From e9f00d71c1fe78045e6bcd5b1a2d857977f6bbef Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Mon, 22 Mar 2021 13:29:04 +0000 Subject: [PATCH 01/17] Attempt to allow tempopulsar object to be parsed TOAs directly rather than as a .tim file --- libstempo/libstempo.pyx | 139 ++++++++++++++++++++++++++++++++++++++-- 1 file changed, 135 insertions(+), 4 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index a5dfc1b..d247579 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -28,6 +28,8 @@ except ImportError: pass from libc cimport stdlib, stdio +from libc.string cimport strncpy + from cython cimport view import numpy @@ -602,7 +604,8 @@ def tempo2version(): cdef class tempopulsar: """tempopulsar(parfile, timefile=None, warnings=False, fixprefiterrors=True, - dofit=False, maxobs=None, units=False, ephem=None, t2cmethod=None)""" + dofit=False, maxobs=None, units=False, ephem=None, t2cmethod=None, + toas=None, toaerrs=None, observatory=None, obsfreq=1400)""" cpdef public object parfile cpdef public object timfile @@ -626,7 +629,9 @@ cdef class tempopulsar: def __cinit__(self, parfile, timfile=None, warnings=False, fixprefiterrors=True, dofit=False, maxobs=None, - units=False, ephem=None, clk=None, t2cmethod=None): + units=False, ephem=None, clk=None, t2cmethod=None, + toas=None, toaerrs=None, observatory=None, + obsfreq=1400): # initialize @@ -636,7 +641,10 @@ cdef class tempopulsar: # to save memory, only allocate space for this many pulsars and observations MAX_PSR = 1 - MAX_OBSN = MAX_OBSN_VAL if maxobs is None else maxobs + try: + MAX_OBSN = len(toas) + except TypeError: + MAX_OBSN = MAX_OBSN_VAL if maxobs is None else maxobs self.psr = stdlib.malloc(sizeof(pulsar)*MAX_PSR) initialise(self.psr,1) # 1 for no warnings @@ -652,6 +660,12 @@ cdef class tempopulsar: self._readfiles(parfile,timfile) os.unlink(timfile) + # set TOAs from input values + self.inputtoas = toas + self.inputtoaerrs = toaerrs + self.inputobservatory = observatory + self.inputobsfreq = obsfreq + # set tempo2 flags self.psr.rescaleErrChisq = 0 # do not rescale fit errors by sqrt(red. chisq) @@ -711,7 +725,7 @@ cdef class tempopulsar: if not os.path.isfile(parfile): raise IOError("Cannot find parfile {0}.".format(parfile)) - if not os.path.isfile(timfile): + if not os.path.isfile(timfile) and self.inputtoas is None: # hail Mary pass maybe = '../tim/{0}'.format(timfile) if os.path.isfile(maybe): @@ -857,6 +871,123 @@ cdef class tempopulsar: else: raise ValueError + property inputtoas: + """Get or set input TOAs""" + + def __get__(self): + return self.stoas + + def __set__(self, toas): + if toas is not None: + if isinstance(toas, (list, numpy.ndarray, tuple)): + toamjd = numpy.array(toas, dtype=numpy.float128) + elif isinstance(toas, (float, numpy.float128)): + toamjd = numpy.array([toas], dtype=numpy.float128) + else: + # check if using an astropy time object + try: + if isinstance(toas, Time): + toamjd = toas.mjd.astype(numpy.float128) # make sure in MJD + except NameError: + raise TypeError("Input TOAs are not of an allowed type") + + if isinstance(toamjd, numpy.float128): + # convert to array is a single value + toamjd = numpy.array([toamjd]) + + self.psr[0].nobs = len(toamjd) + + # set the values + self.stoas[:] = toamjd + self._input_toas = True + else: + self._input_toas = False + + property inputtoaerrs: + """Get or set input TOA errors""" + + def __get__(self): + return self.toaerrs + + def __set__(self, toaerrs): + cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) + _toaerr.strides[0] = sizeof(observation) + nptoaerr = numpy.asarray(_toaerr) + + if self._input_toas: + if toaerrs is None: + raise ValueError("TOA errors must be supplied with input TOAs") + + if toaerrs is not None: + if isinstance(toaerrs, (list, numpy.ndarray, tuple)): + if len(toaerrs) != self.psr[0].nobs: + raise ValueError("TOA errors must be same length as input TOAs") + + toaerr = numpy.array(toaerrs, dtype=numpy.float64) + elif isinstance(toaerrs, float): + # single value given + toaerr = numpy.array([toaerrs] * self.psr[0].nobs, dtype=numpy.float64) + else: + raise TypeError("Input TOA errors are not of an allowed type") + + nptoaerr[:] = toaerr + + property inputobservatory: + """Get or set input TOA observatory site""" + + def __get__(self): + return self.telescope() + + def __set__(self, obs): + if self._input_toas: + if obs is None: + raise ValueError("An observatory must be supplied with input TOAs") + + if isinstance(obs, (list, numpy.ndarray, tuple)): + if len(obs) != self.psr[0].nobs: + raise ValueError("Number of supplied observatories must match TOAs") + + # observories will be truncated at 99 characters to fit in telID values + obsv = numpy.array(obs, dtype="S99") + elif isinstance(obs, str): + # single value given + obsv = numpy.array([obs] * self.psr[0].nobs, dtype="S99") + else: + raise TypeError("Input TOA observatories are not of an allowed type") + + # set the observatories + for i in range(self.psr[0].nobs): + strncpy(self.psr[0].obsn[i].telID, obsv[i], 99) + + property inputobsfreq: + """Get or set the observation frequency (in MHz)""" + + def __get__(self): + return self.freqs + + def __set__(self, freq): + cdef double [:] _freqsarr = &(self.psr[0].obsn[0].freq) + _freqsarr.strides[0] = sizeof(observation) + npfreqs = numpy.asarray(_freqsarr) + + if self._input_toas: + if freq is None: + raise ValueError("Observing frequencies must be supplied with input TOAs") + + if isinstance(freq, (list, numpy.ndarray, tuple)): + if len(freq) != self.psr[0].nobs: + raise ValueError("Number of supplied observation frequencies must match TOAs") + + freqs = numpy.array(freq, dtype=numpy.float64) + elif isinstance(freq, (int, float)): + # single value given + freqs = numpy.array([freq] * self.psr[0].nobs, dtype=numpy.float64) + else: + raise TypeError("Input TOA observation frequencies are not of an allowed type") + + # set frequencies + npfreqs[:] = freqs + property name: """Get or set pulsar name.""" From 7555a08340554323d03c903f3475724dcc2c5766 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Mon, 22 Mar 2021 17:33:57 +0000 Subject: [PATCH 02/17] Some fixes --- libstempo/libstempo.pyx | 112 ++++++++++++++++++++++++++++++++-------- 1 file changed, 91 insertions(+), 21 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index d247579..c266a98 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -177,6 +177,7 @@ cdef extern from "tempo2.h": long long pulseN # Pulse number long double roemer # Roemer delay double shapiroDelaySun # Shapiro delay caused by the Sun + double phaseOffset # Phase offset ctypedef int param_label @@ -624,6 +625,11 @@ cdef class tempopulsar: cpdef public object noisemodel + cpdef object __input_toas # input TOAs + cpdef object __input_toaerrs # input TOA errors + cpdef object __input_observatory # input observatories + cpdef object __input_obsfreq # input observation frequencies + # TO DO: is cpdef required here? cpdef jumpval, jumperr @@ -639,6 +645,11 @@ cdef class tempopulsar: self.npsr = 1 + self.__input_toas = toas + self.__input_toaerrs = toaerrs + self.__input_observatory = observatory + self.__input_obsfreq = obsfreq + # to save memory, only allocate space for this many pulsars and observations MAX_PSR = 1 try: @@ -660,12 +671,6 @@ cdef class tempopulsar: self._readfiles(parfile,timfile) os.unlink(timfile) - # set TOAs from input values - self.inputtoas = toas - self.inputtoaerrs = toaerrs - self.inputobservatory = observatory - self.inputobsfreq = obsfreq - # set tempo2 flags self.psr.rescaleErrChisq = 0 # do not rescale fit errors by sqrt(red. chisq) @@ -725,7 +730,7 @@ cdef class tempopulsar: if not os.path.isfile(parfile): raise IOError("Cannot find parfile {0}.".format(parfile)) - if not os.path.isfile(timfile) and self.inputtoas is None: + if not os.path.isfile(timfile) and self.__input_toas is None: # hail Mary pass maybe = '../tim/{0}'.format(timfile) if os.path.isfile(maybe): @@ -804,8 +809,11 @@ cdef class tempopulsar: if self.psr[0].TNRedC != 0: self.noisemodel['nred'] = self.psr[0].TNRedC + # set TOAs from input values + self.inputtoas = self.__input_toas - readTimfile(self.psr,timFile,self.npsr) # load the arrival times (all pulsars) + if self.inputtoas is None: + readTimfile(self.psr,timFile,self.npsr) # load the arrival times (all pulsars) def _readpars(self,fixprefiterrors=True): cdef parameter *params = self.psr[0].param @@ -875,7 +883,7 @@ cdef class tempopulsar: """Get or set input TOAs""" def __get__(self): - return self.stoas + return self.stoas if self.__input_toas is not None else None def __set__(self, toas): if toas is not None: @@ -896,25 +904,67 @@ cdef class tempopulsar: toamjd = numpy.array([toamjd]) self.psr[0].nobs = len(toamjd) + self.nobs_ = len(toamjd) # set the values - self.stoas[:] = toamjd - self._input_toas = True - else: - self._input_toas = False + self._set_observation_from_input(toamjd) + + def _set_observation_from_input(self, toas): + """Fill in all observation values from input TOAs.""" + + cdef long double [:] _satday = &(self.psr[0].obsn[0].sat_day) + cdef long double [:] _satsec = &(self.psr[0].obsn[0].sat_sec) + cdef int [:] _deleted = &(self.psr[0].obsn[0].deleted) + cdef int [:] _nflags = &(self.psr[0].obsn[0].nFlags) + cdef double [:] _phaseoff = &(self.psr[0].obsn[0].phaseOffset) + cdef double [:] _dmerr = &(self.psr[0].obsn[0].toaDMErr) + cdef size_t obssize = sizeof(observation) + _satday.strides[0] = obssize + _satsec.strides[0] = obssize + _deleted.strides[0] = obssize + _nflags.strides[0] = obssize + _phaseoff.strides[0] = obssize + _dmerr.strides[0] = obssize + + # set the TOA values + self.stoas[:] = toas + + npsatday = numpy.asarray(_satday) + npsatsec = numpy.asarray(_satsec) + npdeleted = numpy.asarray(_deleted) + npphaseoff = numpy.asarray(_phaseoff) + npnflags = numpy.asarray(_nflags) + npdmerr = numpy.asarray(_dmerr) + + days = numpy.floor(toas).astype(numpy.float128) + npsatday[:] = days + npsatsec[:] = toas - days + + npdeleted[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npphaseoff[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + npnflags[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npdmerr[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + + # file in fake filename + for i in range(self.psr[0].nobs): + strncpy(&(self.psr[0].obsn[i].fname[0]), "FAKE", 4 * sizeof(char)) + + self.inputtoaerrs = self.__input_toaerrs + self.inputobservatory = self.__input_observatory + self.inputobsfreq = self.__input_obsfreq property inputtoaerrs: """Get or set input TOA errors""" def __get__(self): - return self.toaerrs + return self.toaerrs if self.inputtoas is not None else None def __set__(self, toaerrs): cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) _toaerr.strides[0] = sizeof(observation) nptoaerr = numpy.asarray(_toaerr) - if self._input_toas: + if self.__input_toas is not None: if toaerrs is None: raise ValueError("TOA errors must be supplied with input TOAs") @@ -939,7 +989,7 @@ cdef class tempopulsar: return self.telescope() def __set__(self, obs): - if self._input_toas: + if self.inputtoas is not None: if obs is None: raise ValueError("An observatory must be supplied with input TOAs") @@ -947,17 +997,17 @@ cdef class tempopulsar: if len(obs) != self.psr[0].nobs: raise ValueError("Number of supplied observatories must match TOAs") - # observories will be truncated at 99 characters to fit in telID values - obsv = numpy.array(obs, dtype="S99") + # observories will be truncated at 100 characters to fit in telID values + obsv = numpy.array(obs, dtype="S100") elif isinstance(obs, str): # single value given - obsv = numpy.array([obs] * self.psr[0].nobs, dtype="S99") + obsv = numpy.array([obs] * self.psr[0].nobs, dtype="S100") else: raise TypeError("Input TOA observatories are not of an allowed type") # set the observatories for i in range(self.psr[0].nobs): - strncpy(self.psr[0].obsn[i].telID, obsv[i], 99) + strncpy(&(self.psr[0].obsn[i].telID[0]), obsv[i], 100 * sizeof(char)) property inputobsfreq: """Get or set the observation frequency (in MHz)""" @@ -970,7 +1020,7 @@ cdef class tempopulsar: _freqsarr.strides[0] = sizeof(observation) npfreqs = numpy.asarray(_freqsarr) - if self._input_toas: + if self.inputtoas is not None: if freq is None: raise ValueError("Observing frequencies must be supplied with input TOAs") @@ -1523,6 +1573,26 @@ cdef class tempopulsar: return self._dimensionfy(res,u.s) if self.units else res + def phaseresiduals(self, updatebats=True, formresiduals=True, removemean=True): + """tempopulsar.phaseresiduals(updatebats=True,formresiduals=True,removemean=True) + + Returns phase residuals (in cycles) as a numpy.longdouble array (a copy of + current values). Will update TOAs/recompute residuals if + `updatebats`/`formresiduals` is True (default for both). Will remove residual + mean if `removemean` is True; first residual if `removemean` is 'first'; + weighted residual mean if `removemean` is 'weighted'.""" + + res = self.residuals( + updatebats=updatebats, + formresiduals=formresiduals, + removemean=removemean, + ) + + # convert to phase (in cycles) + res *= self["F0"].val + + return self._dimensionfy(res, u.s / u.s) if self.units else res + def formbats(self): formBatsAll(self.psr,self.npsr) From 0ffe3b7416fb8a5a8d7b3dbc8782ec300b55a410 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Mon, 22 Mar 2021 18:01:26 +0000 Subject: [PATCH 03/17] Allow phase to be accessed --- libstempo/libstempo.pyx | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index c266a98..16c39fd 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -178,6 +178,7 @@ cdef extern from "tempo2.h": long