Skip to content
GitLab
Projects
Groups
Snippets
Help
Loading...
Help
What's new
7
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Open sidebar
Martin Reinecke
pypocketfft
Commits
7e77dfec
Commit
7e77dfec
authored
Jul 19, 2019
by
Martin Reinecke
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
add docstrings
parent
f43066e4
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
68 additions
and
4 deletions
+68
-4
pypocketfft.cc
pypocketfft.cc
+68
-4
No files found.
pypocketfft.cc
View file @
7e77dfec
...
...
@@ -581,6 +581,70 @@ numpy.ndarray (same shape and data type as `a`)
The transformed data
)"""
;
const
char
*
dct_DS
=
R"""(Performs a discrete cosine transform.
Parameters
----------
a : numpy.ndarray (any real type)
The input data
type : integer
the type of DCT. Must be in [1; 4].
axes : list of integers
The axes along which the transform is carried out.
If not set, all axes will be transformed.
inorm : int
Normalization type
0 : no normalization
1 : divide by sqrt(N)
2 : divide by N
where N is the product of n_i for every transformed axis i.
n_i is 2*(<axis_length>-1 for type 1 and 2*<axis length>
for types 2, 3, 4.
out : numpy.ndarray (same shape and data type as `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.
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
by the `OMP_NUM_THREADS` environment variable).
Returns
-------
numpy.ndarray (same shape and data type as `a`)
The transformed data
)"""
;
const
char
*
dst_DS
=
R"""(Performs a discrete sine transform.
Parameters
----------
a : numpy.ndarray (any real type)
The input data
type : integer
the type of DST. Must be in [1; 4].
axes : list of integers
The axes along which the transform is carried out.
If not set, all axes will be transformed.
inorm : int
Normalization type
0 : no normalization
1 : divide by sqrt(N)
2 : divide by N
where N is the product of n_i for every transformed axis i.
n_i is 2*(<axis_length>+1 for type 1 and 2*<axis length>
for types 2, 3, 4.
out : numpy.ndarray (same shape and data type as `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.
nthreads : int
Number of threads to use. If 0, use the system default (typically governed
by the `OMP_NUM_THREADS` environment variable).
Returns
-------
numpy.ndarray (same shape and data type as `a`)
The transformed data
)"""
;
}
// unnamed namespace
PYBIND11_MODULE
(
pypocketfft
,
m
)
...
...
@@ -600,8 +664,8 @@ PYBIND11_MODULE(pypocketfft, m)
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
m
.
def
(
"genuine_hartley"
,
genuine_hartley
,
genuine_hartley_DS
,
"a"
_a
,
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
m
.
def
(
"dct"
,
dct
,
/*
dct_DS,
*/
"a"
_a
,
"type"
_a
,
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
m
.
def
(
"dst"
,
dst
,
/*
dst_DS,
*/
"a"
_a
,
"type"
_a
,
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
m
.
def
(
"dct"
,
dct
,
dct_DS
,
"a"
_a
,
"type"
_a
,
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
m
.
def
(
"dst"
,
dst
,
dst_DS
,
"a"
_a
,
"type"
_a
,
"axes"
_a
=
None
,
"inorm"
_a
=
0
,
"out"
_a
=
None
,
"nthreads"
_a
=
1
);
}
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment