From 26d9d6c404d9d5dbadedb08c675d1f0ceb6625a1 Mon Sep 17 00:00:00 2001 From: asteiker Date: Mon, 10 Feb 2025 16:09:09 +0000 Subject: [PATCH 1/5] add phony dim kwarg --- .../ATL06-direct-access.ipynb | 85267 +++++++++++++++- 1 file changed, 85249 insertions(+), 18 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb index 0ec39f6..b02bc2e 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb @@ -87,10 +87,621 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "b00b7a6e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + " const py_version = '3.6.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = false;\n", + " const Bokeh = root.Bokeh;\n", + "\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + "\n", + " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", + " }\n", + "\n", + " const skip = 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" element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " } var existing_scripts = []\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + " existing_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", + " }\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (const name in js_exports) {\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", + " if (!js_urls.length && !js_modules.length) {\n", + " on_load()\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.5.5/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.6.2.min.js\", 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Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " }\n", + " root._bokeh_is_initializing = false\n", + " }\n", + "\n", + " function load_or_wait() {\n", + " // Implement a backoff loop that tries to ensure we do not load multiple\n", + " // versions of Bokeh and its dependencies at the same time.\n", + " // In recent versions we use the root._bokeh_is_initializing flag\n", + " // to determine whether there is an ongoing attempt to initialize\n", + " // bokeh, however for backward compatibility we also try to ensure\n", + " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", + " // before older versions are fully initialized.\n", + " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_is_initializing = false;\n", + " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", + " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", + " load_or_wait();\n", + " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", + " setTimeout(load_or_wait, 100);\n", + " } else {\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", + " if (!reloading && !bokeh_loaded) {\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const py_version = '3.6.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && 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\"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.6.2.min.js\", \"https://cdn.holoviz.org/panel/1.5.5/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "\n", + "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n", + " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n", + "}\n", + "\n", + "\n", + " function JupyterCommManager() {\n", + " }\n", + "\n", + " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", + " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + " var buffers = []\n", + " for (var buffer of message.buffers || []) {\n", + " buffers.push(new DataView(buffer))\n", + " }\n", + " var metadata = message.metadata || {};\n", + " var msg = {content, buffers, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " })\n", + " }\n", + " }\n", + "\n", + " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n", + " if (comm_id in window.PyViz.comms) {\n", + " return window.PyViz.comms[comm_id];\n", + " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n", + " if (msg_handler) {\n", + " comm.on_msg(msg_handler);\n", + " }\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n", + " comm.open();\n", + " if (msg_handler) {\n", + " comm.onMsg = msg_handler;\n", + " }\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " var comm_promise = google.colab.kernel.comms.open(comm_id)\n", + " comm_promise.then((comm) => {\n", + " window.PyViz.comms[comm_id] = comm;\n", + " if (msg_handler) {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " var content = {data: message.data};\n", + " var metadata = message.metadata || {comm_id};\n", + " var msg = {content, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " }) \n", + " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", + " return comm_promise.then((comm) => {\n", + " comm.send(data, metadata, buffers, disposeOnDone);\n", + " });\n", + " };\n", + " var comm = {\n", + " send: sendClosure\n", + " };\n", + " }\n", + " window.PyViz.comms[comm_id] = comm;\n", + " return comm;\n", + " }\n", + " window.PyViz.comm_manager = new JupyterCommManager();\n", + " \n", + "\n", + "\n", + "var JS_MIME_TYPE = 'application/javascript';\n", + "var HTML_MIME_TYPE = 'text/html';\n", + "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", + "var CLASS_NAME = 'output';\n", + "\n", + "/**\n", + " * Render data to the DOM node\n", + " */\n", + "function render(props, node) {\n", + " var div = document.createElement(\"div\");\n", + " var script = document.createElement(\"script\");\n", + " node.appendChild(div);\n", + " node.appendChild(script);\n", + "}\n", + "\n", + "/**\n", + " * Handle when a new output is added\n", + " */\n", + "function handle_add_output(event, handle) {\n", + " var output_area = handle.output_area;\n", + " var output = handle.output;\n", + " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " if (id !== undefined) {\n", + " var nchildren = toinsert.length;\n", + " var html_node = toinsert[nchildren-1].children[0];\n", + " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var scripts = [];\n", + " var nodelist = html_node.querySelectorAll(\"script\");\n", + " for (var i in nodelist) {\n", + " if (nodelist.hasOwnProperty(i)) {\n", + " scripts.push(nodelist[i])\n", + " }\n", + " }\n", + "\n", + " scripts.forEach( function (oldScript) {\n", + " var newScript = document.createElement(\"script\");\n", + " var attrs = [];\n", + " var nodemap = oldScript.attributes;\n", + " for (var j in nodemap) {\n", + " if (nodemap.hasOwnProperty(j)) {\n", + " attrs.push(nodemap[j])\n", + " }\n", + " }\n", + " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", + " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", + " oldScript.parentNode.replaceChild(newScript, oldScript);\n", + " });\n", + " if (JS_MIME_TYPE in output.data) {\n", + " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", + " }\n", + " output_area._hv_plot_id = id;\n", + " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n", + " window.PyViz.plot_index[id] = Bokeh.index[id];\n", + " } else {\n", + " window.PyViz.plot_index[id] = null;\n", + " }\n", + " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " var bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var script_attrs = bk_div.children[0].attributes;\n", + " for (var i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + "function handle_clear_output(event, handle) {\n", + " var id = handle.cell.output_area._hv_plot_id;\n", + " var server_id = handle.cell.output_area._bokeh_server_id;\n", + " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n", + " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n", + " if (server_id !== null) {\n", + " comm.send({event_type: 'server_delete', 'id': server_id});\n", + " return;\n", + " } else if (comm !== null) {\n", + " comm.send({event_type: 'delete', 'id': id});\n", + " }\n", + " delete PyViz.plot_index[id];\n", + " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n", + " var doc = window.Bokeh.index[id].model.document\n", + " doc.clear();\n", + " const i = window.Bokeh.documents.indexOf(doc);\n", + " if (i > -1) {\n", + " window.Bokeh.documents.splice(i, 1);\n", + " }\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle kernel restart event\n", + " */\n", + "function handle_kernel_cleanup(event, handle) {\n", + " delete PyViz.comms[\"hv-extension-comm\"];\n", + " window.PyViz.plot_index = {}\n", + "}\n", + "\n", + "/**\n", + " * Handle update_display_data messages\n", + " */\n", + "function handle_update_output(event, handle) {\n", + " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n", + " handle_add_output(event, handle)\n", + "}\n", + "\n", + "function register_renderer(events, OutputArea) {\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " var toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[0]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " events.on('output_added.OutputArea', handle_add_output);\n", + " events.on('output_updated.OutputArea', handle_update_output);\n", + " events.on('clear_output.CodeCell', handle_clear_output);\n", + " events.on('delete.Cell', handle_clear_output);\n", + " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", + "\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " safe: true,\n", + " index: 0\n", + " });\n", + "}\n", + "\n", + "if (window.Jupyter !== undefined) {\n", + " try {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " } catch(err) {\n", + " }\n", + "}\n" + ], + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
\n", + "
\n", + "
\n", + "" + ] + }, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "62d8a622-ab4d-4fcc-94e3-87c74f98bac5" + } + }, + "output_type": "display_data" + } + ], "source": [ "# For searching NASA data\n", "import earthaccess\n", @@ -101,6 +712,59 @@ "import pprint" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a6f8425-f907-4fec-96da-6473a74089b7", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip uninstall -y earthaccess\n", + "# !pip install earthaccess==0.13.0" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b5e30d63-e454-4615-83c0-40cc75ceb093", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.12.0'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "earthaccess.__version__" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f9772a8c-88a7-4cd2-b53d-6fd9bff3cc88", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2024.11.0'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "xr.__version__" + ] + }, { "cell_type": "markdown", "id": "15ae2994", @@ -119,7 +783,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "37d6a667", "metadata": {}, "outputs": [], @@ -143,7 +807,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "7e80e935", "metadata": { "tags": [] @@ -167,10 +831,130 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "f54b13d9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{ 'concept-id': 'C2559919423-NSIDC_ECS',\n", + " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", + " \"'FormatDescription': 'HTTPS'}]\",\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", + " 'http://openaltimetry.org/',\n", + " 'https://nsidc.org/data/data-access-tool/ATL03/versions/6/'],\n", + " 'short-name': 'ATL03',\n", + " 'version': '006'}\n", + "\n", + "{ 'cloud-info': { 'Region': 'us-west-2',\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL03/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL03/006'],\n", + " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", + " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", + " 'concept-id': 'C2596864127-NSIDC_CPRD',\n", + " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", + " \"'FormatDescription': 'HTTPS'}]\",\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2596864127-NSIDC_CPRD'],\n", + " 'short-name': 'ATL03',\n", + " 'version': '006'}\n", + "\n", + "{ 'concept-id': 'C2565090645-NSIDC_ECS',\n", + " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", + " \"'FormatDescription': 'HTTPS'}]\",\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL08.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", + " 'https://openaltimetry.org/',\n", + " 'https://nsidc.org/data/data-access-tool/ATL08/versions/6/'],\n", + " 'short-name': 'ATL08',\n", + " 'version': '006'}\n", + "\n", + "{ 'cloud-info': { 'Region': 'us-west-2',\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL08/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL08/006'],\n", + " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", + " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", + " 'concept-id': 'C2613553260-NSIDC_CPRD',\n", + " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", + " \"'FormatDescription': 'HTTPS'}]\",\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2613553260-NSIDC_CPRD'],\n", + " 'short-name': 'ATL08',\n", + " 'version': '006'}\n", + "\n", + "{ 'concept-id': 'C2564427300-NSIDC_ECS',\n", + " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", + " \"'FormatDescription': 'HTTPS'}]\",\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL06.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL06+V006',\n", + " 'https://openaltimetry.org/',\n", + " 'https://nsidc.org/data/data-access-tool/ATL06/versions/6/'],\n", + " 'short-name': 'ATL06',\n", + " 'version': '006'}\n", + "\n", + "{ 'cloud-info': { 'Region': 'us-west-2',\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL06/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL06/006'],\n", + " 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+       "Dimensions:  ()\n",
+       "Data variables:\n",
+       "    *empty*\n",
+       "Attributes: (12/48)\n",
+       "    short_name:                         ATL06\n",
+       "    level:                              L3A\n",
+       "    title:                              ATLAS/ICESat-2 L3A Land Ice Height\n",
+       "    description:                        This data set (ATL06) provides geoloc...\n",
+       "    Conventions:                        CF-1.6\n",
+       "    contributor_name:                   Thomas A Neumann (thomas.neumann@nasa...\n",
+       "    ...                                 ...\n",
+       "    processing_level:                   3A\n",
+       "    references:                         http://nsidc.org/data/icesat2/data.html\n",
+       "    project:                            ICESat-2 > Ice, Cloud, and land Eleva...\n",
+       "    instrument:                         ATLAS > Advanced Topographic Laser Al...\n",
+       "    platform:                           ICESat-2 > Ice, Cloud, and land Eleva...\n",
+       "    source:                             Spacecraft
" + ], + "text/plain": [ + "\n", + "Group: /\n", + "│ Attributes: (12/48)\n", + "│ short_name: ATL06\n", + "│ level: L3A\n", + "│ title: ATLAS/ICESat-2 L3A Land Ice Height\n", + "│ description: This data set (ATL06) provides geoloc...\n", + "│ Conventions: CF-1.6\n", + "│ contributor_name: Thomas A Neumann (thomas.neumann@nasa...\n", + "│ ... ...\n", + "│ processing_level: 3A\n", + "│ references: http://nsidc.org/data/icesat2/data.html\n", + "│ project: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ instrument: ATLAS > Advanced Topographic Laser Al...\n", + "│ platform: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ source: Spacecraft\n", + "├── Group: /ancillary_data\n", + "│ │ Dimensions: (phony_dim_0: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_0\n", + "│ │ Data variables: (12/25)\n", + "│ │ atlas_sdp_gps_epoch (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ control (phony_dim_0) |S100000 100kB ...\n", + "│ │ data_end_utc (phony_dim_0) |S27 27B ...\n", + "│ │ data_start_utc (phony_dim_0) |S27 27B ...\n", + "│ │ end_cycle (phony_dim_0) int32 4B ...\n", + "│ │ end_delta_time (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ ... ...\n", + "│ │ start_gpssow (phony_dim_0) timedelta64[ns] 8B ...\n", + "│ │ start_gpsweek (phony_dim_0) int32 4B ...\n", + "│ │ start_orbit (phony_dim_0) int32 4B ...\n", + "│ │ start_region (phony_dim_0) int32 4B ...\n", + "│ │ start_rgt (phony_dim_0) int32 4B ...\n", + "│ │ version (phony_dim_0) |S80 80B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains information ancillary to the data product. This ma...\n", + "│ │ data_rate: Data within this group pertain to the granule in its entirety.\n", + "│ └── Group: /ancillary_data/land_ice\n", + "│ Dimensions: (phony_dim_1: 1, phony_dim_2: 6)\n", + "│ Dimensions without coordinates: phony_dim_1, phony_dim_2\n", + "│ Data variables: (12/24)\n", + "│ dt_hist (phony_dim_1) timedelta64[ns] 8B ...\n", + "│ fit_maxiter (phony_dim_1) int32 4B ...\n", + "│ fpb_maxiter (phony_dim_1) int32 4B ...\n", + "│ max_res_ids (phony_dim_1) int32 4B ...\n", + "│ min_dist (phony_dim_1) float32 4B ...\n", + "│ min_gain_th (phony_dim_1) float32 4B ...\n", + "│ ... ...\n", + "│ qs_lim_sss (phony_dim_1) int32 4B ...\n", + "│ rbin_width (phony_dim_1) float32 4B ...\n", + "│ sigma_beam (phony_dim_1) float32 4B ...\n", + "│ sigma_tx (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ t_dead (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ txp_maxiter (phony_dim_1) int32 4B ...\n", + "│ Attributes:\n", + "│ Description: Contains land-ice-specific information ancillary to the da...\n", + "├── Group: /orbit_info\n", + "│ Dimensions: (phony_dim_5: 11, crossing_time: 1, sc_orient_time: 1)\n", + "│ Coordinates:\n", + "│ * crossing_time (crossing_time) datetime64[ns] 8B 2020-03-12T23:26...\n", + "│ * sc_orient_time (sc_orient_time) datetime64[ns] 8B 2020-03-11T23:3...\n", + "│ Dimensions without coordinates: phony_dim_5\n", + "│ Data variables:\n", + "│ bounding_polygon_lat1 (phony_dim_5) float64 88B ...\n", + "│ bounding_polygon_lon1 (phony_dim_5) float64 88B ...\n", + "│ cycle_number (crossing_time) int8 1B ...\n", + "│ lan (crossing_time) float64 8B ...\n", + "│ orbit_number (crossing_time) uint16 2B ...\n", + "│ rgt (crossing_time) int16 2B ...\n", + "│ sc_orient (sc_orient_time) int8 1B ...\n", + "│ Attributes:\n", + "│ Description: Contains data that are common among all beams for the granu...\n", + "│ data_rate: These parameters are constant for a given granule.\n", + "├── Group: /quality_assessment\n", + "│ │ Dimensions: (phony_dim_6: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_6\n", + "│ │ Data variables:\n", + "│ │ qa_granule_fail_reason (phony_dim_6) int32 4B ...\n", + "│ │ qa_granule_pass_fail (phony_dim_6) int32 4B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1l\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1r\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2l\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2r\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt3l\n", + "│ │ Dimensions: (delta_time: 3331)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ │ lat_mean (delta_time) float64 27kB ...\n", + "│ │ lon_mean (delta_time) float64 27kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ └── Group: /quality_assessment/gt3r\n", + "│ Dimensions: (delta_time: 3331)\n", + "│ Coordinates:\n", + "│ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ lat_mean (delta_time) float64 27kB ...\n", + "│ lon_mean (delta_time) float64 27kB ...\n", + "│ Data variables:\n", + "│ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ Attributes:\n", + "│ Description: Contains quality assessment data. This may include QA count...\n", + "├── Group: /METADATA\n", + "│ │ Attributes:\n", + "│ │ Description: ISO19115 Structured Metadata Represented within HDF5\n", + "│ │ iso_19139_dataset_xml: \\n\\n ICESat-2 Science Investigator-...\n", + "│ │ abstract: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ purpose: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ credit: The software that generates the ATL06 produc...\n", + "│ │ status: onGoing\n", + "│ │ topicCategory: geoscientificInformation\n", + "│ ├── Group: /METADATA/Extent\n", + "│ │ Attributes:\n", + "│ │ northBoundLatitude: 59.505969426283016\n", + "│ │ eastBoundLongitude: -133.41952635398133\n", + "│ │ southBoundLatitude: 53.738297674819215\n", + "│ │ westBoundLongitude: -134.57344124844843\n", + "│ │ rangeBeginningDateTime: 2020-03-12T23:40:36.093343Z\n", + "│ │ rangeEndingDateTime: 2020-03-12T23:42:07.293395Z\n", + "│ ├── Group: /METADATA/Lineage\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-01\n", + "│ │ │ Attributes:\n", + "│ │ │ description: MERIT 3 arcsec Digital Elevation Model reformatted into HDF...\n", + "│ │ │ fileName: merit_3as_20200617_001_01.h5\n", + "│ │ │ shortName: ANC06-01\n", + "│ │ │ uuid: 3db8ab65-d2ac-37c7-86db-17c762268673\n", + "│ │ │ version: 20200617\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-02\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ArcticDEM 32m Digital Elevation Model reformatted into HDF5.\n", + "│ │ │ fileName: arcticdem32m_20190611_001_01.h5\n", + "│ │ │ shortName: ANC06-02\n", + "│ │ │ uuid: ce07ef72-0bf4-353b-8475-fb568b029905\n", + "│ │ │ version: 20190611\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-03\n", + "│ │ │ Attributes:\n", + "│ │ │ description: REMA Antarctica 100m Digital Elevation Model filled and ref...\n", + "│ │ │ fileName: atl06rema100m_20190628_001_01.h5\n", + "│ │ │ shortName: ANC06-03\n", + "│ │ │ uuid: 3e0a81bd-bbd5-35fa-b868-3254f9355b7f\n", + "│ │ │ version: 20190628\n", + "│ │ ├── Group: /METADATA/Lineage/ANC17\n", + "│ │ │ Attributes:\n", + "│ │ │ description: Land Ice Height SNR Significance Table\n", + "│ │ │ fileName: anc17_snr_f_20170718_001_01.h5\n", + "│ │ │ shortName: ANC17\n", + "│ │ │ uuid: 52fe4165-bac0-3dc9-a9b3-921a591a7dc5\n", + "│ │ │ version: 20170718\n", + "│ │ ├── Group: /METADATA/Lineage/ANC19\n", + "│ │ │ Attributes:\n", + "│ │ │ description: TAI to UTC leapsecond file retrieved from ftp://maia.usno.n...\n", + "│ │ │ fileName: tai_utc_2017.dat\n", + "│ │ │ shortName: ANC19\n", + "│ │ │ uuid: 7c66d365-278a-31f7-8fe4-9c80e2f012e5\n", + "│ │ │ version: 001\n", + "│ │ ├── Group: /METADATA/Lineage/ANC25-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC25-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC25-06\n", + "│ │ │ uuid: 9db0c967-58c7-3790-9da3-330c676dd945\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC26-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC26-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC26-06\n", + "│ │ │ uuid: 8c74faba-540a-3fbc-99fb-0f4c75cf73e6\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC28\n", + "│ │ │ Attributes:\n", + "│ │ │ description: DTU Mean Sea Surface re-referenced to the WGS84 ellipsoid.\n", + "│ │ │ fileName: dtu13_20180705_001_01.nc\n", + "│ │ │ shortName: ANC28\n", + "│ │ │ uuid: 56f47040-a72e-3109-99c2-bc1658e6dda4\n", + "│ │ │ version: 20180705\n", + "│ │ ├── Group: /METADATA/Lineage/ANC36-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing Series-level metadata informa...\n", + "│ │ │ fileName: ANC36-06_20221227213239_006_02.xml\n", + "│ │ │ shortName: ANC36-06\n", + "│ │ │ uuid: 4ba221ce-277c-368a-b763-9fd5d1e89790\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ANC38-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing DataSet-level metadata inform...\n", + "│ │ │ fileName: ANC38-06_20221227213240_006_03.xml\n", + "│ │ │ shortName: ANC38-06\n", + "│ │ │ uuid: c5ea6ed4-baea-36c2-9391-a62df10035ea\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ATL03\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L2A Global Geolocated Photon data products.\n", + "│ │ │ fileName: ATL03_20200312233336_11800602_006_01.h5\n", + "│ │ │ shortName: ATL03\n", + "│ │ │ uuid: 9fa02c99-3e16-331b-91eb-35e228bae45d\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 2\n", + "│ │ │ end_region: 2\n", + "│ │ │ start_geoseg: 149699\n", + "│ │ │ end_geoseg: 330714\n", + "│ │ ├── Group: /METADATA/Lineage/ATL09\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L3A atmosphere data products.\n", + "│ │ │ fileName: ATL09_20200312232634_11800601_006_01.h5\n", + "│ │ │ shortName: ATL09\n", + "│ │ │ uuid: ec7d16ab-aede-3146-8997-ce4dbc35342a\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 1\n", + "│ │ │ end_region: 14\n", + "│ │ │ start_geoseg: 9\n", + "│ │ │ end_geoseg: 2007126\n", + "│ │ └── Group: /METADATA/Lineage/Control\n", + "│ │ Attributes:\n", + "│ │ description: Text-based keyword=value file generated automatically withi...\n", + "│ │ fileName: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ shortName: CNTL\n", + "│ │ version: 1\n", + "│ ├── Group: /METADATA/ProcessStep\n", + "│ │ ├── Group: /METADATA/ProcessStep/Browse\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Browse processing is performed for each granule SIPS...\n", + "│ │ │ identifier: atlas_brw\n", + "│ │ │ softwareVersion: Version 3.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS HDF5 browse files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:04.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/Metadata\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Metadata information is processed by the metadata ut...\n", + "│ │ │ identifier: atlas_meta\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS XML metadata files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:12.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/PGE\n", + "│ │ │ Attributes:\n", + "│ │ │ ATBDDate: 12/04/2019\n", + "│ │ │ ATBDTitle: Algorithm Theoretical Basis Document (ATBD) For Land...\n", + "│ │ │ ATBDVersion: N/A\n", + "│ │ │ documentDate: Feb 2020\n", + "│ │ │ documentation: ATLAS Science Algorithm Software Design Description ...\n", + "│ │ │ processDescription: Computes surface heights for each beam, along and ac...\n", + "│ │ │ identifier: atlas_l3a_is\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: ASAS L3A Icesheet PGE\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:27:14.000000Z\n", + "│ │ └── Group: /METADATA/ProcessStep/QA\n", + "│ │ Attributes:\n", + "│ │ processDescription: QA processing is performed by an external utility on...\n", + "│ │ identifier: atl06_qa_util\n", + "│ │ softwareVersion: Version 5.0\n", + "│ │ softwareDate: Sep 21 2022\n", + "│ │ softwareTitle: ATL06 QA Utility\n", + "│ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ stepDateTime: 2023-04-30T05:34:02.000000Z\n", + "│ ├── Group: /METADATA/ProductSpecificationDocument\n", + "│ │ Attributes:\n", + "│ │ ShortName: ATL06_SDP\n", + "│ │ characterSet: utf8\n", + "│ │ edition: v4.3\n", + "│ │ language: eng\n", + "│ │ publicationDate: Feb 2020\n", + "│ │ title: ICESat-2-SIPS-SPEC-4260 - ATLAS Science Algorithm Stand...\n", + "│ ├── Group: /METADATA/QADatasetIdentification\n", + "│ │ Attributes:\n", + "│ │ abstract: An ASCII product that contains statistical information on ...\n", + "│ │ creationDate: 2023-04-30T05:34:02.000000Z\n", + "│ │ fileName: ATL06_20200312233336_11800602_006_01.qa\n", + "│ └── Group: /METADATA/SeriesIdentification\n", + "│ Attributes: (12/19)\n", + "│ maintenanceAndUpdateFrequency: asNeeded\n", + "│ maintenanceDate: SET_BY_META\n", + "│ VersionID: 006\n", + "│ language: eng\n", + "│ characterSet: utf8\n", + "│ pointOfContact: NSIDC DAAC > NASA National Snow and Ic...\n", + "│ ... ...\n", + "│ credit: The software that generates the ATL06 ...\n", + "│ status: onGoing\n", + "│ format: HDF\n", + "│ formatVersion: 5\n", + "│ topicCategory: geoscientificInformation\n", + "│ mission: ICESat-2 > Ice, Cloud, and land Elevat...\n", + "├── Group: /gt1l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt1l\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 6\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2332, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:48.720...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 187kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1l/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt1r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt1r\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 5\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2600, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 21kB 2020-03-12T23:40:39.900...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 21kB ...\n", + "│ │ lon_mean (delta_time) float64 21kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 16MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 208kB ...\n", + "│ │ x_atc_mean (delta_time) float64 21kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1r/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt2l\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 4\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2364, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.692...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 189kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2l/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt2r\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 3\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2781, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020-03-12T23:40:28.745...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 11kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 17MB ...\n", + "│ │ pulse_count (delta_time) float32 11kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 222kB ...\n", + "│ │ x_atc_mean (delta_time) float64 22kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2r/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt3l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce1\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt3l\n", + "│ │ atmosphere_profile: profile_3\n", + "│ │ atlas_spot_number: 2\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt3l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 209kB ...\n", + "│ │ │ longitude (delta_time) float64 209kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + "│ │ │ h_li (delta_time) float32 104kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 104kB ...\n", + "│ │ │ segment_id (delta_time) float64 209kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 104kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 26kB ...\n", + "│ │ │ dem_h (delta_time) float32 104kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ geoid_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 104kB ...\n", + "│ │ │ h_mean (delta_time) float32 104kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 26kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + "│ │ │ snr (delta_time) float32 104kB ...\n", + "│ │ │ snr_significance (delta_time) float32 104kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 104kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + "│ │ │ tide_load (delta_time) float32 104kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 104kB ...\n", + "│ │ │ tide_pole (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt3l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 26106)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 104kB ...\n", + "│ │ ref_coelv (delta_time) float32 104kB ...\n", + "│ │ seg_azimuth (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 104kB ...\n", + "│ │ x_atc (delta_time) float64 209kB ...\n", + "│ │ y_atc (delta_time) float32 104kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt3l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2418, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.096...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 193kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt3l/segment_quality\n", + "│ │ Dimensions: (delta_time: 32617)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 261kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 261kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 130kB ...\n", + "│ │ segment_id (delta_time) int32 130kB ...\n", + "│ │ signal_selection_source (delta_time) int8 33kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt3l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 32617)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 33kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 33kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 33kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "└── Group: /gt3r\n", + " │ Attributes:\n", + " │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + " │ atlas_pce: pce1\n", + " │ atlas_beam_type: strong\n", + " │ groundtrack_id: gt3r\n", + " │ atmosphere_profile: profile_3\n", + " │ atlas_spot_number: 1\n", + " │ sc_orientation: Forward\n", + " ├── Group: /gt3r/land_ice_segments\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Coordinates:\n", + " │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + " │ │ latitude (delta_time) float64 209kB ...\n", + " │ │ longitude (delta_time) float64 209kB ...\n", + " │ │ Data variables:\n", + " │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + " │ │ h_li (delta_time) float32 104kB ...\n", + " │ │ h_li_sigma (delta_time) float32 104kB ...\n", + " │ │ segment_id (delta_time) float64 209kB ...\n", + " │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + " │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + " │ ├── Group: /gt3r/land_ice_segments/bias_correction\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + " │ │ med_r_fit (delta_time) float32 104kB ...\n", + " │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + " │ │ tx_med_corr (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The bias_correction group contains information about the es...\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/dem\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ dem_flag (delta_time) int8 26kB ...\n", + " │ │ dem_h (delta_time) float32 104kB ...\n", + " │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + " │ │ geoid_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: Contains reference DEM and geoid heights.\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/fit_statistics\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/15)\n", + " │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + " │ │ h_expected_rms (delta_time) float32 104kB ...\n", + " │ │ h_mean (delta_time) float32 104kB ...\n", + " │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + " │ │ signal_selection_source (delta_time) int8 26kB ...\n", + " │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + " │ │ snr (delta_time) float32 104kB ...\n", + " │ │ snr_significance (delta_time) float32 104kB ...\n", + " │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ ├── Group: /gt3r/land_ice_segments/geophysical\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/20)\n", + " │ │ bckgrd (delta_time) float32 104kB ...\n", + " │ │ bsnow_conf (delta_time) float32 104kB ...\n", + " │ │ bsnow_h (delta_time) float32 104kB ...\n", + " │ │ bsnow_od (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ tide_earth (delta_time) float32 104kB ...\n", + " │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + " │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + " │ │ tide_load (delta_time) float32 104kB ...\n", + " │ │ tide_ocean (delta_time) float32 104kB ...\n", + " │ │ tide_pole (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ └── Group: /gt3r/land_ice_segments/ground_track\n", + " │ Dimensions: (delta_time: 26106)\n", + " │ Data variables:\n", + " │ ref_azimuth (delta_time) float32 104kB ...\n", + " │ ref_coelv (delta_time) float32 104kB ...\n", + " │ seg_azimuth (delta_time) float32 104kB ...\n", + " │ sigma_geo_at (delta_time) float32 104kB ...\n", + " │ sigma_geo_r (delta_time) float32 104kB ...\n", + " │ sigma_geo_xt (delta_time) float32 104kB ...\n", + " │ x_atc (delta_time) float64 209kB ...\n", + " │ y_atc (delta_time) float32 104kB ...\n", + " │ Attributes:\n", + " │ Description: The ground_track group contains parameters describing the G...\n", + " │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " ├── Group: /gt3r/residual_histogram\n", + " │ Dimensions: (delta_time: 3008, bin_top_h: 748, ds_segment_id: 10)\n", + " │ Coordinates:\n", + " │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + " │ * delta_time (delta_time) datetime64[ns] 24kB 2020-03-12T23:40:28.416...\n", + " │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + " │ lat_mean (delta_time) float64 24kB ...\n", + " │ lon_mean (delta_time) float64 24kB ...\n", + " │ Data variables:\n", + " │ bckgrd_per_m (delta_time) float32 12kB ...\n", + " │ count (delta_time, bin_top_h) float64 18MB ...\n", + " │ pulse_count (delta_time) float32 12kB ...\n", + " │ segment_id_list (delta_time, ds_segment_id) float64 241kB ...\n", + " │ x_atc_mean (delta_time) float64 24kB ...\n", + " │ Attributes:\n", + " │ Description: This group contains histograms of the residuals between PE ...\n", + " │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + " └── Group: /gt3r/segment_quality\n", + " │ Dimensions: (delta_time: 32617)\n", + " │ Coordinates:\n", + " │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + " │ reference_pt_lat (delta_time) float64 261kB ...\n", + " │ reference_pt_lon (delta_time) float64 261kB ...\n", + " │ Data variables:\n", + " │ record_number (delta_time) int32 130kB ...\n", + " │ segment_id (delta_time) int32 130kB ...\n", + " │ signal_selection_source (delta_time) int8 33kB ...\n", + " │ Attributes:\n", + " │ Description: The segment_quality group contains a dense record (i.e. for...\n", + " │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + " └── Group: /gt3r/segment_quality/signal_selection_status\n", + " Dimensions: (delta_time: 32617)\n", + " Data variables:\n", + " signal_selection_status_all (delta_time) int8 33kB ...\n", + " signal_selection_status_backup (delta_time) int8 33kB ...\n", + " signal_selection_status_confident (delta_time) int8 33kB ...\n", + " Attributes:\n", + " Description: The signal selection status subgroup contains the success o...\n", + " data_rate: Data within this group are stored at the ICESat-2 20m segme..." + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds = xr.open_datatree(files[1], phony_dims='sort')\n", + "# ds = xr.open_datatree(files[1], phony_dims='access')\n", + "#ds = xr.open_datatree(files[1])\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 10, "id": "11205bbb", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7dc352ded9c74159b077effea558f0e9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "QUEUEING TASKS | : 0%| | 0/4 [00:00\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + 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<xarray.DatasetView> Size: 0B\n",
