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Fix for missing numpy data types on some platforms #514

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Merged
merged 3 commits into from
Jan 22, 2025
Merged

Fix for missing numpy data types on some platforms #514

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8d793fc
Fix for missing numpy data types on some platforms
brownbaerchen Jan 21, 2025
5fcddbe
Implemented @tlunet's suggestions
brownbaerchen Jan 22, 2025
6ee7163
Aesthetic changes
brownbaerchen Jan 22, 2025
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29 changes: 24 additions & 5 deletions pySDC/helpers/fieldsIO.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,11 +69,30 @@ class MPI:
DTYPES = {
0: np.float64, # double precision
1: np.complex128,
2: np.longdouble, # quadruple precision
3: np.clongdouble,
4: np.float32, # single precision
5: np.complex64,
}
try:
DTYPES.update(
{
2: np.float128, # quadruple precision
3: np.complex256,
}
)
except AttributeError:
import logging
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@tlunet tlunet Jan 22, 2025 •
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Can logging not be a module import ? Local import with black formating makes this very ugly ... 🤡


logging.getLogger('FieldsIO').debug('Warning: Quadruple precision not available on this machine')
try:
DTYPES.update(
{
4: np.float32, # single precision
5: np.complex64,
}
)
except AttributeError:
import logging

logging.getLogger('FieldsIO').debug('Warning: Single precision not available on this machine')

DTYPES_AVAIL = {val: key for key, val in DTYPES.items()}

# Header dtype
Expand All @@ -100,7 +119,7 @@ def __init__(self, dtype, fileName):
fileName : str
File.
"""
assert dtype in DTYPES_AVAIL, f"{dtype=} not available"
assert dtype in DTYPES_AVAIL, f"{dtype=} not available. Supported on this machine: {list(DTYPES_AVAIL.keys())}"
self.dtype = dtype
self.fileName = fileName
self.initialized = False
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