{
    "info": {
        "author": "Joe Brown",
        "author_email": "brwnjm@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: PyPy"
        ],
        "description": "\n# covviz\n\nCoverage visualization; a many-sample coverage browser.\n\nThe aim of `covviz` is to highlight regions of significant\n(passing the user's z-score threshold) and sustained (beyond user specified\ndistance) deviation from the majority of samples. Significance is determined\nusing z-scores for all samples at all points using median absolute deviation.\nIn order for regions to be highlighted, points must be significant\nconsecutively throughout a user specified distance.\n\nIf you are analyzing a low number of samples, deviation may be irrelevant. In\nthis case, we can set `--min-samples` to be greater than our sample total\nto skip Z-threshold calculation and plot coverages for all samples at all\npoints.\n\n# The Python Package\n\n`covviz` is installable via `pip install -U covviz` and analyzes a bed3+\noutput format.\n\n## Usage\n\nTo analyze your coverage data it needs to be in bed3+ format and include a\nheader with sample IDs. The first three column headers are agnostic, but\nfor samples test_sample1, test_sample2, and test_sample3, this would look like:\n\n```\n#chrom   start   end   sample1   sample2   sample3\n```\n\nThen CLI usage is:\n\n```\ncovviz $bed\n```\n\n### Custom Metadata (.ped)\n\nThere is support for non-indexcov .ped files, though you may have to change\nthe default column IDs pertaining to the column which contains the sample ID\nand the sex of the sample.\n\n```\ncovviz --ped $ped --sample-col sample_col --sex sex_col $bed\n```\n\n### Annotation Tracks\n\n![significant_regions](data/img/covviz_tracks.gif)\n\nCurrently we support GFF, VCF, and BED. GFF tracks are added using `--gff`\nwhere features are 'gene' and attributes have 'Name='. Feature type and\nattribute regex can be configured using `--gff-feature` and `--gff-attr`.\n\nVCF tracks (v4.1) are added with `--vcf` with the entire INFO string\nbeing displayed by default. Specifying `--vcf-info` with something like\n'CLNDN=' will grab just that field when using ClinVar variants. Including\nlarge INFO strings for all variants can dramatically increase the size\nof the covviz report.\n\nRegion based annotation tracks can be added using `--bed`. The name field\nwill be used to identify the regions when present.\n\nAnnotation tracks, `--gff`, `--vcf`, and `--bed`, may be specified\nmultiple times.\n\nIn all cases, 'chr' will be stripped from the chromosome names.\n\n# The Nextflow Workflow\n\nIf you're starting with alignment indexes, this workflow aims to simply the\nprocess of obtaining coverage and generating the coverage browser.\n\nWe use [indexcov](https://github.com/brentp/goleft/tree/master/indexcov)\nto quickly estimate the coverage across samples then find regions of large,\ncoverage-based anomalies.\n\nThe output of `indexcov` is then directly input into `covviz`.\n\n## Usage\n\nInstall `nextflow`:\n\n```\ncurl -s https://get.nextflow.io | bash\n```\n\nFull nextflow installation instructions are available at:\nhttps://www.nextflow.io/\n\nTo simplify prerequisite software installations and software version tracking,\nwe strongly recommend running `covviz` using Docker or Singularity. Docker\ninstallation instructions for your operating system are available at:\nhttps://docs.docker.com/install/\n\nThen, with Docker or Singularity we run:\n\n```\nnextflow run brwnj/covviz -latest -profile docker \\\n    --indexes 'data/indexes/*.crai' \\\n    --fai data/g1k_v37_decoy.fa.fai \\\n    --gff data/Homo_sapiens.GRCh37.82.gff3.gz\n```\n\nWhich gives us `./results/covviz_report.html`.