diff --git a/docs/thicket_rajaperf_clustering.ipynb b/docs/thicket_rajaperf_clustering.ipynb index a1eb40c5..f2d819f3 100644 --- a/docs/thicket_rajaperf_clustering.ipynb +++ b/docs/thicket_rajaperf_clustering.ipynb @@ -250,7 +250,7 @@ " else:\n", " raise ValueError(\"Could not set default metric\")\n", " subthickets.append(thicket)\n", - " return Thicket.concat_thickets(subthickets)" + " return Thicket.unify_ensemble(subthickets)" ] }, { diff --git a/docs/thicket_tutorial.ipynb b/docs/thicket_tutorial.ipynb index 8a1556f8..800dc338 100644 --- a/docs/thicket_tutorial.ipynb +++ b/docs/thicket_tutorial.ipynb @@ -40,7 +40,327 @@ }, { "data": { - "application/javascript": "var Roundtrip_Obj = {};\nvar refresh_cycle = false;\nvar clicked_cell = null;\nvar cached_cells = Jupyter.notebook.get_cell_elements();\n\n/**\n * @name unindentPyCode\n * @description Removes leading indentations from a python code string.\n * \n * @param {string} code Python code in string form\n * @returns Passed code string but with no leading indentations\n */\nfunction unindentPyCode(code){\n let uicode = code.split('\\n');\n let indent = 0;\n\n uicode.forEach((l,i, arr)=>{\n if(i == 0){\n indent = l.search(/\\S/);\n }\n arr[i] = l.slice(indent);\n })\n uicode = uicode.join('\\n');\n return uicode;\n}\n\n/**\n * @name buildPythonAssignment\n * @description Builds up a python code string which assigns javascript data back into jypyter notebook namespace\n * \n * @param {string} val This is data assigned back to the python code\n * @param {string} py_var This is the variable into which val is assigned\n * @param {string} converter This is a definition of a python function which translates data back to the desired format\n * @returns The python code to be run in the jupyter shell\n */\nfunction buildPythonAssignment(val, py_var, converter){\n // console.log(val, py_var, converter);\n var holder = `'${val}'`;\n var code = `${unindentPyCode(converter.code)}`\n code += `\\ntmp = ${holder}`;\n code += `\\n${py_var} = ${converter.name}(tmp)`\n\n return code\n}\n\n/**\n * @name manageNewCell\n * \n * @description Increments all two way bound cell ids by the number of new cells which proceed them. \n * Ex. Adding one cell at position 2 will increment a bound cell at position 3 from 3->4. \n * \n * @param {array} newCells A list of our current cells in the notebook to be compared against cached cells\n * @param {} obj The current roundtrip object containing all data bindings\n */\nfunction manageNewCell(newCells, obj){\n let newIds = [];\n\n Object.keys(newCells).forEach(function(i){\n if(!Object.values(cached_cells).includes(newCells[i]) && !isNaN(i)){\n newIds.push(i);\n }\n });\n\n //increment all bindings past each new id\n for(let js_var in obj){\n for(let id of newIds){\n for(let key in obj[js_var][\"two_way\"]){\n obj[js_var][\"two_way\"][key].forEach((two_way_id, i) => {\n if(two_way_id > id){\n obj[js_var][\"two_way\"][key][i] += 1;\n }\n });\n }\n } \n }\n\n cached_cells = newCells;\n}\n\nfunction manageDeletedCell(newCells, obj){\n let deletedId = null;\n \n for(i of Object.keys(cachedCells)){\n if (cached_cells[i] !== newCells[i]){\n deletedId = i;\n break;\n }\n }\n\n}\n\n\nfunction bindClickDetectToCells(){\n let cells = Jupyter.notebook.get_cell_elements();\n\n for(let i in Object.keys(cells)){\n let cell = cells[i];\n\n if(cell !== undefined){\n cell.addEventListener('mousedown', () => {\n clicked_cell = i;\n }, true)\n }\n }\n}\n\nbindClickDetectToCells();\n\n/**\n * @name RT_Handler\n * @description A wrapper for our roundtrip object. It is called as a proxy for the\n * roundtrip object defined above. This enables us to define custom call backs for\n * gets and sets on the roundtrip object. The custom set handles necessary data conversion,\n * the registering of two-way bound variables and automatic updating of watched cells. The get\n * allows users to interact with the underlying object without worrying about the proxy.