+       "Dimensions:  ()\n",
+       "Data variables:\n",
+       "    *empty*\n",
+       "Attributes: (12/48)\n",
+       "    short_name:                         ATL06\n",
+       "    level:                              L3A\n",
+       "    title:                              ATLAS/ICESat-2 L3A Land Ice Height\n",
+       "    description:                        This data set (ATL06) provides geoloc...\n",
+       "    Conventions:                        CF-1.6\n",
+       "    contributor_name:                   Thomas A Neumann (thomas.neumann@nasa...\n",
+       "    ...                                 ...\n",
+       "    processing_level:                   3A\n",
+       "    references:                         http://nsidc.org/data/icesat2/data.html\n",
+       "    project:                            ICESat-2 > Ice, Cloud, and land Eleva...\n",
+       "    instrument:                         ATLAS > Advanced Topographic Laser Al...\n",
+       "    platform:                           ICESat-2 > Ice, Cloud, and land Eleva...\n",
+       "    source:                             Spacecraft
" + ], + "text/plain": [ + "\n", + "Group: /\n", + "│ Attributes: (12/48)\n", + "│ short_name: ATL06\n", + "│ level: L3A\n", + "│ title: ATLAS/ICESat-2 L3A Land Ice Height\n", + "│ description: This data set (ATL06) provides geoloc...\n", + "│ Conventions: CF-1.6\n", + "│ contributor_name: Thomas A Neumann (thomas.neumann@nasa...\n", + "│ ... ...\n", + "│ processing_level: 3A\n", + "│ references: http://nsidc.org/data/icesat2/data.html\n", + "│ project: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ instrument: ATLAS > Advanced Topographic Laser Al...\n", + "│ platform: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ source: Spacecraft\n", + "├── Group: /ancillary_data\n", + "│ │ Dimensions: (phony_dim_0: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_0\n", + "│ │ Data variables: (12/25)\n", + "│ │ atlas_sdp_gps_epoch (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ control (phony_dim_0) |S100000 100kB ...\n", + "│ │ data_end_utc (phony_dim_0) |S27 27B ...\n", + "│ │ data_start_utc (phony_dim_0) |S27 27B ...\n", + "│ │ end_cycle (phony_dim_0) int32 4B ...\n", + "│ │ end_delta_time (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ ... ...\n", + "│ │ start_gpssow (phony_dim_0) timedelta64[ns] 8B ...\n", + "│ │ start_gpsweek (phony_dim_0) int32 4B ...\n", + "│ │ start_orbit (phony_dim_0) int32 4B ...\n", + "│ │ start_region (phony_dim_0) int32 4B ...\n", + "│ │ start_rgt (phony_dim_0) int32 4B ...\n", + "│ │ version (phony_dim_0) |S80 80B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains information ancillary to the data product. This ma...\n", + "│ │ data_rate: Data within this group pertain to the granule in its entirety.\n", + "│ └── Group: /ancillary_data/land_ice\n", + "│ Dimensions: (phony_dim_1: 1, phony_dim_2: 6)\n", + "│ Dimensions without coordinates: phony_dim_1, phony_dim_2\n", + "│ Data variables: (12/24)\n", + "│ dt_hist (phony_dim_1) timedelta64[ns] 8B ...\n", + "│ fit_maxiter (phony_dim_1) int32 4B ...\n", + "│ fpb_maxiter (phony_dim_1) int32 4B ...\n", + "│ max_res_ids (phony_dim_1) int32 4B ...\n", + "│ min_dist (phony_dim_1) float32 4B ...\n", + "│ min_gain_th (phony_dim_1) float32 4B ...\n", + "│ ... ...\n", + "│ qs_lim_sss (phony_dim_1) int32 4B ...\n", + "│ rbin_width (phony_dim_1) float32 4B ...\n", + "│ sigma_beam (phony_dim_1) float32 4B ...\n", + "│ sigma_tx (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ t_dead (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ txp_maxiter (phony_dim_1) int32 4B ...\n", + "│ Attributes:\n", + "│ Description: Contains land-ice-specific information ancillary to the da...\n", + "├── Group: /orbit_info\n", + "│ Dimensions: (phony_dim_5: 11, crossing_time: 1, sc_orient_time: 1)\n", + "│ Coordinates:\n", + "│ * crossing_time (crossing_time) datetime64[ns] 8B 2020-03-12T23:26...\n", + "│ * sc_orient_time (sc_orient_time) datetime64[ns] 8B 2020-03-11T23:3...\n", + "│ Dimensions without coordinates: phony_dim_5\n", + "│ Data variables:\n", + "│ bounding_polygon_lat1 (phony_dim_5) float64 88B ...\n", + "│ bounding_polygon_lon1 (phony_dim_5) float64 88B ...\n", + "│ cycle_number (crossing_time) int8 1B ...\n", + "│ lan (crossing_time) float64 8B ...\n", + "│ orbit_number (crossing_time) uint16 2B ...\n", + "│ rgt (crossing_time) int16 2B ...\n", + "│ sc_orient (sc_orient_time) int8 1B ...\n", + "│ Attributes:\n", + "│ Description: Contains data that are common among all beams for the granu...\n", + "│ data_rate: These parameters are constant for a given granule.\n", + "├── Group: /quality_assessment\n", + "│ │ Dimensions: (phony_dim_6: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_6\n", + "│ │ Data variables:\n", + "│ │ qa_granule_fail_reason (phony_dim_6) int32 4B ...\n", + "│ │ qa_granule_pass_fail (phony_dim_6) int32 4B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1l\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1r\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2l\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2r\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt3l\n", + "│ │ Dimensions: (delta_time: 3331)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ │ lat_mean (delta_time) float64 27kB ...\n", + "│ │ lon_mean (delta_time) float64 27kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ └── Group: /quality_assessment/gt3r\n", + "│ Dimensions: (delta_time: 3331)\n", + "│ Coordinates:\n", + "│ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ lat_mean (delta_time) float64 27kB ...\n", + "│ lon_mean (delta_time) float64 27kB ...\n", + "│ Data variables:\n", + "│ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ Attributes:\n", + "│ Description: Contains quality assessment data. This may include QA count...\n", + "├── Group: /METADATA\n", + "│ │ Attributes:\n", + "│ │ Description: ISO19115 Structured Metadata Represented within HDF5\n", + "│ │ iso_19139_dataset_xml: \\n\\n ICESat-2 Science Investigator-...\n", + "│ │ abstract: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ purpose: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ credit: The software that generates the ATL06 produc...\n", + "│ │ status: onGoing\n", + "│ │ topicCategory: geoscientificInformation\n", + "│ ├── Group: /METADATA/Extent\n", + "│ │ Attributes:\n", + "│ │ northBoundLatitude: 59.505969426283016\n", + "│ │ eastBoundLongitude: -133.41952635398133\n", + "│ │ southBoundLatitude: 53.738297674819215\n", + "│ │ westBoundLongitude: -134.57344124844843\n", + "│ │ rangeBeginningDateTime: 2020-03-12T23:40:36.093343Z\n", + "│ │ rangeEndingDateTime: 2020-03-12T23:42:07.293395Z\n", + "│ ├── Group: /METADATA/Lineage\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-01\n", + "│ │ │ Attributes:\n", + "│ │ │ description: MERIT 3 arcsec Digital Elevation Model reformatted into HDF...\n", + "│ │ │ fileName: merit_3as_20200617_001_01.h5\n", + "│ │ │ shortName: ANC06-01\n", + "│ │ │ uuid: 3db8ab65-d2ac-37c7-86db-17c762268673\n", + "│ │ │ version: 20200617\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-02\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ArcticDEM 32m Digital Elevation Model reformatted into HDF5.\n", + "│ │ │ fileName: arcticdem32m_20190611_001_01.h5\n", + "│ │ │ shortName: ANC06-02\n", + "│ │ │ uuid: ce07ef72-0bf4-353b-8475-fb568b029905\n", + "│ │ │ version: 20190611\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-03\n", + "│ │ │ Attributes:\n", + "│ │ │ description: REMA Antarctica 100m Digital Elevation Model filled and ref...\n", + "│ │ │ fileName: atl06rema100m_20190628_001_01.h5\n", + "│ │ │ shortName: ANC06-03\n", + "│ │ │ uuid: 3e0a81bd-bbd5-35fa-b868-3254f9355b7f\n", + "│ │ │ version: 20190628\n", + "│ │ ├── Group: /METADATA/Lineage/ANC17\n", + "│ │ │ Attributes:\n", + "│ │ │ description: Land Ice Height SNR Significance Table\n", + "│ │ │ fileName: anc17_snr_f_20170718_001_01.h5\n", + "│ │ │ shortName: ANC17\n", + "│ │ │ uuid: 52fe4165-bac0-3dc9-a9b3-921a591a7dc5\n", + "│ │ │ version: 20170718\n", + "│ │ ├── Group: /METADATA/Lineage/ANC19\n", + "│ │ │ Attributes:\n", + "│ │ │ description: TAI to UTC leapsecond file retrieved from ftp://maia.usno.n...\n", + "│ │ │ fileName: tai_utc_2017.dat\n", + "│ │ │ shortName: ANC19\n", + "│ │ │ uuid: 7c66d365-278a-31f7-8fe4-9c80e2f012e5\n", + "│ │ │ version: 001\n", + "│ │ ├── Group: /METADATA/Lineage/ANC25-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC25-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC25-06\n", + "│ │ │ uuid: 9db0c967-58c7-3790-9da3-330c676dd945\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC26-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC26-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC26-06\n", + "│ │ │ uuid: 8c74faba-540a-3fbc-99fb-0f4c75cf73e6\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC28\n", + "│ │ │ Attributes:\n", + "│ │ │ description: DTU Mean Sea Surface re-referenced to the WGS84 ellipsoid.\n", + "│ │ │ fileName: dtu13_20180705_001_01.nc\n", + "│ │ │ shortName: ANC28\n", + "│ │ │ uuid: 56f47040-a72e-3109-99c2-bc1658e6dda4\n", + "│ │ │ version: 20180705\n", + "│ │ ├── Group: /METADATA/Lineage/ANC36-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing Series-level metadata informa...\n", + "│ │ │ fileName: ANC36-06_20221227213239_006_02.xml\n", + "│ │ │ shortName: ANC36-06\n", + "│ │ │ uuid: 4ba221ce-277c-368a-b763-9fd5d1e89790\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ANC38-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing DataSet-level metadata inform...\n", + "│ │ │ fileName: ANC38-06_20221227213240_006_03.xml\n", + "│ │ │ shortName: ANC38-06\n", + "│ │ │ uuid: c5ea6ed4-baea-36c2-9391-a62df10035ea\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ATL03\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L2A Global Geolocated Photon data products.\n", + "│ │ │ fileName: ATL03_20200312233336_11800602_006_01.h5\n", + "│ │ │ shortName: ATL03\n", + "│ │ │ uuid: 9fa02c99-3e16-331b-91eb-35e228bae45d\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 2\n", + "│ │ │ end_region: 2\n", + "│ │ │ start_geoseg: 149699\n", + "│ │ │ end_geoseg: 330714\n", + "│ │ ├── Group: /METADATA/Lineage/ATL09\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L3A atmosphere data products.\n", + "│ │ │ fileName: ATL09_20200312232634_11800601_006_01.h5\n", + "│ │ │ shortName: ATL09\n", + "│ │ │ uuid: ec7d16ab-aede-3146-8997-ce4dbc35342a\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 1\n", + "│ │ │ end_region: 14\n", + "│ │ │ start_geoseg: 9\n", + "│ │ │ end_geoseg: 2007126\n", + "│ │ └── Group: /METADATA/Lineage/Control\n", + "│ │ Attributes:\n", + "│ │ description: Text-based keyword=value file generated automatically withi...\n", + "│ │ fileName: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ shortName: CNTL\n", + "│ │ version: 1\n", + "│ ├── Group: /METADATA/ProcessStep\n", + "│ │ ├── Group: /METADATA/ProcessStep/Browse\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Browse processing is performed for each granule SIPS...\n", + "│ │ │ identifier: atlas_brw\n", + "│ │ │ softwareVersion: Version 3.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS HDF5 browse files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:04.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/Metadata\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Metadata information is processed by the metadata ut...\n", + "│ │ │ identifier: atlas_meta\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS XML metadata files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:12.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/PGE\n", + "│ │ │ Attributes:\n", + "│ │ │ ATBDDate: 12/04/2019\n", + "│ │ │ ATBDTitle: Algorithm Theoretical Basis Document (ATBD) For Land...\n", + "│ │ │ ATBDVersion: N/A\n", + "│ │ │ documentDate: Feb 2020\n", + "│ │ │ documentation: ATLAS Science Algorithm Software Design Description ...\n", + "│ │ │ processDescription: Computes surface heights for each beam, along and ac...\n", + "│ │ │ identifier: atlas_l3a_is\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: ASAS L3A Icesheet PGE\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:27:14.000000Z\n", + "│ │ └── Group: /METADATA/ProcessStep/QA\n", + "│ │ Attributes:\n", + "│ │ processDescription: QA processing is performed by an external utility on...\n", + "│ │ identifier: atl06_qa_util\n", + "│ │ softwareVersion: Version 5.0\n", + "│ │ softwareDate: Sep 21 2022\n", + "│ │ softwareTitle: ATL06 QA Utility\n", + "│ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ stepDateTime: 2023-04-30T05:34:02.000000Z\n", + "│ ├── Group: /METADATA/ProductSpecificationDocument\n", + "│ │ Attributes:\n", + "│ │ ShortName: ATL06_SDP\n", + "│ │ characterSet: utf8\n", + "│ │ edition: v4.3\n", + "│ │ language: eng\n", + "│ │ publicationDate: Feb 2020\n", + "│ │ title: ICESat-2-SIPS-SPEC-4260 - ATLAS Science Algorithm Stand...\n", + "│ ├── Group: /METADATA/QADatasetIdentification\n", + "│ │ Attributes:\n", + "│ │ abstract: An ASCII product that contains statistical information on ...\n", + "│ │ creationDate: 2023-04-30T05:34:02.000000Z\n", + "│ │ fileName: ATL06_20200312233336_11800602_006_01.qa\n", + "│ └── Group: /METADATA/SeriesIdentification\n", + "│ Attributes: (12/19)\n", + "│ maintenanceAndUpdateFrequency: asNeeded\n", + "│ maintenanceDate: SET_BY_META\n", + "│ VersionID: 006\n", + "│ language: eng\n", + "│ characterSet: utf8\n", + "│ pointOfContact: NSIDC DAAC > NASA National Snow and Ic...\n", + "│ ... ...\n", + "│ credit: The software that generates the ATL06 ...\n", + "│ status: onGoing\n", + "│ format: HDF\n", + "│ formatVersion: 5\n", + "│ topicCategory: geoscientificInformation\n", + "│ mission: ICESat-2 > Ice, Cloud, and land Elevat...\n", + "├── Group: /gt1l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt1l\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 6\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2332, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:48.720...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 187kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1l/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt1r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt1r\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 5\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2600, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 21kB 2020-03-12T23:40:39.900...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 21kB ...\n", + "│ │ lon_mean (delta_time) float64 21kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 16MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 208kB ...\n", + "│ │ x_atc_mean (delta_time) float64 21kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1r/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt2l\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 4\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2364, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.692...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 189kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2l/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt2r\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 3\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2781, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020-03-12T23:40:28.745...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 11kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 17MB ...\n", + "│ │ pulse_count (delta_time) float32 11kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 222kB ...\n", + "│ │ x_atc_mean (delta_time) float64 22kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2r/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt3l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce1\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt3l\n", + "│ │ atmosphere_profile: profile_3\n", + "│ │ atlas_spot_number: 2\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt3l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 209kB ...\n", + "│ │ │ longitude (delta_time) float64 209kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + "│ │ │ h_li (delta_time) float32 104kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 104kB ...\n", + "│ │ │ segment_id (delta_time) float64 209kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 104kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 26kB ...\n", + "│ │ │ dem_h (delta_time) float32 104kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ geoid_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 104kB ...\n", + "│ │ │ h_mean (delta_time) float32 104kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 26kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + "│ │ │ snr (delta_time) float32 104kB ...\n", + "│ │ │ snr_significance (delta_time) float32 104kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 104kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + "│ │ │ tide_load (delta_time) float32 104kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 104kB ...\n", + "│ │ │ tide_pole (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt3l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 26106)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 104kB ...\n", + "│ │ ref_coelv (delta_time) float32 104kB ...\n", + "│ │ seg_azimuth (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 104kB ...\n", + "│ │ x_atc (delta_time) float64 209kB ...\n", + "│ │ y_atc (delta_time) float32 104kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt3l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2418, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.096...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 193kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt3l/segment_quality\n", + "│ │ Dimensions: (delta_time: 32617)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 261kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 261kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 130kB ...\n", + "│ │ segment_id (delta_time) int32 130kB ...\n", + "│ │ signal_selection_source (delta_time) int8 33kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt3l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 32617)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 33kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 33kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 33kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "└── Group: /gt3r\n", + " │ Attributes:\n", + " │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + " │ atlas_pce: pce1\n", + " │ atlas_beam_type: strong\n", + " │ groundtrack_id: gt3r\n", + " │ atmosphere_profile: profile_3\n", + " │ atlas_spot_number: 1\n", + " │ sc_orientation: Forward\n", + " ├── Group: /gt3r/land_ice_segments\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Coordinates:\n", + " │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + " │ │ latitude (delta_time) float64 209kB ...\n", + " │ │ longitude (delta_time) float64 209kB ...\n", + " │ │ Data variables:\n", + " │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + " │ │ h_li (delta_time) float32 104kB ...\n", + " │ │ h_li_sigma (delta_time) float32 104kB ...\n", + " │ │ segment_id (delta_time) float64 209kB ...\n", + " │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + " │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + " │ ├── Group: /gt3r/land_ice_segments/bias_correction\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + " │ │ med_r_fit (delta_time) float32 104kB ...\n", + " │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + " │ │ tx_med_corr (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The bias_correction group contains information about the es...\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/dem\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ dem_flag (delta_time) int8 26kB ...\n", + " │ │ dem_h (delta_time) float32 104kB ...\n", + " │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + " │ │ geoid_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: Contains reference DEM and geoid heights.\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/fit_statistics\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/15)\n", + " │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + " │ │ h_expected_rms (delta_time) float32 104kB ...\n", + " │ │ h_mean (delta_time) float32 104kB ...\n", + " │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + " │ │ signal_selection_source (delta_time) int8 26kB ...\n", + " │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + " │ │ snr (delta_time) float32 104kB ...\n", + " │ │ snr_significance (delta_time) float32 104kB ...\n", + " │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ ├── Group: /gt3r/land_ice_segments/geophysical\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/20)\n", + " │ │ bckgrd (delta_time) float32 104kB ...\n", + " │ │ bsnow_conf (delta_time) float32 104kB ...\n", + " │ │ bsnow_h (delta_time) float32 104kB ...\n", + " │ │ bsnow_od (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ tide_earth (delta_time) float32 104kB ...\n", + " │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + " │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + " │ │ tide_load (delta_time) float32 104kB ...\n", + " │ │ tide_ocean (delta_time) float32 104kB ...\n", + " │ │ tide_pole (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ └── Group: /gt3r/land_ice_segments/ground_track\n", + " │ Dimensions: (delta_time: 26106)\n", + " │ Data variables:\n", + " │ ref_azimuth (delta_time) float32 104kB ...\n", + " │ ref_coelv (delta_time) float32 104kB ...\n", + " │ seg_azimuth (delta_time) float32 104kB ...\n", + " │ sigma_geo_at (delta_time) float32 104kB ...\n", + " │ sigma_geo_r (delta_time) float32 104kB ...\n", + " │ sigma_geo_xt (delta_time) float32 104kB ...\n", + " │ x_atc (delta_time) float64 209kB ...\n", + " │ y_atc (delta_time) float32 104kB ...\n", + " │ Attributes:\n", + " │ Description: The ground_track group contains parameters describing the G...\n", + " │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " ├── Group: /gt3r/residual_histogram\n", + " │ Dimensions: (delta_time: 3008, bin_top_h: 748, ds_segment_id: 10)\n", + " │ Coordinates:\n", + " │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + " │ * delta_time (delta_time) datetime64[ns] 24kB 2020-03-12T23:40:28.416...\n", + " │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + " │ lat_mean (delta_time) float64 24kB ...\n", + " │ lon_mean (delta_time) float64 24kB ...\n", + " │ Data variables:\n", + " │ bckgrd_per_m (delta_time) float32 12kB ...\n", + " │ count (delta_time, bin_top_h) float64 18MB ...\n", + " │ pulse_count (delta_time) float32 12kB ...\n", + " │ segment_id_list (delta_time, ds_segment_id) float64 241kB ...\n", + " │ x_atc_mean (delta_time) float64 24kB ...\n", + " │ Attributes:\n", + " │ Description: This group contains histograms of the residuals between PE ...\n", + " │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + " └── Group: /gt3r/segment_quality\n", + " │ Dimensions: (delta_time: 32617)\n", + " │ Coordinates:\n", + " │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + " │ reference_pt_lat (delta_time) float64 261kB ...\n", + " │ reference_pt_lon (delta_time) float64 261kB ...\n", + " │ Data variables:\n", + " │ record_number (delta_time) int32 130kB ...\n", + " │ segment_id (delta_time) int32 130kB ...\n", + " │ signal_selection_source (delta_time) int8 33kB ...\n", + " │ Attributes:\n", + " │ Description: The segment_quality group contains a dense record (i.e. for...\n", + " │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + " └── Group: /gt3r/segment_quality/signal_selection_status\n", + " Dimensions: (delta_time: 32617)\n", + " Data variables:\n", + " signal_selection_status_all (delta_time) int8 33kB ...\n", + " signal_selection_status_backup (delta_time) int8 33kB ...\n", + " signal_selection_status_confident (delta_time) int8 33kB ...\n", + " Attributes:\n", + " Description: The signal selection status subgroup contains the success o...\n", + " data_rate: Data within this group are stored at the ICESat-2 20m segme..." + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "ds" ] @@ -329,12 +85467,105 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "be7386c3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
