn1crypto 1.0.1 py37_0
        - atomicwrites 1.3.0 py_0
        - attrs 19.2.0 py_0
        - backcall 0.1.0 py_0
        - biom-format 2.1.7 py37h3010b51_1002
        - bokeh 1.3.4 py37_0
        - bzip2 1.0.8 h516909a_1
        - ca-certificates 2019.9.11 hecc5488_0
        - cachecontrol 0.12.5 py_0
        - certifi 2019.9.11 py37_0
        - cffi 1.12.3 py37h8022711_0
        - chardet 3.0.4 py37_1003
        - click 7.0 py_0
        - cryptography 2.7 py37h72c5cf5_0
        - cycler 0.10.0 py_1
        - cython 0.29.13 py37he1b5a44_0
        - dbus 1.13.6 he372182_0
        - decorator 4.4.0 py_0
        - expat 2.2.5 he1b5a44_1003
        - fontconfig 2.13.1 h86ecdb6_1001
        - freetype 2.10.0 he983fc9_1
        - future 0.18.0 py37_0
        - gettext 0.19.8.1 hc5be6a0_1002
        - glib 2.58.3 h6f030ca_1002
        - gst-plugins-base 1.14.5 h0935bb2_0
        - gstreamer 1.14.5 h36ae1b5_0
        - hdmedians 0.13 py37hc1659b7_1001
        - icu 64.2 he1b5a44_1
        - idna 2.8 py37_1000
        - importlib_metadata 0.23 py37_0
        - ipython 7.8.0 py37h5ca1d4c_0
        - ipython_genutils 0.2.0 py_1
        - jedi 0.15.1 py37_0
        - jinja2 2.10.3 py_0
        - joblib 0.14.0 py_0
        - jpeg 9c h14c3975_1001
        - kiwisolver 1.1.0 py37hc9558a2_0
        - libblas 3.8.0 13_openblas
        - libcblas 3.8.0 13_openblas
        - libclang 9.0.0 hc9558a2_1
        - libffi 3.2.1 he1b5a44_1006
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libiconv 1.15 h516909a_1005
        - liblapack 3.8.0 13_openblas
        - libllvm9 9.0.0 hc9558a2_2
        - libopenblas 0.3.7 h6e990d7_1
        - libpng 1.6.37 hed695b0_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - libtiff 4.0.10 h57b8799_1003
        - libuuid 2.32.1 h14c3975_1000
        - libxcb 1.13 h14c3975_1002
        - libxkbcommon 0.8.4 h516909a_0
        - libxml2 2.9.9 hee79883_5
        - lockfile 0.12.2 py_1
        - lz4-c 1.8.3 he1b5a44_1001
        - markupsafe 1.1.1 py37h14c3975_0
        - matplotlib 3.1.1 py37_1
        - matplotlib-base 3.1.1 py37he7580a8_1
        - more-itertools 7.2.0 py_0
        - msgpack-python 0.6.2 py37hc9558a2_0
        - natsort 6.0.0 py_0
        - ncurses 6.1 hf484d3e_1002
        - nose 1.3.7 py37_1002
        - nspr 4.20 hf484d3e_1000
        - nss 3.46 he751ad9_0
        - numpy 1.17.2 py37h95a1406_0
        - olefile 0.46 py_0
        - openssl 1.1.1c h516909a_0
        - packaging 19.2 py_0
        - pandas 0.25.1 py37hb3f55d8_0
        - parso 0.5.1 py_0
        - patsy 0.5.1 py_0
        - pcre 8.41 hf484d3e_1003
        - pexpect 4.7.0 py37_0
        - pickleshare 0.7.5 py37_1000
        - pillow 6.2.0 py37h6b7be26_0
        - pip 19.2.3 py37_0
        - pluggy 0.13.0 py37_0
        - prompt_toolkit 2.0.10 py_0
        - pthread-stubs 0.4 h14c3975_1001
        - ptyprocess 0.6.0 py_1001
        - py 1.8.0 py_0
        - pycparser 2.19 py37_1
        - pygments 2.4.2 py_0
        - pyopenssl 19.0.0 py37_0
        - pyparsing 2.4.2 py_0
        - pyqt 5.12.3 py37hcca6a23_0
        - pysocks 1.7.1 py37_0
        - pytest 5.2.1 py37_0
        - python 3.7.3 h33d41f4_1
        - python-dateutil 2.8.0 py_0
        - pytz 2019.3 py_0
        - pyyaml 5.1.2 py37h516909a_0
        - qt 5.12.5 h0c104cb_0
        - readline 8.0 hf8c457e_0
        - requests 2.22.0 py37_1
        - scikit-bio 0.5.5 py37h3010b51_1000
        - scikit-learn 0.21.3 py37hcdab131_0
        - scipy 1.3.1 py37h921218d_2
        - seaborn 0.9.0 py_1
        - setuptools 41.4.0 py37_0
        - six 1.12.0 py37_1000
        - sqlite 3.30.1 hcee41ef_0
        - statsmodels 0.10.1 py37hc1659b7_0
        - tk 8.6.9 hed695b0_1003
        - tornado 6.0.3 py37h516909a_0
        - traitlets 4.3.3 py37_0
        - urllib3 1.25.6 py37_0
        - wcwidth 0.1.7 py_1
        - wheel 0.33.6 py37_0
        - xorg-libxau 1.0.9 h14c3975_0
        - xorg-libxdmcp 1.1.3 h516909a_0
        - xz 5.2.4 h14c3975_1001
        - yaml 0.1.7 h14c3975_1001
        - zipp 0.6.0 py_0
        - zlib 1.2.11 h516909a_1006
        - zstd 1.4.0 h3b9ef0a_0
    run:
        - biom-format
        - bokeh
        - ipython >=3.2.0
        - matplotlib >=1.4.3
        - nose >=1.3.7
        - numpy >=1.9.2
        - pandas >=0.18.0
        - python >3
        - scikit-bio >=0.5.1
        - scipy >=0.15.1
        - seaborn
        - statsmodels >=0.8.0
test:
    imports:
        - gneiss
        - gneiss.cluster
        - gneiss.cluster.tests
        - gneiss.composition
        - gneiss.plot
        - gneiss.regression
        - gneiss.regression.tests
about:
    home: https://biocore.github.io/gneiss/
    license: BSD
    license_family: BSD
    summary: Compositional data analysis tools and visualizations
extra:
    copy_test_source_files: true
    final: true
