From 5cb703d302a4233f17542b0c372f9e803a7967ae Mon Sep 17 00:00:00 2001 From: Matthias Probst Date: Mon, 18 Dec 2023 16:43:13 +0100 Subject: [PATCH] update doc and bugfixing naming issues --- docs/_static/database_class_diagram.svg | 325 ++++++++++ docs/_static/mongoDB_concept.png | Bin 0 -> 61339 bytes .../{database => _static}/mongoDB_concept.svg | 70 +- docs/_static/repo_class_diagram.svg | 609 ++++++++++++++++++ docs/colab/my_file.json | 40 ++ docs/colab/quickstart.ipynb | 160 ++--- docs/database/hdfDB.ipynb | 114 ++-- docs/database/index.rst | 20 +- docs/database/mongo.ipynb | 49 +- docs/database/mongoDB_concept.png | Bin 66875 -> 0 bytes docs/index.rst | 4 +- docs/layout/getting_started.ipynb | 4 +- docs/repository/zenodo.ipynb | 185 +++++- h5rdmtoolbox/convention/core.py | 8 +- h5rdmtoolbox/database/__init__.py | 4 +- h5rdmtoolbox/database/mongo.py | 2 +- h5rdmtoolbox/layout/core.py | 2 +- h5rdmtoolbox/repository/zenodo/__init__.py | 3 +- h5rdmtoolbox/repository/zenodo/core.py | 24 +- tests/database/test_mongo.py | 10 +- 20 files changed, 1386 insertions(+), 247 deletions(-) create mode 100644 docs/_static/database_class_diagram.svg create mode 100644 docs/_static/mongoDB_concept.png rename docs/{database => _static}/mongoDB_concept.svg (91%) create mode 100644 docs/_static/repo_class_diagram.svg create mode 100644 docs/colab/my_file.json delete mode 100644 docs/database/mongoDB_concept.png diff --git a/docs/_static/database_class_diagram.svg b/docs/_static/database_class_diagram.svg new file mode 100644 index 00000000..a488875d --- /dev/null +++ b/docs/_static/database_class_diagram.svg @@ -0,0 +1,325 @@ + + + + + + + + + + + + + + + HDF5DBInterface(ABC) + + insert_dataset(dataset) + + insert_group(group) + + find_one(*args, **kwargs) + + find(*args, **kwargs) + + + MongoDBInterface + + insert_dataset(dataset, **kwargs) + + insert_group(group **kwargs) + + find_one(filter, *args, **kwargs) + + find(*args, **kwargs) + + + collection + + + FileDBInterface + + insert_dataset(dataset, **kwargs) + + insert_group(group **kwargs) + + find_one(filter, *args, **kwargs) + + find(*args, **kwargs) + + + filename + + + + + diff --git a/docs/_static/mongoDB_concept.png b/docs/_static/mongoDB_concept.png new file mode 100644 index 0000000000000000000000000000000000000000..f30fb3b28d7756f4642018898ec84b3d8901a077 GIT binary patch literal 61339 zcmeEtg;!Kv+ddtlv~&oP(u{P80@4Ubry@gl3|$5wBGL?9qJ$uzFfgPd2n-=1A~S+? z4x!`_zdhgkywCSX{JvRhmP_EAv(LTnxbEw^cj7(6yH_r;T_PYLxT2%2VM0Ja+CxA< z^qhhW{DeW-k^}rh>8ouOKtLdV9seZ^d94-NU-W~x? z4}6`)ef(YWu*z%%1lI_3G}P~hx$~IQscpweZiDrCP}ev`PA`N%BR5^s$gZn1smI={cft5dB~fHC)i% z2$?<+@8^=84w^9Ge?Jps{5_ig{<>U9h)10F-;bs` zr61kDAK^>72}%E6scn4kw(Y+cYCMmlpa1tdUK7R)TIPQ*Of4;bg828s1V+;Td*uHa z_Wu+2dCLtW;GL9e+=}6ht+>TdOgbvMdwA02?&vl@GTC**kxOz4qw+H6-w@=x$k}_E zCV}!4oV!)*@o%V_qUTb{Y_MsE>U94&sPghDz zBw_W_5@v#JB5opX1g_kg#q^&L<&%Yer*|dxyu0%^lA+jaenf!8Xt`Pcr%#q^wyl4Q znQrq?Y?yGLERl%GOR;xz8zK|}kXphlI^|u5gTK*M{4q;iw;f}V5`&BT&+ltd`c;}i 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style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="90.199875" + id="text4"><tspan + sodipodi:role="line" + id="tspan4" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="90.199875">+ upload_hdf_file(...)</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="95.810242" + id="text5"><tspan + sodipodi:role="line" + id="tspan5" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="95.810242">+ get_doi()</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="101.4206" + id="text6"><tspan + sodipodi:role="line" + id="tspan6" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="19.557093" + y="101.4206">+ exists()</tspan></text> + <rect + style="fill:#6f6f6f;stroke:#000000;stroke-width:0.285;stroke-linecap:square;stroke-linejoin:round;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1" + id="rect1-8-4" + width="48.591652" + height="82.940208" + x="98.269226" + y="123.57455" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.264583" + x="101.0853" + y="128.93338" + id="text1-7-4"><tspan + sodipodi:role="line" + id="tspan1-3-6" + style="stroke-width:0.264583" + x="101.0853" + 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style="stroke-width:0.265;stroke-dasharray:none" + x="100.90514" + y="166.65497">+ get_doi()</tspan></text> + <path + style="fill:none;stroke:#000000;stroke-width:0.264583px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" + d="M 98.269221,131.15589 H 146.86089" + id="path2-8-4" + sodipodi:nodetypes="cc" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="100.90514" + y="135.97435" + id="text3-8"><tspan + sodipodi:role="line" + id="tspan3-1" + style="stroke-width:0.265;stroke-dasharray:none" + x="100.90514" + y="135.97435">+ metadata</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="100.90514" + y="141.26602" + id="text10-8"><tspan + sodipodi:role="line" + id="tspan10-8" + style="stroke-width:0.265;stroke-dasharray:none" + x="100.90514" + y="141.26602">+ base_url</tspan></text> + <text + xml:space="preserve" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:3.52777px;line-height:1.25;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="100.83107" + y="172.7131" + id="text2-8"><tspan + sodipodi:role="line" + id="tspan2-1" + style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="100.83107" + y="172.7131">+ download_file(...)</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="101.05431" + y="178.75229" + id="text2-2-6"><tspan + sodipodi:role="line" + id="tspan2-2-1" + 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+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="101.23862" + y="190.84961">+ upload_file(...)</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="101.23862" + y="196.87158" + id="text11"><tspan + sodipodi:role="line" + id="tspan11" + style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="101.23862" + y="196.87158">+ publish()</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="101.23862" + y="202.89354" + id="text12"><tspan + sodipodi:role="line" + id="tspan12" + 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width="46.349941" + height="58.985199" + x="34.769226" + y="123.57455" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.264583" + x="37.585304" + y="128.93338" + id="text1-7-4-1"><tspan + sodipodi:role="line" + id="tspan1-3-6-0" + style="stroke-width:0.264583" + x="37.585304" + y="128.93338">ZenodoRecord</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="144.00874" + id="text2-5-0-4"><tspan + sodipodi:role="line" + id="tspan2-3-8-9" + style="stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="144.00874">+ delete()</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="160.61406" + id="text2-2-4-5-9"><tspan + sodipodi:role="line" + id="tspan2-2-87-3-3" + style="stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="160.61406">+ get(...)</tspan></text> + <path + style="fill:none;stroke:#000000;stroke-width:0.264583px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" + d="M 34.76922,131.15589 H 81.119167" + id="path2-8-4-1" + sodipodi:nodetypes="cc" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="135.97435" + id="text10-8-5"><tspan + sodipodi:role="line" + id="tspan10-8-3" + style="stroke-width:0.265;stroke-dasharray:none" + x="37.405136" + y="135.97435">+ base_url</tspan></text> + <text + xml:space="preserve" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:3.52777px;line-height:1.25;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="37.33107" + y="167.42143" + id="text2-8-0"><tspan + 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sodipodi:role="line" + id="tspan2-2-8-4-7" + style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.738617" + y="179.4998">+ get_filenames()</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.738617" + y="149.57455" + id="text2-2-7-5-4-0"><tspan + sodipodi:role="line" + id="tspan2-2-8-6-9-2" + style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.738617" + y="149.57455">+ upload_file(...)</tspan></text> + <path + style="fill:none;stroke:#000000;stroke-width:0.264583px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" + d="M 34.769219,138.56425 H 81.119166" + id="path13-6" + sodipodi:nodetypes="cc" /> + <rect + style="fill:#6f6f6f;stroke:#000000;stroke-width:0.285;stroke-linecap:square;stroke-linejoin:round;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1" + id="rect1-8" + width="69.732681" + height="57.87035" + x="83.655144" + y="52.898422" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.264583" + x="86.471222" + y="58.257256" + id="text1-7"><tspan + sodipodi:role="line" + id="tspan1-3" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.264583" + x="86.471222" + y="58.257256">AbstractZenodoInterface</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="89.640091" + id="text2-5"><tspan + sodipodi:role="line" + id="tspan2-3" + 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style="stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="101.91422">+ get_doi()</tspan></text> + <path + style="fill:none;stroke:#000000;stroke-width:0.264583px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" + d="m 83.65514,60.479727 h 69.7327" + id="path2-8" + sodipodi:nodetypes="cc" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="65.298248" + id="text3"><tspan + sodipodi:role="line" + id="tspan3" + style="font-style:italic;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:'sans-serif Italic';stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="65.298248">+ metadata</tspan></text> + <path + style="fill:none;stroke:#000000;stroke-width:0.264583px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" + d="m 83.65514,78.471427 h 69.7327" + id="path3" + sodipodi:nodetypes="cc" /> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="70.58992" + id="text7"><tspan + sodipodi:role="line" + id="tspan7" + style="stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="70.58992">+ rec_id</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="83.393326" + id="text8"><tspan + sodipodi:role="line" + id="tspan8" + style="stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="83.393326">+ __init__(...)</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="108.26419" + id="text9"><tspan + sodipodi:role="line" + id="tspan9" + style="stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="108.26419">+ exists()</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="75.881592" + id="text10"><tspan + sodipodi:role="line" + id="tspan10" + style="stroke-width:0.265;stroke-dasharray:none" + x="86.291054" + y="75.881592">+ base_url</tspan></text> + <text + xml:space="preserve" + style="font-size:3.52777px;line-height:1.25;font-family:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.738617" + y="154.86623" + id="text14"><tspan + sodipodi:role="line" + id="tspan14" + style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:sans-serif;-inkscape-font-specification:sans-serif;stroke-width:0.265;stroke-dasharray:none" + x="37.738617" + y="154.86623">+ upload_hdf_file(...)