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\n", + "" + ], + "text/plain": [ + ":Scatter [longitude] (Land Ice height)" + ] + }, + "execution_count": 14, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "dbea2739-698c-43fc-94bd-725cb4837a44" + } + }, + "output_type": "execute_result" + } + ], "source": [ - "ds['h_li'].hvplot(kind='scatter', s=2)" + "ds['/gt1l/land_ice_segments/h_li'].hvplot(kind='scatter', s=2)" ] }, { @@ -394,7 +85625,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.11" } }, "nbformat": 4, From 4463453bae12dee5008878b15c1ce8618c3c5832 Mon Sep 17 00:00:00 2001 From: asteiker Date: Wed, 12 Feb 2025 20:57:29 +0000 Subject: [PATCH 2/5] update with xarray datatree guidance --- .../ATL06-direct-access.ipynb | 85295 +--------------- 1 file changed, 39 insertions(+), 85256 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb index b02bc2e..e4337ba 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb @@ -17,20 +17,18 @@ "\n", "## **1. Tutorial Overview**\n", "\n", - "**Note: This is an updated version of the notebook that was presented to the NSIDC DAAC User Working Group in May 2022**\n", - "\n", "This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. NASA data \"in the cloud\" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. **Direct Access** is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing. \n", "\n", "The Amazon Global cloud is divided into geographical regions. To have direct access to data stored in a region, our compute instance - a virtual computer that we create to perform processing operations in place of using our own desktop or laptop - must be in the same region as the data. This is a fundamental concept of _analysis in place_. **NASA cloud-hosted data is in Amazon Region us-west2. So your compute instance must also be in us-west2.** If we wanted to use data stored in another region, to use direct access for that data, we would start a compute instance in that region.\n", "\n", "As an example data collection, we use ICESat-2 Land Ice Height (ATL06) over the Juneau Icefield, AK, for March 2003. ICESat-2 data granules, including ATL06, are stored in HDF5 format. We demonstrate how to open an HDF5 granule and access data variables using `xarray`. Land Ice Heights are then plotted using `hvplot`. \n", "\n", - "`earthaccess` is a package developed by Luis Lopez (NSIDC developer) to allow easy search of the NASA Common Metadata Repository (CMR) and download of NASA data collections. It can be used for programmatic search and access for both _DAAC-hosted_ and _cloud-hosted_ data. It manages authenticating using Earthdata Login credentials which are then used to obtain the S3 tokens that are needed for S3 direct access. https://github.com/nsidc/earthaccess\n", + "`earthaccess` is a community-developed Python package developed by Luis Lopez (NSIDC developer) to allow easy search of the NASA Common Metadata Repository (CMR) and download of NASA data collections. It can be used for programmatic search and access for both _on-premises-hosted_ and _cloud-hosted_ data. It manages authenticating using Earthdata Login credentials which are then used to obtain the S3 tokens that are needed for S3 direct access. https://github.com/nsidc/earthaccess\n", "\n", "\n", "### **Credits**\n", "\n", - "The notebook was created by Andy Barrett, NSIDC, updated by Jennifer Roebuck, NSIDC, and is based on notebooks developed by Luis Lopez and Mikala Beig, NSIDC.\n", + "The notebook was created by Andy Barrett, NSIDC, updated by Jennifer Roebuck and Amy Steiker, NSIDC, and is based on notebooks developed by Luis Lopez and Mikala Beig, NSIDC.\n", "\n", "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues).\n", "\n", @@ -39,7 +37,7 @@ "By the end of this demonstration you will be able to: \n", "1. use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results; \n", "2. open data granules using direct access to the ICESat-2 S3 bucket; \n", - "3. load a HDF5 group into an `xarray.Dataset`; \n", + "3. load HDF5 data into an `xarray.Datatree` object;\n", "4. visualize the land ice heights using `hvplot`. \n", "\n", "### **Prerequisites**\n", @@ -87,621 +85,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "b00b7a6e", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " const force = true;\n", - " const py_version = '3.6.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", - " const reloading = false;\n", - " const Bokeh = root.Bokeh;\n", - "\n", - " // Set a timeout for this load but only if we are not already initializing\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) 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versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n 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We can view the metadata for each collection in long form by passing a `DataCollection` object to print or as a summary using the `summary` method. We can also use the `pprint` function to Pretty Print each object.\n", "\n", @@ -831,130 +165,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "f54b13d9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{ 'concept-id': 'C2559919423-NSIDC_ECS',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.006/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", - " 'http://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL03/versions/6/'],\n", - " 'short-name': 'ATL03',\n", - " 'version': '006'}\n", - "\n", - "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL03/006',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL03/006'],\n", - " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", - " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2596864127-NSIDC_CPRD',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", - " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2596864127-NSIDC_CPRD'],\n", - " 'short-name': 'ATL03',\n", - " 'version': '006'}\n", - "\n", - "{ 'concept-id': 'C2565090645-NSIDC_ECS',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL08.006/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", - " 'https://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL08/versions/6/'],\n", - " 'short-name': 'ATL08',\n", - " 'version': '006'}\n", - "\n", - "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL08/006',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL08/006'],\n", - " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", - " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2613553260-NSIDC_CPRD',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", - " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2613553260-NSIDC_CPRD'],\n", - " 'short-name': 'ATL08',\n", - " 'version': '006'}\n", - "\n", - "{ 'concept-id': 'C2564427300-NSIDC_ECS',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL06.006/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL06+V006',\n", - 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" 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2649212495-NSIDC_CPRD'],\n", - " 'short-name': 'ATL09',\n", - " 'version': '006'}\n", - "\n", - "{ 'concept-id': 'C2650116584-NSIDC_ECS',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL13.006/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL13+V006',\n", - " 'https://nsidc.org/data/data-access-tool/ATL13/versions/6/'],\n", - " 'short-name': 'ATL13',\n", - " 'version': '006'}\n", - "\n", - "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL13/006',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL13/006'],\n", - " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", - " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2684928243-NSIDC_CPRD',\n", - " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", - " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL13+V006',\n", - " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2684928243-NSIDC_CPRD'],\n", - " 'short-name': 'ATL13',\n", - " 'version': '006'}\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "for collection in Query[:10]:\n", " pprint.pprint(collection.summary(), sort_dicts=True, indent=4)\n", @@ -1003,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "322d78c3", "metadata": {}, "outputs": [], @@ -1030,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "5fba5c34", "metadata": {}, "outputs": [], @@ -1051,224 +265,17 @@ "source": [ "To display the rendered metadata, including the download link, granule size and two images, we will use `display`. In the example below, all 4 results are shown. \n", "\n", - "The download link is `https` and can be used download the granule to your local machine. This is similar to downloading _DAAC-hosted_ data but in this case the data are coming from the Earthdata Cloud. For NASA data in the Earthdata Cloud, there is no charge to the user for egress from AWS Cloud servers. This is not the case for other data in the cloud.\n", + "The download link is `https` and can be used download the granule to your local machine. This is similar to downloading data located _on-premises_ but in this case the data are coming from the Earthdata Cloud. For NASA data in the Earthdata Cloud, there is no charge to the user for egress from AWS Cloud servers. This may not be the case for other data in the cloud.\n", "\n", - "Note the `[None, None, None, None]` that is displayed at the end can be ignored, it has no meaning in relation to the metadata." + "Note the `[None, None, None, None]` that is displayed at the end can be ignored; it has no meaning in relation to the metadata." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "a04370d3", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
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-       "    short_name:                         ATL06\n",
-       "    level:                              L3A\n",
-       "    title:                              ATLAS/ICESat-2 L3A Land Ice Height\n",
-       "    description:                        This data set (ATL06) provides geoloc...\n",
-       "    Conventions:                        CF-1.6\n",
-       "    contributor_name:                   Thomas A Neumann (thomas.neumann@nasa...\n",
-       "    ...                                 ...\n",
-       "    processing_level:                   3A\n",
-       "    references:                         http://nsidc.org/data/icesat2/data.html\n",
-       "    project:                            ICESat-2 > Ice, Cloud, and land Eleva...\n",
-       "    instrument:                         ATLAS > Advanced Topographic Laser Al...\n",
-       "    platform:                           ICESat-2 > Ice, Cloud, and land Eleva...\n",
-       "    source:                             Spacecraft
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This ma...\n", - "│ │ data_rate: Data within this group pertain to the granule in its entirety.\n", - "│ └── Group: /ancillary_data/land_ice\n", - "│ Dimensions: (phony_dim_1: 1, phony_dim_2: 6)\n", - "│ Dimensions without coordinates: phony_dim_1, phony_dim_2\n", - "│ Data variables: (12/24)\n", - "│ dt_hist (phony_dim_1) timedelta64[ns] 8B ...\n", - "│ fit_maxiter (phony_dim_1) int32 4B ...\n", - "│ fpb_maxiter (phony_dim_1) int32 4B ...\n", - "│ max_res_ids (phony_dim_1) int32 4B ...\n", - "│ min_dist (phony_dim_1) float32 4B ...\n", - "│ min_gain_th (phony_dim_1) float32 4B ...\n", - "│ ... ...\n", - "│ qs_lim_sss (phony_dim_1) int32 4B ...\n", - "│ rbin_width (phony_dim_1) float32 4B ...\n", - "│ sigma_beam (phony_dim_1) float32 4B ...\n", - "│ sigma_tx (phony_dim_2) timedelta64[ns] 48B ...\n", - "│ t_dead (phony_dim_2) timedelta64[ns] 48B ...\n", - "│ txp_maxiter (phony_dim_1) int32 4B ...\n", - "│ Attributes:\n", - "│ Description: Contains land-ice-specific information ancillary to the da...\n", - "├── Group: /orbit_info\n", - "│ Dimensions: (phony_dim_5: 11, crossing_time: 1, sc_orient_time: 1)\n", - "│ Coordinates:\n", - "│ * crossing_time (crossing_time) datetime64[ns] 8B 2020-03-12T23:26...\n", - "│ * sc_orient_time (sc_orient_time) datetime64[ns] 8B 2020-03-11T23:3...\n", - "│ Dimensions without coordinates: phony_dim_5\n", - "│ Data variables:\n", - "│ bounding_polygon_lat1 (phony_dim_5) float64 88B ...\n", - "│ bounding_polygon_lon1 (phony_dim_5) float64 88B ...\n", - "│ cycle_number (crossing_time) int8 1B ...\n", - "│ lan (crossing_time) float64 8B ...\n", - "│ orbit_number (crossing_time) uint16 2B ...\n", - "│ rgt (crossing_time) int16 2B ...\n", - "│ sc_orient (sc_orient_time) int8 1B ...\n", - "│ Attributes:\n", - "│ Description: Contains data that are common among all beams for the granu...\n", - "│ data_rate: These parameters are constant for a given granule.\n", - "├── Group: /quality_assessment\n", - "│ │ Dimensions: (phony_dim_6: 1)\n", - "│ │ Dimensions without coordinates: phony_dim_6\n", - "│ │ Data variables:\n", - "│ │ qa_granule_fail_reason (phony_dim_6) int32 4B ...\n", - "│ │ qa_granule_pass_fail (phony_dim_6) int32 4B ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt1l\n", - "│ │ Dimensions: (delta_time: 2806)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt1r\n", - "│ │ Dimensions: (delta_time: 2806)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt2l\n", - "│ │ Dimensions: (delta_time: 3179)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", - "│ │ lat_mean (delta_time) float64 25kB ...\n", - "│ │ lon_mean (delta_time) float64 25kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt2r\n", - "│ │ Dimensions: (delta_time: 3179)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", - "│ │ lat_mean (delta_time) float64 25kB ...\n", - "│ │ lon_mean (delta_time) float64 25kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt3l\n", - "│ │ Dimensions: (delta_time: 3331)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", - "│ │ lat_mean (delta_time) float64 27kB ...\n", - "│ │ lon_mean (delta_time) float64 27kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ └── Group: /quality_assessment/gt3r\n", - "│ Dimensions: (delta_time: 3331)\n", - "│ Coordinates:\n", - "│ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", - "│ lat_mean (delta_time) float64 27kB ...\n", - "│ lon_mean (delta_time) float64 27kB ...\n", - "│ Data variables:\n", - "│ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ Attributes:\n", - "│ Description: Contains quality assessment data. This may include QA count...\n", - "├── Group: /METADATA\n", - "│ │ Attributes:\n", - "│ │ Description: ISO19115 Structured Metadata Represented within HDF5\n", - "│ │ iso_19139_dataset_xml: \\n\\n ICESat-2 Science Investigator-...\n", - "│ │ abstract: ATL06 provides estimates of the ice-sheet me...\n", - "│ │ purpose: ATL06 provides estimates of the ice-sheet me...\n", - "│ │ credit: The software that generates the ATL06 produc...\n", - "│ │ status: onGoing\n", - "│ │ topicCategory: geoscientificInformation\n", - "│ ├── Group: /METADATA/Extent\n", - "│ │ Attributes:\n", - "│ │ northBoundLatitude: 59.505969426283016\n", - "│ │ eastBoundLongitude: -133.41952635398133\n", - "│ │ southBoundLatitude: 53.738297674819215\n", - "│ │ westBoundLongitude: -134.57344124844843\n", - "│ │ rangeBeginningDateTime: 2020-03-12T23:40:36.093343Z\n", - "│ │ rangeEndingDateTime: 2020-03-12T23:42:07.293395Z\n", - "│ ├── Group: /METADATA/Lineage\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-01\n", - "│ │ │ Attributes:\n", - "│ │ │ description: MERIT 3 arcsec Digital Elevation Model reformatted into HDF...\n", - "│ │ │ fileName: merit_3as_20200617_001_01.h5\n", - "│ │ │ shortName: ANC06-01\n", - "│ │ │ uuid: 3db8ab65-d2ac-37c7-86db-17c762268673\n", - "│ │ │ version: 20200617\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-02\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ArcticDEM 32m Digital Elevation Model reformatted into HDF5.\n", - "│ │ │ fileName: arcticdem32m_20190611_001_01.h5\n", - "│ │ │ shortName: ANC06-02\n", - "│ │ │ uuid: ce07ef72-0bf4-353b-8475-fb568b029905\n", - "│ │ │ version: 20190611\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-03\n", - "│ │ │ Attributes:\n", - "│ │ │ description: REMA Antarctica 100m Digital Elevation Model filled and ref...\n", - "│ │ │ fileName: atl06rema100m_20190628_001_01.h5\n", - "│ │ │ shortName: ANC06-03\n", - "│ │ │ uuid: 3e0a81bd-bbd5-35fa-b868-3254f9355b7f\n", - "│ │ │ version: 20190628\n", - "│ │ ├── Group: /METADATA/Lineage/ANC17\n", - "│ │ │ Attributes:\n", - "│ │ │ description: Land Ice Height SNR Significance Table\n", - "│ │ │ fileName: anc17_snr_f_20170718_001_01.h5\n", - "│ │ │ shortName: ANC17\n", - "│ │ │ uuid: 52fe4165-bac0-3dc9-a9b3-921a591a7dc5\n", - "│ │ │ version: 20170718\n", - "│ │ ├── Group: /METADATA/Lineage/ANC19\n", - "│ │ │ Attributes:\n", - "│ │ │ description: TAI to UTC leapsecond file retrieved from ftp://maia.usno.n...\n", - "│ │ │ fileName: tai_utc_2017.dat\n", - "│ │ │ shortName: ANC19\n", - "│ │ │ uuid: 7c66d365-278a-31f7-8fe4-9c80e2f012e5\n", - "│ │ │ version: 001\n", - "│ │ ├── Group: /METADATA/Lineage/ANC25-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", - "│ │ │ fileName: ANC25-06_20221024172446_050_01.h5\n", - "│ │ │ shortName: ANC25-06\n", - "│ │ │ uuid: 9db0c967-58c7-3790-9da3-330c676dd945\n", - "│ │ │ version: 050\n", - "│ │ ├── Group: /METADATA/Lineage/ANC26-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", - "│ │ │ fileName: ANC26-06_20221024172446_050_01.h5\n", - "│ │ │ shortName: ANC26-06\n", - "│ │ │ uuid: 8c74faba-540a-3fbc-99fb-0f4c75cf73e6\n", - "│ │ │ version: 050\n", - "│ │ ├── Group: /METADATA/Lineage/ANC28\n", - "│ │ │ Attributes:\n", - "│ │ │ description: DTU Mean Sea Surface re-referenced to the WGS84 ellipsoid.\n", - "│ │ │ fileName: dtu13_20180705_001_01.nc\n", - "│ │ │ shortName: ANC28\n", - "│ │ │ uuid: 56f47040-a72e-3109-99c2-bc1658e6dda4\n", - "│ │ │ version: 20180705\n", - "│ │ ├── Group: /METADATA/Lineage/ANC36-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ISO 19139 XML file containing Series-level metadata informa...\n", - "│ │ │ fileName: ANC36-06_20221227213239_006_02.xml\n", - "│ │ │ shortName: ANC36-06\n", - "│ │ │ uuid: 4ba221ce-277c-368a-b763-9fd5d1e89790\n", - "│ │ │ version: 006\n", - "│ │ ├── Group: /METADATA/Lineage/ANC38-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ISO 19139 XML file containing DataSet-level metadata inform...\n", - "│ │ │ fileName: ANC38-06_20221227213240_006_03.xml\n", - "│ │ │ shortName: ANC38-06\n", - "│ │ │ uuid: c5ea6ed4-baea-36c2-9391-a62df10035ea\n", - "│ │ │ version: 006\n", - "│ │ ├── Group: /METADATA/Lineage/ATL03\n", - "│ │ │ Attributes: (12/15)\n", - "│ │ │ description: ICESat-2 ATLAS L2A Global Geolocated Photon data products.\n", - "│ │ │ fileName: ATL03_20200312233336_11800602_006_01.h5\n", - "│ │ │ shortName: ATL03\n", - "│ │ │ uuid: 9fa02c99-3e16-331b-91eb-35e228bae45d\n", - "│ │ │ version: 006\n", - "│ │ │ start_cycle: 6\n", - "│ │ │ ... ...\n", - "│ │ │ start_rgt: 1180\n", - "│ │ │ end_rgt: 1180\n", - "│ │ │ start_region: 2\n", - "│ │ │ end_region: 2\n", - "│ │ │ start_geoseg: 149699\n", - "│ │ │ end_geoseg: 330714\n", - "│ │ ├── Group: /METADATA/Lineage/ATL09\n", - "│ │ │ Attributes: (12/15)\n", - "│ │ │ description: ICESat-2 ATLAS L3A atmosphere data products.\n", - "│ │ │ fileName: ATL09_20200312232634_11800601_006_01.h5\n", - "│ │ │ shortName: ATL09\n", - "│ │ │ uuid: ec7d16ab-aede-3146-8997-ce4dbc35342a\n", - "│ │ │ version: 006\n", - "│ │ │ start_cycle: 6\n", - "│ │ │ ... ...\n", - "│ │ │ start_rgt: 1180\n", - "│ │ │ end_rgt: 1180\n", - "│ │ │ start_region: 1\n", - "│ │ │ end_region: 14\n", - "│ │ │ start_geoseg: 9\n", - "│ │ │ end_geoseg: 2007126\n", - "│ │ └── Group: /METADATA/Lineage/Control\n", - "│ │ Attributes:\n", - "│ │ description: Text-based keyword=value file generated automatically withi...\n", - "│ │ fileName: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ shortName: CNTL\n", - "│ │ version: 1\n", - "│ ├── Group: /METADATA/ProcessStep\n", - "│ │ ├── Group: /METADATA/ProcessStep/Browse\n", - "│ │ │ Attributes:\n", - "│ │ │ processDescription: Browse processing is performed for each granule SIPS...\n", - "│ │ │ identifier: atlas_brw\n", - "│ │ │ softwareVersion: Version 3.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: Creates ATLAS HDF5 browse files\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:34:04.000000Z\n", - "│ │ ├── Group: /METADATA/ProcessStep/Metadata\n", - "│ │ │ Attributes:\n", - "│ │ │ processDescription: Metadata information is processed by the metadata ut...\n", - "│ │ │ identifier: atlas_meta\n", - "│ │ │ softwareVersion: Version 5.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: Creates ATLAS XML metadata files\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:34:12.000000Z\n", - "│ │ ├── Group: /METADATA/ProcessStep/PGE\n", - "│ │ │ Attributes:\n", - "│ │ │ ATBDDate: 12/04/2019\n", - "│ │ │ ATBDTitle: Algorithm Theoretical Basis Document (ATBD) For Land...\n", - "│ │ │ ATBDVersion: N/A\n", - "│ │ │ documentDate: Feb 2020\n", - "│ │ │ documentation: ATLAS Science Algorithm Software Design Description ...\n", - "│ │ │ processDescription: Computes surface heights for each beam, along and ac...\n", - "│ │ │ identifier: atlas_l3a_is\n", - "│ │ │ softwareVersion: Version 5.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: ASAS L3A Icesheet PGE\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:27:14.000000Z\n", - "│ │ └── Group: /METADATA/ProcessStep/QA\n", - "│ │ Attributes:\n", - "│ │ processDescription: QA processing is performed by an external utility on...\n", - "│ │ identifier: atl06_qa_util\n", - "│ │ softwareVersion: Version 5.0\n", - "│ │ softwareDate: Sep 21 2022\n", - "│ │ softwareTitle: ATL06 QA Utility\n", - "│ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ stepDateTime: 2023-04-30T05:34:02.000000Z\n", - "│ ├── Group: /METADATA/ProductSpecificationDocument\n", - "│ │ Attributes:\n", - "│ │ ShortName: ATL06_SDP\n", - "│ │ characterSet: utf8\n", - "│ │ edition: v4.3\n", - "│ │ language: eng\n", - "│ │ publicationDate: Feb 2020\n", - "│ │ title: ICESat-2-SIPS-SPEC-4260 - ATLAS Science Algorithm Stand...\n", - "│ ├── Group: /METADATA/QADatasetIdentification\n", - "│ │ Attributes:\n", - "│ │ abstract: An ASCII product that contains statistical information on ...\n", - "│ │ creationDate: 2023-04-30T05:34:02.000000Z\n", - "│ │ fileName: ATL06_20200312233336_11800602_006_01.qa\n", - "│ └── Group: /METADATA/SeriesIdentification\n", - "│ Attributes: (12/19)\n", - "│ maintenanceAndUpdateFrequency: asNeeded\n", - "│ maintenanceDate: SET_BY_META\n", - "│ VersionID: 006\n", - "│ language: eng\n", - "│ characterSet: utf8\n", - "│ pointOfContact: NSIDC DAAC > NASA National Snow and Ic...\n", - "│ ... ...\n", - "│ credit: The software that generates the ATL06 ...\n", - "│ status: onGoing\n", - "│ format: HDF\n", - "│ formatVersion: 5\n", - "│ topicCategory: geoscientificInformation\n", - "│ mission: ICESat-2 > Ice, Cloud, and land Elevat...\n", - "├── Group: /gt1l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce3\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt1l\n", - "│ │ atmosphere_profile: profile_1\n", - "│ │ atlas_spot_number: 6\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt1l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 196kB ...\n", - "│ │ │ longitude (delta_time) float64 196kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", - "│ │ │ h_li (delta_time) float32 98kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", - "│ │ │ segment_id (delta_time) float64 196kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 24kB ...\n", - "│ │ │ dem_h (delta_time) float32 98kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ geoid_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", - "│ │ │ h_mean (delta_time) float32 98kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", - "│ │ │ snr (delta_time) float32 98kB ...\n", - "│ │ │ snr_significance (delta_time) float32 98kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 98kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", - "│ │ │ tide_load (delta_time) float32 98kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", - "│ │ │ tide_pole (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt1l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 24471)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 98kB ...\n", - "│ │ ref_coelv (delta_time) float32 98kB ...\n", - "│ │ seg_azimuth (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", - "│ │ x_atc (delta_time) float64 196kB ...\n", - "│ │ y_atc (delta_time) float32 98kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt1l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2332, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:48.720...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 9kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 187kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt1l/segment_quality\n", - "│ │ Dimensions: (delta_time: 27532)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 110kB ...\n", - "│ │ segment_id (delta_time) int32 110kB ...\n", - "│ │ signal_selection_source (delta_time) int8 28kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt1l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 27532)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 28kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt1r\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce3\n", - "│ │ atlas_beam_type: strong\n", - "│ │ groundtrack_id: gt1r\n", - "│ │ atmosphere_profile: profile_1\n", - "│ │ atlas_spot_number: 5\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt1r/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 196kB ...\n", - "│ │ │ longitude (delta_time) float64 196kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", - "│ │ │ h_li (delta_time) float32 98kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", - "│ │ │ segment_id (delta_time) float64 196kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 24kB ...\n", - "│ │ │ dem_h (delta_time) float32 98kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ geoid_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", - "│ │ │ h_mean (delta_time) float32 98kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", - "│ │ │ snr (delta_time) float32 98kB ...\n", - "│ │ │ snr_significance (delta_time) float32 98kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 98kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", - "│ │ │ tide_load (delta_time) float32 98kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", - "│ │ │ tide_pole (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt1r/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 24471)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 98kB ...\n", - "│ │ ref_coelv (delta_time) float32 98kB ...\n", - "│ │ seg_azimuth (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", - "│ │ x_atc (delta_time) float64 196kB ...\n", - "│ │ y_atc (delta_time) float32 98kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt1r/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2600, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 21kB 2020-03-12T23:40:39.900...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 21kB ...\n", - "│ │ lon_mean (delta_time) float64 21kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 16MB ...\n", - "│ │ pulse_count (delta_time) float32 10kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 208kB ...\n", - "│ │ x_atc_mean (delta_time) float64 21kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt1r/segment_quality\n", - "│ │ Dimensions: (delta_time: 27532)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 110kB ...\n", - "│ │ segment_id (delta_time) int32 110kB ...\n", - "│ │ signal_selection_source (delta_time) int8 28kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt1r/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 27532)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 28kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt2l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce2\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt2l\n", - "│ │ atmosphere_profile: profile_2\n", - "│ │ atlas_spot_number: 4\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt2l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 200kB ...\n", - "│ │ │ longitude (delta_time) float64 200kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", - "│ │ │ h_li (delta_time) float32 100kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", - "│ │ │ segment_id (delta_time) float64 200kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 25kB ...\n", - "│ │ │ dem_h (delta_time) float32 100kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ geoid_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", - "│ │ │ h_mean (delta_time) float32 100kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", - "│ │ │ snr (delta_time) float32 100kB ...\n", - "│ │ │ snr_significance (delta_time) float32 100kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 100kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", - "│ │ │ tide_load (delta_time) float32 100kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", - "│ │ │ tide_pole (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt2l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 25047)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 100kB ...\n", - "│ │ ref_coelv (delta_time) float32 100kB ...\n", - "│ │ seg_azimuth (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", - "│ │ x_atc (delta_time) float64 200kB ...\n", - "│ │ y_atc (delta_time) float32 100kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt2l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2364, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.692...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 9kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 189kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt2l/segment_quality\n", - "│ │ Dimensions: (delta_time: 31173)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 125kB ...\n", - "│ │ segment_id (delta_time) int32 125kB ...\n", - "│ │ signal_selection_source (delta_time) int8 31kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt2l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 31173)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 31kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt2r\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce2\n", - "│ │ atlas_beam_type: strong\n", - "│ │ groundtrack_id: gt2r\n", - "│ │ atmosphere_profile: profile_2\n", - "│ │ atlas_spot_number: 3\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt2r/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 200kB ...\n", - "│ │ │ longitude (delta_time) float64 200kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", - "│ │ │ h_li (delta_time) float32 100kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", - "│ │ │ segment_id (delta_time) float64 200kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 25kB ...\n", - "│ │ │ dem_h (delta_time) float32 100kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ geoid_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", - "│ │ │ h_mean (delta_time) float32 100kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", - "│ │ │ snr (delta_time) float32 100kB ...\n", - "│ │ │ snr_significance (delta_time) float32 100kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 100kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", - "│ │ │ tide_load (delta_time) float32 100kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", - "│ │ │ tide_pole (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt2r/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 25047)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 100kB ...\n", - "│ │ ref_coelv (delta_time) float32 100kB ...\n", - "│ │ seg_azimuth (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", - "│ │ x_atc (delta_time) float64 200kB ...\n", - "│ │ y_atc (delta_time) float32 100kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt2r/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2781, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020-03-12T23:40:28.745...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 11kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 17MB ...\n", - "│ │ pulse_count (delta_time) float32 11kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 222kB ...\n", - "│ │ x_atc_mean (delta_time) float64 22kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt2r/segment_quality\n", - "│ │ Dimensions: (delta_time: 31173)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 125kB ...\n", - "│ │ segment_id (delta_time) int32 125kB ...\n", - "│ │ signal_selection_source (delta_time) int8 31kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt2r/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 31173)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 31kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt3l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce1\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt3l\n", - "│ │ atmosphere_profile: profile_3\n", - "│ │ atlas_spot_number: 2\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt3l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 209kB ...\n", - "│ │ │ longitude (delta_time) float64 209kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", - "│ │ │ h_li (delta_time) float32 104kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 104kB ...\n", - "│ │ │ segment_id (delta_time) float64 209kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 104kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 104kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 104kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 104kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 26kB ...\n", - "│ │ │ dem_h (delta_time) float32 104kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 104kB ...\n", - "│ │ │ geoid_h (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 104kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 104kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 104kB ...\n", - "│ │ │ h_mean (delta_time) float32 104kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 104kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 104kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 26kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", - "│ │ │ snr (delta_time) float32 104kB ...\n", - "│ │ │ snr_significance (delta_time) float32 104kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 104kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 104kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 104kB ...\n", - "│ │ │ tide_load (delta_time) float32 104kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 104kB ...\n", - "│ │ │ tide_pole (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt3l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 26106)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 104kB ...\n", - "│ │ ref_coelv (delta_time) float32 104kB ...\n", - "│ │ seg_azimuth (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 104kB ...\n", - "│ │ x_atc (delta_time) float64 209kB ...\n", - "│ │ y_atc (delta_time) float32 104kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt3l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2418, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.096...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 10kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 193kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt3l/segment_quality\n", - "│ │ Dimensions: (delta_time: 32617)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 261kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 261kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 130kB ...\n", - "│ │ segment_id (delta_time) int32 130kB ...\n", - "│ │ signal_selection_source (delta_time) int8 33kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt3l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 32617)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 33kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 33kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 33kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "└── Group: /gt3r\n", - " │ Attributes:\n", - " │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - " │ atlas_pce: pce1\n", - " │ atlas_beam_type: strong\n", - " │ groundtrack_id: gt3r\n", - " │ atmosphere_profile: profile_3\n", - " │ atlas_spot_number: 1\n", - " │ sc_orientation: Forward\n", - " ├── Group: /gt3r/land_ice_segments\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Coordinates:\n", - " │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", - " │ │ latitude (delta_time) float64 209kB ...\n", - " │ │ longitude (delta_time) float64 209kB ...\n", - " │ │ Data variables:\n", - " │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", - " │ │ h_li (delta_time) float32 104kB ...\n", - " │ │ h_li_sigma (delta_time) float32 104kB ...\n", - " │ │ segment_id (delta_time) float64 209kB ...\n", - " │ │ sigma_geo_h (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - " │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - " │ ├── Group: /gt3r/land_ice_segments/bias_correction\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables:\n", - " │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", - " │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", - " │ │ fpb_med_corr (delta_time) float32 104kB ...