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[alias]
	a = add
	b = branch
	c = commit
	d = diff
	f = fetch
	g = grep
	l = log
	m = merge
	o = checkout

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# Using tf.estimator without keras

session_config = tf.ConfigProto()
session_config.gpu_options.allow_growth=True
run_config = tf.estimator.RunConfig(session_config=session_config)
classifier = tf.estimator.Estimator(model_fn=..., config=run_config)

# Using any keras

session_config = tf.ConfigProto()

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#import <UIKit/UIKit.h>

@interface UIImage (SDWebImageAnimatedGifSwizzle)

@end

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#import <CoreLocation/CoreLocation.h>
#import <ImageIO/ImageIO.h>

@interface CLLocation (EXIFGPS)

- (NSDictionary*) EXIFMetadataWithHeading:(CLHeading*)heading;

@end

@interface NSDate (EXIFGPS)

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// NSArray+BlocksInit.h

- (id) initWithCount:(NSUInteger)count block:(id(^)(NSUInteger index))block
{
    NSMutableArray *array = [[NSMutableArray alloc] init];
    for ( NSUInteger i = 0; i < count; i++ ) {
        id element = block(i);
        if (element) [array addObject:element];
    }
    return [array copy];

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#!/usr/bin/env ruby -w

def map(l,&f) 
  return [] if l.empty?
  return [ f.call(l.first) ].concat map(l.slice(1..l.length), &f)
end

puts map [1,2,3,4] {|x| x+1}
puts map ['a','b','c','d'] {|x| "#{x} is a letter"}