Showing posts with label Kolmogorov Style. Show all posts
Showing posts with label Kolmogorov Style. Show all posts

Sunday, 23 February 2020

The Cacophony Index

Can we estimate the health of an ecosystem from a digital audio recording?
(Part 2 in a series about Artificial Intelligence and New Zealand native birds.)


Inside a computer, 20 seconds of audio are represented by a sequence of 320,000 numbers.
20 seconds of audio, plotted as a waveform
Our challenge is to take that series of 320,000 numbers and extract one single number, a "Cacophony Index", that has some special properties:
  • Birds nearby and birds far away increase the Index about the same.
  • Background noises don't affect the Index very much.
  • The Cacophony Index for two sparrows chirping should be higher than if there's only one.
  • The Cacophony Index for a sparrow chirping and an owl hooting should be higher than for two sparrows chirping.

Wow, that’s a really hard thing to do! As happens often in this blog, we'll make the problem easier by adding in some assumptions:
 "Perfect is the enemy of good" - Voltaire

Are we justified in making all these assumptions?

 ...Well, no...
...but...         
... let's do it anyway.

Lets build something useful instead of freaking out that a perfect solution can't exist.

That means we're going to just ignore a whole bunch of nasty complications like “clipping”, “nyquist rate”, “attenuation”, “noise floor”, etc


Because PROGRESS!
  • Most of the loud noises in the recordings are birds, not people or cars or machines.
  • The recording is “clean”
  • The birds and the recorder stay in the same place.
  • No running water or ocean waves (!)
  • The recording was taken in New Zealand (!!)


Great stuff! Lets look at the spectrogram:

The spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time. 

We don’t care so much about the intensity of any given bird call, that mostly tells us how near or far the bird is.

We don’t care so much if the bird has a short call or a long call.

Background noise? That’s where the spectrogram is well.. noisy..
Count the number of times a yellow box is next to a blue box!
That's the heart of the Cacophony Index calculation.

What we’re really looking for is how the spectrogram changes over time.

Lets zoom in on that starting second and add a grid to isolate the signal in both time and frequency:

A little bit more math and we find the cacophony index for this particular audio recording is: 77

OK, you got me, I'm oversimplifying again!  ¯\_(ツ)\_/¯ If you want all the gory details, the code is on github.com


Lets talk Birds!

The Cacophony Index for 20 seconds of audio is just a number between zero and one hundred. By itself, not super useful.

If we make many recordings in the same location, we can plot how the Cacophony Index changes over time.  Here's one possible presentation of what that might look like over the course of a day:

You can clearly see the birds are more active during the day and less active during the night. The birds getting really noisy around sunrise and sunset, the "Dawn Chorus".

Even though the plot is a mock-up, the data is real. It's data from a real bird monitor, recorded near Christchurch, New Zealand over a three week period in November of 2019. We now have the technology to see how the Cacophony Index changes over a day, or a week, or even seasons, years or decades.

And that's exactly what the Cacophony Project are doing, using real audio recorded right here in New Zealand, uploaded continuously and automatically by people just like you! (Edit: Live! Check it out!)

I think that's awesome. Can we go deeper?

Now we have an automated way to track an ecosystem's health, what else can we do with the audio data?

Watch this space for an update using real AI using Tensorflow and some real world ethical problems.

Thursday, 10 May 2018

Duplex


Duplex. That’s the technology at Google I/O 2018 where an AI agent can use the existing telephone network to call a restaurant, book a table for 4 at 7pm, and adapt to common problems.

Things get more interesting when the restaurant runs a similar service. AI talking to AI.

Whenever two learning AI’s get together, every single time, they develop a new language. One that us humans can’t understand.

I can imagine the following “conversation”: Alice, a digital assistant, is calling Bob, an AI agent for the restaurant.

  Alice and Bob together: Hi

  Alice: Umm, er, hmmm, yes?

  Bob: Table confirmed, 4 people, tonight at 7pm.