\n\n### Required arguments\n\n+ `--indexes`\n    + quoted file path with wildcard ('*.crai') to cram or bam indexes\n+ `--fai`\n    + file path to .fai reference index\n+ `--gff`\n    + file path to gff matching genome build of `--indexes`\n\n### Workflow Options\n\n+ `--outdir`\n    + output directory for results\n    + default: \"./results\"\n+ `--sexchroms`\n    + sex chromosomes as they are in `--indexes`\n    + default: \"X,Y\"\n+ `--exclude`\n    + regular expression of chromosomes to skip\n    + default: \"^GL|^hs|^chrEBV$|M$|MT$|^NC|_random$|Un_|^HLA\\\\-|_alt$|hap\\\\d+$\"\n+ `--zthreshold`\n    + a sample must greater than this many standard deviations in order to be found significant\n    + default: 3.5\n+ `--distancethreshold`\n    + consecutive significant points must span this distance in order to pass this filter\n    + default: 150000\n+ `--slop`\n    + leading and trailing segments added to significant regions to make them more visible\n    + default: 500000\n+ `--ped`\n    + custom metadata that will be merged with the .ped output of indexcov\n    + default: false\n+ `--samplecol`\n    + the column header for sample IDs in your custom ped file\n    + default: \"sample_id\"\n\n\n# Report\n\n## Interactive example\n\nSee: https://brwnj.github.io/covviz/\n\n## Scaled chromosome coverage\n\nSignificant regions will be displayed in color atop a gray region which\nrepresents the upper and lower bounds of a given point minus any values\ndeemed significant.\n\n![significant_regions](data/img/significant_regions.png)\n\nWhen plotting fewer samples than `--min-samples`, the gray area plot\nwill not be displayed. Instead, all sample plot traces will be shown.\n\n![min_samples](data/img/min_samples.png)\n\n## Proportions covered\n\n![proportional_coverage](data/img/proportional_coverage.png)\n\nThe metadata table will be displayed below the plots.\n\n## Interaction\n\nClicking on plot traces highlights the line and searches the metadata.\nDouble-clicking de-selects lines, resets the plot, and de-selects\nsamples from the table. Clicking on the gene track launches a search\nfor the gene's respective Gene Card. In cases where genes overlap,\nmultiple windows/tabs will be opened.\n\n# License\n\ncovviz is free and unrestricted for non-commercial use. For commercial use,\nplease contact [bpedersen@base2genomics.com].\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/brwnj/covviz",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "covviz",
        "package_url": "https://pypi.org/project/covviz/",
        "platform": "",
        "project_url": "https://pypi.org/project/covviz/",
        "project_urls": {
            "Homepage": "https://github.com/brwnj/covviz"
        },
        "release_url": "https://pypi.org/project/covviz/1.1.4/",
        "requires_dist": [
            "Jinja2",
            "lzstring",
            "numpy",
            "pandas"
        ],
        "requires_python": ">=3.6.0",
        "summary": "Multi-sample coverage browser",
        "version": "1.1.4"
    },
    "last_serial": 5821788,
    "releases": {
        "1.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "893250edacac206e99f68d82e7c94ea5",
                    "sha256": "c229a6d1cf8bd3852f1f94bfbbc412651d3c6c35f97796594020778b6ce4d84c"
                },
                "downloads": -1,
                "filename": "covviz-1.0.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "893250edacac206e99f68d82e7c94ea5",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 2953,
                "upload_time": "2019-08-06T22:13:28",
                "url": "https://files.pythonhosted.org/packages/47/19/06f08d203e366e0ac3bc419083a677e6edbf904a8d5e7b5576dfb9dc7c5d/covviz-1.0.2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7367827dee39ed21cb4a3807cef7a4f3",
                    "sha256": "ed700829e864fc069b86e6c11369309f8d51e7d38b2b0a41f401013bc81300a1"
                },
                "downloads": -1,
                "filename": "covviz-1.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "7367827dee39ed21cb4a3807cef7a4f3",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 35047,
                "upload_time": "2019-08-06T22:13:31",
                "url": "https://files.pythonhosted.org/packages/d1/b2/6dfe9ac7bef882d209862ca717a45caa5c4a19f5de0467df6d39c0364748/covviz-1.0.2.tar.gz"
            }
        ],
        "1.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e5ff82330335209c1c4f9d26a9809104",
                    "sha256": "ec626ceeefb3bf6a2de6bac40e4be583045fadaf9a2a06a74d48a29779755a9f"
