All Samples(695) | Call(657) | Derive(0) | Import(38)
Array-checking restype/argtypes. An ndpointer instance is used to describe an ndarray in restypes and argtypes specifications. This approach is more flexible than using, for example, ``POINTER(c_double)``, since several restrictions can be specified, which are verified upon calling the ctypes function. These include data type, number of dimensions, shape and flags. If a given array does not satisfy the specified restrictions, a ``TypeError`` is raised. (more...)
def ndpointer(dtype=None, ndim=None, shape=None, flags=None):
"""
Array-checking restype/argtypes.
An ndpointer instance is used to describe an ndarray in restypes
and argtypes specifications. This approach is more flexible than
using, for example, ``POINTER(c_double)``, since several restrictions
can be specified, which are verified upon calling the ctypes function.
These include data type, number of dimensions, shape and flags. If a
given array does not satisfy the specified restrictions,
a ``TypeError`` is raised.
Parameters
----------
dtype : data-type, optional
Array data-type.
ndim : int, optional
Number of array dimensions.
shape : tuple of ints, optional
Array shape.
flags : str or tuple of str
Array flags; may be one or more of:
- C_CONTIGUOUS / C / CONTIGUOUS
- F_CONTIGUOUS / F / FORTRAN
- OWNDATA / O
- WRITEABLE / W
- ALIGNED / A
- UPDATEIFCOPY / U
Returns
-------
klass : ndpointer type object
A type object, which is an ``_ndtpr`` instance containing
dtype, ndim, shape and flags information.
Raises
------
TypeError
If a given array does not satisfy the specified restrictions.
Examples
--------
>>> clib.somefunc.argtypes = [np.ctypeslib.ndpointer(dtype=np.float64,
... ndim=1,
... flags='C_CONTIGUOUS')]
... #doctest: +SKIP
>>> clib.somefunc(np.array([1, 2, 3], dtype=np.float64))
... #doctest: +SKIP
"""
if dtype is not None:
dtype = _dtype(dtype)
num = None
if flags is not None:
if isinstance(flags, str):
flags = flags.split(',')
elif isinstance(flags, (int, integer)):
num = flags
flags = _flags_fromnum(num)
elif isinstance(flags, flagsobj):
num = flags.num
flags = _flags_fromnum(num)
if num is None:
try:
flags = [x.strip().upper() for x in flags]
except:
raise TypeError("invalid flags specification")
num = _num_fromflags(flags)
try:
return _pointer_type_cache[(dtype, ndim, shape, num)]
except KeyError:
pass
if dtype is None:
name = 'any'
elif dtype.names:
name = str(id(dtype))
else:
name = dtype.str
if ndim is not None:
name += "_%dd" % ndim
if shape is not None:
try:
strshape = [str(x) for x in shape]
except TypeError:
strshape = [str(shape)]
shape = (shape,)
shape = tuple(shape)
name += "_"+"x".join(strshape)
if flags is not None:
name += "_"+"_".join(flags)
else:
flags = []
klass = type("ndpointer_%s"%name, (_ndptr,),
{"_dtype_": dtype,
"_shape_" : shape,
"_ndim_" : ndim,
"_flags_" : num})
_pointer_type_cache[dtype] = klass
return klass
ctypes.POINTER(ctypes.c_int),
# BestSet: nMaxTerms x 1, indices of the best set of cols of bx
ctypeslib.ndpointer(dtype=ctypes.c_bool),
# bx: nCases x nMaxTerms basis matrix
ctypeslib.ndpointer(dtype=ctypes.c_double, ndim=2, flags="F_CONTIGUOUS"),
# Dirs: nMaxTerms x nPreds, -1,0,1,2 for iTerm, iPred
ctypeslib.ndpointer(dtype=ctypes.c_int, ndim=2, flags="F_CONTIGUOUS"),