  Alice and Bob together: Bye

Lets slow that recording down and play it back again, annotated this time:

  Alice and Bob together: Hi
       Handshake protocol, are we both digital software? Yes we are.

  Alice: Umm, er, hmmm, yes?
       Translation: I’d like to book a table for 4 people anytime between 6pm and 9pm

  Bob: Table confirmed, 4 people, tonight at 7pm.
       Lets repeat everything for the recording the humans will review.

  Alice and Bob together: Bye
       Handshake protocol, confirm booking.


Are there new words the AI can teach us? More efficient grammatical structures? Can the AI teach us humans to communicate more effectively?

If there is, the AI won’t tell us.

Unless we know how to ask.

Thursday, 26 November 2015

The Cap Theorem and Quantum Gravity

Apologies in advance, this post is both extremely technical in multiple fields, and woefully incomplete, and not nearly as humorous as it ought to be. Dragons be here. I'm incredibly sorry.

CAP Theorem for distributed systems


Brewer's CAP Theorem tells us that every distributed computer system must sacrifice at least one of these properties:
  • C: Consistency
  • A: Availability
  • P: Partition Tolerance.
Astonishingly, if we view the universe as a distributed system, then Quantum Field Theory appears to have (analogues of) each of the three properties from the CAP theorem. But at what cost? Paradoxes. So many paradoxes. The double slit experiment, the twin paradox, the EPR “spooky action at a distance” paradox. Many many more. What if QFT adds to the CAP theorem a fourth property we could sacrifice:
  • C: Consistency
  • A: Availability
  • P: Partition Tolerance
  • T: Time Never Flows Backwards (!!!)

One Million Boulders


Lets look at that last one, Time Never Flows Backwards. Suppose, inside a computer, we're trying to simulate one million boulders rolling down a mountain side. At every time step, we need to generate all the potential collisions between those million boulders, and then process them in the order in which the collision occurs. You're familiar with Newton's cradle? Every one of those collisions can change the magnitude, and order, of any subsequent collision. And worse, round-off error when dicing the time steps means that a collision over *here* can affect a collision over *there*.

(All the gory details can be found here.)

Starting to sound a little bit like quantum dynamics right?

So how do we solve it efficiently? By briefly reversing the arrow of time. We find all the collisions between those boulders in a given timestep, then, optimistically, we solve each boulder independently (“in parallel”) based on it's known potential collisions, as if the order of collisions didn't matter. Then we do a “Fix-Up” phase where we wind the time step backwards and correct any of the boulders where (A) the collision order was incorrect, and (B) the energy of the correction is above a certain tolerance. (In practice the tolerance is very small, this tolerance only serves to prevent certain pathological worst-cases)

Starting to sound a *lot* like quantum dynamics...

Spinfoam

So imagine the spinfoam. In my mind, I visualize it something like this:

Spinfoam sketch, incomplete


In Quantum Chromo Dynamics terms, every face you can see is “Colourless” = (Red + Green + Blue == Red + Red + AntiRed + Green + Blue). In this diagram, the past is down. It's the rigid fixed lattice and appears unchangable. The future is a soup of these faces to the top of the diagram, and the “present” is the coalescing region where the mobile soup phase-transitions into a fixed lattice. Naturally, each edge is the Planck length, equivalently Plank time.
You can even see what we'd call a 'particle', maybe an electron or a neutrino, zipping along at close to the speed of light. In the spinfoam, it appears as a disturbance in the otherwise orderly lattice.

  • <technical> In this diagram, the colours satisfy the Pauli exclusion principle. To represent bosons, simply write integer values at every vertex, and require every cycle-over-edges to sum to zero.
  • This 2D diagram with vertices, edges and faces represents {1xspace+1xtime} dimensions. If we axiomatically accept the Holographic Principle, then it might be possible to represent {3xspace+1xtime} dimensions using only vertices, edges, faces and solids.</technical>
Notice too that, at least in the bottom of the diagram (“past”), the laws of physics are symmetric, and invariant under rotations through both time and space. Despite this local invariance, the time dimension can still be identified by it's global properties. The arrow of time, entropy etc, really does exist and has physical meaning.

