{
  "_id": "6a5fb65114e95619b75d7102",
  "Package": "ZarrArray",
  "Title": "Bring Zarr datasets in R as DelayedArray objects",
  "Description": "The ZarrArray package leverages the Rarr package to bring\nZarr datasets in R as DelayedArray objects. The main class in\nthe package is the ZarrArray class. A ZarrArray object is an\narray-like object that represents a Zarr dataset in R.\nZarrArray objects are DelayedArray derivatives and therefore\nsupport all operations (delayed or block-processed) supported\nby DelayedArray objects.",
  "biocViews": "Infrastructure, DataRepresentation, DataImport",
  "URL": "https://bioconductor.org/packages/ZarrArray",
  "BugReports": "https://github.com/Bioconductor/ZarrArray/issues",
  "Version": "1.1.3",
  "License": "Artistic-2.0",
  "Encoding": "UTF-8",
  "Authors@R": "c(\nperson(\"Hervé\", \"Pagès\", role=c(\"aut\", \"cre\"),\nemail=\"hpages.on.github@gmail.com\",\ncomment=c(ORCID=\"0009-0002-8272-4522\")),\nperson(\"Mike\", \"Smith\", role=\"aut\",\ncomment=c(ORCID=\"0000-0002-7800-3848\")),\nperson(\"Hugo\", \"Gruson\", role=\"aut\",\nemail=\"hugo.gruson@embl.de\",\ncomment=c(ORCID=\"0000-0002-4094-1476\")),\nperson(\"Artür\", \"Manukyan\", role=\"aut\",\nemail=\"artur-man@hotmail.com\",\ncomment=c(ORCID=\"0000-0002-0441-9517\")),\nperson(\"Levi\", \"Waldron\", role=\"fnd\",\nemail=\"levi.waldron@sph.cuny.edu\",\ncomment=c(ORCID=\"0000-0003-2725-0694\")))",
  "VignetteBuilder": "knitr",
  "Collate": "utils.R options.R ZarrArraySeed-class.R ZarrArray-class.R\nwriteZarrArray-auto-args.R writeZarrArray.R\nZarrSparseMatrixSeed-class.R ZarrSparseMatrix-class.R zzz.R",
  "Config/pak/sysreqs": "libblosc-dev libxml2-dev libzstd-dev libssl-dev\nzlib1g-dev",
  "Repository": "https://huber-group-embl.r-universe.dev",
  "Date/Publication": "2026-07-21 17:05:11 UTC",
  "RemoteUrl": "https://github.com/Bioconductor/ZarrArray",
  "RemoteRef": "HEAD",
  "RemoteSha": "092c417853c7cd2a8a171142e92c46a49b3a58c7",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-21 18:06:31 UTC",
    "User": "root"
  },
  "Author": "Hervé Pagès [aut, cre] (ORCID: <https://orcid.org/0009-0002-8272-4522>),\nMike Smith [aut] (ORCID: <https://orcid.org/0000-0002-7800-3848>),\nHugo Gruson [aut] (ORCID: <https://orcid.org/0000-0002-4094-1476>),\nArtür Manukyan [aut] (ORCID: <https://orcid.org/0000-0002-0441-9517>),\nLevi Waldron [fnd] (ORCID: <https://orcid.org/0000-0003-2725-0694>)",
  "Maintainer": "Hervé Pagès <hpages.on.github@gmail.com>",
  "_user": "huber-group-embl",
  "_type": "src",
  "_file": "ZarrArray_1.1.3.tar.gz",
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  "_expires": "2026-10-29T18:11:27.000Z",
  "_created": "2026-07-21T18:06:31.000Z",
  "_published": "2026-07-21T18:11:28.772Z",
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    "author": "Hugo Gruson <git@hugogruson.fr>",
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    "message": "Replace inefficient patterns (#10)\n\n* Use startsWith() instead of substr()\n\nmicrobenchmark::microbenchmark(file.path(\"a\", \"b\"), paste0(\"a\", \"/\", \"b\"), times = 1e4)\n#> Unit: nanoseconds\n#>                   expr min  lq     mean median   uq    max neval\n#>    file.path(\"a\", \"b\") 574 639 1022.293    677  763  84528 10000\n#>  paste0(\"a\", \"/\", \"b\") 848 943 1403.952   1009 1111 170456 10000\n\n* Use !nzchar() instead of == \"\"\n\nmicrobenchmark::microbenchmark(\"test/test/test/test\" == \"\", !nzchar(\"test/test/test/test\"), times = 1e4)\n#> Unit: nanoseconds\n#>                            expr min lq    mean median uq  max neval\n#>     \"test/test/test/test\" == \"\"  60 68 91.1651     74 79 5723 10000\n#>  !nzchar(\"test/test/test/test\")  51 58 80.0586     61 70 9719 10000\n\n* Use file.path() consistently\n\nmicrobenchmark::microbenchmark(paste0(\"group\", \"/data\"), paste0(\"group\", \"/\", \"data\"), file.path(\"group\", \"data\"), times = 1e5)\n#> Unit: nanoseconds\n#>                          expr min  lq      mean median   uq     max neval\n#>      paste0(\"group\", \"/data\") 786 874 1026.1339    902  957 2266881 1e+05\n#>  paste0(\"group\", \"/\", \"data\") 871 968 1151.3651   1000 1081 1589845 1e+05\n#>    file.path(\"group\", \"data\") 590 655  786.3354    678  734 1586759 1e+05\n\n* Use dim() <- NULL instead of as.vector()\n\nx <- sample(1:1e7, 1e7, replace = TRUE)\ndim(x) <- 1e7\n\nbench::mark(\n  as.vector(x),\n  as.integer(x),\n  # We assign to y here for benchmarking purposes. To avoid removing dim for our test object after the first iteration.\n  {\n    y <- x\n    dim(y) <- NULL\n    y\n  },\n  iterations = 1000\n)\n#> # A tibble: 3 × 6\n#>   expression                       min   median `\nitr/sec` mem_alloc\n`\ngc/sec`\n#>   <bch:expr>                  <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>\n#> 1 as.vector(x)                  11.5ms   12.3ms      81.3    38.1MB     25.3\n#> 2 as.integer(x)                 11.5ms   12.3ms      81.2    38.1MB     20.3\n#> 3 { y <- x dim(y) <- NULL y }    326ns    359ns 2545301.         0B ",
