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📄 __init__.py
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📄 __init__.pyi
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📁 __pycache__/
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📄 _datasource.py
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📄 _iotools.py
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📄 _version.py
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📄 _version.pyi
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📄 arraypad.py
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📄 arraypad.pyi
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📄 arraysetops.py
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📄 arraysetops.pyi
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📄 arrayterator.py
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📄 arrayterator.pyi
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📄 format.py
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📄 format.pyi
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📄 function_base.py
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📄 function_base.pyi
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📄 histograms.py
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📄 histograms.pyi
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📄 index_tricks.py
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📄 index_tricks.pyi
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📄 mixins.py
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📄 mixins.pyi
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📄 nanfunctions.py
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📄 nanfunctions.pyi
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📄 npyio.py
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📄 npyio.pyi
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📄 polynomial.py
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📄 polynomial.pyi
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📄 recfunctions.py
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📄 scimath.py
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📄 scimath.pyi
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📄 setup.py
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📄 shape_base.py
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📄 shape_base.pyi
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📄 stride_tricks.py
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📄 stride_tricks.pyi
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📁 tests/
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📄 twodim_base.py
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📄 twodim_base.pyi
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📄 type_check.py
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📄 type_check.pyi
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📄 ufunclike.py
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📄 ufunclike.pyi
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📄 user_array.py
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📄 utils.py
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📄 utils.pyi
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EDITING: nanfunctions.pyi
from numpy.core.fromnumeric import ( amin, amax, argmin, argmax, sum, prod, cumsum, cumprod, mean, var, std ) from numpy.lib.function_base import ( median, percentile, quantile, ) __all__: list[str] # NOTE: In reaility these functions are not aliases but distinct functions # with identical signatures. nanmin = amin nanmax = amax nanargmin = argmin nanargmax = argmax nansum = sum nanprod = prod nancumsum = cumsum nancumprod = cumprod nanmean = mean nanvar = var nanstd = std nanmedian = median nanpercentile = percentile nanquantile = quantile
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