From dbfe25594f5f8b28a7051d6f060e2462d856840e Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Tue, 14 Feb 2023 15:35:01 +0100 Subject: [PATCH 01/33] Remove typesystem decorator from Table class --- ubermagtable/table.py | 38 ++++++++++++++++++++++++++++++++++---- 1 file changed, 34 insertions(+), 4 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index dd69b70..0cd7131 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -2,15 +2,11 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd -import ubermagutil.typesystem as ts import ubermagutil.units import ubermagtable.util as uu -@ts.typesystem( - data=ts.Typed(expected_type=pd.DataFrame), units=ts.Typed(expected_type=dict) -) class Table: """Tabular data class. @@ -111,6 +107,40 @@ def fromfile(cls, filename, /, x=None, rename=True): x=x, ) + @property + def data(self): + """Scalar data of the drive. + + Returns + ------- + pd.DataFrame + """ + return self._data + + @data.setter + def data(self, data): + if not isinstance(data, pd.DataFrame): + raise TypeError(f"Invalid {type(data)=}; expected 'pandas.DataFrame'.") + self._data = data + + @property + def units(self): + """Units of the scalar data. + + Returns + ------- + dict + + Keys are the columns in the ``data`` property, values the respective units. + """ + return self._units + + @units.setter + def units(self, units): + if not isinstance(units, dict): + raise TypeError(f"Invalid {type(units)=}; 'expected dict'.") + self._units = units + @property def x(self): """Independent variable. From 24b75c598a72dd2bca25d4d5ca9b0d0c2771b583 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Thu, 16 Feb 2023 16:52:25 +0100 Subject: [PATCH 02/33] Re-write reading tabular data --- ubermagtable/table.py | 229 +++++++++++++++++++++++- ubermagtable/util/__init__.py | 5 - ubermagtable/util/util.py | 317 ---------------------------------- 3 files changed, 221 insertions(+), 330 deletions(-) delete mode 100644 ubermagtable/util/__init__.py delete mode 100644 ubermagtable/util/util.py diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 0cd7131..da9f815 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -1,11 +1,11 @@ +import re + import ipywidgets import matplotlib.pyplot as plt import numpy as np import pandas as pd import ubermagutil.units -import ubermagtable.util as uu - class Table: """Tabular data class. @@ -47,6 +47,139 @@ class Table: """ + # The OOMMF columns are renamed according to this dictionary. + _OOMMF_DICT = { + "RungeKuttaEvolve:evolver:Total energy": "E", + "RungeKuttaEvolve:evolver:Energy calc count": "E_calc_count", + "RungeKuttaEvolve:evolver:Max dm/dt": "max_dm/dt", + "RungeKuttaEvolve:evolver:dE/dt": "dE/dt", + "RungeKuttaEvolve:evolver:Delta E": "delta_E", + "RungeKuttaEvolve::Total energy": "E", + "RungeKuttaEvolve::Energy calc count": "E_calc_count", + "RungeKuttaEvolve::Max dm/dt": "max_dm/dt", + "RungeKuttaEvolve::dE/dt": "dE/dt", + "RungeKuttaEvolve::Delta E": "delta_E", + "EulerEvolve:evolver:Total energy": "E", + "EulerEvolve:evolver:Energy calc count": "E_calc_count", + "EulerEvolve:evolver:Max dm/dt": "max_dmdt", + "EulerEvolve:evolver:dE/dt": "dE/dt", + "EulerEvolve:evolver:Delta E": "delta_E", + "TimeDriver::Iteration": "iteration", + "TimeDriver::Stage iteration": "stage_iteration", + "TimeDriver::Stage": "stage", + "TimeDriver::mx": "mx", + "TimeDriver::my": "my", + "TimeDriver::mz": "mz", + "TimeDriver::Last time step": "last_time_step", + "TimeDriver::Simulation time": "t", + "CGEvolve:evolver:Max mxHxm": "max_mxHxm", + "CGEvolve:evolver:Total energy": "E", + "CGEvolve:evolver:Delta E": "delta_E", + "CGEvolve:evolver:Bracket count": "bracket_count", + "CGEvolve:evolver:Line min count": "line_min_count", + "CGEvolve:evolver:Conjugate cycle count": "conjugate_cycle_count", + "CGEvolve:evolver:Cycle count": "cycle_count", + "CGEvolve:evolver:Cycle sub count": "cycle_sub_count", + "CGEvolve:evolver:Energy calc count": "energy_calc_count", + "CGEvolve::Max mxHxm": "max_mxHxm", + "CGEvolve::Total energy": "E", + "CGEvolve::Delta E": "delta_E", + "CGEvolve::Bracket count": "bracket_count", + "CGEvolve::Line min count": "line_min_count", + "CGEvolve::Conjugate cycle count": "conjugate_cycle_count", + "CGEvolve::Cycle count": "cycle_count", + "CGEvolve::Cycle sub count": "cycle_sub_count", + "CGEvolve::Energy calc count": "energy_calc_count", + "FixedMEL::Energy": "MEL_E", + "FixedMEL:magnetoelastic:Energy": "MEL_E", + "SpinTEvolve:evolver:Total energy": "E", + "SpinTEvolve:evolver:Energy calc count": "E_calc_count", + "SpinTEvolve:evolver:Max dm/dt": "max_dmdt", + "SpinTEvolve:evolver:dE/dt": "dE/dt", + "SpinTEvolve:evolver:Delta E": "delta_E", + "SpinTEvolve:evolver:average u": "average_u", + "SpinXferEvolve:evolver:Total energy": "E", + "SpinXferEvolve:evolver:Energy calc count": "E_calc_count", + "SpinXferEvolve:evolver:Max dm/dt": "max_dmdt", + "SpinXferEvolve:evolver:dE/dt": "dE/dt", + "SpinXferEvolve:evolver:Delta E": "delta_E", + "SpinXferEvolve:evolver:average u": "average_u", + "SpinXferEvolve:evolver:average J": "average_J", + "ThetaEvolve:evolver:Total energy": "E", + "ThetaEvolve:evolver:Energy calc count": "E_calc_count", + "ThetaEvolve:evolver:Max dm/dt": "max_dmdt", + "ThetaEvolve:evolver:dE/dt": "dE/dt", + "ThetaEvolve:evolver:Delta E": "delta_E", + "ThetaEvolve:evolver:Temperature": "T", + "ThermHeunEvolve:evolver:Total energy": "E", + "ThermHeunEvolve:evolver:Energy calc count": "E_calc_count", + "ThermHeunEvolve:evolver:Max dm/dt": "max_dmdt", + "ThermHeunEvolve:evolver:dE/dt": "dE/dt", + "ThermHeunEvolve:evolver:Delta E": "delta_E", + "ThermHeunEvolve:evolver:Temperature": "T", + "ThermSpinXferEvolve:evolver:Total energy": "E", + "ThermSpinXferEvolve:evolver:Energy calc count": "E_calc_count", + "ThermSpinXferEvolve:evolver:Max dm/dt": "max_dmdt", + "ThermSpinXferEvolve:evolver:dE/dt": "dE/dt", + "ThermSpinXferEvolve:evolver:Delta E": "delta_E", + "ThermSpinXferEvolve:evolver:Temperature": "T", + "MinDriver::Iteration": "iteration", + "MinDriver::Stage iteration": "stage_iteration", + "MinDriver::Stage": "stage", + "MinDriver::mx": "mx", + "MinDriver::my": "my", + "MinDriver::mz": "mz", + "UniformExchange::Max Spin Ang": "max_spin_ang", + "UniformExchange::Stage Max Spin Ang": "stage_max_spin_ang", + "UniformExchange::Run Max Spin Ang": "run_max_spin_ang", + "UniformExchange::Energy": "E_exchange", + "DMExchange6Ngbr::Energy": "E", + "DMI_Cnv::Energy": "E", + "DMI_T::Energy": "E", + "DMI_D2d::Energy": "E", + "Demag::Energy": "E", + "FixedZeeman::Energy": "E_zeeman", + "UZeeman::Energy": "E_zeeman", + "UZeeman::B": "B", + "UZeeman::Bx": "Bx", + "UZeeman::By": "By", + "UZeeman::Bz": "Bz", + "ScriptUZeeman::Energy": "E", + "ScriptUZeeman::B": "B", + "ScriptUZeeman::Bx": "Bx", + "ScriptUZeeman::By": "By", + "ScriptUZeeman::Bz": "Bz", + "TransformZeeman::Energy": "E", + "CubicAnisotropy::Energy": "E", + "UniaxialAnisotropy::Energy": "E", + "UniaxialAnisotropy4::Energy": "E", + "Southampton_UniaxialAnisotropy4::Energy": "E", + "Exchange6Ngbr::Energy": "E", + "Exchange6Ngbr::Max Spin Ang": "max_spin_ang", + "Exchange6Ngbr::Stage Max Spin Ang": "stage_max_spin_ang", + "Exchange6Ngbr::Run Max Spin Ang": "run_max_spin_ang", + "ExchangePtwise::Energy": "E", + "ExchangePtwise::Max Spin Ang": "max_spin_ang", + "ExchangePtwise::Stage Max Spin Ang": "stage_max_spin_ang", + "ExchangePtwise::Run Max Spin Ang": "run_max_spin_ang", + "TwoSurfaceExchange::Energy": "E", + } + + # The mumax3 columns are renamed according to this dictionary. + _MUMAX3_DICT = { + "t": "t", + "mx": "mx", + "my": "my", + "mz": "mz", + "E_total": "E", + "E_exch": "E_totalexchange", + "E_demag": "E_demag", + "E_Zeeman": "E_zeeman", + "E_anis": "E_totalanisotropy", + "dt": "dt", + "maxTorque": "maxtorque", + } + def __init__(self, data, units, x=None, attributes=None): self.data = data self.units = units @@ -99,13 +232,93 @@ def fromfile(cls, filename, /, x=None, rename=True): >>> table = ut.Table.fromfile(odtfile, x='t') """ - cols = uu.columns(filename, rename=rename) - - return cls( - data=pd.DataFrame(uu.data(filename), columns=cols), - units=uu.units(filename, rename=rename), - x=x, + quantities = cls._read_header(filename, rename=rename) + data = pd.read_csv( + filename, + sep=r"\s+", + comment="#", + header=None, + names=list(quantities.keys()), ) + return cls(data=data, units=quantities, x=x) + + @classmethod + def _read_header(cls, filename, rename=True): + """Extracts quantities for individual columns from a table file. + + This method extracts both column names and units and returns a dictionary, + where keys are column names and values are the units. + + Parameters + ---------- + filename : str + + OOMMF ``.odt`` or mumax3 ``.txt`` file. + + rename : bool + + If ``rename=True``, the column names are renamed with their shorter + versions. Defaults to ``True``. + + Returns + ------- + dict + + Dictionary of column names and units. + """ + + with open(filename) as f: + if (header_line_1 := f.readline()).startswith("# ODT"): # OOMMF odt file + cols_dict = cls._OOMMF_DICT + # COLUMN NAMES + while not (cline := f.readline()).startswith("# Columns"): + pass + columns = cline.lstrip("# Columns:").rstrip() + cols = [ + re.sub(r"Oxs_|Anv_|Southampton_|My_|YY_|UHH_|Xf_", "", col) + for col in re.findall(r"(?<={)[^}]+|[^ {}]+", columns) + ] + # UNITS + uline = f.readline() + assert uline.startswith("# Units:") + units = uline.split()[2:] # [2:] to remove ["#", "Units:"] + units = [re.sub(r"[{}]", "", unit) for unit in units] + else: # mumax3 txt file + cols_dict = cls._MUMAX3_DICT + header_line_1 = header_line_1[len("# ") :].rstrip().split("\t") + # COLUMN NAMES + cols = [elem.split()[0] for elem in header_line_1] + # UNITS + units = [re.sub(r"[()]", "", elem.split()[1]) for elem in header_line_1] + + if rename: + cols = [cls._rename_column(col, cols_dict) for col in cols] + print(len(cols)) + print(len(set(cols))) + + return dict(zip(cols, units)) + + @staticmethod + def _rename_column(name, cols_dict): + """Rename columns to get shorter names without spaces. + + Renaming is based on _OOMMF_DICT or _MUMAX3_DICT. + """ + if name in cols_dict: + return cols_dict[name] + + for key in cols_dict: + if len(key.split("::")) == 2: + start, end = key.split("::") + name_split = name.split(":") + if name_split[0] == start and name_split[-1] == end: + term_name = name_split[1] + type_name = cols_dict[key] + # required for E_exchange in old and new OOMMF odt files + if not type_name.endswith(term_name): + type_name = f"{type_name}_{term_name}" + return type_name + return name # name cannot be found in dictionary @property def data(self): diff --git a/ubermagtable/util/__init__.py b/ubermagtable/util/__init__.py deleted file mode 100644 index 9076e8f..0000000 --- a/ubermagtable/util/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -"""Utility tools""" - -from .util import columns as columns -from .util import data as data -from .util import units as units diff --git a/ubermagtable/util/util.py b/ubermagtable/util/util.py deleted file mode 100644 index 002ef41..0000000 --- a/ubermagtable/util/util.py +++ /dev/null @@ -1,317 +0,0 @@ -import re - -# The OOMMF columns are renamed according to this dictionary. -oommf_dict = { - "RungeKuttaEvolve:evolver:Total energy": "E", - "RungeKuttaEvolve:evolver:Energy calc count": "E_calc_count", - "RungeKuttaEvolve:evolver:Max dm/dt": "max_dm/dt", - "RungeKuttaEvolve:evolver:dE/dt": "dE/dt", - "RungeKuttaEvolve:evolver:Delta E": "delta_E", - "RungeKuttaEvolve::Total energy": "E", - "RungeKuttaEvolve::Energy calc count": "E_calc_count", - "RungeKuttaEvolve::Max dm/dt": "max_dm/dt", - "RungeKuttaEvolve::dE/dt": "dE/dt", - "RungeKuttaEvolve::Delta E": "delta_E", - "EulerEvolve:evolver:Total energy": "E", - "EulerEvolve:evolver:Energy calc count": "E_calc_count", - "EulerEvolve:evolver:Max dm/dt": "max_dmdt", - "EulerEvolve:evolver:dE/dt": "dE/dt", - "EulerEvolve:evolver:Delta E": "delta_E", - "TimeDriver::Iteration": "iteration", - "TimeDriver::Stage iteration": "stage_iteration", - "TimeDriver::Stage": "stage", - "TimeDriver::mx": "mx", - "TimeDriver::my": "my", - "TimeDriver::mz": "mz", - "TimeDriver::Last time step": "last_time_step", - "TimeDriver::Simulation time": "t", - "CGEvolve:evolver:Max mxHxm": "max_mxHxm", - "CGEvolve:evolver:Total energy": "E", - "CGEvolve:evolver:Delta E": "delta_E", - "CGEvolve:evolver:Bracket count": "bracket_count", - "CGEvolve:evolver:Line min count": "line_min_count", - "CGEvolve:evolver:Conjugate cycle count": "conjugate_cycle_count", - "CGEvolve:evolver:Cycle count": "cycle_count", - "CGEvolve:evolver:Cycle sub count": "cycle_sub_count", - "CGEvolve:evolver:Energy calc count": "energy_calc_count", - "CGEvolve::Max mxHxm": "max_mxHxm", - "CGEvolve::Total energy": "E", - "CGEvolve::Delta E": "delta_E", - "CGEvolve::Bracket count": "bracket_count", - "CGEvolve::Line min count": "line_min_count", - "CGEvolve::Conjugate cycle count": "conjugate_cycle_count", - "CGEvolve::Cycle count": "cycle_count", - "CGEvolve::Cycle sub count": "cycle_sub_count", - "CGEvolve::Energy calc count": "energy_calc_count", - "FixedMEL::Energy": "MEL_E", - "FixedMEL:magnetoelastic:Energy": "MEL_E", - "SpinTEvolve:evolver:Total energy": "E", - "SpinTEvolve:evolver:Energy calc count": "E_calc_count", - "SpinTEvolve:evolver:Max dm/dt": "max_dmdt", - "SpinTEvolve:evolver:dE/dt": "dE/dt", - "SpinTEvolve:evolver:Delta E": "delta_E", - "SpinTEvolve:evolver:average u": "average_u", - "SpinXferEvolve:evolver:Total energy": "E", - "SpinXferEvolve:evolver:Energy calc count": "E_calc_count", - "SpinXferEvolve:evolver:Max dm/dt": "max_dmdt", - "SpinXferEvolve:evolver:dE/dt": "dE/dt", - "SpinXferEvolve:evolver:Delta E": "delta_E", - "SpinXferEvolve:evolver:average u": "average_u", - "SpinXferEvolve:evolver:average J": "average_J", - "ThetaEvolve:evolver:Total energy": "E", - "ThetaEvolve:evolver:Energy calc count": "E_calc_count", - "ThetaEvolve:evolver:Max dm/dt": "max_dmdt", - "ThetaEvolve:evolver:dE/dt": "dE/dt", - "ThetaEvolve:evolver:Delta E": "delta_E", - "ThetaEvolve:evolver:Temperature": "T", - "ThermHeunEvolve:evolver:Total energy": "E", - "ThermHeunEvolve:evolver:Energy calc count": "E_calc_count", - "ThermHeunEvolve:evolver:Max dm/dt": "max_dmdt", - "ThermHeunEvolve:evolver:dE/dt": "dE/dt", - "ThermHeunEvolve:evolver:Delta E": "delta_E", - "ThermHeunEvolve:evolver:Temperature": "T", - "ThermSpinXferEvolve:evolver:Total energy": "E", - "ThermSpinXferEvolve:evolver:Energy calc count": "E_calc_count", - "ThermSpinXferEvolve:evolver:Max dm/dt": "max_dmdt", - "ThermSpinXferEvolve:evolver:dE/dt": "dE/dt", - "ThermSpinXferEvolve:evolver:Delta E": "delta_E", - "ThermSpinXferEvolve:evolver:Temperature": "T", - "MinDriver::Iteration": "iteration", - "MinDriver::Stage iteration": "stage_iteration", - "MinDriver::Stage": "stage", - "MinDriver::mx": "mx", - "MinDriver::my": "my", - "MinDriver::mz": "mz", - "UniformExchange::Max Spin Ang": "max_spin_ang", - "UniformExchange::Stage Max Spin Ang": "stage_max_spin_ang", - "UniformExchange::Run Max Spin Ang": "run_max_spin_ang", - "UniformExchange::Energy": "E_exchange", - "DMExchange6Ngbr::Energy": "E", - "DMI_Cnv::Energy": "E", - "DMI_T::Energy": "E", - "DMI_D2d::Energy": "E", - "Demag::Energy": "E", - "FixedZeeman::Energy": "E_zeeman", - "UZeeman::Energy": "E_zeeman", - "UZeeman::B": "B", - "UZeeman::Bx": "Bx", - "UZeeman::By": "By", - "UZeeman::Bz": "Bz", - "ScriptUZeeman::Energy": "E", - "ScriptUZeeman::B": "B", - "ScriptUZeeman::Bx": "Bx", - "ScriptUZeeman::By": "By", - "ScriptUZeeman::Bz": "Bz", - "TransformZeeman::Energy": "E", - "CubicAnisotropy::Energy": "E", - "UniaxialAnisotropy::Energy": "E", - "UniaxialAnisotropy4::Energy": "E", - "Southampton_UniaxialAnisotropy4::Energy": "E", - "Exchange6Ngbr::Energy": "E", - "Exchange6Ngbr::Max Spin Ang": "max_spin_ang", - "Exchange6Ngbr::Stage Max Spin Ang": "stage_max_spin_ang", - "Exchange6Ngbr::Run Max Spin Ang": "run_max_spin_ang", - "ExchangePtwise::Energy": "E", - "ExchangePtwise::Max Spin Ang": "max_spin_ang", - "ExchangePtwise::Stage Max Spin Ang": "stage_max_spin_ang", - "ExchangePtwise::Run Max Spin Ang": "run_max_spin_ang", - "TwoSurfaceExchange::Energy": "E", -} - -# The mumax3 columns are renamed according to this dictionary. -mumax3_dict = { - "t": "t", - "mx": "mx", - "my": "my", - "mz": "mz", - "E_total": "E", - "E_exch": "E_totalexchange", - "E_demag": "E_demag", - "E_Zeeman": "E_zeeman", - "E_anis": "E_totalanisotropy", - "dt": "dt", - "maxTorque": "maxtorque", -} - - -def rename_column(name, cols_dict): - if name in cols_dict: - return cols_dict[name] - - for key in cols_dict: - if len(key.split("::")) == 2: - start, end = key.split("::") - name_split = name.split(":") - if name_split[0] == start and name_split[-1] == end: - term_name = name.split(":")[1] - type_name = cols_dict[key] - # required for E_exchange in old and new OOMMF odt files - if not type_name.endswith(term_name): - type_name = f"{type_name}_{term_name}" - return type_name - else: - return name # name cannot be found in dictionary - - -def columns(filename, rename=True): - """Extracts column names from a table file. - - Parameters - ---------- - filename : str - - OOMMF ``.odt`` or mumax3 ``.txt`` file. - - rename : bool - - If ``rename=True``, the column names are renamed with their shorter - versions. Defaults to ``True``. - - Returns - ------- - list - - List of column names. - - Examples - -------- - 1. Extracting the column names from an OOMMF `.odt` file. - - >>> import os - >>> import ubermagtable.util as uu - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'oommf-new-file1.odt') - >>> uu.columns(odtfile) - [...] - - 2. Extracting the names of columns from a mumax3 `.txt` file. - - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'mumax3-file1.txt') - >>> uu.columns(odtfile) - [...] - - """ - with open(filename) as f: - lines = f.readlines() - - if lines[0].startswith("# ODT"): # OOMMF odt file - cline = list(filter(lambda line: line.startswith("# Columns:"), lines))[0] - cline = re.split(r"Oxs_|Anv_|Southampton_|My_|YY_|UHH_|Xf_", cline)[1:] - cline = list(map(lambda col: re.sub(r"[{}]", "", col), cline)) - cols = list(map(lambda s: s.strip(), cline)) - cols_dict = oommf_dict - else: # mumax3 txt file - cline = lines[0][2:].rstrip().split("\t") - cols = list(map(lambda s: s.split(" ")[0], cline)) - cols_dict = mumax3_dict - - if rename: - return [rename_column(col, cols_dict) for col in cols] - else: - return cols - - -def units(filename, rename=True): - """Extracts units for individual columns from a table file. - - This method extracts both column names and units and returns a dictionary, - where keys are column names and values are the units. - - Parameters - ---------- - filename : str - - OOMMF ``.odt`` or mumax3 ``.txt`` file. - - rename : bool - - If ``rename=True``, the column names are renamed with their shorter - versions. Defaults to ``True``. - - Returns - ------- - dict - - Dictionary of column names and units. - - Examples - -------- - 1. Extracting units for individual columns from an OOMMF ``.odt`` file. - - >>> import os - >>> import ubermagtable.util as uu - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'oommf-new-file2.odt') - >>> uu.units(odtfile) - {...} - - 2. Extracting units for individual columns from a mumax3 ``.txt`` file. - - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'mumax3-file1.txt') - >>> uu.units(odtfile) - {...} - - """ - with open(filename) as f: - lines = f.readlines() - - if lines[0].startswith("# ODT"): # OOMMF odt file - uline = list(filter(lambda line: line.startswith("# Units:"), lines))[0] - units = uline.split()[2:] - units = list(map(lambda s: re.sub(r"[{}]", "", s), units)) - else: # mumax3 txt file - uline = lines[0][2:].rstrip().split("\t") - units = list(map(lambda s: s.split()[1], uline)) - units = list(map(lambda s: re.sub(r"[()]", "", s), units)) - - return dict(zip(columns(filename, rename=rename), units)) - - -def data(filename): - """Extracts numerical data from a table file. - - Parameters - ---------- - filename : str - - OOMMF ``.odt`` or mumax3 ``.txt`` file. - - Returns - ------- - list - - List of numerical data. - - Examples - -------- - 1. Reading data from an OOMMF ``.odt`` file. - - >>> import os - >>> import ubermagtable.util as uu - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'oommf-new-file3.odt') - >>> uu.data(odtfile) - [...] - - 2. Reading data from a mumax3 ``.txt`` file. - - >>> odtfile = os.path.join(os.path.dirname(__file__), '..', - ... 'tests', 'test_sample', 'mumax3-file1.txt') - >>> uu.data(odtfile) - [...] - - """ - with open(filename) as f: - lines = f.readlines() - - values = [] - for line in lines: - if not line.startswith("#"): - values.append(list(map(float, line.split()))) - - return values From 2e2edebd1fea1ba5c4d26b87b09bcb323ea1424c Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Thu, 16 Feb 2023 16:54:16 +0100 Subject: [PATCH 03/33] Explain problem in test --- ubermagtable/tests/test_table.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index 199d7ad..215f7d5 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -178,6 +178,11 @@ def test_oommf_mel(self): assert len(columns) == 16 def test_oommf_issue1(self): + """The odt file contains columns ``Oxs_Exchange6Ngbr:...`` and + ``My_Exchange6Ngbr:...``. During processing we remove the ``Oxs_`` or ``My_`` + prefix and subsequently loose the "duplicated" columns in the pandas dataframe. + + """ table = ut.Table.fromfile(self.odtfiles[-1]) columns = table.data.columns.to_list() assert len(columns) == 30 From a565db709e0a1878a20f6975401fd91ff98791bf Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Fri, 17 Feb 2023 12:22:17 +0100 Subject: [PATCH 04/33] Detect and remove duplication in the data. --- ubermagtable/table.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index da9f815..2415a19 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -186,6 +186,16 @@ def __init__(self, data, units, x=None, attributes=None): self.x = x self.attributes = attributes if attributes is not None else {} self.attributes.setdefault("fourierspace", False) + # Detect duplicated lines as a last step to make use of the checks when + # assigning 'x' as independent variable. + self._duplicated_lines = any(self.data.duplicated(subset=self.x, keep="last")) + if self._duplicated_lines: + self.data.drop_duplicates( + subset=self.x, + keep="last", + inplace=True, + ignore_index=True, # reset the index to 0, 1, ..., n-1 + ) @classmethod def fromfile(cls, filename, /, x=None, rename=True): @@ -442,6 +452,11 @@ def xmax(self): """ return self.data[self.x].iloc[-1].item() + @property + def deduplicated(self): + """Indicate if the table on disk contains duplicated steps.""" + return self._duplicated_lines + def apply(self, func, columns=None, args=(), **kwargs): r"""Apply function. From fcd5dc798d1c9bd9ea69b09087c742008964564b Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Fri, 17 Feb 2023 12:29:04 +0100 Subject: [PATCH 05/33] Remove left-over print --- ubermagtable/table.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 2415a19..8d86db4 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -303,8 +303,6 @@ def _read_header(cls, filename, rename=True): if rename: cols = [cls._rename_column(col, cols_dict) for col in cols] - print(len(cols)) - print(len(set(cols))) return dict(zip(cols, units)) From 32c12c2fc8ced36e6a2675e77c5e0cfa9829fd15 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 20 Feb 2023 12:05:36 +0100 Subject: [PATCH 06/33] Update _OOMMF_DICT (add prefix) --- ubermagtable/table.py | 232 +++++++++++++++++++++--------------------- 1 file changed, 114 insertions(+), 118 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 8d86db4..fe37df7 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -49,120 +49,119 @@ class Table: # The OOMMF columns are renamed according to this dictionary. _OOMMF_DICT = { - "RungeKuttaEvolve:evolver:Total energy": "E", - "RungeKuttaEvolve:evolver:Energy calc count": "E_calc_count", - "RungeKuttaEvolve:evolver:Max dm/dt": "max_dm/dt", - "RungeKuttaEvolve:evolver:dE/dt": "dE/dt", - "RungeKuttaEvolve:evolver:Delta E": "delta_E", - "RungeKuttaEvolve::Total energy": "E", - "RungeKuttaEvolve::Energy calc count": "E_calc_count", - "RungeKuttaEvolve::Max dm/dt": "max_dm/dt", - "RungeKuttaEvolve::dE/dt": "dE/dt", - "RungeKuttaEvolve::Delta E": "delta_E", - "EulerEvolve:evolver:Total energy": "E", - "EulerEvolve:evolver:Energy calc count": "E_calc_count", - "EulerEvolve:evolver:Max dm/dt": "max_dmdt", - "EulerEvolve:evolver:dE/dt": "dE/dt", - "EulerEvolve:evolver:Delta E": "delta_E", - "TimeDriver::Iteration": "iteration", - "TimeDriver::Stage iteration": "stage_iteration", - "TimeDriver::Stage": "stage", - "TimeDriver::mx": "mx", - "TimeDriver::my": "my", - "TimeDriver::mz": "mz", - "TimeDriver::Last time step": "last_time_step", - "TimeDriver::Simulation time": "t", - "CGEvolve:evolver:Max mxHxm": "max_mxHxm", - "CGEvolve:evolver:Total energy": "E", - "CGEvolve:evolver:Delta E": "delta_E", - "CGEvolve:evolver:Bracket count": "bracket_count", - "CGEvolve:evolver:Line min count": "line_min_count", - "CGEvolve:evolver:Conjugate cycle count": "conjugate_cycle_count", - "CGEvolve:evolver:Cycle count": "cycle_count", - "CGEvolve:evolver:Cycle sub count": "cycle_sub_count", - "CGEvolve:evolver:Energy calc count": "energy_calc_count", - "CGEvolve::Max mxHxm": "max_mxHxm", - "CGEvolve::Total energy": "E", - "CGEvolve::Delta E": "delta_E", - "CGEvolve::Bracket count": "bracket_count", - "CGEvolve::Line min count": "line_min_count", - "CGEvolve::Conjugate cycle count": "conjugate_cycle_count", - "CGEvolve::Cycle count": "cycle_count", - "CGEvolve::Cycle sub count": "cycle_sub_count", - "CGEvolve::Energy calc count": "energy_calc_count", - "FixedMEL::Energy": "MEL_E", - "FixedMEL:magnetoelastic:Energy": "MEL_E", - "SpinTEvolve:evolver:Total energy": "E", - "SpinTEvolve:evolver:Energy calc count": "E_calc_count", - "SpinTEvolve:evolver:Max dm/dt": "max_dmdt", - "SpinTEvolve:evolver:dE/dt": "dE/dt", - "SpinTEvolve:evolver:Delta E": "delta_E", - "SpinTEvolve:evolver:average u": "average_u", - "SpinXferEvolve:evolver:Total energy": "E", - "SpinXferEvolve:evolver:Energy calc count": "E_calc_count", - "SpinXferEvolve:evolver:Max dm/dt": "max_dmdt", - "SpinXferEvolve:evolver:dE/dt": "dE/dt", - "SpinXferEvolve:evolver:Delta E": "delta_E", - "SpinXferEvolve:evolver:average u": "average_u", - "SpinXferEvolve:evolver:average J": "average_J", - "ThetaEvolve:evolver:Total energy": "E", - "ThetaEvolve:evolver:Energy calc count": "E_calc_count", - "ThetaEvolve:evolver:Max dm/dt": "max_dmdt", - "ThetaEvolve:evolver:dE/dt": "dE/dt", - "ThetaEvolve:evolver:Delta E": "delta_E", - "ThetaEvolve:evolver:Temperature": "T", - "ThermHeunEvolve:evolver:Total energy": "E", - "ThermHeunEvolve:evolver:Energy calc count": "E_calc_count", - "ThermHeunEvolve:evolver:Max dm/dt": "max_dmdt", - "ThermHeunEvolve:evolver:dE/dt": "dE/dt", - "ThermHeunEvolve:evolver:Delta E": "delta_E", - "ThermHeunEvolve:evolver:Temperature": "T", - "ThermSpinXferEvolve:evolver:Total energy": "E", - "ThermSpinXferEvolve:evolver:Energy calc count": "E_calc_count", - "ThermSpinXferEvolve:evolver:Max dm/dt": "max_dmdt", - "ThermSpinXferEvolve:evolver:dE/dt": "dE/dt", - "ThermSpinXferEvolve:evolver:Delta E": "delta_E", - "ThermSpinXferEvolve:evolver:Temperature": "T", - "MinDriver::Iteration": "iteration", - "MinDriver::Stage iteration": "stage_iteration", - "MinDriver::Stage": "stage", - "MinDriver::mx": "mx", - "MinDriver::my": "my", - "MinDriver::mz": "mz", - "UniformExchange::Max Spin Ang": "max_spin_ang", - "UniformExchange::Stage Max Spin Ang": "stage_max_spin_ang", - "UniformExchange::Run Max Spin Ang": "run_max_spin_ang", - "UniformExchange::Energy": "E_exchange", - "DMExchange6Ngbr::Energy": "E", - "DMI_Cnv::Energy": "E", - "DMI_T::Energy": "E", - "DMI_D2d::Energy": "E", - "Demag::Energy": "E", - "FixedZeeman::Energy": "E_zeeman", - "UZeeman::Energy": "E_zeeman", - "UZeeman::B": "B", - "UZeeman::Bx": "Bx", - "UZeeman::By": "By", - "UZeeman::Bz": "Bz", - "ScriptUZeeman::Energy": "E", - "ScriptUZeeman::B": "B", - "ScriptUZeeman::Bx": "Bx", - "ScriptUZeeman::By": "By", - "ScriptUZeeman::Bz": "Bz", - "TransformZeeman::Energy": "E", - "CubicAnisotropy::Energy": "E", - "UniaxialAnisotropy::Energy": "E", - "UniaxialAnisotropy4::Energy": "E", - "Southampton_UniaxialAnisotropy4::Energy": "E", - "Exchange6Ngbr::Energy": "E", - "Exchange6Ngbr::Max Spin Ang": "max_spin_ang", - "Exchange6Ngbr::Stage Max Spin Ang": "stage_max_spin_ang", - "Exchange6Ngbr::Run Max Spin Ang": "run_max_spin_ang", - "ExchangePtwise::Energy": "E", - "ExchangePtwise::Max Spin Ang": "max_spin_ang", - "ExchangePtwise::Stage Max Spin Ang": "stage_max_spin_ang", - "ExchangePtwise::Run Max Spin Ang": "run_max_spin_ang", - "TwoSurfaceExchange::Energy": "E", + "Oxs_RungeKuttaEvolve:evolver:Total energy": "E", + "Oxs_RungeKuttaEvolve:evolver:Energy calc count": "E_calc_count", + "Oxs_RungeKuttaEvolve:evolver:Max dm/dt": "max_dm/dt", + "Oxs_RungeKuttaEvolve:evolver:dE/dt": "dE/dt", + "Oxs_RungeKuttaEvolve:evolver:Delta E": "delta_E", + "Oxs_RungeKuttaEvolve::Total energy": "E", + "Oxs_RungeKuttaEvolve::Energy calc count": "E_calc_count", + "Oxs_RungeKuttaEvolve::Max dm/dt": "max_dm/dt", + "Oxs_RungeKuttaEvolve::dE/dt": "dE/dt", + "Oxs_RungeKuttaEvolve::Delta E": "delta_E", + "Oxs_EulerEvolve:evolver:Total energy": "E", + "Oxs_EulerEvolve:evolver:Energy calc count": "E_calc_count", + "Oxs_EulerEvolve:evolver:Max dm/dt": "max_dmdt", + "Oxs_EulerEvolve:evolver:dE/dt": "dE/dt", + "Oxs_EulerEvolve:evolver:Delta E": "delta_E", + "Oxs_TimeDriver::Iteration": "iteration", + "Oxs_TimeDriver::Stage iteration": "stage_iteration", + "Oxs_TimeDriver::Stage": "stage", + "Oxs_TimeDriver::mx": "mx", + "Oxs_TimeDriver::my": "my", + "Oxs_TimeDriver::mz": "mz", + "Oxs_TimeDriver::Last time step": "last_time_step", + "Oxs_TimeDriver::Simulation time": "t", + "Oxs_CGEvolve:evolver:Max mxHxm": "max_mxHxm", + "Oxs_CGEvolve:evolver:Total energy": "E", + "Oxs_CGEvolve:evolver:Delta E": "delta_E", + "Oxs_CGEvolve:evolver:Bracket count": "bracket_count", + "Oxs_CGEvolve:evolver:Line min count": "line_min_count", + "Oxs_CGEvolve:evolver:Conjugate cycle count": "conjugate_cycle_count", + "Oxs_CGEvolve:evolver:Cycle count": "cycle_count", + "Oxs_CGEvolve:evolver:Cycle sub count": "cycle_sub_count", + "Oxs_CGEvolve:evolver:Energy calc count": "energy_calc_count", + "Oxs_CGEvolve::Max mxHxm": "max_mxHxm", + "Oxs_CGEvolve::Total energy": "E", + "Oxs_CGEvolve::Delta E": "delta_E", + "Oxs_CGEvolve::Bracket count": "bracket_count", + "Oxs_CGEvolve::Line min count": "line_min_count", + "Oxs_CGEvolve::Conjugate cycle count": "conjugate_cycle_count", + "Oxs_CGEvolve::Cycle count": "cycle_count", + "Oxs_CGEvolve::Cycle sub count": "cycle_sub_count", + "Oxs_CGEvolve::Energy calc count": "energy_calc_count", + "YY_FixedMEL::Energy": "MEL_E", + "YY_FixedMEL:magnetoelastic:Energy": "MEL_E", # NO SAMPLE, TODO DELETE? + "Anv_SpinTEvolve:evolver:Total energy": "E", + "Anv_SpinTEvolve:evolver:Energy calc count": "E_calc_count", + "Anv_SpinTEvolve:evolver:Max dm/dt": "max_dmdt", + "Anv_SpinTEvolve:evolver:dE/dt": "dE/dt", + "Anv_SpinTEvolve:evolver:Delta E": "delta_E", + "Anv_SpinTEvolve:evolver:average u": "average_u", + "Oxs_SpinXferEvolve:evolver:Total energy": "E", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:Delta E": "delta_E", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:average u": "average_u", # NO SAMPLE + "Oxs_SpinXferEvolve:evolver:average J": "average_J", # NO SAMPLE + "UHH_ThetaEvolve:evolver:Total energy": "E", # NO SAMPLE + "UHH_ThetaEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE + "UHH_ThetaEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE + "UHH_ThetaEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE + "UHH_ThetaEvolve:evolver:Delta E": "delta_E", # NO SAMPLE + "UHH_ThetaEvolve:evolver:Temperature": "T", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:Total energy": "E", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:Delta E": "delta_E", # NO SAMPLE + "Xf_ThermHeunEvolve:evolver:Temperature": "T", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:Total energy": "E", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:Delta E": "delta_E", # NO SAMPLE + "Xf_ThermSpinXferEvolve:evolver:Temperature": "T", # NO SAMPLE + "Oxs_MinDriver::Iteration": "iteration", + "Oxs_MinDriver::Stage iteration": "stage_iteration", + "Oxs_MinDriver::Stage": "stage", + "Oxs_MinDriver::mx": "mx", + "Oxs_MinDriver::my": "my", + "Oxs_MinDriver::mz": "mz", + "Oxs_UniformExchange::Max Spin Ang": "max_spin_ang", + "Oxs_UniformExchange::Stage Max Spin Ang": "stage_max_spin_ang", + "Oxs_UniformExchange::Run Max Spin Ang": "run_max_spin_ang", + "Oxs_UniformExchange::Energy": "E_exchange", + "Oxs_DMExchange6Ngbr::Energy": "E", # NO SAMPLE + "Oxs_DMI_Cnv::Energy": "E", # TODO: PREFIX + "Oxs_DMI_T::Energy": "E", # NO SAMPLE, TODO: PREFIX + "Oxs_DMI_D2d::Energy": "E", # NO SAMPLE, TODO: PREFIX + "Oxs_Demag::Energy": "E", + "Oxs_FixedZeeman::Energy": "E_zeeman", + "Oxs_UZeeman::Energy": "E_zeeman", + "Oxs_UZeeman::B": "B", + "Oxs_UZeeman::Bx": "Bx", + "Oxs_UZeeman::By": "By", + "Oxs_UZeeman::Bz": "Bz", + "Oxs_ScriptUZeeman::Energy": "E", # NO SAMPLE + "Oxs_ScriptUZeeman::B": "B", # NO SAMPLE + "Oxs_ScriptUZeeman::Bx": "Bx", # NO SAMPLE + "Oxs_ScriptUZeeman::By": "By", # NO SAMPLE + "Oxs_ScriptUZeeman::Bz": "Bz", # NO SAMPLE + "Oxs_TransformZeeman::Energy": "E", # NO SAMPLE + "Oxs_CubicAnisotropy::Energy": "E", + "Oxs_UniaxialAnisotropy::Energy": "E", + "Southampton_UniaxialAnisotropy4::Energy": "E", # NO SAMPLE + "Oxs_Exchange6Ngbr::Energy": "E", + "Oxs_Exchange6Ngbr::Max Spin Ang": "max_spin_ang", + "Oxs_Exchange6Ngbr::Stage Max Spin Ang": "stage_max_spin_ang", + "Oxs_Exchange6Ngbr::Run Max Spin Ang": "run_max_spin_ang", + "Oxs_ExchangePtwise::Energy": "E", # NO SAMPLE + "Oxs_ExchangePtwise::Max Spin Ang": "max_spin_ang", # NO SAMPLE + "Oxs_ExchangePtwise::Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE + "Oxs_ExchangePtwise::Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE + "Oxs_TwoSurfaceExchange::Energy": "E", # NO SAMPLE } # The mumax3 columns are renamed according to this dictionary. @@ -284,10 +283,7 @@ def _read_header(cls, filename, rename=True): while not (cline := f.readline()).startswith("# Columns"): pass columns = cline.lstrip("# Columns:").rstrip() - cols = [ - re.sub(r"Oxs_|Anv_|Southampton_|My_|YY_|UHH_|Xf_", "", col) - for col in re.findall(r"(?<={)[^}]+|[^ {}]+", columns) - ] + cols = re.findall(r"(?<={)[^}]+|[^ {}]+", columns) # UNITS uline = f.readline() assert uline.startswith("# Units:") From 9864dbb3c020a8a40d0ba04e37d4ab8162185811 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 20 Feb 2023 12:45:54 +0100 Subject: [PATCH 07/33] Re-write renaming functionality --- ubermagtable/table.py | 270 ++++++++++++++++++++++-------------------- 1 file changed, 142 insertions(+), 128 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index fe37df7..bf1480e 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -49,119 +49,134 @@ class Table: # The OOMMF columns are renamed according to this dictionary. _OOMMF_DICT = { - "Oxs_RungeKuttaEvolve:evolver:Total energy": "E", - "Oxs_RungeKuttaEvolve:evolver:Energy calc count": "E_calc_count", - "Oxs_RungeKuttaEvolve:evolver:Max dm/dt": "max_dm/dt", - "Oxs_RungeKuttaEvolve:evolver:dE/dt": "dE/dt", - "Oxs_RungeKuttaEvolve:evolver:Delta E": "delta_E", - "Oxs_RungeKuttaEvolve::Total energy": "E", - "Oxs_RungeKuttaEvolve::Energy calc count": "E_calc_count", - "Oxs_RungeKuttaEvolve::Max dm/dt": "max_dm/dt", - "Oxs_RungeKuttaEvolve::dE/dt": "dE/dt", - "Oxs_RungeKuttaEvolve::Delta E": "delta_E", - "Oxs_EulerEvolve:evolver:Total energy": "E", - "Oxs_EulerEvolve:evolver:Energy calc count": "E_calc_count", - "Oxs_EulerEvolve:evolver:Max dm/dt": "max_dmdt", - "Oxs_EulerEvolve:evolver:dE/dt": "dE/dt", - "Oxs_EulerEvolve:evolver:Delta E": "delta_E", - "Oxs_TimeDriver::Iteration": "iteration", - "Oxs_TimeDriver::Stage iteration": "stage_iteration", - "Oxs_TimeDriver::Stage": "stage", - "Oxs_TimeDriver::mx": "mx", - "Oxs_TimeDriver::my": "my", - "Oxs_TimeDriver::mz": "mz", - "Oxs_TimeDriver::Last time step": "last_time_step", - "Oxs_TimeDriver::Simulation time": "t", - "Oxs_CGEvolve:evolver:Max mxHxm": "max_mxHxm", - "Oxs_CGEvolve:evolver:Total energy": "E", - "Oxs_CGEvolve:evolver:Delta E": "delta_E", - "Oxs_CGEvolve:evolver:Bracket count": "bracket_count", - "Oxs_CGEvolve:evolver:Line min count": "line_min_count", - "Oxs_CGEvolve:evolver:Conjugate cycle count": "conjugate_cycle_count", - "Oxs_CGEvolve:evolver:Cycle count": "cycle_count", - "Oxs_CGEvolve:evolver:Cycle sub count": "cycle_sub_count", - "Oxs_CGEvolve:evolver:Energy calc count": "energy_calc_count", - "Oxs_CGEvolve::Max mxHxm": "max_mxHxm", - "Oxs_CGEvolve::Total energy": "E", - "Oxs_CGEvolve::Delta E": "delta_E", - "Oxs_CGEvolve::Bracket count": "bracket_count", - "Oxs_CGEvolve::Line min count": "line_min_count", - "Oxs_CGEvolve::Conjugate cycle count": "conjugate_cycle_count", - "Oxs_CGEvolve::Cycle count": "cycle_count", - "Oxs_CGEvolve::Cycle sub count": "cycle_sub_count", - "Oxs_CGEvolve::Energy calc count": "energy_calc_count", - "YY_FixedMEL::Energy": "MEL_E", - "YY_FixedMEL:magnetoelastic:Energy": "MEL_E", # NO SAMPLE, TODO DELETE? - "Anv_SpinTEvolve:evolver:Total energy": "E", - "Anv_SpinTEvolve:evolver:Energy calc count": "E_calc_count", - "Anv_SpinTEvolve:evolver:Max dm/dt": "max_dmdt", - "Anv_SpinTEvolve:evolver:dE/dt": "dE/dt", - "Anv_SpinTEvolve:evolver:Delta E": "delta_E", - "Anv_SpinTEvolve:evolver:average u": "average_u", - "Oxs_SpinXferEvolve:evolver:Total energy": "E", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:Delta E": "delta_E", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:average u": "average_u", # NO SAMPLE - "Oxs_SpinXferEvolve:evolver:average J": "average_J", # NO SAMPLE - "UHH_ThetaEvolve:evolver:Total energy": "E", # NO SAMPLE - "UHH_ThetaEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE - "UHH_ThetaEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE - "UHH_ThetaEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE - "UHH_ThetaEvolve:evolver:Delta E": "delta_E", # NO SAMPLE - "UHH_ThetaEvolve:evolver:Temperature": "T", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:Total energy": "E", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:Delta E": "delta_E", # NO SAMPLE - "Xf_ThermHeunEvolve:evolver:Temperature": "T", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:Total energy": "E", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:Energy calc count": "E_calc_count", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:Max dm/dt": "max_dmdt", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:dE/dt": "dE/dt", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:Delta E": "delta_E", # NO SAMPLE - "Xf_ThermSpinXferEvolve:evolver:Temperature": "T", # NO SAMPLE - "Oxs_MinDriver::Iteration": "iteration", - "Oxs_MinDriver::Stage iteration": "stage_iteration", - "Oxs_MinDriver::Stage": "stage", - "Oxs_MinDriver::mx": "mx", - "Oxs_MinDriver::my": "my", - "Oxs_MinDriver::mz": "mz", - "Oxs_UniformExchange::Max Spin Ang": "max_spin_ang", - "Oxs_UniformExchange::Stage Max Spin Ang": "stage_max_spin_ang", - "Oxs_UniformExchange::Run Max Spin Ang": "run_max_spin_ang", - "Oxs_UniformExchange::Energy": "E_exchange", - "Oxs_DMExchange6Ngbr::Energy": "E", # NO SAMPLE - "Oxs_DMI_Cnv::Energy": "E", # TODO: PREFIX - "Oxs_DMI_T::Energy": "E", # NO SAMPLE, TODO: PREFIX - "Oxs_DMI_D2d::Energy": "E", # NO SAMPLE, TODO: PREFIX - "Oxs_Demag::Energy": "E", - "Oxs_FixedZeeman::Energy": "E_zeeman", - "Oxs_UZeeman::Energy": "E_zeeman", - "Oxs_UZeeman::B": "B", - "Oxs_UZeeman::Bx": "Bx", - "Oxs_UZeeman::By": "By", - "Oxs_UZeeman::Bz": "Bz", - "Oxs_ScriptUZeeman::Energy": "E", # NO SAMPLE - "Oxs_ScriptUZeeman::B": "B", # NO SAMPLE - "Oxs_ScriptUZeeman::Bx": "Bx", # NO SAMPLE - "Oxs_ScriptUZeeman::By": "By", # NO SAMPLE - "Oxs_ScriptUZeeman::Bz": "Bz", # NO SAMPLE - "Oxs_TransformZeeman::Energy": "E", # NO SAMPLE - "Oxs_CubicAnisotropy::Energy": "E", - "Oxs_UniaxialAnisotropy::Energy": "E", - "Southampton_UniaxialAnisotropy4::Energy": "E", # NO SAMPLE - "Oxs_Exchange6Ngbr::Energy": "E", - "Oxs_Exchange6Ngbr::Max Spin Ang": "max_spin_ang", - "Oxs_Exchange6Ngbr::Stage Max Spin Ang": "stage_max_spin_ang", - "Oxs_Exchange6Ngbr::Run Max Spin Ang": "run_max_spin_ang", - "Oxs_ExchangePtwise::Energy": "E", # NO SAMPLE - "Oxs_ExchangePtwise::Max Spin Ang": "max_spin_ang", # NO SAMPLE - "Oxs_ExchangePtwise::Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE - "Oxs_ExchangePtwise::Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE - "Oxs_TwoSurfaceExchange::Energy": "E", # NO SAMPLE + "Oxs_RungeKuttaEvolve": { + "Total energy": "E", + "Energy calc count": "E_calc_count", + "Max dm/dt": "max_dm/dt", + "dE/dt": "dE/dt", + "Delta E": "delta_E", + }, + "Oxs_EulerEvolve": { + "Total energy": "E", + "Energy calc count": "E_calc_count", + "Max dm/dt": "max_dmdt", + "dE/dt": "dE/dt", + "Delta E": "delta_E", + }, + "Oxs_TimeDriver": { + "Iteration": "iteration", + "Stage iteration": "stage_iteration", + "Stage": "stage", + "mx": "mx", + "my": "my", + "mz": "mz", + "Last time step": "last_time_step", + "Simulation time": "t", + }, + "Oxs_CGEvolve": { + "Max mxHxm": "max_mxHxm", + "Total energy": "E", + "Delta E": "delta_E", + "Bracket count": "bracket_count", + "Line min count": "line_min_count", + "Conjugate cycle count": "conjugate_cycle_count", + "Cycle count": "cycle_count", + "Cycle sub count": "cycle_sub_count", + "Energy calc count": "energy_calc_count", + }, + "YY_FixedMEL": {"Energy": "MEL_E"}, + "Anv_SpinTEvolve": { + "Total energy": "E", + "Energy calc count": "E_calc_count", + "Max dm/dt": "max_dmdt", + "dE/dt": "dE/dt", + "Delta E": "delta_E", + "average u": "average_u", + }, + "Oxs_SpinXferEvolve": { + "Total energy": "E", # NO SAMPLE + "Energy calc count": "E_calc_count", # NO SAMPLE + "Max dm/dt": "max_dmdt", # NO SAMPLE + "dE/dt": "dE/dt", # NO SAMPLE + "Delta E": "delta_E", # NO SAMPLE + "average u": "average_u", # NO SAMPLE + "average J": "average_J", # NO SAMPLE + }, + "UHH_ThetaEvolve": { + "Total energy": "E", # NO SAMPLE + "Energy calc count": "E_calc_count", # NO SAMPLE + "Max dm/dt": "max_dmdt", # NO SAMPLE + "dE/dt": "dE/dt", # NO SAMPLE + "Delta E": "delta_E", # NO SAMPLE + "Temperature": "T", # NO SAMPLE + }, + "Xf_ThermHeunEvolve": { + "Total energy": "E", # NO SAMPLE + "Energy calc count": "E_calc_count", # NO SAMPLE + "Max dm/dt": "max_dmdt", # NO SAMPLE + "dE/dt": "dE/dt", # NO SAMPLE + "Delta E": "delta_E", # NO SAMPLE + "Temperature": "T", # NO SAMPLE + }, + "Xf_ThermSpinXferEvolve": { + "Total energy": "E", # NO SAMPLE + "Energy calc count": "E_calc_count", # NO SAMPLE + "Max dm/dt": "max_dmdt", # NO SAMPLE + "dE/dt": "dE/dt", # NO SAMPLE + "Delta E": "delta_E", # NO SAMPLE + "Temperature": "T", # NO SAMPLE + }, + "Oxs_MinDriver": { + "Iteration": "iteration", + "Stage iteration": "stage_iteration", + "Stage": "stage", + "mx": "mx", + "my": "my", + "mz": "mz", + }, + "Oxs_UniformExchange": { + "Max Spin Ang": "max_spin_ang", + "Stage Max Spin Ang": "stage_max_spin_ang", + "Run Max Spin Ang": "run_max_spin_ang", + "Energy": "E_exchange", + }, + "Oxs_DMExchange6Ngbr": {"Energy": "E_DM_exchange6ngbr"}, # NO SAMPLE + "Oxs_DMI_Cnv": {"Energy": "E_DMI_Cnv"}, # TODO: PREFIX + "Oxs_DMI_T": {"Energy": "E_DMI_T"}, # NO SAMPLE, TODO: PREFIX + "Oxs_DMI_D2d": {"Energy": "E_DMI_Dd"}, # NO SAMPLE, TODO: PREFIX + "Oxs_Demag": {"Energy": "E_demag"}, + "Oxs_FixedZeeman": {"Energy": "E_zeeman"}, + "Oxs_UZeeman": { + "Energy": "E_zeeman", + "B": "B", + "Bx": "Bx", + "By": "By", + "Bz": "Bz", + }, + "Oxs_ScriptUZeeman": { + "Energy": "E_zeeman", # NO SAMPLE + "B": "B", # NO SAMPLE + "Bx": "Bx", # NO SAMPLE + "By": "By", # NO SAMPLE + "Bz": "Bz", # NO SAMPLE + }, + "Oxs_TransformZeeman": {"Energy": "E_zeeman"}, # NO SAMPLE + "Oxs_CubicAnisotropy": {"Energy": "E_zeeman"}, + "Oxs_UniaxialAnisotropy": {"Energy": "E_zeeman"}, + "Southampton_UniaxialAnisotropy4": {"Energy": "E_zeeman"}, # NO SAMPLE + "Oxs_Exchange6Ngbr": { + "Energy": "E_exchange6ngbr", + "Max Spin Ang": "max_spin_ang", + "Stage Max Spin Ang": "stage_max_spin_ang", + "Run Max Spin Ang": "run_max_spin_ang", + }, + "Oxs_ExchangePtwise": { + "Energy": "E_exchange_ptwise", # NO SAMPLE + "Max Spin Ang": "max_spin_ang", # NO SAMPLE + "Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE + "Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE + }, + "Oxs_TwoSurfaceExchange": {"Energy": "E_two_surface_exchange"}, # NO SAMPLE } # The mumax3 columns are renamed according to this dictionary. @@ -308,21 +323,20 @@ def _rename_column(name, cols_dict): Renaming is based on _OOMMF_DICT or _MUMAX3_DICT. """ - if name in cols_dict: - return cols_dict[name] - - for key in cols_dict: - if len(key.split("::")) == 2: - start, end = key.split("::") - name_split = name.split(":") - if name_split[0] == start and name_split[-1] == end: - term_name = name_split[1] - type_name = cols_dict[key] - # required for E_exchange in old and new OOMMF odt files - if not type_name.endswith(term_name): - type_name = f"{type_name}_{term_name}" - return type_name - return name # name cannot be found in dictionary + name_split = name.split(":") + try: + group = cols_dict[name_split[0]] + if isinstance(group, str): # Mumax3 keys + return group + quantity = group[name_split[-1]] + term_name = name_split[1] + if not quantity.endswith(term_name): + # unique names if the same quantity is present multiple times + # e.g. multiple Zeeman fields + quantity = f"{quantity}_{term_name}" + return quantity + except KeyError: + return name @property def data(self): From f53eb6f09592f8c4aa7b5e294713452646c5a7a2 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 20 Feb 2023 12:48:05 +0100 Subject: [PATCH 08/33] Re-order _OOMMF_DICT --- ubermagtable/table.py | 50 +++++++++++++++++++++---------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index bf1480e..18c1c17 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -63,16 +63,6 @@ class Table: "dE/dt": "dE/dt", "Delta E": "delta_E", }, - "Oxs_TimeDriver": { - "Iteration": "iteration", - "Stage iteration": "stage_iteration", - "Stage": "stage", - "mx": "mx", - "my": "my", - "mz": "mz", - "Last time step": "last_time_step", - "Simulation time": "t", - }, "Oxs_CGEvolve": { "Max mxHxm": "max_mxHxm", "Total energy": "E", @@ -84,7 +74,6 @@ class Table: "Cycle sub count": "cycle_sub_count", "Energy calc count": "energy_calc_count", }, - "YY_FixedMEL": {"Energy": "MEL_E"}, "Anv_SpinTEvolve": { "Total energy": "E", "Energy calc count": "E_calc_count", @@ -134,17 +123,40 @@ class Table: "my": "my", "mz": "mz", }, + "Oxs_TimeDriver": { + "Iteration": "iteration", + "Stage iteration": "stage_iteration", + "Stage": "stage", + "mx": "mx", + "my": "my", + "mz": "mz", + "Last time step": "last_time_step", + "Simulation time": "t", + }, "Oxs_UniformExchange": { "Max Spin Ang": "max_spin_ang", "Stage Max Spin Ang": "stage_max_spin_ang", "Run Max Spin Ang": "run_max_spin_ang", "Energy": "E_exchange", }, + "Oxs_Exchange6Ngbr": { + "Energy": "E_exchange6ngbr", + "Max Spin Ang": "max_spin_ang", + "Stage Max Spin Ang": "stage_max_spin_ang", + "Run Max Spin Ang": "run_max_spin_ang", + }, + "Oxs_ExchangePtwise": { + "Energy": "E_exchange_ptwise", # NO SAMPLE + "Max Spin Ang": "max_spin_ang", # NO SAMPLE + "Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE + "Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE + }, + "Oxs_TwoSurfaceExchange": {"Energy": "E_two_surface_exchange"}, # NO SAMPLE + "Oxs_Demag": {"Energy": "E_demag"}, "Oxs_DMExchange6Ngbr": {"Energy": "E_DM_exchange6ngbr"}, # NO SAMPLE "Oxs_DMI_Cnv": {"Energy": "E_DMI_Cnv"}, # TODO: PREFIX "Oxs_DMI_T": {"Energy": "E_DMI_T"}, # NO SAMPLE, TODO: PREFIX "Oxs_DMI_D2d": {"Energy": "E_DMI_Dd"}, # NO SAMPLE, TODO: PREFIX - "Oxs_Demag": {"Energy": "E_demag"}, "Oxs_FixedZeeman": {"Energy": "E_zeeman"}, "Oxs_UZeeman": { "Energy": "E_zeeman", @@ -164,19 +176,7 @@ class Table: "Oxs_CubicAnisotropy": {"Energy": "E_zeeman"}, "Oxs_UniaxialAnisotropy": {"Energy": "E_zeeman"}, "Southampton_UniaxialAnisotropy4": {"Energy": "E_zeeman"}, # NO SAMPLE - "Oxs_Exchange6Ngbr": { - "Energy": "E_exchange6ngbr", - "Max Spin Ang": "max_spin_ang", - "Stage Max Spin Ang": "stage_max_spin_ang", - "Run Max Spin Ang": "run_max_spin_ang", - }, - "Oxs_ExchangePtwise": { - "Energy": "E_exchange_ptwise", # NO SAMPLE - "Max Spin Ang": "max_spin_ang", # NO SAMPLE - "Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE - "Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE - }, - "Oxs_TwoSurfaceExchange": {"Energy": "E_two_surface_exchange"}, # NO SAMPLE + "YY_FixedMEL": {"Energy": "MEL_E"}, } # The mumax3 columns are renamed according to this dictionary. From a754952a105a5716b4202ce76c1ae3a55a5c0d1b Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 20 Feb 2023 12:57:24 +0100 Subject: [PATCH 09/33] Move tests for columns and units to Table class --- ubermagtable/tests/test_table.py | 30 +++++++++++++++-- ubermagtable/tests/test_util.py | 55 -------------------------------- 2 files changed, 27 insertions(+), 58 deletions(-) delete mode 100644 ubermagtable/tests/test_util.py diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index 215f7d5..ef06359 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -69,9 +69,33 @@ def test_init(self): def test_fromfile(self): for odtfile in self.odtfiles: - for _rename in [True, False]: - table = ut.Table.fromfile(odtfile) - check_table(table) + table = ut.Table.fromfile(odtfile, rename=False) + check_table(table) + + table_short_names = ut.Table.fromfile(odtfile, rename=True) + check_table(table_short_names) + + assert len(table.data) == len(table_short_names.data) + assert len(table.data.columns) == len(table_short_names.data.columns) + + def test_columns(self): + for odtfile in self.odtfiles: + for rename in [True, False]: + table = ut.Table.fromfile(odtfile, rename=rename) + columns = table.data.columns + assert all(isinstance(column, str) for column in columns) + assert len(columns) == len(set(columns)) # unique column names + + def test_units(self): + for odtfile in self.odtfiles: + for rename in [True, False]: + table = ut.Table.fromfile(odtfile, rename=rename) + units = table.units + assert isinstance(units, dict) + assert all(isinstance(unit, str) for unit in units.keys()) + assert all(isinstance(unit, str) for unit in units.values()) + assert "J" in units.values() # Energy is always in + assert "" in units.values() # Columns with no units are always in def test_xy(self): table = ut.Table.fromfile(self.odtfiles[0], x="t") diff --git a/ubermagtable/tests/test_util.py b/ubermagtable/tests/test_util.py deleted file mode 100644 index a4d8789..0000000 --- a/ubermagtable/tests/test_util.py +++ /dev/null @@ -1,55 +0,0 @@ -import itertools -import numbers -import os - -import ubermagtable.util as uu - -dirname = os.path.join(os.path.dirname(__file__), "test_sample/") -filenames = [ - "oommf-old-file1.odt", - "oommf-old-file2.odt", - "oommf-old-file3.odt", - "oommf-old-file4.odt", - "oommf-old-file5.odt", - "oommf-old-file6.odt", - "oommf-old-file7.odt", - "oommf-old-file8.odt", - "oommf-new-file1.odt", - "oommf-new-file2.odt", - "oommf-new-file3.odt", - "oommf-new-file4.odt", - "oommf-new-file5.odt", - "mumax3-file1.txt", - "oommf-mel-file.odt", -] -odtfiles = [os.path.join(dirname, f) for f in filenames] - - -def test_columns(): - for odtfile in odtfiles: - for rename in [True, False]: - columns = uu.columns(odtfile, rename=rename) - - assert isinstance(columns, list) - assert all(isinstance(column, str) for column in columns) - assert len(columns) == len(set(columns)) # unique column names - - -def test_units(): - for odtfile in odtfiles: - for rename in [True, False]: - units = uu.units(odtfile, rename=rename) - - assert isinstance(units, dict) - assert all(isinstance(unit, str) for unit in units) - assert all(isinstance(unit, str) for unit in units.values()) - assert "J" in units.values() # Energy is always in - assert "" in units.values() # Columns with no units are always in - - -def test_data(): - for odtfile in odtfiles: - data = uu.data(odtfile) - - assert isinstance(data, list) - assert all(isinstance(i, numbers.Real) for i in itertools.chain(*data)) From db650796f6a54e48e448a53a00f2e7dc4057ca0a Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 20 Feb 2023 13:39:29 +0100 Subject: [PATCH 10/33] Change variable names in _rename_column --- ubermagtable/table.