</tspan></text> + </g> +</svg> diff --git a/docs/colab/my_file.json b/docs/colab/my_file.json new file mode 100644 index 00000000..6a455bfa --- /dev/null +++ b/docs/colab/my_file.json @@ -0,0 +1,40 @@ +{ + "attrs": { + "IRI_NAME": "{\"contact\": \"http://w3id.org/nfdi4ing/metadata4ing#ContactPerson\"}", + "__h5rdmtoolbox_version__": "1.0.0", + "contact": "https://orcid.org/0000-0001-8729-0482", + "data_type": "experimental", + "standard_name_table": "https://zenodo.org/record/8276716" + }, + "time": { + "props": { + "shape": [ + 1000 + ], + "dtype": "float64" + }, + "attrs": { + "NAME": "b''", + "standard_name": "time", + "units": "ms" + } + }, + "u": { + "props": { + "shape": [ + 1000 + ], + "dtype": "float64" + }, + "attrs": { + "DIMENSION_LIST": [ + [ + "<HDF5 object reference>" + ] + ], + "IRI_NAME": "{\"units\": \"http://qudt.org/schema/qudt/Unit\"}", + "standard_name": "x_velocity", + "units": "m/s" + } + } +} \ No newline at end of file diff --git a/docs/colab/quickstart.ipynb b/docs/colab/quickstart.ipynb index 8c7b4f51..3d0ecf3c 100644 --- a/docs/colab/quickstart.ipynb +++ b/docs/colab/quickstart.ipynb @@ -21,7 +21,7 @@ "- Define important attributes and their usage in a metadata convention (e.g. a YAML file)\n", "- Publish your convention on a repository like [Zenodo](https://zenodo.org/)\n", "\n", - "At this time we assume, that we have done this already, thus we'll be using a convention published on zenodo, that already exists:" + "At this time we assume, that we have done this already, thus we'll be using a convention published on [Zenodo (doi/rec-id: 10156750)](https://zenodo.org/records/10156750), that already exists:" ] }, { @@ -31,9 +31,10 @@ "outputs": [], "source": [ "import h5rdmtoolbox as h5tbx\n", + "from h5rdmtoolbox.repository import zenodo\n", "\n", - "# Assume we published a convention here: https://zenodo.org/record/8281285\n", - "cv = h5tbx.convention.from_zenodo(doi='10156750')" + "zenodo_repo = zenodo.ZenodoRecord(10156750)\n", + "cv = h5tbx.convention.from_repo(zenodo_repo, 'tutorial_convention.yaml')" ] }, { @@ -119,9 +120,9 @@ "metadata": {}, "outputs": [], "source": [ - "with h5tbx.File(filename) as h5:\n", - " h5.u.attrs.iri['units'] = 'http://qudt.org/schema/qudt/Unit'\n", - " h5.attrs.iri['contact'] = 'http://w3id.org/nfdi4ing/metadata4ing#ContactPerson'" + "with h5tbx.File(filename, 'r+') as h5:\n", + " h5.u.iri['units']['name'] = 'http://qudt.org/schema/qudt/Unit'\n", + " h5.iri['contact']['name'] = 'http://w3id.org/nfdi4ing/metadata4ing#ContactPerson'" ] }, { @@ -336,27 +337,27 @@ "\n", " <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n", " <li>\n", - " <input id=\"group-ds--11304671000\" type=\"checkbox\" checked>\n", - " <label style=\"font-weight: bold\" for=\"group-ds--11304671000\">\n", + " <input id=\"group-ds--11861265500\" type=\"checkbox\" checked>\n", + " <label style=\"font-weight: bold\" for=\"group-ds--11861265500\">\n", " /<span>(2)</span></label>\n", " \n", "\n", - " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">__h5rdmtoolbox_version__ : 0.13.0</li><li style=\"list-style-type: none; font-style: italic\">contact : <a href=\"https://orcid.org/0000-0001-8729-0482\"><img alt=\"ORCID logo\" src=\"https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png\" width=\"16\" height=\"16\" />https://orcid.org/0000-0001-8729-0482</a></li><li style=\"list-style-type: none; font-style: italic\">data_type : experimental</li><li style=\"list-style-type: none; font-style: italic\">standard_name_table : 8276716</li>\n", + " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">__h5rdmtoolbox_version__ : 1.0.0</li><li style=\"list-style-type: none; font-style: italic\">contact<a href=\"http://w3id.org/nfdi4ing/metadata4ing#ContactPerson\"><img src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/iri_icon.png?raw=true\" alt=\" [IRI]\" width=\"16\" height=\"16\" /></a> : <a href=\"https://orcid.org/0000-0001-8729-0482\"><img alt=\"ORCID logo\" src=\"https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png\" width=\"16\" height=\"16\" />https://orcid.org/0000-0001-8729-0482</a></li><li style=\"list-style-type: none; font-style: italic\">data_type : experimental</li><li style=\"list-style-type: none; font-style: italic\">standard_name_table : https://zenodo.org/record/8276716</li>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/time-11306924000\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/time-11306928900\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/time-11306928900\">time</label>\n", + " <ul id=\"ds-1-/time-11862989800\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/time-11862992400\" class=\"h5tb-varname-in\" type=\"checkbox\" checked>\n", + " <label class='h5tb-varname' for=\"ds-2-/time-11862992400\">time</label>\n", " <span class=\"h5tb-dims\">(1000) [float64]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">standard_name : time</li><li style=\"list-style-type: none; font-style: italic\">units : ms</li>\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/u-11307469600\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/u-11307473900\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/u-11307473900\">u</label>\n", + " <ul id=\"ds-1-/u-11863385600\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/u-11863388200\" class=\"h5tb-varname-in\" type=\"checkbox\" checked>\n", + " <label class='h5tb-varname' for=\"ds-2-/u-11863388200\">u</label>\n", " <span class=\"h5tb-dims\">(time: 1000) [float64]</span>\n", - " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">standard_name : x_velocity</li><li style=\"list-style-type: none; font-style: italic\">units : m/s</li>\n", + " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">standard_name : x_velocity</li><li style=\"list-style-type: none; font-style: italic\">units<a href=\"http://qudt.org/schema/qudt/Unit\"><img src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/iri_icon.png?raw=true\" alt=\" [IRI]\" width=\"16\" height=\"16\" /></a> : m/s</li>\n", " </ul>\n", " </ul>\n", "</li>\n", @@ -376,7 +377,7 @@ "\n", "with h5tbx.File(filename, mode='r') as h5:\n", " # inspect the file layout and content:\n", - " h5.dump()" + " h5.dump(collapsed=False)" ] }, { @@ -751,52 +752,53 @@ " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'u' (time: 1000)>\n", - "13.58 6.293 11.32 8.755 9.991 7.003 12.74 ... 8.022 9.582 12.16 9.29 8.712 11.78\n", + "7.485 10.87 10.26 12.18 10.72 6.698 ... 8.194 9.505 9.478 11.63 9.159 11.23\n", "Coordinates:\n", " * time (time) float64 0.0 0.001001 0.002002 0.003003 ... 0.998 0.999 1.0\n", "Attributes:\n", + " IRI_NAME: {'units': 'http://qudt.org/schema/qudt/Unit'}\n", " standard_name: x_velocity\n", - " units: m/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'u'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-30787ff4-a61f-49b6-857e-a0202cba6a19' class='xr-array-in' type='checkbox' ><label for='section-30787ff4-a61f-49b6-857e-a0202cba6a19' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>13.58 6.293 11.32 8.755 9.991 7.003 ... 9.582 12.16 9.29 8.712 11.78</span></div><div class='xr-array-data'><pre>array([13.58428867, 6.29263315, 11.32102774, 8.75487943, 9.99112662,\n", - " 7.00308307, 12.73846928, 10.80790612, 11.0065066 , 9.68035436,\n", - " 6.07428882, 9.14308281, 4.88533288, 10.81999528, 7.80469493,\n", - " 9.99816972, 9.08187459, 6.81080795, 9.78555662, 9.10379187,\n", - " 10.80081249, 11.08284597, 12.34976715, 9.95741184, 13.7715182 ,\n", - " 12.39078771, 9.61585831, 9.05320634, 14.52798795, 11.95881073,\n", - " 10.96585561, 9.05427948, 7.9573263 , 6.12842582, 10.88925678,\n", - " 4.87393022, 9.90121589, 12.08649726, 8.8233991 , 10.4846562 ,\n", - " 8.15341122, 9.63669461, 11.86101165, 12.29273076, 11.68528102,\n", - " 11.30849193, 12.07469449, 8.44539895, 7.64781367, 9.52875493,\n", - " 5.48547659, 11.53836629, 12.69073273, 5.49028484, 11.29882011,\n", - " 11.04020038, 11.27544859, 5.46960868, 10.66266019, 12.14757209,\n", - " 11.83076911, 8.14438878, 9.60234548, 11.58607042, 9.47458866,\n", - " 9.62579705, 8.54550758, 10.95758824, 11.62272455, 11.08045115,\n", - " 10.36994843, 8.39425322, 9.28330099, 10.91303562, 7.63327141,\n", - " 10.77941147, 11.3535649 , 11.10725034, 7.73365622, 9.82448998,\n", - " 9.11270378, 7.99870607, 11.20388076, 9.70093465, 12.36094502,\n", - " 11.76903808, 9.53055917, 11.06863909, 13.15808002, 12.24088921,\n", - " 10.52233513, 9.00108756, 8.57797361, 10.85164211, 6.66603182,\n", - " 8.30337433, 8.89698738, 6.16376015, 9.00138502, 10.83964941,\n", + " units: m/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'u'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6a022fa9-e72e-49af-b5f9-f5fb80e5f3b2' class='xr-array-in' type='checkbox' ><label for='section-6a022fa9-e72e-49af-b5f9-f5fb80e5f3b2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.485 10.87 10.26 12.18 10.72 6.698 ... 9.505 9.478 11.63 9.159 11.23</span></div><div class='xr-array-data'><pre>array([ 7.48497864, 10.86817445, 10.26027072, 12.17823118, 10.71681256,\n", + " 6.69809217, 10.57577561, 12.29301341, 7.71022308, 9.37689608,\n", + " 11.95378593, 9.87360123, 9.39136876, 10.49679659, 11.99628692,\n", + " 10.41567966, 11.98624479, 7.94058886, 9.37480746, 9.28881553,\n", + " 8.26662972, 12.0374457 , 8.92814017, 7.4523262 , 7.92514086,\n", + " 11.28645547, 10.71826775, 7.86309569, 9.61540144, 7.15036214,\n", + " 10.71810343, 10.18984293, 10.06357682, 12.86756274, 10.48629335,\n", + " 10.82688122, 9.27508416, 6.90639297, 12.64664649, 9.43636059,\n", + " 11.41995833, 10.89712897, 9.78409895, 6.5557378 , 11.96890957,\n", + " 11.19799623, 10.18842169, 9.27465866, 12.93692939, 12.76811257,\n", + " 7.80543725, 9.26608734, 7.50707025, 9.11613354, 6.77673696,\n", + " 14.65047019, 9.07367551, 8.91504298, 13.99382505, 12.79570946,\n", + " 14.70024865, 7.17875697, 10.88248341, 10.74297769, 11.22500059,\n", + " 11.52457916, 7.5967659 , 8.93449671, 8.95919144, 10.91320714,\n", + " 6.50315597, 8.67340689, 9.06173622, 9.13756245, 12.06545967,\n", + " 11.63003334, 7.48219391, 10.74904655, 8.97926827, 11.11227247,\n", + " 8.75399939, 9.26676403, 11.79542118, 8.84214985, 9.24029937,\n", + " 8.42535421, 7.00627606, 10.43650562, 10.26139715, 10.35698448,\n", + " 12.37142257, 9.10748797, 11.06086044, 9.37444043, 10.02514678,\n", + " 8.96665927, 7.92137203, 7.97769225, 14.67148466, 10.65633023,\n", "...\n", - " 10.21489022, 11.07845638, 9.01983399, 11.12133194, 12.66426815,\n", - " 11.27483707, 9.67193334, 7.38041431, 10.27474477, 11.44318833,\n", - " 11.70311895, 12.27769817, 7.16699673, 11.90195313, 11.98957676,\n", - " 14.81368726, 14.02400115, 11.16456503, 9.99295316, 8.85716504,\n", - " 11.18402982, 9.5456953 , 12.0465148 , 11.07719908, 10.20757835,\n", - " 9.23997004, 10.91360967, 6.31114084, 10.18846074, 11.87856658,\n", - " 11.31483356, 10.77589539, 11.86160624, 9.73273495, 9.97141248,\n", - " 8.68254519, 14.59323866, 8.03235102, 9.56836485, 9.90417313,\n", - " 13.15441414, 8.82472307, 8.60353177, 7.70535098, 7.18386621,\n", - " 12.82299489, 11.21684885, 10.21268532, 9.53040029, 7.76446234,\n", - " 12.25849959, 9.99632302, 8.00471781, 11.74707049, 10.22693399,\n", - " 10.64740233, 10.33450056, 7.66385578, 9.8116048 , 9.80735264,\n", - " 9.42084423, 11.74637246, 11.32264245, 8.54986936, 10.72948161,\n", - " 11.34069091, 9.45689972, 10.41942426, 10.79285571, 12.89011559,\n", - " 12.40974975, 9.96886263, 10.75850498, 6.40052341, 11.55962567,\n", - " 14.5141703 , 7.83338789, 11.61364177, 10.34996674, 12.3463508 ,\n", - " 8.71278904, 10.58140518, 8.81739251, 8.27732055, 9.18835729,\n", - " 12.95765124, 7.65021286, 9.62341758, 10.82271889, 10.23706294,\n", - " 9.35099652, 8.98582565, 9.4529064 , 10.03698843, 8.0222475 ,\n", - " 9.58179881, 12.15802165, 9.28985221, 8.7117033 , 11.7847544 ])</pre></div></div></li><li class='xr-section-item'><input id='section-4676cbda-c681-4a86-96a1-70286ff992cf' class='xr-section-summary-in' type='checkbox' checked><label for='section-4676cbda-c681-4a86-96a1-70286ff992cf' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.001001 0.002002 ... 