\n", - " │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", - " │ │ fpb_n_corr (delta_time) float32 104kB ...\n", - " │ │ med_r_fit (delta_time) float32 104kB ...\n", - " │ │ tx_mean_corr (delta_time) float32 104kB ...\n", - " │ │ tx_med_corr (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The bias_correction group contains information about the es...\n", - " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - " │ ├── Group: /gt3r/land_ice_segments/dem\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables:\n", - " │ │ dem_flag (delta_time) int8 26kB ...\n", - " │ │ dem_h (delta_time) float32 104kB ...\n", - " │ │ geoid_free2mean (delta_time) float32 104kB ...\n", - " │ │ geoid_h (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: Contains reference DEM and geoid heights.\n", - " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - " │ ├── Group: /gt3r/land_ice_segments/fit_statistics\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables: (12/15)\n", - " │ │ dh_fit_dx (delta_time) float32 104kB ...\n", - " │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", - " │ │ dh_fit_dy (delta_time) float32 104kB ...\n", - " │ │ h_expected_rms (delta_time) float32 104kB ...\n", - " │ │ h_mean (delta_time) float32 104kB ...\n", - " │ │ h_rms_misfit (delta_time) float32 104kB ...\n", - " │ │ ... ...\n", - " │ │ sigma_h_mean (delta_time) float32 104kB ...\n", - " │ │ signal_selection_source (delta_time) int8 26kB ...\n", - " │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", - " │ │ snr (delta_time) float32 104kB ...\n", - " │ │ snr_significance (delta_time) float32 104kB ...\n", - " │ │ w_surface_window_final (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " │ ├── Group: /gt3r/land_ice_segments/geophysical\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables: (12/20)\n", - " │ │ bckgrd (delta_time) float32 104kB ...\n", - " │ │ bsnow_conf (delta_time) float32 104kB ...\n", - " │ │ bsnow_h (delta_time) float32 104kB ...\n", - " │ │ bsnow_od (delta_time) float32 104kB ...\n", - " │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", - " │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", - " │ │ ... ...\n", - " │ │ tide_earth (delta_time) float32 104kB ...\n", - " │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", - " │ │ tide_equilibrium (delta_time) float32 104kB ...\n", - " │ │ tide_load (delta_time) float32 104kB ...\n", - " │ │ tide_ocean (delta_time) float32 104kB ...\n", - " │ │ tide_pole (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " │ └── Group: /gt3r/land_ice_segments/ground_track\n", - " │ Dimensions: (delta_time: 26106)\n", - " │ Data variables:\n", - " │ ref_azimuth (delta_time) float32 104kB ...\n", - " │ ref_coelv (delta_time) float32 104kB ...\n", - " │ seg_azimuth (delta_time) float32 104kB ...\n", - " │ sigma_geo_at (delta_time) float32 104kB ...\n", - " │ sigma_geo_r (delta_time) float32 104kB ...\n", - " │ sigma_geo_xt (delta_time) float32 104kB ...\n", - " │ x_atc (delta_time) float64 209kB ...\n", - " │ y_atc (delta_time) float32 104kB ...\n", - " │ Attributes:\n", - " │ Description: The ground_track group contains parameters describing the G...\n", - " │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " ├── Group: /gt3r/residual_histogram\n", - " │ Dimensions: (delta_time: 3008, bin_top_h: 748, ds_segment_id: 10)\n", - " │ Coordinates:\n", - " │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - " │ * delta_time (delta_time) datetime64[ns] 24kB 2020-03-12T23:40:28.416...\n", - " │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - " │ lat_mean (delta_time) float64 24kB ...\n", - " │ lon_mean (delta_time) float64 24kB ...\n", - " │ Data variables:\n", - " │ bckgrd_per_m (delta_time) float32 12kB ...\n", - " │ count (delta_time, bin_top_h) float64 18MB ...\n", - " │ pulse_count (delta_time) float32 12kB ...\n", - " │ segment_id_list (delta_time, ds_segment_id) float64 241kB ...\n", - " │ x_atc_mean (delta_time) float64 24kB ...\n", - " │ Attributes:\n", - " │ Description: This group contains histograms of the residuals between PE ...\n", - " │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - " └── Group: /gt3r/segment_quality\n", - " │ Dimensions: (delta_time: 32617)\n", - " │ Coordinates:\n", - " │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", - " │ reference_pt_lat (delta_time) float64 261kB ...\n", - " │ reference_pt_lon (delta_time) float64 261kB ...\n", - " │ Data variables:\n", - " │ record_number (delta_time) int32 130kB ...\n", - " │ segment_id (delta_time) int32 130kB ...\n", - " │ signal_selection_source (delta_time) int8 33kB ...\n", - " │ Attributes:\n", - " │ Description: The segment_quality group contains a dense record (i.e. for...\n", - " │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - " └── Group: /gt3r/segment_quality/signal_selection_status\n", - " Dimensions: (delta_time: 32617)\n", - " Data variables:\n", - " signal_selection_status_all (delta_time) int8 33kB ...\n", - " signal_selection_status_backup (delta_time) int8 33kB ...\n", - " signal_selection_status_confident (delta_time) int8 33kB ...\n", - " Attributes:\n", - " Description: The signal selection status subgroup contains the success o...\n", - " data_rate: Data within this group are stored at the ICESat-2 20m segme..." - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "ds = xr.open_datatree(files[1], phony_dims='sort')\n", - "# ds = xr.open_datatree(files[1], phony_dims='access')\n", - "#ds = xr.open_datatree(files[1])\n", - "ds" + "The next step is to load the data. `xarray.DataTree` objects allow us to work with hierarchical data structures and file formats such as HDF5, Zarr and NetCDF4 with groups. \n", + "\n", + "We use `xr.open_datatree` to open the ATL06 data. We add the `phony_dims=\"sort\"` option because data variables in several groups including `ancillary_data` do not have any assigned dimension scales. `xarray` names dimensions `phony_dim0`, `phony_dim1`, etc." ] }, { "cell_type": "code", - "execution_count": 10, - "id": "11205bbb", + "execution_count": null, + "id": "013136a2-80fd-4625-aca8-1a64775c9593", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "7dc352ded9c74159b077effea558f0e9", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "QUEUEING TASKS | : 0%| | 0/4 [00:00\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DatasetView> Size: 0B\n",
-       "Dimensions:  ()\n",
-       "Data variables:\n",
-       "    *empty*\n",
-       "Attributes: (12/48)\n",
-       "    short_name:                         ATL06\n",
-       "    level:                              L3A\n",
-       "    title:                              ATLAS/ICESat-2 L3A Land Ice Height\n",
-       "    description:                        This data set (ATL06) provides geoloc...\n",
-       "    Conventions:                        CF-1.6\n",
-       "    contributor_name:                   Thomas A Neumann (thomas.neumann@nasa...\n",
-       "    ...                                 ...\n",
-       "    processing_level:                   3A\n",
-       "    references:                         http://nsidc.org/data/icesat2/data.html\n",
-       "    project:                            ICESat-2 > Ice, Cloud, and land Eleva...\n",
-       "    instrument:                         ATLAS > Advanced Topographic Laser Al...\n",
-       "    platform:                           ICESat-2 > Ice, Cloud, and land Eleva...\n",
-       "    source:                             Spacecraft
" - ], - "text/plain": [ - "\n", - "Group: /\n", - "│ Attributes: (12/48)\n", - "│ short_name: ATL06\n", - "│ level: L3A\n", - "│ title: ATLAS/ICESat-2 L3A Land Ice Height\n", - "│ description: This data set (ATL06) provides geoloc...\n", - "│ Conventions: CF-1.6\n", - "│ contributor_name: Thomas A Neumann (thomas.neumann@nasa...\n", - "│ ... ...\n", - "│ processing_level: 3A\n", - "│ references: http://nsidc.org/data/icesat2/data.html\n", - "│ project: ICESat-2 > Ice, Cloud, and land Eleva...\n", - "│ instrument: ATLAS > Advanced Topographic Laser Al...\n", - "│ platform: ICESat-2 > Ice, Cloud, and land Eleva...\n", - "│ source: Spacecraft\n", - "├── Group: /ancillary_data\n", - "│ │ Dimensions: (phony_dim_0: 1)\n", - "│ │ Dimensions without coordinates: phony_dim_0\n", - "│ │ Data variables: (12/25)\n", - "│ │ atlas_sdp_gps_epoch (phony_dim_0) datetime64[ns] 8B ...\n", - "│ │ control (phony_dim_0) |S100000 100kB ...\n", - "│ │ data_end_utc (phony_dim_0) |S27 27B ...\n", - "│ │ data_start_utc (phony_dim_0) |S27 27B ...\n", - "│ │ end_cycle (phony_dim_0) int32 4B ...\n", - "│ │ end_delta_time (phony_dim_0) datetime64[ns] 8B ...\n", - "│ │ ... ...\n", - "│ │ start_gpssow (phony_dim_0) timedelta64[ns] 8B ...\n", - "│ │ start_gpsweek (phony_dim_0) int32 4B ...\n", - "│ │ start_orbit (phony_dim_0) int32 4B ...\n", - "│ │ start_region (phony_dim_0) int32 4B ...\n", - "│ │ start_rgt (phony_dim_0) int32 4B ...\n", - "│ │ version (phony_dim_0) |S80 80B ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains information ancillary to the data product. This ma...\n", - "│ │ data_rate: Data within this group pertain to the granule in its entirety.\n", - "│ └── Group: /ancillary_data/land_ice\n", - "│ Dimensions: (phony_dim_1: 1, phony_dim_2: 6)\n", - "│ Dimensions without coordinates: phony_dim_1, phony_dim_2\n", - "│ Data variables: (12/24)\n", - "│ dt_hist (phony_dim_1) timedelta64[ns] 8B ...\n", - "│ fit_maxiter (phony_dim_1) int32 4B ...\n", - "│ fpb_maxiter (phony_dim_1) int32 4B ...\n", - "│ max_res_ids (phony_dim_1) int32 4B ...\n", - "│ min_dist (phony_dim_1) float32 4B ...\n", - "│ min_gain_th (phony_dim_1) float32 4B ...\n", - "│ ... ...\n", - "│ qs_lim_sss (phony_dim_1) int32 4B ...\n", - "│ rbin_width (phony_dim_1) float32 4B ...\n", - "│ sigma_beam (phony_dim_1) float32 4B ...\n", - "│ sigma_tx (phony_dim_2) timedelta64[ns] 48B ...\n", - "│ t_dead (phony_dim_2) timedelta64[ns] 48B ...\n", - "│ txp_maxiter (phony_dim_1) int32 4B ...\n", - "│ Attributes:\n", - "│ Description: Contains land-ice-specific information ancillary to the da...\n", - "├── Group: /orbit_info\n", - "│ Dimensions: (phony_dim_5: 11, crossing_time: 1, sc_orient_time: 1)\n", - "│ Coordinates:\n", - "│ * crossing_time (crossing_time) datetime64[ns] 8B 2020-03-12T23:26...\n", - "│ * sc_orient_time (sc_orient_time) datetime64[ns] 8B 2020-03-11T23:3...\n", - "│ Dimensions without coordinates: phony_dim_5\n", - "│ Data variables:\n", - "│ bounding_polygon_lat1 (phony_dim_5) float64 88B ...\n", - "│ bounding_polygon_lon1 (phony_dim_5) float64 88B ...\n", - "│ cycle_number (crossing_time) int8 1B ...\n", - "│ lan (crossing_time) float64 8B ...\n", - "│ orbit_number (crossing_time) uint16 2B ...\n", - "│ rgt (crossing_time) int16 2B ...\n", - "│ sc_orient (sc_orient_time) int8 1B ...\n", - "│ Attributes:\n", - "│ Description: Contains data that are common among all beams for the granu...\n", - "│ data_rate: These parameters are constant for a given granule.\n", - "├── Group: /quality_assessment\n", - "│ │ Dimensions: (phony_dim_6: 1)\n", - "│ │ Dimensions without coordinates: phony_dim_6\n", - "│ │ Data variables:\n", - "│ │ qa_granule_fail_reason (phony_dim_6) int32 4B ...\n", - "│ │ qa_granule_pass_fail (phony_dim_6) int32 4B ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt1l\n", - "│ │ Dimensions: (delta_time: 2806)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt1r\n", - "│ │ Dimensions: (delta_time: 2806)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt2l\n", - "│ │ Dimensions: (delta_time: 3179)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", - "│ │ lat_mean (delta_time) float64 25kB ...\n", - "│ │ lon_mean (delta_time) float64 25kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt2r\n", - "│ │ Dimensions: (delta_time: 3179)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", - "│ │ lat_mean (delta_time) float64 25kB ...\n", - "│ │ lon_mean (delta_time) float64 25kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ ├── Group: /quality_assessment/gt3l\n", - "│ │ Dimensions: (delta_time: 3331)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", - "│ │ lat_mean (delta_time) float64 27kB ...\n", - "│ │ lon_mean (delta_time) float64 27kB ...\n", - "│ │ Data variables:\n", - "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: Contains quality assessment data. This may include QA count...\n", - "│ └── Group: /quality_assessment/gt3r\n", - "│ Dimensions: (delta_time: 3331)\n", - "│ Coordinates:\n", - "│ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", - "│ lat_mean (delta_time) float64 27kB ...\n", - "│ lon_mean (delta_time) float64 27kB ...\n", - "│ Data variables:\n", - "│ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", - "│ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", - "│ Attributes:\n", - "│ Description: Contains quality assessment data. This may include QA count...\n", - "├── Group: /METADATA\n", - "│ │ Attributes:\n", - "│ │ Description: ISO19115 Structured Metadata Represented within HDF5\n", - "│ │ iso_19139_dataset_xml: \\n\\n ICESat-2 Science Investigator-...\n", - "│ │ abstract: ATL06 provides estimates of the ice-sheet me...\n", - "│ │ purpose: ATL06 provides estimates of the ice-sheet me...\n", - "│ │ credit: The software that generates the ATL06 produc...\n", - "│ │ status: onGoing\n", - "│ │ topicCategory: geoscientificInformation\n", - "│ ├── Group: /METADATA/Extent\n", - "│ │ Attributes:\n", - "│ │ northBoundLatitude: 59.505969426283016\n", - "│ │ eastBoundLongitude: -133.41952635398133\n", - "│ │ southBoundLatitude: 53.738297674819215\n", - "│ │ westBoundLongitude: -134.57344124844843\n", - "│ │ rangeBeginningDateTime: 2020-03-12T23:40:36.093343Z\n", - "│ │ rangeEndingDateTime: 2020-03-12T23:42:07.293395Z\n", - "│ ├── Group: /METADATA/Lineage\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-01\n", - "│ │ │ Attributes:\n", - "│ │ │ description: MERIT 3 arcsec Digital Elevation Model reformatted into HDF...\n", - "│ │ │ fileName: merit_3as_20200617_001_01.h5\n", - "│ │ │ shortName: ANC06-01\n", - "│ │ │ uuid: 3db8ab65-d2ac-37c7-86db-17c762268673\n", - "│ │ │ version: 20200617\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-02\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ArcticDEM 32m Digital Elevation Model reformatted into HDF5.\n", - "│ │ │ fileName: arcticdem32m_20190611_001_01.h5\n", - "│ │ │ shortName: ANC06-02\n", - "│ │ │ uuid: ce07ef72-0bf4-353b-8475-fb568b029905\n", - "│ │ │ version: 20190611\n", - "│ │ ├── Group: /METADATA/Lineage/ANC06-03\n", - "│ │ │ Attributes:\n", - "│ │ │ description: REMA Antarctica 100m Digital Elevation Model filled and ref...\n", - "│ │ │ fileName: atl06rema100m_20190628_001_01.h5\n", - "│ │ │ shortName: ANC06-03\n", - "│ │ │ uuid: 3e0a81bd-bbd5-35fa-b868-3254f9355b7f\n", - "│ │ │ version: 20190628\n", - "│ │ ├── Group: /METADATA/Lineage/ANC17\n", - "│ │ │ Attributes:\n", - "│ │ │ description: Land Ice Height SNR Significance Table\n", - "│ │ │ fileName: anc17_snr_f_20170718_001_01.h5\n", - "│ │ │ shortName: ANC17\n", - "│ │ │ uuid: 52fe4165-bac0-3dc9-a9b3-921a591a7dc5\n", - "│ │ │ version: 20170718\n", - "│ │ ├── Group: /METADATA/Lineage/ANC19\n", - "│ │ │ Attributes:\n", - "│ │ │ description: TAI to UTC leapsecond file retrieved from ftp://maia.usno.n...\n", - "│ │ │ fileName: tai_utc_2017.dat\n", - "│ │ │ shortName: ANC19\n", - "│ │ │ uuid: 7c66d365-278a-31f7-8fe4-9c80e2f012e5\n", - "│ │ │ version: 001\n", - "│ │ ├── Group: /METADATA/Lineage/ANC25-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", - "│ │ │ fileName: ANC25-06_20221024172446_050_01.h5\n", - "│ │ │ shortName: ANC25-06\n", - "│ │ │ uuid: 9db0c967-58c7-3790-9da3-330c676dd945\n", - "│ │ │ version: 050\n", - "│ │ ├── Group: /METADATA/Lineage/ANC26-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", - "│ │ │ fileName: ANC26-06_20221024172446_050_01.h5\n", - "│ │ │ shortName: ANC26-06\n", - "│ │ │ uuid: 8c74faba-540a-3fbc-99fb-0f4c75cf73e6\n", - "│ │ │ version: 050\n", - "│ │ ├── Group: /METADATA/Lineage/ANC28\n", - "│ │ │ Attributes:\n", - "│ │ │ description: DTU Mean Sea Surface re-referenced to the WGS84 ellipsoid.\n", - "│ │ │ fileName: dtu13_20180705_001_01.nc\n", - "│ │ │ shortName: ANC28\n", - "│ │ │ uuid: 56f47040-a72e-3109-99c2-bc1658e6dda4\n", - "│ │ │ version: 20180705\n", - "│ │ ├── Group: /METADATA/Lineage/ANC36-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ISO 19139 XML file containing Series-level metadata informa...\n", - "│ │ │ fileName: ANC36-06_20221227213239_006_02.xml\n", - "│ │ │ shortName: ANC36-06\n", - "│ │ │ uuid: 4ba221ce-277c-368a-b763-9fd5d1e89790\n", - "│ │ │ version: 006\n", - "│ │ ├── Group: /METADATA/Lineage/ANC38-06\n", - "│ │ │ Attributes:\n", - "│ │ │ description: ISO 19139 XML file containing DataSet-level metadata inform...\n", - "│ │ │ fileName: ANC38-06_20221227213240_006_03.xml\n", - "│ │ │ shortName: ANC38-06\n", - "│ │ │ uuid: c5ea6ed4-baea-36c2-9391-a62df10035ea\n", - "│ │ │ version: 006\n", - "│ │ ├── Group: /METADATA/Lineage/ATL03\n", - "│ │ │ Attributes: (12/15)\n", - "│ │ │ description: ICESat-2 ATLAS L2A Global Geolocated Photon data products.\n", - "│ │ │ fileName: ATL03_20200312233336_11800602_006_01.h5\n", - "│ │ │ shortName: ATL03\n", - "│ │ │ uuid: 9fa02c99-3e16-331b-91eb-35e228bae45d\n", - "│ │ │ version: 006\n", - "│ │ │ start_cycle: 6\n", - "│ │ │ ... ...\n", - "│ │ │ start_rgt: 1180\n", - "│ │ │ end_rgt: 1180\n", - "│ │ │ start_region: 2\n", - "│ │ │ end_region: 2\n", - "│ │ │ start_geoseg: 149699\n", - "│ │ │ end_geoseg: 330714\n", - "│ │ ├── Group: /METADATA/Lineage/ATL09\n", - "│ │ │ Attributes: (12/15)\n", - "│ │ │ description: ICESat-2 ATLAS L3A atmosphere data products.\n", - "│ │ │ fileName: ATL09_20200312232634_11800601_006_01.h5\n", - "│ │ │ shortName: ATL09\n", - "│ │ │ uuid: ec7d16ab-aede-3146-8997-ce4dbc35342a\n", - "│ │ │ version: 006\n", - "│ │ │ start_cycle: 6\n", - "│ │ │ ... ...\n", - "│ │ │ start_rgt: 1180\n", - "│ │ │ end_rgt: 1180\n", - "│ │ │ start_region: 1\n", - "│ │ │ end_region: 14\n", - "│ │ │ start_geoseg: 9\n", - "│ │ │ end_geoseg: 2007126\n", - "│ │ └── Group: /METADATA/Lineage/Control\n", - "│ │ Attributes:\n", - "│ │ description: Text-based keyword=value file generated automatically withi...\n", - "│ │ fileName: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ shortName: CNTL\n", - "│ │ version: 1\n", - "│ ├── Group: /METADATA/ProcessStep\n", - "│ │ ├── Group: /METADATA/ProcessStep/Browse\n", - "│ │ │ Attributes:\n", - "│ │ │ processDescription: Browse processing is performed for each granule SIPS...\n", - "│ │ │ identifier: atlas_brw\n", - "│ │ │ softwareVersion: Version 3.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: Creates ATLAS HDF5 browse files\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:34:04.000000Z\n", - "│ │ ├── Group: /METADATA/ProcessStep/Metadata\n", - "│ │ │ Attributes:\n", - "│ │ │ processDescription: Metadata information is processed by the metadata ut...\n", - "│ │ │ identifier: atlas_meta\n", - "│ │ │ softwareVersion: Version 5.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: Creates ATLAS XML metadata files\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:34:12.000000Z\n", - "│ │ ├── Group: /METADATA/ProcessStep/PGE\n", - "│ │ │ Attributes:\n", - "│ │ │ ATBDDate: 12/04/2019\n", - "│ │ │ ATBDTitle: Algorithm Theoretical Basis Document (ATBD) For Land...\n", - "│ │ │ ATBDVersion: N/A\n", - "│ │ │ documentDate: Feb 2020\n", - "│ │ │ documentation: ATLAS Science Algorithm Software Design Description ...\n", - "│ │ │ processDescription: Computes surface heights for each beam, along and ac...\n", - "│ │ │ identifier: atlas_l3a_is\n", - "│ │ │ softwareVersion: Version 5.0\n", - "│ │ │ softwareDate: Sep 21 2022\n", - "│ │ │ softwareTitle: ASAS L3A Icesheet PGE\n", - "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ │ stepDateTime: 2023-04-30T05:27:14.000000Z\n", - "│ │ └── Group: /METADATA/ProcessStep/QA\n", - "│ │ Attributes:\n", - "│ │ processDescription: QA processing is performed by an external utility on...\n", - "│ │ identifier: atl06_qa_util\n", - "│ │ softwareVersion: Version 5.0\n", - "│ │ softwareDate: Sep 21 2022\n", - "│ │ softwareTitle: ATL06 QA Utility\n", - "│ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", - "│ │ stepDateTime: 2023-04-30T05:34:02.000000Z\n", - "│ ├── Group: /METADATA/ProductSpecificationDocument\n", - "│ │ Attributes:\n", - "│ │ ShortName: ATL06_SDP\n", - "│ │ characterSet: utf8\n", - "│ │ edition: v4.3\n", - "│ │ language: eng\n", - "│ │ publicationDate: Feb 2020\n", - "│ │ title: ICESat-2-SIPS-SPEC-4260 - ATLAS Science Algorithm Stand...\n", - "│ ├── Group: /METADATA/QADatasetIdentification\n", - "│ │ Attributes:\n", - "│ │ abstract: An ASCII product that contains statistical information on ...\n", - "│ │ creationDate: 2023-04-30T05:34:02.000000Z\n", - "│ │ fileName: ATL06_20200312233336_11800602_006_01.qa\n", - "│ └── Group: /METADATA/SeriesIdentification\n", - "│ Attributes: (12/19)\n", - "│ maintenanceAndUpdateFrequency: asNeeded\n", - "│ maintenanceDate: SET_BY_META\n", - "│ VersionID: 006\n", - "│ language: eng\n", - "│ characterSet: utf8\n", - "│ pointOfContact: NSIDC DAAC > NASA National Snow and Ic...\n", - "│ ... ...\n", - "│ credit: The software that generates the ATL06 ...\n", - "│ status: onGoing\n", - "│ format: HDF\n", - "│ formatVersion: 5\n", - "│ topicCategory: geoscientificInformation\n", - "│ mission: ICESat-2 > Ice, Cloud, and land Elevat...\n", - "├── Group: /gt1l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce3\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt1l\n", - "│ │ atmosphere_profile: profile_1\n", - "│ │ atlas_spot_number: 6\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt1l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 196kB ...\n", - "│ │ │ longitude (delta_time) float64 196kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", - "│ │ │ h_li (delta_time) float32 98kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", - "│ │ │ segment_id (delta_time) float64 196kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 24kB ...\n", - "│ │ │ dem_h (delta_time) float32 98kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ geoid_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", - "│ │ │ h_mean (delta_time) float32 98kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", - "│ │ │ snr (delta_time) float32 98kB ...\n", - "│ │ │ snr_significance (delta_time) float32 98kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt1l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 98kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", - "│ │ │ tide_load (delta_time) float32 98kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", - "│ │ │ tide_pole (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt1l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 24471)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 98kB ...\n", - "│ │ ref_coelv (delta_time) float32 98kB ...\n", - "│ │ seg_azimuth (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", - "│ │ x_atc (delta_time) float64 196kB ...\n", - "│ │ y_atc (delta_time) float32 98kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt1l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2332, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:48.720...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 9kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 187kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt1l/segment_quality\n", - "│ │ Dimensions: (delta_time: 27532)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 110kB ...\n", - "│ │ segment_id (delta_time) int32 110kB ...\n", - "│ │ signal_selection_source (delta_time) int8 28kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt1l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 27532)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 28kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt1r\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce3\n", - "│ │ atlas_beam_type: strong\n", - "│ │ groundtrack_id: gt1r\n", - "│ │ atmosphere_profile: profile_1\n", - "│ │ atlas_spot_number: 5\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt1r/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 196kB ...\n", - "│ │ │ longitude (delta_time) float64 196kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", - "│ │ │ h_li (delta_time) float32 98kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", - "│ │ │ segment_id (delta_time) float64 196kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 24kB ...\n", - "│ │ │ dem_h (delta_time) float32 98kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ geoid_h (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", - "│ │ │ h_mean (delta_time) float32 98kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", - "│ │ │ snr (delta_time) float32 98kB ...\n", - "│ │ │ snr_significance (delta_time) float32 98kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt1r/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 24471)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 98kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", - "│ │ │ tide_load (delta_time) float32 98kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", - "│ │ │ tide_pole (delta_time) float32 98kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt1r/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 24471)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 98kB ...\n", - "│ │ ref_coelv (delta_time) float32 98kB ...\n", - "│ │ seg_azimuth (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", - "│ │ x_atc (delta_time) float64 196kB ...\n", - "│ │ y_atc (delta_time) float32 98kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt1r/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2600, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 21kB 2020-03-12T23:40:39.900...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 21kB ...\n", - "│ │ lon_mean (delta_time) float64 21kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 16MB ...\n", - "│ │ pulse_count (delta_time) float32 10kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 208kB ...\n", - "│ │ x_atc_mean (delta_time) float64 21kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt1r/segment_quality\n", - "│ │ Dimensions: (delta_time: 27532)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 110kB ...\n", - "│ │ segment_id (delta_time) int32 110kB ...\n", - "│ │ signal_selection_source (delta_time) int8 28kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt1r/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 27532)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 28kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt2l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce2\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt2l\n", - "│ │ atmosphere_profile: profile_2\n", - "│ │ atlas_spot_number: 4\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt2l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 200kB ...\n", - "│ │ │ longitude (delta_time) float64 200kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", - "│ │ │ h_li (delta_time) float32 100kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", - "│ │ │ segment_id (delta_time) float64 200kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 25kB ...\n", - "│ │ │ dem_h (delta_time) float32 100kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ geoid_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", - "│ │ │ h_mean (delta_time) float32 100kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", - "│ │ │ snr (delta_time) float32 100kB ...\n", - "│ │ │ snr_significance (delta_time) float32 100kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt2l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 100kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", - "│ │ │ tide_load (delta_time) float32 100kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", - "│ │ │ tide_pole (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt2l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 25047)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 100kB ...\n", - "│ │ ref_coelv (delta_time) float32 100kB ...\n", - "│ │ seg_azimuth (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", - "│ │ x_atc (delta_time) float64 200kB ...\n", - "│ │ y_atc (delta_time) float32 100kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt2l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2364, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.692...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 9kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 189kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt2l/segment_quality\n", - "│ │ Dimensions: (delta_time: 31173)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 125kB ...\n", - "│ │ segment_id (delta_time) int32 125kB ...\n", - "│ │ signal_selection_source (delta_time) int8 31kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt2l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 31173)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 31kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt2r\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce2\n", - "│ │ atlas_beam_type: strong\n", - "│ │ groundtrack_id: gt2r\n", - "│ │ atmosphere_profile: profile_2\n", - "│ │ atlas_spot_number: 3\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt2r/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 200kB ...\n", - "│ │ │ longitude (delta_time) float64 200kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", - "│ │ │ h_li (delta_time) float32 100kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", - "│ │ │ segment_id (delta_time) float64 200kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 25kB ...\n", - "│ │ │ dem_h (delta_time) float32 100kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ geoid_h (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", - "│ │ │ h_mean (delta_time) float32 100kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", - "│ │ │ snr (delta_time) float32 100kB ...\n", - "│ │ │ snr_significance (delta_time) float32 100kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt2r/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 25047)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 100kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", - "│ │ │ tide_load (delta_time) float32 100kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", - "│ │ │ tide_pole (delta_time) float32 100kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt2r/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 25047)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 100kB ...\n", - "│ │ ref_coelv (delta_time) float32 100kB ...\n", - "│ │ seg_azimuth (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", - "│ │ x_atc (delta_time) float64 200kB ...\n", - "│ │ y_atc (delta_time) float32 100kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt2r/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2781, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020-03-12T23:40:28.745...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 22kB ...\n", - "│ │ lon_mean (delta_time) float64 22kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 11kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 17MB ...\n", - "│ │ pulse_count (delta_time) float32 11kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 222kB ...\n", - "│ │ x_atc_mean (delta_time) float64 22kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt2r/segment_quality\n", - "│ │ Dimensions: (delta_time: 31173)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 125kB ...\n", - "│ │ segment_id (delta_time) int32 125kB ...\n", - "│ │ signal_selection_source (delta_time) int8 31kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt2r/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 31173)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 31kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "├── Group: /gt3l\n", - "│ │ Attributes:\n", - "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - "│ │ atlas_pce: pce1\n", - "│ │ atlas_beam_type: weak\n", - "│ │ groundtrack_id: gt3l\n", - "│ │ atmosphere_profile: profile_3\n", - "│ │ atlas_spot_number: 2\n", - "│ │ sc_orientation: Forward\n", - "│ ├── Group: /gt3l/land_ice_segments\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Coordinates:\n", - "│ │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", - "│ │ │ latitude (delta_time) float64 209kB ...\n", - "│ │ │ longitude (delta_time) float64 209kB ...\n", - "│ │ │ Data variables:\n", - "│ │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", - "│ │ │ h_li (delta_time) float32 104kB ...\n", - "│ │ │ h_li_sigma (delta_time) float32 104kB ...\n", - "│ │ │ segment_id (delta_time) float64 209kB ...\n", - "│ │ │ sigma_geo_h (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/bias_correction\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables:\n", - "│ │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", - "│ │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", - "│ │ │ fpb_med_corr (delta_time) float32 104kB ...