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	* add back exif-terminator and use only for jpeg,png,webp * fix arguments passed to terminateExif() * pull in latest exif-terminator * fix test * update processed img --------- Co-authored-by: tobi <tobi.smethurst@protonmail.com>
		
			
				
	
	
		
			88 lines
		
	
	
	
		
			3.4 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
			
		
		
	
	
			88 lines
		
	
	
	
		
			3.4 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
// Copyright 2017 Google Inc. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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//     http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package s2
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// nthDerivativeCoder provides Nth Derivative Coding.
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//   (In signal processing disciplines, this is known as N-th Delta Coding.)
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//
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// Good for varint coding integer sequences with polynomial trends.
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//
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// Instead of coding a sequence of values directly, code its nth-order discrete
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// derivative.  Overflow in integer addition and subtraction makes this a
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// lossless transform.
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//
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//                                       constant     linear      quadratic
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//                                        trend       trend         trend
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//                                      /        \  /        \  /           \_
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// input                               |0  0  0  0  1  2  3  4  9  16  25  36
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// 0th derivative(identity)            |0  0  0  0  1  2  3  4  9  16  25  36
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// 1st derivative(delta coding)        |   0  0  0  1  1  1  1  5   7   9  11
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// 2nd derivative(linear prediction)   |      0  0  1  0  0  0  4   2   2   2
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//                                      -------------------------------------
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//                                      0  1  2  3  4  5  6  7  8   9  10  11
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//                                                  n in sequence
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//
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// Higher-order codings can break even or be detrimental on other sequences.
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//
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//                                           random            oscillating
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//                                      /               \  /                  \_
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// input                               |5  9  6  1   8  8  2 -2   4  -4   6  -6
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// 0th derivative(identity)            |5  9  6  1   8  8  2 -2   4  -4   6  -6
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// 1st derivative(delta coding)        |   4 -3 -5   7  0 -6 -4   6  -8  10 -12
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// 2nd derivative(linear prediction)   |     -7 -2  12 -7 -6  2  10 -14  18 -22
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//                                      ---------------------------------------
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//                                      0  1  2  3  4   5  6  7   8   9  10  11
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//                                                  n in sequence
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//
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// Note that the nth derivative isn't available until sequence item n.  Earlier
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// values are coded at lower order.  For the above table, read 5 4 -7 -2 12 ...
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type nthDerivativeCoder struct {
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	n, m   int
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	memory [10]int32
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}
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// newNthDerivativeCoder returns a new coder, where n is the derivative order of the encoder (the N in NthDerivative).
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// n must be within [0,10].
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func newNthDerivativeCoder(n int) *nthDerivativeCoder {
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	c := &nthDerivativeCoder{n: n}
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	if n < 0 || n > len(c.memory) {
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		panic("unsupported n. Must be within [0,10].")
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	}
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	return c
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}
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func (c *nthDerivativeCoder) encode(k int32) int32 {
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	for i := 0; i < c.m; i++ {
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		delta := k - c.memory[i]
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		c.memory[i] = k
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		k = delta
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	}
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	if c.m < c.n {
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		c.memory[c.m] = k
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		c.m++
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	}
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	return k
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}
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func (c *nthDerivativeCoder) decode(k int32) int32 {
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	if c.m < c.n {
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		c.m++
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	}
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	for i := c.m - 1; i >= 0; i-- {
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		c.memory[i] += k
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		k = c.memory[i]
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	}
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	return k
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}
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