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// How to use:
//   1. In VS Code, perform a search.
//   2. Click "Open in editor" to open the search results in a `.code-search` file
//   3. Save the file
//   4. In terminal, run `node export-vscode-search-to-csv.js path/to/results.code-search path/to/exported.csv`

const fs = require("fs");
const path = require("path");
const readline = require("readline");

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package enum_example

import (
	"bytes"
	"encoding/json"
)

// TaskState represents the state of task, moving through Created, Running then Finished or Errorred
type TaskState int

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"""
Copyright (c) 2008-2009, Nathan Borror
All rights reserved.
 
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
 
Redistributions of source code must retain the above copyright notice, this list
of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this

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[elasticsearch-7.x]
name=Elasticsearch repository for 7.x packages
baseurl=https://artifacts.elastic.co/packages/7.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md

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import pandas as pd
import locale
from locale import atof

df = pd.DataFrame([['1,200', '4,200'], ['7,000', '-0.03'], ['5', '0']])
#        0      1
# 0  1,200  4,200
# 1  7,000  -0.03
# 2      5      0
locale.setlocale(locale.LC_NUMERIC, '')

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What is this?

Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask

Prerequisites

If you already have Java installed on your system, skip steps Install Cask and Install Java

If you already have Java and Homebrew installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update

Install Homebrew

• $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

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// FROM: http://www.mongodb.org/display/DOCS/Updating#Updating-update%28%29
// 
// db.collection.update( criteria, objNew, upsert, multi )
//   criteria - query which selects the record to update;
//   objNew - updated object or $ operators (e.g., $inc) which manipulate the object
//   upsert - if this should be an "upsert"; that is, if the record does not exist, insert it
//   multi - if all documents matching criteria should be updated
//
// SQL VERSION: 
// UPDATE myTable SET dateField = '2011-01-01' WHERE condField = 'condValue'

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try {
  // get transaction
  const transaction = await sequelize.transaction();

  // step 1
  await Model.destroy({where: {id}}, {transaction});

  // step 2
  await Model.create({}, {transaction});

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 http {
    proxy_cache_path  /var/cache/nginx levels=1:2 keys_zone=one:8m max_size=3000m inactive=600m;
    proxy_temp_path /var/tmp;
    include       mime.types;
    default_type  application/octet-stream;
    sendfile        on;
    keepalive_timeout  65;

    gzip on;
    gzip_comp_level 6;

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 http {
    proxy_cache_path  /var/cache/nginx levels=1:2 keys_zone=one:8m max_size=3000m inactive=600m;
    proxy_temp_path /var/tmp;
    include       mime.types;
    default_type  application/octet-stream;
    sendfile        on;
    keepalive_timeout  65;

    gzip on;
    gzip_comp_level 6;