                },
                "downloads": -1,
                "filename": "covviz-1.0.3-py3.7.egg",
                "has_sig": false,
                "md5_digest": "e5ff82330335209c1c4f9d26a9809104",
                "packagetype": "bdist_egg",
                "python_version": "3.7",
                "requires_python": ">=3.6.0",
                "size": 35776,
                "upload_time": "2019-08-08T16:20:00",
                "url": "https://files.pythonhosted.org/packages/9d/b8/aeca3e9581a6425bb90bae4eadf87a47a14d54fee316673699b7e1024452/covviz-1.0.3-py3.7.egg"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dfd2134175287e68f7ed6f864f5c0358",
                    "sha256": "ee935bda9c9750807e1da166fe8ca63565c95cf81c3c005a1ea255d1bcb5f93e"
                },
                "downloads": -1,
                "filename": "covviz-1.0.3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "dfd2134175287e68f7ed6f864f5c0358",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 2954,
                "upload_time": "2019-08-06T22:45:43",
                "url": "https://files.pythonhosted.org/packages/70/53/7470b60e2ec103ce2f77e8818aaa549c0b7ae8117aaa404b22263e3fd373/covviz-1.0.3-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "1b58a837397c1b9791b498ca12823099",
                    "sha256": "f8c99acb2b5aae8c28aaf9b53e02adb3db3563fb85c12e7eeae3d206b5b40c7f"
                },
                "downloads": -1,
                "filename": "covviz-1.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "1b58a837397c1b9791b498ca12823099",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 35049,
                "upload_time": "2019-08-06T22:45:44",
                "url": "https://files.pythonhosted.org/packages/b8/42/e3005d2656809685d14d6bdaca334b1a170e230f1ed616207d69072cb37e/covviz-1.0.3.tar.gz"
            }
        ],
        "1.0.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3e9ad08d4dbc072c1d4960fa1d767fa5",
                    "sha256": "dc4a66e9f31eac042836b98c9fd449dcd02ef573746e166830a1c4dcff8b748e"
                },
                "downloads": -1,
                "filename": "covviz-1.0.4-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "3e9ad08d4dbc072c1d4960fa1d767fa5",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 35929,
                "upload_time": "2019-08-08T16:19:58",
                "url": "https://files.pythonhosted.org/packages/69/75/35291e6d37ed2140e269728e8bd93bfc84f0a9035ff9ab05a04094bd9e43/covviz-1.0.4-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a1c870ac1b15b25a44786cea5da0ef90",
                    "sha256": "7bc71a0e264bc4225f9105df54a6e9968f55a6ab20cc7785ea5184a34f6d2967"
                },
                "downloads": -1,
                "filename": "covviz-1.0.4.tar.gz",
                "has_sig": false,
                "md5_digest": "a1c870ac1b15b25a44786cea5da0ef90",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 35039,
                "upload_time": "2019-08-08T16:20:02",
                "url": "https://files.pythonhosted.org/packages/4e/ce/aeea1910cbac1993e0a8067461dc1669a7abfb827f3ef859bef682a33c60/covviz-1.0.4.tar.gz"
            }
        ],
        "1.0.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9dcbcc79436cbdcecf98ecbf55b2f026",
                    "sha256": "425af21b9101bbf6dff64726e84bc4c9fee19df35b62dd8abf45d4721024fac3"
                },
                "downloads": -1,
                "filename": "covviz-1.0.5-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9dcbcc79436cbdcecf98ecbf55b2f026",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 37951,
                "upload_time": "2019-08-09T16:21:47",
                "url": "https://files.pythonhosted.org/packages/99/fe/f97546ded2d5ca8d42ab28b8daec12befc54c6e45c5405c92ba1db45239c/covviz-1.0.5-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "1211a1fd57844d3c2cc7b3a271f9ca93",
                    "sha256": "9ab6917f3a0c04b1ee0b7914bdd3e3e70171add78f0240a60f79eaf784272c14"
                },
                "downloads": -1,