Mass

What would happen if we tried to simulate this spinfoam in a computer? Well, most obvious to me, is that 'time' in the simulation does not correlate with the amount of computation required to run the simulation. Indeed, the computation required to run the simulation depends primarily on the search activity to coalesce the soup, and it should be easy to find a computation model where that search activity has a cost that matches Einstein's General Theory of Relativity. i.e. the curvature of a region of space is related to the amount of mass in that region, G = m . r-2

Speed

Now lets take that simulation, and instead of running it on one single computer, we instead run it on a distributed computer system. Suddenly, the CAP theorem applies, and our simulation must sacrifice C, or A, or P.... or.... or..... or... T? What if we could sometimes run our simulation backwards just for a moment, the same as we did when "Fixing up" the simulate of those million boulders. When something doesn't fit, just for a little bit, we'd dissolve that fixed lattice of the past and turn it back into the mobile soup of the future, then reform the lattice into a consistent whole.
From inside the simulation, we'd never be able to send information back into the past (That would be a C violation!), and yet we'd still get “spooky action at a distance” and all those other paradoxes.
But at what cost? Well, surprisingly, only a performance hit. Again, it should be easy to find a model of distributed computation overhead where this performance hit is in exact agreement with Einstein's *Special* Theory of Relativity. Specifically, it's the Lorentz Transform, γ = 1 / sqrt(1-v2.c-2)

Intermission

Okay, big deep breath. The plot-twist is coming up soon. Brace yourself.

String Theory (Science Fiction)


Almost everything I've written above isn't new or novel. It's just a rehash of various discarded String-Theory ideas from the 90s, but with different names and labels. From an experimentalist physicists point of view, String Theory is just not that interesting. In terms of knowing more about the universe we live in, String Theory is pretty much at a dead end. Why? Because it's not *testable*. We can't devise an experiment in the lab to determine if any one of the thousands of competing String Theories makes predictions which match our unique reality. If your theory isn't testable, if there's no way to determine if you theory approximates our universe better than the alternatives, then that's not "Science" with a capital 'S', it's more like Science Fiction with a whole lot more math.

Plot Twist


So here's the plot-twist: CAP Theorem + QFT is testable.
Here's how: Take that exact same familiar double slit experiment we all faithfully reproduced when we first found out about Quantum Mechanics.


  • Setup-1: Use one slit, fire the wave/particle, measure the diffraction. (Gaussian)
  • Setup-2: Use two slits, fire the wave/particle, measure the diffraction. (Interference pattern)

Now, if we compare Setup-1 with Setup-2, if CAP + QFT is true, then Setup-2 will suffer a tiny time-dilation associated with resolving the CAP constraints. If CAP+QFT is true, we could toggle between Setup-1 and Setup-2 and measure the tiny difference in time dilation.

How tiny? So tiny no-one has ever noticed it before.

...so tiny, it would be much much smaller than the time-dilation associated with the mass of the photon itself.

......so tiny, but, at least in theory, so measurable.

What happens if we go into the lab and measure the time dilation difference between Setup-1 and Setup-2, and that difference turns out to be non-zero?

Quantum Gravity and Friends.


So yeah, that's a testable theory of quantum gravity. It neatly explains why gravity is so weak compared with the other forces (aka the Hierarchy problem), and dramatically simplifies the particle zoo.

Furthermore, this theorem is fully consistent with the Copenhagen Interpretation, and even builds on it! By contrast, In this formulation, the many-worlds alternative, however appears to have a vanishingly strict interpretation.

Black holes? Yip.. (I'll let you puzzle that one through, it's actually quite cute :) Naked singularities? Nope.

It neatly explains the uncertainty principle. It's truly a quantum theory from the get-go. The randomness is real ("no hidden variables"), it's even required, but it's certainly not arbitrary or capricious.

All those crazy dimensions from String Theory? Oh yeah, the dimensionality is there, but they're no longer spatial in nature, they're more like properties stacked on the spinfoam.

