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example.fv.html
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example.fv.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>Flame Graph</title>
<style>
/*** Layout: ***/
* {
box-sizing: border-box;
}
#width, #graph, #row, #height {
margin: 0;
padding: 0;
}
.row {
position: relative;
}
.leaf,
.self,
.sum {
position: absolute;
}
.label {
min-width: 0;
overflow: hidden;
}
.tooltip {
visibility: hidden;
position: absolute;
z-index: 1;
}
/*** Default Appearance: ***/
* {
font-family: sans-serif;
}
.leaf,
.self,
.sum {
border-width: 1px;
border-style: solid;
border-radius: 4px;
border-color: black;
text-align: center;
}
.group_hover .label {
background-color: ivory !important;
}
.name {
font-style: italic;
}
.selected .label {
font-weight: bold;
}
.selected .name {
font-weight: bold;
}
.tooltip {
border-style: solid;
border-width: 2px;
border-radius: 4px;
border-color: black;
background-color: ivory;
padding: 0.25em 0.5em 0.25em 0.5em;
text-align: left;
}
.tooltipped .leaf:hover .tooltip,
.tooltipped .self:hover .tooltip,
.tooltipped .sum:hover .tooltip {
visibility: visible;
}
</style>
<script>
/*jslint browser: true*/
/*** Generated Data: ***/
// Data for each cells group:
// cell_ids: The ids of the group cells.
// On load, the following is computed for each group:
// columns_mask: A 0/1 mask of all the columns used by the group cells.
var groups_data = {
"(gripe)": {"cell_ids": ["N14", "N34", "N43"]},
"(small)": {"cell_ids": ["N53", "N54", "N55"]},
"(sync)": {"cell_ids": ["N13", "N21", "N42"]},
"choose_indices_of_seeds": {"cell_ids": ["N31", "N37"]},
"compute_partition_indices_of_profiles": {"cell_ids": ["N30", "N36"]},
"optimize_partition_indices_of_profiles": {"cell_ids": ["N32", "N38"]}
};
// Data for each cell:
// level: The stack nesting level.
// columns_mask: A 0/1 mask of all the columns used by the cell.
// group_id: The group the cell belongs to, if any.
var cells_data = {
"N0": {
"level": 0,
"columns_mask": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
},
"N1": {
"level": 1,
"columns_mask": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
},
"N2": {
"level": 2,
"columns_mask": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0]
},
"N52": {
"level": 2,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]
},
"N3": {
"level": 3,
"columns_mask": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0]
},
"N55": {
"level": 4,
"columns_mask": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(small)"
},
"N4": {
"level": 4,
"columns_mask": [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0]
},
"N46": {
"level": 4,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0]
},
"N16": {
"level": 5,
"columns_mask": [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N8": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N39": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N35": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N36": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0],
"group_id": "compute_partition_indices_of_profiles"
},
"N15": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
},
"N6": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
},
"N5": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0]
},
"N7": {
"level": 5,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
},
"N17": {
"level": 6,
"columns_mask": [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N50": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N11": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N10": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N9": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N54": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(small)"
},
"N40": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N37": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
"group_id": "choose_indices_of_seeds"
},
"N38": {
"level": 6,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
"group_id": "optimize_partition_indices_of_profiles"
},
"N34": {
"level": 7,
"columns_mask": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(gripe)"
},
"N18": {
"level": 7,
"columns_mask": [0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N14": {
"level": 7,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(gripe)"
},
"N12": {
"level": 7,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N43": {
"level": 7,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(gripe)"
},
"N41": {
"level": 7,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N21": {
"level": 8,
"columns_mask": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(sync)"
},
"N25": {
"level": 8,
"columns_mask": [0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N23": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N22": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N19": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N24": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N13": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(sync)"
},
"N48": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N42": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(sync)"
},
"N51": {
"level": 8,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N26": {
"level": 9,
"columns_mask": [0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N49": {
"level": 9,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N20": {
"level": 9,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N53": {
"level": 10,
"columns_mask": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "(small)"
},
"N33": {
"level": 10,
"columns_mask": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N30": {
"level": 10,
"columns_mask": [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "compute_partition_indices_of_profiles"
},
"N29": {
"level": 10,
"columns_mask": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
},
"N31": {
"level": 11,
"columns_mask": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "choose_indices_of_seeds"
},
"N32": {
"level": 11,
"columns_mask": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"group_id": "optimize_partition_indices_of_profiles"
}
};
// The size of each leaf/self cell (that is, a column).
