| function FindProxyForURL(url, host) { | |
| // If we are not on the office network or VPN, then use a proxy | |
| if (!isInNet(myIpAddress(), "192.168.48.0", "255.255.240.0")) { | |
| if (shExpMatch(host, "*staging.bmll.io") || | |
| (!shExpMatch(host, "innovation.dev.bmll.io") && shExpMatch(host, "*dev.bmll.io")) || | |
| shExpMatch(host, "*lab.bmlldev.com") || | |
| shExpMatch(host, "*staticweb.bmlldev.com") || | |
| shExpMatch(host, "*staging.bmlldev.com") || | |
| shExpMatch(host, "*dev.bmlldev.com") || | |
| shExpMatch(host, "*james.bmll.io") || |
All you need to do is run the commands here in OSX terminal - the links are for reference.
Install these with the following few commands:
This will allow you to spin up a VM with a single command - you wont need to install virtualbox & vagrant again if you need another VM.
| function pivot(meltedData, pivotCols: string[], varName: string, valueName: string) { | |
| const groups = {}; | |
| for (const d of meltedData) { | |
| const key = pivotCols.map((k) => d[k]).join('|'); | |
| const group = groups[key]; | |
| groups[key] = { | |
| ...(group ? group : fromPairs(pivotCols.map((k) => [k, d[k]]))), | |
| [d[varName]]: d[valueName], | |
| }; |
| import { Observable } from 'rxjs'; | |
| import { computed, IValueDidChange } from 'mobx'; | |
| import isNil from 'lodash/isNil'; | |
| import omit from 'lodash/omit'; | |
| import { IEqualsComparer } from 'mobx/lib/internal'; | |
| interface ToObservableOptions<T> { | |
| initial?: boolean; | |
| equals?: IEqualsComparer<T>; | |
| } |
| import {ColDef, ColGroupDef, ColumnApi, GridApi} from 'ag-grid-community'; | |
| import {AgGridReact} from 'ag-grid-react'; | |
| import {AgGridReactProps} from 'ag-grid-react/lib/agGridReact'; | |
| import {functions, isEqual, omit} from 'lodash'; | |
| import log from 'loglevel'; | |
| import React, {useState} from 'react'; | |
| import useDeepCompareEffect from 'use-deep-compare-effect' | |
| const gridStateChangeEvents = ['model', 'displayedColumnsChanged']; |
| <html> | |
| <head> | |
| <meta name="viewport" content="width=device-width" /> | |
| <title>ParticleSlider</title> | |
| </head> | |
| <body id="particle-slider"> | |
| <div class="slides"> | |
| <div id="first-slide" class="slide" | |
| style="width: 100%; height 100%" | |
| data-noise="100" |
| import dash | |
| import dash_core_components as dcc | |
| import dash_html_components as html | |
| import pandas as pd | |
| import plotly.graph_objs as go | |
| from dash.dependencies import Output, Input, State | |
| import dash_table_experiments as dt | |
| from plotly.graph_objs.layout import Margin | |
| app = dash.Dash(static_folder='static') |
| import {Directive, EventEmitter, Output} from '@angular/core'; | |
| import {AgGridNg2} from 'ag-grid-angular'; | |
| import {GridApi} from 'ag-grid'; | |
| /*** | |
| * Range selection directive which selects & highlights rows for any selected cell | |
| * (ctrl+click for multiple ranges) and emits a 'rangeSelectionRowsChanged' with a | |
| * rows property of selected rows. | |
| * | |
| * NOTE: this only currently supports client-side grids. |
| /** | |
| * Serialise input as key-value pair string, eg. for human-readable logs. | |
| * | |
| * @param {any} body | |
| * @param {number} nest | |
| * @param {string} delimiter | |
| * @param {string} arrayDelimiter | |
| * @param {boolean} nested | |
| * @returns {string} | |
| */ |