There's even some tantalising hints on the nature of dark matter and dark energy and inflation in the early universe..

Anyways, I've probably said way too much, as always, if you have any questions, queries or opinions, please let me know in the comments section below!



Saturday, 17 January 2015

Whitespace, you're doing it wrong.

What if there was a scientific, objective way to format the whitespace in your current programming language?

Received wisdom tells us that choice of formatting styles is a purely subjective choice. The same as choosing a coffee blend, or finding the best way to paint your bikeshed.

What if they lied?

What if it was indeed possible to develop a framework to measure, compare and contrast formatting styles in a rational, objective way by applying the Scientific Methodtm?

As a community, we could then migrate towards a formatting style based on a series of measurable scientific tests, such that every competent programmer would agree on the outcome, even when that outcome differed from their own personal preference.

We might even then invoke Stigler's law and name such a formatting style “The Kolmogorov Style” for formatting programming languages.

What would you do if your favourite subjective choice turned out to be different from the Kolmogorov Style? What would you be forced to do, if I could scientifically prove that your whitespace choices, what you thought was your subjective preference, was objectively wrong?

Read on if you're genuinely brave enough to challenge your preconceptions...

TRIGGER WARNINGS : Unicode, indentation, tabs, newlines, braces, Kolmogorov complexity

Warning : This post requires unicode to read correctly.  If your browser does not support unicode, please stop reading now.


  • Note 1 : This blogpost will be continuously updated in response to reader feedback.  Because Peer Review.
  • Note 2 : Formatting conventions and other terminology follow wikipedia.
  • Note 3 : I'm using C/C++ merely for convenience here. Obviously this extends to other (programming) languages in a natural way.
  • Note 4 : It seems some brave souls are actually attempting research of this sort : http://ppig.org/sites/default/files/2015-PPIG-26th-Sarkar.pdf Way to go guys!

Existence proof

This is going to take a little bit of work, so I'm going to proceed in stages.

First up, I'm going to construct what theoretical mathematicians call an 'existence proof'. That's a standalone proof where I show it is possible to find an objective test of a formatting style, such that 100% of programmers will reach the same conclusion. The objective test won't be convincing! It's not intended to be convincing. The point of this section merely illustrates that it is possible to construct at least one objective test to make a decision between alternative formatting options.  Only once we have our existence proof, will we be able start our search for the best objective tests to use.

As a pure hypothetical for this section, suppose we're starting a completely new project, purely for our own personal enjoyment, and we're trying to decide if we should indent using the TAB character, or indent using 4xSPACE.

For our objective metric, we will measure the disk space required to store the code, with smaller being better.

We know that the TAB character ('\t') is 1 byte, and 4xSPACE, ('    ') takes up 4 bytes.

Now, here's the part where I apply the scientific method! I select a representative source file from my hard drive, and prepare two versions, one with TAB indentation, and one with 4xSPACE indentation.

This particular file happened to have 2654 tabs, so we can cross-check :

RandomCPPFileTAB.cpp : 30,430 bytes
RandomCPPFile4xSPACE.cpp : 38,392 bytes

The results of my experiment showed the 4xSPACE version of this file is 26% larger than the TAB version.

I urge you to apply the scientific method and actually perform this experiment to determine if it is repeatable!

Extrapolating from this single data point(!), we expect that source files which use 4xSPACE would, on average, take up a larger amount of disk space, somewhere in the ballpark of 20% - 30% more.

Any competent C++ programmer can follow this chain of reasoning and agree that C++ files which use 4xSPACE are never smaller than the equivalent TAB version.

Crucially, my claim is that everybody who competently performs this particular objective test will obtain this same result (TAB beats 4xSPACE), even if they personally prefer 4xSPACE over TAB.

Now, before y'all start complaining that I chose an unfair metric, let me just repeat : This is an existence proof.

The entire point of this section is to establish the following hypothesis : “There exists at least one objective test which can be used to make a decision between alternative formatting options.”

Just to be 100% crystal clear, I'm not claiming this isolated test is sufficient for anyone to change spaces to tabs or vice versa!  

