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        "author": "Elmar Bucher",
        "author_email": "ulmusfagus@zoho.com",
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            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "# About the acjson project ...\n\nThis is a python3 library to produce and process acjson objects.\n\nAcjson (assay coordinate java script object notation) is\nin the big picture a json syntax (http://json.org/) compatible file format,\nthat was developed to capture the most essential experimental annotations\nof a biological wetlab experiment,\nhow ever simple or complicated the layout may be.\n\nIn the guts of this file format is each experimental condition described as a single coordinate.\n\nEach coordinate is an adaptation of the input-processing-output (IPO) model from software engineering, \nwhich is used to describe the structure of an information processing program.\nIn the biological experiment use-case, these are represented by (SPE) sample, perturbation, and assay endpoints, \nwhich are represented as three axes.\n\nEach of this axis can hold as many sample or reagent records as needed to describe the experimental condition.\n\nThis library can produce and process such acjson objects.\n\n\n## Howto guide\n\nHow to install acpipe_acjson?\n```bash\npip3 install acpipe_acjson\n```\n\nHow to load the acpipe_acjson library?\n```python\nimport acpipe_acjson.acjson as ac\n```\n\nHowto get reference information about the implemented constants and functions?\n```python\nimport acpipe_acjson.acjson as ac\n\n# basic constants\nac.ts_ABC\nac.ts_ACAXIS\nac.ts_NOTCOOR\nac.ts_COORSYS\nac.d_WELL\nac.d_RECORD\nac.d_RECORDLONG\n\n# record dictionary add on constants\nac.d_SET\nac.d_EXTERNALID\nac.d_SAMPLE\nac.d_MICROSCOPE\nac.d_PRIMANTIBODY\nac.d_SECANTIBODY\n\n# leaf constants\nac.leaf\nac.es_DATAFRAMELEAF\n\n# 96 to 386 well constantes\nac.dii_96A1\nac.dii_96A2\nac.dii_96B1\nac.dii_96B2\n\n# function\nhelp(ac.retype)\nhelp(ac.escoor)\nhelp(ac.icoormax)\nhelp(ac.ispotmax)\nhelp(ac.ispot)\nhelp(ac.xy2icoor)\nhelp(ac.acrelabel)\nhelp(ac.acbuild)\nhelp(ac.acfuseaxisrecord)\nhelp(ac.acfusewellrecord)\nhelp(ac.acfuserepeat0011)\nhelp(ac.acfuserepeat0101)\nhelp(ac.acfuseobject)\nhelp(ac.acfuse4to1)\nhelp(ac.count_record)\nhelp(ac.record_in_acjson)\nhelp(ac.list_uniq_record)\nhelp(ac.max_record)\nhelp(ac.pop_record)\nhelp(ac.pop_ac)\nhelp(ac.xray)\nhelp(ac.acjson2layouttsv)\nhelp(ac.acjson2dataframetsv)\n```\n\n\n",
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