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 18c1c17..c7c236d 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -328,13 +328,15 @@ def _rename_column(name, cols_dict): group = cols_dict[name_split[0]] if isinstance(group, str): # Mumax3 keys return group - quantity = group[name_split[-1]] + attribute = group[name_split[-1]] term_name = name_split[1] - if not quantity.endswith(term_name): - # unique names if the same quantity is present multiple times - # e.g. multiple Zeeman fields - quantity = f"{quantity}_{term_name}" - return quantity + if not attribute.endswith(term_name): + # - unique names if the same quantity is present multiple times + # e.g. multiple Zeeman fields + # - also required for changes in the exchange field in "old" and "new" + # OOMMF odt files + attribute = f"{attribute}_{term_name}" + return attribute except KeyError: return name From 520827908ba3e6f21f04476266bd6e53d71900ce Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 29 Nov 2023 16:17:28 +0100 Subject: [PATCH 11/33] Remove all functionality to read table data from file This functionality is calculator-specific and is moved to the individual adapter packages --- ubermagtable/table.py | 278 ------------------------------------------ 1 file changed, 278 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index c7c236d..ba4aec9 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -1,5 +1,3 @@ -import re - import ipywidgets import matplotlib.pyplot as plt import numpy as np @@ -47,153 +45,6 @@ class Table: """ - # The OOMMF columns are renamed according to this dictionary. - _OOMMF_DICT = { - "Oxs_RungeKuttaEvolve": { - "Total energy": "E", - "Energy calc count": "E_calc_count", - "Max dm/dt": "max_dm/dt", - "dE/dt": "dE/dt", - "Delta E": "delta_E", - }, - "Oxs_EulerEvolve": { - "Total energy": "E", - "Energy calc count": "E_calc_count", - "Max dm/dt": "max_dmdt", - "dE/dt": "dE/dt", - "Delta E": "delta_E", - }, - "Oxs_CGEvolve": { - "Max mxHxm": "max_mxHxm", - "Total energy": "E", - "Delta E": "delta_E", - "Bracket count": "bracket_count", - "Line min count": "line_min_count", - "Conjugate cycle count": "conjugate_cycle_count", - "Cycle count": "cycle_count", - "Cycle sub count": "cycle_sub_count", - "Energy calc count": "energy_calc_count", - }, - "Anv_SpinTEvolve": { - "Total energy": "E", - "Energy calc count": "E_calc_count", - "Max dm/dt": "max_dmdt", - "dE/dt": "dE/dt", - "Delta E": "delta_E", - "average u": "average_u", - }, - "Oxs_SpinXferEvolve": { - "Total energy": "E", # NO SAMPLE - "Energy calc count": "E_calc_count", # NO SAMPLE - "Max dm/dt": "max_dmdt", # NO SAMPLE - "dE/dt": "dE/dt", # NO SAMPLE - "Delta E": "delta_E", # NO SAMPLE - "average u": "average_u", # NO SAMPLE - "average J": "average_J", # NO SAMPLE - }, - "UHH_ThetaEvolve": { - "Total energy": "E", # NO SAMPLE - "Energy calc count": "E_calc_count", # NO SAMPLE - "Max dm/dt": "max_dmdt", # NO SAMPLE - "dE/dt": "dE/dt", # NO SAMPLE - "Delta E": "delta_E", # NO SAMPLE - "Temperature": "T", # NO SAMPLE - }, - "Xf_ThermHeunEvolve": { - "Total energy": "E", # NO SAMPLE - "Energy calc count": "E_calc_count", # NO SAMPLE - "Max dm/dt": "max_dmdt", # NO SAMPLE - "dE/dt": "dE/dt", # NO SAMPLE - "Delta E": "delta_E", # NO SAMPLE - "Temperature": "T", # NO SAMPLE - }, - "Xf_ThermSpinXferEvolve": { - "Total energy": "E", # NO SAMPLE - "Energy calc count": "E_calc_count", # NO SAMPLE - "Max dm/dt": "max_dmdt", # NO SAMPLE - "dE/dt": "dE/dt", # NO SAMPLE - "Delta E": "delta_E", # NO SAMPLE - "Temperature": "T", # NO SAMPLE - }, - "Oxs_MinDriver": { - "Iteration": "iteration", - "Stage iteration": "stage_iteration", - "Stage": "stage", - "mx": "mx", - "my": "my", - "mz": "mz", - }, - "Oxs_TimeDriver": { - "Iteration": "iteration", - "Stage iteration": "stage_iteration", - "Stage": "stage", - "mx": "mx", - "my": "my", - "mz": "mz", - "Last time step": "last_time_step", - "Simulation time": "t", - }, - "Oxs_UniformExchange": { - "Max Spin Ang": "max_spin_ang", - "Stage Max Spin Ang": "stage_max_spin_ang", - "Run Max Spin Ang": "run_max_spin_ang", - "Energy": "E_exchange", - }, - "Oxs_Exchange6Ngbr": { - "Energy": "E_exchange6ngbr", - "Max Spin Ang": "max_spin_ang", - "Stage Max Spin Ang": "stage_max_spin_ang", - "Run Max Spin Ang": "run_max_spin_ang", - }, - "Oxs_ExchangePtwise": { - "Energy": "E_exchange_ptwise", # NO SAMPLE - "Max Spin Ang": "max_spin_ang", # NO SAMPLE - "Stage Max Spin Ang": "stage_max_spin_ang", # NO SAMPLE - "Run Max Spin Ang": "run_max_spin_ang", # NO SAMPLE - }, - "Oxs_TwoSurfaceExchange": {"Energy": "E_two_surface_exchange"}, # NO SAMPLE - "Oxs_Demag": {"Energy": "E_demag"}, - "Oxs_DMExchange6Ngbr": {"Energy": "E_DM_exchange6ngbr"}, # NO SAMPLE - "Oxs_DMI_Cnv": {"Energy": "E_DMI_Cnv"}, # TODO: PREFIX - "Oxs_DMI_T": {"Energy": "E_DMI_T"}, # NO SAMPLE, TODO: PREFIX - "Oxs_DMI_D2d": {"Energy": "E_DMI_Dd"}, # NO SAMPLE, TODO: PREFIX - "Oxs_FixedZeeman": {"Energy": "E_zeeman"}, - "Oxs_UZeeman": { - "Energy": "E_zeeman", - "B": "B", - "Bx": "Bx", - "By": "By", - "Bz": "Bz", - }, - "Oxs_ScriptUZeeman": { - "Energy": "E_zeeman", # NO SAMPLE - "B": "B", # NO SAMPLE - "Bx": "Bx", # NO SAMPLE - "By": "By", # NO SAMPLE - "Bz": "Bz", # NO SAMPLE - }, - "Oxs_TransformZeeman": {"Energy": "E_zeeman"}, # NO SAMPLE - "Oxs_CubicAnisotropy": {"Energy": "E_zeeman"}, - "Oxs_UniaxialAnisotropy": {"Energy": "E_zeeman"}, - "Southampton_UniaxialAnisotropy4": {"Energy": "E_zeeman"}, # NO SAMPLE - "YY_FixedMEL": {"Energy": "MEL_E"}, - } - - # The mumax3 columns are renamed according to this dictionary. - _MUMAX3_DICT = { - "t": "t", - "mx": "mx", - "my": "my", - "mz": "mz", - "E_total": "E", - "E_exch": "E_totalexchange", - "E_demag": "E_demag", - "E_Zeeman": "E_zeeman", - "E_anis": "E_totalanisotropy", - "dt": "dt", - "maxTorque": "maxtorque", - } - def __init__(self, data, units, x=None, attributes=None): self.data = data self.units = units @@ -211,135 +62,6 @@ def __init__(self, data, units, x=None, attributes=None): ignore_index=True, # reset the index to 0, 1, ..., n-1 ) - @classmethod - def fromfile(cls, filename, /, x=None, rename=True): - """Reads an OOMMF ``.odt`` or mumax3 ``.txt`` scalar data file and - returns a ``ubermagtable.Table`` object. - - Parameters - ---------- - filename : str - - OOMMF ``.odt`` or mumax3 ``.txt`` file. - - x : str, optional - - Independent variable name. Defaults to ``None``. - - rename : bool, optional - - If ``rename=True``, the column names are renamed with their shorter - versions. Defaults to ``True``. - - Returns - ------- - ubermagtable.Table - - Table object. - - Examples - -------- - 1. Defining ``ubermagtable.Table`` by reading an OOMMF ``.odt`` file. - - >>> import os - >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-hysteresis1.odt') - >>> table = ut.Table.fromfile(odtfile, x='B_hysteresis') - - 2. Defining ``ubermagtable.Table`` by reading a mumax3 ``.txt`` file. - - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', 'mumax3-file1.txt') - >>> table = ut.Table.fromfile(odtfile, x='t') - - """ - quantities = cls._read_header(filename, rename=rename) - data = pd.read_csv( - filename, - sep=r"\s+", - comment="#", - header=None, - names=list(quantities.keys()), - ) - return cls(data=data, units=quantities, x=x) - - @classmethod - def _read_header(cls, filename, rename=True): - """Extracts quantities for individual columns from a table file. - - This method extracts both column names and units and returns a dictionary, - where keys are column names and values are the units. - - Parameters - ---------- - filename : str - - OOMMF ``.odt`` or mumax3 ``.txt`` file. - - rename : bool - - If ``rename=True``, the column names are renamed with their shorter - versions. Defaults to ``True``. - - Returns - ------- - dict - - Dictionary of column names and units. - """ - - with open(filename) as f: - if (header_line_1 := f.readline()).startswith("# ODT"): # OOMMF odt file - cols_dict = cls._OOMMF_DICT - # COLUMN NAMES - while not (cline := f.readline()).startswith("# Columns"): - pass - columns = cline.lstrip("# Columns:").rstrip() - cols = re.findall(r"(?<={)[^}]+|[^ {}]+", columns) - # UNITS - uline = f.readline() - assert uline.startswith("# Units:") - units = uline.split()[2:] # [2:] to remove ["#", "Units:"] - units = [re.sub(r"[{}]", "", unit) for unit in units] - else: # mumax3 txt file - cols_dict = cls._MUMAX3_DICT - header_line_1 = header_line_1[len("# ") :].rstrip().split("\t") - # COLUMN NAMES - cols = [elem.split()[0] for elem in header_line_1] - # UNITS - units = [re.sub(r"[()]", "", elem.split()[1]) for elem in header_line_1] - - if rename: - cols = [cls._rename_column(col, cols_dict) for col in cols] - - return dict(zip(cols, units)) - - @staticmethod - def _rename_column(name, cols_dict): - """Rename columns to get shorter names without spaces. - - Renaming is based on _OOMMF_DICT or _MUMAX3_DICT. - """ - name_split = name.split(":") - try: - group = cols_dict[name_split[0]] - if isinstance(group, str): # Mumax3 keys - return group - attribute = group[name_split[-1]] - term_name = name_split[1] - if not attribute.endswith(term_name): - # - unique names if the same quantity is present multiple times - # e.g. multiple Zeeman fields - # - also required for changes in the exchange field in "old" and "new" - # OOMMF odt files - attribute = f"{attribute}_{term_name}" - return attribute - except KeyError: - return name - @property def data(self): """Scalar data of the drive. From 4767a40a417acf1fbaaf5dc78fdd9033ca31a3fd Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 16 Oct 2024 18:10:40 +0200 Subject: [PATCH 12/33] [WIP] update tests for generalised table --- ubermagtable/tests/test_interact.py | 3 + ubermagtable/tests/test_table.py | 412 +++++++++++++++------------- 2 files changed, 224 insertions(+), 191 deletions(-) diff --git a/ubermagtable/tests/test_interact.py b/ubermagtable/tests/test_interact.py index 8e40508..484caa7 100644 --- a/ubermagtable/tests/test_interact.py +++ b/ubermagtable/tests/test_interact.py @@ -1,8 +1,11 @@ import os +import pytest + import ubermagtable as ut +@pytest.mark.skip def test_interact(): dirname = os.path.join(os.path.dirname(__file__), "test_sample/") odtfile = os.path.join(dirname, "oommf-new-file2.odt") diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index ef06359..57087c8 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -10,6 +10,11 @@ import ubermagtable as ut +# TODO This file still contains a few assumptions about how data will look like, +# e.g. we use the strings "t", "mx", "iteration", etc. +# Think about how to generalise this/move it to some fixtures so that adapters +# can overwrite it + def check_table(table): assert isinstance(table, ut.Table) @@ -23,7 +28,7 @@ def check_table(table): if table.x is not None: assert isinstance(table.x, str) - assert table.x in ["t", "iteration", "B", None] + assert table.x in ["t", "iteration", "B"] assert isinstance(table.xmax, numbers.Real) assert table.xmax > 0 @@ -36,193 +41,218 @@ def check_table(table): assert isinstance(table.selector(), ipywidgets.SelectMultiple) -class TestTable: - def setup_method(self): - dirname = os.path.join(os.path.dirname(__file__), "test_sample/") - filenames = [ - "oommf-old-file1.odt", - "oommf-old-file2.odt", - "oommf-old-file3.odt", - "oommf-old-file4.odt", - "oommf-old-file5.odt", - "oommf-old-file6.odt", - "oommf-old-file7.odt", - "oommf-old-file8.odt", - "oommf-new-file1.odt", - "oommf-new-file2.odt", - "oommf-new-file3.odt", - "oommf-new-file4.odt", - "oommf-new-file5.odt", - "oommf-hysteresis1.odt", - "oommf-minsteps.odt", - "mumax3-file1.txt", - "oommf-mel-file.odt", - "oommf-issue1.odt", - ] - - self.odtfiles = [os.path.join(dirname, f) for f in filenames] - - def test_init(self): - table = ut.Table(pd.DataFrame(), units={}) - assert isinstance(table, ut.Table) - assert isinstance(table.data, pd.DataFrame) - - def test_fromfile(self): - for odtfile in self.odtfiles: - table = ut.Table.fromfile(odtfile, rename=False) - check_table(table) - - table_short_names = ut.Table.fromfile(odtfile, rename=True) - check_table(table_short_names) - - assert len(table.data) == len(table_short_names.data) - assert len(table.data.columns) == len(table_short_names.data.columns) - - def test_columns(self): - for odtfile in self.odtfiles: - for rename in [True, False]: - table = ut.Table.fromfile(odtfile, rename=rename) - columns = table.data.columns - assert all(isinstance(column, str) for column in columns) - assert len(columns) == len(set(columns)) # unique column names - - def test_units(self): - for odtfile in self.odtfiles: - for rename in [True, False]: - table = ut.Table.fromfile(odtfile, rename=rename) - units = table.units - assert isinstance(units, dict) - assert all(isinstance(unit, str) for unit in units.keys()) - assert all(isinstance(unit, str) for unit in units.values()) - assert "J" in units.values() # Energy is always in - assert "" in units.values() # Columns with no units are always in - - def test_xy(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert table.x == "t" - assert "mx" in table.y - - with pytest.raises(ValueError): - table = ut.Table.fromfile(self.odtfiles[0], x="wrong") - - def test_xmax(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert abs(table.xmax - 25e-12) < 1e-15 - - def test_lshift(self): - table1 = ut.Table.fromfile(self.odtfiles[0], x="t") - table2 = ut.Table.fromfile(self.odtfiles[1], x="t") - - res = table1 << table2 - - assert res.xmax == table1.xmax + table2.xmax - # Are all time values unique? - assert len(set(res.data[res.x].to_numpy())) == 40 - - # Exception - table3 = ut.Table.fromfile(self.odtfiles[2], x="iteration") - with pytest.raises(ValueError): - res = table1 << table3 - - with pytest.raises(ValueError): - res = table3 << table1 - - with pytest.raises(TypeError): - res = table3 << 5 - - def test_mpl(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - - # No axis - table.mpl() - - # Axis - fig = plt.figure(figsize=(10, 8)) - ax = fig.add_subplot(111) - table.mpl(ax=ax) - - # figsize - table.mpl(figsize=(10, 5)) - - # x - table.mpl(x="mx") - - # multiplier - table.mpl(multiplier=1e-6) - - # yaxis - table.mpl(y=["E", "mx"]) - - # xlim - table.mpl(xlim=(0, 20e-12)) - - # kwargs - table.mpl(marker="o") - - # filename - filename = "table-plot.pdf" - with tempfile.TemporaryDirectory() as tmpdir: - tmpfilename = os.path.join(tmpdir, filename) - table.mpl(filename=tmpfilename) - - # Exception - no time column - table = ut.Table.fromfile(self.odtfiles[2]) - with pytest.raises(ValueError): - table.mpl(x="t") - - # Hysteresis plot - table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") - table.mpl() - - plt.close("all") - - def test_slider(self): - # Exception - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) - table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") - assert isinstance( - table.slider(x="B_hysteresis"), ipywidgets.SelectionRangeSlider - ) - with pytest.raises(ValueError): - table.slider(x="wrong") - - def test_selector(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) - table = ut.Table.fromfile(self.odtfiles[-4], x="iteration") - assert isinstance(table.selector(), ipywidgets.SelectMultiple) - # Exception - with pytest.raises(ValueError): - table.selector(x="wrong") - - def test_oommf_mel(self): - table = ut.Table.fromfile(self.odtfiles[-2]) - columns = table.data.columns.to_list() - assert len(columns) == 16 - - def test_oommf_issue1(self): - """The odt file contains columns ``Oxs_Exchange6Ngbr:...`` and - ``My_Exchange6Ngbr:...``. During processing we remove the ``Oxs_`` or ``My_`` - prefix and subsequently loose the "duplicated" columns in the pandas dataframe. - - """ - table = ut.Table.fromfile(self.odtfiles[-1]) - columns = table.data.columns.to_list() - assert len(columns) == 30 - - def test_rfft(self): - table = ut.Table.fromfile(self.odtfiles[12], x="t") - fft_table = table.rfft() - fft_table.x = None - check_table(fft_table) - - def test_irfft(self): - table = ut.Table.fromfile(self.odtfiles[12], x="t") - fft_table = table.rfft() - ifft_table = fft_table.irfft() - ifft_table.x = None - check_table(ifft_table) - assert np.allclose(ifft_table.data["t"].values, table.data["t"].values) - for y in ifft_table.y: - assert np.allclose(ifft_table.data[y].values, table.data[y].values) +def _table_energy_minimisation_factory(*, table_kwargs=None, **kwargs): + """Create sample tables for energy minimisation. + + Parameters + ---------- + table_kwargs : dict + Keyword arguments passed to Table.__init__, e.g. to set Table.x + kwargs + Keyword arguments to control the table reading function in the adapter class, + e.g. to control column renaming. Passing keyword arguments has no effect in + this implementation. + """ + if table_kwargs is None: + table_kwargs = {} + data = pd.DataFrame({"E": 1e-19, "mx": 0, "my": 0, "mz": 1}, index=[0]) + units = {"E": "J", "mx": "", "my": "", "mz": ""} + return ut.Table(data, units, **table_kwargs) + + +# TODO: setting tmin = 0 breaks some tests; is this a real problem or unrealistic data? +def _table_llg_factory(*, table_kwargs=None, **kwargs): + if table_kwargs is None: + table_kwargs = {} + n = 20 + ts = np.linspace(1e-9 / 20, 1e-9, n) + data = pd.DataFrame( + { + "t": ts, + "E": np.linspace(-2e-18, -3e-18, n), + "mx": np.sin(ts), + "my": np.cos(ts), + "mz": np.zeros_like(ts), + } + ) + units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} + return ut.Table(data, units, **table_kwargs) + + +@pytest.fixture +def table_llg_factory(): + return _table_llg_factory + + +@pytest.fixture(params=[_table_energy_minimisation_factory, _table_llg_factory]) +def table_factory(request): + return request.param + + +def test_table_init(): + """Basic check creating an empty Table.""" + table = ut.Table(pd.DataFrame(), units={}) + assert isinstance(table, ut.Table) + assert isinstance(table.data, pd.DataFrame) + + +def test_table_attributes(table_factory): + """Check conversion of different samples into Table objects. + + Adapter modules should overwrite table_factory to provide real samples. + """ + table = table_factory(rename=False) + check_table(table) + + table_short_names = table_factory(rename=True) + check_table(table_short_names) + + assert len(table.data) == len(table_short_names.data) + assert len(table.data.columns) == len(table_short_names.data.columns) + + +@pytest.mark.parametrize("rename", [True, False]) +def test_table_columns(table_factory, rename): + columns = table_factory(rename=rename).data.columns + assert all(isinstance(column, str) for column in columns) + assert len(columns) == len(set(columns)) # unique column names + + +@pytest.mark.parametrize("rename", [True, False]) +def test_table_units(table_factory, rename): + units = table_factory(rename=rename).units + assert isinstance(units, dict) + assert all(isinstance(unit, str) for unit in units.keys()) + assert all(isinstance(unit, str) for unit in units.values()) + assert "J" in units.values() # Energy is always in + assert "" in units.values() # Columns with no units are always in + + +def test_table_xy(table_llg_factory): + """Test setting table.x and automatic table.y generation.""" + table = table_llg_factory(table_kwargs={"x": "t"}) + assert table.x == "t" + assert "mx" in table.y + assert "t" not in table.y + + with pytest.raises(ValueError): + table = table_llg_factory(table_kwargs={"x": "wrong"}) + + +# TODO: how do we best generalise this test? +@pytest.mark.skip +def test_table_xmax(self): + table = ut.Table.fromfile(self.odtfiles[0], x="t") + assert abs(table.xmax - 25e-12) < 1e-15 + + +def test_table_lshift(table_llg_factory): + table1 = table_llg_factory(table_kwargs={"x": "t"}) + table2 = table_llg_factory(table_kwargs={"x": "t"}) + + res = table1 << table2 + + assert res.xmax == table1.xmax + table2.xmax + # Are all time values unique? + assert len(set(res.data[res.x].to_numpy())) == len(table1.data) + len(table2.data) + + # Concatenating tables with different independent variables "x" is not possible + table3 = table_llg_factory(table_kwargs={"x": "mx"}) + with pytest.raises(ValueError): + res = table1 << table3 + + with pytest.raises(ValueError): + res = table3 << table1 + + with pytest.raises(TypeError): + res = table3 << 5 + + +def test_table_mpl(table_factory): + table = table_factory() + + # plotting requires 'x' to be set to a column in the data frame; + # we set it to the first column ("t" or "iteration") for the mock data + if table.x is None: + table.x = list(table.units.keys())[0] + + # No axis + table.mpl() + + # Axis + fig = plt.figure(figsize=(10, 8)) + ax = fig.add_subplot(111) + table.mpl(ax=ax) + + # figsize + table.mpl(figsize=(10, 5)) + + # x + table.mpl(x="mx") + + # multiplier + table.mpl(multiplier=1e-6) + + # yaxis + table.mpl(y=["mx", "my"]) + + # xlim + table.mpl(xlim=(0, 20e-12)) + + # kwargs + table.mpl(marker="o") + + # filename + filename = "table-plot.pdf" + with tempfile.TemporaryDirectory() as tmpdir: + tmpfilename = os.path.join(tmpdir, filename) + table.mpl(filename=tmpfilename) + + # Exception - invalid column name + with pytest.raises(ValueError): + table.mpl(x="wrong") + + plt.close("all") + + +def test_table_rfft(table_llg_factory): + table = table_llg_factory(table_kwargs={"x": "t"}) + fft_table = table.rfft() + fft_table.x = None + check_table(fft_table) + + +# TODO +def test_table_irfft(table_llg_factory): + table = table_llg_factory(table_kwargs={"x": "t"}) + fft_table = table.rfft() + ifft_table = fft_table.irfft() + ifft_table.x = None # TODO ASK SAM WHY THIS IS SET TO NONE + check_table(ifft_table) + assert np.allclose(ifft_table.data["t"].values, table.data["t"].values) + for y in ifft_table.y: + assert np.allclose(ifft_table.data[y].values, table.data[y].values) + + +# TODO: how do we best deal with this? +@pytest.mark.skip +def test_table_slider(self): + # Exception + table = ut.Table.fromfile(self.odtfiles[0], x="t") + assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) + table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") + assert isinstance(table.slider(x="B_hysteresis"), ipywidgets.SelectionRangeSlider) + with pytest.raises(ValueError): + table.slider(x="wrong") + + +# TODO: how do we best deal with this? +@pytest.mark.skip +def test_table_selector(self): + table = ut.Table.fromfile(self.odtfiles[0], x="t") + assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) + table = ut.Table.fromfile(self.odtfiles[-4], x="iteration") + assert isinstance(table.selector(), ipywidgets.SelectMultiple) + # Exception + with pytest.raises(ValueError): + table.selector(x="wrong") From 50984b8f2aebd3332f2d8c43c3589fcfe63c60dc Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Tue, 9 Jun 2026 10:15:51 +0200 Subject: [PATCH 13/33] Review unit tests and delete duplicated fixtures --- ubermagtable/tests/test_table.py | 61 +++----------------------------- 1 file changed, 5 insertions(+), 56 deletions(-) diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index 57087c8..d129a53 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -41,54 +41,6 @@ def check_table(table): assert isinstance(table.selector(), ipywidgets.SelectMultiple) -def _table_energy_minimisation_factory(*, table_kwargs=None, **kwargs): - """Create sample tables for energy minimisation. - - Parameters - ---------- - table_kwargs : dict - Keyword arguments passed to Table.__init__, e.g. to set Table.x - kwargs - Keyword arguments to control the table reading function in the adapter class, - e.g. to control column renaming. Passing keyword arguments has no effect in - this implementation. - """ - if table_kwargs is None: - table_kwargs = {} - data = pd.DataFrame({"E": 1e-19, "mx": 0, "my": 0, "mz": 1}, index=[0]) - units = {"E": "J", "mx": "", "my": "", "mz": ""} - return ut.Table(data, units, **table_kwargs) - - -# TODO: setting tmin = 0 breaks some tests; is this a real problem or unrealistic data? -def _table_llg_factory(*, table_kwargs=None, **kwargs): - if table_kwargs is None: - table_kwargs = {} - n = 20 - ts = np.linspace(1e-9 / 20, 1e-9, n) - data = pd.DataFrame( - { - "t": ts, - "E": np.linspace(-2e-18, -3e-18, n), - "mx": np.sin(ts), - "my": np.cos(ts), - "mz": np.zeros_like(ts), - } - ) - units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} - return ut.Table(data, units, **table_kwargs) - - -@pytest.fixture -def table_llg_factory(): - return _table_llg_factory - - -@pytest.fixture(params=[_table_energy_minimisation_factory, _table_llg_factory]) -def table_factory(request): - return request.param - - def test_table_init(): """Basic check creating an empty Table.""" table = ut.Table(pd.DataFrame(), units={}) @@ -122,10 +74,10 @@ def test_table_columns(table_factory, rename): def test_table_units(table_factory, rename): units = table_factory(rename=rename).units assert isinstance(units, dict) - assert all(isinstance(unit, str) for unit in units.keys()) + assert all(isinstance(unit, str) for unit in units) assert all(isinstance(unit, str) for unit in units.values()) - assert "J" in units.values() # Energy is always in - assert "" in units.values() # Columns with no units are always in + assert "J" in units.values() # Energy is always present + assert "" in units.values() # Columns with no units are always present def test_table_xy(table_llg_factory): @@ -139,11 +91,8 @@ def test_table_xy(table_llg_factory): table = table_llg_factory(table_kwargs={"x": "wrong"}) -# TODO: how do we best generalise this test? -@pytest.mark.skip -def test_table_xmax(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert abs(table.xmax - 25e-12) < 1e-15 +def test_table_xmax(table_llg_25ps): + assert abs(table_llg_25ps.xmax - 25e-12) < 1e-15 def test_table_lshift(table_llg_factory): From e355c26d2b304c21b26f6e7e042e7c45cad183f9 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 09:57:36 +0200 Subject: [PATCH 14/33] Provide sample data and update all doctests --- ubermagtable/__init__.py | 1 + ubermagtable/interact.py | 8 +- ubermagtable/table.py | 171 ++++++++++++++++++--------------------- 3 files changed, 80 insertions(+), 100 deletions(-) diff --git a/ubermagtable/__init__.py b/ubermagtable/__init__.py index 0bdd6b0..f0fdabe 100644 --- a/ubermagtable/__init__.py +++ b/ubermagtable/__init__.py @@ -8,6 +8,7 @@ from .interact import interact as interact from .table import Table as Table +from .table import sample_data as sample_data # Enable default plotting style. dirname = os.path.abspath(os.path.dirname(__file__)) diff --git a/ubermagtable/interact.py b/ubermagtable/interact.py index 17977f2..04fe195 100644 --- a/ubermagtable/interact.py +++ b/ubermagtable/interact.py @@ -10,14 +10,8 @@ def interact(**kwargs): ------- 1. Interactive plotting. - >>> import os >>> import ubermagtable as ut - ... - >>> dirname = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample') - >>> odtfile = os.path.join(dirname, 'oommf-old-file1.odt') - ... - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> @ut.interact(xlim=table.slider()) # doctest: +SKIP ... def myplot(xlim): ... field.mpl(xlim=xlim) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index ba4aec9..b43c225 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -34,14 +34,21 @@ class Table: Examples -------- - 1. Defining ``ubermagtable.Table`` by reading an OOMMF ``.odt`` file. + 1. Defining ``ubermagtable.Table`` from pandas dataframe - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', 'oommf-new-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='iteration') + >>> import pandas as pd + >>> table = ut.Table( + ... data=pd.DataFrame({'t': [1, 2, 3], 'mx': [0, 0.5, 1]}), + ... units={'t': 'ns', 'mx': ''}, + ... x='t', + ... ) + >>> table + t mx + 0 1 0.0 + 1 2 0.5 + 2 3 1.0 + """ @@ -134,15 +141,10 @@ def y(self): -------- 1. Getting data columns. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file5.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> table.y - [...] + ['mx', 'my', 'mz'] """ return [col for col in self.data.columns if col != self.x] @@ -171,15 +173,10 @@ def xmax(self): -------- 1. Getting independent variable range. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') - >>> table.xmax / 1e-12 # get the results in picoseconds - 24.999... + >>> table = ut.sample_data() + >>> table.xmax + 3e-09 """ return self.data[self.x].iloc[-1].item() @@ -230,16 +227,14 @@ def apply(self, func, columns=None, args=(), **kwargs): -------- 1. Applying absolute function to data. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') - >>> new_table = table.apply(np.abs) - ... - + >>> table = ut.sample_data() + >>> new_table = table.apply(lambda x: -x) + >>> new_table + t mx my mz + 0 1.000000e-09 -1 0 0 + 1 2.000000e-09 0 -1 0 + 2 3.000000e-09 0 0 -1 """ if columns is None: columns = self.y @@ -283,13 +278,8 @@ def rfft(self, x=None, y=None): -------- 1. Applying Fourier transforms to the table. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-new-file5.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> fft_table = table.rfft() ... @@ -354,13 +344,8 @@ def irfft(self, x=None, y=None): -------- 1. Applying inverse Fourier transforms to the table. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-new-file5.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> ifft_table = table.rfft().irfft() ... @@ -405,22 +390,7 @@ def __repr__(self): ------- str - Representation string. - - Example - ------- - 1. Getting representation string. - - >>> import os - >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file3.odt') - >>> table = ut.Table.fromfile(odtfile, x='iteration') - >>> repr(table) - '... - + Representation string of the underlying pandas dataframe. """ return repr(self.data) @@ -460,25 +430,24 @@ def __lshift__(self, other): -------- 1. Merging two tables. - >>> import os >>> import ubermagtable as ut - ... - >>> dirname = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample') - >>> odtfile1 = os.path.join(dirname, 'oommf-old-file1.odt') - >>> odtfile2 = os.path.join(dirname, 'oommf-old-file2.odt') - ... - >>> table1 = ut.Table.fromfile(odtfile1, x='t') - >>> table2 = ut.Table.fromfile(odtfile2, x='t') + >>> table1 = ut.sample_data() + >>> table2 = ut.sample_data() >>> merged_table = table1 << table2 - ... - >>> table1.xmax / 1e-12 # in picoseconds - 24.999... - >>> table2.xmax / 1e-12 # in picoseconds - 15.0 - >>> merged_table.xmax / 1e-12 # in picoseconds - 39.99... - + >>> table1.xmax + 3e-09 + >>> table2.xmax + 3e-09 + >>> merged_table.xmax + 6e-09 + >>> merged_table + t mx my mz + 0 1.000000e-09 1 0 0 + 1 2.000000e-09 0 1 0 + 2 3.000000e-09 0 0 1 + 3 4.000000e-09 1 0 0 + 4 5.000000e-09 0 1 0 + 5 6.000000e-09 0 0 1 """ if not isinstance(other, self.__class__): msg = ( @@ -576,13 +545,8 @@ def mpl( -------- 1. Visualising time-dependent data. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> table.mpl() """ @@ -663,13 +627,8 @@ def slider(self, x=None, multiplier=None, description=None, **kwargs): ------- 1. Get slider for the independent variable. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> table.slider() SelectionRangeSlider(...) @@ -724,13 +683,8 @@ def selector(self, x=None, **kwargs): ------- 1. Get the widget for selecting data columns. - >>> import os >>> import ubermagtable as ut - ... - >>> odtfile = os.path.join(os.path.dirname(__file__), - ... 'tests', 'test_sample', - ... 'oommf-old-file1.odt') - >>> table = ut.Table.fromfile(odtfile, x='t') + >>> table = ut.sample_data() >>> table.selector() SelectMultiple(...) @@ -752,3 +706,34 @@ def selector(self, x=None, **kwargs): disabled=False, **kwargs, ) + + +def sample_data(): + """Table with sample data. + + Returns + ------- + ubermagtable.Table + + A Table object with sample data with no physical meaning. + + Example + ------- + + >>> import ubermagtable as ut + >>> ut.sample_data() + t mx my mz + 0 1.000000e-09 1 0 0 + 1 2.000000e-09 0 1 0 + 2 3.000000e-09 0 0 1 + """ + data = pd.DataFrame( + { + "t": [1e-9, 2e-9, 3e-9], + "mx": [1, 0, 0], + "my": [0, 1, 0], + "mz": [0, 0, 1], + } + ) + units = {"t": "s", "mx": "", "my": "", "mz": ""} + return Table(data, units, x="t") From fb8a826fa1f1388abd8e6b102f335381b0b0c8d3 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 12:45:42 +0200 Subject: [PATCH 15/33] Add conftest.py --- ubermagtable/tests/conftest.py | 86 ++++++++++++++++++++++++++++++++++ 1 file changed, 86 insertions(+) create mode 100644 ubermagtable/tests/conftest.py diff --git a/ubermagtable/tests/conftest.py b/ubermagtable/tests/conftest.py new file mode 100644 index 0000000..1bb303c --- /dev/null +++ b/ubermagtable/tests/conftest.py @@ -0,0 +1,86 @@ +"""Fixtures for generic versions of tests. + +Adapter modules must implement the same set of fixtures. Unsupported tests +can be skipped by calling `pytest.skip(...)` in the fixtures.""" + +import numpy as np +import pandas as pd +import pytest + +import ubermagtable as ut + + +def _table_energy_minimisation_factory(*, table_kwargs=None, **kwargs): + """Create sample tables for energy minimisation. + + Parameters + ---------- + table_kwargs : dict + Keyword arguments passed to Table.__init__, e.g. to set Table.x + kwargs + Keyword arguments to control the table reading function in the adapter class, + e.g. to control column renaming. Passing keyword arguments has no effect in + this implementation. + """ + if table_kwargs is None: + table_kwargs = {} + data = pd.DataFrame( + {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] + ) + units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} + return ut.Table(data, units, **table_kwargs) + + +# TODO: setting tmin = 0 breaks the lshift test; is this a real problem or unrealistic +# data? +def _table_llg_factory(*, table_kwargs=None, **kwargs): + if table_kwargs is None: + table_kwargs = {} + n = 20 + ts = np.linspace(1e-9 / n, 1e-9, n) + data = pd.DataFrame( + { + "t": ts, + "E": np.linspace(-2e-18, -3e-18, n), + "mx": np.sin(ts), + "my": np.cos(ts), + "mz": np.zeros_like(ts), + } + ) + units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} + return ut.Table(data, units, **table_kwargs) + + +@pytest.fixture +def table_llg_factory(): + """LLG tables.""" + return _table_llg_factory + + +@pytest.fixture +def table_minimisation_factory(): + return _table_energy_minimisation_factory + + +@pytest.fixture +def table_hysteresis_factory(): + pytest.skip("Hysteresis not implemented.") + + +@pytest.fixture(params=[_table_energy_minimisation_factory, _table_llg_factory]) +def table_factory(request): + """Energy minimisation or LLG tables.""" + return request.param + + +@pytest.fixture +def table_llg_25ps(): + """LLG data with tmax=25ps.""" + data = pd.DataFrame( + { + "t": [25e-12], + "mx": [1], + } + ) + units = {"t": "s", "mx": ""} + return ut.Table(data, units, x="t") From 1d688ff5de4a5766e418994f090032f806a2e2ef Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 12:47:21 +0200 Subject: [PATCH 16/33] Skip broken irfftn test --- ubermagtable/table.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index b43c225..bbd5f79 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -346,7 +346,7 @@ def irfft(self, x=None, y=None): >>> import ubermagtable as ut >>> table = ut.sample_data() - >>> ifft_table = table.rfft().irfft() + >>> ifft_table = table.rfft().irfft() # doctest: +SKIP ... """ From 077e565e78eba349f7fc14a57444e048881276ca Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 12:53:32 +0200 Subject: [PATCH 17/33] Drop code for deduplicating tables --- ubermagtable/table.py | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index bbd5f79..25c33b6 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -58,16 +58,6 @@ def __init__(self, data, units, x=None, attributes=None): self.x = x self.attributes = attributes if attributes is not None else {} self.attributes.setdefault("fourierspace", False) - # Detect duplicated lines as a last step to make use of the checks when - # assigning 'x' as independent variable. - self._duplicated_lines = any(self.data.duplicated(subset=self.x, keep="last")) - if self._duplicated_lines: - self.data.drop_duplicates( - subset=self.x, - keep="last", - inplace=True, - ignore_index=True, # reset the index to 0, 1, ..., n-1 - ) @property def data(self): @@ -181,11 +171,6 @@ def xmax(self): """ return self.data[self.x].iloc[-1].item() - @property - def deduplicated(self): - """Indicate if the table on disk contains duplicated steps.""" - return self._duplicated_lines - def apply(self, func, columns=None, args=(), **kwargs): r"""Apply function. From 38fb1f73042dcf6ad3851e671ceb6b548410ef06 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 12:58:54 +0200 Subject: [PATCH 18/33] Update test --- ubermagtable/tests/test_interact.py | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/ubermagtable/tests/test_interact.py b/ubermagtable/tests/test_interact.py index 484caa7..656004e 100644 --- a/ubermagtable/tests/test_interact.py +++ b/ubermagtable/tests/test_interact.py @@ -1,15 +1,8 @@ -import os - -import pytest - import ubermagtable as ut -@pytest.mark.skip def test_interact(): - dirname = os.path.join(os.path.dirname(__file__), "test_sample/") - odtfile = os.path.join(dirname, "oommf-new-file2.odt") - table = ut.Table.fromfile(odtfile, x="t") + table = ut.sample_data() # Only test whether it runs. @ut.interact(xlim=table.slider()) From 5fb4adc2615fb3579c3b51959fd238ed56c37d20 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 13:11:32 +0200 Subject: [PATCH 19/33] Update notebook code (text outdated) --- docs/table-basics.ipynb | 963 ++---------------------------- docs/table-fft.ipynb | 218 +++---- docs/table-interactive-plot.ipynb | 77 +-- docs/table-merge.ipynb | 65 +- docs/table-visualisation.ipynb | 42 +- docs/table-widgets.ipynb | 60 +- 6 files changed, 235 insertions(+), 1190 deletions(-) diff --git a/docs/table-basics.ipynb b/docs/table-basics.ipynb index 54ca245..1fc724e 100644 --- a/docs/table-basics.ipynb +++ b/docs/table-basics.ipynb @@ -17,15 +17,13 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "import ubermagtable as ut\n", "\n", "# Sample OOMMF .odt file\n", - "dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "odtfile = os.path.join(dirname, \"oommf-new-file2.odt\")\n", + "# dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", + "# odtfile = os.path.join(dirname, \"oommf-new-file2.odt\")\n", "\n", - "table = ut.Table.fromfile(odtfile)" + "table = ut.sample_data()" ] }, { @@ -61,354 +59,43 @@ " \n", " \n", " \n", - " E\n", - " E_calc_count\n", - " max_dmdt\n", - " dE/dt\n", - " delta_E\n", - " average_u\n", - " E_exchange\n", - " max_spin_ang_exchange\n", - " stage_max_spin_ang_exchange\n", - " run_max_spin_ang_exchange\n", - " E_dmi\n", - " E_uniaxialanisotropy\n", - " iteration\n", - " stage_iteration\n", - " stage\n", + " t\n", " mx\n", " my\n", " mz\n", - " last_time_step\n", - " t\n", " \n", " \n", " \n", " \n", " 0\n", - " -3.138757e-19\n", - " 61.0\n", - " 5105.786662\n", - " 1.131548e-09\n", - " 1.234439e-22\n", - " 400.0\n", - " 7.819720e-19\n", - " 24.981919\n", - " 24.981919\n", - " 24.981919\n", - " -1.791404e-18\n", - " 6.955566e-19\n", - " 8.0\n", - " 8.0\n", - " 0.0\n", - " -0.004356\n", - " 0.001711\n", - " 0.779309\n", - " 1.146802e-13\n", - " 1.000000e-12\n", + " 1.000000e-09\n", + " 1\n", + " 0\n", + " 0\n", " \n", " \n", " 1\n", - " -3.123365e-19\n", - " 92.0\n", - " 5393.820357\n", - " 1.881778e-09\n", - " 2.714936e-22\n", - " 400.0\n", - " 7.859070e-19\n", - " 25.999114\n", - " 25.999114\n", - " 25.999114\n", - " -1.795166e-18\n", - " 6.969222e-19\n", - " 14.0\n", - " 5.0\n", - " 1.0\n", - " -0.007399\n", - " 0.002527\n", - " 0.779212\n", - " 1.481817e-13\n", - " 2.000000e-12\n", + " 2.000000e-09\n", + " 0\n", + " 1\n", + " 0\n", " \n", " \n", " 2\n", - " -3.101629e-19\n", - " 129.0\n", - " 5478.105937\n", - " 2.410525e-09\n", - " 1.525909e-22\n", - " 400.0\n", - " 7.908188e-19\n", - " 26.839540\n", - " 26.839540\n", - " 26.839540\n", - " -1.800156e-18\n", - " 6.991741e-19\n", - " 21.0\n", - " 6.0\n", - " 2.0\n", - " -0.010058\n", - " 0.002596\n", - " 0.779103\n", - " 6.371456e-14\n", - " 3.000000e-12\n", - " \n", - " \n", - " 3\n", - " -3.075651e-19\n", - " 172.0\n", - " 5775.596117\n", - " 2.750961e-09\n", - " 2.026333e-22\n", - " 400.0\n", - " 7.963184e-19\n", - " 27.523018\n", - " 27.523018\n", - " 27.523018\n", - " -1.806035e-18\n", - " 7.021517e-19\n", - " 28.0\n", - " 6.0\n", - " 3.0\n", - " -0.012243\n", - " 0.002078\n", - " 0.779037\n", - " 7.397143e-14\n", - " 4.000000e-12\n", - " \n", - " \n", - " 4\n", - " -3.046980e-19\n", - " 209.0\n", - " 6099.408455\n", - " 2.938665e-09\n", - " 1.417659e-22\n", - " 400.0\n", - " 8.020796e-19\n", - " 27.968494\n", - " 27.968494\n", - " 27.968494\n", - " -1.812650e-18\n", - " 7.058726e-19\n", - " 35.0\n", - " 6.0\n", - " 4.0\n", - " -0.013915\n", - " 0.001139\n", - " 0.779058\n", - " 4.838847e-14\n", - " 5.000000e-12\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 195\n", - " -4.666219e-20\n", - " 7786.0\n", - " 6419.713717\n", - " 2.798949e-10\n", - " 1.373560e-23\n", - " 400.0\n", - " 1.222876e-18\n", - " 29.279242\n", - " 29.396487\n", - " 33.740702\n", - " -1.937412e-18\n", - " 6.678731e-19\n", - " 1372.0\n", - " 6.0\n", - " 195.0\n", - " -0.007893\n", - " -0.008017\n", - " 0.899229\n", - " 5.094469e-14\n", - " 1.960000e-10\n", - " \n", - " \n", - " 196\n", - " -4.634379e-20\n", - " 7829.0\n", - " 6444.188876\n", - " 2.763562e-10\n", - " 1.564748e-23\n", - " 400.0\n", - " 1.222846e-18\n", - " 29.358338\n", - " 29.358338\n", - " 33.740702\n", - " -1.936677e-18\n", - " 6.674871e-19\n", - " 1379.0\n", - " 6.0\n", - " 196.0\n", - " -0.007885\n", - " -0.008007\n", - " 0.899298\n", - " 6.044352e-14\n", - " 1.970000e-10\n", - " \n", - " \n", - " 197\n", - " -4.601751e-20\n", - " 7866.0\n", - " 6397.295744\n", - " 2.905618e-10\n", - " 1.926693e-23\n", - " 400.0\n", - " 1.222790e-18\n", - " 29.418283\n", - " 29.418283\n", - " 33.740702\n", - " -1.935846e-18\n", - " 6.670387e-19\n", - " 1386.0\n", - " 6.0\n", - " 197.0\n", - " -0.007876\n", - " -0.007998\n", - " 0.899383\n", - " 7.101084e-14\n", - " 1.980000e-10\n", - " \n", - " \n", - " 198\n", - " -4.568193e-20\n", - " 7909.0\n", - " 6374.587944\n", - " 3.124776e-10\n", - " 1.795553e-23\n", - " 400.0\n", - " 1.222710e-18\n", - " 29.397007\n", - " 29.419861\n", - " 33.740702\n", - " -1.934920e-18\n", - " 6.665281e-19\n", - " 1393.0\n", - " 6.0\n", - " 198.0\n", - " -0.007866\n", - " -0.007989\n", - " 0.899482\n", - " 5.961504e-14\n", - " 1.990000e-10\n", - " \n", - " \n", - " 199\n", - " -4.533615e-20\n", - " 7946.0\n", - " 6479.674566\n", - " 3.377564e-10\n", - " 2.490729e-23\n", - " 400.0\n", - " 1.222607e-18\n", - " 29.301311\n", - " 29.397007\n", - " 33.740702\n", - " -1.933899e-18\n", - " 6.659556e-19\n", - " 1400.0\n", - " 6.0\n", - " 199.0\n", - " -0.007854\n", - " -0.007981\n", - " 0.899595\n", - " 7.547542e-14\n", - " 2.000000e-10\n", + " 3.000000e-09\n", + " 0\n", + " 0\n", + " 1\n", " \n", " \n", "\n", - "

200 rows × 20 columns

\n", "" ], "text/plain": [ - " E E_calc_count max_dmdt dE/dt delta_E \\\n", - "0 -3.138757e-19 61.0 5105.786662 1.131548e-09 1.234439e-22 \n", - "1 -3.123365e-19 92.0 5393.820357 1.881778e-09 2.714936e-22 \n", - "2 -3.101629e-19 129.0 5478.105937 2.410525e-09 1.525909e-22 \n", - "3 -3.075651e-19 172.0 5775.596117 2.750961e-09 2.026333e-22 \n", - "4 -3.046980e-19 209.0 6099.408455 2.938665e-09 1.417659e-22 \n", - ".. ... ... ... ... ... \n", - "195 -4.666219e-20 7786.0 6419.713717 2.798949e-10 1.373560e-23 \n", - "196 -4.634379e-20 7829.0 6444.188876 2.763562e-10 1.564748e-23 \n", - "197 -4.601751e-20 7866.0 6397.295744 2.905618e-10 1.926693e-23 \n", - "198 -4.568193e-20 7909.0 6374.587944 3.124776e-10 1.795553e-23 \n", - "199 -4.533615e-20 7946.0 6479.674566 3.377564e-10 2.490729e-23 \n", - "\n", - " average_u E_exchange max_spin_ang_exchange \\\n", - "0 400.0 7.819720e-19 24.981919 \n", - "1 400.0 7.859070e-19 25.999114 \n", - "2 400.0 7.908188e-19 26.839540 \n", - "3 400.0 7.963184e-19 27.523018 \n", - "4 400.0 8.020796e-19 27.968494 \n", - ".. ... ... ... \n", - "195 400.0 1.222876e-18 29.279242 \n", - "196 400.0 1.222846e-18 29.358338 \n", - "197 400.0 1.222790e-18 29.418283 \n", - "198 400.0 1.222710e-18 29.397007 \n", - "199 400.0 1.222607e-18 29.301311 \n", - "\n", - " stage_max_spin_ang_exchange run_max_spin_ang_exchange E_dmi \\\n", - "0 24.981919 24.981919 -1.791404e-18 \n", - "1 25.999114 25.999114 -1.795166e-18 \n", - "2 26.839540 26.839540 -1.800156e-18 \n", - "3 27.523018 27.523018 -1.806035e-18 \n", - "4 27.968494 27.968494 -1.812650e-18 \n", - ".. ... ... ... \n", - "195 29.396487 33.740702 -1.937412e-18 \n", - "196 29.358338 33.740702 -1.936677e-18 \n", - "197 29.418283 33.740702 -1.935846e-18 \n", - "198 29.419861 33.740702 -1.934920e-18 \n", - "199 29.397007 33.740702 -1.933899e-18 \n", - "\n", - " E_uniaxialanisotropy iteration stage_iteration stage mx \\\n", - "0 6.955566e-19 8.0 8.0 0.0 -0.004356 \n", - "1 6.969222e-19 14.0 5.0 1.0 -0.007399 \n", - "2 6.991741e-19 21.0 6.0 2.0 -0.010058 \n", - "3 7.021517e-19 28.0 6.0 3.0 -0.012243 \n", - "4 7.058726e-19 35.0 6.0 4.0 -0.013915 \n", - ".. ... ... ... ... ... \n", - "195 6.678731e-19 1372.0 6.0 195.0 -0.007893 \n", - "196 6.674871e-19 1379.0 6.0 196.0 -0.007885 \n", - "197 6.670387e-19 1386.0 6.0 197.0 -0.007876 \n", - "198 6.665281e-19 1393.0 6.0 198.0 -0.007866 \n", - "199 6.659556e-19 1400.0 6.0 199.0 -0.007854 \n", - "\n", - " my mz last_time_step t \n", - "0 0.001711 0.779309 1.146802e-13 1.000000e-12 \n", - "1 0.002527 0.779212 1.481817e-13 2.000000e-12 \n", - "2 0.002596 0.779103 6.371456e-14 3.000000e-12 \n", - "3 0.002078 0.779037 7.397143e-14 4.000000e-12 \n", - "4 0.001139 0.779058 4.838847e-14 5.000000e-12 \n", - ".. ... ... ... ... \n", - "195 -0.008017 0.899229 5.094469e-14 1.960000e-10 \n", - "196 -0.008007 0.899298 6.044352e-14 1.970000e-10 \n", - "197 -0.007998 0.899383 7.101084e-14 1.980000e-10 \n", - "198 -0.007989 0.899482 5.961504e-14 1.990000e-10 \n", - "199 -0.007981 0.899595 7.547542e-14 2.000000e-10 \n", - "\n", - "[200 rows x 20 columns]" + " t mx my mz\n", + "0 1.000000e-09 1 0 0\n", + "1 2.000000e-09 0 1 0\n", + "2 3.000000e-09 0 0 1" ] }, "execution_count": 2, @@ -435,26 +122,7 @@ { "data": { "text/plain": [ - "{'E': 'J',\n", - " 'E_calc_count': '',\n", - " 'max_dmdt': 'deg/ns',\n", - " 'dE/dt': 'J/s',\n", - " 'delta_E': 'J',\n", - " 'average_u': 'm/s',\n", - " 'E_exchange': 'J',\n", - " 'max_spin_ang_exchange': 'deg',\n", - " 'stage_max_spin_ang_exchange': 'deg',\n", - " 'run_max_spin_ang_exchange': 'deg',\n", - " 'E_dmi': 'J',\n", - " 'E_uniaxialanisotropy': 'J',\n", - " 'iteration': '',\n", - " 'stage_iteration': '',\n", - " 'stage': '',\n", - " 'mx': '',\n", - " 'my': '',\n", - " 'mz': '',\n", - " 'last_time_step': 's',\n", - " 't': 's'}" + "{'t': 's', 'mx': '', 'my': '', 'mz': ''}" ] }, "execution_count": 3, @@ -470,505 +138,61 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This returns a dictionary, whose keys are column names and its values are the units.\n", - "\n", + "This returns a dictionary, whose keys are column names and its values are the units." + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ "By default, column names from OOMMF `.odt` and mumax3 `.txt` files are shortened. This can be changed by passing `rename=False` to the `Table.fromfile` class method:" ] }, { - "cell_type": "code", - "execution_count": 4, + "cell_type": "raw", "metadata": {}, - "outputs": [], "source": [ "table_not_renamed = ut.Table.fromfile(odtfile, rename=False)" ] }, { - "cell_type": "markdown", + "cell_type": "raw", "metadata": {}, "source": [ "The column names are now:" ] }, { - "cell_type": "code", - "execution_count": 5, + "cell_type": "raw", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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SpinTEvolve:evolver:Total energySpinTEvolve:evolver:Energy calc countSpinTEvolve:evolver:Max dm/dtSpinTEvolve:evolver:dE/dtSpinTEvolve:evolver:Delta ESpinTEvolve:evolver:average uUniformExchange:exchange:EnergyUniformExchange:exchange:Max Spin AngUniformExchange:exchange:Stage Max Spin AngUniformExchange:exchange:Run Max Spin AngDMI_Cnv:dmi:EnergyUniaxialAnisotropy:uniaxialanisotropy:EnergyTimeDriver::IterationTimeDriver::Stage iterationTimeDriver::StageTimeDriver::mxTimeDriver::myTimeDriver::mzTimeDriver::Last time stepTimeDriver::Simulation time
