From 5119d47d0f00c3f7203cf94460730b59a7e473ec Mon Sep 17 00:00:00 2001 From: Mario Mulansky Date: Tue, 7 Jul 2015 18:55:32 +0200 Subject: add disable_backend_warning property Users can now disable the warning messages produced when the cython backend is not available by writing spk.disable_backend_warning = True in the beginning --- pyspike/__init__.py | 2 ++ 1 file changed, 2 insertions(+) (limited to 'pyspike/__init__.py') diff --git a/pyspike/__init__.py b/pyspike/__init__.py index 3e836bd..2060f73 100644 --- a/pyspike/__init__.py +++ b/pyspike/__init__.py @@ -42,3 +42,5 @@ except DistributionNotFound: __version__ = 'Please install this project with setup.py' else: __version__ = _dist.version + +disable_backend_warning = False -- cgit v1.2.3 From 29e50478dcfc31ce04c4343fa585463abe96caae Mon Sep 17 00:00:00 2001 From: Mario Mulansky Date: Wed, 12 Aug 2015 18:42:54 +0200 Subject: new spike delay asymmetry measures added first version of spike delay asymmetry functions. still incomplete and untested. --- pyspike/__init__.py | 3 +- pyspike/directionality/__init__.py | 12 ++ pyspike/directionality/cython/__init__.py | 0 .../cython/cython_directionality.pyx | 177 +++++++++++++++++ pyspike/directionality/spike_delay_asymmetry.py | 212 +++++++++++++++++++++ pyspike/generic.py | 6 +- setup.py | 28 ++- 7 files changed, 427 insertions(+), 11 deletions(-) create mode 100644 pyspike/directionality/__init__.py create mode 100644 pyspike/directionality/cython/__init__.py create mode 100644 pyspike/directionality/cython/cython_directionality.pyx create mode 100644 pyspike/directionality/spike_delay_asymmetry.py (limited to 'pyspike/__init__.py') diff --git a/pyspike/__init__.py b/pyspike/__init__.py index 2060f73..8d92ea4 100644 --- a/pyspike/__init__.py +++ b/pyspike/__init__.py @@ -6,7 +6,7 @@ Distributed under the BSD License __all__ = ["isi_distance", "spike_distance", "spike_sync", "psth", "spikes", "SpikeTrain", "PieceWiseConstFunc", "PieceWiseLinFunc", - "DiscreteFunc"] + "DiscreteFunc", "directionality"] from PieceWiseConstFunc import PieceWiseConstFunc from PieceWiseLinFunc import PieceWiseLinFunc @@ -24,6 +24,7 @@ from psth import psth from spikes import load_spike_trains_from_txt, spike_train_from_string, \ merge_spike_trains, generate_poisson_spikes +import directionality as drct # define the __version__ following # http://stackoverflow.com/questions/17583443 diff --git a/pyspike/directionality/__init__.py b/pyspike/directionality/__init__.py new file mode 100644 index 0000000..e6de1de --- /dev/null +++ b/pyspike/directionality/__init__.py @@ -0,0 +1,12 @@ +""" +Copyright 2015, Mario Mulansky + +Distributed under the BSD License +""" + +__all__ = ["spike_delay_asymmetry"] + +from spike_delay_asymmetry import spike_delay_asymmetry_profile, \ + spike_delay_asymmetry, spike_delay_asymmetry_profile_multi, \ + spike_delay_asymmetry_matrix, optimal_asymmetry_order, \ + optimal_asymmetry_order_from_D, reorder_asymmetry_matrix diff --git a/pyspike/directionality/cython/__init__.py b/pyspike/directionality/cython/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pyspike/directionality/cython/cython_directionality.pyx b/pyspike/directionality/cython/cython_directionality.pyx new file mode 100644 index 0000000..f5ea752 --- /dev/null +++ b/pyspike/directionality/cython/cython_directionality.pyx @@ -0,0 +1,177 @@ +#cython: boundscheck=False +#cython: wraparound=False +#cython: cdivision=True + +""" +cython_directionality.pyx + +cython implementation of the spike delay asymmetry measures + +Copyright 2015, Mario Mulansky + +Distributed under the BSD License + +""" + +""" +To test whether things can be optimized: remove all yellow stuff +in the html output:: + + cython -a cython_directionality.pyx + +which gives:: + + cython_directionality.html + +""" + +import numpy as np +cimport numpy as np + +from libc.math cimport fabs +from libc.math cimport fmax +from libc.math cimport fmin + +# from pyspike.cython.cython_distances cimport get_tau + +DTYPE = np.float +ctypedef np.float_t DTYPE_t + + +############################################################ +# get_tau +############################################################ +cdef inline double get_tau(double[:] spikes1, double[:] spikes2, + int i, int j, double