Source code for lacuna.array_api.reductions.__init__

from .. import _dispatch as _dp
from .. import _namespace as _ns




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def sum(x, axis=None, keepdims=False):
    return _dp.sum(x, axis=axis, keepdims=keepdims)






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def prod(x, axis=None, keepdims=False):
    return _dp.prod(x, axis=axis, keepdims=keepdims)






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def min(x, axis=None, keepdims=False):
    return _dp.min(x, axis=axis, keepdims=keepdims)






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def max(x, axis=None, keepdims=False):
    return _dp.max(x, axis=axis, keepdims=keepdims)






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def mean(x, axis=None, keepdims=False):
    return _dp.mean(x, axis=axis, keepdims=keepdims)






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def var(x, axis=None, correction=0.0, keepdims=False):
    return _dp.var(x, axis=axis, correction=correction, keepdims=keepdims)






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def std(x, axis=None, correction=0.0, keepdims=False):
    return _dp.std(x, axis=axis, correction=correction, keepdims=keepdims)






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def cumulative_sum(x, axis=None):
    return _dp.cumsum(x, axis=axis)






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def cumulative_prod(x, axis=None):
    return _dp.cumprod(x, axis=axis)






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def all(x, axis=None, keepdims=False):
    return _dp.all(x, axis=axis, keepdims=keepdims)






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def any(x, axis=None, keepdims=False):
    return _dp.any(x, axis=axis, keepdims=keepdims)






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def diff(x, *, n=1, axis=-1):
    return _dp.diff(x, n=n, axis=axis)