\n", - "│ │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", - "│ │ │ fpb_n_corr (delta_time) float32 104kB ...\n", - "│ │ │ med_r_fit (delta_time) float32 104kB ...\n", - "│ │ │ tx_mean_corr (delta_time) float32 104kB ...\n", - "│ │ │ tx_med_corr (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The bias_correction group contains information about the es...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/dem\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables:\n", - "│ │ │ dem_flag (delta_time) int8 26kB ...\n", - "│ │ │ dem_h (delta_time) float32 104kB ...\n", - "│ │ │ geoid_free2mean (delta_time) float32 104kB ...\n", - "│ │ │ geoid_h (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: Contains reference DEM and geoid heights.\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/fit_statistics\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables: (12/15)\n", - "│ │ │ dh_fit_dx (delta_time) float32 104kB ...\n", - "│ │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", - "│ │ │ dh_fit_dy (delta_time) float32 104kB ...\n", - "│ │ │ h_expected_rms (delta_time) float32 104kB ...\n", - "│ │ │ h_mean (delta_time) float32 104kB ...\n", - "│ │ │ h_rms_misfit (delta_time) float32 104kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ sigma_h_mean (delta_time) float32 104kB ...\n", - "│ │ │ signal_selection_source (delta_time) int8 26kB ...\n", - "│ │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", - "│ │ │ snr (delta_time) float32 104kB ...\n", - "│ │ │ snr_significance (delta_time) float32 104kB ...\n", - "│ │ │ w_surface_window_final (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ ├── Group: /gt3l/land_ice_segments/geophysical\n", - "│ │ │ Dimensions: (delta_time: 26106)\n", - "│ │ │ Data variables: (12/20)\n", - "│ │ │ bckgrd (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_conf (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_h (delta_time) float32 104kB ...\n", - "│ │ │ bsnow_od (delta_time) float32 104kB ...\n", - "│ │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", - "│ │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", - "│ │ │ ... ...\n", - "│ │ │ tide_earth (delta_time) float32 104kB ...\n", - "│ │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", - "│ │ │ tide_equilibrium (delta_time) float32 104kB ...\n", - "│ │ │ tide_load (delta_time) float32 104kB ...\n", - "│ │ │ tide_ocean (delta_time) float32 104kB ...\n", - "│ │ │ tide_pole (delta_time) float32 104kB ...\n", - "│ │ │ Attributes:\n", - "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ │ └── Group: /gt3l/land_ice_segments/ground_track\n", - "│ │ Dimensions: (delta_time: 26106)\n", - "│ │ Data variables:\n", - "│ │ ref_azimuth (delta_time) float32 104kB ...\n", - "│ │ ref_coelv (delta_time) float32 104kB ...\n", - "│ │ seg_azimuth (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_at (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_r (delta_time) float32 104kB ...\n", - "│ │ sigma_geo_xt (delta_time) float32 104kB ...\n", - "│ │ x_atc (delta_time) float64 209kB ...\n", - "│ │ y_atc (delta_time) float32 104kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The ground_track group contains parameters describing the G...\n", - "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - "│ ├── Group: /gt3l/residual_histogram\n", - "│ │ Dimensions: (delta_time: 2418, bin_top_h: 748, ds_segment_id: 10)\n", - "│ │ Coordinates:\n", - "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.096...\n", - "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - "│ │ lat_mean (delta_time) float64 19kB ...\n", - "│ │ lon_mean (delta_time) float64 19kB ...\n", - "│ │ Data variables:\n", - "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", - "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", - "│ │ pulse_count (delta_time) float32 10kB ...\n", - "│ │ segment_id_list (delta_time, ds_segment_id) float64 193kB ...\n", - "│ │ x_atc_mean (delta_time) float64 19kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: This group contains histograms of the residuals between PE ...\n", - "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - "│ └── Group: /gt3l/segment_quality\n", - "│ │ Dimensions: (delta_time: 32617)\n", - "│ │ Coordinates:\n", - "│ │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", - "│ │ reference_pt_lat (delta_time) float64 261kB ...\n", - "│ │ reference_pt_lon (delta_time) float64 261kB ...\n", - "│ │ Data variables:\n", - "│ │ record_number (delta_time) int32 130kB ...\n", - "│ │ segment_id (delta_time) int32 130kB ...\n", - "│ │ signal_selection_source (delta_time) int8 33kB ...\n", - "│ │ Attributes:\n", - "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", - "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "│ └── Group: /gt3l/segment_quality/signal_selection_status\n", - "│ Dimensions: (delta_time: 32617)\n", - "│ Data variables:\n", - "│ signal_selection_status_all (delta_time) int8 33kB ...\n", - "│ signal_selection_status_backup (delta_time) int8 33kB ...\n", - "│ signal_selection_status_confident (delta_time) int8 33kB ...\n", - "│ Attributes:\n", - "│ Description: The signal selection status subgroup contains the success o...\n", - "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - "└── Group: /gt3r\n", - " │ Attributes:\n", - " │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", - " │ atlas_pce: pce1\n", - " │ atlas_beam_type: strong\n", - " │ groundtrack_id: gt3r\n", - " │ atmosphere_profile: profile_3\n", - " │ atlas_spot_number: 1\n", - " │ sc_orientation: Forward\n", - " ├── Group: /gt3r/land_ice_segments\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Coordinates:\n", - " │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", - " │ │ latitude (delta_time) float64 209kB ...\n", - " │ │ longitude (delta_time) float64 209kB ...\n", - " │ │ Data variables:\n", - " │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", - " │ │ h_li (delta_time) float32 104kB ...\n", - " │ │ h_li_sigma (delta_time) float32 104kB ...\n", - " │ │ segment_id (delta_time) float64 209kB ...\n", - " │ │ sigma_geo_h (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The land_ice_height group contains the primary set of deriv...\n", - " │ │ data_rate: Data within this group are sparse. Data values are provide...\n", - " │ ├── Group: /gt3r/land_ice_segments/bias_correction\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables:\n", - " │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", - " │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", - " │ │ fpb_med_corr (delta_time) float32 104kB ...\n", - " │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", - " │ │ fpb_n_corr (delta_time) float32 104kB ...\n", - " │ │ med_r_fit (delta_time) float32 104kB ...\n", - " │ │ tx_mean_corr (delta_time) float32 104kB ...\n", - " │ │ tx_med_corr (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The bias_correction group contains information about the es...\n", - " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - " │ ├── Group: /gt3r/land_ice_segments/dem\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables:\n", - " │ │ dem_flag (delta_time) int8 26kB ...\n", - " │ │ dem_h (delta_time) float32 104kB ...\n", - " │ │ geoid_free2mean (delta_time) float32 104kB ...\n", - " │ │ geoid_h (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: Contains reference DEM and geoid heights.\n", - " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", - " │ ├── Group: /gt3r/land_ice_segments/fit_statistics\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables: (12/15)\n", - " │ │ dh_fit_dx (delta_time) float32 104kB ...\n", - " │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", - " │ │ dh_fit_dy (delta_time) float32 104kB ...\n", - " │ │ h_expected_rms (delta_time) float32 104kB ...\n", - " │ │ h_mean (delta_time) float32 104kB ...\n", - " │ │ h_rms_misfit (delta_time) float32 104kB ...\n", - " │ │ ... ...\n", - " │ │ sigma_h_mean (delta_time) float32 104kB ...\n", - " │ │ signal_selection_source (delta_time) int8 26kB ...\n", - " │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", - " │ │ snr (delta_time) float32 104kB ...\n", - " │ │ snr_significance (delta_time) float32 104kB ...\n", - " │ │ w_surface_window_final (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", - " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " │ ├── Group: /gt3r/land_ice_segments/geophysical\n", - " │ │ Dimensions: (delta_time: 26106)\n", - " │ │ Data variables: (12/20)\n", - " │ │ bckgrd (delta_time) float32 104kB ...\n", - " │ │ bsnow_conf (delta_time) float32 104kB ...\n", - " │ │ bsnow_h (delta_time) float32 104kB ...\n", - " │ │ bsnow_od (delta_time) float32 104kB ...\n", - " │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", - " │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", - " │ │ ... ...\n", - " │ │ tide_earth (delta_time) float32 104kB ...\n", - " │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", - " │ │ tide_equilibrium (delta_time) float32 104kB ...\n", - " │ │ tide_load (delta_time) float32 104kB ...\n", - " │ │ tide_ocean (delta_time) float32 104kB ...\n", - " │ │ tide_pole (delta_time) float32 104kB ...\n", - " │ │ Attributes:\n", - " │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", - " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " │ └── Group: /gt3r/land_ice_segments/ground_track\n", - " │ Dimensions: (delta_time: 26106)\n", - " │ Data variables:\n", - " │ ref_azimuth (delta_time) float32 104kB ...\n", - " │ ref_coelv (delta_time) float32 104kB ...\n", - " │ seg_azimuth (delta_time) float32 104kB ...\n", - " │ sigma_geo_at (delta_time) float32 104kB ...\n", - " │ sigma_geo_r (delta_time) float32 104kB ...\n", - " │ sigma_geo_xt (delta_time) float32 104kB ...\n", - " │ x_atc (delta_time) float64 209kB ...\n", - " │ y_atc (delta_time) float32 104kB ...\n", - " │ Attributes:\n", - " │ Description: The ground_track group contains parameters describing the G...\n", - " │ data_rate: Data within this group are stored at the land_ice_height se...\n", - " ├── Group: /gt3r/residual_histogram\n", - " │ Dimensions: (delta_time: 3008, bin_top_h: 748, ds_segment_id: 10)\n", - " │ Coordinates:\n", - " │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", - " │ * delta_time (delta_time) datetime64[ns] 24kB 2020-03-12T23:40:28.416...\n", - " │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", - " │ lat_mean (delta_time) float64 24kB ...\n", - " │ lon_mean (delta_time) float64 24kB ...\n", - " │ Data variables:\n", - " │ bckgrd_per_m (delta_time) float32 12kB ...\n", - " │ count (delta_time, bin_top_h) float64 18MB ...\n", - " │ pulse_count (delta_time) float32 12kB ...\n", - " │ segment_id_list (delta_time, ds_segment_id) float64 241kB ...\n", - " │ x_atc_mean (delta_time) float64 24kB ...\n", - " │ Attributes:\n", - " │ Description: This group contains histograms of the residuals between PE ...\n", - " │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", - " └── Group: /gt3r/segment_quality\n", - " │ Dimensions: (delta_time: 32617)\n", - " │ Coordinates:\n", - " │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", - " │ reference_pt_lat (delta_time) float64 261kB ...\n", - " │ reference_pt_lon (delta_time) float64 261kB ...\n", - " │ Data variables:\n", - " │ record_number (delta_time) int32 130kB ...\n", - " │ segment_id (delta_time) int32 130kB ...\n", - " │ signal_selection_source (delta_time) int8 33kB ...\n", - " │ Attributes:\n", - " │ Description: The segment_quality group contains a dense record (i.e. for...\n", - " │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", - " └── Group: /gt3r/segment_quality/signal_selection_status\n", - " Dimensions: (delta_time: 32617)\n", - " Data variables:\n", - " signal_selection_status_all (delta_time) int8 33kB ...\n", - " signal_selection_status_backup (delta_time) int8 33kB ...\n", - " signal_selection_status_confident (delta_time) int8 33kB ...\n", - " Attributes:\n", - " Description: The signal selection status subgroup contains the success o...\n", - " data_rate: Data within this group are stored at the ICESat-2 20m segme..." - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "ds" + "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`. However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`. `xarray` does this all _under-the-hood_ in a single line. \n", + "\n", + "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. " ] }, { @@ -85462,110 +338,17 @@ "id": "1282ce34", "metadata": {}, "source": [ - "`hvplot` is an interactive plotting tool that is useful for exploring data." + "`hvplot` is an interactive plotting tool that is useful for exploring data:" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "be7386c3", "metadata": {}, - "outputs": [ - { - "data": {}, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
\n", - "
\n", - "
\n", - "" - ], - "text/plain": [ - ":Scatter [longitude] (Land Ice height)" - ] - }, - "execution_count": 14, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "dbea2739-698c-43fc-94bd-725cb4837a44" - } - }, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "ds['/gt1l/land_ice_segments/h_li'].hvplot(kind='scatter', s=2)" + "dt['/gt1l/land_ice_segments/h_li'].hvplot(kind='scatter', s=2)" ] }, { @@ -85578,7 +361,7 @@ "We have learned how to:\n", "1. use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results;\n", "2. open data granules using direct access to the ICESat-2 S3 bucket;\n", - "3. load a HDF5 group into an xarray.Dataset;\n", + "3. load a HDF5 group into an xarray.Datatree;\n", "4. visualize the land ice heights using hvplot." ] }, From 8a359ba0a0a8eada6a7dcc3963acaad813cd3750 Mon Sep 17 00:00:00 2001 From: asteiker Date: Wed, 12 Feb 2025 22:32:25 +0000 Subject: [PATCH 3/5] update rendered notebook with datatree guidance --- .../ATL06-direct-access_rendered.ipynb | 43871 +++++++++++++++- 1 file changed, 42072 insertions(+), 1799 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb index 1de4abe..ea9dd74 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb @@ -7,17 +7,13 @@ "tags": [] }, "source": [ - "
\n", - "\n", - " \n", "# **Accessing and working with ICESat-2 data in the cloud**\n", - " \n", - "
\n", - " \n", "\n", - "## **1. Tutorial Overview**\n", "\n", - "**Note: This is an updated version of the notebook that was presented to the NSIDC DAAC User Working Group in May 2022**\n", + "
\n", + " \n", + "\n", + "## **1. Tutorial Overview**\n", "\n", "This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. NASA data \"in the cloud\" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. **Direct Access** is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing. \n", "\n", @@ -25,12 +21,12 @@ "\n", "As an example data collection, we use ICESat-2 Land Ice Height (ATL06) over the Juneau Icefield, AK, for March 2003. ICESat-2 data granules, including ATL06, are stored in HDF5 format. We demonstrate how to open an HDF5 granule and access data variables using `xarray`. Land Ice Heights are then plotted using `hvplot`. \n", "\n", - "`earthaccess` is a package developed by Luis Lopez (NSIDC developer) to allow easy search of the NASA Common Metadata Repository (CMR) and download of NASA data collections. It can be used for programmatic search and access for both _DAAC-hosted_ and _cloud-hosted_ data. It manages authenticating using Earthdata Login credentials which are then used to obtain the S3 tokens that are needed for S3 direct access. https://github.com/nsidc/earthaccess\n", + "`earthaccess` is a community-developed Python package developed by Luis Lopez (NSIDC developer) to allow easy search of the NASA Common Metadata Repository (CMR) and download of NASA data collections. It can be used for programmatic search and access for both _on-premises-hosted_ and _cloud-hosted_ data. It manages authenticating using Earthdata Login credentials which are then used to obtain the S3 tokens that are needed for S3 direct access. https://github.com/nsidc/earthaccess\n", "\n", "\n", "### **Credits**\n", "\n", - "The notebook was created by Andy Barrett, NSIDC, updated by Jennifer Roebuck, NSIDC, and is based on notebooks developed by Luis Lopez and Mikala Beig, NSIDC.\n", + "The notebook was created by Andy Barrett, NSIDC, updated by Jennifer Roebuck and Amy Steiker, NSIDC, and is based on notebooks developed by Luis Lopez and Mikala Beig, NSIDC.\n", "\n", "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues).\n", "\n", @@ -39,23 +35,20 @@ "By the end of this demonstration you will be able to: \n", "1. use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results; \n", "2. open data granules using direct access to the ICESat-2 S3 bucket; \n", - "3. load a HDF5 group into an `xarray.Dataset`; \n", + "3. load HDF5 data into an `xarray.Datatree` object;\n", "4. visualize the land ice heights using `hvplot`. \n", "\n", "### **Prerequisites**\n", "\n", - "1. An Amazon Web Services (AWS) account. You will be accessing data in Amazon Web Services (AWS) Simple Storage Service (S3) buckets. This requires an AWS account, for details on how to set one up see [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", - "2. An EC2 instance in the us-west-2 region is set up. **NASA cloud-hosted data is in Amazon Region us-west2. So you also need an EC2 instance in the us-west-2 region.** An EC2 instance is a virtual computer that you create to perform processing operations in place of using your own desktop or laptop. Details on how to set up an instance can be found [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", - "3. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", - "4. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following [these instructions](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) (Step 1) and to use the .netrc file for authentication when required for data access during the tutorial.\n", - "5. The *nsidc-tutorials* environment is setup and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", + "1. An EC2 instance in the us-west-2 region. **NASA cloud-hosted data is in Amazon Region us-west2. So you also need an EC2 instance in the us-west-2 region.** An EC2 instance is a virtual computer that you create to perform processing operations in place of using your own desktop or laptop. Details on how to set up an instance can be found [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", + "2. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", + "3. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following [these instructions](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) (Step 1) and to use the .netrc file for authentication when required for data access during the tutorial.\n", + "4. The *nsidc-tutorials* environment is setup and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", "\n", "### **Example of end product** \n", "At the end of this tutorial, the following figure will be generated:\n", - "
\n", - "\n", - "
\n", - "\n", + " \n", + "![ATL06 land ice heights](./img/atl06_example_end_product.png)\n", "### **Time requirement**\n", "\n", "Allow approximately 20 minutes to complete this tutorial." @@ -96,6 +89,30 @@ "tags": [] }, "outputs": [ + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/javascript": [ @@ -104,14 +121,13 @@ " return new Date();\n", " }\n", "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", + " const force = true;\n", + " const py_version = '3.6.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = false;\n", + " const Bokeh = root.Bokeh;\n", "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -123,26 +139,28 @@ " callback();\n", " });\n", " } finally {\n", - " delete root._bokeh_onload_callbacks\n", + " delete root._bokeh_onload_callbacks;\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", - " function load_libs(css_urls, js_urls, js_modules, callback) {\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", + "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -151,13 +169,36 @@ " run_callbacks()\n", " }\n", " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", + " }\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " const skip = [];\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", + " } else {\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", + " if (link.href != null) {\n", + " existing_stylesheets.push(link.href)\n", + " }\n", + " }\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", + " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", @@ -166,40 +207,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " }\n", - "\n", - " var skip = [];\n", - " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n", - " require([\"gridstack\"], function(GridStack) {\n", - "\twindow.GridStack = GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 2;\n", - " } else {\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", + " } var existing_scripts = []\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + " existing_scripts.push(script.src)\n", " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) >= 0) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " }\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -207,13 +232,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) >= 0) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -224,6 +250,27 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", + " for (const name in js_exports) {\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", " if (!js_urls.length && !js_modules.length) {\n", " on_load()\n", " }\n", @@ -235,1532 +282,88 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [];\n", - " var js_modules = [];\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", - " inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n overflow-wrap: break-word;\\n text-align: center;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".bk.debugger-card {\\n border: 1px solid rgba(0,0,0,1);\\n color: rgba(255,255,255,1);\\n background-color: rgba(0,0,0,1);\\n border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n align-items: center;\\n text-align: left;\\n background-color: rgba(0, 0, 0, 1)!important;\\n color: rgba(255, 255, 255, 1);\\n border-radius: 0rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.debugger-card-button {\\n background-color: transparent;\\n color: rgba(255, 255, 255, 1);\\n margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n align-items: center;\\n text-align: left;\\n color: rgba(255, 255, 255, 1);\\n font-size: 1em;\\n overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n width: 25px;\\n height: 25px;\\n background-color: black;\\n color: white;\\n display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n visibility: hidden;\\n width: 100px;\\n background-color: darkgray;\\n color: #fff;\\n text-align: center;\\n border-radius: 6px;\\n padding: 5px 0;\\n\\n /* Position the tooltip */\\n position: relative;\\n z-index: 1;\\n top: 100%;\\n left: 100%;\\n margin-left: -100px;\\n display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".bk.pn-loading {\\n overflow: hidden;\\n}\\n.bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n.bk.pn-loading .pn-loading-msg {\\n position: absolute;\\n top: 72%;\\n font-size: 2em;\\n color: black;\\n width: 100%;\\n text-align: center;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\\n.markdown .codehilite {\\n padding: 1rem 1.25rem;\\n margin-top: 1rem;\\n margin-bottom: 1rem;\\n border-radius: 0.25rem;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\n}\\n\");\n", - " }, function(Bokeh) {\n", - " inject_raw_css(\"\\n .bk.pn-loading.arc:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n", - " }, function(Bokeh) {\n", - " /* BEGIN bokeh.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " const bokeh = factory();\n", - " bokeh.__bokeh__ = true;\n", - " if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n", - " root.Bokeh = bokeh;\n", - " }\n", - " const Bokeh = root.Bokeh;\n", - " Bokeh[bokeh.version] = bokeh;\n", - " })(this, function() {\n", - " let define;\n", - " const parent_require = typeof require === \"function\" && require\n", - " return (function(modules, entry, aliases, externals) {\n", - " if (aliases === undefined) aliases = {};\n", - " if (externals === undefined) externals = {};\n", - "\n", - " const cache = {};\n", - "\n", - " const normalize = function(name) {\n", - " if (typeof name === \"number\")\n", - " return name;\n", - "\n", - " if (name === \"bokehjs\")\n", - " return entry;\n", - "\n", - " if (!externals[name]) {\n", - " const prefix = \"@bokehjs/\"\n", - " if (name.slice(0, prefix.length) === prefix)\n", - " name = name.slice(prefix.length)\n", - " }\n", - "\n", - " const alias = aliases[name]\n", - " if (alias != null)\n", - " return alias;\n", - "\n", - " const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", - " const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", - " if (index != null)\n", - " return index;\n", - "\n", - " return name;\n", - " }\n", - "\n", - " const require = function(name) {\n", - " let mod = cache[name];\n", - " if (!mod) {\n", - " const id = normalize(name);\n", - "\n", - " mod = cache[id];\n", - " if (!mod) {\n", - " if (!modules[id]) {\n", - " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", - " try {\n", - " mod = {exports: externals[id] ? parent_require(id) : {}};\n", - " cache[id] = cache[name] = mod;\n", - " return mod.exports;\n", - " } catch (e) {}\n", - " }\n", - "\n", - " const err = new Error(\"Cannot find module '\" + name + \"'\");\n", - " err.code = 'MODULE_NOT_FOUND';\n", - " throw err;\n", - " }\n", - "\n", - " mod = {exports: {}};\n", - " cache[id] = cache[name] = mod;\n", - "\n", - " function __esModule() {\n", - " Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n", - " }\n", - "\n", - " function __esExport(name, value) {\n", - " Object.defineProperty(mod.exports, name, {\n", - " enumerable: true, get: function () { return value; }\n", - " });\n", - " }\n", - "\n", - " modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n", - " } else {\n", - " cache[name] = mod;\n", - " }\n", - " }\n", - "\n", - " return mod.exports;\n", - " }\n", - " require.resolve = function(name) {\n", - " return \"\"\n", - " }\n", - "\n", - " const main = require(entry);\n", - " main.require = require;\n", - "\n", - " if (typeof Proxy !== \"undefined\") {\n", - " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", - " main.loader = new Proxy({}, {\n", - " get: function(_obj, module) {\n", - " return require(module);\n", - " }\n", - " });\n", - " }\n", - "\n", - " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", - " if (plugin_aliases === undefined) plugin_aliases = {};\n", - " if (plugin_externals === undefined) plugin_externals = {};\n", - "\n", - " for (let name in plugin_modules) {\n", - " modules[name] = plugin_modules[name];\n", - " }\n", - "\n", - " for (let name in plugin_aliases) {\n", - " aliases[name] = 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it\");return\"m\"===r?n:\"a\"===r?n.call(t):n?n.value:e.get(t)},r.__classPrivateFieldSet=function(t,e,r,n,o){if(\"m\"===n)throw new TypeError(\"Private method is not writable\");if(\"a\"===n&&!o)throw new TypeError(\"Private accessor was defined without a setter\");if(\"function\"==typeof e?t!==e||!o:!e.has(t))throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");return\"a\"===n?o.call(t,r):o?o.value=r:e.set(t,r),r}},\n", - " function _(e,t,o,s,l){s();const n=e(1);l(\"version\",e(3).version),l(\"index\",e(4).index),o.embed=(0,n.__importStar)(e(4)),o.protocol=(0,n.__importStar)(e(406)),o._testing=(0,n.__importStar)(e(407));var r=e(19);l(\"logger\",r.logger),l(\"set_log_level\",r.set_log_level),l(\"settings\",e(28).settings),l(\"Models\",e(7).Models),l(\"documents\",e(5).documents),l(\"safely\",e(408).safely)},\n", - " function _(n,i,o,c,e){c(),o.version=\"2.4.3\"},\n", - " function _(e,o,t,n,s){n();const d=e(5),r=e(19),_=e(34),c=e(13),i=e(8),a=e(16),u=e(397),l=e(399),m=e(398);var f=e(397);s(\"add_document_standalone\",f.add_document_standalone),s(\"index\",f.index),s(\"add_document_from_session\",e(399).add_document_from_session);var g=e(404);async function w(e,o,t,n){(0,i.isString)(e)&&(e=JSON.parse((0,_.unescape)(e)));const s={};for(const[o,t]of(0,c.entries)(e))s[o]=d.Document.from_json(t);const a=[];for(const e of o){const o=(0,m._resolve_element)(e),d=(0,m._resolve_root_elements)(e);if(null!=e.docid)a.push(await(0,u.add_document_standalone)(s[e.docid],o,d,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const s=(0,l._get_ws_url)(t,n);r.logger.debug(`embed: computed ws url: ${s}`);try{a.push(await(0,l.add_document_from_session)(s,e.token,o,d,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return a}s(\"embed_items_notebook\",g.embed_items_notebook),s(\"kernels\",g.kernels),s(\"BOKEH_ROOT\",e(398).BOKEH_ROOT),t.embed_item=async function(e,o){const t={},n=(0,_.uuid4)();t[n]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(m.BOKEH_ROOT);const d={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:n};await(0,a.defer)();const[r]=await w(t,[d]);return r},t.embed_items=async function(e,o,t,n){return await(0,a.defer)(),w(e,o,t,n)}},\n", - " function _(t,_,o,r,n){r();const a=t(1);(0,a.__exportStar)(t(6),o),(0,a.__exportStar)(t(35),o)},\n", - " function _(e,t,s,o,n){o();const i=e(1),r=e(7),l=e(3),_=e(19),a=e(251),c=e(14),d=e(30),h=e(15),f=e(17),u=e(31),m=e(29),g=e(9),v=e(13),p=(0,i.__importStar)(e(77)),w=e(26),b=e(8),y=e(309),k=e(75),M=e(53),j=e(396),z=e(35);class S{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new z.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=S,S.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new r.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new S(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof y.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(_.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new a.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new a.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new a.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){_.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new z.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof z.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new z.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,r,l,s),null!=i.subtype&&_.set_subtype(i.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),_=E._resolve_refs(r,t,s,o);l.setv(_,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n", - " function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of(0,i.isArray)(e)?e:(0,d.values)(e))if(r=t,(0,i.isObject)(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class _{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. 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Set]\":return this.sets(t,e);case\"[object Object]\":if(t.constructor==e.constructor&&(null==t.constructor||t.constructor===Object))return this.objects(t,e);case\"[object Function]\":if(t.constructor==e.constructor&&t.constructor===Function)return this.eq(`${t}`,`${e}`)}if(t instanceof Node)return this.nodes(t,e);throw Error(`can't compare objects of type ${n}`)})();return s.pop(),o.pop(),u}numbers(t,e){return Object.is(t,e)}arrays(t,e){const{length:r}=t;if(r!=e.length)return!1;for(let n=0;n{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new 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t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=r.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){h.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of(0,l.isArray)(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[_.default]}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}}s.View=d,d.__name__=\"View\"},\n", - " function 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document.createTextNode(\"\\xa0\")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n", - " function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n", - " function _(e,t,r,a,c){a();const n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,n.