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import numpy as np
cimport numpy as np
from libcpp.vector cimport vector
cimport base
np.import_array()
cdef class Peak:
def __cinit__(self, create_new=True):
if create_new:
self.thisptr = new c_Peak()
self.created = True
else:
self.created = False
def __dealloc__(self):
if self.created:
del self.thisptr
cdef set_peak(self, c_Peak* p):
self.thisptr = p
cdef copy(self, c_Peak* p):
self.thisptr.amplitude = p.amplitude
self.thisptr.frequency = p.frequency
self.thisptr.phase = p.phase
self.thisptr.bandwidth = p.bandwidth
property amplitude:
def __get__(self): return self.thisptr.amplitude
def __set__(self, double x): self.thisptr.amplitude = x
property frequency:
def __get__(self): return self.thisptr.frequency
def __set__(self, double x): self.thisptr.frequency = x
property phase:
def __get__(self): return self.thisptr.phase
def __set__(self, double x): self.thisptr.phase = x
property bandwidth:
def __get__(self): return self.thisptr.bandwidth
def __set__(self, double x): self.thisptr.bandwidth = x
cdef class Frame:
def __cinit__(self, size=2048, create_new=True):
self._peaks = []
self._partials = []
if create_new:
self.thisptr = new c_Frame(size, True)
self.created = True
else:
self.created = False
def __dealloc__(self):
if self.created and self.thisptr:
del self.thisptr
self.thisptr = <c_Frame*>0
cdef set_frame(self, c_Frame* f):
self.thisptr = f
# peaks
property max_peaks:
def __get__(self): return self.thisptr.max_peaks()
def __set__(self, int i): self.thisptr.max_peaks(i)
def add_peak(self, Peak p not None):
self.thisptr.add_peak(p.amplitude, p.frequency,
p.phase, p.bandwidth)
def add_peaks(self, peaks not None):
for p in peaks:
self.add_peak(p)
def peak(self, int i):
cdef c_Peak* c_p = self.thisptr.peak(i)
# return the same Python peak object if it exists so
# memory is not deallocated
if i < len(self._peaks) and self._peaks[i] and \
self._peaks[i].amplitude == c_p.amplitude and \
self._peaks[i].frequency == c_p.frequency and \
self._peaks[i].phase == c_p.phase and \
self._peaks[i].bandwidth == c_p.bandwidth:
return self._peaks[i]
# if not, make a new Python peak and copy the values
else:
p = Peak()
p.copy(c_p)
return p
property peaks:
def __get__(self):
# assign updated peak list to new local variable first so that
# a reference to the old peak peaks is kept while updating, and
# memory is not deallocated
new_peaks = [self.peak(i) for i in range(self.thisptr.num_peaks())]
self._peaks = new_peaks
return self._peaks
def __set__(self, peaks):
self.thisptr.clear_peaks()
self.add_peaks(peaks)
self._peaks = peaks
def clear(self):
self.thisptr.clear()
self._peaks = []
self._partials = []
# partials
property max_partials:
def __get__(self): return self.thisptr.max_partials()
def __set__(self, int i): self.thisptr.max_partials(i)
def add_partial(self, Peak p not None):
self.thisptr.add_partial(p.amplitude, p.frequency,
p.phase, p.bandwidth)
def add_partials(self, peaks not None):
for p in peaks:
self.add_partial(p)
def partial(self, int i, Peak p=None):
cdef c_Peak* c_p
if not p:
c_p = self.thisptr.partial(i)
# return the same Python peak object if it exists so
# memory is not deallocated
if i < len(self._partials) and self._partials[i] and \
self._partials[i].amplitude == c_p.amplitude and \
self._partials[i].frequency == c_p.frequency and \
self._partials[i].phase == c_p.phase and \
self._partials[i].bandwidth == c_p.bandwidth:
return self._partials[i]
# if not, make a new Python peak and copy the values
else:
peak = Peak()
peak.copy(c_p)
return peak
else:
self.thisptr.partial(i, p.amplitude, p.frequency,
p.phase, p.bandwidth)
property partials:
def __get__(self):
# assign updated partial list to new local variable first so that
# a reference to the old partial peaks is kept while updating, and
# memory is not deallocated
new_partials = [self.partial(i) for i in range(self.thisptr.num_partials())]
self._partials = new_partials
return self._partials
def __set__(self, peaks):
self.thisptr.clear_partials()
self.add_partials(peaks)
self._partials = peaks
# audio buffers
property size:
def __get__(self): return self.thisptr.size()
def __set__(self, int i): self.thisptr.size(i)
property synth_size:
def __get__(self): return self.thisptr.synth_size()
def __set__(self, int i): self.thisptr.synth_size(i)
property audio:
def __get__(self):
cdef np.npy_intp shape[1]
shape[0] = <np.npy_intp> self.thisptr.size()
return np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, self.thisptr.audio())
def __set__(self, np.ndarray[dtype_t, ndim=1] a):
self.thisptr.audio(<double*> a.data)
property synth:
def __get__(self):
cdef np.npy_intp shape[1]
shape[0] = <np.npy_intp> self.thisptr.synth_size()
return np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, self.thisptr.synth())
def __set__(self, np.ndarray[dtype_t, ndim=1] a):
self.thisptr.synth(<double*> a.data)
property residual:
def __get__(self):
cdef np.npy_intp shape[1]
shape[0] = <np.npy_intp> self.thisptr.size()
return np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, self.thisptr.residual())
def __set__(self, np.ndarray[dtype_t, ndim=1] a):
self.thisptr.residual(<double*> a.data)
property synth_residual:
def __get__(self):
cdef np.npy_intp shape[1]
shape[0] = <np.npy_intp> self.thisptr.synth_size()
return np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, self.thisptr.synth_residual())
def __set__(self, np.ndarray[dtype_t, ndim=1] a):
self.thisptr.synth_residual(<double*> a.data)
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