double roemer # Roemer delay double shapiroDelaySun # Shapiro delay caused by the Sun double phaseOffset # Phase offset + long double phase # the phase (cycles) ctypedef int param_label @@ -929,6 +930,7 @@ cdef class tempopulsar: # set the TOA values self.stoas[:] = toas + # initialise other required values for each observation npsatday = numpy.asarray(_satday) npsatsec = numpy.asarray(_satsec) npdeleted = numpy.asarray(_deleted) @@ -945,7 +947,7 @@ cdef class tempopulsar: npnflags[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) npdmerr[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - # file in fake filename + # fill in fake filename for i in range(self.psr[0].nobs): strncpy(&(self.psr[0].obsn[i].fname[0]), "FAKE", 4 * sizeof(char)) @@ -1884,6 +1886,23 @@ cdef class tempopulsar: return numpy.asarray(_pulseN) + def phase(self, updatebats=True,formresiduals=True,removemean=True): + """Return the pulse phase (first TOA is set to zero phase). + + Returns the pulse phase as a numpy array. Will update the + TOAs/recompute residuals if `updatebats`/`formresiduals` is True + (default for both). If that is requested, the residual mean is removed + `removemean` is True. All this just like in `residuals`. + """ + + cdef long double [:] _phase = &(self.psr[0].obsn[0].phase) + _phase.strides[0] = sizeof(observation) + + _ = self.residuals(updatebats=updatebats, formresiduals=formresiduals, + removemean=removemean) + + return numpy.asarray(_phase).copy() + def _fit(self, renormalize=True, extrapartials=None, include_noise=True): # exclude deleted points mask = self.deleted == 0 From 0396da8b923f9e0eadebbe6a95022e133e19dd73 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Tue, 23 Mar 2021 11:38:11 +0000 Subject: [PATCH 04/17] Add in the required setting of clock correction flags --- libstempo/libstempo.pyx | 46 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 41 insertions(+), 5 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 16c39fd..c0befe8 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -155,6 +155,8 @@ cdef extern from "tempo2.h": long double bbat # barycentric arrival time long double batCorr #update from sat-> bat long double pet # pulsar emission time + int clockCorr # = 1 for clock corrections to be applied, = 0 for BAT + int delayCorr # = 1 for time delay corrections to be applied, = 0 for BAT int deleted # 1 if observation deleted, -1 if not in fit long double prefitResidual long double residual @@ -179,6 +181,8 @@ cdef extern from "tempo2.h": double shapiroDelaySun # Shapiro delay caused by the Sun double phaseOffset # Phase offset long double phase # the phase (cycles) + double efac # Error multiplication factor + double equad # Value to add in quadrature ctypedef int param_label @@ -963,8 +967,15 @@ cdef class tempopulsar: def __set__(self, toaerrs): cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) - _toaerr.strides[0] = sizeof(observation) + cdef double [:] _efac = &(self.psr[0].obsn[0].efac) + cdef double [:] _equad = &(self.psr[0].obsn[0].equad) + cdef size_t obssize = sizeof(observation) + _toaerr.strides[0] = obssize + _efac.strides[0] = obssize + _equad.strides[0] = obssize nptoaerr = numpy.asarray(_toaerr) + npefac = numpy.asarray(_efac) + npequad = numpy.asarray(_equad) if self.__input_toas is not None: if toaerrs is None: @@ -978,12 +989,16 @@ cdef class tempopulsar: toaerr = numpy.array(toaerrs, dtype=numpy.float64) elif isinstance(toaerrs, float): # single value given - toaerr = numpy.array([toaerrs] * self.psr[0].nobs, dtype=numpy.float64) + toaerr = toaerrs * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) else: raise TypeError("Input TOA errors are not of an allowed type") nptoaerr[:] = toaerr + # currently set EFAC and EQUAD to zero by default + npefac[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + npequad[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + property inputobservatory: """Get or set input TOA observatory site""" @@ -991,6 +1006,15 @@ cdef class tempopulsar: return self.telescope() def __set__(self, obs): + cdef int [:] _clockcorr = &(self.psr[0].obsn[0].clockCorr) + cdef int [:] _delaycorr = &(self.psr[0].obsn[0].delayCorr) + cdef size_t obssize = sizeof(observation) + _clockcorr.strides[0] = obssize + _delaycorr.strides[0] = obssize + + npclockcorr = numpy.asarray(_clockcorr) + npdelaycorr = numpy.asarray(_delaycorr) + if self.inputtoas is not None: if obs is None: raise ValueError("An observatory must be supplied with input TOAs") @@ -1003,7 +1027,7 @@ cdef class tempopulsar: obsv = numpy.array(obs, dtype="S100") elif isinstance(obs, str): # single value given - obsv = numpy.array([obs] * self.psr[0].nobs, dtype="S100") + obsv = numpy.array([obs for _ in range(self.psr[0].nobs)], dtype="S100") else: raise TypeError("Input TOA observatories are not of an allowed type") @@ -1011,6 +1035,18 @@ cdef class tempopulsar: for i in range(self.psr[0].nobs): strncpy(&(self.psr[0].obsn[i].telID[0]), obsv[i], 100 * sizeof(char)) + # set which corrections to apply (taken from TEMPO2 readTimfile.C) + if obsv[i][0] == "@" or obsv[i] == "bat": + # times are barycentric arrival times anyway, so don't correct + npclockcorr[i] = 0 + npdelaycorr[i] = 0 + elif obsv[i] in ["STL", "STL_FBAT"]: + npclockcorr[i] = 0 # don't do clock corrections + npdelaycorr[i] = 1 + else: + npclockcorr[i] = 1 + npdelaycorr[i] = 1 + property inputobsfreq: """Get or set the observation frequency (in MHz)""" @@ -1033,7 +1069,7 @@ cdef class tempopulsar: freqs = numpy.array(freq, dtype=numpy.float64) elif isinstance(freq, (int, float)): # single value given - freqs = numpy.array([freq] * self.psr[0].nobs, dtype=numpy.float64) + freqs = freq * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) else: raise TypeError("Input TOA observation frequencies are not of an allowed type") @@ -1557,7 +1593,7 @@ cdef class tempopulsar: cdef long double [:] _res = &(self.psr[0].obsn[0].residual) _res.strides[0] = sizeof(observation) - if removemean not in [True,False,'weighted','first']: + if removemean not in [True, False, 'weighted', 'first']: raise ValueError("Argument 'removemean' should be True, False, 'first', or 'weighted'.") if updatebats: From fcc6eae48992cfe74b27ce5c36cb4f047eba9f98 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Tue, 23 Mar 2021 18:14:26 +0000 Subject: [PATCH 05/17] Allow use of refphs to set a reference observation for phase residuals --- libstempo/libstempo.pyx | 71 ++++++++++++++++++++++++++++++++++------- 1 file changed, 59 insertions(+), 12 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index c0befe8..0330dd3 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -118,6 +118,8 @@ cdef extern from "tempo2.h": enum: MAX_FIT enum: T2C_TEMPO enum: T2C_IAU2000B + enum: REFPHS_MEAN + enum: REFPHS_TZR enum: param_pepoch enum: param_raj enum: param_decj @@ -161,6 +163,7 @@ cdef extern from "tempo2.h": long double prefitResidual long double residual double toaErr # error on TOA (in us) + double origErr # original error on TOA after reading tim file (in us) double toaDMErr # error on TOA due to DM (in us) char **flagID # ID of flags char **flagVal # Value of flags @@ -283,6 +286,10 @@ cdef extern from "tempo2.h": double TNRedGam int TNRedC + # set reference observation + char refphs + char tzrsite[100] + void initialise(pulsar *psr, int noWarnings) void destroyOne(pulsar *psr) @@ -658,7 +665,7 @@ cdef class tempopulsar: # to save memory, only allocate space for this many pulsars and observations MAX_PSR = 1 try: - MAX_OBSN = len(toas) + MAX_OBSN = len(toas) + 1 # add spare in case needed for reference obs except TypeError: MAX_OBSN = MAX_OBSN_VAL if maxobs is None else maxobs @@ -967,13 +974,16 @@ cdef class tempopulsar: def __set__(self, toaerrs): cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) + cdef double [:] _origerr = &(self.psr[0].obsn[0].origErr) cdef double [:] _efac = &(self.psr[0].obsn[0].efac) cdef double [:] _equad = &(self.psr[0].obsn[0].equad) cdef size_t obssize = sizeof(observation) _toaerr.strides[0] = obssize + _origerr.strides[0] = obssize _efac.strides[0] = obssize _equad.strides[0] = obssize nptoaerr = numpy.asarray(_toaerr) + nporigerr = numpy.asarray(_toaerr) npefac = numpy.asarray(_efac) npequad = numpy.asarray(_equad) @@ -994,6 +1004,7 @@ cdef class tempopulsar: raise TypeError("Input TOA errors are not of an allowed type") nptoaerr[:] = toaerr + nporigerr[:] = numpy.copy(toaerr) # store copy as original values # currently set EFAC and EQUAD to zero by default npefac[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) @@ -1581,25 +1592,47 @@ cdef class tempopulsar: # --- residuals - def residuals(self,updatebats=True,formresiduals=True,removemean=True): + def residuals(self,updatebats=True,formresiduals=True,removemean=True, epoch=None, site=None, freq=None): """tempopulsar.residuals(updatebats=True,formresiduals=True,removemean=True) Returns residuals as a numpy.longdouble array (a copy of current values). Will update TOAs/recompute residuals if `updatebats`/`formresiduals` is True (default for both). Will remove residual mean if `removemean` is True; first residual if `removemean` is 'first'; weighted residual mean - if `removemean` is 'weighted'.""" + if `removemean` is 'weighted'. + + If `removemean` is `refphs` then the residuals will be referenced to the TZR + parameters (TZRMJD, TZRSITE, TZRFREQ) given in the parameter file, or, if + given, the `epoch`, `site` and `freq` values. + """ cdef long double [:] _res = &(self.psr[0].obsn[0].residual) _res.strides[0] = sizeof(observation) - if removemean not in [True, False, 'weighted', 'first']: - raise ValueError("Argument 'removemean' should be True, False, 'first', or 'weighted'.") + if removemean not in [True, False, 'weighted', 'first', 'refphs']: + raise ValueError("Argument 'removemean' should be True, False, 'first', 'weighted', or 'refphs'.") if updatebats: updateBatsAll(self.psr,self.npsr) if formresiduals: - formResiduals(self.psr,self.npsr,1 if removemean is True else 0) + if removemean != 'refphs': + formResiduals(self.psr,self.npsr,1 if removemean is True else 0) + else: + if epoch is None and site is None and freq is None and self.psr[0].refphs == REFPHS_TZR: + formResiduals(self.psr, self.npsr, 0) + else: + if epoch is not None: + # set reference epoch + self["TZRMJD"].val = epoch + if site is not None: + strncpy(&(self.psr[0].tzrsite[0]), str.encode(site), 100 * sizeof(char)) + if freq is not None: + self["TZRFRQ"] = freq + self.psr[0].refphs = REFPHS_TZR + + # re-do BATS (to get BAT for reference epoch) + self.formbats() + formResiduals(self.psr, self.npsr, 0) res = numpy.asarray(_res).copy() if removemean is 'weighted': @@ -1611,19 +1644,27 @@ cdef class tempopulsar: return self._dimensionfy(res,u.s) if self.units else res - def phaseresiduals(self, updatebats=True, formresiduals=True, removemean=True): + def phaseresiduals(self, updatebats=True, formresiduals=True, removemean=True, epoch=None, site=None, freq=None): """tempopulsar.phaseresiduals(updatebats=True,formresiduals=True,removemean=True) Returns phase residuals (in cycles) as a numpy.longdouble array (a copy of current values). Will update TOAs/recompute residuals if `updatebats`/`formresiduals` is True (default for both). Will remove residual mean if `removemean` is True; first residual if `removemean` is 'first'; - weighted residual mean if `removemean` is 'weighted'.""" + weighted residual mean if `removemean` is 'weighted'. + + If `removemean` is `refphs` then the residuals will be referenced to the TZR + parameters (TZRMJD, TZRSITE, TZRFREQ) given in the parameter file, or, if + given, the `epoch`, `site` and `freq` values. + """ res = self.residuals( updatebats=updatebats, formresiduals=formresiduals, removemean=removemean, + epoch=epoch, + site=site, + freq=freq, ) # convert to phase (in cycles) @@ -1922,20 +1963,26 @@ cdef class tempopulsar: return numpy.asarray(_pulseN) - def phase(self, updatebats=True,formresiduals=True,removemean=True): - """Return the pulse phase (first TOA is set to zero phase). + def phase(self, updatebats=True,formresiduals=True,removemean=True, epoch=None, site=None, freq=None): + """Return the pulse phase. Returns the pulse phase as a numpy array. Will update the TOAs/recompute residuals if `updatebats`/`formresiduals` is True (default for both). If that is requested, the residual mean is removed - `removemean` is True. All this just like in `residuals`. + `removemean` is True. + + If `removemean` is `refphs` then the residuals will be referenced to the TZR + parameters (TZRMJD, TZRSITE, TZRFREQ) given in the parameter file, or, if + given, the `epoch`, `site` and `freq` values. + + All this just like in `residuals`. """ cdef long double [:] _phase = &(self.psr[0].obsn[0].phase) _phase.strides[0] = sizeof(observation) _ = self.residuals(updatebats=updatebats, formresiduals=formresiduals, - removemean=removemean) + removemean=removemean, epoch=epoch, site=site, freq=freq) return numpy.asarray(_phase).copy() From 259458e2c73890e58f4964cbb8efe5c53ee67d25 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 10:45:19 +0000 Subject: [PATCH 06/17] Switch setting of input TOAs to use private methods rather than public properties --- libstempo/libstempo.pyx | 268 +++++++++++++++++++--------------------- 1 file changed, 129 insertions(+), 139 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 0330dd3..e8ee25d 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -822,9 +822,9 @@ cdef class tempopulsar: self.noisemodel['nred'] = self.psr[0].TNRedC # set TOAs from input values - self.inputtoas = self.