The only point that I've proved is that it is possible for at least one objective test for whitespace stylistic concerns to actually exist, and therefore, by extension, it is meaningful to look for more.

(However, I feel obliged to point out that Kolmogorov Style does indeed use tabs instead of spaces for the C++ language. I certainly haven't proved it...  But I think I can illustrate the fact by issuing the following challenge: If there exists even one objective scientific test against (i.e. 100% of competent C++ programmers would complete the test and choose 4xSPACE over TAB) then please post such a test in the comments below. I'll be sure to update this post if an objective scientific test does exist.)


Another example, Find in Files, :lgrep, Find in Workspace, M-x rgrep 

Here's another motivating example, again purely for illustrative purposes.  It's not intended to be convincing, the goal is simply to illustrate that it is possible to construct objective tests where 100% of competent programmers will reach the same conclusion about a formatting style, even if their personal preference is different.

Again, pure hypothetical, entirely new project, we're trying to decide between two ways to format a C++ class declarations:

class Allman
:
public Style
{
//...
};


class Stroustrup : public Style {
//...
};


Every programming environment provides some facility for matching lines within a codebase, so our objective test will be : Which formatting style gives us more information about the class hierarchy, as a result of performing 'grep class *.h'. (i.e. Look in all files which have a .h suffix, and print out any line which contain the string 'class')


Here's what the output might looks with the Allman style:

class Adams
class Jackson
class Garbo
class Greta
class Douglas
class Michael1
class Michael2
class Jackie
class Kennedy
class Sam

And the same code, formatted with Stroustrup style:

class Adams {
class Jackson {
class Garbo {
class Greta : private Garbo {
class Douglas {
class Michael1 : public Douglas {
class Michael2 : private Jackson {
class Jackie : public Kennedy, private Onassis {
class Kennedy {
class Sam : public Adams {

On this particular objective test, I claim that every competent C++ programmer will agree that the Stroustrup style gives more information, even if they personally prefer to use the Allman style.

Once again, if you're at all interested in the scientific method and have access to a C++ codebase, please do a 'find-in-files' or similar. Are you satisfied with the results? Would you have more or less information if your codebase was Allman/Stroustrup style? Please post your results below, especially if they are different!!








We're starting to get closer.  We now have two examples of objective tests, and maybe we can even start to see a trend (remove redundant encodings).

We're also beginning to suspect there's probably many families of objective tests, and almost all of them are contradictory.

Take the famous painting the bikeshed problem, how many coats of paint should we use?

  • Clearly 2 coats are objectively better than 1, because durability!
  • Clearly 2 coats are objectively worse than 1, because cost!

Suddenly our objective tests are starting to look awfully subjective - given a universe of objective tests, how do we choose which are the best objective tests to apply?

To answer that, I'm going to need to introduce “Coding Atoms”.

Introducing Coding Atoms

Atom – indivisible
The smallest, indivisible constituent part or unit of something.
from Ancient Greek ἄτομος (átomos, “indivisible”)




Allow me to introduce a simple C++ coding atom:
✔ int

Just like in physics, we can look inside that 'atom', and see that it has 3 component parts, 'i', 'n', and 't'.

Let's look at the 6 possible permutations of those three parts, and verify that only one of them is valid C++:

✔ int 
✗ itn 
✗ nit 
✗ nti 
✗ tin
✗ tni

Here's another way of probing our atom, we'll insert a pair of brackets and confirm that only when the “i”, “n” and “t” are adjacent do we have valid C++.
✔ ()int
✗ (i)nt 
✗ (in)t
✔ (int)
✗ i()nt
✗ i(n)t
✗ i(nt)
✗ in()t
✗ in(t)
✔ int()


The component parts of “int” are fused together in a special kind of way, we can't tear them apart, or insert things, or rearrange them and still have a meaningful C++ program.

That's what I'm talking about, when I use the term “coding atom”.



