# Path: blond/toolbox/filters_and_fitting.py
# def beam_profile_filter_chebyshev(Y_array, X_array, filter_option):
# def gaussian_fit(Y_array, X_array, p0):
# def gauss(x, *p):
# def rms(Y_array, X_array):
# def fwhm(Y_array, X_array, shift=0):
# def fwhm_multibunch(Y_array, X_array, n_bunches,
#                     bunch_spacing_buckets, bucket_size_tau,
#                     bucket_tolerance=0.40, shift=0):
# def rms_multibunch(Y_array, X_array, n_bunches,
#                    bunch_spacing_buckets, bucket_size_tau,
#                    bucket_tolerance=0.40):
# 
# Path: blond/utils/bmath.py
# def use_mpi():
# def mpiMode():
# def use_fftw():
# def use_precision(_precision='double'):
# def update_active_dict(new_dict):


from builtins import object
from scipy import ndimage
from ..toolbox import filters_and_fitting as ffroutines
from ..utils import bmath as bm
        from ..utils.mpi_config import worker
        from ..utils.mpi_config import worker
import numpy as np

    def apply_fit(self):
        """
        It applies Gaussian fit to the profile.
        """

        if self.bunchLength == 0:
            p0 = [max(self.n_macroparticles), np.mean(self.Beam.dt),
                  np.std(self.Beam.dt)]
        else:
            p0 = [max(self.n_macroparticles), self.bunchPosition,
                  self.bunchLength/4]

        self.fitExtraOptions = ffroutines.gaussian_fit(self.n_macroparticles,
                                                       self.bin_centers, p0)
        self.bunchPosition = self.fitExtraOptions[1]
        self.bunchLength = 4*self.fitExtraOptions[2]

    def apply_filter(self):
        """
        It applies Chebishev filter to the profile.
        """
        self.n_macroparticles = ffroutines.beam_profile_filter_chebyshev(
            self.n_macroparticles, self.bin_centers, self.filterExtraOptions)

    def rms(self):
        """
        Computation of the RMS bunch length and position from the line
        density (bunch length = 4sigma).
        """


# Path: blond/toolbox/filters_and_fitting.py
# def beam_profile_filter_chebyshev(Y_array, X_array, filter_option):
# def gaussian_fit(Y_array, X_array, p0):
# def gauss(x, *p):
# def rms(Y_array, X_array):
# def fwhm(Y_array, X_array, shift=0):
# def fwhm_multibunch(Y_array, X_array, n_bunches,
#                     bunch_spacing_buckets, bucket_size_tau,
#                     bucket_tolerance=0.40, shift=0):
# def rms_multibunch(Y_array, X_array, n_bunches,
#                    bunch_spacing_buckets, bucket_size_tau,
#                    bucket_tolerance=0.40):
# 
# Path: blond/utils/bmath.py
# def use_mpi():
# def mpiMode():
# def use_fftw():
# def use_precision(_precision='double'):
# def update_active_dict(new_dict):


# Path: blond/beam/profile.py
from builtins import object
from scipy import ndimage
from ..toolbox import filters_and_fitting as ffroutines
from ..utils import bmath as bm
        from ..utils.mpi_config import worker
        from ..utils.mpi_config import worker
import numpy as np

    def apply_fit(self):
        """
        It applies Gaussian fit to the profile.
        """

        if self.bunchLength == 0:
            p0 = [max(self.n_macroparticles), np.mean(self.Beam.dt),
                  np.std(self.Beam.dt)]
        else:
            p0 = [max(self.n_macroparticles), self.bunchPosition,
                  self.bunchLength/4]

        self.fitExtraOptions = ffroutines.gaussian_fit(self.n_macroparticles,
                                                       self.bin_centers, p0)
        self.bunchPosition = self.fitExtraOptions[1]
        self.bunchLength = 4*self.fitExtraOptions[2]

    def apply_filter(self):
        """
        It applies Chebishev filter to the profile.
        """
        self.n_macroparticles = ffroutines.beam_profile_filter_chebyshev(
            self.n_macroparticles, self.bin_centers, self.filterExtraOptions)

    def rms(self):
        """
        Computation of the RMS bunch length and position from the line
        density (bunch length = 4sigma).
        """


        self.bunchPosition, self.bunchLength = ffroutines.rms(