                "filename": "covviz-1.0.5.tar.gz",
                "has_sig": false,
                "md5_digest": "1211a1fd57844d3c2cc7b3a271f9ca93",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 37178,
                "upload_time": "2019-08-09T16:21:48",
                "url": "https://files.pythonhosted.org/packages/b1/44/d248df19ef99030ad520a7db407a46bf1d9b91e0e2fef399206362151b50/covviz-1.0.5.tar.gz"
            }
        ],
        "1.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "dcfd85f213aac25e9963ee2e03045089",
                    "sha256": "01cdad7543180b03956c84a6f43629ee3e448f23467fc326596aff5e46c78877"
                },
                "downloads": -1,
                "filename": "covviz-1.1.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "dcfd85f213aac25e9963ee2e03045089",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 39161,
                "upload_time": "2019-08-22T22:26:16",
                "url": "https://files.pythonhosted.org/packages/e7/9e/16415f96b012189646709ceb5bf2a2ecc540f1738945de1c277e25ea06bb/covviz-1.1.0-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "12293d224cdab1465ead4306a62206cb",
                    "sha256": "e9feef8b7672257395362b45d6f17c08a172a3a1e6c3dc66301dba0a86dfd3d3"
                },
                "downloads": -1,
                "filename": "covviz-1.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "12293d224cdab1465ead4306a62206cb",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 38481,
                "upload_time": "2019-08-22T22:26:18",
                "url": "https://files.pythonhosted.org/packages/9c/cb/a9328e3623d9ab1ed487dec8961026b4e498aafa09648eaef8d76180e3e7/covviz-1.1.0.tar.gz"
            }
        ],
        "1.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "cd4f461f628a76347a4e866ad0b34b37",
                    "sha256": "318a46b8c028eb32544baffa8c82bc06e07433434fc0066a48ab42839732c0fd"
                },
                "downloads": -1,
                "filename": "covviz-1.1.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "cd4f461f628a76347a4e866ad0b34b37",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 39050,
                "upload_time": "2019-08-22T22:48:05",
                "url": "https://files.pythonhosted.org/packages/68/a0/1e2f0c209ff870754a579fcaf50203b12980dad6391afd03dd24a574a5e0/covviz-1.1.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e75861d55c2b248a61b12586aa70262c",
                    "sha256": "aeb10950ab50a53cef618140b796c6bfa283ab0dd0979529cead3987c7ce0742"
                },
                "downloads": -1,
                "filename": "covviz-1.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "e75861d55c2b248a61b12586aa70262c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 38231,
                "upload_time": "2019-08-22T22:48:07",
                "url": "https://files.pythonhosted.org/packages/65/ec/726d4dbab368fabecb353705aed91abb5c15206865d7a7559ba24806e150/covviz-1.1.1.tar.gz"
            }
        ],
        "1.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0b4cb9ba8074ad1c93a83052a6974050",
                    "sha256": "4abafb2d1f2938e8b62ba8eb03eeab6aaa84e1b953dd77b1a33da9daf0bcfa2d"
                },
                "downloads": -1,
                "filename": "covviz-1.1.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "0b4cb9ba8074ad1c93a83052a6974050",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 39053,
                "upload_time": "2019-08-30T15:26:32",
                "url": "https://files.pythonhosted.org/packages/52/f6/95721355dfbbfdc885ab8be21b2f33300e4c4205af4e6521cdca516b755c/covviz-1.1.2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "ae59404af24bff29855aa0b36b07470f",
                    "sha256": "7404d716838a789f8356c0a7281db465cab3c1f760753569b852924e202e8d49"
                },
                "downloads": -1,
                "filename": "covviz-1.1.2.tar.gz",
                "has_sig": false,
                "md5_digest": "ae59404af24bff29855aa0b36b07470f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 38305,
                "upload_time": "2019-08-30T15:26:33",