Coding Atoms : Variable Declarations

Allow me to present another atom, a variable declaration using the Resource Acquisition Is Initialization (RAII) principle:

✔ int adams = 42;

Or if we substitute {■ : adams, □ : 42}, we can rewrite our atom like this :

✔ int ■ = □;

Let's try permuting:
✔ int ■ = □;
✗ int ◻ = ■;
✗ ■ = int ◻;
✗ ; ■ int = ◻
✗ ■ int; = ◻

And inserting brackets:
✔ int ■ = (□);
✗ (int ■) = ◻;
✗ (int ■) = ◻;
✗ int (■ = ◻);

In the same way that 'int' is a coding atom, this declaration is 'fused' together. We can't insert or rearrange into it and still have a meaningful C++ program.


Look what happens when we break RAII and split our atom across two lines:

✔ int ■;
✔ ■ = □;

And permute:

✗ ■ = □;
int ■;

Or insert a pair of braces:

{
int ■;
}
✗ ■ = □;

Compiler errors for everyone!


OK, lets try two atoms, this time with comments

✔ int ▲ = △; // triangle
✔ int ■ = □; // square

Permuting and everything is awesome:

✔ int ■ = □; // square
✔ int ▲ = △; // triangle

Rock on! Now braces! All good!

✔ int ▲ = △; // triangle
✔ {
✔ int ■ = □; // square
✔ }

But what if we split the atoms and try to write our comments like this.. maybe that's okay? :

✔ // triangle
✔ int ▲ = △;
✔ // square
✔ int ■ = □;

Permuting, perhaps as a result of sorting the lines alphabetically :

✔ // triangle
✔ // square
✔ int ■ = □;
✔ int ▲ = △;

Whoa, what just happened?!?! Did you just feel the cabin pressure drop? We've produced valid C++ code that compiles just fine, passes all our unit tests, and runs correctly … but our comments are disconnected from their roots and have become actively harmful to our understanding of the code.

These are some of the longest lived families of software defects – the ones where the executable isn't affected and our automatic tools don't notify us when a new problem has been created. This only happened because we allowed a newline to be inside our coding atom.

I know what you're thinking.. “Such a silly mistake would never make it into shipping code”.  Well, anecdotally, in the short time since preparing this blogpost as a draft and actually posting it, I've located and repaired defects of exactly this type (on a live production codebase) on at least 4 occasions.

The take home for this section is : At least on this somewhat contrived example (the “reducing defects as a result of random line permutations of variable declarations” test), every single programmer, regardless of their own personal variable declaration preference, who competently performs this experiment, will agree that the best way to declare a variable is with everything on the same line. i.e.:

✔ int ▲ = △; // triangle



Coding Atoms : Mandatory Braces


You're not going to like this one. Not one bit.

Here's the coding atom for an if statement.

✔ if(●){
✔ ◎
✔ }

What happens if we don't use braces at all?

✔ if(●)
✗ ◎

Disaster! Our ◎ atom has been torn apart!  Observe:

#define ◎ print(“Hello,  World“); log(“Hello, Log”); 

As a consequence of not using braces, we've opened ourselves to the possibility of splitting an atom and introducing bugs.  I'll formalise this principle more fully in just a moment.  But for right now, I'm just going to blurt out:

For any given pair of C++ formatting styles which differ only in their usage of mandatory braces, the style using mandatory braces will be objectively better.


(Oh, you think I'm wrong on this one? First, go read about the gotofail bug  Once you think you've understood that, let me know why you think $X is more important that having your code run correctly.)

Anyway, lets press forward!  There's an alternate way of formatting conditionals, where the opening brace occurs on a different line from the conditional.  I'll come back to the problems with this example very shortly, but for now, I just want to identify the coding atom and move forward.

✔ if(●)
✔ {
✔ ◎
✔ }


Coding Atoms (part 3)

Here's a short list of some of the frequently encountered (C++) coding atoms:

▵;//comment
int ▵=▵;
if(▵){▵}
while(▵){▵}
for(▵;▵;▵){▵}
class ▵:public ▵{▵};
int ▵(▵,▵,▵,...)const;


Hypothesis Time


So at this point, we hopefully have an intuitive feel for what a coding atom is (you can't split it up), and we have two examples of an objective test (100% of competent programmers reach the same conclusion, regardless of their personal preference) for formatting.