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    "login": "hpages",
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  "_homeurl": "https://github.com/bioconductor/zarrarray",
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    "coerce",
    "DelayedArray",
    "extract_array",
    "extract_sparse_array",
    "get_writeZarrArray_auto_chunkdim",
    "get_writeZarrArray_auto_path",
    "get_writeZarrArray_chunk_maxlen",
    "get_writeZarrArray_chunk_shape",
    "get_writeZarrArray_dump_dir",
    "is_sparse",
    "matrixClass",
    "nzcount",
    "path",
    "set_writeZarrArray_chunk_maxlen",
    "set_writeZarrArray_chunk_shape",
    "set_writeZarrArray_dump_dir",
    "show",
    "t",
    "t.CSC_ZarrSparseMatrixSeed",
    "t.CSR_ZarrSparseMatrixSeed",
    "type",
    "write_block",
    "writeZarrArray",
    "ZarrArray",
    "ZarrArraySeed",
    "ZarrRealizationSink",
    "ZarrSparseMatrix",
    "ZarrSparseMatrixSeed"
  ],
  "_help": [
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      "title": "Write an array-like object to disk in Zarr format",
      "topics": [
        "chunkdim,ZarrRealizationSink-method",
        "class:ZarrRealizationSink",
        "coerce,ANY,ZarrArray-method",
        "coerce,DelayedArray,ZarrArray-method",
        "coerce,DelayedMatrix,ZarrMatrix-method",
        "coerce,ZarrRealizationSink,DelayedArray-method",
        "coerce,ZarrRealizationSink,ZarrArray-method",
        "coerce,ZarrRealizationSink,ZarrArraySeed-method",
        "type,ZarrRealizationSink-method",
        "writeZarrArray",
        "write_block,ZarrRealizationSink-method",
        "ZarrRealizationSink",
        "ZarrRealizationSink-class"
      ]
    },
    {
      "page": "writeZarrArray-auto-args",
      "title": "Control writeZarrArray's automatic argument values",
      "topics": [
        "get_writeZarrArray_auto_chunkdim",
        "get_writeZarrArray_auto_path",
        "get_writeZarrArray_chunk_maxlen",
        "get_writeZarrArray_chunk_shape",
        "get_writeZarrArray_dump_dir",
        "set_writeZarrArray_chunk_maxlen",
        "set_writeZarrArray_chunk_shape",
        "set_writeZarrArray_dump_dir",
        "writeZarrArray-auto-args",
        "writeZarrArray_auto_args"
      ]
    },
    {
      "page": "ZarrArray-class",
      "title": "Zarr datasets as DelayedArray objects",
      "topics": [
        "class:ZarrArray",
        "class:ZarrMatrix",
        "coerce,ZarrArray,ZarrMatrix-method",
        "coerce,ZarrMatrix,ZarrArray-method",
        "DelayedArray,ZarrArraySeed-method",
        "matrixClass,ZarrArray-method",
        "ZarrArray",
        "ZarrArray-class",
        "ZarrMatrix",
        "ZarrMatrix-class"
      ]
    },
    {
      "page": "ZarrArraySeed-class",
      "title": "ZarrArraySeed objects",
      "topics": [
        "chunkdim,ZarrArraySeed-method",
        "class:ZarrArraySeed",
        "dim,ZarrArraySeed-method",
        "extract_array,ZarrArraySeed-method",
        "path,ZarrArraySeed-method",
        "show,ZarrArraySeed-method",
        "type,ZarrArraySeed-method",
        "ZarrArraySeed",
        "ZarrArraySeed-class"
      ]
    },
    {
      "page": "ZarrSparseMatrix-class",
      "title": "HDF5 sparse matrices as DelayedMatrix objects",
      "topics": [
        "class:ZarrSparseMatrix",
        "DelayedArray,ZarrSparseMatrixSeed-method",
        "nzcount,ZarrSparseMatrix-method",
        "ZarrSparseMatrix",
        "ZarrSparseMatrix-class"
      ]
    },
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      "title": "ZarrSparseMatrixSeed objects",
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        "chunkdim,CSC_ZarrSparseMatrixSeed-method",
        "chunkdim,CSR_ZarrSparseMatrixSeed-method",
        "class:CSC_ZarrSparseMatrixSeed",
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      "engine": "knitr::rmarkdown",
      "headings": [
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        "ZarrArray objects",
        "Construction",
        "Array and matrix operations",
        "Other operations",
        "Write an array-like object to disk in Zarr format",
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