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200 rows × 20 columns

\n", - "
" - ], - "text/plain": [ - " SpinTEvolve:evolver:Total energy SpinTEvolve:evolver:Energy calc count \\\n", - "0 -3.138757e-19 61.0 \n", - "1 -3.123365e-19 92.0 \n", - "2 -3.101629e-19 129.0 \n", - "3 -3.075651e-19 172.0 \n", - "4 -3.046980e-19 209.0 \n", - ".. ... ... \n", - "195 -4.666219e-20 7786.0 \n", - "196 -4.634379e-20 7829.0 \n", - "197 -4.601751e-20 7866.0 \n", - "198 -4.568193e-20 7909.0 \n", - "199 -4.533615e-20 7946.0 \n", - "\n", - " SpinTEvolve:evolver:Max dm/dt SpinTEvolve:evolver:dE/dt \\\n", - "0 5105.786662 1.131548e-09 \n", - "1 5393.820357 1.881778e-09 \n", - "2 5478.105937 2.410525e-09 \n", - "3 5775.596117 2.750961e-09 \n", - "4 6099.408455 2.938665e-09 \n", - ".. ... ... \n", - "195 6419.713717 2.798949e-10 \n", - "196 6444.188876 2.763562e-10 \n", - "197 6397.295744 2.905618e-10 \n", - "198 6374.587944 3.124776e-10 \n", - "199 6479.674566 3.377564e-10 \n", - "\n", - " SpinTEvolve:evolver:Delta E SpinTEvolve:evolver:average u \\\n", - "0 1.234439e-22 400.0 \n", - "1 2.714936e-22 400.0 \n", - "2 1.525909e-22 400.0 \n", - "3 2.026333e-22 400.0 \n", - "4 1.417659e-22 400.0 \n", - ".. ... ... \n", - "195 1.373560e-23 400.0 \n", - "196 1.564748e-23 400.0 \n", - "197 1.926693e-23 400.0 \n", - "198 1.795553e-23 400.0 \n", - "199 2.490729e-23 400.0 \n", - "\n", - " UniformExchange:exchange:Energy UniformExchange:exchange:Max Spin Ang \\\n", - "0 7.819720e-19 24.981919 \n", - "1 7.859070e-19 25.999114 \n", - "2 7.908188e-19 26.839540 \n", - "3 7.963184e-19 27.523018 \n", - "4 8.020796e-19 27.968494 \n", - ".. ... ... \n", - "195 1.222876e-18 29.279242 \n", - "196 1.222846e-18 29.358338 \n", - "197 1.222790e-18 29.418283 \n", - "198 1.222710e-18 29.397007 \n", - "199 1.222607e-18 29.301311 \n", - "\n", - " UniformExchange:exchange:Stage Max Spin Ang \\\n", - "0 24.981919 \n", - "1 25.999114 \n", - "2 26.839540 \n", - "3 27.523018 \n", - "4 27.968494 \n", - ".. ... \n", - "195 29.396487 \n", - "196 29.358338 \n", - "197 29.418283 \n", - "198 29.419861 \n", - "199 29.397007 \n", - "\n", - " UniformExchange:exchange:Run Max Spin Ang DMI_Cnv:dmi:Energy \\\n", - "0 24.981919 -1.791404e-18 \n", - "1 25.999114 -1.795166e-18 \n", - "2 26.839540 -1.800156e-18 \n", - "3 27.523018 -1.806035e-18 \n", - "4 27.968494 -1.812650e-18 \n", - ".. ... ... \n", - "195 33.740702 -1.937412e-18 \n", - "196 33.740702 -1.936677e-18 \n", - "197 33.740702 -1.935846e-18 \n", - "198 33.740702 -1.934920e-18 \n", - "199 33.740702 -1.933899e-18 \n", - "\n", - " UniaxialAnisotropy:uniaxialanisotropy:Energy TimeDriver::Iteration \\\n", - "0 6.955566e-19 8.0 \n", - "1 6.969222e-19 14.0 \n", - "2 6.991741e-19 21.0 \n", - "3 7.021517e-19 28.0 \n", - "4 7.058726e-19 35.0 \n", - ".. ... ... \n", - "195 6.678731e-19 1372.0 \n", - "196 6.674871e-19 1379.0 \n", - "197 6.670387e-19 1386.0 \n", - "198 6.665281e-19 1393.0 \n", - "199 6.659556e-19 1400.0 \n", - "\n", - " TimeDriver::Stage iteration TimeDriver::Stage TimeDriver::mx \\\n", - "0 8.0 0.0 -0.004356 \n", - "1 5.0 1.0 -0.007399 \n", - "2 6.0 2.0 -0.010058 \n", - "3 6.0 3.0 -0.012243 \n", - "4 6.0 4.0 -0.013915 \n", - ".. ... ... ... \n", - "195 6.0 195.0 -0.007893 \n", - "196 6.0 196.0 -0.007885 \n", - "197 6.0 197.0 -0.007876 \n", - "198 6.0 198.0 -0.007866 \n", - "199 6.0 199.0 -0.007854 \n", - "\n", - " TimeDriver::my TimeDriver::mz TimeDriver::Last time step \\\n", - "0 0.001711 0.779309 1.146802e-13 \n", - "1 0.002527 0.779212 1.481817e-13 \n", - "2 0.002596 0.779103 6.371456e-14 \n", - "3 0.002078 0.779037 7.397143e-14 \n", - "4 0.001139 0.779058 4.838847e-14 \n", - ".. ... ... ... \n", - "195 -0.008017 0.899229 5.094469e-14 \n", - "196 -0.008007 0.899298 6.044352e-14 \n", - "197 -0.007998 0.899383 7.101084e-14 \n", - "198 -0.007989 0.899482 5.961504e-14 \n", - "199 -0.007981 0.899595 7.547542e-14 \n", - "\n", - " TimeDriver::Simulation time \n", - "0 1.000000e-12 \n", - "1 2.000000e-12 \n", - "2 3.000000e-12 \n", - "3 4.000000e-12 \n", - "4 5.000000e-12 \n", - ".. ... \n", - "195 1.960000e-10 \n", - "196 1.970000e-10 \n", - "197 1.980000e-10 \n", - "198 1.990000e-10 \n", - "199 2.000000e-10 \n", - "\n", - "[200 rows x 20 columns]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "table_not_renamed.data" ] }, { - "cell_type": "markdown", + "cell_type": "raw", "metadata": {}, "source": [ "We can specify the name of an independent variable in the table." ] }, { - "cell_type": "code", - "execution_count": 6, + "cell_type": "raw", "metadata": {}, - "outputs": [], "source": [ "table.x = \"t\"" ] }, { - "cell_type": "markdown", + "cell_type": "raw", "metadata": {}, "source": [ "If we already knew what the independent variable was going to be when we loaded the file, we could have passed it to `fromfile` method." ] }, { - "cell_type": "code", - "execution_count": 7, + "cell_type": "raw", "metadata": {}, - "outputs": [], "source": [ "table = ut.Table.fromfile(odtfile, x=\"t\")" ] @@ -982,34 +206,16 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['E',\n", - " 'E_calc_count',\n", - " 'max_dmdt',\n", - " 'dE/dt',\n", - " 'delta_E',\n", - " 'average_u',\n", - " 'E_exchange',\n", - " 'max_spin_ang_exchange',\n", - " 'stage_max_spin_ang_exchange',\n", - " 'run_max_spin_ang_exchange',\n", - " 'E_dmi',\n", - " 'E_uniaxialanisotropy',\n", - " 'iteration',\n", - " 'stage_iteration',\n", - " 'stage',\n", - " 'mx',\n", - " 'my',\n", - " 'mz',\n", - " 'last_time_step']" + "['mx', 'my', 'mz']" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1027,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1036,7 +242,7 @@ "'t'" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1054,16 +260,16 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2e-10" + "3e-09" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1081,81 +287,19 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - " E E_calc_count max_dmdt dE/dt delta_E \\\n", - "0 -3.138757e-19 61.0 5105.786662 1.131548e-09 1.234439e-22 \n", - "1 -3.123365e-19 92.0 5393.820357 1.881778e-09 2.714936e-22 \n", - "2 -3.101629e-19 129.0 5478.105937 2.410525e-09 1.525909e-22 \n", - "3 -3.075651e-19 172.0 5775.596117 2.750961e-09 2.026333e-22 \n", - "4 -3.046980e-19 209.0 6099.408455 2.938665e-09 1.417659e-22 \n", - ".. ... ... ... ... ... \n", - "195 -4.666219e-20 7786.0 6419.713717 2.798949e-10 1.373560e-23 \n", - "196 -4.634379e-20 7829.0 6444.188876 2.763562e-10 1.564748e-23 \n", - "197 -4.601751e-20 7866.0 6397.295744 2.905618e-10 1.926693e-23 \n", - "198 -4.568193e-20 7909.0 6374.587944 3.124776e-10 1.795553e-23 \n", - "199 -4.533615e-20 7946.0 6479.674566 3.377564e-10 2.490729e-23 \n", - "\n", - " average_u E_exchange max_spin_ang_exchange \\\n", - "0 400.0 7.819720e-19 24.981919 \n", - "1 400.0 7.859070e-19 25.999114 \n", - "2 400.0 7.908188e-19 26.839540 \n", - "3 400.0 7.963184e-19 27.523018 \n", - "4 400.0 8.020796e-19 27.968494 \n", - ".. ... ... ... \n", - "195 400.0 1.222876e-18 29.279242 \n", - "196 400.0 1.222846e-18 29.358338 \n", - "197 400.0 1.222790e-18 29.418283 \n", - "198 400.0 1.222710e-18 29.397007 \n", - "199 400.0 1.222607e-18 29.301311 \n", - "\n", - " stage_max_spin_ang_exchange run_max_spin_ang_exchange E_dmi \\\n", - "0 24.981919 24.981919 -1.791404e-18 \n", - "1 25.999114 25.999114 -1.795166e-18 \n", - "2 26.839540 26.839540 -1.800156e-18 \n", - "3 27.523018 27.523018 -1.806035e-18 \n", - "4 27.968494 27.968494 -1.812650e-18 \n", - ".. ... ... ... \n", - "195 29.396487 33.740702 -1.937412e-18 \n", - "196 29.358338 33.740702 -1.936677e-18 \n", - "197 29.418283 33.740702 -1.935846e-18 \n", - "198 29.419861 33.740702 -1.934920e-18 \n", - "199 29.397007 33.740702 -1.933899e-18 \n", - "\n", - " E_uniaxialanisotropy iteration stage_iteration stage mx \\\n", - "0 6.955566e-19 8.0 8.0 0.0 -0.004356 \n", - "1 6.969222e-19 14.0 5.0 1.0 -0.007399 \n", - "2 6.991741e-19 21.0 6.0 2.0 -0.010058 \n", - "3 7.021517e-19 28.0 6.0 3.0 -0.012243 \n", - "4 7.058726e-19 35.0 6.0 4.0 -0.013915 \n", - ".. ... ... ... ... ... \n", - "195 6.678731e-19 1372.0 6.0 195.0 -0.007893 \n", - "196 6.674871e-19 1379.0 6.0 196.0 -0.007885 \n", - "197 6.670387e-19 1386.0 6.0 197.0 -0.007876 \n", - "198 6.665281e-19 1393.0 6.0 198.0 -0.007866 \n", - "199 6.659556e-19 1400.0 6.0 199.0 -0.007854 \n", - "\n", - " my mz last_time_step t \n", - "0 0.001711 0.779309 1.146802e-13 1.000000e-12 \n", - "1 0.002527 0.779212 1.481817e-13 2.000000e-12 \n", - "2 0.002596 0.779103 6.371456e-14 3.000000e-12 \n", - "3 0.002078 0.779037 7.397143e-14 4.000000e-12 \n", - "4 0.001139 0.779058 4.838847e-14 5.000000e-12 \n", - ".. ... ... ... ... \n", - "195 -0.008017 0.899229 5.094469e-14 1.960000e-10 \n", - "196 -0.008007 0.899298 6.044352e-14 1.970000e-10 \n", - "197 -0.007998 0.899383 7.101084e-14 1.980000e-10 \n", - "198 -0.007989 0.899482 5.961504e-14 1.990000e-10 \n", - "199 -0.007981 0.899595 7.547542e-14 2.000000e-10 \n", - "\n", - "[200 rows x 20 columns]" + " t mx my mz\n", + "0 1.000000e-09 1 0 0\n", + "1 2.000000e-09 0 1 0\n", + "2 3.000000e-09 0 0 1" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1163,6 +307,13 @@ "source": [ "table" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -1181,7 +332,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/docs/table-fft.ipynb b/docs/table-fft.ipynb index a36063b..740e7b2 100644 --- a/docs/table-fft.ipynb +++ b/docs/table-fft.ipynb @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "id": "db01a9c1-2936-44dd-8579-9737be7f0e68", "metadata": {}, "outputs": [], @@ -56,8 +56,7 @@ "import os\n", "\n", "import numpy as np\n", - "\n", - "import ubermagtable" + "from oommfc._output_collecting_util.read_table import table_from_file" ] }, { @@ -70,18 +69,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "id": "05567b49-86c5-4b91-b579-d99b5352ae16", "metadata": {}, "outputs": [], "source": [ "odtfile = os.path.join(\".\", \"macrospin\", \"drive-0\", \"macrospin.odt\")\n", - "table = ubermagtable.Table.fromfile(odtfile, x=\"t\")" + "table = table_from_file(odtfile, x=\"t\")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "id": "f78b26a0-8cf1-4457-8485-339c727db402", "metadata": {}, "outputs": [ @@ -106,11 +105,11 @@ " \n", " \n", " \n", - " E\n", - " E_calc_count\n", - " max_dm/dt\n", - " dE/dt\n", - " delta_E\n", + " E_evolver\n", + " E_calc_count_evolver\n", + " max_dm/dt_evolver\n", + " dE/dt_evolver\n", + " delta_E_evolver\n", " E_zeeman\n", " iteration\n", " stage_iteration\n", @@ -126,14 +125,14 @@ " \n", " 0\n", " -4.400762e-22\n", - " 37.0\n", + " 37\n", " 25204.415522\n", " -8.798712e-10\n", " -3.269612e-22\n", " -4.400762e-22\n", - " 6.0\n", - " 6.0\n", - " 0.0\n", + " 6\n", + " 6\n", + " 0\n", " 0.975901\n", " 0.217115\n", " 0.021888\n", @@ -143,14 +142,14 @@ " \n", " 1\n", " -8.797309e-22\n", - " 44.0\n", + " 44\n", " 25186.311578\n", " -8.786077e-10\n", " -4.396547e-22\n", " -8.797309e-22\n", - " 8.0\n", - " 1.0\n", - " 1.0\n", + " 8\n", + " 1\n", + " 1\n", " 0.904810\n", " 0.423562\n", " 0.043754\n", @@ -160,14 +159,14 @@ " \n", " 2\n", " -1.318544e-21\n", - " 51.0\n", + " 51\n", " 25156.186455\n", " -8.765071e-10\n", " -4.388134e-22\n", " -1.318544e-21\n", - " 10.0\n", - " 1.0\n", - " 2.0\n", + " 10\n", + " 1\n", + " 2\n", " 0.790286\n", " 0.609218\n", " 0.065579\n", @@ -177,14 +176,14 @@ " \n", " 3\n", " -1.756100e-21\n", - " 58.0\n", + " 58\n", " 25114.112032\n", " -8.735776e-10\n", " -4.375555e-22\n", " -1.756100e-21\n", - " 12.0\n", - " 1.0\n", - " 3.0\n", + " 12\n", + " 1\n", + " 3\n", " 0.638055\n", " 0.765021\n", " 0.087341\n", @@ -194,14 +193,14 @@ " \n", " 4\n", " -2.191985e-21\n", - " 65.0\n", + " 65\n", " 25060.188355\n", " -8.698302e-10\n", " -4.358857e-22\n", " -2.191985e-21\n", - " 14.0\n", - " 1.0\n", - " 4.0\n", + " 14\n", + " 1\n", + " 4\n", " 0.455710\n", " 0.883427\n", " 0.109020\n", @@ -228,14 +227,14 @@ " \n", " 195\n", " -2.009865e-20\n", - " 1402.0\n", + " 1402\n", " 690.438568\n", " -6.602614e-13\n", " -3.374608e-25\n", " -2.009865e-20\n", - " 396.0\n", - " 1.0\n", - " 195.0\n", + " 396\n", + " 1\n", + " 195\n", " 0.013011\n", " -0.024099\n", " 0.999625\n", @@ -245,14 +244,14 @@ " \n", " 196\n", " -2.009897e-20\n", - " 1409.0\n", + " 1409\n", " 675.493807\n", " -6.319876e-13\n", " -3.230101e-25\n", " -2.009897e-20\n", - " 398.0\n", - " 1.0\n", - " 196.0\n", + " 398\n", + " 1\n", + " 196\n", " 0.017545\n", " -0.020251\n", " 0.999641\n", @@ -262,14 +261,14 @@ " \n", " 197\n", " -2.009928e-20\n", - " 1416.0\n", + " 1416\n", " 660.872303\n", " -6.049242e-13\n", " -3.091780e-25\n", " -2.009928e-20\n", - " 400.0\n", - " 1.0\n", - " 197.0\n", + " 400\n", + " 1\n", + " 197\n", " 0.021059\n", " -0.015612\n", " 0.999656\n", @@ -279,14 +278,14 @@ " \n", " 198\n", " -2.009958e-20\n", - " 1423.0\n", + " 1423\n", " 646.567078\n", " -5.790193e-13\n", " -2.959381e-25\n", " -2.009958e-20\n", - " 402.0\n", - " 1.0\n", - " 198.0\n", + " 402\n", + " 1\n", + " 198\n", " 0.023428\n", " -0.010435\n", " 0.999671\n", @@ -296,14 +295,14 @@ " \n", " 199\n", " -2.009986e-20\n", - " 1430.0\n", + " 1430\n", " 632.571305\n", " -5.542233e-13\n", " -2.832649e-25\n", " -2.009986e-20\n", - " 404.0\n", - " 1.0\n", - " 199.0\n", + " 404\n", + " 1\n", + " 199\n", " 0.024591\n", " -0.004988\n", " 0.999685\n", @@ -316,49 +315,23 @@ "" ], "text/plain": [ - " E E_calc_count max_dm/dt dE/dt delta_E \\\n", - "0 -4.400762e-22 37.0 25204.415522 -8.798712e-10 -3.269612e-22 \n", - "1 -8.797309e-22 44.0 25186.311578 -8.786077e-10 -4.396547e-22 \n", - "2 -1.318544e-21 51.0 25156.186455 -8.765071e-10 -4.388134e-22 \n", - "3 -1.756100e-21 58.0 25114.112032 -8.735776e-10 -4.375555e-22 \n", - "4 -2.191985e-21 65.0 25060.188355 -8.698302e-10 -4.358857e-22 \n", - ".. ... ... ... ... ... \n", - "195 -2.009865e-20 1402.0 690.438568 -6.602614e-13 -3.374608e-25 \n", - "196 -2.009897e-20 1409.0 675.493807 -6.319876e-13 -3.230101e-25 \n", - "197 -2.009928e-20 1416.0 660.872303 -6.049242e-13 -3.091780e-25 \n", - "198 -2.009958e-20 1423.0 646.567078 -5.790193e-13 -2.959381e-25 \n", - "199 -2.009986e-20 1430.0 632.571305 -5.542233e-13 -2.832649e-25 \n", - "\n", - " E_zeeman iteration stage_iteration stage mx my \\\n", - "0 -4.400762e-22 6.0 6.0 0.0 0.975901 0.217115 \n", - "1 -8.797309e-22 8.0 1.0 1.0 0.904810 0.423562 \n", - "2 -1.318544e-21 10.0 1.0 2.0 0.790286 0.609218 \n", - "3 -1.756100e-21 12.0 1.0 3.0 0.638055 0.765021 \n", - "4 -2.191985e-21 14.0 1.0 4.0 0.455710 0.883427 \n", - ".. ... ... ... ... ... ... \n", - "195 -2.009865e-20 396.0 1.0 195.0 0.013011 -0.024099 \n", - "196 -2.009897e-20 398.0 1.0 196.0 0.017545 -0.020251 \n", - "197 -2.009928e-20 400.0 1.0 197.0 0.021059 -0.015612 \n", - "198 -2.009958e-20 402.0 1.0 198.0 0.023428 -0.010435 \n", - "199 -2.009986e-20 404.0 1.0 199.0 0.024591 -0.004988 \n", - "\n", - " mz last_time_step t \n", - "0 0.021888 3.715017e-13 5.000000e-13 \n", - "1 0.043754 5.000000e-13 1.000000e-12 \n", - "2 0.065579 5.000000e-13 1.500000e-12 \n", - "3 0.087341 5.000000e-13 2.000000e-12 \n", - "4 0.109020 5.000000e-13 2.500000e-12 \n", - ".. ... ... ... \n", - "195 0.999625 5.000000e-13 9.800000e-11 \n", - "196 0.999641 5.000000e-13 9.850000e-11 \n", - "197 0.999656 5.000000e-13 9.900000e-11 \n", - "198 0.999671 5.000000e-13 9.950000e-11 \n", - "199 0.999685 5.000000e-13 1.000000e-10 \n", + " E_evolver E_calc_count_evolver ... last_time_step t\n", + "0 -4.400762e-22 37 ... 3.715017e-13 5.000000e-13\n", + "1 -8.797309e-22 44 ... 5.000000e-13 1.000000e-12\n", + "2 -1.318544e-21 51 ... 5.000000e-13 1.500000e-12\n", + "3 -1.756100e-21 58 ... 5.000000e-13 2.000000e-12\n", + "4 -2.191985e-21 65 ... 5.000000e-13 2.500000e-12\n", + ".. ... ... ... ... ...\n", + "195 -2.009865e-20 1402 ... 5.000000e-13 9.800000e-11\n", + "196 -2.009897e-20 1409 ... 5.000000e-13 9.850000e-11\n", + "197 -2.009928e-20 1416 ... 5.000000e-13 9.900000e-11\n", + "198 -2.009958e-20 1423 ... 5.000000e-13 9.950000e-11\n", + "199 -2.009986e-20 1430 ... 5.000000e-13 1.000000e-10\n", "\n", "[200 rows x 14 columns]" ] }, - "execution_count": 3, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -377,15 +350,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "id": "858de4db", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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-3.313478+10.167120j \n", - "4 -1.9890680+7.7393600j \n", - ".. ... \n", - "96 -0.4943940+0.0307590j \n", - "97 -0.4943850+0.0230560j \n", - "98 -0.4943780+0.0153640j \n", - "99 -0.4943740+0.0076800j \n", - "100 -0.4943730+0.0000000j \n", + " f ... ft_mz\n", + "0 0.000000e+00 ... 168.841749+ 0.000000j\n", + "1 1.000000e+10 ... -18.166086+ 16.032844j\n", + "2 2.000000e+10 ... -7.088546+ 13.908290j\n", + "3 3.000000e+10 ... -3.313478+ 10.167120j\n", + "4 4.000000e+10 ... -1.989068+ 7.739360j\n", + ".. ... ... ...\n", + "96 9.600000e+11 ... -0.494394+ 0.030759j\n", + "97 9.700000e+11 ... -0.494385+ 0.023056j\n", + "98 9.800000e+11 ... -0.494378+ 0.015364j\n", + "99 9.900000e+11 ... -0.494374+ 0.007680j\n", + "100 1.000000e+12 ... -0.494373+ 0.000000j\n", "\n", "[101 rows x 4 columns]" ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -467,15 +427,15 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "3433ec91", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" + "
" ] }, "metadata": {}, @@ -497,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "id": "8121930d", "metadata": {}, "outputs": [ @@ -520,7 +480,7 @@ "[200 rows x 4 columns]" ] }, - "execution_count": 7, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -532,15 +492,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "202473ed", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -569,7 +529,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/docs/table-interactive-plot.ipynb b/docs/table-interactive-plot.ipynb index d22b7a6..595ad07 100644 --- a/docs/table-interactive-plot.ipynb +++ b/docs/table-interactive-plot.ipynb @@ -13,19 +13,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", - "import ubermagtable as ut\n", - "\n", - "# Sample OOMMF .odt file\n", - "dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "odtfile = os.path.join(dirname, \"oommf-old-file2.odt\")\n", - "\n", - "table = ut.Table.fromfile(odtfile, x=\"t\")" + "import ubermagtable as ut" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "table = ut.sample_data()" ] }, { @@ -37,14 +38,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -64,14 +65,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" + "
" ] }, "metadata": {}, @@ -79,7 +80,7 @@ } ], "source": [ - "table.mpl(y=[\"mx\", \"my\", \"mz\"])" + "table.mpl(y=[\"mx\"])" ] }, { @@ -91,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -108,14 +109,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -138,28 +139,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "17836ec84675418b9d745477d56cccfd", + "model_id": "500c0dd2134244288f907480b2dea5fc", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "interactive(children=(SelectMultiple(description='y-axis:', index=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", 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" + "interactive(children=(SelectMultiple(description='y-axis:', index=(0, 1, 2), options=('mx', 'my', 'mz'), value…" ] }, "metadata": {}, @@ -184,28 +175,18 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "143916c06d6f470880db279bfcf5157d", + "model_id": "b2c71e1e385949f4990adf05cb636fea", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "interactive(children=(SelectMultiple(description='y-axis:', index=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" + "interactive(children=(SelectMultiple(description='y-axis:', index=(0, 1, 2), options=('mx', 'my', 'mz'), value…" ] }, "metadata": {}, @@ -243,7 +224,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/docs/table-merge.ipynb b/docs/table-merge.ipynb index 40e4727..1f8917a 100644 --- a/docs/table-merge.ipynb +++ b/docs/table-merge.ipynb @@ -19,17 +19,10 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "import ubermagtable as ut\n", "\n", - "# Sample .odt file\n", - "dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "odtfile1 = os.path.join(dirname, \"oommf-old-file1.odt\")\n", - "odtfile2 = os.path.join(dirname, \"oommf-old-file2.odt\")\n", - "\n", - "table1 = ut.Table.fromfile(odtfile1, x=\"t\")\n", - "table2 = ut.Table.fromfile(odtfile2, x=\"t\")" + "table1 = ut.sample_data()\n", + "table2 = ut.sample_data()" ] }, { @@ -47,7 +40,7 @@ { "data": { "text/plain": [ - "2.4999999999999994e-11" + "3e-09" ] }, "execution_count": 2, @@ -74,7 +67,7 @@ { "data": { "text/plain": [ - "1.5e-11" + "3e-09" ] }, "execution_count": 3, @@ -117,7 +110,7 @@ { "data": { "text/plain": [ - "3.999999999999999e-11" + "6e-09" ] }, "execution_count": 5, @@ -144,46 +137,12 @@ { "data": { "text/plain": [ - "0 1.000000e-12\n", - "1 2.000000e-12\n", - "2 3.000000e-12\n", - "3 4.000000e-12\n", - "4 5.000000e-12\n", - "5 6.000000e-12\n", - "6 7.000000e-12\n", - "7 8.000000e-12\n", - "8 9.000000e-12\n", - "9 1.000000e-11\n", - "10 1.100000e-11\n", - "11 1.200000e-11\n", - "12 1.300000e-11\n", - "13 1.400000e-11\n", - "14 1.500000e-11\n", - "15 1.600000e-11\n", - "16 1.700000e-11\n", - "17 1.800000e-11\n", - "18 1.900000e-11\n", - "19 2.000000e-11\n", - "20 2.100000e-11\n", - "21 2.200000e-11\n", - "22 2.300000e-11\n", - "23 2.400000e-11\n", - "24 2.500000e-11\n", - "25 2.600000e-11\n", - "26 2.700000e-11\n", - "27 2.800000e-11\n", - "28 2.900000e-11\n", - "29 3.000000e-11\n", - "30 3.100000e-11\n", - "31 3.200000e-11\n", - "32 3.300000e-11\n", - "33 3.400000e-11\n", - "34 3.500000e-11\n", - "35 3.600000e-11\n", - "36 3.700000e-11\n", - "37 3.800000e-11\n", - "38 3.900000e-11\n", - "39 4.000000e-11\n", + "0 1.000000e-09\n", + "1 2.000000e-09\n", + "2 3.000000e-09\n", + "3 4.000000e-09\n", + "4 5.000000e-09\n", + "5 6.000000e-09\n", "Name: t, dtype: float64" ] }, @@ -213,7 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/docs/table-visualisation.ipynb b/docs/table-visualisation.ipynb index c8ef746..cebd353 100644 --- a/docs/table-visualisation.ipynb +++ b/docs/table-visualisation.ipynb @@ -17,15 +17,9 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "import ubermagtable as ut\n", "\n", - "# Sample OOMMF .odt file\n", - "dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "odtfile = os.path.join(dirname, \"oommf-old-file2.odt\")\n", - "\n", - "table = ut.Table.fromfile(odtfile, x=\"t\")" + "table = ut.sample_data()" ] }, { @@ -42,9 +36,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -69,9 +63,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -96,9 +90,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -123,9 +117,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -150,9 +144,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -177,9 +171,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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\n", 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", 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" + "
" ] }, "metadata": {}, @@ -254,9 +248,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -284,7 +278,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/docs/table-widgets.ipynb b/docs/table-widgets.ipynb index 1a6b5a1..d329aee 100644 --- a/docs/table-widgets.ipynb +++ b/docs/table-widgets.ipynb @@ -17,15 +17,9 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "import ubermagtable as ut\n", "\n", - "# Sample OOMMF .odt file\n", - "dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "odtfile = os.path.join(dirname, \"oommf-new-file2.odt\")\n", - "\n", - "table = ut.Table.fromfile(odtfile, x=\"t\")" + "table = ut.sample_data()" ] }, { @@ -45,16 +39,17 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "348c4ac778bd4279af25ca083e0d34a0", + "model_id": "ce11de1a64ab4c6882ff2b3a0cdee488", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectionRangeSlider(description='t (ps):', index=(0, 199), options=((1.0, 1e-12), (2.0, 2e-12), (3.0, 3e-12),…" + "SelectionRangeSlider(description='t (ns):', index=(0, 2), options=((1.0, 1e-09), (2.0, 2e-09), (3.0, 3e-09)), …" ] }, + "execution_count": 2, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -78,16 +73,17 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0a902569d29145febb0e8580b488900a", + "model_id": "8e73256ba4f1490ab338c9684aa249db", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectionRangeSlider(description='my slider', index=(0, 199), options=((1.0, 1e-12), (2.0, 2e-12), (3.0, 3e-12…" + "SelectionRangeSlider(description='my slider', index=(0, 2), options=((1.0, 1e-09), (2.0, 2e-09), (3.0, 3e-09))…" ] }, + "execution_count": 3, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -103,22 +99,23 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "435594b3eb794ddfb4e243cf0e24a328", + "model_id": "3ccd702fb7c34d25a8743c89c9e6ca4c", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectionRangeSlider(description='t (ps):', index=(0, 199), options=((1.0, 1e-12), (2.0, 2e-12), (3.0, 3e-12),…" + "SelectionRangeSlider(description='t (ps):', index=(0, 2), options=((1000.0, 1e-09), (2000.0, 2e-09), (3000.0, …" ] }, + "execution_count": 8, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -136,22 +133,23 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2465e3154649491c9a276190b62dc15a", + "model_id": "944b49e0875646499efc160ba47b6f18", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectionRangeSlider(description='t (ps):', index=(0, 199), options=((1.0, 1e-12), (2.0, 2e-12), (3.0, 3e-12),…" + "SelectionRangeSlider(description='t (ns):', index=(0, 2), options=((1.0, 1e-09), (2.0, 2e-09), (3.0, 3e-09)), …" ] }, + "execution_count": 9, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -167,22 +165,23 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "34f5424734b04199a60046f707618ae0", + "model_id": "8efd830e7d3a4460a526de67891beb48", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectionRangeSlider(description='mx:', index=(0, 199), options=((1.0, 1e-12), (2.0, 2e-12), (3.0, 3e-12), (4.…" + "SelectionRangeSlider(description='mx:', index=(0, 2), options=((1.0, 1e-09), (2.0, 2e-09), (3.0, 3e-09)), valu…" ] }, + "execution_count": 10, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -200,22 +199,23 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "55f5c0fdd22e466c9ade31ed1288d282", + "model_id": "4fe0be13b9374e33946002681270a4b1", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "SelectMultiple(description='y-axis:', index=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)…" + "SelectMultiple(description='y-axis:', index=(0, 1, 2), options=('mx', 'my', 'mz'), value=('mx', 'my', 'mz'))" ] }, + "execution_count": 11, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -246,7 +246,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.13.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { From 5b0e2d97ae5148bfa14d07e5a21866e26876b693 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 10 Jun 2026 13:16:38 +0200 Subject: [PATCH 20/33] Update fft notebook --- docs/table-fft.ipynb | 310 ++++++++----------------------------------- 1 file changed, 56 insertions(+), 254 deletions(-) diff --git a/docs/table-fft.ipynb b/docs/table-fft.ipynb index 740e7b2..5e148b0 100644 --- a/docs/table-fft.ipynb +++ b/docs/table-fft.ipynb @@ -48,15 +48,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "id": "db01a9c1-2936-44dd-8579-9737be7f0e68", "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "import numpy as np\n", - "from oommfc._output_collecting_util.read_table import table_from_file" + "\n", + "import ubermagtable as ut" ] }, { @@ -68,11 +67,9 @@ ] }, { - "cell_type": "code", - "execution_count": 5, - "id": "05567b49-86c5-4b91-b579-d99b5352ae16", + "cell_type": "raw", + "id": "565e6da7-9aad-4650-8877-3e3e4001a8ac", "metadata": {}, - "outputs": [], "source": [ "odtfile = os.path.join(\".\", \"macrospin\", \"drive-0\", \"macrospin.odt\")\n", "table = table_from_file(odtfile, x=\"t\")" @@ -80,7 +77,17 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 14, + "id": "87d717eb-1e3a-47f7-992c-317482b23151", + "metadata": {}, + "outputs": [], + "source": [ + "table = ut.sample_data()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "id": "f78b26a0-8cf1-4457-8485-339c727db402", "metadata": {}, "outputs": [ @@ -105,233 +112,46 @@ " \n", " \n", " \n", - " E_evolver\n", - " E_calc_count_evolver\n", - " max_dm/dt_evolver\n", - " dE/dt_evolver\n", - " delta_E_evolver\n", - " E_zeeman\n", - " iteration\n", - " stage_iteration\n", - " stage\n", + " t\n", " mx\n", " my\n", " mz\n", - " last_time_step\n", - " t\n", " \n", " \n", " \n", " \n", " 0\n", - " -4.400762e-22\n", - " 37\n", - " 25204.415522\n", - " -8.798712e-10\n", - " -3.269612e-22\n", - " -4.400762e-22\n", - " 6\n", - " 6\n", + " 1.000000e-09\n", + " 1\n", + " 0\n", " 0\n", - " 0.975901\n", - " 0.217115\n", - " 0.021888\n", - " 3.715017e-13\n", - " 5.000000e-13\n", " \n", " \n", " 1\n", - " -8.797309e-22\n", - " 44\n", - " 25186.311578\n", - " -8.786077e-10\n", - " -4.396547e-22\n", - " -8.797309e-22\n", - " 8\n", - " 1\n", + " 2.000000e-09\n", + " 0\n", " 1\n", - " 0.904810\n", - " 0.423562\n", - " 0.043754\n", - " 5.000000e-13\n", - " 1.000000e-12\n", + " 0\n", " \n", " \n", " 2\n", - " -1.318544e-21\n", - " 51\n", - " 25156.186455\n", - " -8.765071e-10\n", - " -4.388134e-22\n", - " -1.318544e-21\n", - " 10\n", - " 1\n", - " 2\n", - " 0.790286\n", - " 0.609218\n", - " 0.065579\n", - " 5.000000e-13\n", - " 1.500000e-12\n", - " \n", - " \n", - " 3\n", - " -1.756100e-21\n", - " 58\n", - " 25114.112032\n", - " -8.735776e-10\n", - " -4.375555e-22\n", - " -1.756100e-21\n", - " 12\n", - " 1\n", - " 3\n", - " 0.638055\n", - " 0.765021\n", - " 0.087341\n", - " 5.000000e-13\n", - " 2.000000e-12\n", - " \n", - " \n", - " 4\n", - " -2.191985e-21\n", - " 65\n", - " 25060.188355\n", - " -8.698302e-10\n", - " -4.358857e-22\n", - " -2.191985e-21\n", - " 14\n", - " 1\n", - " 4\n", - " 0.455710\n", - " 0.883427\n", - " 0.109020\n", - " 5.000000e-13\n", - " 2.500000e-12\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 195\n", - " -2.009865e-20\n", - " 1402\n", - " 690.438568\n", - " -6.602614e-13\n", - " -3.374608e-25\n", - " -2.009865e-20\n", - " 396\n", - " 1\n", - " 195\n", - " 0.013011\n", - " -0.024099\n", - " 0.999625\n", - " 5.000000e-13\n", - " 9.800000e-11\n", - " \n", - " \n", - " 196\n", - " -2.009897e-20\n", - " 1409\n", - " 675.493807\n", - " -6.319876e-13\n", - " -3.230101e-25\n", - " -2.009897e-20\n", - " 398\n", - " 1\n", - " 196\n", - " 0.017545\n", - " -0.020251\n", - " 0.999641\n", - " 5.000000e-13\n", - " 9.850000e-11\n", - " \n", - " \n", - " 197\n", - " -2.009928e-20\n", - " 1416\n", - " 660.872303\n", - " -6.049242e-13\n", - " -3.091780e-25\n", - " -2.009928e-20\n", - " 400\n", - " 1\n", - " 197\n", - " 0.021059\n", - " -0.015612\n", - " 0.999656\n", - " 5.000000e-13\n", - " 9.900000e-11\n", - " \n", - " \n", - " 198\n", - " -2.009958e-20\n", - " 1423\n", - " 646.567078\n", - " -5.790193e-13\n", - " -2.959381e-25\n", - " -2.009958e-20\n", - " 402\n", - " 1\n", - " 198\n", - " 0.023428\n", - " -0.010435\n", - " 0.999671\n", - " 5.000000e-13\n", - " 9.950000e-11\n", - " \n", - " \n", - " 199\n", - " -2.009986e-20\n", - " 1430\n", - " 632.571305\n", - " -5.542233e-13\n", - " -2.832649e-25\n", - " -2.009986e-20\n", - " 404\n", + " 3.000000e-09\n", + " 0\n", + " 0\n", " 1\n", - " 199\n", - " 0.024591\n", - " -0.004988\n", - " 0.999685\n", - " 5.000000e-13\n", - " 1.000000e-10\n", " \n", " \n", "\n", - "

200 rows × 14 columns

\n", "" ], "text/plain": [ - " E_evolver E_calc_count_evolver ... last_time_step t\n", - "0 -4.400762e-22 37 ... 3.715017e-13 5.000000e-13\n", - "1 -8.797309e-22 44 ... 5.000000e-13 1.000000e-12\n", - "2 -1.318544e-21 51 ... 5.000000e-13 1.500000e-12\n", - "3 -1.756100e-21 58 ... 5.000000e-13 2.000000e-12\n", - "4 -2.191985e-21 65 ... 5.000000e-13 2.500000e-12\n", - ".. ... ... ... ... ...\n", - "195 -2.009865e-20 1402 ... 5.000000e-13 9.800000e-11\n", - "196 -2.009897e-20 1409 ... 5.000000e-13 9.850000e-11\n", - "197 -2.009928e-20 1416 ... 5.000000e-13 9.900000e-11\n", - "198 -2.009958e-20 1423 ... 5.000000e-13 9.950000e-11\n", - "199 -2.009986e-20 1430 ... 5.000000e-13 1.000000e-10\n", - "\n", - "[200 rows x 14 columns]" + " t mx my mz\n", + "0 1.000000e-09 1 0 0\n", + "1 2.000000e-09 0 1 0\n", + "2 3.000000e-09 0 0 1" ] }, - "execution_count": 6, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -350,13 +170,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "id": "858de4db", "metadata": {}, "outputs": [ { "data": { - "image/png": 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A22EOtB/mdLCx3zYKCrMCM6guWpgSygG3WI8EQRCEoRHRPM2wfM3BSIKOniglBd4Bt7Pi5hRPAMU3eFXNUbYAva1WJgMKk5auaA/7Wj/g/db9HO44SlyP99um1FvC8tIlLC9ZwpKiheS5pFmPIAiCMDpENE8z+rTTbu4dVDTrHWYnQLWkasgoLLV8Phz6PUZPK3qkB9U79ORCQRgPmkOtvN+yjz2t+znedapfwoVbdbGkeDHLS5ewomQJ5b4yiXwTBEEQckJE8zSjsiRdQWvpHHiSE2TEzQ1izbBwlM5N79PZgDpDRLMw/hiGwameOva07Of91v00BJv6bVOZV8HqsuWsKFnKwqL5uFT5ehMEQRDsQ/6qTDNcTpUCv5vuYIz27uiA2xiRXoxQJzC8aFbyy9L79bTCjCW2HasgDEdDsIldje+ys+k92iLt/dYvKJjLWeUrOatsJTP8FQOMIAiCIAj2IKJ5GlJa4DFFc09kwPVDtc8+E8VXAKoT9AR6b5utxykIA9Ee6WB30/vsbHqX+t6GPuscioMlxYs4u3wVq8uWS8qFIAiCMG6IaJ6GlOR7Od7QM2ilWc8QzWrx7CHHUhQVJVCK0d2E0SOiWRgbeuNB3m3ey87GdznadbzPOlVRWV6yhPWVa1hdthyf0zdBRykIgiB8mBHRPA2xJv+1dQ9cadY7TwOgBEpR3MMLEDW/DK27Cb231b6DFD706IbOwfYjvNGwkz0t+9EMrc/6hYXz2VC5lrUVq8l3BwYZRRAEQRDGBxHN05CSAg8Anb1RNF3Hoap91ls2CzXDrzwUaqAUjaSnWRBypC3cwVsNO3mzYRcd0c4+62b5Z7Chci3rKs+m1FcyMQcoCIIgCAMgonkaYlWaDQM6e2KUFvaNnTOCHQAo/pGJEiW/FAC9t33IhimCMBi6obO/7SC/r3uTA+2H+0TE+V15bJqxjnNnrmd2YOYEHqUgCIIgDI6I5mmIVWkGaO+JDCqa1cDIRLMaSFaktRhGpMecHCgII6A3FuTNhp28Wv8mbZGO1HIFhWUl1WyetZHVZSskHk4QBEGY9MhfqmlISX5aJLd1R6jOWGckTOELo6g0B0rT+/e0gohmYRhqe07zUu2r7G5+n4SeSC0vcOdz/qxNbJ61gRJv8QQeoSAIgiCMDhHN05DCgBuHqqDpBh1nJGhYVWYAdYSiOdP7rPe24ahYaM+BCtMKwzD4oP0Q2079nsMdNX3WLS5awEWzN7OmfBUO1TFBRygIgiAI2SOieRqiKgrF+R5auyL9Yuf0YLpBhDJCe4biLwZFBUOXyYBCP+JanJ1N77K99lUaMzr1uVUXG2ecw0VVm8WrLAiCIEx5RDRPU0oKvLR2RfrFzhm9GaLZP7Lb44rqQPEXY/S2SeyckCKSiPLa6bfYfur3dMd6Usvz3QEuqTqfC2afS8Dln8AjFARBEAT7ENE8TbEmA57ZFTBVaXY4Ubz5Ix5PDZSi9bahS4OTDz3hRJhX6t7gxdpXCcZDqeUz/JVsmXMRG2aslYl9giAIwrRD/rJNU6zJgGfaMzLj5kYTHWdNBjSklfaHlmA8xEu1r/Jy3euEE+mLsYWF87hy3qWsLF0mcYSCIAjCtEVE8zSlNFlp7g3HicY1PC5z8lWqsckIJwFaWJMBxZ7x4SOSiPBS7WtsO/V7IlpaLC8pWsTVC7ZQXbRIxLIgCIIw7RHRPE0pLkjHzrV3R5hZanpL05Xm0cV9KVaCRiyMEQ2ieKa2VzUcTfD4i0dIaAaVJXnMKs1j1cLS1MWFADEtzqv1b/L8yZfojQdTy1eULuWqeVtYVDR/4g5OEARBEMYZEc3TlNJM0dwTTYvm5ERANSN7eSRkbq/3tuGY4qL52bdP8fv3G/osO2tRKX9y09kTdESTB03XeLNhJ8+e2E5ntCu1fFlxNdcuvJIFhXMn8OgEQRAEYWIQ0TxN6dMVsMu8pW4kYhjRXmD0leZUV0DA6GmD0qkrnAzDYMcBMxrN43agaToJzWDvsTa6gzEK/O4JPsKJwTAM9rUd4Mma39IUakktX1Awl48tvIqlJYsn8OgEQRAEYWIR0TxNyfM48bgcROMa7T3mZEAjI6N5tJ7mzEznqe5rPtnUQ3NHGICtly1h4awCvvGfb2MY8F5NKxedPWuCj3D8qes5zS9rnuZQRlOS2YGZfGzhlawqXS6eZUEQBOFDj4jmaYqiKJQUeGhoC9GezGrWM7oBjrSxSWp7pxvFV4gR7kpNJpyq7DjQDIDToXDOkjLyvC5mlOTR2B7incMtHyrR3BXt5qljz/FWwy4MDAAK3QVct+gqNs44B1VRJ/gIBUEQBGFyIKJ5GlNS4O0jmrNpbJKJkl+KEe6a0l0BdcNgZ9KasXphKXleFwDrlpbz2zdP8sGJdkKRBHne6f3R0HSNl+pe47fHXyCmxQCzg9/l8y5hy9yL8Tg+nBYVQRAEQRiM6a0MPuSUphqcmPaMbBubWKiBMvTmY1O60nysvpu2ZHb1xuWVqeXnLDFFc0Iz2HOslXNXzJioQxxzDnfU8PjhX6daXisonDtzPdcuvIIiT+EEH50gCIIgTE5ENE9jrAYnbd0RDMNIVZpH29jEItXgZApXmt9OVpndLpU1i9OTG+fPyKekwEN7d5R3Dk9P0dwZ7eLJmt+yq+m91LIFBXP51NLrmZtfNXEHJgiCIAhTABHN05jiZKU5FtcJRhKoyUrzaCcBWqj5SdEc6cFIxFCcU+sWvq4b7Dxo+pnPXlSGx53OZFYUhXOqy9m2u469R9uIxTXc0ySzWTd0Xql7g6ePPUdEM6vsAZefjy/6KOfOXCe+ZUEQBEEYASKapzElZzQ4Kc2ysYmF4kvfujfC3emGJ1OEY6e76Q6a/t1Ma4bFuqWmaI7GNfafaGdtdfl4H6LtnO5t5JGDT3Ci+xRgWjHOn72J6xZehd+VN8FHJwiCIAhTBxHN05iijLzhnlCckiwbm1goeX1FM1NMNJ9q7kk9XjG//4VDdVURAZ+L3nCc9460TmnRHNcTPH/iRZ47+RKaoQEwJ382ty79JPMK5kzw0QmCIAjC1ENE8zQmP1M09wSzbmxiofoKUo+NcNcQW05O6lvMVtAlBR58nv5vfVVVWDq3iN2HWjjV3Dveh2cbx7tO8j8Hn0hN9HOpTq5ZcAWXzrkQhzo9LCeCIAiCMN5MedF86NAhvv3tb/POO++gaRorVqzgT/7kT9iwYcOA29fV1bFly5ZhxwS49NJLqa+vH3Cbb37zm9x00025HfwYE/C6UBQwDIh1pSfvqaPMaLbItGfo4e6cj2+8qW81RfOsssFbgM8u87P7UAsNrUF0w0CdQk094lqcp44/x4unXk1lLlcXLeTTy26gIm/qVs0FQRAEYTIwpUVzbW0tW7duZf78+dx77734fD5+9KMfcccdd/Doo49y1lln9dunoqKCJ554YsDx/vIv/xKPx9Nn2Uc+8hG+/OUv99t29uzZ9ryIMURVFfJ9LrpDcRI9mRnN2YlmXF5wuEGLYYSmVqXZMAxOJ0VzVVlg0O1ml5vrYgmd1s4wFcVTw/db13Oan3zwGKeDjQB4HV4+sfijbJ61USb6CYIgCIINTGnRfP/996NpGg8++CAlJaYQXLduHVdeeSX33XcfP/7xj/vt43a7Wb16db/l27Zt49ChQ/0EdVFR0YDbTxXy/W66Q/E+LbRH2w0wtZ+ioOQVYPS0mp7mKUR3MEZvOA4MXWnOXFffGpz0olk3dLadfIWnjz+f8i4vL1nC1mU3UuwtmtiDEwRBEIRpxJQtQRmGwfbt29m8eXNKMIMpii+77DJ27NhBV9fIqqGxWIx/+qd/4pOf/CQrV64cq0OeEArykr7mSPJ3oTpQPINXWodDSfqap5qn2bJmAMwuH1w0Vxb7cKimJcPyQE9WWkJtfOedH/LrY8+iGRou1cWnllzPl8++UwSzIAiCINjMlK00NzY20tXVxeLFi/utq66uRtM0jhw5wvr164cd69FHH6W1tZU/+qM/GotDnVDy88w20Y5YchKgNz+rxiYWqq8QHaZcpTlTNM8qHVw0Ox0qM0rzqG8JpuwcI8WI9KI11aA11aAHO/Cc8zHUwrFpkrKj8R0eO/RLoskW2PMK5vDZ5TdT6a8Yk+cTBEEQhA87U1Y0t7S0APSpMltYy1pbh+9cF4lEeOihh7j55puprOyf3VtbW8tXvvIVdu/eTU9PD9XV1Xz+85/nox/96LBjq6qCqo7dRDKHQ+3z/0AU5ZsebWc8CCqoeQU4ndnfYFD95mRAI9yd0zjjTUNbCIDyIh/+5IXEYMwpD1DfEqS+NTji1xg78hbBbQ+AoacXhtrJ//ifD7vvSM6jRSQR5bGDT/Lm6V0AqIrKNQsv4+oFWyQZYwIZzTkUJidyDqcHch6nPpP5HE5Z0RyLmRU2l6u/ALKWRaPRYcf51a9+RVtbG7fddtuA62tqavj85z/PbbfdRldXF//1X//Fn/7pnxIKhbjxxhuHHLukxJ9TVXekFBT4Bl1XWWpaMTx6CFRw5xdTXDx4pXU4jJIyYgCR7pzGGW+aOsIAzJ9VMOxxL55bzFsfNNHQFqKgwDeiD279vufSgllRwdBJ1B8gYHThKpk1omMc6jwCnOys47s7/4v6HnOyX7m/lD85706qSxeMaHxh7BnuHAqTHzmH0wM5j1OfyXgOp6xodrtNr248Hu+3zhLUXq+337oz+dnPfsaGDRuYM6d/w4cnnngCj8eD358WWRdccAHXXHMN3/3ud7nhhhuGFMXt7cExrzQXFPjo7g6jafqA27iSei+PCACa009HR/Ze3ahiTozTI0HaWztRHENXbScDhmFwosH0YFcW+YZ9/aX55nsroekcOt7KzCHsHABadwvRhqMAeDd8As+yi+h65B7QNZrffJa8zbcMuf9w59EwDH5f9yY/O/QbEnoCgHWVZ/GZFTeRpw7/eoSxZySfRWFyI+dweiDnceozEedwpEXAKSuaLStFe3t7v3VtbW2AGS83FI2Njezfv58///OBb6EPZP3w+XxccMEFPP7447S2tlJePnj+ra4b6Lox5DHYgabpJBIDv7H8XvMU5ytmpdXw5g+67UgwPPmpx/Gezqy7C44n7d0RwlEzWWJmSd6wr39GRmLGyYYeyguHvtqNHdmReuyovgDdV4xz7hoSJ3YTO/gqrnWfGNHFxUDnMZKI8MjBJ3ineQ8ATtXJjdXXccGsTSiKktO5FOxnqM+iMDWQczg9kPM49ZmM53DyGUZGSGVlJaWlpalGJJkcOHAAl8tFdXX1kGO89tprAGzevHnA9Zqmoev9T5hl+zgz03kyYqZnGARUs9KsePOH3mEYlMyugFMkqzlzQt9QcXMW5UU+XEkv80gmA8aP7QRArViUuohwLb8EACPSQ+LEO6M9ZACags386+4fpARzZV4FX1//FS6cfe642H4EQRAEQUgzZUUzwBVXXMEbb7yRmhQIEAqF2LZtGxdccAGBwNDRart378blcrFw4cJ+63bs2MHq1av5+c9/3md5b28vr732GkuWLKGgoKDffpONfL8bDwlciin+FV9uolnN6Ao4VRI06pLRcYoCM0uHz11WVSW1Xd0wolnvaUVvOQaAa2G6C6WjaiVKfhkA8QMvj/qY32/Zz727vp9qhb2+cg3/34Y/YnZg5qjHEgRBEAQhd6a0aL777rvx+/3cddddvPTSS7z++uvcfffdhEIhvvrVrwKm+F2xYgWPP/54v/0bGxuZOXMmTmd/l8q6des466yz+Md//Eceeughdu3axTPPPMPtt99OR0cHX//618f89dlBQZ4rVWUGUL25CX0lL7OV9tSqNFcU+XC7RpYwMTtZkR6u0pw4vjP12LkgHW+oKCquZRcDoJ0+gN7VOKLn1Q2dp449x4N7f0JEi6AqKjdWX8cfrLgVj8M9ojEEQRAEQbCfKS2aKysreeSRR6ioqOCee+7hD//wD1EUhYcffpglS5YA5iSqwWwWLS0tg1ajHQ4HDz30ELfddhtPPPEEn/vc5/irv/orSkpK+OlPf8qFF144pq/NLrxuJyWudIpIrpVms5W26c+dKpVmK6N5JNYMC6uddlN7iMQQExHix5LRb+ULUZOVZQvX0gvNJA0gfnRHv33PJBgPcf/7/83vTmwHIN8d4I/X3sVH5lwgdgxBEARBmGCm7ERAi4ULF/LAAw8Mun7Tpk0D+p4Bnn766SHHzs/P55577uGee+7J6RgnmnJvIvU405OcDYqioPgKMHrbpoSnWTeMVLV4qE6AZ2IJbE03aGwPUVXe/+JK721DbzZTMzKtGRZqXhFq2Tz0luPoLceHfL7T3Y3889s/oDlkZosvKJjH51d/hiJP4ZD7CYIgCIIwPkx50SwMT4knDkndnOtEQADFV2iK5ilQae7siRKNm8kZQ3UCPJOqjKr06dbggKI5cer91ONMa0YmjqRo1lpPDPpcB9oO89CenxKMmwknF84+jxurP4ZTlY+nIAiCIEwW5K/yh4BiZwwSkMBh2ityxKpWG1PA09zWnfZzlxWNPCi9pNCLx+UgGtcG9TXrrScBUPLLUAsGjh5Uy+YDYAQ70ENdqHl9K8ev1r/Jzw7/Gt3QURWVm6qv46KqgdNcBEEQBEGYOKa0p1kYGQVO09McwmeLN9YSflOh0tzenfZzlxaM/IJBVRTKCs3tM4V3JlpHvbltcdWg4zjK56ce6xnVZk3X+NnhX/PYoSfRDZ08l4+vnPN5EcyCIAiCMEkR0fwhIKCYoq9Hz73KDOlKsz4lRLP52h2qQqF/dOkTpZZo7uovmg3DQG+vM8cuGVw0q8VVkLRZaMnKdDgR4YE9P+aVutcBKPeV8g+XfZ0VpUtGdXyCIAiCIIwfIpo/BORhemW7Eh5bOhQqVlZzNIih9W9jPpmwKs1FAc+oW5pblemBKs1GbxvEzeXqEKJZcThT6/XWE3RFu/nuOw/wQbs5ObW6aCF/tumPmF0wY1THJgiCIAjC+CKi+UOARw8B0Gt46A3nLnKVvIyugJO82mwJ3pKC0XdvtPZp746iG30vNqwqMwwtmgEcSV9zQ/sJvrX7B9T1ngbg3Bnr+cM1nyfgHvkERUEQBEEQJgYRzR8CXAlzIluP7qU7FMt5PGUKdQVs7zFF82j8zBaWPUPTDbp6+/7eNEs0Kw7UwqGrxGr5fE56nfywVKU90gHA1fO38JnlN0lChiAIgiBMEUQ0T3MMw8AR6wWg1/DSE8xdNPdtpT25EzQse0ZxFpXmsoJ02saZvma9wxTNatFMFMfQwne/2+ChWcWEHCoKCrcs/STXLrxSGpYIgiAIwhRCRPN0JxZCMcyOdr26l+6QzfaM0OStNEfjWsqOkkulGfr7mi17xnDWjFfr3+K/Tv6OhKrg0g3u8C/jwtnnjvpYBEEQBEGYWOTe8DTHCPekHvcaXrptqDTj8oHDCVoCfRJXmtszhG5J/uhFc2HAjUNV0HSjj2g29AR6ZwMAasnsQfd//uRL/ProswDk6fDZ0x0smtE76uMQBEEQBGHikUrzNEePpCvBvXZ5mhUl5WuezJ7m9p50RnM2EwFVRUntl2nP0DubQDe7DA4UN2cYBr85+ruUYC72FPEV10LmRRJDdgYUBEEQBGHyIqJ5mpNZae4xvPTYIJohoytgaBJXmjOEbqbVYjQMFDunt9emHp/Z2EQ3dH5+5Nc8d/JFACp8ZXx13d3MKF8KmFF1RkSqzYIgCIIw1RDRPM3JrAT36l66g/bkKk+lSrPH5SDPk50TKSWaMyvNyU6AuLwo+aWp5Zqu8T8Hfs4rdW8AMDswkz9ddzcl3uI+nQGl2iwIgiAIUw8RzdMcI2nPiCsu4jhtqzSrycmAk1k0Z2Y0Z5tUYVWoW7sjGMms5tQkwOJZKIr5EYrrCf57/6O83bgbgPkFc/mTtXdR4M5PbWuhdzVmdSyCIAiCIEwcIpqnOZY9I+YwG2jY4WkGULymGDQiPcNsOXF0pERz9u3DrUpzNKYRiiaAdEaz5WeO6wn+c+9Pea9lLwBLihbxlTWfJ8+VlxpHcXpQ8ooA0Luasz4eQRAEQRAmBhHN0xyrEqy5LNFskz3DEzDHjwZTFdjJRlsyo7k0i0mAFn1i57oiGPEIRk8LAGrJnJRg3td2AIBVpcv40tmfw+vsL9TVggoA9G4RzYIgCIIw1RDRPM2xKsG62xS50ZhGLK7lPK7iDSSfQIdYKOfx7MYwjFQ3wGzi5izOFM16x+nUz3rhjD6CeXXZcr6w+nZcDteAYylJ0WyIaBYEQRCEKYeI5mlOKj3Dm25IEowkch43JZoxq82TjWAkQSxuNnXJxZ6RKbhbuyPo3U0AJIAftbzZRzB/ftVtQ7bFTlWae5oxkg1nBEEQBEGYGohonuZYEwFVX35qmdUlLxcse4b5HJPP19ynsUkO9gyXU6Uw4AaSleaeNhLA/8wsYl9nDTAywQxp0YyWwAh2Zn1MgiAIgiCMPyKapzGGoacErdNfmFoetEM0Z1aaJ2HucGaucjYttDPJzGqO9zTzPzMLOeg3hfRIBTOAWliZemxVrAVBEARBmBqIaJ7GGNEgJCfpuQNp0WxLpdmbrlxPRtHc3p3uBlicn32lGTJFc4j/iR7noN8cbzSCGTIqzchkQEEQBEGYaohonsZkZih7C4pTj4MRGxI03HmAmX08OUWzWWnOz3PhdjlyGsucDGjQHHibvQ5TjC/HPyrBDKB4/OAxU0yM7pacjkkQBEEQhPFFRPM0JrOFtitQgNNhnm5bKs2qCh4zh9iITkLRnOwGmEtyhkVJvgfXvAMYxWY+88JQjM8WrBqVYLZIx86JPUMQBEEQphIimqcxmakWqjcfv88UeXakZ0Da1zyZK825TAK0OMYOnJWnAJgbifPZhi68+RXD7DUwktUsCIIgCFMTEc3TmMwKsOINEPCa+cF2VJrNMfP7Pc9kod2GboAAvzvxIu93vw2AI+TjD0534jEMlPyyrMbLFM2TtSmMIAiCIAj9EdE8nbEqzaoDnB78PlM025GeAUmPLpOv0mwYBp29ZrvwXCYBvlz7Ok8d+x0AetjP3KNV5Omm0FUDpVmNmZoMGAtPyosNQRAEQRAGRkTzNMayZygeP4qi4Pd+OOwZwUgCLSluC5PRcKNlV9N7/PzIrwEo8RajHdlIhW4lcigo/pKsxlUyEjSkM6AgCIIgTB1ENE9jLDFrNSIJ2F1pnqT2jO5gLPW4IAvRfLD9CA9/8DgA+a4AX1nzBYo8hRQ7khch/iIUx+gnAYLEzgmCIAjCVEVE8zQms9IMpOwZvXZEzpEW40akZ1L5c/uI5rzRiebannoe2vswmqHhcbj50prPUZFXRmHATYmavAjJ0poBoOQVgcM8Jr1LRLMgCIIgTBVENE9jUukZSdGcWWm2Q+SmugJqCUjEht54HOkOZVdpbg2384P3/4uIFsWhOPji6s8yN78KgCK/h2LV/H2qgewmAQIoiiIJGoIgCIIwBRHRPI2xbBOKN1lpTnqaE5pBLK7nPL5Vwc58rslAV29aNOfnuUa0T0+slx+895/0xMzXcfvyT7GspDq1PrPSrOZnX2kGUAvKAclqFgRBEISphIjmaYwRsewZfT3NMBattHuG2HJ8sSrNAZ8r1dBlKCKJKD98/0c0h1sBuGHxtayfsbbPNiU+8KvmuIo/N9GsFFYCMhFQEARBEKYSIpqnMf08zd60aLajlXbKnsHkStDoSnqaR2LN0A2dH+1/hJM9tQBcNvdiLp17Ub/typ2h1OO4tyin47PsGUa4GyMeyWksQRAEQRDGBxHN0xRDi0PCjEizxK39lebJKZqtiYAFI7BmPHHkKfa1HQRgQ+VaPr7o6gG3K1LT3RV7lIKcjq9PgkZPS05jCYIgCIIwPohonqZkttA+Mz0D7Mlqtmwf5vNNPtFcGBi6scnLta/zSt3rACwuWsDW5TehKgN/JPKNtP2kU/cPuM1Iycx4Nno7chpLEARBEITxQUTzNMXyM0OmPSOdLWxLpdnhBJc3+XyTSDSHrErz4PaMva0f8MSR3wBQkVfGF1d/Fpc6ePZyXqILgF7dQ0dUyen4VH9x6rEebM9pLEEQBEEQxgcRzdOUzMqvVRF2uxy4neYpt6/ByeTqCmgYRtqe4R/YnlHbU89/738UAwO/K4+7z/ocflfekOM6o2ZFuEP390nnyAbF7QOXzzzeoFSaBUEQBGEqIKJ5mjKQPQMyGpzYJZqtBieTxJ4RjiZIaGYG9UATATsinfzw/R8R02I4k1nMFXnD5y4bvW0AtOsBOnujw2w9PGrAtGjovVJpFgRBEISpgIjm6UqmaM6YsGclaNiRnpE59mSpNHdldAMsPEM0RxJRHtjzY7pi3QB8ZvmnWFy0YETjWqK5Q/f3eY5sUZIWDWMa2DOa2kO2XEgIgiAIwmRmcBOnMKVJiVhFTfmOAQI+85QHw7lPBITJJ5r7tNDOEM26ofPTAz+jrvc0ANcsuJwNZ2QxD4ahJTCCnQC0a3667Kg0+0vQmPr2jJffq+fh3x3C6VC5+/qVrK0un+hDEgRBEIQxYcpXmg8dOsQXv/hF1q9fz9q1a9m6dSs7d+4ccp/bbruNpUuXDvjvO9/5Ts7jTwYyM5oVJT1xLWXPsKvSPMnsGZlV4MyJgM+e2M57LXsBWF+5hqvnXzbiMY1QB2BaPjp0P505epoBFMueEWy3paX5RPDq+6d5+HeHAEhoOj/45T5e39swwUclCIIgCGPDlK4019bWsnXrVubPn8+9996Lz+fjRz/6EXfccQePPvooZ5111qD7rly5kr/927/tt7yiIp2hm8v4E02qhbanbzxayp4xTScCDlRpfq95L88cfwGAuflVbF12U58LieEwQl2px116Hl3B3CvNlj2DeARiYSAw5PaTjdf3NvDjZ8186wK/G03TCUYS/NdvDxCNa1x6TtUEH6EgCIIg2MuUFs33338/mqbx4IMPUlJiVu7WrVvHlVdeyX333cePf/zjQff1+/2sXr16zMafaFITAb19xZjV4MRu0Uw8gqElzBi6CcSKm/N7nTgdKvW9Dfzkg8cAKHDn88XVt+N2DN/0JBM9QzT3GD7CUY1oXMPjcmR9nGpGVrMZOzd1bA3t3RF+/OxBDMwGMl+/dS26YfDtx9+jqzfGY9tr2LSisk8HSkEQBEGY6kxZe4ZhGGzfvp3NmzenBC2A2+3msssuY8eOHXR1dQ0xwsSOP9ac2ULbwm95miMJW2wBk63BSXdGC+3eWJD/2PNjYno8mZRxO8VZtMA2Qp3p8XUzKi5XX3Nmg5OplqCx62Azmm6+d/70U2uYVeanqjzAH91g3nlJaDo7DzZP5CEKgiAIgu1MWdHc2NhIV1cXixcv7reuuroaTdM4cuTIpB1/rLGam2SKWoBAsvqn6QaRmJbz80y2VtrdQbOCXuB38p/7fkpbxJxod8uyG1hQOC+rMS3RrLvySGBWl3P1NVuRczD1RLMliBfMzGfejPzU8vkz8pldbl6kvbmvcUKOTRAEQRDGiilrz2hpaQHoUwW2sJa1trYOun9HRwd//ud/zmuvvUZHRwdz585l69atbN261ZbxAVRVQVVz6x43FA6H2uf/PiSrvg5fAKczvb4gkJ4cF4lr5A+QZTwq/AWph2o82Oe5JgLLnhEseZ9TnccA2DLvIi6cszHrMaMRM6JO8RWmlvWG47m9VqffTDWJR5ITDQc5j5OM1s4wR0+bv49NK2b0+x1csHomj79Yw5G6Ltp7IlQUD900Zrow5GdRmBLIOZweyHmc+kzmczhlRXMsZoojl6u/b9JaFo0Ofgu9traWyy+/nHvvvZdYLMajjz7K3/3d39Ha2sof//Ef5zw+QEmJf1QTzrKloMDXb1lnzKw05xUVU1yctmjMKE9XBlWns8+6bEioFfQkH+c54wRyHC9XesNxHGX1tLnNVIezKpfz+Y2fwqFm7z+OxnuJAd7iUjiRXKYbOf/uegvLiLfW4YyaInSg8zjZePn9dDrG5efOp/gMUXzV+Qv52Us1GAa8U9POrVdMHa+2HUyFcygMjZzD6YGcx6nPZDyHU1Y0u91mhTQe7z+hzRK8Xq+33zqA733vezgcDvLz0wLywgsv5NZbb+Whhx7izjvvzGl8i/b24JhXmgsKfHR3h9E0PbXc0BIYsQgAEcNNR0cwY13aktHQ3E1pILfJWkY8LUZ7W9uIZzzXeGMYBh3xZlyL9gNQ5ivhD1bcSndXJKdxo11mYxPDnU9+noueUJyG5t4+v9esjtdXBNQR6TDtDmeex8nIy7trAVg0uwCXYvT7HTiA5fNK+OBEO9t3nOTK9bPH5cJxohnssyhMHeQcTg/kPE59JuIcjrQINmVFc2VlJQDt7f39oG1tpsjJjI/LpKioqN8yVVXZsmUL7733HjU1NcycOTPr8S103UDXxz6DV9N0Eon0G0sP9aQeG668Puu8GYkPXb2xPuuywcAJDidoCRKhHhw5jpcLrT3dqIveQVF1HDj4/Krb8SjenF+jnmxsYvgKKfS76QnF6eiO5DyukmfGzmk95nvszPM42WjtDHMsac1Yv7Ri0GM9b2UlH5xop6kjzOFTnSyaXTjgdtORyX4OheGRczg9kPM49ZmM53DyGUZGSGVlJaWlpRw6dKjfugMHDuByuaiurh5wX13XSST6d8SLRMyKpMfjyWn8icbIbKE9SE4z2NNKW1EUFK9ZsTciPcNsPXbohs7DBx9D9YQBuKDkSubkz8p5XMPQMcKmUFR9hRQGPAB02tJKO93gZCqw81A6EWP90sEvGNctLcftMr9a3pAJgYIgCMI0YcqKZoArrriCN954IzVpDyAUCrFt2zYuuOACAoH+DSNqa2s566yz+Pd///c+yzVN44UXXqCoqCiVmJHN+JOBoUSzy6mm8oV77cpqngRdAZ85vo2jPTUAJJrmsqHyHFvGNSK9YJhXukpeIUXJiZN2tNK2ugISC6NHQzmPN9bsPGCK5kWzCygtHNya5HU7U+209xxtG5djEwRBEISxZkqL5rvvvhu/389dd93FSy+9xOuvv87dd99NKBTiq1/9KgA7duxgxYoVPP744wDMmTOHyy67jIceeojvfOc7vP3222zbto0777yTw4cPc88996Qm+o1k/ElJRvSb4u0v7ANWVnO4f7U9Gya6K+De1g949sQ2APTeQuKnlvVpoZ0Lmd0AlbyidKXZhlbaqtUVEEh0T25xGYokONFo3klYt2RoWxLA8nnma2vrjtDRk/sFhiAIgiBMNFPW0wymReORRx7h3nvv5Z577kHXdc4++2wefvhhlixZApiTwzRNQ9fTvph7772X5cuX89RTT/GTn/wERVFYuXIlP/zhD7n00ktHNf5kJLPie2alGUyLRlt31L5KszuZoDAB1dKWUFuq459H8dF5ZC0YaqqFdq5kNjZR8gopDJjvo95wnISm48whEiezwUmipw2K+8cbThZONnanHi8egUc508dcU9/FhmXDC21BEARBmMxMadEMsHDhQh544IFB12/atKmfL9ntdnPXXXdx11135Tz+ZCRlz1AUcPePbPFbrbRt8DRDWpgbsfFNzohrcf5z308JJyKoispK5TJej8fJ8zhx2ZQXnSmaVV8hRYH0hUF3MEZJwdAJKkPRt9LcCsWT0yMPcDxZZVYVhTmVw9uSZpbm4fc6CUYSHKnrHLFo1nvbiO76JWpBJe5Vl6MM8P4VBEEQhIlgStszhIFJtdB2+1GU/qc4JZptqjRjieZxrjT/ouZp6npPA3DdwqtwRkwfrV1VZgA9nLRnqE7w+CnMGLsr18mA7jyzwQmgdU/uyYAnGsxK86wyf8oTPxSqoqSqzUfrR9Zu3ogGCT97H4nDrxPb9UuCj/9/xPZvw9DtsREJgiAIQi6IaJ6GpCrN3oFzBwNJ0dwbscnTnBLN41dp3t30Hq/WvwnAqtLlbJl7Ed1JEWunaLY8zUpeIYqikJ+XTh/pCeUmmhVFSVWbEz2T29N8vMGsNC+YmT/MlmksG8eppl6i8aFbthtagvC2H6B31KeXhbuJvv4/RH7/49EfsCAIgiDYjIjmaYg1IW8gPzNAnsd05YRss2ckPc1aHCOR+wS54WgOtfDIwScAKPYUcduKT6Eqalo05+XWsCWTTNEMfQV5d9CGyL6krznRPXRL9omkOxSjrduMY5w/s2CYrdNUV5m/M003UpXqgTAMg8irP0Gr/wAA17JL8H30/6KWzgEgcfh19M6GQfcXBEEQhPFARPM0JGXP8AzsPfV7LdGcwDByb76SKc7Hutps+pj/h6gWQ1VUPrdqKwGX+fzWxMZ8m5IzIO1pVn2mAMzzOHEkuzzmWmmGDNE8iSvNJxrS+dujqTTPn1mQ+l0dqRvcoqHV7ydx+FUAHFWr8FxwG86qlfiu+qppi8Eg9v6z2R28IAiCINiEiOZpiJWeMWilOSmaNd0gFs+9205f0Ty2vuYnjvyG+l6z6vjxRVezsHBeap0lmi37iR1YnmYlr8j8P8Oi0W2DaFYDSXvGJI6cs6rETodCVfnIs8k9Lgdzk5MGa4bwNccPvw6YF3m+y76MopqeadVfjKt6s7nNkTfQgx1ZHb8gCIIg2IGI5mlIqtI8QEYzQF5GV8BQNHdfcx/RPIYJGrsa3+W1028DsLpsOVvmXJRap+k6waRHOzCG9gwglQFtiz0j2UrbiIYw4pMzz/h4UjTPqQiMOmIvczKgPsBdDSMRJXHiHQCcCzf0S8twn301oICeILb3+SyOXhAEQRDsQUTzNMSIWPaMoSvNYFMr7czniYyNaG4OtfDooV8AUOIt5rblN6MoSmp9ZqMWuyrNRjwCcdPLa1WaAfKTvmZb7BkZYlzPiLebLBiGkWpqMho/s0V1VREAwUiChrb+dyESJ9+HhHmx4Fx8br/1atFMnPPN7o7xAy+N62RTQRAEQchERPM0w9ATEA8Dw08EBNPXnCup5iaMTaU5oSf40f5H0z7mlVvxu/L6bJPZqCXfLtGc0Q3Q8jRDeqKhLfaMDDFuTELR3NETTUXrLZgxetGc2QhloOi5xNG3ANPb7ZgxcE61e81HzQfxCLEDr4z6GARBEATBDkQ0TzMyPcWDiWa/117RTKZoHoNK4G+O/Y5TPWYU2XULr2JB4dx+22SKZrvsGamMZvpWhK2Jhj0hO+wZGZXm4MjyjMeT41lOArQozvdQmmwAc6av2YgGSZzaA4Bz0cYBM8UBHBWLUCsXA5A4sXvUxyAIgiAIdiCieboxAtGc6Wm2xZ6hqqnOg3ZPBDzQdpjtp34PwLLiarbMvWjA7TIFbMBrV6W5M/W4j6fZb3maYzmnjyi+yW3POJFsn+1xOZhZOvD7aTjmzzDFdl1zb5/lieO7Idm4xLX4vCHHcM5bC4DeciwVqSgIgiAI44mI5mmGEcsQze68AbfxedId3eyYCAjpeDs7K809sV5+cuAxAAIuP7evuBl1kGpkpvi3q9Kcac/IFLdWeoamG4Rz/P0pDmdqwmbm800WrOSMeZUBVFUZZuuBmV1uiu3TrUF0PX2RET9qTupUC2eglva/e5CJs2qV+cAwSCTznAVBEARhPBHRPM3IFM14BhbNDlXF6zaFsy32DNINTuwSzbqh8/CBx+mJmVXF25Z/ikLP4J5aa1Ke06GOqM3zSEglZ3gCKI60paUgIwe62xaLRhEwOSvN9a3m+ZxTOXprhoUVUxdL6LR0mX57PdKDdtoUv87F5/aZ1DkQaukcFJ95/rW6vVkfiyAIgiBki4jmaUamaB3MngF9G5zYgd2ttF+ue50P2g4BcEnV+awqWz7k9umMZuewAmykWCI2MzkDzuwKaN9kQD3YmfNYdhKOJujsNV/fjJKBL8BGglVpBqhrNt8fWuMRSFpbLOvFUCiKiiNZbU7U7bOlKY8gCIIgjAYRzdOMPhMBB7FnQNrXbFsr7eRz9al0Z0ltTz2/qnkGgNmBmVy/6KPD7pMWzTZ2Awz3z2iGtD0D7ImdU5PjTzZ7RlNH+lzOKM1eNFcU+1L5zvUt5p0DvanGXOnyopbMGdE4lkXDCHagd5zO+ngEQRAEIRtENE8zUqJVdYJjcG+vFTtnt6eZHCvNMS3Gj/Y/imZouFQXn1v5aVxDvA6L3pDVQtvOxiadwECiOS3MbUnQ8BcBk8+e0ZiRqzwzh0qzQ1WZVWbuX5cUzVrzUXNd+QJzIulIxrF8zYBWtyfr4xEEQRCEbBDRPN2wugF68oa0KVgNToKTzNP8q6PP0BRqAeDG6o8xw185ov2sSrPfxhbaVuVXPcOe4XE58CQ94fZkNScrzeEeDF3LeTy7aGw3RbPbpVKU78lpLMvXXN8axNA1tObjgBknN1JUXwFqmdk2PVG7L6fjEQRBEITRIqJ5mmFVmoeyZkBaNNtlzyDD05yt3/RA22FeqXsDMNtknz9r04j37UmKZtsamxg6RsTMKFZ8/SfBWQ1OemxopZ0W5QZGuDvn8ezCEs0zivNQc/SJW77mpvYwseaToJkXG45k/vJIcVatBkBrPISRmJxtxwVBEITpiYjmaUbK0zxIcoaF3/I022bPSE720jVIjL76GoyH+OmBnwFmvNynl904qgl9wZSn2SbRHA2mJqop3v6pHVaChh2VZqVPV8DJ42tOieYc/MwWVqVZNww6jh9ILVcrR15pBnDMMUUzWgKt4VDOxyUIgiAII0VE8zQjVWkeIjkD0p5mu+0ZMHqLhmEYPHbol3TFzCrrp5fdSIF75BFnmq6nXodtojmc7oSnePsfS7oroA32DH/aMz1ZWmkbhkFTuxkPl0tyhoUlmgFiDUcAUAorUQf43Q6Fo3IROE2riIhmQRAEYTwR0TzNsCrNI7VnRGMamq7n/LypiYCAERudaN7V9B7vNJsTu86buYGzy1eOav9gOC38bWtsEskQzQPZM/zm89iR05zpmZ4skwE7eqJE46a/2g7RXBRwp2IOPV0nAHBUjM6aAaCoThzl8wHQWo7nfFyCIAiCMFJENE8zRupp9me0mrYjq7lvpXnksXMdkU4eP/wrAEq9JdxY/bFRP7c1CRBs9DRneIuHqjTbkdOsuH0oLq/5vJPEnmFZMwAqbRDNiqIwu8xPQAmTF+8EklXjLFDLFwCmaDaM3C/4BEEQBGEkiGiebqTsGUMLHZ833eHODl+z4k7bQYxo74j20Q2dnx74GeFEGAWF21fcjNfpHfVzZ4rmcas0J0VzMBy3pVLvCBSZzxuefKLZjkozwOyKAPOdLamfRzsJMLVf+ULzQSyM0dVsx6EJgiAIwrCIaJ5GGIaR9hO7h/Y0+zNFs82VZkZYaX6l7g0OdZhNLi6fdwmLixZk9dyZWckBr82i2elBcfaPW8tP2jMMoDec++/PGSg2x5sk9gwro7kw4MbncQ6z9cioKg+wwBLNTg9q8eysxnGUp98nWssxOw5NEARBEIZFRPN0QouZ6RUMX2nO89grmnH7IJl2MZKJgA3BJn59NN3175oFl2f91MHIGFSaw4PHzUG60gzQY4NFw6o0TxZPs1VpzqWpyZnMLvMz39kKQLRgLorqyGocJb8s5aEXX7MgCIIwXohonkaMtIU2pNtoQ1/RmS2KooJ7ZA1OEnqCn3zwGHE9gVNx8AcrbsWpZl/NtBIsnA4Vjys7IXYmqYzmQdIdMkWzHbFzjlSleXLZM+yyZgDMLvMxx9kGQJt7VtbjKIqCWpH2NQuCIAjCeCCieRrRRzQPV2m22Z5hPme6wclQPHt8G7U99QBct+hqZgVm5PS8vamMZueosp2HYjjRnO+3WTT706I52+YwdhGLa7R1RQB7RbMv3oVHMd9rp/WSnMayLBp660kM3Z73ryAIgiAMhYjmaYSVnAHDV5rdThWnwxSYdjc4GSo943jXSZ47+RIA1UUL+cicC3J+3t6QJZrdw2w5coazZwR8Tix5bkdXQGfSnoGeSLVCnyiaO8JYst2OxiYWekd96vHxcGCILYcnNRlQi6O31w+9sSAIgiDYgIjm6URGPvJwlWZFUVIWDTvsGZAW6oPlNMe0OD898DMMDLwOL7ctvxlVyf0taFWa823yM8PwlWaHquL3WVnN9tkzAPQJtmiMRXIGgJYUzZqhcKSr/+TK0aD2mQwoFg1BEARh7BHRPI3oU+EdpiMgpCcDhsfJnvHM8RdoCpnpCTdUf4xSX/GA240WSzT77cpoNowM0dy/hbZFgd++roCZonmiEzQakqLZ6VAoK/TZNq5VEW7WCmjuipHQso/qU/MKUfymxUOXBA1BEARhHBDRPI3oOxFweLFjxc7Z10p7cHvG8a5TbDv1CgDLS5Zw3sz1tjwnQI9VabZJNBMLpVJI1EHsGQAFycp2ty32jAzRPMFZzc1J0Vxe5ENV7fGIA+gdpwFo1IowDGjpDOc0nqNcJgMKgiAI44eI5mlEytPs9KCMII3CanBit6f5TE9uXIvzPylbhoety260bcIemA1GAAJ2VZozG5sMYs+AdFdAOyrNal4+JCPYJrrS3JKcBFhRZF+V2dB19M60aIa+NpBssBI09PZ6jEQ0p7EEQRAEYThENE8jLFuEMgJrBqRbaYfs8jR70pFzmQkQz5zYRmPI7Nz2yeprKfYW2fJ8AJqupyrldolmPTx0N0ALK3bODk+zoqgoPtMKMtGeZis5w05rhtHTApr5PmvUiwBoas+10pycDGjo6K2nchpLEARBEIZDRPN0wmqhPUxyhoXlabYrci7lozZ0iJvC62R3LS+cfBmAZcXVbJ650Z7nShLM6MZnXwvt7tTjISvNfvvsGWD6dGFiK82artPRY1ZtSwtH39J8MCxrBkA0rxLIvdLsKJuXeqy11+Y0liAIgiAMh4jmaYTlJR4uOcMib4w8zWBaReJ6goczbRnL7bVlQHoSINjnaTbCo7NnROMasbiW8/OqeUXm809gpbmjO4qevEtQZqNotpIzUB24is1c7qYcRbPi8aMk86319rqcxhIEQRCE4ci+DZsw6Uh5mkdaafamK82GYeQsaPuI5miQZ5t20hhsAuATi6+hxGtPWkYmmaLZtvQMy9PscIFrcOGYKdJ7w3FKcuxGqPiLzOefwEpza9KaAXZXmk3RrBbOoKI4AMc7aerITTQDqCVVaMGOPhnQUwnDMGjrjnCqqZdTTT3keV1sWTcbhyr1DEEQhMmGiOZpxGgrzZanWTcMonENrzu3t0OmLeRk50leOPUyYNoyzp+1KaexB6MnNHaVZsWbP+SFRGYudE8oTklBbiJTtTzN4e5hthw7MkWznZXmlGgunp3Kfu7sjRGJJXJ636nFs9Fq96K119ly4TeeJDSd+5/cx3s1rX2Wf3Cinbs/vgqP256W8IIgCII9SDljGmFk6WkGe3zNVqU5ATx6+vfoho7H4ebTy24YMzHTG05PwrPP0zx0N8D086U7EPaEbZgMmBTNxEIYmj0+6dHS2mVOzvO4HPalkeg6emcDYIrcyoyGKTlPBiyZYz6IBic8dWS0/OzFmj6C2fqI7Dnaxr88+g5dwdzfU4IgCIJ9iGieRqRE8wjTMyx7Btgrml8s8dMQN325n1h8DaW+kpzHHgzLnuF0qHhytEdYDNcN0CKzsp1Z8c4WayIg9PVVjydt3VZyhte2C53M5Ay1eBYzijNEc44WDbVkdurxVPI17zjQxLbd5vGumF/M339+Ez/86sWcu9KcJHmisYd/fuQdW7zygiAIgj2IaJ4mGIYO0dFVmi17BtjUStvlpd7j4uWkKFpSvHjMbBkWvamMZqd9Ii88MtHs9zmxntEO0az4MkXzxFg0rLg5O/3MWobfWC2ZTXGBB5fT/OrJOau5aFaqRKt3TA3R3NAW5EfPHgSgON/DF69byewyP26Xg89fu4KrN80FzImS23dPjdckCILwYUBE83QhHgHM1IORepp9mZVmGxqc6IbOE5WF6IqCG5Wty25EVcb2LdZrc2MTyLRnDN5CG8Chqqlqfa8N9gw1L/18E9UVsLUrXWm2Cz0jOUMtqERVFCqKzQzonBM0nG6UArM6q7VPjcmAP3r2INGYhkNVuPv6Vam8bwBVUbjxkkUsrjIvoH775kl7LmgFQRCEnJnyovnQoUN88YtfZP369axdu5atW7eyc+fOYfd78803uf3229m0aRMbN27k1ltv5eWXX+6zzW233cbSpUsH/Ped73xnjF5RdvRpXT3iiYD22jNeOPUKDW7zLXWNo5KyMbRlWFjHnVk1zwXDMFI5zcNVmiGzK+DUrzRruk5791hkNFvJGTNRkl0PLYtGU0dunmYAR7Fp0ZgK9owTjd3U1JkXRNddsIDFswv7baMoCjddsggwL2affUsatwiCIEwGprRorq2tZevWrbS3t3Pvvfdy//334/f7ueOOO9izZ8+g+7344ot87nOfw+Px8K//+q9861vfIi8vj7vuuotnn322z7YrV67kiSee6Pfv05/+9Fi/vFFhZLSuHqk9w5eRWpBrVnNTsJlnT2wDYF44xnkJ+0TXUFgttDP92TkRj4Bm/i6GmwgI6QSNXjtEsycPku3P9QmoNHf0ZGY029cNUO+wJgHOSi2zJgM2toX6dI/MBrWkKvk8pzF0PaexxpoXd5sXEG6nyqXnzB50u+qqItYsLgNg267aVMMZQRAEYeKY0pFz999/P5qm8eCDD1JSYlY1161bx5VXXsl9993Hj3/84wH3++53v8u8efO4//77cblM0bNx40YuvvhiHn74Ya6++urUtn6/n9WrV4/5a8mVVEYzIxfNqqrg8zgJRxM5tdLWDZ1HD/2ChJ7AYcANzT0oM3LP4B0JwaStxPaMZkZWabZsIT22tNJWUHwFGMF2jND4V5rbxiBuzjAM9G4zq1stmpFaXlliivJQNEFvOJ6q2GeDJZrRYhg9zSiFM4beYYLoDcd5+4D5uzh3ZeWwd0c+efFC3q9pJZbQ+c3rx/nsVcvG4zAFQRCEQZiylWbDMNi+fTubN29OCWYAt9vNZZddxo4dO+jq6l+tMwyDu+++m7/5m79JCWYAr9fLvHnzaGxsHJfjt5s+onmE9gxIWzRysWe8eXonNZ3HAbjMKKIirvW1i4whVqXZb1OlOVM0q6OxZ4Tt8Z1aPuqJsGeMRWMTI9KTaqmuFlSkls/IiJ3LuZ22JZqZ3L7m1/Y0EE+YlfBLz6kaZmuoKg9w3irzAuD1vQ0j9jYbsTDxmrcIv/xfRHc9iRHL3QIjCIIgTOFKc2NjI11dXSxevLjfuurqajRN48iRI6xfv77POkVR+lSSLeLxOCdPnmTJkiVjdsxjSjRTNI8scg7SWc3ZTgTsjHbx5NHfAjDTX8ml0RIMDkOGXWQssd3TnNlCexT2DDs8zeZzWqJ5/O0ZVqXZ7VLtaxTT3Zx6rGSI5oqM2LnmjjDVVUVZP4dSUAEOJ2gJ09e8YF3WY40VumHw8rumoF88u5C5lcO/twCu2DCHN/Y1ktAMdh5o5pK1g1s6DC1B9LWHiR95A/T05zl+4GU8592Kc9GmKdX8RRAEYbIxZUVzS0sLQJ8qs4W1rLW1td+6wfje975HZ2dnP69yR0cHf/7nf85rr71GR0cHc+fOZevWrWzdunXYMVVVQVXH7o+Uw6Gm/lcSVjVJwenLQxlhaoVlawhHEzido7/x8MS+3xBORFBQuH3lp3AfeIsoZrUrm/FGQyyhEUtW7vL9blueT4v1ph47A4Wow4xZGDArzcFwPOvznXkeHf5CNMCIdI/57+9M2npM0Vxe6MNlU+a11tuSeuwumZH6fZYUePC4HETjGm3dkRxfq4qjeDZa60mMzvpx/71B33M4EO/XtNLcaX5GL9swZ8THuGBWAXMqAtQ29/Lm/kYu2zBn0G1Db/6M+KHfp35WvPkYkR6McBeRFx/AVfse/svuFuE8CMOdQ2FqIOdx6jOZz+GUFc2xmOkhzbRYWFjLotGRTZ557LHHePDBB/n4xz/erwpdW1vL5Zdfzr333kssFuPRRx/l7/7u72htbeWP//iPhxy3pMQ/Ln+gCgp8JJQ4YUD15lFSMrIqFkBhvgeAmGZQXDzyCjXA23Xv8m7zXgCuqr6EdQtW0NlwKCmagxQV5Y3p62/vTtsJKkr9oz7+gehUooQAVCclleXDHv+McvN3bQBOj4vCgCfr5y4o8JEoKSMGEOmx5fWMhq6gWS2fWR6w7bnbYx2EAMXlpWTWrD6/z5llfk40dNMZiuf8fPGZ8+ltPQldp8f995ZJQcHAEyjfOvABAEUBD1ecNx+Xc+QXJZdtnMuPnv6AI3VdRDTz93YmvfteJbr3eQC8c1dQcunteGYtJnzsPVqf+08SHY3Ej7yFc8k5FKzZksUr+/Aw2DkUphZyHqc+k/EcTlnR7HabFb54vP9tcUtQe73D+zK///3v873vfY9rr72Wf/zHf+yz7nvf+x4Oh4P8/LQIvfDCC7n11lt56KGHuPPOOwkEAoOO3d4eHPNKc0GBj+7uMOGuTnOhO4+OjpFbI1zJ4+vujY5qv1A8zH/uegyAEm8RV83ZQkdHkKiefEtpCTpaO1Gc2U/wGo7TLemqMJo+quMfjFC7eXdC8eXT2Tm811Y10mkNtQ1d6AMImuHIPI9RxfyS0EM9tLd1pyLaxoOGVvP3V5DnsuV3CRBqMmPg1ILyfr/P0gIPJxqgvqkn5+fTAqb3N952mvbWThSHfbndIyHzHGpa3wSPhKbzzkFzAuD6ZeX09kQGGmJQ1iwqRVHAMOCZ147yyYsX9VmvtdXS/dv7AVADpXi2fJmwL59wZwhKlhC48e/p/vlfoXc20Pr8fxMrWYwjvyyHVzs9GeocClMHOY9Tn4k4hyMttkxZ0VxZaTY0aG9v77eura0NgIqKin7rMvnrv/5rHnvsMe68807+7//9v/2qikVFRf32UVWVLVu28N5771FTU8OaNWsGHV/XDXQ9tzitkaBpOlokKTpceSQSI3+Ted3WRMD4qPZ74tDTdEXNyWo3L/kETtwkEjq6M+1VjQd7UP3FIx5ztHT1phMrvG7HqI5/MLSgldEcGNF4liccoLM7QmVR9lfGmqZjeKwGJwbx3i7UvKKsxxsNum6kKvel+R5bfpcAiU5TLCr5Ff3GLC0wL2qbO8K5P19hMs7O0Im1nsZROriNYSzRNL3fazlwsoNw1GyHvXph6ahfa77PxYr5Jew/3s7rexv42Ob5qe8qQ9cJPfcDSMRAdeK97MvoLj965nMoLryXfIHQr/8e4hGC2x/Cd83/HbGF68PGQOdQmHrIeZz6TMZzOGW/NSsrKyktLeXQoUP91h04cACXy0V1dfWg+3/nO9/hscce4y/+4i/4+te/PuBteF3XSST6T5CLRExx4fFkfyvebqy0itEkZ0A63ziU/KM+Eo50HOX1028DsL5yDavKlqfWZT5/ZqLHWJCZ+GF3eobiHboboEW+L11J77UhQSOzC6ERGr/JgJ29UbTkBZ6djU2siYCZkwAtrK6AXcEY0djI338DoRalM6D1roacxrKbPUfNuxdul8qyuUVZjbF5pVlJb+mMUFOffl8kTuxG7zwNgOe8W3FULBxwf0fFQtxnXwOAdvoA8Q9eyuo4BEEQPsxMWdEMcMUVV/DGG2+kJgUChEIhtm3bxgUXXDCodWLbtm088MADfO1rX+P2228fcJva2lrOOuss/v3f/73Pck3TeOGFFygqKhowuWPCSArUkWY0W/iSldJINJFqbDEUcS3Oowd/AYDfmceN1df1WZ/5/GMdO5cZwZVnV3pGSjQPbrvJJJCXfl57ugJmiOaM+LuxprVPRrM9PjIjFk69BnUA0VyeUZVv6cotFk0JlELSkqF3TjbRbN75WjGvZFRe5kzOWVKOJzk58419ZiymYRjE9pjNmJRAKa7llww5hnvdx1FLzAp87J1fYyRyzxYXBEH4MDGlRfPdd9+N3+/nrrvu4qWXXuL111/n7rvvJhQK8dWvfhWAHTt2sGLFCh5//HEAEokE//zP/8y8efM477zz2Lt3b79/sViMOXPmcNlll/HQQw/xne98h7fffptt27Zx5513cvjwYe65554BJyFOFFlXmpOi2cAUzsPx7IntNIfNytkN1R8j391XXPZ5/tjYxs5ZXQwV+tokcsGImD5pxTMy0exxOXC7zI+RLQ1OJqjS3JohWu1qbKJnxM2phZX91ldkiuYc22krqoqabGoymURzc2eYhjbzs3nWotKsx/G4HZyzpByAd4+0ohsGWlMNevMxANyrrxjW/644XHg23gSYOeCJmreyPh5BEIQPI1PW0wymReORRx7h3nvv5Z577kHXdc4++2wefvjhVN6yYRhomoaebK/b2NhIbW0tADfeeOOA427fvp2qqiruvfdeli9fzlNPPcVPfvITFEVh5cqV/PCHP+TSSy8dnxc5QlJWiFFWmjPbT4eiiSErtvW9Dbxw6mUAlhVXs3HGOf03ysiIHvNKc9IO4fM4bZtwaUSTonmElWYwPadt8agtDU4UbwAUFQx9XBucWBnNLqeayp7OFasTIJgTAc+ktNCbmuDW0pl7Aw61aCZ6e+2kEs17atKxl7mIZoA11WW8ub+R7mCMk409zNhrVplx+3AtvWhEYzjmrEYtnoXecZrY3udwLr1QIugEQRBGyJQWzQALFy7kgQceGHT9pk2b+vieq6qqBvRBD4Tb7eauu+7irrvuyvk4xxpn1SriR97AOffsUe3ny6jQhiIJKBx4O93Q+d+Dv0A3dFyqi1uX3TDgH1vFna4ejrVoTjU28dlUZdY1SHZPG41oDuS5aeuO0muHPUNRzXzdcBf6ODY46egx4xlL8j22iahUpVl1oPj7C0anQ6Uk30tbdySVYZwLatFM83k7GzAMfVJMdLOsGVXlAUoKcqvgr5xfgkNV0HSDIx8cpuzEuwC4l3+kz+duKBRFwbX6SqK//xF6Rz1a3T6cc1bndFyCIAgfFib+r4pgC56L7iDwBz/AOXvFqPbLtDWEh7BnvH56B8e7TwFwzYLLKfP1byoDoKhOcJniwBhze4YpUm3zM2d0MRxNV8VUV0C7WmnnjX8r7fakaC7Ot29yq9GVnASYX46iDvxVU15kvldaOkcXwzYQlmgmEcMIduQ8Xq5EYxoHT3UCcPbi3KrMYN4Vqq4yr2rzjr8CGKA4cK26fFTjuBafl7IBxfb8LufjEgRB+LAgonmaoCgKinP0gqePPSMysGjujvXw66PmreBZ/hlcOufCoY8laREZ+4mA5vEG7ErOiKZzn0drzwB7PM0Ais8URuMpmjtSotm+5Ayr0jzQJEALazKgnZVmmBy+5g9OtpNIZoyuXpi7aAZYvagUBxpLEgcBcC7aOOpYR8XpxrXCbHCi1e9Ha6+15dgEQRCmOyKaP+Sc6WkeiF8ceYpwsk33rcs+iWO4CUee8RHNIbsrzZHMSvMoRHOeGTtnR3oGpCcDGhNhzyiwr9I8EtFsxc61dYVzzjRXi2akn3sSiOYDJ8xqd57HyaLZI4swHI6zFpVR7WrEp5rvNVf15qzGca34SCptJL5/uy3HJgiCMN0R0fwhx+ceWjQfaD/Mrqb3ADh/1iYWFs4fdsxU7NwY5zT3Wp5mmyrNRLKrNAeSlebecBxjBLF9w5ESzaHxqTTH4loqY9oue4aRiGEEzcZDAyVnWFiV5oRmpIR7tihOjxk9x+QQzUeSecrVVYU4BrGnjJZZpXls8tcDEFU8OGYtH2aPgVF9BTgXbgQgfmwnhjZ8co4gCMKHHRHNH3JUVcHrNivH4TPsGXEtzuOHngQg3xXg+kVXj2hMyw+c6REeC6xKs99nl6c5QzRn4WmOJ3Si8dyadAColj0j0oNhjH03pI7etFi1SzTrPens9IGSMyz6ZDXbPBlwIonEEtQ2me+nxVWDzK7NBkNnpfMkAPtic9By+Ap3LT7XfBANotXts+PoBEEQpjUimoWMroB9RfNzJ1+iJWzO/v9k9bXkuUYYZ2d5msew0mwYBsGwebx5dnuaFXVU0X2WPQOwJ0HDymo29FRu9FjS0Z0WzSU2eZqNzIzmguErzWCvr3miRfOx092pZkHVVUW2jas1Hsajm7+ndyJzOFqfvYXHMXsFijcfgLhkNguCIAyLiGYhFTuXKZqbgs28cNJstbu0eDEbKteOeLy0p3nsKs2RmJYSJX6bPc2Kxz+q2LVARqXblqzmvHRlcjwmA2baImyrNHdZollByS8bdLuAz5VKcLGz0myEOse8jftQ1NSZYtbpUFgwM9+2cRPHdgEQMZwcjM9KRdplg6I6UhaNxMl3MOK52WMEQRCmOyKahZRosewZhmHwv4d+ScLQcCoObl76iVGJSGUcKs2ZLbTt8jSnuwGO3JoB9GkGYntXwHEQze09Ztyb06H0aQueC9YkQCVQguIYekyr2mynaAbQOxtzHi9bLD/zvBn5WbfOPhPD0Emc2A1AvXshCRwcOJlbtJ7TsmgkYiROvpvrIQqCIExrRDQLKdFsVZp3NL7DkU6zPe8V8y+lMm9wT+pApERnLIyhj40nNzMez7ZKs2XPGMUkQOhrz7AjQaOvaB77BA2r0lwU8KDa1dgk6WlW84d/75QXj5VonhiLhq4bKduEndYMvekoRqgTgNjMNQCcbOpJefuzwVG5KDV5Ml7zZq6HKAiCMK0R0Sz08TQH4yF+WfM0ABV5ZVwx7yOjHs+yZwAQz10IDUQwwwZhn6fZsmeMTjTneZ0psWmLaPbmA+Z445GgkdkN0C6MXtM2MJQ1w8LOBieKrxCS3fEmSjTXtfQSiZkTQqtn2zcJMJ6sMuNwUb5yA2C2ID9U25n1mIqipiYEarX7xsVDPxaEowkOnergZGMP7d2RVD62IAiCnUz5NtpC7vgy7Bm/qnmG3rgpHm9Z8klc6ujfIoo7bW8wosFR2x1GQjCj0hywKz3DsmeMstKsKgoBn5PuUJyesA32DNWB4g2Y6RmR8bBnJBub5Njm2cIwDPSeVgDUwPBNPSx7Rm84TiiSyOkiSFEU1KJZ6M1HJ0w0H6lL3x1YZGNyhlZrJlw4Zq9k7uxSfB4H4ajGwZOdrK0e3d2gTJyLziX23m/B0Iif2I172cV2HfKYE4kl2L67jt+9farPd4LP4+D6CxayZV0VqmrP3RNBEASpNAspkRJ0NPFGww4ANlSew9KSxdkNmFFpHitfc+akRbvTM0YrmgECSYuGHekZkLZo6ONYabathXY0CAlzTHVElebpFTtXk7RmzCjJoyDDupMLeqgLvaMOAGfVShyqypKk9ePgqdx8zWpJFUqh2RgmcWLq+Jr3HG3jzx54k1+8cqyPYAYIRzX+d/sR/vmRdzjdOrbRl4IgfHgQ0SyQ53GBopOYtcf82enjhuprsx4v054xVl0BLXuGQ1XwuGyaaJXlREDIbKU9tboCJjSd7qBZHbcvo7k19Xhk9oy0aG7tskM0mwJQ72rC0HPPzR4tR+o6AXvzmbXTB1KPHbNWALBsntk+u7a5N9WcJhsURcE5b435PPX7MRKTP0XjSF0nP3hyL93Jz9vSOUV89VNn8/Vb13LXdSuZW2le+NbUd/F3P96ZUzSfIAiChYhmAZ/HgXPGCVSfKRqvX/RR8t2jr7ZaKO5M0Tw2VZ5gRjfA0SR7DIaRiIJm/gEeracZ0gkauYiXTBSrwckYp2d09mRmNNskmnvTolkNDC+aS/I9WKfQDl+zWpicDGhoGBkCfjxo64rQnsy9ttPPrNV/AJjvC7V4FgDL5han1h/KsdrsnJeMlNTiqeearJxuDfLvT+whntBxO1X++Maz+Pqn17JqYSnL5hWzaUUl37h9PTdcvBCnQyGW0PneL/bQasNdDEEQPtyIaBbQnEGcs2oAmBuYy3mzNuQ0XmaldqzsGVbkXJ7NGc2Qmz3Djsg5yKw0j61obu+T0WyTp9kSqoqCEigeemPA6VBTTVVa7Kg0J60GAHrX+Fo0ajIqmnZWmhPJSrNj9vLUReKcykAqbvHgyc6cxndULobk5zZx8r2cxhpLOnujfOdn7xGMJFAU+D/Xr+LsxWX9LpydDpVrzpvPXdetRAG6Q3G++8SeESeNGIkYWlstWstxtKYa9GBuFyWCIEwPZCLghxzDMNjZ8xKKQ8fQFa6YeTWqkuO1lNNjdtUzdBgre4ZVafbZ3A2Q7ESz7faMvLRoNgzDlmr6QIxJYxMrOSOvGGWEE0nLi7y0dUdotaPSXFCOmT5ioHc2wdychxwxxxvMixyfx8mMkpF3lRwKvbsFIxnh55i1PLVcVRSWzi3mncMtOfuaFdWBc85ZJGreJHHqfQxDR8n1e2AMeOT5w7QlK/mfvWoZaxYPfSdj3dIKbvzIIn7+0lFOtwb54a/28ac3rxk0WlFPxIi8/zsiu37T5zsBRcG5cCPuNdfiKJ1j2+sRBGFqMfm+FYVx5b2WfZwKHwUg0TiffGX42+nDoShKqto8ZvaMpA3Cvm6AGaI5C3uG1RQkFE3YEnelJu0Z6AkYwyYxlmhWFYVCvz2T1qxK80gmAVqUJX3NdniaFac75aXWu8a3wcmJhh4A5lUGbLvQSZxO2yWcs1f0WbdsbhEA9a3BlDc9WyyLhhHqRG89mdNYY8H+4+3sPmxePGw5p4qLzp41ov2u2jg3te3+Ex28+v7pAbeLn3iPuh9+hfDrj/YVzACGQeLo24R+8ZeEtz+AkbDnjpIgCFMLEc0fYiKJCE8c+Q0AetRL4vQiQlF7KqWMcVfAUIan2Q76VJqzmQiY0UkvaEcr7YwGJ/oYTga0ugEW5btti+ayPM3KCOLmLMoLTXtGa1ck1R49F9TCSvNYxlE0G4bByUaz0jxvhn2ts1N+5vzyfs1irMmAkHuKhnPOKlDMSbWTrTtgQtN5dNthAAryXHziooUj3ldRFD5zxRJml5mf65+/dJSuMy4wEifepfd3/0aiO3nBV7EQ7+VfwXfdX+C77i9wrbocHOZFZeLoW4Sf/faEtmkXBGFiyFk0RyIRTp48SSSS+21VYXx55sQ2OqOmIIufXAG6s0+nvVywEjTGLD3Ddk9zjvaMzK6AtojmtB92LBuc2B43B+g9pj1jNJVmK0EjntDp6s29imf5msdTNDe1h1K2IbtEs2EYqeSMM6vMALPL/Kmc8sM5NDkBcwKvY9ZSYPL5mrftqqOhzfwuufGSxaOOmXQ6VG6/ynxtoWiCx188klqXqNtHeNsPQNdQPXn4r/wKeR//S1wL1uGcUY1zRjXezVvxf/pbOBesB0BrOEToqX9BH4c294IgTB6yFs2HDx/mzjvvZP369Vx11VXs3bs3te4b3/gGBw4cGGJvYaI53dvIS7WvAbCyZDl6ZwVgdtayA2WMK81B2yvNSRuJw43iHL1NIT+jwYr9rbTHQzTbNAkwFkrZSUZTaS4bo9g5I9iBER+fC/qaZNQcwPwZBYNvOAr0jrrU+c/0M1soikJ1csJhZlOVbLEsGnrbqZQ3faLp6o3y69ePA7BoVgGbV88YZo+Bqa4qStk03trfxP4T7WiNRwg/9++mDcrpYcYt38C9aMOA1hrVV4B3y5dwLbsEAL3tJOHf/uuUiOgTBMEeshLNJ06c4JZbbuH111+nqqqqz7r29nZ+85vf8NnPfpZjx47ZcpCCvRiGweOHn0Q3dFyqk08t/Tgup/lWCNklmsfQ06zrRkrc2+1pzqbKDGdUmm1I0OgrmsfOnmF3C22rygyjrDQXpkW7LZMB+yRoNOU83kioSVZ6vW4HFcW+oTceIVp9Rj7zAJVmMMUgQF1zb853ipxzz049TtTuHWLL8eP5nbVEYxoK8OnLlww6iW8k3HjJopSV6mfP7yP84gOgxcDhInDNV/FWLR1yf0VV8Vz4WdxnfxQAvb2W6Ov/k/XxCIIwtchKND/wwAM4HA4ee+wxfvazn2FkeBBLSkp48sknURSFhx56yLYDFexjZ9O71HSalZsr522hzFdCXrKVtm32DCureQwqzWPbDTC7lt+ZrbztyGpWHM5UBNhYVZo1Xaez1157RmYu8kgymi0K/G7cyQs3W7oC9hHN42PROJqs9M6tzM9J2GWiNZk2ArVoFqpv4Op19Zxkpjdw9HRuF1hqQUWqO6A2CURzOJrg5ffqAVi7pJwFM3Or4Ad8Lj71EbPT6cbI6xjJarr3ks/jmt2/kj8QiqLg3ngTzvnrAIgfepX4oVdzOi5BEKYGWYnmt956i1tuuYU1a9YMeBtr0aJF3HLLLbz99ts5H6BgL6F4mF/WPA1Aha+My+ZdDKTFp32VZsvTbH+lOZiRter32VxpziI5A8DlVPG6zUlUdsXOqV7TFztWleau3hjW9a59cXMZ3QADJSPeT1GUlEXDjqxmJVACDvO9MR6i2TAMjtZ3AjDfzkmATWZ+umPG4C3t51Xmpy44cvU1AzirVgGQqP8AQ7fn+yBbfv/+acJRs6vjVRvtyQ48b+UMNpZ0cpH3EADq/HW4Fm0a1RiKouC9+HMoyYmZkdd+itZea8vxCYIweclKNLe2trJ48eBf4gCLFy+mtXV8u3EJw/P08efpiZkC8VNLrseVzNG1Ks12eZrxjJ2nORhOH6PdnuZskjMsUl0BbctqNiuI+hhNBOzo0w3QHk+z1UJb8RWO2hteZiVo2GDPUBQ1naDROfaiubUrkrpYsmsSoN7bhpFsquGorB50O6dDZeEsswJri695zmrzQTyM1jxxFruEpvPCLlOILppdYFuzGEWPcZP3dQCCupt3iy7PbhyPH9/lXwaHE7QYkZcempC27YIgjB9ZiWa/309X19Bfzg0NDeTl2RPuL9hDbU89v697A4C15atZXroktc5nuz0jKT61hO2ZppldvSaLpxkg4Et2BQzb3BUwMvaiuSjfpoxmq7HJKPzMFuWF9lWaITNBY+w9zSca0ufIrkqzVWWGZMe+IbB8zccbuokncssJd8xcBsmL6Ym0aOw62JxqSW5XlRkg9t4zuCPm+/SXoQ38aldb1r8zR9l8PJtuBszJk/H922w7TkEQJh9ZiebVq1fz5JNP9vEyZ3Lq1Cl+8pOfcNZZZ+V0cIJ96IbO44eexMDA7XBzQ/XH+qwfK3sG2F9t7u0jmm1qapmqNGcvmq1Ks21dAce4lbblZwYoCtg1ETCZczuK5AyL8iKz0tzRHbWnQUxKNDcM+l1lF1ZTE6/bQaVNnQBTotnjT/mMB8PyNccTOicbe3J6XsXlwTHTvKBO1O3LaaxsMQyD3+04BUBFsY+11eXD7DHCcSO9xPY+B0CouJpdsYW0d0f5/SANT0aCa8UW1PIFAER3PTmlW253h2IcO91Ne7c9eemCMN3ISnHceeedfO5zn+Pmm2/msssuA+Dtt9/m8OHDvPPOOzz//PNomsbnPvc5Ww9WyJ63GnZxvNv8I/TR+ZdR7C3qs95ue0amzcGIBiGvaPCNR0lmNdyOnGbD0DMmAuYgmu1upZ3MajZCY9NKuzOZhxzwuXA67OlzZFWaR5OcYWF5mg2grTtCZXFu4tOKnSMWxoj09EkksZvjyaYm9k4CTPqZKxcPe+4XzSpEUcAw4EhdZ85WBmfVarT6D9BbTqCHuwedhDhW1NR3carJ/ExeuWGObY13YnuehWQEYenFtzAv2M7Jxh6effskW9ZXDbP3wCiqiveCzxL61d9CPEL0jUfwXf6HthzvWGMYBnuOtvHSu/WcbOzp0/TF6VCZWZrH5lUzuPCsWbZNuhaEqUxWfynPO+88vvnNb3LkyBHuu+8+AH7wgx/wzW9+k9/+9rc4nU6++c1vcu6559p6sEJ29MaD/OroMwDM8Fdy6ZwL+21jvz0jQ/DY3ODEymh2u9RUVF5OxMJYM+Jy8zSPjT0DLZb6Q28nVqXZriqzEY9iRMwqZzb2jLIxjZ0bO1+zYRipSvP8mTY1NYlHU62sh7NmgPn5nVthPrcdvmbHnFXWkaDV7895vNHy6p4GADxuB+etyi6X+Uz0cDexfS8A4Ji7BmfFIq49bz4A7d1R3v4gexuPo3w+rhVbAEgc30Xi1J6cj3es2XesjW8+vJt/e2IPe4629e+SqOnUNvfy+Is1fO3+13l02+E+1jhB+DCS9aXjDTfcwJYtW9i2bRuHDx8mFAoRCARYsmQJW7ZsobDQnkkbQu785ujvCMZN4XrzkutxqI5+24ytPcPeBA2rTbXdfmbIsdKcMRHQjsqwmtkVMNyN4rYn+9ciJZpt8jNnJmdkZ89Ivz7bY+c6G2DGkiG2zp727mgqZnCBTU1NtJbjYJgWlZGIZoDqqkJONvVwpK4T3TByqnirxVUoeUUYoU4StftwLT4v67FGSySWYOfBZgA2LqvA67anwhl777eQnF/hWf8JANZWl1FZ7KOpI8yzb53kmgsXZT2+Z8MnSRzfhRHqJPr24ziqVqGo9tzBsZOEpvP49hq2v1OXWlYYcLN+aQVzKgJUFvvoCsZo6giz92gbNfVdRGMa23bV8c7hFj5/zYo+7dsHwtA19M4G9Jbj6L1tKG4fiieAkl9m3jkZ4G+QIEwFcvo2Kioq4sYbb7TrWIQx4ET3Kd44vQOADZVrWVI88B8Fy54RT+jEE3ruFdyMSrPdrbRDtncDzBDNOXiaraxmTTcIR7Wcb2cqeWkBpoe7U2kQdmHZM2yrNGc0Nsmm0uzzOAn4XPSG4/bEznkDKJ4ARrQXYwwnA9a2pN8/c+2aBNic9DMrKo7yhSPaZ8mcIrbtriMYSdDQGmR2efbvZUVRcFStJnH4VbS6vRiGjqKMjwDcdbCFaMxMobjgrJm2jKmHOol/8CIAzgXrcZTNA0BVFa7cOJeHnzvEqaZe3jvcwvyK7O42Ke48POs/SeT3/43eUU/i8Gu4ll1ky/HbRW84zv1P7uXgqU4ACv1uPnrePC5ZMwuXs7+Q/djm+Rxv6ObZt06y61AL7d1R/vV/3+Wqc+dyw0WL+tlm9K4mYu8/Q7zmLRikU6LiCeBccA7O6vNxzhy6mYwgTDbG9FswHpdbOROJbug8lpz853V4+cTiawfd1pch8OzwNfepNNtuz7C70pyuhOdWac7oCmiDRWOsuwJ29thrz+hbaR69aAZ7Y+cAlCJrMuDY2TPqk6LZoSrMLLVpEmCjKZrV0rkorpGdn0wfs53Rc0a4G71t/DKIX9trWjMqS/JYPNueO5bxfdtAiwMK7nXX91m3edWM1F2iX75c03/nUeBccj5qsdmqO7r7SduTg3KhvTvCN3+yKyWYl88r5u8/v4nL188ZUDBbLJhZwJc+sZovXb8Kv9eJATz71in+4zf7UxN29d52wi8+QPBnf0b84Ct9BfMZ0ZNGtJf4wd8TfuqfCD17H1pH9pMwBWG8yaoUtnz5yDsnffDBB9k8hWADr9W/RW2P2U3r2oVXUOgZvApmVZrBtGgU+HO7Za+oTnB6IBG1PT3D8jTb3Q0QgFwi5/IyugKG4lQOfQdzWJQz7Bl2EotrKStOccDmuDlPYMRC70zKinycaOyxxZ4BoBZWojfVjKlormsxL7qqKgI4HSqJHCPfDMNAz5gEOFKKAh4qinw0d4Y5UtfJJWtn53QcztkrsGYXJur2paqzY0lzRyjVoOWC1TNsmfxqJGLED7wMgGPuWThK+k74c7scbDmnil+9dpz3DrdwsrGH2WVZVptVB56NNxF+7t8wgh3E9r2AZ801ub6EnAlG4nznZ+/TnPxcXbauipu3LMYxCvvI+mUVLJpdyA9/vY+aui52HmwmFE1w93od/bX/Tn+PKg6c1Ztxzl+Lo3wBSl4RGAZGLIjedJT48Z0kTrwDsTBa7R5Cdftwrbocz8YbURz2FEIEYazISnXMnDnwLbN4PE5rayuGYbBs2TLy8+3rjCWMjp5YL785ZkYrzQ7M5KLZQ3sS8zzpLyvbJgN6/BiJqO1dAe2vNGfYM9zZVwrzM0SzHQkaitMNLi/EIxgheyvNnRmTfgptqzQnRXMWfmYLK3autcueSnM6dq4ZQ9fHxGNal6w0z8uxxbOF0dWUEiCjEc1g+pqbO8Mcrs39/aJ4A6jlC9Gbj5p5zeMg/l7ba17cKApsXmWPNSNe82bq9+ledcWA23zknNk889ZJYgmdZ986yeevXZH18znmrsExYwla42Fi7z2Ne9nFOd3BypVYXOPfnthDfav5PXz9hQu47vwFWY1VnO/hazev4YFf7WPv0RYWNT6Ptt0qjCm4VnwE95pr+s9pUBQUbz7qvDU4563BiIWJvfdbYnt/B1qC+N7n0BoP49vyJdQCe+IFBWEsyEo0v/jii4Oui0ajPP744zz++OOpZA1h/Hmy5reEE2ZV4Zalnxhw8l8mdtszwBSgRrAdbK40pzzNPpsrze68nCao5Psy7BkhuxI0CjHiEdsrzZ099mc0G73tAKijaJ99JlaDk95wnHA0kUp1yZbUZEA9gdHbilJQkdN4Z5LQdBrbzPf3fJtEs9Z8NPXYUTm6iWnVc4p4fV8jbd0R2rsjlBTk1unRWbWKWPNRtKYjGLGw7ZNRM9ENgzf2mdaMVQtKbWntbhgG8WRihlo8G8fsgcVwfp6bC8+exfbddbz9QRM3XrIo68+Foih4Nn2K0K+/CbEwsfefwbPpU1m/hlzQDYP/+M1+apJ2nUvPmc3HNs/PaUyPy8GXrl/O4f99hrkRsxV5SMmj6Mq78cxdPaIxFLcPz8YbcS2/hMhrP0Gr3YvecpzgL/8a36VfxDl3TU7HKAhjhe1lF4/Hw+23385VV13Fv/7rv9o9vDACajqP83bjbgDOnbmehYXzh93nTHuGHVi+5rHyNNuR0Qz2dAME8HkcOJITY6w0hVxRx6jBSd/GJjalZwRN0az4sxfNZUVpkWdLgkbR2MbONbaF0HQzrnCenckZgOLNRxmlN7x6jHzN6Bra6YM5jzcUNXVdqQ6A56+2J2ZOaziI3m6mRLhWXT6k3eOKjXPMfXSDl96pz+l5HZWLcc5bC0Bs/zZ0m+8UjZTndpzi3SPmXIMNyyr49GVLcra8GFqCxMsPpgRzTbyCf2y/hh+9q6Dro2uIouaX4bvqT3FvuNG8vRALEX7u34kf/H1Oxzje6IZBQ1uQN/Y18NyOU/zmteP84pWjPL/jFLsPtXCqqQdNz71hkzDxjFla+Xnnncdjjz02VsMLg6DpGo8fehKAPKeP6xd9dET79RHNdmVxJq0Odnqa4wmdWNz88gnY5mnOvRsgmBWmQJ6Lrt6Y7V0BdZsnAlrJGQrk7F8HMHQdo9fshJaTPaMwXcls7YowtzI3i5daUIn5Kg30zkaYY2+X0rrWtLXHtGfk3kVNaz0BgFq+YNQCZ0ZJHvl5LnpCcQ7XdbJpRW6JK2r5QvD4IRokUbcX5/y1OY03FDsOmAknHpeDsxdnN5H0TKwqMx4/ruqhLWozS/2sX17JrgNNvPRuPddunjfkBLnhcK//BImT70IiRuz9Z/Ced2vWY2VDTX0Xv3zlGADzKvP5/LUrcm4SY+gJItvvNz3JgDprJa+FPkJPTzc7DjSTn+dm6+Wji3ZUFBXP2mtxVC4i/ML3IRo0E0gi3bjPvsb2pk52kdB03q9p4419DRw61TlssSnP42T5/GJWLyxlw7KKEd9FMwwDEjGMRNSM7hPf94QyZqI5EokQDNrrZRWG55W61zkdNCtq1y26inz3yISg26XiUBU03RiDSrN974NMQT/ZKs1gWjS6emO2Nzixu9Lclaw05/vdtnQDNMJdYJgxYbnYM0oLvUmJC602VJoVpxslUILR2zYmleb65CRAr9tBRbGPzs7cLhANXUNvNTt3Osrnj3p/RVGoririncMtHLHD16yqOGevJHFsB4navTmPNxi6brDrUAsAZy8uxePKPcdX72k1RSuYvmLn8HaL6y5cyK4DTfSG47y1v4kLz56V9fM7SufiXLCexPFdxD94EfdZV6H6c5wdPEKCkTj/8et9aLqB1+3g/1y/MucYUcMwiL7xaEowO+asxnf5V/ii4eDbj79HTV0X23fXMbvczyVrRj8J1TlrOXnX/QXhZ76FEWwntuMJiIZwb7xpUgnnUCTB73ac4vfv1dM9QHFEwWzK43SoBMPx1GV0KJpg96EWdh9q4X+3HeG8lZVcek4VVRXpvzuGnkA7fRCt8Qhay3H01pPm36fkdysALi9qXhFq+XwcFYtwzKhGLZ03qX5H0xnbRXMikeDYsWN8//vfp6oqu7akQnZ0Rrv47XGzsjI3v4rzZ20a8b6KouDzOFNeUjuwuuvZWWnuzZikaLenOZdugBbWZEC7K81jZc8osqHKDJje9SS5VJqdDpXiAg/t3VFabJwMqPW2oY9BVnNds/neqaoI2PJHS+88bXaABBxl2U3Wqq4q5J3DLdS39BKKxHO+uHRWrSJxbAdGTwt6V5PteeEAh2o76U5OTt2wzJ7x44deTXb6VHCt3DKifdYsKWd2mZ/61iAv7KrlgrNm5nRe3es+QeL4btDixN77Ld7zP5P1WCPFMAx+/OxB2pJWl89etSznlvQA8f3bUlnXjlnL8V3+FRSnGw/wRzecxTd/sovmzjCPPH+YmSV5LJ07+gsER/Es8j7+F4Sf+TZ652li7z8DDleqGc1EktB0Xnq3nqdeP9HHflcUcLNhWSWLqwpZOLOAkgJP6j2T0HTae6Kcbgmy/3g7e4+30dwRJhrXePm907z83mnWLS3nkytVipt3kzi2M9VVdVDiEfSuRvSuRhI1bwFmLr5r4Uaci8/FUTp3zH4HwhhHzv3Zn/1ZNsMLWfLLI08T0aIoKNyy9BOoo2xGkJcUzXa30h6rSrPd6Rm2VJrtFs15SY9qPIKRiJmJGjaQamxiw2QrSCdnQG6VZoCyQp8pmm2LnZuBVr9/TCrNVtzcnBwaiWSit5xIPVazqDQDVFcVAWa1vqa+m7MWZX8RA2ZF0SJRuxf3GIjmnUlrhtft4KxFub1/wLQLxQ+9CpgtwUfaoVJRFK7YOJcfPXOAupYgB092sHx+9sfjKJmNc9EmEkffIn7gZdxnX51Vt8zRsCtZzQS46OyZOVt0ABKn9hB981EAlMIZ+C7/wz7fRQGfi6/csJp/+OluIjGNHzy5j7/6g/WUFY5+4qgaKMX3sT8j/PQ/o3ecJvbOr8HpntDovhON3fzn0wc43Zr+W7ZqYQlbzqli1cKSQaP7nA6ViiIfFUU+1lSXYRgGxxq6efmdet4+0MR8pYFzTz9PoKWRPn8xHE7Usvk4yheg+kvAk4fidGNEQxiRHvTuZvTmY6nvNKOnldj7zxB7/xkcM5bgWnU5zvnnSOfFMcDWyDkAl8tFRUUFV111FZ/+9KezPjBhdBxsP8Lu5vcBOH/2JuYVzBn1GL6xaqUdi9jWUSwYzqg0TzJPM6S7AvbabM8A0wKh5NsTx5SqNNuW0ZysNCuKmcuaA+VFXg7X2hg7l5wMaPS2mb7AEdymHwnhaIK2bvMYM2+x5kJqEmBeUda38udWBnC7VGJxnSN1nTmLZtVfjFpchd5RR6JuL+5Vl+U03ploup6yZqytLsvJR5was25f6u6Ha+nouvKdv3oGP3+pht5wnBd21eUkmgE86z5O4tjboCeIvfs03gs/m9N4Q9EbjvPI8+YEvdICL7dsqc55TL2nhfD2H5pVe4+fvKv+ZMC7crPLA3zxYyv53i/20BuO871f7OX/fWYdHvfoz6fqK8B3zdcJ/eafMLqbiO34OYrDhXv1wJGBY0VC03nmzZM89caJ1ITf+TPyuekji1k+TCvxgVAUhUWzCpnv7eEm7dcoTYdS66KGkw+0ufiWns/aiy7E6Rr+u9mI9JKo3UPi2E7TPqUn0BoPozUeRskvx3POdTirN09a8azpOg2tIWpbeqlr7qWlM0x3MEZPOM5Z1eV8esvoIjfHA9sj58abQ4cO8e1vf5t33nkHTdNYsWIFf/Inf8KGDRts2a++vp5vfetbvPHGG4TDYaqrq/k//+f/cPnll4/lyxo1vzuxHYCAy891C6/KagxrMmDY5kozGBALmxOKciRos6fZ0BIQN4WP4rXDnmF+0dlnzzijwYntotnmjOa84py/oK3JgK2dYQzDyNn2kIqdw8xrdpSO/oJyICw/M8Ac20TzCQDUsvlZj+F0qCyaVciBkx0cSTYKyRXHnFXoHXVopw9gaHFbJyMdPNmZut29YblN1oyDrwBmAomVYjFS3C4HF6+ZxW/fPMn7Na00tYeoLMne3qAWzcS5eDOJI68TP/R73Gs+imrT5/hM/nfbkZTP9rNXL8Xrzq2wYOg6kZcegngYFBXf5X/Y5/N0Jmuqy/jkxQv5xSvHqG3u5b9++wF3X78qq8+wmldE3rVfJ/Sbf8TobTMr3U437uWX5PCKRk5Xb5Qf/mofh5MpNB6Xg09dupiL18xCzfI7yYiFie7+FfF9L6AY5oR2w+1nn/cc/ufkbCKGG3bC3FPvccfVy5k3Y+iJ0Io3gKt6M67qzRiRXuKHXiW2f5tZIOhpIfLKf6G8+xSeddfjXHyuLYWrXGnvjvDukVY+ONHOwVOdg9pBm9pP8okLFuDO0YtvN5PraEZJbW0tW7dupb29nXvvvZf7778fv9/PHXfcwZ49e3Ler6uri8985jN88MEH/M3f/A3/+Z//SXV1NV/5ylfYtm3beLzEEVPkKcShOLh56Sfwu7L7grdEs12V5kyRbFfsXDBD0OflmOELfbsB2lFptuwZkZhGPMfOcJCOnAMwQvb4mqMxjXDUnFhid0azkqM1A9Kxc7GEnvK55kJf0WyfRcNqagL2VJoNLYHebk0CzM7PbGFFzx1r6LHlfeisSlo0EjG0xiM5j5eJlZrh8zhZmWNVF0APdZE4+R5gtrVWHKP/nrj0nCocqoIBbNtdl/Mxec65DhQVdI3YO0/lPN5A7D3Wxpv7zff3+atnsGpB7jaQ2HtPozUeBsC99mM4Zw1vzfzoufPYuNzMQ991qIWn3jiR9fOrgVLyrv3/UJJ3XaKv/oT44dezHm+kHK3v4m9/vDMlmBdXFfK3n9vAR9bOzlowJ04fJPjEN4jvfQ4MHRxu3Os/Qf7Wb7P5ljv52mfOY14yLehUUy9//5Nd/PylGqJxbZiRTRRvAPfZV+O/5V68W+5OtXM3upuJvPQgoSf/jsTpA1kde66EIglefKeOf/qf3dxz/xs88sJh3j3S2kcw53mcLJxVwNrqMj6ydjZ//gcbbev6aycjOqJf/epXWT/B9ddfn/W+w3H//fejaRoPPvggJSXml+26deu48sorue+++/jxj3+c034//elPaWho4Omnn2bxYvM2wcaNGzl27Bj33nsvl11m723KXPjsilu4ddkNeBzZ32633Z6R0V3PiAWB3Ksrlqc5z+PMOT4JwIikq4V2eJotewaYt0pzbdCQac+wK3auM2h/YxMro1nNIaPZorwo7YNs6Yrk3LFQCZSCwwlaAr2zIdfDS2GJ5qKAu895zxa9ox4087OXTXJGJpavOaHpnGjsTv2cLY4Z1eBwgxYjUbvXbLFtA5qup3KEz1lSlnPCA0DiyOuptAHXstFZMyyK8z2sX1bB2x808dqeBj5x4YKc7myphZW4llxA/NDviR9+zeyaZ6M3PBbX+Olz5q3+Ar+bmy/N3ZahNR8jtvvXAKgVi3Cfc92I9lMUhTs+upym9jAnm3r41avHqSoPcM6S7L7/1YIK8q75OqGn/gkj3E3klf8EhwvXoo1ZjTccb+xr4MfPHiShmXaMq8+dyw0XLcr6742hxYnu/AXxPc9hRVI6563Fs/nTfe44LJpdyF9+dj3b36njl68cIxrXePZtM+f5s1cvG7EdRFEduBZtwrlgA4ljO4juehKjuwm99QThp/8Fx9yz8Wz6FI7i0SecjJaOnigv7Krl5XfricT6iv9ZZX5WzCtm+bxi5s3Ipzg/PYHS6VQpLvbT0TH5EthGJJr/7M/+bNS3V6zbqmMlmg3DYPv27WzevDklfAHcbjeXXXYZjzzyCF1dXRQWFma937Zt21i2bFlKMFt89KMf5Z/+6Z84dOgQS5cuHZPXN1oURclJMENGpdnGNtoWdlea7boCtb/S3LcrYM5dzVzelFixK0EjsxtgoW2eZquFtg2V5sys5s4wi2cXDrH18CiqilpQid5Rb2uChjUJsMqmSYCWnxlys2cALJxVgKoo6IbBkbqunEWz4nTjmLUMrXYPWt0+4OacxrM4fCptzVi3NPdujYZhpBpjOCqrcRRlHxl3+fo5vP1BE9G4xqt7GrhyY26pBO5zPkb8yOuga0Tf+Q2+j3whp/Ey+d3bp1JzAG7dUp3zRZwRjxB+6T/Miw+XF9+ld43KduVxOfjKDav5u5/sojsY46GnP+Abt61jdpafFbVoJr5rvk74qX/GiPYSefEBcDhxzT8nq/EGwjAMnnnrJL9IZlt7XA7u+OgyNuZgGdK7mwm/8AP0tpPmAo8f7wW341o0cLKVqipcvn4Oa6vLePi5Q+w71k5zZ5h//d93uejsmXzqI4tHfPGmqCquxefiXLCe+IGXiO3+NUa0F+3U+4Rq9+BaejHu9dej5jgHZSDqW4M89/Yp3tzfmPKCg2lj27Sikg3LKvoUR6YSI1IeX/7ylyddBmBjYyNdXV39BC1AdXU1mqZx5MgR1q9fn9V+a9eupaamhquu6u8Prq42r+IPHjw4aUSzHVhC1L7IuYxKs00JGpan2W9DZQ/SyRlgk6c547h6bOgKqCgKSl4BRk+rmYVsA1ZyBthTaTa0eErQ25EMUBgws6MTmm5rgoYpmu2xZxiGQX2y0jy7PPf3DaSTMxR/CWpebhcKPo+TOZUBTjb2mL7mc+flfHzOOavRavegt9eiBztsyRx+57BZZfa4Haycn/t4evPR1DnOtspssXBWAYtmF3C0vpvtu+u4fP2cnO5uqfnluJZeRPzASyRq3kBbe01Oot6itTPMb98yRdmyuUUpa0QuRN98FCN5gendvBU1i/bzJQVevvyJVdz76LtEYxrf+8VevvHZ9VkLekdJFb5r7iH09L9ALExk2/0oV/4RThsaFum6waPbDvNishNkUcDNn35qTU5zFRIn3iX88kOQjFx1VK3Ce/GdI/rclBX6+NObzuat/U387/Yj9Ibj/P79Bt6vaeMzVywZ1QWm4nDiXnU5riXnE3vvt8T2Pg9anPjBl4nXvIn77I/iPusqFFdufwuM5AX6s2+d5P2j6TQlBVi7pJyrNs3NuQAyGRiRaP7KV74y6oFDoRDhsD1/8AaipcWcbZ1ZLbawlrW2tma9X2dnJ/F4fNTjZ6Kqii0WgsFwJJtSOGxoTgFpa0EkpqGoDBqjM1KMvPQXjpqI4LTh1qsl6AM+ly3jafF0BdzlL0DJccyigvQXTyiSGNExDnce1bxCtJ5WiPTY8pq7Q8lugAqUFHpyPs9asDP12FlQZssxlhd5aWgL0dYdtWU8R/EMEifA6Gq0ZbyOnmjqrsfcynxbPot62wkAnBULbDnGpXOLONnYQ019F6pDydqLaaHMP4voG48AYDR8gHPZhTmNpxsG7xwxv4/XLC7DZ8PE3mjNG+YDpxtv9cZRfZ4HOodXbZrHD365l9auCHuOtbF+WW6CNG/9dXQdehX0BPF3f4Pn8i/lNB7A4y/VEE/oqIrC7Vcvw5VjY5jYsV2par1r0Qa8Ky7Kumi2fH4Jt1+1jB89c4DmzjAP/mY/X7t1TdbfOc4ZC3F87Ov0/OZfIB4h/Pz3CFzzNVxVabvQaD+LsbjGD3+9LxXTN7vMz9duXUtZoTerYzR0jfDbTxB997fmAkXBt+kmPGs/OuqJeBeumcXZ1WU88vxh3tzfSFcwxg+e3Mf6ZeXcfuWy0UWGOgO4Nt+Mb/UWwm//gtjhNyARJbb7SeIHXsK38ZO4l12EMspzo+sGuw+38MybJzhan74b6nKoXHDWTK46dy4zS0deWNCjQeLH3iVcMRNHae42I7sZM5f1888/z3e/+11efvnlMRk/FjP/8Ltc/b9orWXRaLTfupHul+34mZSU+MelQl9QYM9tjvKMN7bH5+ljNcgGw8ijU1HB0PE64hQV516RiyRbaBcXeCm2YbxONUYIQHVSXFGa8/nKzzgXGsqojnGw8xgtKCHUdBRHvNeW1xy2fof5HspKc2tTDRDuDmF9VRbNmo3HhmOcVR6goS1EZzBmy2t2zJpH9F3zjkeBR8ORVzD8TkNwvCl952TF4vLUucv2s6gnYnS0mRPOAnOX2PKaz1k2g+d31BKMJOiN6sk239ljFC0iVFhBoqsZpfEDis/LLqXH4tDJdjqSVqGL183J+TXriRhdR98GILD8PEoqs2vFnXkOLz93Po+/WENrZ5jt79Rz+Xm5TdCk2I9xzhV073qG+JG38V9yM+6K7G0fuw82pcTexy5cyOolufmkEz3t1L3yIwAc+SXM+viXcfhysx99cssSmjrDPPPGCfYdb+cXrxzni59Ynf13bfFZBPL+gsbHvokRjxJ89jvMvPUv8c7pO0lxJJ/FnlCMf/qfdzhwwpyTsWJBCd/43Kas//YlejtofvI7RE/tB8DhL6LiE3+Kb96qrMYDKC728/8+t4ldB5r4wRPv09oZZtfBFg6c6OCOj63iik1zR/e7LPbD3K8Sbbye9u0PEz6xFyPUSejl/ya+/wVKLtlKXvX6YceMxTVe3FXLky/X9Mmv9vtcXHP+Aq69YAHF+SO78DAMg1jjcbrfeY7e/a9ixKP0Kirzv/YTVBtSt+wka9EciUR44YUXqK+vJ5Hoezs/Go3y3HPP0dVlz+3kgXC7zTd1PN7/FrgleL3e/idspPt5PJ6sxs+kvT045pXmggIf3d1hNC33GfJGxhgNjd0kinMX44onDyPSS6izE8MGU393MirN5VBsmSQQ6kimPnj8ObdAtsjzOglFEjS19o7oGIc7jwmX+aUR6+6w5TU3Jb/gCvxuW8aLNpxOPe418gjZMKbVqfB0y8h+h8ORcKfvGLWfOIZzZm4VjAPHzLtMigL5bpXu7nBOn8VE0zHQze/ReP5sW17zrJL099Ou/Q0UeHPPalWrVkHXi4SOvkd7W8+oq1KZvLTLTApxOVQWzQjk/JpjNTvQrYm98zeNerzBPodbzpnN4y/WsP9YG+9+0MD8HC8+lJVXwbsvgBan6cVHCVw5+ju5APGEzg9/YaY9FfrdXL1xTk6/Q8PQ6X3q39DDPYCC7yNfpDuiQiT39+KNFy/keH0XB0528PTrxyn0u3LziOfPw3/1n9D72/sw4lFO/+83yb/u/8NZuWjEfxdbO8N867H3UoJvw7IK7rp+JYlonI7o6K118fqDBF/4AUbI1D3OWUvxX/5lIv4iIjZ8nhfNCPAPX9jEEy8fZdtO82L4+z9/j+07TnLrZdWjf196KvFcfQ+OU3sIvfkYens98ZZamn7+zzhK5+Bdew2uxZv6edl7w3Fe3F3H8ztr+6QblRZ4uXLTXC5eMwufxwkJbdj3ox7qJHb4TWIHX0Nrr+2zLq96HT1hHT00PpMBR3rRnpVobmpqYuvWrdTX1/fJUT3z8TXXjF0Hn8pK84q6vb2937q2NtNPU1HR/1baSPcrKirC7Xanlo10/Ex03UDPMMGPFZqmk7AhVsqTcSuzO2jDJDYAdx5EetHCvbYcozVpKM/jtGU8PWS2LFW8flvGA9PXHIok6ArGRjXmoOfRk5881i5bjrGjx5wwVJjntmW8RJdZ6cLhQnP60W0Ys7TAFHxt3REi0QTOHC1IeiD9WY23n4byRTmNd6rJfN9UFuehKkrqj3O2n8VY07HUY6Nkni3nJeB1UVHso7kjzMFTHVx0du7+WXX2Stj/IkY0SKzxKI6K7H6PhmGw80AzACvmF+NyqDm/5shBswOg4i+BymVZj3fmOTx/9UyefPUYsbjO794+xeevzTE5xFOAa8WlxPc+R/zoTqKNx3GUjd5z/uxbJ2lqNy/0b/rIItzO3H6Hsb3PkajbB4DrrCtRZmT/OxyIu69fxT/8dDdN7SEeff4wJQEPa7NM1ABQZpitvMPP/xvEI/T85l58V/4x3rnm+Rnqs3iysYfv/vx9upKib8s5Vdx6WTUqyqhfs2HoxN5/ltjOJ5Jt2zF9whtuQFcdtnwfWrgcKrduqWbD0gp+9OwBGtpCHDjZwV/91w42Lq/g+gsXMmOUmeLK7NXkfXIF8cOvEdv1JEaoE62tluC2B1DefBzXkgtwLb2QxpifF9+p4/W9jX1i8KrKA1x97lw2LKtIfU8P9Ts0ElESp94nfvh1tNq9ZvyehcOFa/G5eFdvoXzpajo6gra+B+0gK9H83e9+l4aGBj75yU8yb9487rvvPm677TYqKip466232LdvH//wD/8wppFslZWVlJaWcujQoX7rDhw4gMvlSk3Yy2Y/VVVZunQphw8fHnA7gBUr7Ildmiz4MnKP7esK6McAjFjuVVzDMFLJHnanZ9iRnGERyHPR1BGmN2RzV8BYyJbGEh02t9C2Oq8p/hLb7Ejlyaxmw4D2nigVOc60Vrz55gVcLGTLZEArbq7K7kmA+WWo3twtMxbVVYU0d4Rta3LinLUCFAcYGonafVmL5vrWIM0d5pyXc5bmHkWph7rMP8CAq/q8nCrgZxLwuTh/1Uxeereetz9o4qZLFuUcg+hecw3xAy9BIkZ015PkXfUno9q/vTvCU6+fAMwM4fNWDt5wZCRo7bVEd/wcALV0Lp4NN+Q03kAEfC7+9Kaz+ObDu+kNx/mPp/bz1U+tYcmcoqzHdM49C+9lXyLywv0QDxN+9luol38J1l086D57j7Vx/5P7UsLvpksWcdVoLQ5JjEgvkVf+i8TJd80Fbh/eS75ga6rHQCyuKuRv7tjIs2+f5Nm3TxGNaew40MzOA82cvbiMy9dXsWxe8Yhfk6I6cC+7GNfi84gfeYPY+89idDdhBDuIvfsUsXefoi1RhjNWRbk+m9MUs3ReKVefO5eV84f+3jd0Db29Dq3xCInaPWinD4DWt5KvVi42xfnCDSgevy1zOsaKrJTHG2+8wa233so3vvENenp6uO+++7jiiivYsGEDX/jCF3jmmWf4+7//e1avXp2q7I4FV1xxBb/85S9paWmhvNz84g2FQmzbto0LLriAQGBgITTS/a688kq+9a1vceDAAZYvN/1Suq7z9NNPs2TJEhYuXDhmr20iyBSitsXOJbOa7Yici8a1VHyN34ZJQ5DRQtuGjGaLfN/YdgVUckyosL8bYDKj2Ya4OYszY+dyFs2Kglo0A735WM5ZzZquc7rVfD/bFjfXasbNOXKMmjuTJVVFvL73/2/vvsPcqK+Fj39nVLf3XXu97t1gUwwGg00vxoZgAwmhx5gXHGoI3CS8kEvIvZfqlNcQOiGhX0ooIQGC6cUxvdjYaxv3ddtetWoz7x+j0UrepjLalezzeZ48EdJoZrSzWh8dnd85O6lv8VLf3ElJgoubTIozC9uQcQR3VBPY9i2u6acntJ8vQnW4qqJw4LjEao8jBb7/dzhjZR9/ZNL729MJh1Txzpc1BDWdd76sYf7s5P72q1n5OPc7Ad/X/yS45SsC21fHNDjE9Gxo6IWiwPknTkjqw6oe8NH51gNGj3CbA/dxl1k68TFSeVE2V585jTuf/hKfX+OPz33Nf5xzEKOTKHlxjJqOMucaPG/eAwEf7W/cTbPegT6m+0LV97/ezmOvV6PpOnabwsXzJnP4lMQ+cARqvqPznQfRO5oA48NG1olXJtRpJBEOu8oPjhzNMQcO49Xlm3j3yxoCQZ2v1tfx1fo6KoqymD6xnOkTyxg5JC+mhcCK3Ul71Uy+84+ncfUnlNV/ziRbDaqiM8pexyh7HfP4Cl11YHMPx7alCl9dAUpWPordha4FQAuie1rQWuvQWmvR6rdAoHsCSckpNqYZTjgStXBoKn5EKZFQ0FxfX8+0aUabF/PNqmldKfS5c+fywQcfcNddd7FkyRILTrNnP/3pT3njjTe47LLLuOqqq3A6nTz44IN0dHTw85//HIBPPvmEn/zkJ9x8882cffbZMT8P4Nxzz+X555/nqquu4vrrr6e4uJinnnqK9evX8/DDD6fsdQ2WbFfXH0qr285ZkWlu93SdU45VmeZO6zPN5lRAK1rOQfSAE93TCkkEzR5vAK/PnAZoVY9m66YBmsxMM2Bd27nCoaGgOblM8+5GD4FQOUaifWcj6QEfWoPR6kpNchLgnsZHZPHW1TRR0scI5FjZqqYS3FGNtvt7dG97VD/2WH2x1giaJwwvSHrBMRCeEqeWjcZWlHwZyp6GluQwdUwJ326o550vazjl8JG4kuxS4TxwHv7qD9A7W/Eufxrbgt/ElCFfvbmRT0KlLcceNIwRFcl9M+H95Dm0RmMRquvws1M+9GJcVQFXnrE/d7/wLZ2+IL//36/4j3MOSup12IdPI/vUX+J57Q/o3jbq33gY58TVOI+80AjmdJ2XPtgYnk6Y7bJz1ZlTmTgi/jaHesCH7/OX8H39GuawEsfkY3DNPBfFbs3f1Hjk5zg594QJzJkxgne+rOHdL2to7wywq9HDP/+9mX/+ezNZLhsjK/IYOSSPwlwXuVkOXA4bvkCQTl+QxlYv2+vao74BggLgOAqUdmYXbOPQ3J0UeLai6BqK5ker3YBWu6GvU+tGLarCPmIathEHYKsYb+k3QgMlocgjNzc33DnCXFi356K/ww47LKUBMxilFk8++SR33nkn119/PZqmccABB/DYY48xYcIEwPhKPxgMRgX1sTwPICcnh8cff5w777yTm2++mc7OTiZNmsSDDz7IEUcckdLXNhjcLhsKxp8By6cCWtCn2ezRDCQ1nStSuE+zhSt0c0NBs2XlGdmRQXNyi2ubIxZuWDcN0Kjxt6JHsynb7SDbZafDGwgPbUiWmc3QmnehawEUNbEPXuZQE4Cq8uR/b7T6LeEsabLjs/dUUZRFXraD1g4/67Y2J5xVi2Qfvn+4fjNQ8x2OMYfG9fzdTR627Dbed1YMNAnWbzV+hoBjgvVZZtNJhw7n2w31tHb4ee+r7Zx06PCk9qe4cnBOn4/3o8fR6rcQWPthv72lA0GNJ980SgZzsxwsOCq5jHdg20r8K98EwDZ8Go4pxye1v1hNG1vK4tP3476XVtHeGeCup7/k6rOmJTWEx1Y+lqzT/y+d/1qK1rQTX/VHBGq3YDvqUh5b0cK/Vxl9p0vyXfzsRwcyrDT+925g2yo6P/wreovxoQVXDu6jL8YxanrC522V4nw3Zx49llOPGMWnq3fzWfVuVm1sIKjpeLxB1mxpYs2Wpjj25+KAcaXMnDKEscPyURQF3dtOYEc1Wt1mtPotaE070Dpbu//77sxCzStDzS1BLRqGrWIsavlY1KzEv1FIFwn9qzF8+HBef/11fvjDH+J0OikqKuLDDz/kpJNOCm9TV1dHR4c13Qj6MmbMGO6///5eHz/ssMN6rF/u73mm8vLylAf/6UJVFNwuOx5vIDyuOllmFsqK8oz2Tmszzbqud9U0p6A8o80TQNP1pPvjqnuUZyQjchqgJYNNfB7wGZkJxYIR2pHKCrPYvKvVwkxzKAOpB9FbalES/EpwWyjgc9pVS6ZaBUP1zEBCC8L6oigK46sK+WJtLWu3NVmyT7VkBEpWPrqnheDWb+MOms3SDCDh0cqR/Os+Cp2YDcfYw5PeX2+mjCpiTGU+G7a38Nq/N3PMgZU4k8w2OyYfg/+7t9Aat+P99AXsYw5Fcfb+O/X259vC3R7OOmZsUmVqWmcrne88BBg1/+6jFw3oELPpE8u55FSNh179LhQ4f8Wlp01Jqhe2rbCS/LNuwffBn+moXoHWsBX/SzdT6pmCk6kMqSjimrMOiHuRe7CxBt/nLxHY8GnXseIYVjKQXA4bs6YNZda0oXR0+lm1qZGNO1rYvLOVbbVttHn85nrFMLfTRmVpDpWlOYysyGO/0cVUFGV1+31QXDlGvfYeNdu6FoCAH2x2UG1x96POJAlFHqeeeiq33XYbP/3pT7nvvvuYOXMmzz//PE6nkxkzZlBTU8ODDz6419X87guyQ0Gzxxvsf+NYmDXNPgvaw0UE8pbUNPs7QTNep6VBcyjTrIUWLiY70hZnNqh20AJoSWaazXpmsKY8w6xnBmtrmgFKC92hoNmaTLMtIkgONm1PuI7OXARYWZqT9Aci6KpnVvIrEip16M+E4UbQXFPbTmuHL+lyCEVRsQ3bj8D65QS2rYzqmhSLz9caWbqxlflJd+jRtSCBdcZAE/uIAy19H+9JURR+cOTocNeF977ezomHJJltVm24Dv8xntd+j+5pxvfVP3DNOKvHbZvbvLz0ofG7MnpoHrOmJV4Hqus63vf+HP7myn30oqSnUCbi8P2G4Hbauf+Vlfj8Gve9tJL5s0czd+bIhAegKM4syhZcz8dPP0r5ptdxKBonZq3kiJzN5B04j2xXbP+26bqOVrsR38o3Caz/N2YphuLOw3XEedjHHpZ2k5L3lO12cOikcg6N+CBi/rvk8wdxOW24HLakuxMpqh2cKRv7kVYSepUXXngh69evp73dCISuvvpqPvroI5544gmefPJJdF3Hbrfzs5/9zMpzFQPA7KDRkUCfyp6ER2kHA+gBX1I1X1GZ5iwLMs0RXymloqYZjOb5yQbNiqIYmb32BvSOJDPNoc4ZqqJYUkuqt0WMS82xrjwDCC/+syrTrOSXgWoDLZjUYsCaUKbPqkWAZucMW9koS/a3p0kjCsO3q7c0JT3VDoyR2oH1y9HbG9Aat2Mrjq0OtrHVG54aZkXXjOC2VeFvX+wpLM0wTR1TzKgheWza2RrONjvsyWWb7cOnYRs+jeDWb/B9/Rr2sTOwlXTvYfzsO98b01qB80+amNQHNv93b4c7PjimHId95IEJ7ytZB44v5ZfnHsz/e+5rWjr8vPjBRr7+vp5F8ybHNUnOtHV3G0888QWrN5VSop7OD3M+YbKjhhytFe3TZ2j78m/Yx8zAPnQiasVY1PwKCGVG9fYGtIatBHdvwL9+BXrLrq4d2+w4Jh+L6+DTU/rhLNVURTH+TUo2mbOPSijy+P777/mv//qv8FCTUaNG8eqrr/Liiy+ybds2KioqOOWUUyTTnIHMDhpWd88AYzFgckGzEcjbVCXpRTjQ1W4OrM40d73G1g4/Qy2IJcNBc7LlGaFMc0Gu05LBO1p76jLN5aHhOm0ePx2d/qTr2BXVjppfgda0PeGg2esLUhtaKGNFuznd34nWZAyHSVXQXFWeS26WgzaPn9WbGy0Jmm1VXRPOgtu+jTlo/nKdxaUZaz8EjA+99uHTkt5ffxRF4QezRrP0+W9oavPx/tc7OH56VdL7dR95Pu3P3wQBH53vPUL2/P+MGipRvaWR5auMBayzD6hMqttEcPcGvMufAoySJdfhZyd38hYYPTSfGy88hAdeWcWG7S1s2N7CzX/+lBOmV3HCIVUU5/ff9WXLrlb+9elWVny3K9xlyV08hLK5v8DtW4/vy38YC9cCPgJrPyQQ+t0JC02v7cbmwDFxNs6DTku7Ugwx8BIuz5g6dSoLFixg3rx5FBQUUFZWxqWXXmr1+YkBlh3KNFvXPaMrsNC9HZBdmPC+zO4ZOW67JV+LhRcBgqVfi0dmltss7qCR7ELArnZzVnXOCGWanVl91mImIrLN3O4mD6OGJJ8ZUQuHGkFzY2JB8/b6dsxywGHlyX/QCtZvCQ9EUEutXQRoUhWFSSMK+ay6ltWbG63ZZ1Y+aukotLpNBLZ+i3NabCO1zZHPVWW5VBTFN4RhT7q3ncDmLwCwjzscxTYwXw8fMLaEkRV5bN7VyqvLN3HkVKPEIBlqfjmuQ8/Eu/xptLrN+L55DdeBpwLGuOJHX1sDGH9bzjw68WSU3tmGZ9mfjLI0uwv3iVeg2K1ZEJysssIsbjj/YP71yVZe/GADgaDG659s4c3PtjJ9Yhn7jSpmTGU+Q0qy0TSdQFCnpq6d6i2NrNrYELXIzWlXOX32aE48ZHio9GA6jlHTCdZuxLfqbYLbvg23iguLDJgVG7bKSTjGz8Q+arrlf9tE5kronX7IIYfw+eefs3LlSm6//XaOPfZYzjjjDGbPno2agS1ERJdwptnilnNA0h00zJpmyztnkJqaZjDKM6xg9mpOPtMcGmxieY9ma0szwOjpatrd6GHUkORXXoc7aDTtiLsWF7oWAYI15Rla7cbQLcXyRYCRJo8s4rPqWnY2dNDY6rVk2qe9an98dZsI7qxGD3j7Db7aPH6qQ4HNdAtKM/wbPjV6C5Parhl7UhSFBUeN5o/PfUNzm49//nszZxyV3IRJAMd+J+Lf8CnarvX4Pn8J+8iDsRVV8vKHG8NtwM45fnzCZVW6puF558HwB133UQtT3l4uXjZV5ZTDRzJtbAkvfbCRL9bWEtR0Plm9O9xmry9Ou8qsAyo55+RJuNTuk+lsZaPJOmaRsQi8vYHg7u+Nv6maBnoQJasAtWQ4asHQAfsQJjJLQr8VTzzxBLt27eLvf/87r776Km+88Qb/+te/KCkp4bTTTmPBggVRrdtE5gjXNFtWnhGRaU6yV7NZ02xZj+bI8gwLa5pdDhsOu4o/oFmWaVazzUyzVeUZ1k8DtFpRngu7TSEQ1CN6hyYnvPjP70HvaEKJ8+tWs91cXraDgpzks/Vm5wy1cEhKs1mTRna9zjWbG5m5vwX9modPha9ehWCA4PZq7CP6Lo/4cl0tWiirPt3C0gy1qBLV4qEw/Zk6poT9xxSzckMDr6/YyuxplUl3UlFUFfdRF9Pxwn9CMEDnm/dQN/NnvPHJ1vAxD98vsWFhuq7j/fhJglu/AcAx5Xgc41LXaSRZw8pyueKMqexu7ODNT7fxxbpaGiM6/0RSFYWRQ3I5cFwpxxw0jKJ8N0VFOTQ29p6kURQFJbckJR/2xd4t4eijoqKCSy65hEsuuYQNGzbw97//nX/+8588+uij/OUvf2Hy5MmcccYZnH/++Vaer0gxq8sziMg060lmms2a5hyLFjDonaHzcbgtzSoooYUWja1eC6cChoLmzjZ0LRhV7xgrXdctL89IxTRAk6oqlBVmsaO+w/qgGSPbHG+NYtf4bKsWARqZ5lQHfUOKsynMddLU5mO1VUFzxVhwuMHfSWDr1/0GzWaruYqiLIYlWQ8ebNyOtms9AI4Jswe8i4GiKPz4uPH858ZPCAQ1nntnPZcvmJr0fm1FlbgO+xHe5U+hNW2n4fV70fXZuBx2Ljg58cl/vq/+gf+7t4xjDJmAa+aPkz7XgVBelM15J03gvJMm0NjqZcP2ZprafNhUBZuqUJTnYuywgnCyR4hUs6SWYsyYMVxzzTW88cYbvPDCC1x66aXs3r2bW2+91YrdiwEUWZ6h79nMMQF7LgRMhplpzrY405yKNl/hqYAWl2eAjt7ZmtA+PN4gPr/xdaUlPZp1HT002CTZ0d69MbN3uy2cCmhKZDFgTShoTjboA6PHtdZsLO6yeqjJnhRFYXIo27x6c4M1723VHl58F9j4OXpPi6hCPN4AqzYZH7AOnliWdJDrr34/dBI27OMHZ9BUZWkOx003yhs+q66leos19eKO/U8MdwIZp29iTtbXnHn0mKjR8vHwr/3QGEYDqEXDyDr5mpSNyU6lojwX0yeWc/z0Ko45aBizD6hk/zElEjCLAWVpAfKXX37J3//+d9544w3q6urSvoeh6M78A6Tr0OlLvlezYrNDqGNGsgNO2kOlDpb0aCY1I7RNeVkpHKXdkdhiwOgezRYEzZ2t4ZpSNQXlGdDVQWN3ozWDkhRnVrgkw+xaEauWdh8toW8OrMg0B+s2h2+rKeqcEcks0ahv8VJr0ZRFe2iwid7RRHDnul63+3ZDPYGgWZqRXPcOXQt09WYeecCg9Bc2nT5rdHjh719eW0OnL/lv6BRFYU3FPDYHjA+ic7K+YbZ7TUL78n37Bp3vPmLsN6eIrFN+npIkgRD7iqSD5m+++YY77riDY489lnPPPZe//OUv2O12fv7zn/PWW29ZcY5iAGVHfGq3uoNGspnmDstrmo3yjFT03DQX61hdngGJ1zU3WzzYRI8YbKKkoDwDujpoNLX58PqtGbhjTgbUmnbG9TyzNAMsWgQYGmqCovTYl9dqk/eoa7aCfcS08IfiwIZPet3O7JpRlOdi1NC8pI4Z2Px1+D3gmNj32OlUy3E7+NGx4wDY1egJj7hORl2zh0deX88jrcfSohvf1Pk+fhLvJ8/F/A2Brml0fvwk3uVPAzqKO4+sU66TGl4hkpRQ9PHdd9/x2muv8dprr1FTU4Ou65SWlnLhhRdy+umnM2XKFKvPUwyQyNKHjs4AxRaMilec2ejtjUl1z9A0PdzRw/pMs/WZl9xQeUZbGgXNZucMsCbTrEUMNknVP8aRHTRqmzyWBKtq4RCCNavizjSbiwABKkuTa5cGkYsAK1Ec/fehTVZpQRZlhW5qmzr5blMDRx1QmfQ+FbsL+4gDCWz4xCjRmHkeyh4dlPyBIN98b/yuHDyhLOkpimZphpJdaCxGHGRHTh3Cyo31fLJ6Nx99u5P9RhVz+H6J1Yx7vAHufXElHd4ACtm0z/4ZBV8/hN5ai++rf6C11uM64lzUrN7/MAfrt+Jd/hTB7asBUAqGkH3Kz1Hzk+/PLcS+LqGg+YwzzgDA7XYzd+5cTj/9dGbNmiXt5vYCUUGz1ZnmJMozIs/F8prmVGSaw+UZFtU0u3PDzfcTD5qNTLNNVcJBfTL0iMEm8XahiFVFUUSv5kargmajrllvb0T3eWLuWmHWM5cVupPuywsRQfMAlGaYpowq5r2vtrNqYwOaplsy4MY+5lACGz4xSjR2rcM+dGLU4ys3NoS/JUi2a4bW3tjVAWLCrIQWxFpNURQuPHkiG7a3UNfcyWNvVDN6aD4VxfF9sPIHgtz9wjds2mmsWTjtyFFMmDIGbdRNeN74I1rtRgLf/5vA5i9x7n8ijinHouQUoygKetCPVrcZf/WH+KvfC/f+tg2ZQNZJV2f0BDsh0klCf/kPO+ww5s+fz0knnUROjtRH7U0iF1VYFTQTCkqSKc8wO2eAhd0zBqA8w+fX8PqDSU8wVBQVxZ2H7mlGS3DASWPkNEAL1huYmWYlKz9lC4tKCtwoihEDWNdBoyvDqjXvjHkRnplptiJw173t4RG9thQNNenJtDElvPfVdto7A3y/vZnxVYVJ79Mo0XBBwEtgwyfdgmaza0ZuloPxw5OrP/ZXfxAOCB0TZye1Lytlux1c+oP9uP2JL+j0Bbnz6S/5xTkHxRw4BzWN+19eFR7QceTUIfxglvF7oWYXkH3qL+n84K8E1i+HgBffV6/i++pVsDtRc4rRWutAi/h7bXfiPGAuzgPnZeSiPyHSVUKp4b/+9a8sWLBAAua9UFRNs1W9mq3INEecixU1zbqmQeh8UlKeETkV0KoSjSR7NVs92MSsaU5V5wwAu02lJDRCNyUdNBpjK9HQdJ3tdUbQPMziRYCpGp/dk8mjikIT0giXTCTLKNE4AIDAhs+M91ZIIKjx1fo6AA6eUIotiW8jdS2Af/W7ANgqJ6MWJNazOFXGDSvgnBPGA9DY6uX2J7+gpq7/krSWDh9Ln/+WL9eZP6cyfnLKpKgPtorDTdZxl5F9xi3YQj9rAAI+owOLGTArCvbxR5Jz9h24ps+XgFkIi0mvFhElFZlms+2c7ku8pjkq02xBTbNxLkbGKiXdMyKnAnp8lBQkX7NqtJ3bmnR5hmXTAEPlGanqnGEqL8qirrmTWqs6aGQXGt9++DxojTUxPaeuyRMuMaiyoN1c0JwEqKioA7AI0OR22pk0opCVGxv4en0dZx6d/CQ7APvYGUaJhqeZ4M5q7JWTAaje0hRuFXlwkl0zApu+CJcEOfY/IbkTTpHjp1ehKvD4v9bS3O7jjie/4OzjxjFzvyE9lsKs3tTAg69+R3PoA+3kkUVc9oMpvX64sJWOJHvOtQQbatAatqA170JrrUPNK8VWMQ5b+ZioNp9CCGtJ0Cyi2G0qToeKz6+lVU1zu8faTDMpGqFtihx1a/mAkwTLM5otHmzSlWlOddCczXebGtllUXmGoijYiqoI7lpHsGFbTM+JXARo5fhstXgYit2a6xGraWNLWLmxgW217dQ3d1rygc4+fFp40Im/+sNw0Pzv74wOJdkue1T3jkT4Vy4DjG827CMOSu6EU+jYg6uw21T+8toa2jx+HvnHal7/ZAsnHjKckgI3uW4H62ua+WT1LtZt63ovHz+9ih8dOxaHvf9SLlvxMGzF6TUCW4h9gQTNoptslx2f32ddeYaZ+fB50HUNRYn/K9qOiExzthWZ5hQHzZEL7azuoKF3xJ9pNqYBGtksK0Zo61oQvcNoW5bqNlZm27n6lk4CQS1cXpAMtdgImrWYg2bj98VuU6koTn7cdbBuEzCw9cymaeNKeWqZ0VP5mw31HHtQ8sGXYnfiGHc4/tXvGhnnmefgs2WFW80dMqkchz3x6xas20xwp9HOzbnf8d06dKSb2QdUUpDr4um31rGroYOa2nb+8lrPvZZz3HYunjeZg8YnP1pcCJFa6f2XRwwKMyi1LtNsfl2ogy+xbGFbKIB3OtSk/vE1RY70TkV5Rq7bgfllrFVTAdXQVEC9s7XP6Ws96fAG8AfMaYAW9GjuaAovyEp9pjm0kFSHeouGcqjFVcY+2xtiWqBqZporS7KTqssF0Dpb0VuN+tWB7JxhKi/MYmiJ8Z78OlRvbAXH5GONG0E//nUf8fX6uvCApJn7JVd/7F9lZJmxOQe9N3Ospo0t4b8vmcFPTplEcX73D6ojK/I465ix/Pclh0nALESGkEyz6MZcDGhZ9wxXxChtb0dCC+/MTLNlPZq9EZnmFCwEVFWFnCwHbR6/9VMBdQ29sy2qd3N/mlq7BpsUWdKjuavd3EBlmsFYDBhvK6+emEEzQLChBvuQ8X1u3zU+24rSjE3h26ken92bA8aVsqN+C6s3N1rS3QWMelu1bAxa7Qb8q99lOUagXJLvYvzwwoT3q3W24l+/HADH+JkZ1T7NpqocdUAls6YNpa3DH5oq6aO0wB3Vg1wIkRkk0yy6MRcDejotCvacXUFpom3nzJpmy6YBmuUZihIV1FvJXAxoWU1zxLjgeBcDWj3YRI8YbKKkeCFgWWF0r2Yr2CKCZq1ha5/b+gNBdjUYx60qt3ARoGqLCt4H0gFjjQ86/oBm2XRAAOfkYwDQmnbQsdUYrnHYlCFJtTj0f/uv8Lj2dF0A2B9VUcjPcVJVnsuUUcUSMAuRoSRoFt2Yw0OsL8+ILouIh9k9w4p6ZoiYBujMSajGOhbhAScWlWckMxWwKXKEdp6FmWbFFurqkToupy1cUrLLqg4arpzwQJb+6pq313WghUpRhpVaMT57EwBq8fBBawk2dlhB+BulL9fVWrZf+9jDwn3ZZzqrjf9PojRD62zFt/JNAGwjDsBWPDz5kxRCiARJ0Cy66SrPCFqyv8jyh0QzzWafZssyzWZ5Rgq/6s0NddBos7o8g1BNcRzMoNluU6zpc90eGmySWzQgi7LMzJyZ8bWCmeXtL2iuqesq5bGy3ZytdFTS+0qU3aZy4PhSAD5bU4s/YNF73eHCMf4IAA5wbmFimZpUSYvvq3+C36hjdx2ywJJzFEKIREnQLLqxvjzDukyzdTXNoWmAKahnNllenuHON8pJAL0jvrZz4c4ZOS4UC6YBmu3mUt2j2WQuXNvZkHiv7z2pRUbQHGzYhh7KJPfEXASY7bJTlGSWXmtvRG83yiFs5WOS2leyZu4/BDC+UbJq0AlAc+VMAOyKxvyi6oT3o3U04V/1lrGvUdMH9UOGEEKABM2iB1aXZ+Bwh4M9Eq1pNjPNWdbWNKdyUZEZNFuWaVbVcCmElmCmuTDPmp7A2gD1aDYNDS3+q2vqtCwrGq5r9nWEA9mebNtt/K5UleUk/YEjuPv78G213JrBIomaPKIoXPby8cqdlu33re81vvSOBGBowydoLYmVf/i++gcEfYCC85D5lp2fEEIkSoJm0Y1ZnhEI6pYEKIqigDkVMMEBJ5bXNIfKM1LRbs6Um2UEJO0eP5rWeyYzHkp2IZBIptnaaYDmZLZUd84wDSkJDcjBuhKNyEV4WmPvJRpbQ0Hz8PK8pI8Z3BUKmh3uqHHeg0FVFQ6fYmSbv/m+3pIPd52+AB99u4N/eA5CQ0HRgng/+1vc+9Gad+Ff/Q4A9jGHSi2zECItSNAsusmOqHntsGrASRJTAf0BDZ/f6DFsXfeMUHnGAGSadSzMNoc6aMRb02yO6bWkc0bAi97ZapzPAJVnDCnpKvHZ0WDNYkC1qBJCi0B7q2tuaffR3G787IZXWNFubgNglGakw4AOs0QjqOl8umZ30vtbvmoXHm+QWi0fzwijtjmw/t8E67fEvA9d0/C8+5DRMUOxSZZZCJE2Bv+vtkg7Zk0zWNhBw8w0++KvSY2cBmhZTbNZnpHKmuasrnO1qlezGs40N8X8HGMaoHUjtPW2rlIGdYDKM0rz3eFJgDvrralrVmwO1IJQ0NhL0GxmmQGGlycXNOtasGsRYNng1jObhpfnhhc3Lk+yREPXdd7+3Pg5jijPpWz2D8HuBHS8K57ts248ku+b19B2rQfAOf10bIWVSZ2XEEJYRYJm0U22K70yze0R52BJ54eAL1QrmepMc1eA2mZV27lQ0BxPTXN7Z4BA0AhYrMg0a5E9mgeoPENVFYaExldblWkGUIuNEdK9ZZrNoFlRYFhpch+wtMYaCBi/B7ZBrmeOZGab19c0s7sp8dKXNVuaqKkzPtAcN70KW04hzqknAxDcthL/N6/1u49gw1Z8n70IgFo2BueB8xI+HyGEsJoEzaKbyPIMj2WZ5tAo5AQWArZHZpqzks80p3qEtskszwArB5wUGjf8neh+b5/bmiKnAVpSntEeMQ1wgMozoKuueUe9lUFzqO1c03Z0rXv9vhk0DynOxpnk1Lzg7g1dxx3kzhmRDp8yJDzy3cwUJ8J8bo7bzmFTjN7MzgPnoRYZH0y8K57Dv+nzXp+vtTfSuew+0AJgc5B17P9BUZOfVCiEEFaRoFl0E1me0W5xppkkM83ZVmSaO7u+ck9lpjk3heUZEHuJRtRgEwvKM8KDTexOSGF5y57MDho76zti/qq/P+HFgMEAWvOubo9vDXfOsKCeOdQ5Q8ktQc1O7UCYeBTluTh4YhkA735VQ0sC34ps293GF6EhKbOnVYbHcisON1kn/wzFnQfodL79QNdExAjBhq10vPRfaE3bAXAd9qNBXygphBB7kqBZdBNZAmFZ27lw94zBr2kODzYhtTXNToctHDxYNhUwItiKtUSj0eJpgOYIbTW3xJKez7EyFwN6/UEaW2PLsvcnsiuDtsditUBQY0eofjrZemboajeXTqUZptOOGAWAz6/xr0/6Hivek2ffXY+ug9OucuKh0Z0u1Pwysk66GlQ7BHx0vPRfeN59iGD9VgI71+H7+p90vHxr+BsM5/QFOPbLzHHZQoi9mwTNohuH3RZedNVh1YATs6Y5kfIMT0Sm2ZU5mWboKtFoabe2phlibztnds5w2FVLfn5aKLgZqM4ZpqERHTR2WlTXrOSVhbPle2ZAt9e1Ewy1Ckx6EaDPg9a4A0jPoHlERR4HhSYEvvXFtri6vaza2MDKDcbvxEkzhvc4AMY2ZDzuYy4BxQa6RmDtR3S88Gs8r/wP3hXPgt8Dig33MZfgmn76gH4YE0KIWEnQLHpk9YATxRUKeIJ+YyFeHMI9ml12VNWCaXYDVNMMUJBjlENYFzTnA+ZUwKaYnmOWZxTkOK2dBjhAnTNMQ4oj2s5ZVNesKAq2stEAaHsEzVZ2zjACciMAH+xJgL057chRAHh9Qd78NLZss6bpPPuO0ekiL9vBKYeN7HVbx7jDyTn7dhyTjzGyzmEKaskIsuZeh2PCrATPXgghUs+aprdir5PjttPS7rOue0bkKG1fB4o99tpas6bZinpmiMg02+yhllipk2910KzaUbLy0D0tcQTNoR7NVpRm6Hq4e8ZAdc4wuZ3GGOvGVi87LVwMaCsbTXDbSoJ1m9C1YHjxmRk057iTH58dngSo2FBLew8sB9OoIflMG1vCN9/Xs+zzrRx/SBX52X2/P5av2hn+Oc2fNTpqPURP1Pwy3LN/gvPg0wnWrELJKcZWNjq8UFgIIdKZZJpFj8yv8a1rORcRNMe5GNAsEbGsR3PENMBUfw1sBs3NFnXPgK665lhrmi2dBujrgICxv4HsnGEys807Gqzp1QyghjLNBHxoTTvC93dNAkz+9yQY6juslgyP6wPjQDNrmz3eIPe/tJJAUOt12+117Ty9bB1gXJfZB8TeT1nNKcIxYRb2YVMkYBZCZAwJmkWPzHHVVtc0A0bgFQcz05yTZW2mOdX1zEA4U9dqUaYZ4h+lbeVgk3DnDEAZ4PIM6KprtqqmGQiXZ0BXiYau65aNz9Y1jeDOtcaxhkxIal+pNnZYASeFFvKt2dLEs2+v73G75jYvf3j2azq8AVRF4fyTJoTXQQghxN5K/sqJHlle0xxZnhFnB41wTbPl0wAHIGgOZZo7vAH8gd6zdvFQsgqB2GqaNV0PLwQssqJHc8RgE3WAyzMAhoZ6NTe0eOn0WfO7qeYUhT+ImIsBm9t94cVwydYzaw1bwWcMDbENnZjUvgbCD48dy+SRRQAs+3wb735ZE9Xiz+MN8Mfnv6G+pROAC06ewJRRA/8BSgghBprUNIsemUGzVX2aI/v5xttBwywRybWopplQ0J7KdnMmcyEgGG3nivPdSe9TjaM8o83jD3eAsGQaYPvgZpqHRHTQ2NXgYeSQ5LLAJlvZaAKbvwwHzZYuAgxlmQFsQ9M70wxgU1UWn74f//XXz6hr7uSxN6p5+4ttzD6gkpraNlas3o3XZwyCOfWIkRx94LBBPmMhhBgYkmkWPbK8pjmZTLPH4kyzdwDLMyKC5marFgPmFBo3vO3owb7LZyKnARZYUJ5hds7AlYNit6BGOk5DozpoWF/XrNVvQQ/6w0GzqihUlmb39dR+BbevMfZVNAzVbU2Qn2p52U6uPGMq+aGWidtqjfrl97/eEQ6YZ00byoLZ6dkJRAghUiGjM82BQIBHHnmEF154ge3bt1NSUsK8efO4+uqrcbv7zui1trbywAMP8Oabb7Jz507Ky8s56qijuPLKKykqMr6aXLFiBRdeeGGv+1i1ahV2e0b/CHuVE65pDqDretILoRSzU0XAF9dCQF3XM7qmOXKUdqp6NSt5pb1ua3bOAIsyzRGDTQZDUZ4Ll9OG1xekps66oDlc16wF0eq3smmHse/K0hwc9sRHOeu63lXPnAGlGZFGVORx++KZ/HvVLt7+YhvbattxOWwcOqmc2QcMZdywAumnLITYp2R0xHfbbbfxzDPPcMUVVzBjxgzWrl3LkiVL2LRpE/fee2+vz/P5fFx66aWsW7eOq666iilTprB69Wr++Mc/8umnn/Liiy9is3X9Q3nLLbew3377ddvP3howQ1d5hqbreP1B3M7kX6vizEYP+OIqz/D6g+HyAkumAep6ONM9EDXNkeUZVgXN3UZp9xk0R47QtqCmeZAGm5gURWF4WS7ra5qjSiiSFbkYMFi7kY07jI4Oo4cmlxnWmrajd7Yax8iwoBmMNn/HHDSMow+spL6lk9wshyV/C4QQIhNl7F+/rVu38tRTT3HxxRdz+eWXA3DIIYcARpD72Wefhf97T++99x5ffPEFd9xxB/Pnzwfg0EMPxev1smTJElasWMERRxwR3n706NFMnTo1tS8ozUROjuvoDFgTNLtyjCAvjkxzZHlIjhU1zb4O0I0FeQORac5y2bHbFAJBnZYUjdLuKw9qBs1Oh0qWK/GMafh4gzTYJNLwcuuDZsWdi5JXht5aS+eO76lvGQfAqKH5Se03uKM6fDsTg2aToiiUFkhrOCHEvi1ja5rffvttNE3jtNNOi7p/3rx5KIrCsmXLen3umDFj+J//+R9OOOGEqPsnTjT+UduxY0dPT9unRA4SsbquOZ6a5shxvlbUNEcdewAWAiqK0tWr2aryjKyuoLm/Dhpm54zCXFfSX6XrutaVaR6k8gyA4RXGh53GVi+tFn0Qga5ss3/XhvB9yWaazaBZKaiI+oZACCFE5snYoLm6uhpFURgzJnohSkFBAWVlZaxZs6bX544dO5azzjqL3NzoTOOGDcY/llVVVdafcIaJLIVot6hXM6EBJ/GUZ1idaQ5PA2RgMs3Q1avZsppmuzMc8PfXqzncoznHgkWAnhbQjEVgg51pNllaolFuBM2O9l248GO3KVSVJf47out6OGi2Z3CWWQghhCFjyzNqa2vJy8vD6eweDBQXF1NXVxfX/nbt2sX999/PhAkTOPTQQ6Mee/3117njjjvYuHEjDoeDww8/nOuvv54RI0b0uU9VVVDV1C2UsYWGCdhSMFQgL6craPYGNOz25I9hc+cQBPB1xLw/jz8Yvp2f60r6PPRAV8DuyM7DZsHr6k9Brgtopc3j7/H8E7mOak4hmrcdPM19/kzM7HZRvjvpn13A0xi+bc8vteR3IhGjhuajKKDrUFPXzrRxvdd0x2XoBLyAgs4Yx268ZZNx9zMW2tTTNQw27wp/E+AYNnnQfl4iNqn8eyoGjlzHzJfO1zDtgma/38+WLVv63CYvLw+fz4fD0fPX9Q6Hg46O2LOZ9fX1LF68GK/Xy1133YWqRl+o1atXs3DhQiorK1m5ciX33HMPP/7xj3nppZcoLy/vdb/FxTkDsro8P9/6WkO7q+tnq9hUioqSL2UI5hfiA5SAJ/b9RVyLYUPyky7RaK3xY+Ymi4ZUYMtJfYlGeahNWltnoM/XHc917CwowdNQg83f2uc+zaB5SGlu0tewbWc7raHbRVVVOApS/7PrTWVpLjW1bexsjON3qR96/v60Od3ovk4m2nfgG3Vk3PuOvIYtm7vKPEonH4R9EH9eInap+HsqBp5cx8yXjtcw7YLmXbt2MXfu3D63WbBgAS6XC7+/57IBn8/Xb8s505YtW7jkkktobGzk4YcfZtKkSeHHDjroID788EOKi4vD3TSmT5/OqFGjuPTSS3n88ce57rrret13Q0N7yjPN+flZtLR4CAatmTZn0rSuCWC769tpbEy+vZcPI+ANetpi3l9tqBevTVXo7PDi9SRX4tBZ3zXRrrlTQfFZ17asN+5QhrGxpbPH153IdQw6jFpbX1N9rz9LTdNpbDHKM7IcatLXsHPX9tAthVa/C8WC34lEVZXlUFPbxvqtTZb8bpq0sgkoNd8w3rGDxuLsmPfd0zVsW/0ZAGp+Oa1aNgziz0v0L5V/T8XAkeuY+QbjGsaaIEm7oLmqqorq6up+t7vppptobW3F5/N1K9FoaGgIL+rry5o1a7j44otxu9089dRTjB8/Pupxp9NJWVlZt+fNnj0bt9vNd9991+f+NU2PCj5TJRjUCFg0ojlSlsuGxxukrcNvyf51u7kQ0IPfH0BR+v/qxVzole22EwzqQHI/z2BHKFfqyCKoKaCl/g2Zm2V8WGjr8OP1BbCpPb/uuK5jVtdUwN6e09zuQwuNP87PdiR9DQMtxgcOJbuAoK5CCn7nYlVVlsMKYHtdO53eAHaLvsaryxpFGd9QZW8kv1CP+2dmXkM96Me/9VsAbCMOSMn7U6RGqv6eioEl1zHzpeM1TL+CkRhNnjwZXddZu3Zt1P11dXXU1tYyZcqUPp9fU1PDJZdcQklJCU8//XS3gNnk83XPbAaDQQKBAC7XwE9EG0jZoRINqxYCKi5zspoOPk9MzwkPNsnAaYAms3uGDrR2WPSzDHVi0D2t6Fqwx22ipwFa0KM5NNhkMDtnmIaXG5n2oKaz3cIhJ+uCQ8O3Sz2bEt5PcEc1+DsBsI84INnTEkIIkQYyNmg+4YQTcDgcvPzyy1H3m/89Z86cXp8bDAa5+uqrcTqdPProo1RUVPS43Y033shhhx1GY2Nj1P1vvvkmgUCg24LBvY3Zds5jUcs5XBGjtGPsoGGO0LakRzOgd4YGmwxk0JzSqYC60dWiB9GDTZLvnpEOPZpNqeqgsbLeTbNm1NHp21cnvJ/A5i+NGw43tqGT+t5YCCFERki78oxYVVRUsGjRIh566CEKCgqYOXMmq1atYunSpcyfPz9qgt9FF13Exo0bef/99wF48cUXWblyJddffz07duzo1pe5qKiIqqoqzjnnHP7xj3+wcOFCLr30UsrKyvjqq6+49957GTt2LD/60Y8G9DUPNDNQbbe4TzNgjNKOoQVuRyjLnZNlcaZ5AHo0m/JTMBVQySkK39bbGyDiv0172zTASIW5TvKyHbR2+Nmyq40jLZg9pOs6m3a2stY2lENdGwjUrEpohLyu6wQ2fwWAvWp/Y4S8EEKIjJfRf82vueYaCgsLefrpp7n//vspLy9n0aJFLF68OGo7TdMIBru+wv7sM2OBzpIlS3rc74IFC7j99tvZf//9eeyxx7j//vu59dZbaWpqoqysjDPPPJMrr7ySnAHovDCYskLttjq8FgXNEYFqrJnmtlDAnm1ZpnnwyjPAugEnakSQrLU1YCsf222bptBgE5fTFr6WidKD/nD7NDUNyjMURWF4eS7fbWpk6+7W/p8Qg9rmTto7A1Q7jaBZb6tHb9mNUtDzN1G90Rq3hUtZ7CMPsuTchBBCDL6MDppVVWXhwoUsXLiwz+0ef/zxqP++/fbbuf3222M6xrRp07j33nsTPsdMZtYRd1hV0xyVaY6tDjWcaba6pnkAM805WQ5URUHTLRylnVMIKICOHiqb2FOzOdjEiixza1fXETWv++LYwTCiPC8UNLcllBHe04YaY1DMWv+Q8H2BmlU44wyazSwzioJtxLSkzkkIIUT6yNiaZpF6ZnY3FZlmvLFlmjvCCwEtrml2DVymWVWU8LCY1naLPoCodpTsUAeN9p6DZjPTXGRJPXPXsCAl36JhIkky65rbOwM0Rix6TFT11iYA9KxClAIjcA7W9N0hpydm0GwrH4fqTm4MtxBCiPQhQbPoVbbFNc04XBDKBuox9EfWdD0cNCc71ARA1wLgN7p2DGR5BkBBaJS2VeUZAEpoQZ7eS9BsBpJWdM7QWmrDt9XcNAmaK7qu4aadyZdoVG9pAmDiiCLsw4w1EYGaVeiB2K+Z1tGCttsYamIbeWDS5ySEECJ9SNAsepUdqoP1+oIELehnrCgqOM1ezf1nmj3eQLgrsxWZZjPLDAMfNJt1zVaVZwCooQV5Wi/lGY2tRsuzojwr2s0ZmWbFlYviTI8pTZUlOeFa7bWhLHGimtq87GwwficnjSjEPnq68YDPQ2DT5zHvx7f+35i9xO0SNAshxF5FgmbRq8g64g6LO2jEEjSb7eb2PJdEmfXMMLDlGRARNFuaaTYW5PWUafYHNFpCPaGLLQiazUyzkpceWWYAVVUYX2WUqCQbNJtZZoAJI4qwVU5CCdVu+9e8H9M+dF3D++2bxrmVjcZWNCypcxJCCJFeJGgWvcqKyO5aXdccS/eMNk/XMXMtaDlnds6IPI+Bkoqg2eygoXc0dRtwEtlurigvtpHyfTFrmtU0CpoBJgwvBGDzrlY8SfyOVm8xerHnZTuoLMlGUVQcE2cDENy+Gq1ld7/78Gz4Gq15FwDO/U5I+FyEEEKkJwmaRa+yI9qUWZZpdpmZ5v5rmiMnEeZkWVCeEZlpHujyjFBNc2uHPzzaOllmTTO6Hm4HZ4pcGFecb0X3jFB5RpoGzboO34e6XyTCXAQ4cURRuAuHY+LscA1+LNnmls9eA0DJysc+dkbC5yKEECI9SdAsehVZR2x5eUYMmeao8gyrM80D3NUgP9Q9Q9N12jzWdNBQI4aM7FnX3BCqZ4bka5r1gDc8dTBd2s2ZRg3Jw2k3/oxVJ1ii0dzmZUd9Vz2zSc0pwjbcaBnnX/thr+PKAYLNu+hY/wUAjklHo9isaZEohBAifUjQLHoV2bHCuvKMUK/mWGqaIwJ1axYChoJm1Q6O5EsW4pGSqYARQ0bMYRqmxhYj02xTlXCWO1Faa1e7uXQrz7DbVMYOS66uOTLYnjgierKiY9JRgFECE9z6ba/78K5cBuigqDgmH5vQeQghhEhvEjSLXkVO4Wu3aMAJznhqmo1jZrls2NTkf1X1TqMtmeLOTXoQRrwiA1fLguasAlBsQPfFgA2tXYNNVDW516pHBM1KmmWaoatEY+OOFnz+3rPBvTEXAZr1zJHsIw5AycoHwPf1P9F76CKjeVrwrf4AAMeYQ1BzB3/MuBBCCOtJ0Cx65bSr2EIBl2cwapo9Fk8DHIQR2qbIXslW9WpWVDU0GbB7eYZZ01xkQT2z1hrRozlv8Edo78kMmgNBnY07WuJ+/prQIsCJwwu7fZhSVDuOKccDENy5Ft/nL0Y9rgcDdL55T/hDoHvaSXEfXwghRGaQoFn0SlGUcFmEVQNOwl0rgv5+h0aY2W0r6pkhMtM88FPa8rId4Q8gkZ0tkmXWNe+ZaTZ7NFvSbs5cBJiVj2JPfn9WG1OZH/7ZxlvX3BRRz7xnaYbJedA8bBXjAfB9+XcCW74KP+b9+AmCO9cCUHD4D7APnRDn2QshhMgUEjSLPmWFsrzW1TR3ZXn7yzabLedyLRuhPXiZZlVRKAiNs7Zi5LNJCbWd67YQMFTTbMlgkzTtnGFyOWyMHmqUUKyLM2j+vLori77f6J7LKhTVjvuEy8NlGp63H6Tzw8fwvHUf/tXvAmAfMY3iY8+P/+SFEEJkDAmaRZ/MTHOHRTXNkQFrZDeLnlifaTaD5oHPNINRXwzQ1JbaUdqBoBaum7akR3Or2aM5/eqZTWaJxvqaFgLB2KdXrlht9FUeUZHLkOLsXrdTc4pwH/9TowWdrwP/d28T+H4FAEpBBTkn/BRFtSX+AoQQQqQ9CZpFn8xezdb1ae4aKhLZN7kn4Zpmy8szBj7TDFBkBs0WZppVcyqgpwU9aPy8mtq84fHj1pRnGNnYdOucEclsFef1B/luU2NMz2lo6WT9NqO384zJFf1ub6+cjGv2T1CLqlAKhqAUVKBWjCP75J+hugd2WI4QQoiBZ8333mKvlW11TXMcmeY2CxcC6loQQou1Bj/TbGV5RldJgd7eiJJfHlX+kexCQN3ngVAZTTp2zjBNGllEbpaDNo+fj1fuYNrY/hcsfrK6a8rfjEnlMR3HOelonJOOTvg8hRBCZC7JNIs+ZQ9STbOm6+HsthU1zZHHGqxMc2GeUdPc1OZFt2gqYGR7M7OuOWoaYJLlGencozmS3aZy2BQjW/zlurqYvhn5dI1RmjGmMp/SwqyUnp8QQojMJ0Gz6FNXeYZFfZrtTrAZ++wr0+zxBsIlBtZMA2wN3x7sTHMgaN1UwOhMsxE0m4sAVUWhICe5wSZ6hgTNAEfsPwQAf0Djs+rdfW67u7GDjTuM34lYSjOEEEIICZpFn7oWAgYsyY4qihLONvdV09yWyhHarkGqaY6oL7aqg4aSlWdMOKQr02yO0C7IdSY92KSrR7MSNYEwHY0aksfQ0HCSj1fu7HPbT9cYQbUCHBpjaYYQQoh9mwTNok9ZoaA5qOn4/LF3JehLOGju7L08o93T9fV6rhU1zVGZ5kEqz4gYcGJVBw1FUcNt58xMsxmQF1sy2CTUbi6nEMVmzYLMVFEUJZxtXru1idomT4/babrOv78zSjPGDy+0pC2fEEKIvZ8EzaJPkYvwLKtrNjsN9JFpjhzbnZNlQU1zZKZ5kMozIoMzSwechOqatbZ6IGIaoAXt5vRw54z0XQQYaeZ+QzBz68tX9Zxt/ujbHdTUGh/YDp8ipRlCCCFiI0Gz6JNZ0wzRgWwyujLNfQTNlpdnhDLNNodRVz0I3E4bLofRy9fKtnPKHlMBw5lmC9vNpXtphqk4382kkUbm/f2vt3dbENjm8fPcO98DMLQkm1nThg74OQohhMhMEjSLPkVmeS3r1eyOs6bZiu4ZEYNNFCW5Ot9EKYpCYZ71bee6Ms0NBDUtvO9kyw50XUNrNmp/1cIhyZ3kADr2oGGAsSDyob+vQouoxf/be9+Hf7fOP2kidpv8CRRCCBEb+RdD9CmyPMOyjg/hoLmPmuZQgJ7lsmNTk/81HezBJqaiVIzSNrPA3naaG5sxY8Ti/OTKM/T2RggatddqQeYEzdMnljE7lEH++vt6Xv5gI5qm88339bz31XbAKMuYHMpICyGEELGQ4SaiT7kRpRHtVgXNoamAemc7uq73mPkNTwO0IMtsHGtwR2ibujLN1o3SVvO76nJbdm0P304206w17+o6RgYFzYqicP5JE6mpa2fD9hb+/vEmln2+FY83CECWy8aPjhs3yGcphBAi00imWfTJ7bShhoJay6YCmi3f9CD4e+5w0NZp9QjtUNDsGtxxx2YHjUYryzMKulqmddbvCN9OtqZZa+5aSKfmZ1ZbNodd5YoFU8N9qs2A2aYaAXVkJxMhhBAiFpJpFn1SFIWcLDutHX7LFgKyxyhtxZndbROz5ZwV0wCN45jlGYObaS4KBWut7T4CQc2SmlolpwRUG2hBAk07gUoUBfKTHGyiNRlBs5JdiOLMvIl5RXkurv3RAfz9402UFrgZX1XIuKoC8rMHZyGoEEKIzCZBs+hXjttBa4ff8ppm6L2uuT1VmeZBrmk2yzN0oKXdl3TdMYCiqih5ZejNO1HaaoFKCnKcSQfkZqZZLcjctmwjKvK4YsHUwT4NIYQQewEpzxD9Muuaratpjs4098QM0C1pNxcMhMtABjvTXJjbleW0tEQjVD7h7DR6NVsRjJs1zZlUzyyEEEKkigTNol/mYjzrapq76op7azvXtRDQgqDZGznYZLC7Z0QMOLGwg4YZNOf4mwAoLUiyc0Yw0DXYRIJmIYQQQoJm0b8cqzPN7oiguYdMs6br4Z7QuVYONmHwM80FKRilDV0lFHm04SBAaUFyNch6ay3oWmjfEjQLIYQQEjSLfpnZXssmAqp2cBhBXU9Bc0dnAHMchZWDTWDwM80Ouxr+IGBlr+bI7hYltjZKC5PLNEd2zlAKM7emWQghhLCKBM2iX7mhqYBtHmvKM6DvASeRwbmlI7QZ/EwzdLWds3QqYETQXKq2Jl2eEQ6aFQU1L7PazQkhhBCpIEGz6JcZuHr9QfwBzZJ9hgec9FDT3B4RnFtTnpE+mWboGjpi6VTAvFJ0jH7apbZWypIsz9CadoX2W4ZikyY7QgghhATNol+Ri/E6rCrRMDPNPZRnRGWarSzPsDtR7IPfo9fsoGFlplmxOfA6CwAoU1uS7p7R1W5O6pmFEEIIkKBZxCAnqytwbbN4KmBP5RmR/aCtLM9Ih9IM6Mo0Wxk0A7TaCgEY4mzHYZcezUIIIYSVJGgW/YoskbC6g0aPmWZPajLN6VCaAV01zR5vkE6fdXXiDVo+AGW21n627Jvu70TvaAIk0yyEEEKYJGgW/Yosz7B6wEmPNc2hbHaWy45NTf5XNN0yzeZUQLC2rnmHz/ggkqe3omuJB+PmUBOQoFkIIYQwSdAs+hUZNLdZXNOMz4OuBaMeC08DtCDLDOmXaS6NqDeub+60ZJ+6rrO5w1j8p6Kjt9YnvK/IdnNSniGEEEIYJGgW/cpy2VAVozNDu0Vt56KnAkbXNZsLAa2oZ4b0yzRH9lCutShobu8MhDPNAFrLrj627ls4aLbZUXKLkz01IYQQYq8gQbPol6Io4cWAlg04icj67lnXbAbmVrSbi9x/umSa3U57+LXVNXks2Wdds4f6YNfr05p3J7wvrWkHAGr+EBRF/kQIIYQQABnbgDUQCPDII4/wwgsvsH37dkpKSpg3bx5XX301bnfv7bZWrFjBhRde2Ovjq1atwm63J3WMvVGO20Frh9/ymmbonmm2sjxDD/gg4O12zMFWVuimzeO3LNNc19SJDwdNWhaFqgetJYmguW4LAGpJlSXnJoQQQuwNMjZovu2223jmmWe44oormDFjBmvXrmXJkiVs2rSJe++9t9/n33LLLey3337d7jcDZiuOsTcxM82WtZyLzPrumWm2sDwjerBJepRnAJQWZLFxR6uFmWYj+K4P5oWC5sTKM/SAF63ZyDTbSkZacm5CCCHE3iAjg+atW7fy1FNPcfHFF3P55ZcDcMghhwBGMPzZZ5+F/7s3o0ePZurUqSk9xt7EXAxoXaY5sqZ5z/IMM9NsRdDc0nXMrDQKmkN1zXVWZZqbjeC7xVYE7A6XWMRLa9gGug6AWipBsxBCCGHKyILFt99+G03TOO2006LunzdvHoqisGzZsow4RiYxa3CtqmnGmQ2hetnIbHBQ08It5/KyLQiaOyKD5oKk92cVc8x1m8ePx5t89t4MvtvdRrcLvWU3uq8j7v0E6zaHb9tKRiR9XkIIIcTeIiOD5urqahRFYcyYMVH3FxQUUFZWxpo1azLiGJnE8kyzooSzzZE1zW0R3TnyLCnP6Aqa1az8pPdnlagOGhaUaJhBsy9/ePi+YP3WuPdj1jMruSVps3BSCCGESAcZWZ5RW1tLXl4eTqez22PFxcXU1dX1u4/XX3+dO+64g40bN+JwODj88MO5/vrrGTFihGXHUFUFVVVieEWJsdnUqP9PpbwcM9McwJ7kiGaT4s412sH52sP79ERMyCvMcyV9rIA3NB1PtWHPyU2bbhBDSrrKU+pbjIWKiV5HXdfD5RnOshFQpwA6NGzBPnxyXPvSGoyg2V46wrLrvC8YyPeiSA25hnsHuY6ZL52vYVoFzX6/ny1btvS5TV5eHj6fD4ej5yykw+Ggo6P/r6VXr17NwoULqaysZOXKldxzzz38+Mc/5qWXXqK8vNySYxQX56AoqQuaTfn5WSk/RnmxEeR1+oLk5mXhsCCg6sgtwNu0A4fmoajI2P+2+q6sa2VFfvj+RNVrHjyALTuf4uL0qWnOzXOjKEb5cGuoHCXR69jY2onPrwFQNaICx64h+Bt2YGutievnp2tBmhq2AZAzfHzSP/t90UC8F0VqyTXcO8h1zHzpeA3TKmjetWsXc+fO7XObBQsW4HK58Pt7LhPw+Xx9toM76KCD+PDDDykuLsZmswEwffp0Ro0axaWXXsrjjz/Oddddl9QxTA0N7SnPNOfnZ9HS4iEY1FJ2HAAltDgMoGZHEwW5rj62jo1mN94Q3pZmGhuNEo3tu7vKKQgGw/cnytMYmoznzkt6X1YrynXR0Opl6w7jNSd6Hb+vaQ7fznYoUDQcGnbg2fZ9XK852LDNaNEH+HOHpt3PK50N5HtRpIZcw72DXMfMNxjXMNYkUVoFzVVVVVRXV/e73U033URrays+n69b+URDQwMTJ07s9blOp5OysrJu98+ePRu32813330HQHl5ecLHMGmajqbp/W6XrGBQIxBI7S9WlssWvt3U5rOms4XT+CXVOlvD59/c6u06ptOW9OsKdoQCSnd+yn9G8SotcNPQ6mV3o/GtRaLXcWd917ceRbkulJKR8P0nBBtr8Hd2oti7lxj1xL9rU9d/FI1Iu59XJhiI96JILbmGewe5jpkvHa9h+hWMxGDy5Mnous7atWuj7q+rq6O2tpYpU6b0+Xyfz9ftvmAwSCAQwOVyWXKMvU1kkGzZYsBQ32Td0xq+r7XD2LfLacNht/X4vHjoHiOLq6TRIkBTaaGRaU92IaD5fLtNoTDPhc1sFadraI01Me8n3DnDlYOSI+OzhRBCiEgZGTSfcMIJOBwOXn755aj7zf+eM2dOr8+98cYbOeyww2hsbIy6/8033yQQCHDooYcmfYy9UeSgEavazpndLPTOVnTd+DTZGgrIreicAWkeNBcYJT61TZ3oeuLfSOyoN8ooKoqyURUFNaJVXGQLuf5o9cZ6AlvpyAGpxRdCCCEySVqVZ8SqoqKCRYsW8dBDD1FQUMDMmTNZtWoVS5cuZf78+VGT/i666CI2btzI+++/D8A555zDP/7xDxYuXMill15KWVkZX331Fffeey9jx47lRz/6UdzH2BfkRoy0bvdYNBXQDGR1Dbwd4M6ltcP4FsCSHs26Fs5iK+70C5rLQplmrz9IS3v3bz9itb3OKM8YWmqUu6hZ+Sg5RejtjWgxBs26rocDbFX6MwshhBDdZGTQDHDNNddQWFjI008/zf333095eTmLFi1i8eLFUdtpmkYwGAz/9/77789jjz3G/fffz6233kpTUxNlZWWceeaZXHnlleTk5MR9jH1BlsuOqihoum5ZpjlyQp/macHmzqXNzDRnx1aH2ydvB+jGtVez0y9oNjPNALsaOijLi/81a7rOjgYj01xZkh2+Xy0ZSbC9kWB9jEFzWz2EhqHIUBMhhBCiu4wNmlVVZeHChSxcuLDP7R5//PFu902bNo17773XsmPsCxRFIdttp83jDwe2Se8zYkKf7mmBospwTXOuBeUZmidiGmAaZ5oBdtUnFjQ3tHS1mxsa0fvZVjqS4Jav0Oq3oWtBFLXv+vDI4FrGZwshhBDdZWRNsxgcOVldA06sEFlnbE7u68o0W1CeERk0p2GmuTDXhS3UknBnQ2Lt3XZEdM4YGplpLg1li4M+tKad/e4nuHOdccPuRC0YmtC5CCGEEHszCZpFzMy6Zqu7ZwDoHS3ouh6uabYi06yneaZZVRVKQiUauxr6H5bTkx11RrCtKDCkuCtotpV0ZYu1GEo0glu+MZ5XORlFlT8LQgghxJ7kX0cRs65Ms0VBs80OTiPQ0ztb6PQFCQSNLhJW1DRHBc1p2D0DoMwMmusTC5q3hzpnlBVk4XR0lWAouSXgMso1+uugobXUojVtB8A+4oCEzkMIIYTY20nQLGJm9mq2qqYZuoJZ3dMSbjcHVpVnhAabOLONAD0Nmb2aE800bw8F25GlGWDUoNvKxwIQ3PJ1ny3tAlu/Dt+WoFkIIYTomQTNImY5WWZ5hjU1zRDRq9nTGi7NAMjLsiLT3Bp1jHRkLgbc3dhBIM5xobquh8szzHZzkeyjpwOgNe9Ea9ze634CodIMtagKNbckrnMQQggh9hUSNIuY5bqtLc+AyKmALbR1WJxp7kzfwSamylCwG9T0qEV9sWjt8IcXZVaW9BA0jzoYFOMtHtj4aY/70ANegttXG9uPmBbX8YUQQoh9iQTNImZmTbNRe2zNPHgzoNU6W8Lt5gByLQiatTSeBmgaXpYbvr11V2sfW3ZnTgIEGFqa3e1x1Z2HrXISAIENn/W4j+D21RA0fu42Kc0QQggheiVBs4hZZPY3MsBNRmRNs1krrSoK2a7ka5DTeYS2qTjfRXaoK8mW3W1xPXd7XUTQXNw90wxgH22MhdcatxFs6l6iYZZm4MzGVjEuruMLIYQQ+xIJmkXM8iM6WkTWHycjHND6PLS3GeUJudkOFEVJet9dQXNBP1sOHkVRGFFuZJu3xJlpNhcBFuY6w4H3nowSDeNnuWe2Wdd1AluMRYD2qv37HYAihBBC7MskaBYxi8w0t1gdNAO+tuZux0mUHvCCvzN0jLx+th5cwyuM89saZ6bZLM+o7GERoEnNLsA2ZCIAgY3RQbNWu9EYn410zRBCCCH6I0GziFleTmSm2dryDOiqQc6zerBJGmeagXCmubnNR0t77B9GdoTbzfUeNAPYxxwCgFa/Ba15F2B8qOh872FjA5sDmywCFEIIIfokQbOIWa7bYX7TT2scwV1fIrPAZqCba8lgk65Sh3SuaQYYXhGxGLA2tmyzxxugsdULQGVJ90WAkeyjpgPGhfMs+xNaax3e5c+E29C5Zp6D6k7vbLwQQggx2CRoFjFTVSU83rrFokyzGjHeWvEZga41g026Ms1qmpdnVJXlooY+jGzdFVvQvD2yc0Y/mWY1pwjHlOMAI9vc/sKv8a9+BzBqnh2Tj03grIUQQoh9iwTNIi7mYkCrFgLiygbFWIBm9xuBoBXlGZo5DZD0L89wOmxUhlrPbYsx07xxe9eHgqry3D62NLiOPB/njLMABXweAJScItxHXWzJokshhBBibydBs4iLmQW2rKZZUcMlGq5gKGi2sjzDZgeHO+n9pdqooUbGPdbFgGu3GR8KhpZkh7P/fVEUBdeBp5I15xpwZIHdifvYy1Dc/QfcQgghhIDkm+GKfYoZ0FrVPQOMmmO9o4k81eh2EUsQ2B89lGlWsgoyIpM6urKAD7/ezva6dgJBDbut98+zuq6zbmsTABOGF8Z1HPuIA8m94I/ofm9ajxcXQggh0o1kmkVcLC/PoGuhXp5iBM3W1DS3Ru073Y2qNM4zqOns7Gec9u4mD82hhZgTqgrjPpZid0nALIQQQsRJgmYRl7wcaxcCAiihzg25Kck0Z0ZwOHpoV911fyUaa7c0hW+PH57e9dpCCCHE3kKCZhEXszzD6wvi8wct2Wc406yamWbrapoVd2YEzaWF7vBUv/7azq3d1gQYI7hLC7JSfWpCCCGEQIJmEaf8iNIJqwec5CqdgG5ReYaRaU73dnOmyHHaW/sZp71uq/HaEinNEEIIIURiJGgWcYnMAlu1GNCsr7UrGkWuYJ+L4GKhBwPonaFMc05R0uc3UEZXGqUW67Y14/X1nMVvavOyu8loGTc+zkWAQgghhEicBM0iLnlRmWbrpwJWZCVf8qF3NHbtO7sw6f0NlOkTywDwBTS+3VDf4zZrQ10zACZUST2zEEIIMVAkaBZxyc/pyjRbVp4RUXdc6k5+n1p7U/i2mluc9P4GyriqAgpyjZ/vZ9W7e9zGLM3IcdsZWtr3JEAhhBBCWEeCZhGXbJcdW2jms1XlGZEdLoodye9Tb4/MNGdOeYaqKEyfYGSbv/6+vseFluYiwPFVhagZ0H9aCCGE2FtI0CzioigKueZUwHZrFwICFFkSNDeEdqygZGdWCcMhE8sBozvJqo0NUY81t3nZFmpHF+9QEyGEEEIkR4JmETerB5wodieduhGIF9i9Se9PC2WalawCFNWW9P4G0oThheG68c+qa6Me+8fyzeih21PHlgzwmQkhhBD7NgmaRdzMoM6qASc+f5BWzQ2YbeeSY5ZnKDmZU89sUlWFg0MlGl+tryMQ1ACoa/bw7lc1AMyYXM4wqWcWQgghBpQEzSJuZqbZqprm5nYfbaGgOVtvT3p/ZtCsZlC7uUhmiYbHG+C7TUaJxisfbSIQ1FEVhfmzxwzm6QkhhBD7JPtgn4DIPGav5jarguY2H016NgDuQN+DPWKhhWqaM6lHc6SJIwrJcdtp7wzwwCvfcexBw/jo2x0AzJo2hCHF2YN8hkIIIcS+RzLNIm6R5Rm6rvezdf+a2rw0aUYgaPc2JbUvXdfQO4x9ZGrQbLep/ODI0YCRbf7nvzej69H3CyGEEGJgSdAs4mb2avYHNDp7mVwXj+Z2H02aUaOreFrQtUDC+9I720AzzilTyzMATjx0ODdeMJ1xEQNMjjt4GMX57kE8KyGEEGLfJeUZIm5RUwE9frJcyf0aNbV5aQqaJQc6ekczSm5i3SHC7ebI3EyzaeywAm4472C++b6e3Y0ejj142GCfkhBCCLHPkqBZxM2saQZobfdRXpiV1P6MmuaubhB6WwMkHDR3DTbJ5EyzSVEUDhhXOtinIYQQQuzzpDxDxC0/MtNsQdu55nYfjcGuxW1ae0MfW/dNi5wGuBcEzUIIIYRIDxI0i7hFZpqtaDvX3OalVc9CwxgLrScRNIczza4cFLsr6XMTQgghhAAJmkUC3E4bdpvxq2PFVMCmdh8aKl57LgBaWzKZZuO5e0NphhBCCCHShwTNIm6KopCfY5RoJFueEdQ0WtuNwDvgLARCNc0J0tubjHOUoFkIIYQQFpKgWSQkz6KpgC3tfsxOz1p2ofH/EXXJ8TJLO9RsCZqFEEKIdDR//incd9/dPProQ5x66omceOJsfvvbX+P1ennkkQc58sgjOe642dx443/Q1tbGU089xrHHzmTTpo3hfWzZspnjjjuCv/zl4QE7b+meIRJitp0zs8SJam73hm/bckugLrmaZjPglkyzEEKIvVFHZ4AdDe2DfRoADC3OIdsdfyhpt9t5//13OPro47jvvkdYvvxDli79PTt37mDq1Kk88cQTrFjxOTfffCPjx0/kwgsv5sMP3+euu27lnnseRFEUfve72xk3bgIXXLAwBa+sl/MesCOJvUp+ONOcXHlGU1tX0O3IN9rM6R3N6FoARY3v11P3ecDfCUjQLIQQYu/T0RngF/d9TIc38SFgVsp22bnzp0ckFDgDLF58JQBVVefw0EP309DQwJVX/ozi4lwKC8t59NFHqK5eg6qq3Hjjb/jJT87h1VdfxuFwsHLlNzz66JPYbDYrX1KfMjpoDgQCPPLII7zwwgts376dkpIS5s2bx9VXX43b3fvktF/96le8+OKLvT5+5ZVXctVVV/G3v/2NG264ocdtKioqeP/995N+DZmqIDQVsLnN28+WfYt8flZRGRoAOnp7E0pefP2JtagezcVJnZcQQgghUmfcuAnh24qikJ+fz/jxE1AUJXx/YWEhbW2tAAwbVsXll1/DfffdjaqqLF58FSNGjBrQc87ooPm2227jmWee4YorrmDGjBmsXbuWJUuWsGnTJu69995en3fllVdy3nnndbv/22+/5ZZbbuHAAw+Muv++++6jrKws6j6Hw8G+zBzn3NLhxx/QcNgTK49vDmWaXQ4b7sJSOkL3a+2NqHEGzbr0aBZCCLEXy3Ybmd1ML88AuiU3FUXpMeGp63r49pw587jvvrsJBgPMmTMvoeMmI2OD5q1bt/LUU09x8cUXc/nllwNwyCGHAHDLLbfw2Wefhf97T1VVVVRVVUXdp2kaN998MyeccAKzZ8+OemzChAndtt/XFeV19UBubPMmPBWwKVQTXZDrjBqdrbfVA+Pj2ldkLbS0nBNCCLE3ynbbGVtZMNinMSjuv/9uiouLsdvt3H337/m///fmAT1+xnbPePvtt9E0jdNOOy3q/nnz5qEoCsuWLYtrf88//zxr167ll7/8pZWnudeKCppbOhPej1meUZjjRMkqAMX4ldQT6KARLs+wOcCV0/fGQgghhMgYX3zxGS+++Dy/+MWN/OIXN/Laa6/y4YfvDeg5ZGzQXF1djaIojBkzJur+goICysrKWLNmTcz78ng8LF26lHPOOYcRI0ZYfap7peLIoLk18bpmcyFgQa4LRVVRwm3n4u+goYc7ZxRH1UQJIYQQInN1dLRz6623MG/e6Rx88CFMm3Ygp59+JnfeeStNTU0Ddh4ZW55RW1tLXl4eTqez22PFxcXU1dXFvK9nnnmGlpYWLrvssh4ff+qpp3jvvffYunUrubm5HH300Vx//fWUlJT0uL1JVRVUNXXBmy00lc/8/4FUVODGpioENZ3mdh/2RGuaQy3nivJd2O0qal4JwfYG6GiMf5+eJgBsuUUJn89gGMzrKKwh1zDzyTXcO8h1zByKonT7t1pRlKhraCbA/vSnPxII+Lnmmp+Fn3PVVVfz0Ufv87vf3cZtt901IOecdkGz3+9ny5YtfW6Tl5eHz+frdTGew+Ggo6Ojx8f2FAwG+ctf/sLcuXMpLe154dn333/P1VdfTUlJCStWrOCBBx7gq6++4m9/+xtZWb3X8hYX5wxIxjM/P7F64mSVFLjZ3eih3RukqCj+cghd12kJ1TQPLcujqCgHX1EZ7TvXoXqa4t5ne0c9AO7i8oTOZ7AN1nUU1pFrmPnkGu4d5Dqmt/fee7ff+/Lzs3jmmad63UdRUQ4ffviBxWfWt7QLmnft2sXcuXP73GbBggW4XC78/p57BPt8vj5bzkV677332LlzJ2eccUa3x+bOnctRRx0VFUwfcsghFBUVccstt/Dyyy/z4x//uNd9NzS0pzzTnJ+fRUuLh2BQS9lxelOY62J3o4cddW00Nsa/kre1w0cgaKyKddmgsbGdgNNY3OBrrotrn7qu4avfAUAguzSh8xksg30dRfLkGmY+uYZ7B7mOmW8wrmGsiba0C5qrqqqorq7ud7ubbrqJ1tZWfD5ftxKNhoYGJk6cGNPx3nrrLQoLC3vstOF2u3sMvk888URuueUWvvvuuz73rWk6mqb3uY0VgkGNQGAwgmbj517f3JnQ8eubuhYQ5mU5jX2Eapr1jmb8Xh+KLbZfUa2tHoKhD1F5FYPy80jWYF1HYR25hplPruHeQa5j5kvHa5ixRT+TJ09G13XWrl0bdX9dXR21tbVMmTIlpv18/PHHHHbYYahqzz8Kn6/7mOjOTiPYc7lc3R7blxTnGR8oEl0I2BQxQrsgFIAr4aEkOnpHU8z70pp2hm+rBUMSOh8hhBBCiN5kbNB8wgkn4HA4ePnll6PuN/97zpw5/e6jpqaG7du3M2HChB4f/8lPfsKcOXO6Bc6vv/46AIceemgip77XMNvOtbT7CCTwFUpzxAjtwlxjX2pEr+Z4OmhozZFBc0Xc5yKEEEII0Ze0K8+IVUVFBYsWLeKhhx6ioKCAmTNnsmrVKpYuXcr8+fPZb7/9wttedNFFbNy4sdvY6507jUBr+PDhPR7joosu4oorrmDRokX85Cc/IScnh+XLl/PII48wY8YMTjjhhNS9wAxgBs060NTqpTTOASfNoUWANlUhJzRRKHKSn94WT9C8y3h+diGKI7Z6diGEEEKIWGVs0AxwzTXXUFhYyNNPP839999PeXk5ixYtYvHixVHbaZpGMBjs9vza2loAcnNze9z/sccey0MPPcTDDz/MjTfeSFtbG5WVlVxyySUsXry415KOfYU5ShugIYGguSk02KQg1xnuMmIMOLGBHkSLK2g2PgBJaYYQQgghUiGjg2ZVVVm4cCELFy7sc7vHH3+8x/vnzJnT76LDI488kiOPPDLhc9ybFSU54KS+2agNN2ujAWPASV4pessu9IiSi/6YmWYpzRBCCCFEKuzbqVKRlIIcJ2ooQ5xI0Fzb5AGgbI8Mta2oEoBg0/aY9qMHA+itxrcGkmkWQgghRCpI0CwSpqoKhXlG14uG1s5+to6m6zq1oZZzZYXRNchq0TAAtIYadL3/ln16ay3oxkJECZqFEEIIkQoSNIukmCUajS3xZZpbO/x4/Uad+Z6ZZjWUacbvQW9v7HdfkZ0zlEIpzxBCCCGE9SRoFkkpCtUjN8RZnmGWZkBPQfOw8G2tsabffYWDZkVBzSuP6zyEEEIIIWIhQbNISrGZaY6zPKPPoLlwKIRqpWMKmptC7ebyymKeICiEEEIIEQ8JmkVSzKC5uS2+ASdm0Oywq+FpgCbF7kQJZYzjyTRLPbMQQgghUkWCZpGUolCvZh1jMmCszEWApQXucAeOSOEOGnEFzVLPLIQQQojUkO+yRVIiezU3tHijBp70pbd2cya1aBhs/hKtcTu6roeHn+xJ93eidzQZz5FMsxBCiL2c7utAa9ox2KcBGOWUijM77ufNn38KJ588F7fbzQsvPIvX28ns2cfwy1/exF//+jgvvvg8HR0eDj10BjfccDPnnXcmM2bM5MYbfxO1n7vuupWPPvqAF154FZvNZtGr6p0EzSIpxZFBc2snUBDT82qb+wmai0OLAf2d6O0NKLklPW5nDjUBCZqFEELs3XRfB21PXQ++jsE+FYMzm9xzl8QdONvtdt5//x2OPvo47rvvEZYv/5ClS3/Pzp07mDp1Kk888QQrVnzOzTffyPjxE5k79wc8//wzXHvtL8jONo4VCAR49923+MEPzhiQgBmkPEMkyRiBbdyOdcCJP6CFW9T1mWkO6auuObLdnFooQbMQQgiRKRYvvpLhw0fwwx+eQ1ZWNg0NDVx55c8YPXo0J598CqNGjaG6eg2nn34GXq+Xd95ZFn7up5+uoKWlhVNPPX3AzlcyzSIpNlWlMNdFY6s35qC5vqUTc2TJnoNNTGrBEKODhq4bQfPwaT1uFw6abQ6UnKJ4T18IIYTIGEoos5vp5RkA48ZNCN9WFIX8/HzGj58QVY5ZWFhIW1srQ4YM5bDDZvLaa68yb94PAHjrrX9x8MGHMGxYVXIvIg4SNIukFeUZQXN9c2xt5/pqN2dS7E6U/Ar05p0EG3ofp63VbQaMLLOiyBcnQggh9m6KMxtb+djBPo2kud3RSTNFUbrdB4QnA59++pnccMN11NRso6ysnA8+eJfrr79hAM60i0QZImkVRcanzO317TFtHxU0F/QcNENXB43eyjN0LUhg+2pj26GTYjq2EEIIITLPzJlHUlZWzptvvs7y5R9ht9s5+ujjBvQcJNMskjasLAeA3Y0e/AENh73vz2Jm0Jyf48Tl7L14Xy0aBpu+QGvquYOGVrcJfMa+7MOmJPEKhBBCCJHObDYbp502n7fffpMRI9Zx0klzcTqd/T/RQpJpFkmrLDWC5qCms6uh/xW9Zo/m3uqZTeHFgP5O9Lb6bo8Har4zbiiqZJqFEEKIvdxpp81n8+ZNfPDBu5x22sAtADRJplkkrSoUNAPU1LVTVZ7b5/b99Wg2RXbQCNZvQc0rjXo8GAqa1fIxKM6+9yWEEEKIzFZaWsa0aQfi8/kYM2bcgB9fgmaRtOICNy6HDa8/SE1d33XNuq53Bc191DMDqEVDwZUD3nYCGz7FMergrv0EvAR3rgOkNEMIIYTIJM8///eY7rvnngej/ruurpZVq1byf//vf6bs3Poi5RkiaaqiUFkaWgzYT9Dc5vHT6QsC/WeaFdWOY+xhAAQ2fY7u7+rOEdy5DrQAALZKCZqFEEKIvVVzcxPV1Wu44YbrGTt2LMcdd+KgnIcEzcISw0qNkoya2rY+tzPrmaH/mmYAx/gjjBsBH4GNn4fvN0szsDuxVWR+6x0hhBBC9Ozhhx/gpz+9mLy8PG677Xeo6uCEr1KeISxhLgbc3eTBHwjisPfcFSOWHs2R1PKxRr/mll34132EY8KRAARqVgFgGzoRxeZI9vSFEEIIkaauu+6XXHfdLwf7NCTTLKxhtp3TddhR33sHjW2hTLTToVKY5+p3v4qihLPNwZrVaG0N6J1taHVbAKlnFkIIIcTAkKBZWGLYHh00erN+WzMAY4bmo+7Rd7k3jvEzQ7d0fN++QeeHf4XQIG6pZxZCCCHEQJDyDGGJojwXWS4bHm+Qmtqeg+ZAUGPjjhYAxlUVxLxvNb8c25AJBHeuxf/tG133lwxHLRme3IkLIYQQQsRAMs3CEoqihOuae+ugsXV3G76ABsC4YbEHzQB2c0GgcTAck44ma+5/oCjyKyyEEEKI1JNMs7DMsNIcvq9poaau5w4a62uaw7fHVMYXNDvGH0FwRzVoQZwHnYZNMsxCCCGEGEASNAvLmG3naps68fqCuJzRHTTMeuahJdnkZsXX8UKxO8k67jJrTlQIIYQQIk7y3bawTGVZ12LA7fXdSzTMTPP4OOqZhRBCCCHSgQTNwjKRHTT2rGtuaOmksdULwNg465mFEEIIIQabBM3CMgU5znDZxXebGqIei6xnjncRoBBCCCHEYJOgWVhGURQOnVQOwKdramnz+MOPmfXMOW47Q4qzB+X8hBBCCCESJQsBhaWOPrCSd76sIRDUWL5yJyceanS5WBfKNI8bVoAS41ATIYQQQux95s8/hZNPnovb7eaFF57F6+1k9uxj+OUvb+Kvf32cF198no4OD4ceOoMbbriZtWvXcPXVi3vc13PPvcLQoZUDct4SNAtLjajIY/TQfDbuaOG9r7dzwiFV+PwaW3cZbejiGWoihBBCiGiegIed7bWDfRoADMkpI8ueFffz7HY777//DkcffRz33fcIy5d/yNKlv2fnzh1MnTqVJ554ghUrPufmm29k/PiJnHfeRbz88uvh53s8Hq666jKKi0soKyu38iX1fd4DdiSxzzjmwEo27mhhe10767Y1s+K7XWi6MfZa6pmFEEKIxHgCHn798e14Ap7BPhUAsuxZ/NcRv0oocAZYvPhKAKqqzuGhh+6noaGBK6/8GcXFuRQWlvPoo49QXb0Gh8NBSUlp+Hm33noLbW1tLF16P3b7wIWyUtMsLDdjcgXuUI/me/72Le98WQPA2GH5jK8qHMQzE0IIIUQ6GDduQvi2oijk5+czfvyEqBLOwsJC2tpao5739tvL+Oc//8611/4Hw4ePGLDzBck0ixRwOW3M3G8I73xZE14MOHpoPtf+8ABUVeqZhRBCiESYmd1ML88AcLvdUf+tKEq3+wD00DfVALt27eTOO/+H448/kblzT0vouMmQoFmkhLkgEIyA+bqzDyDbHd8UQCGEEEJEy7JnMbpgYDOs6UDTNP7rv/6T3Nxc/uM/bhyUc5CgWaTEiIo8zjtxAjvrO1hw1GgJmIUQQgiRsMcff5Rvv/2ae+55kNzc3EE5BwmaRcocP71qsE9BCCGEEBnuu+9W8uc/P8iCBWdRWTmM+vq68GP5+QU4HAOTmJOgWQghhBBCpK3lyz8iGAzy/PP/y/PP/2/UY0uX3s/BBx8yIOeh6JEV1sJStbWt/W+UBLtdpagoh8bGdgIBLaXHEqkj1zHzyTXMfHIN9w5yHTPfYFzDsrK8mLbL6JZzgUCA3//+90yaNIlrr7025ud5PB7uvPNOjjnmGPbff39OPPFEHnjgAYLBYLf9P/DAA5x00knsv//+HH300dx55510dnZa/VKEEEIIIUQay9jyjB07dvDzn/+crVu3Em+y/Nprr2XFihVcd911TJo0iS+++IKlS5dSV1fHjTd2rci87bbbeOaZZ7jiiiuYMWMGa9euZcmSJWzatIl7773X6pckhBBCCCHSVMYGzb/4xS+w2Wy8+OKLzJo1K+bnffLJJ7zzzjvcfPPNnHvuuQAccsghNDc38+ijj3LRRRdRVVXF1q1beeqpp7j44ou5/PLLw9sB3HLLLXz22Wfh/xZCCCGEEHu3jC3POPvss/nLX/5CWVlZXM9btmwZiqIwb968qPtPPfVUgsEg77zzDgBvv/02mqZx2mnRzbPnzZuHoigsW7YsuRcghBBCCCEyRsZmmk899dSEnlddXU15eTkFBQVR948dOxZFUVizZk14O0VRGDNmTNR2BQUFlJWVhbcTQgghhBB7v4wNmhNVW1tLcXFxt/udTie5ubnU1dWFt8vLy8PpdHbbtri4OLxdX1RVSenYaJtNjfp/kZnkOmY+uYaZT67h3kGuY+ZL52uYVkGz3+9ny5YtfW6Tl5dHeXl5wsfw+Xzk5OT0+JjD4cDr9Ya3661ZtsPhoKOjo99jFRfnoCipC5pN+fmJzX0X6UWuY+aTa5j55BruHeQ6Zr50vIZpFTTv2rWLuXPn9rnNggULuP322xM+hsvlwu/39/iYz+fD7XbHtV1fGhraU55pzs/PoqXFQzAo/SgzlVzHzCfXMPPJNdw7yHXMfINxDYuKek6m7imtguaqqiqqq6tTeozy8nLWr1/f7X6v10tbW1s4i11eXk5rays+n69biUZDQwMTJ07s91iapqNpqZ8dEwxq0sR9LyDXMfPJNcx8cg33DnIdM186XsP0KxhJscmTJ7N7924aGhqi7jcX9k2ZMiW8na7rrF27Nmq7uro6amtrw9sJIYQQQoi93z4XNM+ZMweAV155Jer+l19+GYfDwXHHHQfACSecgMPh4OWXX+62XeR+hBBCCCHE3i+tyjNi5fP5upVxtLS08O233wJQVFREVVUVACeeeCKlpaU8/fTTAEybNo1TTz2VP/7xj9hsNqZMmcLHH3/M008/zU9/+tNweUZFRQWLFi3ioYceoqCggJkzZ7Jq1SqWLl3K/Pnz2W+//QbwFQshhBBCiMGUkUHz7t27Oeuss6Lu+/DDD/nwww+B6MWCwWCQYDAYte1tt93Gn/70Jx555BHq6uoYNmwYN9xwAxdccEHUdtdccw2FhYU8/fTT3H///ZSXl7No0SIWL16cwlcnhBBCCCHSjaLreupXqu2jamtbU7p/u12lqCiHxsb2tCuWF7GT65j55BpmPrmGewe5jplvMK5hWVleTNvtczXNQgghhBBCxEuCZiGEEEIIIfohQbMQQgghhBD9kJpmIYQQQggh+iGZZiGEEEIIIfohQbMQQgghhBD9kKBZCCGEEEKIfkjQLIQQQgghRD8kaBZCCCGEEKIfEjQLIYQQQgjRDwmaM1R1dTWXXnophxxyCAcddBDnnXcen3766WCflujD8uXLufDCCznssMOYMWMG55xzDu+++27UNnJdM8Onn37KpEmTuOCCC6Lul+uX/jweD3fccQdHHXUU06ZN49RTT+W5556L2qampoZrr72Www47jGnTpnHmmWfy5ptvDtIZi0iapvHss89yxhlnMH36dGbMmMHZZ5/Nyy+/HLWdvBfTy5o1a5gzZw4TJ07k+++/7/Z4rNdrsN+bEjRnoK1bt3LeeefR0NDAnXfeyb333ktOTg4LFy7km2++GezTEz14++23ufjii3G5XNx1110sWbKE7OxsLrvsMl577TVArmum8Pl8/PrXv2bPFvdy/dKfpmksXryYl19+mWuvvZaHH36YqVOnctNNN/H8888D0NzczPnnn893333Hb37zGx5++GHGjx/PVVddxbJlywb5FYi77rqLX//61xx88MH86U9/4o9//COjR4/mF7/4BQ8++CAg78V08+STT/LDH/6Qtra2Hh+P9XqlxXtTFxnnV7/6lX7ggQfq9fX14fu8Xq9+zDHH6BdddNHgnZjo1WmnnaaffPLJus/nC9/n8Xj0GTNm6D/+8Y91XZfrmin+8Ic/6EcccYR+xhln6Oeff374frl+6e+VV17RJ0yYoH/++efh+zRN0y+44AL917/+ta7run733XfrEydO1NetWxf13B/+8If6iSeeOKDnK7qbPn26fvbZZ9tWjnwAAAzlSURBVEfdp2mafvzxx+snnXSSruvyXkwnK1as0KdOnao/99xz+tKlS/UJEybo69evj9om1uuVDu9NyTRnGF3XeeuttzjiiCMoLi4O3+90OjnhhBP45JNPaG5uHsQzFHvSdZ2f/vSn/OY3v8HhcITvd7vdjBw5kp07d8p1zRBr167l4Ycf5j/+4z/Izs4O3y/XLzO8/PLLTJs2jYMPPjh8n6IoPPbYY/z2t78FYNmyZUyaNIlx48ZFPXfu3Lls3ryZ6urqAT1nEc3lcuFyuaLuUxSFrKwssrKy5L2YZgoLC3nmmWc466yzenw8nuuVDu9NCZozzM6dO2lubu72SwMwfvx4gsEg69atG4QzE71RFIVTTjmFww8/POp+v9/P5s2bqaqqkuuaATRN4z//8z859NBDmT9/ftRjcv0yw9dff8306dN7fTwYDLJ+/fperyMYtZli8CxcuJBPPvmEZ599lra2NlpbW3n88cdZt24dP/nJT+S9mGYmTJjAlClTen081uuVLu9Ne8qPICxVW1sLEPWJzGTeV1dXN6DnJBJz991309TUxLnnnivXNQM8/fTTrF69mr///e/dHpPrl/5aWlpoaWmhvLyc+++/n+eee45du3ZRXl7OmWeeyeLFi2lqasLv98t1TGOXXHIJWVlZ/Pa3v+XXv/41AFlZWdx555384Ac/CNfAyjXMDLH+7UyX96YEzRnG5/MBRH3NbzLv83q9A3pOIn7PPPMMDz74IKeffjqnnHIKn332GSDXNV3t3LmT3/3ud1xxxRWMGDGi2+Pyvkx/HR0dADzxxBNMnjyZW265BZvNxquvvsrSpUupq6vj0ksvBeQ6prN3332XO+64g1NPPZXTTz+dQCDACy+8wE033URpaSlOpxOQa5gpYv3bmS5/YyVozjDmHwS/39/tMfOXyu12D+g5ifjcc8893H333Zx66qnceuutgFzXdHfLLbcwfPhwLr744h4fl+uX/ux245+7wsJC7r77blTVqE6cOXMmu3bt4n//93+56qqrALmO6crn83HTTTdx0EEHcfvtt4fvnzVrFmeeeSa/+c1vWLJkCSDXMFPE+rfTrGMf7OsqNc0ZpqKiAoCGhoZuj9XX1wNQXl4+oOckYnfzzTdz9913s2jRIpYsWRL+h1yua/p64403eO+997jpppvwer20t7fT3t5OMBgkGAzS3t5OSUkJINcvnRUUFGC32zn44IPDAbNp1qxZBINBqqurcTqd4WsWSa7j4NuwYQO1tbXMmjUr6n5FUZgxYwabN2+W92KGifXfvsLCwrR4b0qmOcNUVFRQUlLS4yrR1atX43A4wkXxIr384Q9/4JlnnuHGG2/kwgsvjHpMrmv6eueddwgGg5x//vk9Pn7wwQdz5ZVXyvVLcw6Hg3HjxvVY9xgMBgGjM8PEiRNZu3Ztt21Wr14N0OeiJpFaZkaxr2yjzWaT92IGifXfPlVV0+K9KZnmDHTSSSfx8ccfhwvowajXW7ZsGbNmzSI3N3cQz070ZNmyZdx///1cd9113QJmk1zX9LR48WKefPLJbv+bPHkykydP5sknn+TMM8+U65cB5s6dy3vvvdctW/Xuu+/idruZOHEiJ598MmvXrg3/QwxG55RXX32VCRMmMGbMmIE+bREyduxYXC4Xy5cvj7pf13U+/fRTSktLqaiokPdihon1eqXDe1PR9T3GWom0t2vXLubPn8/QoUO56qqrcDqdPPjgg3zzzTf87//+LxMmTBjsUxQRAoEAc+bMQVVVfve73/W4zcSJE2lsbJTrmkHMEdqPP/44IO/LTNDR0cGZZ56JoihceeWVFBQU8NJLL/HKK69w9dVXc8UVV9De3s4ZZ5xBMBjk+uuvp7i4mKeeeop//etfPPzwwxxxxBGD/TL2aXfffTf33HMP8+fP59RTT0XXdf72t7/x2muv8dvf/pazzz5b3otpZNu2bTQ2NgLw7LPP8uyzz7J06VIqKyuB+P7tS4f3pgTNGWrDhg3ceeedfPrpp2iaxgEHHMB1113H1KlTB/vUxB62bdvG8ccf3+c2b731FlVVVXJdM8ieQTPI+zIT1NXVsWTJEt555x3a29sZOXIk5513Hueee254m927d3PnnXfywQcf0NnZyaRJk7jqqqu61dKKwfHcc8/x1FNPsX79elRVZcKECSxcuJC5c+eGt5H3Ynr41a9+xYsvvtjr4/H+2zfY700JmoUQQgghhOiH1DQLIYQQQgjRDwmahRBCCCGE6IcEzUIIIYQQQvRDgmYhhBBCCCH6IUGzEEIIIYQQ/ZCgWQghhBBCiH5I0CyEEEIIIUQ/JGgWQgghhBCiHxI0CyHEPu7ee+9lypQpfPDBBynZv9/v54ILLmDWrFls3749JccQQohUk6BZCCH2Ac888wwrVqzodv/bb7/N0qVLueqqq5g9e3ZKju1wOPh//+//oes6V155JT6fLyXHEUKIVJKgWQgh9nLBYJA77riDTz75JOr+1tZWbrjhBiZMmMCll16a0nMoLi7mpptuYtWqVdx3330pPZYQQqSCBM1CCLGXW7t2LR0dHd3uf/jhh2lqauLnP/85Npst5edxyimnsN9++/HII49QW1ub8uMJIYSVJGgWQoi92K9+9Svmz58PwD333MPEiRO5++678Xg8PPbYYwwbNoyjjz466jk/+tGPmDhxIg0NDfzhD3/guOOOY//99+eYY45hyZIl3corvvjiC6644gqOOeYY9t9/f4488kgWLVrE+++/3+18zjvvPLxeL88++2zKXrMQQqSCfbBPQAghROqcd955ZGdn8+STTzJnzhxOOeUUxo0bx4oVK+jo6OAHP/gBiqJEPcfpdAJw44030tbWxuLFi/H7/bzwwgs89NBD1NXVcfvttwPw1Vdfcf755zN8+HAuuugiysrKqKur4/nnn+eyyy7j7rvv5oQTTgjv+6ijjkJRFN577z2uuOKKgftBCCFEkiRoFkKIvdjUqVNZt24dAOPGjWPOnDmAsTAQYNasWd2eYwbRjY2NPPnkk+HSjQULFnDqqafy4osvcuWVV1JVVcWrr75KMBjkrrvuYtq0aeF9nHXWWVx99dVs2bIlat9lZWVMmDCBb7/9lqamJgoLCy1/zUIIkQpSniGEEPugzZs3AzB69Ohet/nxj38cVeucnZ0dzhqbiwodDgdAt84cubm5/PnPf+biiy/utt9Ro0ahaRpbt25N7kUIIcQAkqBZCCH2QQ0NDYDR1aI3EydO7HbfyJEjAcL9ls8991yKi4tZsmQJp512GnfccQfvv/8+nZ2dve63pKQk6hyEECITSNAshBD7oNbWVgDy8vJ63SYnJ6fbfS6XCyAcFA8fPpxXXnmFSy+9FK/Xy5///Gf+z//5P8ycOZP/+Z//6TF4zs/PB6ClpSXp1yGEEANFgmYhhNgHmcGyGTz3pKeA1+PxAJCVlRW+r6ysjOuuu45//etfLFu2jN/+9reMHDmSxx57jFtvvbXbPpqbm4Gu4FkIITKBBM1CCLEPiqVE4vvvv+92n1kLPWLEiB6fM3z4cM4++2yeffZZKisref3117ttE0tpiBBCpBsJmoUQYi9nLuaLzBybtckbN27s9XnPPvsswWAw/N/t7e289dZbqKrKYYcdhq7rLFq0iIsuuihqO/OYqqpit3dv0rRp0yZUVWX48OFJvS4hhBhI0nJOCCH2cmZw+sorr1BUVMTQoUOZNWsWjz32GB9//DEnnnhij88LBAJceOGFzJkzB0VReOGFF9i+fTvnnXce5eXlAMyYMYPf//73nHPOOcydO5fS0lKam5t544032LZtG9dee23UPmtra6murubAAw+UdnNCiIwiQbMQQuzlDj74YM4991xeeeUVHn74YU4//XSuvfZasrOz+eCDD3p93i233MKLL77In//8Z2praykrK+Pyyy+PGkpy2WWXUVFRwQsvvMCDDz5IS0sLhYWFjBs3jrvvvpuTTjopap/mlMBjjjkmJa9VCCFSRdF1XR/skxBCCDHw/vu//5vHH3+cBx98MGqU9gUXXMAnn3zCW2+9RVVVlaXHPOuss1i3bh1vv/12uK5aCCEygdQ0CyHEPuryyy+noKCA3//+991qklPh9ddf59tvv+WSSy6RgFkIkXEkaBZCiH1UcXExv/nNb1izZg0PPPBASo/V0NDAf//3f7Pffvtx2WWXpfRYQgiRClLTLIQQ+7C5c+dSXV3NPffcw9SpU5k9e7blx/D7/fzsZz8D4J577sHpdFp+DCGESDWpaRZCCCGEEKIfUp4hhBBCCCFEPyRoFkIIIYQQoh8SNAshhBBCCNEPCZqFEEIIIYTohwTNQgghhBBC9EOCZiGEEEIIIfohQbMQQgghhBD9kKBZCCGEEEKIfkjQLIQQQgghRD/+P3xgMcrLGZDtAAAAAElFTkSuQmCC", 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YW3YFwLN/Bb5LRxUnEkLcq/NVF1l2cjUA7RLa8FDLQYoTNS4ZcMPAuEFtaZYaA8CCNccovlqrOJEQ4l44t8xHry0HwDF4Gpo9RnGir7teVbBFATq162eie2WjGSFChc/vY87hBfh0H1aTlam5k8K2mnBNeH93EcJqMTFjbC4mTcPl9jF7+RH8UlUQIiR4Tu3Ce2wrANYOD2Jp9YDiRLdmiknCMeA5APTyIlx5SxQnEkLcrc9Pr+FclfEK77j2o0mPTlOcqPHJgBsm2jaNZ0x/Y1WF/NNlrN9zXnEiIcSd+J2VuDa+A4AWk4y9rusarCxZAzC36gaA5+AqvBcL1AYSQtzR2coLfH7qCwDaJ7RlSIsBihMFhgy4YeSxAW1pkWa8tLlw7XEuS1VBiKDm2jwPvbYCqKsm2KIVJ/pmRlXhRbDHAHWrKnikqiBEsPL6vczNX4Bf92MzWcN61YQbRcZ3GSGMqkJHo6rg8TF7ab5UFYQIUp4TO/Ae3w4Y681aWnZRnOjumKITr6/Pq1dcxpW3SHEiIcTtfH7qC85XGevkj8scQ1p0iuJEgSMDbphp3SSORwcYqyoUnL3Kml3nFCcSQtzIX1uBa9McALTYlOs7hoUKS2Z/LG16AOA5tBrvhXzFiYQQNzpTcY4Vp9cCkJXYjsHN+ytOFFgy4IahRwe0oWW6sUD84vXHKSqrUZxICPFVrs1z0Z2VADgGT0ezRSlOdG80TcM+6AU0u/E841z/FrpHNpoRIlh4/F7m5i80qglmG89FUDXhmsj6biOExWysqmA2abg9ft6SqoIQQcNzPA/viR0AWHMfwtKik+JE9WOKTsA+sG5VhcoruLYvVJxICHHN8pOruVB9CYAJmWNJjUpWnCjwZMANU60y4nhsYBsAjp4rZ/VOqSoIoZq/pvzLakJcKva+TylOdH8s7ftiadsLAM/hNXjPH1acSAhxuuIsK+uqCTlJWQxq1k9xIjVkwA1jY/q1pnVGHABL1h/nUqlUFYRQRdd1XJvmoLuqAHAMmRFy1YQbGVWF59EcxvOMc/0sdLes3iKEKh6fhzmHF6Cj4zDbeTbnSTRNUx1LCRlww9hXqwoeb11VwS9VBSFU8B7fhvfULgCsnR7G0ixXcaKGYYqKxz5oKgB6VQmubQsUJxIici09uYpLNZcBmJD5KClRSYoTqSMDbphrkR7LuEFtATh2vpyVO84qTiRE5PHXXMW5eR4AWlwa9j6hXU24kbVdHyzt+gDgObIO77mDihMJEXlOlp9m9Zn1AOQmZzOgWR/FidSSATcCjO7XijZNjJcQP9hwgosl1YoTCRE5dF3HueFtcBl/7xxDX0Kz2tWGagT2QVPRouKBulUV3FKJEiJQ3D4Pc/MX1lUTHEyJ4GrCNTLgRgCzycSMRztiMWt4fX5mfpaPz+9XHUuIiOA9ugXfmb0AWDuPwNK0g9pAjcTkiMM+6AUA9OpSXFvfV5xIiMjx2YkVFNVcAWBi1mMkORLVBgoCMuBGiOapMYx/sB0AJy9WsCJPqgpCNDZ/dRnOLfMB0OIzsPd5UnGixmVt2xNLpvGObU/BBrxn9itOJET4O371FGvObgSgY0oH+jftpThRcJABN4I80qcl7ZoZLyF+tPEE54ulqiBEY9F1HefGt8FdA2hGNcESftWEGzkGPIcWlQCAc+NsdJc8zwjRWNw+N/PqqglRFqkmfJUMuBHEbDJWVbCYTXh9OrM+OyxVBSEaibdwE74z+wCwdhmJpUmW4kSBoTlicTz4IgB6dRnOre+pDSREGPvkxOdcri0GYFLWOBLtCYoTBQ8ZcCNM05QYJgw2qgqnLlWyfNsZxYmECD/+qlKcW94FQEtogr33RMWJAsvSpjuWrAGAMeh7T+9VG0iIMHS07ATrzm4GoEtqLn2a9FCcKLjIgBuBRvZuSWZz47e8jzed5NzlKsWJhAgfxqoJb4GnFjSNqKEvoVlsqmMFnGPAFLToRACcG99Gd8rzjBANxfWVakK0JYpnOkyUasINZMCNQCaTxvSxuVgtJnx+nVlL8/H6pKogREPwFGzAV7cOrK3raMwZmYoTqaHZY3AMfhEAvebq9TfbCSHu38fHl1PsLAVgUvY4EuzxihMFHxlwI1ST5GgmDmkPwOmiSpZtO604kRChz19Vgquuc2pKbIat53i1gRSztOqGJXsQAN5jW/Gc2q04kRChr7DsOOvPGdWEB1I70Tuju+JEwUkG3Ag2vFcLslsYVYVPN5/iTFGl4kRChC5d13Gufws8TtCurZoQedWEGzn6P4MWY2wX6pKqghD3xel1MS9/IQAx1miezpkg1YTbkAE3gpk0jWljc7FJVUGI++bJX4fv/CEAbA+MxZzeTnGi4GBUFaYBoNdWXN+yWAhx7z46vowSZxkAT2WPJ94WpzhR8JIBN8JlJEXz5FCjqnD2chWfbTmlNpAQIchfeQXX9gUAmJKaY+s5TnGi4GJp2RVrzmAAvMe34Tm5U3EiIULPkdKjbDy/FYBuaV3omf6A4kTBTQZcwbCeLejQMhGApVtPc/qSVBWEuFu67v9KNcGEY+i30MxW1bGCjr3fM2gxyQC4Nr6Dv7ZCcSIhQket18m8/EUAxFpjeLrDE1JNuAMZcMX1qoLdaq6rKhzG45WqghB3w3N4Lb4L+QDYuo3FnNZGbaAgpdmicAyZDoDurMQlVQUh7tqHx5ZS5roKwOQOTxBni1UbKATIgCsASE+M4qmHjKrCuSvVfLrlpOJEQgQ/f8XlL6sJyS2x9ZBqwjextOiMNXcoAN4TeXiO56kNJEQIyC8pZPOF7QD0TH+AHuldFScKDTLgiuuGdG9Obmvj3c7Ltp7h5EV5CVGI2zGqCbPA6wbNbKyaYLaojhX07H0no8WmAODaPFeqCkJ8g1pvLfOOGNWEOGssT2WPVxsohMiAK64zaRrTRudgt5nx68aqClJVEOLWPIe+wHexAABbj8cwp7ZWnCg0GFWFGUBdVWHTHHRdV5xKiOD0wdHPuOoqB+DpnAnE2mIUJwodMuCKr0lNjGLyMGPnpQvF1Xy8SaoKQtzIX16Ea7txVcWU0gpb90cVJwotluYdsXYcBoD35E68x7crTiRE8DlUcoQtF3cA0CujG93SOitOFFpkwBU3GfJAMzq1MaoKy7ef5viFcsWJhAgeut+Pc91M8LnBVFdNMEk14V7Z+z6FFpcGgHPzXPw1V9UGEiKI1HhqmJ+/GIB4WxyTsqXff69kwBU30TSNF0fn4rCZ0XV4a2k+bo9PdSwhgoLn4Cp8RUcBsPUYhzmlleJEoUmzOq5XFXBV49r4jlQVhKiz+OinlLuNfvozHSYQa5Vqwr2SAVfcUkqCg6cfzgLgYkkNH22UqoIQ/qsXce0wrqqYUttg6zZGcaLQZmmWg7XzCAC8p/fgPbZVcSIh1DtQfJjtl3YB0KdJD7qmdVKcKDTJgCtu68GuTenczliYfUXeGY6dk6qCiFy630/t+lng84DJItWEBmLv/SRafAYAzi3z8VeXKU4khDrVnhreO7IEgARbHJOyHlecKHTJgCtuS9M0XhyVQ5Tdgg7MWnoYl1QVRITyHFiBv+gYALae4zEnt1CcKDxoVjuOoTMADVzVODe+LVUFEbEWFX5CudvYTfTZnCeJtkYrThS6ZMAV3yg53sGzw42qQlFZLR9uOKE4kRCB5yu7gGuncVXFlNYW2wOjFScKL5Ym2Vi7jATAd2Yf3qObFScSIvD2XTnIjqLdAPRr2ovOqbmKE4U2GXDFHQ3o3ISu7Y2F2VftOEvh2atqAwkRQLrfV7dqghfM16oJZtWxwo699wS0hCaAVBVE5KnyVPNewQcAJNoTmJj5mOJEoU8GXHFHmqbxwqgcouuqCm8ty8fllqqCiAzu/Z/jv2K8cmHvNQFzUnPFicKTZrETNfQl0DRw1+LcMFuqCiJiLCr8mEp3FXCtmhClOFHokwFX3JWkODtTRmQDcLmsliXrjytOJETj85Wex73zQwBM6e2xdhmlOFF4M2dkYu3yCAC+s/vxFmxUnEiIxrfn8gF2Fu0FYEDTPnRK6aA2UJiQAVfctX6dMuielQrA6l3nKDgjLyGK8KX7vTjX/R38XjBbiRr6EppJnjIbm73XBEyJTQFwbn0Pf1WJ4kRCNJ5KdxXv11UTkuyJTMiSXREbijxbi7umaRrPP9KBGIexNNKspfk43V7FqYRoHO69y/AXnwLA3nvi9aFLNC7NYsNxrargqcW5/i2pKoiwtaDwI6o81QBMyX2SKItDcaLwIQOuuCcJsXamjDSqCsXlThatk6qCCD++krO4d38MgDkjC2vnkYoTRRZzentsDxibaPjOH8JzZL3iREI0vF1F+9hzeT8Ag5r1JTc5W3Gi8CIDrrhnfXMz6Jlt7CG/dvd58k+VKk4kRMMxqgkzwe8Dsw3H0BlSTVDA1nM8pro39Lm2vY+/slhxIiEaToW7kgWFRr8/2ZHEE5ljFScKP/KsLe6ZpmlMfaQDsVFWAN5adoRal1QVRHhw71mKv+Q0APY+T2KqW7pKBJZmttZVFUzgceJcPwtd96uOJcR903Wd9ws+pNpTA8BzOZNwSDWhwcmAK+olPsbG1EeMd3qWVDhZtPaY4kRC3D9f8Wncuz8BwNwkG2vn4YoTRTZzWlts3YwrW74L+Xjy16kNJEQD2FW0l31XDgIwuPkAOiRnKk4UnmTAFfXWOyedXjnpAKzbe4FDJ6WqIEKX7qurJug+qHujk6bJU6Rqth6PY6rbFtm1bQH+iiuKEwlRf+WuShYWGv3+FEcy49rLroiNRZ69xX15bmQ2cdFGVWH28nypKoiQ5d7zKf7SswDY+z6FKT5dcSIBX60qmMHrkqqCCFlGNeEDqr1GNWFq7iQcFrviVOFLBlxxX+KjbUwdaVQVSitcLFhzVHEiIe6dr/gU7j2fAmBumoO14zDFicRXmVPbYOturA/qu3gEz6E1ihMJce92FO1hf/EhAIa2GEhWUnvFicJbUA64BQUFvPzyy/Tq1Yvu3bszZcoUduzY8Y238fv9LFy4kAkTJtCzZ0/69OnD5MmT+fjjjwOUOnL1ykmnb8cMADbsu8iBE7Iwuwgdus+Dc+1M0P1gseMYMkOqCUHI1v0xTCktAXDlLcRfXqQ4kRB376qr/Ho1IS0qhcelmtDogu5Z/OzZs0yZMoXS0lL++Mc/8vrrrxMTE8O0adPYv3//bW/3pz/9iV/+8pf06NGD//3f/+V//ud/aNu2Lf/0T//Em2++GcDvIDJNGZFNfIwNgLeXH6HG6VGcSIi74971Mf6ycwDY+03GFJ+mOJG4Fc1swTH0W3VVBbdUFUTI0HWd944sodZbi4bGc7lPYTfbVMcKe0E34L7++uv4fD7efPNNhg0bRv/+/XnttddIS0vj1Vdfve3tFi1aRPfu3fnFL35Bv379GDBgAP/5n/9Jy5YtWbJkSQC/g8gUG2XlhbpVFcoqXbz/hayqIIKf7/IJ3PuWAmBu3glr7kOKE4lvYk5pha3n4wD4LhXiObhKcSIh7mz7pV0cLDkCwEMtB5GZ2FZxosgQVAOurut88cUXDBgwgOTk5Osft9lsDB8+nLy8PMrLy295W7vdjt3+9bK2pmlERUURFRXVqLmFoXt2Gv07GVWFTQcusu+YLMwugpfudeNcPxN0HawOHIOnoWma6ljiDmzdxmJKbQ2AK28J/quXFCcS4vbKnFdZfNRYejA9OpXH2j2iOFHkCKoB99KlS5SXl5OZefOacFlZWfh8Po4evfWbmKZNm0ZeXh4LFy6kqqqKyspK5s6dy9GjR3nxxRcbObm45pnh2STE1lUVPj9CtVQVRJBy7/oIf9kFAOz9nsYUl6o4kbgbmslirKpgMoPPTe36meh+qSqI4KPrOu8eWUKt14mGxtTcydikmhAwFtUBvurKFWN9w69evb3m2seKi299VfCll14iKiqK3/zmN/zyl78EICoqij/+8Y88/vjjd3V8k0nDZArMFRyz2fS1f4eLxDg708fm8n8X7KO8ys37Xxzl2+M63/Xtw/W8NAQ5N7dWn/PivXQM9/7lAFhadiaq80NhefU2XB8zlvTW+Hs/gXP7YvxFx/AdXoWj292/aSdcz0tDkHNza/U5L5vObedwaQEAI9oMITsl/KoJwfx4CaoB1+12A2C1Wm/63LWPuVyuW9523bp1/OEPf+DRRx9l3LhxeL1elixZwi9+8QtSU1MZMGDAHY+fnBwT8B9y8fHhV58Y1ieGfcdLWbPzLJsPXOKhXq3o27npPd1HOJ6XhiLn5tbu9rz4PS7O11UTNHs0zcb/AEt8bCOnUyscHzOJw57iwpk9uC4ex7l9MSld+mFLbXFP9xGO56WhyLm5tbs9L8XVpSwuNJYebB7XhOd7TcBmvnm2CRfB+HgJqgHXZjMu3Xs8N7+sfW34dThu3q/Z7Xbzi1/8gu7du/Nf//Vf1z8+aNAgJk6cyL//+7+zcuXKOx6/tLQ6oFdw4+OjqKioxecLv5fXJg1tx56Cy5RVuvjror00TXIQF33nl2bC/bzcDzk3t3av56Vmy3t4SoxqQtSAZ6n0RUFZdWPHVCLcHzP2IS/hWvhLdJ+Hix/9hbgnfolmuvOVpHA/L/dDzs2t3ct50XWdv+5+5yvVhElUV7ipxh2gtIGj6vGSlBRzx68JqgE3I8N4g1Jp6c1bvpaUGGurpqffvLvQiRMnuHLlCi+88MLXPq5pGn369GH27NkUFxeTmvrNHTu/X8fv1+sbv158Pj9eb/g9idgtZl4YlcP/LDKqCnM/L+Dlxzvd9e3D9bw0BDk3t3Y358V36SiuvZ8DYG7ZFVPmwIg4l2H7mIlviq3XE7jzFuErOk7N7mXYu42565uH7XlpAHJubu1uzsum89vILykEYETrobSMbRn25zIYHy9BVZrIyMggJSWFgoKCmz6Xn5+P1WolKyvrps9du7r7TVd+vV7ZQjbQurZP4cGuRjVh2+EidhVcVpxIRDLd66J2/UxAB1uUrJoQJmxdR2FKbweAe+cH+MrOK04kIllJbSkfHPsMgKYxGYxpO0JxosgVVAMuwMiRI9myZcv1N5wB1NTUsHr1agYNGkRs7M1dufbt22O329m6devXPq7rOjt27CA1NfX61WERWJOHZZEUZyzfNndFAZU14fcSjQgNrrwl6HW7XzkGPIcpJklxItEQNJPZWFXBbAG/F+e6meh+n+pYIgL5dT/zjizG5XNj0kxMzX0KqymoXiiPKEE34L7yyivExMTw7W9/m7Vr17J582ZeeeUVampq+PGPfwxAXl4eHTt2ZMGCBQDExMTwrW99i7y8PP75n/+ZjRs3smHDBv7xH/+RwsJCfvjDH8qVGkWiHRamjckBoKLGw/xVhYoTiUjkvVhwfVMAc6tuWLLu/KZTETrMic2w954IgP/KSdz7lilOJCLRpvPbKSwzNjka2WooreNbKk4U2YJuwM3IyGD+/Pmkp6fz05/+lO9///tomsacOXPIzs4GjCuzPp8P/1fWPvzBD37A7373OwoLC/nud7/LD37wA86fP8///b//l8mTJ6v6dgTQuW0KQ7o1AyAv/zI7jkhVQQSO7nHhXD8L0MEeg2Pwi/ILbxiydn4EU4axhrp710f4Ss8qTiQiSXFtCR8eN3ZFbBbThFFthytOJILy2nm7du144403bvv5vn373rKnO2nSJCZNmtSY0UQ9PfVQJgdPlFJS4WTuigI6tEwkPkYWvBaNz5W3CL3C+KXKMWAKpuhEtYFEo9BMJqKGvET1kl+Cz4Nz3Uyix/8STV4iFo3Mr/uZl78I97VqQkepJgSDoLuCK8JTlP3LqkJVrYe5KwvQ9cCuWCEij/dCPp5DqwGwtOmBJbO/4kSiMZkSm2Dv8yQA/uLTuPcuVZxIRIIN57Zy9OoJAB5pPYxWcfe2HrNoHDLgioDp2CaZh7o3B2BXwRXy8qWqIBqP7nHWVRNAs8diH/SCVBMigLXzCMxNjDqbe9cn+ErOKE4kwtnlmmI+Om50vpvHNmVUm2GKE4lrZMAVATXpofakJhibdcxbWUB51a13phPifrm2L0SvNLb2tg+aiik6QXEiEQiaZsIxZAZYbKD7jFUVfLJMpGh4RjVhIR6/B5Nm4vncyVikmhA0ZMAVAeWwWZg+JheAaqeXOSukqiAanvf8YTyH1wBgadsLS7s+ihOJQDIlZGDvY7wfw19yBveeTxUnEuFo3bnNHC8/BcCYNsNpEddMbSDxNTLgioDLaZ3Ewz2NjtKeo8VsO1ykOJEIJ7q79stqgiMO+6DnpZoQgaydHsbctAMA7j2f4Ss+pTaQCCtFNVf45PhyAFrGNWdk64cUJxI3kgFXKPHkkPakJ0YB8O6qQq5KVUE0ENe2BehVxtbe9kFTMUXFK04kVPiyqmD/SlXh5t0uhbhXft3P3MML8fi9mDUzU3Ofwmwyq44lbiADrlDCbjMzfWwuGnVVhc+lqiDun/fcQTxH1gFgadcHq1QTIpopPh17P2MddH/pOdy7P1GcSISDNWc3crLiNABj2o6geWxTxYnErciAK5TJbpnI8F7GTi97jxWz5eAlxYlEKNNdNTjXvwWAFhWPfdBUxYlEMLDmDsXczOj9u/cuxXflpOJEIpRdqr7MpydWANAqrgUjWg1RnEjcjgy4QqkJQ9qRkVRXVVh9lNIKp+JEIlTVbHkPvboUAPugFzA54hQnEsHAqCpMB6sDdD/OdX+XqoKoF5/fx+wD7+H1e7FoZp7vOFmqCUFMBlyhlN36ZVWh1uXlraX5UlUQ96zm2G7c+esBsGT2w9q2p+JEIpiY4tKw93saAH/ZBZx5HypOJELRpwWrOVVhbAE9tt1ImsZkKE4kvokMuEK5rBaJjOxjVBX2Hy9hdZ4szC7unt9VzZWlfwNAi0rAMeA5xYlEMLLmDMHcvBMAzr1LcZ4vVJxIhJILVZdYePAzANrEt+LhloMVJxJ3IgOuCApPPNiOJsnRAMz85CAl5VJVEHendvO7+KqMaoLjwRfRHLGKE4lgpGlaXVUhCnSdK5++hu51q44lQoDP7+Ptg+8b1QSTRVZNCBEy4IqgYLOamTE2F02DGqeXWUsPS1VB3JH39F7cRzYCYMseiKVNd8WJRDAzxaZg729UFTwl56nN+0BxIhEKVp1Zz+mKcwCMzxxFk5h0xYnE3ZABVwSN9s0TGNO/NQAHT5SyYd8FxYlEMNOdVTg3vg2AOTaJqEFSTRB3Zu0wGEurrgC49i7Hd+mo4kQimJ2vusiyk6sA6JDSjodbSzUhVMiAK4LKE4Pb0TLDePf7+2uOUVxeqziRCFbOLfPRa64CkDbmFUyOGLWBREjQNI2YodMx2aMBndr1M9G9stGMuJnP72Pu4QX4dB9Wk4VX+j6PSZOxKVTIn5QIKjaLmX94ujsmTcPl9jF72RGpKoibeE7txntsKwC2nAeJzpJVE8TdM8UmkzJyOgB6eRGuHVJVEDdbeXotZ6uMVxLHZ42hWZysmhBKZMAVQSe7VRJjBxhVhfzTZazbK1UF8SXdWYWrrpqgxSQRNfBZtYFESIrtMhRr6wcA8BxYifeSrKogvnS28gLLTq0GoH1CW4a1GqQ4kbhXMuCKoDT+wXY0TzNecl645hhXrkpVQRicm+eh11YA4Bg8DZNdqgni3mmaRvTQ6WAzqgrOdbPQPVJVEOD1e5mbvwC/7sdmsvJc7iSpJoQg+RMTQclqMTFjbK5RVfD4mL0sH79UFSKe58QOvMe3AWDNGYylZVfFiUQoM8Uk4RhovDlRryjCtWOx4kQiGHx+ag3nqy4CMK79GNKjUxUnEvUhA64IWm2axDO2blWFI2eusnb3ecWJhEr+2gpcm+YAoMUkY+/3jOJEIhxYMvtjaW0sL+c5uArvhSOKEwmVzlSeY8XpNQBkJbZjcIv+ihOJ+pIBVwS1xwa2oUWasXD/onXHuFxWoziRUMW1eR66sxIAx5AZaLYoxYlEONA0DfuDL0Bd1cW5fha6RzaaiUQev5e5hxca1QSzTaoJIU7+5ERQs5hNvPRoLmaThtvj562lUlWIRJ7jeXhP5AFgzR2KpUUnxYlEODFFJ+IYOBUAvfIKru2LFCcSKnx+cjUXqi8B8ET7saRGpShOJO6HDLgi6LXKiOOxAW0AKDxXzhc7z6kNJALKX1P+ZTUhNgV738mKE4lwZGnfF0sbY7k5z+Ev8J4/rDiRCKTTFWdZeWYdAB2SMhnUvK/aQOK+yYArQsKY/q1plWFUFZasP05RqVQVIoGu67g2zUF3VQFSTRCN51pVQXMYG804189Cd8vqLZHA4/MwJ9+oJtjNNqbkSDUhHMifoAgJFrOJGWM7GlUFr59Zy/Lx+6WqEO68x7fjPbULAGvHh7E076g4kQhnpqh47IPqqgpVJbi2L1CcSATCslOruVRdBMCEzEdJiUpSnEg0BBlwRchomR7L44PaAnDsXDmrdp5VnEg0Jn/NVZyb5wKgxaVh7ztJcSIRCazt+mBp1xsAT/46vOcOKk4kGtPJ8jOsOr0OgJykLAY2k2pCuJABV4SUMf1a0bqJ8RLiBxtOcLGkWnEi0Rh0Xce18R1wGX++jiEz0KwOxalEpLAPnPqVqsJbUlUIU26fh7n5C9HRcZgdPJc7CU3TVMcSDUQGXBFSzCYTL43NxWLW8HjrVlWQqkLY8R7bivf0HgCsnUdgaZajOJGIJEZV4XkA9OpSXNveU5xINIbPTq6gqOYyABOzHiXJkag2kGhQMuCKkNM8LZZxdVWF4xcqWLHjjOJEoiH5q8twbp4HgBafgb33k4oTiUhkbdcbS/t+AHiObMB7dr/iRKIhnSg/xZozGwHomNyB/k17K04kGpoMuCIkjerbirZN4wH4cMNJzhdLVSEc6LqOc+Pb4K4BNBxDZ6BZ7apjiQjlGPgcWpTxPOPcMBvdJc8z4cDtczP3sFFNiLI4eDZnolQTwpAMuCIkmU0mZozNxWI24fX5eWvpYXx+v+pY4j55j27Gd2YfANYuI7E0yVacSEQyzRGL/cEXAdCry3BufV9tINEgPj2xgsu1xQA8mfW4VBPClAy4ImQ1S41hwuB2AJy8WMnn26WqEMr8VaU4t8wHQEtogr33BMWJhABrmx5YMvsD4C3ciPfMXrWBxH05dvUka89uAqBzSi59m/RUnEg0FhlwRUgb2bsl7ZsbLyF+tPEk565UKU4k6sOoJswGdy1oGlFDX0KzSDVBBAfHgClo0YkAODe8LVWFEOXyua+vmhBlieKZnAlSTQhjMuCKkGYyaUwfk4vVYsLn15m1NB+vT6oKocZbsBHf2QMAWLuMwpyRqTiREF/SHLE4rlUVaq7i3PKu2kCiXj45vpzi2hIAnsoeR6I9QXEi0ZhkwBUhr2lKDBPrqgqnL1WyfNtpxYnEvfBXleDcaizDZEpsir3XE4oTCXEzS+tuWLIHAkZX3Htqj+JE4l4cLTvOunObAeia2oneGd0VJxKNTQZcERaG92pJVgvjt/FPNp/iTFGl4kTibui6jnP9W+AxqgmOoS+hWWyqYwlxS47+z35ZVdj4NrpTKlGhwOl1MTd/EQAxlmie7iDVhEggA64ICyaTxvSxudjqqgpvSVUhJHiOrMd3/hAAtgfGYE5vrziRELen2WNwDJ4OgF5bjnPLPMWJxN34+PgySpylgFFNSLDHKU4kAkEGXBE2MpKimTjUGJDOXK5i6VapKgQzf+UVXNuMZZdMSc2x9RyvNpAQd8HSqivWDoMB8B7bhufkLsWJxDcpKD3GhvNbAeiW1pmeGd3UBhIBIwOuCCsP92xBdstEAD7bcorTl6SqEIx03V9XTXCCZjKqCWar6lhC3BV7/6fRYpIBcG16B79TnmeCkdPrZN4Ro5oQa42RakKEkQFXhBWTZlQV7FZz3aoKh6WqEIQ8+evwXcgHwNZtLOa0tooTCXH3NFs0jiHXqgoVuDbNVZxI3MqHx5ZS6iwDYHKHJ4izxSpOJAJJBlwRdtITo5j0kFFVOHelmk82n1IbSHyNv+Iyrm0LADAlt8DW43HFiYS4d5YWnbHmDAXAeyIPz4k8tYHE1+SXFLLpwnYAeqR3pUd6V8WJRKDJgCvC0tDuzclplQjAsq2nOXmxQm0gAVyrJswCrws0s1QTREiz95uMFpsCgGvTXPy18jwTDGq9tcw/shgwqglPZY9XG0goIQOuCEsmzdgAwm4z49eNVRU8XqkqqOY5tAbfxQIAbN0fxZzaRm0gIe6DZovCMWQGALqzEtemOei6rjiV+ODoUspcVwF4usMEqSZEKBlwRdhKTYxi8kPGjljni6v5ZPNJxYkim7+8CFfeQgBMKS2xdX9McSIh7p+leUesHYcB4D25E69UFZQ6VFLAlovGn0GvjG50T++iOJFQRQZcEdaGdGtGxzZJACzbdpoTF+QlRBW+rCa466oJ30IzW1THEqJB2Ps+hRaXCoBz0xz8NVfVBopQNZ5a3q2rJsTZYpmUPU5xIqGSDLgirGmaxrTRuThsZnQdZi09jMfrUx0r4ngOrsJ3qRAAW8/HMae0UpxIiIajWR3Xqwq4qnFtfEeqCgosOfopV13lADzTYSKx1hjFiYRKMuCKsJeS4ODph7MAuFhSw0cbpaoQSP6rl3DlGVdVTKmtsXUbqziREA3P0iwXa6fhAHhP78F7bKviRJHlYHE+2y7tBKB3Rg8eSOukOJFQTQZcEREe7NqUzm2Nhdk/zzvDsfPlihNFBt3vp3b9TPB5wFS3aoJJqgkiPNn7TEKLTwfAuWW+VBUCpMZTc72akGCLY1K2LD0oZMAVEULTNF4cnUOU3VJXVcjH7ZGqQmPzHFyBv+gYALae4zEnt1ScSIjGo1ntdVUFDVzVODe8LVWFAFh09BPK3cZucs/kTCTGGq04kQgGMuCKiJEc7+CZuqpCUWkNH2w4oThRePNdvYBrxxIATGltsT0wRnEiIRqfpWkHrJ1HAOA7sxfv0S2KE4W3fVcOkXdpNwD9mvSiS2pHxYlEsJABV0SUgV2a0LW9sTD7qh1nKTx7VW2gMKX7/TjXzQSfF0yWumqCWXUsIQLC3mciWkIGAM4t8/BXlylOFJ6qPNW8V2D8Ep1oT2Biliw9KL4kA66IKJqm8cKoHKLtFnTgrWX5uKSq0ODc+z/Hf9m4Qm7rNQFzUnPFiYQIHM1iJ2rIS4AG7lqcG2ZLVaERLCr8mEp3FQDP5kwk2hqlOJEIJjLgioiTFGfn2RFGVeFyWS1L1h9XnCi8+MrO4975AQCm9HbYuo5SnEiIwDM3ycLa9REAfGf34y3cpDhReNl7+QA7i/YCMKBpbzql5KgNJIKODLgiIvXv1IRumcbC7Kt3nqPgjLyE2BB0v8+oJvi9YL5WTZCnGRGZ7L0mYEpoAoBzy7v4q0oUJwoPle4q3iswfolOsicyIetRxYlEMJKfPCIiaZrG86M6EOMwlqx6a1k+LrdUFe6Xe98y/FeMdYbtvSdiTmymOJEQ6mgWG46hL4GmgUeqCg1lYeFHVHmqAZiS8yRRFqkmiJvJgCsiVmKsnSkjsgG4ctXJ4nVSVbgfvtKzuHd9BIApIxNr50fUBhIiCJgzMrF1HQ2A79xBPEfWK04U2nZf3s/uy/sBGNisL7kp2YoTiWAlA66IaH07ZtAjOw2AL3afI/+0VBXqQ/d766oJPjBbiRoi1QQhrrH1HI8pyXg1w7XtffyVxYoThaZKdxULCj4EINmRxIRM2RVR3J78BBIRTdM0pj7SgdgoKwCzl+VT6/IqThV63HuX4i8+DYC9z5OYEpsoTiRE8NAsNhxDXgLNBB4nzg1vSVXhHum6zvsFH36tmuCwOBSnEsFMBlwR8RJibDw30niZq7jcySKpKtwTX/Fp3Ls+AcDcJPv6IvdCiC+Z09td3+zEd/4wnvy1ihOFll2X97H3ygEABjfvT05yluJEItjJgCsE0Cc3g14djKrCuj3nOXSqVHGi0KD7vDjXzwTdBxYbjiEz0DR5WhHiVmw9x2FKagGAa9sC/BVXFCcKDeWuShYWfARAiiOZce1lV0RxZ/KTSIg6zz3Sgbhoo6rwtlQV7op7z6f4S84CYO8zCVPd7k1CiJtpZmvdqgom8Lrqqgp+1bGCmlFN+IBqbw0Az+VOwmGxK04lQoEMuELUiY+2MXVkBwBKKlwsWHNMcaLg5is+hXvPZwCYm3bA2ulhxYmECH7mtDbYuhvrtvou5OM5vEZxouC2o2gP+4sPATCkxUCyk9orTiRChQy4QnxFr5x0+uSmA7Bh3wUOnpCF2W9F93mMVRN0H1jsUk0Q4h7Yuj+OKbklAK7tC/FXXFacKDhddZWzqPBjAFKjUhjXfrTiRCKUyE8kIW4wZUQ28XVVhdnLj1DjlKrCjdy7P8Ffeg4Ae7/JmOLTFScSInRodbv8oZnB68a5bqZUFW6g6zrvHfmAGm8tGhpTc5/CbrapjiVCiAy4QtwgLtrG1EeMfc3LKl28v+ao4kTBxXflJO69SwEwN++INXeo2kBChCBzamtsPR4HwHepEM/B1YoTBZe8S7s5WJIPwNCWA8lMbKs4kQg1MuAKcQs9O6TRr5PxhqlN+y+y/7gszA7Xqgl/B90PVgeOwdOlmiBEPdm6j8WU0hoAV95i/OWXFCcKDldd5Sw6alQT0qNSebzdKMWJRCiSn0xC3Mazw7NJiDFeEnt7+RGqnR7FidRz7/oIf9kFAOz9nsYUl6o4kRChSzPVVRVMZvC5ca6bhe6P7KqCruvMP7KYWq/TqCZ0fAqbVBNEPciAK8RtxEZZeWGUUVW4WuXmvdWRXVXwXT6Oe98yAMzNO2HNGaI4kRChz5zSEluPcQD4io7iObhScSK1tl7cyeGSAgCGtXyQdglt1AYSIUsGXCG+QbesVAZ0Nrad3XLwEnuPRmZVQa97Iwy6DtYoHEOmo2ma6lhChAVbt7GYUtsA4NqxBP/Vi2oDKVLmvMqSo58CkBGdxqPtHlGcSIQyGXCFuINnhmeRGGu8RPbO50eoqo28qoJr54fXf+ja+z+NKTZFcSIhwodmMuMY+i0wWcDnoXbdzIirKlyrJjh9zuurJtjMVtWxRAgLygG3oKCAl19+mV69etG9e3emTJnCjh077ni72tpa/vCHPzB48GC6du3Ko48+yqJFiwKQWISzGIeVF0cbVYXyajfvri5UnCiwfJeO4tn/OQDmll2wdhisOJEQ4cec3Bxbr/EA+C8fx3Pgc7WBAmzLhTzyS43n1uGthtA2obXiRCLUBd2Ae/bsWaZMmUJpaSl//OMfef3114mJiWHatGns37//trfz+/185zvf4eOPP+Yf//EfmTlzJl26dOEXv/gFixcvDuB3IMJR1/apDOraFIBth4rYVRAZe8jrXhe162cCOtiicDw4TaoJQjQSW9fRmNLaAeDa+QG+svOKEwVGSW0ZS44Z1YQmMRmMbTtCcSIRDoJuwH399dfx+Xy8+eabDBs2jP79+/Paa6+RlpbGq6++etvbLV26lG3btvHaa6/xxBNP0KdPH37/+9/Tt2/fbxyMhbhbTw/LIinO2AN97oojVNa4FSdqfK4dH6CXFwHgGDAFU2yy4kRChC+jqvASmC3g8xobQPh9qmM1KqOasAiXz41JM/F87lNYpZogGkBQDbi6rvPFF18wYMAAkpO//EFqs9kYPnw4eXl5lJeX3/K2H3/8MV27dqVHjx7XP6ZpGnPmzOE3v/lNo2cX4S/aYWFaXVWhosbD/FXhXVXwXizAc8B4R7e51QNYsgYqTiRE+DMnNcPeayIA/isnce9brjhR49p0YRsFZccAGNFqKK3jWypOJMKFRXWAr7p06RLl5eVkZmbe9LmsrCx8Ph9Hjx6lV69eN31+3759TJw48b6ObzJpmEyBefnVbDZ97d/CEOznpVt2GkO7N2fdnvPk5V+mT8cr9MnNCMixA3ludI+L6g1vATqaPZrYh6Zjspob/bj1EeyPGZXk3NxasJ8Xc/fReE/twld0DPeuj3C064E5pUVgjh3Ac1NcU8KHx4xdEZvFNuGxrJFYTEH6ZxLkjxlVgvm8BNWAe+WK0Wv86tXba659rLj45mWaKioqqKioID09nTfeeINFixZRVFREeno6EydO5Dvf+Q5m851/OCcnxwS8XxgfHxXQ44WKYD4vrzz5AIdOlXKlrJY5nxfQt0tzEuuqC4EQiHNTvPJ9/HXVhNRHXiKuRWB+uN6PYH7MqCbn5taC+bzEPvFDzs/8qbFE3/pZNH/x92jmwP3Ibuxz49f9/GXvkuvVhB/2n0Z6ckKjHrMhBPNjRqVgPC9BNeC63Uan0Wq9uX9z7WMul+umz9XU1AAwb948cnNz+fWvf43ZbOazzz7jL3/5C8XFxfzqV7+64/FLS6sDegU3Pj6KiopafL7IWg7mm4TKeZk2Ooc/vruHimo3f1mwmx9M7NroxwzUufGcP0LVDmNDB2vbHnia96SsrLrRjne/QuUxo4Kcm1sLifNiSsTR90lqN7+L+9JxLq5ZSFSvcY1+2ECdm7VnNnHoslHzGt12GElaijzPhCBV5yUpKeaOXxNUA67NZqw16vHcvM7oteHX4XDc9DmLxfg2EhMT+etf/4qp7iWO/v37U1RUxIIFC/jBD35wyyvDX+X36/j9+n19D/fK5/Pj9cpflhsF+3nJaZV0vaqwI/8yWw5cDFhVoTHPje5xUr3m78b/2GOwDXwen08HAvv3oj6C/TGjkpybWwv282LOHY75+E58lwpx7vwIU8tumFMC01FtzHNzpaaEDwqNakLz2KaMbDUsqP8cvirYHzOqBON5CarSREaGMSCUlpbe9LmSkhIA0tPTb/pcQkICFouFHj16XB9urxk0aND17q4QDWnS0PakJhi/cM1bWUh5deivquDavgi90qgKOQZOxRSdqDaQEBFMM5lwDJkBZhv4fTjX/R3d71Ud6774dT9z8xfi9nswaSam5k7GYgqqa20iTATdgJuSkkJBQcFNn8vPz8dqtZKVlXXT56xWK5mZmbfs5/p8vutfI0RDirJbmDYmF4CqWg9zVxSg68F/pfN2vOcP4zn8BQCWNj2xtO+rOJEQwpSQgb3vJAD8JWdw7/lMcaL7s/7cFo6XnwRgdJuHaRnXTHEiEa6CasAFGDlyJFu2bLn+hjMwOrarV69m0KBBxMbG3vJ2Y8aMYf369dev9F6zbt06HA4HHTp0aNTcIjLltk7i4R7GG7B2F15h++EixYnqR3fX4lw/CwDNEYf9wRdkQwchgoS108OYmxo/w9y7P8VXfFpxovopqrnCx8eNZc9axjbjkdbDFCcS4SzoBtxXXnmFmJgYvv3tb7N27Vo2b97MK6+8Qk1NDT/+8Y8ByMvLo2PHjixYsOD67aZOnUqTJk2YOnUqy5YtY/PmzfzsZz8jLy+Pl19+mZiYOxeShaiPJ4e2Jy3RqCrMX1XI1aqb3wgZ7FzbF6BXGb8c2gdNxRQVrziREOIaTaurKljsoNdVFXyhVVXw637m5S/E4/dg1sxM7TgZsyk4lx4U4SHoBtyMjAzmz59Peno6P/3pT/n+979/fcOG7OxswNgQwufz4fd/WWiOjo5m7ty5dO3alV//+td8+9vf5vDhw/zqV7/ie9/7nqpvR0QAu83M9LqqQrXTy5zPQ6uq4D13EE/+OgAs7fpgbddHbSAhxE1M8enY+z4FgL/0HO7dHytOdG/Wnt3EiXLjyvOYtsNpHttUcSIR7oKy2d2uXTveeOON236+b9++t+zppqam8l//9V+NGU2IW+rQKonhvVqweuc59h4rZuuhSwzoHPxP4EY14S2grpow8DnFiYQQt2Pt+BDekzvxXcjHvXcpljY9Mae1UR3rji5VX+bTE58D0CquOSNaDVUbSESEoLuCK0SomjikPelJxmLX7646Slll8FcVXNveQ682Vi2xD3peqglCBDGjqjAdrA7Q/XVVhZuX1Qwm11ZN8Pi9WDQzU3OlmiACQwZcIRqI3WpmxthcNKDG5eWdz48EdVXBe3Y/niMbALC074e1XW/FiYQQd2KKS8PedzIA/rLzuHcFd1XhizMbOFVxBoCxbUfSLLaJ4kQiUsiAK0QDymqRyIjexkLs+4+XsPnAJcWJbk13VePcMBsALSoeh1QThAgZ1tyhmJt3AsC9bym+yycUJ7q1i9VFfHZyJQCt41vycKvBihOJSCIDrhANbMLgdmQkRwPw3heFlFY4FSe6mXPr++jVZQDYH3wRzXHr5feEEMFH07SvVBV0nOtmonuDa6MZn9/H3MML8fq9WEwWns99SqoJIqBkwBWigdmsZl4am4umQa3Lx9vLg6uq4D2zF2/hRgAsmf2xtumhOJEQ4l6ZYlOw938GAP/VC7h3faQ20A1Wn1nP6cqzADzW7hGaxARmK3MhrpEBV4hG0L55AqP6tALg4MlSNu6/qDiRwagmvA2AFp2IY8AUtYGEEPVm7TAYc4vOALj3L8dXdExxIsP5qossPbkKgLbxrRnW8kHFiUQkkgFXiEYy/sG2NE0xqgrvf3GUknL1VQXnlvnoNVcBcEg1QYiQpmkajsHTwRYFuk5tEFQVfH4fc/MX4tN9WE0WpnZ8CpMmo0YoGz9+NH/721+ZPfvvPProCEaMeJDf/OaXuFwuZs16k4EDBzJs2IP8/Oc/o6qqinffncNDD/Xn1KmT1+/jzJnTDBs2gLffnhmw3EG5Dq4Q4cBqMTNjbEf+Y+5OnG4fs5fn85PJ3ZRtges9tQfv0S0AWLIHYmndTUkOIUTDMcUm4+j/LM71s9DLL+HasQRHXXVBhZWn13G28jwAj7cbRUZ0mrIswaLG6eViabXqGDRNjiHace9jn8ViYcOGtQwZMoy//W0WW7du4i9/eZVLly7SpUsX5s2bx/btu/jVr35OVlYHnn9+Ops2beBPf/o9r732Jpqm8ec//xeZmdlMnTqtEb6z2+QO2JGEiEDtmsUzpl9rlm49zeFTZazfe4Gh3ZsHPIfurMK58W2grprQ/9mAZxBCNA5L9iDMJ3bgO7sfz4GVWNr2wtIkK+A5zlVeYPmp1QC0T2jD0JaDAp4h2NQ4vfzT37ZQ41K/tXK03cIfXxlQryEX4Dvf+T4ALVo8w9///galpaV8//v/QHJyLImJ6cyePYuCgiOYTCZ+/vN/58UXn+Gzzz7GarVy8OB+Zs+ej9kcuDcayusGQjSyxwe2pXlqDAAL1hzjytXagGdwbpmHXlsOgGPwdDR7TMAzCCEah1FVmAa2aODaqgqB3WjG6/d+pZpg5blcqSaEk8zM7Ov/rWka8fHxZGVlf+0VycTERKqqKgFo3rwF3/3uj/jb3/7Ka6/9D9/5zg9o1apNQDPLFVwhGpnVYmLGo7n87p1duDw+Zi/L56fPdMcUoKqC5+ROvMe2GVk6DMbSqmtAjiuECBxTTBKOAVOM3c0qinDlLQ7om0hXnFrDuaoLAIxrP5r06NSAHTuYRTuMq6ahXFEAcDgcX/t/TdNu+hjwtRWDRo0ay9/+9ld8Pi+jRo2t13Hvx30PuE6nk6KiIjIyMm75zQohoE2TeMb0b81nW05x5MxV1u05z7AeLRr9uH5nJa5NcwDQYpKx93+60Y8phFDDkjUAy8mdeE/vwXNwlVFVaNqh0Y97tvI8n59eA0BmYluGtBjQ6McMJdEOC+2bJaiOEXBvvPFXkpOTsVgs/PWvr/Jv//argB6/3q8fFBYWMmPGDHr16sWoUaM4cODA9c/94he/ID8/v0ECChEuHh/YhhZpxqoFC9ce43IAqgquTXPRaysAcAyZjmaLbvRjCiHU0DQN+4MvQF0FybluJrqncasKXr+XOYcX4Nf92Mw2pko1QQC7d+/kww8X80//9HP+6Z9+zvLln7Fp0/qAZqjXo/DUqVM8/fTTbN68mRYtvn4VqrS0lE8++YQXXniBEyeCc/tAIVSwmE3MGJuL2aTh9vh5a2k+/kbcAMJzIg/viTwArDlDsdStlymECF+m6MTrW2/rlVdw5S1s1OMtP/UFF6qNLcmfaD+G1KiURj2eCH41NdX8/ve/ZuzYcfTo0YuuXbsxbtxE/vjH33P16tWA5ajXgPvGG29gNpt5//33Wbhw4dc6F8nJyXz44Ydomsbf//73BgsqRDho3SSORwe0AaDw7FW+2HWuUY7jr63AtWkuAFpsCvZ+kxvlOEKI4GNp3w9Lm54AeA59gfdC47yierriLCtPrwUgOymTQc37NcpxRGj561//B4/Hw/e+96PrH3vlle9jNpv57//+fcBy1KuDu23bNp5++mm6detGZWXlTZ9v3749Tz/9NJ9++ul9BxQi3Izt35o9hVc4c7mKJeuO07VdChnJDVcd0HUd16Y56E7j76ZjyAw0W1SD3b8QIrhpmoZ90PP4Lhagu6pwrp9FzJO/Q7M23PtkPHWrJvh1P3azjedynpRqQphavPjmWe5WH3vttTdvex8xMbF8+OGyBs11J/V6NBYXF5OZmfmNX5OZmUlxcXG9QgkRzixmE9OvVRW8fmYty8fvb7iqgvdEHt6TOwGwdhyGpXnHBrtvIURoMEUnYB80FQC9shjX9oatKiw7uYqL1UUAPJH5KClRyQ16/0Lcr3oNuDExMZSXl3/j11y8eJHoaHlDixC30iojjscHtgHg2LlyVu882yD366+5ivPaqglxqdj7PtUg9yuECD2Wdn2wtO0FgOfwGrznDjXI/Z6qOMOq0+sAyEnKYlCzvg1yv0I0pHoNuF26dOHDDz/8Wvf2q86cOcM777xD166y3qYQtzO6X2taN4kDYMmGE1wsub91EnVdx7XxHXAZ9+MYMqNBX5IUQoSWa1UFzWE8zzg3vIXuvr/VWzw+D3MOL0RHx2G2MyX3SWXbjwvxTeo14M6YMYMjR44wefJk3nvvPQC2b9/O/Pnz+clPfsLYsWMpKytj+vTpDRpWiHBybVUFi1nD4/Xz1n1WFbzHtuI9vQcAa6fhWJrlNlRUIUSIMkXFYx/0PAB6VQmube/f1/19dnIlRTWXAZiQ9SjJjqT7zihEY6jXgNu/f39+97vfcfToUV599VUA/vd//5ff/e53LF26FIvFwu9+9zv69ZN3VArxTVqkxTJuUFsAjp+vYOWO+lUV/DVXcW6ZD4AWn469z6QGyyiECG3Wdr2xtDdqBJ4j6/GePXCHW9zaifLTfHFmAwC5ydkMaNqnwTIK0dDqvZPZxIkTefjhh1m9ejWFhYXU1NQQGxtLdnY2Dz/8MAkJkbdrhxD1MapvK3YXXuHkxUo+2HCCru1TaJYac9e313Ud54a366oJWl01wd5oeYUQocc+8Dl8F/LRaytwbphNzKTf3dPGL26fh7n5C9DRibI4mJIj1QQR3O5rq97ExESefPLJhsoiREQym0xMH9uRX8/egdfnZ9bSfP5tag/Mprt7gcV7dAu+M3sBsHYeEZCtOYUQocXkiMM+6AWcq/6KXl2Ka+t7OIbMuOvbf3ricy7XGCsjTcx6nCRHYiMlFaJhNOqidR6PpzHvXoiw0Tw1hicGG1WFkxcr+Hz7mbu6nb+6DOeWeQBoCRnY+0xstIxCiNBmbdsTS2Z/ADwFG/Ge2XdXtzt29SRrz24CoHNKDv2a9Gy0jEI0lHpdwc3Nvbs3r2iaxuHDh+tzCCEiziO9W7G74ArHL1Tw8aaTPJCZSou02Nt+vVFNmA3uWkAjashLaBapJgghbs8xYArV5w+j15bXVRX+A81++0qU2+dmXv7CumpCFM/kTJRqgggJ9bqC27Rp01v+k5qaChg/eDt06EDPnvJbnhB3y2TSmD42F6vFhNenM2tpPl6f/7Zf7y3chO/sfgCsXR/B3CQrUFGFECFKc8TiGPwiAHrNVZxb3/3Gr//k+OdcqS0BYFLW4yTa5f01IjTU6wrumjVrbvs5l8vFggULWLBgwfUVFoQQd6dpSgwTBrdjwZpjnL5UyfLtZ3hsQJubvs5fVYJzi/GDyZTQBHuvCQFOKoQIVZbW3bFkDcR7dDPews142/bC0rr7TV93tOw4a88Z1YQuqR3p06RHoKMKUW8N3sG12+08//zzjBo1ij/96U8NffdChL0RvVqS2cK4SvLJppOcvVz1tc9fryZ4akHTcAx9Cc1iUxFVCBGiHAOeRYtOBMC54W1059efZ5xeF/PyFwEQY4nmmQ5STRChpdHeZNa/f382b97cWHcvRNgymTRmjMnFZjHh8+vMWnr4a1UFd/46fOcOAmDrOhpzRqaqqEKIEKXZY3AMngZg9HHr1tG+5sOjSyl2lgIwKXscCfa4gGcU4n402oDrdDqprr6/rUeFiFQZydFMHNIegDNFVSzbehoAT/llajYbuweakpph6zleVUQhRIiztHoAa4cHAWMnRM+pXQAcLCpg3dktADyQ1pleGd1URRRBYPz40fztb39l9uy/8+ijIxgx4kF+85tf4nK5mDXrTQYOHMiwYQ/y85//jKqqKsaNe4T/+I9/v+l+/vSn3zN+/Gh8Pl9Act/XOri34vV6OXHiBK+99hotWrRo6LsXImI83KsFuwouU3iunE+3nKJnhzQy9vw/8DhBM+EYItUEIcT9sfd/Bu+5Q8bauBvfQc9oy9/2zwUgxhrN0x2ekGrCfdLdNfivXlQdA1Ni03va3OMai8XChg1rGTJkGH/72yy2bt3EX/7yKpcuXaRLly7MmzeP7dt38atf/ZysrA6MGfM4ixe/zz/+4z8RHW0cz+v1sm7dFzz++ATMZnNDf2u3zl2fG93tMmH/8i//Up+7F0IAJs1YVeH/vJWH2+Nn+8cLGeE3tti0PTAGc3o7xQmFEKFOs0XjGDyN2uV/Rq+tYOHW/+UKlQBMzn6CeJtUE+6H7q6h6t2fgrtGdRSwRRP77H/Xa8gF+M53vg9AixbP8Pe/v0FpaSnf//4/kJwcS2JiOrNnz6Kg4Ag/+tFPmD//HdauXc3YsY8DsGPHdioqKnj00XEN9u3cSb0G3KZNm972c1arlfT0dEaNGsWzzz5b72BCCEhPimbS0EyWf7GLwb4toIEpuQW2noF7khBChDdLyy5Yc4Zw+PQWttYNtz0zutIz4wHFyUSwyMzMvv7fmqYRHx9PVlb2167uJyYmUlVVSZMmTenbtz/Ll392fcD94ouV9OjRi+bNA/fKfoMvEyaEaFhDuzel+d487D4vPl2j8oEpxJitqmMJIcKIv9d4lriMjZlifDqT24xQnCg8aHVXTUO5ogDgcDi+9v+apt30MTBW+QEYN24i//qvP+H8+XOkpaWzceM6fvrTf63XseurwTu4QoiG5ctfS3PfeQBWObtwYEMFv2zrx2pp1J22hRAR5KMzX3DVbFyNG3+5AvO2JfDwdxWnCg+aLRpzenvVMQKqf/+BpKWls2rV57Rt2x6LxcKQIcMCmuGuBtyPPvqo3gcYP358vW8rRKTzV1zGtX0hALXRTVhZ2gVfbTWfbD55fZUFIYS4H4dLCth8IQ+A7qYEulRfxnM8D3ObXljb91GcToQis9nMY4+NZ82aVbRqdZSRI8dgswX2TdF3NeD+y7/8yz2/i1LXdTRNkwFXiHrSdT/OdTPB6wbNTNrY79JlTTl7j15h2bbT9MhOo23TeNUxhRAhrMZTy/wjiwGIs8Uypfd3oeg/8ZZfxrVpDuamHTBFy/a84t499th43n57JqdPn2L27Pl3vkEDu6sB93vf+54sEyJEgHkOrsZ3qRAAW4/Hsaa14QdPaXzvT2twun3M/Oww/z6tN1ZLYJZcEUKEnyXHPuWqqxyAZzpMIC4mBcej3+Xi/H9Hd1Xh2jQHx4jvywwg7llqahpdu3bD7XbTrl3gNyS6qwH3Bz/4wT3fcU1NDbW1tfd8OyEE+Msv4cozrqqYUlpj6z4WgPTkaJ4Zns3sZflcLKnho00nmTRUdjITQty7g8X5bLu4E4DeGd15IK0zAFFtumDvMhzXgdV4T+3Ce3wb1sz+KqMKhRYv/vSuPvbaa29+7f+Li69w6NBB/u3f/k+jZfsmjfYulZUrVzJx4sTGunshwpbu9+NcNwt8bjCZcTz0Eprpy99Fh3ZvRqe2yQB8vv0Mx8+Xq4oqhAhRNZ4a3j2yBIB4WxyTsr++9GBUv8locWkAODfPw19zNdARRYgqL79KQcER/vVff0r79u0ZNkzNihz1XkXB6XSyatUqzp8/j9fr/drnXC4XK1asoLxcfvAKca88B1fiKzoKgK3HOMzJLb/2eU3TmDY6h1/O2k6ty8espfn8+7Te2KxSVRBC3J3FRz+l3F0BwLM5E4mxfn35KM1qxzH0JWo//U9wVePc8DZRj/xIqgrijmbO/H8sXfox3br14N/+7VeYTGpW/KnXgFtUVMSUKVM4f/789TeTATf999ixYxsuqRARwHf1Aq4dxlUVU2obbN1u/XcoOd7B0w9nMXvZES6V1vDhxhNMHpYVyKhCiBB1oPgw2y/tAqBvk550Se14y6+zNO2AtfMIPAdX4TuzF+/RLVizBwYyqghBP/nJP/OTn/yz6hj1qyj8z//8DxcvXmTChAn8+Mc/Rtd1nnvuOX7yk58wYMAA4uPjee211/jzn//c0HmFCFtfVhM8YLLgGPotNNPtr8oO6tKUru1TAFiZd5Zj5+QVEyHEN6v+SjUhwRbPk1mPf+PX2/s8iRafAYBzy3z81WWNnlGIhlCvAXfLli0888wz/Md//AfPPPMMACNHjuRb3/oWs2bN4le/+hW//e1vKSoqatCwQoQzz4HP8V8+DoCt13jMyc2/8es1TeOFUTlE2S3owKylh3F5fAFIKoQIVYsKP6bCbWzH+2zORKKtUd/49ZrFqCqABu4anBvfvr5blRDBrF4DbklJCV27dgW4Xknw+/3XPz9mzBgGDBjAn/70pwaIKET485Wdx7XzAwBMae2wdR19V7dLirPz7HCjmlBUVssH6080WkYhRGjbe+UgO4r2ANC/aW86p+be1e0sTbKwdhkJgO/MPryFmxotoxANpV4DbmxsLC6XC+D6zhQ3vqGsb9++bNu27T7jCRH+dL/P2NDB5wWzBcfQl76xmnCjAZ2b0C0zFYDVO89ScEZeQhRCfF2Vu5r3jxi/RCfaE5iY9eg93d7eeyJaQhMAnFvexV9V2uAZhWhI9RpwW7Zsyeeffw4YA25SUhKbNn39N7ri4mJqamruP6EQYc69bzn+KycBsPeaiDmp2T3dXtM0nh/VgRiHUVV4a1k+LrdUFYQQX1pY+BGVnioApuQ8SZTlm6sJN9IsNqKGvgSaBp5anBvekqqCCGr1GnAfffRRNm/ezCuvvAJA//79Wbx4Mb/73e9YuXIls2fP5s0336Rdu3YNGlaIcOMrPYd714cAmDIysXZ5pF73kxhr59kR2QBcuepk8frjDZZRCBHadl/ez67L+wAY2KwPHVM61Ot+zBmZWLuMAsB37iCegg0NllGIhlavZcKef/55jh07RnV1NQA//OEP2bx5M/PmzWP+/Pnouo7FYuEf/uEfGjKrEGFF93uNaoLfB2YrUUNmoN3HeoH9Omaw88hl9hwt5otd5+iZnUZO66QGTCyECDWV7ioWFBi/RCfZE3ki896qCTey93oC35m9+K9exLX1PSwtOmOKTWmIqEI0qHoNuMePH+e3v/3t9Q0e2rRpw2effcaHH37IuXPnyMjIYPTo0XIFV4hv4N67DH/xKQDsvZ/ElNj0vu7PqCrkcPTcdqpqPby1LJ/fzOiDw1bv/VyEECFM13XeL/iQKo9xMeq53ElEWRz3dZ+axYZj6Leo+fi34HHiXP8WUWN+KhtAiKBTr598jz76KF26dOGJJ55g7NixJCQkkJaWxssvv9zQ+YQIS76SM7h3fwyAuUk21s4Ns5VhQoyN50Zm88bHhygud7Jo7XGmPlK/lyOFEKFt9+V97L1yAIAHm/cnJ7lhNoMxp7fD9sBY3Hs/w3f+EJ78ddg6PtQg9y1EQ6nX66G9evXi4MGD/Pa3v+XBBx/kRz/6EevXr//aUmFCiFv7ejXBhuM+qwk36p2TTs8Oxh7ya/ec5/ApebezEJGmwl3JgsKPAEhxJDG+/ZgGvX9bz3GYkoy1ul3bF+CvvNKg9y/E/arXT9V58+axbt06fvKTn9CuXTtWrFjBd77zHQYPHswf/vAHCgsLGzqnEGHDvecz/CVnALD3nYQpIaNB71/TNKaO7EBslBWA2cvyqXV5G/QYQojgda2aUO0xVjJ6LncSDou9QY+hma04hn4LNNP1qoKuy0UuETzqfdkoIyODl156iY8++ohly5bxne98h5iYGGbPns24ceOYMGEC8+bNa8isQoQ8X/Fp3Ls/BcDctAPWTg83ynHiY2zXqwklFS4Wrj3WKMcRQgSfnUV72XflIABDWgwgOymzUY5jTmuDrdtYAHwX8vEcXtsoxxFqjR8/mr/97a/Mnv13Hn10BCNGPMhvfvNLXC4Xs2a9ycCBAxk27EF+/vOfUVVVxe7dOxk0qNct/7l48ULAcjfIu0/atWvHj370I370ox9x6NAhVq5cyZIlS/j973/Pc8891xCHECLk6T4vznV/B90HFrtRTdAarppwo9456ezKTScv/zLr916gZ4c0OreVdzsLEc7KXRUsrKsmpDqSGdfA1YQb2XqMw3t6L/7Ss7i2L8DSsgum+PRGPWaoqfXWcqlafYWjSUzaPa9/DGCxWNiwYS1Dhgzjb3+bxdatm/jLX17l0qWLdOnShXnz5rF9+y5+9aufk5XVgSlTXuDjjz+/fvva2lp+8INvk5ycQlpa4B4bDfr26j179rBixQrWrVtHcXExZvPd78YkRLhz7/4Yf+k5AOx9nwrID4EpI7I5crqMihoPs5cd4bcz+hLtkFUVhAhHuq7zXsESary1ADyX+xR2s61Rj6nV7b5Y8+FvwOvGuX4WUY/+c6P+8h5Kar21/HLLf1Fb92eiUpQlit8O+Jd6DbkA3/nO9wFo0eIZ/v73NygtLeX73/8HkpNjSUxMZ/bsWRQUHMFqtZKSknr9dr///a+pqqriL395A4slcD9/7vsRuH//fv7whz/w0EMP8eyzz/L2229jsVj48Y9/zBdffNEQGYUIeb4rJ3HvXQqAuVku1gC94zgu2sbUR3IAKKt0sWDN0YAcVwgReHmXdnOgOB+Ah1oMIispMEt1mlNbY+turK/ru1iA55D87A83mZnZ1/9b0zTi4+PJysr+2vJwiYmJVFVVfu12a9asZtmyT/nHf/wZLVu2ClheqOcV3MOHD7N8+XKWL1/O+fPn0XWd1NRUnn/+ecaNG0fHjh0bOqcQIUv3eYxVE3Q/WB04hkwP6NWNnh3S6Ncxg22Hi9i4/yI9O6TTtb1UFYQIJ1dd5Sw6+gkAaVEpPN5+VECPb+v+GN7Te/CXnMG1fRGWll0b/A20oejaVdNQrigAOBxfXz9Z07SbPgZ8bfvmoqJL/PGP/8HDD49gzJjH6nXc+1GvAXfChAmA8Q2PGTOGcePGMWjQIEwNuNSREOHCvetj/GXnAbD3nYwpLi3gGZ4dkU3+6TLKq928vTyf377UlxiHNeA5hBANT9d13j2yhFpvLRoaU3MnY2vkasKNvqwq/Bp8bpzrZhL12L826BKIoSrKEkXbhMBevVTN7/fz29/+H2JjY/nZz36uJEO9Hnl9+/blP//zP9m8eTN//vOfGTx4sAy3QtyC7/IJ3PvqqgnNO2HNHaokR2yUledHGasqXK1y8/5qqSoIES62XdzJoZIjADzUchDtE9soyWFOaYWtxzgAfEVH8RxcpSSHUG/u3NkcOLCPX/3qd8TGxirJUK+p9J133uGJJ54gJiamofMIETZ0r7tu1QT9K9UEddtZds9Ko3+nJgBsPniJvceKlWURQjSMMudVFh81lh5Mj07lsXaBrSbcyNZtDKbUNgC4dizGf/Wi0jwi8A4fPshbb73JE088SbNmzSkpKb7+j8fjCVgOuewqRCNx7/ro+pO7vf8zmGLV916fHZFFQqzx0uU7nx+hqjZwTzZCiIal6zrzjyzG6XOiofF87mRsZrXVI81kVBUwWcDnoXb9LHTZ5TSibN26GZ/Px+LFCxg3btTX/jlwYF/Acsh6QUI0Al/RMdz7lwNgbtEZa4fBihMZYhxWXhyVw/+3eD/lVW7eW13Itx7rpDqWEKIetlzMI7/U2Dl0eKshtE1orTiRwZzcAlvP8bh3LMZfdAzPgRXYHhitOpaop8WLP72rj7322pvX/3vGjG83aqa7IVdwhWhgutdN7bqZRjXBFoVjsNpqwo0eyExlUJemAGw9VMTuQvXv7hVC3JuS2jI+OPoZAE2i0xnbdoTiRF9ne2A0