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();a instanceof V.VisualProperties&&a.update(),this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n", - " function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n", - " function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n", - " function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", - " function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n", - " function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n", - " function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n", - " function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n", - " function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n", - " function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n", - " function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n", - " function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n", - " function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n", - " function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n", - " function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", - " function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n", - " function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n", - " function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n", - " function _(t,i,n,e,a){e();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return el&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n", - " function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n", - " function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n", - " function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n", - " function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n", - " function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n", - " function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n", - " function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n", - " function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n", - " function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n", - " function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n", - " function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n", - " function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n", - " function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n", - " function 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h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n", - " function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n", - " function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n", - " function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 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n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n", - " function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n", - " function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n", - " function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", - " function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n", - " function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n", - " function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n", - " function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n", - " function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n", - " function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n", - " function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n", - " function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n", - " function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n", - " function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l=function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n", - " function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n", - " function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n", - " function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", - " function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n", - " function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n", - " function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n", - " function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", - " function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n", - " function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", - " function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", - " function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n", - " function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n", - " function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n", - " function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", - " function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n", - " function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", - " function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n", - " function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n", - " function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n", - " function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n", - " function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n", - " function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n", - " function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n", - " function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n", - " function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n", - " function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n", - " function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(519)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n", - " function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n", - " function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n", - " function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&pnew h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n", - " function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&tnew _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n", - " function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n", - " function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n", - " function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n", - " function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=(0,_.nth)(this.mantissas,-1)/this.base,i=(0,_.nth)(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const s=i-t,e=this.get_ideal_interval(t,i,a),n=Math.floor((0,l.log)(e/this.base_factor,this.base)),r=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-s/(t*r)))),v=h[(0,_.argmin)(m)]*r;return(0,l.clamp)(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=h,n=h,h.__name__=\"AdaptiveTicker\",n.define((({Number:t,Array:i,Nullable:a})=>({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))},\n", - " function _(t,n,i,s,e){var o;s();const r=t(130),c=t(9);class _ extends r.Ticker{constructor(t){super(t)}get_ticks(t,n,i,s){return this.get_ticks_no_defaults(t,n,s,this.desired_num_ticks)}get_ticks_no_defaults(t,n,i,s){const e=this.get_interval(t,n,s),o=Math.floor(t/e),r=Math.ceil(n/e);let _;_=isFinite(o)&&isFinite(r)?(0,c.range)(o,r+1):[];const u=_.map((t=>t*e)).filter((i=>t<=i&&i<=n)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const i=e/a,s=(0,c.range)(0,a).map((t=>t*i));for(const i of s.slice(1)){const s=u[0]-i;t<=s&&s<=n&&f.push(s)}for(const i of u)for(const e of s){const s=i+e;t<=s&&s<=n&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,n,i){return(n-t)/i}}i.ContinuousTicker=_,o=_,_.__name__=\"ContinuousTicker\",o.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))},\n", - " function _(s,t,e,n,i){n();var r;const o=(0,s(1).__importDefault)(s(151)),a=s(131),c=s(19),u=s(152),m=s(9),h=s(8);function d(s){return(0,o.default)(s,\"%Y %m %d %H %M %S\").split(/\\s+/).map((s=>parseInt(s,10)))}function l(s,t){if((0,h.isFunction)(t))return t(s);{const 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_(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n", - " function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n", - " function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", - " function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n", - " function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)u(e)({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n", - " function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n", - " function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n", - " function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n", - " function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n", - " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n", - " function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n", - " function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n", - " function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", - " function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n", - " function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n", - " function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n", - " function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{fill_alpha:.2},line:{}};class x extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=x,x.__name__=\"GlyphRendererView\";class G extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n", - " function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n", - " function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n", - " function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got 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this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const 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i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", - " function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", - " function _(e,n,a,t,i){t();const l=(0,e(1).__importStar)(e(185));function r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n", - " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n", - " function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(n[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}_hit_point(t){const s=this.sy.length,e=new l.Selection;for(let i=0,n=s-1;i({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.YCoordinateSpec,{field:\"y\"}]})))},\n", - " function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n", - " function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.YCoordinateSpec,{field:\"y2\"}]})))},\n", - " function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;ethis._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n", - " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n", - " function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n", - " function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n", - " function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n", - " function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n", - " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n", - " function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n", - " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", - " function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n", - " function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n", - " function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n", - " function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n", - " function _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\n", - " function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n", - " function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n", - " function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n", - " function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", - " function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n", - " function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", - " function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n", - " function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n", - " function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n", - " function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n", - " function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", - " function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n", - " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n", - " function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", - " function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n", - " function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n", - " function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n", - " function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n", - " function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n", - " function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n", - " function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n", - " function _(t,e,i,n,r){\n", - " /*! 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n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n", - " function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n", - " function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n", - " function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n", - " function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n", - " function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let e=!0;for(const t of n)e?e=!1:null!=o&&(yield o()),yield*t},e.combinations=i,e.subsets=function*(n){for(const o of(0,r.range)(n.length+1))yield*i(n,o)}},\n", - " function _(t,e,s,i,n){i();const o=t(236),a=t(65),r=t(43);function h(t){!function(t){void 0===t.lineDash&&Object.defineProperty(t,\"lineDash\",{get:()=>t.getLineDash(),set:e=>t.setLineDash(e)})}(t),function(t){t.setImageSmoothingEnabled=e=>{t.imageSmoothingEnabled=e,t.mozImageSmoothingEnabled=e,t.oImageSmoothingEnabled=e,t.webkitImageSmoothingEnabled=e,t.msImageSmoothingEnabled=e},t.getImageSmoothingEnabled=()=>{const e=t.imageSmoothingEnabled;return null==e||e}}(t),function(t){t.ellipse||(t.ellipse=function(e,s,i,n,o,a,r,h=!1){const l=.551784;t.translate(e,s),t.rotate(o);let c=i,g=n;h&&(c=-i,g=-n),t.moveTo(-c,0),t.bezierCurveTo(-c,g*l,-c*l,g,0,g),t.bezierCurveTo(c*l,g,c,g*l,c,0),t.bezierCurveTo(c,-g*l,c*l,-g,0,-g),t.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),t.rotate(-o),t.translate(-e,-s)})}(t)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(t,e){switch(this.backend=t,this.hidpi=e,this.pixel_ratio=1,this.bbox=new a.BBox,t){case\"webgl\":case\"canvas\":{this._el=this._canvas=(0,r.canvas)({style:l});const t=this.canvas.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t,e&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const t=new o.SVGRenderingContext2D;this._ctx=t,this._canvas=t.get_svg(),this._el=(0,r.div)({style:l},this._canvas);break}}this._ctx.layer=this,h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(t,e){this.bbox=new a.BBox({left:0,top:0,width:t,height:e});const s=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;s.width=t*this.pixel_ratio,s.height=e*this.pixel_ratio}undo_transform(t){const{ctx:e}=this;if(void 0===e.getTransform)t(e);else{const 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-7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", - " function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n", - " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n", - " function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n", - " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", - " function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n", - " function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n", - " function _(e,t,i,s,a){var l,r=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&r(t,e,i);return n(t,e),t};s();const h=e(14),c=e(28),u=e(226),_=e(19),d=e(43),p=e(20),b=e(13),v=e(250),g=e(65),w=e(138),y=e(235);const f=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,w.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};_.logger.trace(\"WebGL is supported, but not the required extensions\")}else _.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else _.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class x extends u.DOMView{constructor(){super(...arguments),this.bbox=new g.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,d.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,d.div)({style:m}),this.events_el=(0,d.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,b.extend)(this.el.style,m),(0,d.append)(this.el,...e),this.ui_event_bus=new v.UIEventBus(this)}async lazy_initialize(){if(await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await f(),c.settings.force_webgl&&null==this.webgl))throw new Error(\"webgl is not available\")}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new g.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,l,r,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(l+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*r,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(_.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.OutputBackend,\"canvas\"]})))},\n", - " function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n", 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i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[e])/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n", - " function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n", - " function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n", - " function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n", - " function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),_=s(20),c=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null!=i&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[_.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n", - " function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n", - " function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n", - " function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n", - " function _(t,e,s,i,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.XCoordinateSpec,{field:\"right\"}]})))},\n", - " function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n", - " function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n", - " function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n", - " function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n", - " function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n", - " function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n", - " function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n", - " function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n", - " function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n", - " function _(t,e,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.YCoordinateSpec,{field:\"top\"}]})))},\n", - " function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n", - " function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n", - " function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(429))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n", - " function _(e,t,r,a,s){a();const i=e(1);var n;const l=e(292),_=e(293),c=(0,i.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null!=t&&t.regl_wrapper.has_webgl){const{MultiMarkerGL:r}=await Promise.resolve().then((()=>(0,i.__importStar)(e(428))));this.glglyph=new r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n", - " function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n", - " function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n", - " function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n", - " function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n", - " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n", - " function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n", - " function _(t,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let e=0;e({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n", - " function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n", - " function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n", - " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n", - " function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n", - " function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n", - " function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n", - " function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n", - " function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n", - " function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n", - " function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n", - " function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n", - " function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n", - " function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n", - " function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n", - " function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n", - " function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n", - " function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n", - " function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n", - " function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n", - " function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n", - " function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n", - " function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n", - " function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n", - " function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n", - " function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n", - " function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n", - " function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n", - " function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n", - " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n", - " function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"weekly\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n", - " function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n", - " function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n", - " function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n", - " function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}null!=this.compute_initial()&&(this.invalidate_dataranges=!1)}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&ro.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n", - " function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", - " function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n", - " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n", - " function _(e,r,i,n,t){var o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,l.build_view)(r,{parent:e}),this.node_view=await(0,l.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y}}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof d.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly]})))},\n", - " function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n", - " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n", - " function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n", - " function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n", - " function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n", - " function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n", - " function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n", - " function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n", - " function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n", - " function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n", - " function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n", - " function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n", - " function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n", - " function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n", - " function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n", - " function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n", - " function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n", - " function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n", - " function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n", - " function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n", - " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n", - " function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n", - " function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n", - " function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n", - " function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n", - " function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n", - " function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n", - " function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n", - " function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n", - " function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n", - " function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n", - " function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n", - " function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n", - " function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n", - " function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n", - " function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n", - " function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n", - " function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n", - " function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n", - " function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n", - " function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n", - " function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n", - " function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n", - " function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n", - " function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n", - " function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n", - " function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n", - " function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n", - " function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n", - " function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n", - " function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n", - " function _(e,t,n,s,i){s();const o=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=x.dist_2_pts(r,e),c=x.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,C.isString)(n)||(0,C.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,A.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\n", - " function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n", - " function _(l,n,u,_,e){var t;_();const o=l(53);class r extends o.Model{constructor(l){super(l)}}u.Styles=r,t=r,r.__name__=\"Styles\",r.__module__=\"bokeh.models.css\",t.define((({String:l,Nullable:n})=>({align_content:[n(l),null],align_items:[n(l),null],align_self:[n(l),null],alignment_baseline:[n(l),null],all:[n(l),null],animation:[n(l),null],animation_delay:[n(l),null],animation_direction:[n(l),null],animation_duration:[n(l),null],animation_fill_mode:[n(l),null],animation_iteration_count:[n(l),null],animation_name:[n(l),null],animation_play_state:[n(l),null],animation_timing_function:[n(l),null],backface_visibility:[n(l),null],background:[n(l),null],background_attachment:[n(l),null],background_clip:[n(l),null],background_color:[n(l),null],background_image:[n(l),null],background_origin:[n(l),null],background_position:[n(l),null],background_position_x:[n(l),null],background_position_y:[n(l),null],background_repeat:[n(l),null],background_size:[n(l),null],baseline_shift:[n(l),null],block_size:[n(l),null],border:[n(l),null],border_block_end:[n(l),null],border_block_end_color:[n(l),null],border_block_end_style:[n(l),null],border_block_end_width:[n(l),null],border_block_start:[n(l),null],border_block_start_color:[n(l),null],border_block_start_style:[n(l),null],border_block_start_width:[n(l),null],border_bottom:[n(l),null],border_bottom_color:[n(l),null],border_bottom_left_radius:[n(l),null],border_bottom_right_radius:[n(l),null],border_bottom_style:[n(l),null],border_bottom_width:[n(l),null],border_collapse:[n(l),null],border_color:[n(l),null],border_image:[n(l),null],border_image_outset:[n(l),null],border_image_repeat:[n(l),null],border_image_slice:[n(l),null],border_image_source:[n(l),null],border_image_width:[n(l),null],border_inline_end:[n(l),null],border_inline_end_color:[n(l),null],border_inline_end_style:[n(l),null],border_inline_end_width:[n(l),null],border_inline_start:[n(l),null],border_inline_start_color:[n(l),null],border_inline_start_style:[n(l),null],border_inline_start_width:[n(l),null],border_left:[n(l),null],border_left_color:[n(l),null],border_left_style:[n(l),null],border_left_width:[n(l),null],border_radius:[n(l),null],border_right:[n(l),null],border_right_color:[n(l),null],border_right_style:[n(l),null],border_right_width:[n(l),null],border_spacing:[n(l),null],border_style:[n(l),null],border_top:[n(l),null],border_top_color:[n(l),null],border_top_left_radius:[n(l),null],border_top_right_radius:[n(l),null],border_top_style:[n(l),null],border_top_width:[n(l),null],border_width:[n(l),null],bottom:[n(l),null],box_shadow:[n(l),null],box_sizing:[n(l),null],break_after:[n(l),null],break_before:[n(l),null],break_inside:[n(l),null],caption_side:[n(l),null],caret_color:[n(l),null],clear:[n(l),null],clip:[n(l),null],clip_path:[n(l),null],clip_rule:[n(l),null],color:[n(l),null],color_interpolation:[n(l),null],color_interpolation_filters:[n(l),null],column_count:[n(l),null],column_fill:[n(l),null],column_gap:[n(l),null],column_rule:[n(l),null],column_rule_color:[n(l),null],column_rule_style:[n(l),null],column_rule_width:[n(l),null],column_span:[n(l),null],column_width:[n(l),null],columns:[n(l),null],content:[n(l),null],counter_increment:[n(l),null],counter_reset:[n(l),null],css_float:[n(l),null],css_text:[n(l),null],cursor:[n(l),null],direction:[n(l),null],display:[n(l),null],dominant_baseline:[n(l),null],empty_cells:[n(l),null],fill:[n(l),null],fill_opacity:[n(l),null],fill_rule:[n(l),null],filter:[n(l),null],flex:[n(l),null],flex_basis:[n(l),null],flex_direction:[n(l),null],flex_flow:[n(l),null],flex_grow:[n(l),null],flex_shrink:[n(l),null],flex_wrap:[n(l),null],float:[n(l),null],flood_color:[n(l),null],flood_opacity:[n(l),null],font:[n(l),null],font_family:[n(l),null],font_feature_settings:[n(l),null],font_kerning:[n(l),null],font_size:[n(l),null],font_size_adjust:[n(l),null],font_stretch:[n(l),null],font_style:[n(l),null],font_synthesis:[n(l),null],font_variant:[n(l),null],font_variant_caps:[n(l),null],font_variant_east_asian:[n(l),null],font_variant_ligatures:[n(l),null],font_variant_numeric:[n(l),null],font_variant_position:[n(l),null],font_weight:[n(l),null],gap:[n(l),null],glyph_orientation_vertical:[n(l),null],grid:[n(l),null],grid_area:[n(l),null],grid_auto_columns:[n(l),null],grid_auto_flow:[n(l),null],grid_auto_rows:[n(l),null],grid_column:[n(l),null],grid_column_end:[n(l),null],grid_column_gap:[n(l),null],grid_column_start:[n(l),null],grid_gap:[n(l),null],grid_row:[n(l),null],grid_row_end:[n(l),null],grid_row_gap:[n(l),null],grid_row_start:[n(l),null],grid_template:[n(l),null],grid_template_areas:[n(l),null],grid_template_columns:[n(l),null],grid_template_rows:[n(l),null],height:[n(l),null],hyphens:[n(l),null],image_orientation:[n(l),null],image_rendering:[n(l),null],inline_size:[n(l),null],justify_content:[n(l),null],justify_items:[n(l),null],justify_self:[n(l),null],left:[n(l),null],letter_spacing:[n(l),null],lighting_color:[n(l),null],line_break:[n(l),null],line_height:[n(l),null],list_style:[n(l),null],list_style_image:[n(l),null],list_style_positio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- " function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n", - " function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n", - " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", - " function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", - " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", - " function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n", - " function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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_.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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a=this._map.get(e);if(null==a){const s=(0,n.gcd)(t);if(s>1){t=(0,o.map)(t,(t=>t/s)),a=this._get_or_create(t);const[r,n,_]=a;a=[r,n,s],this._map.set(e,a)}else{const[r,n]=this._create_texture(t);a=[r,n,s],this._map.set(e,a)}}return a}get(t){return t.length%2==1&&(t=(0,_.concat)([t,t])),this._get_or_create(t)}}a.DashCache=c,c.__name__=\"DashCache\"},\n", - " 414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e= 0.0 ? 1.0 : -1.0;\\n}\\n\\nvoid main()\\n{\\n if (a_show_curr < 0.5) {\\n // Line segment has non-finite value at one or both ends, do not render.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n const float min_miter_factor_round_join_mesh = sqrt(2.0);\\n\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n v_segment_length = length(a_point_end - a_point_start);\\n vec2 segment_right = right_vector(segment_along); // unit vector.\\n vec2 xy;\\n\\n bool miter_too_large_start = false;\\n bool miter_too_large_end = false;\\n\\n v_coords.y = a_position.y*halfwidth; // Overwritten later for end points.\\n\\n bool has_start_cap = a_show_prev < 0.5;\\n bool has_end_cap = a_show_next < 0.5;\\n\\n vec2 point_normal_start;\\n float cos_theta_start;\\n float turn_right_start;\\n if (has_start_cap)\\n point_normal_start = segment_right;\\n else {\\n vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n point_normal_start = normalize(segment_right + prev_right);\\n cos_theta_start = dot(segment_right, point_normal_start); // Always +ve\\n turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n }\\n\\n vec2 point_normal_end;\\n float cos_theta_end;\\n float turn_right_end;\\n if (has_end_cap)\\n point_normal_end = segment_right;\\n else {\\n vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n point_normal_end = normalize(segment_right + next_right);\\n cos_theta_end = dot(segment_right, point_normal_end); // Always +ve\\n turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n }\\n\\n float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n if (join_type == miter_join) {\\n // If miter too large, use bevel join instead.