interval, double max_tau): + cdef double m = interval # use interval length as initial tau + cdef int N1 = spikes1.shape[0]-1 # len(spikes1)-1 + cdef int N2 = spikes2.shape[0]-1 # len(spikes2)-1 + if i < N1 and i > -1: + m = fmin(m, spikes1[i+1]-spikes1[i]) + if j < N2 and j > -1: + m = fmin(m, spikes2[j+1]-spikes2[j]) + if i > 0: + m = fmin(m, spikes1[i]-spikes1[i-1]) + if j > 0: + m = fmin(m, spikes2[j]-spikes2[j-1]) + m *= 0.5 + if max_tau > 0.0: + m = fmin(m, max_tau) + return m + + +############################################################ +# spike_delay_asymmetry_profile_cython +############################################################ +def spike_delay_asymmetry_profile_cython(double[:] spikes1, double[:] spikes2, + double t_start, double t_end, + double max_tau): + + cdef int N1 = len(spikes1) + cdef int N2 = len(spikes2) + cdef int i = -1 + cdef int j = -1 + cdef int n = 0 + cdef double[:] st = np.zeros(N1 + N2 + 2) # spike times + cdef double[:] a = np.zeros(N1 + N2 + 2) # asymmetry values + cdef double[:] mp = np.ones(N1 + N2 + 2) # multiplicity + cdef double interval = t_end - t_start + cdef double tau + while i + j < N1 + N2 - 2: + if (i < N1-1) and (j == N2-1 or spikes1[i+1] < spikes2[j+1]): + i += 1 + n += 1 + tau = get_tau(spikes1, spikes2, i, j, interval, max_tau) + st[n] = spikes1[i] + if j > -1 and spikes1[i]-spikes2[j] < tau: + # coincidence between the current spike and the previous spike + # spike from spike train 1 after spike train 2 + # both get marked with -1 + a[n] = -1 + a[n-1] = -1 + elif (j < N2-1) and (i == N1-1 or spikes1[i+1] > spikes2[j+1]): + j += 1 + n += 1 + tau = get_tau(spikes1, spikes2, i, j, interval, max_tau) + st[n] = spikes2[j] + if i > -1 and spikes2[j]-spikes1[i] < tau: + # coincidence between the current spike and the previous spike + # spike from spike train 1 before spike train 2 + # both get marked with 1 + a[n] = 1 + a[n-1] = 1 + else: # spikes1[i+1] = spikes2[j+1] + # advance in both spike trains + j += 1 + i += 1 + n += 1 + # add only one event with zero asymmetry value and multiplicity 2 + st[n] = spikes1[i] + a[n] = 0 + mp[n] = 2 + + st = st[:n+2] + a = a[:n+2] + mp = mp[:n+2] + + st[0] = t_start + st[len(st)-1] = t_end + if N1 + N2 > 0: + a[0] = a[1] + a[len(a)-1] = a[len(a)-2] + mp[0] = mp[1] + mp[len(mp)-1] = mp[len(mp)-2] + else: + a[0] = 1 + a[1] = 1 + + return st, a, mp + + + +############################################################ +# spike_delay_asymmetry_cython +############################################################ +def spike_delay_asymmetry_cython(double[:] spikes1, double[:] spikes2, + double t_start, double t_end, double max_tau): + + cdef int N1 = len(spikes1) + cdef int N2 = len(spikes2) + cdef int i = -1 + cdef int j = -1 + cdef int asym = 0 + cdef int mp = 0 + cdef double interval = t_end - t_start + cdef double tau + while i + j < N1 + N2 - 2: + if (i < N1-1) and (j == N2-1 or spikes1[i+1] < spikes2[j+1]): + i += 1 + mp += 1 + tau = get_tau(spikes1, spikes2, i, j, interval, max_tau) + if j > -1 and spikes1[i]-spikes2[j] < tau: + # coincidence between the current spike and the previous spike + # spike in spike train 2 appeared before spike in spike train 1 + # mark with -1 + asym -= 1 + elif (j < N2-1) and (i == N1-1 or spikes1[i+1] > spikes2[j+1]): + j += 1 + mp += 1 + tau = get_tau(spikes1, spikes2, i, j, interval, max_tau) + if i > -1 and spikes2[j]-spikes1[i] < tau: + # coincidence between the current spike and the previous spike + # spike in spike train 1 appeared before spike in spike train 2 + # mark with +1 + asym += 1 + else: # spikes1[i+1] = spikes2[j+1] + # advance in both spike trains + j += 1 + i += 1 + # add only one event with multiplicity 2, but no asymmetry counting + mp += 2 + + if asym == 0 and mp == 0: + # empty spike trains -> spike sync = 1 by definition + asym = 1 + mp = 1 + + return asym, mp diff --git a/pyspike/directionality/spike_delay_asymmetry.py b/pyspike/directionality/spike_delay_asymmetry.py new file mode 100644 index 0000000..7d59601 --- /dev/null +++ b/pyspike/directionality/spike_delay_asymmetry.py @@ -0,0 +1,212 @@ +# Module containing functions to compute multivariate spike delay asymmetry +# Copyright 2015, Mario Mulansky +# Distributed under the BSD License + +import numpy as np +from math import exp +from functools import partial +# import pyspike +from pyspike import DiscreteFunc +from pyspike.generic import _generic_profile_multi + + +############################################################ +# spike_delay_asymmetry_profile +############################################################ +def spike_delay_asymmetry_profile(spike_train1, spike_train2, max_tau=None): + """ Computes the spike delay asymmetry profile A(t) of the two given + spike trains. Returns the profile as a DiscreteFunction object. + + :param spike_train1: First spike train. + :type spike_train1: :class:`pyspike.SpikeTrain` + :param spike_train2: Second spike train. + :type spike_train2: :class:`pyspike.SpikeTrain` + :param max_tau: Maximum coincidence window size. If 0 or `None`, the + coincidence window has no upper bound. + :returns: The spike-distance profile :math:`S_{sync}(t)`. + :rtype: :class:`pyspike.function.DiscreteFunction` + + """ + # check whether the spike trains are defined for the same interval + assert spike_train1.t_start == spike_train2.t_start, \ + "Given spike trains are not defined on the same interval!" + assert spike_train1.t_end == spike_train2.t_end, \ + "Given spike trains are not defined on the same interval!" + + # cython implementation + try: + from cython.cython_directionality import \ + spike_delay_asymmetry_profile_cython as \ + spike_delay_asymmetry_profile_impl + except ImportError: + raise NotImplementedError() +# if not(pyspike.disable_backend_warning): +# print("Warning: spike_distance_cython not found. Make sure that \ +# PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ +# Falling back to slow python backend.") +# # use python backend +# from cython.python_backend import coincidence_python \ +# as coincidence_profile_impl + + if max_tau is None: + max_tau = 0.0 + + times, coincidences, multiplicity \ + = spike_delay_asymmetry_profile_impl(spike_train1.spikes, + spike_train2.spikes, + spike_train1.t_start, + spike_train1.t_end, + max_tau) + + return DiscreteFunc(times, coincidences, multiplicity) + + +############################################################ +# spike_delay_asymmetry +############################################################ +def spike_delay_asymmetry(spike_train1, spike_train2, + interval=None, max_tau=None): + """ Computes the overall spike delay asymmetry value for two spike trains. + """ + if interval is None: + # distance over the whole interval is requested: use specific function + # for optimal performance + try: + from cython.cython_directionality import \ + spike_delay_asymmetry_cython as spike_delay_impl + if max_tau is None: + max_tau = 0.0 + c, mp = spike_delay_impl(spike_train1.spikes, + spike_train2.spikes, + spike_train1.t_start, + spike_train1.t_end, + max_tau) + return c + except ImportError: + # Cython backend not available: fall back to profile averaging + raise NotImplementedError() + # return spike_sync_profile(spike_train1, spike_train2, + # max_tau).integral(interval) + else: + # some specific interval is provided: not yet implemented + raise NotImplementedError() + + +############################################################ +# spike_delay_asymmetry_profile_multi +############################################################ +def spike_delay_asymmetry_profile_multi(spike_trains, indices=None, + max_tau=None): + """ Computes the multi-variate spike delay asymmetry profile for a set of + spike trains. For each spike in the set of spike trains, the multi-variate + profile is defined as the sum of asymmetry values divided by the number of + spike trains pairs involving the spike train of containing this spike, + which is the number of spike trains minus one (N-1). + + :param spike_trains: list of :class:`pyspike.SpikeTrain` + :param indices: list of indices defining which spike trains to use, + if None all given spike trains are used (default=None) + :type indices: list or None + :param max_tau: Maximum coincidence window size. If 0 or `None`, the + coincidence window has no upper bound. + :returns: The multi-variate spike sync profile :math:`(t)` + :rtype: :class:`pyspike.function.DiscreteFunction` + + """ + prof_func = partial(spike_delay_asymmetry_profile, max_tau=max_tau) + average_prof, M = _generic_profile_multi(spike_trains, prof_func, + indices) + # average_dist.mul_scalar(1.0/M) # no normalization here! + return average_prof + + +############################################################ +# spike_delay_asymmetry_matrix +############################################################ +def spike_delay_asymmetry_matrix(spike_trains, indices=None, + interval=None, max_tau=None): + """ Computes the spike delay asymmetry matrix for the given spike trains. + """ + if indices is None: + indices = np.arange(len(spike_trains)) + indices = np.array(indices) + # check validity of indices + assert (indices < len(spike_trains)).all() and (indices >= 0).all(), \ + "Invalid index list." + # generate a list of possible index pairs + pairs = [(indices[i], j) for i in range(len(indices)) + for j in indices[i+1:]] + + distance_matrix = np.zeros((len(indices), len(indices))) + for i, j in pairs: + d = spike_delay_asymmetry(spike_trains[i], spike_trains[j], + interval, max_tau=max_tau) + distance_matrix[i, j] = d + distance_matrix[j, i] = -d + return distance_matrix + + +############################################################ +# optimal_asymmetry_order_from_D +############################################################ +def optimal_asymmetry_order_from_D(D, full_output=False): + """ finds the best sorting via simulated annealing. + Returns the optimal permutation p and A value. + Internal function, don't call directly! Use optimal_asymmetry_order + instead. + """ + N = len(D) + A = np.sum(np.triu(D, 0)) + + p = np.arange(N) + + T = 2*np.max(D) # starting temperature + T_end = 1E-5 * T # final temperature + alpha = 0.9 # cooling factor + total_iter = 0 + while T > T_end: + iterations = 0 + succ_iter = 0 + while iterations < 100*N and succ_iter < 10*N: + # exchange two rows and cols + ind1 = np.random.randint(N-1) + delta_A = -2*D[p[ind1], p[ind1+1]] + if delta_A > 0.0 or exp(delta_A/T) > np.random.random(): + # swap indices + p[ind1], p[ind1+1] = p[ind1+1], p[ind1] + A += delta_A + succ_iter += 1 + iterations += 1 + total_iter += iterations + T *= alpha # cool down + if succ_iter == 0: + break + if full_output: + return p, A, total_iter + else: + return p, A + + +############################################################ +# _optimal_asymmetry_order +############################################################ +def optimal_asymmetry_order(spike_trains, indices=None, interval=None, + max_tau=None, full_output=False): + """ finds the best sorting of the given spike trains via simulated + annealing. + Returns the optimal permutation p and A value. + """ + D = spike_delay_asymmetry_matrix(spike_trains, indices, interval, max_tau) + return optimal_asymmetry_order_from_D(D, full_output) + + +############################################################ +# reorder_asymmetry_matrix +############################################################ +def reorder_asymmetry_matrix(D, p): + N = len(D) + D_p = np.empty_like(D) + for n in xrange(N): + for m in xrange(N): + D_p[n, m] = D[p[n], p[m]] + return D_p diff --git a/pyspike/generic.py b/pyspike/generic.py index 2df34f1..515cbf4 100644 --- a/pyspike/generic.py +++ b/pyspike/generic.py @@ -37,13 +37,15 @@ def _generic_profile_multi(spike_trains, pair_distance_func, indices=None): """ L1 = len(pairs1) if L1 > 1: - dist_prof1 = divide_and_conquer(pairs1[:L1//2], pairs1[int(L1//2):]) + dist_prof1 = divide_and_conquer(pairs1[:L1//2], + pairs1[int(L1//2):]) else: dist_prof1 = pair_distance_func(spike_trains[pairs1[0][0]], spike_trains[pairs1[0][1]]) L2 = len(pairs2) if L2 > 1: - dist_prof2 = divide_and_conquer(pairs2[:L2//2], pairs2[int(L2//2):]) + dist_prof2 = divide_and_conquer(pairs2[:L2//2], + pairs2[int(L2//2):]) else: dist_prof2 = pair_distance_func(spike_trains[pairs2[0][0]], spike_trains[pairs2[0][1]]) diff --git a/setup.py b/setup.py index d853cdf..960c684 100644 --- a/setup.py +++ b/setup.py @@ -23,7 +23,8 @@ else: if os.path.isfile("pyspike/cython/cython_add.c") and \ os.path.isfile("pyspike/cython/cython_profiles.c") and \ - os.path.isfile("pyspike/cython/cython_distances.c"): + os.path.isfile("pyspike/cython/cython_distances.c") and \ + os.path.isfile("pyspike/directionality/cython/cython_directionality.c"): use_c = True else: use_c = False @@ -33,16 +34,26 @@ ext_modules = [] if use_cython: # Cython is available, compile .pyx -> .c ext_modules += [ - Extension("pyspike.cython.cython_add", ["pyspike/cython/cython_add.pyx"]), - Extension("pyspike.cython.cython_profiles", ["pyspike/cython/cython_profiles.pyx"]), - Extension("pyspike.cython.cython_distances", ["pyspike/cython/cython_distances.pyx"]), + Extension("pyspike.cython.cython_add", + ["pyspike/cython/cython_add.pyx"]), + Extension("pyspike.cython.cython_profiles", + ["pyspike/cython/cython_profiles.pyx"]), + Extension("pyspike.cython.cython_distances", + ["pyspike/cython/cython_distances.pyx"]), + Extension("pyspike.directionality.cython.cython_directionality", + ["pyspike/directionality/cython/cython_directionality.pyx"]) ] cmdclass.update({'build_ext': build_ext}) elif use_c: # c files are there, compile to binaries ext_modules += [ - Extension("pyspike.cython.cython_add", ["pyspike/cython/cython_add.c"]), - Extension("pyspike.cython.cython_profiles", ["pyspike/cython/cython_profiles.c"]), - Extension("pyspike.cython.cython_distances", ["pyspike/cython/cython_distances.c"]), + Extension("pyspike.cython.cython_add", + ["pyspike/cython/cython_add.c"]), + Extension("pyspike.cython.cython_profiles", + ["pyspike/cython/cython_profiles.c"]), + Extension("pyspike.cython.cython_distances", + ["pyspike/cython/cython_distances.c"]), + Extension("pyspike.directionality.cython.cython_directionality", + ["pyspike/directionality/cython/cython_directionality.c"]) ] # neither cython nor c files available -> automatic fall-back to python backend @@ -81,7 +92,8 @@ train similarity', ], package_data={ 'pyspike': ['cython/cython_add.c', 'cython/cython_profiles.c', - 'cython_distances.c'], + 'cython/cython_distances.c', + 'directionality/cython/cython_directionality.c'], 'test': ['Spike_testdata.txt'] } ) -- cgit v1.2.3 From eeb4918ec2181f136e85bce976ec46a35a74b8f1 Mon Sep 17 00:00:00 2001 From: Igor Gnatenko Date: Sun, 13 Dec 2015 10:55:30 +0100 Subject: py3: absolute_import Signed-off-by: Igor Gnatenko --- pyspike/DiscreteFunc.py | 6 +++--- pyspike/PieceWiseConstFunc.py | 6 +++--- pyspike/PieceWiseLinFunc.py | 8 ++++---- pyspike/__init__.py | 22 ++++++++++++---------- pyspike/directionality/__init__.py | 4 +++- pyspike/directionality/spike_train_order.py | 12 +++++++----- pyspike/isi_distance.py | 8 +++++--- pyspike/spike_distance.py | 8 +++++--- pyspike/spike_sync.py | 8 +++++--- 9 files changed, 47 insertions(+), 35 deletions(-) (limited to 'pyspike/__init__.py') diff --git a/pyspike/DiscreteFunc.py b/pyspike/DiscreteFunc.py index 9cc7bd5..55c0bc8 100644 --- a/pyspike/DiscreteFunc.py +++ b/pyspike/DiscreteFunc.py @@ -2,7 +2,7 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License -from __future__ import print_function +from __future__ import absolute_import, print_function import numpy as np import collections @@ -206,7 +206,7 @@ expected." # cython version try: - from cython.cython_add import add_discrete_function_cython as \ + from .cython.cython_add import add_discrete_function_cython as \ add_discrete_function_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -215,7 +215,7 @@ sure that PySpike is installed by running\n\ 'python setup.py build_ext --inplace'! \ \n Falling back to slow python backend.") # use python backend - from cython.python_backend import add_discrete_function_python as \ + from .cython.python_backend import add_discrete_function_python as \ add_discrete_function_impl self.x, self.y, self.mp = \ diff --git a/pyspike/PieceWiseConstFunc.py b/pyspike/PieceWiseConstFunc.py index 23ff536..5ce5f27 100644 --- a/pyspike/PieceWiseConstFunc.py +++ b/pyspike/PieceWiseConstFunc.py @@ -2,7 +2,7 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License -from __future__ import print_function +from __future__ import absolute_import, print_function import numpy as np import collections @@ -189,7 +189,7 @@ class PieceWiseConstFunc(object): # cython version try: - from cython.cython_add import add_piece_wise_const_cython as \ + from .cython.cython_add import add_piece_wise_const_cython as \ add_piece_wise_const_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -198,7 +198,7 @@ sure that PySpike is installed by running\n \ 'python setup.py build_ext --inplace'! \ \n Falling back to slow