# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# /opt/recipe, last modified Fri Oct  7 16:04:35 2022
# ------------------------------------------------

package:
  name: semibin
  version: 1.1.1
source:
  sha256: 1ea86c023eea70e8f2233de0d3d213a80374d7aed9987e313d4eef696bbdfd86
  url: https://pypi.io/packages/source/S/SemiBin/SemiBin-1.1.1.tar.gz
build:
  entry_points:
    - SemiBin=SemiBin.main:main
  noarch: python
  number: '1'
  script: python -m pip install --no-deps --ignore-installed .
  string: pyh7cba7a3_1
requirements:
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - bzip2 1.0.8 h7f98852_4
    - ca-certificates 2022.9.24 ha878542_0
    - ld_impl_linux-64 2.36.1 hea4e1c9_2
    - libffi 3.4.2 h7f98852_5
    - libgcc-ng 12.1.0 h8d9b700_16
    - libgomp 12.1.0 h8d9b700_16
    - libnsl 2.0.0 h7f98852_0
    - libsqlite 3.39.4 h753d276_0
    - libuuid 2.32.1 h7f98852_1000
    - libzlib 1.2.12 h166bdaf_4
    - ncurses 6.3 h27087fc_1
    - openssl 3.0.5 h166bdaf_2
    - pip 22.2.2 pyhd8ed1ab_0
    - python 3.10.6 ha86cf86_0_cpython
    - readline 8.1.2 h0f457ee_0
    - setuptools 65.4.1 pyhd8ed1ab_0
    - tk 8.6.12 h27826a3_0
    - tzdata 2022d h191b570_0
    - wheel 0.37.1 pyhd8ed1ab_0
    - xz 5.2.6 h166bdaf_0
  run:
    - bedtools
    - fraggenescan
    - hmmer
    - mmseqs2 13.45111.*
    - numexpr
    - numpy
    - pandas
    - prodigal
    - python
    - python-igraph
    - pytorch
    - pyyaml
    - requests
    - samtools
    - scikit-learn
    - tqdm
test:
  commands:
    - SemiBin --help
  imports:
    - SemiBin
about:
  home: https://github.com/BigDataBiology/SemiBin
  license: MIT
  license_family: MIT
  summary: Metagenomic binning with semi-supervised siamese neural network
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - psj1997
