Miles Cranmer MilesCranmer

## unique.c
// Count elements of an array by using a lookup table.
#include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
#include <time.h>

int main(int argc, char *argv[])
{
    // Generate random array of integers, with
    // size given by args.

## python_syntax_for_gin.py
def preprocess_config(s: str):
  """Remove imports from a string representation of a python file"""
  # We assume that imports are not multi-line.
  lines = s.splitlines()
  out_lines = []

  for line in lines:
    # Skip lines with import in them:
    if 'import' in line:
      continue

## coord_transform.py
def acos2(num, denom, disamb):
    cosine = num/denom

    return torch.where((cosine > -1) & (cosine < 1.),
        torch.acos(cosine) * torch.where(disamb < 0.0, -1, 1),
        torch.where(cosine <= -1, np.pi, 0.0)
    )

def coord_transform(x):
    # Assumes in CoM frame

## backtrack_nans.md

      
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                MilesCranmer
                / backtrack_nans.md
            
            
              Created
              March 3, 2021 19:24
            
              
                Trick to step backwards if a NaN occurs
              
          
    Before training:
last = model.state_dict()
Inside training loop, after computing loss:
if torch.isnan(loss).sum().item():
    model.load_state_dict(last)
else:

  
## mwe.jl
using SymbolicUtils

mutable struct Node
    #Holds operators, variables, constants in a tree
    degree::Integer #0 for constant/variable, 1 for cos/sin, 2 for +/* etc.
    val::Union{Float32, Integer, Nothing} #Either const value, or enumerates variable
    constant::Bool #false if variable
    op::Integer #enumerates operator (separately for degree=1,2)
    l::Union{Node, Nothing}
    r::Union{Node, Nothing}

## einop.py
# Copy this into your code. Call with, e.g., einop(x, 'i j -> j', reduction='mean')
import functools
import einops as _einops
from einops.parsing import ParsedExpression

@functools.lru_cache(256)
def _match_einop(pattern: str, reduction=None, **axes_lengths: int):
    """Find the corresponding operation matching the pattern"""
    left, rght = pattern.split('->')
    left = ParsedExpression(left)

## analytic_approximation.py
import numpy as np
from mpmath import mp, mpmathify
from pysr import *

#Set precision to 200 decimal places:
mp.dps = 200

x = np.linspace(-10, -5, num=300)

#High precision calculation:

## matrix_box_notation.tex
%Make sure to have \usepackage{tikz}


%https://tex.stackexchange.com/a/45815/140440 - for grid
%https://tex.stackexchange.com/a/381175/140440 - for alignment in equation

% This function draws a matrix.
\newcommand{\mat}[2]{% cols, rows
\vcenter{\hbox{ %Vertical alignment
\begin{tikzpicture}[scale=0.3, align=center]

## .vimrc
set nocompatible              " be iMproved, required
let g:python3_host_prog = '/usr/local/opt/python@3.8/bin/python3.8'

if empty(glob('~/.vim/autoload/plug.vim'))
  silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs
    \ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
  autocmd VimEnter * PlugInstall --sync | source $MYVIMRC
endif

call plug#begin('~/.vim/plugged')

## writings-tracking-with-git.bash
#!/bin/bash
##################################
#
# THE ARCHIVE TRACKER
#
# REF: https://gist.github.com/markwk/c85a8a72bc8c03d0f510262bb5219a34/
#
# INTRODUCTION:
# Daily script to navigate to a directory of plain text files,
# add files to git repo, calculate key stats, store stats to csv
	// Count elements of an array by using a lookup table.
	#include <stdio.h>
	#include <stdlib.h>
	#include <stdbool.h>
	#include <time.h>

	int main(int argc, char *argv[])
	{
	// Generate random array of integers, with
	// size given by args.
	def preprocess_config(s: str):
	"""Remove imports from a string representation of a python file"""
	# We assume that imports are not multi-line.
	lines = s.splitlines()
	out_lines = []

	for line in lines:
	# Skip lines with import in them:
	if 'import' in line:
	continue
	def acos2(num, denom, disamb):
	cosine = num/denom

	return torch.where((cosine > -1) & (cosine < 1.),
	torch.acos(cosine) * torch.where(disamb < 0.0, -1, 1),
	torch.where(cosine <= -1, np.pi, 0.0)
	)

	def coord_transform(x):
	# Assumes in CoM frame
	using SymbolicUtils

	mutable struct Node
	#Holds operators, variables, constants in a tree
	degree::Integer #0 for constant/variable, 1 for cos/sin, 2 for +/* etc.
	val::Union{Float32, Integer, Nothing} #Either const value, or enumerates variable
	constant::Bool #false if variable
	op::Integer #enumerates operator (separately for degree=1,2)
	l::Union{Node, Nothing}
	r::Union{Node, Nothing}
	# Copy this into your code. Call with, e.g., einop(x, 'i j -> j', reduction='mean')
	import functools
	import einops as _einops
	from einops.parsing import ParsedExpression

	@functools.lru_cache(256)
	def _match_einop(pattern: str, reduction=None, **axes_lengths: int):
	"""Find the corresponding operation matching the pattern"""
	left, rght = pattern.split('->')
	left = ParsedExpression(left)
	import numpy as np
	from mpmath import mp, mpmathify
	from pysr import *

	#Set precision to 200 decimal places:
	mp.dps = 200

	x = np.linspace(-10, -5, num=300)

	#High precision calculation:
	%Make sure to have \usepackage{tikz}


	%https://tex.stackexchange.com/a/45815/140440 - for grid
	%https://tex.stackexchange.com/a/381175/140440 - for alignment in equation

	% This function draws a matrix.
	\newcommand{\mat}[2]{% cols, rows
	\vcenter{\hbox{ %Vertical alignment
	\begin{tikzpicture}[scale=0.3, align=center]
	set nocompatible " be iMproved, required
	let g:python3_host_prog = '/usr/local/opt/python@3.8/bin/python3.8'

	if empty(glob('~/.vim/autoload/plug.vim'))
	silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs
	\ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
	autocmd VimEnter * PlugInstall --sync \| source $MYVIMRC
	endif

	call plug#begin('~/.vim/plugged')
	#!/bin/bash
	##################################
	#
	# THE ARCHIVE TRACKER
	#
	# REF: https://gist.github.com/markwk/c85a8a72bc8c03d0f510262bb5219a34/
	#
	# INTRODUCTION:
	# Daily script to navigate to a directory of plain text files,
	# add files to git repo, calculate key stats, store stats to csv