0.999 1.0</div><input id='attrs-f4e44254-2350-4321-abcd-aa8b477e10f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e44254-2350-4321-abcd-aa8b477e10f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f9cab41-1b40-42cb-979e-5103a1f4696a' class='xr-var-data-in' type='checkbox'><label for='data-0f9cab41-1b40-42cb-979e-5103a1f4696a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>ms</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0.001001, 0.002002, ..., 0.997998, 0.998999, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f25559cc-db5d-4729-a2cb-611f8be73a54' class='xr-section-summary-in' type='checkbox' ><label for='section-f25559cc-db5d-4729-a2cb-611f8be73a54' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95e53a08-6a83-4acc-980e-65155cea8286' class='xr-index-data-in' type='checkbox'/><label for='index-95e53a08-6a83-4acc-980e-65155cea8286' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0, 0.001001001001001001, 0.002002002002002002,\n", + " 7.59005941, 11.02716576, 4.4763284 , 11.27441132, 8.81420443,\n", + " 7.37523224, 11.06295504, 13.71897591, 9.89690891, 9.33787887,\n", + " 9.78818207, 10.09487193, 7.42753639, 8.8494769 , 13.69786463,\n", + " 11.13389031, 8.64759407, 12.09016282, 8.21233058, 10.49591636,\n", + " 9.00161929, 12.05589561, 9.69188371, 13.28516772, 7.7928564 ,\n", + " 8.09465214, 9.76268269, 8.78325131, 10.38286108, 10.37469326,\n", + " 13.84396981, 11.04035045, 10.23987082, 6.76306051, 7.98926874,\n", + " 9.53005192, 11.74006071, 9.67703818, 6.65031821, 8.13288975,\n", + " 13.0124765 , 8.60722424, 11.68754425, 9.23619459, 8.52107296,\n", + " 10.96160587, 11.91435046, 11.78803874, 9.16813868, 10.35007916,\n", + " 11.47143857, 13.00761636, 6.87153082, 9.45344002, 5.58553584,\n", + " 6.26622456, 9.68895282, 8.8806407 , 7.82030175, 9.98939031,\n", + " 11.17625032, 6.87073952, 8.76304681, 9.61772092, 11.11780221,\n", + " 11.29233662, 4.30110249, 6.50130028, 11.89752328, 9.54533346,\n", + " 6.92586142, 12.27988981, 10.99778375, 11.86289942, 11.82398257,\n", + " 11.82840821, 7.68436168, 9.30072015, 8.37034984, 10.6131947 ,\n", + " 7.47201027, 9.47028779, 2.60465337, 10.08948132, 6.55621403,\n", + " 10.49178893, 10.5467962 , 9.61070819, 7.92224219, 10.37719123,\n", + " 12.91207822, 9.54915986, 9.3194644 , 9.65949214, 8.19369314,\n", + " 9.50456218, 9.47848842, 11.62802653, 9.1589327 , 11.23465067])</pre></div></div></li><li class='xr-section-item'><input id='section-2570e9ed-b4e9-43b4-9e52-378ba85742d8' class='xr-section-summary-in' type='checkbox' checked><label for='section-2570e9ed-b4e9-43b4-9e52-378ba85742d8' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.001001 0.002002 ... 0.999 1.0</div><input id='attrs-672db29c-543b-4bae-8ee1-431261a500f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672db29c-543b-4bae-8ee1-431261a500f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-064401ae-4542-4865-82d5-84a090c929ca' class='xr-var-data-in' type='checkbox'><label for='data-064401ae-4542-4865-82d5-84a090c929ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>ms</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0.001001, 0.002002, ..., 0.997998, 0.998999, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88f62b30-9240-46ec-8eec-21daa63f5281' class='xr-section-summary-in' type='checkbox' ><label for='section-88f62b30-9240-46ec-8eec-21daa63f5281' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3094c0ac-9ab2-4ea8-b3e3-8a9b0354b491' class='xr-index-data-in' type='checkbox'/><label for='index-3094c0ac-9ab2-4ea8-b3e3-8a9b0354b491' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0, 0.001001001001001001, 0.002002002002002002,\n", " 0.003003003003003003, 0.004004004004004004, 0.005005005005005005,\n", " 0.006006006006006006, 0.007007007007007007, 0.008008008008008008,\n", " 0.009009009009009009,\n", @@ -805,14 +807,15 @@ " 0.993993993993994, 0.994994994994995, 0.995995995995996,\n", " 0.996996996996997, 0.997997997997998, 0.998998998998999,\n", " 1.0],\n", - " dtype='float64', name='time', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42e7908d-bd9c-489e-8e7c-52638adccc85' class='xr-section-summary-in' type='checkbox' checked><label for='section-42e7908d-bd9c-489e-8e7c-52638adccc85' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>x_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div></li></ul></div></div>" + " dtype='float64', name='time', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-544d9ccf-e15a-4811-a2f5-a6d56a912512' class='xr-section-summary-in' type='checkbox' checked><label for='section-544d9ccf-e15a-4811-a2f5-a6d56a912512' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>IRI_NAME :</span></dt><dd>{'units': 'http://qudt.org/schema/qudt/Unit'}</dd><dt><span>standard_name :</span></dt><dd>x_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.DataArray 'u' (time: 1000)>\n", - "13.58 6.293 11.32 8.755 9.991 7.003 12.74 ... 8.022 9.582 12.16 9.29 8.712 11.78\n", + "7.485 10.87 10.26 12.18 10.72 6.698 ... 8.194 9.505 9.478 11.63 9.159 11.23\n", "Coordinates:\n", " * time (time) float64 0.0 0.001001 0.002002 0.003003 ... 0.998 0.999 1.0\n", "Attributes:\n", + " IRI_NAME: {'units': 'http://qudt.org/schema/qudt/Unit'}\n", " standard_name: x_velocity\n", " units: m/s" ] @@ -835,7 +838,7 @@ "outputs": [ { "data": { - 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", 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", "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -859,7 +862,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "<Figure size 400x300 with 1 Axes>" ] @@ -879,9 +882,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 4. Sharing your data\n", - " - The toolbox currently supports storing and querying data to [mongoDB](https://www.mongodb.com/) or to a local file repository.\n", - " - Refer to the [documentation on how to use the mongoDB](https://h5rdmtoolbox.readthedocs.io/en/latest/database/h5mongo.html). For the sake of the example, we do nothing here, as we continue with our local file directory (in our case, this is the temporary directory where we created the file, see above)" + "# 4. Sharing your data on a repository\n", + "Currently, only the interface class to [Zenodo](https://zenodo.org/) is implemented. It is a popular choice to publish open access data. To create and upload data, you must generate an API token. If you don't have it, skip the next step." ] }, { @@ -890,8 +892,15 @@ "metadata": {}, "outputs": [], "source": [ - "# HDF5 file may be moved to another location or into a mongoDB...\n", - "# NOT part of this short tutorial" + "from h5rdmtoolbox.repository import zenodo\n", + "from h5rdmtoolbox.repository.h5metamapper import hdf2json\n", + "\n", + "zenodo.set_api_token('replace with your token')\n", + "repo = zenodo.ZenodoSandboxDeposit(None) # create a new one are provide the record ID.\n", + "# The method \"upload_hdf_file\" requires a mapper function which creates an additional file which only contains metadata of the file.\n", + "# If the HDF5 file is verly large, the user can first download the metadata file (in our case a json file) and inspect the metadata before\n", + "# downloading the full file\n", + "repo.upload_hdf_file(filename, metamapper=hdf2json)" ] }, { @@ -912,7 +921,7 @@ { "data": { "text/plain": [ - "<Folder (root=\".\", nfiles=1, recursive=True)>" + "<h5rdmtoolbox.database.hdfdb.filedb.FileDB at 0x168be4998e0>" ] }, "execution_count": 11, @@ -921,7 +930,7 @@ } ], "source": [ - "fdb = h5tbx.database.Folder('.')\n", + "fdb = h5tbx.database.FileDB(filename)\n", "fdb" ] }, @@ -940,7 +949,7 @@ { "data": { "text/plain": [ - "<LDataset \"/u\" in \"my_file.hdf\" attrs=(standard_name=x_velocity, units=m/s)>" + "<LDataset \"/u\" in \"my_file.hdf\" attrs=(units=m/s, standard_name=x_velocity)>" ] }, "execution_count": 12, @@ -968,7 +977,7 @@ { "data": { "text/plain": [ - "[<matplotlib.lines.Line2D at 0x1fa94bf6be0>]" + "[<matplotlib.lines.Line2D at 0x168be54ae50>]" ] }, "execution_count": 13, @@ -977,7 +986,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -989,6 +998,13 @@ "source": [ "result[:].plot()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/docs/database/hdfDB.ipynb b/docs/database/hdfDB.ipynb index 4a5fa79a..37780eb4 100644 --- a/docs/database/hdfDB.ipynb +++ b/docs/database/hdfDB.ipynb @@ -29,7 +29,7 @@ ], "source": [ "import h5rdmtoolbox as h5tbx\n", - "from h5rdmtoolbox.database import hdfDB\n", + "from h5rdmtoolbox.database import FileDB\n", "from h5rdmtoolbox import tutorial\n", "\n", "h5tbx.use(None)" @@ -246,25 +246,25 @@ "\n", " <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n", " <li>\n", - " <input id=\"group-ds--4645251300\" type=\"checkbox\" checked>\n", - " <label style=\"font-weight: bold\" for=\"group-ds--4645251300\">\n", + " <input id=\"group-ds--7127246700\" type=\"checkbox\" checked>\n", + " <label style=\"font-weight: bold\" for=\"group-ds--7127246700\">\n", " /<span>(4)</span></label>\n", " \n", "\n", - " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">__h5rdmtoolbox_version__ : 1.0.0</li><li style=\"list-style-type: none; font-style: italic\">check_value : 0</li><li style=\"list-style-type: none; font-style: italic\">contact : {\"name\": \"John Doe\", \"surname\": \"Doe\"}</li><li style=\"list-style-type: none; font-style: italic\">project : tutorial</li><li style=\"list-style-type: none; font-style: italic\">timestamp : 2023-12-17T18:59:25.756158</li>\n", + " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">__h5rdmtoolbox_version__ : 1.0.0</li><li style=\"list-style-type: none; font-style: italic\">check_value : 0</li><li style=\"list-style-type: none; font-style: italic\">contact : {\"name\": \"John Doe\", \"surname\": \"Doe\"}</li><li style=\"list-style-type: none; font-style: italic\">project : tutorial</li><li style=\"list-style-type: none; font-style: italic\">timestamp : 2023-12-18T14:51:29.913044</li>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/pressure1-4648510000\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/pressure1-4648513300\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/pressure1-4648513300\">pressure1</label>\n", + " <ul id=\"ds-1-/pressure1-7131603800\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/pressure1-7131608200\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/pressure1-7131608200\">pressure1</label>\n", " <span class=\"h5tb-dims\">(10) [float64]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : -140.3</li><li style=\"list-style-type: none; font-style: italic\">standard_name : pressure</li><li style=\"list-style-type: none; font-style: italic\">units : Pa</li>\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/velocity-4649031600\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/velocity-4649034000\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/velocity-4649034000\">velocity</label>\n", + " <ul id=\"ds-1-/velocity-7132275800\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/velocity-7132279600\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/velocity-7132279600\">velocity</label>\n", " <span class=\"h5tb-dims\">(3) [int32]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : 14.2</li><li style=\"list-style-type: none; font-style: italic\">standard_name : velocity</li><li style=\"list-style-type: none; font-style: italic\">units : m/s</li>\n", " </ul>\n", @@ -272,17 +272,17 @@ "\n", " <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n", " <li>\n", - " <input id=\"group-ds-group1-4649345800\" type=\"checkbox\" >\n", - " <label style=\"font-weight: bold\" for=\"group-ds-group1-4649345800\">\n", + " <input id=\"group-ds-group1-7132744500\" type=\"checkbox\" >\n", + " <label style=\"font-weight: bold\" for=\"group-ds-group1-7132744500\">\n", " group1<span>(1)</span></label>\n", " \n", "\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : 0</li>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/group1/velocity-4649838600\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/group1/velocity-4649840900\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/group1/velocity-4649840900\">velocity</label>\n", + " <ul