\n */\nvar RT_Handler = {\n set(obj, prop, value){\n //Do cell housekeeping\n\n\n //Initial pass of value into roundtrip object\n // from python code; there may be multiple different\n // visualizations of the same type we need to catch\n if (typeof value === 'object' && value.hasOwnProperty('origin') && value.origin == 'INIT'){\n \n /**\n * In this code block we need to check if there is already a \n * an array of id's which are two way bound already defined and \n * add to it or remove from it\n */\n let ida = Jupyter.notebook.get_selected_index()-1;\n value.id = ida;\n let new_val = value;\n\n // Block updating bindings while jupyter is running\n if(refresh_cycle){\n new_val = obj[prop];\n new_val.data = value.data;\n return Reflect.set(obj, prop, new_val);\n }\n\n /**\n * The broad case where we are updating bindings \n * on existing data\n */\n if(obj[prop] != undefined){\n new_val = obj[prop];\n new_val.data = value.data;\n new_val.converter = value.converter;\n\n // If there is no two way array, create one\n // Else push on our new id\n if(value.two_way === true){\n if(!Object.keys(new_val.two_way).includes(value['python_var'])){\n new_val.two_way[value['python_var']] = [];\n }\n\n let pybinding = new_val.two_way[value['python_var']];\n\n if(!pybinding.includes(value.id)){\n pybinding.push(value.id);\n }\n\n }\n\n //Deregister a cell id from being two-way bound now\n else if(value.two_way === false && Object.keys(new_val.two_way).includes(value['python_var'])){\n let pybinding = new_val.two_way[value['python_var']];\n const index = pybinding.indexOf(value.id);\n \n if (index > -1) {\n pybinding.splice(index, 1);\n }\n }\n }\n\n //Initalize a new two-way object if\n // one did not exist\n else{\n if(new_val.two_way == true){\n new_val.two_way = {};\n new_val.two_way[value['python_var']] = [value.id];\n }\n else{\n new_val.two_way = {};\n }\n delete new_val.id;\n delete new_val.from_py;\n delete new_val.python_var;\n }\n\n return Reflect.set(obj, prop, new_val);\n }\n //Assignment from javascript code\n else {\n // TODO: make the py/js data identification object a\n // formal class\n if(obj[prop] === undefined){\n obj[prop] = {\n two_way: {},\n origin: \"JS\",\n data: null,\n python_var: \"\",\n converter: null,\n type: typeof(value)\n }\n }\n\n var execable_cells = [];\n let origin = 'STANDARD';\n let python_var = '';\n\n if (typeof value === 'object' && \n value.hasOwnProperty('origin') && \n value.origin == 'PYASSIGN'){\n\n origin = value.origin;\n python_var = value.python_var;\n value = value.data;\n }\n\n //TODO: Replace with imported, webpacked D3\n require(['https://d3js.org/d3.v4.min.js'], function(d3) {\n\n // When 2 way bound this calls automatically when something changes\n if (obj[prop] !== undefined && Object.keys(obj[prop][\"two_way\"]).length > 0){\n\n let current_cell = Number(clicked_cell);\n let py_var = '';\n\n //ust set the data without updating if our current cell is not two way bound\n if(origin == 'STANDARD'){\n let found = false;\n for(let key in obj[prop][\"two_way\"]){\n if (obj[prop][\"two_way\"][key].includes(current_cell)){\n found = true;\n py_var = key;\n }\n }\n\n if(!found){\n return Reflect.set(obj[prop], \"data\", value);\n }\n }\n\n\n if(origin == 'PYASSIGN'){\n py_var = python_var;\n }\n\n\n /**\n * We now have a list of registered cells we can execute.\n * So we look through our javascript variables to see if they\n * are bound to the same py variable as our current assignment\n * TODO: Make this list update when cells are moved up or down\n */\n\n for(let js_var in obj){\n let boundpyvars = Object.keys(obj[js_var][\"two_way\"]);\n\n if(boundpyvars.includes(py_var)){\n let clls = obj[js_var][\"two_way\"][py_var].filter(x => x != current_cell );\n execable_cells = execable_cells.concat(clls);\n }\n }\n\n if(origin == 'STANDARD'){\n // TODO:THROW AN ERROR IF CONVERTER == NONE\n const code = buildPythonAssignment(value, py_var, obj[prop][\"converter\"]);\n \n //TODO: Turn this into a function that manages error reporting and printing\n Jupyter.notebook.kernel.execute(code, { \n shell:{\n reply: function(r){\n //consider putting this in a reserved jupyter variable\n if(r.content.status == 'error'){\n console.error(`${r.content.ename} in JS->Python coversion:\\n ${r.content.evalue}`)\n }\n }\n }\n });\n }\n\n refresh_cycle = true;\n Jupyter.notebook.execute_cells(execable_cells);\n\n /**\n * Test every half second to see if some of the\n * jupyter cells are still running. Avoids a race condition\n * where incorrect ids were stored in our roundtrip object.