\\n miter_too_large_start = (miter_factor_start > u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n", - " 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n // Return clipped dash distance, sign_along is +1.0 if looking forward\\n // into next segment and -1.0 if looking backward into previous segment.\\n float half_antialias = 0.5*u_antialias;\\n\\n if (sign_along*x > half_antialias) {\\n // Outside antialias region, use usual dash distance.\\n return dash_distance(offset + x);\\n }\\n else {\\n // Inside antialias region.\\n // Dash distance at edge of antialias region clipped to half_antialias.\\n float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n // Physical distance from dash distance at edge of antialias region.\\n return edge_dist + sign_along*x - half_antialias;\\n }\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n float half_antialias = 0.5*u_antialias;\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n // Along-segment coords with respect to end of segment, +ve inside segment\\n // so equivalent to v_coords.x at start of segment.\\n float end_coords_x = v_segment_length - v_coords.x;\\n\\n if (v_coords.x <= half_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (end_coords_x <= half_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, end_coords_x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < half_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n if (dash_distance(0.0) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -v_coords.x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (v_coords.x > -half_antialias) {\\n // Consider antialias region of dash after start region.\\n float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n // Extend dashes across from end of previous segment, with antialiased end.\\n float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (end_coords_x < half_antialias) {\\n // Similar for end join.\\n if (dash_distance(v_segment_length) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -end_coords_x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (end_coords_x > -half_antialias) {\\n // Consider antialias region of dash before end region.\\n float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n half_antialias);\\n dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n", - " 417: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_cap;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\nuniform float u_size_hint;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_cap = a_line_cap;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size;\\n // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n // edge of bounding box. If symmetric spike towards edge then multiply by\\n // 1/cos(theta) where theta is angle between spike and bbox edges.\\n int size_hint = int(u_size_hint + 0.5);\\n if (size_hint == 1) // Dash\\n enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n v_linewidth + u_antialias);\\n else if (size_hint == 2) // Dot\\n enclosing_size = 0.25*v_size + u_antialias;\\n else if (size_hint == 3) // Diamond\\n enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n v_size.y + (v_linewidth + u_antialias)*1.80278);\\n else if (size_hint == 4) // Hex\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n else if (size_hint == 5) // Square pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n else if (size_hint == 6) // Triangle\\n enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n else if (size_hint == 7) // Triangle pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n else if (size_hint == 8) // Star\\n enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n v_size.y + (v_linewidth + u_antialias)*3.2);\\n else\\n enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", - " 418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) || defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) || defined(USE_TRIANGLE_DOT)\\n #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) || defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n // No fill.\\n #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) || defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n vec2 offset = p - end_point;\\n if (line_cap == butt_cap)\\n return dot(offset, unit_direction) + 0.5*v_linewidth;\\n else if (line_cap == square_cap)\\n return dot(offset, unit_direction);\\n else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n return length(offset);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments. The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point. Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point. In general\\n// offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n // as they are composed of straight line segments.\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n vec2 miter_unit_normal)\\n{\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == miter_join && dist_outside > 0.0)\\n return dot((p - corner), miter_unit_normal);\\n else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n // Cross with different length in x and y directions.\\n p = abs(p);\\n bool switch_xy = (p.y > p.x);\\n p = switch_xy ? p.yx : p.xy;\\n float len = switch_xy ? lengths.y : lengths.x;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n p = vec2(abs(p.x), -p.y);\\n\\n // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n const float k = 6.0/sqrt(13.0);\\n vec2 unit_along = vec2(0.5*k, k/3.0);\\n vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n if (p.y < 0.0) {\\n // Vertical line.\\n float vert_dist = max(p.x,\\n end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n dist = min(dist, vert_dist);\\n }\\n return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n float len = 0.5*v_size.x;\\n return min(one_cross(p, line_cap, len), // cross\\n one_cross(p_diag, line_cap, len)); // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) || defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n p = abs(p);\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n // where r = radius = v_size.x/2.\\n // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n p = abs(p);\\n float r = 0.5*v_size.x;\\n const float SQRT13 = sqrt(13.0);\\n float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Dot is always appended.\\n return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n // Sloping line has outward normal vec2(h, rx/2). Length of this is\\n // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n // from origin of this line is rx*h/len.\\n p = abs(p);\\n float rx = v_size.x/2.0;\\n float h = v_size.y*(SQRT3/4.0);\\n float len_normal = sqrt(h*h + 0.25*rx*rx);\\n vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n float dist = max(dot(p, unit_normal) - rx*h/len_normal, // Distance from sloping line.\\n p.y - h); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n unit_normal = normalize(unit_normal + vec2(0.0, 1.0)); // At (rx/2, h) corner.\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n }\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider one octant, the +ve quadrant with x >= y.\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n\\n // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n float r = 0.5*v_size.x;\\n p = p - vec2(r, 0.375*r); // Distance with respect to outside corner\\n float dist = max(p.x, p.y);\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n // Inside corner\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) || defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n vec2 p2 = abs(p) - v_size/2.0; // Offset from corner\\n float dist = max(p2.x, p2.y);\\n\\n if (line_join != miter_join)\\n dist = max(dist, line_join_distance_no_miter(\\n p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n // p is in octant between y=0 and y=x.\\n // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n // Circular arc that passes through the same points has center at\\n // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n // x - 11r/16 = 1.75626 precisely.\\n float r = 0.5*v_size.x;\\n float center_x = r*2.44375;\\n float radius = r*1.75626;\\n float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n const float SQRT5 = sqrt(5.0);\\n const float COS72 = 0.25*(SQRT5 - 1.0);\\n const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n float angle = atan(p.x, p.y); // In range -pi to +pi clockwise from +y direction.\\n angle = mod(angle, 0.4*PI) - 0.2*PI; // In range -pi/5 to +pi/5 clockwise from +y direction.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in pi/10 (36 degree) sector.\\n\\n // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n float r = 0.5*v_size.x;\\n float a = r*sqrt(5.0 - 2.0*SQRT5);\\n float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n // Inside corner\\n const float COS36 = sqrt(0.5 + COS72/2.0);\\n const float SIN36 = sqrt(0.5 - COS72/2.0);\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n // and distance from origin of a. Horizontal line has outward-facing unit normal\\n // vec2(0, 1) and distance from origin of a.\\n float r = 0.5*v_size.x;\\n float a = r*SQRT3/3.0;\\n\\n // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n p = vec2(abs(p.x), -p.y);\\n#else\\n p = vec2(abs(p.x), p.y);\\n#endif\\n\\n float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a, // Distance from sloping line.\\n p.y - a); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n float angle = atan(p.x, -p.y); // In range -pi to +pi.\\n angle = mod(angle, PI*2.0/3.0) - PI/3.0; // In range -pi/3 to pi/3.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in range 0 to pi/3.\\n // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n // a = r/SQRT3, b = 3a/8 = r SQRT3/8. Circular arc that passes through the same points has\\n // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n // Ignore r factor until the end so can use const.\\n const float a = 1.0/SQRT3;\\n const float b = SQRT3/8.0;\\n const float c = (a-b)/2.0;\\n const float x = (1.0 - c*c) / (2.0*c);\\n const float center_x = x + a;\\n const float radius = x + c;\\n float r = 0.5*v_size.x;\\n float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(in float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(in float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(in vec4 color, in float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(in vec4 src, in vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n // Assuming v_size.x == v_size.y\\n float radius = 0.125*v_size.x;\\n float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n return fill_fraction(dot_distance);\\n}\\n#endif\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(in float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(in vec2 coords, in int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_cap = int(v_line_cap + 0.5);\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n\\n#ifdef APPEND_DOT\\n line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n", - " 419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n", - " 420: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n", - " 421: function _(r,t,a,e,s){e();const i=r(422),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const t=this._points.get_sized_array(2*(s+2));for(let i=1;is/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=r,r.__name__=\"LineGL\"},\n", - " 427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n", - " 442: function _(t,e,o,s,n){s();const i=t(512),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n", - " 512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n", - " 444: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n", - " 445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n", - " 446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n", - " 447: function _(e,t,n,i,l){var s;i();const h=e(448);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n", - " 448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n", - " 449: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n", - " 450: function _(t,e,n,o,c){var s;o();const u=t(441),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n", - " 451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n", - " 452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n", - " 453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n", - " 454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n", - " 455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n", - " 456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n", - " 457: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(458)),d=e(448),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(449)),_=(0,a.__importDefault)(e(459));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n", - " 458: function _(e,n,t,a,i){\n", - " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation.\n", - " \n", - " Permission to use, copy, modify, and/or distribute this software for any\n", - " purpose with or without fee is hereby granted.\n", - " \n", - " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", - " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", - " AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n", - " INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n", - " LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n", - " OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n", - " PERFORMANCE OF THIS SOFTWARE.\n", - " ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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i.setDate(i.getDate()-i.getDay()+t.firstDayOfWeek),i},Y:function(e,n){e.setFullYear(parseFloat(n))},Z:function(e,n){return new Date(n)},d:function(e,n){e.setDate(parseFloat(n))},h:function(e,n){e.setHours(parseFloat(n))},i:function(e,n){e.setMinutes(parseFloat(n))},j:function(e,n){e.setDate(parseFloat(n))},l:p,m:function(e,n){e.setMonth(parseFloat(n)-1)},n:function(e,n){e.setMonth(parseFloat(n)-1)},s:function(e,n){e.setSeconds(parseFloat(n))},u:function(e,n){return new Date(parseFloat(n))},w:p,y:function(e,n){e.setFullYear(2e3+parseFloat(n))}},D={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},w={Z:function(e){return e.toISOString()},D:function(e,n,t){return n.weekdays.shorthand[w.w(e,n,t)]},F:function(e,n,t){return h(w.n(e,n,t)-1,!1,n)},G:function(e,n,t){return o(w.h(e,n,t))},H:function(e){return o(e.getHours())},J:function(e,n){return void 0!==n.ordinal?e.getDate()+n.ordinal(e.getDate()):e.getDate()},K:function(e,n){return n.amPM[r(e.getHours()>11)]},M:function(e,n){return h(e.getMonth(),!0,n)},S:function(e){return 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return 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d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n", - " 467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n", - " 468: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(512),_=(0,a.__importStar)(t(469));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const 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r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n", - " 479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n", - " 480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n", - " 481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n", - " 482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n", - " 483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n", - " 484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n", - " 485: function _(e,t,i,n,s){var l;n();const o=e(478),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n", - " 486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n", - " 487: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(441),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n", - " }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.4.3\");\n", - " })(this, function(Bokeh, version) {\n", - " let define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n", - " 489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", - " 490: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(491),v=(0,r.__importStar)(e(492));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends 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w.globalEval(e),e}}}),w.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),w.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=w(\"" ] }, - "metadata": {}, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "3784fdc9-73a4-4ff2-b761-3ac2a3e2fe5d" + } + }, "output_type": "display_data" } ], @@ -2035,7 +707,6 @@ "# For reading data, analysis and plotting\n", "import xarray as xr\n", "import hvplot.xarray\n", - "\n", "import pprint" ] }, @@ -2062,18 +733,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EARTHDATA_USERNAME and EARTHDATA_PASSWORD are not set in the current environment, try setting them or use a different strategy (netrc, interactive)\n", - "You're now authenticated with NASA Earthdata Login\n", - "Using token with expiration date: 09/29/2023\n", - "Using .netrc file for EDL\n" - ] - } - ], + "outputs": [], "source": [ "auth = earthaccess.login()" ] @@ -2099,15 +759,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Datasets found: 65\n" - ] - } - ], + "outputs": [], "source": [ "Query = earthaccess.search_datasets(keyword = 'ICESat-2')" ] @@ -2117,7 +769,7 @@ "id": "d3957627", "metadata": {}, "source": [ - "In this case there are 65 collections that have the keyword ICESat-2. \n", + "Several dozen collections with the keyword ICESat-2 are returned in the Query object.\n", "\n", "The `search_datasets` method returns a python list of `DataCollection` objects. We can view the metadata for each collection in long form by passing a `DataCollection` object to print or as a summary using the `summary` method. We can also use the `pprint` function to Pretty Print each object.\n", "\n", @@ -2136,114 +788,118 @@ "name": "stdout", "output_type": "stream", "text": [ - "{ 'concept-id': 'C2120512202-NSIDC_ECS',\n", + "{ 'concept-id': 'C2559919423-NSIDC_ECS',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.005/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL03+V005',\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", " 'http://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL03/versions/5/'],\n", + " 'https://nsidc.org/data/data-access-tool/ATL03/versions/6/'],\n", " 'short-name': 'ATL03',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL03/005',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL03/005'],\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL03/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL03/006'],\n", " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2153572325-NSIDC_CPRD',\n", + " 'concept-id': 'C2596864127-NSIDC_CPRD',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': ['https://search.earthdata.nasa.gov/search?q=ATL03+V005'],\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL03+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2596864127-NSIDC_CPRD'],\n", " 'short-name': 'ATL03',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", - "{ 'concept-id': 'C2144424132-NSIDC_ECS',\n", + "{ 'concept-id': 'C2565090645-NSIDC_ECS',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL08.005/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL08+V005',\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL08.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", " 'https://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL08/versions/5/'],\n", + " 'https://nsidc.org/data/data-access-tool/ATL08/versions/6/'],\n", " 'short-name': 'ATL08',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL08/005',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL08/005'],\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL08/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL08/006'],\n", " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2153574670-NSIDC_CPRD',\n", + " 'concept-id': 'C2613553260-NSIDC_CPRD',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': ['https://search.earthdata.nasa.gov/search?q=ATL08+V005'],\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2613553260-NSIDC_CPRD'],\n", " 'short-name': 'ATL08',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", - "{ 'concept-id': 'C2144439155-NSIDC_ECS',\n", + "{ 'concept-id': 'C2564427300-NSIDC_ECS',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL06.005/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL06+V005',\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL06.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL06+V006',\n", " 'https://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL06/versions/5/'],\n", + " 'https://nsidc.org/data/data-access-tool/ATL06/versions/6/'],\n", " 'short-name': 'ATL06',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL06/005',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL06/005'],\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL06/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL06/006'],\n", " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2153572614-NSIDC_CPRD',\n", + " 'concept-id': 'C2670138092-NSIDC_CPRD',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': ['https://search.earthdata.nasa.gov/search?q=ATL06+V005'],\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL06+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2670138092-NSIDC_CPRD'],\n", " 'short-name': 'ATL06',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", - "{ 'concept-id': 'C2565090645-NSIDC_ECS',\n", + "{ 'concept-id': 'C2607017115-NSIDC_ECS',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL08.006/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL08+V006',\n", - " 'https://openaltimetry.org/',\n", - " 'https://nsidc.org/data/data-access-tool/ATL08/versions/6/'],\n", - " 'short-name': 'ATL08',\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL09.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL09+V006',\n", + " 'https://nsidc.org/data/data-access-tool/ATL09/versions/6'],\n", + " 'short-name': 'ATL09',\n", " 'version': '006'}\n", "\n", "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL08/006',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL08/006'],\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL09/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL09/006'],\n", " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2613553260-NSIDC_CPRD',\n", + " 'concept-id': 'C2649212495-NSIDC_CPRD',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': ['https://search.earthdata.nasa.gov/search?q=ATL08+V006'],\n", - " 'short-name': 'ATL08',\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL09+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2649212495-NSIDC_CPRD'],\n", + " 'short-name': 'ATL09',\n", " 'version': '006'}\n", "\n", - "{ 'cloud-info': { 'Region': 'us-west-2',\n", - " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL13/005',\n", - " 'nsidc-cumulus-prod-public/ATLAS/ATL13/005'],\n", - " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", - " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", - " 'concept-id': 'C2153575088-NSIDC_CPRD',\n", + "{ 'concept-id': 'C2650116584-NSIDC_ECS',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': ['https://search.earthdata.nasa.gov/search?q=ATL13+V005'],\n", + " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL13.006/',\n", + " 'https://search.earthdata.nasa.gov/search?q=ATL13+V006',\n", + " 'https://nsidc.org/data/data-access-tool/ATL13/versions/6/'],\n", " 'short-name': 'ATL13',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n", - "{ 'concept-id': 'C2179092356-NSIDC_ECS',\n", + "{ 'cloud-info': { 'Region': 'us-west-2',\n", + " 'S3BucketAndObjectPrefixNames': [ 'nsidc-cumulus-prod-protected/ATLAS/ATL13/006',\n", + " 'nsidc-cumulus-prod-public/ATLAS/ATL13/006'],\n", + " 'S3CredentialsAPIDocumentationURL': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentialsREADME',\n", + " 'S3CredentialsAPIEndpoint': 'https://data.nsidc.earthdatacloud.nasa.gov/s3credentials'},\n", + " 'concept-id': 'C2684928243-NSIDC_CPRD',\n", " 'file-type': \"[{'FormatType': 'Native', 'Format': 'HDF5', \"\n", " \"'FormatDescription': 'HTTPS'}]\",\n", - " 'get-data': [ 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL13.005/',\n", - " 'https://search.earthdata.nasa.gov/search?q=ATL13+V005',\n", - " 'https://nsidc.org/data/data-access-tool/ATL13/versions/5/'],\n", + " 'get-data': [ 'https://search.earthdata.nasa.gov/search?q=ATL13+V006',\n", + " 'https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2684928243-NSIDC_CPRD'],\n", " 'short-name': 'ATL13',\n", - " 'version': '005'}\n", + " 'version': '006'}\n", "\n" ] } @@ -2301,15 +957,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Datasets found: 27\n" - ] - } - ], + "outputs": [], "source": [ "Query = earthaccess.search_datasets(\n", " keyword = 'ICESat-2',\n", @@ -2338,15 +986,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Granules found: 4\n" - ] - } - ], + "outputs": [], "source": [ "results = earthaccess.search_data(\n", " short_name = 'ATL06',\n", @@ -2381,7 +1021,7 @@ "data": { "text/html": [ "\n", - "
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+       "    short_name:                         ATL06\n",
+       "    level:                              L3A\n",
+       "    title:                              ATLAS/ICESat-2 L3A Land Ice Height\n",
+       "    description:                        This data set (ATL06) provides geoloc...\n",
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+       "    contributor_name:                   Thomas A Neumann (thomas.neumann@nasa...\n",
+       "    ...                                 ...\n",
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+       "    source:                             Spacecraft
" + ], + "text/plain": [ + "\n", + "Group: /\n", + "│ Attributes: (12/48)\n", + "│ short_name: ATL06\n", + "│ level: L3A\n", + "│ title: ATLAS/ICESat-2 L3A Land Ice Height\n", + "│ description: This data set (ATL06) provides geoloc...\n", + "│ Conventions: CF-1.6\n", + "│ contributor_name: Thomas A Neumann (thomas.neumann@nasa...\n", + "│ ... ...\n", + "│ processing_level: 3A\n", + "│ references: http://nsidc.org/data/icesat2/data.html\n", + "│ project: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ instrument: ATLAS > Advanced Topographic Laser Al...\n", + "│ platform: ICESat-2 > Ice, Cloud, and land Eleva...\n", + "│ source: Spacecraft\n", + "├── Group: /ancillary_data\n", + "│ │ Dimensions: (phony_dim_0: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_0\n", + "│ │ Data variables: (12/25)\n", + "│ │ atlas_sdp_gps_epoch (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ control (phony_dim_0) |S100000 100kB ...\n", + "│ │ data_end_utc (phony_dim_0) |S27 27B ...\n", + "│ │ data_start_utc (phony_dim_0) |S27 27B ...\n", + "│ │ end_cycle (phony_dim_0) int32 4B ...\n", + "│ │ end_delta_time (phony_dim_0) datetime64[ns] 8B ...\n", + "│ │ ... ...\n", + "│ │ start_gpssow (phony_dim_0) timedelta64[ns] 8B ...\n", + "│ │ start_gpsweek (phony_dim_0) int32 4B ...\n", + "│ │ start_orbit (phony_dim_0) int32 4B ...\n", + "│ │ start_region (phony_dim_0) int32 4B ...\n", + "│ │ start_rgt (phony_dim_0) int32 4B ...\n", + "│ │ version (phony_dim_0) |S80 80B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains information ancillary to the data product. This ma...\n", + "│ │ data_rate: Data within this group pertain to the granule in its entirety.\n", + "│ └── Group: /ancillary_data/land_ice\n", + "│ Dimensions: (phony_dim_1: 1, phony_dim_2: 6)\n", + "│ Dimensions without coordinates: phony_dim_1, phony_dim_2\n", + "│ Data variables: (12/24)\n", + "│ dt_hist (phony_dim_1) timedelta64[ns] 8B ...\n", + "│ fit_maxiter (phony_dim_1) int32 4B ...\n", + "│ fpb_maxiter (phony_dim_1) int32 4B ...\n", + "│ max_res_ids (phony_dim_1) int32 4B ...\n", + "│ min_dist (phony_dim_1) float32 4B ...\n", + "│ min_gain_th (phony_dim_1) float32 4B ...\n", + "│ ... ...\n", + "│ qs_lim_sss (phony_dim_1) int32 4B ...\n", + "│ rbin_width (phony_dim_1) float32 4B ...\n", + "│ sigma_beam (phony_dim_1) float32 4B ...\n", + "│ sigma_tx (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ t_dead (phony_dim_2) timedelta64[ns] 48B ...\n", + "│ txp_maxiter (phony_dim_1) int32 4B ...\n", + "│ Attributes:\n", + "│ Description: Contains land-ice-specific information ancillary to the da...\n", + "├── Group: /orbit_info\n", + "│ Dimensions: (phony_dim_5: 11, crossing_time: 1, sc_orient_time: 1)\n", + "│ Coordinates:\n", + "│ * crossing_time (crossing_time) datetime64[ns] 8B 2020-03-12T23:26...\n", + "│ * sc_orient_time (sc_orient_time) datetime64[ns] 8B 2020-03-11T23:3...\n", + "│ Dimensions without coordinates: phony_dim_5\n", + "│ Data variables:\n", + "│ bounding_polygon_lat1 (phony_dim_5) float64 88B ...\n", + "│ bounding_polygon_lon1 (phony_dim_5) float64 88B ...\n", + "│ cycle_number (crossing_time) int8 1B ...\n", + "│ lan (crossing_time) float64 8B ...\n", + "│ orbit_number (crossing_time) uint16 2B ...\n", + "│ rgt (crossing_time) int16 2B ...\n", + "│ sc_orient (sc_orient_time) int8 1B ...\n", + "│ Attributes:\n", + "│ Description: Contains data that are common among all beams for the granu...\n", + "│ data_rate: These parameters are constant for a given granule.\n", + "├── Group: /quality_assessment\n", + "│ │ Dimensions: (phony_dim_6: 1)\n", + "│ │ Dimensions without coordinates: phony_dim_6\n", + "│ │ Data variables:\n", + "│ │ qa_granule_fail_reason (phony_dim_6) int32 4B ...\n", + "│ │ qa_granule_pass_fail (phony_dim_6) int32 4B ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1l\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt1r\n", + "│ │ Dimensions: (delta_time: 2806)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020...\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 11kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 11kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2l\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt2r\n", + "│ │ Dimensions: (delta_time: 3179)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 25kB 2020...\n", + "│ │ lat_mean (delta_time) float64 25kB ...\n", + "│ │ lon_mean (delta_time) float64 25kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ ├── Group: /quality_assessment/gt3l\n", + "│ │ Dimensions: (delta_time: 3331)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ │ lat_mean (delta_time) float64 27kB ...\n", + "│ │ lon_mean (delta_time) float64 27kB ...\n", + "│ │ Data variables:\n", + "│ │ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ │ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: Contains quality assessment data. This may include QA count...\n", + "│ └── Group: /quality_assessment/gt3r\n", + "│ Dimensions: (delta_time: 3331)\n", + "│ Coordinates:\n", + "│ * delta_time (delta_time) datetime64[ns] 27kB 2020...\n", + "│ lat_mean (delta_time) float64 27kB ...\n", + "│ lon_mean (delta_time) float64 27kB ...\n", + "│ Data variables:\n", + "│ signal_selection_source_fraction_0 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_1 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_2 (delta_time) float32 13kB ...\n", + "│ signal_selection_source_fraction_3 (delta_time) float32 13kB ...\n", + "│ Attributes:\n", + "│ Description: Contains quality assessment data. This may include QA count...\n", + "├── Group: /METADATA\n", + "│ │ Attributes:\n", + "│ │ Description: ISO19115 Structured Metadata Represented within HDF5\n", + "│ │ iso_19139_dataset_xml: \\n\\n ICESat-2 Science Investigator-...\n", + "│ │ abstract: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ purpose: ATL06 provides estimates of the ice-sheet me...\n", + "│ │ credit: The software that generates the ATL06 produc...\n", + "│ │ status: onGoing\n", + "│ │ topicCategory: geoscientificInformation\n", + "│ ├── Group: /METADATA/Extent\n", + "│ │ Attributes:\n", + "│ │ northBoundLatitude: 59.505969426283016\n", + "│ │ eastBoundLongitude: -133.41952635398133\n", + "│ │ southBoundLatitude: 53.738297674819215\n", + "│ │ westBoundLongitude: -134.57344124844843\n", + "│ │ rangeBeginningDateTime: 2020-03-12T23:40:36.093343Z\n", + "│ │ rangeEndingDateTime: 2020-03-12T23:42:07.293395Z\n", + "│ ├── Group: /METADATA/Lineage\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-01\n", + "│ │ │ Attributes:\n", + "│ │ │ description: MERIT 3 arcsec Digital Elevation Model reformatted into HDF...\n", + "│ │ │ fileName: merit_3as_20200617_001_01.h5\n", + "│ │ │ shortName: ANC06-01\n", + "│ │ │ uuid: 3db8ab65-d2ac-37c7-86db-17c762268673\n", + "│ │ │ version: 20200617\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-02\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ArcticDEM 32m Digital Elevation Model reformatted into HDF5.