id=\"ds-1-/group1/velocity-7133516100\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/group1/velocity-7133520100\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/group1/velocity-7133520100\">velocity</label>\n", " <span class=\"h5tb-dims\">(5) [int32]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">standard_name : velocity</li><li style=\"list-style-type: none; font-style: italic\">units : m/s</li>\n", " </ul>\n", @@ -292,33 +292,33 @@ "\n", " <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n", " <li>\n", - " <input id=\"group-ds-group2-4650075000\" type=\"checkbox\" >\n", - " <label style=\"font-weight: bold\" for=\"group-ds-group2-4650075000\">\n", + " <input id=\"group-ds-group2-7133909500\" type=\"checkbox\" >\n", + " <label style=\"font-weight: bold\" for=\"group-ds-group2-7133909500\">\n", " group2<span>(3)</span></label>\n", " \n", "\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : 0</li>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/group2/pressure2-4651006100\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/group2/pressure2-4651008400\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/group2/pressure2-4651008400\">pressure2</label>\n", + " <ul id=\"ds-1-/group2/pressure2-7135394500\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/group2/pressure2-7135398400\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/group2/pressure2-7135398400\">pressure2</label>\n", " <span class=\"h5tb-dims\">(10) [float64]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : -10.3</li><li style=\"list-style-type: none; font-style: italic\">standard_name : pressure</li><li style=\"list-style-type: none; font-style: italic\">units : kPa</li>\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/group2/velocity-4651332300\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/group2/velocity-4651334500\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/group2/velocity-4651334500\">velocity</label>\n", + " <ul id=\"ds-1-/group2/velocity-7135960300\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/group2/velocity-7135964200\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/group2/velocity-7135964200\">velocity</label>\n", " <span class=\"h5tb-dims\">(5) [float64]</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">check_value : 30.2</li><li style=\"list-style-type: none; font-style: italic\">standard_name : velocity</li><li style=\"list-style-type: none; font-style: italic\">units : m/s</li>\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/group2/z-4651588800\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/group2/z-4651591000\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/group2/z-4651591000\">z</label>\n", + " <ul id=\"ds-1-/group2/z-7136392700\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/group2/z-7136396700\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/group2/z-7136396700\">z</label>\n", " <span class=\"h5tb-dims\">5.4 [m] (float64)</span>\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">standard_name : z_coordinate</li><li style=\"list-style-type: none; font-style: italic\">units : m</li>\n", " </ul>\n", @@ -362,14 +362,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "/group1/velocity\n", "/velocity\n", - "/group2/velocity\n" + "/group2/velocity\n", + "/group1/velocity\n" ] } ], "source": [ - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "res = db.find({'standard_name': 'velocity'})\n", "\n", "for r in res:\n", @@ -438,17 +438,17 @@ "name": "stdout", "output_type": "stream", "text": [ + "/group2/pressure2\n", "/pressure1\n", "/velocity\n", - "/group2/velocity\n", - "/group2/pressure2\n", + "/group2/z\n", "/group1/velocity\n", - "/group2/z\n" + "/group2/velocity\n" ] } ], "source": [ - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'units': {'$exists': True}})\n", "for r in results:\n", " print(r.name)" @@ -472,13 +472,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "/group1\n", - "/group2\n" + "/group2\n", + "/group1\n" ] } ], "source": [ - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'units': {'$exists': False}}, recursive=True)\n", "for r in results:\n", " print(r.name)" @@ -505,13 +505,13 @@ "output_type": "stream", "text": [ "/group2/velocity\n", - "/velocity\n", - "/group1/velocity\n" + "/group1/velocity\n", + "/velocity\n" ] } ], "source": [ - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'$name': {'$regex': '^.*/velocity$'}}, 'dataset')\n", "for r in results:\n", " print(r.name)" @@ -538,24 +538,24 @@ "output_type": "stream", "text": [ "object names with check value greater than 0.1:\n", - " /velocity\n", " /group2/velocity\n", + " /velocity\n", "\n", "object names with check value equal to 0:\n", - " /group1\n", " /group2\n", + " /group1\n", " /\n", "\n", "object names with check value lower equal -3.3:\n", - " /pressure1\n", - " /group2/pressure2\n" + " /group2/pressure2\n", + " /pressure1\n" ] } ], "source": [ "print('object names with check value greater than 0.1:')\n", "\n", - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'check_value': {'$gt': 0.1}})\n", "for r in results:\n", " print(' ', r.name)\n", @@ -597,9 +597,9 @@ "Ndim == 1:\n", " /pressure1\n", " /velocity\n", + " /group2/pressure2\n", " /group1/velocity\n", " /group2/velocity\n", - " /group2/pressure2\n", "\n", "Ndim > 2:\n" ] @@ -609,7 +609,7 @@ "with h5tbx.File(filename) as h5:\n", " print('Ndim == 1:')\n", " \n", - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'$ndim': {'$eq': 1}}, 'dataset')\n", "for r in results:\n", " print(' ', r.name)\n", @@ -671,13 +671,13 @@ "Checking if basename of object name \"/pressure1\" is matching pattern \"^.*/velocity$\"\n", "Checking if basename of object name \"/velocity\" is matching pattern \"^.*/velocity$\"\n", "/group2/velocity\n", - "/velocity\n", - "/group1/velocity\n" + "/group1/velocity\n", + "/velocity\n" ] } ], "source": [ - "db = hdfDB(filename)\n", + "db = FileDB(filename)\n", "results = db.find({'$name': {'$basename': 'velocity'}}, 'dataset')\n", "\n", "for r in results:\n", @@ -696,23 +696,23 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "39bc56e7-19b4-489f-abbd-f343976777d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[<matplotlib.lines.Line2D at 0x148d232be80>]" + "[<matplotlib.lines.Line2D at 0x1de6fcca0a0>]" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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NkT+ZeCxcJQg/6WZTQG9HAxRPbp5++mnk5eXBZDJh8eLFKCsrG/X2Tz75JGbOnImYmBjk5ubi/vvvR19f+Ga1Ujs4O6aIwle1fKZUZE8mHg1XCcJPSX4ysiwmjFRNI8BbD1WSnxzKsKKCosnNtm3bUFpainXr1mH//v2YO3culi1bhqampmFv/9JLL+HBBx/EunXrcPjwYTz33HPYtm0bfvjDH4Y4ct9JHVNHGmxc7iUKQ26PiKNNkX1gpi+4ShB+tBoB65YXDPs1KeFZt7yAxcTjoGhy88QTT+COO+7AqlWrUFBQgM2bNyM2NhbPP//8sLf/4IMPcMkll+DGG29EXl4errjiCqxYsWLM1R4l5afEIdagRZ/Tg+PNXUqHQ0TnON3Wgz6nBwadBpNTorNTCuAqQbi6ck4W7v/ijPOuZ1pM2HTzfHawjZNiyY3D4cC+ffuwdOnSgWA0GixduhR79uwZ9j4XX3wx9u3bJyczx48fxz//+U986UtfCknM46HRDBQV8xgGovAjbUlNT4+P6nfIg1cJRvpTcpVAGbH9Y0IsMXr5v//5/uVMbCZAseSmpaUFbrcbGRlDJ2VmZGSgoaFh2PvceOONePjhh3HppZdCr9dj6tSpuOyyy0bdlrLb7bDZbEM+Qq2Qw/yIwlY0HrswkivnZGHTzfORaRm69ZQYo+cqgYIOnPF2065cMhkGrQbWXifOtPcqHFVkU7yg2B+7d+/Go48+imeeeQb79+/H3/72N+zYsQM//vGPR7zPhg0bYLFY5I/c3NwQRuxVwHZworBV1X/sQrQcmDmWK+dk4b0ffB5/uuMifHZ6KgDg2gtzmNgoqKLO+9qwYHISiid5O2zZtTYxiiU3qamp0Gq1aGxsHHK9sbERmZmZw97noYcewje/+U3cfvvtKCoqwle/+lU8+uij2LBhAzwez7D3WbNmDaxWq/xx+vTpgP9ZxjK4HVwUWVRMFE7kYxcyo7dT6lxajYAlU1NwzbwcAOzmVJKtz4njLd0AgKIci1zzVHaCyc1EKJbcGAwGLFiwALt27ZKveTwe7Nq1C0uWLBn2Pj09PdBohoas1Xr3KkdKGoxGIxISEoZ8hNr0jHjoNAI6epyjzpkgotByuj043tJ/YKZKVm4Gk1YJKs5a2c2pkEN13sQyJzEGKfFGLOpPbvYyuZkQRbelSktLsWXLFvz+97/H4cOHceedd6K7uxurVq0CAKxcuRJr1qyRb798+XJs2rQJL7/8Mmpra/HWW2/hoYcewvLly+UkJxyZ9FpMS/e+K2TdDVH4ONHSDadbRJxBi5zEGKXDCbkpafGINWjR43Czm1MhB+s6AHhXbQDv1pQgACdbe9Bo45vh8VL04MwbbrgBzc3NWLt2LRoaGjBv3jzs3LlTLjI+derUkJWaH/3oRxAEAT/60Y9QV1eHtLQ0LF++HI888ohSfwSfFWQn4EhDJw6dteKLBRlj34GIgk46U2p6hhmCoL4uIa1GwJxsC8pOtOHAGatq6o7CycH+lZui/lW0BJMeBVkJOHTWhrLaNiyfm61keBFL8YLi1atX4+TJk7Db7fjoo4+wePFi+Wu7d+/GCy+8IH+u0+mwbt06HDt2DL29vTh16hSefvppJCYmhj5wP0l1N9zbJgofcr2Nil/UpRfVg3VseFDCwTMdAAZWbgBgUR63piZK8eRGLdgOThR+qvs7paL5wMyxSHU3B/pfZCl0rL1OnGjtATA0uZGLitkxNW5MbkJEGuRX19GLjh6HwtEQEaCuGTcjkV5UD521weUevuuUguNQ/2rZpKQYJMUZ5OvSyk1VYyesPU5FYot0TG5CxBKjR26yt2CRk4qJlNfndONEq7cFd4aK2sDPlZcSB7NRB7vLg6NNLCoOpQP9yY20eiZJMxsxJTUOogh8fJKrN+PB5CaECrNYd0MULo41dcEjAomxeqTFG5UORzEajYA5/as3B8+w7iaUpDqnopzE874mrd5w3s34MLkJoQLW3RCFDWlLaoZKO6UGk+tu+tuSKTSkZHJwvY1EnnfDuptxYXITQgNFxXx3RKQ0qZhYzfU2Erljiis3IWPtceJU2/nFxJKS/pWbA2es6HW4QxpbNGByE0JSO3hNczf6nPzHSqQkeeVGxZ1SkuL+bZHD9Z1wuFhUHArSltQFybGwxOrP+3pucgwyE0xweUR8cro91OFFPCY3IZSRYERynAFuj4iq/vkaRKQM6WdwRrp6i4kluckxsMTo4XB75KSPgkuut5l0/qoNAAiCMGhrismNv5jchJAgCJx3QxQGuuwu1HX0AlDnmVLnEgRB3ho5wK2pkDj32IXhlOQlAeAwv/FgchNiUlFxZT1/gRAp5Wj/6kS62ThkvoiacVJxaEl/z8WjJTf5KQCAfSfb4eQMIr8wuQkxqe6GKzdEypGH97HeRia9yB5kx1TQtXc7cLrNu3JYOEpyMz09HpYYPXqdbr5m+InJTYgV9E8qPlLfCbdHVDgaInWqavB2Sk1PZ3IjkVZuqho62fAQZNKqTV5KLCwx5xcTSzQaAYukrSm2hPuFyU2I5afGIUavRa/TjdqWbqXDIVKlgZUbFhNLchJjkBxngNPNhodgGygmThzzthzmNz5MbkJMqxEwO8v7bpHzboiUMXiAH3kNKSpm3U1QDQzvSxjzttIhmntPtMHD1X6fMblRgFxUzD1UopBr73agqdMOAJjO5GaIYnmYX4eygUS50Y5dONecHAti9Fp09DhxrJlnf/mKyY0CWFRMpBxp1WZSUgzijTqFowkvbAcPvrZuhzyGoNCHlRu9VoMLL0gEAJSx7sZnTG4UUCi3g9sgilxmJAolbkmNrLi/BuRoUxdH/geJtGozJTUOCaaRi4kHk+tumNz4jMmNAmZkmKHVCGjrdqDB1qd0OESqUsXkZkQZCUakmY1we0RU1nNlORikLb85o7SAn2vxoLobviH2DZMbBZj0WkxL83ZpHKrjLxCiUJIPzGSn1HkEQRiYd8O6m6CQtvyKRzh2YTgXXpAEnUZAvbUPZ9p7gxVaVGFyo5DBW1NEFBqiKHJbagzSvBt2TAVHRf/fqz8rNzEGrXx7HsXgGyY3CimQz5jiLxCiUGnutKOjxwmNAExN48rNcAY6pvi7KdBauuw4a+2DIAy8wfWVtDXFuhvfMLlRSAEP0CQKOaneJi8lDia9VuFowpO0QnCsuQvddpfC0USXwcXEZh+LiSUc5ucfJjcKKczy/gI5094La69T4WiI1EGqt+GW1MjSzSZkJpgginzzFWgDw/t835KSLOw/huF4czdauuwBjSsaMblRiCVWj0lJMQA4zI8oVKr7jxWYwQMzR8UTwoPDn2MXzpUYa8DM/qSc50yNjcmNgqRDNFl3QxQa0rbUTK7cjIodU8ExkZUbYOAoBm5NjY3JjYKkScVcuSEKPlEUcVTulGIx8WjYMRV4TZ19aLCNr5hYsmjQvBsaHZMbBbEdnCh06jp60e1wQ68VkJcap3Q4YU1aWTje3I3OPtYEBoLUAj41LR5x4zz2o6S/qLjyrI3flzEwuVGQ1DF1tKkLfU6OOicKJmm+zdS0eOi1/NU3mpR4I3ISvTWBFRw0GhDy8L5xbkkBQKbFhNzkGHhEYN/J9kCFFpX4E66gLIsJSbF6uD0Dg8WIKDiqGtgp5Q953k1dh7KBRIkKuZh4/MkNAJTkpQDg1tRYmNwoSBAE1t0QhUg16238ItfdcJhfQByYYDGxpCTf2xK+t5YrN6NhcqOwQg7zIwqJqgYeu+CP4pxEAGwHD4RGWx+aOu3QCAPlCOMlDfMrP9PBcoZRMLlRGI9hIAo+t0fEsWbpwEwmN76QVhhOtvbA2sPi1YmQWsCnpccj1jC+YmJJfmocUuONcLg8XFUbBZMbhUkrN0caOuH28Ch7omA42doNh8sDk16D3KRYpcOJCJZYPSaneP+uuHozMfLwvv7VsIkQBGFga4p1NyNicqOw/NR4mPQa9DjcONHarXQ4RFFJqreZnm6GRiMoHE3kkFZvDrCoeEIGkpuJbUlJ5HOmOKl4RExuFKbVCJiVybobomBip9T48ITwiRNFcULHLgxHSm72nWzniv8ImNyEgULW3RAFVXVT/7ELmeyU8od0QjhrO8av0WZHs1RMnBWYlZvZWQkwG3XosrtwmENgh8XkJgywHZwouKrZKTUuUnJT19GLtm6HwtFEpgP953PNyDAjxqANyGNqNQIW9J8Szq2p4TG5CQNSx1TlWRtEkUuMRIFkd7lR2+KtZ2OnlH8STHpM6T+qgkXF4yMP75vgfJtzSVtTLCoeHpObMDAr0wytRkBrtwONNrvS4RBFldqWbrg8IsxGHTITTEqHE3GKJvGE8Ik4EKDJxOeSTwivbeOb4mEwuQkDJr0WU9O8744q6/nuiCiQqhv7i4kzzRAEdkr5q4h1N+MmimLQVm6KJ1lg0GnQ2u3A8RZ22p6LyU2YkOpuDvGQOqKAYr3NxBT3d/hwW8p/9dY+tHQ5oNUImB2gYmKJUafFvNxEAMBe1t2ch8lNmJCq6NkOThRYVf0zbmbyTKlxKcxOgCB4X6ibOvuUDieiSAnhjAwzTPrAFBMPViLNu2HdzXmY3IQJqR28km19RAE1cGAmV27GI86ow7Q0b2JYwdUbvxw8E9jhfecaXHdDQzG5CRNSx9Spth7Y+niOC1Eg9DrcONXWA8Bbc0PjwxPCxyfQw/vONX9yEjQCcKa9F/XW3qA8R6RichMmEmMNyEmMAcB5N0SBcqypC6IIpMQZkBpvVDqciFWcw0nF/hoymTjAxcSSeKNOrtfk6s1QPh1PWlpa6vcD/+hHP0JycrLf91OzguwE1HX0ovKsDRdNSVE6HKKIV8UtqYCQVh4O1FkhiiK7znwgDT7UaQTMCuKq4aK8ZByss6Kstg3XzMsJ2vNEGp+SmyeffBJLliyBwWDw6UHfe+89rF69msmNnwqzE/BWZSOLiokCZKDehsXEE1GQlQCtRkBzpx2NNjsyLZwXNBapPmlmZnCKiSUl+cl4/v1aDvM7h0/JDQC8+uqrSE9P9+m2ZjPfJY3HQMcUl36JAqFKagNnvc2ExBi0mJ4ejyMNnThwpgOZlkylQwp7B84Ed0tKsqj/GIbqxi60dzuQFOfbIkS086nm5ne/+x0sFt+/Qb/5zW+QkZEx7qDUqrD/h+BYUxfsLrfC0RBFvqNyGziTm4mSXqQ578Y3B4M0mfhcKfFGeQjsxyfbg/pckcSn5OaWW26B0eh7Md6NN96IuLi4cQelVtkWExJj9XB5RBztn6pKRONj63PirNU7l2U6k5sJK2bHlM9CUUw82EBLeGvQnytSsFsqjAiCIM+74dYU0cRIqzZZFhMsMXqFo4l8RYMmFfMso9Gdae9FR48Teq0QksNa5eTmBFduJH4nN263G7/4xS9QUlKCzMxMJCcnD/mgieGkYqLAqGrwrn5y1SYwZmWaodMIaOt2yCtiNLyDg4qJjbrgFRNLpBPCD9VZ0eNwBf35IoHfyc369evxxBNP4IYbboDVakVpaSm+9rWvQaPR4H//93+DEKK6SDMLOOuGaGKqeexCQJn0WnkVgieEj26gmDgxJM83KSkW2RYTXB4Rn5zqCMlzhju/k5sXX3wRW7Zswf/8z/9Ap9NhxYoVePbZZ7F27Vp8+OGHwYhRVaRtqcP1Nng8XPolGi8euxB4rLvxjdQGXhzkYuLBFvVvTX3EYX4AxpHcNDQ0oKioCAAQHx8Pq9X7Tfzyl7+MHTt2BDY6FcpPjYNRp0G3w40TrTzGnmi85JUbtoEHjLQSwY6pkYW6mFgi1d3whHAvv5ObSZMmob6+HgAwdepUvPnmmwCAvXv3+tVRRcPTaTWYlcVDNIkmoqXLjpYuBwBgWjq3pQJl8MoNi4qHd7qtF9ZeJwxaTUhXDaUTwj853Q6HyxOy5w1Xfic3X/3qV7Fr1y4AwN13342HHnoI06dPx8qVK3HrrbcGPEA1GuiYYnJDNB7Sqs0FybGINfg8q5TGMCPDDINWA2uvE6fbeFDjcA7UdQAAZmWZYdCFriF5Wno8kmL16HN6uLIGPyYUSx577DH5/2+44QZMnjwZH3zwAaZPn47ly5cHNDi1YscU0cRIc6JYbxNYBp0Gs7PM+PSMFQfqOnBBSqzSIYUdJbakAO8okUV5yXizshF7T7RhweSkkD5/uPErrdy2bRtuuukmXHfdddi8eTMA4KKLLkJpaSkTmwCSVm4qz3Lpl2g8quR6G25JBZo0cZcnhA/vYIiOXRgO624G+JzcbNq0CStWrMDHH3+Mo0eP4q677sIDDzwQzNhUa1ZmAjQC0NLlQHOnXelwiCJOdQM7pYKluL+omB1T5xtSTBzCTimJNO9m74k21Xfb+pzcbNy4EevWrUNVVRXKy8vx+9//Hs8880wwY1OtGIMWU9O87zi5NUXkH1EU5ZUbJjeBJ71oV9RZVf8Ceq6TrT3o7HPBoAttMbGkMDsBsQYtbH0u+WdArXxObo4fP45bbrlF/vzGG2+Ey+WSO6cosAp4DAPRuDTa7Ojsc0GrETAljWfcBdr09HgYdRp02l0cV3GOA/2rNrOzEqDXhv50I51WI9fa7D2h7q0pn//27Xb7kMMwNRoNDAYDentZMR8Mct0N28GJ/CK9Y/XOjAr+6Hu10Wk18psvduUMJQ/vU6DeRiJtTZWpvO7Gr26phx56CLGxA9XxDocDjzzyCCyWgW/kE088EbjoVEw6hoHbUkT+keptZnJLKmiKcyz45FQHDpyx4pp5OUqHEzYO9B9LoUQxsWRw3Y0oihAEQbFYlORzcvPZz34WVVVVQ65dfPHFOH78uPy5Wv8Sg0FqBz/Z2gNbnxMJJp5qTOQLaeVmOs+UChrvCeEnuXIziMcj4lCd982oEsXEkgsvSIReK6DRZsepth5MTlHn1qzPyc3u3buDGAadKynOgGyLCWetfThS3ym3+BHR6I42cuUm2KRJxYfqrHB7RGg1fGN7orUbnXYXjDoNpis4Fduk16J4UiL2nWxHWW2bapMbvyueKioqRvza9u3b/Q7g6aefRl5eHkwmExYvXoyysrJRb9/R0YG77roLWVlZMBqNmDFjBv75z3/6/byRoEDemuK7IyJfeDwiqqUBfjxTKmimpsUjRq9Ft8ON2pYupcMJC9IqVkF2AnQKFBMPNnhrSq38/g4sW7YMtbW1511/5ZVXcNNNN/n1WNu2bUNpaSnWrVuH/fv3Y+7cuVi2bBmampqGvb3D4cAXv/hFnDhxAn/9619RVVWFLVu2ICcnOvd8eQwDkX/OtPei1+mGQafB5GROzw0WrUbAnBzv7yfOu/FScnjfuUryvR1Tai4q9ju5uf3227F06VI0NDTI17Zt24aVK1fihRde8OuxnnjiCdxxxx1YtWoVCgoKsHnzZsTGxuL5558f9vbPP/882trasH37dlxyySXIy8vD5z73OcydO9ffP0ZEKGByQ+QXqd5malq84u+eo10Rh/kNodSxC8NZMDkZggCcaO1BU2ef0uEowu+f/vXr1+NLX/oSli5dira2Nrz00ktYtWoV/vCHP+C6667z+XEcDgf27duHpUuXDgSj0WDp0qXYs2fPsPd57bXXsGTJEtx1113IyMjAnDlz8Oijj8Ltdvv7x4gI0srNsaZOnvJK5INqud6GxcTBJtXdsKjYux0qt4FPSlQ2GACWGD1mZXpfP/bWtiscjTLG9dbm17/+NebOnYuLLroId9xxB/70pz/h61//ul+P0dLSArfbjYyMjCHXMzIyhqwKDXb8+HH89a9/hdvtxj//+U889NBDePzxx/GTn/xkxOex2+2w2WxDPiJFTmIMLDF6ON2i/EubiEYm/Zyw3ib4pI6gQ2etcLnV/ebreEs3uh1umPQaTA2TwZEleeoe5udTt9Rrr7123rWvfe1r+M9//oMVK1ZAEAT5Nl/5ylcCG+EgHo8H6enp+O1vfwutVosFCxagrq4OP//5z7Fu3bph77NhwwasX78+aDEFkyAIKMhKwJ7jrag8a8OcMFjuJApnVZxxEzL5KXGIN+rQZXfhWHOXvFKgRtKqTWG2JWy2QxflJ+P3e07iI5XW3fiU3Fx77bUjfu3555+Xa2QEQfB5iyg1NRVarRaNjY1Drjc2NiIzM3PY+2RlZUGv10OrHZg6Onv2bDQ0NMDhcMBgMJx3nzVr1qC0tFT+3GazITc316cYw0Fhdn9yw0nFRKNyuj043uw9DoBnSgWfpr+o+MPjbThwxqrq5OZAGBUTS0r6O6aONNhg7XXCEqOuWWk+pZgej8enD39qXwwGAxYsWIBdu3YNeZ5du3ZhyZIlw97nkksuwbFjx+DxDCyBVldXIysra9jEBgCMRiMSEhKGfESSwhyeMUXki5Ot3XC4PYg1aJGTGKN0OKog1ZccVHlRcUUYFRNL0hNMyEuJhSgC+0+qr+5G0fWz0tJSbNmyBb///e9x+PBh3Hnnneju7saqVasAACtXrsSaNWvk2995551oa2vDvffei+rqauzYsQOPPvoo7rrrLqX+CEFXkOX9Yak8a+MJvESjkObbTM8wQ8OhciEhvZgfUHFRsdsjoqL/zaeSk4mHI58zpcK6G5+Sm6eeegp9fb63k23evBmdnWMXwN5www34xS9+gbVr12LevHkoLy/Hzp075SLjU6dODTl1PDc3F2+88Qb27t2L4uJi3HPPPbj33nvx4IMP+hxbpJmaFgejToNuhxun2nqUDocobA3U27BTKlSk5OZwvU21HZ21LV3ocbgRo9dialp4/dtblK/eQzR9qrm5//77sWLFCphMJp8e9Pvf/z6uuOIKmM1j73uvXr0aq1evHvZrwx35sGTJEnz44Yc+xRENdFoNZmWa8ekZKw6dtSEvNTwq8YnCjdwpxXqbkJmcEguzSYfOPheqGztV2fQg1dsUZieE3TEUi/uTmwNnOtDndMOk145xj+jhU3IjiiK+8IUvQKfz7Siq3t7eCQVFQxVkW/qTGyuuLs5SOhyisFTF5CbkBEFA8SQL3j/WioN1VlUmN/LwvjDbkgKAC5JjkW42oqnTjvLTHbhoSorSIYWMT9nKSG3WI7nmmmuQnMyDHgOFk4qJRtfndONkq3fbdiZn3IRUUU6inNysUDoYBUjF1MVhmNwIgoBF+cnYcaAeZbVtTG7O5W9yQ4ElTSpmOzjR8I43d8PtEWGJ0SPdbFQ6HFWRJxWrsGPK7RHlN53h1Ck12OL+5EZtw/zCY9oQjWp2ZgI0AtDcaVftOSFEoxk4dsEMQQivuodoJ72oH2mwwe6KzqNwRlLT3IVepxtxBi3yU8OrmFgidUztP9muqknSTG4iQIxBi/z+QmJuTRGdT663yQzPF5hoNikpBkmx3mNipI41tRgoJraEXTGxZGaGGQkmHbodblWt/jO5iRCF2QPzbohoqOoGFhMrRRAEFPUP81PbCeEVYVxMLNFoBCzMU19LOJObCCHX3TC5ITpPdROTGyUV56iz7ubAmQ4A4VtvIylR4bybcSc3DocDVVVVcLlcgYyHRjDQMaWuXx5EY+m2u3C6zTt+gsmNMqSVCzVNKna5PfI2Tziv3AADdTcfn2yHKKpj0r3fyU1PTw9uu+02xMbGorCwEKdOnQIA3H333XjssccCHiB5SdtSJ1p70GVnQkkkOdrkPXYhzWxEctzwZ8xRcEkdU9WNnehzqqOo+FhzF/qcHsQbdchPCe/hqkU5Fpj0GrR1O1DT3KV0OCHhd3KzZs0afPrpp9i9e/eQicVLly7Ftm3bAhocDUiOMyDL4v37PqyiojCisQzU27CYWCmZCSakxhvh9oiqKVodPJk43M8yM+g0mJebCAD4SCVbU34nN9u3b8fGjRtx6aWXDmm5LCwsRE1NTUCDo6GkuptDKlr6JRoLj11QnjSpGFBP3Y1UTByOw/uGU5LvHeC3l8nN8Jqbm5Genn7e9e7ubs6XCLKCLA7zIzpX1aAZN6Qc6egFtXRMSX/OSDlyoqS/7mbviXaFIwkNv5ObhQsXYseOHfLnUkLz7LPPYsmSJYGLjM5T0F93w1k3RAPklRseu6AouWOqrkPZQELA6fbI5QHF/W3w4e7CCxKh1Qio6+jFmfYepcMJOt9Owhzk0UcfxVVXXYXKykq4XC786le/QmVlJT744AO88847wYiR+knbUtWNnXC4PDDo2MlP6mbtcaLRZgcATE9nzY2SpI6hY01d6La7EGf0++UlYhxt7ILd5YHZqMPk5Filw/FJnFGHOTkWfHq6A3tPtGFSUmTEPV5+vzpeeuml+PTTT+FyuVBUVIQ333wT6enp2LNnDxYsWBCMGKnfpKQYJJh0cLpFHG1S1yRQouFI821yEmNgNukVjkbdMhJMyEgwwiNG/9a5VG8zJ8cS9sXEg5XkJQEAymqjf2vKr+TG6XTi1ltvhSAI2LJlC8rKylBZWYmtW7eiqKgoWDFSP0EQ5Hk3HOZHBHncPzulwkNRTiKA6C8qPtC/9Rbu823OtUiuu4n+omK/khu9Xo9XXnklWLGQDwpZd0MkY71NeJE7pqK8o/NgXXifBD4SKbk51tSF1i67wtEEl9/bUtdeey22b98ehFDIF3LHFJMbInnlhp1S4UGeVNx/LEE0crgGFxNHVnKTFGeQVzmjvWvK74qv6dOn4+GHH8b777+PBQsWIC5u6GTGe+65J2DB0fkKcwbawT0eMaL2e4kCSRRFzrgJM9JKxvGWbnT2OaOyDkpq6Egw6XBBhBQTD7YoLxnVjV3Ye6INV87JVDqcoPE7uXnuueeQmJiIffv2Yd++fUO+JggCk5sgm5oWD4NOgy67C6fbezA5zMd+EwVLS5cD7T1OCAIwjZ1SYSE13oicxBjUdfTi0FkbLpqSonRIATf4JPBInO1Wkp+MFz86FfV1N34nN7W1tcGIg3yk12owK9OMA2esOHTWxuSGVEtatclLiYNJr1U4GpIU5VhQ19GLg2esUZncHKiLrOF955LqbirqrOiyuxAfpS37HJQSgVh3Q8ROqXAV7SeEy8cu9HeGRZrsxBhMSoqBRwT2n4zeuhu/U7Zbb7111K8///zz4w6GfCOfMXU2On95EPmC9TbhaeCMqQ5lAwkCh8uDI/Xef3eR1ik1WEleMs6012HviTZ8dkaa0uEEhd/JTXv70EzP6XSioqICHR0d+PznPx+wwGhkPIaBiMlNuJJe9E+09sDa44QlNnqKiqsbO+Fwe2CJ0SM3OUbpcMZtUX4y/vZJXVSfEO53cvPqq6+ed83j8eDOO+/E1KlTAxIUjW5WphmCADR12tHcaUea2ah0SEQh5e2U6gIAzOSMm7CSGGtAbnIMTrf1ouKsFZdMS1U6pICRDsssyonMYmJJSb637qb8dAfsLjeMuuirWQtIzY1Go0FpaSl++ctfBuLhaAxxRh3yU72FxNE+5pxoOGetfeiyu6DXCshjUX3YkepRou2E8IODOqUi2ZTUOKTGG+BweaJ2mnTACopramrgcrkC9XA0hoFJxdH5D5NoNNX9xcRTUuN5gGwYKpoUnSeES3+e4giutwG8Y1sWTvau3pRFaUu439tSpaWlQz4XRRH19fXYsWMHbrnlloAFRqMryErA65+eZd0NqZJUbzOdnVJhSXrxj6aVG7vLLXfoRWob+GCL8pOx81ADymrb8N3LlI4m8PxObj755JMhn2s0GqSlpeHxxx8fs5OKAkfqmDrM5IZUqKqRxy6Es8L+F/8z7b1o73YgKc6gcEQTV9XQCadbRFKsHpOSIreYWLK4v+5m34l2uD0itFE27d7v5Obtt98ORhzkJym5qW3tRrfdhbgoHcRENBwemBneLDF65KfGobalGwfrrFHRbiytQs2J8GJiyeysBMQbdei0u3CkwSaXOkQLvzere3t70dPTI39+8uRJPPnkk3jzzTcDGhiNLiXeiMwEE0QR8iFuRGrg9og4KnVKceUmbEkt4dFyQrg8vC/Ci4klWo2A+ZOTAAB7o7Al3O/k5pprrsEf/vAHAEBHRwdKSkrw+OOP45prrsGmTZsCHiCNrCB74BBNIrU41dYDu8sDo06D3Ag8uFAtiqPshPDBbeDRoiTPm9xEY1Gx38nN/v378ZnPfAYA8Ne//hWZmZk4efIk/vCHP+Cpp54KeIA0MnlScR2TG1KPwcXE0VYnEE3klZsoKCruc7rlf3dFkxKVDSaASvK9Z3+V1bZDFEWFowksv5Obnp4emM3epeA333wTX/va16DRaHDRRRfh5MmTAQ+QRiYnN/WR/8uDyFfVDZxMHAkKcywQBO9MouZOu9LhTMiRhk64PCKS4wzItpiUDidgiidZYNBq0NJlx4nWnrHvEEH8Tm6mTZuG7du34/Tp03jjjTdwxRVXAACampqQkJAQ8ABpZAVZ3ndG1Q1dcLo9CkdDFBrslIoM8UYdpqZ5W/UrIrzuRh7eFyXFxBKTXou5ud7XkbLaVoWjCSy/k5u1a9fie9/7HvLy8rB48WIsWbIEgHcV58ILLwx4gDSy3OQYmE06ONweHGvqUjocopDgmVKRI1rm3UiHgEZLMfFg0lEMZbXRdUK438nNN77xDZw6dQoff/wxdu7cKV//whe+wOMXQkwQBBRkSSeEs+6Gop/D5cHx5m4AbAOPBNEyqXhwG3i0WZTnTW72RllR8bjmlmdmZuLCCy+ERqOBzWbD9u3bYTabMWvWrEDHR2OQOqZ4DAOpwYnWbrg8IuKNuqiqfYhWAx1Tkfv7qc/pxtH+lfFoXLlZMDkJGsHbhdhg7VM6nIDxO7m5/vrrsXHjRgDemTcLFy7E9ddfj+LiYrzyyisBD5BGJw1equTKDalAlVxMHB9VtQ/RqiDLAo0ANHXa0WiLzBfOynob3B4RqfEGZCZEX0JtNukxu38HIJpawv1Obt599125FfzVV1+FKIro6OjAU089hZ/85CcBD5BGVzho1k20tfIRnUuqt5nJLamIEGPQYnq693sVqas3FVFaTDyYVHcTTcP8/E5urFYrkpO9fxE7d+7E17/+dcTGxuLqq6/G0aNHAx4gjW5aejwMWg06+1w43dardDhEQSXPuElnchMp5LqbCB3mF43D+85VEoV1N34nN7m5udizZw+6u7uxc+dOuRW8vb0dJlP0LdmFO71WgxmZ3nbLSs67oShXLR27wJWbiCHX3URoO7i8chNFw/vOtbA/ualq7ERHj0PhaALD7+Tmvvvuw0033YRJkyYhKysLl112GQDvdlVRUVGg4yMfFPbPu2HHFEWzPqcbJ1r7O6XYBh4xBk8qjrSt817HwGTiaCwmlqSZjZiSGgdRBD4+ER0t4X4nN9/97nexZ88ePP/883j//feh0XgfYsqUKay5UUhhDtvBKfoda+qCKALJcQakxhuUDod8NDsrATqNgNZuB+ojrBunst4Gj+h98c+IwmLiweS6myjZmhpXK/jChQtx9dVXo66uDi6XCwBw9dVX45JLLglocOSbgVk3kbnsS+QLqVNqejo7pSKJSa+VV9oirahYHt4XxfU2EmneTbR0TI3rbKnbbrsNsbGxKCwsxKlTpwAAd999Nx577LGAB0hjm52VAEEAGm12tHRF9hkuRCOpbmKnVKQqjtBhflKdUDQO7zuXtHJz8IwVPQ6XwtFMnN/JzZo1a/Dpp59i9+7dQwqIly5dim3btgU0OPJNnFGH/JQ4AJx3Q9GLB2ZGrqIIHeYnFRNHc72NZFJSDLIsJrg8IspPdSgdzoT5ndxs374dGzduxKWXXjpkabiwsBA1NTUBDY58NzubdTcU3dgpFbmKcxIBeA+gjJSi4h6HSz6zL5rbwCWCIETV1pTfyU1zczPS09PPu97d3c19cAUNHuZHFG06+5yo6/DOcZrBGTcRZ0amdx5XR48TZ9ojYx5X5VlvMXFGghHpUV5MLFkURUXFfic3CxcuxI4dO+TPpYTm2WeflU8Ip9CTjmFgUTFFI+lsn4wEIyyxeoWjIX8ZdVrMyoqsomI1DO87lzTMb//JDjjdHoWjmRidv3d49NFHcdVVV6GyshIulwu/+tWvUFlZiQ8++ADvvPNOMGIkH0gdU7Ut3ei2uxBn9PtbSxS2WG8T+YpyLDhwxooDdR24ujhL6XDGNHDsQqKygYTQ9PR4JMbq0dHjREWdFRdekKR0SOPm98rNpZdeik8//RQulwtFRUV48803kZ6ejj179mDBggXBiJF8kGY2It1shCgCR/pfCIiiRZV0phSTm4g1eJhfJDigomJiiUYjYOHk6Nia8iu5cTqduPXWWyEIArZs2YKysjJUVlZi69atnE4cBuS6G25NUZSRpsTOYDFxxJLPmKqzwuMJ76LiLrsLNc3erVA1tIEPVpLvXa0pq43sScV+JTd6vR6vvPJKsGKhCRqou2FRMUUXqVOK21KRa0aGGQad95Dfk209SoczqsqzNogikGUxIc1sVDqckFo06BDNcE9CR+P3ttS1116L7du3ByEUmqgCdkxRFGrrdqC50zuccnp6vMLR0HjptRq5NvBAmJ8QLsWntlUbwPtnjtFrYe11yoX8kcjvqtPp06fj4Ycfxvvvv48FCxYgLi5uyNfvueeegAVH/pG2pY40dMLp9kCvHdfpGkRhRdqSyk2OYaF8hCueZEH56Q4cPGPFNfNylA5nRPLwPhUmN3qtBvMnJ+L9Y60oO9EWsXOl/P5N8dxzzyExMRH79u3Dvn37hnxNEAQmNwrKTYqF2ahDZ/9+8azMBKVDIpqwahYTRw2pqFgq1g1X8rELKiomHmxRXrI3ualtwzcvmqx0OOPid3JTW1sbjDgoADQaAbOzElB2og2H6mxMbigqyAdmMrmJeMWTEgEAh/qLijWa8Bv82tnnRG1LNwB1zbgZTD4hvLYNoihG5IDeCe1biKIYMaO01YJ1NxRtjkrHLjC5iXhT0+IQo9ei2+HG8f4EItwc6i8mzraYkBqvrmJiyYW5SdBrBTTY+iJmovS5xpXcPPfcc5gzZw5MJhNMJhPmzJmDZ599NtCx0TgUymdMhfeyL5EvRFGUZ9ywUyry6bQa+XdUuJ4QLg/vU+mWFADEGLRyMXVZbWTOu/E7uVm7di3uvfdeLF++HH/5y1/wl7/8BcuXL8f999+PtWvXBiNG8oPUDu5tZeSqGkW2pk47rL1OaDUCpqTFjX0HCnvhfkK4FJe0haZW0lEMkZrc+F1zs2nTJmzZsgUrVqyQr33lK19BcXEx7r77bjz88MMBDZD8My09HnqtAFufC2fae5GbHKt0SETjJtXb5KXEwqTXKhwNBYI08TdcJxUflIqJVVpvIynJT8Zv3j0esZOK/V65cTqdWLhw4XnXFyxYAJfLFZCgaPwMOo28fM9hfhTpqrklFXWks5oOnbXBFWaHM9pYTCxbODkZggAcb+mW50xFEr+Tm29+85vYtGnTedd/+9vf4qabbgpIUDQxPIaBogWTm+gzJTUOcQYtep1u1DSHV1GxVG+TkxiD5DiDwtEoyxKrl4v4P47A1ZtxTcR67rnn8Oabb+Kiiy4CAHz00Uc4deoUVq5cidLSUvl2TzzxRGCiJL9IU0DZMUWRrkrqlIrQQWJ0Po1GQGGOBWW1bThwpiOsvrcVKjwsczSL8pJxpKETH9W24aqi8D/JfTC/k5uKigrMnz8fAFBTUwMASE1NRWpqKioqKuTbRWJffLQozOEZUxT5PB4RR7lyE5WK+5Obg3VWXLcwV+lwZFIxsdrrbSQl+cn444cnI7Luxu/k5u233w5GHBRAs7MSIAhAvbUPbd0O1S+vUmSq6+hFj8MNg1aDvBQWxkeTcO2Y4srNUNIwv8P1Ntj6nEgw6RWOyHdhcfjQ008/jby8PJhMJixevBhlZWU+3e/ll1+GIAi49tprgxtghIk36pCX4m2b5bwbilRSvc2UtDjoeE5aVJHarCvrbXCGSVGxtdeJE63e08rVXkwsyUgw4YLkWHhEYN/JdqXD8YvivzG2bduG0tJSrFu3Dvv378fcuXOxbNkyNDU1jXq/EydO4Hvf+x4+85nPhCjSyCLX3XBriiKUNLwvnGoyKDAmJ8fCbNLB4fLISazSDvWv2uQmxyAxlqvdksFHMUQSxZObJ554AnfccQdWrVqFgoICbN68GbGxsXj++edHvI/b7cZNN92E9evXY8qUKSGMNnIUyJOKmdxQZKpuYL1NtNJoBHl1JFzm3RyQTwJPVDaQMCMN84u0uhtFkxuHw4F9+/Zh6dKl8jWNRoOlS5diz549I97v4YcfRnp6Om677bYxn8Nut8Nmsw35UAMew0CRTuqUYnITneS6mzA5Ifwgi4mHtah/5ebT01b0Od0KR+M7RZOblpYWuN1uZGRkDLmekZGBhoaGYe/z3nvv4bnnnsOWLVt8eo4NGzbAYrHIH7m54VOZH0zSys3xlm70ODhckSKLy+1BTTMPzIxm0gpJRbgkNywmHlZeSixS441wuD349HSH0uH4TPFtKX90dnbim9/8JrZs2YLU1FSf7rNmzRpYrVb54/Tp00GOMjykm01IMxshisCRhvDY0yby1cm2HjhcHsTotZiUFKN0OBQEUhJxuN4Gu0vZFYGOHgdOtXmLiedkM7kZTBAELM6PvK2pcQ3xC5TU1FRotVo0NjYOud7Y2IjMzMzzbl9TU4MTJ05g+fLl8jWPx1tpr9PpUFVVhalTpw65j9FohNGozmPrC7MTsLuqGYfO2jD/giSlwyHy2UC9TTw0Gs7MikaTkmKQGKtHR48T1Q1dip7CXVHnLVeYnBILS2zktDuHyqK8JOw4WI+yE5HTMaXoyo3BYMCCBQuwa9cu+ZrH48GuXbuwZMmS824/a9YsHDx4EOXl5fLHV77yFVx++eUoLy9XzZaTr9gxRZGqisP7op4gDBQVH6jrUDQW6flZbzM8qe5m/8n2sDsPbCSKrtwAQGlpKW655RYsXLgQJSUlePLJJ9Hd3Y1Vq1YBAFauXImcnBxs2LABJpMJc+bMGXL/xMREADjvOgGF/curPGOKIs1RFhOrQvEkC/5ztMVbzLtYuTjk4X1MboY1KzMBZqMOnXYXDtd3KrrK5ivFk5sbbrgBzc3NWLt2LRoaGjBv3jzs3LlTLjI+deoUNJqIKg0KG1LH1JGGTrjcHg5Co4ghr9xwxk1Uk04IV3pSsfT8kfCirQStRsDCvCS8XdWMshNtEfH3pHhyAwCrV6/G6tWrh/3a7t27R73vCy+8EPiAosQFybGIN+rQZXehprmbw9AoIthdbtS2eE+LZqdUdJNeJKsbO9HndMOk14Y8hvZuB8609wLgttRoFuUn4+2qZuytbcNtl+YrHc6Y+FY+imk0AmZneV8cKuu5NUWR4XhzN9weEQkmHTIS1NkMoBbZFhNS4gxweUQcrlemNlBqAc9PjYuos5NCbfAwP1EUFY5mbExuopxUd3OojkXFFBmqBxUTCwI7paKZIAjy6s1BhebdSM/LVZvRFU2ywKjToLXbgZrmbqXDGROTmyjHYxgo0lSz3kZVpCJepepupMnELCYenVGnxbzcRACRMe+GyU2Uk9vB620RsZRIVNXAycRqUtR/QrhSZ0xx5cZ3kXSIJpObKDcjwwy9VoC114m6jl6lwyEaUzVn3KiKNKn4aFNnyI+Kae2yy78X5+QkhPS5I9Gi/rqbj5jckNIMOg2mp3tfJLg1ReGux+GSx+DPyIhXOBoKhYwEE9LNRnjE0A8clVZtpqTFwcxi4jHNn5wErUZAXUcvzob5m2UmNyog1d1wUjGFu2NN3i2p1HgDUuLZKaUW0upNqOtupOF9RdyS8km8USfPTwv3uhsmNypQyKJiihBVDdySUqMihU4Il4f3MbnxWaRsTTG5UQEew0CRgvU26iSv3IQ4uTnIlRu/SclNuBcVM7lRAWmQ31lrH9q7HQpHQzSyqv4zpThNW12kTqWa5i502UNTVNzcaUe9tQ+CABQyufHZorwkAMDRpq6wfj1hcqMCZpMek1NiAXhbwonC1VF55YbFxGqSZjYi22KCKAKHQrR6I22BTUmNQ7wxLE4iiggp8UZMS/f+fIZz3Q2TG5UYqLvh1hSFJ2uvE/XWPgDAdG5LqU6oJxVLz1PcP2eHfCdtTZWF8dYUkxuVkI9hYFExhSlp1SbbYuIZPyokJRmh6piSnofD+/y3OH/gnKlwxeRGJeRJxUxuKExV8dgFVZOSjFCt3FTIKzdMbvy1qD+5qThrQ3eIaqT8xeRGJaRtqZrmLvQ63ApHQ3S+o/3FxOyUUiepY6m2pRvWXmdQn6upsw8Ntj5ohIE3fuS7nMQY5CTGwO0R8cmpDqXDGRaTG5VITzAhNd47BfRIA1dvKPxwxo26JccZMCkpBkDwi4qlVZupafGIYzHxuEhdU2W1rQpHMjwmNyoiTypmxxSFIWnGDQ/MVK9QzbuRh/dxS2rcSvJTAABlYVp3w+RGRTipmMJVS5cdrd0OCALkNlNSH2lScbBPCD/IycQTVpLvXbn55FQHHC6PwtGcj8mNijC5oXBV3b8lNTk5FjEGrcLRkFIGVm46gvo8B1lMPGFT0+KRHGeA3eXBwSB/v8aDyY2KSO3gR+ptcLnDL9Mm9ZK2pDjfRt3m9P+OOt3WG7Tpt422PjR12vuLiZncjJcgCFg4Waq7aVc4mvMxuVGRycmxiDNoYXd5UNvSrXQ4RDL52AUmN6pmidUjr3+aerBawqUtqenpZq4STlBJGM+7YXKjIhqNgNlZ3Jqi8FPNGTfUr6h/mF+wkhupWJnD+yZucHLj9ogKRzMUkxuV4TEMFG5EUZRrbrhyQ8XSML8gFRVzeF/gFGQlIM6gRWefSx7lEC6Y3KgM28Ep3DTY+tBpd0GnEZCfGqd0OKSwYJ4xJYoi28ADSKfVYH5/3U24bU0xuVGZwWdMiWJ4LSOSOknv+PJT42DQ8VeS2hVmJ0AQgLqOXrR02QP62I02O1q67NBqBE4mDpAS6RBNJjekpOkZ8dBpBHT0OHG2/wRmIiWx3oYGM5v0mNK/ghfo1ZsDZzoAANPT42HSs5g4EKRzpvbWtoXVG2YmNypj1GnlIWk8RJPCQVUDO6VoqKIg1d1IyRKH9wXOvNxE6LUCmjrtONnao3Q4MiY3KjSwNcWiYlLe0SaeKUVDSR1TB4KU3LCYOHBMei3m9n+/wmlrismNCnFSMYULj0cc2JbK4LEL5FUsFxV3BOwxRVGUV4LYBh5Yg7emwgWTGxWSkhtuS5HSTrf3oM/pgUGnweQUdkqRV0FWAjSCtwC40RaY2sB6ax9aux3QDZr3RYERjkXFTG5UaHZ/clPX0YuOnuCMOCfyhdQpNT09HlqNoHA0FC7ijDq5NjBQdTfSFteMDDOLiQNs/uQkCAJwsrUHTQFKRieKyY0KJZj0uCDZO+KcqzekJGlLisXEdC7phPADAeqYqmAxcdBYYvSYnel90xwuqzdMblSKdTcUDqr7z5TigZl0Lrnupr99e6KkJInD+4KjJMzqbpjcqJQ0wIqTiklJ8spNJouJaajBk4onOj9FFEWu3ATZov66m4+Y3JCSCnN4xhQpy+n2oKbZu3LDNnA6V0FWArQaAS1dDtRPcOBoXUcv2rod0GsFzMriv7VgWJTvPYahqrET1l6nwtEwuVEtadZNTXM3+pxuhaMhNTrR0g2nW0ScQYucxBilw6EwY9Jr5aR3opOKDw4qJjbqWEwcDOlmE/JT4yCKwL6Tyq/eMLlRqXSzESlxBrg9Ytid5krqMLjeRhDYKUXnC9QJ4RzeFxqL8ryrN2W17QpHwuRGtQRBkE8IZ1ExKaGKnVI0BqnuZqIdU1Jyw+F9wSXV3ew63IC/l9dhT00r3B5lzpvSKfKsFBYKsy34z9EW1t2QIqobeGAmjW5wx5QoiuNa4RNFcWDlpr+9nIKjz+kBABxt6sa9L5cDALIsJqxbXoAr52SFNBau3KiYPKmYHVOkAM64obHMzDRDrxXQ3uPEmfbecT3GmfZedPQ4YdBqMINdeUGzs6Iea/9ecd71Bmsf7ty6Hzsr6kMaD5MbFZO2pY7Udyq2dEjq1Od040RrNwDwBYdGZNRpMTNzYkXF0v1mZrKYOFjcHhHrX6/EcK8i0rX1r1eG9HWGyY2K5afEIdagRa/TjdqWLqXDIRWpae6CRwQSY/VIizcqHQ6FMXlS8TiLiqX7cXhf8JTVto3ari/Ce7ZXWQhn4DC5UTHNoAPkWFRMoTRwEjg7pWh0Ez0hXLofh/cFT1Onb3OIfL1dIDC5UTl5UjGTGwqhqgbvSiHrbWgsUlJy4Iz/k4pFUZTbyJncBE+62RTQ2wUCkxuV4xlTpAR55YadUjSGGRlmGHQadPa5cLK1x6/7nmrrga3P5S0mZiIdNCX5yciymDDSGqwAb9eUdP5UKDC5UTlpUvGhsxM/v4XIV3Jyk85iYhqdQaeRt8/9nXcjFRPPzvImSBQcWo2AdcsLAOC8BEf6fN3yAmg1oduC5ndb5aZnxEOr8bZaNthCtx9K6tVld8ltvXw3Tb4YmFTc4df9pC0pDu8LvivnZGHTzfORaRm69ZRpMWHTzfNDPueGQ/xUzqTXYnp6PI40dOJQnQ1ZFp7xQ8F1tH/VJt1sRFKcQeFoKBLIk4r97JjisQuhdeWcLHyxIBNltW1o6uxDutm7FRXKFRsJkxtCQXaCN7k5a8PSggylw6EoJw/vY70N+UhKTg6dtcHjEaHx4cVy8GTiIk4mDhmtRsCSqSlKh8FtKRqou6ms5zEMFHzygZnpTG7IN9PS4mHSa9Bld6G2f/jjWE629qCzzwWDToPpGaztUhsmNyS3g7NjikJhYOWGLzjkG51WI78J8/WEcKn4uCArAXotX+rUht9xko9hONPeC2uPU+FoKNpVNQwM8CPy1eB5N76Qio8530admNwQLDF65CZ7C4kPcWuKgqijx4GmTjsAYDqTG/KDlKT4OqlYrrdhMbEqMbkhAJxUTKEh1dtMSopBvJH9DOQ7qai4os425gGMHo+Iijrv7zKu3KgTkxsCMKiomMkNBVFVI7ekaHympMXLB/3WNI9+0O+J1m502V0w6jSYzkGRqsTkhgDwGAYKjWrW29A4aTUC5mT7VncjbUkVZidAx2JiVeJ3nQAMrNwca+5Cn9OtcDQUrarYKUUTINXPjDWpmIdlEpMbAgBkJBiRHGeA2yPKrbpEgSSKA/+2uHJD4yHV3Yx1xtQBuZg4MdghUZhickMAAEEQuDVFQeP2iNh5qAEdPU4IAPJS4pQOiSKQtBJTedYGp9sz7G08HhGH6rhyo3ZMbkgmzbthUTEF0s6Kelz603/jzq37AQAigKVPvIOdFfXKBkYRJy8lDmajDnaXB0cbhy8qPt7SjW6HGzF6LaamMYlWKyY3JBuYVMxZNxQYOyvqcefW/ai3Dj1xvsHahzu37meCQ37RaAT5hO+R5t1I1wtYTKxq/M6TTCoqPlzfOeYcCaKxuD0i1r9eieH+JUnX1r9eyX9r5JfiMU4IP3iG822IyQ0Nkp8aB5NOg16nG8+/V4s9Na184aFxK6ttO2/FZjARQL21D2W1baELiiKe3DE1QlGxtHLD5EbdOCKUZG9VNsAtepOZR/55GACQZTFh3fICXDknS8nQKAI1dY6c2IzndkQAUJyTCAA4Ut8Jh8sDg27gPbrbI8oNEcU8dkHVuHJDAAZqI5zuoSs1rI2g8Uo3mwJ6OyIAyE2OgSVGD4fbc97YiuPNXehxuBFr0GJKGmcpqRmTG2JtBAWcxyPi3aNNo95GgHdlsCQ/OTRBUVQQBGHEupvBk4m1GiHksVH4CIvk5umnn0ZeXh5MJhMWL16MsrKyEW+7ZcsWfOYzn0FSUhKSkpKwdOnSUW9PY/O1NuIvH5+GwzX8bAkiSZ/TjXte/gSbdh+Xr537MiN9vm55AV+EyG8jdUwdkCcTJ4Y4Igo3iic327ZtQ2lpKdatW4f9+/dj7ty5WLZsGZqahn/Xt3v3bqxYsQJvv/029uzZg9zcXFxxxRWoq6sLceTRw9eahwf/dhCF63biyiffRem2cmx59zjeO9qC1i57kCOkSNHaZceNWz7EPw7UQ68V8Ivr5mLzzfORaRm69ZRpMWHTzfNZy0XjUpwz/MpNhTyZOCHkMVF4EURRVHSvYfHixVi0aBE2btwIAPB4PMjNzcXdd9+NBx98cMz7u91uJCUlYePGjVi5cuWYt7fZbLBYLLBarUhI4A8AAOypacWKLR+OebsYvQa9zuFXbjISjJidlSB/FGSZkZ8az3flKnKsqQu3vrAXp9p6kGDS4TffXIglU1MAeLc+y2rb0NTZh3SzdyuK/zZovM609+DSn74NnUZAxfplMOm1cLk9KPrfN9HrdONfpZ/DNJ4GHnX8ef1WtFvK4XBg3759WLNmjXxNo9Fg6dKl2LNnj0+P0dPTA6fTieTk4fft7XY77PaBlQWbjdN3z1WSn4wsiwkN1r5h624EeN9p/+f7l6Pe2ofD9TYcru/0/rfBhpOtPWi02dFoa8buqmb5fkadBjMzzZidmYDZWWYUZFswK8uMBJM+ZH82Co0PalrwnT/ug63PhQuSY/H8txYNeXHRagQ50SGaqJzEGCTHGdDW7cCRhk7My01ETXM3ep1uxBm0mJLKycRqp2hy09LSArfbjYyMjCHXMzIycOTIEZ8e4wc/+AGys7OxdOnSYb++YcMGrF+/fsKxRjOtRsC65QW4c+t+CMCQBGdwbYROq0Fucixyk2NxRWGmfJsuuwtVDTZU9ic8lWdtqGroRK/TjQNnrOctHU9KihmywjM7KwG5SbHQ8J18RPrLx6ex5m8H4fKIWDA5Cb/95gKkxBuVDouimCAIKMqx4J3qZhw804F5uYkDxcQ5Fv4uociec/PYY4/h5Zdfxu7du2EyDd9OumbNGpSWlsqf22w25ObmhirEiHHlnCxsunk+1r9eOaS4ONOHOTfxRh0WTE7GgskDq2duj4iTrd0DKzz9H2etfTjT3osz7b14q7JxyGPMzDSjQN7aMmNmphmxhvH9E+U2SPB5PCKeeKsaG98+BgD4cnEWfnHdXJj0WoUjIzUonuRNbqQ3TwfPdADg8D7yUjS5SU1NhVarRWNj45DrjY2NyMzMHOFeXr/4xS/w2GOP4V//+heKi4tHvJ3RaITRyHeRvrhyTha+WJAZkKRAqxEwJS0eU9LicXXxQGLU0eMYkvBU1ttwtLELXXYX9p1sx76T7fJtBQHIT4mTkx1ptSfLYoIgjBzTzor685I0DiMMrD6nGw/89QBe//QsAGD15dNQ+sUZfMdMIVOUM3RSsfRfDu8jQOHkxmAwYMGCBdi1axeuvfZaAN6C4l27dmH16tUj3u9nP/sZHnnkEbzxxhtYuHBhiKJVh2DXRiTGGrBkasqQ53C6PTje3D0k4Tlc34mWLjuOt3TjeEs3dhysH/QYeszKNKMgyyInPdMz4mHUaeVhhOfWDknDCNmhM3GtXXb89x/3Yd/Jdug0AjZ8rQjXLeRqKIVW8aREAEB1Yyc6+5yorOeZUjRA8W2p0tJS3HLLLVi4cCFKSkrw5JNPoru7G6tWrQIArFy5Ejk5OdiwYQMA4Kc//SnWrl2Ll156CXl5eWhoaAAAxMfHIz6e1fGRSK/1Fh7PzDTj2gtz5OvNnfZzEh4bapq70dHjxIfH2/Dh8YEziXQaAVNS43CqvWfEYYQCvMMIv1iQyS2qcapp7sKq3w10RG2+eQEunpaqdFikQhkJRqSZjWjutOO1T8+iz+lBvFGHvBQWE1MYJDc33HADmpubsXbtWjQ0NGDevHnYuXOnXGR86tQpaDQD43g2bdoEh8OBb3zjG0MeZ926dfjf//3fUIZOQZZmNiLNnIbPzkiTr/U53TjW1CUnO1LnlrXXieqmrlEfb/BBjezc8d+emlZ8Z+s+WHudyE2Owe++VcJ2W1KMIAgozrFg15EmvPjhKQDAnJwEbo0SgDBIbgBg9erVI25D7d69e8jnJ06cCH5AFLZMei3m5FjkCaUAIIoi6q19eOH9Wvz2P7VjPgYPavTfX/edwZq/HYDTLWL+BYnYsnIhO6JIcUWTvMmNtCWVEmeA2yNyZZaUn1BMNFGCICA7MQaXz8oY+8bw1uyQb0RRxBNvVuF7f/kUTreILxdn4aU7LmJiQ2HB6R46VHTHwQZc+tN/86BfYnJD0UMaRjjWe7YfvVqBf1U2QuHh3GGvz+nGvS+X46l/e1u977p8Kp76rwvZ6k1hYWdFPZ5+u+a861LzABMcdWNyQ1FDGkYIjHxQoyVGh9Ptvbj9Dx/j1hf2oralO6QxRoq2bgdufvYjvPbpWeg0An72jWI8sGwW6xkoLLg9Ita/Xjns16S3LOtfr4TbwzcwasXkhqKKNIxwuIMaN988Hx88+AV853NTodcKeLuqGct++S5+/sYR9DhcCkUcfmqau/DVZ97HxyfbYTbp8IdbS3A9W70pjJTVtg2ZY3Wuwc0DpE5hUVBMFEhjDSN88KpZuG7hJKx/vRLvVjfj6bdr8Lf9dfh/V8/G1UVZow4IjHYfHm/Ft//o7YialBSDF1YtwrR0s9JhEQ3ha1MAmwfUi8kNRaWxhhFOTYvH71ctwluVjXj4H5U4096L1S99ghennML6awoxI0N9L+h/238GP3jF2xF1YX9HVCoLhykMpZuHP25nvLej6MNtKVItQRBwRWEm/lX6Ody/dAaMOg32HG/FVb/6D378j0rY+pxKhxgSoug9I6r0z96OqKuLsvCnOy5iYkNha6zmAQHeI1dK8pNHuAVFOyY3pHomvRb3Lp2Of5V+DssKM+D2iHjuvVp8/hfv4K/7zsATxUWJdpcb920rx1O7jgIAvnvZVPx6BTuiKLz50jywbnkB592omCCqrB/WZrPBYrHAarUiISFB6XAoDL1T3Yz1rx3C8f5OqvkXJOLha+YMGRwYDdq6Hfj2Hz/G3hPeM6Ie/WoRrl/EwmGKHDwkV138ef1mckM0DIfLg+ffr8VTu46ix+GGIAA3llyA710xE0lxBqXDm7DjzV249YW9ONHaA3P/GVGX8IwoikBujzhi8wBFFyY3o2ByQ/5osPZhw/8dxt/LzwLwTjf+3hUzsaLkgoj9BfrR8VZ8e+s+dPR4O6J+961FmK7CAmoiiixMbkbB5IbG46PjrVj32iEcaegEABRmJ+DhawqxYHJkFSy++skZfP+v3o6oebnejqg0MwuHiSj8MbkZBZMbGi+X24OtH57E429Vo7PPO/Tva/Nz8OBVs8K+5VQURTz5r6P4VX/h8JeKMvHE9fNYOExEEYPJzSiY3NBEtXTZ8fOdVdj28WkAQLxRh/uWTsctF+dBrw2/BkS7y40HXzmIVz+pAwDcedlUPHDFTB6lQEQRhcnNKJjcUKCUn+7A2r9X4MAZKwBgeno81n+lEBeHUWFue7cD3/7jPpSdaINOI+An187Bf5VcoHRYRER+Y3IzCiY3FEgej4g/f3waP3ujCm3dDgDA1UVZ+H9Xz0Z2YoyisdW2dMuHg5qNOmy6eQEunR4+iRcRkT+Y3IyCyQ0Fg7XHiSfeqsIfPzwJjwjE6LVY/flpuP0z+TDqQl/XUlbbhv/+48fo6HEiJzEGv1u1SJVHShBR9GByMwomNxRMlWdtWPdaBfaeaAcA5KXEYt3yQlw+Kz1kMWz/pA7f/+sBONwezM1NxLPsiCKiKMDkZhRMbijYRFHEa5+exSM7DqOp0w4AWDo7HQ99uQCTU+KC+ry/2nUUT/7L2xF11RxvR1SMgR1RRBT5mNyMgskNhUqX3YVf7zqK596rhcsjwqDT4NufnYLvXjYt4AnHuR1R3/7cFPxg2Sx2RBFR1GByMwomNxRqx5q6sP71Q/jP0RYAQE5iDP7f1bNx1ZxMCMLEk4/2bge+vXUfymrboO3viFrBjigiijJMbkbB5IaUIIoi3jjUiB//oxJ1Hb0AgEumpWD9VwoxLX38hb4nWrqxalBH1DM3z8dnpqcFKmwiorDB5GYUTG5ISb0ONza9U4PN79TA4fJApxGw6pI83POF6TCb9H491t4TbfjvP3yM9v6OqOe/tQgzM9kRRUTRicnNKJjcUDg41dqDh/9RiX8dbgQApJmN+OGXZuHaeTk+bVX9vbwOD/ylvyNqkgVbblkY9kdAEBFNBJObUTC5oXDydlUTHn69ErUt3QCAhZOTsP6aQhRmWwAAbo+Isto2NHX2Id1swqK8JDyzuwZPvFUNALiyMBO/vIEdUUQU/ZjcjILJDYUbu8uN596rxa93HUOv0w2NANy0eDLm5VrwizerUW/tk28bo9eg1+kBAHz7s1PwgyvZEUVE6sDkZhRMbihc1Vt78ciOw/jHgfoxb3tjSS4e/VpxCKIiIgoP/rx+h98RxkQqlWWJwcYb52PrbSXQjbEa83ZVM9weVb0vISLyGZMbojCj1WjgGiNxqbf2oay2LUQRERFFFiY3RGGmqbNv7Bv5cTsiIrVhckMUZnxt6WbrNxHR8JjcEIWZkvxkZFlMGKnqRgCQZTGhJD85lGEREUUMJjdEYUarEbBueQEAnJfgSJ+vW14ALVvAiYiGxeSGKAxdOScLm26ej0zL0K2nTIsJm26ejyvnZCkUGRFR+NMpHQARDe/KOVn4YkHmkAnFJfnJXLEhIhoDkxuiMKbVCFgyNUXpMIiIIgq3pYiIiCiqMLkhIiKiqMLkhoiIiKIKkxsiIiKKKkxuiIiIKKowuSEiIqKowuSGiIiIogqTGyIiIooqTG6IiIgoqqhuQrEoigAAm82mcCRERETkK+l1W3odH43qkpvOzk4AQG5ursKREBERkb86OzthsVhGvY0g+pICRRGPx4OzZ8/CbDZDEAJ7AKHNZkNubi5Onz6NhISEgD42+Y/fj/DC70d44fcj/PB7MjpRFNHZ2Yns7GxoNKNX1ahu5Uaj0WDSpElBfY6EhAT+wwwj/H6EF34/wgu/H+GH35ORjbViI2FBMREREUUVJjdEREQUVZjcBJDRaMS6detgNBqVDoXA70e44fcjvPD7EX74PQkc1RUUExERUXTjyg0RERFFFSY3REREFFWY3BAREVFUYXITIE8//TTy8vJgMpmwePFilJWVKR2Sam3YsAGLFi2C2WxGeno6rr32WlRVVSkdFvV77LHHIAgC7rvvPqVDUa26ujrcfPPNSElJQUxMDIqKivDxxx8rHZYqud1uPPTQQ8jPz0dMTAymTp2KH//4xz4dMUAjY3ITANu2bUNpaSnWrVuH/fv3Y+7cuVi2bBmampqUDk2V3nnnHdx111348MMP8dZbb8HpdOKKK65Ad3e30qGp3t69e/Gb3/wGxcXFSoeiWu3t7bjkkkug1+vxf//3f6isrMTjjz+OpKQkpUNTpZ/+9KfYtGkTNm7ciMOHD+OnP/0pfvazn+HXv/610qFFNHZLBcDixYuxaNEibNy4EYD3iIfc3FzcfffdePDBBxWOjpqbm5Geno533nkHn/3sZ5UOR7W6urowf/58PPPMM/jJT36CefPm4cknn1Q6LNV58MEH8f777+M///mP0qEQgC9/+cvIyMjAc889J1/7+te/jpiYGGzdulXByCIbV24myOFwYN++fVi6dKl8TaPRYOnSpdizZ4+CkZHEarUCAJKTkxWORN3uuusuXH311UN+Vij0XnvtNSxcuBDXXXcd0tPTceGFF2LLli1Kh6VaF198MXbt2oXq6moAwKeffor33nsPV111lcKRRTbVnS0VaC0tLXC73cjIyBhyPSMjA0eOHFEoKpJ4PB7cd999uOSSSzBnzhylw1Gtl19+Gfv378fevXuVDkX1jh8/jk2bNqG0tBQ//OEPsXfvXtxzzz0wGAy45ZZblA5PdR588EHYbDbMmjULWq0WbrcbjzzyCG666SalQ4toTG4oqt11112oqKjAe++9p3QoqnX69Gnce++9eOutt2AymZQOR/U8Hg8WLlyIRx99FABw4YUXoqKiAps3b2Zyo4A///nPePHFF/HSSy+hsLAQ5eXluO+++5Cdnc3vxwQwuZmg1NRUaLVaNDY2Drne2NiIzMxMhaIiAFi9ejX+8Y9/4N133w36SfA0sn379qGpqQnz58+Xr7ndbrz77rvYuHEj7HY7tFqtghGqS1ZWFgoKCoZcmz17Nl555RWFIlK3Bx54AA8++CD+67/+CwBQVFSEkydPYsOGDUxuJoA1NxNkMBiwYMEC7Nq1S77m8Xiwa9cuLFmyRMHI1EsURaxevRqvvvoq/v3vfyM/P1/pkFTtC1/4Ag4ePIjy8nL5Y+HChbjppptQXl7OxCbELrnkkvNGI1RXV2Py5MkKRaRuPT090GiGvhRrtVp4PB6FIooOXLkJgNLSUtxyyy1YuHAhSkpK8OSTT6K7uxurVq1SOjRVuuuuu/DSSy/h73//O8xmMxoaGgAAFosFMTExCkenPmaz+bx6p7i4OKSkpLAOSgH3338/Lr74Yjz66KO4/vrrUVZWht/+9rf47W9/q3RoqrR8+XI88sgjuOCCC1BYWIhPPvkETzzxBG699ValQ4tobAUPkI0bN+LnP/85GhoaMG/ePDz11FNYvHix0mGpkiAIw17/3e9+h29961uhDYaGddlll7EVXEH/+Mc/sGbNGhw9ehT5+fkoLS3FHXfcoXRYqtTZ2YmHHnoIr776KpqampCdnY0VK1Zg7dq1MBgMSocXsZjcEBERUVRhzQ0RERFFFSY3REREFFWY3BAREVFUYXJDREREUYXJDREREUUVJjdEREQUVZjcEBERUVRhckNERERRhckNEYWlyy67DPfddx8AIC8vj9OMichnTG6IKOzt3bsX//3f/x3U59i9ezfmz58Po9GIadOm4YUXXgjq8xFR8DC5IaKwl5aWhtjY2KA9fm1tLa6++mpcfvnlKC8vx3333Yfbb78db7zxRtCek4iCh8kNESmuu7sbK1euRHx8PLKysvD4448P+fq521KCIOA3v/kNvvzlLyM2NhazZ8/Gnj17cOzYMVx22WWIi4vDxRdfjJqaGp+ef/PmzcjPz8fjjz+O2bNnY/Xq1fjGN76BX/7yl4H8YxJRiDC5ISLFPfDAA3jnnXfw97//HW+++SZ2796N/fv3j3qfH//4x1i5ciXKy8sxa9Ys3Hjjjfj2t7+NNWvW4OOPP4Yoili9erVPz79nzx4sXbp0yLVly5Zhz5494/4zEZFydEoHQETq1tXVheeeew5bt27FF77wBQDA73//e0yaNGnU+61atQrXX389AOAHP/gBlixZgoceegjLli0DANx7771YtWqVTzE0NDQgIyNjyLWMjAzYbDb09vYiJibG3z8WESmIKzdEpKiamho4HA4sXrxYvpacnIyZM2eOer/i4mL5/6XEpKioaMi1vr4+2Gy2AEdMROGOyQ0RRSS9Xi//vyAII17zeDxjPlZmZiYaGxuHXGtsbERCQgJXbYgiEJMbIlLU1KlTodfr8dFHH8nX2tvbUV1dHbIYlixZgl27dg259tZbb2HJkiUhi4GIAofJDREpKj4+HrfddhseeOAB/Pvf/0ZFRQW+9a1vQaMJ3a+n73znOzh+/Di+//3v48iRI3jmmWfw5z//Gffff3/IYiCiwGFBMREp7uc//zm6urqwfPlymM1m/M///A+sVmvInj8/Px87duzA/fffj1/96leYNGkSnn32Wbk4mYgiiyCKoqh0EERERESBwm0pIiIiiipMbogo6hUWFiI+Pn7YjxdffFHp8IgowLgtRURR7+TJk3A6ncN+LSMjA2azOcQREVEwMbkhIiKiqMJtKSIiIooqTG6IiIgoqjC5ISIioqjC5IaIiIiiCpMbIiIiiipMboiIiCiqMLkhIiKiqMLkhoiIiKLK/wftifw63Cz4TgAAAABJRU5ErkJggg==", "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -727,14 +727,6 @@ "# let's directly plot the result:\n", "results[()].plot(marker='o')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "659780cd-7c17-4ff6-a072-6c923e68efdb", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/database/index.rst b/docs/database/index.rst index 872f3a11..7e89cce2 100644 --- a/docs/database/index.rst +++ b/docs/database/index.rst @@ -3,15 +3,25 @@ HDF5-Database HDF5 can be considered a database itself, as it allows multiple datasets and their metadata (attributes) to be stored in a single file. Most of the time, you want to find records in an HDF5 file based on the attributes. However, the `h5py` package does not provide a function to do this. -The `h5rdmtoolbox` provides an interface to perform queries on a single or even multiple HDF5 files. This is shown in one of the subchapters here. However, this may not always be the fastest way to find data in an HDF5 file. A more effective way is to map the metadata to a dedicated database. One such example is MongoDB. The query is performed on the much more efficient dedicated database, then returned to the original file to continue working. +The `h5rdmtoolbox` provides an interface to perform queries on a single or even multiple HDF5 files. +This is shown in one of the subchapters here. However, this may not always be the fastest way to find data +in an HDF5 file. A more effective way is to map the metadata to a dedicated database. One such example is MongoDB. +The query is performed on the much more efficient dedicated database, then returned to the original file to continue working. -You may implement an interface between HDF5 and another database solution yourself. For this, please inherit from the abstract class `h5rdmtoolbox.database.interface.HDF5DBInterface`. +You may implement a new interface between HDF5 and your preferable database solution yourself. +For this, please inherit from the abstract class `h5rdmtoolbox.database.interface.HDF5DBInterface`. The +following class diagram shows the architecture of the database interfaces: -The following two chapters show how the aforementioned approaches (using HDF5 itself and using monogDB) work. +.. image:: ../_static/database_class_diagram.svg + :width: 300 + :alt: database_class_diagram + :align: center +The following two chapters show how the aforementioned approaches (using HDF5 itself and using monogDB) work: -- ``hdfDB``: Allows to query inside a single file. -- ``mongo``: Using pymongo (mongodb) to mirror metadata of HDF files into the database to be queried afterward. + +- ``FileDB``: Allows to query inside a single file. +- ``MongoDB``: Using pymongo (mongodb) to mirror metadata of HDF files into the database to be queried afterward. .. toctree:: diff --git a/docs/database/mongo.ipynb b/docs/database/mongo.ipynb index 946bd1fa..c4030dcd 100644 --- a/docs/database/mongo.ipynb +++ b/docs/database/mongo.ipynb @@ -7,20 +7,19 @@ "source": [ "# HDF5 + mongoDB\n", "\n", - "This database interface uses `pymongo` as the backend database.\n", + "This database interface uses `pymongo` as the backend database. The user communicates via the interface `h5rdmtoolbox.database.MongoDB`.\n", "\n", - "## Concept\n", "The idea is not to store all data in a mongoDB database. Then we would not have to write an HDF5 file in the first place.<br>\n", "We rather use the database as a **metadata storage**, which is much more efficient to search through. So the steps are:\n", - "1. insert (metadata) into the database (mongoDB)\n", + "1. insert (metadata) into the database (the interface takes care how this is done)\n", "2. perform query\n", "3. the interface collects performs query on mongoDB...\n", - "4. ...and returns a lazy HDF object to the user\n", + "4. ...and the interface returns a lazy HDF object to the user\n", "\n", "<!-- ![mongoDB_concept](mongoDB_concept.png) -->\n", "\n", - "<img src=\"mongoDB_concept.png\"\n", - " alt=\"mongoDB_concept.png\"\n", + "<img src=\"../_static/mongoDB_concept.png\"\n", + " alt=\"../_static/mongoDB_concept.png\"\n", " style=\"margin-right: 10px; height: 200px;\" />\n", " " ] @@ -333,49 +332,49 @@ "\n", " <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n", " <li>\n", - " <input id=\"group-ds--8412548000\" type=\"checkbox\" checked>\n", - " <label style=\"font-weight: bold\" for=\"group-ds--8412548000\">\n", + " <input id=\"group-ds--10766140700\" type=\"checkbox\" checked>\n", + " <label style=\"font-weight: bold\" for=\"group-ds--10766140700\">\n", " /<span>(5)</span></label>\n", " \n", "\n", " <ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">__h5rdmtoolbox_version__ : 1.0.0</li>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/correlation-8414269000\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/correlation-8414271400\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/correlation-8414271400\">correlation</label>\n", + " <ul id=\"ds-1-/correlation-10768602900\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/correlation-10768606900\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/correlation-10768606900\">correlation</label>\n", " <span class=\"h5tb-dims\">(1797) [float32]</span>\n", " <ul class=\"h5tb-attr-list\">\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/digit-8414380400\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/digit-8414382600\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/digit-8414382600\">digit</label>\n", + " <ul id=\"ds-1-/digit-10768764000\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/digit-10768768000\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/digit-10768768000\">digit</label>\n", " <span class=\"h5tb-dims\">(1797) [int32]</span>\n", " <ul class=\"h5tb-attr-list\">\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/dissimilarity-8414458000\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/dissimilarity-8414460100\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/dissimilarity-8414460100\">dissimilarity</label>\n", + " <ul id=\"ds-1-/dissimilarity-10768888700\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/dissimilarity-10768891200\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/dissimilarity-10768891200\">dissimilarity</label>\n", " <span class=\"h5tb-dims\">(1797) [float32]</span>\n", " <ul class=\"h5tb-attr-list\">\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/images-8414623100\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/images-8414625000\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/images-8414625000\">images</label>\n", + " <ul id=\"ds-1-/images-10769172100\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/images-10769174900\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/images-10769174900\">images</label>\n", " <span class=\"h5tb-dims\">(digit: 1797, 8, 8) [float32]</span>\n", " <ul class=\"h5tb-attr-list\">\n", " </ul>\n", " </ul>\n", "\n", - " <ul id=\"ds-1-/mean-8414694700\" class=\"h5tb-var-list\">\n", - " <input id=\"ds-2-/mean-8414696800\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", - " <label class='h5tb-varname' for=\"ds-2-/mean-8414696800\">mean</label>\n", + " <ul id=\"ds-1-/mean-10769317300\" class=\"h5tb-var-list\">\n", + " <input id=\"ds-2-/mean-10769321300\" class=\"h5tb-varname-in\" type=\"checkbox\" >\n", + " <label class='h5tb-varname' for=\"ds-2-/mean-10769321300\">mean</label>\n", " <span class=\"h5tb-dims\">(1797) [float32]</span>\n", " <ul class=\"h5tb-attr-list\">\n", " </ul>\n", @@ -458,7 +457,7 @@ "metadata": {}, "outputs": [], "source": [ - "mdb = mongo.MongoDBInterface(collection=collection)\n", + "mdb = mongo.MongoDB(collection=collection)\n", "mdb.collection.drop() # clean the collection just to be certain that it is really empty" ] }, @@ -686,7 +685,7 @@ { "data": { "text/plain": [ - "<matplotlib.collections.QuadMesh at 0x1d214859610>" + "<matplotlib.collections.QuadMesh at 0x2c6cd023e20>" ] }, "execution_count": 16, diff --git a/docs/database/mongoDB_concept.png b/docs/database/mongoDB_concept.png deleted file mode 100644 index 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featu sustainable data lifecycle. The sub-packages are: - :doc:`wrapper <wrapper/index>`: User-friendly wrapper around `h5py` implementation for efficient work with HDF5 files and conventions - - :doc:`convention <conventions/index>`: Simple, user-definable construction of conventions (metadata standardization for HDF files) + - :doc:`convention <convention/index>`: Simple, user-definable construction of conventions (metadata standardization for HDF files) - :doc:`database <database/index>`: Querying HDF5 files (A database for HDF5 files or interfacing with dedicated solutions, like mongoDB) - :doc:`repository <repository/index>`: Up/Download to/from repositories (currently, a Zenodo interface is implemented) - :doc:`layout <layout/index>`: User-definable specifications for the layout of HDF5 files (attributes, datasets, groups and properties) @@ -52,7 +52,7 @@ Please navigate through the chapters on the left to learn more about the package - :doc:`Getting Started <gettingstarted/index>`: A quick introduction to the package - :doc:`Working with HDF5 files <wrapper/index>`: A high-level wrapper for HDF5 files - - :doc:`Convention <conventions/index>`: Modular construction of conventions (sets of standardized HDF5 attributes) + - :doc:`Convention <convention/index>`: Modular construction of conventions (sets of standardized HDF5 attributes) - :doc:`Layout <layout/index>`: Modular construction of conventions (sets of standardized HDF5 attributes) - :doc:`Repository <repository/index>`: Modular construction of conventions (sets of standardized HDF5 attributes) - :doc:`Database <database/index>`: A database for HDF5 files diff --git a/docs/layout/getting_started.ipynb b/docs/layout/getting_started.ipynb index 1e76b371..cc5b35e6 100644 --- a/docs/layout/getting_started.ipynb +++ b/docs/layout/getting_started.ipynb @@ -229,7 +229,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-12-18_10:15:43,100 ERROR [core.py:117] Applying spec. \"LayoutSpecification (kwargs={'flt': {'$compression': 'gzip'}})\" on \"<HDF5 dataset \"u\": shape (3, 5), type \"<f4\", convention \"h5py\">\" failed.\n" + "2023-12-18_14:51:45,123 ERROR [core.py:117] Applying spec. \"LayoutSpecification (kwargs={'flt': {'$compression': 'gzip'}})\" on \"<HDF5 dataset \"u\": shape (3, 5), type \"<f4\", convention \"h5py\">\" failed.