python backend.") # use python backend - from cython.python_backend import add_piece_wise_const_python as \ + from .cython.python_backend import add_piece_wise_const_python as \ add_piece_wise_const_impl self.x, self.y = add_piece_wise_const_impl(self.x, self.y, f.x, f.y) diff --git a/pyspike/PieceWiseLinFunc.py b/pyspike/PieceWiseLinFunc.py index 0d51c76..8145e63 100644 --- a/pyspike/PieceWiseLinFunc.py +++ b/pyspike/PieceWiseLinFunc.py @@ -2,7 +2,7 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License -from __future__ import print_function +from __future__ import absolute_import, print_function import numpy as np import collections @@ -222,13 +222,13 @@ class PieceWiseLinFunc: assert self.x[-1] == f.x[-1], "The functions have different intervals" # python implementation - # from python_backend import add_piece_wise_lin_python + # from .python_backend import add_piece_wise_lin_python # self.x, self.y1, self.y2 = add_piece_wise_lin_python( # self.x, self.y1, self.y2, f.x, f.y1, f.y2) # cython version try: - from cython.cython_add import add_piece_wise_lin_cython as \ + from .cython.cython_add import add_piece_wise_lin_cython as \ add_piece_wise_lin_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -237,7 +237,7 @@ sure that PySpike is installed by running\n \ 'python setup.py build_ext --inplace'! \n \ Falling back to slow python backend.") # use python backend - from cython.python_backend import add_piece_wise_lin_python as \ + from .cython.python_backend import add_piece_wise_lin_python as \ add_piece_wise_lin_impl self.x, self.y1, self.y2 = add_piece_wise_lin_impl( diff --git a/pyspike/__init__.py b/pyspike/__init__.py index 8d92ea4..335b1d3 100644 --- a/pyspike/__init__.py +++ b/pyspike/__init__.py @@ -4,27 +4,29 @@ Copyright 2014-2015, Mario Mulansky Distributed under the BSD License """ +from __future__ import absolute_import + __all__ = ["isi_distance", "spike_distance", "spike_sync", "psth", "spikes", "SpikeTrain", "PieceWiseConstFunc", "PieceWiseLinFunc", "DiscreteFunc", "directionality"] -from PieceWiseConstFunc import PieceWiseConstFunc -from PieceWiseLinFunc import PieceWiseLinFunc -from DiscreteFunc import DiscreteFunc -from SpikeTrain import SpikeTrain +from .PieceWiseConstFunc import PieceWiseConstFunc +from .PieceWiseLinFunc import PieceWiseLinFunc +from .DiscreteFunc import DiscreteFunc +from .SpikeTrain import SpikeTrain -from isi_distance import isi_profile, isi_distance, isi_profile_multi,\ +from .isi_distance import isi_profile, isi_distance, isi_profile_multi,\ isi_distance_multi, isi_distance_matrix -from spike_distance import spike_profile, spike_distance, spike_profile_multi,\ +from .spike_distance import spike_profile, spike_distance, spike_profile_multi,\ spike_distance_multi, spike_distance_matrix -from spike_sync import spike_sync_profile, spike_sync,\ +from .spike_sync import spike_sync_profile, spike_sync,\ spike_sync_profile_multi, spike_sync_multi, spike_sync_matrix -from psth import psth +from .psth import psth -from spikes import load_spike_trains_from_txt, spike_train_from_string, \ +from .spikes import load_spike_trains_from_txt, spike_train_from_string, \ merge_spike_trains, generate_poisson_spikes -import directionality as drct +from . import directionality as drct # define the __version__ following # http://stackoverflow.com/questions/17583443 diff --git a/pyspike/directionality/__init__.py b/pyspike/directionality/__init__.py index 6f74c50..6ea38b2 100644 --- a/pyspike/directionality/__init__.py +++ b/pyspike/directionality/__init__.py @@ -4,9 +4,11 @@ Copyright 2015, Mario Mulansky Distributed under the BSD License """ +from __future__ import absolute_import + __all__ = ["spike_train_order"] -from spike_train_order import spike_train_order_profile, \ +from .spike_train_order import spike_train_order_profile, \ spike_train_order, spike_train_order_profile_multi, \ spike_train_order_matrix, spike_order_values, \ optimal_spike_train_order, optimal_spike_train_order_from_matrix, \ diff --git a/pyspike/directionality/spike_train_order.py b/pyspike/directionality/spike_train_order.py index 892ffd0..44d931d 100644 --- a/pyspike/directionality/spike_train_order.py +++ b/pyspike/directionality/spike_train_order.py @@ -2,6 +2,8 @@ # Copyright 2015, Mario