\n", + "│ │ │ fileName: arcticdem32m_20190611_001_01.h5\n", + "│ │ │ shortName: ANC06-02\n", + "│ │ │ uuid: ce07ef72-0bf4-353b-8475-fb568b029905\n", + "│ │ │ version: 20190611\n", + "│ │ ├── Group: /METADATA/Lineage/ANC06-03\n", + "│ │ │ Attributes:\n", + "│ │ │ description: REMA Antarctica 100m Digital Elevation Model filled and ref...\n", + "│ │ │ fileName: atl06rema100m_20190628_001_01.h5\n", + "│ │ │ shortName: ANC06-03\n", + "│ │ │ uuid: 3e0a81bd-bbd5-35fa-b868-3254f9355b7f\n", + "│ │ │ version: 20190628\n", + "│ │ ├── Group: /METADATA/Lineage/ANC17\n", + "│ │ │ Attributes:\n", + "│ │ │ description: Land Ice Height SNR Significance Table\n", + "│ │ │ fileName: anc17_snr_f_20170718_001_01.h5\n", + "│ │ │ shortName: ANC17\n", + "│ │ │ uuid: 52fe4165-bac0-3dc9-a9b3-921a591a7dc5\n", + "│ │ │ version: 20170718\n", + "│ │ ├── Group: /METADATA/Lineage/ANC19\n", + "│ │ │ Attributes:\n", + "│ │ │ description: TAI to UTC leapsecond file retrieved from ftp://maia.usno.n...\n", + "│ │ │ fileName: tai_utc_2017.dat\n", + "│ │ │ shortName: ANC19\n", + "│ │ │ uuid: 7c66d365-278a-31f7-8fe4-9c80e2f012e5\n", + "│ │ │ version: 001\n", + "│ │ ├── Group: /METADATA/Lineage/ANC25-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC25-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC25-06\n", + "│ │ │ uuid: 9db0c967-58c7-3790-9da3-330c676dd945\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC26-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: HDF5 template file that defines the organization and defaul...\n", + "│ │ │ fileName: ANC26-06_20221024172446_050_01.h5\n", + "│ │ │ shortName: ANC26-06\n", + "│ │ │ uuid: 8c74faba-540a-3fbc-99fb-0f4c75cf73e6\n", + "│ │ │ version: 050\n", + "│ │ ├── Group: /METADATA/Lineage/ANC28\n", + "│ │ │ Attributes:\n", + "│ │ │ description: DTU Mean Sea Surface re-referenced to the WGS84 ellipsoid.\n", + "│ │ │ fileName: dtu13_20180705_001_01.nc\n", + "│ │ │ shortName: ANC28\n", + "│ │ │ uuid: 56f47040-a72e-3109-99c2-bc1658e6dda4\n", + "│ │ │ version: 20180705\n", + "│ │ ├── Group: /METADATA/Lineage/ANC36-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing Series-level metadata informa...\n", + "│ │ │ fileName: ANC36-06_20221227213239_006_02.xml\n", + "│ │ │ shortName: ANC36-06\n", + "│ │ │ uuid: 4ba221ce-277c-368a-b763-9fd5d1e89790\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ANC38-06\n", + "│ │ │ Attributes:\n", + "│ │ │ description: ISO 19139 XML file containing DataSet-level metadata inform...\n", + "│ │ │ fileName: ANC38-06_20221227213240_006_03.xml\n", + "│ │ │ shortName: ANC38-06\n", + "│ │ │ uuid: c5ea6ed4-baea-36c2-9391-a62df10035ea\n", + "│ │ │ version: 006\n", + "│ │ ├── Group: /METADATA/Lineage/ATL03\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L2A Global Geolocated Photon data products.\n", + "│ │ │ fileName: ATL03_20200312233336_11800602_006_01.h5\n", + "│ │ │ shortName: ATL03\n", + "│ │ │ uuid: 9fa02c99-3e16-331b-91eb-35e228bae45d\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 2\n", + "│ │ │ end_region: 2\n", + "│ │ │ start_geoseg: 149699\n", + "│ │ │ end_geoseg: 330714\n", + "│ │ ├── Group: /METADATA/Lineage/ATL09\n", + "│ │ │ Attributes: (12/15)\n", + "│ │ │ description: ICESat-2 ATLAS L3A atmosphere data products.\n", + "│ │ │ fileName: ATL09_20200312232634_11800601_006_01.h5\n", + "│ │ │ shortName: ATL09\n", + "│ │ │ uuid: ec7d16ab-aede-3146-8997-ce4dbc35342a\n", + "│ │ │ version: 006\n", + "│ │ │ start_cycle: 6\n", + "│ │ │ ... ...\n", + "│ │ │ start_rgt: 1180\n", + "│ │ │ end_rgt: 1180\n", + "│ │ │ start_region: 1\n", + "│ │ │ end_region: 14\n", + "│ │ │ start_geoseg: 9\n", + "│ │ │ end_geoseg: 2007126\n", + "│ │ └── Group: /METADATA/Lineage/Control\n", + "│ │ Attributes:\n", + "│ │ description: Text-based keyword=value file generated automatically withi...\n", + "│ │ fileName: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ shortName: CNTL\n", + "│ │ version: 1\n", + "│ ├── Group: /METADATA/ProcessStep\n", + "│ │ ├── Group: /METADATA/ProcessStep/Browse\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Browse processing is performed for each granule SIPS...\n", + "│ │ │ identifier: atlas_brw\n", + "│ │ │ softwareVersion: Version 3.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS HDF5 browse files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:04.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/Metadata\n", + "│ │ │ Attributes:\n", + "│ │ │ processDescription: Metadata information is processed by the metadata ut...\n", + "│ │ │ identifier: atlas_meta\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: Creates ATLAS XML metadata files\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:34:12.000000Z\n", + "│ │ ├── Group: /METADATA/ProcessStep/PGE\n", + "│ │ │ Attributes:\n", + "│ │ │ ATBDDate: 12/04/2019\n", + "│ │ │ ATBDTitle: Algorithm Theoretical Basis Document (ATBD) For Land...\n", + "│ │ │ ATBDVersion: N/A\n", + "│ │ │ documentDate: Feb 2020\n", + "│ │ │ documentation: ATLAS Science Algorithm Software Design Description ...\n", + "│ │ │ processDescription: Computes surface heights for each beam, along and ac...\n", + "│ │ │ identifier: atlas_l3a_is\n", + "│ │ │ softwareVersion: Version 5.0\n", + "│ │ │ softwareDate: Sep 21 2022\n", + "│ │ │ softwareTitle: ASAS L3A Icesheet PGE\n", + "│ │ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ │ stepDateTime: 2023-04-30T05:27:14.000000Z\n", + "│ │ └── Group: /METADATA/ProcessStep/QA\n", + "│ │ Attributes:\n", + "│ │ processDescription: QA processing is performed by an external utility on...\n", + "│ │ identifier: atl06_qa_util\n", + "│ │ softwareVersion: Version 5.0\n", + "│ │ softwareDate: Sep 21 2022\n", + "│ │ softwareTitle: ATL06 QA Utility\n", + "│ │ runTimeParameters: CTL_atlas_l3a_is_013019591.ctl\n", + "│ │ stepDateTime: 2023-04-30T05:34:02.000000Z\n", + "│ ├── Group: /METADATA/ProductSpecificationDocument\n", + "│ │ Attributes:\n", + "│ │ ShortName: ATL06_SDP\n", + "│ │ characterSet: utf8\n", + "│ │ edition: v4.3\n", + "│ │ language: eng\n", + "│ │ publicationDate: Feb 2020\n", + "│ │ title: ICESat-2-SIPS-SPEC-4260 - ATLAS Science Algorithm Stand...\n", + "│ ├── Group: /METADATA/QADatasetIdentification\n", + "│ │ Attributes:\n", + "│ │ abstract: An ASCII product that contains statistical information on ...\n", + "│ │ creationDate: 2023-04-30T05:34:02.000000Z\n", + "│ │ fileName: ATL06_20200312233336_11800602_006_01.qa\n", + "│ └── Group: /METADATA/SeriesIdentification\n", + "│ Attributes: (12/19)\n", + "│ maintenanceAndUpdateFrequency: asNeeded\n", + "│ maintenanceDate: SET_BY_META\n", + "│ VersionID: 006\n", + "│ language: eng\n", + "│ characterSet: utf8\n", + "│ pointOfContact: NSIDC DAAC > NASA National Snow and Ic...\n", + "│ ... ...\n", + "│ credit: The software that generates the ATL06 ...\n", + "│ status: onGoing\n", + "│ format: HDF\n", + "│ formatVersion: 5\n", + "│ topicCategory: geoscientificInformation\n", + "│ mission: ICESat-2 > Ice, Cloud, and land Elevat...\n", + "├── Group: /gt1l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt1l\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 6\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2332, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:48.720...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 187kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1l/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt1r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce3\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt1r\n", + "│ │ atmosphere_profile: profile_1\n", + "│ │ atlas_spot_number: 5\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt1r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 196kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 196kB ...\n", + "│ │ │ longitude (delta_time) float64 196kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 24kB ...\n", + "│ │ │ h_li (delta_time) float32 98kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 98kB ...\n", + "│ │ │ segment_id (delta_time) float64 196kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 98kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 98kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 98kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 98kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 24kB ...\n", + "│ │ │ dem_h (delta_time) float32 98kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ geoid_h (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 98kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 98kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 98kB ...\n", + "│ │ │ h_mean (delta_time) float32 98kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 98kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 24kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 24kB ...\n", + "│ │ │ snr (delta_time) float32 98kB ...\n", + "│ │ │ snr_significance (delta_time) float32 98kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt1r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 24471)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 98kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 98kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 98kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 98kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 98kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 98kB ...\n", + "│ │ │ tide_load (delta_time) float32 98kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 98kB ...\n", + "│ │ │ tide_pole (delta_time) float32 98kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt1r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 24471)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 98kB ...\n", + "│ │ ref_coelv (delta_time) float32 98kB ...\n", + "│ │ seg_azimuth (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 98kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 98kB ...\n", + "│ │ x_atc (delta_time) float64 196kB ...\n", + "│ │ y_atc (delta_time) float32 98kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt1r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2600, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 21kB 2020-03-12T23:40:39.900...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 21kB ...\n", + "│ │ lon_mean (delta_time) float64 21kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 16MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 208kB ...\n", + "│ │ x_atc_mean (delta_time) float64 21kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt1r/segment_quality\n", + "│ │ Dimensions: (delta_time: 27532)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 220kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 220kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 220kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 110kB ...\n", + "│ │ segment_id (delta_time) int32 110kB ...\n", + "│ │ signal_selection_source (delta_time) int8 28kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt1r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 27532)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 28kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 28kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 28kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt2l\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 4\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2364, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.692...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 9kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 9kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 189kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2l/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt2r\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce2\n", + "│ │ atlas_beam_type: strong\n", + "│ │ groundtrack_id: gt2r\n", + "│ │ atmosphere_profile: profile_2\n", + "│ │ atlas_spot_number: 3\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt2r/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 200kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 200kB ...\n", + "│ │ │ longitude (delta_time) float64 200kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 25kB ...\n", + "│ │ │ h_li (delta_time) float32 100kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 100kB ...\n", + "│ │ │ segment_id (delta_time) float64 200kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 100kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 100kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 100kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 100kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 25kB ...\n", + "│ │ │ dem_h (delta_time) float32 100kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ geoid_h (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 100kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 100kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 100kB ...\n", + "│ │ │ h_mean (delta_time) float32 100kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 100kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 25kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 25kB ...\n", + "│ │ │ snr (delta_time) float32 100kB ...\n", + "│ │ │ snr_significance (delta_time) float32 100kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt2r/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 25047)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 100kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 100kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 100kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 100kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 100kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 100kB ...\n", + "│ │ │ tide_load (delta_time) float32 100kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 100kB ...\n", + "│ │ │ tide_pole (delta_time) float32 100kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt2r/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 25047)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 100kB ...\n", + "│ │ ref_coelv (delta_time) float32 100kB ...\n", + "│ │ seg_azimuth (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 100kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 100kB ...\n", + "│ │ x_atc (delta_time) float64 200kB ...\n", + "│ │ y_atc (delta_time) float32 100kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt2r/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2781, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 22kB 2020-03-12T23:40:28.745...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 22kB ...\n", + "│ │ lon_mean (delta_time) float64 22kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 11kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 17MB ...\n", + "│ │ pulse_count (delta_time) float32 11kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 222kB ...\n", + "│ │ x_atc_mean (delta_time) float64 22kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt2r/segment_quality\n", + "│ │ Dimensions: (delta_time: 31173)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 249kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 249kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 249kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 125kB ...\n", + "│ │ segment_id (delta_time) int32 125kB ...\n", + "│ │ signal_selection_source (delta_time) int8 31kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt2r/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 31173)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 31kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 31kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 31kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "├── Group: /gt3l\n", + "│ │ Attributes:\n", + "│ │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + "│ │ atlas_pce: pce1\n", + "│ │ atlas_beam_type: weak\n", + "│ │ groundtrack_id: gt3l\n", + "│ │ atmosphere_profile: profile_3\n", + "│ │ atlas_spot_number: 2\n", + "│ │ sc_orientation: Forward\n", + "│ ├── Group: /gt3l/land_ice_segments\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Coordinates:\n", + "│ │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + "│ │ │ latitude (delta_time) float64 209kB ...\n", + "│ │ │ longitude (delta_time) float64 209kB ...\n", + "│ │ │ Data variables:\n", + "│ │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + "│ │ │ h_li (delta_time) float32 104kB ...\n", + "│ │ │ h_li_sigma (delta_time) float32 104kB ...\n", + "│ │ │ segment_id (delta_time) float64 209kB ...\n", + "│ │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + "│ │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/bias_correction\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + "│ │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + "│ │ │ med_r_fit (delta_time) float32 104kB ...\n", + "│ │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + "│ │ │ tx_med_corr (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The bias_correction group contains information about the es...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/dem\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables:\n", + "│ │ │ dem_flag (delta_time) int8 26kB ...\n", + "│ │ │ dem_h (delta_time) float32 104kB ...\n", + "│ │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ geoid_h (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: Contains reference DEM and geoid heights.\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/fit_statistics\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/15)\n", + "│ │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + "│ │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + "│ │ │ h_expected_rms (delta_time) float32 104kB ...\n", + "│ │ │ h_mean (delta_time) float32 104kB ...\n", + "│ │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + "│ │ │ signal_selection_source (delta_time) int8 26kB ...\n", + "│ │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + "│ │ │ snr (delta_time) float32 104kB ...\n", + "│ │ │ snr_significance (delta_time) float32 104kB ...\n", + "│ │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ ├── Group: /gt3l/land_ice_segments/geophysical\n", + "│ │ │ Dimensions: (delta_time: 26106)\n", + "│ │ │ Data variables: (12/20)\n", + "│ │ │ bckgrd (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_conf (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_h (delta_time) float32 104kB ...\n", + "│ │ │ bsnow_od (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + "│ │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + "│ │ │ ... ...\n", + "│ │ │ tide_earth (delta_time) float32 104kB ...\n", + "│ │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + "│ │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + "│ │ │ tide_load (delta_time) float32 104kB ...\n", + "│ │ │ tide_ocean (delta_time) float32 104kB ...\n", + "│ │ │ tide_pole (delta_time) float32 104kB ...\n", + "│ │ │ Attributes:\n", + "│ │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + "│ │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ │ └── Group: /gt3l/land_ice_segments/ground_track\n", + "│ │ Dimensions: (delta_time: 26106)\n", + "│ │ Data variables:\n", + "│ │ ref_azimuth (delta_time) float32 104kB ...\n", + "│ │ ref_coelv (delta_time) float32 104kB ...\n", + "│ │ seg_azimuth (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_at (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_r (delta_time) float32 104kB ...\n", + "│ │ sigma_geo_xt (delta_time) float32 104kB ...\n", + "│ │ x_atc (delta_time) float64 209kB ...\n", + "│ │ y_atc (delta_time) float32 104kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The ground_track group contains parameters describing the G...\n", + "│ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + "│ ├── Group: /gt3l/residual_histogram\n", + "│ │ Dimensions: (delta_time: 2418, bin_top_h: 748, ds_segment_id: 10)\n", + "│ │ Coordinates:\n", + "│ │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + "│ │ * delta_time (delta_time) datetime64[ns] 19kB 2020-03-12T23:40:36.096...\n", + "│ │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + "│ │ lat_mean (delta_time) float64 19kB ...\n", + "│ │ lon_mean (delta_time) float64 19kB ...\n", + "│ │ Data variables:\n", + "│ │ bckgrd_per_m (delta_time) float32 10kB ...\n", + "│ │ count (delta_time, bin_top_h) float64 14MB ...\n", + "│ │ pulse_count (delta_time) float32 10kB ...\n", + "│ │ segment_id_list (delta_time, ds_segment_id) float64 193kB ...\n", + "│ │ x_atc_mean (delta_time) float64 19kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: This group contains histograms of the residuals between PE ...\n", + "│ │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + "│ └── Group: /gt3l/segment_quality\n", + "│ │ Dimensions: (delta_time: 32617)\n", + "│ │ Coordinates:\n", + "│ │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + "│ │ reference_pt_lat (delta_time) float64 261kB ...\n", + "│ │ reference_pt_lon (delta_time) float64 261kB ...\n", + "│ │ Data variables:\n", + "│ │ record_number (delta_time) int32 130kB ...\n", + "│ │ segment_id (delta_time) int32 130kB ...\n", + "│ │ signal_selection_source (delta_time) int8 33kB ...\n", + "│ │ Attributes:\n", + "│ │ Description: The segment_quality group contains a dense record (i.e. for...\n", + "│ │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "│ └── Group: /gt3l/segment_quality/signal_selection_status\n", + "│ Dimensions: (delta_time: 32617)\n", + "│ Data variables:\n", + "│ signal_selection_status_all (delta_time) int8 33kB ...\n", + "│ signal_selection_status_backup (delta_time) int8 33kB ...\n", + "│ signal_selection_status_confident (delta_time) int8 33kB ...\n", + "│ Attributes:\n", + "│ Description: The signal selection status subgroup contains the success o...\n", + "│ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + "└── Group: /gt3r\n", + " │ Attributes:\n", + " │ Description: Contains subgroups organized by Ground Track (gt1l, ...\n", + " │ atlas_pce: pce1\n", + " │ atlas_beam_type: strong\n", + " │ groundtrack_id: gt3r\n", + " │ atmosphere_profile: profile_3\n", + " │ atlas_spot_number: 1\n", + " │ sc_orientation: Forward\n", + " ├── Group: /gt3r/land_ice_segments\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Coordinates:\n", + " │ │ * delta_time (delta_time) datetime64[ns] 209kB 2020-03-12T23:40...\n", + " │ │ latitude (delta_time) float64 209kB ...\n", + " │ │ longitude (delta_time) float64 209kB ...\n", + " │ │ Data variables:\n", + " │ │ atl06_quality_summary (delta_time) int8 26kB ...\n", + " │ │ h_li (delta_time) float32 104kB ...\n", + " │ │ h_li_sigma (delta_time) float32 104kB ...\n", + " │ │ segment_id (delta_time) float64 209kB ...\n", + " │ │ sigma_geo_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The land_ice_height group contains the primary set of deriv...\n", + " │ │ data_rate: Data within this group are sparse. Data values are provide...\n", + " │ ├── Group: /gt3r/land_ice_segments/bias_correction\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ fpb_mean_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_mean_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr (delta_time) float32 104kB ...\n", + " │ │ fpb_med_corr_sigma (delta_time) float32 104kB ...\n", + " │ │ fpb_n_corr (delta_time) float32 104kB ...\n", + " │ │ med_r_fit (delta_time) float32 104kB ...\n", + " │ │ tx_mean_corr (delta_time) float32 104kB ...\n", + " │ │ tx_med_corr (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The bias_correction group contains information about the es...\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/dem\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables:\n", + " │ │ dem_flag (delta_time) int8 26kB ...\n", + " │ │ dem_h (delta_time) float32 104kB ...\n", + " │ │ geoid_free2mean (delta_time) float32 104kB ...\n", + " │ │ geoid_h (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: Contains reference DEM and geoid heights.\n", + " │ │ data_rate: Data within this group are stored at the land_ice segment r...\n", + " │ ├── Group: /gt3r/land_ice_segments/fit_statistics\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/15)\n", + " │ │ dh_fit_dx (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dx_sigma (delta_time) float32 104kB ...\n", + " │ │ dh_fit_dy (delta_time) float32 104kB ...\n", + " │ │ h_expected_rms (delta_time) float32 104kB ...\n", + " │ │ h_mean (delta_time) float32 104kB ...\n", + " │ │ h_rms_misfit (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ sigma_h_mean (delta_time) float32 104kB ...\n", + " │ │ signal_selection_source (delta_time) int8 26kB ...\n", + " │ │ signal_selection_source_status (delta_time) int8 26kB ...\n", + " │ │ snr (delta_time) float32 104kB ...\n", + " │ │ snr_significance (delta_time) float32 104kB ...\n", + " │ │ w_surface_window_final (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The fit_statistics subgroup contains a variety of parameter...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ ├── Group: /gt3r/land_ice_segments/geophysical\n", + " │ │ Dimensions: (delta_time: 26106)\n", + " │ │ Data variables: (12/20)\n", + " │ │ bckgrd (delta_time) float32 104kB ...\n", + " │ │ bsnow_conf (delta_time) float32 104kB ...\n", + " │ │ bsnow_h (delta_time) float32 104kB ...\n", + " │ │ bsnow_od (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_asr (delta_time) float32 104kB ...\n", + " │ │ cloud_flg_atm (delta_time) float32 104kB ...\n", + " │ │ ... ...\n", + " │ │ tide_earth (delta_time) float32 104kB ...\n", + " │ │ tide_earth_free2mean (delta_time) float32 104kB ...\n", + " │ │ tide_equilibrium (delta_time) float32 104kB ...\n", + " │ │ tide_load (delta_time) float32 104kB ...\n", + " │ │ tide_ocean (delta_time) float32 104kB ...\n", + " │ │ tide_pole (delta_time) float32 104kB ...\n", + " │ │ Attributes:\n", + " │ │ Description: The sun_and_clouds group contains parameters related to sol...\n", + " │ │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " │ └── Group: /gt3r/land_ice_segments/ground_track\n", + " │ Dimensions: (delta_time: 26106)\n", + " │ Data variables:\n", + " │ ref_azimuth (delta_time) float32 104kB ...\n", + " │ ref_coelv (delta_time) float32 104kB ...\n", + " │ seg_azimuth (delta_time) float32 104kB ...\n", + " │ sigma_geo_at (delta_time) float32 104kB ...\n", + " │ sigma_geo_r (delta_time) float32 104kB ...\n", + " │ sigma_geo_xt (delta_time) float32 104kB ...\n", + " │ x_atc (delta_time) float64 209kB ...\n", + " │ y_atc (delta_time) float32 104kB ...\n", + " │ Attributes:\n", + " │ Description: The ground_track group contains parameters describing the G...\n", + " │ data_rate: Data within this group are stored at the land_ice_height se...\n", + " ├── Group: /gt3r/residual_histogram\n", + " │ Dimensions: (delta_time: 3008, bin_top_h: 748, ds_segment_id: 10)\n", + " │ Coordinates:\n", + " │ * bin_top_h (bin_top_h) float32 3kB -49.0 -48.0 -47.0 ... 49.0 50.0\n", + " │ * delta_time (delta_time) datetime64[ns] 24kB 2020-03-12T23:40:28.416...\n", + " │ * ds_segment_id (ds_segment_id) int8 10B 1 2 3 4 5 6 7 8 9 10\n", + " │ lat_mean (delta_time) float64 24kB ...\n", + " │ lon_mean (delta_time) float64 24kB ...\n", + " │ Data variables:\n", + " │ bckgrd_per_m (delta_time) float32 12kB ...\n", + " │ count (delta_time, bin_top_h) float64 18MB ...\n", + " │ pulse_count (delta_time) float32 12kB ...\n", + " │ segment_id_list (delta_time, ds_segment_id) float64 241kB ...\n", + " │ x_atc_mean (delta_time) float64 24kB ...\n", + " │ Attributes:\n", + " │ Description: This group contains histograms of the residuals between PE ...\n", + " │ data_rate: Data within this group are stored at the 200-meter along-tr...\n", + " └── Group: /gt3r/segment_quality\n", + " │ Dimensions: (delta_time: 32617)\n", + " │ Coordinates:\n", + " │ * delta_time (delta_time) datetime64[ns] 261kB 2020-03-12T23:...\n", + " │ reference_pt_lat (delta_time) float64 261kB ...\n", + " │ reference_pt_lon (delta_time) float64 261kB ...\n", + " │ Data variables:\n", + " │ record_number (delta_time) int32 130kB ...\n", + " │ segment_id (delta_time) int32 130kB ...\n", + " │ signal_selection_source (delta_time) int8 33kB ...\n", + " │ Attributes:\n", + " │ Description: The segment_quality group contains a dense record (i.e. for...\n", + " │ data_rate: Data within this group are stored at the ICESat-2 20m segme...\n", + " └── Group: /gt3r/segment_quality/signal_selection_status\n", + " Dimensions: (delta_time: 32617)\n", + " Data variables:\n", + " signal_selection_status_all (delta_time) int8 33kB ...\n", + " signal_selection_status_backup (delta_time) int8 33kB ...\n", + " signal_selection_status_confident (delta_time) int8 33kB ...\n", + " Attributes:\n", + " Description: The signal selection status subgroup contains the success o...\n", + " data_rate: Data within this group are stored at the ICESat-2 20m segme..." + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dt = xr.open_datatree(files[1], phony_dims='sort')\n", + "dt" + ] + }, + { + "cell_type": "markdown", + "id": "3392e88a-bf67-45cb-9675-87076d0f5483", + "metadata": {}, + "source": [ + "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`. However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`. `xarray` does this all _under-the-hood_ in a single line. \n", + "\n", + "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. " ] }, { @@ -3133,37 +43372,71 @@ "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ - "
\n", - "
\n", + "
\n", + "
\n", "
\n", "" ], "text/plain": [ - ":Scatter [longitude] (h_li)" + ":Scatter [longitude] (Land Ice height)" ] }, "execution_count": 10, "metadata": { "application/vnd.holoviews_exec.v0+json": { - "id": "1002" + "id": "3a5d51be-59e6-4abe-afeb-40a081c62e53" } }, "output_type": "execute_result" } ], "source": [ - "ds['h_li'].hvplot(kind='scatter', s=2)" + "dt['/gt1l/land_ice_segments/h_li'].hvplot(kind='scatter', s=2)" ] }, { @@ -3197,7 +43470,7 @@ "We have learned how to:\n", "1. use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results;\n", "2. open data granules using direct access to the ICESat-2 S3 bucket;\n", - "3. load a HDF5 group into an xarray.Dataset;\n", + "3. load a HDF5 group into an xarray.Datatree;\n", "4. visualize the land ice heights using hvplot." ] }, @@ -3244,7 +43517,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.11" } }, "nbformat": 4, From 140fd0e95672136c786b2d5bbf1cda149b58f868 Mon Sep 17 00:00:00 2001 From: Amy Steiker <47193922+asteiker@users.noreply.github.com> Date: Thu, 13 Feb 2025 11:31:22 -0700 Subject: [PATCH 4/5] Update README.md Updated learning objective to include xarray.DataTree --- notebooks/ICESat-2_Cloud_Access/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/ICESat-2_Cloud_Access/README.md b/notebooks/ICESat-2_Cloud_Access/README.md index 77b22ce..8812b8c 100644 --- a/notebooks/ICESat-2_Cloud_Access/README.md +++ b/notebooks/ICESat-2_Cloud_Access/README.md @@ -9,7 +9,7 @@ This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly #### Key Learning Objectives 1. Use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results; 2. Open data granules using direct access to the ICESat-2 S3 bucket; -3. Load a HDF5 group into an `xarray.Dataset`; +3. Load a HDF5 group into an `xarray.DataTree`; 4. Visualize the land ice heights using `hvplot`. ### [Plotting ICESat-2 and CryoSat-2 Freeboards](./ICESat2-CryoSat2-Coincident.ipynb) From 25e9b28a732a6c70b3f1e610ee80bb1e329c3033 Mon Sep 17 00:00:00 2001 From: asteiker Date: Mon, 17 Feb 2025 15:33:57 +0000 Subject: [PATCH 5/5] clarify xarray guidance --- notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb | 2 +- .../ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb index e4337ba..6ebf8db 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb @@ -328,7 +328,7 @@ "id": "56677586-a2cd-4ddb-8e57-457ced954331", "metadata": {}, "source": [ - "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`. However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`. `xarray` does this all _under-the-hood_ in a single line. \n", + "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Reading the data into `numpy` arrays or a `pandas.Dataframe` could be an alternative method to using `xarray.Datatree`. However, each granule (file) would have to be read first using a package that reads HDF5 files such as `h5py`. `xarray` does this all under-the-hood in a single line.\n", "\n", "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. " ] diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb index ea9dd74..b13772b 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb @@ -43342,7 +43342,7 @@ "id": "3392e88a-bf67-45cb-9675-87076d0f5483", "metadata": {}, "source": [ - "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`. However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`. `xarray` does this all _under-the-hood_ in a single line. \n", + "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Reading the data into `numpy` arrays or a `pandas.Dataframe` could be an alternative method to using `xarray.Datatree`. However, each granule (file) would have to be read first using a package that reads HDF5 files such as `h5py`. `xarray` does this all under-the-hood in a single line.\n", "\n", "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. " ]