var column_sizes = [0.035379, 0.512937, 0.673455, 0.02, 6.349433, 0.56416, 2.635355, 0.31063, 0.026455, 0.734477, 1.232612, 0.348803, 0.533267, 0.053111, 0.073962, 0.92466, 1.708113, 0.492148, 0.293718, 0.019315, 0.182419, 0.465337, 0.88376, 0.806588, 0.060809, 0.103918, 1.594884, 0.403737, 0.128717, 0.653491, 0.082856, 0.074057];
/*** Behavior: ***/
// The total size of everything (for computing percentages).
// Computed on load.
var total_size = null;
// The list of currently selected cell ids.
var selected_cell_ids = [];
// The id of the root cell that covers everything (by convention).
var root_id = "N0";
// Compute which columns are visible given the current selection.
function compute_visible_columns_mask() {
"use strict";
if (selected_cell_ids.length === 1) {
var selected_cell_id = selected_cell_ids[0];
return cells_data[selected_cell_id].columns_mask;
}
var lowest_cell_id = undefined;
var lowest_level = undefined;
selected_cell_ids.forEach(function (cell_id) {
var cell_level = cells_data[cell_id].level;
if (lowest_cell_id === undefined || lowest_level > cell_level) {
lowest_cell_id = cell_id;
lowest_level = cell_level;
}
});
var visible_columns_mask = cells_data[lowest_cell_id].columns_mask.slice();
selected_cell_ids.forEach(function (cell_id) {
var group_id = cells_data[cell_id].group_id;
var columns_mask = (
group_id
? groups_data[group_id].columns_mask
: cells_data[cell_id].columns_mask
);
columns_mask.forEach(function (is_column_in_group, column_index) {
visible_columns_mask[column_index] *= is_column_in_group;
});
});
return visible_columns_mask;
}
// Compute the total size of the visible columns.
function compute_visible_size(visible_columns_mask) {
"use strict";
var visible_size = 0;
column_sizes.forEach(function (column_size, column_index) {
visible_size += column_size * visible_columns_mask[column_index];
});
return visible_size;
}
// Convert a number to a human-friendly precision.
//
// Allow no more than 2 decimal digits after the `.`, unless the number is very
// small, in which case allow as many as needed so that the first two
// significant digits are visible.
function stringify(number) {
"use strict";
if (number === 0) {
return number;
}
if (number < 0) {
return "-" + stringify(-number);
}
var precision = 1;
var result = 0;
while (result === 0) {
precision *= 10;
result = Math.round(number * precision) / precision;
}
precision *= 10;
return Math.round(number * precision) / precision;
}
// Update the visibility and width of a specific cell.
function update_cell(visible_columns_mask,
scale_factor, visible_size, cell_id) {
"use strict";
var cell_data = cells_data[cell_id];
var cell = document.getElementById(cell_id);
var cell_offset_is_done = false;
var cell_offset = 0;
var cell_size = 0;
cell_data.columns_mask.forEach(function (is_column_used, column_index) {
if (visible_columns_mask[column_index] > 0) {
if (is_column_used > 0) {
cell_offset_is_done = true;
cell_size += column_sizes[column_index];
} else if (!cell_offset_is_done) {
cell_offset += column_sizes[column_index];
}
}
});
if (!cell_offset_is_done) {
cell.style.display = "none";
return;
}
cell.style.display = null;
var left = Math.round(cell_offset * scale_factor);
cell.style.left = left + "px";
var width = Math.round((cell_offset + cell_size) * scale_factor) - left;
cell.style.width = width + "px";
var computed = cell.querySelector(".computed");
if (!computed) {
return;
}
var computed_text = stringify(cell_size);
if (cell_size === total_size) {
computed.innerText = computed_text;
return;
}
if (visible_size !== total_size && cell_size !== visible_size) {
var percentage_of_visible = 100 * cell_size / visible_size;
computed_text += "<br/>" + stringify(percentage_of_visible) +
"% out of: " + stringify(visible_size) + " visible";
}
var percentage_of_total = 100 * cell_size / total_size;
computed_text += "<br/>" + stringify(percentage_of_total) +
"% out of: " + stringify(total_size) + " total";
computed.innerHTML = computed_text;
}
// Update all the cells visibility and width.