__input_toas + self._inputtoas() - if self.inputtoas is None: + if self.__input_toas is None: readTimfile(self.psr,timFile,self.npsr) # load the arrival times (all pulsars) def _readpars(self,fixprefiterrors=True): @@ -891,35 +891,33 @@ cdef class tempopulsar: else: raise ValueError - property inputtoas: - """Get or set input TOAs""" + def _inputtoas(self): + """Set up site arrival times based on input TOAs.""" - def __get__(self): - return self.stoas if self.__input_toas is not None else None - - def __set__(self, toas): - if toas is not None: - if isinstance(toas, (list, numpy.ndarray, tuple)): - toamjd = numpy.array(toas, dtype=numpy.float128) - elif isinstance(toas, (float, numpy.float128)): - toamjd = numpy.array([toas], dtype=numpy.float128) - else: - # check if using an astropy time object - try: - if isinstance(toas, Time): - toamjd = toas.mjd.astype(numpy.float128) # make sure in MJD - except NameError: - raise TypeError("Input TOAs are not of an allowed type") + toas = self.__input_toas - if isinstance(toamjd, numpy.float128): - # convert to array is a single value - toamjd = numpy.array([toamjd]) + if toas is not None: + if isinstance(toas, (list, numpy.ndarray, tuple)): + toamjd = numpy.array(toas, dtype=numpy.float128) + elif isinstance(toas, (float, numpy.float128)): + toamjd = numpy.array([toas], dtype=numpy.float128) + else: + # check if using an astropy time object + try: + if isinstance(toas, Time): + toamjd = toas.mjd.astype(numpy.float128) # make sure in MJD + except NameError: + raise TypeError("Input TOAs are not of an allowed type") - self.psr[0].nobs = len(toamjd) - self.nobs_ = len(toamjd) + if isinstance(toamjd, numpy.float128): + # convert to array is a single value + toamjd = numpy.array([toamjd]) - # set the values - self._set_observation_from_input(toamjd) + self.psr[0].nobs = len(toamjd) + self.nobs_ = len(toamjd) + + # set the values + self._set_observation_from_input(toamjd) def _set_observation_from_input(self, toas): """Fill in all observation values from input TOAs.""" @@ -962,130 +960,122 @@ cdef class tempopulsar: for i in range(self.psr[0].nobs): strncpy(&(self.psr[0].obsn[i].fname[0]), "FAKE", 4 * sizeof(char)) - self.inputtoaerrs = self.__input_toaerrs - self.inputobservatory = self.__input_observatory - self.inputobsfreq = self.__input_obsfreq - - property inputtoaerrs: - """Get or set input TOA errors""" + self._inputtoaerrs() + self._inputobservatory() + self._inputobsfreq() - def __get__(self): - return self.toaerrs if self.inputtoas is not None else None - - def __set__(self, toaerrs): - cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) - cdef double [:] _origerr = &(self.psr[0].obsn[0].origErr) - cdef double [:] _efac = &(self.psr[0].obsn[0].efac) - cdef double [:] _equad = &(self.psr[0].obsn[0].equad) - cdef size_t obssize = sizeof(observation) - _toaerr.strides[0] = obssize - _origerr.strides[0] = obssize - _efac.strides[0] = obssize - _equad.strides[0] = obssize - nptoaerr = numpy.asarray(_toaerr) - nporigerr = numpy.asarray(_toaerr) - npefac = numpy.asarray(_efac) - npequad = numpy.asarray(_equad) - - if self.__input_toas is not None: - if toaerrs is None: - raise ValueError("TOA errors must be supplied with input TOAs") - - if toaerrs is not None: - if isinstance(toaerrs, (list, numpy.ndarray, tuple)): - if len(toaerrs) != self.psr[0].nobs: - raise ValueError("TOA errors must be same length as input TOAs") - - toaerr = numpy.array(toaerrs, dtype=numpy.float64) - elif isinstance(toaerrs, float): - # single value given - toaerr = toaerrs * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) - else: - raise TypeError("Input TOA errors are not of an allowed type") - - nptoaerr[:] = toaerr - nporigerr[:] = numpy.copy(toaerr) # store copy as original values - - # currently set EFAC and EQUAD to zero by default - npefac[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - npequad[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - - property inputobservatory: - """Get or set input TOA observatory site""" - - def __get__(self): - return self.telescope() - - def __set__(self, obs): - cdef int [:] _clockcorr = &(self.psr[0].obsn[0].clockCorr) - cdef int [:] _delaycorr = &(self.psr[0].obsn[0].delayCorr) - cdef size_t obssize = sizeof(observation) - _clockcorr.strides[0] = obssize - _delaycorr.strides[0] = obssize + def _inputtoaerrs(self): + """Set the TOA errors from input values.""" + + cdef double [:] _toaerr = &(self.psr[0].obsn[0].toaErr) + cdef double [:] _origerr = &(self.psr[0].obsn[0].origErr) + cdef double [:] _efac = &(self.psr[0].obsn[0].efac) + cdef double [:] _equad = &(self.psr[0].obsn[0].equad) + cdef size_t obssize = sizeof(observation) + _toaerr.strides[0] = obssize + _origerr.strides[0] = obssize + _efac.strides[0] = obssize + _equad.strides[0] = obssize + nptoaerr = numpy.asarray(_toaerr) + nporigerr = numpy.asarray(_toaerr) + npefac = numpy.asarray(_efac) + npequad = numpy.asarray(_equad) + + if self.__input_toas is not None: + toaerrs = self.__input_toaerrs + + if toaerrs is None: + raise ValueError("TOA errors must be supplied with input TOAs") + + if toaerrs is not None: + if isinstance(toaerrs, (list, numpy.ndarray, tuple)): + if len(toaerrs) != self.psr[0].nobs: + raise ValueError("TOA errors must be same length as input TOAs") + + toaerr = numpy.array(toaerrs, dtype=numpy.float64) + elif isinstance(toaerrs, float): + # single value given + toaerr = toaerrs * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) + else: + raise TypeError("Input TOA errors are not of an allowed type") - npclockcorr = numpy.asarray(_clockcorr) - npdelaycorr = numpy.asarray(_delaycorr) + nptoaerr[:] = toaerr + nporigerr[:] = numpy.copy(toaerr) # store copy as original values - if self.inputtoas is not None: - if obs is None: - raise ValueError("An observatory must be supplied with input TOAs") + # currently set EFAC and EQUAD to zero by default + npefac[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + npequad[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - if isinstance(obs, (list, numpy.ndarray, tuple)): - if len(obs) != self.psr[0].nobs: - raise ValueError("Number of supplied observatories must match TOAs") + def _inputobservatory(self): + """Set the input TOA observatory site""" - # observories will be truncated at 100 characters to fit in telID values - obsv = numpy.array(obs, dtype="S100") - elif isinstance(obs, str): - # single value given - obsv = numpy.array([obs for _ in range(self.psr[0].nobs)], dtype="S100") + cdef int [:] _clockcorr = &(self.psr[0].obsn[0].clockCorr) + cdef int [:] _delaycorr = &(self.psr[0].obsn[0].delayCorr) + cdef size_t obssize = sizeof(observation) + _clockcorr.strides[0] = obssize + _delaycorr.strides[0] = obssize + + npclockcorr = numpy.asarray(_clockcorr) + npdelaycorr = numpy.asarray(_delaycorr) + + if self.__input_toas is not None: + obs = self.__input_observatory + if obs is None: + raise ValueError("An observatory must be supplied with input TOAs") + + if isinstance(obs, (list, numpy.ndarray, tuple)): + if len(obs) != self.psr[0].nobs: + raise ValueError("Number of supplied observatories must match TOAs") + + # observories will be truncated at 100 characters to fit in telID values + obsv = numpy.array(obs, dtype="S100") + elif isinstance(obs, str): + # single value given + obsv = numpy.array([obs for _ in range(self.psr[0].nobs)], dtype="S100") + else: + raise TypeError("Input TOA observatories are not of an allowed type") + + # set the observatories + for i in range(self.psr[0].nobs): + strncpy(&(self.psr[0].obsn[i].telID[0]), obsv[i], 100 * sizeof(char)) + + # set which corrections to apply (taken from TEMPO2 readTimfile.C) + if obsv[i][0] == "@" or obsv[i] == "bat": + # times are barycentric arrival times anyway, so don't correct + npclockcorr[i] = 0 + npdelaycorr[i] = 0 + elif obsv[i] in ["STL", "STL_FBAT"]: + npclockcorr[i] = 0 # don't do clock corrections + npdelaycorr[i] = 1 else: - raise TypeError("Input TOA observatories are not of an allowed type") - - # set the observatories - for i in range(self.psr[0].nobs): - strncpy(&(self.psr[0].obsn[i].telID[0]), obsv[i], 100 * sizeof(char)) - - # set which corrections to apply (taken from TEMPO2 readTimfile.C) - if obsv[i][0] == "@" or obsv[i] == "bat": - # times are barycentric arrival times anyway, so don't correct - npclockcorr[i] = 0 - npdelaycorr[i] = 0 - elif obsv[i] in ["STL", "STL_FBAT"]: - npclockcorr[i] = 0 # don't do clock corrections - npdelaycorr[i] = 1 - else: - npclockcorr[i] = 1 - npdelaycorr[i] = 1 - - property inputobsfreq: - """Get or set the observation frequency (in MHz)""" + npclockcorr[i] = 1 + npdelaycorr[i] = 1 - def __get__(self): - return self.freqs + def _inputobsfreq(self): + """Set the input observation frequency (in MHz)""" - def __set__(self, freq): - cdef double [:] _freqsarr = &(self.psr[0].obsn[0].freq) - _freqsarr.strides[0] = sizeof(observation) - npfreqs = numpy.asarray(_freqsarr) + cdef double [:] _freqsarr = &(self.psr[0].obsn[0].freq) + _freqsarr.strides[0] = sizeof(observation) + npfreqs = numpy.asarray(_freqsarr) - if self.inputtoas is not None: - if freq is None: - raise ValueError("Observing frequencies must be supplied with input TOAs") + if self.__input_toas is not None: + freq = self.__input_obsfreq + if freq is None: + raise ValueError("Observing frequencies must be supplied with input TOAs") - if isinstance(freq, (list, numpy.ndarray, tuple)): - if len(freq) != self.psr[0].nobs: - raise ValueError("Number of supplied observation frequencies must match TOAs") + if isinstance(freq, (list, numpy.ndarray, tuple)): + if len(freq) != self.psr[0].nobs: + raise ValueError("Number of supplied observation frequencies must match TOAs") - freqs = numpy.array(freq, dtype=numpy.float64) - elif isinstance(freq, (int, float)): - # single value given - freqs = freq * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) - else: - raise TypeError("Input TOA observation frequencies are not of an allowed type") + freqs = numpy.array(freq, dtype=numpy.float64) + elif isinstance(freq, (int, float)): + # single value given + freqs = freq * numpy.ones(self.psr[0].nobs, dtype=numpy.float64) + else: + raise TypeError("Input TOA observation frequencies are not of an allowed type") - # set frequencies - npfreqs[:] = freqs + # set frequencies + npfreqs[:] = freqs property name: """Get or set pulsar name.""" From 9484921a2b6544fa2b4dab2f274703e4f028d911 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 12:02:28 +0000 Subject: [PATCH 07/17] Initialise jump parameters to defaults --- libstempo/libstempo.pyx | 23 ++++++++++++++++++++++- 1 file changed, 22 insertions(+), 1 deletion(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index e8ee25d..2545ff6 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -114,6 +114,7 @@ cdef extern from "tempo2.h": enum: MAX_OBSN_VAL enum: MAX_PARAMS enum: MAX_JUMPS + enum: MAX_FLAGS enum: MAX_FLAG_LEN enum: MAX_FIT enum: T2C_TEMPO @@ -186,6 +187,10 @@ cdef extern from "tempo2.h": long double phase # the phase (cycles) double efac # Error multiplication factor double equad # Value to add in quadrature + int jump[MAX_FLAGS] # Jump region + int obsNjump # Number of jumps for this observation + int fdjump[MAX_FLAGS] + int obsNfdjump ctypedef int param_label @@ -649,7 +654,7 @@ cdef class tempopulsar: fixprefiterrors=True, dofit=False, maxobs=None, units=False, ephem=None, clk=None, t2cmethod=None, toas=None, toaerrs=None, observatory=None, - obsfreq=1400): + obsfreq=1440): # initialize @@ -928,6 +933,10 @@ cdef class tempopulsar: cdef int [:] _nflags = &(self.psr[0].obsn[0].nFlags) cdef double [:] _phaseoff = &(self.psr[0].obsn[0].phaseOffset) cdef double [:] _dmerr = &(self.psr[0].obsn[0].toaDMErr) + cdef int [:] _obsNjump = &(self.psr[0].obsn[0].obsNjump) + cdef int [:] _obsNfdjump = &(self.psr[0].obsn[0].obsNfdjump) + cdef int [:] _jump = &(self.psr[0].obsn[0].jump[0]) + cdef int [:] _fdjump = &(self.psr[0].obsn[0].fdjump[0]) cdef size_t obssize = sizeof(observation) _satday.strides[0] = obssize _satsec.strides[0] = obssize @@ -935,6 +944,10 @@ cdef class tempopulsar: _nflags.strides[0] = obssize _phaseoff.strides[0] = obssize _dmerr.strides[0] = obssize + _obsNjump.strides[0] = obssize + _obsNfdjump.strides[0] = obssize + _jump.strides[0] = obssize + _fdjump.strides[0] = obssize # set the TOA values self.stoas[:] = toas @@ -946,6 +959,10 @@ cdef class tempopulsar: npphaseoff = numpy.asarray(_phaseoff) npnflags = numpy.asarray(_nflags) npdmerr = numpy.asarray(_dmerr) + npnjump = numpy.asarray(_obsNjump) + npnfdjump = numpy.asarray(_obsNfdjump) + npjump = numpy.asarray(_jump) + npfdjump = numpy.asarray(_fdjump) days = numpy.floor(toas).astype(numpy.float128) npsatday[:] = days @@ -955,6 +972,10 @@ cdef class tempopulsar: npphaseoff[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) npnflags[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) npdmerr[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + npnjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int) + npnfdjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int) + npjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npfdjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) # fill in fake filename for i in range(self.psr[0].nobs): From 7410a0b3fc917bf5ac57aa17b27d59ce54e0acfd Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 15:16:20 +0000 Subject: [PATCH 08/17] Add test functions for fake pulsar generation --- tests/test_fakepulsar.py | 244 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 244 insertions(+) create mode 100644 tests/test_fakepulsar.py diff --git a/tests/test_fakepulsar.py b/tests/test_fakepulsar.py new file mode 100644 index 0000000..1586271 --- /dev/null +++ b/tests/test_fakepulsar.py @@ -0,0 +1,244 @@ +import shutil +import unittest +from pathlib import Path +from astropy.time import Time + +import libstempo as t2 +import numpy as np + +from libstempo.toasim import fakepulsar + +DATA_PATH = t2.