#!/usr/bin/env python

# -*- coding: utf-8 -*-

from setuptools import setup

import os

import sys

_here = os.path.abspath(os.path.dirname(__file__))

version = {}

with open(os.path.join(_here, 'singlecellmultiomics', 'version.py')) as f:

    exec(f.read(), version)

if sys.version_info[0] < 3:

    with open(os.path.join(_here, 'README.md')) as f:

        long_description = f.read()

else:

    with open(os.path.join(_here, 'README.md'), encoding='utf-8') as f:

        long_description = f.read()

setup(

    name='singlecellmultiomics',

    version=version['__version__'],

    description='Tools to deal with one or more measurements from single cells',

    long_description=long_description,

    long_description_content_type='text/markdown',

    author='Buys de Barbanson',

    author_email='b.barbanson@hubrecht.eu',

    url='https://github.com/BuysDB/SingleCellMultiOmics',

    download_url = 'https://github.com/BuysDB/SingleCellMultiOmics/archive/v0.1.9.tar.gz',

    license='MIT',

    packages=['singlecellmultiomics',

        'singlecellmultiomics.alleleTools',

        'singlecellmultiomics.bamProcessing',

        'singlecellmultiomics.barcodeFileParser',

        'singlecellmultiomics.countTableProcessing',

        'singlecellmultiomics.features',

        'singlecellmultiomics.fragment',

        'singlecellmultiomics.fastqProcessing',

        'singlecellmultiomics.fastaProcessing',

        'singlecellmultiomics.libraryDetection',

        'singlecellmultiomics.libraryProcessing',

        'singlecellmultiomics.modularDemultiplexer',

        'singlecellmultiomics.molecule',

        'singlecellmultiomics.methylation',

        'singlecellmultiomics.pyutils',

        'singlecellmultiomics.variants',

        'singlecellmultiomics.tags',

        'singlecellmultiomics.statistic',

        'singlecellmultiomics.tagtools',

        'singlecellmultiomics.universalBamTagger',

        'singlecellmultiomics.utils',

        'singlecellmultiomics.modularDemultiplexer.demultiplexModules'