Allow my to present my central hypothesis:

Central Hypothesis:
For any given pair of formatting styles,
which differ only on the relative placement between the conditional and opening brace, 
the style where they are on the same line will be objectively better.

If we could prove this hypothesis, with just a little bit of imagination, we could use it to predict that the single-line family of styles (Stroustrup, BSD KNF, Lisp style, Ratliff, K&R, 1TBS) are objectively better than the multi-line variants (Kernel style, K&R style, Allman style, Whitesmiths, GNU style, Horstmann)

Edit: An earlier version of this blog used 'Theorem' instead of 'Hypothesis' in this section.  My apologies for any confusion this may have caused.

I suspect an actual proof for this hypothesis would make use of the following two observations :

Line-based world


We live in a line-based ecosystem. Find-In-Files, line numbers, the #line directive.  In unixland, we have grep, sort, uniq etc.

In this section I'm going to use 'git' as an example of a source code control system, but the same principle applies to perforce, mercurial, subversion, cvs etc ad infinitum

Here's an actual real world diff from my local repository :

diff --git a/Source/Base/Optimize.cpp b/Source/Base/Optimize.cpp
index d827540..7cd13b5 100644
--- a/Source/Base/Optimize.cpp
+++ b/Source/Base/Optimize.cpp
@@ -258,6 +258,8 @@ void SWOptimize::FindMinimumBFGS(){
                                }
                        }
                }
-//             swlog(SWRoleMin,"iter=%d\n",iter);
+               if(Verbosity>1){
+                       swlog(SWRoleMin,"BFGS iter=%d\n",iter);
+               }
                CalcNumericJacobian(&jacobian);

There's nothing surprising about this, one line was deleted and 3 lines were added.  That's how diffs work. There's nothing special about the choice of git here either.

Diffs are one thing. What happens when we merge?

Earlier, we looked at an objective test that took of the somewhat arbitrary form “reducing defects as a result of random line permutations”.  Well it turns out, when we merge, that's exactly what is happening. We take two sets of line based changes (Adds and Removes) and we try to apply them both at the same time.

A pecking order for Merge Problems.


Suppose we're trying to merge two diffs. There's a number of outcomes that could happen, from best case to worst case, they are:

✔✔ Automatic merge succeeds, code compiles, all tests pass! everything works! Success!
✗ Automatic merge fails, manual fix.
✔✗ Automatic merge succeeds, code doesn't compile, manual fix.
✔✗✗✗ Automatic merge succeeds, code compiles, some tests fail, lengthy manual fix.
✔✔✗✗✗✗✗✗ Automatic merge succeeds, code compiles, all tests pass! dormant bug enters the system.

That last outcome is particularly insidious.  Your tools told you everything was fine, but they secretly created a bug.
Lets take a look at our '4-line if' statement, with the conditional and opening brace on separate lines:
✔ if(●)
✔ {
✔ ◎
✔ }

You see where this is going right? That newline between the conditional and the opening brace?  That's exactly the place where our merge tool will happily go ahead and insert new code.
✔ if(●)
! ▦
✔ {
! ◎
✔ }

This is just horrible.  The merge reported success and our code compiles just fine – yet the bug exists!  We're down to our last lines of defence now such as unit tests and peer review.  If they fail to detect the problem, then we're silently putting bugs into our codebase, purely as a consequence of our C++ formatting style.

How often does this happen? When I've been working in active codebases that use this style, I probably see this type of “successful” merge at least once or twice per week. It takes time to clean up, and with any change, there's always the chance of making mistakes and introducing more problems.

Let's put this in context. Suppose github or bitbucket randomly inserted bugs into your code, but didn't notify you. Or if your IDE would occasionally insert extra characters into the middle of your file, and save it, and not tell you about it. Even if it was just once or twice a year per user, wouldn't you try hard to find some way to fix it?

