# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# /opt/recipe, last modified Tue May 25 00:24:00 2021
# ------------------------------------------------

package:
  name: hatchet
  version: 0.3.2
source:
  - sha256: 569b7da97cc2641ecb7212bdaf6dd0c20edb0f641c7b4a665ded96e86baec5e1
    url: https://github.com/raphael-group/hatchet/archive/v0.3.2.zip
  - folder: gurobi902
    sha256: 6527581aef11c3e425c52993d108861ef53ec13971d9931861bf9c88d9d111f3
    url: https://packages.gurobi.com/9.0/gurobi9.0.2_linux64.tar.gz
build:
  number: '0'
  string: py37h22450f8_0
requirements:
  build:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 1_gnu
    - binutils_impl_linux-64 2.35.1 h193b22a_2
    - binutils_linux-64 2.35 h67ddf6f_30
    - bzip2 1.0.8 h7f98852_4
    - c-ares 1.17.1 h7f98852_1
    - ca-certificates 2020.12.5 ha878542_0
    - cmake 3.20.2 h8897547_1
    - expat 2.4.1 h9c3ff4c_0
    - gcc_impl_linux-64 9.3.0 h70c0ae5_19
    - gcc_linux-64 9.3.0 hf25ea35_30
    - gxx_impl_linux-64 9.3.0 hd87eabc_19
    - gxx_linux-64 9.3.0 h3fbe746_30
    - kernel-headers_linux-64 2.6.32 h77966d4_13
    - krb5 1.19.1 hcc1bbae_0
    - ld_impl_linux-64 2.35.1 hea4e1c9_2
    - libcurl 7.76.1 h2574ce0_2
    - libedit 3.1.20191231 he28a2e2_2
    - libev 4.33 h516909a_1
    - libgcc-devel_linux-64 9.3.0 h7864c58_19
    - libgcc-ng 9.3.0 h2828fa1_19
    - libgomp 9.3.0 h2828fa1_19
    - libnghttp2 1.43.0 h812cca2_0
    - libssh2 1.9.0 ha56f1ee_6
    - libstdcxx-devel_linux-64 9.3.0 hb016644_19
    - libstdcxx-ng 9.3.0 h6de172a_19
    - libuv 1.41.0 h7f98852_0
    - lz4-c 1.9.3 h9c3ff4c_0
    - make 4.3 hd18ef5c_1
    - ncurses 6.2 h58526e2_4
    - openssl 1.1.1k h7f98852_0
    - rhash 1.4.1 h7f98852_0
    - sysroot_linux-64 2.12 h77966d4_13
    - tk 8.6.10 h21135ba_1
    - xz 5.2.5 h516909a_1
    - zlib 1.2.11 h516909a_1010
    - zstd 1.5.0 ha95c52a_0
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 1_gnu
    - ca-certificates 2020.12.5 ha878542_0
    - certifi 2020.12.5 py37h89c1867_1
    - ld_impl_linux-64 2.35.1 hea4e1c9_2
    - libffi 3.3 h58526e2_2
    - libgcc-ng 9.3.0 h2828fa1_19
    - libgomp 9.3.0 h2828fa1_19
    - libstdcxx-ng 9.3.0 h6de172a_19
    - ncurses 6.2 h58526e2_4
    - openssl 1.1.1k h7f98852_0
    - pip 21.1.2 pyhd8ed1ab_0
    - python 3.7.10 hffdb5ce_100_cpython
    - python_abi 3.7 1_cp37m
    - readline 8.1 h46c0cb4_0
    - setuptools 49.6.0 py37h89c1867_3
    - sqlite 3.35.5 h74cdb3f_0
    - tk 8.6.10 h21135ba_1
    - wheel 0.36.2 pyhd3deb0d_0
    - xz 5.2.5 h516909a_1
    - zlib 1.2.11 h516909a_1010
  run:
    - bcftools
    - biopython
    - libgcc-ng >=9.3.0
    - libstdcxx-ng >=9.3.0
    - matplotlib-base
    - pandas
    - psutil
    - pysam
    - python >=3.7,<3.8.0a0
    - python_abi 3.7.* *_cp37m
    - requests
    - samtools
    - scikit-learn
    - scipy
    - seaborn
test:
  imports:
    - hatchet
about:
  description: 'HATCHet is an algorithm to infer allele and clone-specific copy-number

    aberrations (CNAs), clone proportions, and whole-genome duplications

    (WGD) for several tumor clones jointly from multiple bulk-tumor samples

    of the same patient or from a single bulk-tumor sample.

    '
  home: https://github.com/raphael-group/hatchet
  license: BSD-3
  summary: Holistic Allele-specific Tumor Copy-number Heterogeneity
extra:
  copy_test_source_files: true
  final: true
