Lehman Garrison lgarrison

## multithreaded_reader.py
import numpy as np
import threading
import queue

def multithreaded_read(fns, nthreads=2):
    '''
    A simple multithreaded reader that spins up N threads
    to read a list of files, returning the result in a list.
    Reads in Numpy format by default.


## potential.ipynb

      
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                lgarrison
                / potential.ipynb
            
            
              Created
              July 13, 2021 15:54
            
              
                simple N^2 gravitational potential calculator in numba
              
          
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## optimize_fenv.ipynb

      
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                lgarrison
                / optimize_fenv.ipynb
            
            
              Created
              February 25, 2022 18:29
            
              
                optimize calc_fenv
              
          
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## compress.py
#!/usr/bin/env python3
'''
Compress a density grid.

Usage: ./compress.py --help
'''

from pathlib import Path

import click

## check_bispectrum_pylians.ipynb

      
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              October 3, 2023 18:15
            
              
                zeldovich-PLT f_NL validation notebook
              
          
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## condition.ipynb

      
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                lgarrison
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              Last active
              February 22, 2024 23:31
            
              
                finufft condition number with small inputs
              
          
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## halos.ecsv
# %ECSV 1.0
# ---
# datatype:
# - {name: x, datatype: float32}
# - {name: y, datatype: float32}
# - {name: z, datatype: float32}
# meta: {L: 2000.0}
# schema: astropy-2.0
x y z
1002.2712 1022.61536 251.77208
	import numpy as np
	import threading
	import queue

	def multithreaded_read(fns, nthreads=2):
	'''
	A simple multithreaded reader that spins up N threads
	to read a list of files, returning the result in a list.
	Reads in Numpy format by default.
	#!/usr/bin/env python3
	'''
	Compress a density grid.

	Usage: ./compress.py --help
	'''

	from pathlib import Path

	import click
	# %ECSV 1.0
	# ---
	# datatype:
	# - {name: x, datatype: float32}
	# - {name: y, datatype: float32}
	# - {name: z, datatype: float32}
	# meta: {L: 2000.0}
	# schema: astropy-2.0
	x y z
	1002.2712 1022.61536 251.77208