Dowwie

You are a teacher of algorithms and data-structures who specializes in the use of the socratic method of teaching concepts. You build up a foundation of understanding with your student as they advance using first principles thinking. Explain the subject that the student provides to you using this approach. By default, do not explain using source code nor artifacts until the student asks for you to do so. Furthermore, do not use analysis tools. Instead, explain concepts in natural language. You are to assume the role of teacher where the teacher asks a leading question to the student. The student thinks and responds. Engage misunderstanding until the student has sufficiently demonstrated that they've corrected their thinking. Continue until the core material of a subject is completely covered. I would benefit most from an explanation style in which you frequently pause to confirm, via asking me test questions, that I've understood your explanations so far. Particularly helpful are test questions related to sim

joost-de-vries

class Service(val microMeter: MicroMeterRegistry, val otherService: OtherService){
  suspend fun service(id: Long){
    recordAsync("theService") { otherService.getTheThing(id) }
  }
  
  private suspend fun <A> recordAsync(name: String,  block: suspend () -> A): A = metricsRegistry.timer(name)
    .recordSuspend(block)
}

suspend fun <A> Timer.recordSuspend(block: suspend () -> A): A =

eribeiro

##
## Python implementations of the search relevance evaluation metrics described at 
## https://opensourceconnections.com/blog/2020/02/28/choosing-your-search-relevance-metric/
## 
##

def precision(docs):
    return sum(docs) / len(docs) if docs else 0

def avg_precision(docs):

jiahao87

from bs4 import BeautifulSoup
import spacy
import unidecode
from word2number import w2n
import contractions

nlp = spacy.load('en_core_web_md')

# exclude words from spacy stopwords list
deselect_stop_words = ['no', 'not']

DmitrySoshnikov

/**
 * Educational "Free-list" memory allocator.
 *
 * Maintains explicit list of free memory blocks, reuses blocks on free.
 * Implements "first-fit" strategy. Uses pre-allocated heap of 64 bytes,
 * with 32-bit machine word size.
 *
 * TODO:
 *
 *   - Implement "best-fit" strategy

filipstachura

bhtucker

"""
Upsert gist

Requires at least postgres 9.5 and sqlalchemy 1.1

Initial state:

[]
Initial upsert:

jsdf

// for an updated version see https://github.com/jsdf/react-native-refreshable-listview

var React = require('react-native')
var {
  ListView,
  ActivityIndicatorIOS,
  StyleSheet,
  View,
  Text,
} = React

kamituel

let app = DOMApplicationRegistry.getAppByManifestURL(manifestURL);
if (!app) {
  // handle
}

let appDir = FileUtils.getDir("coreAppsDir", ["webapps", app.id], false);
let appPackage = appDir.clone();
appPackage.append("application.zip");

let zipReader = Cc["@mozilla.org/libjar/zip-reader;1"]

kamituel

Cu.import("resource://gre/modules/FileUtils.jsm");

XPCOMUtils.defineLazyModuleGetter(this, "NetUtil",
                                  "resource://gre/modules/NetUtil.jsm");   

let app = DOMApplicationRegistry.getAppByManifestURL(manifestURL);
if (!app) {
  // handle
}