                "url": "https://files.pythonhosted.org/packages/7d/26/a03665da6788c3031ecbecdecd7f82c8a899ece4437af6d7ef408552db02/covviz-1.1.2.tar.gz"
            }
        ],
        "1.1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9ad03ebd58ee4be27a2cd20e3a40e007",
                    "sha256": "6b747f35168393ba235f49c6b9269df7c03fce4a32a7469c5d9d91a857697a1b"
                },
                "downloads": -1,
                "filename": "covviz-1.1.3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9ad03ebd58ee4be27a2cd20e3a40e007",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 45330,
                "upload_time": "2019-08-30T23:26:18",
                "url": "https://files.pythonhosted.org/packages/8e/8b/3322ac5d54b03e53416b4466a12b191dba3deef67cf73bbcc14a7d6166ad/covviz-1.1.3-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7ddb506ce974a6d32afcb07583de9676",
                    "sha256": "f338d55549039eb4f9055f731434266698772b25a1e0263709965c882e3835dd"
                },
                "downloads": -1,
                "filename": "covviz-1.1.3.tar.gz",
                "has_sig": false,
                "md5_digest": "7ddb506ce974a6d32afcb07583de9676",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 43121,
                "upload_time": "2019-08-30T23:26:20",
                "url": "https://files.pythonhosted.org/packages/e6/a1/002bae67000073c3367e5a6f957faa90f44d77ffdcdaedce474f3c655eb0/covviz-1.1.3.tar.gz"
            }
        ],
        "1.1.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "416444e455889ee0e6e56590b131cd55",
                    "sha256": "af41b0118b61f29df32c5b406715aaba40b5cf1889a7f51e084455c6fd1b1289"
                },
                "downloads": -1,
                "filename": "covviz-1.1.4-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "416444e455889ee0e6e56590b131cd55",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6.0",
                "size": 46097,
                "upload_time": "2019-09-12T18:00:58",
                "url": "https://files.pythonhosted.org/packages/2e/89/b770cc69218f0efcfbb37d4739589bfadac3e2c7f39f60c1fd15dec7ebe3/covviz-1.1.4-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c8252def99ce2737390ac17bb6b60243",
                    "sha256": "4c7c5f8eae1e58e779a9e70e7aa4011aae9f1e6666ea8b29207db58a206e2a4a"
                },
                "downloads": -1,
                "filename": "covviz-1.1.4.tar.gz",
                "has_sig": false,
                "md5_digest": "c8252def99ce2737390ac17bb6b60243",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 44189,
                "upload_time": "2019-09-12T18:01:00",
                "url": "https://files.pythonhosted.org/packages/9d/cb/8b0e0467b4eb90dea90a64896425777a5ad9a802d62ddca85ece9032b2f4/covviz-1.1.4.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "416444e455889ee0e6e56590b131cd55",
                "sha256": "af41b0118b61f29df32c5b406715aaba40b5cf1889a7f51e084455c6fd1b1289"
            },
            "downloads": -1,
            "filename": "covviz-1.1.4-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "416444e455889ee0e6e56590b131cd55",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6.0",
            "size": 46097,
            "upload_time": "2019-09-12T18:00:58",
            "url": "https://files.pythonhosted.org/packages/2e/89/b770cc69218f0efcfbb37d4739589bfadac3e2c7f39f60c1fd15dec7ebe3/covviz-1.1.4-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c8252def99ce2737390ac17bb6b60243",
                "sha256": "4c7c5f8eae1e58e779a9e70e7aa4011aae9f1e6666ea8b29207db58a206e2a4a"
            },
            "downloads": -1,
            "filename": "covviz-1.1.4.tar.gz",
            "has_sig": false,
            "md5_digest": "c8252def99ce2737390ac17bb6b60243",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6.0",
            "size": 44189,
            "upload_time": "2019-09-12T18:01:00",
            "url": "https://files.pythonhosted.org/packages/9d/cb/8b0e0467b4eb90dea90a64896425777a5ad9a802d62ddca85ece9032b2f4/covviz-1.1.4.tar.gz"
        }
    ]
}