reduce num samples, start README
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README.md
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README.md
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# Squiggle.c
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## Why C?
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- Because it is fast
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- Because it can be made faster if need be, e.g., with a multi-threading library like OpenMP
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- Because if you can implement something in C, you can implement it anywhere else
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- Because it will last long
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- Because the language is honest
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- Because I enjoy it
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## To do list
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- [ ] Have some more complicated & realistic example
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- [ ] Add summarization functions, like mean, std, 90% ci (or all c.i.?)
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- [ ] Add README
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- Schema: a function which takes a sample and manipulates it,
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- and at the end, an array of samples.
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- Explain boxes
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- Explain individual examples
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- Explain nested functions
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- [ ] Publish online
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## Done
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- [x] Add example for only one sample
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- [x] Add example for many samples
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- ~~[ ] Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~
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- [x] Use gcc extension to define functions nested inside main.
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- [x] Chain various mixture functions
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- [x] Add beta distribution
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- See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method.
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- ~~[-] Use OpenMP for acceleration~~
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- [x] Add function to get sample when given a cdf
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- [x] Don't have a single header file.
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- [x] Structure project a bit better
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#include <stdlib.h>
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#include <time.h>
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#define NUM_SAMPLES 1000000
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#define NUM_SAMPLES 10000
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// Example cdf
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float cdf_uniform_0_1(float x)
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#include <stdlib.h>
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#include <time.h>
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#define NUM_SAMPLES 1000000
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#define NUM_SAMPLES 10000
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#define STOP_BETA 1.0e-8
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#define TINY_BETA 1.0e-30
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# make run
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# Compiler
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CC=gcc # required for nested functions
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# CC=gcc # required for nested functions
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# CC=tcc # <= faster compilation
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# Main file
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#define EXIT_ON_ERROR 0
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#define MAX_ERROR_LENGTH 500
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#define PROCESS_ERROR(...) \
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16
to-do.md
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to-do.md
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@ -1,16 +0,0 @@
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- [x] Add example for only one sample
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- [x] Add example for many samples
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- ~~[ ] Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~
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- [x] Use gcc extension to define functions nested inside main.
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- [x] Chain various mixture functions
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- [ ] Have some more complicated & realistic example
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- [ ] Add summarization functions, like mean, std, 90% ci (or all c.i.?)
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- [x] Add beta distribution
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- See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method.
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- [ ] Use OpenMP for acceleration
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- [x] Add function to get sample when given a cdf
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- [ ] Don't have a single header file.
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- [ ] Structure project a bit better
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- [ ] Add README
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- [ ] Publish
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