From currying to closures there are quite a number of special words used in JavaScript. These will not only help you increase your vocabulary but also better understand JavaScript. Special terms are normally found in documentation and technical articles. But some of them like closures are pretty standard things to know about. Knowing what the word itself means can help you know the concept it's named for better.
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import java.util.*; | |
import java.io.*; | |
import java.security.*; | |
public class ChangePassword | |
{ | |
private final static JKS j = new JKS(); | |
public static void main(String[] args) throws Exception | |
{ |
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/* | |
* System Versioning Preprocessor Macros | |
*/ | |
#define SYSTEM_VERSION_EQUAL_TO(v) ([[[UIDevice currentDevice] systemVersion] compare:v options:NSNumericSearch] == NSOrderedSame) | |
#define SYSTEM_VERSION_GREATER_THAN(v) ([[[UIDevice currentDevice] systemVersion] compare:v options:NSNumericSearch] == NSOrderedDescending) | |
#define SYSTEM_VERSION_GREATER_THAN_OR_EQUAL_TO(v) ([[[UIDevice currentDevice] systemVersion] compare:v options:NSNumericSearch] != NSOrderedAscending) | |
#define SYSTEM_VERSION_LESS_THAN(v) ([[[UIDevice currentDevice] systemVersion] compare:v options:NSNumericSearch] == NSOrderedAscending) | |
#define SYSTEM_VERSION_LESS_THAN_OR_EQUAL_TO(v) ([[[UIDevice currentDevice] systemVersion] compare:v options:NSNumericSearch] != NSOrderedDescending) |
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
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# | |
# Slightly tighter CORS config for nginx | |
# | |
# A modification of https://gist.github.com/1064640/ to include a white-list of URLs | |
# | |
# Despite the W3C guidance suggesting that a list of origins can be passed as part of | |
# Access-Control-Allow-Origin headers, several browsers (well, at least Firefox) | |
# don't seem to play nicely with this. | |
# |
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# This script verifies if a list of "undesired" words are presented in the files you are intended to commit such console | |
# output, debugging information or keys/tokens/passwords | |
# Based on the git hook created by Mark Story | |
# http://mark-story.com/posts/view/using-git-commit-hooks-to-prevent-stupid-mistakes | |
# Instructions: | |
# Put this file into your .git/hooks folder and set as executable (chmod +x pre-commit) |
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import java.io.File; | |
import java.io.IOException; | |
import java.util.ArrayList; | |
import java.util.List; | |
import java.util.Map; | |
import java.util.Random; | |
import java.util.concurrent.Callable; | |
import java.util.concurrent.ExecutionException; | |
import java.util.concurrent.ExecutorService; | |
import java.util.concurrent.Executors; |
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extension NSURL { | |
func getQueryItemValueForKey(key: String) -> String? { | |
guard let components = NSURLComponents(URL: self, resolvingAgainstBaseURL: false) else { | |
return nil | |
} | |
guard let queryItems = components.queryItems else { return nil } | |
return queryItems.filter { | |
$0.name == key | |
}.first?.value |
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trait Generator[+T] { | |
self => | |
def generate: T | |
def map[S](f: T => S): Generator[S] = new Generator[S] { | |
def generate = f.apply(self.generate) | |
} |
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