Mulansky # Distributed under the BSD License +from __future__ import absolute_import + import numpy as np from math import exp from functools import partial @@ -35,7 +37,7 @@ def spike_train_order_profile(spike_train1, spike_train2, max_tau=None): # cython implementation try: - from cython.cython_directionality import \ + from .cython.cython_directionality import \ spike_train_order_profile_cython as \ spike_train_order_profile_impl except ImportError: @@ -45,7 +47,7 @@ def spike_train_order_profile(spike_train1, spike_train2, max_tau=None): PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ Falling back to slow python backend.") # use python backend - from cython.directionality_python_backend import \ + from .cython.directionality_python_backend import \ spike_train_order_python as spike_train_order_profile_impl if max_tau is None: @@ -72,7 +74,7 @@ def spike_train_order(spike_train1, spike_train2, normalize=True, # distance over the whole interval is requested: use specific function # for optimal performance try: - from cython.cython_directionality import \ + from .cython.cython_directionality import \ spike_train_order_cython as spike_train_order_impl if max_tau is None: max_tau = 0.0 @@ -170,7 +172,7 @@ def spike_order_values(spike_trains, indices=None, # cython implementation try: - from cython.cython_directionality import \ + from .cython.cython_directionality import \ spike_order_values_cython as spike_order_values_impl except ImportError: raise NotImplementedError() @@ -179,7 +181,7 @@ def spike_order_values(spike_trains, indices=None, # PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ # Falling back to slow python backend.") # # use python backend -# from cython.python_backend import coincidence_python \ +# from .cython.python_backend import coincidence_python \ # as coincidence_profile_impl if max_tau is None: diff --git a/pyspike/isi_distance.py b/pyspike/isi_distance.py index e50f203..0ae7393 100644 --- a/pyspike/isi_distance.py +++ b/pyspike/isi_distance.py @@ -2,6 +2,8 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License +from __future__ import absolute_import + import pyspike from pyspike import PieceWiseConstFunc from pyspike.generic import _generic_profile_multi, _generic_distance_multi, \ @@ -32,7 +34,7 @@ def isi_profile(spike_train1, spike_train2): # load cython implementation try: - from cython.cython_profiles import isi_profile_cython \ + from .cython.cython_profiles import isi_profile_cython \ as isi_profile_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -40,7 +42,7 @@ def isi_profile(spike_train1, spike_train2): PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ Falling back to slow python backend.") # use python backend - from cython.python_backend import isi_distance_python \ + from .cython.python_backend import isi_distance_python \ as isi_profile_impl times, values = isi_profile_impl(spike_train1.get_spikes_non_empty(), @@ -74,7 +76,7 @@ def isi_distance(spike_train1, spike_train2, interval=None): # distance over the whole interval is requested: use specific function # for optimal performance try: - from cython.cython_distances import isi_distance_cython \ + from .cython.cython_distances import isi_distance_cython \ as isi_distance_impl return isi_distance_impl(spike_train1.get_spikes_non_empty(), diff --git a/pyspike/spike_distance.py b/pyspike/spike_distance.py index feea0c1..e418283 100644 --- a/pyspike/spike_distance.py +++ b/pyspike/spike_distance.py @@ -2,6 +2,8 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License +from __future__ import absolute_import + import pyspike from pyspike import PieceWiseLinFunc from pyspike.generic import _generic_profile_multi, _generic_distance_multi, \ @@ -32,7 +34,7 @@ def spike_profile(spike_train1, spike_train2): # cython implementation try: - from cython.cython_profiles import spike_profile_cython \ + from .cython.cython_profiles import spike_profile_cython \ as spike_profile_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -40,7 +42,7 @@ def spike_profile(spike_train1, spike_train2): PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ Falling back to slow python backend.") # use python backend - from cython.python_backend import spike_distance_python \ + from .cython.python_backend import