\n */\n const test_running = function(){\n let runtest = d3.selectAll(\".running\");\n if(runtest.empty()){\n refresh_cycle = false;\n return;\n }\n else{\n setTimeout(test_running, 500);\n }\n }\n\n test_running();\n }\n\n });\n } \n\n return Reflect.set(obj[prop], \"data\", value);\n },\n get(obj, prop, reciever){\n let ret = obj[prop].data\n return ret; \n }\n}\n\nwindow.Roundtrip = new Proxy(Roundtrip_Obj, RT_Handler);\n", + "application/javascript": [ + "var Roundtrip_Obj = {};\n", + "var refresh_cycle = false;\n", + "var clicked_cell = null;\n", + "var cached_cells = Jupyter.notebook.get_cell_elements();\n", + "\n", + "/**\n", + " * @name unindentPyCode\n", + " * @description Removes leading indentations from a python code string.\n", + " * \n", + " * @param {string} code Python code in string form\n", + " * @returns Passed code string but with no leading indentations\n", + " */\n", + "function unindentPyCode(code){\n", + " let uicode = code.split('\\n');\n", + " let indent = 0;\n", + "\n", + " uicode.forEach((l,i, arr)=>{\n", + " if(i == 0){\n", + " indent = l.search(/\\S/);\n", + " }\n", + " arr[i] = l.slice(indent);\n", + " })\n", + " uicode = uicode.join('\\n');\n", + " return uicode;\n", + "}\n", + "\n", + "/**\n", + " * @name buildPythonAssignment\n", + " * @description Builds up a python code string which assigns javascript data back into jypyter notebook namespace\n", + " * \n", + " * @param {string} val This is data assigned back to the python code\n", + " * @param {string} py_var This is the variable into which val is assigned\n", + " * @param {string} converter This is a definition of a python function which translates data back to the desired format\n", + " * @returns The python code to be run in the jupyter shell\n", + " */\n", + "function buildPythonAssignment(val, py_var, converter){\n", + " // console.log(val, py_var, converter);\n", + " var holder = `'${val}'`;\n", + " var code = `${unindentPyCode(converter.code)}`\n", + " code += `\\ntmp = ${holder}`;\n", + " code += `\\n${py_var} = ${converter.name}(tmp)`\n", + "\n", + " return code\n", + "}\n", + "\n", + "/**\n", + " * @name manageNewCell\n", + " * \n", + " * @description Increments all two way bound cell ids by the number of new cells which proceed them. \n", + " * Ex. Adding one cell at position 2 will increment a bound cell at position 3 from 3->4. \n", + " * \n", + " * @param {array} newCells A list of our current cells in the notebook to be compared against cached cells\n", + " * @param {} obj The current roundtrip object containing all data bindings\n", + " */\n", + "function manageNewCell(newCells, obj){\n", + " let newIds = [];\n", + "\n", + " Object.keys(newCells).forEach(function(i){\n", + " if(!Object.values(cached_cells).includes(newCells[i]) && !isNaN(i)){\n", + " newIds.push(i);\n", + " }\n", + " });\n", + "\n", + " //increment all bindings past each new id\n", + " for(let js_var in obj){\n", + " for(let id of newIds){\n", + " for(let key in obj[js_var][\"two_way\"]){\n", + " obj[js_var][\"two_way\"][key].forEach((two_way_id, i) => {\n", + " if(two_way_id > id){\n", + " obj[js_var][\"two_way\"][key][i] += 1;\n", + " }\n", + " });\n", + " }\n", + " } \n", + " }\n", + "\n", + " cached_cells = newCells;\n", + "}\n", + "\n", + "function manageDeletedCell(newCells, obj){\n", + " let deletedId = null;\n", + " \n", + " for(i of Object.keys(cachedCells)){\n", + " if (cached_cells[i] !== newCells[i]){\n", + " deletedId = i;\n", + " break;\n", + " }\n", + " }\n", + "\n", + "}\n", + "\n", + "\n", + "function bindClickDetectToCells(){\n", + " let cells = Jupyter.notebook.get_cell_elements();\n", + "\n", + " for(let i in Object.keys(cells)){\n", + " let cell = cells[i];\n", + "\n", + " if(cell !