\n" ] } ], @@ -275,7 +275,7 @@ { "data": { "text/plain": [ - "[<LDataset \"/v\" in \"C:\\Users\\da4323\\AppData\\Local\\h5rdmtoolbox\\h5rdmtoolbox\\tmp\\tmp_0\\tmp0.hdf\" attrs=()>]" + "[<LDataset \"/v\" in \"C:\\Users\\da4323\\AppData\\Local\\h5rdmtoolbox\\h5rdmtoolbox\\tmp\\tmp_2\\tmp0.hdf\" attrs=()>]" ] }, "execution_count": 10, diff --git a/docs/repository/zenodo.ipynb b/docs/repository/zenodo.ipynb index 63cede20..b1274cc8 100644 --- a/docs/repository/zenodo.ipynb +++ b/docs/repository/zenodo.ipynb @@ -5,15 +5,196 @@ "id": "834332c9-e420-4802-8d38-eebdd66d8349", "metadata": {}, "source": [ - "# Zenodo" + "# Zenodo\n", + "\n", + "There are two types of Zenodo interfaces. One interfaces to the public repositories (`ZenodoRecord`), the other is for testing and accessed the sandbox server (`ZenodoSandboxDeposit`).\n", + "\n", + "The class diagram below shows how they are constructed. First, an abstract zenodo interface class (`AbstractZenodoInterface`) is derived. From this, the concrete interface classes are derived.\n", + "\n", + "<img src=\"../_static/repo_class_diagram.svg\"\n", + " alt=\"../_static/repo_class_diagram.svg\"\n", + " style=\"margin-right: 10px; height: 500px;\" />\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "1bd504f1-59a1-45f6-805e-89700ebf4c32", + "metadata": {}, + "source": [ + "## Example usage\n", + "\n", + "The example below will upload an HDF file to the sandbox server:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "b001b211-4771-48b2-8a0f-0a0b75b3de01", "metadata": {}, "outputs": [], + "source": [ + "from h5rdmtoolbox.repository import zenodo\n", + "import h5rdmtoolbox as h5tbx" + ] + }, + { + "cell_type": "markdown", + "id": "ac9d7063-43af-42d2-94b7-cf20c5b0e09c", + "metadata": {}, + "source": [ + "Init a Repo:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b1d04f69-5da4-40e8-9669-580bb4666cb0", + "metadata": {}, + "outputs": [], + "source": [ + "repo = zenodo.ZenodoSandboxDeposit(None)" + ] + }, + { + "cell_type": "markdown", + "id": "6303c7d5-684d-4bcf-a17a-217c63d26212", + "metadata": {}, + "source": [ + "Create a test file:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3811ddda-5023-405d-b109-77b342c568b0", + "metadata": {}, + "outputs": [], + "source": [ + "with h5tbx.File() as h5:\n", + " h5.create_dataset('velocity', shape=(10, 30), attrs={'units': 'm/s'})\n", + "filename = h5.hdf_filename" + ] + }, + { + "cell_type": "markdown", + "id": "70992ae8-c2d2-4263-b315-203c17325f92", + "metadata": {}, + "source": [ + "Prepare metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "90d65507-8c0d-428b-8105-7e436461e1be", + "metadata": {}, + "outputs": [], + "source": [ + "from h5rdmtoolbox.repository.zenodo import metadata\n", + "from datetime import datetime\n", + "\n", + "meta = metadata.Metadata(\n", + " version=\"0.1.0-rc.1+build.1\",\n", + " title='[deleteme]h5tbxZenodoInterface',\n", + " description='A toolbox for managing HDF5-based research data management',\n", + " creators=[metadata.Creator(name=\"Probst, Matthias\",\n", + " affiliation=\"KIT - ITS\",\n", + " orcid=\"0000-0001-8729-0482\")],\n", + " contributors=[metadata.Contributor(name=\"Probst, Matthias\",\n", + " affiliation=\"KIT - ITS\",\n", + " orcid=\"0000-0001-8729-0482\",\n", + " type=\"ContactPerson\")],\n", + " upload_type='image',\n", + " image_type='photo',\n", + " access_right='open',\n", + " keywords=['hdf5', 'research data management', 'rdm'],\n", + " publication_date=datetime.now(),\n", + " embargo_date='2020'\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3a5d6fef-b96b-45a0-8d0c-9157c5192bce", + "metadata": {}, + "source": [ + "Add (and publish) the metadata:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e337c361-6d48-46cc-a3d7-292cadfc28fa", + "metadata": {}, + "outputs": [], + "source": [ + "repo.metadata = meta" + ] + }, + { + "cell_type": "markdown", + "id": "11efa913-f440-4431-9de7-1daa84fcbac8", + "metadata": {}, + "source": [ + "Upload the HDF5 file. Note, that there's a difference between `upload_file` and `upload_hdf_file`. The latter not just uploads the HDF5 file but also generates a metadata file and uploads it, too. The reason behind it is, that the HDF5 file can be very large. Before downloading the (large) HDF5 file, the user may want to review the metadata content first. This is possible through the \"metamapper-function\" which needs to be provided during upload." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3cb86303-0e65-41fc-a622-710bc5fe8f7a", + "metadata": {}, + "outputs": [], + "source": [ + "from h5rdmtoolbox.repository.h5metamapper import hdf2json" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9bc60428-785f-41aa-a356-2114e0d183ac", + "metadata": {}, + "outputs": [], + "source": [ + "repo.upload_hdf_file(filename, metamapper=hdf2json)" + ] + }, + { + "cell_type": "markdown", + "id": "00482800-885f-482e-a136-10ee167c3a72", + "metadata": {}, + "source": [ + "List the just uploaded files, by requesting the current filenames in the repository:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "500cb79c-76a4-4f3f-a84f-da36b1e63d5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['tmp0.hdf', 'tmp0.json']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "repo.get_filenames()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27ad1ee4-837e-4037-9609-68d46414af17", + "metadata": {}, + "outputs": [], "source": [] } ], diff --git a/h5rdmtoolbox/convention/core.py b/h5rdmtoolbox/convention/core.py index 2ab96909..a77f7b0d 100644 --- a/h5rdmtoolbox/convention/core.py +++ b/h5rdmtoolbox/convention/core.py @@ -647,7 +647,7 @@ def from_json(filename: Union[str, pathlib.Path], overwrite: bool = False) -> Co def from_repo(repo_interface: RepositoryInterface, name: str, - overwrite: bool = False, + take_existing: bool = True, force_download: bool = False): """Download a YAML file from a repository""" # check if file exists: @@ -655,9 +655,9 @@ def from_repo(repo_interface: RepositoryInterface, estimated_filename = UserDir['cache'] / f'{path_compatible_doi}' / name estimated_filename.parent.mkdir(parents=True, exist_ok=True) if estimated_filename.exists(): - if not overwrite: - raise FileExistsError(f'File {name} exists in cache and overwrite is set to False.') - if overwrite and not force_download: + if not take_existing: + raise FileExistsError(f'File {name} exists in cache but take_existing is set to False.') + if take_existing and not force_download: return from_file(estimated_filename) filename = repo_interface.download_file(name) diff --git a/h5rdmtoolbox/database/__init__.py b/h5rdmtoolbox/database/__init__.py index 33a2ab10..e5458550 100644 --- a/h5rdmtoolbox/database/__init__.py +++ b/h5rdmtoolbox/database/__init__.py @@ -1,9 +1,9 @@ from . import lazy -from .hdfdb import FileDB as hdfDB +from .hdfdb import FileDB from .hdfdb import FilesDB, ObjDB from ..utils import create_tbx_logger from .template import HDF5DBInterface logger = create_tbx_logger('database') -__all__ = ['logger', 'lazy', 'hdfDB', 'FilesDB', 'ObjDB', 'HDF5DBInterface'] +__all__ = ['logger', 'lazy', 'FileDB', 'FilesDB', 'ObjDB', 'HDF5DBInterface'] diff --git a/h5rdmtoolbox/database/mongo.py b/h5rdmtoolbox/database/mongo.py index ba65e255..f267ca54 100644 --- a/h5rdmtoolbox/database/mongo.py +++ b/h5rdmtoolbox/database/mongo.py @@ -297,7 +297,7 @@ def __getitem__(self, item): super().__getitem__(item) -class MongoDBInterface(HDF5DBInterface): +class MongoDB(HDF5DBInterface): """The database interface between HDF5 and MongoDB. Call `.insert()` on opened HDF5 files to insert them into the database. diff --git a/h5rdmtoolbox/layout/core.py b/h5rdmtoolbox/layout/core.py index f3ae598e..1727096e 100644 --- a/h5rdmtoolbox/layout/core.py +++ b/h5rdmtoolbox/layout/core.py @@ -171,7 +171,7 @@ def add(self, func: Callable, *, n: int = None, comment: str = None, **kwargs): Examples -------- - >>> from h5rdmtoolbox.database import hdfdb + >>> from h5rdmtoolbox.database import FileDB >>> lay = LayoutSpecification() >>> spec1 = lay.add(hdfdb.FileDB.find, flt={'$name': '/u'}, n=1) >>> spec2 = lay.add(...) # add another spec to layout diff --git a/h5rdmtoolbox/repository/zenodo/__init__.py b/h5rdmtoolbox/repository/zenodo/__init__.py index 11cc46cb..51cfd1fe 100644 --- a/h5rdmtoolbox/repository/zenodo/__init__.py +++ b/h5rdmtoolbox/repository/zenodo/__init__.py @@ -1,4 +1,5 @@ from . import utils from .core import ZenodoSandboxDeposit, ZenodoRecord +from .tokens import get_api_token, set_api_token -__all__ = ['ZenodoSandboxDeposit', 'ZenodoRecord', 'utils'] +__all__ = ['ZenodoSandboxDeposit', 'ZenodoRecord', 'utils', 'get_api_token', 'set_api_token'] diff --git a/h5rdmtoolbox/repository/zenodo/core.py b/h5rdmtoolbox/repository/zenodo/core.py index 86910098..7294e7c6 100644 --- a/h5rdmtoolbox/repository/zenodo/core.py +++ b/h5rdmtoolbox/repository/zenodo/core.py @@ -16,9 +16,10 @@ __all__ = ['Metadata'] -class ZenodoInterface(RepositoryInterface, abc.ABC): +class AbstractZenodoInterface(RepositoryInterface, abc.ABC): """Interface for Zenodo. """ + base_url = None def __init__(self, rec_id: Union[int, None]): @@ -80,9 +81,9 @@ def exists(self) -> bool: return True -class ZenodoDepositInterface(ZenodoInterface): - """A Zenodo deposit interface. API TOKEN needed""" - base_url = None +class ZenodoSandboxDeposit(AbstractZenodoInterface): + """Interface to Zenodo's testing (sandbox) api. API TOKEN needed""" + base_url = 'https://sandbox.zenodo.org/api/deposit/depositions' @property def metadata(self): @@ -114,9 +115,8 @@ def publish(self) -> requests.Response: params={'access_token': self.access_token}) @property - @abc.abstractmethod - def access_token(self) -> str: - """The API token for the Zenodo account.""" + def access_token(self): + return get_api_token(sandbox=True) def get(self, raise_for_status: bool = False): """Get the deposit (json) data.""" @@ -239,15 +239,9 @@ def delete(self): r.raise_for_status() -class ZenodoSandboxDeposit(ZenodoDepositInterface): - base_url = 'https://sandbox.zenodo.org/api/deposit/depositions' - - @property - def access_token(self): - return get_api_token(sandbox=True) - +class ZenodoRecord(AbstractZenodoInterface): + """Interface to Zenodo records.""" -class ZenodoRecord(ZenodoInterface): base_url = 'https://zenodo.org/api/records' def upload_file(self, filename, overwrite: bool = False): diff --git a/tests/database/test_mongo.py b/tests/database/test_mongo.py index 65e648da..0ce9969c 100644 --- a/tests/database/test_mongo.py +++ b/tests/database/test_mongo.py @@ -8,7 +8,7 @@ from h5rdmtoolbox import use from h5rdmtoolbox.database.lazy import LDataset -from h5rdmtoolbox.database.mongo import MongoDBInterface +from h5rdmtoolbox.database.mongo import MongoDB try: import pymongo @@ -71,8 +71,8 @@ def test_make_dict_mongo_compatible(self): @is_testable def test_insert(self): - """Test the MongoDBInterface class""" - mongoDBInterface = MongoDBInterface(collection=self.collection) + """Test the MongoDB class""" + mongoDBInterface = MongoDB(collection=self.collection) with h5py.File('test.h5', 'w') as h5: h5.create_dataset('dataset', shape=(10, 20, 4)) @@ -99,7 +99,7 @@ def test_insert(self): # insert zero-th axis: self.client.drop_database('hdf_database_test') - mongoDBInterface = MongoDBInterface(collection=self.collection) + mongoDBInterface = MongoDB(collection=self.collection) with h5py.File('test.h5', 'w') as h5: h5.create_dataset('dataset', shape=(10, 20, 4)) @@ -111,7 +111,7 @@ def test_insert(self): @is_testable def test_find_one(self): - mongoDBInterface = MongoDBInterface(collection=self.collection) + mongoDBInterface = MongoDB(collection=self.collection) self.assertEqual(0, mongoDBInterface.collection.count_documents({})) with h5py.File('test.h5', 'w') as h5: