joezuntz

## parallel_loadz.ipynb

      
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              Created
              June 27, 2022 10:53
            
              
                Parallel loadz using concurrent.futures
              
          
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## cosmosis_interactive.ipynb

      
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                / cosmosis_interactive.ipynb
            
            
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              June 23, 2022 17:00
            
              
                interactive cosmosis notebook
              
          
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## treecorr-field-example.ipynb

      
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                / treecorr-field-example.ipynb
            
            
              Created
              July 14, 2021 12:25
            
          
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## h5py-example.ipynb

      
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                / h5py-example.ipynb
            
            
              Created
              July 12, 2021 16:27
            
              
                H5PY Basic Example
              
          
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## sqlite_to_fits.py
import sqlite3
import numpy as np
import astropy.table

# open DB file
con = sqlite3.connect('baseline_nexp2_v1.7_10yrs.db')

# count rows so we can make numpy arrays
n = list(con.execute("select count(*) from SummaryAllProps"))[0][0]
ra = np.zeros(n)

## compare.ipynb

      
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                joezuntz
                / compare.ipynb
            
            
              Created
              March 24, 2021 18:14
            
              
                compare cosmosis and pycamb phi-phi
              
          
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## lsst_desi_overlap.py
import fitsio
import healpy
import os
import numpy as np
import pylab

nside = 512
npix = healpy.nside2npix(nside)

# download DESI

## example.ipynb

      
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                joezuntz
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              Last active
              March 9, 2020 16:22
            
              
                Example of pymultinest with derived params
              
          
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## namaster.ipynb

      
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                / namaster.ipynb
            
            
              Last active
              January 16, 2020 18:32
            
              
                namaster attempt
              
          
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## run_in_subprocess.py
import multiprocessing as mp
import os
import functools
from queue import Empty

class TimeoutError(Exception):
    pass

def optionally_run_in_subprocess(f):
    """A decorator adding a kwarg to a function that makes it run in a subprocess.
	import sqlite3
	import numpy as np
	import astropy.table

	# open DB file
	con = sqlite3.connect('baseline_nexp2_v1.7_10yrs.db')

	# count rows so we can make numpy arrays
	n = list(con.execute("select count(*) from SummaryAllProps"))[0][0]
	ra = np.zeros(n)
	import fitsio
	import healpy
	import os
	import numpy as np
	import pylab

	nside = 512
	npix = healpy.nside2npix(nside)

	# download DESI
	import multiprocessing as mp
	import os
	import functools
	from queue import Empty

	class TimeoutError(Exception):
	pass

	def optionally_run_in_subprocess(f):
	"""A decorator adding a kwarg to a function that makes it run in a subprocess.