prS2ALh2LsFXFrgdrIQAGXCFaHCuHUvQyy8B4Oj/LKbYZMWJbvb0w5kkxRl7089ZUSBVBSFCiLFqwmKcPpexakLHp7AqribcSDOZjaqC2QI+L851M9H9PtWxRASRAVeIBuS9VIjnwEoAzK0ewJI9SHGiW4t2WHlxtLEBREW1m/mrChUnEkLcrU0XtnOkzFgJZUTrobSJD84lqMxJzbH1NJYV9V85cb22JUQgyIArRAPRvS6c62YBOtiicTz4YlBVE27UpV0Kgx8wqgrbDxex88hlxYmEEHdSXFvKB8eMakLTmAzGBFk14Ua2rqMwpbcHwL3zI3yl5xUnEpFCBlwhGogrbzF6RREAjgFTMMUkKU50Z5OHZZEcb1QV5q4soKLGrTiREOJ2/Lqf+fmLcPvcmDQTz+dOxmoK7veKayYTUUNfArMV/F6c6/6O7veqjiUigAy4QjQA74Uj1xc1t7TujiVrgOJEdyfKbmHa6FwAKms8zFspVQUhgtXG89sovHocgJGtH6JVfAvFie6OKbEp9t4TAfAXn8K9d5niRCISyIArxH3SPS6c62cZ/2OPwf7gC0FdTbhRp7bJDO3WDICdRy6Tl1+kOJEQ4kbFtSV8dMzYFbF5bFNGt3lYcaJ7Y+08EnNGFgDu3R/jKzmrOJEId0E54BYUFPDyyy/Tq1cvunfvzpQpU9ixY8c93ceOHTvIyclh6tSpjZRSCIMrbyF6pbHUlmPgc5iiE9UGqodJD2WSEu8AYN7KQsqrpaogRLDw637m5i/E7fdg0kxMzX0KS5BXE26kmUw4hs4Asw38vrpVFaSqIBpP0A24Z8+eZcqUKZSWlvLHP/6R119/nZiYGKZNm8b+/fvv6j7cbje//OUv0XW9kdOKSOe9kI/n0BcAWNr0xNK+n+JE9RNltzB9jLGqQlWth7krCuTvjxBBYv25LRy7ehKAUW0epmVcc8WJ6seU0AR7nycB8Jecxr1nqeJEIpwF3YD7+uuv4/P5ePPNNxk2bBj9+/fntddeIy0tjVdfffWu76OyspLOnTs3cloRyXR37fVqgmaPxT7o+ZCqJtwot00yw3oYPzh3F15hu1QVhFDucs0VPj5uLK/VIrYZo1oPU5zo/lg7D8fcJBsA9+5P8BWfVpxIhKugGnB1XeeLL75gwIABJCd/uTi+zWZj+PDh5OXlUV5e/o33UVhYyMyZM/nZz35GdHR0Y0cWEcy1fSF6ZTEA9kHPY4pOUJzo/j05tD2pCUZVYf7KQsqrXIoTCRG5jGrCIjx+D2bNzPMdJ2M2mVXHui+aZjI2gLDYQK+rKvikqiAaXlANuJcuXaK8vJzMzMybPpeVlYXP5+Po0aO3vb3f7+f//J//Q+/evRk/fnwjJhWRznvuEJ78tQBY2vbC2r6P4kQNw2GzMGOssapCtdPLHKkqCKHMurObOFF+CoDRbYbTPLap2kANxBSfjr3PUwD4S8/i3vOJ4kQiHAVVS/3KFeONOl+9envNtY8VFxff9vbvvfce+fn5fPrpp/U6vsmkYTIF5iVms9n0tX8LQyicF91dS/WGtwDQouKIGfoiJkvj5w3UuenULoWRvVuycsdZ9hwtJu/IZQZ2Cd4frKHwmFFFzs2thcJ5uVR9mU9OfA5Aq/gWjGk/DLMpfJ5nzA8Mx3dqF94L+bj3fIa9fS8saW0a9Zj3IxQeMyoE83kJqgHX7TbeuW213ryn9rWPuVy3fsn00qVL/PnPf+Z73/serVrVb9vC5OSYgHco4+OjAnq8UBHM5+XK0jn4q0oASBvzbWKbBXb4C8S5+dYTXTlwspSLxdXMW1lI/weak5IQvH8mENyPGdXk3NxasJ4Xv9/Pf+9ahMfvxWKy8MP+L5KaGB/QDIE4N3FP/IBzb/4Y3ePEuW4mLab/Ec1y88//YBKsjxnVgvG8BNWAa7PZAPB4PDd97trw63A4bnnbX//617Rs2ZLp06fX+/ilpdUBvYIbHx9FRUUtPp8/IMcMBcF+Xjxn9lO1dzUA1sx+eDK6UlZWHZBjB/rcTB+Ty+/n7KS61sP/fXc3P578QFC+iS7YHzMqybm5tWA/LytOruVoibFqwqPtRhCnJ4bp80wsUf2fpmbD23iunOHiqvlE9ZvUyMesn2B/zKii6rwkJcXc8WuCasDNyMgAoLS09KbPlZQYV8zS09Nv+tyKFStYv34977zzDi6X6/pVXp/PB0B1dTVWq/X6AH07fr+O3x/YvqHP58frlb8sNwrG86K7a6hee62aEI9twBQlGQN1bto3i2dEXVVh37FiNuy9ENRVhWB8zAQLOTe3Fozn5VJ1EZ8cXwFA67iWDGsxOKyfZ0wdhmA+nofv/GGcez7D1Ko75vR2jX7c+grGx0wwCMbzElSliYyMDFJSUigoKLjpc/n5+VitVrKysm763Nq1a/H5fDz33HP06NHj+j+7du1i165d9OjRg//3//5fIL4FEcZcW99DrzZ++bIPegGTI05xosb3xOB2ZCQbq5G8u/oopRVOxYmECF8+v485+Qvx1lUTpnZ8KuRXTbgTTdNwDJ4OVgfoOs71M9G9stGMuH9BdQUXYOTIkXzwwQdcuXKFtLQ0AGpqali9ejWDBg0iNjb2ptt85zvf4cknn7zp47/73e8A+MUvfkGzZs0aN7gIa94z+/AUbATAktkfa9ueihMFht1qZsbYXP5z3i5qXV7e/vwI/zgpOKsKQoS6L85s4HSFsYXto21H0jQmQ3GiwDDFpWLv9zSujW/jL7uAe9dH2Ps+pTqWCHFBdQUX4JVXXiEmJoZvf/vbrF27ls2bN/PKK69QU1PDj3/8YwDy8vLo2LEjCxYsAKBNmzb06tXrpn/i4uKIi4ujV69eMuCKetNd1Tg3zAZAi0rAMWCK4kSBldk8gUf6GG/cPHiilI37LypOJET4uVB1iaUnVwLQNr4VD7carDhRYFlzhmBuYWzO5N6/HF/RMcWJRKgLugE3IyOD+fPnk56ezk9/+lO+//3vo2kac+bMITvb2P1E13V8Ph9+f3D1PUR4cm55F73mKgCOwS+iOW5+FSHcPfFgW5qmGFWFBWuOUlIuVQUhGorP72Nu/gK8ug+rycLU3KcwaUH347lRGVWFaWCNMqoK66SqIO5P0FUUANq1a8cbb7xx28/37dv3lj3dG82dO7chY4kI5D29B+/RzQBYsgZiad1dcSI1rBYz08fm8vu5u6h1+Xh7eT4/ntxNqgpCNIBVZ9ZxpvI8AI+1G0VGzM1vpo4EptgUHP2fwbnhLfzll3Dt/ABHv6dVxxIhKrJ+RRTiHujOKpwb3gZAi07EMeBZtYEUa98sgdF9WwNw6FQZ6/ddUJxIiNB3vuoiy04aSw+2S2jDQy0HKU6klqXDg5hbdgXAs38Fvku3371UiG8iA64Qt+HcMh+9thwAx+BpaPY7r7sX7sYNakvzVOM8LFhzjOKrtYoTCRG6fH4fcw4vwKf7sJqsTM2dFHHVhBtdryrYogCd2vUz0b233uBJiG8S2X+ThLgNz8ldeI9tBcDa4UEsrR5QnCg4WC0mpo/NxaRpuNw+Zi8/gl8P7NrRQoSLz0+v4VyV8UrIuPajSY9OU5woOJhiknAMeA4AvbwIV94SxYlEKJIBV4gb+J2VuDa9A4AWk4y9/zOKEwWXtk3jGdPfWFUh/3QZ6/ecV5xIiNBztvICn5/6AoD2CW0Z0mKA4kTBxZI1AHPdhQXPwVV4L975fTdCfJUMuELcwLV5HnptBVBXTbBFK04UfB4b0JYWaUZVYeHa41yWqoIQd83r9zI3fwF+3Y/NZI3IVRPuRNM0HA++CPYYQMe5fha6R6oK4u7J3yghvsJzYgfe49sBY11GS8suihMFJ6vFxIyxHTGbNFweH7OX5ktVQYi79PmpLzhfZawnPT5zLGnRKYoTBSejqmCsO65XXMaVt0hxIhFKZMAVoo6/tgLXpjkAaLEp2GV5mm/UukkcY/sbqyoUnL3Kml3nFCcSIvidqTjHitNrAchObM+DzfspThTcLJn9sbTpAYDn0Gq8F/IVJxKhQgZcIeq4Ns1Bd1YC4Bg8Hc0WpThR8Ht0QBtaphsbXyxef5yishrFiYQIXh6/l7n5C41qgtnGFFk14Y40TcM+6AU0u/E8Y1QVZKMZcWfyN0sIwHM8D+/JnQBYcx/C0qKT4kShwWI2MWNsLmaThtvj5y2pKghxW8tPruZC9SUAJmSOJTUqWXGi0GCKTsA+sG5VhcpiXNsXKk4kQoEMuCLi+WvKv6wmxKVi7/uU4kShpVVGHI8NbAPA0XPlrN4pVQUhbnS64iwr66oJOUlZDGom1YR7YWnfF0vbXgB4Dq/Be/6w4kQi2MmAKyKarutGNcFVBYBjyAypJtTDmH6taZ0RB8CS9ce5VCpVBSGu8fg8zDm8AB0dh9nOszlPyjbX98ioKjyP5jCeZ5zrZ6G7ZfUWcXsy4IqI5j2+De+pXQBYOz2MpVmu4kSh6atVBY/Xz6ylh/H7paogBMDSk6u4VHMZgAmZj5ISlaQ4UWgyRcVjHzQVAL2qBNe2BYoTiWAmA66IWP6aqzg3zwNAi0vD3keqCfejRXos4wa1BeD4+QpW7jirOJEQ6p0sP83qM+sByE3OZkCzPooThTZruz5Y2hnn0HNkHd5zBxUnEsFKBlwRkXRdx7nhbXBVA+AY+hKa1a42VBgY3a8VbZoYLyF+sOEEF0uqFScSQh23z8Pc/IV11QQHU6Sa0CDsg6aiRcUD4Fz/FrpbKlHiZjLgiojkPboF35m9AFg7j8DStIPaQGHCbDIx49GOWMwaXp+fmZ/l4/P7VccSQonPTqygqOYKAE9mPUaSI1FtoDBhcsRhH/QCAHp1Ka6t7ytOJIKRDLgi4viry3BumQ+AFp+Bvc+TihOFl+apMTzxYDsATl6sYEWeVBVE5Dl+9RRrzm4EoFNKDv2a9lKcKLxY2/bEkmmsROEp2ID3zH7FiUSwkQFXRBSjmjAb3DWAZlQTLFJNaGiP9GlFu2bGS4gfbTzB+WKpKojI4fa5mVdXTYiyOHg2Z6JUExqBY8BzaFEJADg3vIXukucZ8SUZcEVE8RZuwnfW+E3f2mUkliZZihOFJ5NJY8bYXCxmE16fzqzPDktVQUSMT058zuXaYgAmZY0j0Z6gOFF40hyxOB58EQC95irOre+pDSSCigy4ImL4q0pxbnkXAC2hCfbeExUnCm9NU2KYMNioKpy6VMnybWcUJxKi8R0tO8G6s5sB6JKaS58mPRQnCm+WNt2xZA0AjAsY3tN71QYSQUMGXBERjGrCW+CpBU0jauhLaBab6lhhb2TvlmQ2N65efbzpJOcuVylOJETjcX2lmhBtieKZDlJNCATHgClo0YkAODe+je6U5xkhA66IEJ6CDfjq1ku0dR2NOSNTcaLIYDJpTB+bi9ViwufXmbn0MF6fVBVEePr4+DKKnaUATMoeR4I9XnGiyKDZY3AMfhGoqyrUvYlYRDYZcEXY81eV4KrrZpkSm2HrOV5toAjTJDmaiUPaA3CmqIpl204rTiREwyssO876c1sAeCC1E70zuitOFFksrbphyR4EgPfYVjynditOJFSTAVeENV3Xca5/CzxO0K6tmiDVhEAb3qsF2S2MqsKnm09xpqhScSIhGo7T62Je/kIAYqzRPJ0zQaoJCjj6P4MWY2yD7JKqQsSTAVeENU/+OnznDwFge2As5vR2ihNFJpOmMW1sLjarUVWYtTRfqgoibHx0fBklzjIAJmePJ94WpzhRZDKqCtMA0Gsrrm/FLiKTDLgibPkrruDaZuxwY0pqjq3nOMWJIltGUjSThhrd57OXq/hsyym1gYRoAEdKj7Lx/FYAuqd1oUf6A4oTRTZLy65YcwYD4D2+Dc+JHYoTCVVkwBVhSdf9xqoJXhdoJhxDv4VmtqqOFfEe6tGcnFaJACzdeprTl6SqIEJXrdfJvPxFAMRaY5jc4QmpJgQBe79n0GKSAXBtmoO/tkJxIqGCDLgiLHkOr8V3IR8AW7exmNPaqA0kAKOq8OKYXOxWc11V4TAer1QVRGj68NhSylxXAZjc4QnibLFqAwkANFsUjiHTAdCdlbikqhCRZMAVYcdfcRnX9gUAmJJbYush1YRgkp4YxVMPGasqnLtSzadbTipOJMS9yy8pZPOF7QD0TH+AHuldFScSX2Vp0Rlr7lAAvCfy8BzPUxtIBJwMuCKs6Lof5/pZ4HWDZjZWTTBbVMcSNxjSvTm5rY13Oy/beoaTF+UlRBE6ar21zDtiVBPirLE8lT1ebSBxS/a+k9FiU4C6qkJNueJEIpBkwBVhxXPoC3wXCwCw9XgMc2prxYnErZg0jWljcrDbzPh1Y1UFj9enOpYQd2XJ0c+46jKGpadzJhBri1GcSNyKUVWYAYDuqsK1aQ66ritOJQJFBlwRNvzll3BtN66qmFJaYev+qOJE4pukJkQxeZixqsKF4mo+3nRKbSAh7sKhkiNsvWi8M79XRje6pXVWnEh8E0vzjlg7DgPAe2oX3uPbFScSgSIDrggLut+Pc90s8LnBVFdNMEk1IdgNeaAZndoYVYXl209z/IK8hCiCV42nhvn5iwGIt8UxKVv6/aHA3vcptLg0AJyb5+Kvuao2kAgIGXBFWPAcXIWv6CgAth7jMKe0UpxI3A1N05g2Jpcouxldh7eW5uP2SFVBBKfFRz+l3G30xZ/pMIFYq1QTQoFmdVyvKuCqxrXxHakqRAAZcEXI81+9iGuHcVXFlNoGW7cxihOJe5Ec7+DpYVkAXCyp4aONsqqCCD4Hig+z/dIuAPo26UnXtE6KE4l7YWmWg7XzCAC8p/fgPbZVcSLR2GTAFSFN9/upXT8LfB4wWaSaEKIGdW1Kl3bGu51X5J3h2DmpKojgUe2p4b0jSwBIsMXzZNZjihOJ+rD3fhItPh0A5+Z5+KvLFCcSjUkGXBHSPAdW4C86BoCt53jMyS0UJxL1oWkaL4zqQJTdgg7MWnoYl1QVRJBYVPgJ5W5j171ncyYSbY1WnEjUh2a111UVNHDX4Nz4tlQVwpgMuCJk+cou4NppXFUxpbXF9sBoxYnE/UiOd/DscKOqUFRWy4cbTihOJATsu3KQHUW7AejXtBedU3MVJxL3w9K0A9YuIwHwndmH9+hmxYlEY5EBV4Qk3e/DuW4m+LxgvlZNMKuOJe7TgM5NeKC9UVVYteMshWevqg0kIlqVp5r3Cj4AINGewMRMqSaEA3vvCWgJTQBwbpmPv6pUcSLRGGTAFSHJvX85/ivGFT57rwmYk5orTiQagqZpPD8qh+i6qsJby/JxuaWqINRYVPgxle4qAKbkPEm0NUpxItEQNIudqKEvgaaBuxbnxtlSVQhDMuCKkOMrPYd750cAmNLbY+0ySm0g0aCS4uxMGZENwOWyWpasP644kYhEey4fYGfRXgAGNO1Dx5QOagOJBmXOyMTa5REAfGcP4CnYoDiRaGgy4IqQovu9RjXB7wWzlaihL6GZ5GEcbvp1yqB7VioAq3edo+CMvNtZBE6lu4r366oJSfZEJmTJrojhyN5rAqbEpgC4tr6Pv6pEcSLRkGQyECHFvXcZ/uJTANh7T7z+5CTCi6ZpPP9IB2IcxpJvs5bm43R7FacSkWJB4UdUeaoBeC53ElEWh+JEojFoFhuOa1UFTy3O9W9JVSGMyIArQoav5Czu3R8DYM7Iwtp5pOJEojElxNqZMtKoKhSXO1m0TqoKovHtKtrHnsv7ARjUrC85yVmKE4nGZE5vj+0BY3Mg3/lDeI6sV5xINBQZcEVI+LKa4AOzDcfQGVJNiAB9czPomW3sIb9293nyT8m7nUXjqXBXsqDwQwCSHUk8kTlWcSIRCLae4zElNQPAte19/JVXFCcSDUEmBBES3HuW4i85DYC9z5OY6pZ4EeFN0zSmPtKB2CgrAG8tO0KtS6oKouHpus77BR9S7akB4LmcSTikmhARNLMVx5CXQDOBx1lXVfCrjiXukwy4Iuj5ik/j3v0JAOYm2Vg7D1ecSARSfIyNqY8Y72AvqXCyaO0xxYlEONpVtJd9Vw4CMLj5ADokZypOJALJnN4OWzfjir3vQj6e/HVqA4n7JgOuCGq6r66aoPug7g0BmiYP20jTOyed3jnGHvLr9l7g0EmpKoiGU+6qZGGh0e9PdSQzrr3sihiJbD0ex1S33btr2wL8FZcVJxL3QyYFEdTcez7BX3oWAHvfpzDFpytOJFSZMjKbuGijqjB7eb5UFUSDMKoJH1Dtrasm5E7CYbErTiVU0MzWulUVzOB14Vw/S6oKIUwGXBG0fFdO4d7zGQDmpjlYOw5TnEioFB9tY+pIo6pQWuFiwZqjihOJcLCjaA/7iw8BMLTFQLKS2itOJFQyp7bB1t1Y99h3sQDPoS8UJxL1JQOuCEq6z1NXTfCDxY5jyAypJgh65aTTt2MGABv2XeTACVmYXdTfVWf59WpCWlQKj0s1QQC27o9hSmkJgCtvEf7yIsWJRH3IxCCCknPHR/jLzgFg7zcZU3ya4kQiWEwZkU18jA2At5cfodrpUZxIhCJd15l3eDG13lo0NJ7LfQq72aY6lggCmtmCY+i36qoKbqkqhCgZcEXQcV44hvNaNaF5J6y5DylOJIJJbJSVF+pWVSirdPHuykLFiUQoWn9qGweK8wF4qOUgMhPbKk4kgok5pRW2no8D4LtUiGv/SsWJxL2SAVcEFd3r5sqnfwVdB6sDx+BpaJqmOpYIMt2z0+jfyagqbNx/kR2HLylOJEJJmfMqb+9ZBEB6dCqPtXtEcSIRjGzdxmJKbQ1A7bZFuEsuKE4k7oUMuCKo1O74EE/xtWrC05jiUhUnEsHqmeHZJMQaLym/tmgv1bVSVRB3pus6cw8tosZjVBOm5k7GJtUEcQuayWKsqmAyg8/Dlc9eQ/dLVSFUyIArgoav6BiuvcsAsLTsjDVniOJEIpjFRll5YVQOYKyqMG9lgeJEIhRsvbiDQyXGY2VEmyG0S2itOJEIZubklth6jgfAda4A1/4VagOJuyYDrggKutddt2qCjmaPJmboDKkmiDvqlpnKg12bArD5wCX2HJU95MXtlTrLWHL0UwCaxzXh8fZSTRB3ZntgDOY0o6Ndu30xvqtSVQgFMuCKoODa+QH+cqNHmTpiGqa4FMWJRKh4dmQ2KQkOAOZ8XkCVVBXELei6zvz8xTh9LjQ0vtf3Baxmq+pYIgRoJjMxD78MZgv4PDjXzkT3+1THEncgA65QznvpKJ66l30srR4gtqusmiDuXozDyvcndQOgvNrNu6tkVQVxs80XtnOkzNgc5JG2D5GZ0kZtIBFSzMnNSR78NAD+Kydw7/9ccSJxJzLgCqV0rwvn+pmADrYoYobKqgni3vXKzWBIt2YAbDtcxK4C2UNefKmktpQPjhlLDzaNyeDR9iMVJxKhKKHf45gzjJ3u3Ds/xFd2XnEi8U1kwBVKufKWoNftEuMY8Bym2GTFiUSoemZ4NsnxdgDmrCigosatOJEIBn7dz7wji3H53Jg0E1Nzn8JqsqiOJUKQZjITM+xbRlXB78W5TqoKwUwGXKGM92IBnoOrADC36oYla4DiRCKURTssvDjaWFWhssbDfNkAQgCbzm+jsOwYACNbDaV1fEvFiUQoMyc1w957IgD+Kydx71umOJG4HRlwhRK6x2WsmoAO9hgcg1+UaoK4b53bplyvKuw4cpkdR6SqEMmKa0v48LgxgDSLacKotsMVJxLhwNr5EUwZmQC4d32Er/Ss4kTiVmTAFUq48hahVxpLOjkGTMEUnag2kAgbTz2USUq8sarC3BUFVFRLVSES+XU/8/IX4b5WTego1QTRMDSTiaghL4HZCn5fXVXBqzqWuIEMuCLgvBfy8RxaDYClTQ8smf0VJxLhJMpuYdoYo6pQVeth7soCdF1XnEoE2oZzWzl69QQAo1oPo1VcC8WJRDgxJTbB3udJAPzFp3HvXao4kbiRDLgioHSPE+f6WQBo9ljsg16QaoJocB3bJPNQj+YA7Cq4Ql6+VBUiyeWaYj6qqya0iG3GI22GKU4kwpG18wjMTbIBcO/6BF/xacWJxFfJgCsCyrV9IXplMQD2gc9hik5QnEiEq0lD25NatwHEvJUFlFe5FCcSgWBUExbi8Xuur5pgkWqCaASaZsIxZAaYbaD7cK6fie6TqkKwkAFXBIz3/GE8h9cAYGnbC0v7vooTiXDmsFmYPiYXgGqnlzkrpKoQCdad28zx8lMAjGkznBZxzdQGEmHNlJCBve8kAPwlZ3Hv+VRxInGNDLgiIHR37ZfVBEcc9kHPSzVBNLqc1kk83NPoXu45Wsy2w0WKE4nGVFRzhU+OLwegZVxzRraWXRFF47N2ehhz0w4AuPd8hq/4lNpAApABVwSIa9sC9KoSAOyDpmKKilecSESKJ4e0Jz0xCoB3VxVSVilVhXDk1/3MPbwQj9+LWTPzfO5kzCaz6lgiAlyvKljsRlVh3Ux0n0d1rIgnA65odN5zB/EcWQeApV0frO36qA0kIordZmb62Fw06qoKnx+RqkIYWnN2IycrjDf5jGk7gmaxTRQnEpHEFJ+Ovd9kAPyl53Dv/kRxIhGUA25BQQEvv/wyvXr1onv37kyZMoUdO3bc8XZbt27l+eefp2/fvvTp04dnnnmGdevWNX5gcVu6uwbn+rcA0KLisQ+aqjiRiETZLRMZ3svYwWrf8RK2HLykOJFoSJeqL/PpiRUAtIprwYhWQxQnEpHImjsUczOj9+/euxTflZOKE0W2oBtwz549y5QpUygtLeWPf/wjr///7d15dBRlvv/xd++dBUjCEjDsS9hkFVlCQEREEEdcUFTEGcDlMOq9jjpef3rnOmfG8Thz57oy6OAOMgMiijqiKCAgO4iISgg7hCUkZIOQpNf6/dEkY0yiSUhSnc7ndY7Hc6q7uj/1UHnyTfW3n5o7l5iYGGbMmMGuXbuq3G/16tXMnDkTl8vF//7v//LXv/6V6Oho7rnnHj755JMGPAL5Ic+mRRjncgFwpf4Sq7uZyYmkqbrhsq4kxp9vVVi5T60KESIQDDA/bTH+oB+7xcYdfdSaIOYItSrMBIcbjCAla15Rq4KJwq7AnTt3LoFAgHnz5jF27FhGjBjBnDlzaN26Nc8880yV+z333HN06tSJuXPnMnr0aEaPHs3f/vY34uLimD9/fgMegZTyH92FL30dAPbuw3F0ucTkRNKUuRw2Zk3qgwUo9vh58xO1KkSCVRnrOHImdKvUa7peRbuYRJMTSVNmbdYa1/BbAAjmncD71TJzAzVhYVXgGobBqlWrSElJISEhoWy70+lk3LhxbN26lYKCgkr3mz17Nr///e9xOBxl291uN506dSIzUx9HNjTDc46SdaWtCS1wp9xuciIR6N6+BVcN7QjAtwdzWL/rpMmJ5EKcKMzk44OfAdCleUeu6Dja5EQi4Oh1GbakvgB4v1lOIOuAyYmaprAqcDMzMykoKKB79+4VHuvRoweBQIB9+/ZVeMxisTBx4kSGDx9ebrvP5+PIkSO0b69bNDa0kk3/wCjKB8A96ldY3LHmBhI577pRXWibEA3AotX7yD1TYnIiqY1AMMCCtHfwGwHsVju3974ZqyWsfqVJE2WxWH7QqmCEVlXwe82O1eSE1e1dsrOzAcpdvS1Vuu306dPVfr0XX3yR/Px8brvttmo932q1YLU2zNqsNpu13P8jiffw1/j3bgDAmTwSd/fqtyZE8rhcKI1N5Wo6Lna7lbuv7csf39pGsSfAm5/u4be3DorIdZkj+Zz57OAXHD17DIDruk+gfYvqr5oQyeNyoTQ2lavxuMS1xhg5jaI1rxHMP4lvxzKiU26px4TmCOfzJawKXK839BfOD9sMSpVu83iq98WQRYsWMW/ePCZPnszEiROrtU9CQkyD/5Jr3jyqQd+vvgWKz3Js3ZsA2GLjaXfN3diiYmr8OpE2LnVJY1O5mozLpfEx3DCmO0u/2M93B3PZtvc0Vw3vXH/hTBZp58zR/OP863xrQs+WXZkyYCJWa81/wUbauNQljU3lajIuRspEMo/uoPjg13h2fkLLASNxt+9Vj+nME47nS1gVuE6nEwi1FvxYafHrdrt/9nXmzJnDiy++yDXXXMNTTz1V7ffPzT3XoFdwmzeP4syZYgKBYIO8Z0M4t3IegcI8AKJGz+BMiQVKzlV7/0gdl7qgsalcbcdl4rAObP72JMdPn+PVD76ja2IsreLCb5K+EJF4zgSCAZ7f8gaBYACH1cG0XjdRUFBco9eIxHGpKxqbytV2XJypv6TkWDqGt4jMZS/Q/OYnsThc9Zi0YZl1vsTH//yFs7AqcBMTQ99+zc3NrfBYTk7oLlht2rT5ydd44oknWLRoEbNmzeK3v/1tja7IBoMGwWDDfqs6EAji90fGJOI7/BXevRsBsCePwtK+f62PLZLGpa5pbCpX03GxYmHmpN78af5XlHgDvPLRbh6+ZWBEtipE0jnzyaFVZJw9DsC13SbQ0tVS80w90NhUrsbj4o7DlXIbJWteJVhwinOb38U94tb6C2iScDxfwqppIjExkZYtW5Kenl7hsbS0NBwOBz169Khy/2effZZFixbx+OOP88gjj0TkL6pwZZQU4vnyLQAsMfG4R0Rer5FEni7tmjNxeGhVhbQjeazZecLkRPJTMs6eYPnhlQB0a9GFMe1HmpxI5OfZe4zE1nEAAL5vP8N/smKNI3UvrApcgPHjx7Nx48ayL5wBFBUVsXLlSlJTU4mNrfzb+CtXruTll1/moYce4o477miouHJeyYa3MYrPAOAePQOLq+Z9tyJmuHZkF5Jah87Xd1bvJzu/Zh93S8PwB/0sSFtM0AjitDq4vfdNWjVBGgWLxYJ71K/AGQ0YlKx9HcOnG83Ut7CbHWbPnk1MTAz33HMPX3zxBRs2bGD27NkUFRXx4IMPArB161b69OnD4sWLAfD7/Tz99NN06tSJESNG8O2331b4r7SHV+qe7+A2/Ac2A+DoNRp7h/4mJxKpPofdyp2T+mC1WPD4AryxPI2gbgARdj49vJrjhaF1iyd3v5o20a1MTiRSfdaYeNwjQ+vBG2dO4dn2rsmJIl9Y9eBCqE1h4cKF/OUvf+Hhhx8mGAwyYMAA5s+fT3JyMhC6sUMgECAYDPV7ZGZmkpERupPNlClTKn3dVatWaT3cehAsPoNnfehOcZaYBFzDI6+3SCJfp7bNuCalEx9uOMyeo/l8seM4V1yi+SJcHD17jBVHVgPQI64ro5NGmJxIpObs3UdgP7gN/5Gv8X33OfbOl2C/KDJXVQgHYVfgAnTt2pWXX365yseHDRtWrk+3ffv2lfbtSv3zbFiAUXIWAPdlM7E4I+tb6NJ0XJPSma/3nSYjq5Ala/bTr2sCbeKjzY7V5PmCfhbsfifUmmBz6oYO0mhZLBZco36JP3MveM5RsvY1Yqb8EYvj51eHkprTLCG15juwFf/BbQA4eo/B3v5ikxOJ1J7dZmXWpN7YrBa8viCvf6xWhXDw6aGVnDgXut369d0m0Sqq4o2ARBoLa3Qc7pHTATDOZuPZssTkRJFLBa7USrCo4N+tCbEtcQ2banIikQvXMbEZv0jpDMDeYwWs2n7M3EBN3JEzGXx2dA0APeO7k5o0zNxAInXA3m0Y9s6hO3z6dq/Cf3y3yYkikwpcqTHDMPCsn4/hKQTAfdkstSZIxLh6RCc6JoZWa1m69gCncotMTtQ0+QI+5qeFWhNcNifTemnVBIkMpa0KFnczAErWvobh1eotdU2zhdSY/8AW/Ie/AsDR5wrsSX1MTiRSd+y20KoKNqsFrz/Ia8vTGvwGMALLD68k89wpAG7ofg0to+JNTiRSd6xRzXGlnm9VKMzBs2WxyYkijwpcqZFgUT4lGxYAYGnWGtewm0xOJFL32reJ5drULgDsP1bA59szTE7UtBwqOMrnR9YA0Cu+ByMvUmuCRB5H16HYu14KgC9tDf5j35mcKLKowJVqMwwjdLcyzzngfGuCvv0pEerq4R3p1Db0EeJ76w5yMuecyYmaBm/Ax4K0dzAwcNvc3N77Jt2VUiKWa+T0H7QqvK5WhTqkAleqzb9/E/4jXwPguPhKrd8nEc1mtXLnpN7YbRZ8/iCvfaxWhYbwr0MrOFWUBcCNPX5BvDvO3EAi9SjUqhC6+6pxLhfP5n+anChyqMCVagmey6Nkw9sAWJon4rq08htqiESSpNaxXDeqKwAHT5xhxdajJieKbAcLDrP66JcA9GnZkxHthpicSKT+Obpeir3bcAB8e9bhz9hlcqLIoAJXfpZhGJR8+SZ4iwAL7jGzsDhcZscSaRBXDe1Al3bNAXj/y0McP61WhfrgDXhZsDvUmhBldzOt1xS1JkiT4R55O5ao0DxTsu4NDI/mmQulAld+ln/fBgJHvwHA0W889rbJJicSaTg2a+gGEHabFX8gyOsf7yZw/jbhUnc+OriCrOLTAEzpcS1xrhYmJxJpOBZ3LK5RvwLAOJdHyaZF5gaKACpw5ScFC3Mp2bgQAEuLtrguvcHkRCIN76JWMdwwOtSqcOjkWT7dolaFurQ//xBfZKwH4OKWvRnW9hKTE4k0PEfnwdi7jwDAv/dL/Ed3mhuokVOBK1UKtSa8Ad5isFiIGnMnFrtaE6RpGn9pB7olhT5CXPblIY5lF5qcKDJ4At6yVROi7VHc2usGtSZIk+VOmYYlOg6AknVvqlXhAqjAlSr50tcRyPgWAEe/CdgSu5ucSMQ8VquFWZP64LBbCQQNXvs4DX9ArQoX6sMDn3C6OAeAm5InqzVBmjSLOxZ3aatCUX7ZJ6hScypwpVLBwhw8m0LLlVjj2uEacr3JiUTM1zYhmhvPtyocyTzLJ5uPmJyocduXd4A1xzYA0L9VXy5NHGRyIhHz2TsNxJ48EgD/vo34D39tcqLGSQWuVGAYBiVrXwdfCVgsuMfcicXuNDuWSFgYN6QDPdqHrjJ+uOEwR0+dNTlR41Ti97AgbQkAMfZobump1gSRUu4Rt/27VeHLNzFK1BJVUypwpQLfnrUEjn8PgHPA1djadDM5kUj4sFotzJzUG+f5VoXX1apQKx8cWE5OSS4AN/e8jhauZiYnEgkfFlcM7tEzATCKCyjZ+LbJiRofFbhSTvBsNp7NoeVJrPFJOC+5ztxAImEoMT6aKWNCf/gdzSrkXxsPmxuokUnP3c+645sAGNi6H5e0GWByIpHwY+/YH0fP0QD492/Gd2i7yYkaFxW4UsYwgj9oTbCGWhNsDrNjiYSlsZe0p2eHOAA+3nSEI5lqVaiOEn8Jb+8JtSbEOmK4pef1ak0QqYJrxC1YYhIA8KyfT7BE80x1qcCVMr60NQROpAHgHDgJW+suJicSCV9Wi4UZk3rjctjOr6qwW60K1fD+/o/JLckDYGrP62nmjDU5kUj4sjijcV9W2qpwBs/6BSYnajxU4AoAwTNZeDYvBsCa0B7n4GtNTiQS/trERXHT5aFWhWPZ5/hww2FzA4W5tJy9rD+xBYDBbfozuE1/kxOJhD97+4tx9BoDgP/gVnwHt5obqJFQgSvnWxNeA78HLDa1JojUwJhBSfTuFA/A8k1HOHTyjMmJwlOxv5iFe94FoJkjlqnJWnpQpLpcw6diiW0JgGf9AoLFmmd+jgpcwff9KgIn0wFwDroGW6vO5gYSaUSsFgszJvbC5bQRNEKrKvj8alX4sff2fUyeJx+AW3peT6wzxtxAIo2IxRmF+7JZABglZ/Gsn49hGCanCm8qcJu4YMEpPFtCX/iwtuyAc9AvTE4k0vi0ioti6uWhO/0dP32ODzccMjlRePk+J52NJ0Mfqw5JHMjANv1MTiTS+NiT+uDoMxYA/6Ht+A9sMTlReFOB24SVtSYEvOdbE+7CYrObHUukUbps4EX06Xy+VWHzEQ6e0EeIAEW+Yv5R2prgjOWm5MkmJxJpvFzDbsbSrBUAJRsWECzKNzdQGFOB24T5vvucQOZeAJyXXIutZUeTE4k0XhaLhRkTe+N22jAMeO3j3fj8AbNjmW7pvo/I9xQAcGvPG4l1qDVBpLYsDndZqwKec3i+fEutClVQgdtEBfMz8WwNXVWxtuqEc+AkkxOJNH4tW7i55YoeAJzMKeL9L5t2q8J3p9PYnBlanP7SxMEMaN3X5EQijZ/9ot44+o4DwH/ka/z7N5mcKDypwG2CjGCQ4rWvQsAH1vOrJljVmiBSF0b1b8fFXUILs6/YepT9xwtMTmSOIl9RWWtCC2czbkrW0oMidcU19CYszdsAULJxoVoVKqECtwnyfbeC4Kn9ADgvuQ5bQgeTE4lEDovFwq8m9iLKZT/fqpCG19f0WhWW7PuQAm/orku39rqRGEe0yYlEIofF4TrfqmABzzlK1r2pVoUfUYHbxATyT+DZthQAa+suOAdcbXIikciT0NzNredbFU7lFvHeuoMmJ2pY32R/z9bMHQAMbzuEfq36mJxIJPLY2/XEcfGVAASO7sS/b6PJicKLCtwmxAgGKPniVQj4wWo/35pgMzuWSEQa2a8t/buFFmb/fFsGezPyzQ3UQAp95/hneuiP6DhXC27soaUHReqLa+iNWFokAlCy8W2C5/JMThQ+VOA2Id5dnxLMDl1Jcg65Hlt8ksmJRCKXxWLhlxN6Ee2yYwCvL0/D0wRaFZbs/YCz3kIAbut1I9GOKJMTiUQui92F+7I7AQt4iylZ94ZaFc5TgdtEBHKP493+PgDWNl1x9p9gciKRyBffzMVtV4ZaFbLyilm69oDJierXzqxv2X5qJwAp7S6lb8te5gYSaQLsbXvg6H8VAIGMXfjTvzQ5UXhQgdsEGMEAJWtfhaAfbGpNEGlII/q2ZWD30MLsK7cfI/1oZH6EeNZbyD/T3wMg3hXHDT2uMTmRSNPhGnID1hZtASjZ9E+ChTkmJzKfCtwmwPvNcoLZofU4XZfeiC3uIpMTiTQdoVaFnsS4Q0vxvb48jRKv3+RUde+dvcso9J0DYFrvKUTZ1Zog0lAsdifuMXeCxQI+tSqACtyIF8jNwPvVMgCsid1xXHyVuYFEmqAWsS6mXZkMQHZ+Ce+uiaxWhR1Zu9iRtQuAkRcNo3dCssmJRJoeW2J3nP0nAhA49h2+PWtNTmQuFbgRzAj6Q6smBANgcxB12Z1YrPonFzHDsD6JDE5uDcDqHcdJOxIZrQpnvYUsTg/19ye447mhu+6KKGIW5yXXYY0PfUrr2byI4NnTJicyj6qdCObd+THBnCMAuIZOwRrX1uREIk2XxWJh+lU9iY1yAPDG8jSKPY27VcEwDBalv//v1oReU3Db3SanEmm6LHZnaFUFixV8JZSse73JtiqowI1QgdNH8H71IQC2tslli0GLiHlaxDi5fXzo4/vTBSUsaeStCl9lfcPO7G8BGJ00gl4JPUxOJCK2Nl3LbuIUOL4bX9oXJicyhwrcCGQE/KFVE4wA2J24L5uFxaJ/apFwMLR3IkN6he4hv+br43x/ONfkRLVT4DnLO+nLAGjpTmByN90VUSRcOC+ZjDW+PQCezYsJnsk2OVHDU9UTgbxff0QwJwMA19CbsJ6/y4mIhIfbxyfTLDrUqvBmI2xVCLUmvMc5fxEAt/e+CbfdZXIqESllsTnOr6pgBb+HkrWvYRhBs2M1KBW4ESZw+jDerz8CwNauJ46+V5icSER+rHm0k+njewKQc8bD4tX7TU5UM9tOfc2u098DcFn7kSTHdzM5kYj8mK11Z5yDQutRB07uwff9apMTNSwVuBHECPgoWfMqGEGwu9SaIBLGhvRqw9DeoVaFdd+c4LuDjWNh9nxPAUv2fgBAq6iWTO420eREIlIV56BrsSZ0AMCz9R2CZ7JMTtRwVP1EEO+ODwnmHgPANXwq1uZtTE4kIj/l9vE9aR7jBOCNT/ZQVBLerQqGYfDPPe9R5C/GgoXpvW/GZXOaHUtEqmA5f/dSLDbweylZ82qTaVVQgRshAlkH8e78GABbUh8cvceYG0hEflZslIM7rgq1KuSd9bBo9T6TE/20rZk7+C4nDYAxHUbSPa6LyYlE5OfYWnXCOfhaAAKZe/F9t9LkRA1DBW4EMPze86smBMHhxj16ploTRBqJwcmtGd439EXQ9btOsutAeC7Mnu8pYMm+UGtCm6hWXNt1gsmJRKS6nIMmYW3ZCQDP1ncJFmSanKj+qQqKAN4dHxDMOwGAa/gtWJu1MjmRiNTEbeOSaXG+VeHNT/ZwrsRncqLyDMNg4Z53KfaXhFoT+tyMU60JIo2GxXq+VcFqg4CXkjWvYQQju1VBBW4jF8g6gPeb5QDYkvri6HWZyYlEpKZioxz8ckIvAPILvfxzZXi1Kmw6uZ3dOekAjO04iq4tOpsbSERqzNayA87BkwEInNqH77vPTE5Uv1TgNmLG+YZxDAMcUbgvm4nFYjE7lojUwsAerRh5ceh22hu/y2TnvvBoVcgryWfpvtDSg4nRbbimy1UmJxKR2nIOnIS1VWcAPNuWEsg/YW6geqQCtxHzbH+PYP5JAFwjbsEa29LkRCJyIW4d14O42NBH/299uofCYnNbFUpbE0oCJWWrJjhtDlMziUjtWaw23GPuAqsdzi8tGqmtCipwG6lA5j58u1YAYOvQD0fP0SYnEpELFe128KuJoVaFgnNe/rFyr6l5Np7YSlpuKMO4jpfRpUVHU/OIyIWzJSThHHIdAMGsg3h3fWpuoHqiArcRMvweite+ChjgjMI9aoZaE0QiRP9urUjt3w6Azd+f4qt0c+4hn1Ocx9L9odaEtjGJTOpypSk5RKTuOftPxNq6KwDer94jkHfc5ER1TwVuI+TZ9h5GwSkA3CnTsMYmmJxIROrSLWN7EN/MBcCCFXs4W+Rt0PcPtSYswRPwYrVYuaP3zTjUmiASMUKtCneCzQ4B//lWhYDZseqUCtxGxn8yHd+3oW8+2joOwN5jpMmJRKSuRbvtzDjfqnCmyMfCzxu2VWH9ic2k5+0H4MqOY+jUvEODvr+I1D9b/EW4htwAQDD7EN5vPjE5Ud1SgduIGD4PJWtfI9SaEI171K/UmiASoS7u2pLRAy4CYGtaFtv3NMw95E8X5/Le/tBdES+KacvELuMa5H1FpOE5+k3A2qYbAN6v3ieQe8zkRHVHBW4j4tn2LsaZ0C8598jbscbEm5xIROrT1LHdadk81Kowf0U6Z87Vb6tC0Ajydto7eM+3JkzvczMOq71e31NEzGOxWokacyfYHBAMnG9V8Jsdq06owG0k/Cf24PvucwDsnQZh7z7C5EQiUt+iXHZ+dXVvAAqLfSz4LB3DMOrt/dYd38S+/IMAXNVpLB2bta+39xKR8GCNa4fr0ikABE8fxrtzucmJ6oYK3EbA8JWcb00AXDG4Rv1SrQkiTUTfzglcPigJgK/Ss9lWT60K2UU5fLA/9IstKbYdEzqPrZf3EZHw47j4SmxtkwHw7viAQM5RkxNdOBW4jYBnyzsYZ0NLBblHTscaHWduIBFpUDdd3o1WLdwAvP3ZXgrquFUhaARZkPYO3qAv1JrQeyp2tSaINBkWqxX3ZbPA5oyYVgUVuGHOf3w3vt2rAbB3vgR7t2EmJxKRhuZ22pnxw1aFFXXbqrD22EYOFBwCYGLnK+jQ7KI6e20RaRysLRJxDbsJgGDOUbxf/8vkRBdGBW4YM7zFZa0JFncztSaINGG9O8VzxeBQT+yOvdls2X2qTl73VFE2HxwILQ/UIfYiruqk1gSRpsrR9wps7XoC4N3xEYHTR0xOVHsqcMOYZ8tijMIcAFyp07FGNTc5kYiYacqYbrSOC7UqLPx8L/mFngt6vdJVE3xBHzaLjel9pmKz2uoiqog0QhbL+VYFuwuMACVrXsEINM5WBRW4Ycp/7Dt8aWsAsHe9FEfXoeYGEhHTuZw2Zp5vVThX4mf+pxfWqvBFxnoOFoSu0FzdZRxJse3qJKeINF7W5m3+3aqQewzvjg9MTlQ7KnDDkOEtomTt68D51oSR001OJCLhomfHeMYNCbUq7Nx/mk3fZ9bqdTLPZfHRwU8B6NgsiSs7jqmriCLSyDn6jMV2UeiPae/OjwlkHzI5Uc2pwA1Dns2LMM7lAuBKvUOtCSJSzo2XdaNNfBQA//h8H3lna9aqULpqgi/ox26xMb23WhNE5N9CrQozweEGIxhaVSHgMztWjajADTP+jF349qwDwN5tOI6ul5qcSETCjcthY9ak3liAIo+ftz7dU6NWhVVH13H4TGidy0ldx3NRbNt6SioijZW1WWtcw6YCEMw7jverxtWqoAI3jBiec5SsewMAS1Rz3CNvNzmRiISrHu3jGD+0AwC7DuSw/tuT1drv5LlT/OvgCgA6N+/IFR1G11tGEWncHL3HYEvqC4D3m48JZB00OVH1qcANIyWb/olxLg8A16hfYXHHmpxIRMLZ9aO60jYhGoBFq/aRe6bkJ58fCAZYsPsd/EYAu9XO9N43qzVBRKpksVh+0KpghFZV8NftjWbqiwrcMOE/uhP/3vUA2LuPwNF5sMmJRCTcOUtbFSxQ7Anw5ic/3aqw8uhajpzNAOAXXa+ibUybhooqIo2UNbYlrhG3AhDMP4n3q2XmBqomFbhhINSa8CYAlug43CnTzA0kIo1Gt6QWTBjaEYDvDuXy5a7KWxWOF57k40OfA9CleSfGdhjVYBlFpHFz9ByNrf3FAHh3fULg1H6TE/08FbhhoGTjQoyifADcak0QkRq6blQX2rX8d6tCTkH5VoVAMMCCtHcIGAEcVjvT+9yM1aLpX0Sqx2Kx4B49E5xRYBgUr3k17FsVwnKGS09P5+6772bIkCEMGjSIadOmsW3btnrbz0zeQ1/h37cRAHvySOydBpobSEQaHYfdxqxJfbBYoMQb4I1P0sq1Knx6+Asyzh4H4NquE0iMbm1WVBFppKyxCbhH3AaAUZCJZ9tSkxP9tLArcDMyMpg2bRq5ubn85S9/Ye7cucTExDBjxgx27dpV5/uZKVB0lqI1bwLnWxPOnzgiIjXV9aLmXD28EwC7D+exducJAA7nHePjA6HWhG4tOjOmQ6ppGUWkcbMnp2Lr0B8A37ef4T+ZbnKiqoVdgTt37lwCgQDz5s1j7NixjBgxgjlz5tC6dWueeeaZOt/PTDmfvYZRXACAe/RMLK4YkxOJSGN27cguJLUKzSOLV+/nZM5Z5m5963xrgoPbe6s1QURqL9SqMAOc0YDBudWvEvTV7EYzDSWsZjrDMFi1ahUpKSkkJCSUbXc6nYwbN46tW7dSUFBQZ/uZyXtgG4XffwmEmrftHfubnEhEGjuH3cqsa3pjtVjw+AI8u3Yph/OPAXBdt6tpE93K5IQi0thZY+LLvgwfLDhF7hcLTU5UObvZAX4oMzOTgoICunfvXuGxHj16EAgE2LdvH0OGDKmT/cxSci6Xd79ZSE67FmB3YG/uh52vmR0rLFgs4HDY8PkC1ODGTE2CxqZyGpeKLhpaRFZeMfnROViAKF8bvtoUzY5NO82OFhasFgt2hw2/L0BQJ005GpvKaVx+xIjmSntXOvsPcmbbx3hie9KqR3hdqAurAjc7Oxug3FXYUqXbTp8+XWf7/ZjVasFqtVQ/cC3tObKBTbF2yoY/L/yX2xCRxsUWF/q/EbCRt7sXuZ48U/OISGQ5ahnMoy2OEWP1cvLrDbTtPdDsSOWEVYHr9YaWnHA4HBUeK93m8VTs9ajtfj+WkBCDxVL/Be7IodeQ/ukech027M0qFuUiIheqxBvgRHYRzT09aNalvdlxRCQCrfFNoa/3O7pfeT3x8eH1PaKwKnCdTicAPp+vwmOlRazb7a6z/X4sN/dcg1zBBRt3XPH/aN48ijNnigkEgg3wno2DzWbVuFRBY1M5jUvVNDaV07hUTWNTOY1L5Wy2gTRvfiNnzhSTl3euwd63OsV0WBW4iYmJAOTm5lZ4LCcnB4A2bSreWrK2+/1YMGgQDDZsb00gEMTv1w/Lj2lcqqaxqZzGpWoam8ppXKqmsamcxqVy4TguYbWKQmJiIi1btiQ9veK6amlpaTgcDnr06FFn+4mIiIhI5AmrAhdg/PjxbNy4seyLYwBFRUWsXLmS1NRUYmMrv41tbfcTERERkcgSdgXu7NmziYmJ4Z577uGLL75gw4YNzJ49m6KiIh588EEAtm7dSp8+fVi8eHGN9hMRERGRyBd2BW5iYiILFy6kTZs2PPzww9x3331YLBbmz59PcnIyELqxQyAQIBgM1mg/EREREYl8FsPQisWlsrPPNth72e1W4uNjyMs7F3aN2WbSuFRNY1M5jUvVNDaV07hUTWNTOY1L5cwal9atm/3sc8LuCq6IiIiIyIVQgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISERRgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISERRgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISESxGIZhmB1CRERERKSu6AquiIiIiEQUFbgiIiIiElFU4IqIiIhIRFGBKyIiIiIRRQWuiIiIiEQUFbgiIiIiElHsZgeIBHv27OGBBx7g0KFDLF++nG7duv3sPtu2beP555/n+++/x2q1MnjwYH7729+SnJxc7nnp6en83//9Hzt27CAQCNCnTx8eeOABLr300vo6nDpTm3H55JNPePPNN9m/fz9Op5NevXpx//33M3jw4LLnjB07luPHj1e6/5NPPslNN91UZ8dQX2o6NjU55uqeW+GoJuOyZcsW7rjjjiofT0pKYvXq1QD07Nmzyue98cYbpKSk1D50A9i0aRMvvfQS6enpGIZBt27duOeeexgzZsxP7tcU5pnajk2kzzW1GZemMM/UdFya0jyzZs0a5s2bx759+7BarSQnJ3PPPfeQmpr6k/uF6zyjdXAv0MKFC3n66adp0aIF2dnZ1SpWvv76a6ZPn87w4cOZMWMGfr+fuXPncujQIZYuXUqHDh0AyMjI4Prrr6dz5878+te/JioqijfeeIONGzfyj3/8g/79+zfEIdZKbcZl4cKF/OEPf2Dy5Mlcd911FBUV8fLLL5OWlsbbb7/NoEGDgNAknJyczL333lvhNZKSkkhISKiXY6ortRmb6h5zdc+tcFTTcSksLOTQoUMVtgeDQe677z4uvfRSnnnmGSD0i+fmm2/m5ptvrvD8Ll26EBsbW3cHUsdWr17NvffeS2pqKtOnTwfgrbfeYv369Tz33HNMnDix0v2awjxT27GJ9LmmtuMS6fNMbcalqcwzH3zwAY888gjXXnst1113HV6vl9dee62seJ0wYUKl+4X1PGNIrW3ZssXo16+fsWTJEuOFF14wkpOTjf379//sfrfffrsxZswYw+PxlG3LyckxBgwYYDz22GNl2x599FFj4MCBRk5OTtk2j8djjBkzxvjlL39Zp8dSl2ozLn6/3xg6dKhxxx13lNuelZVl9OrVy3jooYfKtl1++eXGf/3Xf9VL9vpW23Omusdc3XMr3NR2XCrzxhtvGAMHDjQyMzPLtiUnJxsvvPBCXcVtUL/4xS+Mq666yvB6vWXbiouLjaFDhxq33HJLlftF+jxjGLUbm6Yw19T2nIn0eaa241KZSJtnRo8ebdx2223ltp09e9YYPHiwMXXq1Cr3C+d5Rj24FyAuLo5FixYxZcqUau+Tn5/P9u3bufLKK3E6nWXbExISSElJYeXKlRiGgWEYrFq1ipSUlHJXCZxOJ+PGjWPr1q0UFBTU6fHUldqMi8/n43e/+x0PPfRQue2tW7cmISGBzMzMuo5pitqMTXVV99wKR3U1Lrm5ucyZM4e77rqLxMTEOkpnHsMwmD17Nr///e9xOBxl291uN506dary56IpzDO1HZtIn2tqOy7V1Vjnmbocl0ibZzweD3fffTf/+Z//WW57bGwsXbp0ISsrq9L9wn2eUQ/uBahNr9H+/fsJBoP06NGjwmM9evRg1apVnDp1CsMwKCgooHv37pU+LxAIsG/fPoYMGVKr7PWpNuPidru55pprKmzPzc0lLy+PUaNG1UU009Vnf1p1z622bdvWW4baqqtxmTt3Lm63mxkzZtTJ65nNYrFU+rGpz+fjyJEjVY5bU5hnajs2kT7X1HZcqquxzjN1OS6RNs+4XC6mTZtWYbvH4yEjI4N+/fpVul+4zzO6gtvASv8Sio+Pr/BY6bbs7Gyys7MBKu3xKt12+vTp+ooZNv70pz8RDAa59dZby23PyMjg/vvvJyUlhX79+nHDDTewfPlyk1I2jJ875uqeW5EqKyuLxYsXc9dddxEVFVXh8d27dzNr1iyGDRvGgAEDmDZtGps2bTIh6YV78cUXyc/P57bbbqv08aY8z/zc2FQl0uea6o5LU5tnanq+NIV5xu/3c+DAAR588EECgQD/8R//Uenzwn2eUYHbwLxeL0C5j0hKlW7zeDzVfl4ke/bZZ/nXv/7F7NmzGTBgQLnH9u/fT//+/Xnuued45plncDqd/OY3v+Hdd981KW39+7ljburnzIIFC7Db7VW2OaSlpTF27Fj+9re/8ac//Ym8vDxmzpzJhg0bGjjphVm0aBHz5s1j8uTJVX5ZqKnOM9UZm8pE+lxTk3FpSvNMbc6XSJ9n3nvvPfr27cvVV1/NsWPHeP3116v8Ali4zzNqUWhgLpcLCH0s8mOl29xuN8FgsMrnlZ4sbre7vmKaKhAI8MQTT7BkyRJmzZpVoS/o3XffxeVyERMTU7YtNTWVSZMm8dxzz3HjjTdisVgaOna9qs4xV/fcikR+v5+lS5cyYcKEcmNUav369TRr1qzc8Q8bNowJEybwwgsvMHLkyIaMW2tz5szhxRdf5JprruGpp56q8nlNcZ6p7tj8UFOYa2oyLk1pnqnN+dIU5pmxY8eydOlSsrKy+Oijj5g2bRr/8z//U+mSeOE+z+gKbgNr06YNEOr3+rGcnJyy55Q2rv/c8yKNz+fj3nvvZenSpTz++OM88sgjFZ6TkJBQYXKJiooiNTWV7OzsRveRanVU55ire25Fop07d5KTk8MVV1xR6eOtW7euMIG2bt2agQMHsnv37oaIeMGeeOIJXnzxRWbNmsVf//pX7Paqr080tXmmJmNTqinMNTUdl6Yyz9TmfIGmMc/ExcVx8cUXM3bsWJ599lkuv/xy/vCHP5Cfn1/hueE+z+gKbgNLTk7GbreTnp5e4bG0tDRat25d9g/dsmXLKp/ncDgqbexuzAzD4LHHHitbk/Cqq66q9HmBQACLxYLVWv7vs9KPOEr/qowk1TnmmpxbkWbDhg1YLBaGDx9e6eNer7fct3xLeTyeRnG+PPvssyxatIjHH3/8JxedL9WU5pmajg00jbmmNuPSFOaZ2oxLqUidZ7Kysli7di2DBg2q8EWwAQMGsGLFCo4cOUJcXFy5x8J9ntEV3AbWrFkzUlJSWLFiBcXFxWXbT506xebNm8stpjx+/Hg2btxYrmG/qKiIlStXkpqaGtaLRtfG/Pnz+fDDD/nzn/9c5S+crVu30q9fP5YsWVJue2FhIevXryc5OZnmzZs3RNwGU91jrsm5FWm2b99OUlJSpT8Ty5Yto3///qxfv77c9uPHj/Ptt9+G5QoBP7Ry5UpefvllHnrooWr/Qm4q80xtxgYif66pzbg0hXmmtudLqUidZwzD4He/+x2vvPJKhce++eYbANq1a1fhsXCfZ3QF9wIcO3aMvLw84N/fJty/fz9FRUVA6K4my5cv57HHHmPevHllt7t76KGHmDp1Kr/+9a+588478Xq9PP/887Ro0YK777677PVnz57NihUruOeee7j//vtxOp3MmzePoqIiHnzwwQY+2uqrzbicOXOGF154gSFDhtCxY0e+/fbbCq/br18/LrnkEvr3789TTz3FmTNnGDRoEFlZWbz66qvk5eXx9NNPN9yB1kJtxqYmx1zdcyvc1PZnqdSpU6eqvHvSuHHj6NSpEw8//DD3338/PXv2JCMjg7lz52K1WnnggQfq78AukN/v5+mnn6ZTp06MGDGi0p+LpjrP1HZsIn2uqe24RPo8cyE/S6UidZ5JTExk2rRpvP3220RHRzNu3DgAPvvsM1asWMENN9xAmzZtWLZsWaOaZ1TgXoA5c+bw/vvvl9v2w+U0Vq1aRTAYJBAIlDVZA/Tq1Yv58+fz17/+lXvvvRe73c7QoUN5/vnny320k5iYyMKFC/nLX/7Cww8/TDAYZMCAAcyfPz+s7/ddm3FJS0ujsLCQ7du3V/nt1PT0dGw2G6+88gp///vfeffdd3nxxRdxOp0MHDiQBQsWcMkll9TfgdWB2oxNTY65uudWuKntz1Kp7OzsKn8mYmNjmT9/Pi+99BKvvfYaWVlZxMbGMnToUO67776w/lnKzMwkIyMDoMqfi6Y6z9R2bCJ9rqntuET6PHMhP0ulInWeAXjsscfo3r07S5Ys4aOPPgKgY8eOPPHEE2W3Hm5s84zFCMdbjoiIiIiI1JJ6cEVEREQkoqjAFREREZGIogJXRERERCKKClwRERERiSgqcEVEREQkoqjAFREREZGIogJXRERERCKKClwRERERiSgqcEVEGpG5c+fSp08fvvzyy3p7j2effZa+ffuybt26ensPEZH6pAJXRCTMLFq0iC1btlTYvnr1al544QXuv/9+Ro0aVW/v/8ADDzB06FB+85vfcPTo0Xp7HxGR+qJb9YqIhJFAIMCQIUOYOXMm999/f9n2s2fPMm7cOBITE3n//fex2Wz1muPEiRNMmDCB/v378/bbb9fre4mI1DVdwRURCSN79+6lqKiowvZXX32V/Px8HnzwwXovbgEuuugipk2bxrZt21i5cmW9v5+ISF3SFVwRkTDx6KOP8v7775fbdt9993HnnXeSkpJCfHw8q1atwmKxlD3+4IMP8vHHH7Nq1SrWrVvHwoULycjIID4+nmHDhvHII4/QqlWrsucfP36cV155hY0bN3Lq1ClcLhcdOnTguuuu4/bbby/32hkZGYwbN47hw4fz1ltv1f8AiIjUEbvZAUREJGTatGlER0ezcOFCJkyYwMSJE+nevTtbtmyhqKiIa6+9tlwBCuBwOAB4+eWX+eabb5gyZQrx8fF88cUXfPDBBxw5coTFixcDUFhYyNSpUykuLuaOO+6gS5cuFBcX8/nnn/Pkk09y/PhxHn300bLX7tChA127duWrr76isLCQ2NjYhhsMEZELoAJXRCRM9OvXj3379gHQvXt3JkyYAIS+dAaQmppaYZ/Sgnf79u0sW7YMt9sNwOTJk5kwYQI7d+7k+PHjJCUlsWnTJrKzs3n44Ye56667yl5j6tSp/O53v6OgoADDMMoV0SNHjmTBggVs3ryZcePG1c+Bi4jUMRW4IiJh7siRIwB06dKlyudMmzatrLiFUOHbu3dvDh8+TGZmJklJSWVXe3fu3InX68XpdJY9/49//GOlr1v6nqUZREQaAxW4IiJhLjc3F4CEhIQqn9O5c+cK20oLXr/fD4Suxg4cOJCVK1dyxRVXMHr0aEaMGEFKSkqVr126PScn50IOQUSkQWkVBRGRMHf27FkAmjVrVuVzfng1tioOh4MFCxbw3//937Rr14733nuPhx56iNTUVH79619z/PjxCvs0b968XAYRkcZAV3BFRMJcaWF79uzZn7yKWx1Op5Pp06czffp08vPz2bp1K8uWLWPVqlUcPXqUZcuWYbf/+1dDQUFBuQwiIo2BruCKiIS5li1bAv9uVagrcXFxjB8/nrlz53L11Vezb98+9u/fX+45eXl55TKIiDQGKnBFRMJI6U0cSkpKyrZ16tQJgEOHDl3Qaz///POMHTuW06dPV3istMWh9ItopUrfszSDiEhjoBYFEZEw0qFDBwA+/PBD4uPjadeuHampqcyfP5+NGzdy5ZVX1vq1hw8fziuvvMJNN93EjTfeSMeOHfF6vezYsYMPPviAkSNH0q1bt3L7rF+/HofDwfDhwy/ouEREGpIKXBGRMDJ48GBuu+02PvzwQ1599VUmT57Mb37zG6Kjo/nyyy8v6LWHDRvGW2+9xVtvvcWSJUvIzc0lOjqapKQkHn30UW655ZZyz8/IyODQoUOkpKToJg8i0qjoVr0iIo3Ak08+yYIFC5g3bx6XXXZZg7znn//8Z15//XVeeuklxo4d2yDvKSJSF1Tgiog0Arm5uUyYMKFsea/SXt36cvLkSSZMmED//v1ZsGBBvb6XiEhd05fMREQagYSEBH7/+9+zZ88e/v73v9frexmGweOPP47dbuepp56q1/cSEakP6sEVEWkkrr76atLT05kzZw79+vVj1KhR9fI+zz33HFu2bOGll14q+9KbiEhjohYFEREREYkoalEQERERkYiiAldEREREIooKXBERERGJKCpwRURERCSiqMAVERERkYiiAldEREREIooKXBERERGJKCpwRURERCSiqMAVERERkYjy/wGijJCfLZZN6wAAAABJRU5ErkJggg==", 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" ] @@ -380,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 17, "id": "2fabc78f", "metadata": { "tags": [ @@ -391,23 +211,12 @@ { "data": { "text/plain": [ - " f ... ft_mz\n", - "0 0.000000e+00 ... 168.841749+ 0.000000j\n", - "1 1.000000e+10 ... -18.166086+ 16.032844j\n", - "2 2.000000e+10 ... -7.088546+ 13.908290j\n", - "3 3.000000e+10 ... -3.313478+ 10.167120j\n", - "4 4.000000e+10 ... -1.989068+ 7.739360j\n", - ".. ... ... ...\n", - "96 9.600000e+11 ... -0.494394+ 0.030759j\n", - "97 9.700000e+11 ... -0.494385+ 0.023056j\n", - "98 9.800000e+11 ... -0.494378+ 0.015364j\n", - "99 9.900000e+11 ... -0.494374+ 0.007680j\n", - "100 1.000000e+12 ... -0.494373+ 0.000000j\n", - "\n", - "[101 rows x 4 columns]" + " f ft_mx ft_my ft_mz\n", + "0 0.000000e+00 1.0+0.0j 1.000000+0.000000j 1.000000+0.000000j\n", + "1 3.333333e+08 1.0+0.0j -0.500000-0.866025j -0.500000+0.866025j" ] }, - "execution_count": 8, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -427,13 +236,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 18, "id": "3433ec91", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -457,32 +266,25 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "id": "8121930d", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - " t mx my mz\n", - "0 5.000000e-13 0.975901 0.217115 0.021888\n", - "1 1.000000e-12 0.904810 0.423562 0.043754\n", - "2 1.500000e-12 0.790286 0.609218 0.065579\n", - "3 2.000000e-12 0.638055 0.765021 0.087341\n", - "4 2.500000e-12 0.455710 0.883427 0.109020\n", - ".. ... ... ... ...\n", - "195 9.800000e-11 0.013011 -0.024099 0.999625\n", - "196 9.850000e-11 0.017545 -0.020251 0.999641\n", - "197 9.900000e-11 0.021059 -0.015612 0.999656\n", - "198 9.950000e-11 0.023428 -0.010435 0.999671\n", - "199 1.000000e-10 0.024591 -0.004988 0.999685\n", - "\n", - "[200 rows x 4 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" + "ename": "ValueError", + "evalue": "Length of values (2) does not match length of index (3)", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mValueError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[19]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m ifft_table = \u001b[43mfft_table\u001b[49m\u001b[43m.\u001b[49m\u001b[43mirfft\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2\u001b[39m ifft_table\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/repos/ubermag-devtools/repos/ubermagtable/ubermagtable/table.py:364\u001b[39m, in \u001b[36mTable.irfft\u001b[39m\u001b[34m(self, x, y)\u001b[39m\n\u001b[32m 362\u001b[39m cols.append(i[\u001b[32m3\u001b[39m:]) \u001b[38;5;66;03m# remove leading 'ft_'\u001b[39;00m\n\u001b[32m 363\u001b[39m units[i[\u001b[32m3\u001b[39m:]] = \u001b[38;5;28mself\u001b[39m.units[i][\u001b[32m1\u001b[39m:-\u001b[32m4\u001b[39m] \u001b[38;5;66;03m# remove '()^-1'\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m364\u001b[39m \u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43mcols\u001b[49m\u001b[43m[\u001b[49m\u001b[43m-\u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m = np.fft.irfft(\u001b[38;5;28mself\u001b[39m.data[i])\n\u001b[32m 366\u001b[39m attributes = \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mself\u001b[39m.attributes) \u001b[38;5;66;03m# to explicitly copy\u001b[39;00m\n\u001b[32m 367\u001b[39m attributes[\u001b[33m\"\u001b[39m\u001b[33mrealspace_x\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:4311\u001b[39m, in \u001b[36mDataFrame.__setitem__\u001b[39m\u001b[34m(self, key, value)\u001b[39m\n\u001b[32m 4308\u001b[39m \u001b[38;5;28mself\u001b[39m._setitem_array([key], value)\n\u001b[32m 4309\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 4310\u001b[39m \u001b[38;5;66;03m# set column\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m4311\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_set_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:4524\u001b[39m, in \u001b[36mDataFrame._set_item\u001b[39m\u001b[34m(self, key, value)\u001b[39m\n\u001b[32m 4514\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_set_item\u001b[39m(\u001b[38;5;28mself\u001b[39m, key, value) -> \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 4515\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 4516\u001b[39m \u001b[33;03m Add series to DataFrame in specified column.\u001b[39;00m\n\u001b[32m 4517\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 4522\u001b[39m \u001b[33;03m ensure homogeneity.\u001b[39;00m\n\u001b[32m 4523\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m4524\u001b[39m value, refs = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sanitize_column\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 4526\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[32m 4527\u001b[39m key \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.columns\n\u001b[32m 4528\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m value.ndim == \u001b[32m1\u001b[39m\n\u001b[32m 4529\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(value.dtype, ExtensionDtype)\n\u001b[32m 4530\u001b[39m ):\n\u001b[32m 4531\u001b[39m \u001b[38;5;66;03m# broadcast across multiple columns if necessary\u001b[39;00m\n\u001b[32m 4532\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m.columns.is_unique \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.columns, MultiIndex):\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:5266\u001b[39m, in \u001b[36mDataFrame._sanitize_column\u001b[39m\u001b[34m(self, value)\u001b[39m\n\u001b[32m 5263\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _reindex_for_setitem(value, \u001b[38;5;28mself\u001b[39m.index)\n\u001b[32m 5265\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_list_like(value):\n\u001b[32m-> \u001b[39m\u001b[32m5266\u001b[39m \u001b[43mcom\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequire_length_match\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 5267\u001b[39m arr = sanitize_array(value, \u001b[38;5;28mself\u001b[39m.index, copy=\u001b[38;5;28;01mTrue\u001b[39;00m, allow_2d=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 5268\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[32m 5269\u001b[39m \u001b[38;5;28misinstance\u001b[39m(value, Index)\n\u001b[32m 5270\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m value.dtype == \u001b[33m\"\u001b[39m\u001b[33mobject\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 5273\u001b[39m \u001b[38;5;66;03m# TODO: Remove kludge in sanitize_array for string mode when enforcing\u001b[39;00m\n\u001b[32m 5274\u001b[39m \u001b[38;5;66;03m# this deprecation\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/common.py:573\u001b[39m, in \u001b[36mrequire_length_match\u001b[39m\u001b[34m(data, index)\u001b[39m\n\u001b[32m 569\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 570\u001b[39m \u001b[33;03mCheck the length of data matches the length of the index.\u001b[39;00m\n\u001b[32m 571\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 572\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(data) != \u001b[38;5;28mlen\u001b[39m(index):\n\u001b[32m--> \u001b[39m\u001b[32m573\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 574\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mLength of values \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 575\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m) \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 576\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mdoes not match length of index \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 577\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(index)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m)\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 578\u001b[39m )\n", + "\u001b[31mValueError\u001b[39m: Length of values (2) does not match length of index (3)" + ] } ], "source": [ @@ -492,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "id": "202473ed", "metadata": {}, "outputs": [ From 5af74b3143017866cd8cb570ebc2e42b6cea7930 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Fri, 12 Jun 2026 08:31:51 +0200 Subject: [PATCH 21/33] Table example: periodic data --- docs/table-fft.ipynb | 179 ++++++++++++++++++++++++++++++++++--------- 1 file changed, 144 insertions(+), 35 deletions(-) diff --git a/docs/table-fft.ipynb b/docs/table-fft.ipynb index 5e148b0..03cdc46 100644 --- a/docs/table-fft.ipynb +++ b/docs/table-fft.ipynb @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 1, "id": "db01a9c1-2936-44dd-8579-9737be7f0e68", "metadata": {}, "outputs": [], @@ -77,17 +77,17 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 2, "id": "87d717eb-1e3a-47f7-992c-317482b23151", "metadata": {}, "outputs": [], "source": [ - "table = ut.sample_data()" + "table = ut.sample_data() << ut.sample_data() << ut.sample_data() << ut.sample_data()" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 3, "id": "f78b26a0-8cf1-4457-8485-339c727db402", "metadata": {}, "outputs": [ @@ -140,18 +140,90 @@ " 0\n", " 1\n", " \n", + " \n", + " 3\n", + " 4.000000e-09\n", + " 1\n", + " 0\n", + " 0\n", + " \n", + " \n", + " 4\n", + " 5.000000e-09\n", + " 0\n", + " 1\n", + " 0\n", + " \n", + " \n", + " 5\n", + " 6.000000e-09\n", + " 0\n", + " 0\n", + " 1\n", + " \n", + " \n", + " 6\n", + " 7.000000e-09\n", + " 1\n", + " 0\n", + " 0\n", + " \n", + " \n", + " 7\n", + " 8.000000e-09\n", + " 0\n", + " 1\n", + " 0\n", + " \n", + " \n", + " 8\n", + " 9.000000e-09\n", + " 0\n", + " 0\n", + " 1\n", + " \n", + " \n", + " 9\n", + " 1.000000e-08\n", + " 1\n", + " 0\n", + " 0\n", + " \n", + " \n", + " 10\n", + " 1.100000e-08\n", + " 0\n", + " 1\n", + " 0\n", + " \n", + " \n", + " 11\n", + " 1.200000e-08\n", + " 0\n", + " 0\n", + " 1\n", + " \n", " \n", "\n", "" ], "text/plain": [ - " t mx my mz\n", - "0 1.000000e-09 1 0 0\n", - "1 2.000000e-09 0 1 0\n", - "2 3.000000e-09 0 0 1" + " t mx my mz\n", + "0 1.000000e-09 1 0 0\n", + "1 2.000000e-09 0 1 0\n", + "2 3.000000e-09 0 0 1\n", + "3 4.000000e-09 1 0 0\n", + "4 5.000000e-09 0 1 0\n", + "5 6.000000e-09 0 0 1\n", + "6 7.000000e-09 1 0 0\n", + "7 8.000000e-09 0 1 0\n", + "8 9.000000e-09 0 0 1\n", + "9 1.000000e-08 1 0 0\n", + "10 1.100000e-08 0 1 0\n", + "11 1.200000e-08 0 0 1" ] }, - "execution_count": 15, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -170,13 +242,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 4, "id": "858de4db", "metadata": {}, "outputs": [ { "data": { - "image/png": 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YW3YFwLN/Bb5LRxUnEkLcq/NVF1l2cjUA7RLa8FDLQYoTNS4ZcMPAuEFtaZYaA8CCNccovlqrOJEQ4l44t8xHry0HwDF4Gpo9RnGir7teVbBFATq162eie2WjGSFChc/vY87hBfh0H1aTlam5k8K2mnBNeH93EcJqMTFjbC4mTcPl9jF7+RH8UlUQIiR4Tu3Ce2wrANYOD2Jp9YDiRLdmiknCMeA5APTyIlx5SxQnEkLcrc9Pr+FclfEK77j2o0mPTlOcqPHJgBsm2jaNZ0x/Y1WF/NNlrN9zXnEiIcSd+J2VuDa+A4AWk4y9rusarCxZAzC36gaA5+AqvBcL1AYSQtzR2coLfH7qCwDaJ7RlSIsBihMFhgy4YeSxAW1pkWa8tLlw7XEuS1VBiKDm2jwPvbYCqKsm2KIVJ/pmRlXhRbDHAHWrKnikqiBEsPL6vczNX4Bf92MzWcN61YQbRcZ3GSGMqkJHo6rg8TF7ab5UFYQIUp4TO/Ae3w4Y681aWnZRnOjumKITr6/Pq1dcxpW3SHEiIcTtfH7qC85XGevkj8scQ1p0iuJEgSMDbphp3SSORwcYqyoUnL3Kml3nFCcSQtzIX1uBa9McALTYlOs7hoUKS2Z/LG16AOA5tBrvhXzFiYQQNzpTcY4Vp9cCkJXYjsHN+ytOFFgy4IahRwe0oWW6sUD84vXHKSqrUZxICPFVrs1z0Z2VADgGT0ezRSlOdG80TcM+6AU0u/E841z/FrpHNpoRIlh4/F7m5i80qglmG89FUDXhmsj6biOExWysqmA2abg9ft6SqoIQQcNzPA/viR0AWHMfwtKik+JE9WOKTsA+sG5VhcoruLYvVJxICHHN8pOruVB9CYAJmWNJjUpWnCjwZMANU60y4nhsYBsAjp4rZ/VOqSoIoZq/pvzLakJcKva+TylOdH8s7ftiadsLAM/hNXjPH1acSAhxuuIsK+uqCTlJWQxq1k9xIjVkwA1jY/q1pnVGHABL1h/nUqlUFYRQRdd1XJvmoLuqAHAMmRFy1YQbGVWF59EcxvOMc/0sdLes3iKEKh6fhzmHF6Cj4zDbeTbnSTRNUx1LCRlww9hXqwoeb11VwS9VBSFU8B7fhvfULgCsnR7G0ixXcaKGYYqKxz5oKgB6VQmubQsUJxIici09uYpLNZcBmJD5KClRSYoTqSMDbphrkR7LuEFtATh2vpyVO84qTiRE5PHXXMW5eR4AWlwa9j6hXU24kbVdHyzt+gDgObIO77mDihMJEXlOlp9m9Zn1AOQmZzOgWR/FidSSATcCjO7XijZNjJcQP9hwgosl1YoTCRE5dF3HueFtcBl/7xxDX0Kz2tWGagT2QVPRouKBulUV3FKJEiJQ3D4Pc/MX1lUTHEyJ4GrCNTLgRgCzycSMRztiMWt4fX5mfpaPz+9XHUuIiOA9ugXfmb0AWDuPwNK0g9pAjcTkiMM+6AUA9OpSXFvfV5xIiMjx2YkVFNVcAWBi1mMkORLVBgoCMuBGiOapMYx/sB0AJy9WsCJPqgpCNDZ/dRnOLfMB0OIzsPd5UnGixmVt2xNLpvGObU/BBrxn9itOJET4O371FGvObgSgY0oH+jftpThRcJABN4I80qcl7ZoZLyF+tPEE54ulqiBEY9F1HefGt8FdA2hGNcESftWEGzkGPIcWlQCAc+NsdJc8zwjRWNw+N/PqqglRFqkmfJUMuBHEbDJWVbCYTXh9OrM+OyxVBSEaibdwE74z+wCwdhmJpUmW4kSBoTlicTz4IgB6dRnOre+pDSREGPvkxOdcri0GYFLWOBLtCYoTBQ8ZcCNM05QYJgw2qgqnLlWyfNsZxYmECD/+qlKcW94FQEtogr33RMWJAsvSpjuWrAGAMeh7T+9VG0iIMHS07ATrzm4GoEtqLn2a9FCcKLjIgBuBRvZuSWZz47e8jzed5NzlKsWJhAgfxqoJb4GnFjSNqKEvoVlsqmMFnGPAFLToRACcG99Gd8rzjBANxfWVakK0JYpnOkyUasINZMCNQCaTxvSxuVgtJnx+nVlL8/H6pKogREPwFGzAV7cOrK3raMwZmYoTqaHZY3AMfhEAvebq9TfbCSHu38fHl1PsLAVgUvY4EuzxihMFHxlwI1ST5GgmDmkPwOmiSpZtO604kRChz19Vgquuc2pKbIat53i1gRSztOqGJXsQAN5jW/Gc2q04kRChr7DsOOvPGdWEB1I70Tuju+JEwUkG3Ag2vFcLslsYVYVPN5/iTFGl4kRChC5d13Gufws8TtCurZoQedWEGzn6P4MWY2wX6pKqghD3xel1MS9/IQAx1miezpkg1YTbkAE3gpk0jWljc7FJVUGI++bJX4fv/CEAbA+MxZzeTnGi4GBUFaYBoNdWXN+yWAhx7z46vowSZxkAT2WPJ94WpzhR8JIBN8JlJEXz5FCjqnD2chWfbTmlNpAQIchfeQXX9gUAmJKaY+s5TnGi4GJp2RVrzmAAvMe34Tm5U3EiIULPkdKjbDy/FYBuaV3omf6A4kTBTQZcwbCeLejQMhGApVtPc/qSVBWEuFu67v9KNcGEY+i30MxW1bGCjr3fM2gxyQC4Nr6Dv7ZCcSIhQket18m8/EUAxFpjeLrDE1JNuAMZcMX1qoLdaq6rKhzG45WqghB3w3N4Lb4L+QDYuo3FnNZGbaAgpdmicAyZDoDurMQlVQUh7tqHx5ZS5roKwOQOTxBni1UbKATIgCsASE+M4qmHjKrCuSvVfLrlpOJEQgQ/f8XlL6sJyS2x9ZBqwjextOiMNXcoAN4TeXiO56kNJEQIyC8pZPOF7QD0TH+AHuldFScKDTLgiuuGdG9Obmvj3c7Ltp7h5EV5CVGI2zGqCbPA6wbNbKyaYLaojhX07H0no8WmAODaPFeqCkJ8g1pvLfOOGNWEOGssT2WPVxsohMiAK64zaRrTRudgt5nx68aqClJVEOLWPIe+wHexAABbj8cwp7ZWnCg0GFWFGUBdVWHTHHRdV5xKiOD0wdHPuOoqB+DpnAnE2mIUJwodMuCKr0lNjGLyMGPnpQvF1Xy8SaoKQtzIX16Ea7txVcWU0gpb90cVJwotluYdsXYcBoD35E68x7crTiRE8DlUcoQtF3cA0CujG93SOitOFFpkwBU3GfJAMzq1MaoKy7ef5viFcsWJhAgeut+Pc91M8LnBVFdNMEk14V7Z+z6FFpcGgHPzXPw1V9UGEiKI1HhqmJ+/GIB4WxyTsqXff69kwBU30TSNF0fn4rCZ0XV4a2k+bo9PdSwhgoLn4Cp8RUcBsPUYhzmlleJEoUmzOq5XFXBV49r4jlQVhKiz+OinlLuNfvozHSYQa5Vqwr2SAVfcUkqCg6cfzgLgYkkNH22UqoIQ/qsXce0wrqqYUttg6zZGcaLQZmmWg7XzCAC8p/fgPbZVcSIh1DtQfJjtl3YB0KdJD7qmdVKcKDTJgCtu68GuTenczliYfUXeGY6dk6qCiFy630/t+lng84DJItWEBmLv/SRafAYAzi3z8VeXKU4khDrVnhreO7IEgARbHJOyHlecKHTJgCtuS9M0XhyVQ5Tdgg7MWnoYl1QVRITyHFiBv+gYALae4zEnt1CcKDxoVjuOoTMADVzVODe+LVUFEbEWFX5CudvYTfTZnCeJtkYrThS6ZMAV3yg53sGzw42qQlFZLR9uOKE4kRCB5yu7gGuncVXFlNYW2wOjFScKL5Ym2Vi7jATAd2Yf3qObFScSIvD2XTnIjqLdAPRr2ovOqbmKE4U2GXDFHQ3o3ISu7Y2F2VftOEvh2atqAwkRQLrfV7dqghfM16oJZtWxwo699wS0hCaAVBVE5KnyVPNewQcAJNoTmJj5mOJEoU8GXHFHmqbxwqgcouuqCm8ty8fllqqCiAzu/Z/jv2K8cmHvNQFzUnPFicKTZrETNfQl0DRw1+LcMFuqCiJiLCr8mEp3FXCtmhClOFHokwFX3JWkODtTRmQDcLmsliXrjytOJETj85Wex73zQwBM6e2xdhmlOFF4M2dkYu3yCAC+s/vxFmxUnEiIxrfn8gF2Fu0FYEDTPnRK6aA2UJiQAVfctX6dMuielQrA6l3nKDgjLyGK8KX7vTjX/R38XjBbiRr6EppJnjIbm73XBEyJTQFwbn0Pf1WJ4kRCNJ5KdxXv11UTkuyJTMiSXREbijxbi7umaRrPP9KBGIexNNKspfk43V7FqYRoHO69y/AXnwLA3nvi9aFLNC7NYsNxrargqcW5/i2pKoiwtaDwI6o81QBMyX2SKItDcaLwIQOuuCcJsXamjDSqCsXlThatk6qCCD++krO4d38MgDkjC2vnkYoTRRZzentsDxibaPjOH8JzZL3iREI0vF1F+9hzeT8Ag5r1JTc5W3Gi8CIDrrhnfXMz6Jlt7CG/dvd58k+VKk4kRMMxqgkzwe8Dsw3H0BlSTVDA1nM8pro39Lm2vY+/slhxIiEaToW7kgWFRr8/2ZHEE5ljFScKP/KsLe6ZpmlMfaQDsVFWAN5adoRal1QVRHhw71mKv+Q0APY+T2KqW7pKBJZmttZVFUzgceJcPwtd96uOJcR903Wd9ws+pNpTA8BzOZNwSDWhwcmAK+olPsbG1EeMd3qWVDhZtPaY4kRC3D9f8Wncuz8BwNwkG2vn4YoTRTZzWlts3YwrW74L+Xjy16kNJEQD2FW0l31XDgIwuPkAOiRnKk4UnmTAFfXWOyedXjnpAKzbe4FDJ6WqIEKX7qurJug+qHujk6bJU6Rqth6PY6rbFtm1bQH+iiuKEwlRf+WuShYWGv3+FEcy49rLroiNRZ69xX15bmQ2cdFGVWH28nypKoiQ5d7zKf7SswDY+z6FKT5dcSIBX60qmMHrkqqCCFlGNeEDqr1GNWFq7iQcFrviVOFLBlxxX+KjbUwdaVQVSitcLFhzVHEiIe6dr/gU7j2fAmBumoO14zDFicRXmVPbYOturA/qu3gEz6E1ihMJce92FO1hf/EhAIa2GEhWUnvFicJbUA64BQUFvPzyy/Tq1Yvu3bszZcoUduzY8Y238fv9LFy4kAkTJtCzZ0/69OnD5MmT+fjjjwOUOnL1ykmnb8cMADbsu8iBE7Iwuwgdus+Dc+1M0P1gseMYMkOqCUHI1v0xTCktAXDlLcRfXqQ4kRB376qr/Ho1IS0qhcelmtDogu5Z/OzZs0yZMoXS0lL++Mc/8vrrrxMTE8O0adPYv3//bW/3pz/9iV/+8pf06NGD//3f/+V//ud/aNu2Lf/0T//Em2++GcDvIDJNGZFNfIwNgLeXH6HG6VGcSIi74971Mf6ycwDY+03GFJ+mOJG4Fc1swTH0W3VVBbdUFUTI0HWd944sodZbi4bGc7lPYTfbVMcKe0E34L7++uv4fD7efPNNhg0bRv/+/XnttddIS0vj1Vdfve3tFi1aRPfu3fnFL35Bv379GDBgAP/5n/9Jy5YtWbJkSQC/g8gUG2XlhbpVFcoqXbz/hayqIIKf7/IJ3PuWAmBu3glr7kOKE4lvYk5pha3n4wD4LhXiObhKcSIh7mz7pV0cLDkCwEMtB5GZ2FZxosgQVAOurut88cUXDBgwgOTk5Osft9lsDB8+nLy8PMrLy295W7vdjt3+9bK2pmlERUURFRXVqLmFoXt2Gv07GVWFTQcusu+YLMwugpfudeNcPxN0HawOHIOnoWma6ljiDmzdxmJKbQ2AK28J/quXFCcS4vbKnFdZfNRYejA9OpXH2j2iOFHkCKoB99KlS5SXl5OZefOacFlZWfh8Po4evfWbmKZNm0ZeXh4LFy6kqqqKyspK5s6dy9GjR3nxxRcbObm45pnh2STE1lUVPj9CtVQVRJBy7/oIf9kFAOz9nsYUl6o4kbgbmslirKpgMoPPTe36meh+qSqI4KPrOu8eWUKt14mGxtTcydikmhAwFtUBvurKFWN9w69evb3m2seKi299VfCll14iKiqK3/zmN/zyl78EICoqij/+8Y88/vjjd3V8k0nDZArMFRyz2fS1f4eLxDg708fm8n8X7KO8ys37Xxzl2+M63/Xtw/W8NAQ5N7dWn/PivXQM9/7lAFhadiaq80NhefU2XB8zlvTW+Hs/gXP7YvxFx/AdXoWj292/aSdcz0tDkHNza/U5L5vObedwaQEAI9oMITsl/KoJwfx4CaoB1+12A2C1Wm/63LWPuVyuW9523bp1/OEPf+DRRx9l3LhxeL1elixZwi9+8QtSU1MZMGDAHY+fnBwT8B9y8fHhV58Y1ieGfcdLWbPzLJsPXOKhXq3o27npPd1HOJ6XhiLn5tbu9rz4PS7O11UTNHs0zcb/AEt8bCOnUyscHzOJw57iwpk9uC4ex7l9MSld+mFLbXFP9xGO56WhyLm5tbs9L8XVpSwuNJYebB7XhOd7TcBmvnm2CRfB+HgJqgHXZjMu3Xs8N7+sfW34dThu3q/Z7Xbzi1/8gu7du/Nf//Vf1z8+aNAgJk6cyL//+7+zcuXKOx6/tLQ6oFdw4+OjqKioxecLv5fXJg1tx56Cy5RVuvjror00TXIQF33nl2bC/bzcDzk3t3av56Vmy3t4SoxqQtSAZ6n0RUFZdWPHVCLcHzP2IS/hWvhLdJ+Hix/9hbgnfolmuvOVpHA/L/dDzs2t3ct50XWdv+5+5yvVhElUV7ipxh2gtIGj6vGSlBRzx68JqgE3I8N4g1Jp6c1bvpaUGGurpqffvLvQiRMnuHLlCi+88MLXPq5pGn369GH27NkUFxeTmvrNHTu/X8fv1+sbv158Pj9eb/g9idgtZl4YlcP/LDKqCnM/L+Dlxzvd9e3D9bw0BDk3t3Y358V36SiuvZ8DYG7ZFVPmwIg4l2H7mIlviq3XE7jzFuErOk7N7mXYu42565uH7XlpAHJubu1uzsum89vILykEYETrobSMbRn25zIYHy9BVZrIyMggJSWFgoKCmz6Xn5+P1WolKyvrps9du7r7TVd+vV7ZQjbQurZP4cGuRjVh2+EidhVcVpxIRDLd66J2/UxAB1uUrJoQJmxdR2FKbweAe+cH+MrOK04kIllJbSkfHPsMgKYxGYxpO0JxosgVVAMuwMiRI9myZcv1N5wB1NTUsHr1agYNGkRs7M1dufbt22O329m6devXPq7rOjt27CA1NfX61WERWJOHZZEUZyzfNndFAZU14fcSjQgNrrwl6HW7XzkGPIcpJklxItEQNJPZWFXBbAG/F+e6meh+n+pYIgL5dT/zjizG5XNj0kxMzX0KqymoXiiPKEE34L7yyivExMTw7W9/m7Vr17J582ZeeeUVampq+PGPfwxAXl4eHTt2ZMGCBQDExMTwrW99i7y8PP75n/+ZjRs3smHDBv7xH/+RwsJCfvjDH8qVGkWiHRamjckBoKLGw/xVhYoTiUjkvVhwfVMAc6tuWLLu/KZTETrMic2w954IgP/KSdz7lilOJCLRpvPbKSwzNjka2WooreNbKk4U2YJuwM3IyGD+/Pmkp6fz05/+lO9///tomsacOXPIzs4GjCuzPp8P/1fWPvzBD37A7373OwoLC/nud7/LD37wA86fP8///b//l8mTJ6v6dgTQuW0KQ7o1AyAv/zI7jkhVQQSO7nHhXD8L0MEeg2Pwi/ILbxiydn4EU4axhrp710f4Ss8qTiQiSXFtCR8eN3ZFbBbThFFthytOJILy2nm7du144403bvv5vn373rKnO2nSJCZNmtSY0UQ9PfVQJgdPlFJS4WTuigI6tEwkPkYWvBaNz5W3CL3C+KXKMWAKpuhEtYFEo9BMJqKGvET1kl+Cz4Nz3Uyix/8STV4iFo3Mr/uZl78I97VqQkepJgSDoLuCK8JTlP3LqkJVrYe5KwvQ9cCuWCEij/dCPp5DqwGwtOmBJbO/4kSiMZkSm2Dv8yQA/uLTuPcuVZxIRIIN57Zy9OoJAB5pPYxWcfe2HrNoHDLgioDp2CaZh7o3B2BXwRXy8qWqIBqP7nHWVRNAs8diH/SCVBMigLXzCMxNjDqbe9cn+ErOKE4kwtnlmmI+Om50vpvHNmVUm2GKE4lrZMAVATXpofakJhibdcxbWUB51a13phPifrm2L0SvNLb2tg+aiik6QXEiEQiaZsIxZAZYbKD7jFUVfLJMpGh4RjVhIR6/B5Nm4vncyVikmhA0ZMAVAeWwWZg+JheAaqeXOSukqiAanvf8YTyH1wBgadsLS7s+ihOJQDIlZGDvY7wfw19yBveeTxUnEuFo3bnNHC8/BcCYNsNpEddMbSDxNTLgioDLaZ3Ewz2NjtKeo8VsO1ykOJEIJ7q79stqgiMO+6DnpZoQgaydHsbctAMA7j2f4Ss+pTaQCCtFNVf45PhyAFrGNWdk64cUJxI3kgFXKPHkkPakJ0YB8O6qQq5KVUE0ENe2BehVxtbe9kFTMUXFK04kVPiyqmD/SlXh5t0uhbhXft3P3MML8fi9mDUzU3Ofwmwyq44lbiADrlDCbjMzfWwuGnVVhc+lqiDun/fcQTxH1gFgadcHq1QTIpopPh17P2MddH/pOdy7P1GcSISDNWc3crLiNABj2o6geWxTxYnErciAK5TJbpnI8F7GTi97jxWz5eAlxYlEKNNdNTjXvwWAFhWPfdBUxYlEMLDmDsXczOj9u/cuxXflpOJEIpRdqr7MpydWANAqrgUjWg1RnEjcjgy4QqkJQ9qRkVRXVVh9lNIKp+JEIlTVbHkPvboUAPugFzA54hQnEsHAqCpMB6sDdD/OdX+XqoKoF5/fx+wD7+H1e7FoZp7vOFmqCUFMBlyhlN36ZVWh1uXlraX5UlUQ96zm2G7c+esBsGT2w9q2p+JEIpiY4tKw93saAH/ZBZx5HypOJELRpwWrOVVhbAE9tt1ImsZkKE4kvokMuEK5rBaJjOxjVBX2Hy9hdZ4szC7unt9VzZWlfwNAi0rAMeA5xYlEMLLmDMHcvBMAzr1LcZ4vVJxIhJILVZdYePAzANrEt+LhloMVJxJ3IgOuCApPPNiOJsnRAMz85CAl5VJVEHendvO7+KqMaoLjwRfRHLGKE4lgpGlaXVUhCnSdK5++hu51q44lQoDP7+Ptg+8b1QSTRVZNCBEy4IqgYLOamTE2F02DGqeXWUsPS1VB3JH39F7cRzYCYMseiKVNd8WJRDAzxaZg729UFTwl56nN+0BxIhEKVp1Zz+mKcwCMzxxFk5h0xYnE3ZABVwSN9s0TGNO/NQAHT5SyYd8FxYlEMNOdVTg3vg2AOTaJqEFSTRB3Zu0wGEurrgC49i7Hd+mo4kQimJ2vusiyk6sA6JDSjodbSzUhVMiAK4LKE4Pb0TLDePf7+2uOUVxeqziRCFbOLfPRa64CkDbmFUyOGLWBREjQNI2YodMx2aMBndr1M9G9stGMuJnP72Pu4QX4dB9Wk4VX+j6PSZOxKVTIn5QIKjaLmX94ujsmTcPl9jF72RGpKoibeE7txntsKwC2nAeJzpJVE8TdM8UmkzJyOgB6eRGuHVJVEDdbeXotZ6uMVxLHZ42hWZysmhBKZMAVQSe7VRJjBxhVhfzTZazbK1UF8SXdWYWrrpqgxSQRNfBZtYFESIrtMhRr6wcA8BxYifeSrKogvnS28gLLTq0GoH1CW4a1GqQ4kbhXMuCKoDT+wXY0TzNecl645hhXrkpVQRicm+eh11YA4Bg8DZNdqgni3mmaRvTQ6WAzqgrOdbPQPVJVEOD1e5mbvwC/7sdmsvJc7iSpJoQg+RMTQclqMTFjbK5RVfD4mL0sH79UFSKe58QOvMe3AWDNGYylZVfFiUQoM8Uk4RhovDlRryjCtWOx4kQiGHx+ag3nqy4CMK79GNKjUxUnEvUhA64IWm2axDO2blWFI2eusnb3ecWJhEr+2gpcm+YAoMUkY+/3jOJEIhxYMvtjaW0sL+c5uArvhSOKEwmVzlSeY8XpNQBkJbZjcIv+ihOJ+pIBVwS1xwa2oUWasXD/onXHuFxWoziRUMW1eR66sxIAx5AZaLYoxYlEONA0DfuDL0Bd1cW5fha6RzaaiUQev5e5hxca1QSzTaoJIU7+5ERQs5hNvPRoLmaThtvj562lUlWIRJ7jeXhP5AFgzR2KpUUnxYlEODFFJ+IYOBUAvfIKru2LFCcSKnx+cjUXqi8B8ET7saRGpShOJO6HDLgi6LXKiOOxAW0AKDxXzhc7z6kNJALKX1P+ZTUhNgV738mKE4lwZGnfF0sbY7k5z+Ev8J4/rDiRCKTTFWdZeWYdAB2SMhnUvK/aQOK+yYArQsKY/q1plWFUFZasP05RqVQVIoGu67g2zUF3VQFSTRCN51pVQXMYG804189Cd8vqLZHA4/MwJ9+oJtjNNqbkSDUhHMifoAgJFrOJGWM7GlUFr59Zy/Lx+6WqEO68x7fjPbULAGvHh7E076g4kQhnpqh47IPqqgpVJbi2L1CcSATCslOruVRdBMCEzEdJiUpSnEg0BBlwRchomR7L44PaAnDsXDmrdp5VnEg0Jn/NVZyb5wKgxaVh7ztJcSIRCazt+mBp1xsAT/46vOcOKk4kGtPJ8jOsOr0OgJykLAY2k2pCuJABV4SUMf1a0bqJ8RLiBxtOcLGkWnEi0Rh0Xce18R1wGX++jiEz0KwOxalEpLAPnPqVqsJbUlUIU26fh7n5C9HRcZgdPJc7CU3TVMcSDUQGXBFSzCYTL43NxWLW8HjrVlWQqkLY8R7bivf0HgCsnUdgaZajOJGIJEZV4XkA9OpSXNveU5xINIbPTq6gqOYyABOzHiXJkag2kGhQMuCKkNM8LZZxdVWF4xcqWLHjjOJEoiH5q8twbp4HgBafgb33k4oTiUhkbdcbS/t+AHiObMB7dr/