# Cuts: nMaxTerms x nPreds, cut for iTerm, iPred
ctypeslib.ndpointer(dtype=ctypes.c_double, ndim=2, flags="F_CONTIGUOUS"),
ctypeslib.ndpointer(dtype=ctypes.c_double, ndim=2, flags="F_CONTIGUOUS"),
# Residuals: nCases x nResp
ctypeslib.ndpointer(dtype=ctypes.c_double, ndim=2, flags="F_CONTIGUOUS"),
# Betas: nMaxTerms x nResp
ctypeslib.ndpointer(dtype=ctypes.c_double, ndim=2, flags="F_CONTIGUOUS"),
src/o/b/obspy-0.9.0/obspy/signal/headers.py obspy(Download)
clibsignal.calcSteer.argtypes = [
C.c_int, C.c_int, C.c_int, C.c_int, C.c_int, C.c_float,
np.ctypeslib.ndpointer(dtype='f4', ndim=3, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='c16', ndim=4, flags='C_CONTIGUOUS'),
]
clibsignal.calcSteer.restype = C.c_void_p
clibsignal.generalizedBeamformer.argtypes = [
np.ctypeslib.ndpointer(dtype='f8', ndim=2, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='f8', ndim=2, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='f8', ndim=2, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='f8', ndim=2, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='c16', ndim=4, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='c16', ndim=3, flags='C_CONTIGUOUS'),
C.c_int, C.c_int, C.c_int, C.c_int, C.c_int, C.c_int, C.c_int,
src/p/y/PyFMI-1.4/src/pyfmi/fmi_deprecated.py PyFMI(Download)
self._fmiSetContinuousStates.restype = self._fmiStatus
self._fmiSetContinuousStates.argtypes = [self._fmiComponent,
Nct.ndpointer(dtype=C.c_double,
ndim=1,
flags='C') ,C.c_size_t]
self._fmiGetContinuousStates = self._dll.__getattr__(
self._modelid+'_fmiGetContinuousStates')
self._fmiGetContinuousStates.restype = self._fmiStatus
self._fmiGetContinuousStates.argtypes = [self._fmiComponent,
Nct.ndpointer(dtype=C.c_double,
self._fmiGetReal = self._dll.__getattr__(self._modelid+'_fmiGetReal')
self._fmiGetReal.restype = self._fmiStatus
self._fmiGetReal.argtypes = [self._fmiComponent, Nct.ndpointer(dtype=C.c_uint32,
ndim=1,
flags='C'),
C.c_size_t, Nct.ndpointer(dtype=C.c_double,
self._modelid+'_fmiGetInteger')
self._fmiGetInteger.restype = self._fmiStatus
self._fmiGetInteger.argtypes = [self._fmiComponent, Nct.ndpointer(dtype=C.c_uint32,
ndim=1,
flags='C'),
src/o/b/obspy-HEAD/obspy/signal/headers.py obspy(Download)
clibsignal.calcSteer.argtypes = [
C.c_int, C.c_int, C.c_int, C.c_int, C.c_int, C.c_float,
np.ctypeslib.ndpointer(dtype='f4', ndim=3,
flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype='c16', ndim=4,
clibsignal.generalizedBeamformer.argtypes = [
np.ctypeslib.ndpointer(dtype='f8', ndim=2,
flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype='f8', ndim=2,
flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype='c16', ndim=4,
src/d/o/dolo-0.4.6.3/dolo/numeric/extern/qz.py dolo(Download)
from ctypes import cdll, c_int, c_char, POINTER import numpy as np from numpy.ctypeslib import ndpointer from numpy import mat, c_, r_, where, sqrt, newaxis from numpy.linalg import solve
c_int, # dummy SELCTG
POINTER(c_int), # N
ndpointer(dtype=np.float64, ndim=2, flags='FORTRAN'), # A
POINTER(c_int), # LDA
ndpointer(dtype=np.float64, ndim=2, flags='FORTRAN'), # B
POINTER(c_int), # LDB
POINTER(c_int), # SDIM
ndpointer(dtype=np.float64, ndim=1, flags='FORTRAN'), # ALPHAr