== undefined){\n", + " cell.addEventListener('mousedown', () => {\n", + " clicked_cell = i;\n", + " }, true)\n", + " }\n", + " }\n", + "}\n", + "\n", + "bindClickDetectToCells();\n", + "\n", + "/**\n", + " * @name RT_Handler\n", + " * @description A wrapper for our roundtrip object. It is called as a proxy for the\n", + " * roundtrip object defined above. This enables us to define custom call backs for\n", + " * gets and sets on the roundtrip object. The custom set handles necessary data conversion,\n", + " * the registering of two-way bound variables and automatic updating of watched cells. The get\n", + " * allows users to interact with the underlying object without worrying about the proxy.\n", + " */\n", + "var RT_Handler = {\n", + " set(obj, prop, value){\n", + " //Do cell housekeeping\n", + "\n", + "\n", + " //Initial pass of value into roundtrip object\n", + " // from python code; there may be multiple different\n", + " // visualizations of the same type we need to catch\n", + " if (typeof value === 'object' && value.hasOwnProperty('origin') && value.origin == 'INIT'){\n", + " \n", + " /**\n", + " * In this code block we need to check if there is already a \n", + " * an array of id's which are two way bound already defined and \n", + " * add to it or remove from it\n", + " */\n", + " let ida = Jupyter.notebook.get_selected_index()-1;\n", + " value.id = ida;\n", + " let new_val = value;\n", + "\n", + " // Block updating bindings while jupyter is running\n", + " if(refresh_cycle){\n", + " new_val = obj[prop];\n", + " new_val.data = value.data;\n", + " return Reflect.set(obj, prop, new_val);\n", + " }\n", + "\n", + " /**\n", + " * The broad case where we are updating bindings \n", + " * on existing data\n", + " */\n", + " if(obj[prop] != undefined){\n", + " new_val = obj[prop];\n", + " new_val.data = value.data;\n", + " new_val.converter = value.converter;\n", + "\n", + " // If there is no two way array, create one\n", + " // Else push on our new id\n", + " if(value.two_way === true){\n", + " if(!Object.keys(new_val.two_way).includes(value['python_var'])){\n", + " new_val.two_way[value['python_var']] = [];\n", + " }\n", + "\n", + " let pybinding = new_val.two_way[value['python_var']];\n", + "\n", + " if(!pybinding.includes(value.id)){\n", + " pybinding.push(value.id);\n", + " }\n", + "\n", + " }\n", + "\n", + " //Deregister a cell id from being two-way bound now\n", + " else if(value.two_way === false && Object.keys(new_val.two_way).includes(value['python_var'])){\n", + " let pybinding = new_val.two_way[value['python_var']];\n", + " const index = pybinding.indexOf(value.id);\n", + " \n", + " if (index > -1) {\n", + " pybinding.splice(index, 1);\n", + " }\n", + " }\n", + " }\n", + "\n", + " //Initalize a new two-way object if\n", + " // one did not exist\n", + " else{\n", + " if(new_val.two_way == true){\n", + " new_val.two_way = {};\n", + " new_val.two_way[value['python_var']] = [value.id];\n", + " }\n", + " else{\n", + " new_val.two_way = {};\n", + " }\n", + " delete new_val.id;\n", + " delete new_val.from_py;\n", + " delete new_val.python_var;\n", + " }\n", + "\n", + " return Reflect.set(obj, prop, new_val);\n", + " }\n", + " //Assignment from javascript code\n", + " else {\n", + " // TODO: make the py/js data identification object a\n", + " // formal class\n", + " if(obj[prop] === undefined){\n", + " obj[prop] = {\n", + " two_way: {},\n", + " origin: \"JS\",\n", + " data: null,\n", + " python_var: \"\",\n", + " converter: null,\n", + " type: typeof(value)\n", + " }\n", + " }\n", + "\n", + " var execable_cells = [];\n", + " let origin = 'STANDARD';\n", + " let python_var = '';\n", + "\n", + " if (typeof value === 'object' && \n", + " value.hasOwnProperty('origin') && \n", + " value.origin == 'PYASSIGN'){\n", + "\n", + " origin = value.origin;\n", + " python_var = value.python_var;\n", + " value = value.data;\n", + " }\n", + "\n", + " //TODO: Replace with imported, webpacked D3\n", + " require(['https://d3js.org/d3.v4.min.js'], function(d3) {\n", + "\n", + " // When 2 way bound this calls automatically when something changes\n", + " if (obj[prop] !== undefined && Object.keys(obj[prop][\"two_way\"]).length > 0){\n", + "\n", + " let current_cell = Number(clicked_cell);\n", + " let py_var = '';\n", + "\n", + " //ust set the data without updating if our current cell is not two way bound\n", + " if(origin == 'STANDARD'){\n", + " let found = false;\n", + " for(let key in obj[prop][\"two_way\"]){\n", + " if (obj[prop][\"two_way\"][key].includes(current_cell)){\n", + " found = true;\n", + " py_var = key;\n", + " }\n", + " }\n", + "\n", + " if(!found){\n", + " return Reflect.set(obj[prop], \"data\", value);\n", + " }\n", + " }\n", + "\n", + "\n", + " if(origin == 'PYASSIGN'){\n", + " py_var = python_var;\n", + " }\n", + "\n", + "\n", + " /**\n", + " * We now have a list of registered cells we can execute.\n", + " * So we look through our javascript variables to see if they\n", + " * are bound to the same py variable as our current assignment\n", + " * TODO: Make this list update when cells are moved up or down\n", + " */\n", + "\n", + " for(let js_var in obj){\n", + " let boundpyvars = Object.keys(obj[js_var][\"two_way\"]);\n", + "\n", + " if(boundpyvars.includes(py_var)){\n", + " let clls = obj[js_var][\"two_way\"][py_var].filter(x => x != current_cell );\n", + " execable_cells = execable_cells.concat(clls);\n", + " }\n", + " }\n", + "\n", + " if(origin == 'STANDARD'){\n", + " // TODO:THROW AN ERROR IF CONVERTER == NONE\n", + " const code = buildPythonAssignment(value, py_var, obj[prop][\"converter\"]);\n", + " \n", + " //TODO: Turn this into a function that manages error reporting and printing\n", + " Jupyter.notebook.kernel.execute(code, { \n", + " shell:{\n", + " reply: function(r){\n", + " //consider putting this in a reserved jupyter variable\n", + " if(r.content.status == 'error'){\n", + " console.error(`${r.content.ename} in JS->Python coversion:\\n ${r.content.evalue}`)\n", + " }\n", + " }\n", + " }\n", + " });\n", + " }\n", + "\n", + " refresh_cycle = true;\n", + " Jupyter.notebook.execute_cells(execable_cells);\n", + "\n", + " /**\n", + " * Test every half second to see if some of the\n", + " * jupyter cells are still running. Avoids a race condition\n", + " * where incorrect ids were stored in our roundtrip object.\n", + " */\n", + " const test_running = function(){\n", + " let runtest = d3.selectAll(\".running\");\n", + " if(runtest.empty()){\n", + " refresh_cycle = false;\n", + " return;\n", + " }\n", + " else{\n", + " setTimeout(test_running, 500);\n", + " }\n", + " }\n", + "\n", + " test_running();\n", + " }\n", + "\n", + " });\n", + " } \n", + "\n", + " return Reflect.set(obj[prop], \"data\", value);\n", + " },\n", + " get(obj, prop, reciever){\n", + " let ret = obj[prop].data\n", + " return ret; \n", + " }\n", + "}\n", + "\n", + "window.Roundtrip = new Proxy(Roundtrip_Obj, RT_Handler);\n" + ], "text/plain": [ "" ] @@ -531,7 +851,7 @@ "metadata": {}, "source": [ "#### Composing multiple Thickets:\n", - "We can compose thickets in a hierarchical, horizontal ordering using thicket's `concat_thickets(axis=\"columns\")` function. In this example, we compose profiles of two different problem sizes and four different block sizes seamlessly." + "We can compose thickets in a hierarchical, horizontal ordering using thicket's `columnar_join` function. In this example, we compose profiles of two different problem sizes and four different block sizes seamlessly." ] }, { @@ -567,11 +887,10 @@ "metadata": {}, "outputs": [], "source": [ - "th_cj = tt.Thicket.concat_thickets(\n", - " thickets=[block_128, block_256, block_512, block_1024],\n", - " axis=\"columns\",\n", - " headers=[\"Block 128\", \"Block 256\", \"Block 512\", \"Block 1024\"],\n", - " metadata_key=\"ProblemSizeRunParam\"\n", + "th_cj = tt.Thicket.columnar_join(\n", + " thicket_list=[block_128, block_256, block_512, block_1024],\n", + " header_list=[\"Block 128\", \"Block 256\", \"Block 512\", \"Block 1024\"],\n", + " column_name=\"ProblemSizeRunParam\"\n", ")" ] }, @@ -3722,7 +4041,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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\n", 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