__path__[0] + "/data/" + +TMP_DIR = Path("test_fake_output") +TMP_DIR.mkdir(exist_ok=True) + + +class TestFakePulsar(unittest.TestCase): + @classmethod + def setUpClass(cls): + cls.obstimes = np.arange(53000, 54800, 10, dtype=np.float128) + cls.toaerr = 1e-3 + cls.freq = 1440.0 + cls.observatory = "ao" + cls.parfile = DATA_PATH + "/J1909-3744_NANOGrav_dfg+12.par" + + # create a fake pulsar using fakepulsar + cls.fakepsr = fakepulsar( + parfile=cls.parfile, + obstimes=cls.obstimes, + toaerr=cls.toaerr, + freq=cls.freq, + observatory=cls.observatory, + iters=0, + ) + + # create a fake pulsar using tempopulsar + cls.fakepsrtp = t2.tempopulsar( + parfile=cls.parfile, + toas=cls.obstimes, + toaerrs=cls.toaerr, + observatory=cls.observatory, + obsfreq=cls.freq, + dofit=False, + ) + + @classmethod + def tearDownClass(cls): + shutil.rmtree(TMP_DIR) + + def test_exceptions(self): + """ + Test exceptions when creating a fake pulsar via tempopulsar. + """ + + # pass string rather than number for TOA + with self.assertRaises(TypeError): + t2.tempopulsar( + parfile=self.parfile, toas="blah", toaerrs=self.toaerr, observatory=self.observatory, obsfreq=self.freq, + ) + + # pass string rather than number for TOA error + with self.assertRaises(TypeError): + t2.tempopulsar( + parfile=self.parfile, + toas=self.obstimes, + toaerrs="blah", + observatory=self.observatory, + obsfreq=self.freq, + ) + + # pass integer rather than string for observatory + with self.assertRaises(TypeError): + t2.tempopulsar( + parfile=self.parfile, toas=self.obstimes, toaerrs=self.toaerr, observatory=0, obsfreq=self.freq, + ) + + # pass string rather than number for obsfreq + with self.assertRaises(TypeError): + t2.tempopulsar( + parfile=self.parfile, + toas=self.obstimes, + toaerrs=self.toaerr, + observatory=self.observatory, + obsfreq="blah", + ) + + # test exceptions if values are not given + kwargs = { + "parfile": self.parfile, + "toas": self.obstimes, + "toaerrs": self.toaerr, + "observatory": self.observatory, + "obsfreq": self.freq, + } + + for key in ["toaerrs", "observatory", "obsfreq"]: + copykwargs = kwargs.copy() + copykwargs[key] = None + with self.assertRaises(ValueError): + t2.tempopulsar(**copykwargs) + + # test exceptions for inconsistent lengths + for key in ["toaerrs", "observatory", "obsfreq"]: + copykwargs = kwargs.copy() + # set to two value list + copykwargs[key] = [kwargs[key] for _ in range(2)] + with self.assertRaises(ValueError): + t2.tempopulsar(**copykwargs) + + def test_astropy_array(self): + """ + Test passing TOAs as an astropy Time array. + """ + + times = Time(self.obstimes, format="mjd", scale="utc") + + psr = t2.tempopulsar( + parfile=self.parfile, toas=times, toaerrs=self.toaerr, observatory=self.observatory, obsfreq=self.freq, + ) + + self.assertEqual(len(self.obstimes), psr.nobs) + self.assertTrue(np.all(self.obstimes == self.fakepsr.stoas)) + self.assertTrue(np.all(psr.stoas == self.fakepsr.stoas)) + self.assertEqual(psr.stoas[0].dtype, np.float128) + + def test_single_values(self): + """ + Test passing single value TOAs. + """ + + psr = t2.tempopulsar( + parfile=self.parfile, + toas=self.obstimes[0], + toaerrs=self.toaerr, + observatory=self.observatory, + obsfreq=self.freq, + ) + + self.assertEqual(psr.nobs, 1) + self.assertEqual(len(psr.stoas), 1) + self.assertTrue(np.all(self.fakepsr.stoas[0] == psr.stoas[0])) + self.assertEqual(psr.stoas[0].dtype, np.float128) + + def test_toa_errs(self): + """ + Test TOA errors are set correctly. + """ + + self.assertTrue(np.all(self.fakepsr.toaerrs == self.toaerr)) + self.assertTrue(np.all(self.fakepsrtp.toaerrs == self.toaerr)) + + def test_observatory(self): + """ + Test observatory values are set correctly. + """ + + self.assertTrue(np.all(self.fakepsr.telescope() == str.encode(self.observatory))) + self.assertTrue(np.all(self.fakepsrtp.telescope() == str.encode(self.observatory))) + + def test_frequency(self): + """ + Test frequency values are set correctly. + """ + + self.assertTrue(np.all(self.fakepsr.freqs == self.freq)) + self.assertTrue(np.all(self.fakepsrtp.freqs == self.freq)) + + def test_sat_parts(self): + """ + Test SAT day and second values are set correctly. + """ + + self.assertTrue(np.all(self.fakepsr.satDay() == self.fakepsrtp.satDay())) + self.assertTrue(np.all(self.fakepsr.satSec() == self.fakepsrtp.satSec())) + + def test_deleted(self): + """ + Test deleted values are equivalent. + """ + + self.assertTrue(np.all(self.fakepsr.deleted == self.fakepsrtp.deleted)) + self.assertTrue(np.all(self.fakepsr.deleted == np.zeros(len(self.obstimes), dtype=np.int32))) + + def test_pulsar_params(self): + """ + Test pulsar parameters have been read in the same in both cases. + """ + + self.assertEqual(self.fakepsr.pars("all"), self.fakepsrtp.pars("all")) + + for key in self.fakepsr.pars("all"): + self.assertEqual(self.fakepsr[key].val, self.fakepsrtp[key].val) + + def test_fake_pulsar(self): + """ + Test fakepulsar function vs passing inputs directly to tempopulsar. + """ + + self.assertEqual(self.fakepsrtp.nobs, len(self.obstimes)) + self.assertEqual(self.fakepsrtp.nobs, self.fakepsr.nobs) + self.assertEqual(self.fakepsrtp.name, "1909-3744") + self.assertEqual(self.fakepsr.name, "1909-3744") + + self.assertTrue(np.all(self.fakepsrtp.stoas == self.obstimes)) + self.assertTrue(np.all(self.fakepsrtp.stoas == self.fakepsr.stoas)) + self.assertTrue(np.all(self.fakepsrtp.toas() == self.fakepsr.toas())) + + # check residuals are the same + self.assertTrue(np.all(self.fakepsrtp.residuals() == self.fakepsr.residuals())) + self.assertTrue(np.all(self.fakepsrtp.phaseresiduals() == self.fakepsr.phaseresiduals())) + + def test_write_tim(self): + """ + Test writing out the .tim file and then reading it back in. + """ + + self.fakepsr.savetim(str(TMP_DIR / "fakepsr.tim")) + self.fakepsrtp.savetim(str(TMP_DIR / "fakepsrtp.tim")) + + self.assertTrue((TMP_DIR / "fakepsr.tim").exists()) + self.assertTrue((TMP_DIR / "fakepsrtp.tim").exists()) + + print("Here") + + newfakepsr = t2.tempopulsar(parfile=self.parfile, timfile=str(TMP_DIR / "fakepsr.tim"), dofit=False) + newfakepsrtp = t2.tempopulsar(parfile=self.parfile, timfile=str(TMP_DIR / "fakepsrtp.tim"), dofit=False) + + print("Here") + + self.assertEqual(newfakepsrtp.nobs, len(self.obstimes)) + self.assertEqual(newfakepsrtp.nobs, newfakepsr.nobs) + self.assertEqual(newfakepsrtp.name, "1909-3744") + self.assertEqual(newfakepsr.name, "1909-3744") + + self.assertTrue(np.all(newfakepsrtp.stoas == self.obstimes)) + self.assertTrue(np.all(newfakepsrtp.stoas == self.fakepsrtp.stoas)) + self.assertTrue(np.all(newfakepsrtp.toas() == self.fakepsrtp.toas())) + self.assertTrue(np.all(newfakepsr.stoas == self.fakepsrtp.stoas)) + self.assertTrue(np.all(newfakepsr.toas() == newfakepsrtp.toas())) + + # check residuals are the same + self.assertTrue(np.all(newfakepsrtp.residuals() == self.fakepsrtp.residuals())) + self.assertTrue(np.all(newfakepsrtp.phaseresiduals() == self.fakepsrtp.phaseresiduals())) + self.assertTrue(np.all(newfakepsrtp.residuals() == newfakepsr.residuals())) From 5c39e56d9de7c623a540f59d38710c93633cbde1 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 15:17:02 +0000 Subject: [PATCH 09/17] Some minor code fixes --- libstempo/libstempo.pyx | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 2545ff6..5944324 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -621,7 +621,7 @@ def tempo2version(): # but all attributes must be defined in the code cdef class tempopulsar: - """tempopulsar(parfile, timefile=None, warnings=False, fixprefiterrors=True, + """tempopulsar(parfile, timfile=None, warnings=False, fixprefiterrors=True, dofit=False, maxobs=None, units=False, ephem=None, t2cmethod=None, toas=None, toaerrs=None, observatory=None, obsfreq=1400)""" @@ -643,7 +643,7 @@ cdef class tempopulsar: cpdef public object noisemodel cpdef object __input_toas # input TOAs - cpdef object __input_toaerrs # input TOA errors + cpdef object __input_toaerrs # input TOA errors (us) cpdef object __input_observatory # input observatories cpdef object __input_obsfreq # input observation frequencies @@ -914,9 +914,12 @@ cdef class tempopulsar: except NameError: raise TypeError("Input TOAs are not of an allowed type") - if isinstance(toamjd, numpy.float128): - # convert to array is a single value - toamjd = numpy.array([toamjd]) + try: + if isinstance(toamjd, numpy.float128): + # convert to array is a single value + toamjd = numpy.array([toamjd]) + except UnboundLocalError: + raise TypeError("Input TOAs are not of an allowed type") self.psr[0].nobs = len(toamjd) self.nobs_ = len(toamjd) @@ -968,14 +971,14 @@ cdef class tempopulsar: npsatday[:] = days npsatsec[:] = toas - days - npdeleted[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npdeleted[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int32) npphaseoff[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - npnflags[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npnflags[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int32) npdmerr[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) - npnjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int) - npnfdjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int) - npjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) - npfdjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int) + npnjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int32) + npnfdjump[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.int32) + npjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int32) + npfdjump[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.int32) # fill in fake filename for i in range(self.psr[0].nobs): @@ -998,7 +1001,7 @@ cdef class tempopulsar: _efac.strides[0] = obssize _equad.strides[0] = obssize nptoaerr = numpy.asarray(_toaerr) - nporigerr = numpy.asarray(_toaerr) + nporigerr = numpy.asarray(_origerr) npefac = numpy.asarray(_efac) npequad = numpy.asarray(_equad) @@ -1023,8 +1026,8 @@ cdef class tempopulsar: nptoaerr[:] = toaerr nporigerr[:] = numpy.copy(toaerr) # store copy as original values - # currently set EFAC and EQUAD to zero by default - npefac[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) + # currently set EFAC and EQUAD to ones and zeros by default, respectively + npefac[:] = numpy.ones(self.psr[0].nobs, dtype=numpy.float64) npequad[:] = numpy.zeros(self.psr[0].nobs, dtype=numpy.float64) def _inputobservatory(self): @@ -2182,7 +2185,7 @@ cdef class tempopulsar: stdio.sprintf(timFile,"%s",timfile_bytes) - writeTim(timFile,&(self.psr[0]),'tempo2'); + writeTim(timFile,&(self.psr[0]),'tempo2') # access tempo2 utility function From cbe76f6f23cbb1e421c86c3089d610517e22f9e0 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 17:51:59 +0000 Subject: [PATCH 10/17] Update test --- tests/test_fakepulsar.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/tests/test_fakepulsar.py b/tests/test_fakepulsar.py index 1586271..18ca273 100644 --- a/tests/test_fakepulsar.py +++ b/tests/test_fakepulsar.py @@ -220,13 +220,12 @@ def test_write_tim(self): self.assertTrue((TMP_DIR / "fakepsr.tim").exists()) self.assertTrue((TMP_DIR / "fakepsrtp.tim").exists()) - print("Here") + t2.purgetim(str(TMP_DIR / "fakepsr.tim")) + t2.purgetim(str(TMP_DIR / "fakepsrtp.tim")) newfakepsr = t2.tempopulsar(parfile=self.parfile, timfile=str(TMP_DIR / "fakepsr.tim"), dofit=False) newfakepsrtp = t2.tempopulsar(parfile=self.parfile, timfile=str(TMP_DIR / "fakepsrtp.tim"), dofit=False) - print("Here") - self.assertEqual(newfakepsrtp.nobs, len(self.obstimes)) self.assertEqual(newfakepsrtp.nobs, newfakepsr.nobs) self.assertEqual(newfakepsrtp.name, "1909-3744") From e7261b62ace182f342ffe5b94228983166314386 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 17:52:25 +0000 Subject: [PATCH 11/17] Update notebook to include example of passing TOAs directly to the tempopulsar object --- demo/libstempo-toasim-demo.ipynb | 76 ++++++++++++++++++++++++++------ 1 file changed, 63 insertions(+), 13 deletions(-) diff --git a/demo/libstempo-toasim-demo.ipynb b/demo/libstempo-toasim-demo.ipynb index 3b834d3..d7f99c9 100644 --- a/demo/libstempo-toasim-demo.ipynb +++ b/demo/libstempo-toasim-demo.ipynb @@ -66,7 +66,7 @@ "text": [ "Python version : 3.8.8\n", "libstempo version: 2.3.5\n", - "Tempo2 version : 2020.11.1\n" + "Tempo2 version : 2020.7.1\n" ] } ], @@ -90,7 +90,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -125,7 +125,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -161,7 +161,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -196,7 +196,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAw0AAAIqCAYAAABmP6baAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAABYlAAAWJQFJUiTwAACEOklEQVR4nO3de5xcdX3/8fdnN7tLdjdckg0QEXIpBKnEn78QJYmIKGAh0CJa0toU8IKwP6Ig2uKNClhtLVqRtKHhYoXEiCYiUiHQChi5LdAkVgJVAuZCwADZLJfsbtjd7H5/f5xzJmfOnDkzszu33Xk9H495zO65zDkzZy7nc76f7+drzjkBAAAAQDZ1ld4BAAAAANWNoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGoIaY2QQz+zMz+3szu8fMOs3M+be35fkY88xslZn9wcz6zOwlM/upmb0vx3pbQ9vKdvubLOueZWbfNbOHzWybmfX6t2fN7HtmNns4r8dwmNkRZvZZM/u5mT3vvwa7zew3ZvZNM5uSx2MM6zUEisnMmszsT8zsCjO7038/Bp/F0wp4nEYz+7SZ/crMdprZm/5n414z+3wR9/e7of1bm2PZNjP7RzN7ysx6zOx1M/tv/7PbUKx9AmqJOecqvQ8AysTMPiTpjiyzj3HO/S7H+l+Q9I+STJKT9Jqk/SXV+/9/yTn3T1nW3SppqqRXJfVn2cTVzrl/i1n3d5KODk16TVKrpHH+/0OSvuCc+3bS/o+UmR0uaZu85x94Q1KLvNdA8p7fR5xzv8zyGMN+DYFiMrN3Svp1ltmnO+fuzeMxZki6W1Jw0WGvpG5JB/r/DzrnxsWsWhAzO07S49r3OfuVc+6kLMv+H0n3SAoC+G55F0mb/f+fkHSKc273SPcLqCW0NAC15xVJayRdLenCfFcysz+T9E15J7u3SJrinJso6SBJV/iLfdPMFuR4qA875w7NcssIGHw/lvQJSTMlNTnnDpLUJOn/yjthqZP0LTM7Md/n4z8nZ2aFXDkJTljulnSOpInOuQPknYwskLRF3uvxMzM7NGZ7xXoNgWJ5TdL98t6Xf17IimbWJmmtvIBhg6RTJe3nfz5bJb1X0r+MdAfNrE7SDfKC6vU5lm2V9HN5AcOzkk5wzk3w9+cUSdslvVvSzSPdL6DW0NIA1BAzq3fODYb+nybvRFfK0dJgZr+W9E5Jjzvn5sbMv1HSpyT9r3Pu7THzt8praXi/c27t8J9FxuM2SvqtpBmS/t0598kC1nWS5JyzXMv6yx8gaZpz7jdZ5r9N3pXb/SRd5Zy7OjJ/RK8hUEz+ybhzoROBUBCds6XBzFZK+it57/n3Oud6SrSfl0r6rqRrJU2UdL6ytDSElh2S9H+cc09F5s+X9Ij/7/HOuSdKsc/AWERLA1BDwgFDIfw8/Xf6/343y2Lf8e//2E8lKAvnXL+k4CT+LSXe1uvZAgZ//u8kPeb/m/YaVPNrKElmdpXf8nKLmdX5OepPmNlr/vR3+ssFOeXTzOxoM1tpZjv8Pia/NrNzQ49pZnahma3z+310mdmPzOyILPtQZ2YfM7NfmtkuMxvwc+SfNrN/LyTP3n+8W/x9vcrP3/+KmT3p74szswMj2z7XzH7hb7Pfz/H/sZkdn7CN95nZT8zsBX+d183ra/MzM7vIPzGvSs65ITfMK4dmNl3SR/1/P13CgOGtkv5e0h8kXZnHKqf797+IBgyS5Jx7VF6akySdG52fY19Sn5GEZVLvuZh5083s38xsk5nt8T8z28xsrZl9yW+5AarWiPMMAdSE8ElettaI5+TlM4+TlwaQmEZQLGa2n7w0JWlfq0kl7fLv6yPTq/Y1jDBJP5V0lqRBSdnyvoMUjwmSXpfXuvJOScvN7GB5AdBKeSeWA/L6sRwk6S8kzTOz2c65XZHHXCHvynXgdXn9Pdok/bF/y5lnH2M/SQ/6+zwgqTc808wmyHvOp/iTnLznPUXSQkl/bmaXOuf+NbLehfLSZgK98o77kf7tLEm3SnpzGPtc7T4q773yrH8iXipL5L3HPuWc222Ws1Fwqn+f1D/rd5KO177jXXLmFWtYK++5SN77sEfe98IRkt4nr8VmOO9voCyq9goIgKoSvhoZPRkO1Gnfd0pSas21oSu5L5nZGjP7KzPL9rixzGyimZ0k6S5J0+Sd4C4r5DGKzczGSXqP/2/0KmcxX8NS+rCk0yRdLGl/Pz/9EEmbI8vdKOlXkmY45w6U1/E1eP2/5t/+VN7V3FZ5J0vvlfSSvJOkL4QfzLz+KH8lL63kMn/bB8o74X+LpI9JeniYz2mxvP4wfymp1X/cafJO2iRpubwTyCclnSGpxe+rcpCkL8sL5K4zs+DYysyaJf2z/++/SzrCOdfinGuVNEneFe/b/OczFs3z7x82s4PNbKntqya2w299mT+SDZjZn0o6W9J9zrkf57la8DlL+j4JLpgeaWZNw92/An1b3mfgcUmznXON/merRdK75LU+vl6mfQGGxznHjRu3Gr3JO3Fy/u1tCcsdElru3CzLvCO0zH0x87eG5vfIqzrkQre1kg7Msb9/HVknuL0s6YxhPH/nfQ0W7fW81H/MQUlvL/ZrWOL3wlWhbV+Y6zWTtEnSuMi8OnmdT4NlzotZ/1x/3ubI9Mv96fcU8TndEtqXD2ZZ5hR//hZ5Hdvjlgn27a7QtHf707ol1Rdxn+Pe33ndirz903Is9zt/uZvlpQ45ea1Jr4YeY0jSZ4e5Hy3yKpX1STo65piuzbLePf78+xMee0NoH986jM/ILXm8566KTO/1px9frPcKN27lvtHSACAn59zL2tdv4G+y5GmHrxxPiJn/M0kfkdTmvCuy+8tLJfi2vJOL90lalWNX9sgLEF7Rviu4uyR9TtJ/5n4mpWNm75D0D/6//+qcezo8v0ivYTnsknflPJdvO+f2hic454YkPeD/+4KkH8Ssd79/P93MWkLT3/DvDy5BP4AnnXP/lWXe+f79Lc65rizL/NC/f3+oRSzY3wZ5LQvF8vIIbuV0oH//CXnP//9pX8vUdHkVxkzSP5vZe4fx+F+T1yL1LefcMwWsF3wPvN/M3h2daWanal86o1S+z1nwfsk5jgtQrQgaAOQrqAT0Dkl3mNmxZtZgZlPN7Dp5qSUD/jIZKRnOuc86537qQnnszrnnnXN/K+kz/qRTzeyD2XbAOXe780qzHiKvzOl75VVO+oGk/zKvulEaM/sbPw0q4xZaJna+ZRlsLmYbU+QFRc3y+iF8IcuiI3oNy2RdNBjIYmOW6a/49//rBxFR4ZPbA0N/3yfvSvVsSWvN7K/NrFgd2zsS5gUpNJclvE/W+cs0a1+A8Kx/a5TUYWaXmdnbLI+k+yQuezninLeRbHcYgvMHk/QPzrllzrk3/eewVV751u3+cl8s5IHN63R/qbzWyW8UuF/fkxewmqSfmtnZZtZi3sCWH5UXAA6Eli/X52yNf7/cvEEg5xqDzGGUIWgAkBfn3B2SviKvif3P5J009sv7Yb9EXq5u0FLwWoEP/2/+40heHnw++9PnnHtY0vv9bb9f3tXJqFZ5qUFxt0C2+a259sPMJkr6L3lXV5+VlyYV2/G1VK+heaNJx53wXpfvY4TszHO5HVmmDybNd+kVvBpC05+Td7V6j7xgcIWkF81si19x5v9q+JKeU3Dl9wBlfx+E3yvNoefxV5JelFfu9zvyAthOM1tt3sjrIwogqlx36O+M95n/GQjGXTkp3z5LfivTjfL6JFzinNtTyE45b8C2P5PXd+YweR3cu+Vd6f+hvD4y4SpMrxXy+CPwt5Ieldey8QV5gewbZvaAmf0/Mxtfpv0Aho2gAUDenHP/IGmupO9LelrS8/J+CD8n70TvYH/RZwt8XCfpv/1/ZxS47l7t64D7iZj5VznnLO4WWiZ2vnPuqqRt+y0b/ynpWHmvxSl+GlLS/pbiNZyo+BPdjJaXPAyrLG8xOOf+XV7w9VlJd8pLlZomqV3SejP78jAfOuk5Bb+DZyW8D8K3raH9XSfpKHl9bZbL6yw+Ud5V9jsl3V1oB/9R5A/+/SvOudeyLBOkFYVbaHI5X17H4P+S9Eszaw3ftK8Tc31oetpr7Jz7tbxCAlfK+2w9L++zdoO8Cl/b/EVf176WsZLyW1hPkDcA3hJ5lZIa5V3suF7SU+aVlwWqFiVXARTEeYMhZQyI5De1BznESekg2QQn8cOpG/+if99qZgc750p+IuDn46+RNEfeVc1TnHPP57NusV9DFzPI1WjlB13XyatWZPJe3y/Jq6Lz92Z2l3PuySJu8mV5ufN/LOk/hrG/e+SVll0ppcYv+JS8lJzT5QU8S/N9vHDa3DD2pZwpSk/LqxSW7+c13+WCkqkfVPZyv5J3Ah7Mf7+8Qgr7Nub1TwmqeKUxs8/7fz7uX7DIV5C2t1/CMlkDdX9b9/k3mdlB8kaW/0d5F0uu9f8HqhItDQCK5cPyfjB3S/p5ISuGTg6lfWlKhZge+rs761JF4qcS/FxePvwueQFDQa0rWQz7NRyLnOe/5Z1IvSDvN+uEIm8mCM4+UowHc85tcc59WVJQIvR9BT5EUopUrls5BR3aD/FPfuO8zb/v1r7xSyrKL5W70P/3h0nLxnjNv49tEfC/x/IelNE596pz7kZ5ZX2lwt8rQFkRNAAYMTObLOmf/H//1TnXHZmfK7f7InlpKJJXdSW8bmKLqH8C/2n/3w3Oud6k5UfKzBrl5Um/X95JxAejlZKG+biJr+FY57+usfz+A0Hn1WLX1b/Fv59jZuclLRg+OU7aX1+Qi1/Q/uaZIpWYblcmd0sKqk1dGp1p3qCL7f6//5mlU3yGpHRC/zne6i/6q9D0tQXs97fkpUpt1r7ALl9B5/93+cUPohZJOjw60bzRxpO+x4b1XgHKjaABqDFm1hbc5A1eFTgwPC9a9tLMDjGzfzSz2eYPiGRmTWZ2lqRH5KUVPKn4zshLzOw6Mzsh3OHPzA43s29KCkba/aVz7p7IuovM7A4zOzNy0tZkXvnEX0ma5U+O23bR+LnTP5Q3+NluSac75zYUsP5IXsOx7h/MGxDsQ37nckmp12yJvNYkJ+kXxdyoc+5eeUGgJP27mV0dPiE0s4PM7Cwzu1NeZ+fAAjPrMLNPmdnU0PLNZvYpeSeQUoVLAefiP7/wd0Jg/8j3QVqlH+dcj/ZVA/uSmV0Uek9PlfQTeSfQA4qpgGRma83MmdnaEjyny/33Ufj74u1m9kN5gxb2S/pEtoIFCR6R15ejUdJtfipacMwvknSTvHEqovaX9JyZfcXMZgV9MPxg4mTte32q+r0CVHygCG7cuJX3pvwHi5oWWW9aaN6QvKuMe0PTHpM0Ocs2bwktN+iv+3pke2sVM7iWvJGAw8u9Iakzsu03JS0e7mtRwPInhra5R15fhmy3/45Zf9ivYRneF1cpx8BVkffPtOE+TtxjyBsRN3ycX1fmAIBfLvA5Be+7q3Is1yLpjsi2Xot5j34/tM6HIvN6/eM5FJp2tyID4FXbTemDLibdTsqy/g2hZfr81yD4v1/SoizrrVXCIG15HNOs64Ue28kL7nuVflz/dASv19nyvsPC79MB/+/vxb3n5JUWDr+W/fLStcKf/d+rgIHmuHGrxI2O0ADytVPeCeEH5FWMmSTvh+9JeZ1Al7vsKQjL/PXny+t0OkleS+d2eTXwb5N0e5b175aX5nCyvBaFoCrQG/IqDD0g6Sbn3OYRP8Pcwq0v+ym5Q2TcVcyRvIZj3bXyTpxOlnSMvFKoTfLeI49KWuqce6gUG3beVfOzzewMeRW4jpc0WV4A8Jy8Tus/1b5a+5L3vjtX3ojSsyW9Rd77cpek/5FXMvYHY/14OucuMrN75X1Gj5N3VX27vNfn2865pyqwW0vkdXA/Tt77aFDSU5LuknSdc24knc3vMG8sma/I64dVL+94L3POfc/MbolZ7Q1JZ8p7r8yX1ydisqQeeRWmfibpX5xXLhaoWuZcIYUDAAAAANQa+jQAAAAASETQAAAAACARQQMAAACARAQNAAAAABIRNAAAAABIRNAAAAAAIBFBAwAAAIBEBA0AAAAAEhE0AAAAAEhE0AAAAAAg0bhK7wAkM9siaX9JWyu8KwAAABi7pkl6wzk3vdAVCRqqw/7jx4+feMwxx0ys9I4AAABgbPrtb3+rPXv2DGtdgobqsPWYY46ZuH79+krvBwAAAMao4447Ths2bNg6nHXp0wAAAAAgEUEDAAAAgEQEDQAAAAASETQAAAAASETQAAAAACARQQMAAACARAQNAAAAABIRNAAAAABIRNAAAAAAIBFBAwAAAIBEBA0AAAAAEhE0AAAAAEhE0AAAAAAgEUEDAAAAgEQEDQAAAAASETQAAAAASETQAAAAACDRuErvAAAAADAWXPuLTam/Lzt1ZgX3pPgIGgAAAIAiuO7+Z1N/j7WggfQkAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiOkIDAAAAZTQaqywRNAAAAABlNBqrLBE0AAAAoGqMxqvwtYCgAQAAAFVjNF6FrwV0hAYAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaJJnZuWbm/NsFWZaZb2ZrzKzLzHrN7Ekz+6yZ1Zd7fwEAAIByqvmgwcwOl/QvkroTljlL0oOSTpR0h6SlkholXSvpR2XYTQAAAKBiajpoMDOT9H1JuyQty7LM/pJukjQo6STn3Cedc38r6Z2SOiT9uZn9ZXn2GAAAACi/mg4aJF0i6QOSPi6pJ8syfy5psqQfOefWBROdc29KusL/9/+VcicBAACAShpX6R2oFDM7RtI3JV3nnHvQzD6QZdFg+r0x8x6U1Ctpvpk1Oef6cmxzfZZZb8tnnwEAAIBKqMmWBjMbJ2mFpOclfTnH4kf795uiM5xzeyVtkRd8zSjmPgIAAADVolZbGr4q6f9KOsE5tyfHsgf4969nmR9MPzDXRp1zx8VN91sgZudaHwAAAKiEmmtpMLN3y2td+GfnXEcxHtK/d0V4LAAAAKDq1FTQEEpL2iTp7/JcLWhJOCDL/P0jywEAAABjSk0FDZJaJc2UdIykN0MDujlJV/rL3ORP+67//zP+/czog/lByHRJeyVtLumeAwAAABVSa30a+iR9L8u82fL6OTwsL1AIUpcekLRI0mmSbousc6KkZkkP5qqcBAAAAIxWNRU0+J2eL4ibZ2ZXyQsabnXO3Rya9RNJ/yTpL83sX4KxGsxsP0lf95f5t5LtNAAAAFBhNRU0DIdz7g0z+5S84GGtmf1IUpekP5NXjvUnkn5cwV0EAAAASoqgIQ/OuZ+Z2fskfUXSRyTtJ+k5SZ+TtMQ5R+WkAl37i33DXlx2akZ3EQAAAFQRggafc+4qSVclzH9E0oJy7c9Yd939z6b+JmgAAACobrVWPQkAAABAgQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAoEDLO7aqs7sv53Kd3X1a3rG19DtUYgQNKLla+1ABAICxbXnHVn31zqe1cFlH4jlOZ3efFi7r0FfvfHrUn+MQNKCkgg/VR298LOeH6qM3PjYmPlQAAGBs6+7bK0na3NmTNXAIAobNnT1p64xWBA0oqQWzpuiog1v17CvdWQOHIGB49pVuHXVwqxbMmlKBPQUAAMjPwjmHa3pbs6TsgUM4YJje1qyFcw4v+34WE0EDSqqttUm3XTg3MXAIBwy3XThXba1NFdpbAACA3Npam7S6fX5G4BAWDhhWt88f9ec3BA0oubjAIYyAAQAAjDZxgUPUWAkYJIIGlEk0cAgjYAAAAKNRNHAIG0sBg0TQgDIKAodJLY1p0wkYAADAaNXW2qQbzp0ji0y/4dw5Y+r8hqABAAAAGKbO7j61r1gvF5nevmJ9XiXnRwuCBpRNUCVpV09/2vRc5VgBAACqUbSsalhSOdbRiKABZREtqxqWVI4VAACgGkUDhrh+DWMpcCBoQMlFA4bbLpybNj/XOA4AAADVJC5gWN0+P22ZXOM4jDYEDSipuIAh2iko1zgOAAAA1WTVuu05x2GIlmNdtW572fezmAgaUFJrNu7IOQ5DtBzrmo07KrCnAAAA+Xn6xdclSQ31lrVKUlBVqaHe0tYZrcZVegcwtp03b5okacGsKYllx4LAYc3GHal1AAAAqtHVZx2rJ7a+qp27+7R45YbYC6Od3d68gUGnyROadPVZx1Zob4uDlgYAAABUxPKOrXmlJXd292l5x9bS71Ce2lqbdM+l701Mrw6nZ99z6XtH/ZgNBA0oqeUdW/XVO5/O2Vch6Pvw1TufrqovBQAAUBqj/Rwhml790RsfS5ufKz17tCFoqGHX/mJT6lYqC2ZNydnJOdpZesGsKSXbHwAAUB3GwjlCNHAIG0sBg0TQUNOuu//Z1K1U4qLwpOa7sfThAgAA2Y2Vc4TgeUxqaUybXq37O1wEDSi5Wmu+AwAA+eEcYfQgaEDJBfmHuZrvwsuWUjnSsgAAQH5Ge4pPkEK1q6c/bfpYG3uKoAElFe7kJClr852ksnVyKkdaFgAAyN9oTfGJ9rkIG2uD1hI0oKSinZy6IlG4JHX19Fd1JycAAFAao7XkqpQZMAQXQQO5OnmPNgQNKKlok+OZSx7OaL47c8nD5CwCAFBjgmyEhcs6tOnl3VlTfDa9vFsLl3VUVcnVzu4+nX7dQ4nnL+Hzn9Ove2jUBw4EDSi5ttYmLV00W431deofHFJjffrbLpi2dNFsAgYAAGpEd99eSdLmzh6dseShrCk+Zyx5SJs7e9LWqbQr73xKO3f3JZ6/hM9/du7u05V3PlWBPS0eggaUXDCMehAc9A8Opc0Ppi1euWHUR+EAACA/C+ccrqkTmyVJA4NODfWmpYtmpy3TUG8aGHSSpKkTm7VwzuFl3884V591rCa3Niaev4TPfya3Nurqs46twJ4WD0FDjahUzmA03++uS07I6OR01yUnjLm8PwAAkFtd6Ex0YNCpfcX6tPlBwBBdttLaWpt0z2dPzHuMiXs+e+Koz6aoopcfpVLJYdrXbNyRlu83MRIwSNLElsa0vL81G3cUZdsAAKB6rdm4Q1s6ezW9rTnV4hCkIYVNndis6W3N2tLZW1XnCLU2xsS4Su8ASm/BrCla0bEt9YaOe/OWapj28+ZNS+2DpKydnG67cK5uu3Cu1mzckVoHAACMXdFzhHOWPaotnb1py0xva9bq9vmSVJXnCEHgEJxDhY2lgEGipaEmVHqY9uADnquOcXhZAAAw9p03b5raWpvU1tqkG86dI4vMv+HcOan5xThHKMUAr7nGmBjNZWXDCBpqxJqNO7R00eycTWhLF80uqOkvnw9frdUxBgAAhens7lP7ivVykentK9YX9dyg3AO8VjJFvNgIGmpA8IZdvHJDWuAQFgQMi1duKOgNm+vDV4t1jAEAQP46u/u0cFlHbH+GzZ09Wriso6rPDYIT/rj067kzJuW8OFqqFPFiI2ioAeFRmYPAIdqEFgQMSW/Y4TSv1WIdYwAAkJ9owDC9rTljmWoOHKIn/GHBedcH336IZrS15EwRn9HWorNnH1a1fSAIGmpAtE9D+4r1GnLpDYDtK9YntgYMt3mtFusYAwCA3OIChqDTcyAIIqoxcMg3/XrpL3+vwSGXFjiEBQGDk9M19z5DehIqK+jTMKOtRZs7e/Rq70Da/M2dPZrR1pK1T0O4taKQ5rVS1jEuRWcmAABQHqvWbc8IGKLnAKvb56cFDqvWbS/7fsbJN/062PdtXb1pgUNYEDBs6ewlPamamNkkM7vAzO4ws+fMbI+ZvW5mD5vZJ80s9jUxs/lmtsbMusys18yeNLPPmll9uZ9DoYJWgvYV67V3aCjrcnuHhtS+Yn1sn4aRVGAqVR3jcndmAgAAxdPa5FX+zxYwSN45RDhwCNaptHzTr284d44a6ryaUNu6euXkdFBzQ9py4YChmku01lzQIOkcSTdJOl7S45K+K+l2ScdKulnSKjNLq/hlZmdJelDSiZLukLRUUqOkayX9qFw7PlwLZk1RS2O9Nnf26PmuPTpi4viMN+wRE8fr+a492tzZo5bG+tgodyQn/9F1w6r9QwIAAIrvvHnT9LWz3p41YAgEgcPXznp71ZRmLyT9emDIaVJzg2a0tWhLZ6/e2LM3bbnREDBItRk0bJL0Z5Le6pxb5Jz7knPuE5LeJmm7pI9I+nCwsJntLy/IGJR0knPuk865v5X0Tkkdkv7czP6yzM+hIF+8/Un19A+m/reMKsjp03r6B/XF25+MfayRnPznqmOcZKzUOAYAAPsE4zTkUqxxGoqlrbVJHz9het4dnD954gwtO/c4NdbXaTDSrzSptaKa1FzQ4Jx7wDn3c+fcUGT6S5KW+f+eFJr155ImS/qRc25daPk3JV3h//v/SrfHI9e/Nz0laVtXb0afhm1d6SMwRtcJK/Tkf6Qn/GOpxjEAABj9lnds1TX3PpNXB+fBIa+D86KbH1f/4JDq0xNaElsrqknNBQ05BGfS4XajD/j398Ys/6CkXknzzaxqw8Pv/MU7M9KRkhzU3KDv/MU7M6YP5+Q/fMK/6eXdWesYB/PiTviH2wkbAACgFLr7vFPFXB2cB4dc6sLszt19mtHWov3Hj8tYbjQMckvQ4DOzcZLO8/8NBwhH+/cZJXqcc3slbZE0TtKMPLaxPu4mLzWqZNpam/Tji+apoT4zLSmqod7044vmZS25+pHrH8158v+R6x9NnfyHT/jPXPJw1jrG4XnRE/6RdMImrQkAABTbwjmHpzIugsAheoE2HDBI0tSJzXJyGdkeTvuCjmoe5JagYZ9vyusMvcY595+h6Qf4969nWS+YfmCJ9mvEUh1xBl1i4NBQbxoYdLFNZA9uekWS98E4Y8lDWU/+z1jyUOoD8uCmV9IGbusfHErl7YVF52WrQFBoJ+xypDVR9hUAgNqzZuMO7erpT6uM9Pqe5NTvN94cSHV6DtvS6QUdDfVW1YPcEjRIMrNLJH1e0u8knVvo6v69S1xKknPuuLibv92SWbNxR+qk+gcXHB8bODTUm35wwfGpk/LoWA2Xn3aMxvmrBcFH9OQ/CDokaZx564QHbguCg8UrN6StF52X7QS/0E7YC2ZN0eTWxrzTmia3Nhac1jSSsq8EHAAAjE5BJsXAkEudHw3FnAmGz7he7R3QjLaWjEHgZrS1aFtXb+oc6u2HHaBqVPNBg5ktlnSdpP+V9H7nXFdkkaAlIdsR3D+yXNUJSpotXTRbV9zxVOpNGTYw6HTFHU9p6aLZsSXNJrY06rCDmtOW/9St6zIeI3DYQc2a2NKYFrDcdckJWU/4w/PiBpcL0oxydcIOpxmt2bhDO7v71VhflzOtqbG+Tju7+2O3XSqMMwEAwOgUnI9Mb2vW3oTLxtFZceNlRaf19O3NWKYaVMcIGRViZp+VN9bCU5JOds69ErPYM5LmSJopaX1k/XGSpsvrOL25pDs7QgtmTUmdIGfz7CvdWrxyQ0YELHkn4Nu6evXWg8brpdf2aK/LbHaTvBaGQw8cr21dvVqzcUcq+AhGh77twrn6k2sfTOsPEZzw33bh3LR1AkGa0YqObbH7Fgi3GgTbXNGxLRUUZEtrClo56EANAADytWrddiWMmRvr+a49OmfZoxnTwlqqZAC7qJptaTCzL8gLGP5HXgtDXMAgSQ/496fFzDtRUrOkR51z1dlrRZkn00ly9d5vqDetvHBuKocvbV6dPy+S/jTSGszhNKNzlj2qhcs6MjphL1zWoXOWPZqWZhROZwpSoKKvQThgqPZBVQAAQHW4fu1zuubeZ1IXVMfFnFGPq5MOHJ9ZvXJLZ+ZFV0mpNKdqGfU6qiaDBjP7O3kdn9fLa2HoTFj8J5I6Jf2lmc0JPcZ+kr7u//tvpdrXYghShMKmTmzOsrRiU4QWzJqiyROatKWz10tj+uvZGest/Wsv/WlLZ68mT2hKXbUPUouC4CWu6lIwP64jcpBm1FBv2tLZq82dPZrR1pK2zObOHm3p7PU6EYXSjKKBQ1xtZAIGAABQiA3bXk39veO1PYob3mrvkPRGpHN0Ng11pr1OVZ31UJ2hTAmZ2fmSviZvhOeHJF1ilnHVfKtz7hZJcs69YWafkhc8rDWzH0nqkjeq9NH+9B+XZ++HZ+6MSaqzfR10pk5s1u0Xz9ecr9+XWmbqxOZUulGdeeuErdm4Qzt396mh3lJpTFHhCk07d/elTty/eufTuuWRrXJyqaoB4SAmaEEwmTZ39khSWovDgllTdMsjW1PzJK88WZyBQa9sWThgWTBrim67cK4WLutIewxJaR2SlndsrarRJgEAQHX65kfeoQ9+50F19fYr6NJpyuzDEMQSdf7f40wZfSDGmTQw5DS9rVlnzz6sai9i1mJLw3T/vl7SZyVdGXP7WHgF59zPJL1P3mBuH5H0GXkDwX1O0l8653JWTqqka+79bUbAEH1D3n7x/FTrw5Dz1gkLBjEJOjtn60wdvu/u26sFs6ZoRltLqiVgeltzRr+E6W3NaS0IcRF2OEgIWhzCwilRwbLhkqtdPf2xgYaTU1dPPyNJAwCAgkzYL/3ae9LJYF2d6a0Hjo/tNL3XSUdMHC+T6Zp7n6nac5GaCxqcc1c55yzH7aSY9R5xzi1wzh3knBvvnJvlnLvWOTdYgadRkBNnHiwpe8AgeWk84cAhWCewcM7hOmLi+Ly3ecTE8Vo453BJ6Sf8psy+EOFpcSf2azbuSAUcM9paNDDoMtKMghaGIABZs3FHxsByWzp7M9bb0tmbOLAcAABA1Kp122MLwmSzd8jpxdf2ZJ3/h9f2aHNnT1Wfi9Rc0FCLzps3TWfMOlQ3nT8nscmrrbVJN50/R2fMOjQ2TSdafzimL3TGstET/s2dPRkVjIIWhvAJf9z+33DuHK1qn+cNyx5p3JnR1qJV7fN0w7n79j86sJxJGeuZlHNgOQAAgLCgs3LQATrbGFjSvpPtpJaIvUNev4ZqPhchaKgByzu26u6NLyUOnCbtGzn67o0vZTSN3fLIVr3wanqEHDeISeCFV/folke2psaIWN0+X6va52Udp2FV+zytbp8fO0ZEeP9zpRmF9z88sFyQZ9hYXxdZb1/gkOv1AQAAkPalbe8d8i5c/uCC4zNyKX5wwfGaOrFZ+VZlHRhyumjFuqo9FyFoqAHhNJ18RkaOaxr75TMvp/7+9jnvyBpRf/ucd2SsE1z1zzUwW2LJ1QlNeacZBZWbgqpRjfV1qYChfzD9oxuel21guUAQiOSSrQoUAAAon1L+bt/56xdTf/f279Xlq5/MuKR5+eon1dlTWACwpbNXq9ZtL2idciFoqAHhsqO5RkbOVn701k8cn2qK+/JPs48q/eWfPiXJa7a79RPHF2X/g8pNQYtAUpqRSanKTQtmTVFr07hUWdW7LjkhI2AJRqLuHxxSa9O4rHmE4U7VuVpr6FQNAEBlBb/bC5d15PzdXriso+Df7X/5q9mpC5gvvdEX279hW1evevr2dX0NUpmiFz4lxY5/VW0IGmpEXOAQlhQwBOv/9OL5sVfrw4L+AT+N6XCda5yGbObOmJRqEZCypxmF582dMUlX3vmUuvv2pvorTIwEDJI0saUx1e+hu2+vrrzzqdh9KEZrDQAAKI8gfWhzZ0/WwCEIGIJy7ME6+Zh5yASdN/+ItGnjEk78TV4q0/S2Zu0/Pr3q0vS2Zg0MuVTgwOBuqLho4BCWa4CzcP+AXKL9A5Z3bNWml3ennVCHBSfim17eHRvlP7Z5V6oVQdrXqhAWnffY5l26+qxj1dpYr/7BIV20Yl3WkaQvWrHOa2lorNfVZx0b+5zaWpt09uzDNL2tOWdrTbXXWQYAYKxbOOdwTW/zKkJmCxzCAcP0tuZU1cd8XL/2OX3/kW1p0/YmdPZ0kg5qbpDJ9Gpv+oBvJksFDq2N9VV70ZGgocbk6leQTdA/IK4vQ1QwANyajTtSzYPhsqbRcRrCZVHjmgeDNKOgFcEps2kvPC9IM1qzcYe6+wfVUJfHSNJ1pu7+wax9GpZ3bNU19z6T+mBna62Z3tZc9XWWAQAY69pam7S6fX5G4BAWDhhWt8eXpM/msd93pv4eV2ep1KOwcXVK6xy9Z2AwVVY1uh9DQ97y3f2DWbMeKo2gAXlZMGuKJrU0pvoyHDFxvA5qbkhbJhjHYWDQaVJLoxbMmpJKLUoqaxouixqkFoUFaUYN9aYVF7xb09uaM/o0TG9r1ooL3q2GekulGS2YNSUVuQeyjiTtj8SYLboP0pM2d/akBQ7RfQhGtSY9CQCA3ErZWTkucIgaTsAgSXP/qC31994hp8mt+2UsM7l