spike_distance_python \ as spike_profile_impl times, y_starts, y_ends = spike_profile_impl( @@ -76,7 +78,7 @@ def spike_distance(spike_train1, spike_train2, interval=None): # distance over the whole interval is requested: use specific function # for optimal performance try: - from cython.cython_distances import spike_distance_cython \ + from .cython.cython_distances import spike_distance_cython \ as spike_distance_impl return spike_distance_impl(spike_train1.get_spikes_non_empty(), spike_train2.get_spikes_non_empty(), diff --git a/pyspike/spike_sync.py b/pyspike/spike_sync.py index 10ebdc7..3dc29ff 100644 --- a/pyspike/spike_sync.py +++ b/pyspike/spike_sync.py @@ -3,6 +3,8 @@ # Copyright 2014-2015, Mario Mulansky # Distributed under the BSD License +from __future__ import absolute_import + import numpy as np from functools import partial import pyspike @@ -37,7 +39,7 @@ def spike_sync_profile(spike_train1, spike_train2, max_tau=None): # cython implementation try: - from cython.cython_profiles import coincidence_profile_cython \ + from .cython.cython_profiles import coincidence_profile_cython \ as coincidence_profile_impl except ImportError: if not(pyspike.disable_backend_warning): @@ -45,7 +47,7 @@ def spike_sync_profile(spike_train1, spike_train2, max_tau=None): PySpike is installed by running\n 'python setup.py build_ext --inplace'!\n \ Falling back to slow python backend.") # use python backend - from cython.python_backend import coincidence_python \ + from .cython.python_backend import coincidence_python \ as coincidence_profile_impl if max_tau is None: @@ -73,7 +75,7 @@ def _spike_sync_values(spike_train1, spike_train2, interval, max_tau): # distance over the whole interval is requested: use specific function # for optimal performance try: - from cython.cython_distances import coincidence_value_cython \ + from .cython.cython_distances import coincidence_value_cython \ as coincidence_value_impl if max_tau is None: max_tau = 0.0 -- cgit v1.2.3 From 9061f2a0c13134e53f937d730295a421fd671ea3 Mon Sep 17 00:00:00 2001 From: Mario Mulansky Date: Mon, 14 Dec 2015 16:50:55 +0100 Subject: removed directionality from __init__ and setup.py --- pyspike/__init__.py | 2 -- setup.py | 11 +++-------- 2 files changed, 3 insertions(+), 10 deletions(-) (limited to 'pyspike/__init__.py') diff --git a/pyspike/__init__.py b/pyspike/__init__.py index 335b1d3..069090b 100644 --- a/pyspike/__init__.py +++ b/pyspike/__init__.py @@ -26,8 +26,6 @@ from .psth import psth from .spikes import load_spike_trains_from_txt, spike_train_from_string, \ merge_spike_trains, generate_poisson_spikes -from . import directionality as drct - # define the __version__ following # http://stackoverflow.com/questions/17583443 from pkg_resources import get_distribution, DistributionNotFound diff --git a/setup.py b/setup.py index a1ab122..8ef431a 100644 --- a/setup.py +++ b/setup.py @@ -23,8 +23,7 @@ else: if os.path.isfile("pyspike/cython/cython_add.c") and \ os.path.isfile("pyspike/cython/cython_profiles.c") and \ - os.path.isfile("pyspike/cython/cython_distances.c") and \ - os.path.isfile("pyspike/directionality/cython/cython_directionality.c"): + os.path.isfile("pyspike/cython/cython_distances.c"): use_c = True else: use_c = False @@ -39,9 +38,7 @@ if use_cython: # Cython is available, compile .pyx -> .c Extension("pyspike.cython.cython_profiles", ["pyspike/cython/cython_profiles.pyx"]), Extension("pyspike.cython.cython_distances", - ["pyspike/cython/cython_distances.pyx"]), - Extension("pyspike.directionality.cython.cython_directionality", - ["pyspike/directionality/cython/cython_directionality.pyx"]) + ["pyspike/cython/cython_distances.pyx"]) ] cmdclass.update({'build_ext': build_ext}) elif use_c: # c files are there, compile to binaries @@ -51,9 +48,7 @@ elif use_c: # c files are there, compile to binaries Extension("pyspike.cython.cython_profiles", ["pyspike/cython/cython_profiles.c"]), Extension("pyspike.cython.cython_distances", - ["pyspike/cython/cython_distances.c"]), - Extension("pyspike.directionality.cython.cython_directionality", - ["pyspike/directionality/cython/cython_directionality.c"]) + ["pyspike/cython/cython_distances.c"]) ] # neither cython nor c files available -> automatic fall-back to python backend -- cgit v1.2.3