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const stringToBool = (s: string) => (s.toString().match(/^(true|[1-9][0-9]*|[0-9]*[1-9]+|yes)$/i) ? true : false) | |
type levelNames = "emerg" | "alert" | "crit" | "error" | "warn" | "notice" | "info" | "debug" | |
type logLevel = { | |
name: levelNames | |
cb: CallableFunction | |
defaultEnabled: boolean | |
} | |
type callableNames = { | |
[K in levelNames]: CallableFunction |
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<scheme name="Eclectide Monokai" version="142" parent_scheme="Default"> | |
<colors> | |
<option name="ADDED_LINES_COLOR" value="295622" /> | |
<option name="ANNOTATIONS_COLOR" value="b2c0c6" /> | |
<option name="CARET_COLOR" value="bbbbbb" /> | |
<option name="CARET_ROW_COLOR" value="" /> | |
<option name="CONSOLE_BACKGROUND_KEY" value="1c1c1c" /> | |
<option name="FILESTATUS_ADDED" value="629755" /> | |
<option name="FILESTATUS_DELETED" value="6c6c6c" /> | |
<option name="FILESTATUS_IDEA_FILESTATUS_DELETED_FROM_FILE_SYSTEM" value="6c6c6c" /> |
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/** | |
* Demo: http://vpalos.com/sandbox/filter.js/ | |
* | |
* A generic search algorithm designed for filtering (very) large lists of strings; when an input string | |
* contains all the parts (words or characters; whitespace is ignored) of the query, spread-out over the text | |
* then the string is considered to be a match. It works with the way internet browsers (e.g. Firefox, Google | |
* Chrome) filter address-bar suggestions on user input. It is also quite fast; on my i7 laptop, filtering | |
* 1) a list of ~23000 items takes around 50ms (yes, milliseconds!); | |
* 2) a list of ~1 million text items took under 1 second. | |
* It works both in NodeJS as well as in browser environments (so far I only tested FF and GC). |