tweaks.
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README.md
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README.md
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## About
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This repository contains example of very simple code to manipulate samples in various programming languages. As of now, it may be useful for checking the validity of simple estimations.
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This repository contains example of very simple code to manipulate samples in various programming languages. It implements this estimate:
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The title of this repository is a pun on two meanings of "time to": "how much time does it take to do x", and "let's do x".
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```
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p_a = 0.8
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p_b = 0.5
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p_c = p_a * p_b
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dists = [0, 1, 1 to 3, 2 to 10] # each dist represented as 1M samples
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weights = [(1 - p_c), p_c/2, p_c/4, p_c/4 ]
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result = mixture(dists, weights)
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mean(result)
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```
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As of now, it may be useful for checking the validity of simple estimations. The title of this repository is a pun on two meanings of "time to": "how much time does it take to do x", and "let's do x".
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## Current languages
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- [x] Python
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- [x] R
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- [x] Squiggle
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- [x] Javascript (NodeJS)
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- [x] C
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- [x] Javascript (NodeJS)
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- [x] Squiggle
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- [x] R
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- [x] Python
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- [x] Nim
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## Performance table
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| Language | Time |
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|----------------------|-----------|
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| Nim | 0m0.183s |
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| Nim | 0m0.153s |
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| C | 0m0,442s |
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| Node | 0m0,732s |
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| Squiggle | 0m1,536s |
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@ -30,7 +42,7 @@ With the [time](https://man7.org/linux/man-pages/man1/time.1.html) tool, using 1
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I was very surprised that Node/Squiggle code was almost as fast as the raw C code. For the Python code, it's possible that the lack of speed is more a function of me not being as familiar with Python. It's also very possible that the code would run faster with [PyPy](https://doc.pypy.org).
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I was also really happy with trying [Nim](https://nim-lang.org/). The version which beats all others is just the normal usage of Nim, in the "release" compilation mode (the "danger" compilation mode shaves of a few more miliseconds). The Nim version has the particularity that I define the normal function from scratch, using the [Box–Muller transform](https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform#Basic_form). For Nim I also have a version of the code which takes around 4 seconds, where I define some very inefficient sine & logarithm functions to feed into the Box-Muller method, because it felt like fun to really write a botec tool really from scratch.
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I was also really happy with trying [Nim](https://nim-lang.org/). The version which beats all others is just the fastest "danger" compilation of Nim (the "release" compilation is 0m0.183s instead). The Nim version has the particularity that I define the normal function from scratch, using the [Box–Muller transform](https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform#Basic_form). For Nim I also have a version of the code which takes around 4 seconds, where I define some very inefficient sine & logarithm functions to feed into the Box-Muller method, because it felt like fun to really write a botec tool really from scratch.
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## Languages I may add later
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@ -8,5 +8,6 @@ run: samples
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./samples $(VERBOSE)
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examine: samples
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nim c $(VERBOSE) samples.nim && time ./samples $(VERBOSE) && echo
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nim c $(VERBOSE) -d:release samples.nim && time ./samples $(VERBOSE) && echo
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nim c $(VERBOSE) -d:danger samples.nim && time ./samples $(VERBOSE)
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BIN
nim/samples
BIN
nim/samples
Binary file not shown.
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time.txt
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time.txt
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## Nim
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nim c --verbosity:0 -d:release samples.nim && time ./samples --verbosity:0 && echo
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0.8873815480558296
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nim c --verbosity:0 samples.nim && time ./samples --verbosity:0 && echo
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0.8881633539025908
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real 0m0.183s
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user 0m0.150s
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real 0m0.706s
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user 0m0.685s
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sys 0m0.020s
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nim c --verbosity:0 -d:release samples.nim && time ./samples --verbosity:0 && echo
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0.8861663545062978
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real 0m0.184s
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user 0m0.151s
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sys 0m0.032s
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nim c --verbosity:0 -d:danger samples.nim && time ./samples --verbosity:0
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0.8886260086130379
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0.8879220244477399
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real 0m0.157s
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user 0m0.136s
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sys 0m0.020s
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real 0m0.158s
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user 0m0.130s
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sys 0m0.028s
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