Summary

Lets review:


  • I gave an existence proof, a simple objective test that every competent programmer can perform and get the same answer, even when it conflicts with their own personal opinion.


  • I highlighted coding atoms, and demonstrated why we should try hard to stop them spanning multiple lines.

So did I do it? Describe Kolmogorov Style, a profoundly new way of formatting programming languages, in a way that everyone can objectively agree on?  Well of course not! Such a thing can't be done in just one tiny blogpost.

Instead, I managed to show that it is most likely possible to construct such a formatting style, and gave some hints in the direction I think that such a style might look like.

Keep in mind, even if such a style were to be fully enumerated and justified, there would still be many excellent reasons not to follow it. Maintaining consistency for one. Retraining for another. The existence of an objective standard does not require us to ignore subjective factors.

However, if this is you:

  • Starting a new project.
  • Preparing your team's coding standard for the first time.
  • Developing the presentation layer of a text editor.
  • Creating the syntax for a new programming language. (Especially this one!)
Then I strongly suggest you take the time to understand the principles embodied in this post :

  • Reduce redundant encoding.
  • Don't split atoms across multiple lines.
  • Convert optional syntax to mandatory.


Appendix A: Aesthetics? They matter right?

Absolutely! Whitespace is integral to the appearance of code when displayed on a computer monitor. It's fundamental to readability to have adequate white space around your code. I think it's a great thing to be able to isolate individual elements and examine them!

We need familiar whitespace because we're all pattern matching machines.

But the thing is, code doesn't live on computer monitors.

As I write this in 2015, the vast bulk of code lives in source code repositories. It's a collection of disembodied diffs and their associated merge histories.

We take a snapshot of that repository at an arbitrary moment in time and use that to construct a bytestream on our hard disk.

No one is asking you to interpret that raw bytestream directly. All of us use integrated programming environments, built on top of a graphical windowing system, which reformats that bytestream into an aesthetically pleasing onscreen presentation.

Take this bytestream : “””for(int i=0;i<10;i++){\n\tprintf("%d",i);\n}\n”””

Here's just a sampling of 3 different ways you might convert that byte stream into pixels:







Look, I don't care if your IDE uses proportional fonts, or monospace fonts, or wingdings or braille.  I don't care about your color scheme, your choice of syntax highlighting, your latest emacs macro, oh-my-zsh github, which scrolling plugins you've got installed, or which keys on your DVORAK keyboard binds to autocomplete. #YOLO.

But here's the rub. All of those choices are local to your machine. None of your local choices can leak on to our team's shared perforce depot. None of your local configurations choices alter the bytestream that exists on my computer in any way.

Of course aesthetics matter to programmers.  But don't let that blind you to the reality that any aesthetic quality of your whitespace doesn't matter in the slightest to your compiler, continuous integration server, merge utility, source code repository, build server...

...and especially not to the users of your software.

My problem is that your subjective notions about aesthetics open the possibility for software defects to creep in.

To use a bad analogy:

You're trying to make the blueprints more pretty by drilling holes in the life raft.
(The users won't notice the water coming in until it's too late.)


Appendix B: Some common objections (FAQ style)


Q) Why don't we get a bunch of programmers, randomize formatting styles, and measure how long it takes them to identify software defects?
A) Great idea! That's an excellent procedure for choosing presentation defaults for an IDE! On the other hand, when choosing a formatting style for transporting code between programmers, it makes more sense to use a style which is friendlier to automated tools and reduces the incidence of hidden software defects.

Q) Our ten million line code base already uses ABC style. Should we convert everything to QRS style?
A) Are you crazy? Every change has a cost, consistency has value! Stick with ABC style!!!
However, for any new code, and for any incremental changes you make to existing code, I strongly advise you to adopt the following two guidelines:

  • Where braces are optional in your language ( if, while, do, ), make the usage of braces be mandatory.
  • int raii = 7; // Declare a single variable, initialize it once, (add an optional comment), all self-contained on one line.