iRKIhnSg/xZozGwHomNyB/k17K04kGpoMuCIkjerbirZN4wH4cMNJzhdLVSEc6LqOc+Pb4K4BNBxDZ6BZ7apjiQjlGPgcWpTxPOPcMBvdJc8z4cDtczP3sFFNiLI4eDZnolQTwpAMuCIkmU0mZozNxWI24fX5eWvpYXx+v+pY4j55j27Gd2YfANYuI7E0yVacSEQyzRGL/cEXAdCry3BufV9tINEgPj2xgsu1xQA8mfW4VBPClAy4ImQ1S41hwuB2AJy8WMnn26WqEMr8VaU4t8wHQEtogr33BMWJhABrmx5YMvsD4C3ciPfMXrWBxH05dvUka89uAqBzSi59m/RUnEg0FhlwRUgb2bsl7ZsbLyF+tPEk565UKU4k6sOoJswGdy1oGlFDX0KzSDVBBAfHgClo0YkAODe8LVWFEOXyua+vmhBlieKZnAlSTQhjMuCKkGYyaUwfk4vVYsLn15m1NB+vT6oKocZbsBHf2QMAWLuMwpyRqTiREF/SHLE4rlUVaq7i3PKu2kCiXj45vpzi2hIAnsoeR6I9QXEi0ZhkwBUhr2lKDBPrqgqnL1WyfNtpxYnEvfBXleDcaizDZEpsir3XE4oTCXEzS+tuWLIHAkZX3Htqj+JE4l4cLTvOunObAeia2oneGd0VJxKNTQZcERaG92pJVgvjt/FPNp/iTFGl4kTibui6jnP9W+AxqgmOoS+hWWyqYwlxS47+z35ZVdj4NrpTKlGhwOl1MTd/EQAxlmie7iDVhEggA64ICyaTxvSxudjqqgpvSVUhJHiOrMd3/hAAtgfGYE5vrziRELen2WNwDJ4OgF5bjnPLPMWJxN34+PgySpylgFFNSLDHKU4kAkEGXBE2MpKimTjUGJDOXK5i6VapKgQzf+UVXNuMZZdMSc2x9RyvNpAQd8HSqivWDoMB8B7bhufkLsWJxDcpKD3GhvNbAeiW1pmeGd3UBhIBIwOuCCsP92xBdstEAD7bcorTl6SqEIx03V9XTXCCZjKqCWar6lhC3BV7/6fRYpIBcG16B79TnmeCkdPrZN4Ro5oQa42RakKEkQFXhBWTZlQV7FZz3aoKh6WqEIQ8+evwXcgHwNZtLOa0tooTCXH3NFs0jiHXqgoVuDbNVZxI3MqHx5ZS6iwDYHKHJ4izxSpOJAJJBlwRdtITo5j0kFFVOHelmk82n1IbSHyNv+Iyrm0LADAlt8DW43HFiYS4d5YWnbHmDAXAeyIPz4k8tYHE1+SXFLLpwnYAeqR3pUd6V8WJRKDJgCvC0tDuzclplQjAsq2nOXmxQm0gAVyrJswCrws0s1QTREiz95uMFpsCgGvTXPy18jwTDGq9tcw/shgwqglPZY9XG0goIQOuCEsmzdgAwm4z49eNVRU8XqkqqOY5tAbfxQIAbN0fxZzaRm0gIe6DZovCMWQGALqzEtemOei6rjiV+ODoUspcVwF4usMEqSZEKBlwRdhKTYxi8kPGjljni6v5ZPNJxYkim7+8CFfeQgBMKS2xdX9McSIh7p+leUesHYcB4D25E69UFZQ6VFLAlovGn0GvjG50T++iOJFQRQZcEdaGdGtGxzZJACzbdpoTF+QlRBW+rCa466oJ30IzW1THEqJB2Ps+hRaXCoBz0xz8NVfVBopQNZ5a3q2rJsTZYpmUPU5xIqGSDLgirGmaxrTRuThsZnQdZi09jMfrUx0r4ngOrsJ3qRAAW8/HMae0UpxIiIajWR3Xqwq4qnFtfEeqCgosOfopV13lADzTYSKx1hjFiYRKMuCKsJeS4ODph7MAuFhSw0cbpaoQSP6rl3DlGVdVTKmtsXUbqziREA3P0iwXa6fhAHhP78F7bKviRJHlYHE+2y7tBKB3Rg8eSOukOJFQTQZcEREe7NqUzm2Nhdk/zzvDsfPlihNFBt3vp3b9TPB5wFS3aoJJqgkiPNn7TEKLTwfAuWW+VBUCpMZTc72akGCLY1K2LD0oZMAVEULTNF4cnUOU3VJXVcjH7ZGqQmPzHFyBv+gYALae4zEnt1ScSIjGo1ntdVUFDVzVODe8LVWFAFh09BPK3cZucs/kTCTGGq04kQgGMuCKiJEc7+CZuqpCUWkNH2w4oThRePNdvYBrxxIATGltsT0wRnEiIRqfpWkHrJ1HAOA7sxfv0S2KE4W3fVcOkXdpNwD9mvSiS2pHxYlEsJABV0SUgV2a0LW9sTD7qh1nKTx7VW2gMKX7/TjXzQSfF0yWumqCWXUsIQLC3mciWkIGAM4t8/BXlylOFJ6qPNW8V2D8Ep1oT2Biliw9KL4kA66IKJqm8cKoHKLtFnTgrWX5uKSq0ODc+z/Hf9m4Qm7rNQFzUnPFiYQIHM1iJ2rIS4AG7lqcG2ZLVaERLCr8mEp3FQDP5kwk2hqlOJEIJjLgioiTFGfn2RFGVeFyWS1L1h9XnCi8+MrO4975AQCm9HbYuo5SnEiIwDM3ycLa9REAfGf34y3cpDhReNl7+QA7i/YCMKBpbzql5KgNJIKODLgiIvXv1IRumcbC7Kt3nqPgjLyE2BB0v8+oJvi9YL5WTZCnGRGZ7L0mYEpoAoBzy7v4q0oUJwoPle4q3iswfolOsicyIetRxYlEMJKfPCIiaZrG86M6EOMwlqx6a1k+LrdUFe6Xe98y/FeMdYbtvSdiTmymOJEQ6mgWG46hL4GmgUeqCg1lYeFHVHmqAZiS8yRRFqkmiJvJgCsiVmKsnSkjsgG4ctXJ4nVSVbgfvtKzuHd9BIApIxNr50fUBhIiCJgzMrF1HQ2A79xBPEfWK04U2nZf3s/uy/sBGNisL7kp2YoTiWAlA66IaH07ZtAjOw2AL3afI/+0VBXqQ/d766oJPjBbiRoi1QQhrrH1HI8pyXg1w7XtffyVxYoThaZKdxULCj4EINmRxIRM2RVR3J78BBIRTdM0pj7SgdgoKwCzl+VT6/IqThV63HuX4i8+DYC9z5OYEpsoTiRE8NAsNhxDXgLNBB4nzg1vSVXhHum6zvsFH36tmuCwOBSnEsFMBlwR8RJibDw30niZq7jcySKpKtwTX/Fp3Ls+AcDcJPv6IvdCiC+Z09td3+zEd/4wnvy1ihOFll2X97H3ygEABjfvT05yluJEItjJgCsE0Cc3g14djKrCuj3nOXSqVHGi0KD7vDjXzwTdBxYbjiEz0DR5WhHiVmw9x2FKagGAa9sC/BVXFCcKDeWuShYWfARAiiOZce1lV0RxZ/KTSIg6zz3Sgbhoo6rwtlQV7op7z6f4S84CYO8zCVPd7k1CiJtpZmvdqgom8Lrqqgp+1bGCmlFN+IBqbw0Az+VOwmGxK04lQoEMuELUiY+2MXVkBwBKKlwsWHNMcaLg5is+hXvPZwCYm3bA2ulhxYmECH7mtDbYuhvrtvou5OM5vEZxouC2o2gP+4sPATCkxUCyk9orTiRChQy4QnxFr5x0+uSmA7Bh3wUOnpCF2W9F93mMVRN0H1jsUk0Q4h7Yuj+OKbklAK7tC/FXXFacKDhddZWzqPBjAFKjUhjXfrTiRCKUyE8kIW4wZUQ28XVVhdnLj1DjlKrCjdy7P8Ffeg4Ae7/JmOLTFScSInRodbv8oZnB68a5bqZUFW6g6zrvHfmAGm8tGhpTc5/CbrapjiVCiAy4QtwgLtrG1EeMfc3LKl28v+ao4kTBxXflJO69SwEwN++INXeo2kBChCBzamtsPR4HwHepEM/B1YoTBZe8S7s5WJIPwNCWA8lMbKs4kQg1MuAKcQs9O6TRr5PxhqlN+y+y/7gszA7Xqgl/B90PVgeOwdOlmiBEPdm6j8WU0hoAV95i/OWXFCcKDldd5Sw6alQT0qNSebzdKMWJRCiSn0xC3Mazw7NJiDFeEnt7+RGqnR7FidRz7/oIf9kFAOz9nsYUl6o4kRChSzPVVRVMZvC5ca6bhe6P7KqCruvMP7KYWq/TqCZ0fAqbVBNEPciAK8RtxEZZeWGUUVW4WuXmvdWRXVXwXT6Oe98yAMzNO2HNGaI4kRChz5zSEluPcQD4io7iObhScSK1tl7cyeGSAgCGtXyQdglt1AYSIUsGXCG+QbesVAZ0Nrad3XLwEnuPRmZVQa97Iwy6DtYoHEOmo2ma6lhChAVbt7GYUtsA4NqxBP/Vi2oDKVLmvMqSo58CkBGdxqPtHlGcSIQyGXCFuINnhmeRGGu8RPbO50eoqo28qoJr54fXf+ja+z+NKTZFcSIhwodmMuMY+i0wWcDnoXbdzIirKlyrJjh9zuurJtjMVtWxRAgLygG3oKCAl19+mV69etG9e3emTJnCjh077ni72tpa/vCHPzB48GC6du3Ko48+yqJFiwKQWISzGIeVF0cbVYXyajfvri5UnCiwfJeO4tn/OQDmll2wdhisOJEQ4cec3Bxbr/EA+C8fx3Pgc7WBAmzLhTzyS43n1uGthtA2obXiRCLUBd2Ae/bsWaZMmUJpaSl//OMfef3114mJiWHatGns37//trfz+/185zvf4eOPP+Yf//EfmTlzJl26dOEXv/gFixcvDuB3IMJR1/apDOraFIBth4rYVRAZe8jrXhe162cCOtiicDw4TaoJQjQSW9fRmNLaAeDa+QG+svOKEwVGSW0ZS44Z1YQmMRmMbTtCcSIRDoJuwH399dfx+Xy8+eabDBs2jP79+/Paa6+RlpbGq6++etvbLV26lG3btvHaa6/xxBNP0KdPH37/+9/Tt2/fbxyMhbhbTw/LIinO2AN97oojVNa4FSdqfK4dH6CXFwHgGDAFU2yy4kRChC+jqvASmC3g8xobQPh9qmM1KqOasAiXz41JM/F87lNYpZogGkBQDbi6rvPFF18wYMAAkpO//EFqs9kYPnw4eXl5lJeX3/K2H3/8MV27dqVHjx7XP6ZpGnPmzOE3v/lNo2cX4S/aYWFaXVWhosbD/FXhXVXwXizAc8B4R7e51QNYsgYqTiRE+DMnNcPeayIA/isnce9brjhR49p0YRsFZccAGNFqKK3jWypOJMKFRXWAr7p06RLl5eVkZmbe9LmsrCx8Ph9Hjx6lV69eN31+3759TJw48b6ObzJpmEyBefnVbDZ97d/CEOznpVt2GkO7N2fdnvPk5V+mT8cr9MnNCMixA3ludI+L6g1vATqaPZrYh6Zjspob/bj1EeyPGZXk3NxasJ8Xc/fReE/twld0DPeuj3C064E5pUVgjh3Ac1NcU8KHx4xdEZvFNuGxrJFYTEH6ZxLkjxlVgvm8BNWAe+WK0Wv86tXba659rLj45mWaKioqqKioID09nTfeeINFixZRVFREeno6EydO5Dvf+Q5m851/OCcnxwS8XxgfHxXQ44WKYD4vrzz5AIdOlXKlrJY5nxfQt0tzEuuqC4EQiHNTvPJ9/HXVhNRHXiKuRWB+uN6PYH7MqCbn5taC+bzEPvFDzs/8qbFE3/pZNH/x92jmwP3Ibuxz49f9/GXvkuvVhB/2n0Z6ckKjHrMhBPNjRqVgPC9BNeC63Uan0Wq9uX9z7WMul+umz9XU1AAwb948cnNz+fWvf43ZbOazzz7jL3/5C8XFxfzqV7+64/FLS6sDegU3Pj6KiopafL7IWg7mm4TKeZk2Ooc/vruHimo3f1mwmx9M7NroxwzUufGcP0LVDmNDB2vbHnia96SsrLrRjne/QuUxo4Kcm1sLifNiSsTR90lqN7+L+9JxLq5ZSFSvcY1+2ECdm7VnNnHoslHzGt12GElaijzPhCBV5yUpKeaOXxNUA67NZqw16vHcvM7oteHX4XDc9DmLxfg2EhMT+etf/4qp7iWO/v37U1RUxIIFC/jBD35wyyvDX+X36/j9+n19D/fK5/Pj9cpflhsF+3nJaZV0vaqwI/8yWw5cDFhVoTHPje5xUr3m78b/2GOwDXwen08HAvv3oj6C/TGjkpybWwv282LOHY75+E58lwpx7vwIU8tumFMC01FtzHNzpaaEDwqNakLz2KaMbDUsqP8cvirYHzOqBON5CarSREaGMSCUlpbe9LmSkhIA0tPTb/pcQkICFouFHj16XB9urxk0aND17q4QDWnS0PakJhi/cM1bWUh5deivquDavgi90qgKOQZOxRSdqDaQEBFMM5lwDJkBZhv4fTjX/R3d71Ud6774dT9z8xfi9nswaSam5k7GYgqqa20iTATdgJuSkkJBQcFNn8vPz8dqtZKVlXXT56xWK5mZmbfs5/p8vutfI0RDirJbmDYmF4CqWg9zVxSg68F/pfN2vOcP4zn8BQCWNj2xtO+rOJEQwpSQgb3vJAD8JWdw7/lMcaL7s/7cFo6XnwRgdJuHaRnXTHEiEa6CasAFGDlyJFu2bLn+hjMwOrarV69m0KBBxMbG3vJ2Y8aMYf369dev9F6zbt06HA4HHTp0aNTcIjLltk7i4R7GG7B2F15h++EixYnqR3fX4lw/CwDNEYf9wRdkQwchgoS108OYmxo/w9y7P8VXfFpxovopqrnCx8eNZc9axjbjkdbDFCcS4SzoBtxXXnmFmJgYvv3tb7N27Vo2b97MK6+8Qk1NDT/+8Y8ByMvLo2PHjixYsOD67aZOnUqTJk2YOnUqy5YtY/PmzfzsZz8jLy+Pl19+mZiYOxeShaiPJ4e2Jy3RqCrMX1XI1aqb3wgZ7FzbF6BXGb8c2gdNxRQVrziREOIaTaurKljsoNdVFXyhVVXw637m5S/E4/dg1sxM7TgZsyk4lx4U4SHoBtyMjAzmz59Peno6P/3pT/n+979/fcOG7OxswNgQwufz4fd/WWiOjo5m7ty5dO3alV//+td8+9vf5vDhw/zqV7/ie9/7nqpvR0QAu83M9LqqQrXTy5zPQ6uq4D13EE/+OgAs7fpgbddHbSAhxE1M8enY+z4FgL/0HO7dHytOdG/Wnt3EiXLjyvOYtsNpHttUcSIR7oKy2d2uXTveeOON236+b9++t+zppqam8l//9V+NGU2IW+rQKonhvVqweuc59h4rZuuhSwzoHPxP4EY14S2grpow8DnFiYQQt2Pt+BDekzvxXcjHvXcpljY9Mae1UR3rji5VX+bTE58D0CquOSNaDVUbSESEoLuCK0SomjikPelJxmLX7646Slll8FcVXNveQ682Vi2xD3peqglCBDGjqjAdrA7Q/XVVhZuX1Qwm11ZN8Pi9WDQzU3OlmiACQwZcIRqI3WpmxthcNKDG5eWdz48EdVXBe3Y/niMbALC074e1XW/FiYQQd2KKS8PedzIA/rLzuHcFd1XhizMbOFVxBoCxbUfSLLaJ4kQiUsiAK0QDymqRyIjexkLs+4+XsPnAJcWJbk13VePcMBsALSoeh1QThAgZ1tyhmJt3AsC9bym+yycUJ7q1i9VFfHZyJQCt41vycKvBihOJSCIDrhANbMLgdmQkRwPw3heFlFY4FSe6mXPr++jVZQDYH3wRzXHr5feEEMFH07SvVBV0nOtmonuDa6MZn9/H3MML8fq9WEwWns99SqoJIqBkwBWigdmsZl4am4umQa3Lx9vLg6uq4D2zF2/hRgAsmf2xtumhOJEQ4l6ZYlOw938GAP/VC7h3faQ20A1Wn1nP6cqzADzW7hGaxARmK3MhrpEBV4hG0L55AqP6tALg4MlSNu6/qDiRwagmvA2AFp2IY8AUtYGEEPVm7TAYc4vOALj3L8dXdExxIsP5qossPbkKgLbxrRnW8kHFiUQkkgFXiEYy/sG2NE0xqgrvf3GUknL1VQXnlvnoNVcBcEg1QYiQpmkajsHTwRYFuk5tEFQVfH4fc/MX4tN9WE0WpnZ8CpMmo0YoGz9+NH/721+ZPfvvPProCEaMeJDf/OaXuFwuZs16k4EDBzJs2IP8/Oc/o6qqinffncNDD/Xn1KmT1+/jzJnTDBs2gLffnhmw3EG5Dq4Q4cBqMTNjbEf+Y+5OnG4fs5fn85PJ3ZRtges9tQfv0S0AWLIHYmndTUkOIUTDMcUm4+j/LM71s9DLL+HasQRHXXVBhZWn13G28jwAj7cbRUZ0mrIswaLG6eViabXqGDRNjiHace9jn8ViYcOGtQwZMoy//W0WW7du4i9/eZVLly7SpUsX5s2bx/btu/jVr35OVlYHnn9+Ops2beBPf/o9r732Jpqm8ec//xeZmdlMnTqtEb6z2+QO2JGEiEDtmsUzpl9rlm49zeFTZazfe4Gh3ZsHPIfurMK58W2grprQ/9mAZxBCNA5L9iDMJ3bgO7sfz4GVWNr2wtIkK+A5zlVeYPmp1QC0T2jD0JaDAp4h2NQ4vfzT37ZQ41K/tXK03cIfXxlQryEX4Dvf+T4ALVo8w9///galpaV8//v/QHJyLImJ6cyePYuCgiOYTCZ+/vN/58UXn+Gzzz7GarVy8OB+Zs+ej9kcuDcayusGQjSyxwe2pXlqDAAL1hzjytXagGdwbpmHXlsOgGPwdDR7TMAzCCEah1FVmAa2aODaqgqB3WjG6/d+pZpg5blcqSaEk8zM7Ov/rWka8fHxZGVlf+0VycTERKqqKgFo3rwF3/3uj/jb3/7Ka6/9D9/5zg9o1apNQDPLFVwhGpnVYmLGo7n87p1duDw+Zi/L56fPdMcUoKqC5+ROvMe2GVk6DMbSqmtAjiuECBxTTBKOAVOM3c0qinDlLQ7om0hXnFrDuaoLAIxrP5r06NSAHTuYRTuMq6ahXFEAcDgcX/t/TdNu+hjwtRWDRo0ay9/+9ld8Pi+jRo2t13Hvx30PuE6nk6KiIjIyMm75zQohoE2TeMb0b81nW05x5MxV1u05z7AeLRr9uH5nJa5NcwDQYpKx93+60Y8phFDDkjUAy8mdeE/vwXNwlVFVaNqh0Y97tvI8n59eA0BmYluGtBjQ6McMJdEOC+2bJaiOEXBvvPFXkpOTsVgs/PWvr/Jv//argB6/3q8fFBYWMmPGDHr16sWoUaM4cODA9c/94he/ID8/v0ECChEuHh/YhhZpxqoFC9ce43IAqgquTXPRaysAcAyZjmaLbvRjCiHU0DQN+4MvQF0FybluJrqncasKXr+XOYcX4Nf92Mw2pko1QQC7d+/kww8X80//9HP+6Z9+zvLln7Fp0/qAZqjXo/DUqVM8/fTTbN68mRYtvn4VqrS0lE8++YQXXniBEyeCc/tAIVSwmE3MGJuL2aTh9vh5a2k+/kbcAMJzIg/viTwArDlDsdStlymECF+m6MTrW2/rlVdw5S1s1OMtP/UFF6qNLcmfaD+G1KiURj2eCH41NdX8/ve/ZuzYcfTo0YuuXbsxbtxE/vjH33P16tWA5ajXgPvGG29gNpt5//33Wbhw4dc6F8nJyXz44Ydomsbf//73BgsqRDho3SSORwe0AaDw7FW+2HWuUY7jr63AtWkuAFpsCvZ+kxvlOEKI4GNp3w9Lm54AeA59gfdC47yierriLCtPrwUgOymTQc37NcpxRGj561//B4/Hw/e+96PrH3vlle9jNpv57//+fcBy1KuDu23bNp5++mm6detGZWXlTZ9v3749Tz/9NJ9++ul9BxQi3Izt35o9hVc4c7mKJeuO07VdChnJDVcd0HUd16Y56E7j76ZjyAw0W1SD3b8QIrhpmoZ90PP4Lhagu6pwrp9FzJO/Q7M23PtkPHWrJvh1P3azjedynpRqQphavPjmWe5WH3vttTdvex8xMbF8+OGyBs11J/V6NBYXF5OZmfmNX5OZmUlxcXG9QgkRzixmE9OvVRW8fmYty8fvb7iqgvdEHt6TOwGwdhyGpXnHBrtvIURoMEUnYB80FQC9shjX9oatKiw7uYqL1UUAPJH5KClRyQ16/0Lcr3oNuDExMZSXl3/j11y8eJHoaHlDixC30iojjscHtgHg2LlyVu882yD366+5ivPaqglxqdj7PtUg9yuECD2Wdn2wtO0FgOfwGrznDjXI/Z6qOMOq0+sAyEnKYlCzvg1yv0I0pHoNuF26dOHDDz/8Wvf2q86cOcM777xD166y3qYQtzO6X2taN4kDYMmGE1wsub91EnVdx7XxHXAZ9+MYMqNBX5IUQoSWa1UFzWE8zzg3vIXuvr/VWzw+D3MOL0RHx2G2MyX3SWXbjwvxTeo14M6YMYMjR44wefJk3nvvPQC2b9/O/Pnz+clPfsLYsWMpKytj+vTpDRpWiHBybVUFi1nD4/Xz1n1WFbzHtuI9vQcAa6fhWJrlNlRUIUSIMkXFYx/0PAB6VQmube/f1/19dnIlRTWXAZiQ9SjJjqT7zihEY6jXgNu/f39+97vfcfToUV599VUA/vd//5ff/e53LF26FIvFwu9+9zv69ZN3VArxTVqkxTJuUFsAjp+vYOWO+lUV/DVXcW6ZD4AWn469z6QGyyiECG3Wdr2xtDdqBJ4j6/GePXCHW9zaifLTfHFmAwC5ydkMaNqnwTIK0dDqvZPZxIkTefjhh1m9ejWFhYXU1NQQGxtLdnY2Dz/8MAkJkbdrhxD1MapvK3YXXuHkxUo+2HCCru1TaJYac9e313Ud54a366oJWl01wd5oeYUQocc+8Dl8F/LRaytwbphNzKTf3dPGL26fh7n5C9DRibI4mJIj1QQR3O5rq97ExESefPLJhsoiREQym0xMH9uRX8/egdfnZ9bSfP5tag/Mprt7gcV7dAu+M3sBsHYeEZCtOYUQocXkiMM+6AWcq/6KXl2Ka+t7OIbMuOvbf3ricy7XGCsjTcx6nCRHYiMlFaJhNOqidR6PpzHvXoiw0Tw1hicGG1WFkxcr+Hz7mbu6nb+6DOeWeQBoCRnY+0xstIxCiNBmbdsTS2Z/ADwFG/Ge2XdXtzt29SRrz24CoHNKDv2a9Gy0jEI0lHpdwc3Nvbs3r2iaxuHDh+tzCCEiziO9W7G74ArHL1Tw8aaTPJCZSou02Nt+vVFNmA3uWkAjashLaBapJgghbs8xYArV5w+j15bXVRX+A81++0qU2+dmXv7CumpCFM/kTJRqgggJ9bqC27Rp01v+k5qaChg/eDt06EDPnvJbnhB3y2TSmD42F6vFhNenM2tpPl6f/7Zf7y3chO/sfgCsXR/B3CQrUFGFECFKc8TiGPwiAHrNVZxb3/3Gr//k+OdcqS0BYFLW4yTa5f01IjTU6wrumjVrbvs5l8vFggULWLBgwfUVFoQQd6dpSgwTBrdjwZpjnL5UyfLtZ3hsQJubvs5fVYJzi/GDyZTQBHuvCQFOKoQIVZbW3bFkDcR7dDPews142/bC0rr7TV93tOw4a88Z1YQuqR3p06RHoKMKUW8N3sG12+08//zzjBo1ij/96U8NffdChL0RvVqS2cK4SvLJppOcvVz1tc9fryZ4akHTcAx9Cc1iUxFVCBGiHAOeRYtOBMC54W1059efZ5xeF/PyFwEQY4nmmQ5STRChpdHeZNa/f382b97cWHcvRNgymTRmjMnFZjHh8+vMWnr4a1UFd/46fOcOAmDrOhpzRqaqqEKIEKXZY3AMngZg9HHr1tG+5sOjSyl2lgIwKXscCfa4gGcU4n402oDrdDqprr6/rUeFiFQZydFMHNIegDNFVSzbehoAT/llajYbuweakpph6zleVUQhRIiztHoAa4cHAWMnRM+pXQAcLCpg3dktADyQ1pleGd1URRRBYPz40fztb39l9uy/8+ijIxgx4kF+85tf4nK5mDXrTQYOHMiwYQ/y85//jKqqKsaNe4T/+I9/v+l+/vSn3zN+/Gh8Pl9Act/XOri34vV6OXHiBK+99hotWrRo6LsXImI83KsFuwouU3iunE+3nKJnhzQy9vw/8DhBM+EYItUEIcT9sfd/Bu+5Q8bauBvfQc9oy9/2zwUgxhrN0x2ekGrCfdLdNfivXlQdA1Ni03va3OMai8XChg1rGTJkGH/72yy2bt3EX/7yKpcuXaRLly7MmzeP7dt38atf/ZysrA6MGfM4ixe/zz/+4z8RHW0cz+v1sm7dFzz++ATMZnNDf2u3zl2fG93tMmH/8i//Up+7F0IAJs1YVeH/vJWH2+Nn+8cLGeE3tti0PTAGc3o7xQmFEKFOs0XjGDyN2uV/Rq+tYOHW/+UKlQBMzn6CeJtUE+6H7q6h6t2fgrtGdRSwRRP77H/Xa8gF+M53vg9AixbP8Pe/v0FpaSnf//4/kJwcS2JiOrNnz6Kg4Ag/+tFPmD//HdauXc3YsY8DsGPHdioqKnj00XEN9u3cSb0G3KZNm972c1arlfT0dEaNGsWzzz5b72BCCEhPimbS0EyWf7GLwb4toIEpuQW2noF7khBChDdLyy5Yc4Zw+PQWttYNtz0zutIz4wHFyUSwyMzMvv7fmqYRHx9PVlb2167uJyYmUlVVSZMmTenbtz/Ll392fcD94ouV9OjRi+bNA/fKfoMvEyaEaFhDuzel+d487D4vPl2j8oEpxJitqmMJIcKIv9d4lriMjZlifDqT24xQnCg8aHVXTUO5ogDgcDi+9v+apt30MTBW+QEYN24i//qvP+H8+XOkpaWzceM6fvrTf63XseurwTu4QoiG5ctfS3PfeQBWObtwYEMFv2zrx2pp1J22hRAR5KMzX3DVbFyNG3+5AvO2JfDwdxWnCg+aLRpzenvVMQKqf/+BpKWls2rV57Rt2x6LxcKQIcMCmuGuBtyPPvqo3gcYP358vW8rRKTzV1zGtX0hALXRTVhZ2gVfbTWfbD55fZUFIYS4H4dLCth8IQ+A7qYEulRfxnM8D3ObXljb91GcToQis9nMY4+NZ82aVbRqdZSRI8dgswX2TdF3NeD+y7/8yz2/i1LXdTRNkwFXiHrSdT/OdTPB6wbNTNrY79JlTTl7j15h2bbT9MhOo23TeNUxhRAhrMZTy/wjiwGIs8Uypfd3oeg/8ZZfxrVpDuamHTBFy/a84t499th43n57JqdPn2L27Pl3vkEDu6sB93vf+54sEyJEgHkOrsZ3qRAAW4/Hsaa14QdPaXzvT2twun3M/Oww/z6tN1ZLYJZcEUKEnyXHPuWqqxyAZzpMIC4mBcej3+Xi/H9Hd1Xh2jQHx4jvywwg7llqahpdu3bD7XbTrl3gNyS6qwH3Bz/4wT3fcU1NDbW1tfd8OyEE+Msv4cozrqqYUlpj6z4WgPTkaJ4Zns3sZflcLKnho00nmTRUdjITQty7g8X5bLu4E4DeGd15IK0zAFFtumDvMhzXgdV4T+3Ce3wb1sz+KqMKhRYv/vSuPvbaa29+7f+Li69w6NBB/u3f/k+jZfsmjfYulZUrVzJx4sTGunshwpbu9+NcNwt8bjCZcTz0Eprpy99Fh3ZvRqe2yQB8vv0Mx8+Xq4oqhAhRNZ4a3j2yBIB4WxyTsr++9GBUv8locWkAODfPw19zNdARRYgqL79KQcER/vVff0r79u0ZNkzNihz1XkXB6XSyatUqzp8/j9fr/drnXC4XK1asoLxcfvAKca88B1fiKzoKgK3HOMzJLb/2eU3TmDY6h1/O2k6ty8espfn8+7Te2KxSVRBC3J3FRz+l3F0BwLM5E4mxfn35KM1qxzH0JWo//U9wVePc8DZRj/xIqgrijmbO/H8sXfox3br14N/+7VeYTGpW/KnXgFtUVMSUKVM4f/789TeTATf999ixYxsuqRARwHf1Aq4dxlUVU2obbN1u/XcoOd7B0w9nMXvZES6V1vDhxhNMHpYVyKhCiBB1oPgw2y/tAqBvk550Se14y6+zNO2AtfMIPAdX4TuzF+/RLVizBwYyqghBP/nJP/OTn/yz6hj1qyj8z//8DxcvXmTChAn8+Mc/Rtd1nnvuOX7yk58wYMAA4uPjee211/jzn//c0HmFCFtfVhM8YLLgGPotNNPtr8oO6tKUru1TAFiZd5Zj5+QVEyHEN6v+SjUhwRbPk1mPf+PX2/s8iRafAYBzy3z81WWNnlGIhlCvAXfLli0888wz/Md//AfPPPMMACNHjuRb3/oWs2bN4le/+hW//e1vKSoqatCwQoQzz4HP8V8+DoCt13jMyc2/8es1TeOFUTlE2S3owKylh3F5fAFIKoQIVYsKP6bCbWzH+2zORKKtUd/49ZrFqCqABu4anBvfvr5blRDBrF4DbklJCV27dgW4Xknw+/3XPz9mzBgGDBjAn/70pwaIKET485Wdx7XzAwBMae2wdR19V7dLirPz7HCjmlBUVssH6080WkYhRGjbe+UgO4r2ANC/aW86p+be1e0sTbKwdhkJgO/MPryFmxotoxANpV4DbmxsLC6XC+D6zhQ3vqGsb9++bNu27T7jCRH+dL/P2NDB5wWzBcfQl76xmnCjAZ2b0C0zFYDVO89ScEZeQhRCfF2Vu5r3jxi/RCfaE5iY9eg93d7eeyJaQhMAnFvexV9V2uAZhWhI9RpwW7Zsyeeffw4YA25SUhKbNn39N7ri4mJqamruP6EQYc69bzn+KycBsPeaiDmp2T3dXtM0nh/VgRiHUVV4a1k+LrdUFYQQX1pY+BGVnioApuQ8SZTlm6sJN9IsNqKGvgSaBp5anBvekqqCCGr1GnAfffRRNm/ezCuvvAJA//79Wbx4Mb/73e9YuXIls2fP5s0336Rdu3YNGlaIcOMrPYd714cAmDIysXZ5pF73kxhr59kR2QBcuepk8frjDZZRCBHadl/ez67L+wAY2KwPHVM61Ot+zBmZWLuMAsB37iCegg0NllGIhlavZcKef/55jh07RnV1NQA//OEP2bx5M/PmzWP+/Pnouo7FYuEf/uEfGjKrEGFF93uNaoLfB2YrUUNmoN3HeoH9Omaw88hl9hwt5otd5+iZnUZO66QGTCyECDWV7ioWFBi/RCfZE3ki896qCTey93oC35m9+K9exLX1PSwtOmOKTWmIqEI0qHoNuMePH+e3v/3t9Q0e2rRpw2effcaHH37IuXPnyMjIYPTo0XIFV4hv4N67DH/xKQDsvZ/ElNj0vu7PqCrkcPTcdqpqPby1LJ/fzOiDw1bv/VyEECFM13XeL/iQKo9xMeq53ElEWRz3dZ+axYZj6Leo+fi34HHiXP8WUWN+KhtAiKBTr598jz76KF26dOGJJ55g7NixJCQkkJaWxssvv9zQ+YQIS76SM7h3fwyAuUk21s4Ns5VhQoyN50Zm88bHhygud7Jo7XGmPlK/lyOFEKFt9+V97L1yAIAHm/cnJ7lhNoMxp7fD9sBY3Hs/w3f+EJ78ddg6PtQg9y1EQ6nX66G9evXi4MGD/Pa3v+XBBx/kRz/6EevXr//aUmFCiFv7ejXBhuM+qwk36p2TTs8Oxh7ya/ec5/ApebezEJGmwl3JgsKPAEhxJDG+/ZgGvX9bz3GYkoy1ul3bF+CvvNKg9y/E/arXT9V58+axbt06fvKTn9CuXTtWrFjBd77zHQYPHswf/vAHCgsLGzqnEGHDvecz/CVnALD3nYQpIaNB71/TNKaO7EBslBWA2cvyqXV5G/QYQojgda2aUO0xVjJ6LncSDou9QY+hma04hn4LNNP1qoKuy0UuETzqfdkoIyODl156iY8++ohly5bxne98h5iYGGbPns24ceOYMGEC8+bNa8isQoQ8X/Fp3Ls/BcDctAPWTg83ynHiY2zXqwklFS4Wrj3WKMcRQgSfnUV72XflIABDWgwgOymzUY5jTmuDrdtYAHwX8vEcXtsoxxFqjR8/mr/97a/Mnv13Hn10BCNGPMhvfvNLXC4Xs2a9ycCBAxk27EF+/vOfUVVVxe7dOxk0qNct/7l48ULAcjfIu0/atWvHj370I370ox9x6NAhVq5cyZIlS/j973/Pc8891xCHECLk6T4vznV/B90HFrtRTdAarppwo9456ezKTScv/zLr916gZ4c0OreVdzsLEc7KXRUsrKsmpDqSGdfA1YQb2XqMw3t6L/7Ss7i2L8DSsgum+PRGPWaoqfXWcqlafYWjSUzaPa9/DGCxWNiwYS1Dhgzjb3+bxdatm/jLX17l0qWLdOnShXnz5rF9+y5+9aufk5XVgSlTXuDjjz+/fvva2lp+8INvk5ycQlpa4B4bDfr26j179rBixQrWrVtHcXExZvPd78YkRLhz7/4Yf+k5AOx9nwrID4EpI7I5crqMihoPs5cd4bcz+hLtkFUVhAhHuq7zXsESary1ADyX+xR2s61Rj6nV7b5Y8+FvwOvGuX4WUY/+c6P+8h5Kar21/HLLf1Fb92eiUpQlit8O+Jd6DbkA3/nO9wFo0eIZ/v73NygtLeX73/8HkpNjSUxMZ/bsWRQUHMFqtZKSknr9dr///a+pqqriL395A4slcD9/7vsRuH//fv7whz/w0EMP8eyzz/L2229jsVj48Y9/zBdffNEQGYUIeb4rJ3HvXQqAuVku1gC94zgu2sbUR3IAKKt0sWDN0YAcVwgReHmXdnOgOB+Ah1oMIispMEt1mlNbY+turK/ru1iA55D87A83mZnZ1/9b0zTi4+PJysr+2vJwiYmJVFVVfu12a9asZtmyT/nHf/wZLVu2ClheqOcV3MOHD7N8+XKWL1/O+fPn0XWd1NRUnn/+ecaNG0fHjh0bOqcQIUv3eYxVE3Q/WB04hkwP6NWNnh3S6Ncxg22Hi9i4/yI9O6TTtb1UFYQIJ1dd5Sw6+gkAaVEpPN5+VECPb+v+GN7Te/CXnMG1fRGWll0b/A20oejaVdNQrigAOBxfXz9Z07SbPgZ8bfvmoqJL/PGP/8HDD49gzJjH6nXc+1GvAXfChAmA8Q2PGTOGcePGMWjQIEwNuNSREOHCvetj/GXnAbD3nYwpLi3gGZ4dkU3+6TLKq928vTyf377UlxiHNeA5hBANT9d13j2yhFpvLRoaU3MnY2vkasKNvqwq/Bp8bpzrZhL12L826BKIoSrKEkXbhMBevVTN7/fz29/+H2JjY/nZz36uJEO9Hnl9+/blP//zP9m8eTN//vOfGTx4sAy3QtyC7/IJ3PvqqgnNO2HNHaokR2yUledHGasqXK1y8/5qqSoIES62XdzJoZIjADzUchDtE9soyWFOaYWtxzgAfEVH8RxcpSSHUG/u3NkcOLCPX/3qd8TGxirJUK+p9J133uGJJ54gJiamofMIETZ0r7tu1QT9K9UEddtZds9Ko3+nJgBsPniJvceKlWURQjSMMudVFh81lh5Mj07lsXaBrSbcyNZtDKbUNgC4dizGf/Wi0jwi8A4fPshbb73JE088SbNmzSkpKb7+j8fjCVgOuewqRCNx7/ro+pO7vf8zmGLV916fHZFFQqzx0uU7nx+hqjZwTzZCiIal6zrzjyzG6XOiofF87mRsZrXVI81kVBUwWcDnoXb9LHTZ5TSibN26GZ/Px+LFCxg3btTX/jlwYF/Acsh6QUI0Al/RMdz7lwNgbtEZa4fBihMZYhxWXhyVw/+3eD/lVW7eW13Itx7rpDqWEKIetlzMI7/U2Dl0eKshtE1orTiRwZzcAlvP8bh3LMZfdAzPgRXYHhitOpaop8WLP72rj7322pvX/3vGjG83aqa7IVdwhWhgutdN7bqZRjXBFoVjsNpqwo0eyExlUJemAGw9VMTuQvXv7hVC3JuS2jI+OPoZAE2i0xnbdoTiRF9ne2A0prS2ALh2LsFXFrgdrIQAGXCFaHCuHUvQyy8B4Oj/LKbYZMWJbvb0w5kkxRl7089ZUSBVBSFCiLFqwmKcPpexakLHp7AqribcSDOZjaqC2QI+L851M9H9PtWxRASRAVeIBuS9VIjnwEoAzK0ewJI9SHGiW4t2WHlxtLEBREW1m/mrChUnEkLcrU0XtnOkzFgJZUTrobSJD84lqMxJzbH1NJYV9V85cb22JUQgyIArRAPRvS6c62YBOtiicTz4YlBVE27UpV0Kgx8wqgrbDxex88hlxYmEEHdSXFvKB8eMakLTmAzGBFk14Ua2rqMwpbcHwL3zI3yl5xUnEpFCBlwhGogrbzF6RREAjgFTMMUkKU50Z5OHZZEcb1QV5q4soKLGrTiREOJ2/Lqf+fmLcPvcmDQTz+dOxmoK7veKayYTUUNfArMV/F6c6/6O7veqjiUigAy4QjQA74Uj1xc1t7TujiVrgOJEdyfKbmHa6FwAKms8zFspVQUhgtXG89sovHocgJGtH6JVfAvFie6OKbEp9t4TAfAXn8K9d5niRCISyIArxH3SPS6c62cZ/2OPwf7gC0FdTbhRp7bJDO3WDICdRy6Tl1+kOJEQ4kbFtSV8dMzYFbF5bFNGt3lYcaJ7Y+08EnNGFgDu3R/jKzmrOJEId0E54BYUFPDyyy/Tq1cvunfvzpQpU9ixY8c93ceOHTvIyclh6tSpjZRSCIMrbyF6pbHUlmPgc5iiE9UGqodJD2WSEu8AYN7KQsqrpaogRLDw637m5i/E7fdg0kxMzX0KS5BXE26kmUw4hs4Asw38vrpVFaSqIBpP0A24Z8+eZcqUKZSWlvLHP/6R119/nZiYGKZNm8b+/fvv6j7cbje//OUv0XW9kdOKSOe9kI/n0BcAWNr0xNK+n+JE9RNltzB9jLGqQlWth7krCuTvjxBBYv25LRy7ehKAUW0epmVcc8WJ6seU0AR7nycB8Jecxr1nqeJEIpwF3YD7+uuv4/P5ePPNNxk2bBj9+/fntddeIy0tjVdfffWu76OyspLOnTs3cloRyXR37fVqgmaPxT7o+ZCqJtwot00yw3oYPzh3F15hu1QVhFDucs0VPj5uLK/VIrYZo1oPU5zo/lg7D8fcJBsA9+5P8BWfVpxIhKugGnB1XeeLL75gwIABJCd/uTi+zWZj+PDh5OXlUV5e/o33UVhYyMyZM/nZz35GdHR0Y0cWEcy1fSF6ZTEA9kHPY4pOUJzo/j05tD2pCUZVYf7KQsqrXIoTCRG5jGrCIjx+D2bNzPMdJ2M2mVXHui+aZjI2gLDYQK+rKvikqiAaXlANuJcuXaK8vJzMzMybPpeVlYXP5+Po0aO3vb3f7+f//J//Q+/evRk/fnwjJhWRznvuEJ78tQBY2vbC2r6P4kQNw2GzMGOssapCtdPLHKkqCKHMurObOFF+CoDRbYbTPLap2kANxBSfjr3PUwD4S8/i3vOJ4kQiHAVVS/3KFeONOl+9envNtY8VFxff9vbvvfce+fn5fPrpp/U6vsmkYTIF5iVms9n0tX8LQyicF91dS/WGtwDQouKIGfoiJkvj5w3UuenULoWRvVuycsdZ9hwtJu/IZQZ2Cd4frKHwmFFFzs2thcJ5uVR9mU9OfA5Aq/gWjGk/DLMpfJ5nzA8Mx3dqF94L+bj3fIa9fS8saW0a9Zj3IxQeMyoE83kJqgHX7TbeuW213ryn9rWPuVy3fsn00qVL/PnPf+Z73/serVrVb9vC5OSYgHco4+OjAnq8UBHM5+XK0jn4q0oASBvzbWKbBXb4C8S5+dYTXTlwspSLxdXMW1lI/weak5IQvH8mENyPGdXk3NxasJ4Xv9/Pf+9ahMfvxWKy8MP+L5KaGB/QDIE4N3FP/IBzb/4Y3ePEuW4mLab/Ec1y88//YBKsjxnVgvG8BNWAa7PZAPB4PDd97trw63A4bnnbX//617Rs2ZLp06fX+/ilpdUBvYIbHx9FRUUtPp8/IMcMBcF+Xjxn9lO1dzUA1sx+eDK6UlZWHZBjB/rcTB+Ty+/n7KS61sP/fXc3P578QFC+iS7YHzMqybm5tWA/LytOruVoibFqwqPtRhCnJ4bp80wsUf2fpmbD23iunOHiqvlE9ZvUyMesn2B/zKii6rwkJcXc8WuCasDNyMgAoLS09KbPlZQYV8zS09Nv+tyKFStYv34977zzDi6X6/pVXp/PB0B1dTVWq/X6AH07fr+O3x/YvqHP58frlb8sNwrG86K7a6hee62aEI9twBQlGQN1bto3i2dEXVVh37FiNuy9ENRVhWB8zAQLOTe3Fozn5VJ1EZ8cXwFA67iWDGsxOKyfZ0wdhmA+nofv/GGcez7D1Ko75vR2jX7c+grGx0wwCMbzElSliYyMDFJSUigoKLjpc/n5+VitVrKysm763Nq1a/H5fDz33HP06NHj+j+7du1i165d9OjRg//3//5fIL4FEcZcW99DrzZ++bIPegGTI05xosb3xOB2ZCQbq5G8u/oopRVOxYmECF8+v485+Qvx1lUTpnZ8KuRXTbgTTdNwDJ4OVgfoOs71M9G9stGMuH9BdQUXYOTIkXzwwQdcuXKFtLQ0AGpqali9ejWDBg0iNjb2ptt85zvf4cknn7zp47/73e8A+MUvfkGzZs0aN7gIa94z+/AUbATAktkfa9ueihMFht1qZsbYXP5z3i5qXV7e/vwI/zgpOKsKQoS6L85s4HSFsYXto21H0jQmQ3GiwDDFpWLv9zSujW/jL7uAe9dH2Ps+pTqWCHFBdQUX4JVXXiEmJoZvf/vbrF27ls2bN/PKK69QU1PDj3/8YwDy8vLo2LEjCxYsAKBNmzb06tXrpn/i4uKIi4ujV69eMuCKetNd1Tg3zAZAi0rAMWCK4kSBldk8gUf6GG/cPHiilI37LypOJET4uVB1iaUnVwLQNr4VD7carDhRYFlzhmBuYWzO5N6/HF/RMcWJRKgLugE3IyOD+fPnk56ezk9/+lO+//3vo2kac+bMITvb2P1E13V8Ph9+f3D1PUR4cm55F73mKgCOwS+iOW5+FSHcPfFgW5qmGFWFBWuOUlIuVQUhGorP72Nu/gK8ug+rycLU3KcwaUH347lRGVWFaWCNMqoK66SqIO5P0FUUANq1a8cbb7xx28/37dv3lj3dG82dO7chY4kI5D29B+/RzQBYsgZiad1dcSI1rBYz08fm8vu5u6h1+Xh7eT4/ntxNqgpCNIBVZ9ZxpvI8AI+1G0VGzM1vpo4EptgUHP2fwbnhLfzll3Dt/ABHv6dVxxIhKrJ+RRTiHujOKpwb3gZAi07EMeBZtYEUa98sgdF9WwNw6FQZ6/ddUJxIiNB3vuoiy04aSw+2S2jDQy0HKU6klqXDg5hbdgXAs38Fvku3371UiG8iA64Qt+HcMh+9thwAx+BpaPY7r7sX7sYNakvzVOM8LFhzjOKrtYoTCRG6fH4fcw4vwKf7sJqsTM2dFHHVhBtdryrYogCd2vUz0b233uBJiG8S2X+ThLgNz8ldeI9tBcDa4UEsrR5QnCg4WC0mpo/NxaRpuNw+Zi8/gl8P7NrRQoSLz0+v4VyV8UrIuPajSY9OU5woOJhiknAMeA4AvbwIV94SxYlEKJIBV4gb+J2VuDa9A4AWk4y9/zOKEwWXtk3jGdPfWFUh/3QZ6/ecV5xIiNBztvICn5/6AoD2CW0Z0mKA4kTBxZI1AHPdhQXPwVV4L975fTdCfJUMuELcwLV5HnptBVBXTbBFK04UfB4b0JYWaUZVYeHa41yWqoIQd83r9zI3fwF+3Y/NZI3IVRPuRNM0HA++CPYYQMe5fha6R6oK4u7J3yghvsJzYgfe49sBY11GS8suihMFJ6vFxIyxHTGbNFweH7OX5ktVQYi79PmpLzhfZawnPT5zLGnRKYoTBSejqmCsO65XXMaVt0hxIhFKZMAVoo6/tgLXpjkAaLEp2GV5mm/UukkcY/sbqyoUnL3Kml3nFCcSIvidqTjHitNrAchObM+DzfspThTcLJn9sbTpAYDn0Gq8F/IVJxKhQgZcIeq4Ns1Bd1YC4Bg8Hc0WpThR8Ht0QBtaphsbXyxef5yishrFiYQIXh6/l7n5C41qgtnGFFk14Y40TcM+6AU0u/E8Y1QVZKMZcWfyN0sIwHM8D+/JnQBYcx/C0qKT4kShwWI2MWNsLmaThtvj5y2pKghxW8tPruZC9SUAJmSOJTUqWXGi0GCKTsA+sG5VhcpiXNsXKk4kQoEMuCLi+WvKv6wmxKVi7/uU4kShpVVGHI8NbAPA0XPlrN4pVQUhbnS64iwr66oJOUlZDGom1YR7YWnfF0vbXgB4Dq/Be/6w4kQi2MmAKyKarutGNcFVBYBjyAypJtTDmH6taZ0RB8CS9ce5VCpVBSGu8fg8zDm8AB0dh9nOszlPyjbX98ioKjyP5jCeZ5zrZ6G7ZfUWcXsy4IqI5j2+De+pXQBYOz2MpVmu4kSh6atVBY/Xz6ylh/H7paogBMDSk6u4VHMZgAmZj5ISlaQ4UWgyRcVjHzQVAL2qBNe2BYoTiWAmA66IWP6aqzg3zwNAi0vD3keqCfejRXos4wa1BeD4+QpW7jirOJEQ6p0sP83qM+sByE3OZkCzPooThTZruz5Y2hnn0HNkHd5zBxUnEsFKBlwRkXRdx7nhbXBVA+AY+hKa1a42VBgY3a8VbZoYLyF+sOEEF0uqFScSQh23z8Pc/IV11QQHU6Sa0CDsg6aiRcUD4Fz/FrpbKlHiZjLgiojkPboF35m9AFg7j8DStIPaQGHCbDIx49GOWMwaXp+fmZ/l4/P7VccSQonPTqygqOYKAE9mPUaSI1FtoDBhcsRhH/QCAHp1Ka6t7ytOJIKRDLgi4viry3BumQ+AFp+Bvc+TihOFl+apMTzxYDsATl6sYEWeVBVE5Dl+9RRrzm4EoFNKDv2a9lKcKLxY2/bEkmmsROEp2ID3zH7FiUSwkQFXRBSjmjAb3DWAZlQTLFJNaGiP9GlFu2bGS4gfbTzB+WKpKojI4fa5mVdXTYiyOHg2Z6JUExqBY8BzaFEJADg3vIXukucZ8SUZcEVE8RZuwnfW+E3f2mUkliZZihOFJ5NJY8bYXCxmE16fzqzPDktVQUSMT058zuXaYgAmZY0j0Z6gOFF40hyxOB58EQC95irOre+pDSSCigy4ImL4q0pxbnkXAC2hCfbeExUnCm9NU2KYMNioKpy6VMnybWcUJxKi8R0tO8G6s5sB6JKaS58mPRQnCm+WNt2xZA0AjAsY3tN71QYSQUMGXBERjGrCW+CpBU0jauhLaBab6lhhb2TvlmQ2N65efbzpJOcuVylOJETjcX2lmhBtieKZDlJNCATHgClo0YkAODe+je6U5xkhA66IEJ6CDfjq1ku0dR2NOSNTcaLIYDJpTB+bi9ViwufXmbn0MF6fVBVEePr4+DKKnaUATMoeR4I9XnGiyKDZY3AMfhGoqyrUvYlYRDYZcEXY81eV4KrrZpkSm2HrOV5toAjTJDmaiUPaA3CmqIpl204rTiREwyssO876c1sAeCC1E70zuitOFFksrbphyR4EgPfYVjynditOJFSTAVeENV3Xca5/CzxO0K6tmiDVhEAb3qsF2S2MqsKnm09xpqhScSIhGo7T62Je/kIAYqzRPJ0zQaoJCjj6P4MWY2yD7JKqQsSTAVeENU/+OnznDwFge2As5vR2ihNFJpOmMW1sLjarUVWYtTRfqgoibHx0fBklzjIAJmePJ94WpzhRZDKqCtMA0Gsrrm/FLiKTDLgibPkrruDaZuxwY0pqjq3nOMWJIltGUjSThhrd57OXq/hsyym1gYRoAEdKj7Lx/FYAuqd1oUf6A4oTRTZLy65YcwYD4D2+Dc+JHYoTCVVkwBVhSdf9xqoJXhdoJhxDv4VmtqqOFfEe6tGcnFaJACzdeprTl6SqIEJXrdfJvPxFAMRaY5jc4QmpJgQBe79n0GKSAXBtmoO/tkJxIqGCDLgiLHkOr8V3IR8AW7exmNPaqA0kAKOq8OKYXOxWc11V4TAer1QVRGj68NhSylxXAZjc4QnibLFqAwkANFsUjiHTAdCdlbikqhCRZMAVYcdfcRnX9gUAmJJbYush1YRgkp4YxVMPGasqnLtSzadbTipOJMS9yy8pZPOF7QD0TH+AHuldFScSX2Vp0Rlr7lAAvCfy8BzPUxtIBJwMuCKs6Lof5/pZ4HWDZjZWTTBbVMcSNxjSvTm5rY13Oy/beoaTF+UlRBE6ar21zDtiVBPirLE8lT1ebSBxS/a+k9FiU4C6qkJNueJEIpBkwBVhxXPoC3wXCwCw9XgMc2prxYnErZg0jWljcrDbzPh1Y1UFj9enOpYQd2XJ0c+46jKGpadzJhBri1GcSNyKUVWYAYDuqsK1aQ66ritOJQJFBlwRNvzll3BtN66qmFJaYev+qOJE4pukJkQxeZixqsKF4mo+3nRKbSAh7sKhkiNsvWi8M79XRje6pXVWnEh8E0vzjlg7DgPAe2oX3uPbFScSgSIDrggLut+Pc90s8LnBVFdNMEk1IdgNeaAZndoYVYXl209z/IK8hCiCV42nhvn5iwGIt8UxKVv6/aHA3vcptLg0AJyb5+Kvuao2kAgIGXBFWPAcXIWv6CgAth7jMKe0UpxI3A1N05g2Jpcouxldh7eW5uP2SFVBBKfFRz+l3G30xZ/pMIFYq1QTQoFmdVyvKuCqxrXxHakqRAAZcEXI81+9iGuHcVXFlNoGW7cxihOJe5Ec7+DpYVkAXCyp4aONsqqCCD4Hig+z/dIuAPo26UnXtE6KE4l7YWmWg7XzCAC8p/fgPbZVcSLR2GTAFSFN9/upXT8LfB4wWaSaEKIGdW1Kl3bGu51X5J3h2DmpKojgUe2p4b0jSwBIsMXzZNZjihOJ+rD3fhItPh0A5+Z5+KvLFCcSjUkGXBHSPAdW4C86BoCt53jMyS0UJxL1oWkaL4zqQJTdgg7MWnoYl1QVRJBYVPgJ5W5j171ncyYSbY1WnEjUh2a111UVNHDX4Nz4tlQVwpgMuCJk+cou4NppXFUxpbXF9sBoxYnE/UiOd/DscKOqUFRWy4cbTihOJATsu3KQHUW7AejXtBedU3MVJxL3w9K0A9YuIwHwndmH9+hmxYlEY5EBV4Qk3e/DuW4m+LxgvlZNMKuOJe7TgM5NeKC9UVVYteMshWevqg0kIlqVp5r3Cj4AINGewMRMqSaEA3vvCWgJTQBwbpmPv6pUcSLRGGTAFSHJvX85/ivGFT57rwmYk5orTiQagqZpPD8qh+i6qsJby/JxuaWqINRYVPgxle4qAKbkPEm0NUpxItEQNIudqKEvgaaBuxbnxtlSVQhDMuCKkOMrPYd750cAmNLbY+0ySm0g0aCS4uxMGZENwOWyWpasP644kYhEey4fYGfRXgAGNO1Dx5QOagOJBmXOyMTa5REAfGcP4CnYoDiRaGgy4IqQovu9RjXB7wWzlaihL6GZ5GEcbvp1yqB7VioAq3edo+CMvNtZBE6lu4r366oJSfZEJmTJrojhyN5rAqbEpgC4tr6Pv6pEcSLRkGQyECHFvXcZ/uJTANh7T7z+5CTCi6ZpPP9IB2IcxpJvs5bm43R7FacSkWJB4UdUeaoBeC53ElEWh+JEojFoFhuOa1UFTy3O9W9JVSGMyIArQoav5Czu3R8DYM7Iwtp5pOJEojElxNqZMtKoKhSXO1m0TqoKovHtKtrHnsv7ARjUrC85yVmKE4nGZE5vj+0BY3Mg3/lDeI6sV5xINBQZcEVI+LKa4AOzDcfQGVJNiAB9czPomW3sIb9293nyT8m7nUXjqXBXsqDwQwCSHUk8kTlWcSIRCLae4zElNQPAte19/JVXFCcSDUEmBBES3HuW4i85DYC9z5OY6pZ4EeFN0zSmPtKB2CgrAG8tO0KtS6oKouHpus77BR9S7akB4LmcSTikmhARNLMVx5CXQDOBx1lXVfCrjiXukwy4Iuj5ik/j3v0JAOYm2Vg7D1ecSARSfIyNqY8Y72AvqXCyaO0xxYlEONpVtJd9Vw4CMLj5ADokZypOJALJnN4OWzfjir3vQj6e/HVqA4n7JgOuCGq6r66aoPug7g0BmiYP20jTOyed3jnGHvLr9l7g0EmpKoiGU+6qZGGh0e9PdSQzrr3sihiJbD0ex1S33btr2wL8FZcVJxL3QyYFEdTcez7BX3oWAHvfpzDFpytOJFSZMjKbuGijqjB7eb5UFUSDMKoJH1Dtrasm5E7CYbErTiVU0MzWulUVzOB14Vw/S6oKIUwGXBG0fFdO4d7zGQDmpjlYOw5TnEioFB9tY+pIo6pQWuFiwZqjihOJcLCjaA/7iw8BMLTFQLKS2itOJFQyp7bB1t1Y99h3sQDPoS8UJxL1JQOuCEq6z1NXTfCDxY5jyAypJgh65aTTt2MGABv2XeTACVmYXdTfVWf59WpCWlQKj0s1QQC27o9hSmkJgCtvEf7yIsWJRH3IxCCCknPHR/jLzgFg7zcZU3ya4kQiWEwZkU18jA2At5cfodrpUZxIhCJd15l3eDG13lo0NJ7LfQq72aY6lggCmtmCY+i36qoKbqkqhCgZcEXQcV44hvNaNaF5J6y5DylOJIJJbJSVF+pWVSirdPHuykLFiUQoWn9qGweK8wF4qOUgMhPbKk4kgok5pRW2no8D4LtUiGv/SsWJxL2SAVcEFd3r5sqnfwVdB6sDx+BpaJqmOpYIMt2z0+jfyagqbNx/kR2HLylOJEJJmfMqb+9ZBEB6dCqPtXtEcSIRjGzdxmJKbQ1A7bZFuEsuKE4k7oUMuCKo1O74EE/xtWrC05jiUhUnEsHqmeHZJMQaLym/tmgv1bVSVRB3pus6cw8tosZjVBOm5k7GJtUEcQuayWKsqmAyg8/Dlc9eQ/dLVSFUyIArgoav6BiuvcsAsLTsjDVniOJEIpjFRll5YVQOYKyqMG9lgeJEIhRsvbiDQyXGY2VEmyG0S2itOJEIZubklth6jgfAda4A1/4VagOJuyYDrggKutddt2qCjmaPJmboDKkmiDvqlpnKg12bArD5wCX2HJU95MXtlTrLWHL0UwCaxzXh8fZSTRB3ZntgDOY0o6Ndu30xvqtSVQgFMuCKoODa+QH+cqNHmTpiGqa4FMWJRKh4dmQ2KQkOAOZ8XkCVVBXELei6zvz8xTh9LjQ0vtf3Baxmq+pYIgRoJjMxD78MZgv4PDjXzkT3+1THEncgA65QznvpKJ66l30srR4gtqusmiDuXozDyvcndQOgvNrNu6tkVQVxs80XtnOkzNgc5JG2D5GZ0kZtIBFSzMnNSR78NAD+Kydw7/9ccSJxJzLgCqV0rwvn+pmADrYoYobKqgni3vXKzWBIt2YAbDtcxK4C2UNefKmktpQPjhlLDzaNyeDR9iMVJxKhKKHf45gzjJ3u3Ds/xFd2XnEi8U1kwBVKufKWoNftEuMY8Bym2GTFiUSoemZ4NsnxdgDmrCigosatOJEIBn7dz7wji3H53Jg0E1Nzn8JqsqiOJUKQZjITM+xbRlXB78W5TqoKwUwGXKGM92IBnoOrADC36oYla4DiRCKURTssvDjaWFWhssbDfNkAQgCbzm+jsOwYACNbDaV1fEvFiUQoMyc1w957IgD+Kydx71umOJG4HRlwhRK6x2WsmoAO9hgcg1+UaoK4b53bplyvKuw4cpkdR6SqEMmKa0v48LgxgDSLacKotsMVJxLhwNr5EUwZmQC4d32Er/Ss4kTiVmTAFUq48hahVxpLOjkGTMEUnag2kAgbTz2USUq8sarC3BUFVFRLVSES+XU/8/IX4b5WTego1QTRMDSTiaghL4HZCn5fXVXBqzqWuIEMuCLgvBfy8RxaDYClTQ8smf0VJxLhJMpuYdoYo6pQVeth7soCdF1XnEoE2oZzWzl69QQAo1oPo1VcC8WJRDgxJTbB3udJAPzFp3HvXao4kbiRDLgioHSPE+f6WQBo9ljsg16QaoJocB3bJPNQj+YA7Cq4Ql6+VBUiyeWaYj6qqya0iG3GI22GKU4kwpG18wjMTbIBcO/6BF/xacWJxFfJgCsCyrV9IXplMQD2gc9hik5QnEiEq0lD25NatwHEvJUFlFe5FCcSgWBUExbi8Xuur5pgkWqCaASaZsIxZAaYbaD7cK6fie6TqkKwkAFXBIz3/GE8h9cAYGnbC0v7vooTiXDmsFmYPiYXgGqnlzkrpKoQCdad28zx8lMAjGkznBZxzdQGEmHNlJCBve8kAPwlZ3Hv+VRxInGNDLgiIHR37ZfVBEcc9kHPSzVBNLqc1kk83NPoXu45Wsy2w0WKE4nGVFRzhU+OLwegZVxzRraWXRFF47N2ehhz0w4AuPd8hq/4lNpAApABVwSIa9sC9KoSAOyDpmKKilecSESKJ4e0Jz0xCoB3VxVSVilVhXDk1/3MPbwQj9+LWTPzfO5kzCaz6lgiAlyvKljsRlVh3Ux0n0d1rIgnA65odN5zB/EcWQeApV0frO36qA0kIordZmb62Fw06qoKnx+RqkIYWnN2IycrjDf5jGk7gmaxTRQnEpHEFJ+Ovd9kAPyl53Dv/kRxIhGUA25BQQEvv/wyvXr1onv37kyZMoUdO3bc8XZbt27l+eefp2/fvvTp04dnnnmGdevWNX5gcVu6uwbn+rcA0KLisQ+aqjiRiETZLRMZ3svYwWrf8RK2HLykOJFoSJeqL/PpiRUAtIprwYhWQxQnEpHImjsUczOj9+/euxTflZOKE0W2oBtwz549y5QpUygtLeWPf/wjr///7d15dBRlvv/xd++dBUjCEjDsS9hkFVlCQEREEEdcUFTEGcDlMOq9jjpef3rnOmfG8Thz57oy6OAOMgMiijqiKCAgO4iISgg7hCUkZIOQpNf6/dEkY0yiSUhSnc7ndY7Hc6q7uj/1UHnyTfW3n5o7l5iYGGbMmMGuXbuq3G/16tXMnDkTl8vF//7v//LXv/6V6Oho7rnnHj755JMGPAL5Ic+mRRjncgFwpf4Sq7uZyYmkqbrhsq4kxp9vVVi5T60KESIQDDA/bTH+oB+7xcYdfdSaIOYItSrMBIcbjCAla15Rq4KJwq7AnTt3LoFAgHnz5jF27FhGjBjBnDlzaN26Nc8880yV+z333HN06tSJuXPnMnr0aEaPHs3f/vY34uLimD9/fgMegZTyH92FL30dAPbuw3F0ucTkRNKUuRw2Zk3qgwUo9vh58xO1KkSCVRnrOHImdKvUa7peRbuYRJMTSVNmbdYa1/BbAAjmncD71TJzAzVhYVXgGobBqlWrSElJISEhoWy70+lk3LhxbN26lYKCgkr3mz17Nr///e9xOBxl291uN506dSIzUx9HNjTDc46SdaWtCS1wp9xuciIR6N6+BVcN7QjAtwdzWL/rpMmJ5EKcKMzk44OfAdCleUeu6Dja5EQi4Oh1GbakvgB4v1lOIOuAyYmaprAqcDMzMykoKKB79+4VHuvRoweBQIB9+/ZVeMxisTBx4kSGDx9ebrvP5+PIkSO0b69bNDa0kk3/wCjKB8A96ldY3LHmBhI577pRXWibEA3AotX7yD1TYnIiqY1AMMCCtHfwGwHsVju3974ZqyWsfqVJE2WxWH7QqmCEVlXwe82O1eSE1e1dsrOzAcpdvS1Vuu306dPVfr0XX3yR/Px8brvttmo932q1YLU2zNqsNpu13P8jiffw1/j3bgDAmTwSd/fqtyZE8rhcKI1N5Wo6Lna7lbuv7csf39pGsSfAm5/u4be3DorIdZkj+Zz57OAXHD17DIDruk+gfYvqr5oQyeNyoTQ2lavxuMS1xhg5jaI1rxHMP4lvxzKiU26px4TmCOfzJawKXK839BfOD9sMSpVu83iq98WQRYsWMW/ePCZPnszEiROrtU9CQkyD/5Jr3jyqQd+vvgWKz3Js3ZsA2GLjaXfN3diiYmr8OpE2LnVJY1O5mozLpfEx3DCmO0u/2M93B3PZtvc0Vw3vXH/hTBZp58zR/OP863xrQs+WXZkyYCJWa81/wUbauNQljU3lajIuRspEMo/uoPjg13h2fkLLASNxt+9Vj+nME47nS1gVuE6nEwi1FvxYafHrdrt/9nXmzJnDiy++yDXXXMNTTz1V7ffPzT3XoFdwmzeP4syZYgKBYIO8Z0M4t3IegcI8AKJGz+BMiQVKzlV7/0gdl7qgsalcbcdl4rAObP72JMdPn+PVD76ja2IsreLCb5K+EJF4zgSCAZ7f8gaBYACH1cG0XjdRUFBco9eIxHGpKxqbytV2XJypv6TkWDqGt4jMZS/Q/OYnsThc9Zi0YZl1vsTH//yFs7AqcBMTQ99+zc3NrfBYTk7oLlht2rT5ydd44oknWLRoEbNmzeK3v/1tja7IBoMGwWDDfqs6EAji90fGJOI7/BXevRsBsCePwtK+f62PLZLGpa5pbCpX03GxYmHmpN78af5XlHgDvPLRbh6+ZWBEtipE0jnzyaFVZJw9DsC13SbQ0tVS80w90NhUrsbj4o7DlXIbJWteJVhwinOb38U94tb6C2iScDxfwqppIjExkZYtW5Kenl7hsbS0NBwOBz169Khy/2effZZFixbx+OOP88gjj0TkL6pwZZQU4vnyLQAsMfG4R0Rer5FEni7tmjNxeGhVhbQjeazZecLkRPJTMs6eYPnhlQB0a9GFMe1HmpxI5OfZe4zE1nEAAL5vP8N/smKNI3UvrApcgPHjx7Nx48ayL5wBFBUVsXLlSlJTU4mNrfzb+CtXruTll1/moYce4o477miouHJeyYa3MYrPAOAePQOLq+Z9tyJmuHZkF5Jah87Xd1bvJzu/Zh93S8PwB/0sSFtM0AjitDq4vfdNWjVBGgWLxYJ71K/AGQ0YlKx9HcOnG83Ut7CbHWbPnk1MTAz33HMPX3zxBRs2bGD27NkUFRXx4IMPArB161b69OnD4sWLAfD7/Tz99NN06tSJESNG8O2331b4r7SHV+qe7+A2/Ac2A+DoNRp7h/4mJxKpPofdyp2T+mC1WPD4AryxPI2gbgARdj49vJrjhaF1iyd3v5o20a1MTiRSfdaYeNwjQ+vBG2dO4dn2rsmJIl9Y9eBCqE1h4cKF/OUvf+Hhhx8mGAwyYMAA5s+fT3JyMhC6sUMgECAYDPV7ZGZmkpERupPNlClTKn3dVatWaT3cehAsPoNnfehOcZaYBFzDI6+3SCJfp7bNuCalEx9uOMyeo/l8seM4V1yi+SJcHD17jBVHVgPQI64ro5NGmJxIpObs3UdgP7gN/5Gv8X33OfbOl2C/KDJXVQgHYVfgAnTt2pWXX365yseHDRtWrk+3ffv2lfbtSv3zbFiAUXIWAPdlM7E4I+tb6NJ0XJPSma/3nSYjq5Ala/bTr2sCbeKjzY7V5PmCfhbsfifUmmBz6oYO0mhZLBZco36JP3MveM5RsvY1Yqb8EYvj51eHkprTLCG15juwFf/BbQA4eo/B3v5ikxOJ1J7dZmXWpN7YrBa8viCvf6xWhXDw6aGVnDgXut369d0m0Sqq4o2ARBoLa3Qc7pHTATDOZuPZssTkRJFLBa7USrCo4N+tCbEtcQ2banIikQvXMbEZv0jpDMDeYwWs2n7M3EBN3JEzGXx2dA0APeO7k5o0zNxAInXA3m0Y9s6hO3z6dq/Cf3y3yYkikwpcqTHDMPCsn4/hKQTAfdkstSZIxLh6RCc6JoZWa1m69gCncotMTtQ0+QI+5qeFWhNcNifTemnVBIkMpa0KFnczAErWvobh1eotdU2zhdSY/8AW/Ie/AsDR5wrsSX1MTiRSd+y20KoKNqsFrz/Ia8vTGvwGMALLD68k89wpAG7ofg0to+JNTiRSd6xRzXGlnm9VKMzBs2WxyYkijwpcqZFgUT4lGxYAYGnWGtewm0xOJFL32reJ5drULgDsP1bA59szTE7UtBwqOMrnR9YA0Cu+ByMvUmuCRB5H16HYu14KgC9tDf5j35mcKLKowJVqMwwjdLcyzzngfGuCvv0pEerq4R3p1Db0EeJ76w5yMuecyYmaBm/Ax4K0dzAwcNvc3N77Jt2VUiKWa+T0H7QqvK5WhTqkAleqzb9/E/4jXwPguPhKrd8nEc1mtXLnpN7YbRZ8/iCvfaxWhYbwr0MrOFWUBcCNPX5BvDvO3EAi9SjUqhC6+6pxLhfP5n+anChyqMCVagmey6Nkw9sAWJon4rq08htqiESSpNaxXDeqKwAHT5xhxdajJieKbAcLDrP66JcA9GnZkxHthpicSKT+Obpeir3bcAB8e9bhz9hlcqLIoAJXfpZhGJR8+SZ4iwAL7jGzsDhcZscSaRBXDe1Al3bNAXj/y0McP61WhfrgDXhZsDvUmhBldzOt1xS1JkiT4R55O5ao0DxTsu4NDI/mmQulAld+ln/fBgJHvwHA0W889rbJJicSaTg2a+gGEHabFX8gyOsf7yZw/jbhUnc+OriCrOLTAEzpcS1xrhYmJxJpOBZ3LK5RvwLAOJdHyaZF5gaKACpw5ScFC3Mp2bgQAEuLtrguvcHkRCIN76JWMdwwOtSqcOjkWT7dolaFurQ//xBfZKwH4OKWvRnW9hKTE4k0PEfnwdi7jwDAv/dL/Ed3mhuokVOBK1UKtSa8Ad5isFiIGnMnFrtaE6RpGn9pB7olhT5CXPblIY5lF5qcKDJ4At6yVROi7VHc2usGtSZIk+VOmYYlOg6AknVvqlXhAqjAlSr50tcRyPgWAEe/CdgSu5ucSMQ8VquFWZP64LBbCQQNXvs4DX9ArQoX6sMDn3C6OAeAm5InqzVBmjSLOxZ3aatCUX7ZJ6hScypwpVLBwhw8m0LLlVjj2uEacr3JiUTM1zYhmhvPtyocyTzLJ5uPmJyocduXd4A1xzYA0L9VXy5NHGRyIhHz2TsNxJ48EgD/vo34D39tcqLGSQWuVGAYBiVrXwdfCVgsuMfcicXuNDuWSFgYN6QDPdqHrjJ+uOEwR0+dNTlR41Ti97AgbQkAMfZobump1gSRUu4Rt/27VeHLNzFK1BJVUypwpQLfnrUEjn8PgHPA1djadDM5kUj4sFotzJzUG+f5VoXX1apQKx8cWE5OSS4AN/e8jhauZiYnEgkfFlcM7tEzATCKCyjZ+LbJiRofFbhSTvBsNp7NoeVJrPFJOC+5ztxAImEoMT6aKWNCf/gdzSrkXxsPmxuokUnP3c+645sAGNi6H5e0GWByIpHwY+/YH0fP0QD492/Gd2i7yYkaFxW4UsYwgj9oTbCGWhNsDrNjiYSlsZe0p2eHOAA+3nSEI5lqVaiOEn8Jb+8JtSbEOmK4pef1ak0QqYJrxC1YYhIA8KyfT7BE80x1qcCVMr60NQROpAHgHDgJW+suJicSCV9Wi4UZk3rjctjOr6qwW60K1fD+/o/JLckDYGrP62nmjDU5kUj4sjijcV9W2qpwBs/6BSYnajxU4AoAwTNZeDYvBsCa0B7n4GtNTiQS/trERXHT5aFWhWPZ5/hww2FzA4W5tJy9rD+xBYDBbfozuE1/kxOJhD97+4tx9BoDgP/gVnwHt5obqJFQgSvnWxNeA78HLDa1JojUwJhBSfTuFA/A8k1HOHTyjMmJwlOxv5iFe94FoJkjlqnJWnpQpLpcw6diiW0JgGf9AoLFmmd+jgpcwff9KgIn0wFwDroGW6vO5gYSaUSsFgszJvbC5bQRNEKrKvj8alX4sff2fUyeJx+AW3peT6wzxtxAIo2IxRmF+7JZABglZ/Gsn49hGCanCm8qcJu4YMEpPFtCX/iwtuyAc9AvTE4k0vi0ioti6uWhO/0dP32ODzccMjlRePk+J52NJ0Mfqw5JHMjANv1MTiTS+NiT+uDoMxYA/6Ht+A9sMTlReFOB24SVtSYEvOdbE+7CYrObHUukUbps4EX06Xy+VWHzEQ6e0EeIAEW+Yv5R2prgjOWm5MkmJxJpvFzDbsbSrBUAJRsWECzKNzdQGFOB24T5vvucQOZeAJyXXIutZUeTE4k0XhaLhRkTe+N22jAMeO3j3fj8AbNjmW7pvo/I9xQAcGvPG4l1qDVBpLYsDndZqwKec3i+fEutClVQgdtEBfMz8WwNXVWxtuqEc+AkkxOJNH4tW7i55YoeAJzMKeL9L5t2q8J3p9PYnBlanP7SxMEMaN3X5EQijZ/9ot44+o4DwH/ka/z7N5mcKDypwG2CjGCQ4rWvQsAH1vOrJljVmiBSF0b1b8fFXUILs6/YepT9xwtMTmSOIl9RWWtCC2czbkrW0oMidcU19CYszdsAULJxoVoVKqECtwnyfbeC4Kn9ADgvuQ5bQgeTE4lEDovFwq8m9iLKZT/fqpCG19f0WhWW7PuQAm/orku39rqRGEe0yYlEIofF4TrfqmABzzlK1r2pVoUfUYHbxATyT+DZthQAa+suOAdcbXIikciT0NzNredbFU7lFvHeuoMmJ2pY32R/z9bMHQAMbzuEfq36mJxIJPLY2/XEcfGVAASO7sS/b6PJicKLCtwmxAgGKPniVQj4wWo/35pgMzuWSEQa2a8t/buFFmb/fFsGezPyzQ3UQAp95/hneuiP6DhXC27soaUHReqLa+iNWFokAlCy8W2C5/JMThQ+VOA2Id5dnxLMDl1Jcg65Hlt8ksmJRCKXxWLhlxN6Ee2yYwCvL0/D0wRaFZbs/YCz3kIAbut1I9GOKJMTiUQui92F+7I7AQt4iylZ94ZaFc5TgdtEBHKP493+PgDWNl1x9p9gciKRyBffzMVtV4ZaFbLyilm69oDJierXzqxv2X5qJwAp7S6lb8te5gYSaQLsbXvg6H8VAIGMXfjTvzQ5UXhQgdsEGMEAJWtfhaAfbGpNEGlII/q2ZWD30MLsK7cfI/1oZH6EeNZbyD/T3wMg3hXHDT2uMTmRSNPhGnID1hZtASjZ9E+ChTkmJzKfCtwmwPvNcoLZofU4XZfeiC3uIpMTiTQdoVaFnsS4Q0vxvb48jRKv3+RUde+dvcso9J0DYFrvKUTZ1Zog0lAsdifuMXeCxQI+tSqACtyIF8jNwPvVMgCsid1xXHyVuYFEmqAWsS6mXZkMQHZ+Ce+uiaxWhR1Zu9iRtQuAkRcNo3dCssmJRJoeW2J3nP0nAhA49h2+PWtNTmQuFbgRzAj6Q6smBANgcxB12Z1YrPonFzHDsD6JDE5uDcDqHcdJOxIZrQpnvYUsTg/19ye447mhu+6KKGIW5yXXYY0PfUrr2byI4NnTJicyj6qdCObd+THBnCMAuIZOwRrX1uREIk2XxWJh+lU9iY1yAPDG8jSKPY27VcEwDBalv//v1oReU3Db3SanEmm6LHZnaFUFixV8JZSse73JtiqowI1QgdNH8H71IQC2tslli0GLiHlaxDi5fXzo4/vTBSUsaeStCl9lfcPO7G8BGJ00gl4JPUxOJCK2Nl3LbuIUOL4bX9oXJicyhwrcCGQE/KFVE4wA2J24L5uFxaJ/apFwMLR3IkN6he4hv+br43x/ONfkRLVT4DnLO+nLAGjpTmByN90VUSRcOC+ZjDW+PQCezYsJnsk2OVHDU9UTgbxff0QwJwMA19CbsJ6/y4mIhIfbxyfTLDrUqvBmI2xVCLUmvMc5fxEAt/e+CbfdZXIqESllsTnOr6pgBb+HkrWvYRhBs2M1KBW4ESZw+jDerz8CwNauJ46+V5icSER+rHm0k+njewKQc8bD4tX7TU5UM9tOfc2u098DcFn7kSTHdzM5kYj8mK11Z5yDQutRB07uwff9apMTNSwVuBHECPgoWfMqGEGwu9SaIBLGhvRqw9DeoVaFdd+c4LuDjWNh9nxPAUv2fgBAq6iWTO420eREIlIV56BrsSZ0AMCz9R2CZ7JMTtRwVP1EEO+ODwnmHgPANXwq1uZtTE4kIj/l9vE9aR7jBOCNT/ZQVBLerQqGYfDPPe9R5C/GgoXpvW/GZXOaHUtEqmA5f/dSLDbweylZ82qTaVVQgRshAlkH8e78GABbUh8cvceYG0hEflZslIM7rgq1KuSd9bBo9T6TE/20rZk7+C4nDYAxHUbSPa6LyYlE5OfYWnXCOfhaAAKZe/F9t9LkRA1DBW4EMPze86smBMHhxj16ploTRBqJwcmtGd439EXQ9btOsutAeC7Mnu8pYMm+UGtCm6hWXNt1gsmJRKS6nIMmYW3ZCQDP1ncJFmSanKj+qQqKAN4dHxDMOwGAa/gtWJu1MjmRiNTEbeOSaXG+VeHNT/ZwrsRncqLyDMNg4Z53KfaXhFoT+tyMU60JIo2GxXq+VcFqg4CXkjWvYQQju1VBBW4jF8g6gPeb5QDYkvri6HWZyYlEpKZioxz8ckIvAPILvfxzZXi1Kmw6uZ3dOekAjO04iq4tOpsbSERqzNayA87BkwEInNqH77vPTE5Uv1TgNmLG+YZxDAMcUbgvm4nFYjE7lojUwsAerRh5ceh22hu/y2TnvvBoVcgryWfpvtDSg4nRbbimy1UmJxKR2nIOnIS1VWcAPNuWEsg/YW6geqQCtxHzbH+PYP5JAFwjbsEa29LkRCJyIW4d14O42NBH/299uofCYnNbFUpbE0oCJWWrJjhtDlMziUjtWaw23GPuAqsdzi8tGqmtCipwG6lA5j58u1YAYOvQD0fP0SYnEpELFe128KuJoVaFgnNe/rFyr6l5Np7YSlpuKMO4jpfRpUVHU/OIyIWzJSThHHIdAMGsg3h3fWpuoHqiArcRMvweite+ChjgjMI9aoZaE0QiRP9urUjt3w6Azd+f4qt0c+4hn1Ocx9L9odaEtjGJTOpypSk5RKTuOftPxNq6KwDer94jkHfc5ER1TwVuI+TZ9h5GwSkA3CnTsMYmmJxIROrSLWN7EN/MBcCCFXs4W+Rt0PcPtSYswRPwYrVYuaP3zTjUmiASMUKtCneCzQ4B//lWhYDZseqUCtxGxn8yHd+3oW8+2joOwN5jpMmJRKSuRbvtzDjfqnCmyMfCzxu2VWH9ic2k5+0H4MqOY+jUvEODvr+I1D9b/EW4htwAQDD7EN5vPjE5Ud1SgduIGD4PJWtfI9SaEI171K/UmiASoS7u2pLRAy4CYGtaFtv3NMw95E8X5/Le/tBdES+KacvELuMa5H1FpOE5+k3A2qYbAN6v3ieQe8zkRHVHBW4j4tn2LsaZ0C8598jbscbEm5xIROrT1LHdadk81Kowf0U6Z87Vb6tC0Ajydto7eM+3JkzvczMOq71e31NEzGOxWokacyfYHBAMnG9V8Jsdq06owG0k/Cf24PvucwDsnQZh7z7C5EQiUt+iXHZ+dXVvAAqLfSz4LB3DMOrt/dYd38S+/IMAXNVpLB2bta+39xKR8GCNa4fr0ikABE8fxrtzucmJ6oYK3EbA8JWcb00AXDG4Rv1SrQkiTUTfzglcPigJgK/Ss9lWT60K2UU5fLA/9IstKbYdEzqPrZf3EZHw47j4SmxtkwHw7viAQM5RkxNdOBW4jYBnyzsYZ0NLBblHTscaHWduIBFpUDdd3o1WLdwAvP3ZXgrquFUhaARZkPYO3qAv1JrQeyp2tSaINBkWqxX3ZbPA5oyYVgUVuGHOf3w3vt2rAbB3vgR7t2EmJxKRhuZ22pnxw1aFFXXbqrD22EYOFBwCYGLnK+jQ7KI6e20RaRysLRJxDbsJgGDOUbxf/8vkRBdGBW4YM7zFZa0JFncztSaINGG9O8VzxeBQT+yOvdls2X2qTl73VFE2HxwILQ/UIfYiruqk1gSRpsrR9wps7XoC4N3xEYHTR0xOVHsqcMOYZ8tijMIcAFyp07FGNTc5kYiYacqYbrSOC7UqLPx8L/mFngt6vdJVE3xBHzaLjel9pmKz2uoiqog0QhbL+VYFuwuMACVrXsEINM5WBRW4Ycp/7Dt8aWsAsHe9FEfXoeYGEhHTuZw2Zp5vVThX4mf+pxfWqvBFxnoOFoSu0FzdZRxJse3qJKeINF7W5m3+3aqQewzvjg9MTlQ7KnDDkOEtomTt68D51oSR001OJCLhomfHeMYNCbUq7Nx/mk3fZ9bqdTLPZfHRwU8B6NgsiSs7jqmriCLSyDn6jMV2UeiPae/OjwlkHzI5Uc2pwA1Dns2LMM7lAuBKvUOtCSJSzo2XdaNNfBQA//h8H3lna9aqULpqgi/ox26xMb23WhNE5N9CrQozweEGIxhaVSHgMztWjajADTP+jF349qwDwN5tOI6ul5qcSETCjcthY9ak3liAIo+ftz7dU6NWhVVH13H4TGidy0ldx3NRbNt6SioijZW1WWtcw6YCEMw7jverxtWqoAI3jBiec5SsewMAS1Rz3CNvNzmRiISrHu3jGD+0AwC7DuSw/tuT1drv5LlT/OvgCgA6N+/IFR1G11tGEWncHL3HYEvqC4D3m48JZB00OVH1qcANIyWb/olxLg8A16hfYXHHmpxIRMLZ9aO60jYhGoBFq/aRe6bkJ58fCAZYsPsd/EYAu9XO9N43qzVBRKpksVh+0KpghFZV8NftjWbqiwrcMOE/uhP/3vUA2LuPwNF5sMmJRCTcOUtbFSxQ7Anw5ic/3aqw8uhajpzNAOAXXa+ibUybhooqIo2UNbYlrhG3AhDMP4n3q2XmBqomFbhhINSa8CYAlug43CnTzA0kIo1Gt6QWTBjaEYDvDuXy5a7KWxWOF57k40OfA9CleSfGdhjVYBlFpHFz9ByNrf3FAHh3fULg1H6TE/08FbhhoGTjQoyifADcak0QkRq6blQX2rX8d6tCTkH5VoVAMMCCtHcIGAEcVjvT+9yM1aLpX0Sqx2Kx4B49E5xRYBgUr3k17FsVwnKGS09P5+6772bIkCEMGjSIadOmsW3btnrbz0zeQ1/h37cRAHvySOydBpobSEQaHYfdxqxJfbBYoMQb4I1P0sq1Knx6+Asyzh4H4NquE0iMbm1WVBFppKyxCbhH3AaAUZCJZ9tSkxP9tLArcDMyMpg2bRq5ubn85S9/Ye7cucTExDBjxgx27dpV5/uZKVB0lqI1bwLnWxPOnzgiIjXV9aLmXD28EwC7D+exducJAA7nHePjA6HWhG4tOjOmQ6ppGUWkcbMnp2Lr0B8A37ef4T+ZbnKiqoVdgTt37lwCgQDz5s1j7NixjBgxgjlz5tC6dWueeeaZOt/PTDmfvYZRXACAe/RMLK4YkxOJSGN27cguJLUKzSOLV+/nZM5Z5m5963xrgoPbe6s1QURqL9SqMAOc0YDBudWvEvTV7EYzDSWsZjrDMFi1ahUpKSkkJCSUbXc6nYwbN46tW7dSUFBQZ/uZyXtgG4XffwmEmrftHfubnEhEGjuH3cqsa3pjtVjw+AI8u3Yph/OPAXBdt6tpE93K5IQi0thZY+LLvgwfLDhF7hcLTU5UObvZAX4oMzOTgoICunfvXuGxHj16EAgE2LdvH0OGDKmT/cxSci6Xd79ZSE67FmB3YG/uh52vmR0rLFgs4HDY8PkC1ODGTE2CxqZyGpeKLhpaRFZeMfnROViAKF8bvtoUzY5NO82OFhasFgt2hw2/L0BQJ005GpvKaVx+xIjmSntXOvsPcmbbx3hie9KqR3hdqAurAjc7Oxug3FXYUqXbTp8+XWf7/ZjVasFqtVQ/cC3tObKBTbF2yoY/L/yX2xCRxsUWF/q/EbCRt7sXuZ48U/OISGQ5ahnMoy2OEWP1cvLrDbTtPdDsSOWEVYHr9YaWnHA4HBUeK93m8VTs9ajtfj+WkBCDxVL/Be7IodeQ/ukech027M0qFuUiIheqxBvgRHYRzT09aNalvdlxRCQCrfFNoa/3O7pfeT3x8eH1PaKwKnCdTicAPp+vwmOlRazb7a6z/X4sN/dcg1zBBRt3XPH/aN48ijNnigkEgg3wno2DzWbVuFRBY1M5jUvVNDaV07hUTWNTOY1L5Wy2gTRvfiNnzhSTl3euwd63OsV0WBW4iYmJAOTm5lZ4LCcnB4A2bSreWrK2+/1YMGgQDDZsb00gEMTv1w/Lj2lcqqaxqZzGpWoam8ppXKqmsamcxqVy4TguYbWKQmJiIi1btiQ9veK6amlpaTgcDnr06FFn+4mIiIhI5AmrAhdg/PjxbNy4seyLYwBFRUWsXLmS1NRUYmMrv41tbfcTERERkcgSdgXu7NmziYmJ4Z577uGLL75gw4YNzJ49m6KiIh588EEAtm7dSp8+fVi8eHGN9hMRERGRyBd2BW5iYiILFy6kTZs2PPzww9x3331YLBbmz59PcnIyELqxQyAQIBgM1mg/EREREYl8FsPQisWlsrPPNth72e1W4uNjyMs7F3aN2WbSuFRNY1M5jUvVNDaV07hUTWNTOY1L5cwal9atm/3sc8LuCq6IiIiIyIVQgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISERRgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISERRgSsiIiIiEUUFroiIiIhEFBW4IiIiIhJRVOCKiIiISESxGIZhmB1CRERERKSu6AquiIiIiEQUFbgiIiIiElFU4IqIiIhIRFGBKyIiIiIRRQWuiIiIiEQUFbgiIiIiElHsZgeIBHv27OGBBx7g0KFDLF++nG7duv3sPtu2beP555/n+++/x2q1MnjwYH7729+SnJxc7nnp6en83//9Hzt27CAQCNCnTx8eeOABLr300vo6nDpTm3H55JNPePPNN9m/fz9Op5NevXpx//33M3jw4LLnjB07luPHj1e6/5NPPslNN91UZ8dQX2o6NjU55uqeW+GoJuOyZcsW7rjjjiofT0pKYvXq1QD07Nmzyue98cYbpKSk1D50A9i0aRMvvfQS6enpGIZBt27duOeeexgzZsxP7tcU5pnajk2kzzW1GZemMM/UdFya0jyzZs0a5s2bx759+7BarSQnJ3PPPfeQmpr6k/uF6zyjdXAv0MKFC3n66adp0aIF2dnZ1SpWvv76a6ZPn87w4cOZMWMGfr+fuXPncujQIZYuXUqHDh0AyMjI4Prrr6dz5878+te/JioqijfeeIONGzfyj3/8g/79+zfEIdZKbcZl4cKF/OEPf2Dy5Mlcd911FBUV8fLLL5OWlsbbb7/NoEGDgNAknJyczL333lvhNZKSkkhISKiXY6ortRmb6h5zdc+tcFTTcSksLOTQoUMVtgeDQe677z4uvfRSnnnmGSD0i+fmm2/m5ptvrvD8Ll26EBsbW3cHUsdWr17NvffeS2pqKtOnTwfgrbfeYv369Tz33HNMnDix0v2awjxT27GJ9LmmtuMS6fNMbcalqcwzH3zwAY888gjXXnst1113HV6vl9dee62seJ0wYUKl+4X1PGNIrW3ZssXo16+fsWTJEuOFF14wkpOTjf379//sfrfffrsxZswYw+PxlG3LyckxBgwYYDz22GNl2x599FFj4MCBRk5OTtk2j8djjBkzxvjlL39Zp8dSl2ozLn6/3xg6dKhxxx13lNuelZVl9OrVy3jooYfKtl1++eXGf/3Xf9VL9vpW23Omusdc3XMr3NR2XCrzxhtvGAMHDjQyMzPLtiUnJxsvvPBCXcVtUL/4xS+Mq666yvB6vWXbiouLjaFDhxq33HJLlftF+jxjGLUbm6Yw19T2nIn0eaa241KZSJtnRo8ebdx2223ltp09e9YYPHiwMXXq1Cr3C+d5Rj24FyAuLo5FixYxZcqUau+Tn5/P9u3bufLKK3E6nWXbExISSElJYeXKlRiGgWEYrFq1ipSUlHJXCZxOJ+PGjWPr1q0UFBTU6fHUldqMi8/n43e/+x0PPfRQue2tW7cmISGBzMzMuo5pitqMTXVV99wKR3U1Lrm5ucyZM4e77rqLxMTEOkpnHsMwmD17Nr///e9xOBxl291uN506dary56IpzDO1HZtIn2tqOy7V1Vjnmbocl0ibZzweD3fffTf/+Z//WW57bGwsXbp0ISsrq9L9wn2eUQ/uBahNr9H+/fsJBoP06NGjwmM9evRg1apVnDp1CsMwKCgooHv37pU+LxAIsG/fPoYMGVKr7PWpNuPidru55pprKmzPzc0lLy+PUaNG1UU009Vnf1p1z622bdvWW4baqqtxmTt3Lm63mxkzZtTJ65nNYrFU+rGpz+fjyJEjVY5bU5hnajs2kT7X1HZcqquxzjN1OS6RNs+4XC6mTZtWYbvH4yEjI4N+/fpVul+4zzO6gtvASv8Sio+Pr/BY6bbs7Gyys7MBKu3xKt12+vTp+ooZNv70pz8RDAa59dZby23PyMjg/vvvJyUlhX79+nHDDTewfPlyk1I2jJ875uqeW5EqKyuLxYsXc9dddxEVFVXh8d27dzNr1iyGDRvGgAEDmDZtGps2bTIh6YV78cUXyc/P57bbbqv08aY8z/zc2FQl0uea6o5LU5tnanq+NIV5xu/3c+DAAR588EECgQD/8R//Uenzwn2eUYHbwLxeL0C5j0hKlW7zeDzVfl4ke/bZZ/nXv/7F7NmzGTBgQLnH9u/fT//+/Xnuued45plncDqd/OY3v+Hdd981KW39+7ljburnzIIFC7Db7VW2OaSlpTF27Fj+9re/8ac//Ym8vDxmzpzJhg0bGjjphVm0aBHz5s1j8uTJVX5ZqKnOM9UZm8pE+lxTk3FpSvNMbc6XSJ9n3nvvPfr27cvVV1/NsWPHeP3116v8Ali4zzNqUWhgLpcLCH0s8mOl29xuN8FgsMrnlZ4sbre7vmKaKhAI8MQTT7BkyRJmzZpVoS/o3XffxeVyERMTU7YtNTWVSZMm8dxzz3HjjTdisVgaOna9qs4xV/fcikR+v5+lS5cyYcKEcmNUav369TRr1qzc8Q8bNowJEybwwgsvMHLkyIaMW2tz5szhxRdf5JprruGpp56q8nlNcZ6p7tj8UFOYa2oyLk1pnqnN+dIU5pmxY8eydOlSsrKy+Oijj5g2bRr/8z//U+mSeOE+z+gKbgNr06YNEOr3+rGcnJyy55Q2rv/c8yKNz+fj3nvvZenSpTz++OM88sgjFZ6TkJBQYXKJiooiNTWV7OzsRveRanVU55ire25Fop07d5KTk8MVV1xR6eOtW7euMIG2bt2agQMHsnv37oaIeMGeeOIJXnzxRWbNmsVf//pX7Paqr080tXmmJmNTqinMNTUdl6Yyz9TmfIGmMc/ExcVx8cUXM3bsWJ599lkuv/xy/vCHP5Cfn1/hueE+z+gKbgNLTk7GbreTnp5e4bG0tDRat25d9g/dsmXLKp/ncDgqbexuzAzD4LHHHitbk/Cqq66q9HmBQACLxYLVWv7vs9KPOEr/qowk1TnmmpxbkWbDhg1YLBaGDx9e6eNer7fct3xLeTyeRnG+PPvssyxatIjHH3/8JxedL9WU5pmajg00jbmmNuPSFOaZ2oxLqUidZ7Kysli7di2DBg2q8EWwAQMGsGLFCo4cOUJcXFy5x8J9ntEV3AbWrFkzUlJSWLFiBcXFxWXbT506xebNm8stpjx+/Hg2btxYrmG/qKiIlStXkpqaGtaLRtfG/Pnz+fDDD/nzn/9c5S+crVu30q9fP5YsWVJue2FhIevXryc5OZnmzZs3RNwGU91jrsm5FWm2b99OUlJSpT8Ty5Yto3///qxfv77c9uPHj/Ptt9+G5QoBP7Ry5UpefvllHnrooWr/Qm4q80xtxgYif66pzbg0hXmmtudLqUidZwzD4He/+x2vvPJKhce++eYbANq1a1fhsXCfZ3QF9wIcO3aMvLw84N/fJty/fz9FRUVA6K4my5cv57HHHmPevHllt7t76KGHmDp1Kr/+9a+588478Xq9PP/887Ro0YK777677PVnz57NihUruOeee7j//vtxOp3MmzePoqIiHnzwwQY+2uqrzbicOXOGF154gSFDhtCxY0e+/fbbCq/br18/LrnkEvr3789TTz3FmTNnGDRoEFlZWbz66qvk5eXx9NNPN9yB1kJtxqYmx1zdcyvc1PZnqdSpU6eqvHvSuHHj6NSpEw8//DD3338/PXv2JCMjg7lz52K1WnnggQfq78AukN/v5+mnn6ZTp06MGDGi0p+LpjrP1HZsIn2uqe24RPo8cyE/S6UidZ5JTExk2rRpvP3220RHRzNu3DgAPvvsM1asWMENN9xAmzZtWLZsWaOaZ1TgXoA5c+bw/vvvl9v2w+U0Vq1aRTAYJBAIlDVZA/Tq1Yv58+fz17/+lXvvvRe73c7QoUN5/vnny320k5iYyMKFC/nLX/7Cww8/TDAYZMCAAcyfPz+s7/ddm3FJS0ujsLCQ7du3V/nt1PT0dGw2G6+88gp///vfeffdd3nxxRdxOp0MHDiQBQsWcMkll9TfgdWB2oxNTY65uudWuKntz1Kp7OzsKn8mYmNjmT9/Pi+99BKvvfYaWVlZxMbGMnToUO67776w/lnKzMwkIyMDoMqfi6Y6z9R2bCJ9rqntuET6PHMhP0ulInWeAXjsscfo3r07S5Ys4aOPPgKgY8eOPPHEE2W3Hm5s84zFCMdbjoiIiIiI1JJ6cEVEREQkoqjAFREREZGIogJXRERERCKKClwRERERiSgqcEVEREQkoqjAFREREZGIogJXRERERCKKClwRERERiSgqcEVEGpG5c+fSp08fvvzyy3p7j2effZa+ffuybt26ensPEZH6pAJXRCTMLFq0iC1btlTYvnr1al544QXuv/9+Ro0aVW/v/8ADDzB06FB+85vfcPTo0Xp7HxGR+qJb9YqIhJFAIMCQIUOYOXMm999/f9n2s2fPMm7cOBITE3n//fex2Wz1muPEiRNMmDCB/v378/bbb9fre4mI1DVdwRURCSN79+6lqKiowvZXX32V/Px8HnzwwXovbgEuuugipk2bxrZt21i5cmW9v5+ISF3SFVwRkTDx6KOP8v7775fbdt9993HnnXeSkpJCfHw8q1atwmKxlD3+4IMP8vHHH7Nq1SrWrVvHwoULycjIID4+nmHDhvHII4/QqlWrsucfP36cV155hY0bN3Lq1ClcLhcdOnTguuuu4/bbby/32hkZGYwbN47hw4fz1ltv1f8AiIjUEbvZAUREJGTatGlER0ezcOFCJkyYwMSJE+nevTtbtmyhqKiIa6+9tlwBCuBwOAB4+eWX+eabb5gyZQrx8fF88cUXfPDBBxw5coTFixcDUFhYyNSpUykuLuaOO+6gS5cuFBcX8/nnn/Pkk09y/PhxHn300bLX7tChA127duWrr76isLCQ2NjYhhsMEZELoAJXRCRM9OvXj3379gHQvXt3JkyYAIS+dAaQmppaYZ/Sgnf79u0sW7YMt9sNwOTJk5kwYQI7d+7k+PHjJCUlsWnTJrKzs3n44Ye56667yl5j6tSp/O53v6OgoADDMMoV0SNHjmTBggVs3ryZcePG1c+Bi4jUMRW4IiJh7siRIwB06dKlyudMmzatrLiFUOHbu3dvDh8+TGZmJklJSWVXe3fu3InX68XpdJY9/49//GOlr1v6nqUZREQaAxW4IiJhLjc3F4CEhIQqn9O5c+cK20oLXr/fD4Suxg4cOJCVK1dyxRVXMHr0aEaMGEFKSkqVr126PScn50IOQUSkQWkVBRGRMHf27FkAmjVrVuVzfng1tioOh4MFCxbw3//937Rr14733nuPhx56iNTUVH79619z/PjxCvs0b968XAYRkcZAV3BFRMJcaWF79uzZn7yKWx1Op5Pp06czffp08vPz2bp1K8uWLWPVqlUcPXqUZcuWYbf/+1dDQUFBuQwiIo2BruCKiIS5li1bAv9uVagrcXFxjB8/nrlz53L11Vezb98+9u/fX+45eXl55TKIiDQGKnBFRMJI6U0cSkpKyrZ16tQJgEOHDl3Qaz///POMHTuW06dPV3istMWh9ItopUrfszSDiEhjoBYFEZEw0qFDBwA+/PBD4uPjadeuHampqcyfP5+NGzdy5ZVX1vq1hw8fziuvvMJNN93EjTfeSMeOHfF6vezYsYMPPviAkSNH0q1bt3L7rF+/HofDwfDhwy/ouEREGpIKXBGRMDJ48GBuu+02PvzwQ1599VUmT57Mb37zG6Kjo/nyyy8v6LWHDRvGW2+9xVtvvcWSJUvIzc0lOjqapKQkHn30UW655ZZyz8/IyODQoUOkpKToJg8i0qjoVr0iIo3Ak08+yYIFC5g3bx6XXXZZg7znn//8Z15//XVeeuklxo4d2yDvKSJSF1Tgiog0Arm5uUyYMKFsea/SXt36cvLkSSZMmED//v1ZsGBBvb6XiEhd05fMREQagYSEBH7/+9+zZ88e/v73v9frexmGweOPP47dbuepp56q1/cSEakP6sEVEWkkrr76atLT05kzZw79+vVj1KhR9fI+zz33HFu2bOGll14q+9KbiEhjohYFEREREYkoalEQERERkYiiAldEREREIooKXBERERGJKCpwRURERCSiqMAVERERkYiiAldEREREIooKXBERERGJKCpwRURERCSiqMAVERERkYjy/wGijJCfLZZN6wAAAABJRU5ErkJggg==", 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", 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" ] @@ -200,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "id": "2fabc78f", "metadata": { "tags": [ @@ -211,12 +283,35 @@ { "data": { "text/plain": [ - " f ft_mx ft_my ft_mz\n", - "0 0.000000e+00 1.0+0.0j 1.000000+0.000000j 1.000000+0.000000j\n", - "1 3.333333e+08 1.0+0.0j -0.500000-0.866025j -0.500000+0.866025j" + " f ft_mx \\\n", + "0 0.000000e+00 4.000000e+00+0.000000e+ 00j \n", + "1 8.333333e+07 1.110223e-16-1.110223e- 16j \n", + "2 1.666667e+08 0.000000e+00+0.000000e+ 00j \n", + "3 2.500000e+08 0.000000e+00+0.000000e+ 00j \n", + "4 3.333333e+08 4.000000e+00+0.000000e+ 00j \n", + "5 4.166667e+08 1.110223e-16-1.110223e- 16j \n", + "6 5.000000e+08 0.000000e+00+0.000000e+ 00j \n", + "\n", + " ft_my \\\n", + "0 4.000000e+00+0.000000e+ 00j \n", + "1 -1.110223e-16+0.000000e+ 00j \n", + "2 1.110223e-16+0.000000e+ 00j \n", + "3 0.000000e+00+0.000000e+ 00j \n", + "4 -2.000000e+00-3.464102e+ 00j \n", + "5 -1.110223e-16+0.000000e+ 00j \n", + "6 0.000000e+00+0.000000e+ 00j \n", + "\n", + " ft_mz \n", + "0 4.000000e+00+0.000000e+ 00j \n", + "1 0.000000e+00+1.110223e- 16j \n", + "2 -1.110223e-16+0.000000e+ 00j \n", + "3 0.000000e+00+0.000000e+ 00j \n", + "4 -2.000000e+00+3.464102e+ 00j \n", + "5 0.000000e+00+1.110223e- 16j \n", + "6 0.000000e+00+0.000000e+ 00j " ] }, - "execution_count": 17, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -236,13 +331,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "id": "3433ec91", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -266,25 +361,31 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "id": "8121930d", "metadata": {}, "outputs": [ { - "ename": "ValueError", - "evalue": "Length of values (2) does not match length of index (3)", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mValueError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[19]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m ifft_table = \u001b[43mfft_table\u001b[49m\u001b[43m.\u001b[49m\u001b[43mirfft\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2\u001b[39m ifft_table\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/repos/ubermag-devtools/repos/ubermagtable/ubermagtable/table.py:364\u001b[39m, in \u001b[36mTable.irfft\u001b[39m\u001b[34m(self, x, y)\u001b[39m\n\u001b[32m 362\u001b[39m cols.append(i[\u001b[32m3\u001b[39m:]) \u001b[38;5;66;03m# remove leading 'ft_'\u001b[39;00m\n\u001b[32m 363\u001b[39m units[i[\u001b[32m3\u001b[39m:]] = \u001b[38;5;28mself\u001b[39m.units[i][\u001b[32m1\u001b[39m:-\u001b[32m4\u001b[39m] \u001b[38;5;66;03m# remove '()^-1'\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m364\u001b[39m \u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43mcols\u001b[49m\u001b[43m[\u001b[49m\u001b[43m-\u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m = np.fft.irfft(\u001b[38;5;28mself\u001b[39m.data[i])\n\u001b[32m 366\u001b[39m attributes = \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mself\u001b[39m.attributes) \u001b[38;5;66;03m# to explicitly copy\u001b[39;00m\n\u001b[32m 367\u001b[39m attributes[\u001b[33m\"\u001b[39m\u001b[33mrealspace_x\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:4311\u001b[39m, in \u001b[36mDataFrame.__setitem__\u001b[39m\u001b[34m(self, key, value)\u001b[39m\n\u001b[32m 4308\u001b[39m \u001b[38;5;28mself\u001b[39m._setitem_array([key], value)\n\u001b[32m 4309\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 4310\u001b[39m \u001b[38;5;66;03m# set column\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m4311\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_set_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:4524\u001b[39m, in \u001b[36mDataFrame._set_item\u001b[39m\u001b[34m(self, key, value)\u001b[39m\n\u001b[32m 4514\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_set_item\u001b[39m(\u001b[38;5;28mself\u001b[39m, key, value) -> \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 4515\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 4516\u001b[39m \u001b[33;03m Add series to DataFrame in specified column.