        ],

    scripts=[

        # Demultiplexing

        'singlecellmultiomics/modularDemultiplexer/demux.py',

        # Fasta

        'singlecellmultiomics/fastaProcessing/fastaMaskVariants.py',

        'singlecellmultiomics/fastaProcessing/createMappabilityIndex.py',

        'singlecellmultiomics/fastaProcessing/fastaCreateDict.py',

        # Fastq

        'singlecellmultiomics/fastqProcessing/fastq_filter_by_dt.py',

        # Tagging

        'singlecellmultiomics/universalBamTagger/universalBamTagger.py',

        'singlecellmultiomics/universalBamTagger/bamtagmultiome_multi.py',

        'singlecellmultiomics/universalBamTagger/bamtagmultiome.py',

        'singlecellmultiomics/universalBamTagger/tapsTagger.py',

        'singlecellmultiomics/universalBamTagger/tapsTabulator.py',

        'singlecellmultiomics/universalBamTagger/4SUtagger.py',

        # Methylation:

        'singlecellmultiomics/methylation/methylationtab_to_bed.py',

        'singlecellmultiomics/methylation/bam_to_methylation_bw.py',

        # Bam processing:

        'singlecellmultiomics/bamProcessing/bamTabulator.py',

        'singlecellmultiomics/bamProcessing/bamCountRegions.py',

        'singlecellmultiomics/bamProcessing/bamToNucleosomePositions.py',

        'singlecellmultiomics/bamProcessing/bamAnalyzeCutDistances.py',

        'singlecellmultiomics/bamProcessing/bamSplitByTag.py',

        'singlecellmultiomics/bamProcessing/bamReadGroupFormat.py',

        'singlecellmultiomics/bamProcessing/bamSetReadGroup.py',

        'singlecellmultiomics/bamProcessing/bamToCountTable.py',

        'singlecellmultiomics/bamProcessing/bamCopyNumber.py',

        'singlecellmultiomics/bamProcessing/bamExtractSamples.py',

        'singlecellmultiomics/bamProcessing/scmoConvert.py',

        'singlecellmultiomics/bamProcessing/bamToMethylationAndCopyNumber.py',

        'singlecellmultiomics/bamProcessing/bamDinucleotideDistribution.py',

        'singlecellmultiomics/bamProcessing/bamToMethylationCalls.py',

        'singlecellmultiomics/bamProcessing/bamMappingRate.py',

        'singlecellmultiomics/bamProcessing/bamFilter.py',

        'singlecellmultiomics/bamProcessing/bamPlotRTstats.py',

        'singlecellmultiomics/bamProcessing/bamPlateVisualisation.py',

        'singlecellmultiomics/bamProcessing/bamFeatureDensityVisualisation.py',

        'singlecellmultiomics/bamProcessing/bamMethylationCutDistance.py',

        'singlecellmultiomics/bamProcessing/bamDuprate.py',

        'singlecellmultiomics/bamProcessing/bamExtractRandomPrimerStats.py',

        'singlecellmultiomics/bamProcessing/bamToRNACounts.py',

        'singlecellmultiomics/bamProcessing/bamToBigWig.py',

        'singlecellmultiomics/bamProcessing/structureTensor.py',

        'singlecellmultiomics/bamProcessing/bamCompare.py',

        'singlecellmultiomics/bamProcessing/variantStats.py',

        'singlecellmultiomics/bamProcessing/bamExtractVariants.py',

        'singlecellmultiomics/bamProcessing/bamMatchGATKBQSRReport.py',

        'singlecellmultiomics/bamProcessing/bamBinCounts.py',

        'singlecellmultiomics/bamProcessing/bamExtractNearMolecules.py',

        'singlecellmultiomics/bamProcessing/split_double_BAM.py',

        'singlecellmultiomics/bamProcessing/bamOverseq.py',

        'singlecellmultiomics/bamProcessing/plotRegion.py',

        'singlecellmultiomics/bamProcessing/soft_clip_filter.py',

        'singlecellmultiomics/utils/base_call_covariates.py',

        'singlecellmultiomics/bamProcessing/estimateTapsConversionEfficiency.py',

        # Library processing:

        'singlecellmultiomics/libraryProcessing/libraryStatistics.py',

        'singlecellmultiomics/libraryProcessing/scsortchicstats.py',

        'singlecellmultiomics/libraryDetection/archivestats.py',

        'singlecellmultiomics/alleleTools/heterozygousSNPedit.py',

        'singlecellmultiomics/libraryProcessing/scsortchicfeaturedensitytable.py',

        'singlecellmultiomics/libraryProcessing/scsortchicqc.py',

        # Feature conversion:

        'singlecellmultiomics/features/exonGTFtoIntronGTF.py',

        # Variants:

        'singlecellmultiomics/variants/postProcessVariants.py',

        'singlecellmultiomics/variants/vcfFilterAlleleFreq.py',

        'singlecellmultiomics/variants/vcfMutProfiler.py',

        'singlecellmultiomics/variants/plotCovariates.py',

        # Trimming:

        'singlecellmultiomics/fastqProcessing/trim_vasa.py',

        'singlecellmultiomics/utils/bigWigDiff.py',

        # Utility: (SGE wrapper)

        'singlecellmultiomics/utils/submission.py',

        'singlecellmultiomics/utils/ftp_upload.py',

        #Worfklow

        'singlecellmultiomics/snakemake_workflows/scmo_workflow.py',

        'singlecellmultiomics/snakemake_workflows/_general/sge_wrapper.py',

        'singlecellmultiomics/snakemake_workflows/_general/slurm_wrapper.py',

        # Facs:

        'singlecellmultiomics/FACS/trajectory.py'

        ],

  install_requires=[

       'pysam>=0.19.1','numpy>=1.16.5','pandas>=1.3.0','colorama','pyBigWig',

       'cutadapt>=2.9',

       'pysamiterators>=1.9','more-itertools','matplotlib','tabulate',

       'wheel','setuptools>=40.8.0','scikit-learn>=0.21.3','seaborn>=0.11.2', 'statsmodels', 'cached_property',

       'biopython>=1.71','pytest>=5.0.0','pytest-runner','snakemake>=5.8.1','lxml',

       'statsmodels' #,'tensorflow>=1.14.0'

   ],

    setup_requires=["pytest-runner"],

    tests_require=["pytest"],

    include_package_data=True,

    classifiers=[

        'Development Status :: 3 - Alpha',

        'Intended Audience :: Science/Research',

        'Programming Language :: Python :: 3.6',

        'Programming Language :: Python :: 3.7',

         'License :: OSI Approved :: MIT License'

        ]

)