//
// Must be done every time the selected cell and/or the display width change.
function update_cells() {
"use strict";
var visible_columns_mask = compute_visible_columns_mask();
var visible_size = compute_visible_size(visible_columns_mask);
var graph_width = document.getElementById("width").clientWidth;
var graph = document.getElementById("graph");
graph.style.width = graph_width + "px";
var scale_factor = (graph_width - 2) / visible_size;
Object.keys(cells_data).forEach(function (cell_id) {
update_cell(visible_columns_mask, scale_factor, visible_size, cell_id);
});
}
// Cell hover highlights all cells in a group.
// The cell itself is highlighted using the :hover CSS selector.
// The other cells in the group are highlighted using the group_hover class.
// Highlight all group cells on entry.
function on_over(event) {
"use strict";
var cell = event.currentTarget;
var group_id = cells_data[cell.id].group_id;
if (group_id) {
groups_data[group_id].cell_ids.forEach(function (group_cell_id) {
var group_cell = document.getElementById(group_cell_id);
group_cell.classList.add("group_hover");
});
} else {
cell.classList.add("group_hover");
}
}
// Unhighlight all group cells on exit.
function on_out(event) {
"use strict";
var cell = event.currentTarget;
var group_id = cells_data[cell.id].group_id;
if (group_id) {
groups_data[group_id].cell_ids.forEach(function (group_cell_id) {
var group_cell = document.getElementById(group_cell_id);
group_cell.classList.remove("group_hover");
});
} else {
cell.classList.remove("group_hover");
}
}
// Select a cell for filtering the visible graph content.
//
// A simple click just shows the selected cell columns,
// a control-click adds/removes selected cells,
// an alt-click toggles tooltips.
//
// When multiple cells are selected, the lowest-level one restricts the set of
// columns, and each additional higher-level cell further restricts the columns
// to these covered by the group the cell belongs to.
function on_click(event) {
"use strict";
var cell = event.currentTarget;
if (event.altKey) {
document.getElementById("graph").classList.add("tooltipped");
return;
}
if (!event.ctrlKey) {
selected_cell_ids.forEach(function (cell_id) {
document.getElementById(cell_id).classList.remove("selected");
});
selected_cell_ids = [cell.id];
cell.classList.add("selected");
update_cells();
return;
}
var new_selected_cell_ids = [];
selected_cell_ids.forEach(function (cell_id) {
if (cell_id !== cell.id) {
new_selected_cell_ids.push(cell_id);
}
});
if (new_selected_cell_ids.length === selected_cell_ids.length) {
selected_cell_ids.push(cell.id);
cell.classList.add("selected");
update_cells();
return;
}
cell.classList.remove("selected");
selected_cell_ids = new_selected_cell_ids;
if (new_selected_cell_ids.length === 0) {
selected_cell_ids = [root_id];
document.getElementById(root_id).classList.add("selected");
}
update_cells();
}
// Disable tooltips.
function disable_tooltip(event) {
"use strict";
if (event.altKey) {
document.getElementById("graph").classList.remove("tooltipped");
event.stopPropagation();
}
}
// Attach handlers to table cells.
