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Martin Reinecke
pypocketfft
Commits
5705b6a5
Commit
5705b6a5
authored
Jun 19, 2019
by
Martin Reinecke
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clarify documentation
parent
ab552715
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pypocketfft.cc
pypocketfft.cc
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pypocketfft.cc
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5705b6a5
...
@@ -347,7 +347,7 @@ inorm : int
...
@@ -347,7 +347,7 @@ inorm : int
2 : divide by N
2 : divide by N
where N is the product of the lengths of the transformed axes.
where N is the product of the lengths of the transformed axes.
out : numpy.ndarray (same shape as `a`, complex type with same accuracy as `a`)
out : numpy.ndarray (same shape as `a`, complex type with same accuracy as `a`)
May be identical to `a`.
May be identical to
`a`, but if it isn't, it must not overlap with
`a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
@@ -378,6 +378,7 @@ inorm : int
...
@@ -378,6 +378,7 @@ inorm : int
where N is the product of the lengths of the transformed input axes.
where N is the product of the lengths of the transformed input axes.
out : numpy.ndarray (complex type with same accuracy as `a`)
out : numpy.ndarray (complex type with same accuracy as `a`)
For the required shape, see the `Returns` section.
For the required shape, see the `Returns` section.
Must not overlap with `a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
@@ -412,6 +413,7 @@ inorm : int
...
@@ -412,6 +413,7 @@ inorm : int
where N is the product of the lengths of the transformed output axes.
where N is the product of the lengths of the transformed output axes.
out : numpy.ndarray (real type with same accuracy as `a`)
out : numpy.ndarray (real type with same accuracy as `a`)
For the required shape, see the `Returns` section.
For the required shape, see the `Returns` section.
Must not overlap with `a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
@@ -446,7 +448,7 @@ inorm : int
...
@@ -446,7 +448,7 @@ inorm : int
2 : divide by N
2 : divide by N
where N is the length of `axis`.
where N is the length of `axis`.
out : numpy.ndarray (same shape and data type as `a`)
out : numpy.ndarray (same shape and data type as `a`)
May be identical to `a`.
May be identical to
`a`, but if it isn't, it must not overlap with
`a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
@@ -477,7 +479,7 @@ inorm : int
...
@@ -477,7 +479,7 @@ inorm : int
2 : divide by N
2 : divide by N
where N is the product of the lengths of the transformed axes.
where N is the product of the lengths of the transformed axes.
out : numpy.ndarray (same shape and data type as `a`)
out : numpy.ndarray (same shape and data type as `a`)
May be identical to `a`.
May be identical to
`a`, but if it isn't, it must not overlap with
`a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
@@ -509,7 +511,7 @@ inorm : int
...
@@ -509,7 +511,7 @@ inorm : int
2 : divide by N
2 : divide by N
where N is the product of the lengths of the transformed axes.
where N is the product of the lengths of the transformed axes.
out : numpy.ndarray (same shape and data type as `a`)
out : numpy.ndarray (same shape and data type as `a`)
May be identical to `a`.
May be identical to
`a`, but if it isn't, it must not overlap with
`a`.
If None, a new array is allocated to store the output.
If None, a new array is allocated to store the output.
nthreads : int
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
Number of threads to use. If 0, use the system default (typically governed
...
...
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