1v7SzjjcHhjSjrSXj4umMthZt6+rVXj+J4u2HHVDQvpQLQUONGW6/glXrtqfWmd7WrJvPf5fqIlf7bz7/XakP5q6efq1atz2VWhQEBXFlTYO0p2CZxzbvSpsffHgGBp3+dvVvNBSTITU0JP3t6t+kgppgnfDAcUGLQ1i441HcwHOBID0pGGvCZBlBUxAwzGhrIT0JAIAcylFkJBo4hA03YJCki086Uqccc7AOO9ALFna88WbGMnHTBmNSmMLTGupNpxxzSMH7Uw4EDTUk2lE3LKmDr7SvU870tmbdcO4cLV65ISPwWLxyg244d07qg9naNC41TkNQpSipE/Zdl5wQO07DwjmHa1Krl071fNcebevqzRhYbltXr57v8saRmNTaqIVzDteajTvSBo4bGIoZSdpvYQiCgVzpSU4utewbe9I7TAXbcnIlS0+69hebUjcAAEazchUZaWtt0g3nzsm4NHjDucmD3iZZ3rFV9/32FY2rq0s8mY5uc1tXb0aaVFB5qaHeNDDoMi6eVovq7J6Noot+6G67cK7mfP2+1Pzwhzauf0NwIj93xiQtXrkh9TjhFJ1nX+lOBQ6Pbd6VWie4v+3Cual9CAt3wp55yISMfV+zcYd2dacHKEkDy+3q7teajTtS2w2+YMIdngLBSNLBduLGiQge41/uf1ZbOnt1xMTxqQ92WEO9ae/QkJ7v2qPJrY0lSU+67v5nU39fdurMoj8+AADlEvSzDM4NgnOQsFwl4fPR2d2n9hXrMxKU21es16r2ecN6zAWzpui6+5+NLbUaFmzzgPHjdOD4Rm3r6s2aJhU9f6o2tDTUgLiAIfoByTWOg+R9QMIBQ7YOzYtXbog9YR5uJ+ygX0S+wv0igoHlpPj+DMG0bAPLBdZs3KGd3f1qqDc937VHA4Muo7VjYNDp+a49aqg37fQDl5FgMDkAwFg30pLwuUTLqoYllWPNZdW67RkXNJO8vmevzvw/UxLTpGYeMqFqAwaJoKEmBJWPco3DEP7QRk94ixV4DEe05GqScMnV6L5nG0k6n32NdgRPEu4IPlwMJgcAqBUjKQmf5Pq1z+kj1z+aViUpanNnjz5y/aO6fu1zBT32zt2Z/RVy6e3fW/Q0qXIiaKgBQb+CXB+64EMb16+gmIFHoZ2wF8yaosmtjbGDuoUFJVfDqUHhYKexvi6j6lJjfV1eQU64I3ggMUXK7wg+XAwmBwCoJcPNRsjm+rXP6Zp7n0mlDwVX88OCIGJbV6+uufeZggKHV94o/MLo9q7erGlSxbrQWkoEDTUinKaTJFuazkgDj5F0wg5Sg446uNUrqxoz4mJDnVeO9aiDW1OpQdGAoX9wKGPbQdWmYreOjFRcc222weRGchUGAICxqLdvMPV3Q53FXs2/4dw5aecU4XVyWbroOJ1yzMGasn9mqdWoKfvvpxOPatPmnfH9GUaSJlVOBA3I23ADj7jUprBcV9SDgGXpotn64u1Ppo27EBgYcvri7U9q6aLZqYAlaB0JBwxx2w4HDtn6IQxnSPeRDgNf6jxPAACqxXCzEbI5eH/vd7GhzjQw5LKWfB8YcqnAIVgn3/3dvLMnVVZ1XEwOdTBtxxtvqmPzrpxpUtUeOBA0oKSK2Qn7ohXrUuMsxDQ2aEtnry5asS6VprNg1hRNntCUFjBk23b/4JAmT2jKmuIzks7YI1GqPE8AAKrFSLIRsgkuON596XtzXny7+9L3xqZmJ1m1bnsqCDhi4ngddlBmIHDYQc2pcRyCPpFJaVLVHjgQNKCkitUX4pxlj6YChoZ6y+hP0FDvRRFbOnt1zrJH1dnd56U17e7Le9s7d/dlbWkIOmMH20nSUG8ZnbFHUgmp2HmeAABUi5FmIyQ5b940zTxkQs6Lb8OpWhRkExx24H4aV1enbV2ZxVa2dfVqT/++lKdJLY2xg8lFR60eSZ/IUmKcBozIpScflTg/PFZCPn0h4sZKWLVue1rAMDDoMj78A4MuNW9LZ69Wrduui086csTbDj+P7r69+tETz6cGkctmygH76S/ffUTqsYJKSN9/ZEviyJPR4Kiay64BADBS+WYjRMdxKPSCWfA7/yfXPpiW/lSMi2+v7O7TwKBLpUKHNdbXqat3IPX/J987PesFzNXt81PnACNNby4VWhowIpedOjN1y2aknbCDD084YIi7EhEEDuF1RrrtQGd3n+7Y8GJqHIZsgnEc7tjwYuqKSHefN3J0uBUk7vHDAUOwTjCvmHmeAIDR5dpfbErdxpJiZCNUSpC2PDDoUuXe44qtBGcM40w65ZhDsj5eMGr1GbMOrdqLhgQNqHpBydVwwJCtb8LAoCvJaMzhTtXh4CQsCGqinaoXzjlck1q91KJsgUM4YJjU2qiFcw6XVJo8TwDA6HLd/c+mbmPJefOm6YxZh2rpotk5MwKWLpo97BPqUlx8C48hFZSEX7podtoyQSl4SdrrpPt++3LiPi5euUF3b3ypasddImhA1QuXXM2rb0IRRmOOCneqDgKHaO5iuHky3Kl6zcYd2uWPJi3tCxzCwulXu2JKxhY7zxMAgEpb3rFVd298KbayUdhITqhLdfEtOoZU/+CQFq/ckLZM/+BQWknXn6x7YVSPu0TQgKpXjMHpRiroVB18MWQbKC6YF+5UHQzUFm6hCIKEsHD61dwZkyo2AjcAAOVQ6oFMS3nxLXxB865LTsja0fruS9+b1sl5NI+7RNCAUaFYfROGK9rSkDRQXLSlIdwKkiu1KfjCeGzzrlGb5wkAQD5KOZBpsUq+ZxO+oBlUaIqrcjjzkAla3T5fl5929Kgfd4mgASU3knKj1SLa0pBroLho+dZo4BAV7a9RDa0rAFBLxmpn42pXqoFMy9HJupALmhefdOSoH3eJoAElFZQbzRXBB1cEvnrn00UNHIoVsAS5i3kPFBfTGTvoyNUQMzJdQ51ldASrdOsKANSSsdrZeDQoxUCm5bz4lm9H69E+7hJBA0qq1PmKSYoZsBSjM3Znd58uWrFOA9GR6SQNDDldtGId/RIAADUluLiX64R6ONkI5bj4VktVDgkaUFKlzFfMpZgBy0jLwkXHYYhpbEgcxyFw6clHpW4AAIxmlc5GGKlCO1qP9nGXCBpQcqXKVxzOdocbsIykLFxnd5/+5Du/SiurGm1sCFdV+pPv/CrrNvIZTA8AgErKt39I+OLewmUdOmfZoxkn1Ocse1QLl3UMKxuhlH0qC+1o/eHrH0l7HmHBOcqml3dXVVAURdCAsihFvuJwtjvcgGUkrRZfvP032uUPIx+ukhQWrqq0q3dAX7z9N7H7QUc9AEC1y7d/SPAbPaOtRZs7e7SlszdVnjSwpbNXmzt7NKOtpaBzhaAVY+GyjpwX+xYu6yi4FSPfjtZnzz5MkvR81x5t7uxJbJE4c8nDVdeaEkbQgLKpRAeg4IOXK2AJLxtnJK0Ws6dOTC0zMOhSX3xhM9pa0qoqzZ46MfYKSdwXcTVXnQIAIBenfb9/ppj83cgy+eju2yvJGxshW+AQBAybO3vS1slHvh2tTznmkNRFwWDU6OjySxfNThvrae6MSXnvRzkRNNSIsVD2tFDhXElJWQMWSXnlSg631WLhnMPTthv3xReeFiz71TufztnHIegrUc1XJgAAiBO00ActDEGLQ9iMthZNb2vWls7egnL/vd/eBknZA4dwwDCppUEL5xxe0P7n09H6sc27NDDo0kaNju7H4pUb0sZ6emzzroL2o1wIGmpAtXQ0KnYHoFydgqMpRV2R7UpSV09/QZWbhpNmtWbjDu3q6ddbDxqf9sUXFnxhvvWg8drV068N215NTc8WOEQ7VxdyhQQAgEoLp/isbp+vVe3zMi7urWqfp9Xt8wseS8H77R1IXeUPAoewIGBoqDft6hkoySCpQYtEeNTobBcd77rkhKoed4mgoQZUsuxptscPG25JslydgqMn+GcueTgjYDlzycMFd8QuNM3qcf+Kwcuvv6lvfuQdWQOOb37kHXr59TclSdu79l1pyRY4hAMGAABGm1KOpRBcSAv3GYy2Ykj7+hqG1ym28+ZNS40anXTRceYhE6o2YJAIGmpCJcueSoWXJCumoARqOFcwLJiWq5TqSFx6ykw11tdpYMjp3Juf0NfPPjYj4Pj62cfq3Juf0MCQ14T5niMnp80PAofoNADA2FJr6cRBik+ubIRCx1JYOOfwVKfqcOAQFg4Yprc1F5yeVCgGd8OoUKmyp4WWJCt24BCUQA3nCoYl5Rjmek75plnNPGSC7rrkhNS2/vqmx7U3UnP1r296PLWPd11ygi5+/5Ga1Jr+pZIUJExqbSz5lx0AoLSqJZ24nJZ3bNWml3fnzEYotBxpW2uTVrfPTwscosIBw+r2+aPixL2SCBpqSCXKnuZbkiy8X8XKKYwGLHddckJGdB/NMcwVOAw3zSoIHBrqTANDTq/vGUibPzDk1FBnuuuSEzTzkAleLmZ3v8bl8QkdVyftihmBGgAwulRDOnE5BUFSNFU4bCTlSIPAYerE5qzLTJ1YvoCBwd0wqpS7aayU+Yq5RAOWiZHnLEkTWxrzDlhGmmY1saVRbzlwfNbHf8uB41P7GORV7h1SYuAwrs5bJrwOAGB0Cur6T29rzplOPL2tWWfPPqziV8dHkk41d8Yk1VlyqnA4xbjOVLXlSHMpRd/OciNoQMnlU5JMUsH5ivls94xZh2rpotmSlDW6l7wvpTNmHZp1+yNNswrW39bVG3vFY+rEZm3r2ldObuGcwzWjrUXSvqAgTjBvRlsL6UkAMMot79iqa+59RiZLCxzCgoDBZLrm3mcqmp400nSqy378awXZurnKkUrSkPPWyVcwDsO2ruzpvdu6enMOADdS1699Lm006GwXHRcu69D1a58r2X6MFEFDjRntTWOFWN6xVXdvfEntK9brnGWPZo3uz1n2qNpXrNfdG1/K+uU7kjSraMBxzTnvyBi65ppz3pHR32RV+7zEJtXA1InNWtU+r+JXmwAAIxOkJ23u7EkLHMKCgCEYXbiS6UkLZk3R5NbGvNOpJrc2pu3v+48+JG3ZbEFSWHSdbKIDt2XrCC0lDwA3UtevfU7X3PtM4qjW4VGxr7n3maoNHAgaashYaBorxIJZUzKGpo9G98G4CcGHOduX70jSrMIBR1AlKdodK6iqVOx+HYX6ixs6UjcAQHmFLz4FgcNBzQ1py4QDhkpX3VmzcYd2dversb4uZzpVY32ddkb6333sPdMyLo5Fg4SwqROb9bH3TMtr31at254WMGTrCB0OHFat257XYw9X0qjWhY54XQkEDTWikmVPKynX0PThabk+sMNNswoCjiBgyFb6NQgcvnbW27Vg1hSds+zRxCbVwLau7APAFerxLV2pGwCg/KKBwxt70vurVUvAIO1rGQl+17K1FAR9EqItI22tTbr94uSOyoGpE5t1+8X5d1h++sXXU3+HqyRFhYOJ8DrFcvFJR+ry045OHNU6PCr25acdrYtPOrLo+1EMBA01oNJlTytlzcYdGUPTR7/MghaG4MNcqiv8c2dMSgsY7rrkhLT5wRfquTc/obkzJmnVuu0FjcOwpbO34CsktVYLHABGi/AYQ4Mu/YJWqccWKkQ4wAkHDmHhgCHu/COfwKHQgEHyxkiqr9t3YfCIieO1un1+2jJHTNxXnKS+znTpKfGDxY7UxScdmTaqdbay96vb51dtwCARNNSESpY9raTgCn8wNH22UrPBEPWlGrp908u7deaSh9MChpmHTEhbJjyOw5lLHlbn7vST+bgKSvmUY80m6LyWK4czyAkdC7XAASCweOV6bXp5d87lNr28W4tXri/DHqULjzFUb+mt5IWOLVRqazbu0NJFs1OBQ9z+HnVwq5Yump313KKttUk3nT8na7+Dm86fU3CQdN9vX9ZgaEykcXWZP5rhaYNDTvf99uWCtlGISpS9LzaChjyZ2VvN7N/N7A9m1mdmW83su2Z2UKX3LZdKlj2ttCClKFep2WJXbgq77r5NiQGDlDkA3CPP7UzNC5dVDctVjjVJUJ41qfNXtBMZJV0BjAWLV3qFL85c8nBi4BBc8Ll740tlDRzC2QHT25q1//hxafOTyrGWW3ABavHKDVq6aLZmtLVktIzMaGvR0kWztXjlhqwXoIIgKVu/g+EESa1N3ut2xMTxObMNghaHYJ1SYUToGmBmfyRpvaSPS3pC0rWSNku6VFKHmVV90eBKlT2FtHTRcTpj1qFZA4ZAEDicMetQLZo7TVJ6wBCUYA0LBw7D/bLLFjiEAwYAGCsuPWVmWstuXOAQbSEuVdpKVDRgMJle7U0fDDRajrWSgUN4MLr2Feu1dyjzCtfeoSG1r1ifdTC68HPOZjjPNbhg+tOL35Mz2+CnF79nTF0wLRWChvxcL+lgSZc45z7knPuic+4D8oKHoyV9o6J7h5wqXWp26aLjEgOGwMxDJmjpouO0YNYUTWpuSAsYVrXPS1s2PI7DpOaGgsruhceBkPYFDmHhgIFxIACMFdGW3bjAIVdKaakE6cTRsqph0XKslUwnDq6cB1fyn+/ao7pIhtHzXXuylhvt7O7T6dc9lBgwBJ59pVunX/dQwYFDpbMNwip9LjJSBA05mNkMSR+UtFXS0sjsKyX1SDrXzDIvA6MqjMZSs6vWbdcu/+pSEDBEW4pWtc9Lnfjv6h0oqCN0W2tT2vqSsrYqZNs+AIxWcYFDWCUCBsk7yb38tKMzyqqGhcuxXn7a0RW/Or5q3fa0vgNDWQoRDg65jN+pK+98SjsjffiSOkTv3N2nK+98avg7W0Gj8VwkiqAhtw/49//lnEtrd3PO7Zb0iKRmSXOjK0aZ2fq4m6S3FX2vIWn0lpoNUo2STtijJ/6FpifFBQ5RBAwAxqpo4BBWiYBB8n6z7tjwYmJZ1XA51js2vFjR365g4LJtXb2xnZgDDfWmbV29GQOXnTd/Wtpybz1ovG6/eH7GtLDoOvmo9BX+0XouEkXQkNvR/v2mLPOf9e/Lk/CIvI3mUrNBLmauE/bgxH+4uZjB+nFXdhhpGsBYFwQO0dPdSgQM0uiudjgw6DR1YnPGYHRTJzbHdnCWpJse/H3a/0mjNmdbJ5dKX+EfzeciUQQNuR3g32cb8SOYfmCuB3LOHRd3k/S7IuwnIkbzl69U+s7rjNMAANVltFU7XDjncE1q3ddPIG6Q1PC0Sa2Naf3jTpx5sCSvNSE8+FlYMN5S0OIQrJOP69c+p4XLOnJe4V+4rCOtBaSYRvu5SFhpa0vVhiAErv7xv2tM8EW6YNaUvL5812zcUfHc0HIJyuR976EtkhQ78vS2rl595PpH0+bXyusDoDYEVZKiP+BnLnm4Yq0N+X7PVkO1wzUbd2hXd79mtLVo79CQnu/ak7HM8117dMTE8RpXV6fNnT1pv7Xh32lJsVWUwif7hfxOB6lTkmI7YUveFf6gUmCwbLEHVxtL5yK0NOQWtCQckGX+/pHlUEUoNRsvGHNhW1dvbMAQCM9nnAYAY0m0rGpYUjnWUhtNrcBBy8iyc4+LHTwtMK6uTsvOPS62ZaQcFY7iWkDymVcsY+VchKAht2f8+2x9Fo7y77P1eQCK5tKTj0rdRuKUYw7JKIuXVLGizrx1AGAsiAYMd11yQtr8XOM4lErQCpwrrz3Ik882WFo5LZg1RYtXbkiVVY32aQjKsS5euSG2NHipgqSLTzpSl592dFraU3Q7H73xsVT60+WnHV30VoaxhqAht1/69x80s7TXy8wmSHqPpD2SHouuCBTbZafOTN1G4pp7f5e1LF6cIeetAwCj3aaXd+v06x5KLKsarqp0+nUPlS1wCA+Wli1wiHasLWSMnmKL7suyc49TnaVfkVp27nFZn1M4SNr08u6sFY6CeYUGSRefdKRWt89P235YsN+r2+cTMOSBoCEH59zvJf2XpGmSFkdmXy2pRdJy5xxD52LUOPrQzDzdpDSlbOsAwGhz2Y9/rcEhJ5O04oJ3x/ZbmHnIBK244N0yeeMLXPbjX6fmlTJ9KNohNtvV8Vwda8sl3Ml36aLZWrxyQ8ZJ/+KVG7R00ezYTr4LZk3R5AlNevaVbp255OGsFY6CeZMnNBUcJEVf07BqeA1HE4KG/Fws6RVJS8zsZ2b2j2b2gKTL5KUlfaWiewcU6JD995O0r5RdQzRXKTQtWCZYBwBGs1s/cbxaG+vlJF1xx1NZr+ZfccdTcpJaG+t16yeOl1Se9KG4wCGsWgIGaV+fhiBgyHbSHwQO0T4Nazbu0M7dfTLtG1Bv6aLZaesHLT4mb3C3QioLBQFerv4S1dA/ZDSgelIenHO/N7M5kr4m6TRJCyTtkLRE0tXOua5K7t9wjTQvfrRuG/uqOcydMSn1RR81MORSV48e27yrqjtnAUC+2lqbdPEHjtTqddtTJ+XRUpzB1fzpbc06Z87hqZPzBbOmaEXHtrT12lqbdO0v9nVrPHfe1BGnDwUnuUnVhCodMAQWzJqS0fox5+v3peYHwc/ilRsyXue5MyalBQX9g0NavHJD2jLBPCcvgJg7Y1Je+xUEeCs6tmVsNyycYiVRJTDJsIMGM9tchO1/1zm3pAiPU3LOue2SPl7p/SimkebFj9ZtwxN8MS5dNFtnLHkoY/CdhnrT0kWzNfOQCRUpOwgApbC8Y6uuufcZzWhr0fS25qxX86e3NctkuubeZ9TaNC5VAefs2YdlBBzX3f9sat0gZWd6W7POnn3YsE/ug8DhT659MC3lp5oChnwHLguWCQdakvTY5l2pFobgPhokhef1Dw7psc278vpNCgd4C5d1yMllpE6ds+xRmSw1Ancl+4eMBiNJT5om6SB54xQM5zZVeQyIBqB0Orv71L5ifexonQODTu0r1lftyJQAMBxBHv3mzh6ZLBU4hAUBw+bOnrQ8+iDgGBh0OQOOgUGna+59ZkynvYx04LIgvemuS07QUQe3qn9wSPWRjtT9g0M66uBW3XXJCQUNZhdsN6jeFFRJCtvS2Zuq+lRNwVi1Gmmfhmudc9OHc5MyRm0HUEad3X2pQW2k+C+DzZ09Wrisg8ABwJgR5NE31telAodomdAgYGisr0vLo39w0yuSpBde3ZMWOIQFAcMLr+5JW6dQwVX8uGpC1fKdXKwRrCe2NOq2C+dqeluzBl36Razpbc267cK5mhjpj5Cv8DgMluXUsxxjNYwFdIQG8jSSihnVNlhPNGBoqDMNRZYJOkITOAAYS4KypkHKy+bOHr2xJ33wyiBgCK5yBy0Nl592TOq7MQgcogFHOGBoqDNdftoxBe9jNO0nLKkcayWMZOCycMfyrp7+2JN6k6mrp7/gjuXBaxi0MAQtDmFBilq2cRxyqbbf9lIbSdDwLkk3VXB9oGxGUjGjGgfrWbVue1rAEHR6DhsYcmmBw6p120u6TwBQDuF0maCTbfTqdtApN5p2M/OQCbrwfTM0zj97euHVPXp9z0DaukHAMK5OuvB9MwruE3b92ue0cFlHWtpPWJDms3BZh65f+1xBj11twuNSnLnkYW3u7MlIT9rc2ZNWjjXffgfh1KnV7fO1qn1eRvWkVe3z0sZxKLQyU7X9tpfasIMG59x651z+r26R1wfKaSQD7lTjYD2tTV4NhHDAEPfDFA4cgnUAYLRra23S0kWz1VhfF5uYElTqWbpodtpV9OUdW7X0l7/XIfvvlwoc4gbKHFfnlale+svfF3SieP3a53TNvc8k5tmH8/SvufeZUR04hI9DrgAu7ngkKVbqVDbV+NteaqQnAXkYyYA71ThYz4JZUzS5tTEtYIj7YQoCh8mtjaP+yw4AAp3dfVq8coP6B4eyjlMTlP8Mf19393lpTC++9qZcQhq8c94y4XUKlZRnP1Zy8Du7+7To5sczyqqGOe0LHBbd/HhBKURB6lSu/iFxqVO5VONve6kVLWgws2lmtsDMWkLTxpnZ1Wb2GzN71MzOLtb2gHIbyYA71TZYz5qNO7Szuz/vihc7u/sLarYFgGoVvvo7va1ZbzlwfMYybzlwfFp1pOBkcOGcwzV1oleBZ9DFn0TV+fMkaerEZi2cc3je+3bxSUfq8tOOTsyzD+fpX37a0br4pCPzfvxqc+WdT6UGdwsChv7B9B52QWtQMLjblXc+VdA2Stk/pNp+20utmC0NV0paISn8yl8h6e8kzZI0V9IqM8s+wgZQ5UYyHH01DWVf6mZbAKhW4XEUTKZtXb0ZefTbunrTyrGGL5rUhc6cogUkotPqhnGWdfFJR6bl2Wc7EV3dPr8qAoaRdAa+9JSZaQHDigvendHvYMUF704LHC49Jf9xnuLGkQjLlV6Uj2r6bS+1YgYN8yTd75zbK0lmVifpYkm/k3SEpHdL6pF0WRG3CZRdruHoS7VusY2k4gUAjFbnzZumy087Oq2sajSPPlyO9fLTjk59B67ZuENbOnt1xMTxGheT1hQYV2c6YuJ4bensHVYr7Wg5ER1pZ+Dr7tuUln70pds3aihyLL50+8a09KXr7tukfOQ78FwxA4dq+G0vpWIGDYdI2hb6/52S2iQtdc694JxbJ+lOeVWTgIq59OSjUjek47UBMNZ1dvfpjg0vZpRVDQuXY71jw4upk8kg4Bhy0t64HtC+vUNOQ05pAUehRsOJ6Eg7A1991rGaPKFJTlJDvRfEvdqbXo1qc2ePGupNTtLkCU26+qxj89q3kQ48h0zFDBoapLSeOe/x/38gNO0FSfSmREVddurM1G04RjLgTrUP1jPS1wYAql1wMhkOGOLSVoLAIXwy2dndp5se3JxWVjUqXI71pgc3V8V3e6mMtDNwW2uT7rn0vZrR1qKBwexB2MCg04y2Ft1z6XurpnpSWLX/thdLMYOGFyS9I/T/AkmdzrnfhqYdLOmNIm4TKKuRdKgaTYP1AMBYFVSPixuHIRAexyFcPe5zP/6f1JXwoKxqVLgc66u9A/rcj/9nWPs5Wk5E12zcoaWLZufsg7F00eysV/LD1aCyZX0Np2JUOdJwa+m3vZhBw12STjWzb5vZ1yWdKuk/Isu8TekpTMCoMZIOVeXojFWouM5r1/5iU+oW3vfRPiANAARGUj2uMdS0EC6rGhYtx9oY1xyRw2g5EQ36NCxeuSEtcAgLAobFKzdk9GmIjto8dWJzxrgXUyc2j2jU5lKqxt/2Uipm0HCNpC2SPifpy5J2yKuoJEkys6mS5kt6sIjbBMpiJB2qytkZK1/ZOq9dd/+zqVt438fCSJYAII0sbeXm89+lE49qU72ll1WNGnRSvUknHtWmm88vrCvnaBoROtynIQgcon0wgoAhrk9DuJLVDefOia02VVcn3XDunNhKVpVUjb/tpVa0oME594q80qp/5t/+2Dn3h9AirfICipuLtU2gXEbSoaoaO2PV4kiWGNviWsmAbIabttLZ3aftr/YqnH6frazqoJO2v9pb0IniaBsROvrb1b5ifUb1o/YV63P+Bg4NSRetWKctnZnlb7d09uqiFes0FFfftoKq8be91MYV88Gcc3vkpSnFzXta0tPF3B5QLsGPxoJZU/K6MrVm447UOiNZt1SCbQVBwUdvfCzjatZYG8kSY1vQOiaJjvwomVXrtmtLZ68kr4Whrk6p/wPT25o1NOSN9bCls1er1m0f1ngKo2VE6OD3ZOGyDm3u7MmYnxQALZg1Rbc8sjW1XkOdaSCSn9RQZ6nXeEZbS9VcwKrG3/ZSK2Z6EjCmjaRDVTWOiVBrI1kCwEi1NnnXWme0tej2i+drdfv8jHSc1e3zdfvF8zWjrSVtnXxcfNKROuWYg1NjPCSNCH3ExPE65ZiDq2KAN2n4QU543sCQ0/S29HSvcBBRTcGSVJ2/7aVUtJYGM/v3PBd1zrlPFmu7AIYv2uIQRsAAAOmiV5ezpR61tTZpVfu8gq8uL+/Yqvt++4pmtLWkcvjjLugEo1nf99tXtLxja0VPSK9f+5xW+y0w09ua9VrvQNpYC0En5nOWPapz5hyeFuQEg+WFWxhM8eWTghaHsXDFfrQqZkvDx3Lczg/9DaBKjIYBhACgWgRXl3OVRB3O1eUFs6Zo8oSm1GjUQeAQFgQMmzt7NHlCU0XTdYI+GEHAcMO5c1QX6ZMQdGLe0tmb0QcjeL5BC0PQVyMsCKAGhlzFn2+tK2afhulZph8obxTov5P0qKQvFnGbAACgRoU7vo+0L8ulJx+V97LRQhHhE/twP7FCL7ys2bhDO3f3pUajntHWooOaG9Ku3AcBQ2N9nXbu7quaK+9DQ16n52gQ1b5ifdZOzMHznd7WrNXt8yVJf3Ltg2mPsap9niTpnGWP0tJQYUULGpxz2cZf2CbpN2b2n5KelHSfpO8Va7sARibpahmtDQCqWTE7wOe7/vVrn9NP1r2gzZ09qTTOOV+/LzU/XBL1z+e8taA+BwtmTdGKjm2pEas3d/ZkVBMKAoZgcLpKXnkP+muMq/M6fkvKaC0I/h5XJ+0diu/jkTQadCHLoLTK1hHaObdd0s8lXVqubQJINloGEAKAalDqkqjhAhX9g0MySYOREqYmJY5mXU4LZk3R9LZm7Q21JGTrrLx3yEutCgc5D256RZL0wqt79KF/fUQLl3VkXMBauKxDH/rXR/TCq3vS1hntLj35qNRttCh39aSXJY2eVwcYw2ptJEsAo1vcKPZxyjWKfalKora1NmnpotlqrK+LfRQnqbG+TksXza6KluBwx+VwedTwtLhlJenoQ/dP/f3Ca3tSwVjY5s4evfDanth1hqNaTtYvO3Vm6jZalC1oMLN6SR+Q9Hq5tgkgXi2OZAlg9Mo2in1UqUexv/ikI3X5aUenOvYmlUSd3tasy087uuCSqJ3dfVq8coP6B4fSTrgDDXWm/sEhLV65oeLfy2s27kid6AedlaPpVNFOzuEBzj7+nuk67MD90pbv35t9FLfDDtxPH39Pti60+RmNJ+vVopglV09M2Mbhkj4u6Z1iRGig4goZyTIILuh8BqBSwrn+2fpblWsU+4tPOlIL5xyeNjhm2EjGuOns7tPp331QO7v70waJC3vLgeNVV+dt5/TvPqh7PntixVocwiVopX2dlcPCnZzjfkeaxtWn/R9uVYiKLovyKmb1pLVSYnucSXpQ0t8WcZsAhiHbSJbR5tqxNJIlgNGr2kaxL9UYN1fe+ZR2dveroc5SAUO9WVq/hm1dvZo6sVkNdaad3f268s6ntHTRcSN+TsMV/DZ0dvfFjrEQTIsrQRtuqejbO6gXX3szdhuHHbifmsbVp1oq+D2qjGIGDV9TfNAwJOlVSU84554o4vYAjEDcl25cc+1YGckSY8fyjq0ZAW+czu7qKUeJkYsLHMLKPYp9sD/REqEj2f7VZx2rxzZ3aVdPv7Z19aqh3jKqBjXUW6r1YVJLo64+69jhP4kiCVp5gmpP4SBnc2dP1tah8+ZN0+Obd+nSU2ZqYkujzvrXhzMCh8MO3E93fvoEdfX067r7NvF5rqBilly9qliPBQBAnCC3fUXHtsSTs3CqihQfJGP0qYVR7A8Y35AKQgYGXUYJ03AQccD4hrLvX1T4sxaUgg1rrK/Lmla2vGOr7t74kja93K2li2bLLKalwkxdPf1avHKDnn2lW8dXeATsWlbu6kkAAAzbgllTcnbQL1duO8pr8cr12vTy7pyj2G96ebcWr1xf8v3JNSL0cATpOg31+06es1Viaqi3jI7F5RYXMETLd/cPDqUFDuHXJvx5PmPJQ6myqmEvvLpHZyx5iM9zFSBoAACMGuE69tkCh3LmtqM8Fq9cr7s3vqQzljykTS/vzrrcppd364wlD+nujS+VNHAo1Rg3C2ZN0eTWxlQLQ1ClKSyoRDQw6DS5tbGiJ9FBUY1wwBBXvjscOISDnKC8bFwaVtjAoFNDvVVNmdlaNeygwcz+18wurtT6wGhXLbWigdEmLnAII2AYe6b5tfsHBp3OWPKQPnz9IxlX+D98/SM6Y8lDqZPPaZF6/7lc+4tNqVuSUo5xs2bjDu3s7tdRB7dqVfs8rW6fn9Gisrp9vla1z9NRB7dqZ3d/RVsagiAnabC58GB10SCns7tPn7p1XVrAEG5lCRsYdPrUresqXma2lo2kT8PbJLVVcH2g4kZywk+NaGD4aiG3Hft8/D3T9fPf/EHPd+3RwKDT8117dMTE8Xq+a186S/jvIyaOL7ie/3X3P5v6O9v3c75j3ESrPOX7XoxWtst2glwtle3CQc5wynff8sjWtJKy2Tp+B9O2dfXqlke26m/+5OjSPSlkNdKO0CfFdVrJ0/CHSwSqBCf+QPmFqyclVa+hetLY0dbapJvPf5cWfPdB7fXPHna8Hl+ec5xJN5//rpIEjeUY4yZcwjRbn4lg25V+b2cr3x2VLcj53UtvpP4+YuJ43Xz+uzKe892XvFcX3PrfqaAwvA7Ka8RBg38DAKDkotWTsqF60tjS2d2nRTc/rr3OCwr2OsXmwAfzFt38uO659L1FDxxGepKcr2iLRrg1bTgtGKWU7/OLC3JOnDlZ9/32FR0xcbx+evF7Yteb2NKon178Hn34+kf0fNcenThz8gj3GMM1kqDh/UXY/tYiPAYAoEaERwY+Z9mjMlnGldiFyzrk5LSls5dqK2PElXc+pZ27+9RYX6cVF7xbf7v6N2npSJJ3pfpb5/wfnXvzE9q5u69kg57FnSTHpaoOtyUgLgVqztfvS80P95molsBhuKIjSie1rPz04vfQclhhww4anHO/KuaOAACQS1trk6ZOGq89/YOpqjLROvbB3289cLymTho/qk+q4Ln6rGP1q2d2qrt/UFfc8ZSuOPOPdeHy9OpIV5z5x7rijqfUPzik1sb6sg56VqxU1VL3mahG582blnfLCgFDZVFyFQAwaixeuV73/XanXnht31XmbHXsX3htj+777c6y1OxHaa3ZuEPd/YOpsp3RgEGSLly+PlX+s7t/sKJVhYarkD4Twcn1aHyeYaWsRoXiImgAAIwa582fpnD5jbceOD6jjv1bDxyf+tv8dbLJt8wmKisYBCw62nCcoPxnUlra8o6teZ2Adnb3aXnH1kJ2dUTOmzdNXzvr7TlbD4LA4WtnvX1UX33Pt2WFwKE6EDQAAEaNZ17andau8PIbb+qA8Q1py7z8xr6qOs5fR4o/Ubzu/mdTt0C5TxSRW1trk75+dv7pRl8/+9isJ91BZ/pcJ6DBCe1X73y67IFDPulG1VA9aaRqsWVlNCNoAACMOlP238+r3z7k9PqegbR5A0Pe6LFT9t8vNa3aTxSRbNPLu/VXNz2eNq0uoeL7X930eNaRoxfMmqLJE5oSr1yHr4BPntBEZ/oSqbWWldGOoAEAMGp09+2VJO144021tSScZLQ0aYff4tDdtzeV3pLviWK29BbSmSrjMz/coMEhr43p0P2bNHVis4YiXVmmTmzWoft774nBIafP/HBD7GOt2bgjVYkp2/sheB801tdp5+4+rm6XUC21rIx2BA0AgFFj4ZzDNanZS0fa8Ub84F7heZOaG7RwzuEZKQ5JJ4pJqRJx6UwovbP+72Gpv5vG1cd2fndyahpXH7tOWLh/RDhwCAsChnz6RyDTpScflbrlUq39S5BppIO7AQBQNms27tCu3oHcC/p29Q6kartHR+qNO1FMChhQORefdKQk6cdPbNe2Lq/je50prbUhGLdh6sRm/cW7D0+tExV9HwSBQ1g4YOD9ULh8S9BGB2vM9jozWGN1KFpLg5nVm1lzzPQPmNl1ZvaPZja9WNsbDjM7ysy+YGYPmNl2M+s3s5fN7E4zSxyszszON7MnzKzbzF43s7Vmdma59h0AIM2dMUmN9fn/dDXW12nujEmp/6MtDmGcIFa3hXMOV13o0EfTkwJ1dd6yScLvg/7BIdVbegcJAobyKFbaIMqjmOlJ35bUZWYHBBPM7C8l/ULSZyR9QdITZpb8SS6tv5f0TUmHSFoj6Z8lPSLpDEkPmNklcSuZ2bcl3SJpiqSbJP1A0ixJPzezT5d+twEAkvTY5l3qHxxSQ31CL1hfQ72pf3BIj23elTY9OGGc1NKYNr1aThDpN5Gps7tPp3/3QW3p7E089g31pi2dvTr9uw/mTHkJ3gfT25o16NIjkOltzVXzfhjLipU2iPIoZtBwoqRfOudeD027UtJrks6TdLmkAyV9rojbLNS9kmY7597unLvIOfcl59yHJZ0saUDSt8wsLYQ1s/mSPi/p95Le4Zy7zDm3WNJxkrokfdvMppX1WQBAjTpv3jR9+v1Hyrksl5lDnHP69PuPHHWpDPSbyHTlnU9pZ3e/TNLAoNOMthYd1JxeandGW4sGBp1M0s7ufl1551N5PbYpMwiJm4bSiAscwggYqkcxg4bDJT0X/GNmMyQdLelfnHM/cM59W9I9kk4r4jYL4py7xTn365jpv5K0VlKjpPmR2e3+/Tecc6+G1tkqaamkJkkfL8X+AgDSbXp5t258cLP2DnlXlcfF/IqNq/Pm7R2Sbnxwc0bpzSDdYVdPf9r06FVOOmhWj0tPman6OpOTl3L2jx+ZpbpIStE/fmSWGuvr5CTV15kuPSU5rz54H2zu7MlIT9rc2cNAYmVE2uDoUMygYX9Jb4T+f4+8cXXuDU17WtJbi7jNYgp61u2NTP+Af3+vMt0TWQYAUELX3bcplZ50yIT9tDdmgOC9Q9IhE/ZLpSddd9++NJ9ofnRYOD2CcR2qy2Obd2lwyKU6KJ978xMZQd+5Nz+Rqog0OOQy0tLCwu+Dxvq6jPSkpHKsKI1qTxtEcYOGHZLCHZ1PkbRH0vrQtFZlnpRXnJlNlZei1CvpwdD0FkmHSep2zsUVaQ7ajvMqE2Bm6+Nukt42smcAALVh6aLjdMoxB+uQCfvphde8ajlxP2QvvLZHh0zYT6ccc7CWLjpOUmbAcNuFc9PWCadHzJ0xiQ6aVSQYBGzFBe9OBQ7RDvHBtBUXvDtxELBowBB0eo57LAIHYJ9iBg2PSfozMzvTzE6R9OeSHnDOhWvjzZD0YhG3OWJm1iRppbw0o6vCKUiSgk7dr2esmD79wNLsHQAgrLO7T7/e/loqYGioM0UbGxr8oYJfeG2Pfr39NXV298UGDNGrl+H0iMUrN2jpotl00KwiC2ZN0RV3PJU6oe8fTD/ywbQr7ngqMYBbs3FHRsAQF0CGAwcGdyu9fNMGUTnFDBr+wX+8OyX9p7z+Ad8IZprZ/pJOkvR43Mr5MrOtZuYKuP0g4bHqJa2Ql0r1Y3kVoIYjd488Sc654+Jukn43zO0CQE354u1Pale3d1Ixrk4aGHIZV4kHhlyqr8Ou7n598fYnUyeKSSf40bzqxzbvooNmlYgGfXddckJGGstdl5yQs3VI8oKPya2NiWVVw+VYJ7c20opUYvmmDaKyihY0OOc2Sjpe0rX+bb5zLhwgvEPSf0m6bYSb+r2kZwq4/SHuQfyA4QeSzpG0StJfu8xyHEFLwgGKl6slAgBQRLOnHpT6e++QVzEnepV4RltLWl+H2VMPSqW35DrBDwKHIL2FDprVIRr0TYwEDJI0saUx7Vhlax1Ys3GHdnb35x1A7uzur3hLQyEjLI82haQNEjhUVlFHhPYDh7/JMu9hSQ8XYRsnj/QxzGycpB/KCxh+KOk859xgzLZ6zOxFSYeZ2ZSYfg3Bp5di2gBQBgvnHK7vPbwl1drgYhp6w9MmtTbmHOgrl+AE8k+ufTAtdaIYAcPyjq1aMGtKzsfp7O5LjWxdi4LnHVzxz5bGctuFc3XbhXMTX6vz5k3T45t36dJTZuYMIJcumq3r7ttU8dc93xGWR5t80wbDo7gTqFdOMdOT0pjZQRUeyC2WmTVK+om8gGG5pHPjAoaQB/z7uFKxp0eWAQCU0JqNO7Sru18z2lo0va1ZWzp7M9KGtnT2anpbs2a0tWiXf5U4qIa0cFlHzmpIC5d1lKUaEhWaChOcuOdKYwkvG2d5x1bdvfElLV65IefrvnjlBt298aWaft1LaThpg5Vu9QmrtbLMRQ0azKzVzP7ZzF6S1ClpS2je8Wa2xsxmF3ObBe5fk6Q7JJ0l6XuSPu6ciynYl2aZf/8VM0u1i/sDui2W1Cfp+8XfWwBAVJBmtKp9nla3z8+aNrS6fb5Wtc9LpRl193mF+zZ39mQNHIKAYXNnjySl1ilVB80Fs6ZQoakAxUpj4XWvHsNNG6wGtRj0Fy1oMLMDJHVIukxeP4LfSmlDKm6U9F5JHy3WNodhmaQF8gKaFyV91cyuitxOCq/gnHtU0nck/ZGkJ83sWjNbKmmdpImS/sYf6A0AUAZBX4Ncdd3bWptSJxgL5xyuSf4IwtkCh3DAMKm5QQvnHF7SDppxI+FSoSleodWvko4Lr3t1CT7PuYQ/z9WgFoPPYrY0fEXS2yV9zDk3W9Lq8EznXK+kX8kbD6FSgnEk2iR9VdKVMbeTois55z4v6WOSXpJ0oaTz5A1U96fOuX8t9U4DAEZmzcYd2tU7kCrHGgQOYUHA0FBn2tU7oFXrtpe8g2bcCWwYJ66eYqex8LpjpGox+Cxm0PBhSf/pnFuesMw2eYOlVYRz7iTnnOW4XZVl3Vudc+9yzrU45yY4597nnLurzE8BAOArJG0ouCo4MOTSAoeohjrTwJDT9LZm/WTdC0W5sp0LFZpyK0UaC687RqrWgs9iBg1vlfRkjmW6lb18KQAAeSk0bSj84x4OHMKCgOGog1t1zpzDtbmzp2wdNHOlWiE+jSWuFGkhaSy87hipWgo+ixk07JZ0cI5lpsvrTwAAwLAMt0NsNHCICgKG2y6cq4tPOrIsHTRrrfpKsV126szUDaiUWgk+ixk0/LekM81sQtxMM5sirxPyiMdqAADUppF2iA1q7zfUx7Q01JuWLpqderxSd9AMV1/Z9PLurKlWwbyxUH2l2pSqMhYwFhUzaLhO0iRJa8zsmPAM///VkvaTtKSI2wQA1JCRdIhd3rFVm17erfYV6zUwGNPSMOjUvmK9Nr28W8s7tpa8FSBcfeXMJQ9nTbUKzxvt1VeqSSkrY6G21ErwWbQRoZ1z/2lmV0m6StJTkgYkycw6JR0kr/zqF/wSpgAAFCw8MnA+aUPByMDBVf2GeksFDHWSogP1bO7s0RlLHkot872Htuj2i+dn3VZnd58+cv2j2tbVm7Z/+QhaPc5c8rD6B4fUWF+npYtm64PXPphaprG+Lm3eWEp1qKS4Fqs5X78vNT/cUjXWUkxQXNH3Urhfw1h7DxV1cDfn3NfklVT9D0mvShqU5CStkXSKc+5bxdweAKD2DCdt6OU33pSkVDAwri4zYBjn/yKGWyG2dfXqI9c/mrUGezhgeHDTKwU9j2DE4SAo6B8c0uKVG9KWic4bS1ctK6WYYz6gthVrwMHRopiDu51oZu90zv3SOXe2c26Kc67ROTfZOfenzrkHirUtAAAKYUrvw7B3SJrR1pIxLU62wCEcMEjS0YfuX9A+hVOt7rrkhKzVV8LzRlKhCZ5ij/mA2lSLwWcxWxp+KW/gMwAAqsqWzu6MaYMxFZSyCQKH6LSwZ17aXdA+hccemHnIhKzVV4J5w63QhHSlGPMBwzdaK4jVYvBZtD4N8kqp7ini4wEAUBTTIq0KUuZJf1SdSeG4Imn5hnrT5ae9reD9KmQ8AU5ci4fXvToEfY1WdGxLDOLCV/WlwvoOlcpw+1eNZsVsaVgraX4RHw8AgKJoaUq/RjYus+JqxrTz50+NLc0a1VBvuvuS92rmIbEVx/NSK9VXgLBwBbFs7/VoGlA1VRArdVnmalPMoOEKSUeb2d+bWUMRHxcAgBG5+KQjdflpR2vqxGZJ0t6YzKRg2tSJzbr8tKM1va1VP7jg+MTAoaHe9IMLjtdjm3cNa7+CMrC5Sn8GZWCBsSSavhMXOOTqN4DyKWZ60pfklVr9sqRPmtlvJL0kr3pSmHPOfbKI2wUAIKeLTzpSC+ccntGBOWzqxGbdfvF8rdm4Q1+982kddXCrli6arQuXr49dfumi2brijqeGlTYRpGYE1ZGSSn8GZVkL3QZQ7YLAIQgOPnrjY2nzCRiqRzGDho+F/j7Uv8VxkggaAABVa8GsKVrRsU3PvtKdUQY1bPHKDRoYdMNKm5g7Y5Lq6yxxHIbwOA71daa5MyYN6/kA1SwaOIQRMFSPYqYnTc/zNqOI2wQAIC+d3X1auKwjsUPztq5eLVzWIck7YQ8PBhdnYNCpod6GNfDadfdt0uCQk0lZx2EIxnEwedWerrtvU0HbAEaLIHCIqyBGwFAdijki9LZiPRYAAIW49OSjEucHAcPmzh5JXqfnaL+GYNrmzh595PpHNehcYsAQGBh0+tSt6xJHjo5z9VnH6oktXdrZ3a/G+rqsqRlB+tLk1kZdfdaxeT8+ABRTUUeEBgCgEi47dWbqFmfVuu2JAYPkTQsqKG3r6tULr+ZfRXxbV69ueWRrQfvc1tqkez57oo46uDWVohRNzQj3d7jnsydyxRVjFhXEqh9BAwBgzGv1S66GA4boiNBSeuAQ1lBvOmD8uIxpYb976Y2C9ytcPaZ/cEj1lv6Y4Q7SBAwYq6JlVcPGymjKYwFBAwBgzFswa4omtTSmBQyr2uelLRMEEXudND4UOQRlVcfVpf9kRsuxHn3o8MZpCAKH6W3NGnTpTSDT25oJGDCmRQOG2y6cmzY/1zgOKB+CBgDAmLdq3fZU2kMQMERPxFe1z0sFDnv86CIIGK6446mMtIkr7ngqLXDY6qc/DZcps4kjbhowVsQFDNHPZa5xHFA+BA0AgDEvSE/KFjBI3hX/cODw9rdMSAUM2dImgsDhjFmHaumi4wrer/Dgbps7ezLSkzZ39jC4G8asNRt35ByHIToA3JqNOyqwp5CKO04DAABVKRgQbcGsKYmpPkHgsGbjDi2YNSXjKmjcwGtX3PFURkpFPoLB3YKyrkGn57Cgc/QZSx5KVXJicDeMFYV8Lm+7cK7WbNzB+7+CCBoAADUh35ONttam2IAhLm0iPIptoX0PXn7jTUlKBQNBp+dwBaUgiAiWCdZB8eUq24vSKORzScBQWQQNAICadfz0ibHTC0mbCAKHQq+CPvPS7rT/g0HiPnjtg2nTwmNFRNdB8WQr1wvAQ9AAAKhZP75oXuz0cqRNXH7a2/TA717RkB8TDAw6XbRiXdoy4YChzrx1AKAS6AgNAECM8+ZNyyvdaLhpE49t3qUhlz7ew5bO3thlG+pNQ85bBwAqgZYGAAAqIAg05s6YpItWrMsaMExva9YN587RY5t3kdMNoGJoaQAAoELOmzdNMw+ZoNXt8zV1YnPG/KkTm7W6fb5mHjKBgAFARdHSAABAnkpZYcfJ5TUNACqBoAEAgDyVosJOZ3efzln2qJ7v2pMx7/muPTpn2aNa3T6/oHKuAFBspCcBAFAhQcCQrT+D5HWOPmfZo+rs7ivjngFAOoIGAAAqIC5gmN6W2a9BInAAUHkEDQAAVMCqddszAobV7fPTlgkHEVs6e7Vq3fay7R8AhBE0AABQYUHAEO23sLp9ftbWBwAoJ4IGAAAqoLXJq0WSLWCQvIHjwoFDsA4AlBvfPgAAVEAw7sKCWVMSKyMFgcOajTsYqwFAxRA0AABQIfkGAW2tTQQMACqK9CQAAAAAiQgaAAAAACQiaAAAAACQiKABAIAKWd6xNa8B2zq7+7S8Y2vpdwgAsiBoAACgApZ3bNVX73xaH73xscTAobO7Tx+98TF99c6nCRwAVAxBAwAAFbBg1hQddXCrnn2lO2vgEAQMz77SraMObtWCWVMqsKcAQNAAAEBFtLU26bYL5yYGDuGA4bYL5yaO5wAApUTQAABAhcQFDmEEDACqRc0HDWb2PTNz/u3IhOXON7MnzKzbzF43s7VmdmY59xUAMPZEA4cwAgYA1aKmgwYz+1NJn5DUnWO5b0u6RdIUSTdJ+oGkWZJ+bmafLvFuAgDGuCBwmNTSmDadgAFAtajZoMHMJssLAH4saX3CcvMlfV7S7yW9wzl3mXNusaTjJHVJ+raZTSv9HgMAAACVUbNBg6Qb/fvFOZZr9++/4Zx7NZjonNsqaamkJkkfL/reAQBqRlAlaVdPf9r0XOVYAaBcajJoMLOPSfqQpHbn3K4ci3/Av783Zt49kWVybXd93E3S2/JZHwAw9kTLqoYllWMFgHKquaDBzKZKuk7SD5xzP8uxbIukwyR1O+d2xCzyrH8/s6g7CQCoCdGA4bYL56bNzzWOAwCUS00FDWZWJ+lWeR2fL8ljlQP8+9ezzA+mH5jP9p1zx8XdJP0un/UBAGNHXMAQ7fScaxwHACiXURc0mNnWUInUfG4/CK1+maT3SfpUuH9CEbgiPhYAoAas2bgj5zgM0XKsazbGNXoDQOmNq/QODMPvJb1ZwPJ/kCQzO0rSNyR93zm3Js91g5aEA7LMz9USAQBArPPmTZMkLZg1JbGsahA4rNm4I7UOAJTbqAsanHMnD3PVt8uvdGRm2aodPWtmknS2c+5nzrkeM3tR0mFmNiWmX8NR/v2mYe4TAKCG5RsEtLU2ETAAqKhRFzSMwFZJ38sy7wxJh0paLekNf9nAA5LOlXSapO9H1js9tAwAAAAwJtVM0OCc+x9JF8TNM7O18oKGLzvnnovMXiYvaPiKmf0s6AvhD+i2WFKfMoMJAAAAYMyomaBhuJxzj5rZdyR9TtKTZvYTSY2S/kLSREmf8Qd6AwAAAMYkgoY8OOc+b2ZPSvq0pAslDUnaIOlbzrm7KrpzAAAAQIkRNEhyzp2UxzK3yhvjAQCAkrn05KNyLwQAZUbQAABAFbns1JmV3gUAyDDqBncDAAAAUF4EDQAAAAASETQAAAAASETQAAAAACARHaEBAACAIhjL1c8IGgAAAIAiGMvVz0hPAgAAAJCIoAEAAABAIoIGAAAAVMTyjq3q7O7LuVxnd5+Wd2wt/Q4hK4IGAAAAlN3yjq366p1P66M3PpYYOHR29+mjNz6mr975NIFDBRE0AAAAoOwWzJqiow5u1bOvdGcNHIKA4dlXunXUwa1aMGtKBfYUEkEDAAAAKqCttUm3XTg3MXAIBwy3XThXba1NFdpbEDQAAACgIuIChzAChupB0AAAAICKiQYOYQQM1YOgAQAAABUVBA6TWhrTphMwVA+CBgAAAACJCBoAAABQUUGVpF09/WnTc5VjRfkQNAAAAKBiomVVw5LKsaK8CBoAAABQEdGA4bYL56bNzzWOA8qHoAEAAABlFxcwRDs95xrHAeVD0AAAAICyW7NxR85xGKLlWNds3FGBPYUkjav0DgAAAKD2nDdvmiRpwawpiWVVg8BhzcYdqXVQfgQNAAAAqIh8g4C21iYChgojPQkAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACSqyaDBPOeb2Voz6zKzPWa2xcxWmdnMLOucb2ZPmFm3mb3ur3tmufcdAAAAKLeaCxrMbD9J/yHpFkmHSvqhpO9KelDSHEkZQYOZfdtffoqkmyT9QNIsST83s0+XYbcBAACAihlX6R2ogH+WdKakf5R0hXNuKDzTzBoi/8+X9HlJv5f0Lufcq/70b0laL+nbZnaXc25rGfYdAAAAKLuaamkwsz+S1C7pvyV9JRowSJJzbiAyqd2//0YQMPjLbZW0VFKTpI+XZIcBAACAKlBTQYOkj8p7zrdK2t/M/trMvmRmF5rZkVnW+YB/f2/MvHsiywAAAABjTq2lJ73Lvz9AXrrRpNA8Z2b/JukS59ygJJlZi6TDJHU753bEPN6z/n1s5+koM1ufZdbb8lkfAAAAqIRaa2k42L//mqR18jozT5B0srwg4mJJfxda/gD//vUsjxdMP7CoewkAAABUkVHX0mBmWyVNLWCVlc65v/b/rvfvd0g62zm3x///ATP7c0kbJH3OzP7BOddfwDZcXgs5d1zcdL8FYnYB2wMAAADKZtQFDfJaBN4sYPk/hP4OOjLfGwoYJEnOud+Y2RZJfyTpGEm/0b6WhAMUL1dLBAAAADDqjbqgwTl38ghWf0bSByW9lmV+EFSM97fVY2YvSjrMzKbE9Gs4yr/fNIJ9AgAAAKparfVpuN+/PzY6w8yatC8I2Bqa9YB/f1rM450eWQYAAAAYc2otaLhH0mZJf2Jmp0bm/Z28dKNfOedeCk1f5t9/xcwOCiaa2TRJiyX1Sfp+yfYYAAAAqLBRl540Es65fjM7X9J/SbrHzO6QtE1eKdYTJe2UdGFknUfN7DuSPifpSTP7iaRGSX8haaKkzzAaNAAAAMaymgoaJMk597CZzZF0paT3yyuX+rKkGyX9vXPuhZh1Pm9mT0r6tLygYkhepaVvOefuKte+AwAAAJVQc0GDJDnn/ldeS0Eh69wqbyRpAAAAoKbUWp8GAAAAAAUiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAopoLGsysycwWm9kTZtZpZt1m9lszW2JmUxPWO99fp9vMXjeztWZ2Zjn3HQAAAKiEmgoazGycpPsl/aukCZJuk7RM0iuSPiPpN2b2xzHrfVvSLZKmSLpJ0g8kzZL0czP7dFl2HgAAAKiQcZXegTI7W9J75AUOH3TODQUzzOxqSV+V9DeSPhGaPl/S5yX9XtK7nHOv+tO/JWm9pG+b2V3Oua3lehIAAABAOdVUS4OkGf793eGAwXenfz85Mr3dv/9GEDBIkh8kLJXUJOnjRd5PAAAAoGrUWtDwtH9/uplFn3vQP+G+yPQP+Pf3xjzePZFlAAAAgDGn1tKT7pb0U0kflrTRzO6T1C/pOEknSPoXef0dJElm1iLpMEndzrkdMY/3rH8/M5+Nm9n6LLPeltfeAwAAABVQU0GDc86Z2Z/L67vwd5LCnZ7vl/RD59xgaNoB/v3rWR4ymH5gMfcTAAAAqCajLj3JzLaamSvg9oPQuvtJ+rG8zs6L5VVDOkDSAklTJT1oZmcNY7dcXgs5d1zcTdLvhrFNAAAAoCxGY0vD7yW9WcDyfwj9/UVJ50i61Dl3Q2j6PX4LxP9Iuk77OkUHLQkHKF6ulggAAABg1Bt1QYNz7uQRrB50dv5lzOP+xsy6JE01s0nOuV3OuR4ze1HSYWY2JaZfw1H+/aYR7BMAAABQ1UZdetIINfn30bKqMrMmSfv7//aHZj3g358W83inR5YBAAAAxpxaCxoe8u+/7AcJYVfJa3n5b+fc7tD0Zf79V8zsoGCimU2T1y+iT9L3S7K3AAAAQBUYdelJI/QNSX8q6WRJvzOzeyXtkTdK9Lv9vy8Nr+Cce9TMviPpc5KeNLOfSGqU9BeSJkr6DKNBAwAAYCyrqaDBOfeimc2W9AVJZ8gbyblO0g5Jt0j6J+dcRiUj59znzexJSZ+WdKGkIUkbJH3LOXdXmXYfAABgzLv05KNyL4Syq6mgQZKcczvllVz9mwLXu1XSrSXZKQAAAEiSLjs1rzFzUWa11qcBAAAAQIEIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAicw5V+l9qHlmtmv8+PETjznmmErvCgAAAMao3/72t9qzZ0+Xc25SoesSNFQBM9siaX9JWyu8K+XwNv/+dxXdCyThGFU/jlF14/hUP45R9eMYlcY0SW8456YXuiJBA8rKzNZLknPuuErvC+JxjKofx6i6cXyqH8eo+nGMqg99GgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACSiehIAAACARLQ0AAAAAEhE0AAAAAAgEUEDAAAAgEQEDQAAAAASETQAAAAASETQAAAAACARQQMAAACARAQNNczMtpqZy3J7KY/1vxda/siE5c43syfMrNvMXjeztWZ2ZsLy483sajN7xszeNLNXzGyVmR2TsM5bzezfzewPZtbnP7fvmtlBuV+J6lXqY2Rm7zGza8zsv81sp//abTGzm3McU46Rr1yfo9DyTWb2lL/8CwnLcYx8ZfyuazWzvzOz3/jfd7vN7Gkzu9HMGmKW5xj5ynGMzOxg//vuKf/Y7DKz9Wb2t2Y2Ics6HCNfIcfIzKYlLOvM7EcJ2+GcoUoxuFsNM7Otkg6U9N2Y2d3OuW8nrPunkv5DUrekVklHOeeei1nu25I+L+kFST+R1CjpLyVNlPQZ59y/RpZvknS/pPdIWifpAUmHSzpHUr+kDzjnHo+s80eSHpV0sKQ7Jf1O0rslvV/SM5Le45zblfWFqGKlPkb+F/1kea/fekl7Jc2TNF9Sj6RTnXMdkXU4RiHl+BxF1vlnSRf6y7/onHtrzDIco5AyfddNk/QLSUdKekjS45JM0jRJH5B0hHOuO7Q8xyikDN910+Qdk4MlrZX3mu8n6YOSZkp6UtJc59ye0Doco5BCjpH/em+R9BtJP4tZ/inn3E9itsE5QzVzznGr0ZukrZK2DmO9yZJekvQjeV++TtKRMcvN9+c9J+mg0PRpknZJelPStMg6X/LXWS2pLjT9LH/60+Hp/rz/9Od9JjL9O/70ZZV+rav4GH1B0ltipn/ZX2djzDyOURmPUWSdkyQNSWr3l38hy3IcozIeI0kNkn4t7yTlz2Lm18u/SMcxqtgxWurPuzLm2NzvzzuPY1ScYyTvd95JuqWAx+ecocpvFd8BbhU8+MP/kr7D/5KelONLerk/7+Mx877mz7s6NM0kbfOnT49Z50F/3vtD02b407bEfDFMkHflqUdSS6Vf72o8Rgnr10vq9debxDGq/DGStL+/rV/4/8cGDRyj8h8jSZ/w530rz8flGJX/GN3jz/u/MfM+58/7PMeoOMdIwwsaOGeo8ht9GtBkZn9tZl82s0vN7P1mVp9tYTP7mKQPSWp3uZvvPuDf3xsz757IMpL0R5KOkLTJObclz3WCv//LOTcUXtg5t1vSI5KaJc3Nsa/VrJTHKBsnL1VJkgZD0zlG8cpxjJZIOkjSJ3MsxzGKV8pj9Ff+/S1+Lvf/M7MvmdkiM5sUszzHKF4pj9HT/v0Zkceok3S6vBa8B0KzOEbxCjpGkt5iZhf5y19kZu9IWJZzhio3rtI7gIo7VNKKyLQtZvZx59yvwhPNbKqk6yT9wDn3s6QHNbMWSYfJy3PcEbPIs/79zNC0o/37TVkedrjrBDmr9yftcxUryTHK4Rx5V10ec869FprOMYpX0mNkZmdLOl/SBc6553MszjGKV8pj9C55qROnS/pHpf+29pjZJc65fw9N4xjFK+UxukbSmZL+3szeL2mDvHz5D/rbvcA59+vQ8hyjeHkfI9+p/i3FzNZKOj/8XcY5w+hAS0Nt+76kk+V9CbRImiXpBnnNiveY2f8JFvSvxtwqr+nukjwe+wD//vUs84PpB1ZgndGklMcolplNl/Qv8loaPh+ZzTHKVNJjZGaH+I93j3Pue3mswjHKVLJj5HfE3F9ev4ZvSbpW0lR56TJB2tLNZha+2skxylTSz5Fz7hV5V4/vkHe1+W/8dY+WtErSfZFVOEaZ8j5G8tJb/17ScfJaSA+S9D5Jv5TXN+t+P1AIcM4wCtDSUMOcc1dHJj0lqd3MuuWdLF4l6Wx/3mXyPvBnOOdeLeZuFLCslWmdqlHuY2RmB8tr0p0sabFz7tFCHyLY9RKvUzXKcIxukndC+qmR760kjpFU3GNUH7q/3Tl3eWje982sVV5q2ReUnv6ShGNU5M+RX83nPySNl7RA+9JQzpL0z5LOMrN5WdJcYh8y2PU8lx/uOlWjkGPkB2lfjSz/oJl9UNLDko6XdIG81qKCdqOAZWvuGJUaLQ2Is8y/P1GSzOwoSd+Q9H3n3Jo8HyOI1g/IMj8u2s+1zv5FWmcsKMYxSuMHDA/Iu/J2qXPu+pjFOEb5G/ExMrPzJP2pvOPxYp7b5Rjlb8THyDnXK69qkuRdxY4Kpr07NI1jlL9ifdfdIu/K+Eecc/c4595wzr3knLtB0lckHSLpytDyHKP8pR2jJM65vZJujlmec4ZRgKABcV7x74Omw7dLapL0cYsM0CLvao8kPetP+5AkOed6JL0oqdXMpsRs4yj/PpxX+Ix/P1PxirXOWDDiYxTmH6O1kv5YXgvDkizb5RjlrxjHaLZ/f2vMOpJ0WGjagf40jlH+ivU5Cl6/12K2EVwJHx+zPMcotxEfI/MGbnufpC7n3JMx2/ilf39caBrHKH/RY5TLzujynDOMDqQnIc48/36zf79VUrZc6jPk5TeulvSGv2zgAUnnSjpNXi5k2OmhZQK/l/S8pJlmNj2mmThuneDL/oNmVheuhuD/ULxH0h5Jj2XZ/9GqWMdIZvZWea/pkfKqkNyYsF2OUf6KcYw65A1WFeeT8vKGb/P/7/PvOUb5K9bn6H55V7GPlXR3ZL1jQ48d4BjlrxjHqNG/39/MGp1z/ZH1Jvv34ekco/xFj1EuQWWi6PKcM1S7StZ75Va5m7yrNRNjpk+VVz3ASfpyHo+zVgzuNpqP0RHyvngHFVMbO8vjcYzKeIwS1nFicLeqOEaS3iZpQN54AW8NTd9PXgdbJ+kqjlFFj9H/+vP+PjJ9P3knkk7SNRyj4hwjeX0WGmOW/4C8334naX5kHucMVX6r+A5wq9CB9zosvSmv0+v1kv5J3pDte/wPzd1xH/iYx8n6Je3P/2d//nZ5VUWWSur0p306ZvkmeR3UnKT/lvRNST+U94PcI+n4mHX+SNLL/jo/k1fy8AH//2cUGpxsNN3KcYzkDXDjJK3ztxd3m8YxquznKMs6SUEDx6jMx0j7BgjbJe9K+BL/dXPyrlqO5xhV7hhJOkVea1xwPL4j6d/ktUY4eSe+kyLrcIyGeYz8Y7FT3sn8tf4tGHnbSboiy3Y4Z6jiW8V3gFuFDryX33mbpN/Jy8Md8D/gv5B0niTL83GyfkmHljnf/zD3SNot6VeSzkxYfrykq/0v8b7QF88fJ6xzuLzmzB3ympi3yavKkHFlZLTcynGMQl/gSbeTOEaVO0YJ62QNGjhGlTlG8tJjHpDXifJNeVe3/06RgIFjVJljJOkd8sYYeN5/7fbIuxL9D5IO5BgV7xjJS5+8S15Q1u2/ds9L+rGk9+bYFucMVXoz/8UDAAAAgFhUTwIAAACQiKABAAAAQCKCBgAAAACJCBoAAAAAJCJoAAAAAJCIoAEAAABAIoIGAAAAAIkIGgAAAAAkImgAAAAAkIigAQAAAEAiggYAAAAAiQgaAAAAACQiaAAAlJ2ZOf82ZGZ/lLDcL0PLfiwy75Yc04PboJm9bma/N7OfmdmnzWxSaZ4ZAIxN4yq9AwCAmrVX3u/QJyV9OTrTzI6S9L7QcoW6U9L/+H9PkHS4pPdKOkvSN8zsUufcLcN4XACoOQQNAIBKeVnSDkkfN7OvOuf2RuZfIMkk3SXpQ8N4/J9FgwIzGyfpE5Kuk/R9M+tzzt02jMcGgJpCehIAoJJuknSopDPDE82sQdL5kh6V9HSxNuac2+ucu1HSxf6k75jZ+GI9PgCMVQQNAIBKuk1Sj7xWhbA/k3SIvKCiFG6VtE1ewPKBEm0DAMYMggYAQMU453ZL+pGk08zsraFZn5L0hqRVJdrukKSH/H/fXYptAMBYQtAAAKi0myTVy+trIDObKulUSSudc70l3O6L/v3kEm4DAMYEggYAQEU55x6XtFHSJ8ysTl6qUp1Kl5oUsGAXSrwdABj1CBoAANXgJklTJZ0m6eOS1jvnfl3ibb7Fv99Z4u0AwKhH0AAAqAYrJO2RdIOkwyTdWMqN+S0aJ/r/Pl7KbQHAWEDQAACoOOfca5J+Iumt8qoplXrshI9JOkLeOBG/LPG2AGDUY3A3AEC1uELSTyXt9KsqFZ0/uNvHJS2R15fhMufcm6XYFgCMJQQNAICq4Jx7XtLzRXzID5nZNP/vFnktC++VNEXS65Iucs79uIjbA4Axi6ABADBa1fv3/Vnmn+XfhuSlPO2U9ISk+yT90DnXVfI9BIAxwpyj0hwAYPQxs/+U9EFJpzrn7qv0/gDAWEbQAAAYdczsEEnPSWqSdIhz7tUK7xIAjGmkJwEARg0z+5CkUyR9SFKrpH8lYACA0qPkKgBgNPmQpE9J6pZXbemzldwZAKgVpCcBAAAASERLAwAAAIBEBA0AAAAAEhE0AAAAAEhE0AAAAAAgEUEDAAAAgEQEDQAAAAASETQAAAAASETQAAAAACARQQMAAACARAQNAAAAABIRNAAAAABIRNAAAAAAIBFBAwAAAIBE/x8QQw588flyhgAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -230,7 +230,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -296,7 +296,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -330,7 +330,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -397,7 +397,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -432,7 +432,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -440,7 +440,7 @@ "metadata": { "image/png": { "height": 277, - "width": 394 + "width": 393 }, "needs_background": "light" }, @@ -492,12 +492,62 @@ "help(LT.fakepulsar)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Rather than generating fake TOAs you might want to calculate a pulsar's phase at a particular set of times. Using the `tempopulsar` object you can input an arbitrary set of observation times and use the residuals to get the pulsar's relative phase. For example:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# create a set of times (in MJD)\n", + "obstimes = N.arange(53000, 54800, 10, dtype=N.float128)\n", + "toaerr = 1e-3 # set the (probably arbitrary) errors in the times (us)\n", + "observatory = \"ao\" # the observatory\n", + "obsfreq = 1440.0 # the observation frequency (MHz)\n", + "\n", + "psr = T.tempopulsar(\n", + " parfile=\"B1953+29-simulate.par\",\n", + " toas=obstimes,\n", + " toaerrs=toaerr,\n", + " observatory=observatory,\n", + " obsfreq=obsfreq,\n", + " dofit=False,\n", + ")\n", + "\n", + "# get the phases in cycles (mod 1) referenced to the initial observation time\n", + "phases = psr.phaseresiduals(removemean=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The observation times can be input as an array of astropy Time objects. The TOA error values, observatory values, and observation frequencies, can also be arrays of the same length as array of observation times.\n", + "\n", + "If you want to extract phases referenced to a particular epoch, observatory and frequency, you can use the `refphs` argument to the `residuals` (or `phaseresiduals`) method of the `tempopulsar` object. For example, to reference the phase to an epoch of 52973 at the solar system barycentre you could use:" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "phaseref = psr.phaseresiduals(removemean=\"refphs\", epoch=52973.0, site=\"@\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note**: this can also be set by using a parameter file containing the line `REFPHS TZR` and having that values `TZRMJD`, `TZRSITE` and `TZRFREQ` set." + ] } ], "metadata": { From 6a1880899e5789cc7bdb54346d1a8d0f4db090c8 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 17:57:38 +0000 Subject: [PATCH 12/17] Compactify some methods --- libstempo/libstempo.pyx | 40 ++++++++-------------------------------- 1 file changed, 8 insertions(+), 32 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 5944324..dace482 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -1658,28 +1658,13 @@ cdef class tempopulsar: return self._dimensionfy(res,u.s) if self.units else res - def phaseresiduals(self, updatebats=True, formresiduals=True, removemean=True, epoch=None, site=None, freq=None): - """tempopulsar.phaseresiduals(updatebats=True,formresiduals=True,removemean=True) - + def phaseresiduals(self, **kwargs): + """ Returns phase residuals (in cycles) as a numpy.longdouble array (a copy of - current values). Will update TOAs/recompute residuals if - `updatebats`/`formresiduals` is True (default for both). Will remove residual - mean if `removemean` is True; first residual if `removemean` is 'first'; - weighted residual mean if `removemean` is 'weighted'. - - If `removemean` is `refphs` then the residuals will be referenced to the TZR - parameters (TZRMJD, TZRSITE, TZRFREQ) given in the parameter file, or, if - given, the `epoch`, `site` and `freq` values. + current values). Arguments are the same as for the residuals method. """ - res = self.residuals( - updatebats=updatebats, - formresiduals=formresiduals, - removemean=removemean, - epoch=epoch, - site=site, - freq=freq, - ) + res = self.residuals(**kwargs) # convert to phase (in cycles) res *= self["F0"].val @@ -1977,26 +1962,17 @@ cdef class tempopulsar: return numpy.asarray(_pulseN) - def phase(self, updatebats=True,formresiduals=True,removemean=True, epoch=None, site=None, freq=None): + def phase(self, **kwargs): """Return the pulse phase. - Returns the pulse phase as a numpy array. Will update the - TOAs/recompute residuals if `updatebats`/`formresiduals` is True - (default for both). If that is requested, the residual mean is removed - `removemean` is True. - - If `removemean` is `refphs` then the residuals will be referenced to the TZR - parameters (TZRMJD, TZRSITE, TZRFREQ) given in the parameter file, or, if - given, the `epoch`, `site` and `freq` values. - - All this just like in `residuals`. + Returns the pulse phase as a numpy array. Arguments are the same as for + the `residuals` method. """ cdef long double [:] _phase = &(self.psr[0].obsn[0].phase) _phase.strides[0] = sizeof(observation) - _ = self.residuals(updatebats=updatebats, formresiduals=formresiduals, - removemean=removemean, epoch=epoch, site=site, freq=freq) + _ = self.residuals(**kwargs) return numpy.asarray(_phase).copy() From 28520d580ce3ebd306b47164bdd0b48d70eb6c74 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Wed, 24 Mar 2021 18:04:23 +0000 Subject: [PATCH 13/17] Add some comments about setting a reference observation --- libstempo/libstempo.pyx | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index dace482..eb854f8 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -1632,9 +1632,16 @@ cdef class tempopulsar: if removemean != 'refphs': formResiduals(self.psr,self.npsr,1 if removemean is True else 0) else: + # set anobservation from which all residuals will be + # referenced. Note this is equivalent to having a parameter + # file containing the line REFPHS TZR and also having values + # for TZRSITE, TZRMJD and TZRFREQ if epoch is None and site is None and freq is None and self.psr[0].refphs == REFPHS_TZR: + # refphs is already set formResiduals(self.psr, self.npsr, 0) else: + # set values for the reference observation (stored within tzrsite, which gets + # updated within the TEMPO2 formBatsAll function) if epoch is not None: # set reference epoch self["TZRMJD"].val = epoch From bdc2cde77f89d77a5e16373d8345ca02c908316b Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Fri, 26 Mar 2021 15:08:52 +0000 Subject: [PATCH 14/17] Mnior simplification for when passing a single TOA --- libstempo/libstempo.pyx | 20 +++++--------------- 1 file changed, 5 insertions(+), 15 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index eb854f8..71d7844 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -902,24 +902,14 @@ cdef class tempopulsar: toas = self.__input_toas if toas is not None: - if isinstance(toas, (list, numpy.ndarray, tuple)): - toamjd = numpy.array(toas, dtype=numpy.float128) - elif isinstance(toas, (float, numpy.float128)): - toamjd = numpy.array([toas], dtype=numpy.float128) + if isinstance(toas, (list, numpy.ndarray, tuple, float, numpy.float128)): + toamjd = numpy.atleast_1d(toas).astype(numpy.float128) else: # check if using an astropy time object try: - if isinstance(toas, Time): - toamjd = toas.mjd.astype(numpy.float128) # make sure in MJD - except NameError: - raise TypeError("Input TOAs are not of an allowed type") - - try: - if isinstance(toamjd, numpy.float128): - # convert to array is a single value - toamjd = numpy.array([toamjd]) - except UnboundLocalError: - raise TypeError("Input TOAs are not of an allowed type") + toamjd = numpy.atleast_1d(toas.mjd).astype(numpy.float128) # make sure in MJD + except Exception as e: + raise TypeError("Input TOAs are not of an allowed type: {}".format(e)) self.psr[0].nobs = len(toamjd) self.nobs_ = len(toamjd) From 6851bd09ffa46ba2a659c17f7da1618e811fec71 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Thu, 8 Apr 2021 12:28:19 +0100 Subject: [PATCH 15/17] Add link to conda in README --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2821476..9e24b5b 100644 --- a/README.md +++ b/README.md @@ -15,13 +15,15 @@ ## Installation ### conda Install -`libstempo` is installed most simply via conda as the `tempo` dependency + +`libstempo` is installed most simply via [conda](https://docs.conda.io/en/latest/) as the `tempo` dependency is bundled in the conda recipe. Simply use ```bash conda install -c conda-forge libstempo ``` ### pip Install + To use `libstempo` with pip (or from source), tempo2 must be installed as a prerequisite. Currently there are two recommended methods to do this. 1. Install via script. From efe23a145b9ca0115359107b986e06e62183c8c3 Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Thu, 8 Apr 2021 13:18:33 +0100 Subject: [PATCH 16/17] Empty fname arrays before filling them --- libstempo/libstempo.pyx | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 71d7844..69663c4 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -28,7 +28,7 @@ except ImportError: pass from libc cimport stdlib, stdio -from libc.string cimport strncpy +from libc.string cimport strncpy, memset from cython cimport view @@ -972,6 +972,8 @@ cdef class tempopulsar: # fill in fake filename for i in range(self.psr[0].nobs): + # make sure fname array is empty + memset(&(self.psr[0].obsn[i].fname[0]), 0, MAX_FILELEN * sizeof(char)) strncpy(&(self.psr[0].obsn[i].fname[0]), "FAKE", 4 * sizeof(char)) self._inputtoaerrs() @@ -2173,6 +2175,7 @@ def rad2hms(value): return retstr + def rewritetim(timfile): """rewritetim(timfile) @@ -2196,14 +2199,16 @@ def rewritetim(timfile): return out.name + def purgetim(timfile): """purgetim(timfile) Remove 'MODE 1' lines from tim file.""" - lines = filter(lambda l: 'MODE 1' not in l,open(timfile,'r').readlines()) + lines = filter(lambda l: 'MODE 1' not in l, open(timfile,'r').readlines()) open(timfile,'w').writelines(lines) + # load observatory aliases from tempo2 runtime aliases, ids = {}, {} if 'TEMPO2' in os.environ: From 5d12cc72fe48a1575b9de257cef3ecb627028fca Mon Sep 17 00:00:00 2001 From: Matthew Pitkin Date: Thu, 8 Apr 2021 13:27:24 +0100 Subject: [PATCH 17/17] Fix comment typo --- libstempo/libstempo.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libstempo/libstempo.pyx b/libstempo/libstempo.pyx index 69663c4..b8f8f45 100644 --- a/libstempo/libstempo.pyx +++ b/libstempo/libstempo.pyx @@ -1624,7 +1624,7 @@ cdef class tempopulsar: if removemean != 'refphs': formResiduals(self.psr,self.npsr,1 if removemean is True else 0) else: - # set anobservation from which all residuals will be + # set an observation from which all residuals will be # referenced. Note this is equivalent to having a parameter # file containing the line REFPHS TZR and also having values # for TZRSITE, TZRMJD and TZRFREQ