function register_handlers() {
"use strict";
Object.keys(cells_data).forEach(function (cell_id) {
var cell = document.getElementById(cell_id);
cell.onclick = on_click;
cell.onmouseover = on_over;
cell.onmouseout = on_out;
var tooltip = cell.querySelector(".tooltip");
if (tooltip) {
tooltip.onclick = disable_tooltip;
}
});
}
function compute_groups_columns_masks() {
"use strict";
Object.keys(groups_data).forEach(function (group_id) {
var group_data = groups_data[group_id];
group_data.cell_ids.forEach(function (cell_id) {
var cell_data = cells_data[cell_id];
if (!group_data.columns_mask) {
group_data.columns_mask = cell_data.columns_mask.slice();
} else {
var columns_mask = cell_data.columns_mask;
columns_mask.forEach(function (is_column_used, column_index) {
if (is_column_used > 0) {
group_data.columns_mask[column_index] = 1;
}
});
}
});
});
}
function on_load() {
"use strict";
register_handlers();
total_size = compute_visible_size(cells_data[root_id].columns_mask);
compute_groups_columns_masks();
on_click({
"currentTarget": document.getElementById(root_id),
"ctrlKey": false
});
}
// On resize, update all the cell widths.
window.onresize = update_cells;
// Properly initialize everything on load.
window.onload = on_load;
</script>
</head>
<body>
<h1 id="title">Flame Graph</h1>
<div id="graph" class="tooltipped">
<div class="row">
<div id="N31" class="leaf" style="background-color: rgb(218, 182, 54)">
<div class="tooltip">
<span class="name">choose_indices_of_seeds</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 25<br/>processes: 25</div>
</div>
<div class="label">choose_indices_of_seeds</div>
</div>
<div id="N32" class="leaf" style="background-color: rgb(241, 84, 54)">
<div class="tooltip">
<span class="name">optimize_partition_indices_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 25<br/>processes: 25</div>
</div>
<div class="label">optimize_partition_indices_of_profiles</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N53" class="sum" style="background-color: rgb(235, 135, 54)">
<div class="tooltip">
<span class="name">(small)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
</div>
<div class="label">(small)</div>
</div>
<div id="N33" class="leaf" style="background-color: rgb(234, 181, 20)">
<div class="tooltip">
<span class="name">add_co_occurrences_in_partition_of_subset_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 25<br/>processes: 25</div>
</div>
<div class="label">add_co_occurrences_in_partition_of_subset_of_profiles</div>
</div>
<div id="N30" class="sum" style="background-color: rgb(235, 9, 3)">
<div class="tooltip">
<span class="name">compute_partition_indices_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 25<br/>processes: 25</div>
</div>
<div class="label">compute_partition_indices_of_profiles</div>
</div>
<div id="N29" class="leaf" style="background-color: rgb(210, 140, 31)">
<div class="tooltip">
<span class="name">compute_weights_of_edges_between_subset_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 25<br/>processes: 25</div>
</div>
<div class="label">compute_weights_of_edges_between_subset_of_profiles</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N26" class="sum" style="background-color: rgb(251, 23, 0)">
<div class="tooltip">
<span class="name">collect_co_occurrences_in_partition_of_subset_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">collect_co_occurrences_in_partition_of_subset_of_profiles</div>
</div>
<div id="N49" class="self" style="background-color: rgb(231, 153, 52)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_subsets_of_profiles;(self)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(self)</div>
</div>
<div id="N20" class="leaf" style="background-color: rgb(208, 80, 19)">
<div class="tooltip">
<span class="name">compute_downsampled_data</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">compute_downsampled_data</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N21" class="leaf" style="background-color: rgb(244, 204, 30)">
<div class="tooltip">
<span class="name">(sync)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(sync)</div>
</div>
<div id="N25" class="sum" style="background-color: rgb(231, 162, 13)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_subsets_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">collect_co_occurrences_of_subsets_of_profiles</div>
</div>
<div id="N23" class="leaf" style="background-color: rgb(216, 186, 41)">
<div class="tooltip">
<span class="name">compute_balanced_ranks_of_edges_between_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">compute_balanced_ranks_of_edges_between_profiles</div>
</div>
<div id="N22" class="leaf" style="background-color: rgb(251, 45, 54)">
<div class="tooltip">
<span class="name">compute_correlations_between_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">compute_correlations_between_profiles</div>
</div>
<div id="N19" class="sum" style="background-color: rgb(232, 48, 31)">
<div class="tooltip">
<span class="name">compute_prepared_data</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">compute_prepared_data</div>