ndpointer(dtype=np.float64, ndim=1, flags='FORTRAN'), # ALPHAi
src/o/b/obspy-0.9.0/obspy/gse2/libgse2.py obspy(Download)
clibgse2.decomp_6b_buffer.argtypes = [
C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.CFUNCTYPE(C.c_char_p, C.POINTER(C.c_char), C.c_void_p), C.c_void_p]
clibgse2.decomp_6b_buffer.restype = C.c_int
clibgse2.rem_2nd_diff.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
clibgse2.check_sum.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.c_int, C.c_int32]
clibgse2.check_sum.restype = C.c_int # do not know why not C.c_int32
clibgse2.diff_2nd.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
clibgse2.compress_6b_buffer.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.c_int,
C.CFUNCTYPE(C.c_int, C.c_char)]
src/o/b/obspy-HEAD/obspy/gse2/libgse2.py obspy(Download)
clibgse2.decomp_6b_buffer.argtypes = [
C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
flags=native_str('C_CONTIGUOUS')),
C.CFUNCTYPE(C.c_char_p, C.POINTER(C.c_char), C.c_void_p), C.c_void_p]
clibgse2.decomp_6b_buffer.restype = C.c_int
clibgse2.rem_2nd_diff.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
clibgse2.check_sum.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
flags=native_str('C_CONTIGUOUS')),
C.c_int, C.c_int32]
clibgse2.check_sum.restype = C.c_int # do not know why not C.c_int32
clibgse2.diff_2nd.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
clibgse2.compress_6b_buffer.argtypes = [
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
flags=native_str('C_CONTIGUOUS')),
C.c_int,
src/o/b/obspy-0.9.0/obspy/mseed/headers.py obspy(Download)
clibmseed.msr_unpack_steim2.argtypes = [
C.POINTER(FRAME), C.c_int, C.c_int, C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.POINTER(C.c_int32), C.POINTER(C.c_int32), C.c_int, C.c_int]
clibmseed.msr_unpack_steim2.restype = C.c_int
clibmseed.msr_unpack_steim1.argtypes = [
C.POINTER(FRAME), C.c_int, C.c_int, C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.POINTER(FRAME), C.c_int, C.c_int, C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
np.ctypeslib.ndpointer(dtype='int32', ndim=1, flags='C_CONTIGUOUS'),
C.POINTER(C.c_int32), C.POINTER(C.c_int32), C.c_int, C.c_int]
clibmseed.msr_unpack_steim2.restype = C.c_int
# Set the necessary arg- and restypes.
clibmseed.readMSEEDBuffer.argtypes = [
np.ctypeslib.ndpointer(dtype='b', ndim=1, flags='C_CONTIGUOUS'),
C.c_int,
C.POINTER(Selections),
src/o/b/obspy-HEAD/obspy/mseed/headers.py obspy(Download)
clibmseed.msr_unpack_steim2.argtypes = [
C.POINTER(FRAME), C.c_int, C.c_int, C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
clibmseed.msr_unpack_steim1.argtypes = [
C.POINTER(FRAME), C.c_int, C.c_int, C.c_int,
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype='int32', ndim=1,
# Set the necessary arg- and restypes.
clibmseed.readMSEEDBuffer.argtypes = [
np.ctypeslib.ndpointer(dtype='b', ndim=1,
flags=native_str('C_CONTIGUOUS')),
C.c_int,
src/g/a/galpy-0.1/galpy/actionAngle_src/actionAngleStaeckel_c.py galpy(Download)
import os import ctypes import ctypes.util import numpy from numpy.ctypeslib import ndpointer
actionAngleStaeckel_actionsFunc= _lib.actionAngleStaeckel_actions
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
1 | 2 | 3 | 4 | 5 | 6 Next