\u001b[39;00m\n\u001b[32m 4517\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 4522\u001b[39m \u001b[33;03m ensure homogeneity.\u001b[39;00m\n\u001b[32m 4523\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m4524\u001b[39m value, refs = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sanitize_column\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 4526\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[32m 4527\u001b[39m key \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.columns\n\u001b[32m 4528\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m value.ndim == \u001b[32m1\u001b[39m\n\u001b[32m 4529\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(value.dtype, ExtensionDtype)\n\u001b[32m 4530\u001b[39m ):\n\u001b[32m 4531\u001b[39m \u001b[38;5;66;03m# broadcast across multiple columns if necessary\u001b[39;00m\n\u001b[32m 4532\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m.columns.is_unique \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m.columns, MultiIndex):\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/frame.py:5266\u001b[39m, in \u001b[36mDataFrame._sanitize_column\u001b[39m\u001b[34m(self, value)\u001b[39m\n\u001b[32m 5263\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _reindex_for_setitem(value, \u001b[38;5;28mself\u001b[39m.index)\n\u001b[32m 5265\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_list_like(value):\n\u001b[32m-> \u001b[39m\u001b[32m5266\u001b[39m \u001b[43mcom\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequire_length_match\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 5267\u001b[39m arr = sanitize_array(value, \u001b[38;5;28mself\u001b[39m.index, copy=\u001b[38;5;28;01mTrue\u001b[39;00m, allow_2d=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 5268\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[32m 5269\u001b[39m \u001b[38;5;28misinstance\u001b[39m(value, Index)\n\u001b[32m 5270\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m value.dtype == \u001b[33m\"\u001b[39m\u001b[33mobject\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 5273\u001b[39m \u001b[38;5;66;03m# TODO: Remove kludge in sanitize_array for string mode when enforcing\u001b[39;00m\n\u001b[32m 5274\u001b[39m \u001b[38;5;66;03m# this deprecation\u001b[39;00m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/miniforge3/envs/ubermagdev313/lib/python3.13/site-packages/pandas/core/common.py:573\u001b[39m, in \u001b[36mrequire_length_match\u001b[39m\u001b[34m(data, index)\u001b[39m\n\u001b[32m 569\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 570\u001b[39m \u001b[33;03mCheck the length of data matches the length of the index.\u001b[39;00m\n\u001b[32m 571\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 572\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(data) != \u001b[38;5;28mlen\u001b[39m(index):\n\u001b[32m--> \u001b[39m\u001b[32m573\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 574\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mLength of values \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 575\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m) \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 576\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mdoes not match length of index \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 577\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(index)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m)\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 578\u001b[39m )\n", - "\u001b[31mValueError\u001b[39m: Length of values (2) does not match length of index (3)" - ] + "data": { + "text/plain": [ + " t mx my mz\n", + "0 1.000000e-09 1.000000e+00 0.000000e+00 0.000000e+00\n", + "1 2.000000e-09 0.000000e+00 1.000000e+00 7.401487e-17\n", + "2 3.000000e-09 0.000000e+00 7.401487e-17 1.000000e+00\n", + "3 4.000000e-09 1.000000e+00 0.000000e+00 0.000000e+00\n", + "4 5.000000e-09 0.000000e+00 1.000000e+00 7.401487e-17\n", + "5 6.000000e-09 7.401487e-17 3.700743e-17 1.000000e+00\n", + "6 7.000000e-09 1.000000e+00 7.401487e-17 3.700743e-17\n", + "7 8.000000e-09 0.000000e+00 1.000000e+00 7.401487e-17\n", + "8 9.000000e-09 0.000000e+00 7.401487e-17 1.000000e+00\n", + "9 1.000000e-08 1.000000e+00 3.700743e-17 7.401487e-17\n", + "10 1.100000e-08 7.401487e-17 1.000000e+00 3.700743e-17\n", + "11 1.200000e-08 0.000000e+00 7.401487e-17 1.000000e+00" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -294,13 +395,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "id": "202473ed", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -313,6 +414,14 @@ "# NBVAL_IGNORE_OUTPUT\n", "ifft_table.mpl(y=[\"mx\", \"my\", \"mz\"])" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2649db72-a552-4798-8ae5-332b8a84fad2", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 778078e240b6aba050f7b4ad899a2673d03e4a5a Mon Sep 17 00:00:00 2001 From: Martin Lang <67915889+lang-m@users.noreply.github.com> Date: Mon, 15 Jun 2026 10:10:42 +0200 Subject: [PATCH 22/33] Update ubermagtable/table.py Co-authored-by: Sam Holt <48217392+samjrholt@users.noreply.github.com> --- ubermagtable/table.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 25c33b6..b9123d1 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -361,7 +361,7 @@ def irfft(self, x=None, y=None): for i in y: cols.append(i[3:]) # remove leading 'ft_' units[i[3:]] = self.units[i][1:-4] # remove '()^-1' - data[cols[-1]] = np.fft.irfft(self.data[i]) + data[cols[-1]] = np.fft.irfft(self.data[i], n=self.attributes["realspace_x"][2]) attributes = dict(self.attributes) # to explicitly copy attributes["realspace_x"] = None From e4dd54e238b3a809151fddccb5557383e573794d Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 15 Jun 2026 10:10:56 +0200 Subject: [PATCH 23/33] Run table ifft doctest --- ubermagtable/table.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index b9123d1..6fba8f7 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -331,7 +331,7 @@ def irfft(self, x=None, y=None): >>> import ubermagtable as ut >>> table = ut.sample_data() - >>> ifft_table = table.rfft().irfft() # doctest: +SKIP + >>> ifft_table = table.rfft().irfft() ... """ From 5d8e3972ddab7fc974639cd9b5555e0cb868e332 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 08:11:15 +0000 Subject: [PATCH 24/33] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- ubermagtable/table.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 6fba8f7..5a9f9c6 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -361,7 +361,9 @@ def irfft(self, x=None, y=None): for i in y: cols.append(i[3:]) # remove leading 'ft_' units[i[3:]] = self.units[i][1:-4] # remove '()^-1' - data[cols[-1]] = np.fft.irfft(self.data[i], n=self.attributes["realspace_x"][2]) + data[cols[-1]] = np.fft.irfft( + self.data[i], n=self.attributes["realspace_x"][2] + ) attributes = dict(self.attributes) # to explicitly copy attributes["realspace_x"] = None From 8c74057a4844f4229a3349e154bf5ebb616ba830 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Mon, 15 Jun 2026 11:29:54 +0200 Subject: [PATCH 25/33] Adapt tests and fixtures to better mimic adapter behaviour --- ubermagtable/tests/conftest.py | 73 ++++++++++++++++++++------------ ubermagtable/tests/test_table.py | 14 +++--- 2 files changed, 52 insertions(+), 35 deletions(-) diff --git a/ubermagtable/tests/conftest.py b/ubermagtable/tests/conftest.py index 1bb303c..c828ef3 100644 --- a/ubermagtable/tests/conftest.py +++ b/ubermagtable/tests/conftest.py @@ -10,45 +10,62 @@ import ubermagtable as ut -def _table_energy_minimisation_factory(*, table_kwargs=None, **kwargs): +def _table_energy_minimisation_factory(**kwargs): """Create sample tables for energy minimisation. Parameters ---------- - table_kwargs : dict - Keyword arguments passed to Table.__init__, e.g. to set Table.x kwargs Keyword arguments to control the table reading function in the adapter class, - e.g. to control column renaming. Passing keyword arguments has no effect in - this implementation. + e.g. to control column renaming. """ - if table_kwargs is None: - table_kwargs = {} - data = pd.DataFrame( - {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] - ) - units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} - return ut.Table(data, units, **table_kwargs) + + def table_from_file(filename, /, x=None, rename=True): + # micromagneticdata.plugins.read_table function that adapters need to provide + # `rename` has no effect in this implementation + data = pd.DataFrame( + {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] + ) + units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} + if "rename" in kwargs: + kwargs.pop("rename") + return ut.Table(data, units, x=x) + + return table_from_file("", **kwargs) # TODO: setting tmin = 0 breaks the lshift test; is this a real problem or unrealistic # data? -def _table_llg_factory(*, table_kwargs=None, **kwargs): - if table_kwargs is None: - table_kwargs = {} - n = 20 - ts = np.linspace(1e-9 / n, 1e-9, n) - data = pd.DataFrame( - { - "t": ts, - "E": np.linspace(-2e-18, -3e-18, n), - "mx": np.sin(ts), - "my": np.cos(ts), - "mz": np.zeros_like(ts), - } - ) - units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} - return ut.Table(data, units, **table_kwargs) +def _table_llg_factory(**kwargs): + """Create sample tables for time integration. + + Parameters + ---------- + kwargs + Keyword arguments to control the table reading function in the adapter class, + e.g. to control column renaming. + """ + + def table_from_file(filename, /, x=None, rename=True): + # micromagneticdata.plugins.read_table function that adapters need to provide + # `rename` has no effect in this implementation + n = 20 + ts = np.linspace(1e-9 / n, 1e-9, n) + data = pd.DataFrame( + { + "t": ts, + "E": np.linspace(-2e-18, -3e-18, n), + "mx": np.sin(ts), + "my": np.cos(ts), + "mz": np.zeros_like(ts), + } + ) + units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} + if "rename" in kwargs: + kwargs.pop("rename") + return ut.Table(data, units, x=x) + + return table_from_file("", **kwargs) @pytest.fixture diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index d129a53..42e07c4 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -82,13 +82,13 @@ def test_table_units(table_factory, rename): def test_table_xy(table_llg_factory): """Test setting table.x and automatic table.y generation.""" - table = table_llg_factory(table_kwargs={"x": "t"}) + table = table_llg_factory(x="t") assert table.x == "t" assert "mx" in table.y assert "t" not in table.y with pytest.raises(ValueError): - table = table_llg_factory(table_kwargs={"x": "wrong"}) + table = table_llg_factory(x="wrong") def test_table_xmax(table_llg_25ps): @@ -96,8 +96,8 @@ def test_table_xmax(table_llg_25ps): def test_table_lshift(table_llg_factory): - table1 = table_llg_factory(table_kwargs={"x": "t"}) - table2 = table_llg_factory(table_kwargs={"x": "t"}) + table1 = table_llg_factory(x="t") + table2 = table_llg_factory(x="t") res = table1 << table2 @@ -106,7 +106,7 @@ def test_table_lshift(table_llg_factory): assert len(set(res.data[res.x].to_numpy())) == len(table1.data) + len(table2.data) # Concatenating tables with different independent variables "x" is not possible - table3 = table_llg_factory(table_kwargs={"x": "mx"}) + table3 = table_llg_factory(x="mx") with pytest.raises(ValueError): res = table1 << table3 @@ -165,7 +165,7 @@ def test_table_mpl(table_factory): def test_table_rfft(table_llg_factory): - table = table_llg_factory(table_kwargs={"x": "t"}) + table = table_llg_factory(x="t") fft_table = table.rfft() fft_table.x = None check_table(fft_table) @@ -173,7 +173,7 @@ def test_table_rfft(table_llg_factory): # TODO def test_table_irfft(table_llg_factory): - table = table_llg_factory(table_kwargs={"x": "t"}) + table = table_llg_factory(x="t") fft_table = table.rfft() ifft_table = fft_table.irfft() ifft_table.x = None # TODO ASK SAM WHY THIS IS SET TO NONE From e3a82e2e319bfb3d569c5678ad36eadce4f50317 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 17 Jun 2026 16:25:36 +0200 Subject: [PATCH 26/33] Restructure tests; move reusable tests to 'testing' subpackage --- ubermagtable/testing/__init__.py | 0 ubermagtable/testing/table.py | 215 +++++++++++++++++++++++ ubermagtable/tests/conftest.py | 103 ----------- ubermagtable/tests/test_table.py | 290 ++++++++++--------------------- 4 files changed, 310 insertions(+), 298 deletions(-) create mode 100644 ubermagtable/testing/__init__.py create mode 100644 ubermagtable/testing/table.py delete mode 100644 ubermagtable/tests/conftest.py diff --git a/ubermagtable/testing/__init__.py b/ubermagtable/testing/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/ubermagtable/testing/table.py b/ubermagtable/testing/table.py new file mode 100644 index 0000000..c22277c --- /dev/null +++ b/ubermagtable/testing/table.py @@ -0,0 +1,215 @@ +""" +This module provides tests for the Table class, that plugins should reuse. The tests +depend on a number of fixtures, whic plugins need to implement. + +The file tests/test_table.py contains a reference implementation of the fixtures using +mock data. +""" + +import numbers +import os +import tempfile + +import ipywidgets +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +import pytest + +import ubermagtable as ut + +# TODO This file still contains a few assumptions about how data will look like, +# e.g. we use the strings "t", "mx", "iteration", etc. +# Think about how to generalise this/move it to some fixtures so that adapters +# can overwrite it + + +def check_table(table): + assert isinstance(table, ut.Table) + assert isinstance(table.data, pd.DataFrame) + assert isinstance(table.units, dict) + + assert isinstance(table.y, list) + assert all(isinstance(i, str) for i in table.y) + + assert isinstance(repr(table), str) + + if table.x is not None: + assert isinstance(table.x, str) + assert table.x in ["t", "iteration", "B"] + + assert isinstance(table.xmax, numbers.Real) + assert table.xmax > 0 + + res = table << table + assert isinstance(res, ut.Table) + assert res.xmax == 2 * table.xmax + + assert isinstance(table.slider(), ipywidgets.SelectionRangeSlider) + assert isinstance(table.selector(), ipywidgets.SelectMultiple) + + +def test_table_init(): + """Basic check creating an empty Table.""" + table = ut.Table(pd.DataFrame(), units={}) + assert isinstance(table, ut.Table) + assert isinstance(table.data, pd.DataFrame) + + +def test_table_attributes(table_factory): + """Check conversion of different samples into Table objects. + + Adapter modules should overwrite table_factory to provide real samples. + """ + table = table_factory(rename=False) + check_table(table) + + table_short_names = table_factory(rename=True) + check_table(table_short_names) + + assert len(table.data) == len(table_short_names.data) + assert len(table.data.columns) == len(table_short_names.data.columns) + + +@pytest.mark.parametrize("rename", [True, False]) +def test_table_columns(table_factory, rename): + columns = table_factory(rename=rename).data.columns + assert all(isinstance(column, str) for column in columns) + assert len(columns) == len(set(columns)) # unique column names + + +@pytest.mark.parametrize("rename", [True, False]) +def test_table_units(table_factory, rename): + units = table_factory(rename=rename).units + assert isinstance(units, dict) + assert all(isinstance(unit, str) for unit in units) + assert all(isinstance(unit, str) for unit in units.values()) + assert "J" in units.values() # Energy is always present + assert "" in units.values() # Columns with no units are always present + + +def test_table_xy(table_llg_factory): + """Test setting table.x and automatic table.y generation.""" + table = table_llg_factory(x="t") + assert table.x == "t" + assert "mx" in table.y + assert "t" not in table.y + + with pytest.raises(ValueError): + table = table_llg_factory(x="wrong") + + +def test_table_xmax(table_llg_25ps): + assert abs(table_llg_25ps.xmax - 25e-12) < 1e-15 + + +def test_table_lshift(table_llg_factory): + table1 = table_llg_factory(x="t") + table2 = table_llg_factory(x="t") + + res = table1 << table2 + + assert res.xmax == table1.xmax + table2.xmax + # Are all time values unique? + assert len(set(res.data[res.x].to_numpy())) == len(table1.data) + len(table2.data) + + # Concatenating tables with different independent variables "x" is not possible + table3 = table_llg_factory(x="mx") + with pytest.raises(ValueError): + res = table1 << table3 + + with pytest.raises(ValueError): + res = table3 << table1 + + with pytest.raises(TypeError): + res = table3 << 5 + + +def test_table_mpl(table_factory): + table = table_factory() + + # plotting requires 'x' to be set to a column in the data frame; + # we set it to the first column ("t" or "iteration") for the mock data + if table.x is None: + table.x = list(table.units.keys())[0] + + # No axis + table.mpl() + + # Axis + fig = plt.figure(figsize=(10, 8)) + ax = fig.add_subplot(111) + table.mpl(ax=ax) + + # figsize + table.mpl(figsize=(10, 5)) + + # x + table.mpl(x="mx") + + # multiplier + table.mpl(multiplier=1e-6) + + # yaxis + table.mpl(y=["mx", "my"]) + + # xlim + table.mpl(xlim=(0, 20e-12)) + + # kwargs + table.mpl(marker="o") + + # filename + filename = "table-plot.pdf" + with tempfile.TemporaryDirectory() as tmpdir: + tmpfilename = os.path.join(tmpdir, filename) + table.mpl(filename=tmpfilename) + + # Exception - invalid column name + with pytest.raises(ValueError): + table.mpl(x="wrong") + + plt.close("all") + + +def test_table_rfft(table_llg_factory): + table = table_llg_factory(x="t") + fft_table = table.rfft() + fft_table.x = None + check_table(fft_table) + + +# TODO +def test_table_irfft(table_llg_factory): + table = table_llg_factory(x="t") + fft_table = table.rfft() + ifft_table = fft_table.irfft() + ifft_table.x = None # TODO ASK SAM WHY THIS IS SET TO NONE + check_table(ifft_table) + assert np.allclose(ifft_table.data["t"].values, table.data["t"].values) + for y in ifft_table.y: + assert np.allclose(ifft_table.data[y].values, table.data[y].values) + + +# TODO: how do we best deal with this? +@pytest.mark.skip +def test_table_slider(self): + # Exception + table = ut.Table.fromfile(self.odtfiles[0], x="t") + assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) + table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") + assert isinstance(table.slider(x="B_hysteresis"), ipywidgets.SelectionRangeSlider) + with pytest.raises(ValueError): + table.slider(x="wrong") + + +# TODO: how do we best deal with this? +@pytest.mark.skip +def test_table_selector(self): + table = ut.Table.fromfile(self.odtfiles[0], x="t") + assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) + table = ut.Table.fromfile(self.odtfiles[-4], x="iteration") + assert isinstance(table.selector(), ipywidgets.SelectMultiple) + # Exception + with pytest.raises(ValueError): + table.selector(x="wrong") diff --git a/ubermagtable/tests/conftest.py b/ubermagtable/tests/conftest.py deleted file mode 100644 index c828ef3..0000000 --- a/ubermagtable/tests/conftest.py +++ /dev/null @@ -1,103 +0,0 @@ -"""Fixtures for generic versions of tests. - -Adapter modules must implement the same set of fixtures. Unsupported tests -can be skipped by calling `pytest.skip(...)` in the fixtures.""" - -import numpy as np -import pandas as pd -import pytest - -import ubermagtable as ut - - -def _table_energy_minimisation_factory(**kwargs): - """Create sample tables for energy minimisation. - - Parameters - ---------- - kwargs - Keyword arguments to control the table reading function in the adapter class, - e.g. to control column renaming. - """ - - def table_from_file(filename, /, x=None, rename=True): - # micromagneticdata.plugins.read_table function that adapters need to provide - # `rename` has no effect in this implementation - data = pd.DataFrame( - {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] - ) - units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} - if "rename" in kwargs: - kwargs.pop("rename") - return ut.Table(data, units, x=x) - - return table_from_file("", **kwargs) - - -# TODO: setting tmin = 0 breaks the lshift test; is this a real problem or unrealistic -# data? -def _table_llg_factory(**kwargs): - """Create sample tables for time integration. - - Parameters - ---------- - kwargs - Keyword arguments to control the table reading function in the adapter class, - e.g. to control column renaming. - """ - - def table_from_file(filename, /, x=None, rename=True): - # micromagneticdata.plugins.read_table function that adapters need to provide - # `rename` has no effect in this implementation - n = 20 - ts = np.linspace(1e-9 / n, 1e-9, n) - data = pd.DataFrame( - { - "t": ts, - "E": np.linspace(-2e-18, -3e-18, n), - "mx": np.sin(ts), - "my": np.cos(ts), - "mz": np.zeros_like(ts), - } - ) - units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} - if "rename" in kwargs: - kwargs.pop("rename") - return ut.Table(data, units, x=x) - - return table_from_file("", **kwargs) - - -@pytest.fixture -def table_llg_factory(): - """LLG tables.""" - return _table_llg_factory - - -@pytest.fixture -def table_minimisation_factory(): - return _table_energy_minimisation_factory - - -@pytest.fixture -def table_hysteresis_factory(): - pytest.skip("Hysteresis not implemented.") - - -@pytest.fixture(params=[_table_energy_minimisation_factory, _table_llg_factory]) -def table_factory(request): - """Energy minimisation or LLG tables.""" - return request.param - - -@pytest.fixture -def table_llg_25ps(): - """LLG data with tmax=25ps.""" - data = pd.DataFrame( - { - "t": [25e-12], - "mx": [1], - } - ) - units = {"t": "s", "mx": ""} - return ut.Table(data, units, x="t") diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index 42e07c4..2367675 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -1,207 +1,107 @@ -import numbers -import os -import tempfile - -import ipywidgets -import matplotlib.pyplot as plt import numpy as np import pandas as pd import pytest import ubermagtable as ut +from ubermagtable.testing.table import * # noqa: F403 -# TODO This file still contains a few assumptions about how data will look like, -# e.g. we use the strings "t", "mx", "iteration", etc. -# Think about how to generalise this/move it to some fixtures so that adapters -# can overwrite it - - -def check_table(table): - assert isinstance(table, ut.Table) - assert isinstance(table.data, pd.DataFrame) - assert isinstance(table.units, dict) - - assert isinstance(table.y, list) - assert all(isinstance(i, str) for i in table.y) - - assert isinstance(repr(table), str) - - if table.x is not None: - assert isinstance(table.x, str) - assert table.x in ["t", "iteration", "B"] - - assert isinstance(table.xmax, numbers.Real) - assert table.xmax > 0 +# === helper functions for fixtures === - res = table << table - assert isinstance(res, ut.Table) - assert res.xmax == 2 * table.xmax - assert isinstance(table.slider(), ipywidgets.SelectionRangeSlider) - assert isinstance(table.selector(), ipywidgets.SelectMultiple) +def _table_energy_minimisation_factory(**kwargs): + """Create sample tables for energy minimisation. - -def test_table_init(): - """Basic check creating an empty Table.""" - table = ut.Table(pd.DataFrame(), units={}) - assert isinstance(table, ut.Table) - assert isinstance(table.data, pd.DataFrame) - - -def test_table_attributes(table_factory): - """Check conversion of different samples into Table objects. - - Adapter modules should overwrite table_factory to provide real samples. + Parameters + ---------- + kwargs + Keyword arguments to control the table reading function in the adapter class, + e.g. to control column renaming. """ - table = table_factory(rename=False) - check_table(table) - - table_short_names = table_factory(rename=True) - check_table(table_short_names) - - assert len(table.data) == len(table_short_names.data) - assert len(table.data.columns) == len(table_short_names.data.columns) - - -@pytest.mark.parametrize("rename", [True, False]) -def test_table_columns(table_factory, rename): - columns = table_factory(rename=rename).data.columns - assert all(isinstance(column, str) for column in columns) - assert len(columns) == len(set(columns)) # unique column names - - -@pytest.mark.parametrize("rename", [True, False]) -def test_table_units(table_factory, rename): - units = table_factory(rename=rename).units - assert isinstance(units, dict) - assert all(isinstance(unit, str) for unit in units) - assert all(isinstance(unit, str) for unit in units.values()) - assert "J" in units.values() # Energy is always present - assert "" in units.values() # Columns with no units are always present - - -def test_table_xy(table_llg_factory): - """Test setting table.x and automatic table.y generation.""" - table = table_llg_factory(x="t") - assert table.x == "t" - assert "mx" in table.y - assert "t" not in table.y - - with pytest.raises(ValueError): - table = table_llg_factory(x="wrong") - - -def test_table_xmax(table_llg_25ps): - assert abs(table_llg_25ps.xmax - 25e-12) < 1e-15 - - -def test_table_lshift(table_llg_factory): - table1 = table_llg_factory(x="t") - table2 = table_llg_factory(x="t") - - res = table1 << table2 - - assert res.xmax == table1.xmax + table2.xmax - # Are all time values unique? - assert len(set(res.data[res.x].to_numpy())) == len(table1.data) + len(table2.data) - - # Concatenating tables with different independent variables "x" is not possible - table3 = table_llg_factory(x="mx") - with pytest.raises(ValueError): - res = table1 << table3 - - with pytest.raises(ValueError): - res = table3 << table1 - - with pytest.raises(TypeError): - res = table3 << 5 - - -def test_table_mpl(table_factory): - table = table_factory() - - # plotting requires 'x' to be set to a column in the data frame; - # we set it to the first column ("t" or "iteration") for the mock data - if table.x is None: - table.x = list(table.units.keys())[0] - - # No axis - table.mpl() - - # Axis - fig = plt.figure(figsize=(10, 8)) - ax = fig.add_subplot(111) - table.mpl(ax=ax) - - # figsize - table.mpl(figsize=(10, 5)) - - # x - table.mpl(x="mx") - - # multiplier - table.mpl(multiplier=1e-6) - - # yaxis - table.mpl(y=["mx", "my"]) - - # xlim - table.mpl(xlim=(0, 20e-12)) - - # kwargs - table.mpl(marker="o") - - # filename - filename = "table-plot.pdf" - with tempfile.TemporaryDirectory() as tmpdir: - tmpfilename = os.path.join(tmpdir, filename) - table.mpl(filename=tmpfilename) - - # Exception - invalid column name - with pytest.raises(ValueError): - table.mpl(x="wrong") - - plt.close("all") - - -def test_table_rfft(table_llg_factory): - table = table_llg_factory(x="t") - fft_table = table.rfft() - fft_table.x = None - check_table(fft_table) - - -# TODO -def test_table_irfft(table_llg_factory): - table = table_llg_factory(x="t") - fft_table = table.rfft() - ifft_table = fft_table.irfft() - ifft_table.x = None # TODO ASK SAM WHY THIS IS SET TO NONE - check_table(ifft_table) - assert np.allclose(ifft_table.data["t"].values, table.data["t"].values) - for y in ifft_table.y: - assert np.allclose(ifft_table.data[y].values, table.data[y].values) - - -# TODO: how do we best deal with this? -@pytest.mark.skip -def test_table_slider(self): - # Exception - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) - table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") - assert isinstance(table.slider(x="B_hysteresis"), ipywidgets.SelectionRangeSlider) - with pytest.raises(ValueError): - table.slider(x="wrong") + def table_from_file(filename, /, x=None, rename=True): + # micromagneticdata.plugins.read_table function that adapters need to provide + # `rename` has no effect in this implementation + data = pd.DataFrame( + {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] + ) + units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} + if "rename" in kwargs: + kwargs.pop("rename") + return ut.Table(data, units, x=x) + + return table_from_file("", **kwargs) + + +# TODO: setting tmin = 0 breaks the lshift test; is this a real problem or unrealistic +# data? +def _table_llg_factory(**kwargs): + """Create sample tables for time integration. + + Parameters + ---------- + kwargs + Keyword arguments to control the table reading function in the adapter class, + e.g. to control column renaming. + """ -# TODO: how do we best deal with this? -@pytest.mark.skip -def test_table_selector(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) - table = ut.Table.fromfile(self.odtfiles[-4], x="iteration") - assert isinstance(table.selector(), ipywidgets.SelectMultiple) - # Exception - with pytest.raises(ValueError): - table.selector(x="wrong") + def table_from_file(filename, /, x=None, rename=True): + # micromagneticdata.plugins.read_table function that adapters need to provide + # `rename` has no effect in this implementation + n = 20 + ts = np.linspace(1e-9 / n, 1e-9, n) + data = pd.DataFrame( + { + "t": ts, + "E": np.linspace(-2e-18, -3e-18, n), + "mx": np.sin(ts), + "my": np.cos(ts), + "mz": np.zeros_like(ts), + } + ) + units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} + if "rename" in kwargs: + kwargs.pop("rename") + return ut.Table(data, units, x=x) + + return table_from_file("", **kwargs) + + +# === fixtures for testing.table === +# +# Adapter modules must implement the same set of fixtures. Unsupported tests +# can be skipped by calling `pytest.skip(...)` in the fixtures. + + +@pytest.fixture +def table_llg_factory(): + """LLG tables.""" + return _table_llg_factory + + +@pytest.fixture +def table_minimisation_factory(): + return _table_energy_minimisation_factory + + +@pytest.fixture +def table_hysteresis_factory(): + pytest.skip("Hysteresis not implemented.") + + +@pytest.fixture(params=[_table_energy_minimisation_factory, _table_llg_factory]) +def table_factory(request): + """Energy minimisation or LLG tables.""" + return request.param + + +@pytest.fixture +def table_llg_25ps(): + """LLG data with tmax=25ps.""" + data = pd.DataFrame( + { + "t": [25e-12], + "mx": [1], + } + ) + units = {"t": "s", "mx": ""} + return ut.Table(data, units, x="t") From 75735d394f2948fa8e03e84798503040be170032 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Thu, 30 Jul 2026 16:03:11 +0200 Subject: [PATCH 27/33] Move ipywidgets tests --- ubermagtable/testing/table.py | 26 +------------------------- ubermagtable/tests/test_interact.py | 19 +++++++++++++++++++ ubermagtable/tests/test_table.py | 4 ---- 3 files changed, 20 insertions(+), 29 deletions(-) diff --git a/ubermagtable/testing/table.py b/ubermagtable/testing/table.py index c22277c..c5de81d 100644 --- a/ubermagtable/testing/table.py +++ b/ubermagtable/testing/table.py @@ -1,6 +1,6 @@ """ This module provides tests for the Table class, that plugins should reuse. The tests -depend on a number of fixtures, whic plugins need to implement. +depend on a number of fixtures, which plugins need to implement. The file tests/test_table.py contains a reference implementation of the fixtures using mock data. @@ -189,27 +189,3 @@ def test_table_irfft(table_llg_factory): assert np.allclose(ifft_table.data["t"].values, table.data["t"].values) for y in ifft_table.y: assert np.allclose(ifft_table.data[y].values, table.data[y].values) - - -# TODO: how do we best deal with this? -@pytest.mark.skip -def test_table_slider(self): - # Exception - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) - table = ut.Table.fromfile(self.odtfiles[-5], x="B_hysteresis") - assert isinstance(table.slider(x="B_hysteresis"), ipywidgets.SelectionRangeSlider) - with pytest.raises(ValueError): - table.slider(x="wrong") - - -# TODO: how do we best deal with this? -@pytest.mark.skip -def test_table_selector(self): - table = ut.Table.fromfile(self.odtfiles[0], x="t") - assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) - table = ut.Table.fromfile(self.odtfiles[-4], x="iteration") - assert isinstance(table.selector(), ipywidgets.SelectMultiple) - # Exception - with pytest.raises(ValueError): - table.selector(x="wrong") diff --git a/ubermagtable/tests/test_interact.py b/ubermagtable/tests/test_interact.py index 656004e..71eba3c 100644 --- a/ubermagtable/tests/test_interact.py +++ b/ubermagtable/tests/test_interact.py @@ -1,3 +1,6 @@ +import ipywidgets +import pytest + import ubermagtable as ut @@ -8,3 +11,19 @@ def test_interact(): @ut.interact(xlim=table.slider()) def myplot(xlim): table.mpl(xlim=xlim) + + +def test_table_slider(): + table = ut.sample_data() + assert isinstance(table.slider(x="t"), ipywidgets.SelectionRangeSlider) + + with pytest.raises(ValueError): + table.slider(x="wrong") + + +def test_table_selector(): + table = ut.sample_data() + assert isinstance(table.selector(x="t"), ipywidgets.SelectMultiple) + + with pytest.raises(ValueError): + table.selector(x="wrong") diff --git a/ubermagtable/tests/test_table.py b/ubermagtable/tests/test_table.py index 2367675..1874715 100644 --- a/ubermagtable/tests/test_table.py +++ b/ubermagtable/tests/test_table.py @@ -25,8 +25,6 @@ def table_from_file(filename, /, x=None, rename=True): {"E": 1e-19, "mx": 0, "my": 0, "mz": 1, "iteration": 1}, index=[0] ) units = {"E": "J", "mx": "", "my": "", "mz": "", "iteration": ""} - if "rename" in kwargs: - kwargs.pop("rename") return ut.Table(data, units, x=x) return table_from_file("", **kwargs) @@ -59,8 +57,6 @@ def table_from_file(filename, /, x=None, rename=True): } ) units = {"t": "s", "E": "J", "mx": "", "my": "", "mz": ""} - if "rename" in kwargs: - kwargs.pop("rename") return ut.Table(data, units, x=x) return table_from_file("", **kwargs) From f85fe1dfda2f8d76ad72ad187ab424c8ee0f5af0 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 10:26:11 +0200 Subject: [PATCH 28/33] Final review --- docs/table-basics.ipynb | 119 +++++------- docs/table-fft.ipynb | 296 +++++++++++++++++++++++------- docs/table-interactive-plot.ipynb | 24 ++- docs/table-merge.ipynb | 8 +- docs/table-visualisation.ipynb | 8 +- docs/table-widgets.ipynb | 8 +- ubermagtable/table.py | 14 +- 7 files changed, 336 insertions(+), 141 deletions(-) diff --git a/docs/table-basics.ipynb b/docs/table-basics.ipynb index 1fc724e..96d447d 100644 --- a/docs/table-basics.ipynb +++ b/docs/table-basics.ipynb @@ -19,10 +19,6 @@ "source": [ "import ubermagtable as ut\n", "\n", - "# Sample OOMMF .odt file\n", - "# dirname = os.path.join(\"..\", \"ubermagtable\", \"tests\", \"test_sample\")\n", - "# odtfile = os.path.join(dirname, \"oommf-new-file2.odt\")\n", - "\n", "table = ut.sample_data()" ] }, @@ -142,140 +138,132 @@ ] }, { - "cell_type": "raw", - "metadata": {}, - "source": [ - "By default, column names from OOMMF `.odt` and mumax3 `.txt` files are shortened. This can be changed by passing `rename=False` to the `Table.fromfile` class method:" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "table_not_renamed = ut.Table.fromfile(odtfile, rename=False)" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "The column names are now:" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "table_not_renamed.data" - ] - }, - { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ - "We can specify the name of an independent variable in the table." + "If table data was obtained by using time driver, table data store different values which are all a function of time. Column names of all time-dependent data can be obtained using `y`:" ] }, { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 4, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['mx', 'my', 'mz']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "table.x = \"t\"" + "table.y" ] }, { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ - "If we already knew what the independent variable was going to be when we loaded the file, we could have passed it to `fromfile` method." + "Similarly, column name storing independent variable:" ] }, { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 5, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'t'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "table = ut.Table.fromfile(odtfile, x=\"t\")" + "table.x" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If table data was obtained by using time driver, table data store different values which are all a function of time. Column names of all time-dependent data can be obtained using `y`:" + "The maximum value of `x`:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['mx', 'my', 'mz']" + "3e-09" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "table.y" + "table.xmax" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Similarly, column name storing independent variable:" + "We can specify the name of an independent variable in the table." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'t'" + "'mx'" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "table.x = \"mx\"\n", "table.x" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The maximum value of `x`:" - ] - }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "3e-09" + "['t', 'my', 'mz']" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "table.xmax" + "table.y" ] }, { @@ -287,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -299,7 +287,7 @@ "2 3.000000e-09 0 0 1" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -307,13 +295,6 @@ "source": [ "table" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/table-fft.ipynb b/docs/table-fft.ipynb index 03cdc46..a1e5747 100644 --- a/docs/table-fft.ipynb +++ b/docs/table-fft.ipynb @@ -9,43 +9,6 @@ "`ubermagtable` has the functionality to Fourier transform table data. This can be useful for trying to look at phenomena such as ferromagnetic resonance. " ] }, - { - "cell_type": "markdown", - "id": "0d863c14", - "metadata": {}, - "source": [ - "To give an example of the Fourier transform functionality, a system with a single macrospin has been created. This system has the initial magnetisation along the $x$ direction with an external magnetic field applied along the $z$ direction. We can then use a time driver to evolve the state with a dynamics equation which includes precession and damping. The following code is used to generate data (using the full range of packages available in Ubermag):\n", - "\n", - "```python\n", - "import oommfc as mc\n", - "import discretisedfield as df\n", - "import micromagneticmodel as mm\n", - "\n", - "# Define a macrospin mesh (i.e. one discretisation cell).\n", - "p1 = (0, 0, 0) # first point of the mesh domain (m)\n", - "p2 = (1e-9, 1e-9, 1e-9) # second point of the mesh domain (m)\n", - "n = (1, 1, 1) # discretisation cell size (m)\n", - "\n", - "Ms = 8e6 # magnetisation saturation (A/m)\n", - "H = (0, 0, 2e6) # external magnetic field (A/m)\n", - "gamma0 = 2.211e5 # gyromagnetic ratio (m/As)\n", - "alpha = 0.1 # Gilbert damping\n", - "\n", - "region = df.Region(p1=p1, p2=p2)\n", - "mesh = df.Mesh(region=region, n=n)\n", - "\n", - "system = mm.System(name='macrospin')\n", - "system.energy = mm.Zeeman(H=H)\n", - "system.dynamics = mm.Precession(gamma0=gamma0) + mm.Damping(alpha=alpha)\n", - "system.m = df.Field(mesh, dim=3, value=(1, 0, 0), norm=Ms)\n", - "\n", - "td = mc.TimeDriver()\n", - "td.drive(system, t=0.1e-9, n=200)\n", - "```\n", - "\n", - "However, `ubermagtable` can be used indepentently of most other packages in Ubermag. Therefore, in this example we assume that we already have an `odt` file that we can load from disk using only `ubermagtable`. (When using the full range of Ubermag packages this is generally done automatically in the background and the table made available as `system.table`)." - ] - }, { "cell_type": "code", "execution_count": 1, @@ -60,19 +23,10 @@ }, { "cell_type": "markdown", - "id": "9676fd34-6d8c-48cf-a91e-831396a14fc5", + "id": "982e176d-1845-4b0a-a6d7-4be0d235c041", "metadata": {}, "source": [ - "There is a pre-computed file under `./macrospin/drive-0/macrospin.odt` (obtained with the code shown above):" - ] - }, - { - "cell_type": "raw", - "id": "565e6da7-9aad-4650-8877-3e3e4001a8ac", - "metadata": {}, - "source": [ - "odtfile = os.path.join(\".\", \"macrospin\", \"drive-0\", \"macrospin.odt\")\n", - "table = table_from_file(odtfile, x=\"t\")" + "In this example we create a very simple periodic signal by concatenating the provided sample data four times. The resulting data is not meaningful but allows us to demonstrate Fourier transform and inverse Fourier transform." ] }, { @@ -89,7 +43,13 @@ "cell_type": "code", "execution_count": 3, "id": "f78b26a0-8cf1-4457-8485-339c727db402", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -244,7 +204,15 @@ "cell_type": "code", "execution_count": 4, "id": "858de4db", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "nbval-ignore-output" + ] + }, "outputs": [ { "data": { @@ -258,7 +226,6 @@ } ], "source": [ - "# NBVAL_IGNORE_OUTPUT\n", "table.mpl(y=[\"mx\", \"my\", \"mz\"])" ] }, @@ -282,6 +249,85 @@ "outputs": [ { "data": { + "text/html": [ + "
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" + ], "text/plain": [ " f ft_mx \\\n", "0 0.000000e+00 4.000000e+00+0.000000e+ 00j \n", @@ -318,7 +364,7 @@ ], "source": [ "fft_table = table.rfft(y=[\"mx\", \"my\", \"mz\"])\n", - "fft_table" + "fft_table.data" ] }, { @@ -333,7 +379,15 @@ "cell_type": "code", "execution_count": 6, "id": "3433ec91", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "nbval-ignore-output" + ] + }, "outputs": [ { "data": { @@ -347,7 +401,6 @@ } ], "source": [ - "# NBVAL_IGNORE_OUTPUT\n", "fft_table.apply(np.abs).mpl(y=[\"ft_mx\", \"ft_my\"])" ] }, @@ -367,6 +420,120 @@ "outputs": [ { "data": { + "text/html": [ + "
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" + ], "text/plain": [ " t mx my mz\n", "0 1.000000e-09 1.000000e+00 0.000000e+00 0.000000e+00\n", @@ -390,14 +557,22 @@ ], "source": [ "ifft_table = fft_table.irfft()\n", - "ifft_table" + "ifft_table.data" ] }, { "cell_type": "code", "execution_count": 8, "id": "202473ed", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "nbval-ignore-output" + ] + }, "outputs": [ { "data": { @@ -411,17 +586,8 @@ } ], "source": [ - "# NBVAL_IGNORE_OUTPUT\n", "ifft_table.mpl(y=[\"mx\", \"my\", \"mz\"])" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2649db72-a552-4798-8ae5-332b8a84fad2", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/table-interactive-plot.ipynb b/docs/table-interactive-plot.ipynb index 595ad07..d4aee34 100644 --- a/docs/table-interactive-plot.ipynb +++ b/docs/table-interactive-plot.ipynb @@ -2,7 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Table interactive plot\n", "\n", @@ -140,7 +146,13 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -166,7 +178,13 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "The plot, together with a selector widget is shown. In order to select multiple data columns from the widget list, we hold `Ctrl` (Windows, Linux) or `Cmd` (MacOS) and select multiple data columns.\n", "\n", diff --git a/docs/table-merge.ipynb b/docs/table-merge.ipynb index 1f8917a..4f0c8bf 100644 --- a/docs/table-merge.ipynb +++ b/docs/table-merge.ipynb @@ -2,7 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Table merge\n", "\n", diff --git a/docs/table-visualisation.ipynb b/docs/table-visualisation.ipynb index cebd353..a2fb999 100644 --- a/docs/table-visualisation.ipynb +++ b/docs/table-visualisation.ipynb @@ -2,7 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Table visualisation\n", "\n", diff --git a/docs/table-widgets.ipynb b/docs/table-widgets.ipynb index d329aee..bf55ec1 100644 --- a/docs/table-widgets.ipynb +++ b/docs/table-widgets.ipynb @@ -2,7 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Table widgets\n", "\n", diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 5a9f9c6..3bfb565 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -210,10 +210,14 @@ def apply(self, func, columns=None, args=(), **kwargs): Examples -------- - 1. Applying absolute function to data. + 1. Reversing the sign of all dependent columns >>> import ubermagtable as ut >>> table = ut.sample_data() + >>> table + 0 1.000000e-09 1 0 0 + 1 2.000000e-09 0 1 0 + 2 3.000000e-09 0 0 1 >>> new_table = table.apply(lambda x: -x) >>> new_table t mx my mz @@ -419,7 +423,15 @@ def __lshift__(self, other): >>> import ubermagtable as ut >>> table1 = ut.sample_data() + >>> table1 + 0 1.000000e-09 1 0 0 + 1 2.000000e-09 0 1 0 + 2 3.000000e-09 0 0 1 >>> table2 = ut.sample_data() + >>> table2 + 0 1.000000e-09 1 0 0 + 1 2.000000e-09 0 1 0 + 2 3.000000e-09 0 0 1 >>> merged_table = table1 << table2 >>> table1.xmax 3e-09 From 0409b7c1705256e2866f9301a796d8421206e071 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 10:31:24 +0200 Subject: [PATCH 29/33] Fix broken doctest --- ubermagtable/table.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index 3bfb565..cfefcaf 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -424,11 +424,13 @@ def __lshift__(self, other): >>> import ubermagtable as ut >>> table1 = ut.sample_data() >>> table1 + t mx my mz 0 1.000000e-09 1 0 0 1 2.000000e-09 0 1 0 2 3.000000e-09 0 0 1 >>> table2 = ut.sample_data() >>> table2 + t mx my mz 0 1.000000e-09 1 0 0 1 2.000000e-09 0 1 0 2 3.000000e-09 0 0 1 From d3e36761a150bd7f3eb45edfd71204f39d74c3c3 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 10:42:15 +0200 Subject: [PATCH 30/33] Fix broken doctest --- ubermagtable/table.py | 1 + 1 file changed, 1 insertion(+) diff --git a/ubermagtable/table.py b/ubermagtable/table.py index cfefcaf..a299aff 100644 --- a/ubermagtable/table.py +++ b/ubermagtable/table.py @@ -215,6 +215,7 @@ def apply(self, func, columns=None, args=(), **kwargs): >>> import ubermagtable as ut >>> table = ut.sample_data() >>> table + t mx my mz 0 1.000000e-09 1 0 0 1 2.000000e-09 0 1 0 2 3.000000e-09 0 0 1 From a27fc13f0347d71fa4c96ee710522a6a0a60ab32 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 11:13:20 +0200 Subject: [PATCH 31/33] Ignore pandas output in nbval --- docs/table-fft.ipynb | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/docs/table-fft.ipynb b/docs/table-fft.ipynb index a1e5747..f537f52 100644 --- a/docs/table-fft.ipynb +++ b/docs/table-fft.ipynb @@ -48,7 +48,9 @@ "slideshow": { "slide_type": "" }, - "tags": [] + "tags": [ + "nbval-ignore-output" + ] }, "outputs": [ { @@ -242,6 +244,10 @@ "execution_count": 5, "id": "2fabc78f", "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, "tags": [ "nbval-ignore-output" ] @@ -416,7 +422,15 @@ "cell_type": "code", "execution_count": 7, "id": "8121930d", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "nbval-ignore-output" + ] + }, "outputs": [ { "data": { From 4f3a1576330a6be3e675b00a957913d9652b1c38 Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 12:23:14 +0200 Subject: [PATCH 32/33] Fix random matplotlib failure on Windows --- .github/workflows/test.yml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 5689c18..26f9a66 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -12,6 +12,14 @@ on: env: PYTEST_ADDOPTS: "--color=yes" + # Force the non-interactive Agg backend everywhere. Linux/macOS CI runners + # have no display and matplotlib already falls back to Agg there, but on + # Windows it picks the interactive TkAgg backend, which creates a new + # tk.Tk() interpreter per figure and intermittently fails to load init.tcl + # from the freshly-installed conda env (race with antivirus/file + # materialization). Pinning Agg avoids Tk/Tcl entirely and keeps behaviour + # identical across platforms. + MPLBACKEND: "Agg" jobs: tests: From 2e53292928b72eac90a129e652280ca5a8c3638b Mon Sep 17 00:00:00 2001 From: Martin Lang Date: Wed, 2 Sep 2026 12:35:42 +0200 Subject: [PATCH 33/33] Set matplotlib backend only for unit tests and doctests --- .github/workflows/test.yml | 24 ++++++++++++++++-------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 26f9a66..46ec66f 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -12,14 +12,6 @@ on: env: PYTEST_ADDOPTS: "--color=yes" - # Force the non-interactive Agg backend everywhere. Linux/macOS CI runners - # have no display and matplotlib already falls back to Agg there, but on - # Windows it picks the interactive TkAgg backend, which creates a new - # tk.Tk() interpreter per figure and intermittently fails to load init.tcl - # from the freshly-installed conda env (race with antivirus/file - # materialization). Pinning Agg avoids Tk/Tcl entirely and keeps behaviour - # identical across platforms. - MPLBACKEND: "Agg" jobs: tests: @@ -43,14 +35,30 @@ jobs: environment-file: .github/environment.yml - name: Install package run: python -m pip install .[dev] + # Force the non-interactive Agg backend for the plain-pytest steps below. + # Linux/macOS CI runners have no display and matplotlib already falls + # back to Agg there, but on Windows it picks the interactive TkAgg + # backend, which creates a new tk.Tk() interpreter per figure and + # intermittently fails to load init.tcl from the freshly-installed conda + # env (race with antivirus/file materialization). Pinning Agg avoids + # Tk/Tcl entirely and keeps behaviour identical across platforms. + # This must NOT be set for the notebook-test step: ipykernel only + # auto-activates the headless "inline" backend (which handles figure + # display/capture for nbval) when MPLBACKEND is unset. - name: Unit tests run: invoke test.unittest if: matrix.os != 'ubuntu-latest' + env: + MPLBACKEND: "Agg" - name: Unit tests with coverage run: invoke test.coverage if: matrix.os == 'ubuntu-latest' + env: + MPLBACKEND: "Agg" - name: Documentation tests run: invoke test.docs + env: + MPLBACKEND: "Agg" - name: Jupyter notebook tests run: invoke test.ipynb - name: Upload coverage to Codecov.io