</div>
<div id="N24" class="leaf" style="background-color: rgb(250, 14, 32)">
<div class="tooltip">
<span class="name">compute_weights_of_edges_between_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">compute_weights_of_edges_between_profiles</div>
</div>
<div id="N13" class="leaf" style="background-color: rgb(240, 110, 30)">
<div class="tooltip">
<span class="name">(sync)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(sync)</div>
</div>
<div id="N48" class="self" style="background-color: rgb(228, 38, 3)">
<div class="tooltip">
<span class="name">compute_downsampled_columns;-;(self)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(self)</div>
</div>
<div id="N42" class="leaf" style="background-color: rgb(216, 50, 23)">
<div class="tooltip">
<span class="name">(sync)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(sync)</div>
</div>
<div id="N51" class="self" style="background-color: rgb(223, 63, 7)">
<div class="tooltip">
<span class="name">compute_outlier_profile_indices_in_group;-;(self)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">(self)</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N34" class="leaf" style="background-color: rgb(248, 143, 15)">
<div class="tooltip">
<span class="name">(gripe)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">(gripe)</div>
</div>
<div id="N18" class="sum" style="background-color: rgb(160, 160, 160)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_prepared_profiles;-</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">-</div>
</div>
<div id="N14" class="leaf" style="background-color: rgb(216, 172, 49)">
<div class="tooltip">
<span class="name">(gripe)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">(gripe)</div>
</div>
<div id="N12" class="sum" style="background-color: rgb(160, 160, 160)">
<div class="tooltip">
<span class="name">compute_downsampled_columns;-</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">-</div>
</div>
<div id="N43" class="leaf" style="background-color: rgb(220, 197, 43)">
<div class="tooltip">
<span class="name">(gripe)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">(gripe)</div>
</div>
<div id="N41" class="sum" style="background-color: rgb(160, 160, 160)">
<div class="tooltip">
<span class="name">compute_outlier_profile_indices_in_group;-</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1<br/>processes: 25</div>
</div>
<div class="label">-</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N17" class="sum" style="background-color: rgb(206, 152, 31)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_prepared_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">collect_co_occurrences_of_prepared_profiles</div>
</div>
<div id="N50" class="self" style="background-color: rgb(246, 195, 53)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_profiles;(self)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">(self)</div>
</div>
<div id="N11" class="sum" style="background-color: rgb(225, 28, 30)">
<div class="tooltip">
<span class="name">compute_downsampled_columns</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">compute_downsampled_columns</div>
</div>
<div id="N10" class="leaf" style="background-color: rgb(223, 25, 41)">
<div class="tooltip">
<span class="name">compute_minimal_umis_of_profile</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">compute_minimal_umis_of_profile</div>
</div>
<div id="N9" class="leaf" style="background-color: rgb(222, 33, 3)">
<div class="tooltip">
<span class="name">prepare_shared_memory_downsampled_data</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">prepare_shared_memory_downsampled_data</div>
</div>
<div id="N54" class="sum" style="background-color: rgb(237, 41, 3)">
<div class="tooltip">
<span class="name">(small)</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
</div>
<div class="label">(small)</div>
</div>
<div id="N40" class="sum" style="background-color: rgb(241, 52, 1)">
<div class="tooltip">
<span class="name">compute_outlier_profile_indices_in_group</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">compute_outlier_profile_indices_in_group</div>
</div>
<div id="N37" class="leaf" style="background-color: rgb(251, 100, 43)">
<div class="tooltip">
<span class="name">choose_indices_of_seeds</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">choose_indices_of_seeds</div>
</div>
<div id="N38" class="leaf" style="background-color: rgb(252, 0, 45)">
<div class="tooltip">
<span class="name">optimize_partition_indices_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">optimize_partition_indices_of_profiles</div>
</div>
<div class="height"> </div>
</div>
<div class="row">
<div id="N16" class="sum" style="background-color: rgb(246, 98, 37)">
<div class="tooltip">
<span class="name">collect_co_occurrences_of_profiles</span><br/>
<hr/>
<div class="basic">samples: <span class="computed"></span></div>
<div class="extra">
invocations: 1</div>
</div>
<div class="label">collect_co_occurrences_of_profiles</div>
</div>