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minor changes for version v1.3.3
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thomasvrussell committed Sep 4, 2022
1 parent b71cadb commit 97c8bd5
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Showing 7 changed files with 7 additions and 1 deletion.
2 changes: 1 addition & 1 deletion setup.py
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DOWNLOAD_URL = 'https://github.com/thomasvrussell/sfft'

LICENSE = 'MIT Licence'
VERSION = '1.3.3beta'
VERSION = '1.3.3'

install_reqs = ['scipy>=1.5.2',
'astropy>=3.2.3',
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1 change: 1 addition & 0 deletions test/difference_noise_decorrelation/decorr.py
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from sfft.utils.SkyLevelEstimator import SkyLevel_Estimator
from sfft.utils.DeCorrelationCalculator import DeCorrelation_Calculator
CDIR = pa.dirname(pa.abspath(__file__))
# sfft version: 1.3.2+

# ** Science Group
FITS_04a = CDIR + '/input_data/DEC-OBS04a.mini.fits'
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1 change: 1 addition & 0 deletions test/subtract_test_crowded_flavor/subtract4crowded.py
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import os.path as pa
from sfft.EasyCrowdedPacket import Easy_CrowdedPacket
# sfft version: 1.3.2+

# configuration: computing backend and resourse
BACKEND_4SUBTRACT = 'Cupy' # FIXME {'Pycuda', 'Cupy', 'Numpy'}, Use 'Numpy' if you only have CPUs
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1 change: 1 addition & 0 deletions test/subtract_test_customized/subtract4customized.py
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from tempfile import mkdtemp
from sfft.CustomizedPacket import Customized_Packet
CDIR = pa.dirname(pa.abspath(__file__))
# sfft version: 1.3.2+

# configuration: computing backend and resourse
BACKEND_4SUBTRACT = 'Cupy' # FIXME {'Pycuda', 'Cupy', 'Numpy'}, Use Numpy if you only have CPUs
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import os.path as pa
from sfft.MultiEasyCrowdedPacket import MultiEasy_CrowdedPacket
CDIR = pa.dirname(pa.abspath(__file__))
# sfft version: 1.3.2+

# configuration: multiprocessing and computing resourse
NUM_THREADS_4PREPROC = 16 # FIXME Python threads for preprocesing
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import os.path as pa
from sfft.MultiEasySparsePacket import MultiEasy_SparsePacket
CDIR = pa.dirname(pa.abspath(__file__))
# sfft version: 1.3.2+

# configuration: multiprocessing and computing resourse
NUM_THREADS_4PREPROC = 16 # FIXME Python threads for preprocesing
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1 change: 1 addition & 0 deletions test/subtract_test_sparse_flavor/subtract4sparse.py
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import os.path as pa
from sfft.EasySparsePacket import Easy_SparsePacket
# sfft version: 1.3.2+

# configuration: computing backend and resourse
BACKEND_4SUBTRACT = 'Cupy' # FIXME {'Pycuda', 'Cupy', 'Numpy'}, Use Numpy if you only have CPUs
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